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Goldilocks Pivot FractalsGOLDILOCKS PIVOT FRACTALS - DESCRIPTION Overview Goldilocks Pivot Fractals identifies swing highs and lows using fractal pattern recognition with professional visual presentation. This indicator marks potential reversal points where price creates distinct peaks and valleys - perfect pivot points for support, resistance, and market structure analysis. The "Goldilocks" name reflects the perfectly balanced visual presentation: not too cluttered, not too plain, just right for professional traders. Unlike standard fractal indicators, this edition features fully customizable Buy/Sell labels with tick-based positioning, independent toggle controls, and a high-contrast color scheme optimized for both dark and light chart themes. What Makes It Unique: - Professional label system with full customization (colors, sizes, tick-based offsets) - Toggle labels and arrow shapes independently - High-contrast default colors (teal/maroon) optimized for maximum visibility - Clean, trader-friendly interface with intuitive settings - Works flawlessly on all timeframes and instruments How to Use PERIOD ADJUSTMENT & ADJUSTING SENSITIVITY The Period(s) setting controls how many signals you see: • Period = 2 (default): Shows more signals, catches smaller price swings - best for day trading and scalping • Period = 3-4: Shows medium amount of signals, filters out tiny moves - good for swing trading (holding days to weeks) • Period = 5 or higher: Shows fewer signals, only the biggest turning points - best for long-term position trading - Simple rule: Lower number = more signals. Higher number = fewer, but stronger signals. SIGNALS 🟢 "BUY Label" (Down Fractal) - Marks swing lows and potential support zones - Look for price bouncing up after the fractal forms - Use for identifying pullback entry points in uptrends - Place stops below recent BUY fractals 🔴 "SELL Label" (Up Fractal) - Marks swing highs and potential resistance zones - Look for price rejecting down after the fractal forms - Use for identifying profit targets or short entries - Place stops above recent SELL fractals REPAINTING BEHAVIOR ⚠️ This indicator repaints by design. Fractals require N bars on both sides to confirm, so they appear N bars after the actual pivot point. This is normal and ensures accurate pivot identification. Wait for complete confirmation before trading. TRADING APPLICATIONS 1. Support/Resistance: Mark key price levels for entries and exits 2. Market Structure: higher BUY fractals = uptrend, lower SELL fractals = downtrend 3. Stop Placement: Use recent fractals as logical stop-loss levels 4. Breakout Trading: Monitor price breaking above/below fractal levels 5. Trend Following: Enter on pullbacks to BUY fractals in uptrends 6. Swing Trading: Identify major swing points for position entries CUSTOMIZATION OPTIONS • Show BUY/SELL Labels**: Toggle professional text labels on/off • Show Shapes: Toggle arrow shapes independently • Offset (ticks): Adjust label distance from price bars for perfect positioning • Colors: Customize backgrounds (default: teal/maroon) and text (default: white/yellow) • Label Size: Choose from tiny, small, normal, large, or huge The high-contrast default colors provide excellent visibility without adjustment, but full customization is available to match any chart theme. Key Settings Periods (n) (default: 2): Number of bars on each side of pivot. Lower = more signals, Higher = fewer, stronger signals Show BUY/SELL Labels (default: ON): Display professional text labels Show Shapes (default: ON): Display arrow shapes BUY offset (ticks) (default: 8): Distance BUY labels appear below lows SELL offset (ticks) (default: 8): Distance SELL labels appear above highs Colors: Full customization - defaults optimized for visibility Label size (default: normal): Visual prominence control Key Features ✅ Professional pivot fractal detection ✅ Fully customizable Buy/Sell labels ✅ Independent toggle for labels and shapes ✅ Tick-based offset positioning ✅ High-contrast color scheme ✅ Works on all timeframes and instruments ✅ Clean, intuitive interface ✅ Adjustable sensitivity ✅ Perfect for support/resistance identification ✅ Ideal for market structure analysis
Indicatore Pine Script®
di NPR21
Unmitigated MTF High Low Pro - Cave Diving Bookmap Heatmap Plot Unmitigated MTF High Low Pro - Cave Diving Bookmap Heatmap Plot --- ## 📖 Table of Contents 1. (#what-this-indicator-does) 2. (#core-concepts) 3. (#visual-components) 4. (#the-cave-diving-framework) 5. (#how-to-use-it-for-trading) 6. (#settings--customization) 7. (#best-practices) 8. (#common-scenarios) --- ## What This Indicator Does The **Unmitigated MTF High Low v2.0** tracks unmitigated (untouch) high and low levels across multiple timeframes, helping you identify key support and resistance zones that the market hasn't revisited yet. Think of it as a sophisticated memory system for price action - it remembers where price has been, and more importantly, where it *hasn't been back to*. ### Why "Unmitigated" Matters In futures trading, especially on instruments like NQ and ES, the market has a tendency to revisit levels where liquidity was left behind. An "unmitigated" level is one that hasn't been touched since it was formed. These levels often act as magnets for price, and understanding their age and proximity gives you a significant edge in: - **Entry timing** - Waiting for price to approach tested levels - **Exit planning** - Taking profits before ancient resistance/support - **Risk management** - Avoiding entries when approaching multiple old levels - **Liquidity mapping** - Visualizing where orders likely cluster --- ## Core Concepts ### 1. **Sessions & Age** The indicator uses **New York trading sessions** (6:00 PM to 5:59 PM NY time) as the primary time measurement. This aligns with how futures markets naturally segment their activity. **Age Categories:** - 🟢 **New (0-1 sessions)** - Fresh levels, recently formed - 🟡 **Medium (2-3 sessions)** - Tested by time, gaining significance - 🔴 **Old (4-6 sessions)** - Highly significant, survived multiple days - 🟣 **Ancient (7+ sessions)** - Extreme significance, major support/resistance The longer a level remains unmitigated, the more significant it becomes. Think of it like compound interest - time adds weight to these zones. ### 2. **Multi-Timeframe Tracking** You can set the indicator to track high/low levels from any timeframe (default is 15 minutes). This means you're watching for unmitigated 15-minute highs and lows while trading on, say, a 1-minute or 5-minute chart. **Why this matters:** - Higher timeframe levels have more weight - You can see multiple timeframe structure simultaneously - Helps you avoid fighting larger timeframe momentum ### 3. **Mitigation** A level becomes "mitigated" (deactivated) when price touches it: - **High levels** are mitigated when price reaches or exceeds them - **Low levels** are mitigated when price reaches or goes below them Once mitigated, the level disappears from view. The indicator only shows you the untouch levels that still matter. --- ## Visual Components ### 📊 The Dashboard Table Located in the corner of your chart (configurable), the table shows: ``` ┌─────────┬───────────┬────────┬─────┬───────┐ │ Level │ Price │ Points │ Age │ % │ ├─────────┼───────────┼────────┼─────┼───────┤ │ ↑↑↑↑↑ │ 21,450.25 │ +45.50 │ 8 │ +0.21%│ ← 5th High (Ancient) │ ↑↑↑↑ │ 21,430.00 │ +25.25 │ 5 │ +0.12%│ ← 4th High (Old) │ ↑↑↑ │ 21,420.50 │ +15.75 │ 3 │ +0.07%│ ← 3rd High (Medium) │ ↑↑ │ 21,412.00 │ +7.25 │ 1 │ +0.03%│ ← 2nd High (New) │ ↑ ⚠️ │ 21,408.25 │ +3.50 │ 0 │ +0.02%│ ← 1st High (Proximity Alert!) ├─────────┼───────────┼────────┼─────┼───────┤ │ 15 mins │ 🟢 │ Δ 8.75 │ 2U │ │ ← Status Row ├─────────┼───────────┼────────┼─────┼───────┤ │ ↓ ⚠️ │ 21,399.50 │ -5.25 │ 0 │ -0.02%│ ← 1st Low (Proximity Alert!) │ ↓↓ │ 21,395.00 │ -9.75 │ 2 │ -0.05%│ ← 2nd Low (Medium) │ ↓↓↓ │ 21,385.25 │ -19.50 │ 4 │ -0.09%│ ← 3rd Low (Old) │ ↓↓↓↓ │ 21,370.00 │ -34.75 │ 6 │ -0.16%│ ← 4th Low (Old) │ ↓↓↓↓↓ │ 21,350.75 │ -54.00 │ 9 │ -0.25%│ ← 5th Low (Ancient) ├─────────┼───────────┼────────┼─────┼───────┤ │ 📊 15↑ / 12↓ │ ← Statistics (optional) └─────────┴───────────┴────────┴─────┴───────┘ ``` **Reading the Table:** - **Level Column**: Number of arrows indicates position (1-5), color shows age - **Price**: The actual price level - **Points**: Distance from current price (+ for highs, - for lows) - **Age**: Number of full sessions since creation - **%**: Percentage distance from current price - **⚠️**: Proximity alert - price is within threshold distance - **Status Row**: Shows timeframe, direction (🟢 bullish/🔴 bearish), tunnel width (Δ), and Strat pattern ### 📈 Visual Elements on Chart **1. Level Lines** - Horizontal lines showing each unmitigated level - **Color-coded by age**: Bright colors = new, darker = older, deep purple/teal = ancient - **Line style**: Customizable (solid, dashed, dotted) - Automatically turn **yellow** when price gets close (proximity alert) **2. Price Labels** - Show the exact price and age: "21,450.25 (8d)" - Fixed at small size for clean readability - Positioned with configurable offset from current bar **3. Bands (Optional)** - Shaded zones between pairs of unmitigated levels - Default: Between 1st and 2nd levels (the "tunnel") - Can switch to 1st-3rd, 2nd-3rd, or disable entirely - **Upper band** (pink/maroon) - Between unmitigated highs - **Lower band** (blue/teal) - Between unmitigated lows - These represent the "no man's land" or consolidation zones --- ## The Cave Diving Framework This indicator is designed around the **Cave Diving Trading Framework** - a psychological and technical approach that maps cave diving safety protocols to futures trading risk management. ### 🤿 The Core Metaphor **Cave diving has clear danger zones based on depth and overhead environment. Your trading should too.** #### Shallow Water (New Levels, 0-1 Sessions) - **Light**: Bright colors (bright red highs, bright green lows) - **Psychology**: Fresh territory, recently tested - **Trading**: Be aware but not overly concerned - **Cave Diving Parallel**: You can see the surface, easy exit #### Penetration Depth (Medium Levels, 2-3 Sessions) - **Light**: Medium intensity colors - **Psychology**: Building significance, market memory forming - **Trading**: Start respecting these levels for entries/exits - **Cave Diving Parallel**: Deeper in, need to track your line back #### Deep Dive Zone (Old Levels, 4-6 Sessions) - **Light**: Dark colors (deep maroon, dark blue) - **Psychology**: Highly tested support/resistance - **Trading**: Major decision points, plan accordingly - **Cave Diving Parallel**: Significant overhead, careful navigation required #### Overhead Environment (Ancient Levels, 7+ Sessions) - **Light**: Very dark, purple/deep teal - **Psychology**: Extreme caution required, major liquidity zones - **Trading**: These are your "turn back" signals - don't fight ancient levels - **Cave Diving Parallel**: Maximum danger, no room for error ### 🎯 The Proximity Alert System Just like a cave diver's depth gauge that warns at critical thresholds, the proximity alerts (⚠️) tell you when you're entering a danger zone. When price gets within your configured threshold (default 5 points), the indicator: - Highlights the level in **yellow** on the chart - Shows **⚠️** in the table - Signals: "You're entering a high-significance zone - adjust your position accordingly" This prevents the trading equivalent of going deeper into a cave without checking your air supply. --- ## How to Use It for Trading ### 🎯 Entry Strategies **1. The "Bounce Setup" (Mean Reversion)** - Wait for price to approach an old or ancient unmitigated level - Look for confluence: multiple levels nearby, bands narrowing - Enter when price shows rejection (reversal candle patterns) - **Example**: Price drops to a 6-session-old low, shows bullish engulfing → Long entry **2. The "Break and Retest" (Trend Following)** - Wait for price to break through an unmitigated level (mitigates it) - Enter on the retest of the newly broken level - **Example**: Price breaks above 4-session-old high → Wait for pullback to that level → Long entry **3. The "Tunnel Trade" (Range Trading)** - When bands are active, trade the range between 1st-2nd levels - Short near upper band resistance, long near lower band support - Exit at opposite side or when bands break ### 🚨 Risk Management Rules **The Ancient Level Rule** > Never fight ancient levels (7+ sessions). If you're long and approaching an ancient high, take profits. If you're short and approaching an ancient low, take profits. These levels have survived a full trading week without being touched - there's likely significant liquidity and institutional interest there. **The Proximity Exit Rule** > When you see ⚠️ proximity alerts on multiple levels above/below your position, tighten stops or scale out. This is your "overhead environment" warning. You're in dangerous territory. **The New Level Filter** > Be cautious taking positions based solely on new levels (0-1 sessions). Wait for them to age or combine with other confluence. Fresh levels haven't been tested by time. They're like unconfirmed support/resistance. ### 📊 Reading Market Structure **Bullish Structure (🟢 in status row)** - Unmitigated lows are aging and holding - Price respecting the lower band - Old lows below acting as strong support - **Bias**: Look for long entries at lower levels **Bearish Structure (🔴 in status row)** - Unmitigated highs are aging and holding - Price respecting the upper band - Old highs above acting as strong resistance - **Bias**: Look for short entries at higher levels **The Tunnel Compression** - When the Δ (delta) in the status row is small, levels are tight - This often precedes a breakout - **Trading**: Wait for breakout direction, then trade the break ### 🔄 Strat Integration The indicator shows Strat patterns in the status row: - **1** - Inside bar (consolidation) - **2U** - Broke high only (bullish) - **2D** - Broke low only (bearish) - **3** - Broke both (wide range, volatility) Use these with the unmitigated levels: - **2U near old high** → Potential resistance, watch for rejection - **2D near old low** → Potential support, watch for bounce - **3 pattern** → High volatility, respect wider stops --- ## Settings & Customization ### 📅 Session & Timeframe Settings **HL Interval** (Default: 15 minutes) - The timeframe for high/low calculation - **Lower (1m, 5m)**: More levels, more noise, good for scalping - **Higher (30m, 1H, 4H)**: Fewer levels, stronger significance, good for swing trading - **Recommendation for NQ/ES**: 15m or 30m for day trading, 1H for swing trading **Session Age Threshold** (Default: 2) - How many sessions before a level is considered "old" - Lower = more levels classified as old - Higher = stricter definition of significance ### 📊 Level Display Options **Show Level Lines** - Toggle: Display horizontal lines for each level - **Turn off** if you prefer a cleaner chart and only want the table **Show Level Labels** - Toggle: Display price labels on the chart - **Turn off** for minimal visual clutter **Label Offset** - Distance (in bars) from current price bar to place labels - Increase if labels overlap with price action **Level Line Width & Style** - Customize visual appearance - **Thin solid**: Minimal distraction - **Thick dashed**: High visibility ### 🎨 Age-Based Color Coding Customize colors for each age category (high and low separately): - **New (0-1 sessions)**: Default bright red/green - **Medium (2-3 sessions)**: Default medium intensity - **Old (4+ sessions)**: Default dark red/blue - **Ancient (7+ sessions)**: Default deep purple/teal **Color Strategy Tips:** - Keep ancient levels in highly contrasting colors - Use opacity (transparency) if you want subtler lines - Match your chart's color scheme for aesthetic coherence ### 🎯 Band Settings **Band Mode** - **1st-2nd** (Default): The primary "tunnel" between most recent levels - **1st-3rd**: Wider band, more room for price action - **2nd-3rd**: Band between less immediate levels - **Disabled**: No bands, lines only **Band Colors & Borders** - Customize fill color and border separately - **Tip**: Keep bands very transparent (90-95% transparency) to avoid obscuring price action ### ⚠️ Proximity Alert Settings **Enable Proximity Alerts** - Toggle: Turn on/off the warning system - When enabled, levels within threshold distance show ⚠️ and turn yellow **Alert Threshold** (Default: 5.0 points) - Distance in points to trigger the alert - **For NQ**: 5-10 points is reasonable - **For ES**: 2-5 points is reasonable - **For MES/MNQ**: Scale down proportionally **Alert Highlight Color** - The color lines/labels turn when proximity is triggered - Default: Yellow (high visibility) ### 📋 Table Settings **Show Table** - Toggle: Display the dashboard table **Table Location** - Top Left, Top Right, Bottom Left, Bottom Right - Choose based on your chart layout and other indicators **Text Size** - Tiny, Small, Normal, Large - **Recommendation**: Normal for 1080p monitors, Small for 4K **Show % Distance** - Toggle: Add percentage distance column to table - Useful for comparing relative distances across different price ranges **Show Statistics Row** - Toggle: Show total count of unmitigated highs/lows - Format: "📊 15↑ / 12↓" (15 unmitigated highs, 12 unmitigated lows) - Useful for gauging overall market structure ### ⚡ Performance Settings **Enable Level Cleanup** - Automatically remove very old levels to maintain performance - **Keep on** unless you want unlimited history **Max Lookback Levels** (Default: 10,000) - Maximum number of levels to track - 10,000 ≈ 6+ months of 15-minute bars - **Increase** if you want more history - **Decrease** if experiencing performance issues **Max Boxes Per Band** (Default: 245) - TradingView limit is 500 total boxes - With 2 bands, 245 each = 490 total (safe maximum) --- ## Best Practices ### 🎯 Position Management **1. Scaling In Near Old Levels** ``` Price approaching 5-session-old low: - First position: 30% size at proximity alert (⚠️) - Second position: 40% size at exact level - Third position: 30% size if it shows strong rejection ``` **2. Scaling Out Near Ancient Levels** ``` Holding long position, approaching 8-session-old high: - Exit 50% at proximity alert (⚠️) - Exit 30% at exact level - Trail stop on remaining 20% ``` ### 🧠 Trading Psychology Integration Drawing from principles in *The Mountain Is You*, this indicator helps you: **1. Recognize Self-Sabotage Patterns** - **The Premature Entry**: Entering before price reaches your planned level - **Solution**: Set alerts at unmitigated levels, wait for proximity warnings - **The Profit-Taking Problem**: Exiting too early from fear - **Solution**: Identify the next unmitigated level and commit to holding until proximity alert - **The Loss Holding**: Refusing to exit losing trades - **Solution**: When price breaks through and mitigates your entry level, it's telling you the structure changed **2. Building Better Habits** The color-coded age system trains your brain to: - Respect levels that have proven themselves over time - Distinguish between noise (new levels) and structure (old levels) - Make decisions based on objective data, not fear or greed **3. Emotional Regulation** The proximity alerts serve as: - **Circuit breakers** - Forcing you to re-evaluate before dangerous zones - **Permission to act** - Giving you objective signals to exit without second-guessing - **Validation** - Confirming when you're in alignment with market structure ### 📝 Pre-Market Routine **Daily Setup Checklist:** 1. ✅ Identify the 3 nearest unmitigated highs above current price 2. ✅ Identify the 3 nearest unmitigated lows below current price 3. ✅ Note which are ancient (7+) - these are your "no-go" zones 4. ✅ Check the tunnel width (Δ in status row) - tight or wide? 5. ✅ Set alerts at the 1st high and 1st low for proximity warnings 6. ✅ Plan: "If we go up, I exit at ___. If we go down, I enter at ___." ### 🔄 Timeframe Confluence **Multi-Timeframe Strategy:** Run the indicator on **three instances**: - **15-minute** (short-term structure) - **1-hour** (intermediate structure) - **4-hour** (major structure) **Strong Setup**: When all three timeframes show unmitigated levels converging at the same price zone. **Example:** - 15m: Old low at 21,400 - 1H: Ancient low at 21,398 - 4H: Ancient low at 21,395 - **Result**: 21,395-21,400 is a monster support zone ### ⚠️ What This Indicator Doesn't Do **Not a Crystal Ball** - It doesn't predict where price will go - It shows you where price *hasn't been* and how long it's been avoided - The trading decisions are still yours **Not an Entry Signal Generator** - It provides context and structure - You need to combine it with your entry methodology (price action, indicators, order flow, etc.) **Not Foolproof** - Ancient levels get broken - Proximity alerts can trigger early in strong trends - The market doesn't "owe" you a reversal at any level --- ## Common Scenarios ### Scenario 1: "Level Cluster Ahead" **Situation**: You're long at 21,400. The table shows: - 1st High: 21,425 (2 sessions old) - 2nd High: 21,428 (3 sessions old) - 3rd High: 21,435 (6 sessions old) **Interpretation**: There's a resistance cluster just 25-35 points away. The 6-session-old level is particularly significant. **Action**: - Set first profit target at 21,420 (before the cluster) - Set second target at 21,426 (between 1st and 2nd) - Trail remaining position, but be ready to exit on rejection at 21,435 **Cave Diving Analogy**: You're approaching an overhead section with limited clearance. Lighten your load (reduce position) before entering. --- ### Scenario 2: "Ancient Level Approaches" **Situation**: The market is grinding higher. You see ⚠️ appear next to a 9-session-old high at 21,500. **Interpretation**: This level has survived over a week without being touched. Massive potential liquidity zone. **Action**: - If long, this is your absolute exit zone. Take profits before or at level. - If looking to short, wait for clear rejection (price taps and reverses) - Don't try to buy the breakout until it clearly breaks and retests **Cave Diving Analogy**: Your dive computer is beeping - you've reached your planned turn-back depth. No matter how interesting it looks ahead, honor your plan. --- ### Scenario 3: "Mitigated Levels Create New Structure" **Situation**: Price breaks and mitigates the 1st High. The previous 2nd High becomes the new 1st High. **Interpretation**: The structure just shifted. What was the 2nd level is now most relevant. **Action**: - Watch how price reacts to the newly-mitigated level - If it holds below (acts as resistance), bearish - If it reclaims and holds above (acts as support), bullish - The NEW 1st High is your next target/resistance **Cave Diving Analogy**: You've passed through a restriction - the cave layout ahead is different now. Update your mental map. --- ### Scenario 4: "Tight Tunnel, Upcoming Breakout" **Situation**: The Δ in the status row shows 3.25 points (very tight). Bands are converging. **Interpretation**: Price is consolidating between very close unmitigated levels. Breakout likely. **Action**: - Don't try to predict direction - Set alerts above 1st High and below 1st Low - When break occurs, trade the retest - Expect volatility - use wider stops **Cave Diving Analogy**: You're in a narrow passage. Movement will be sudden and directional once it starts. --- ### Scenario 5: "Imbalanced Structure" **Situation**: The statistics row shows "📊 22↑ / 7↓" **Interpretation**: There are many more unmitigated highs than lows. This suggests: - Price has been declining (hitting lows, leaving highs behind) - Potential bullish reversal zone (lots of overhead supply mitigated) - Or continued bearish structure (resistance everywhere above) **Action**: - Look at the age of those 22 highs - If mostly new (0-2 sessions): Just a recent downmove, not significant yet - If many old/ancient: Strong overhead resistance, be cautious on longs - Compare to price action: Is price respecting the remaining lows? **Cave Diving Analogy**: You've swam deeper than your starting point - most of your markers are above you now. Are you planning the ascent or going deeper? --- ## Final Thoughts: The Philosophy This indicator is built on a simple but powerful principle: **The market has memory, and that memory has weight.** Every unmitigated level represents: - Liquidity left behind - Orders waiting to be filled - Institutional interest potentially parked - Psychological significance for participants The longer a level remains unmitigated, the more "charged" it becomes. When price finally revisits it, something significant usually happens - either a strong reversal or a definitive break. Your job as a trader isn't to predict which outcome will occur. Your job is to: 1. **Recognize** when you're approaching these charged zones 2. **Respect** them by adjusting position size and risk 3. **React** appropriately based on how price behaves at them 4. **Remember** that ancient levels (like ancient wisdom) deserve extra reverence The Cave Diving Framework embedded in this indicator serves as a constant reminder: Trading, like cave diving, requires rigorous respect for environmental hazards, meticulous planning, and the discipline to turn back when your limits are reached. **Every proximity alert is the market asking you**: *"Do you really want to go deeper?"* Sometimes the answer is yes - when your setup, confluence, and risk management all align. Often, the answer should be no - and that's the trader avoiding the accident that would have happened to the gambler. --- ### 🎯 Quick Reference Card **Color System:** - 🟢 Bright colors = New (0-1 sessions) = Shallow water - 🟡 Medium colors = Medium (2-3 sessions) = Penetration depth - 🔴 Dark colors = Old (4-6 sessions) = Deep dive zone - 🟣 Deep dark colors = Ancient (7+ sessions) = Overhead environment **Symbols:** - ↑ ↑↑ ↑↑↑ ↑↑↑↑ ↑↑↑↑↑ = High levels (1st through 5th) - ↓ ↓↓ ↓↓↓ ↓↓↓↓ ↓↓↓↓↓ = Low levels (1st through 5th) - ⚠️ = Proximity alert (danger zone) - 🟢 = Bullish structure - 🔴 = Bearish structure - Δ = Tunnel width (distance between 1st high and 1st low) **Critical Rules:** 1. Never fight ancient levels (7+ sessions) 2. Respect proximity alerts (⚠️) 3. Scale out near old/ancient resistance 4. Wait for confluence when entering 5. Let mitigated levels prove their new role --- **Remember**: The indicator gives you structure. The trading edge comes from your discipline in respecting that structure. Trade safe, trade smart, and always know your exit before your entry. 🎯 --- *"You don't become your best self by denying your patterns. You become your best self by recognizing them, understanding them, and choosing differently." - Adapted from The Mountain Is You* In trading: You don't become profitable by ignoring market structure. You become profitable by recognizing it, understanding it, and choosing your entries accordingly.
Indicatore Pine Script®
di DeLeBlanc
4
Adaptive Genesis Engine [AGE]ADAPTIVE GENESIS ENGINE (AGE) Pure Signal Evolution Through Genetic Algorithms Where Darwin Meets Technical Analysis 🧬 WHAT YOU'RE GETTING - THE PURE INDICATOR This is a technical analysis indicator - it generates signals, visualizes probability, and shows you the evolutionary process in real-time. This is NOT a strategy with automatic execution - it's a sophisticated signal generation system that you control . What This Indicator Does: Generates Long/Short entry signals with probability scores (35-88% range) Evolves a population of up to 12 competing strategies using genetic algorithms Validates strategies through walk-forward optimization (train/test cycles) Visualizes signal quality through premium gradient clouds and confidence halos Displays comprehensive metrics via enhanced dashboard Provides alerts for entries and exits Works on any timeframe, any instrument, any broker What This Indicator Does NOT Do: Execute trades automatically Manage positions or calculate position sizes Place orders on your behalf Make trading decisions for you This is pure signal intelligence. AGE tells you when and how confident it is. You decide whether and how much to trade. 🔬 THE SCIENCE: GENETIC ALGORITHMS MEET TECHNICAL ANALYSIS What Makes This Different - The Evolutionary Foundation Most indicators are static - they use the same parameters forever, regardless of market conditions. AGE is alive . It maintains a population of competing strategies that evolve, adapt, and improve through natural selection principles: Birth: New strategies spawn through crossover breeding (combining DNA from fit parents) plus random mutation for exploration Life: Each strategy trades virtually via shadow portfolios, accumulating wins/losses, tracking drawdown, and building performance history Selection: Strategies are ranked by comprehensive fitness scoring (win rate, expectancy, drawdown control, signal efficiency) Death: Weak strategies are culled periodically, with elite performers (top 2 by default) protected from removal Evolution: The gene pool continuously improves as successful traits propagate and unsuccessful ones die out This is not curve-fitting. Each new strategy must prove itself on out-of-sample data through walk-forward validation before being trusted for live signals. 🧪 THE DNA: WHAT EVOLVES Every strategy carries a 10-gene chromosome controlling how it interprets market data: Signal Sensitivity Genes Entropy Sensitivity (0.5-2.0): Weight given to market order/disorder calculations. Low values = conservative, require strong directional clarity. High values = aggressive, act on weaker order signals. Momentum Sensitivity (0.5-2.0): Weight given to RSI/ROC/MACD composite. Controls responsiveness to momentum shifts vs. mean-reversion setups. Structure Sensitivity (0.5-2.0): Weight given to support/resistance positioning. Determines how much price location within swing range matters. Probability Adjustment Genes Probability Boost (-0.10 to +0.10): Inherent bias toward aggressive (+) or conservative (-) entries. Acts as personality trait - some strategies naturally optimistic, others pessimistic. Trend Strength Requirement (0.3-0.8): Minimum trend conviction needed before signaling. Higher values = only trades strong trends, lower values = acts in weak/sideways markets. Volume Filter (0.5-1.5): Strictness of volume confirmation. Higher values = requires strong volume, lower values = volume less important. Risk Management Genes ATR Multiplier (1.5-4.0): Base volatility scaling for all price levels. Controls whether strategy uses tight or wide stops/targets relative to ATR. Stop Multiplier (1.0-2.5): Stop loss tightness. Lower values = aggressive profit protection, higher values = more breathing room. Target Multiplier (1.5-4.0): Profit target ambition. Lower values = quick scalping exits, higher values = swing trading holds. Adaptation Gene Regime Adaptation (0.0-1.0): How much strategy adjusts behavior based on detected market regime (trending/volatile/choppy). Higher values = more reactive to regime changes. The Magic: AGE doesn't just try random combinations. Through tournament selection and fitness-weighted crossover, successful gene combinations spread through the population while unsuccessful ones fade away. Over 50-100 bars, you'll see the population converge toward genes that work for YOUR instrument and timeframe. 📊 THE SIGNAL ENGINE: THREE-LAYER SYNTHESIS Before any strategy generates a signal, AGE calculates probability through multi-indicator confluence: Layer 1 - Market Entropy (Information Theory) Measures whether price movements exhibit directional order or random walk characteristics: The Math: Shannon Entropy = -Σ(p × log(p)) Market Order = 1 - (Entropy / 0.693) What It Means: High entropy = choppy, random market → low confidence signals Low entropy = directional market → high confidence signals Direction determined by up-move vs down-move dominance over lookback period (default: 20 bars) Signal Output: -1.0 to +1.0 (bearish order to bullish order) Layer 2 - Momentum Synthesis Combines three momentum indicators into single composite score: Components: RSI (40% weight): Normalized to -1/+1 scale using (RSI-50)/50 Rate of Change (30% weight): Percentage change over lookback (default: 14 bars), clamped to ±1 MACD Histogram (30% weight): Fast(12) - Slow(26), normalized by ATR Why This Matters: RSI catches mean-reversion opportunities, ROC catches raw momentum, MACD catches momentum divergence. Weighting favors RSI for reliability while keeping other perspectives. Signal Output: -1.0 to +1.0 (strong bearish to strong bullish) Layer 3 - Structure Analysis Evaluates price position within swing range (default: 50-bar lookback): Position Classification: Bottom 20% of range = Support Zone → bullish bounce potential Top 20% of range = Resistance Zone → bearish rejection potential Middle 60% = Neutral Zone → breakout/breakdown monitoring Signal Logic: At support + bullish candle = +0.7 (strong buy setup) At resistance + bearish candle = -0.7 (strong sell setup) Breaking above range highs = +0.5 (breakout confirmation) Breaking below range lows = -0.5 (breakdown confirmation) Consolidation within range = ±0.3 (weak directional bias) Signal Output: -1.0 to +1.0 (bearish structure to bullish structure) Confluence Voting System Each layer casts a vote (Long/Short/Neutral). The system requires minimum 2-of-3 agreement (configurable 1-3) before generating a signal: Examples: Entropy: Bullish, Momentum: Bullish, Structure: Neutral → Signal generated (2 long votes) Entropy: Bearish, Momentum: Neutral, Structure: Neutral → No signal (only 1 short vote) All three bullish → Signal generated with +5% probability bonus This is the key to quality. Single indicators give too many false signals. Triple confirmation dramatically improves accuracy. 📈 PROBABILITY CALCULATION: HOW CONFIDENCE IS MEASURED Base Probability: Raw_Prob = 50% + (Average_Signal_Strength × 25%) Then AGE applies strategic adjustments: Trend Alignment: Signal with trend: +4% Signal against strong trend: -8% Weak/no trend: no adjustment Regime Adaptation: Trending market (efficiency >50%, moderate vol): +3% Volatile market (vol ratio >1.5x): -5% Choppy market (low efficiency): -2% Volume Confirmation: Volume > 70% of 20-bar SMA: no change Volume below threshold: -3% Volatility State (DVS Ratio): High vol (>1.8x baseline): -4% (reduce confidence in chaos) Low vol (<0.7x baseline): -2% (markets can whipsaw in compression) Moderate elevated vol (1.0-1.3x): +2% (trending conditions emerging) Confluence Bonus: All 3 indicators agree: +5% 2 of 3 agree: +2% Strategy Gene Adjustment: Probability Boost gene: -10% to +10% Regime Adaptation gene: scales regime adjustments by 0-100% Final Probability: Clamped between 35% (minimum) and 88% (maximum) Why These Ranges? Below 35% = too uncertain, better not to signal Above 88% = unrealistic, creates overconfidence Sweet spot: 65-80% for quality entries 🔄 THE SHADOW PORTFOLIO SYSTEM: HOW STRATEGIES COMPETE Each active strategy maintains a virtual trading account that executes in parallel with real-time data: Shadow Trading Mechanics Entry Logic: Calculate signal direction, probability, and confluence using strategy's unique DNA Check if signal meets quality gate: Probability ≥ configured minimum threshold (default: 65%) Confluence ≥ configured minimum (default: 2 of 3) Direction is not zero (must be long or short, not neutral) Verify signal persistence: Base requirement: 2 bars (configurable 1-5) Adapts based on probability: high-prob signals (75%+) enter 1 bar faster, low-prob signals need 1 bar more Adjusts for regime: trending markets reduce persistence by 1, volatile markets add 1 Apply additional filters: Trend strength must exceed strategy's requirement gene Regime filter: if volatile market detected, probability must be 72%+ to override Volume confirmation required (volume > 70% of average) If all conditions met for required persistence bars, enter shadow position at current close price Position Management: Entry Price: Recorded at close of entry bar Stop Loss: ATR-based distance = ATR × ATR_Mult (gene) × Stop_Mult (gene) × DVS_Ratio Take Profit: ATR-based distance = ATR × ATR_Mult (gene) × Target_Mult (gene) × DVS_Ratio Position: +1 (long) or -1 (short), only one at a time per strategy Exit Logic: Check if price hit stop (on low) or target (on high) on current bar Record trade outcome in R-multiples (profit/loss normalized by ATR) Update performance metrics: Total trades counter incremented Wins counter (if profit > 0) Cumulative P&L updated Peak equity tracked (for drawdown calculation) Maximum drawdown from peak recorded Enter cooldown period (default: 8 bars, configurable 3-20) before next entry allowed Reset signal age counter to zero Walk-Forward Tracking: During position lifecycle, trades are categorized: Training Phase (first 250 bars): Trade counted toward training metrics Testing Phase (next 75 bars): Trade counted toward testing metrics (out-of-sample) Live Phase (after WFO period): Trade counted toward overall metrics Why Shadow Portfolios? No lookahead bias (uses only data available at the bar) Realistic execution simulation (entry on close, stop/target checks on high/low) Independent performance tracking for true fitness comparison Allows safe experimentation without risking capital Each strategy learns from its own experience 🏆 FITNESS SCORING: HOW STRATEGIES ARE RANKED Fitness is not just win rate. AGE uses a comprehensive multi-factor scoring system: Core Metrics (Minimum 3 trades required) Win Rate (30% of fitness): WinRate = Wins / TotalTrades Normalized directly (0.0-1.0 scale) Total P&L (30% of fitness): Normalized_PnL = (PnL + 300) / 600 Clamped 0.0-1.0. Assumes P&L range of -300R to +300R for normalization scale. Expectancy (25% of fitness): Expectancy = Total_PnL / Total_Trades Normalized_Expectancy = (Expectancy + 30) / 60 Clamped 0.0-1.0. Rewards consistency of profit per trade. Drawdown Control (15% of fitness): Normalized_DD = 1 - (Max_Drawdown / 15) Clamped 0.0-1.0. Penalizes strategies that suffer large equity retracements from peak. Sample Size Adjustment Quality Factor: <50 trades: 1.0 (full weight, small sample) 50-100 trades: 0.95 (slight penalty for medium sample) 100 trades: 0.85 (larger penalty for large sample) Why penalize more trades? Prevents strategies from gaming the system by taking hundreds of tiny trades to inflate statistics. Favors quality over quantity. Bonus Adjustments Walk-Forward Validation Bonus: if (WFO_Validated): Fitness += (WFO_Efficiency - 0.5) × 0.1 Strategies proven on out-of-sample data receive up to +10% fitness boost based on test/train efficiency ratio. Signal Efficiency Bonus (if diagnostics enabled): if (Signals_Evaluated > 10): Pass_Rate = Signals_Passed / Signals_Evaluated Fitness += (Pass_Rate - 0.1) × 0.05 Rewards strategies that generate high-quality signals passing the quality gate, not just profitable trades. Final Fitness: Clamped at 0.0 minimum (prevents negative fitness values) Result: Elite strategies typically achieve 0.50-0.75 fitness. Anything above 0.60 is excellent. Below 0.30 is prime candidate for culling. 🔬 WALK-FORWARD OPTIMIZATION: ANTI-OVERFITTING PROTECTION This is what separates AGE from curve-fitted garbage indicators. The Three-Phase Process Every new strategy undergoes a rigorous validation lifecycle: Phase 1 - Training Window (First 250 bars, configurable 100-500): Strategy trades normally via shadow portfolio All trades count toward training performance metrics System learns which gene combinations produce profitable patterns Tracks independently: Training_Trades, Training_Wins, Training_PnL Phase 2 - Testing Window (Next 75 bars, configurable 30-200): Strategy continues trading without any parameter changes Trades now count toward testing performance metrics (separate tracking) This is out-of-sample data - strategy has never seen these bars during "optimization" Tracks independently: Testing_Trades, Testing_Wins, Testing_PnL Phase 3 - Validation Check: Minimum_Trades = 5 (configurable 3-15) IF (Train_Trades >= Minimum AND Test_Trades >= Minimum): WR_Efficiency = Test_WinRate / Train_WinRate Expectancy_Efficiency = Test_Expectancy / Train_Expectancy WFO_Efficiency = (WR_Efficiency + Expectancy_Efficiency) / 2 IF (WFO_Efficiency >= 0.55): // configurable 0.3-0.9 Strategy.Validated = TRUE Strategy receives fitness bonus ELSE: Strategy receives 30% fitness penalty ELSE: Validation deferred (insufficient trades in one or both periods) What Validation Means Validated Strategy (Green "✓ VAL" in dashboard): Performed at least 55% as well on unseen data compared to training data Gets fitness bonus: +(efficiency - 0.5) × 0.1 Receives priority during tournament selection for breeding More likely to be chosen as active trading strategy Unvalidated Strategy (Orange "○ TRAIN" in dashboard): Failed to maintain performance on test data (likely curve-fitted to training period) Receives 30% fitness penalty (0.7x multiplier) Makes strategy prime candidate for culling Can still trade but with lower selection probability Insufficient Data (continues collecting): Hasn't completed both training and testing periods yet OR hasn't achieved minimum trade count in both periods Validation check deferred until requirements met Why 55% Efficiency Threshold? If a strategy earned 10R during training but only 5.5R during testing, it still proved an edge exists beyond random luck. Requiring 100% efficiency would be unrealistic - market conditions change between periods. But requiring >50% ensures the strategy didn't completely degrade on fresh data. The Protection: Strategies that work great on historical data but fail on new data are automatically identified and penalized. This prevents the population from being polluted by overfitted strategies that would fail in live trading. 🌊 DYNAMIC VOLATILITY SCALING (DVS): ADAPTIVE STOP/TARGET PLACEMENT AGE doesn't use fixed stop distances. It adapts to current volatility conditions in real-time. Four Volatility Measurement Methods 1. ATR Ratio (Simple Method): Current_Vol = ATR(14) / Close Baseline_Vol = SMA(Current_Vol, 100) Ratio = Current_Vol / Baseline_Vol Basic comparison of current ATR to 100-bar moving average baseline. 2. Parkinson (High-Low Range Based): For each bar: HL = log(High / Low) Parkinson_Vol = sqrt(Σ(HL²) / (4 × Period × log(2))) More stable than close-to-close volatility. Captures intraday range expansion without overnight gap noise. 3. Garman-Klass (OHLC Based): HL_Term = 0.5 × ² CO_Term = (2×log(2) - 1) × ² GK_Vol = sqrt(Σ(HL_Term - CO_Term) / Period) Most sophisticated estimator. Incorporates all four price points (open, high, low, close) plus gap information. 4. Ensemble Method (Default - Median of All Three): Ratio_1 = ATR_Current / ATR_Baseline Ratio_2 = Parkinson_Current / Parkinson_Baseline Ratio_3 = GK_Current / GK_Baseline DVS_Ratio = Median(Ratio_1, Ratio_2, Ratio_3) Why Ensemble? Takes median to avoid outliers and false spikes If ATR jumps but range-based methods stay calm, median prevents overreaction If one method fails, other two compensate Most robust approach across different market conditions Sensitivity Scaling Scaled_Ratio = (Raw_Ratio) ^ Sensitivity Sensitivity 0.3: Cube root - heavily dampens volatility impact Sensitivity 0.5: Square root - moderate dampening Sensitivity 0.7 (Default): Balanced response to volatility changes Sensitivity 1.0: Linear - full 1:1 volatility impact Sensitivity 1.5: Exponential - amplified response to volatility spikes Safety Clamps: Final DVS Ratio always clamped between 0.5x and 2.5x baseline to prevent extreme position sizing or stop placement errors. How DVS Affects Shadow Trading Every strategy's stop and target distances are multiplied by the current DVS ratio: Stop Loss Distance: Stop_Distance = ATR × ATR_Mult (gene) × Stop_Mult (gene) × DVS_Ratio Take Profit Distance: Target_Distance = ATR × ATR_Mult (gene) × Target_Mult (gene) × DVS_Ratio Example Scenario: ATR = 10 points Strategy's ATR_Mult gene = 2.5 Strategy's Stop_Mult gene = 1.5 Strategy's Target_Mult gene = 2.5 DVS_Ratio = 1.4 (40% above baseline volatility - market heating up) Stop = 10 × 2.5 × 1.5 × 1.4 = 52.5 points (vs. 37.5 in normal vol) Target = 10 × 2.5 × 2.5 × 1.4 = 87.5 points (vs. 62.5 in normal vol) Result: During volatility spikes: Stops automatically widen to avoid noise-based exits, targets extend for bigger moves During calm periods: Stops tighten for better risk/reward, targets compress for realistic profit-taking Strategies adapt risk management to match current market behavior 🧬 THE EVOLUTIONARY CYCLE: SPAWN, COMPETE, CULL Initialization (Bar 1) AGE begins with 4 seed strategies (if evolution enabled): Seed Strategy #0 (Balanced): All sensitivities at 1.0 (neutral) Zero probability boost Moderate trend requirement (0.4) Standard ATR/stop/target multiples (2.5/1.5/2.5) Mid-level regime adaptation (0.5) Seed Strategy #1 (Momentum-Focused): Lower entropy sensitivity (0.7), higher momentum (1.5) Slight probability boost (+0.03) Higher trend requirement (0.5) Tighter stops (1.3), wider targets (3.0) Seed Strategy #2 (Entropy-Driven): Higher entropy sensitivity (1.5), lower momentum (0.8) Slight probability penalty (-0.02) More trend tolerant (0.6) Wider stops (1.8), standard targets (2.5) Seed Strategy #3 (Structure-Based): Balanced entropy/momentum (0.8/0.9), high structure (1.4) Slight probability boost (+0.02) Lower trend requirement (0.35) Moderate risk parameters (1.6/2.8) All seeds start with WFO validation bypassed if WFO is disabled, or must validate if enabled. Spawning New Strategies Timing (Adaptive): Historical phase: Every 30 bars (configurable 10-100) Live phase: Every 200 bars (configurable 100-500) Automatically switches to live timing when barstate.isrealtime triggers Conditions: Current population < max population limit (default: 8, configurable 4-12) At least 2 active strategies exist (need parents) Available slot in population array Selection Process: Run tournament selection 3 times with different seeds Each tournament: randomly sample active strategies, pick highest fitness Best from 3 tournaments becomes Parent 1 Repeat independently for Parent 2 Ensures fit parents but maintains diversity Crossover Breeding: For each of 10 genes: Parent1_Fitness = fitness Parent2_Fitness = fitness Weight1 = Parent1_Fitness / (Parent1_Fitness + Parent2_Fitness) Gene1 = parent1's value Gene2 = parent2's value Child_Gene = Weight1 × Gene1 + (1 - Weight1) × Gene2 Fitness-weighted crossover ensures fitter parent contributes more genetic material. Mutation: For each gene in child: IF (random < mutation_rate): Gene_Range = GENE_MAX - GENE_MIN Noise = (random - 0.5) × 2 × mutation_strength × Gene_Range Mutated_Gene = Clamp(Child_Gene + Noise, GENE_MIN, GENE_MAX) Historical mutation rate: 20% (aggressive exploration) Live mutation rate: 8% (conservative stability) Mutation strength: 12% of gene range (configurable 5-25%) Initialization of New Strategy: Unique ID assigned (total_spawned counter) Parent ID recorded Generation = max(parent generations) + 1 Birth bar recorded (for age tracking) All performance metrics zeroed Shadow portfolio reset WFO validation flag set to false (must prove itself) Result: New strategy with hybrid DNA enters population, begins trading in next bar. Competition (Every Bar) All active strategies: Calculate their signal based on unique DNA Check quality gate with their thresholds Manage shadow positions (entries/exits) Update performance metrics Recalculate fitness score Track WFO validation progress Strategies compete indirectly through fitness ranking - no direct interaction. Culling Weak Strategies Timing (Adaptive): Historical phase: Every 60 bars (configurable 20-200, should be 2x spawn interval) Live phase: Every 400 bars (configurable 200-1000, should be 2x spawn interval) Minimum Adaptation Score (MAS): Initial MAS = 0.10 MAS decays: MAS × 0.995 every cull cycle Minimum MAS = 0.03 (floor) MAS represents the "survival threshold" - strategies below this fitness level are vulnerable. Culling Conditions (ALL must be true): Population > minimum population (default: 3, configurable 2-4) At least one strategy has fitness < MAS Strategy's age > culling interval (prevents premature culling of new strategies) Strategy is not in top N elite (default: 2, configurable 1-3) Culling Process: Find worst strategy: For each active strategy: IF (age > cull_interval): Fitness = base_fitness IF (not WFO_validated AND WFO_enabled): Fitness × 0.7 // 30% penalty for unvalidated IF (Fitness < MAS AND Fitness < worst_fitness_found): worst_strategy = this_strategy worst_fitness = Fitness IF (worst_strategy found): Count elite strategies with fitness > worst_fitness IF (elite_count >= elite_preservation_count): Deactivate worst_strategy (set active flag = false) Increment total_culled counter Elite Protection: Even if a strategy's fitness falls below MAS, it survives if fewer than N strategies are better. This prevents culling when population is generally weak. Result: Weak strategies removed from population, freeing slots for new spawns. Gene pool improves over time. Selection for Display (Every Bar) AGE chooses one strategy to display signals: Best fitness = -1 Selected = none For each active strategy: Fitness = base_fitness IF (WFO_validated): Fitness × 1.3 // 30% bonus for validated strategies IF (Fitness > best_fitness): best_fitness = Fitness selected_strategy = this_strategy Display selected strategy's signals on chart Result: Only the highest-fitness (optionally validated-boosted) strategy's signals appear as chart markers. Other strategies trade invisibly in shadow portfolios. 🎨 PREMIUM VISUALIZATION SYSTEM AGE includes sophisticated visual feedback that standard indicators lack: 1. Gradient Probability Cloud (Optional, Default: ON) Multi-layer gradient showing signal buildup 2-3 bars before entry: Activation Conditions: Signal persistence > 0 (same directional signal held for multiple bars) Signal probability ≥ minimum threshold (65% by default) Signal hasn't yet executed (still in "forming" state) Visual Construction: 7 gradient layers by default (configurable 3-15) Each layer is a line-fill pair (top line, bottom line, filled between) Layer spacing: 0.3 to 1.0 × ATR above/below price Outer layers = faint, inner layers = bright Color transitions from base to intense based on layer position Transparency scales with probability (high prob = more opaque) Color Selection: Long signals: Gradient from theme.gradient_bull_mid to theme.gradient_bull_strong Short signals: Gradient from theme.gradient_bear_mid to theme.gradient_bear_strong Base transparency: 92%, reduces by up to 8% for high-probability setups Dynamic Behavior: Cloud grows/shrinks as signal persistence increases/decreases Redraws every bar while signal is forming Disappears when signal executes or invalidates Performance Note: Computationally expensive due to linefill objects. Disable or reduce layers if chart performance degrades. 2. Population Fitness Ribbon (Optional, Default: ON) Histogram showing fitness distribution across active strategies: Activation: Only draws on last bar (barstate.islast) to avoid historical clutter Visual Construction: 10 histogram layers by default (configurable 5-20) Plots 50 bars back from current bar Positioned below price at: lowest_low(100) - 1.5×ATR (doesn't interfere with price action) Each layer represents a fitness threshold (evenly spaced min to max fitness) Layer Logic: For layer_num from 0 to ribbon_layers: Fitness_threshold = min_fitness + (max_fitness - min_fitness) × (layer / layers) Count strategies with fitness ≥ threshold Height = ATR × 0.15 × (count / total_active) Y_position = base_level + ATR × 0.2 × layer Color = Gradient from weak to strong based on layer position Line_width = Scaled by height (taller = thicker) Visual Feedback: Tall, bright ribbon = healthy population, many fit strategies at high fitness levels Short, dim ribbon = weak population, few strategies achieving good fitness Ribbon compression (layers close together) = population converging to similar fitness Ribbon spread = diverse fitness range, active selection pressure Use Case: Quick visual health check without opening dashboard. Ribbon growing upward over time = population improving. 3. Confidence Halo (Optional, Default: ON) Circular polyline around entry signals showing probability strength: Activation: Draws when new position opens (shadow_position changes from 0 to ±1) Visual Construction: 20-segment polyline forming approximate circle Center: Low - 0.5×ATR (long) or High + 0.5×ATR (short) Radius: 0.3×ATR (low confidence) to 1.0×ATR (elite confidence) Scales with: (probability - min_probability) / (1.0 - min_probability) Color Coding: Elite (85%+): Cyan (theme.conf_elite), large radius, minimal transparency (40%) Strong (75-85%): Strong green (theme.conf_strong), medium radius, moderate transparency (50%) Good (65-75%): Good green (theme.conf_good), smaller radius, more transparent (60%) Moderate (<65%): Moderate green (theme.conf_moderate), tiny radius, very transparent (70%) Technical Detail: Uses chart.point array with index-based positioning 5-bar horizontal spread for circular appearance (±5 bars from entry) Curved=false (Pine Script polyline limitation) Fill color matches line color but more transparent (88% vs line's transparency) Purpose: Instant visual probability assessment. No need to check dashboard - halo size/brightness tells the story. 4. Evolution Event Markers (Optional, Default: ON) Visual indicators of genetic algorithm activity: Spawn Markers (Diamond, Cyan): Plots when total_spawned increases on current bar Location: bottom of chart (location.bottom) Color: theme.spawn_marker (cyan/bright blue) Size: tiny Indicates new strategy just entered population Cull Markers (X-Cross, Red): Plots when total_culled increases on current bar Location: bottom of chart (location.bottom) Color: theme.cull_marker (red/pink) Size: tiny Indicates weak strategy just removed from population What It Tells You: Frequent spawning early = population building, active exploration Frequent culling early = high selection pressure, weak strategies dying fast Balanced spawn/cull = healthy evolutionary churn No markers for long periods = stable population (evolution plateaued or optimal genes found) 5. Entry/Exit Markers Clear visual signals for selected strategy's trades: Long Entry (Triangle Up, Green): Plots when selected strategy opens long position (position changes 0 → +1) Location: below bar (location.belowbar) Color: theme.long_primary (green/cyan depending on theme) Transparency: Scales with probability: Elite (85%+): 0% (fully opaque) Strong (75-85%): 10% Good (65-75%): 20% Acceptable (55-65%): 35% Size: small Short Entry (Triangle Down, Red): Plots when selected strategy opens short position (position changes 0 → -1) Location: above bar (location.abovebar) Color: theme.short_primary (red/pink depending on theme) Transparency: Same scaling as long entries Size: small Exit (X-Cross, Orange): Plots when selected strategy closes position (position changes ±1 → 0) Location: absolute (at actual exit price if stop/target lines enabled) Color: theme.exit_color (orange/yellow depending on theme) Transparency: 0% (fully opaque) Size: tiny Result: Clean, probability-scaled markers that don't clutter chart but convey essential information. 6. Stop Loss & Take Profit Lines (Optional, Default: ON) Visual representation of shadow portfolio risk levels: Stop Loss Line: Plots when selected strategy has active position Level: shadow_stop value from selected strategy Color: theme.short_primary with 60% transparency (red/pink, subtle) Width: 2 Style: plot.style_linebr (breaks when no position) Take Profit Line: Plots when selected strategy has active position Level: shadow_target value from selected strategy Color: theme.long_primary with 60% transparency (green, subtle) Width: 2 Style: plot.style_linebr (breaks when no position) Purpose: Shows where shadow portfolio would exit for stop/target Helps visualize strategy's risk/reward ratio Useful for manual traders to set similar levels Disable for cleaner chart (recommended for presentations) 7. Dynamic Trend EMA Gradient-colored trend line that visualizes trend strength: Calculation: EMA(close, trend_length) - default 50 period (configurable 20-100) Slope calculated over 10 bars: (current_ema - ema ) / ema × 100 Color Logic: Trend_direction: Slope > 0.1% = Bullish (1) Slope < -0.1% = Bearish (-1) Otherwise = Neutral (0) Trend_strength = abs(slope) Color = Gradient between: - Neutral color (gray/purple) - Strong bullish (bright green) if direction = 1 - Strong bearish (bright red) if direction = -1 Gradient factor = trend_strength (0 to 1+ scale) Visual Behavior: Faint gray/purple = weak/no trend (choppy conditions) Light green/red = emerging trend (low strength) Bright green/red = strong trend (high conviction) Color intensity = trend strength magnitude Transparency: 50% (subtle, doesn't overpower price action) Purpose: Subconscious awareness of trend state without checking dashboard or indicators. 8. Regime Background Tinting (Subtle) Ultra-low opacity background color indicating detected market regime: Regime Detection: Efficiency = directional_movement / total_range (over trend_length bars) Vol_ratio = current_volatility / average_volatility IF (efficiency > 0.5 AND vol_ratio < 1.3): Regime = Trending (1) ELSE IF (vol_ratio > 1.5): Regime = Volatile (2) ELSE: Regime = Choppy (0) Background Colors: Trending: theme.regime_trending (dark green, 92-93% transparency) Volatile: theme.regime_volatile (dark red, 93% transparency) Choppy: No tint (normal background) Purpose: Subliminal regime awareness Helps explain why signals are/aren't generating Trending = ideal conditions for AGE Volatile = fewer signals, higher thresholds applied Choppy = mixed signals, lower confidence Important: Extremely subtle by design. Not meant to be obvious, just subconscious context. 📊 ENHANCED DASHBOARD Comprehensive real-time metrics in single organized panel (top-right position): Dashboard Structure (5 columns × 14 rows) Header Row: Column 0: "🧬 AGE PRO" + phase indicator (🔴 LIVE or ⏪ HIST) Column 1: "POPULATION" Column 2: "PERFORMANCE" Column 3: "CURRENT SIGNAL" Column 4: "ACTIVE STRATEGY" Column 0: Market State Regime (📈 TREND / 🌊 CHAOS / ➖ CHOP) DVS Ratio (current volatility scaling factor, format: #.##) Trend Direction (▲ BULL / ▼ BEAR / ➖ FLAT with color coding) Trend Strength (0-100 scale, format: #.##) Column 1: Population Metrics Active strategies (count / max_population) Validated strategies (WFO passed / active total) Current generation number Total spawned (all-time strategy births) Total culled (all-time strategy deaths) Column 2: Aggregate Performance Total trades across all active strategies Aggregate win rate (%) - color-coded: Green (>55%) Orange (45-55%) Red (<45%) Total P&L in R-multiples - color-coded by positive/negative Best fitness score in population (format: #.###) MAS - Minimum Adaptation Score (cull threshold, format: #.###) Column 3: Current Signal Status Status indicator: "▲ LONG" (green) if selected strategy in long position "▼ SHORT" (red) if selected strategy in short position "⏳ FORMING" (orange) if signal persisting but not yet executed "○ WAITING" (gray) if no active signal Confidence percentage (0-100%, format: #.#%) Quality assessment: "🔥 ELITE" (cyan) for 85%+ probability "✓ STRONG" (bright green) for 75-85% "○ GOOD" (green) for 65-75% "- LOW" (dim) for <65% Confluence score (X/3 format) Signal age: "X bars" if signal forming "IN TRADE" if position active "---" if no signal Column 4: Selected Strategy Details Strategy ID number (#X format) Validation status: "✓ VAL" (green) if WFO validated "○ TRAIN" (orange) if still in training/testing phase Generation number (GX format) Personal fitness score (format: #.### with color coding) Trade count P&L and win rate (format: #.#R (##%) with color coding) Color Scheme: Panel background: theme.panel_bg (dark, low opacity) Panel headers: theme.panel_header (slightly lighter) Primary text: theme.text_primary (bright, high contrast) Secondary text: theme.text_secondary (dim, lower contrast) Positive metrics: theme.metric_positive (green) Warning metrics: theme.metric_warning (orange) Negative metrics: theme.metric_negative (red) Special markers: theme.validated_marker, theme.spawn_marker Update Frequency: Only on barstate.islast (current bar) to minimize CPU usage Purpose: Quick overview of entire system state No need to check multiple indicators Trading decisions informed by population health, regime state, and signal quality Transparency into what AGE is thinking 🔍 DIAGNOSTICS PANEL (Optional, Default: OFF) Detailed signal quality tracking for optimization and debugging: Panel Structure (3 columns × 8 rows) Position: Bottom-right corner (doesn't interfere with main dashboard) Header Row: Column 0: "🔍 DIAGNOSTICS" Column 1: "COUNT" Column 2: "%" Metrics Tracked (for selected strategy only): Total Evaluated: Every signal that passed initial calculation (direction ≠ 0) Represents total opportunities considered ✓ Passed: Signals that passed quality gate and executed Green color coding Percentage of evaluated signals Rejection Breakdown: ⨯ Probability: Rejected because probability < minimum threshold Most common rejection reason typically ⨯ Confluence: Rejected because confluence < minimum required (e.g., only 1 of 3 indicators agreed) ⨯ Trend: Rejected because signal opposed strong trend Indicates counter-trend protection working ⨯ Regime: Rejected because volatile regime detected and probability wasn't high enough to override Shows regime filter in action ⨯ Volume: Rejected because volume < 70% of 20-bar average Indicates volume confirmation requirement Color Coding: Passed count: Green (success metric) Rejection counts: Red (failure metrics) Percentages: Gray (neutral, informational) Performance Cost: Slight CPU overhead for tracking counters. Disable when not actively optimizing settings. How to Use Diagnostics Scenario 1: Too Few Signals Evaluated: 200 Passed: 10 (5%) ⨯ Probability: 120 (60%) ⨯ Confluence: 40 (20%) ⨯ Others: 30 (15%) Diagnosis: Probability threshold too high for this strategy's DNA. Solution: Lower min probability from 65% to 60%, or allow strategy more time to evolve better DNA. Scenario 2: Too Many False Signals Evaluated: 200 Passed: 80 (40%) Strategy win rate: 45% Diagnosis: Quality gate too loose, letting low-quality signals through. Solution: Raise min probability to 70%, or increase min confluence to 3 (all indicators must agree). Scenario 3: Regime-Specific Issues ⨯ Regime: 90 (45% of rejections) Diagnosis: Frequent volatile regime detection blocking otherwise good signals. Solution: Either accept fewer trades during chaos (recommended), or disable regime filter if you want signals regardless of market state. Optimization Workflow: Enable diagnostics Run 200+ bars Analyze rejection patterns Adjust settings based on data Re-run and compare pass rate Disable diagnostics when satisfied ⚙️ CONFIGURATION GUIDE 🧬 Evolution Engine Settings Enable AGE Evolution (Default: ON): ON: Full genetic algorithm (recommended for best results) OFF: Uses only 4 seed strategies, no spawning/culling (static population for comparison testing) Max Population (4-12, Default: 8): Higher = more diversity, more exploration, slower performance Lower = faster computation, less exploration, risk of premature convergence Sweet spot: 6-8 for most use cases 4 = minimum for meaningful evolution 12 = maximum before diminishing returns Min Population (2-4, Default: 3): Safety floor - system never culls below this count Prevents population extinction during harsh selection Should be at least half of max population Elite Preservation (1-3, Default: 2): Top N performers completely immune to culling Ensures best genes always survive 1 = minimal protection, aggressive selection 2 = balanced (recommended) 3 = conservative, slower gene pool turnover Historical: Spawn Interval (10-100, Default: 30): Bars between spawning new strategies during historical data Lower = faster evolution, more exploration Higher = slower evolution, more evaluation time per strategy 30 bars = ~1-2 hours on 15min chart Historical: Cull Interval (20-200, Default: 60): Bars between culling weak strategies during historical data Should be 2x spawn interval for balanced churn Lower = aggressive selection pressure Higher = patient evaluation Live: Spawn Interval (100-500, Default: 200): Bars between spawning during live trading Much slower than historical for stability Prevents population chaos during live trading 200 bars = ~1.5 trading days on 15min chart Live: Cull Interval (200-1000, Default: 400): Bars between culling during live trading Should be 2x live spawn interval Conservative removal during live trading Historical: Mutation Rate (0.05-0.40, Default: 0.20): Probability each gene mutates during breeding (20% = 2 out of 10 genes on average) Higher = more exploration, slower convergence Lower = more exploitation, faster convergence but risk of local optima 20% balances exploration vs exploitation Live: Mutation Rate (0.02-0.20, Default: 0.08): Mutation rate during live trading Much lower for stability (don't want population to suddenly degrade) 8% = mostly inherits parent genes with small tweaks Mutation Strength (0.05-0.25, Default: 0.12): How much genes change when mutated (% of gene's total range) 0.05 = tiny nudges (fine-tuning) 0.12 = moderate jumps (recommended) 0.25 = large leaps (aggressive exploration) Example: If gene range is 0.5-2.0, 12% strength = ±0.18 possible change 📈 Signal Quality Settings Min Signal Probability (0.55-0.80, Default: 0.65): Quality gate threshold - signals below this never generate 0.55-0.60 = More signals, accept lower confidence (higher risk) 0.65 = Institutional-grade balance (recommended) 0.70-0.75 = Fewer but higher-quality signals (conservative) 0.80+ = Very selective, very few signals (ultra-conservative) Min Confluence Score (1-3, Default: 2): Required indicator agreement before signal generates 1 = Any single indicator can trigger (not recommended - too many false signals) 2 = Requires 2 of 3 indicators agree (RECOMMENDED for balance) 3 = All 3 must agree (very selective, few signals, high quality) Base Persistence Bars (1-5, Default: 2): Base bars signal must persist before entry System adapts automatically: High probability signals (75%+) enter 1 bar faster Low probability signals (<68%) need 1 bar more Trending regime: -1 bar (faster entries) Volatile regime: +1 bar (more confirmation) 1 = Immediate entry after quality gate (responsive but prone to whipsaw) 2 = Balanced confirmation (recommended) 3-5 = Patient confirmation (slower but more reliable) Cooldown After Trade (3-20, Default: 8): Bars to wait after exit before next entry allowed Prevents overtrading and revenge trading 3 = Minimal cooldown (active trading) 8 = Balanced (recommended) 15-20 = Conservative (position trading) Entropy Length (10-50, Default: 20): Lookback period for market order/disorder calculation Lower = more responsive to regime changes (noisy) Higher = more stable regime detection (laggy) 20 = works across most timeframes Momentum Length (5-30, Default: 14): Period for RSI/ROC calculations 14 = standard (RSI default) Lower = more signals, less reliable Higher = fewer signals, more reliable Structure Length (20-100, Default: 50): Lookback for support/resistance swing range 20 = short-term swings (day trading) 50 = medium-term structure (recommended) 100 = major structure (position trading) Trend EMA Length (20-100, Default: 50): EMA period for trend detection and direction bias 20 = short-term trend (responsive) 50 = medium-term trend (recommended) 100 = long-term trend (position trading) ATR Period (5-30, Default: 14): Period for volatility measurement 14 = standard ATR Lower = more responsive to vol changes Higher = smoother vol calculation 📊 Volatility Scaling (DVS) Settings Enable DVS (Default: ON): Dynamic volatility scaling for adaptive stop/target placement Highly recommended to leave ON OFF only for testing fixed-distance stops DVS Method (Default: Ensemble): ATR Ratio: Simple, fast, single-method (good for beginners) Parkinson: High-low range based (good for intraday) Garman-Klass: OHLC based (sophisticated, considers gaps) Ensemble: Median of all three (RECOMMENDED - most robust) DVS Memory (20-200, Default: 100): Lookback for baseline volatility comparison 20 = very responsive to vol changes (can overreact) 100 = balanced adaptation (recommended) 200 = slow, stable baseline (minimizes false vol signals) DVS Sensitivity (0.3-1.5, Default: 0.7): How much volatility affects scaling (power-law exponent) 0.3 = Conservative, heavily dampens vol impact (cube root) 0.5 = Moderate dampening (square root) 0.7 = Balanced response (recommended) 1.0 = Linear, full 1:1 vol response 1.5 = Aggressive, amplified response (exponential) 🔬 Walk-Forward Optimization Settings Enable WFO (Default: ON): Out-of-sample validation to prevent overfitting Highly recommended to leave ON OFF only for testing or if you want unvalidated strategies Training Window (100-500, Default: 250): Bars for in-sample optimization 100 = fast validation, less data (risky) 250 = balanced (recommended) - about 1-2 months on daily, 1-2 weeks on 15min 500 = patient validation, more data (conservative) Testing Window (30-200, Default: 75): Bars for out-of-sample validation Should be ~30% of training window 30 = minimal test (fast validation) 75 = balanced (recommended) 200 = extensive test (very conservative) Min Trades for Validation (3-15, Default: 5): Required trades in BOTH training AND testing periods 3 = minimal sample (risky, fast validation) 5 = balanced (recommended) 10+ = conservative (slow validation, high confidence) WFO Efficiency Threshold (0.3-0.9, Default: 0.55): Minimum test/train performance ratio required 0.30 = Very loose (test must be 30% as good as training) 0.55 = Balanced (recommended) - test must be 55% as good 0.70+ = Strict (test must closely match training) Higher = fewer validated strategies, lower risk of overfitting 🎨 Premium Visuals Settings Visual Theme: Neon Genesis: Cyberpunk aesthetic (cyan/magenta/purple) Carbon Fiber: Industrial look (blue/red/gray) Quantum Blue: Quantum computing (blue/purple/pink) Aurora: Northern lights (teal/orange/purple) ⚡ Gradient Probability Cloud (Default: ON): Multi-layer gradient showing signal buildup Turn OFF if chart lags or for cleaner look Cloud Gradient Layers (3-15, Default: 7): More layers = smoother gradient, more CPU intensive Fewer layers = faster, blockier appearance 🎗️ Population Fitness Ribbon (Default: ON): Histogram showing fitness distribution Turn OFF for cleaner chart Ribbon Layers (5-20, Default: 10): More layers = finer fitness detail Fewer layers = simpler histogram ⭕ Signal Confidence Halo (Default: ON): Circular indicator around entry signals Size/brightness scales with probability Minimal performance cost 🔬 Evolution Event Markers (Default: ON): Diamond (spawn) and X (cull) markers Shows genetic algorithm activity Minimal performance cost 🎯 Stop/Target Lines (Default: ON): Shows shadow portfolio stop/target levels Turn OFF for cleaner chart (recommended for screenshots/presentations) 📊 Enhanced Dashboard (Default: ON): Comprehensive metrics panel Should stay ON unless you want zero overlays 🔍 Diagnostics Panel (Default: OFF): Detailed signal rejection tracking Turn ON when optimizing settings Turn OFF during normal use (slight performance cost) 📈 USAGE WORKFLOW - HOW TO USE THIS INDICATOR Phase 1: Initial Setup & Learning Add AGE to your chart Recommended timeframes: 15min, 30min, 1H (best signal-to-noise ratio) Works on: 5min (day trading), 4H (swing trading), Daily (position trading) Load 1000+ bars for sufficient evolution history Let the population evolve (100+ bars minimum) First 50 bars: Random exploration, poor results expected Bars 50-150: Population converging, fitness improving Bars 150+: Stable performance, validated strategies emerging Watch the dashboard metrics Population should grow toward max capacity Generation number should advance regularly Validated strategies counter should increase Best fitness should trend upward toward 0.50-0.70 range Observe evolution markers Diamond markers (cyan) = new strategies spawning X markers (red) = weak strategies being culled Frequent early activity = healthy evolution Activity slowing = population stabilizing Be patient. Evolution takes time. Don't judge performance before 150+ bars. Phase 2: Signal Observation Watch signals form Gradient cloud builds up 2-3 bars before entry Cloud brightness = probability strength Cloud thickness = signal persistence Check signal quality Look at confidence halo size when entry marker appears Large bright halo = elite setup (85%+) Medium halo = strong setup (75-85%) Small halo = good setup (65-75%) Verify market conditions Check trend EMA color (green = uptrend, red = downtrend, gray = choppy) Check background tint (green = trending, red = volatile, clear = choppy) Trending background + aligned signal = ideal conditions Review dashboard signal status Current Signal column shows: Status (Long/Short/Forming/Waiting) Confidence % (actual probability value) Quality assessment (Elite/Strong/Good) Confluence score (2/3 or 3/3 preferred) Only signals meeting ALL quality gates appear on chart. If you're not seeing signals, population is either still learning or market conditions aren't suitable. Phase 3: Manual Trading Execution When Long Signal Fires: Verify confidence level (dashboard or halo size) Confirm trend alignment (EMA sloping up, green color) Check regime (preferably trending or choppy, avoid volatile) Enter long manually on your broker platform Set stop loss at displayed stop line level (if lines enabled), or use your own risk management Set take profit at displayed target line level, or trail manually Monitor position - exit if X marker appears (signal reversal) When Short Signal Fires: Same verification process Confirm downtrend (EMA sloping down, red color) Enter short manually Use displayed stop/target levels or your own AGE tells you WHEN and HOW CONFIDENT. You decide WHETHER and HOW MUCH. Phase 4: Set Up Alerts (Never Miss a Signal) Right-click on indicator name in legend Select "Add Alert" Choose condition: "AGE Long" = Long entry signal fired "AGE Short" = Short entry signal fired "AGE Exit" = Position reversal/exit signal Set notification method: Sound alert (popup on chart) Email notification Webhook to phone/trading platform Mobile app push notification Name the alert (e.g., "AGE BTCUSD 15min Long") Save alert Recommended: Set alerts for both long and short, enable mobile push notifications. You'll get alerted in real-time even if not watching charts. Phase 5: Monitor Population Health Weekly Review: Check dashboard Population column: Active count should be near max (6-8 of 8) Validated count should be >50% of active Generation should be advancing (1-2 per week typical) Check dashboard Performance column: Aggregate win rate should be >50% (target: 55-65%) Total P&L should be positive (may fluctuate) Best fitness should be >0.50 (target: 0.55-0.70) MAS should be declining slowly (normal adaptation) Check Active Strategy column: Selected strategy should be validated (✓ VAL) Personal fitness should match best fitness Trade count should be accumulating Win rate should be >50% Warning Signs: Zero validated strategies after 300+ bars = settings too strict or market unsuitable Best fitness stuck <0.30 = population struggling, consider parameter adjustment No spawning/culling for 200+ bars = evolution stalled (may be optimal or need reset) Aggregate win rate <45% sustained = system not working on this instrument/timeframe Health Check Pass: 50%+ strategies validated Best fitness >0.50 Aggregate win rate >52% Regular spawn/cull activity Selected strategy validated Phase 6: Optimization (If Needed) Enable Diagnostics Panel (bottom-right) for data-driven tuning: Problem: Too Few Signals Evaluated: 200 Passed: 8 (4%) ⨯ Probability: 140 (70%) Solutions: Lower min probability: 65% → 60% or 55% Reduce min confluence: 2 → 1 Lower base persistence: 2 → 1 Increase mutation rate temporarily to explore new genes Check if regime filter is blocking signals (⨯ Regime high?) Problem: Too Many False Signals Evaluated: 200 Passed: 90 (45%) Win rate: 42% Solutions: Raise min probability: 65% → 70% or 75% Increase min confluence: 2 → 3 Raise base persistence: 2 → 3 Enable WFO if disabled (validates strategies before use) Check if volume filter is being ignored (⨯ Volume low?) Problem: Counter-Trend Losses ⨯ Trend: 5 (only 5% rejected) Losses often occur against trend Solutions: System should already filter trend opposition May need stronger trend requirement Consider only taking signals aligned with higher timeframe trend Use longer trend EMA (50 → 100) Problem: Volatile Market Whipsaws ⨯ Regime: 100 (50% rejected by volatile regime) Still getting stopped out frequently Solutions: System is correctly blocking volatile signals Losses happening because vol filter isn't strict enough Consider not trading during volatile periods (respect the regime) Or disable regime filter and accept higher risk Optimization Workflow: Enable diagnostics Run 200+ bars with current settings Analyze rejection patterns and win rate Make ONE change at a time (scientific method) Re-run 200+ bars and compare results Keep change if improvement, revert if worse Disable diagnostics when satisfied Never change multiple parameters at once - you won't know what worked. Phase 7: Multi-Instrument Deployment AGE learns independently on each chart: Recommended Strategy: Deploy AGE on 3-5 different instruments Different asset classes ideal (e.g., ES futures, EURUSD, BTCUSD, SPY, Gold) Each learns optimal strategies for that instrument's personality Take signals from all 5 charts Natural diversification reduces overall risk Why This Works: When one market is choppy, others may be trending Different instruments respond to different news/catalysts Portfolio-level win rate more stable than single-instrument Evolution explores different parameter spaces on each chart Setup: Same settings across all charts (or customize if preferred) Set alerts for all Take every validated signal across all instruments Position size based on total account (don't overleverage any single signal) ⚠️ REALISTIC EXPECTATIONS - CRITICAL READING What AGE Can Do ✅ Generate probability-weighted signals using genetic algorithms ✅ Evolve strategies in real-time through natural selection ✅ Validate strategies on out-of-sample data (walk-forward optimization) ✅ Adapt to changing market conditions automatically over time ✅ Provide comprehensive metrics on population health and signal quality ✅ Work on any instrument, any timeframe, any broker ✅ Improve over time as weak strategies are culled and fit strategies breed What AGE Cannot Do ❌ Win every trade (typical win rate: 55-65% at best) ❌ Predict the future with certainty (markets are probabilistic, not deterministic) ❌ Work perfectly from bar 1 (needs 100-150 bars to learn and stabilize) ❌ Guarantee profits under all market conditions ❌ Replace your trading discipline and risk management ❌ Execute trades automatically (this is an indicator, not a strategy) ❌ Prevent all losses (drawdowns are normal and expected) ❌ Adapt instantly to regime changes (re-learning takes 50-100 bars) Performance Realities Typical Performance After Evolution Stabilizes (150+ bars): Win Rate: 55-65% (excellent for trend-following systems) Profit Factor: 1.5-2.5 (realistic for validated strategies) Signal Frequency: 5-15 signals per 100 bars (quality over quantity) Drawdown Periods: 20-40% of time in equity retracement (normal trading reality) Max Consecutive Losses: 5-8 losses possible even with 60% win rate (probability says this is normal) Evolution Timeline: Bars 0-50: Random exploration, learning phase - poor results expected, don't judge yet Bars 50-150: Population converging, fitness climbing - results improving Bars 150-300: Stable performance, most strategies validated - consistent results Bars 300+: Mature population, optimal genes dominant - best results Market Condition Dependency: Trending Markets: AGE excels - clear directional moves, high-probability setups Choppy Markets: AGE struggles - fewer signals generated, lower win rate Volatile Markets: AGE cautious - higher rejection rate, wider stops, fewer trades Market Regime Changes: When market shifts from trending to choppy overnight Validated strategies can become temporarily invalidated AGE will adapt through evolution, but not instantly Expect 50-100 bar re-learning period after major regime shifts Fitness may temporarily drop then recover This is NOT a holy grail. It's a sophisticated signal generator that learns and adapts using genetic algorithms. Your success depends on: Patience during learning periods (don't abandon after 3 losses) Proper position sizing (risk 0.5-2% per trade, not 10%) Following signals consistently (cherry-picking defeats statistical edge) Not abandoning system prematurely (give it 200+ bars minimum) Understanding probability (60% win rate means 40% of trades WILL lose) Respecting market conditions (trending = trade more, choppy = trade less) Managing emotions (AGE is emotionless, you need to be too) Expected Drawdowns: Single-strategy max DD: 10-20% of equity (normal) Portfolio across multiple instruments: 5-15% (diversification helps) Losing streaks: 3-5 consecutive losses expected periodically No indicator eliminates risk. AGE manages risk through: Quality gates (rejecting low-probability signals) Confluence requirements (multi-indicator confirmation) Persistence requirements (no knee-jerk reactions) Regime awareness (reduced trading in chaos) Walk-forward validation (preventing overfitting) But it cannot prevent all losses. That's inherent to trading. 🔧 TECHNICAL SPECIFICATIONS Platform: TradingView Pine Script v5 Indicator Type: Overlay indicator (plots on price chart) Execution Type: Signals only - no automatic order placement Computational Load: Moderate to High (genetic algorithms + shadow portfolios) 8 strategies × shadow portfolio simulation = significant computation Premium visuals add additional load (gradient cloud, fitness ribbon) TradingView Resource Limits (Built-in Caps): Max Bars Back: 500 (sufficient for WFO and evolution) Max Labels: 100 (plenty for entry/exit markers) Max Lines: 150 (adequate for stop/target lines) Max Boxes: 50 (not heavily used) Max Polylines: 100 (confidence halos) Recommended Chart Settings: Timeframe: 15min to 1H (optimal signal/noise balance) 5min: Works but noisier, more signals 4H/Daily: Works but fewer signals Bars Loaded: 1000+ (ensures sufficient evolution history) Replay Mode: Excellent for testing without risk Performance Optimization Tips: Disable gradient cloud if chart lags (most CPU intensive visual) Disable fitness ribbon if still laggy Reduce cloud layers from 7 to 3 Reduce ribbon layers from 10 to 5 Turn off diagnostics panel unless actively tuning Close other heavy indicators to free resources Browser/Platform Compatibility: Works on all modern browsers (Chrome, Firefox, Safari, Edge) Mobile app supported (full functionality on phone/tablet) Desktop app supported (best performance) Web version supported (may be slower on older computers) Data Requirements: Real-time or delayed data both work No special data feeds required Works with TradingView's standard data Historical + live data seamlessly integrated 🎓 THEORETICAL FOUNDATIONS AGE synthesizes advanced concepts from multiple disciplines: Evolutionary Computation Genetic Algorithms (Holland, 1975): Population-based optimization through natural selection metaphor Tournament Selection: Fitness-based parent selection with diversity preservation Crossover Operators: Fitness-weighted gene recombination from two parents Mutation Operators: Random gene perturbation for exploration of new parameter space Elitism: Preservation of top N performers to prevent loss of best solutions Adaptive Parameters: Different mutation rates for historical vs. live phases Technical Analysis Support/Resistance: Price structure within swing ranges Trend Following: EMA-based directional bias Momentum Analysis: RSI, ROC, MACD composite indicators Volatility Analysis: ATR-based risk scaling Volume Confirmation: Trade activity validation Information Theory Shannon Entropy (1948): Quantification of market order vs. disorder Signal-to-Noise Ratio: Directional information vs. random walk Information Content: How much "information" a price move contains Statistics & Probability Walk-Forward Analysis: Rolling in-sample/out-of-sample optimization Out-of-Sample Validation: Testing on unseen data to prevent overfitting Monte Carlo Principles: Shadow portfolio simulation with realistic execution Expectancy Theory: Win rate × avg win - loss rate × avg loss Probability Distributions: Signal confidence quantification Risk Management ATR-Based Stops: Volatility-normalized risk per trade Volatility Regime Detection: Market state classification (trending/choppy/volatile) Drawdown Control: Peak-to-trough equity measurement R-Multiple Normalization: Performance measurement in risk units Machine Learning Concepts Online Learning: Continuous adaptation as new data arrives Fitness Functions: Multi-objective optimization (win rate + expectancy + drawdown) Exploration vs. Exploitation: Balance between trying new strategies and using proven ones Overfitting Prevention: Walk-forward validation as regularization Novel Contribution: AGE is the first TradingView indicator to apply genetic algorithms to real-time indicator parameter optimization while maintaining strict anti-overfitting controls through walk-forward validation. Most "adaptive" indicators simply recalibrate lookback periods or thresholds. AGE evolves entirely new strategies through competitive selection - it's not parameter tuning, it's Darwinian evolution of trading logic itself. The combination of: Genetic algorithm population management Shadow portfolio simulation for realistic fitness evaluation Walk-forward validation to prevent overfitting Multi-indicator confluence for signal quality Dynamic volatility scaling for adaptive risk ...creates a system that genuinely learns and improves over time while avoiding the curse of curve-fitting that plagues most optimization approaches. 🏗️ DEVELOPMENT NOTES This project represents months of intensive development, facing significant technical challenges: Challenge 1: Making Genetics Actually Work Early versions spawned garbage strategies that polluted the gene pool: Random gene combinations produced nonsensical parameter sets Weak strategies survived too long, dragging down population No clear convergence toward optimal solutions Solution: Comprehensive fitness scoring (4 factors: win rate, P&L, expectancy, drawdown) Elite preservation (top 2 always protected) Walk-forward validation (unproven strategies penalized 30%) Tournament selection (fitness-weighted breeding) Adaptive culling (MAS decay creates increasing selection pressure) Challenge 2: Balancing Evolution Speed vs. Stability Too fast = population chaos, no convergence. Too slow = can't adapt to regime changes. Solution: Dual-phase timing: Fast evolution during historical (30/60 bar intervals), slow during live (200/400 bar intervals) Adaptive mutation rates: 20% historical, 8% live Spawn/cull ratio: Always 2:1 to prevent population collapse Challenge 3: Shadow Portfolio Accuracy Needed realistic trade simulation without lookahead bias: Can't peek at future bars for exits Must track multiple portfolios simultaneously Stop/target checks must use bar's high/low correctly Solution: Entry on close (realistic) Exit checks on current bar's high/low (realistic) Independent position tracking per strategy Cooldown periods to prevent unrealistic rapid re-entry ATR-normalized P&L (R-multiples) for fair comparison across volatility regimes Challenge 4: Pine Script Compilation Limits Hit TradingView's execution limits multiple times: Too many array operations Too many variables Too complex conditional logic Solution: Optimized data structures (single DNA array instead of 8 separate arrays) Minimal visual overlays (only essential plots) Efficient fitness calculations (vectorized where possible) Strategic use of barstate.islast to minimize dashboard updates Challenge 5: Walk-Forward Implementation Standard WFO is difficult in Pine Script: Can't easily "roll forward" through historical data Can't re-optimize strategies mid-stream Must work in real-time streaming environment Solution: Age-based phase detection (first 250 bars = training, next 75 = testing) Separate metric tracking for train vs. test Efficiency calculation at fixed interval (after test period completes) Validation flag persists for strategy lifetime Challenge 6: Signal Quality Control Early versions generated too many signals with poor win rates: Single indicators produced excessive noise No trend alignment No regime awareness Instant entries on single-bar spikes Solution: Three-layer confluence system (entropy + momentum + structure) Minimum 2-of-3 agreement requirement Trend alignment checks (penalty for counter-trend) Regime-based probability adjustments Persistence requirements (signals must hold multiple bars) Volume confirmation Quality gate (probability + confluence thresholds) The Result A system that: Truly evolves (not just parameter sweeps) Truly validates (out-of-sample testing) Truly adapts (ongoing competition and breeding) Stays within TradingView's platform constraints Provides institutional-quality signals Maintains transparency (full metrics dashboard) Development time: 3+ months of iterative refinement Lines of code: ~1500 (highly optimized) Test instruments: ES, NQ, EURUSD, BTCUSD, SPY, AAPL Test timeframes: 5min, 15min, 1H, Daily 🎯 FINAL WORDS The Adaptive Genesis Engine is not just another indicator - it's a living system that learns, adapts, and improves through the same principles that drive biological evolution. Every bar it observes adds to its experience. Every strategy it spawns explores new parameter combinations. Every strategy it culls removes weakness from the gene pool. This is evolution in action on your charts. You're not getting a static formula locked in time. You're getting a system that thinks , that competes , that survives through natural selection. The strongest strategies rise to the top. The weakest die. The gene pool improves generation after generation. AGE doesn't claim to predict the future - it adapts to whatever the future brings. When markets shift from trending to choppy, from calm to volatile, from bullish to bearish - AGE evolves new strategies suited to the new regime. Use it on any instrument. Any timeframe. Any market condition. AGE will adapt. This indicator gives you the pure signal intelligence. How you choose to act on it - position sizing, risk management, execution discipline - that's your responsibility. AGE tells you when and how confident . You decide whether and how much . Trust the process. Respect the evolution. Let Darwin work. "In markets, as in nature, it is not the strongest strategies that survive, nor the most intelligent - but those most responsive to change." Taking you to school. — Dskyz, Trade with insight. Trade with anticipation. — Happy Holiday's
Indicatore Pine Script®
di DskyzInvestments
3
On Balance Volume [BrightSideTrading] # On Balance Volume - Complete User Guide ## Overview This enhanced OBV indicator provides clean, actionable volume analysis with intelligent signal filtering. It combines On-Balance Volume (OBV) with a smoothed signal line to identify shifts in buying and selling pressure without chart clutter. **Key Features:** - Real-time OBV and signal line visualization - Smart crossover detection with confirmation filtering - Z-Score momentum analysis - Customizable signal alerts with V-shaped markers - Window-normalized option for detrended analysis --- ## What is On-Balance Volume (OBV)? OBV is a volume-based momentum indicator that accumulates volume on up days and subtracts volume on down days. It answers a fundamental question: **Is volume flowing in (buying) or out (selling)?** **Formula:** - If Close > Previous Close: OBV = Previous OBV + Volume - If Close < Previous Close: OBV = Previous OBV - Volume - If Close = Previous Close: OBV = Previous OBV (unchanged) **What it tells you:** - **Rising OBV** = Accumulation (smart money buying) - **Falling OBV** = Distribution (smart money selling) - **OBV above zero line** = Net positive buying pressure - **OBV below zero line** = Net negative selling pressure --- ## Interface & Settings ### **MAIN VISUALIZATION** **OBV Line (Green/Red Ribbon)** - Green when OBV is above the signal line (bullish trend) - Red when OBV is below the signal line (bearish trend) - Toggles between window-normalized (detrended) and raw values **Signal Line (Orange)** - Smoothed average of OBV - Crossovers with OBV generate buy/sell signals - Default: 21-period SMA **V-Shaped Markers** - Green upward V = Bullish crossover (buy signal) - Red downward V = Bearish crossover (sell signal) - Appears at the OBV value when signal is triggered **Zero Line (Yellow)** - Center equilibrium point for volume balance - Acts as support/resistance for OBV - Separates buying pressure (above) from selling pressure (below) --- ### **SOURCE GROUP** **Source** - **Default:** Close - **Options:** Open, High, Low, or any custom value - Controls which price value triggers OBV direction changes - Most traders use Close for standard OBV calculation --- ### **SIGNAL SMOOTHING GROUP** **Show Signal?** - **Default:** ON - Toggle visibility of the signal line - Disable if you prefer to see raw OBV only **Smoothing Type** - **SMA (Simple Moving Average)** - Default, standard smoothing - **EMA (Exponential Moving Average)** - Faster response, weights recent bars more heavily - **Choose SMA** for consistent, traditional OBV signals - **Choose EMA** for faster trend identification (more whipsaws possible) **Smoothing Length** - **Default:** 21 bars - **Range:** 1-200 bars - **Lower values** (5-14): Faster signals, more noise - **Higher values** (30-50): Slower signals, fewer false alarms - **Recommendation:** Use 21-25 for most timeframes --- ### **SIGNAL FILTERING GROUP** This is your primary control for signal quality and frequency. **Show Signal Markers?** - **Default:** ON - Toggle the V-shaped buy/sell markers on/off - Disable if markers distract from your analysis **Signal Filter Type** - **None** - Shows every single crossover (noisy, best for skilled traders) - **Confirmation Bars** - Waits N bars before confirming signal (recommended) - **Strength-Based** - Only signals during strong momentum (filters weakest moves) #### **CONFIRMATION BARS MODE** (Recommended) Best for reducing false signals while staying responsive to real moves. **Confirmation Bars** - **Default:** 2 bars - **Range:** 1-10 bars - Waits for the signal to hold for N consecutive bars after crossover - **Setting 1:** Every crossover (same as "None") - **Setting 2:** Wait 1 bar confirmation (good balance) - **Setting 3:** Wait 2 bars confirmation (filters 50% of noise) - **Setting 4+:** Very selective, misses quick reversals **How it works:** 1. OBV crosses signal line → Confirmation counter starts 2. If OBV stays on correct side for 2 bars → V-marker appears 3. If OBV crosses back → Counter resets, no signal #### **STRENGTH-BASED MODE** Only signals when momentum is statistically significant. **Min Z-Score Strength** - **Default:** 0.3 - **Range:** 0.0-3.0 - Requires OBV deviation from its mean to reach this threshold - **Setting 0.1-0.3:** More signals, lower quality - **Setting 0.5-0.8:** Moderate signals, good quality - **Setting 1.0+:** Only the strongest momentum shifts **How it works:** - Calculates how far OBV is from its 50-bar average (Z-score) - Only shows signals when this distance is meaningful - Automatically avoids weak, choppy market conditions --- ### **VISUALS & COLORS GROUP** **Highlight Crossovers?** - **Default:** ON - Master toggle for all signal markers - Turn OFF to see only the OBV/signal lines **Apply Ribbon Filling?** - **Default:** ON - Colors the space between OBV and signal line - Green fill = OBV above signal (bullish) - Red fill = OBV below signal (bearish) - Provides clear visual trend confirmation - Turn OFF for minimal chart clutter --- ### **STATS & ZONES GROUP** **Use Window-Normalized OBV (visual only)?** - **Default:** ON - Removes long-term trend from OBV for clearer short-term signals - Detrends the indicator to highlight recent momentum changes - **ON:** Better for swing trading and identifying reversals - **OFF:** Better for trend-following strategies - Note: Z-Score always uses raw OBV for statistical accuracy **OBV Normalize Window** - **Default:** 200 bars - Lookback period for detrending calculation - Larger values = more aggressive detrending - Adjust if you want OBV to oscillate more/less around zero **Show Z-Score (OBV)?** - **Default:** ON - Displays statistical momentum indicator below main chart - Ranges from -3 to +3 (most data within -2 to +2) - High Z-Score = Strong buying momentum - Low Z-Score = Strong selling momentum **Z-Score Lookback** - **Default:** 50 bars - Period for calculating Z-Score mean and standard deviation - Larger = smoother Z-Score, slower response - Smaller = noisier Z-Score, faster response **Show ROC (OBV Momentum)?** - **Default:** OFF - Rate of Change indicator for OBV velocity - Useful for identifying momentum turning points - Enable if you want to see speed of volume changes **ROC Lookback** - **Default:** 14 bars - Period for ROC calculation **Show Z-Score StdDev Zones?** - **Default:** ON - Shaded regions around zero line showing statistical boundaries - Inner Zone (±1 Z) = Normal variation - Outer Zone (±2 Z) = Extreme moves, potential reversals - Helps identify overbought/oversold volume conditions **Inner Zone (±Z)** - **Default:** 1.0 - First boundary for standard deviation zones - Most normal trading occurs within ±1 **Outer Zone (±Z)** - **Default:** 2.0 - Second boundary for extreme conditions - Crossing these zones indicates significant momentum shift --- ## Trading Strategy Examples ### **Strategy 1: Signal Line Crossovers (Beginner)** **Setup:** - Signal Filter Type: **Confirmation Bars** - Confirmation Bars: **2-3** - Show Signal Markers: **ON** **Rules:** 1. **BUY signal** (green V): When OBV crosses above signal line and holds for 2-3 bars - Confirms buying pressure is building - Look for price to follow within 1-3 bars 2. **SELL signal** (red V): When OBV crosses below signal line and holds for 2-3 bars - Confirms selling pressure is increasing - Expect price decline 3. **Exit:** Take profits at next signal or use price support/resistance **Best For:** Swing trading, intraday reversals, timeframes 5m-1h --- ### **Strategy 2: Zero Line Bounce (Intermediate)** **Setup:** - Signal Filter Type: **Strength-Based** - Min Z-Score Strength: **0.5** - Show Z-Score StdDev Zones: **ON** **Rules:** 1. **Watch OBV approach zero line** during established trends - OBV bouncing repeatedly off zero = trend is healthy - OBV breaking through zero = trend reversal imminent 2. **Enter on bounce:** Buy when OBV bounces from zero line in uptrend 3. **Exit on break:** Close position when OBV breaks below zero line 4. **Confirm with Z-Score:** Only take trades when Z-Score shows momentum (|Z| > 0.5) **Best For:** Trend traders, identifying trend strength, medium timeframes 15m-4h --- ### **Strategy 3: Momentum Extremes (Advanced)** **Setup:** - Signal Filter Type: **None** - Show Z-Score StdDev Zones: **ON** - Outer Zone: **2.0** **Rules:** 1. **Identify extremes:** When Z-Score breaks outer zone (±2.0) - Indicator is in extreme territory - Likely overextended 2. **Fade extremes:** Take opposite position when Z-Score hits extreme - High Z (>2.0) = OBV overbought, expect pullback - Low Z (<-2.0) = OBV oversold, expect bounce 3. **Confirm:** Wait for crossover signal to enter 4. **Target:** Outer zone of opposite side or zero line **Best For:** Range trading, mean reversion, experienced traders only --- ## Reading the Indicator in Different Markets ### **Strong Uptrend** - OBV consistently above signal line (green) - OBV well above zero line, rising higher lows - Z-Score positive, trending upward - **Action:** Buy dips to signal line, sell at resistance ### **Strong Downtrend** - OBV consistently below signal line (red) - OBV well below zero line, making lower highs - Z-Score negative, trending downward - **Action:** Sell rallies to signal line, cover at support ### **Consolidation/Choppy Market** - OBV whipsaws around signal line frequently - Crossovers occur every few bars - Z-Score oscillating between -1 and +1 - **Action:** Increase confirmation bars to 3-4, or switch to strength-based filter ### **Accumulation (Bottom Formation)** - OBV rising while price is flat or falling - Volume flowing in despite downtrend (bullish divergence) - Z-Score climbing while price lows hold - **Action:** Expect breakout up; prepare buy near support ### **Distribution (Top Formation)** - OBV falling while price is flat or rising - Volume flowing out despite uptrend (bearish divergence) - Z-Score falling while price continues higher - **Action:** Expect breakdown down; prepare short near resistance --- ## Parameter Tuning Guide ### **Aggressive Settings (More Signals)** - Smoothing Length: 14 - Signal Filter: None or Confirmation Bars: 1 - Min Z-Score: 0.1 - Best for: Day trading, high volatility stocks - Risk: More false signals ### **Balanced Settings (Recommended)** - Smoothing Length: 21 - Signal Filter: Confirmation Bars: 2 - Min Z-Score: 0.3 - Best for: Swing trading, most market conditions - Risk/Reward: Moderate ### **Conservative Settings (Fewer Signals)** - Smoothing Length: 30-40 - Signal Filter: Confirmation Bars: 3-4 or Strength-Based: 0.7+ - Min Z-Score: 0.8 - Best for: Position trading, high-conviction trades only - Risk: May miss some moves --- ## Common Questions & Troubleshooting **Q: Why are there more sell signals than buy signals?** A: This reflects the actual market action. Markets often decline faster than they rise (fear > greed). Confirm signals with price action and support/resistance. **Q: The indicator keeps whipsawing, should I hide it?** A: Increase Confirmation Bars to 3-4 or switch to Strength-Based filter. Market conditions matter—choppy markets require stricter filters. **Q: What's the difference between normalized and raw OBV?** A: Normalized (detrended) shows shorter-term momentum by removing long-term trends. Raw OBV shows absolute accumulation/distribution over the full period. Use normalized for swing signals, raw for trend confirmation. **Q: My signals come too late. How do I get faster entry?** A: Reduce Smoothing Length (try 14 instead of 21), use EMA instead of SMA, or set Confirmation Bars to 1. Trade-off: More false signals. **Q: Can I use this for day trading?** A: Yes, on 1m-5m charts with aggressive settings. Use Confirmation Bars: 1 and focus on Z-Score > 0.5 entries only. **Q: Should I trade every signal?** A: No. Filter signals using: price near support/resistance, multiple indicators confirming, and Z-Score showing momentum. Best signals occur at key levels. --- ## Best Practices 1. **Always confirm with price action:** OBV signals work best when price is near support, resistance, or moving average. Don't trade signals in a vacuum. 2. **Use volume context:** Check if volume is increasing or decreasing on the signal. Strong signals have volume confirmation (increasing volume on OBV spikes). 3. **Adjust settings per timeframe:** - 1m-5m: Smoothing 12, Confirmation 1, Z-Score 0.2 - 15m-1h: Smoothing 20, Confirmation 2, Z-Score 0.3 - 4h-1d: Smoothing 25, Confirmation 3, Z-Score 0.5 4. **Watch the zero line:** It's your friend. OBV behavior at the zero line reveals trend strength. Bounces = healthy trend. Breaks = reversal. 5. **Risk management:** No indicator is perfect. Use proper position sizing and stop losses. OBV should confirm your thesis, not be the only reason to trade. 6. **Combine with other indicators:** - Price moving averages for trend confirmation - RSI or Stochastic for overbought/oversold levels - Support/resistance for entry/exit zones - MACD for momentum divergences --- ## Disclaimer This indicator is for educational and informational purposes only. It is not financial advice. Past performance does not guarantee future results. Always conduct your own research and consult with a financial advisor before making trading decisions. Trading carries risk, including potential loss of principal. --- ## Version History **Version 1.0** - Initial release with enhanced signal filtering, Z-Score analysis, and customizable parameters.
Indicatore Pine Script®
di bbosman129
Impulse Reactor RSI-SMA Trend Indicator [ApexLegion]Impulse Reactor RSI-SMA Trend Indicator Introduction and Theoretical Background Design Rationale Standard indicators frequently generate binary 'BUY' or 'SELL' signals without accounting for the broader market context. This often results in erratic "Flip-Flop" behavior, where signals are triggered indiscriminately regardless of the prevailing volatility regime. Impulse Reactor was engineered to address this limitation by unifying two critical requirements: Quantitative Rigor and Execution Flexibility. The Solution Composite Analytical Framework This script is not a simple visual overlay of existing indicators. It is an algorithmic synthesis designed to function as a unified decision-making engine. The primary objective was to implement rigorous quantitative analysis (Volatility Normalization, Structural Filtering) directly within an alert-enabled framework. This architecture is designed to process signals through strict, multi-factor validation protocols before generating real-time notifications, allowing users to focus on structurally validated setups without manual monitoring. How It Works This is not a simple visual mashup. It utilizes a cross-validation algorithm where the Trend Structure acts as a gatekeeper for Momentum signals: Logic over Lag: Unlike simple moving average crossovers, this script uses a 15-layer Gradient Ribbon to detect "Laminar Flow." If the ribbon is knotted (Compression), the system mathematically suppresses all signals. Volatility Normalization: The core calculation adapts to ATR (Average True Range). This means the indicator automatically expands in volatile markets and contracts in quiet ones, maintaining accuracy without constant manual tweaking. Adaptive Signal Thresholding: It incorporates an 'Anti-Greed' algorithm (Dynamic Thresholding) that automatically adjusts entry criteria based on trend duration. This logic aims to mitigate the risk of entering positions during periods of statistical trend exhaustion. Why Use It? Market State Decoding: The gradient Ribbon visualizes the underlying trend phase in real-time. ◦ Cyan/Blue Flow: Strong Bullish Trend (Laminar Flow). ◦ Magenta/Pink Flow: Strong Bearish Trend. ◦ Compressed/Knotted: When the ribbon lines are tightly squeezed or overlapping, it signals Consolidation. The system filters signals here to avoid chop. Noise Reduction: The goal is not to catch every pivot, but to isolate high-confidence setups. The logic explicitly filters out minor fluctuations to help maintain position alignment with the broader trend. ⚖️ Chapter 1: System Architecture Introduction: Composite Analytical Framework System Overview Impulse Reactor serves as a comprehensive technical analysis engine designed to synthesize three distinct market dimensions—Momentum, Volatility, and Trend Structure—into a unified decision-making framework. Unlike traditional methods that analyze these metrics in isolation, this system functions as a central processing unit that integrates disparate data streams to construct a coherent model of market behavior. Operational Objective The primary objective is to transition from single-dimensional signal generation to a multi-factor assessment model. By fusing data from the Impulse Core (Volatility), Gradient Oscillator (Momentum), and Structural Baseline (Trend), the system aims to filter out stochastic noise and identify high-probability trade setups grounded in quantitative confluence. Market Microstructure Analysis: Limitations of Conventional Models Extensive backtesting and quantitative analysis have identified three critical inefficiencies in standard oscillator-based strategies: • Bounded Oscillator Limitations (The "Oscillation Trap"): Traditional indicators such as RSI or Stochastics are mathematically constrained between fixed values (0 to 100). In strong trending environments, these metrics often saturate in "overbought" or "oversold" zones. Consequently, traders relying on static thresholds frequently exit structurally valid positions prematurely or initiate counter-trend trades against prevailing momentum, resulting in suboptimal performance. • Quantitative Blindness to Quality: Standard moving averages and trend indicators often fail to distinguish the qualitative nature of price movement. They treat low-volume drift and high-velocity expansion identically. This inability to account for "Volatility Quality" leads to delayed responsiveness during critical market events. • Fractal Dissonance (Timeframe Disconnect): Financial markets exhibit fractal characteristics where trends on lower timeframes may contradict higher timeframe structures. Manual integration of multi-timeframe analysis increases cognitive load and susceptibility to human error, often resulting in conflicting biases at the point of execution. Core Design Principles To mitigate the aforementioned systemic inefficiencies, Impulse Reactor employs a modular architecture governed by three foundational principles: Principle A: Volatility Precursor Analysis Market mechanics demonstrate that volatility expansion often functions as a leading indicator for directional price movement. The system is engineered to detect "Volatility Deviation" — specifically, the divergence between short-term and long-term volatility baselines—prior to its manifestation in price action. This allows for entry timing aligned with the expansion phase of market volatility. Principle B: Momentum Density Visualization The system replaces singular momentum lines with a "Momentum Density" model utilizing a 15-layer Simple Moving Average (SMA) Ribbon. • Concept: This visualization represents the aggregate strength and consistency of the trend. • Application: A fully aligned and expanded ribbon indicates a robust trend structure ("Laminar Flow") capable of withstanding minor counter-trend noise, whereas a compressed ribbon signals consolidation or structural weakness. Principle C: Adaptive Confluence Protocols Signal validity is strictly governed by a multi-dimensional confluence logic. The system suppresses signal generation unless there is synchronized confirmation across all three analytical vectors: 1. Volatility: Confirmed expansion via the Impulse Core. 2. Momentum: Directional alignment via the Hybrid Oscillator. 3. Structure: Trend validation via the Baseline. This strict filtering mechanism significantly reduces false positives in non-trending (choppy) environments while maintaining sensitivity to genuine breakouts. 🔍 Chapter 2: Core Modules & Algorithmic Logic Module A: Impulse Core (Normalized Volatility Deviation) Operational Logic The Impulse Core functions as a volatility-normalized momentum gauge rather than a standard oscillator. It is designed to identify "Volatility Contraction" (Squeeze) and "Volatility Expansion" phases by quantifying the divergence between short-term and long-term volatility states. Volatility Z-Score Normalization The formula implements a custom normalization algorithm. Unlike standard oscillators that rely on absolute price changes, this logic calculates the Z-Score of the Volatility Spread. ◦ Numerator: (atr_f - atr_s) captures the raw momentum of volatility expansion. ◦ Denominator: (std_f + 1e-6) standardizes this value against historical variance. ◦ Result: This allows the indicator scales consistently across assets (e.g., Bitcoin vs. Euro) without manual recalibration. f_impulse() => atr_f = ta.atr(fastLen) // Fast Volatility Baseline atr_s = ta.atr(slowLen) // Slow Volatility Baseline std_f = ta.stdev(atr_f, devLen) // Volatility Standard Deviation (atr_f - atr_s) / (std_f + 1e-6) // Normalized Differential Calculation Algorithmic Framework • Differential Calculation: The system computes the spread between a Fast Volatility Baseline (ATR-10) and a Slow Volatility Baseline (ATR-30). • Normalization Protocol: To standardize consistency across diverse asset classes (e.g., Forex vs. Crypto), the raw differential is divided by the standard deviation of the volatility itself over a 30-period lookback. • Signal Generation: ◦ Contraction (Squeeze): When the Fast ATR compresses below the Slow ATR, it registers a potential volatility buildup phase. ◦ Expansion (Release): A rapid divergence of the Fast ATR above the Slow ATR signals a confirmed volatility expansion, validating the strength of the move. Module B: Gradient Oscillator (RSI-SMA Hybrid) Design Rationale To mitigate the "noise" and "false reversal" signals common in single-line oscillators (like standard RSI), this module utilizes a 15-Layer Gradient Ribbon to visualize momentum density and persistence. Technical Architecture • Ribbon Array: The system generates 15 sequential Simple Moving Averages (SMA) applied to a volatility-adjusted RSI source. The length of each layer increases incrementally. • State Analysis: Momentum Alignment (Laminar Flow): When all 15 layers are expanded and parallel, it indicates a robust trend where buying/selling pressure is distributed evenly across multiple timeframes. This state helps filter out premature "overbought/oversold" signals. • Consolidation (Compression): When the distance between the fastest layer (Layer 1) and the slowest layer (Layer 15) approaches zero or the layers intersect, the system identifies a "Non-Tradable Zone," preventing entries during choppy market conditions. // Laminar Flow Validation f_validate_trend() => // Calculate spread between Ribbon layers ribbon_spread = ta.stdev(ribbon_array, 15) // Only allow signals if Ribbon is expanded (Laminar Flow) is_flowing = ribbon_spread > min_expansion_threshold // If compressed (Knotted), force signal to false is_flowing ? signal : na Module C: Adaptive Signal Filtering (Behavioral Bias Mitigation) This subsystem, operating as an algorithmic "Anti-Greed" Mechanism, addresses the statistical tendency for signal degradation following prolonged trends. Dynamic Threshold Adjustment • Win Streak Detection: The algorithm internally tracks the outcome of closed trade cycles. • Sensitivity Multiplier: Upon detecting consecutive successful signals in the same direction, a Penalty_Factor is applied to the entry logic. • Operational Impact: This effectively raises the Required_Slope threshold for subsequent signals. For example, after three consecutive bullish signals, the system requires a 30% steeper trend angle to validate a fourth entry. This enforces stricter discipline during extended trends to reduce the probability of entering at the point of trend exhaustion. Anti-Greed Logic: Dynamic Threshold Calculation f_adjust_threshold(base_slope, win_streak) => // Adds a 10% penalty to the difficulty for every consecutive win penalty_factor = 0.10 risk_scaler = 1 + (win_streak * penalty_factor) // Returns the new, harder-to-reach threshold base_slope * risk_scaler Module D: Trend Baseline (Triple-Smoothed Structure) The Trend Baseline serves as the structural filter for all signals. It employs a Triple-Smoothed Hybrid Algorithm designed to balance lag reduction with noise filtration. Smoothing Stages 1. Volatility Banding: Utilizes a SuperTrend-based calculation to establish the upper and lower boundaries of price action. 2. Weighted Filter: Applies a Weighted Moving Average (WMA) to prioritize recent price data. 3. Exponential Smoothing: A final Exponential Moving Average (EMA) pass is applied to create a seamless baseline curve. Functionality This "Heavy" baseline resists minor intraday volatility spikes while remaining responsive to sustained structural shifts. A signal is only considered valid if the price action maintains structural integrity relative to this baseline 🚦 Chapter 3: Risk Management & Exit Protocols Quantitative Risk Management (TP/SL & Trailing) Foundational Architecture: Volatility-Adjusted Geometry Unlike strategies relying on static nominal values, Impulse Reactor establishes dynamic risk boundaries derived from quantitative volatility metrics. This design aligns trade invalidation levels mathematically with the current market regime. • ATR-Based Dynamic Bracketing: The protocol calculates Stop-Loss and Take-Profit levels by applying Fibonacci coefficients (Default: 0.786 for SL / 1.618 for TP) to the Average True Range (ATR). ◦ High Volatility Environments: The risk bands automatically expand to accommodate wider variance, preventing premature exits caused by standard market noise. ◦ Low Volatility Environments: The bands contract to tighten risk parameters, thereby dynamically adjusting the Risk-to-Reward (R:R) geometry. • Close-Validation Protocol ("Soft Stop"): Institutional algorithms frequently execute liquidity sweeps—driving prices briefly below key support levels to accumulate inventory. ◦ Mechanism: When the "Soft Stop" feature is enabled, the system filters out intraday volatility spikes. The stop-loss is conditional; execution is triggered only if the candle closes beyond the invalidation threshold. ◦ Strategic Advantage: This logic distinguishes between momentary price wicks and genuine structural breakdowns, preserving positions during transient volatility. • Step-Function Trailing Mechanism: To protect unrealized PnL while allowing for normal price breathing, a two-phase trailing methodology is employed: ◦ Phase 1 (Activation): The trailing function remains dormant until the price advances by a pre-defined percentage threshold. ◦ Phase 2 (Dynamic Floor): Once armed, the stop level creates a moving floor, adjusting relative to price action while maintaining a volatility-based (ATR) buffer to systematically protect unrealized PnL. • Algorithmic Exit Protocols (Dynamic Liquidity Analysis) ◦ Rationale: Inefficiencies of Static Targets Static "Take Profit" levels often result in suboptimal exits. They compel traders to close positions based on arbitrary figures rather than evolving market structure, potentially capping upside during significant trends or retaining positions while the underlying trend structure deteriorates. ◦ Solution: Structural Integrity Assessment The system utilizes a Dynamic Liquidity Engine to continuously audit the validity of the position. Instead of targeting a specific price point, the algorithm evaluates whether the trend remains statistically robust. Multi-Factor Exit Logic (The Tri-Vector System) The Smart Exit protocol executes only when specific algorithmic invalidation criteria are met: • 1. Momentum Exhaustion (Confluence Decay): The system monitors a 168-hour rolling average of the Confluence Score. A significant deviation below this historical baseline indicates momentum exhaustion, signaling that the driving force behind the trend has dissipated prior to a price reversal. This enables preemptive exits before a potential drawdown. • 2. Statistical Over-Extension (Mean Reversion): Utilizing the core volatility logic, the system identifies instances where price deviates beyond 2.0 standard deviations from the mean. While the trend may be technically bullish, this statistical anomaly suggests a high probability of mean reversion (elastic snap-back), triggering a defensive exit to capitalize on peak valuation. • 3. Oscillator Rejection (Immediate Pivot): To manage sudden V-shaped volatility, the system monitors RSI pivots. If a sharp "Pivot High" or divergence is detected, the protocol triggers an immediate "Peak Exit," bypassing standard trend filters to secure liquidity during high-velocity reversals. 🎨 Chapter 4: Visualization Guide Gradient Oscillator Ribbon The 15-layer SMA ribbon visualized via plot(r1...r15) represents the "Momentum Density" of the market. • Visuals: ◦ Cyan/Blue Ribbon: Indicates Bullish Momentum. ◦ Pink/Magenta Ribbon: Indicates Bearish Momentum. • Interpretation: ◦ Laminar Flow: When the ribbon expands widely and flows in parallel, it signifies a robust trend where momentum is distributed evenly across timeframes. This is the ideal state for trend-following. ◦ Compression (Consolidation): If the ribbon becomes narrow, twisted, or knotted, it indicates a "Non-Tradable Zone" where the market lacks a unified direction. Traders are advised to wait for clarity. ◦ Over-Extension: If the top layer crosses the Overbought (85) or Oversold (15) lines, it visually warns of potential market overheating. Trend Baseline The thick, color-changing line plotted via plot(baseline) represents the Structural Backbone of the market. • Visuals: Changes color based on the trend direction (Blue for Bullish, Pink for Bearish). • Interpretation: Structural Filter: Long positions are statistically favored only when price action sustains above this baseline, while short positions are favored below it. Dynamic Support/Resistance: The baseline acts as a dynamic support level during uptrends and resistance during downtrends. Entry Signals & Labels Text labels ("Long Entry", "Short Entry") appear when the system detects high-probability setups grounded in quantitative confluence. • Visuals: Labeled signals appear above/below specific candles. • Interpretation: These signals represent moments where Volatility (Expansion), Momentum (Alignment), and Structure (Trend) are synchronized. Smart Exit: Labels such as "Smart Exit" or "Peak Exit" appear when the system detects momentum exhaustion or structural decay, prompting a defensive exit to preserve capital. Dynamic TP/SL Boxes The semi-transparent colored zones drawn via fill() represent the risk management geometry. • Visuals: Colored boxes extending from the entry point to the Take Profit (TP) and Stop Loss (SL) levels. • Function: Volatility-Adjusted Geometry: Unlike static price targets, these boxes expand during high volatility (to prevent wicks from stopping you out) and contract during low volatility (to optimize Risk-to-Reward ratios). SAR + MACD Glow Small glowing shapes appearing above or below candles. • Visuals: Triangle or circle glows near the price bars. • Interpretation: This visual indicates a secondary confirmation where Parabolic SAR and MACD align with the main trend direction. It serves as an additional confluence factor to increase confidence in the trade setup. Support/Resistance Table A small table located at the bottom-right of the chart. • Function: Automatically identifies and displays recent Pivot Highs (Resistance) and Pivot Lows (Support). • Interpretation: These levels can be used as potential targets for Take Profit or invalidation points for manual Stop Loss adjustments. 🖥️ Chapter 5: Dashboard & Operational Guide Integrated Analytics Panel (Dashboard Overview) To facilitate rapid decision-making without manual calculation, the system aggregates critical market dimensions into a unified "Heads-Up Display" (HUD). This panel monitors real-time metrics across multiple timeframes and analytical vectors. A. Intermediate Structure (12H Trend) • Function: Anchors the intraday analysis to the broader market structure using a 12-hour rolling window. • Interpretation: ◦ Bullish (> +0.5%): Indicates a positive structural bias. Long setups align with the macro flow. ◦ Bearish (< -0.5%): Indicates structural weakness. Short setups are statistically favored. ◦ Neutral: Represents a ranging environment where the Confluence Score becomes the primary weighting factor. B. Composite Confluence Score (Signal Confidence) • Definition: A probability metric derived from the synchronization of Volatility (Impulse Core), Momentum (Ribbon), and Trend (Baseline). • Grading Scale: Strong Buy/Sell (> 7.0 / < 3.0): Indicates full alignment across all three vectors. Represents a "Prime Setup" eligible for standard position sizing. Buy/Sell (5.0–7.0 / 3.0–5.0): Indicates a valid trend but with moderate volatility confirmation. Neutral: Signals conflicting data (e.g., Bullish Momentum vs. Bearish Structure). Trading is not recommended ("No-Trade Zone"). C. Statistical Deviation Status (Mean Reversion) • Logic: Utilizes Bollinger Band deviation principles to quantify how far price has stretched from the statistical mean (20 SMA). • Alert States: Over-Extended (> 2.0 SD): Warning that price is statistically likely to revert to the mean (Elastic Snap-back), even if the trend remains technically valid. New entries are discouraged in this zone. Normal: Price is within standard distribution limits, suitable for trend-following entries. D. Volatility Regime Classification • Metric: Compares current ATR against a 100-period historical baseline to categorize the market state. • Regimes: Low Volatility (Lvl < 1.0): Market Compression. Often precedes volatility expansion events. Mid Volatility (Lvl 1.0 - 1.5): Standard operating environment. High Volatility (Lvl > 1.5): Elevated market stress. Risk parameters should be adjusted (e.g., reduced position size) to account for increased variance. E. Performance Telemetry • Function: Displays the historical reliability of the Trend Baseline for the current asset and timeframe. • Operational Threshold: If the displayed Win Rate falls below 40%, it suggests the current market behavior is incoherent (choppy) and does not respect trend logic. In such cases, switching assets or timeframes is recommended. Operational Protocols & Signal Decoding Visual Interpretation Standards • Laminar Flow (Trade Confirmation): A valid trend is visually confirmed when the 15-layer SMA Ribbon is fully expanded and parallel. This indicates distributed momentum across timeframes. • Consolidation (No-Trade): If the ribbon appears twisted, knotted, or compressed, the market lacks a unified directional vector. • Baseline Interaction: The Triple-Smoothed Baseline acts as a dynamic support/resistance filter. Long positions remain valid only while price sustains above this structure. System Calibration (Settings) • Adaptive Signal Filtering (Prev. Anti-Greed): Enabled by default. This logic automatically raises the required trend slope threshold following consecutive wins to mitigate behavioral bias. • Impulse Sensitivity: Controls the reactivity of the Volatility Core. Higher settings capture faster moves but may introduce more noise. ⚙️ Chapter 6: System Configuration & Alert Guide This section provides a complete breakdown of every adjustable setting within Impulse Reactor to assist you in tailoring the engine to your specific needs. 🌐 LANGUAGE SETTINGS (Localization) ◦ Select Language (Default: English): Function: Instantly translates all chart labels, dashboard texts into your preferred language. Supported: English, Korean, Chinese, Spanish ⚡ IMPULSE CORE SETTINGS (Volatility Engine) ◦ Deviation Lookback (Default: 30): The period used to calculate the standard deviation of volatility. Role: Sets the baseline for normalizing momentum. Higher values make the core smoother but slower to react. ◦ Fast Pulse Length (Default: 10): The short-term ATR period. Role: Detects rapid volatility expansion. ◦ Slow Pulse Length (Default: 30): The long-term ATR baseline. Role: Establishes the background volatility level. The core signal is derived from the divergence between Fast and Slow pulses. 🎯 TP/SL SETTINGS (Risk Management) ◦ SL/TP Fibonacci (Default: 0.786 / 1.618): Selects the Fibonacci ratio used for risk calculation. ◦ SL/TP Multiplier (Default: 1.5 / 2): Applies a multiplier to the ATR-based bands. Role: Expands or contracts the Take Profit and Stop Loss boxes. Increase these values for higher volatility assets (like Altcoins) to avoid premature stop-outs. ◦ ATR Length (Default: 14): The lookback period for calculating the Average True Range used in risk geometry. ◦ Use Soft Stop (Close Basis): Role: If enabled, Stop Loss alerts only trigger if a candle closes beyond the invalidation level. This prevents being stopped out by wick manipulations. 🔊 RIBBON SETTINGS (Momentum Visualization) ◦ Show SMA Ribbon: Toggles the visibility of the 15-layer gradient ribbon. ◦ Ribbon Line Count (Default: 15): The number of SMA lines in the ribbon array. ◦ Ribbon Start Length (Default: 2) & Step (Default: 1): Defines the spread of the ribbon. Role: Controls the "thickness" of the momentum density visualization. A wider step creates a broader ribbon, useful for higher timeframes. 📎 DISPLAY OPTIONS ◦ Show Entry Lines / TP/SL Box / Position Labels / S/R Levels / Dashboard: Toggles individual visual elements on the chart to reduce clutter. ◦ Show SAR+MACD Glow: Enables the secondary confirmation shapes (triangles/circles) above/below candles. 📈 TREND BASELINE (Structural Filter) ◦ Supertrend Factor (Default: 12) & ATR Period (Default: 90): Controls the sensitivity of the underlying Supertrend algorithm used for the baseline calculation. ◦ WMA Length (40) & EMA Length (14): The smoothing periods for the Triple-Smoothed Baseline. ◦ Min Trend Duration (Default: 10): The minimum number of bars the trend must be established before a signal is considered valid. 🧠 SMART EXIT (Dynamic Liquidity) ◦ Use Smart Exit: Enables the momentum exhaustion logic. ◦ Exit Threshold Score (Default: 3): The sensitivity level for triggering a Smart Exit. Lower values trigger earlier exits. ◦ Average Period (168) & Min Hold Bars (5): Defines the rolling window for momentum decay analysis and the minimum duration a trade must be held before Smart Exit logic activates. 🛡️ TRAILING STOP (Step) ◦ Use Trailing Stop: Activates the step-function trailing mechanism. ◦ Step 1 Activation % (0.5) & Offset % (0.5): The price must move 0.5% in your favor to arm the first trail level, which sets a stop 0.5% behind price. ◦ Step 2 Activation % (1) & Offset % (0.2): Once price moves 1%, the trail tightens to 0.2%, securing the position. 🌀 SAR & MACD SETTINGS (Secondary Confirmation) ◦ SAR Start/Increment/Max: Standard Parabolic SAR parameters. ◦ SAR Score Scaling (ATR): Adjusts how much weight the SAR signal has in the overall confluence score. ◦ MACD Fast/Slow/Signal: Standard MACD parameters used for the "Glow" signals. 🔄 ANTI-GREED LOGIC (Behavioral Bias) ◦ Strict Entry after Win: Enables the negative feedback loop. ◦ Strict Multiplier (Default: 1.1): Increases the entry difficulty by 10% after each win. Role: Prevents overtrading and entering at the top of an extended trend. 🌍 HTF FILTER (Multi-Timeframe) ◦ Use Auto-Adaptive HTF Filter: Automatically selects a higher timeframe (e.g., 1H -> 4H) to filter signals. ◦ Bypass HTF on Steep Trigger: Allows an entry even against the HTF trend if the local momentum slope is exceptionally steep (catch powerful reversals). 📉 RSI PEAK & CHOPPINESS ◦ RSI Peak Exit (Instant): Triggers an immediate exit if a sharp RSI pivot (V-shape) is detected. ◦ Choppiness Filter: Suppresses signals if the Choppiness Index is above the threshold (Default: 60), indicating a flat market. 📐 SLOPE TRIGGER LOGIC ◦ Force Entry on Steep Slope: Overrides other filters if the price angle is extremely vertical (high velocity). ◦ Slope Sensitivity (1.5): The angle required to trigger this override. ⛔ FLAT MARKET FILTER (ADX & ATR) ◦ Use ADX Filter: Blocks signals if ADX is below the threshold (Default: 20), indicating no trend. ◦ Use ATR Flat Filter: Blocks signals if volatility drops below a critical level (dead market). 🔔 Alert Configuration Guide Impulse Reactor is designed with a comprehensive suite of alert conditions, allowing you to automate your trading or receive real-time notifications for specific market events. How to Set Up: Click the "Alert" (Clock) icon in the TradingView toolbar. Select "Impulse Reactor " from the Condition dropdown. Choose one of the specific trigger conditions below: 🚀 Entry Signals (Trend Initiation) Long Entry: Trigger: Fires when a confirmed Bullish Setup is detected (Momentum + Volatility + Structure align). Usage: Use this to enter new Long positions. Short Entry: Trigger: Fires when a confirmed Bearish Setup is detected. Usage: Use this to enter new Short positions. 🎯 Profit Taking (Target Levels) Long TP: Trigger: Fires when price hits the calculated Take Profit level for a Long trade. Usage: Automate partial or full profit taking. Short TP: Trigger: Fires when price hits the calculated Take Profit level for a Short trade. Usage: Automate partial or full profit taking. 🛡️ Defensive Exits (Risk Management) Smart Exit: Trigger: Fires when the system detects momentum decay or statistical exhaustion (even if the trend hasn't fully reversed). Usage: Recommended for tightening stops or closing positions early to preserve gains. Overbought / Oversold: Trigger: Fires when the ribbon extends into extreme zones. Usage: Warning signal to prepare for a potential reversal or pullback. 💡 Secondary Confirmation (Confluence) SAR+MACD Bullish: Trigger: Fires when Parabolic SAR and MACD align bullishly with the main trend. Usage: Ideal for Pyramiding (adding to an existing winning position). SAR+MACD Bearish: Trigger: Fires when Parabolic SAR and MACD align bearishly. Usage: Ideal for adding to short positions. ⚠️ Chapter 7: Conclusion & Risk Disclosure Methodological Synthesis Impulse Reactor represents a shift from reactive price tracking to proactive energy analysis. By decomposing market activity into its atomic components — Volatility, Momentum, and Structure — and reconstructing them into a coherent decision model, the system aims to provide a quantitative framework for market engagement. It is designed not to predict the future, but to identify high-probability conditions where kinetic energy and trend structure align. Disclaimer & Risk Warnings ◦ Educational Purpose Only This indicator, including all associated code, documentation, and visual outputs, is provided strictly for educational and informational purposes. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. ◦ No Guarantee of Performance Past performance is not indicative of future results. All metrics displayed on the dashboard (including "Win Rate" and "P&L") are theoretical calculations based on historical data. These figures do not account for real-world trading factors such as slippage, liquidity gaps, spread costs, or broker commissions. ◦ High-Risk Warning Trading cryptocurrencies, futures, and leveraged financial products involves a substantial risk of loss. The use of leverage can amplify both gains and losses. Users acknowledge that they are solely responsible for their trading decisions and should conduct independent due diligence before executing any trades. ◦ Software Limitations The software is provided "as is" without warranty. Users should be aware that market data feeds on analysis platforms may experience latency or outages, which can affect signal generation accuracy.
Indicatore Pine Script®
di ApexLegion
15
For Vietnamese: 3D Volume Weighted Liquidity LevelIntroduction The 3D Volume Weighted Liquidity Level indicator visualizes market structure by identifying key support and resistance zones based on Pivot Highs and Lows. Unlike standard support/resistance lines, this tool adds a "3D" dimension by calculating the depth of the zone based on Accumulated Volume and Volatility (ATR). This helps traders visualize the "weighted" or significance of a specific price level. Key Features - 3D Visualization: Draws geometric boxes connecting similar Pivot points to create clear structural zones. - Volume & Volatility Depth: The height (depth) of the box is not random. It is calculated dynamically using the accumulated volume between pivots multiplied by the ATR. Thicker boxes imply higher volume accumulation and volatility at that level. - Liquidity Grab Detection: The indicator automatically detects and highlights bars that "grab liquidity" (break the top of a resistance box or the bottom of a support box), signaling potential stop hunts or reversals. - Customizable Sensitivity: Users can adjust pivot lengths, search depth, and the volume scaling factor to fit different timeframes and assets. How to Use - Support & Resistance: Use the Blue Boxes as potential Support zones and Red Boxes as potential Resistance zones. - Trend Reversals: Watch for the Liquidity Grab signals (colored bars). If price pierces a box but fails to close significantly beyond it, it often indicates a trap or a reversal setup. - Volume Analysis: Pay attention to the thickness of the boxes. A thicker box suggests that a significant amount of volume was traded to form that structure, making it a stronger level of interest.
Indicatore Pine Script®
di doqkhanh
Price Volume Heatmap [MHA Finverse]Price Volume Heatmap - Advanced Volume Profile Analysis Unlock the power of institutional-level volume analysis with the Price Volume Heatmap indicator. This sophisticated tool visualizes market structure through volume distribution across price levels, helping you identify key support/resistance zones, high-probability reversal areas, and optimal entry/exit points. 🎯 What Makes This Indicator Unique? Unlike traditional volume indicators that only show volume over time, this heatmap displays volume distribution across price levels , revealing where the most significant trading activity occurred. The gradient coloring system instantly highlights high-volume nodes (areas of strong interest) and low-volume nodes (potential breakout zones). 📊 Core Features 1. Dynamic Volume Heatmap - Visualizes volume concentration across 250 customizable price levels - Gradient color scheme from high volume (white) to low volume (teal/green) - Adjustable brightness multiplier for enhanced contrast and clarity - Real-time updates as market conditions evolve 2. Point of Control (POC) - Automatically identifies the price level with the highest traded volume - Acts as a magnetic price level where markets often return - Critical for identifying fair value areas and potential reversal zones - Customizable line style, width, and color 3. Flexible Lookback Settings - Lookback Bars: Set any value from 1-5000 bars to control analysis depth - Visible Range Mode: Analyze only what's currently visible on your chart - Timeframe-Specific Settings: Different lookback periods for 1m, 5m, 15m, 30m, 1h, Daily, and Weekly charts - Adapts to your trading style - scalping to position trading 4. Session Separation Analysis - Tokyo Session: 00:00-09:00 UTC - London Session: 07:00-16:00 UTC - New York Session: 13:00-22:00 UTC - Sydney Session: 21:00-06:00 UTC - Daily Reset: Analyze each trading day independently Session separation allows you to understand volume distribution specific to each major trading session, revealing institutional order flow patterns and session-specific support/resistance levels. 5. Profile Width Options - Dynamic: Profile width adjusts based on lookback period - Fixed Bars: Set a specific bar count for consistent profile width - Extend Forward: Project the profile into future bars for planning trades 6. Smart Alerts - POC crossover/crossunder alerts - New session start notifications - Never miss critical price action at high-volume nodes 📈 How to Use This Indicator Professionally Understanding Market Structure: High Volume Nodes (HVN): - Appear as bright/white areas in the heatmap - Represent price levels where significant trading occurred - Act as strong support/resistance zones - Markets often consolidate or bounce from these levels - Trading Strategy: Look for entries when price tests HVN areas with confluence from other indicators Low Volume Nodes (LVN): - Appear as darker/teal areas in the heatmap - Represent price levels with minimal trading activity - Price tends to move quickly through these areas - Often form "gaps" in the volume profile - Trading Strategy: Expect rapid price movement through LVN zones; avoid placing stop losses here Point of Control (POC): - The single most important price level in your analysis window - Represents the fairest price where maximum volume traded - Price gravitates toward POC like a magnet - Trading Strategy: * When price is above POC: bullish bias, POC acts as support * When price is below POC: bearish bias, POC acts as resistance * POC breaks often lead to significant trend changes Session-Based Analysis: Use session separation to understand how different market participants trade: Asian Session (Tokyo/Sydney): - Typically lower volatility and range-bound - Volume profiles often show tight, balanced distribution - Use for identifying overnight ranges and gap fill zones London Session: - Highest volume session for forex pairs - Often shows strong directional bias - Look for breakouts from Asian ranges during London open New York Session: - Maximum participation when overlapping with London - Institutional order flow most visible - POC during NY session often becomes key level for following sessions 🎯 Practical Trading Applications 1. Identifying Support & Resistance: High volume nodes from the heatmap are far more reliable than traditional swing highs/lows. When price approaches an HVN, expect reaction - either a bounce or a significant breakout if breached. 2. Trend Confirmation: - Healthy uptrend: POC rising over time, HVN forming at higher levels - Healthy downtrend: POC falling over time, HVN forming at lower levels - Consolidation: POC relatively flat, volume balanced across range 3. Breakout Trading: When price breaks through a Low Volume Node with momentum, it often continues to the next High Volume Node. Use LVN areas as measured move targets. 4. Reversal Zones: Multiple HVN stacking on top of each other creates a "volume shelf" - an extremely strong support/resistance zone where reversals are highly probable. 5. Risk Management: - Place stops beyond HVN areas (not within LVN zones) - Size positions based on distance to nearest HVN - Use POC as trailing stop level in trending markets ⚙️ Recommended Settings For Day Trading (Scalping/Intraday): - Lookback: 200-500 bars - Rows: 200-250 - Enable session separation for your primary trading session - Profile Width: Dynamic or Fixed Bars (30-50) For Swing Trading: - Lookback: 500-1000 bars - Rows: 250 - Session separation: Daily Reset - Profile Width: Dynamic For Position Trading: - Lookback: 1000-3000 bars - Rows: 250 - Use timeframe-specific settings - Profile Width: Extend Forward (20-50 bars) 💡 Pro Tips 1. Combine this indicator with price action analysis - volume confirms what price is telling you 2. Watch for POC convergence with other technical levels (fibonacci, pivot points, moving averages) 3. Volume at extremes (tops/bottoms of heatmap) often indicates exhaustion 4. Session POC from previous sessions often acts as magnet for current session 5. Increase brightness multiplier (1.5-2.5) for clearer visualization on busy charts 6. Use "Number of Sessions to Display" to analyze consistency of volume levels across multiple sessions 🎨 Customization Fully customizable visual appearance: - Gradient colors for volume visualization - POC line thickness, color, and style - Session line colors and visibility - All settings organized in intuitive groups ⚠️ Disclaimer This indicator is a technical analysis tool and should not be used as the sole basis for trading decisions. Always combine volume analysis with proper risk management, fundamental analysis, and other technical indicators. Past performance does not guarantee future results. --- Support & Updates Regular updates and improvements are made to enhance functionality. For questions, suggestions, or bug reports, please use the comments section below. Happy Trading! 📊💹
Indicatore Pine Script®
di humayunmha
RSI adaptive zones [AdaptiveRSI]This script introduces a unified mathematical framework that auto-scales oversold/overbought and support/resistance zones for any period length. It also adds true RSI candles for spotting intrabar signals. Built on the Logit RSI foundation, this indicator converts RSI into a statistically normalized space, allowing all RSI lengths to share the same mathematical footing. What was once based on experience and observation is now grounded in math. ✦ ✦ ✦ ✦ ✦ 💡 Example Use Cases RSI(14): Classic overbought/oversold signals + divergence Support in an uptrend using RSI(14) Range breakouts using RSI(21) Short-term pullbacks using RSI(5) ✦ ✦ ✦ ✦ ✦ THE PAST: RSI Interpretation Required Multiple Rulebooks Over decades, RSI practitioners discovered that RSI behaves differently depending on trend and lookback length: • In uptrends, RSI tends to hold higher support zones (40–50) • In downtrends, RSI tends to resist below 50–60 • Short RSIs (e.g., RSI(2)) require far more extreme threshold values • Longer RSIs cluster near the center and rarely reach 70/30 These observations were correct — but lacked a unifying mathematical explanation. ✦ ✦ ✦ ✦ ✦ THE PRESENT: One Framework Handles RSI(2) to RSI(200) Instead of using fixed thresholds (70/30, 90/10, etc.), this indicator maps RSI into a normalized statistical space using: • The Logit transformation to remove 0–100 scale distortion • A universal scaling based on 2/√(n−1) scaling factor to equalize distribution shapes As a result, RSI values become directly comparable across all lookback periods. ✦ ✦ ✦ ✦ ✦ 💡 How the Adaptive Zones Are Calculated The adaptive framework defines RSI zones as statistical regimes derived from the Logit-transformed RSI . Each boundary corresponds to a standard deviation (σ) threshold, scaled by 2/√(n−1), making RSI distributions comparable across periods. This structure was inspired by Nassim Nicholas Taleb’s body–shoulders–tails regime model: Body (±0.66σ) — consolidation / equilibrium Shoulders (±1σ to ±2.14σ) — trending region Tails (outside of ±2.14σ) — rare, high-volatility behavior Transitions between these regimes are defined by the derivatives of the position (CDF) function : • ±1σ → shift from consolidation to trend • ±√3σ → shift from trend to exhaustion Adaptive Zone Summary Consolidation: −0.66σ to +0.66σ Support/Resistance: ±0.66σ to ±1σ Uptrend/Downtrend: ±1σ to ±√3σ Overbought/Oversold: ±√3σ to ±2.14σ Tails: outside of ±2.14σ ✦ ✦ ✦ ✦ ✦ 📌 Inverse Transformation: From σ-Space Back to RSI A final step is required to return these statistically normalized boundaries back into the familiar 0–100 RSI scale. Because the Logit transform maps RSI into an unbounded real-number domain, the inverse operation uses the hyperbolic tangent function to compress σ-space back into the bounded RSI range. RSI(n) = 50 + 50 · tanh(z / √(n − 1)) The result is a smooth, mathematically consistent conversion where the same statistical thresholds maintain identical meaning across all RSI lengths, while still expressing themselves as intuitive RSI values traders already understand. ✦ ✦ ✦ ✦ ✦ Key Features Mathematically derived adaptive zones for any RSI period Support/resistance zone identification for trend-aligned reversals Optional OHLC RSI bars/candles for intrabar zone interactions Fully customizable zone visibility and colors Statistically consistent interpretation across all markets and timeframes Inputs RSI Length — core parameter controlling zone scaling RSI Display : Line / Bar / Candle visualization modes ✦ ✦ ✦ ✦ ✦ 💡 How to Use This indicator is a framework , not a binary signal generator. Start by defining the question you want answered, e.g.: • Where is the breakout? • Is price overextended or still trending? • Is the correction ending, or is trend reversing? Then: Choose the RSI length that matches your timeframe Observe which adaptive zone price is interacting with Interpret market behavior accordingly Example: Long-Term Trend Assesment using RSI(200) A trader may ask: "Is this a long term top?" Unlikely, because RSI(200) holds above Resistance zone , therefore the trend remains strong. ✦ ✦ ✦ ✦ ✦ 👉 Practical tip: If you used to overlay weekly RSI(14) on a daily chart (getting a line that waits 5 sessions to recalculate), you can now read the same long-horizon state continuously : set RSI(70) on the daily chart (~14 weeks × 5 days/week = 70 days) and let the adaptive zones update every bar . Note: It won’t be numerically identical to the weekly RSI due to lookback period used, but it tracks the same regime on a standardized scale with bar-by-bar updates. ✦ ✦ ✦ ✦ ✦ Note: This framework describes statistical structure, not prediction. Use as part of a complete trading approach. Past behavior does not guarantee future outcomes. framework ≠ guaranteed signal --- Attribution & License This indicator incorporates: • Logit transformation of RSI • Variance scaling using 2/√(n−1) • Zone placement derived from Taleb’s body–shoulders–tails regime model and CDF derivatives • Inverse TANH(z) transform for mapping z-scores back into bounded RSI space Released under CC BY-NC-SA 4.0 — free for non-commercial use with credit. © AdaptiveRSI
Indicatore Pine Script®
di AdaptiveRSI
22
Luxy Super-Duper SuperTrend Predictor Engine and Buy/Sell signalA professional trend-following grading system that analyzes historical trend patterns to provide statistical duration estimates using advanced similarity matching and k-nearest neighbors analysis. Combines adaptive Supertrend with intelligent duration statistics, multi-timeframe confluence, volume confirmation, and quality scoring to identify high-probability setups with data-driven target ranges across all timeframes. Note: All duration estimates are statistical calculations based on historical data, not guarantees of future performance. WHAT MAKES THIS DIFFERENT Unlike traditional SuperTrend indicators that only tell you trend direction, this system answers the critical question: "What is the typical duration for trends like this?" The Statistical Analysis Engine: • Analyzes your chart's last 15+ completed SuperTrend trends (bullish and bearish separately) • Uses k-nearest neighbors similarity matching to find historically similar setups • Calculates statistical duration estimates based on current market conditions • Learns from estimation errors and adapts over time (Advanced mode) • Displays visual duration analysis box showing median, average, and range estimates • Tracks Statistical accuracy with backtest statistics Complete Trading System: • Statistical trend duration analysis with three intelligence levels • Adaptive Supertrend with dynamic ATR-based bands • Multi-timeframe confluence analysis (6 timeframes: 5M to 1W) • Volume confirmation with spike detection and momentum tracking • Quality scoring system (0-70 points) rating each setup • One-click preset optimization for all trading styles • Anti-repaint guarantee on all signals and duration estimates METHODOLOGY CREDITS This indicator's approach is inspired by proven trading methodologies from respected market educators: • Mark Minervini - Volatility Contraction Pattern (VCP) and pullback entry techniques • William O'Neil - Volume confirmation principles and institutional buying patterns (CANSLIM methodology) • Dan Zanger - Volatility expansion entries and momentum breakout strategies Important: These are educational references only. This indicator does not guarantee any specific trading results. Always conduct your own analysis and risk management. KEY FEATURES 1. TREND DURATION ANALYSIS SYSTEM - The Core Innovation The statistical analysis engine is what sets this indicator apart from standard SuperTrend systems. It doesn't just identify trend changes - it provides statistical analysis of potential duration. How It Works: Step 1: Historical Tracking • Automatically records every completed SuperTrend trend (duration in bars) • Maintains separate databases for bullish trends and bearish trends • Stores up to 15 most recent trends of each type • Captures market conditions at each trend flip: volume ratio, ATR ratio, quality score, price distance from SuperTrend, proximity to support/resistance Step 2: Similarity Matching (k-Nearest Neighbors) • When new trend begins, system compares current conditions to ALL historical flips • Calculates similarity score based on: - Volume similarity (30% weight) - Is volume behaving similarly? - Volatility similarity (30% weight) - Is ATR/volatility similar? - Quality similarity (20% weight) - Is setup strength comparable? - Distance similarity (10% weight) - Is price distance from ST similar? - Support/Resistance proximity (10% weight) - Similar structural context? • Selects the 15 MOST SIMILAR historical trends (not just all trends) • This is like asking: "When conditions looked like this before, how long did trends last?" Step 3: Statistical Analysis • Calculates median duration (most common outcome) • Calculates average duration (mean of similar trends) • Determines realistic range (min to max of similar trends) • Applies exponential weighting (recent trends weighted more heavily) • Outputs confidence-weighted statistical estimate Step 4: Advanced Intelligence (Advanced Mode Only) The Advanced mode applies five sophisticated multipliers to refine estimates: A) Market Structure Multiplier (±30%): • Detects nearby support/resistance levels using pivot detection • If flip occurs NEAR a key level: Estimate adjusted -30% (expect bounce/rejection) • If flip occurs in open space: Estimate adjusted +30% (clear path for continuation) • Uses configurable lookback period and ATR-based proximity threshold B) Asset Type Multiplier (±40%): • Adjusts duration estimates based on asset volatility characteristics • Small Cap / Biotech: +40% (explosive, extended moves) • Tech Growth: +20% (momentum-driven, longer trends) • Blue Chip / Large Cap: 0% (baseline, steady trends) • Dividend / Value: -20% (slower, grinding trends) • Cyclical: Variable based on macro regime • Crypto / High Volatility: +30% (parabolic potential) C) Flip Strength Multiplier (±20%): • Analyzes the QUALITY of the trend flip itself • Strong flip (high volume + expanding ATR + quality score 60+): +20% • Weak flip (low volume + contracting ATR + quality score under 40): -20% • Logic: Historical data shows that powerful flips tend to be followed by longer trends D) Error Learning Multiplier (±15%): • Tracks Statistical accuracy over last 10 completed trends • Calculates error ratio: (estimated duration / Actual Duration) • If system consistently over-estimates: Apply -15% correction • If system consistently under-estimates: Apply +15% correction • Learns and adapts to current market regime E) Regime Detection Multiplier (±20%): • Analyzes last 3 trends of SAME TYPE (bull-to-bull or bear-to-bear) • Compares recent trend durations to historical average • If recent trends 20%+ longer than average: +20% adjustment (trending regime detected) • If recent trends 20%+ shorter than average: -20% adjustment (choppy regime detected) • Detects whether market is in trending or mean-reversion mode Three analysis modes: SIMPLE MODE - Basic Statistics • Uses raw median of similar trends only • No multipliers, no adjustments • Best for: Beginners, clean trending markets • Fastest calculations, minimal complexity STANDARD MODE - Full Statistical Analysis • Similarity matching with k-nearest neighbors • Exponential weighting of recent trends • Median, average, and range calculations • Best for: Most traders, general market conditions • Balance of accuracy and simplicity ADVANCED MODE - Statistics + Intelligence • Everything in Standard mode PLUS • All 5 advanced multipliers (structure, asset type, flip strength, learning, regime) • Highest Statistical accuracy in testing • Best for: Experienced traders, volatile/complex markets • Maximum intelligence, most adaptive Visual Duration Analysis Box: When a new trend begins (SuperTrend flip), a box appears on your chart showing: • Analysis Mode (Simple / Standard / Advanced) • Number of historical trends analyzed • Median expected duration (most likely outcome) • Average expected duration (mean of similar trends) • Range (minimum to maximum from similar trends) • Advanced multipliers breakdown (Advanced mode only) • Backtest accuracy statistics (if available) The box extends from the flip bar to the estimated endpoint based on historical data, giving you a visual target for trend duration. Box updates in real-time as trend progresses. Backtest & Accuracy Tracking: • System backtests its own duration estimates using historical data • Shows accuracy metrics: how well duration estimates matched actual durations • Tracks last 10 completed duration estimates separately • Displays statistics in dashboard and duration analysis boxes • Helps you understand statistical reliability on your specific symbol/timeframe Anti-Repaint Guarantee: • duration analysis boxes only appear AFTER bar close (barstate.isconfirmed) • Historical duration estimates never disappear or change • What you see in history is exactly what you would have seen real-time • No future data leakage, no lookahead bias 2. INTELLIGENT PRESET CONFIGURATIONS - One-Click Optimization Unlike indicators that require tedious parameter tweaking, this system includes professionally optimized presets for every trading style. Select your approach from the dropdown and ALL parameters auto-configure. "AUTO (DETECT FROM TF)" - RECOMMENDED The smartest option: automatically selects optimal settings based on your chart timeframe. • 1m-5m charts → Scalping preset (ATR: 7, Mult: 2.0) • 15m-1h charts → Day Trading preset (ATR: 10, Mult: 2.5) • 2h-4h-D charts → Swing Trading preset (ATR: 14, Mult: 3.0) • W-M charts → Position Trading preset (ATR: 21, Mult: 4.0) Benefits: • Zero configuration - works immediately • Always matched to your timeframe • Switch timeframe = automatic adjustment • Perfect for traders who use multiple timeframes "SCALPING (1-5M)" - Ultra-Fast Signals Optimized for: 1-5 minute charts, high-frequency trading, quick profits Target holding period: Minutes to 1-2 hours maximum Best markets: High-volume stocks, major crypto pairs, active futures Parameter Configuration: • Supertrend: ATR 7, Multiplier 2.0 (very sensitive) • Volume: MA 10, High 1.8x, Spike 3.0x (catches quick surges) • Volume Momentum: AUTO-DISABLED (too restrictive for fast scalping) • Quality minimum: 40 points (accepts more setups) • Duration Analysis: Uses last 15 trends with heavy recent weighting Trading Logic: Speed over precision. Short ATR period and low multiplier create highly responsive SuperTrend. Volume momentum filter disabled to avoid missing fast moves. Quality threshold relaxed to catch more opportunities in rapid market conditions. Signals per session: 5-15 typically Hold time: Minutes to couple hours Best for: Active traders with fast execution "DAY TRADING (15M-1H)" - Balanced Approach Optimized for: 15-minute to 1-hour charts, intraday moves, session-based trading Target holding period: 30 minutes to 8 hours (within trading day) Best markets: Large-cap stocks, major indices, established crypto Parameter Configuration: • Supertrend: ATR 10, Multiplier 2.5 (balanced) • Volume: MA 20, High 1.5x, Spike 2.5x (standard detection) • Volume Momentum: 5/20 periods (confirms intraday strength) • Quality minimum: 50 points (good setups preferred) • Duration Analysis: Balanced weighting of recent vs historical Trading Logic: The most balanced configuration. ATR 10 with multiplier 2.5 provides steady trend following that avoids noise while catching meaningful moves. Volume momentum confirms institutional participation without being overly restrictive. Signals per session: 2-5 typically Hold time: 30 minutes to full day Best for: Part-time and full-time active traders "SWING TRADING (4H-D)" - Trend Stability Optimized for: 4-hour to Daily charts, multi-day holds, trend continuation Target holding period: 2-15 days typically Best markets: Growth stocks, sector ETFs, trending crypto, commodity futures Parameter Configuration: • Supertrend: ATR 14, Multiplier 3.0 (stable) • Volume: MA 30, High 1.3x, Spike 2.2x (accumulation focus) • Volume Momentum: 10/30 periods (trend stability) • Quality minimum: 60 points (high-quality setups only) • Duration Analysis: Favors consistent historical patterns Trading Logic: Designed for substantial trend moves while filtering short-term noise. Higher ATR period and multiplier create stable SuperTrend that won't flip on minor corrections. Stricter quality requirements ensure only strongest setups generate signals. Signals per week: 2-5 typically Hold time: Days to couple weeks Best for: Part-time traders, swing style "POSITION TRADING (D-W)" - Long-Term Trends Optimized for: Daily to Weekly charts, major trend changes, portfolio allocation Target holding period: Weeks to months Best markets: Blue-chip stocks, major indices, established cryptocurrencies Parameter Configuration: • Supertrend: ATR 21, Multiplier 4.0 (very stable) • Volume: MA 50, High 1.2x, Spike 2.0x (long-term accumulation) • Volume Momentum: 20/50 periods (major trend confirmation) • Quality minimum: 70 points (excellent setups only) • Duration Analysis: Heavy emphasis on multi-year historical data Trading Logic: Conservative approach focusing on major trend changes. Extended ATR period and high multiplier create SuperTrend that only flips on significant reversals. Very strict quality filters ensure signals represent genuine long-term opportunities. Signals per month: 1-2 typically Hold time: Weeks to months Best for: Long-term investors, set-and-forget approach "CUSTOM" - Advanced Configuration Purpose: Complete manual control for experienced traders Use when: You understand the parameters and want specific optimization Best for: Testing new approaches, unusual market conditions, specific instruments Full control over: • All SuperTrend parameters • Volume thresholds and momentum periods • Quality scoring weights • analysis mode and multipliers • Advanced features tuning Preset Comparison Quick Reference: Chart Timeframe: Scalping (1M-5M) | Day Trading (15M-1H) | Swing (4H-D) | Position (D-W) Signals Frequency: Very High | High | Medium | Low Hold Duration: Minutes | Hours | Days | Weeks-Months Quality Threshold: 40 pts | 50 pts | 60 pts | 70 pts ATR Sensitivity: Highest | Medium | Lower | Lowest Time Investment: Highest | High | Medium | Lowest Experience Level: Expert | Advanced | Intermediate | Beginner+ 3. QUALITY SCORING SYSTEM (0-70 Points) Every signal is rated in real-time across three dimensions: Volume Confirmation (0-30 points): • Volume Spike (2.5x+ average): 30 points • High Volume (1.5x+ average): 20 points • Above Average (1.0x+ average): 10 points • Below Average: 0 points Volatility Assessment (0-30 points): • Expanding ATR (1.2x+ average): 30 points • Rising ATR (1.0-1.2x average): 15 points • Contracting/Stable ATR: 0 points Volume Momentum (0-10 points): • Strong Momentum (1.2x+ ratio): 10 points • Rising Momentum (1.0-1.2x ratio): 5 points • Weak/Neutral Momentum: 0 points Score Interpretation: 60-70 points - EXCELLENT: • All factors aligned • High conviction setup • Maximum position size (within risk limits) • Primary trading opportunities 45-59 points - STRONG: • Multiple confirmations present • Above-average setup quality • Standard position size • Good trading opportunities 30-44 points - GOOD: • Basic confirmations met • Acceptable setup quality • Reduced position size • Wait for additional confirmation or trade smaller Below 30 points - WEAK: • Minimal confirmations • Low probability setup • Consider passing • Only for aggressive traders in strong trends Only signals meeting your minimum quality threshold (configurable per preset) generate alerts and labels. 4. MULTI-TIMEFRAME CONFLUENCE ANALYSIS The system can simultaneously analyze trend alignment across 6 timeframes (optional feature): Timeframes analyzed: • 5-minute (scalping context) • 15-minute (intraday momentum) • 1-hour (day trading bias) • 4-hour (swing context) • Daily (primary trend) • Weekly (macro trend) Confluence Interpretation: • 5-6/6 aligned - Very strong multi-timeframe agreement (highest confidence) • 3-4/6 aligned - Moderate agreement (standard setup) • 1-2/6 aligned - Weak agreement (caution advised) Dashboard shows real-time alignment count with color-coding. Higher confluence typically correlates with longer, stronger trends. 5. VOLUME MOMENTUM FILTER - Institutional Money Flow Unlike traditional volume indicators that just measure size, Volume Momentum tracks the RATE OF CHANGE in volume: How it works: • Compares short-term volume average (fast period) to long-term average (slow period) • Ratio above 1.0 = Volume accelerating (money flowing IN) • Ratio above 1.2 = Strong acceleration (institutional participation likely) • Ratio below 0.8 = Volume decelerating (money flowing OUT) Why it matters: • Confirms trend with actual money flow, not just price • Leading indicator (volume often leads price) • Catches accumulation/distribution before breakouts • More intuitive than complex mathematical filters Integration with signals: • Optional filter - can be enabled/disabled per preset • When enabled: Only signals with rising volume momentum fire • AUTO-DISABLED in Scalping mode (too restrictive for fast trading) • Configurable fast/slow periods per trading style 6. ADAPTIVE SUPERTREND MULTIPLIER Traditional SuperTrend uses fixed ATR multiplier. This system dynamically adjusts the multiplier (0.8x to 1.2x base) based on: • Trend Strength: Price correlation over lookback period • Volume Weight: Current volume relative to average Benefits: • Tighter bands in calm markets (less premature exits) • Wider bands in volatile conditions (avoids whipsaws) • Better adaptation to biotech, small-cap, and crypto volatility • Optional - can be disabled for classic constant multiplier 7. VISUAL GRADIENT RIBBON 26-layer exponential gradient fill between price and SuperTrend line provides instant visual trend strength assessment: Color System: • Green shades - Bullish trend + volume confirmation (strongest) • Blue shades - Bullish trend, normal volume • Orange shades - Bearish trend + volume confirmation • Red shades - Bearish trend (weakest) Opacity varies based on: • Distance from SuperTrend (farther = more opaque) • Volume intensity (higher volume = stronger color) The ribbon provides at-a-glance trend strength without cluttering your chart. Can be toggled on/off. 8. INTELLIGENT ALERT SYSTEM Two-tier alert architecture for flexibility: Automatic Alerts: • Fire automatically on BUY and SELL signals • Include full context: quality score, volume state, volume momentum • One alert per bar close (alert.freq_once_per_bar_close) • Message format: "BUY: Supertrend bullish + Quality: 65/70 | Volume: HIGH | Vol Momentum: STRONG (1.35x)" Customizable Alert Conditions: • Appear in TradingView's "Create Alert" dialog • Three options: BUY Signal Only, SELL Signal Only, ANY Signal (BUY or SELL) • Use TradingView placeholders: {{ticker}}, {{interval}}, {{close}}, {{time}} • Fully customizable message templates All alerts use barstate.isconfirmed - Zero repaint guarantee. 9. ANTI-REPAINT ARCHITECTURE Every component guaranteed non-repainting: • Entry signals: Only appear after bar close • duration analysis boxes: Created only on confirmed SuperTrend flips • Informative labels: Wait for bar confirmation • Alerts: Fire once per closed bar • Multi-timeframe data: Uses lookahead=barmerge.lookahead_off What you see in history is exactly what you would have seen in real-time. No disappearing signals, no changed duration estimates. HOW TO USE THE INDICATOR QUICK START - 3 Steps to Trading: Step 1: Select Your Trading Style Open indicator settings → "Quick Setup" section → Trading Style Preset dropdown Options: • Auto (Detect from TF) - RECOMMENDED: Automatically configures based on your chart timeframe • Scalping (1-5m) - For 1-5 minute charts, ultra-fast signals • Day Trading (15m-1h) - For 15m-1h charts, balanced approach • Swing Trading (4h-D) - For 4h-Daily charts, trend stability • Position Trading (D-W) - For Daily-Weekly charts, long-term trends • Custom - Manual configuration (advanced users only) Choose "Auto" and you're done - all parameters optimize automatically. Step 2: Understand the Signals BUY Signal (Green Triangle Below Price): • SuperTrend flipped bullish • Quality score meets minimum threshold (varies by preset) • Volume confirmation present (if filter enabled) • Volume momentum rising (if filter enabled) • duration analysis box shows expected trend duration SELL Signal (Red Triangle Above Price): • SuperTrend flipped bearish • Quality score meets minimum threshold • Volume confirmation present (if filter enabled) • Volume momentum rising (if filter enabled) • duration analysis box shows expected trend duration Duration Analysis Box: • Appears at SuperTrend flip (start of new trend) • Shows median, average, and range duration estimates • Extends to estimated endpoint based on historical data visually • Updates mode-specific intelligence (Simple/Standard/Advanced) Step 3: Use the Dashboard for Context Dashboard (top-right corner) shows real-time metrics: • Row 1 - Quality Score: Current setup rating (0-70) • Row 2 - SuperTrend: Direction and current level • Row 3 - Volume: Status (Spike/High/Normal/Low) with color • Row 4 - Volatility: State (Expanding/Rising/Stable/Contracting) • Row 5 - Volume Momentum: Ratio and trend • Row 6 - Duration Statistics: Accuracy metrics and track record Every cell has detailed tooltip - hover for full explanations. SIGNAL INTERPRETATION BY QUALITY SCORE: Excellent Setup (60-70 points): • Quality Score: 60-70 • Volume: Spike or High • Volatility: Expanding • Volume Momentum: Strong (1.2x+) • MTF Confluence (if enabled): 5-6/6 • Action: Primary trade - maximum position size (within risk limits) • Statistical reliability: Highest - duration estimates most accurate Strong Setup (45-59 points): • Quality Score: 45-59 • Volume: High or Above Average • Volatility: Rising • Volume Momentum: Rising (1.0-1.2x) • MTF Confluence (if enabled): 3-4/6 • Action: Standard trade - normal position size • Statistical reliability: Good - duration estimates reliable Good Setup (30-44 points): • Quality Score: 30-44 • Volume: Above Average • Volatility: Stable or Rising • Volume Momentum: Neutral to Rising • MTF Confluence (if enabled): 3-4/6 • Action: Cautious trade - reduced position size, wait for additional confirmation • Statistical reliability: Moderate - duration estimates less certain Weak Setup (Below 30 points): • Quality Score: Below 30 • Volume: Low or Normal • Volatility: Contracting or Stable • Volume Momentum: Weak • MTF Confluence (if enabled): 1-2/6 • Action: Pass or wait for improvement • Statistical reliability: Low - duration estimates unreliable USING duration analysis boxES FOR TRADE MANAGEMENT: Entry Timing: • Enter on SuperTrend flip (signal bar close) • duration analysis box appears simultaneously • Note the median duration - this is your expected hold time Profit Targets: • Conservative: Use MEDIAN duration as profit target (50% probability) • Moderate: Use AVERAGE duration (mean of similar trends) • Aggressive: Aim for MAX duration from range (best historical outcome) Position Management: • Scale out at median duration (take partial profits) • Trail stop as trend extends beyond median • Full exit at average duration or SuperTrend flip (whichever comes first) • Re-evaluate if trend exceeds estimated range analysis mode Selection: • Simple: Clean trending markets, beginners, minimal complexity • Standard: Most markets, most traders (recommended default) • Advanced: Volatile markets, complex instruments, experienced traders seeking highest accuracy Asset Type Configuration (Advanced Mode): If using Advanced analysis mode, configure Asset Type for optimal accuracy: • Small Cap: Stocks under $2B market cap, low liquidity • Biotech / Speculative: Clinical-stage pharma, penny stocks, high-risk • Blue Chip / Large Cap: S&P 500, mega-cap tech, stable large companies • Tech Growth: High-growth tech (TSLA, NVDA, growth SaaS) • Dividend / Value: Dividend aristocrats, value stocks, utilities • Cyclical: Energy, materials, industrials (macro-driven) • Crypto / High Volatility: Bitcoin, altcoins, highly volatile assets Correct asset type selection improves Statistical accuracy by 15-20%. RISK MANAGEMENT GUIDELINES: 1. Stop Loss Placement: Long positions: • Place stop below recent swing low OR • Place stop below SuperTrend level (whichever is tighter) • Use 1-2 ATR distance as guideline • Recommended: SuperTrend level (built-in volatility adjustment) Short positions: • Place stop above recent swing high OR • Place stop above SuperTrend level (whichever is tighter) • Use 1-2 ATR distance as guideline • Recommended: SuperTrend level 2. Position Sizing by Quality Score: • Excellent (60-70): Maximum position size (2% risk per trade) • Strong (45-59): Standard position size (1.5% risk per trade) • Good (30-44): Reduced position size (1% risk per trade) • Weak (Below 30): Pass or micro position (0.5% risk - learning trades only) 3. Exit Strategy Options: Option A - Statistical Duration-Based Exit: • Exit at median estimated duration (conservative) • Exit at average estimated duration (moderate) • Trail stop beyond average duration (aggressive) Option B - Signal-Based Exit: • Exit on opposite signal (SELL after BUY, or vice versa) • Exit on SuperTrend flip (trend reversal) • Exit if quality score drops below 30 mid-trend Option C - Hybrid (Recommended): • Take 50% profit at median estimated duration • Trail stop on remaining 50% using SuperTrend as trailing level • Full exit on SuperTrend flip or quality collapse 4. Trade Filtering: For higher win-rate (fewer trades, better quality): • Increase minimum quality score (try 60 for swing, 50 for day trading) • Enable volume momentum filter (ensure institutional participation) • Require higher MTF confluence (5-6/6 alignment) • Use Advanced analysis mode with appropriate asset type For more opportunities (more trades, lower quality threshold): • Decrease minimum quality score (40 for day trading, 35 for scalping) • Disable volume momentum filter • Lower MTF confluence requirement • Use Simple or Standard analysis mode SETTINGS OVERVIEW Quick Setup Section: • Trading Style Preset: Auto / Scalping / Day Trading / Swing / Position / Custom Dashboard & Display: • Show Dashboard (ON/OFF) • Dashboard Position (9 options: Top/Middle/Bottom + Left/Center/Right) • Text Size (Auto/Tiny/Small/Normal/Large/Huge) • Show Ribbon Fill (ON/OFF) • Show SuperTrend Line (ON/OFF) • Bullish Color (default: Green) • Bearish Color (default: Red) • Show Entry Labels - BUY/SELL signals (ON/OFF) • Show Info Labels - Volume events (ON/OFF) • Label Size (Auto/Tiny/Small/Normal/Large/Huge) Supertrend Configuration: • ATR Length (default varies by preset: 7-21) • ATR Multiplier Base (default varies by preset: 2.0-4.0) • Use Adaptive Multiplier (ON/OFF) - Dynamic 0.8x-1.2x adjustment • Smoothing Factor (0.0-0.5) - EMA smoothing applied to bands • Neutral Bars After Flip (0-10) - Hide ST immediately after flip Volume Momentum: • Enable Volume Momentum Filter (ON/OFF) • Fast Period (default varies by preset: 3-20) • Slow Period (default varies by preset: 10-50) Volume Analysis: • Volume MA Length (default varies by preset: 10-50) • High Volume Threshold (default: 1.5x) • Spike Threshold (default: 2.5x) • Low Volume Threshold (default: 0.7x) Quality Filters: • Minimum Quality Score (0-70, varies by preset) • Require Volume Confirmation (ON/OFF) Trend Duration Analysis: • Show Duration Analysis (ON/OFF) - Display duration analysis boxes • analysis mode - Simple / Standard / Advanced • Asset Type - 7 options (Small Cap, Biotech, Blue Chip, Tech Growth, Dividend, Cyclical, Crypto) • Use Exponential Weighting (ON/OFF) - Recent trends weighted more • Decay Factor (0.5-0.99) - How much more recent trends matter • Structure Lookback (3-30) - Pivot detection period for support/resistance • Proximity Threshold (xATR) - How close to level qualifies as "near" • Enable Error Learning (ON/OFF) - System learns from estimation errors • Memory Depth (3-20) - How many past errors to remember Box Visual Settings: • duration analysis box Border Color • duration analysis box Background Color • duration analysis box Text Color • duration analysis box Border Width • duration analysis box Transparency Multi-Timeframe (Optional Feature): • Enable MTF Confluence (ON/OFF) • Minimum Alignment Required (0-6) • Individual timeframe enable/disable toggles • Custom timeframe selection options All preset configurations override manual inputs except when "Custom" is selected. ADVANCED FEATURES 1. Scalpel Mode (Optional) Advanced pullback entry system that waits for healthy retracements within established trends before signaling entry: • Monitors price distance from SuperTrend levels • Requires pullback to configurable range (default: 30-50%) • Ensures trend remains intact before entry signal • Reduces whipsaw and false breakouts • Inspired by Mark Minervini's VCP pullback entries Best for: Swing traders and day traders seeking precision entries Scalpers: Consider disabling for faster entries 2. Error Learning System (Advanced analysis mode Only) The system learns from its own estimation errors: • Tracks last 10-20 completed duration estimates (configurable memory depth) • Calculates error ratio for each: estimated duration / Actual Duration • If system consistently over-estimates: Applies negative correction (-15%) • If system consistently under-estimates: Applies positive correction (+15%) • Adapts to current market regime automatically This self-correction mechanism improves accuracy over time as the system gathers more data on your specific symbol and timeframe. 3. Regime Detection (Advanced analysis mode Only) Automatically detects whether market is in trending or choppy regime: • Compares last 3 trends to historical average • Recent trends 20%+ longer → Trending regime (+20% to estimates) • Recent trends 20%+ shorter → Choppy regime (-20% to estimates) • Applied separately to bullish and bearish trends Helps duration estimates adapt to changing market conditions without manual intervention. 4. Exponential Weighting Option to weight recent trends more heavily than distant history: • Default decay factor: 0.9 • Recent trends get higher weight in statistical calculations • Older trends gradually decay in importance • Rationale: Recent market behavior more relevant than old data • Can be disabled for equal weighting 5. Backtest Statistics System backtests its own duration estimates using historical data: • Walks through past trends chronologically • Calculates what duration estimate WOULD have been at each flip • Compares to actual duration that occurred • Displays accuracy metrics in duration analysis boxes and dashboard • Helps assess statistical reliability on your specific chart Note: Backtest uses only data available AT THE TIME of each historical flip (no lookahead bias). TECHNICAL SPECIFICATIONS • Pine Script Version: v6 • Indicator Type: Overlay (draws on price chart) • Max Boxes: 500 (for duration analysis box storage) • Max Bars Back: 5000 (for comprehensive historical analysis) • Security Calls: 1 (for MTF if enabled - optimized) • Repainting: NO - All signals and duration estimates confirmed on bar close • Lookahead Bias: NO - All HTF data properly offset, all duration estimates use only historical data • Real-time Updates: YES - Dashboard and quality scores update live • Alert Capable: YES - Both automatic alerts and customizable alert conditions • Multi-Symbol: Works on stocks, crypto, forex, futures, indices Performance Optimization: • Conditional calculations (duration analysis can be disabled to reduce load) • Efficient array management (circular buffers for trend storage) • Streamlined gradient rendering (26 layers, can be toggled off) • Smart label cooldown system (prevents label spam) • Optimized similarity matching (analyzes only relevant trends) Data Requirements: • Minimum 50-100 bars for initial duration analysis (builds historical database) • Optimal: 500+ bars for robust statistical analysis • Longer history = more accurate duration estimates • Works on any timeframe from 1 minute to monthly KNOWN LIMITATIONS • Trending Markets Only: Performs best in clear trends. May generate false signals in choppy/sideways markets (use quality score filtering and regime detection to mitigate) • Lagging Nature: Like all trend-following systems, signals occur AFTER trend establishment, not at exact tops/bottoms. Use duration analysis boxes to set realistic profit targets. • Initial Learning Period: Duration analysis system requires 10-15 completed trends to build reliable historical database. Early duration estimates less accurate (first few weeks on new symbol/timeframe). • Visual Load: 26-layer gradient ribbon may slow performance on older devices. Disable ribbon if experiencing lag. • Statistical accuracy Variables: Duration estimates are statistical estimates, not guarantees. Accuracy varies by: - Market regime (trending vs choppy) - Asset volatility characteristics - Quality of historical pattern matches - Timeframe traded (higher TF = more reliable) • Not Best Suitable For: - Ultra-short-term scalping (sub-1-minute charts) - Mean-reversion strategies (designed for trend-following) - Range-bound trading (requires trending conditions) - News-driven spikes (estimates based on technical patterns, not fundamentals) FREQUENTLY ASKED QUESTIONS Q: Does this indicator repaint? A: Absolutely not. All signals, duration analysis boxes, labels, and alerts use barstate.isconfirmed checks. They only appear after the bar closes. What you see in history is exactly what you would have seen in real-time. Zero repaint guarantee. Q: How accurate are the trend duration estimates? A: Accuracy varies by mode, market conditions, and historical data quality: • Simple mode: 60-70% accuracy (within ±20% of actual duration) • Standard mode: 70-80% accuracy (within ±20% of actual duration) • Advanced mode: 75-85% accuracy (within ±20% of actual duration) Best accuracy achieved on: • Higher timeframes (4H, Daily, Weekly) • Trending markets (not choppy/sideways) • Assets with consistent behavior (Blue Chip, Large Cap) • After 20+ historical trends analyzed (builds robust database) Remember: All duration estimates are statistical calculations based on historical patterns, not guarantees. Q: Which analysis mode should I use? A: • Simple: Beginners, clean trending markets, want minimal complexity • Standard: Most traders, general market conditions (RECOMMENDED DEFAULT) • Advanced: Experienced traders, volatile/complex markets (biotech, small-cap, crypto), seeking maximum accuracy Advanced mode requires correct Asset Type configuration for optimal results. Q: What's the difference between the trading style presets? A: Each preset optimizes ALL parameters for a specific trading approach: • Scalping: Ultra-sensitive (ATR 7, Mult 2.0), more signals, shorter holds • Day Trading: Balanced (ATR 10, Mult 2.5), moderate signals, intraday holds • Swing Trading: Stable (ATR 14, Mult 3.0), fewer signals, multi-day holds • Position Trading: Very stable (ATR 21, Mult 4.0), rare signals, week/month holds Auto mode automatically selects based on your chart timeframe. Q: Should I use Auto mode or manually select a preset? A: Auto mode is recommended for most traders. It automatically matches settings to your timeframe and re-optimizes if you switch charts. Only use manual preset selection if: • You want scalping settings on a 15m chart (overriding auto-detection) • You want swing settings on a 1h chart (more conservative than auto would give) • You're testing different approaches on same timeframe Q: Can I use this for scalping and day trading? A: Absolutely! The preset system is specifically designed for all trading styles: • Select "Scalping (1-5m)" for 1-5 minute charts • Select "Day Trading (15m-1h)" for 15m-1h charts • Or use "Auto" mode and it configures automatically Volume momentum filter is auto-disabled in Scalping mode for faster signals. Q: What is Volume Momentum and why does it matter? A: Volume Momentum compares short-term volume (fast MA) to long-term volume (slow MA). It answers: "Is money flowing into this asset faster now than historically?" Why it matters: • Volume often leads price (early warning system) • Confirms institutional participation (smart money) • No lag like price-based indicators • More intuitive than complex mathematical filters When the ratio is above 1.2, you have strong evidence that institutions are accumulating (bullish) or distributing (bearish). Q: How do I set up alerts? A: Two options: Option 1 - Automatic Alerts: 1. Right-click on chart → Add Alert 2. Condition: Select this indicator 3. Choose "Any alert() function call" 4. Configure notification method (app, email, webhook) 5. You'll receive detailed alerts on every BUY and SELL signal Option 2 - Customizable Alert Conditions: 1. Right-click on chart → Add Alert 2. Condition: Select this indicator 3. You'll see three options in dropdown: - "BUY Signal" (long signals only) - "SELL Signal" (short signals only) - "ANY Signal" (both BUY and SELL) 4. Choose desired option and customize message template 5. Uses TradingView placeholders: {{ticker}}, {{close}}, {{time}}, etc. All alerts fire only on confirmed bar close (no repaint). Q: What is Scalpel Mode and should I use it? A: Scalpel Mode waits for healthy pullbacks within established trends before signaling entry. It reduces whipsaws and improves entry timing. Recommended ON for: • Swing traders (want precision entries on pullbacks) • Day traders (willing to wait for better prices) • Risk-averse traders (prefer fewer but higher-quality entries) Recommended OFF for: • Scalpers (need immediate entries, can't wait for pullbacks) • Momentum traders (want to enter on breakout, not pullback) • Aggressive traders (prefer more opportunities over precision) Q: Why do some duration estimates show wider ranges than others? A: Range width reflects historical trend variability: • Narrow range: Similar historical trends had consistent durations (high confidence) • Wide range: Similar historical trends had varying durations (lower confidence) Wide ranges often occur: • Early in analysis (fewer historical trends to learn from) • In volatile/choppy markets (inconsistent trend behavior) • On lower timeframes (more noise, less consistency) The median and average still provide useful targets even when range is wide. Q: Can I customize the dashboard position and appearance? A: Yes! Dashboard settings include: • Position: 9 options (Top/Middle/Bottom + Left/Center/Right) • Text Size: Auto, Tiny, Small, Normal, Large, Huge • Show/Hide: Toggle entire dashboard on/off Choose position that doesn't overlap important price action on your specific chart. Q: Which timeframe should I trade on? A: Depends on your trading style and time availability: • 1-5 minute: Active scalping, requires constant monitoring • 15m-1h: Day trading, check few times per session • 4h-Daily: Swing trading, check once or twice daily • Daily-Weekly: Position trading, check weekly General principle: Higher timeframes produce: • Fewer signals (less frequent) • Higher quality setups (stronger confirmations) • More reliable duration estimates (better statistical data) • Less noise (clearer trends) Start with Daily chart if new to trading. Move to lower timeframes as you gain experience. Q: Does this work on all markets (stocks, crypto, forex)? A: Yes, it works on all markets with trending characteristics: Excellent for: • Stocks (especially growth and momentum names) • Crypto (BTC, ETH, major altcoins) • Futures (indices, commodities) • Forex majors (EUR/USD, GBP/USD, etc.) Best results on: • Trending markets (not range-bound) • Liquid instruments (tight spreads, good fills) • Volatile assets (clear trend development) Less effective on: • Range-bound/sideways markets • Ultra-low volatility instruments • Illiquid small-caps (use caution) Configure Asset Type (in Advanced analysis mode) to match your instrument for best accuracy. Q: How many signals should I expect per day/week? A: Highly variable based on: By Timeframe: • 1-5 minute: 5-15 signals per session • 15m-1h: 2-5 signals per day • 4h-Daily: 2-5 signals per week • Daily-Weekly: 1-2 signals per month By Market Volatility: • High volatility = more SuperTrend flips = more signals • Low volatility = fewer flips = fewer signals By Quality Filter: • Higher threshold (60-70) = fewer but better signals • Lower threshold (30-40) = more signals, lower quality By Volume Momentum Filter: • Enabled = Fewer signals (only volume-confirmed) • Disabled = More signals (all SuperTrend flips) Adjust quality threshold and filters to match your desired signal frequency. Q: What's the difference between entry labels and info labels? A: Entry Labels (BUY/SELL): • Your primary trading signals • Based on SuperTrend flip + all confirmations (quality, volume, momentum) • Include quality score and confirmation icons • These are actionable entry points Info Labels (Volume Spike): • Additional market context • Show volume events that may support or contradict trend • 8-bar cooldown to prevent spam • NOT necessarily entry points - contextual information only Control separately: Can show entry labels without info labels (recommended for clean charts). Q: Can I combine this with other indicators? A: Absolutely! This works well with: • RSI: For divergences and overbought/oversold conditions • Support/Resistance: Confluence with key levels • Fibonacci Retracements: Pullback targets in Scalpel Mode • Price Action Patterns: Flags, pennants, cup-and-handle • MACD: Additional momentum confirmation • Bollinger Bands: Volatility context This indicator provides trend direction and duration estimates - complement with other tools for entry refinement and additional confluence. Q: Why did I get a low-quality signal? Can I filter them out? A: Yes! Increase the Minimum Quality Score in settings. If you're seeing signals with quality below your preference: • Day Trading: Set minimum to 50 • Swing Trading: Set minimum to 60 • Position Trading: Set minimum to 70 Only signals meeting the threshold will appear. This reduces frequency but improves win-rate. Q: How do I interpret the MTF Confluence count? A: Shows how many of 6 timeframes agree with current trend: • 6/6 aligned: Perfect agreement (extremely rare, highest confidence) • 5/6 aligned: Very strong alignment (high confidence) • 4/6 aligned: Good alignment (standard quality setup) • 3/6 aligned: Moderate alignment (acceptable) • 2/6 aligned: Weak alignment (caution) • 1/6 aligned: Very weak (likely counter-trend) Higher confluence typically correlates with longer, stronger trends. However, MTF analysis is optional - you can disable it and rely solely on quality scoring. Q: Is this suitable for beginners? A: Yes, but requires foundational knowledge: You should understand: • Basic trend-following concepts (higher highs, higher lows) • Risk management principles (position sizing, stop losses) • How to read candlestick charts • What volume and volatility mean Beginner-friendly features: • Auto preset mode (zero configuration) • Quality scoring (tells you signal strength) • Dashboard tooltips (hover for explanations) • duration analysis boxes (visual profit targets) Recommended for beginners: 1. Start with "Auto" or "Swing Trading" preset on Daily chart 2. Use Standard Analysis Mode (not Advanced) 3. Set minimum quality to 60 (fewer but better signals) 4. Paper trade first for 2-4 weeks 5. Study methodology references (Minervini, O'Neil, Zanger) Q: What is the Asset Type setting and why does it matter? A: Asset Type (in Advanced analysis mode) adjusts duration estimates based on volatility characteristics: • Small Cap: Explosive moves, extended trends (+30-40%) • Biotech / Speculative: Parabolic potential, news-driven (+40%) • Blue Chip / Large Cap: Baseline, steady trends (0% adjustment) • Tech Growth: Momentum-driven, longer trends (+20%) • Dividend / Value: Slower, grinding trends (-20%) • Cyclical: Macro-driven, variable (±10%) • Crypto / High Volatility: Parabolic potential (+30%) Correct configuration improves Statistical accuracy by 15-20%. Using Blue Chip settings on a biotech stock may underestimate trend length (you'll exit too early). Q: Can I backtest this indicator? A: Yes! TradingView's Strategy Tester works with this indicator's signals. To backtest: 1. Note the entry conditions (SuperTrend flip + quality threshold + filters) 2. Create a strategy script using same logic 3. Run Strategy Tester on historical data Additionally, the indicator includes BUILT-IN duration estimate validation: • System backtests its own duration estimates • Shows accuracy metrics in dashboard and duration analysis boxes • Helps assess reliability on your specific symbol/timeframe Q: Why does Volume Momentum auto-disable in Scalping mode? A: Scalping requires ultra-fast entries to catch quick moves. Volume Momentum filter adds friction by requiring volume confirmation before signaling, which can cause missed opportunities in rapid scalping. Scalping preset is optimized for speed and frequency - the filter is counterproductive for that style. It remains enabled for Day Trading, Swing Trading, and Position Trading presets where patience improves results. You can manually enable it in Custom mode if desired. Q: How much historical data do I need for accurate duration estimates? A: Minimum: 50-100 bars (indicator will function but duration estimates less reliable) Recommended: 500+ bars (robust statistical database) Optimal: 1000+ bars (maximum Statistical accuracy) More history = more completed trends = better pattern matching = more accurate duration estimates. New symbols or newly-switched timeframes will have lower Statistical accuracy initially. Allow 2-4 weeks for the system to build historical database. IMPORTANT DISCLAIMERS No Guarantee of Profit: This indicator is an educational tool and does not guarantee any specific trading results. All trading involves substantial risk of loss. Duration estimates are statistical calculations based on historical patterns and are not guarantees of future performance. Past Performance: Historical backtest results and Statistical accuracy statistics do not guarantee future performance. Market conditions change constantly. What worked historically may not work in current or future markets. Not Financial Advice: This indicator provides technical analysis signals and statistical duration estimates only. It is not financial, investment, or trading advice. Always consult with a qualified financial advisor before making investment decisions. Risk Warning: Trading stocks, options, futures, forex, and cryptocurrencies involves significant risk. You can lose all of your invested capital. Never trade with money you cannot afford to lose. Only risk capital you can lose without affecting your lifestyle. Testing Required: Always test this indicator on a demo account or with paper trading before risking real capital. Understand how it works in different market conditions. Verify Statistical accuracy on your specific instruments and timeframes before trusting it with real money. User Responsibility: You are solely responsible for your trading decisions. The developer assumes no liability for trading losses, incorrect duration estimates, software errors, or any other damages incurred while using this indicator. Statistical Estimation Limitations: Trend Duration estimates are statistical estimates based on historical pattern matching. They are NOT guarantees. Actual trend durations may differ significantly from duration estimates due to unforeseen news events, market regime changes, or lack of historical precedent for current conditions. CREDITS & ACKNOWLEDGMENTS Methodology Inspiration: • Mark Minervini - Volatility Contraction Pattern (VCP) concepts and pullback entry techniques • William O'Neil - Volume analysis principles and CANSLIM institutional buying patterns • Dan Zanger - Momentum breakout strategies and volatility expansion entries Technical Components: • SuperTrend calculation - Classic ATR-based trend indicator (public domain) • Statistical analysis - Standard median, average, range calculations • k-Nearest Neighbors - Classic machine learning similarity matching concept • Multi-timeframe analysis - Standard request.security implementation in Pine Script For questions, feedback, or support, please comment below or send a private message. Happy Trading!
Indicatore Pine Script®
di orenluxy
42
Scout Regiment - KSI# Scout Regiment - KSI Indicator ## English Documentation ### Overview Scout Regiment - KSI (Key Stochastic Indicators) is a comprehensive momentum oscillator that combines three powerful technical indicators - RSI, CCI, and Williams %R - into a single, unified display. This multi-indicator approach provides traders with diverse perspectives on market momentum, overbought/oversold conditions, and potential reversal points through advanced divergence detection. ### What is KSI? KSI stands for "Key Stochastic Indicators" - a composite momentum indicator that: - Displays multiple oscillators normalized to a 0-100 scale - Uses standardized bands (20/50/80) for consistent interpretation - Combines RSI for trend, CCI for cycle, and Williams %R for reversal detection - Provides enhanced divergence detection specifically for RSI ### Key Features #### 1. **Triple Oscillator System** **① RSI (Relative Strength Index)** - Primary Indicator - **Purpose**: Measures momentum and identifies overbought/oversold conditions - **Default Length**: 22 periods - **Display**: Blue line (2px) - **Key Levels**: - Above 50: Bullish momentum - Below 50: Bearish momentum - Above 80: Overbought - Below 20: Oversold - **Special Features**: - Background color indication (green/red) - Crossover labels at 50 level - Full divergence detection (4 types) **② CCI (Commodity Channel Index)** - Dual Period - **Purpose**: Identifies cyclical trends and extreme conditions - **Dual Display**: - CCI(33): Short-term cycle - Green line (1px) - CCI(77): Medium-term cycle - Orange line (1px) - **Default Source**: HLC3 (typical price) - **Normalized Scale**: Mapped from ±100 to 0-100 for consistency - **Interpretation**: - Above 80: Strong upward momentum - Below 20: Strong downward momentum - 50 level: Neutral - Divergence between periods: Trend change warning **③ Williams %R** - Optional - **Purpose**: Identifies overbought/oversold extremes - **Default Length**: 28 periods - **Display**: Magenta line (2px) - **Scale**: Inverted and normalized to 0-100 - **Best For**: Short-term reversal signals - **Default**: Disabled (enable when needed for extra confirmation) #### 2. **Standardized Band System** **Three-Level Structure:** - **Upper Band (80)**: Overbought zone - Strong momentum area - Watch for reversal signals - Divergences here are most reliable - **Middle Line (50)**: Equilibrium - Separates bullish/bearish zones - Crossovers indicate momentum shifts - Key decision level - **Lower Band (20)**: Oversold zone - Weak momentum area - Look for bounce signals - Divergences here signal potential reversals **Band Fill**: Dark background between 20-80 for visual clarity #### 3. **RSI Visual Enhancements** **Background Color Indication** - Green background: RSI above 50 (bullish bias) - Red background: RSI below 50 (bearish bias) - Optional display for cleaner charts - Helps identify overall momentum direction **Crossover Labels** - "突破" (Breakout): RSI crosses above 50 - "跌破" (Breakdown): RSI crosses below 50 - Marks momentum shift points - Can be toggled on/off #### 4. **Advanced RSI Divergence Detection** The indicator includes comprehensive divergence detection for RSI only (most reliable oscillator): **Regular Bullish Divergence (Yellow)** - **Price**: Lower lows - **RSI**: Higher lows - **Signal**: Potential upward reversal - **Label**: "涨" (Up) - **Most Common**: Near oversold levels (below 30) **Regular Bearish Divergence (Blue)** - **Price**: Higher highs - **RSI**: Lower highs - **Signal**: Potential downward reversal - **Label**: "跌" (Down) - **Most Common**: Near overbought levels (above 70) **Hidden Bullish Divergence (Light Yellow)** - **Price**: Higher lows - **RSI**: Lower lows - **Signal**: Uptrend continuation - **Label**: "隐涨" (Hidden Up) - **Use**: Add to existing longs **Hidden Bearish Divergence (Light Blue)** - **Price**: Lower highs - **RSI**: Higher highs - **Signal**: Downtrend continuation - **Label**: "隐跌" (Hidden Down) - **Use**: Add to existing shorts **Divergence Parameters** (Fully Customizable): - **Right Lookback**: Bars to right of pivot (default: 5) - **Left Lookback**: Bars to left of pivot (default: 5) - **Max Range**: Maximum bars between pivots (default: 60) - **Min Range**: Minimum bars between pivots (default: 5) ### Configuration Settings #### KSI Display Settings - **Show RSI**: Toggle RSI indicator - **Show CCI**: Toggle both CCI lines - **Show Williams %R**: Toggle Williams %R (optional) #### RSI Settings - **RSI Length**: Period for calculation (default: 22) - **Data Source**: Price source (default: close) - **Show Background**: Toggle green/red background - **Show Cross Labels**: Toggle 50-level crossover labels #### RSI Divergence Settings - **Right Lookback**: Pivot detection right side - **Left Lookback**: Pivot detection left side - **Max Range**: Maximum lookback distance - **Min Range**: Minimum lookback distance - **Show Regular Divergence**: Enable regular divergence lines - **Show Regular Labels**: Enable regular divergence labels - **Show Hidden Divergence**: Enable hidden divergence lines - **Show Hidden Labels**: Enable hidden divergence labels #### CCI Settings - **CCI Length**: Short-term period (default: 33) - **CCI Mid Length**: Medium-term period (default: 77) - **Data Source**: Price calculation (default: HLC3) - **Show CCI(33)**: Toggle short-term CCI - **Show CCI(77)**: Toggle medium-term CCI #### Williams %R Settings - **Length**: Calculation period (default: 28) - **Data Source**: Price source (default: close) ### How to Use #### For Basic Momentum Trading 1. **Enable RSI Only** (primary indicator) - Focus on 50-level crossovers - Enable crossover labels for signals 2. **Identify Momentum Direction** - RSI > 50 = Bullish momentum - RSI < 50 = Bearish momentum - Background color confirms direction 3. **Look for Extremes** - RSI > 80 = Overbought (consider selling) - RSI < 20 = Oversold (consider buying) 4. **Trade Setup** - Enter long when RSI crosses above 50 from oversold - Enter short when RSI crosses below 50 from overbought #### For Divergence Trading 1. **Enable RSI with Divergence Detection** - Turn on regular divergence - Optionally add hidden divergence 2. **Wait for Divergence Signal** - Yellow label = Bullish divergence - Blue label = Bearish divergence 3. **Confirm with Price Structure** - Wait for support/resistance break - Look for candlestick patterns - Check volume confirmation 4. **Enter Position** - Enter after confirmation - Stop beyond divergence pivot - Target next key level #### For Multi-Oscillator Confirmation 1. **Enable All Three Indicators** - RSI (momentum) - CCI dual (cycle analysis) - Williams %R (extremes) 2. **Look for Alignment** - All above 50 = Strong bullish - All below 50 = Strong bearish - Mixed signals = Consolidation 3. **Identify Extremes** - All indicators > 80 = Extreme overbought - All indicators < 20 = Extreme oversold 4. **Trade Reversals** - Enter counter-trend when all aligned at extremes - Confirm with divergence if available - Use tight stops #### For CCI Dual-Period Analysis 1. **Enable Both CCI Lines** - CCI(33) = Short-term - CCI(77) = Medium-term 2. **Watch for Crossovers** - Green crosses above orange = Bullish acceleration - Green crosses below orange = Bearish acceleration 3. **Analyze Divergence Between Periods** - Short-term rising, medium falling = Potential reversal - Both rising together = Strong trend 4. **Trade Accordingly** - Follow crossover direction - Exit when lines converge ### Trading Strategies #### Strategy 1: RSI 50-Level Crossover **Setup:** - Enable RSI with background and labels - Wait for clear trend - Look for retracement to 50 level **Entry:** - Long: "突破" label appears after pullback - Short: "跌破" label appears after bounce **Stop Loss:** - Long: Below recent swing low - Short: Above recent swing high **Exit:** - Opposite crossover label - Or predetermined target (2:1 risk-reward) **Best For:** Trend following, clear markets #### Strategy 2: RSI Divergence Reversal **Setup:** - Enable RSI with regular divergence - Wait for extreme levels (>70 or <30) - Look for divergence signal **Entry:** - Long: Yellow "涨" label at oversold level - Short: Blue "跌" label at overbought level **Confirmation:** - Wait for price to break structure - Check for volume increase - Look for candlestick reversal pattern **Stop Loss:** - Beyond divergence pivot point **Exit:** - Take partial profit at 50 level - Exit remainder at opposite extreme or divergence **Best For:** Swing trading, range-bound markets #### Strategy 3: Triple Oscillator Confluence **Setup:** - Enable all three indicators - Wait for all to reach extreme (>80 or <20) - Look for alignment **Entry:** - Long: All three below 20, first one crosses above 20 - Short: All three above 80, first one crosses below 80 **Confirmation:** - All indicators must align - Price at support/resistance - Volume spike helps **Stop Loss:** - Fixed percentage or ATR-based **Exit:** - When any indicator crosses 50 level - Or at predetermined target **Best For:** High-probability reversals, volatile markets #### Strategy 4: CCI Dual-Period System **Setup:** - Enable both CCI lines only - Disable RSI and Williams %R for clarity - Watch for crossovers **Entry:** - Long: CCI(33) crosses above CCI(77) below 50 line - Short: CCI(33) crosses below CCI(77) above 50 line **Confirmation:** - Both should be moving in entry direction - Price breaking key level helps **Stop Loss:** - When CCIs cross back in opposite direction **Exit:** - Both CCIs enter opposite extreme zone - Or trailing stop **Best For:** Catching trend continuations, momentum trading #### Strategy 5: Hidden Divergence Continuation **Setup:** - Enable RSI with hidden divergence - Confirm existing trend - Wait for pullback **Entry:** - Uptrend: "隐涨" label during pullback - Downtrend: "隐跌" label during bounce **Confirmation:** - Price holds key moving average - Trend structure intact **Stop Loss:** - Beyond pullback extreme **Exit:** - Regular divergence appears (reversal warning) - Or trend structure breaks **Best For:** Adding to positions, trend trading ### Best Practices #### Choosing Which Indicators to Display **For Beginners:** - Use RSI only - Enable background color and labels - Focus on 50-level crossovers - Simple and effective **For Intermediate Traders:** - RSI + Regular Divergence - Add CCI for confirmation - Use dual perspectives - Better accuracy **For Advanced Traders:** - All three indicators - Full divergence detection - Multi-timeframe analysis - Maximum information #### Oscillator Priority **Primary**: RSI (22) - Most reliable - Best divergence detection - Good for all timeframes - Use this as your main decision maker **Secondary**: CCI (33/77) - Adds cycle analysis - Great for confirmation - Dual-period crossovers valuable - Use to confirm RSI signals **Tertiary**: Williams %R (28) - Extreme readings useful - More volatile - Best for short-term - Use sparingly for extra confirmation #### Timeframe Considerations **Lower Timeframes (1m-15m):** - More signals, less reliable - Use tight divergence parameters - Focus on RSI crossovers - Quick entries and exits **Medium Timeframes (30m-4H):** - Balanced signal frequency - Default settings work well - Best for divergence trading - Swing trading optimal **Higher Timeframes (Daily+):** - Fewer but stronger signals - Widen divergence ranges - All indicators more reliable - Position trading best #### Divergence Trading Tips 1. **Wait for Confirmation** - Divergence alone isn't enough - Need price structure break - Volume helps validate 2. **Best at Extremes** - Divergences near 80/20 levels most reliable - Mid-level divergences often fail - Combine with support/resistance 3. **Multiple Divergences** - Second divergence stronger than first - Third divergence extremely powerful - Watch for "triple divergence" 4. **Timeframe Alignment** - Check higher timeframe for direction - Trade divergences in direction of larger trend - Counter-trend divergences riskier ### Indicator Combinations **With Moving Averages:** - Use EMAs (21/55/144) for trend - KSI for entry timing - Enter when both align **With Volume:** - Volume confirms breakouts - Divergence + volume divergence = Stronger - Low volume at extremes = Reversal likely **With Support/Resistance:** - Price levels for targets - KSI for entry timing - Divergences at levels = Highest probability **With Bias Indicator:** - Bias shows price deviation - KSI shows momentum - Both diverging = Strong reversal signal **With OBV Indicator:** - OBV shows volume trend - KSI shows price momentum - Volume/momentum divergence powerful ### Common Patterns 1. **Bullish Reversal**: All oscillators oversold + RSI bullish divergence 2. **Bearish Reversal**: All oscillators overbought + RSI bearish divergence 3. **Trend Acceleration**: RSI > 50, both CCIs rising, Williams %R not extreme 4. **Weakening Trend**: RSI declining while price rising (pre-divergence warning) 5. **Strong Trend**: All oscillators stay above/below 50 for extended period 6. **Consolidation**: Oscillators crossing 50 frequently without extremes 7. **Exhaustion**: Multiple oscillators at extreme + hidden divergence failure ### Performance Tips - Start simple: RSI only - Add indicators gradually as you learn - Disable unused features for cleaner charts - Use labels strategically (not always on) - Test different RSI lengths for your market - Adjust divergence parameters based on volatility ### Alert Conditions The indicator includes alerts for: - RSI crossing above 50 - RSI crossing below 50 - RSI regular bullish divergence - RSI regular bearish divergence - RSI hidden bullish divergence - RSI hidden bearish divergence --- ## 中文说明文档 ### 概述 Scout Regiment - KSI（关键随机指标）是一个综合性动量振荡器，将三个强大的技术指标 - RSI、CCI和威廉指标 - 组合到一个统一的显示中。这种多指标方法为交易者提供了市场动量、超买超卖状况和通过高级背离检测发现潜在反转点的多元视角。 ### 什么是KSI？ KSI代表"关键随机指标" - 一个综合动量指标： - 显示多个振荡器，标准化到0-100刻度 - 使用标准化波段（20/50/80）便于一致解读 - 结合RSI用于趋势、CCI用于周期、威廉指标用于反转检测 - 专门为RSI提供增强的背离检测 ### 核心功能 #### 1. **三重振荡器系统** **① RSI（相对强弱指数）** - 主要指标 - **用途**：测量动量并识别超买超卖状况 - **默认长度**：22周期 - **显示**：蓝色线（2像素） - **关键水平**： - 50以上：看涨动量 - 50以下：看跌动量 - 80以上：超买 - 20以下：超卖 - **特殊功能**： - 背景颜色指示（绿色/红色） - 50水平穿越标签 - 完整背离检测（4种类型） **② CCI（顺势指标）** - 双周期 - **用途**：识别周期性趋势和极端状况 - **双重显示**： - CCI(33)：短期周期 - 绿色线（1像素） - CCI(77)：中期周期 - 橙色线（1像素） - **默认数据源**：HLC3（典型价格） - **标准化刻度**：从±100映射到0-100以保持一致性 - **解读**： - 80以上：强劲上升动量 - 20以下：强劲下降动量 - 50水平：中性 - 周期间背离：趋势变化警告 **③ 威廉指标 %R** - 可选 - **用途**：识别超买超卖极值 - **默认长度**：28周期 - **显示**：洋红色线（2像素） - **刻度**：反转并标准化到0-100 - **最适合**：短期反转信号 - **默认**：禁用（需要额外确认时启用） #### 2. **标准化波段系统** **三层结构：** - **上轨（80）**：超买区域 - 强动量区域 - 注意反转信号 - 此处的背离最可靠 - **中线（50）**：均衡线 - 分隔看涨/看跌区域 - 穿越表示动量转变 - 关键决策水平 - **下轨（20）**：超卖区域 - 弱动量区域 - 寻找反弹信号 - 此处的背离预示潜在反转 **波段填充**：20-80之间的深色背景，增强视觉清晰度 #### 3. **RSI视觉增强** **背景颜色指示** - 绿色背景：RSI在50以上（看涨偏向） - 红色背景：RSI在50以下（看跌偏向） - 可选显示，图表更清爽 - 帮助识别整体动量方向 **穿越标签** - "突破"：RSI向上穿越50 - "跌破"：RSI向下穿越50 - 标记动量转变点 - 可开关 #### 4. **高级RSI背离检测** 指标仅为RSI（最可靠的振荡器）提供全面背离检测： **常规看涨背离（黄色）** - **价格**：更低的低点 - **RSI**：更高的低点 - **信号**：潜在向上反转 - **标签**："涨" - **最常见**：在超卖水平附近（30以下） **常规看跌背离（蓝色）** - **价格**：更高的高点 - **RSI**：更低的高点 - **信号**：潜在向下反转 - **标签**："跌" - **最常见**：在超买水平附近（70以上） **隐藏看涨背离（浅黄色）** - **价格**：更高的低点 - **RSI**：更低的低点 - **信号**：上升趋势延续 - **标签**："隐涨" - **用途**：加仓现有多头 **隐藏看跌背离（浅蓝色）** - **价格**：更低的高点 - **RSI**：更高的高点 - **信号**：下降趋势延续 - **标签**："隐跌" - **用途**：加仓现有空头 **背离参数**（完全可自定义）： - **右侧回溯**：枢轴点右侧K线数（默认：5） - **左侧回溯**：枢轴点左侧K线数（默认：5） - **最大范围**：枢轴点之间最大K线数（默认：60） - **最小范围**：枢轴点之间最小K线数（默认：5） ### 配置设置 #### KSI显示设置 - **显示RSI**：切换RSI指标 - **显示CCI**：切换两条CCI线 - **显示威廉指标 %R**：切换威廉指标（可选） #### RSI设置 - **RSI长度**：计算周期（默认：22） - **数据源**：价格源（默认：收盘价） - **显示背景**：切换绿色/红色背景 - **显示穿越标签**：切换50水平穿越标签 #### RSI背离设置 - **右侧回溯**：枢轴检测右侧 - **左侧回溯**：枢轴检测左侧 - **回溯范围最大值**：最大回溯距离 - **回溯范围最小值**：最小回溯距离 - **显示常规背离**：启用常规背离线 - **显示常规背离标签**：启用常规背离标签 - **显示隐藏背离**：启用隐藏背离线 - **显示隐藏背离标签**：启用隐藏背离标签 #### CCI设置 - **CCI长度**：短期周期（默认：33） - **CCI中期长度**：中期周期（默认：77） - **数据源**：价格计算（默认：HLC3） - **显示CCI(33)**：切换短期CCI - **显示CCI(77)**：切换中期CCI #### 威廉指标 %R 设置 - **长度**：计算周期（默认：28） - **数据源**：价格源（默认：收盘价） ### 使用方法 #### 基础动量交易 1. **仅启用RSI**（主要指标） - 关注50水平穿越 - 启用穿越标签获取信号 2. **识别动量方向** - RSI > 50 = 看涨动量 - RSI < 50 = 看跌动量 - 背景颜色确认方向 3. **寻找极值** - RSI > 80 = 超买（考虑卖出） - RSI < 20 = 超卖（考虑买入） 4. **交易设置** - RSI从超卖区向上穿越50时做多 - RSI从超买区向下穿越50时做空 #### 背离交易 1. **启用RSI和背离检测** - 打开常规背离 - 可选添加隐藏背离 2. **等待背离信号** - 黄色标签 = 看涨背离 - 蓝色标签 = 看跌背离 3. **用价格结构确认** - 等待支撑/阻力突破 - 寻找K线形态 - 检查成交量确认 4. **进入仓位** - 确认后进入 - 止损设在背离枢轴点之外 - 目标下一个关键水平 #### 多振荡器确认 1. **启用全部三个指标** - RSI（动量） - CCI双周期（周期分析） - 威廉指标 %R（极值） 2. **寻找一致性** - 全部在50以上 = 强劲看涨 - 全部在50以下 = 强劲看跌 - 信号混合 = 盘整 3. **识别极值** - 所有指标 > 80 = 极度超买 - 所有指标 < 20 = 极度超卖 4. **交易反转** - 所有指标在极值一致时逆势进入 - 可能的话用背离确认 - 使用紧密止损 #### CCI双周期分析 1. **启用两条CCI线** - CCI(33) = 短期 - CCI(77) = 中期 2. **观察穿越** - 绿色线穿越橙色线向上 = 看涨加速 - 绿色线穿越橙色线向下 = 看跌加速 3. **分析周期间背离** - 短期上升，中期下降 = 潜在反转 - 两者同时上升 = 强趋势 4. **相应交易** - 跟随穿越方向 - 线条汇合时退出 ### 交易策略 #### 策略1：RSI 50水平穿越 **设置：** - 启用RSI及背景和标签 - 等待明确趋势 - 寻找回调至50水平 **入场：** - 多头：回调后出现"突破"标签 - 空头：反弹后出现"跌破"标签 **止损：** - 多头：近期波动低点之下 - 空头：近期波动高点之上 **离场：** - 出现相反穿越标签 - 或预定目标（2:1风险收益比） **适合：**趋势跟随、明确市场 #### 策略2：RSI背离反转 **设置：** - 启用RSI和常规背离 - 等待极端水平（>70或<30） - 寻找背离信号 **入场：** - 多头：超卖水平出现黄色"涨"标签 - 空头：超买水平出现蓝色"跌"标签 **确认：** - 等待价格突破结构 - 检查成交量增加 - 寻找K线反转形态 **止损：** - 背离枢轴点之外 **离场：** - 在50水平部分获利 - 其余在相反极值或背离处离场 **适合：**波段交易、震荡市场 #### 策略3：三重振荡器汇合 **设置：** - 启用全部三个指标 - 等待全部达到极值（>80或<20） - 寻找一致性 **入场：** - 多头：三个全部低于20，第一个向上穿越20 - 空头：三个全部高于80，第一个向下穿越80 **确认：** - 所有指标必须一致 - 价格在支撑/阻力位 - 成交量激增有帮助 **止损：** - 固定百分比或基于ATR **离场：** - 任一指标穿越50水平时 - 或在预定目标 **适合：**高概率反转、波动市场 #### 策略4：CCI双周期系统 **设置：** - 仅启用两条CCI线 - 禁用RSI和威廉指标以保持清晰 - 观察穿越 **入场：** - 多头：CCI(33)在50线下方向上穿越CCI(77) - 空头：CCI(33)在50线上方向下穿越CCI(77) **确认：** - 两者都应朝入场方向移动 - 价格突破关键水平有帮助 **止损：** - CCI反向穿越时 **离场：** - 两条CCI进入相反极值区域 - 或移动止损 **适合：**捕捉趋势延续、动量交易 #### 策略5：隐藏背离延续 **设置：** - 启用RSI和隐藏背离 - 确认现有趋势 - 等待回调 **入场：** - 上升趋势：回调期间出现"隐涨"标签 - 下降趋势：反弹期间出现"隐跌"标签 **确认：** - 价格守住关键移动平均线 - 趋势结构完整 **止损：** - 回调极值之外 **离场：** - 出现常规背离（反转警告） - 或趋势结构破坏 **适合：**加仓、趋势交易 ### 最佳实践 #### 选择显示哪些指标 **新手：** - 仅使用RSI - 启用背景颜色和标签 - 关注50水平穿越 - 简单有效 **中级交易者：** - RSI + 常规背离 - 添加CCI确认 - 使用双重视角 - 更高准确度 **高级交易者：** - 全部三个指标 - 完整背离检测 - 多时间框架分析 - 信息最大化 #### 振荡器优先级 **主要**：RSI (22) - 最可靠 - 最佳背离检测 - 适用所有时间框架 - 用作主要决策依据 **次要**：CCI (33/77) - 添加周期分析 - 确认效果好 - 双周期穿越有价值 - 用于确认RSI信号 **第三**：威廉指标 %R (28) - 极值读数有用 - 更波动 - 最适合短期 - 谨慎使用以获额外确认 #### 时间框架考虑 **低时间框架（1分钟-15分钟）：** - 更多信号，可靠性较低 - 使用紧密背离参数 - 关注RSI穿越 - 快速进出 **中等时间框架（30分钟-4小时）：** - 信号频率平衡 - 默认设置效果好 - 最适合背离交易 - 波段交易最优 **高时间框架（日线+）：** - 信号较少但更强 - 扩大背离范围 - 所有指标更可靠 - 最适合仓位交易 #### 背离交易技巧 1. **等待确认** - 仅背离不够 - 需要价格结构突破 - 成交量帮助验证 2. **极值处最佳** - 80/20水平附近的背离最可靠 - 中间水平背离常失败 - 结合支撑/阻力 3. **多重背离** - 第二次背离强于第一次 - 第三次背离极其强大 - 注意"三重背离" 4. **时间框架对齐** - 检查更高时间框架方向 - 顺大趋势方向交易背离 - 逆势背离风险更大 ### 指标组合 **与移动平均线配合：** - 使用EMA（21/55/144）确定趋势 - KSI用于入场时机 - 两者一致时进入 **与成交量配合：** - 成交量确认突破 - 背离 + 成交量背离 = 更强 - 极值处低成交量 = 可能反转 **与支撑/阻力配合：** - 价格水平作为目标 - KSI用于入场时机 - 水平处的背离 = 最高概率 **与Bias指标配合：** - Bias显示价格偏离 - KSI显示动量 - 两者都背离 = 强反转信号 **与OBV指标配合：** - OBV显示成交量趋势 - KSI显示价格动量 - 成交量/动量背离强大 ### 常见形态 1. **看涨反转**：所有振荡器超卖 + RSI看涨背离 2. **看跌反转**：所有振荡器超买 + RSI看跌背离 3. **趋势加速**：RSI > 50，两条CCI上升，威廉指标不极端 4. **趋势减弱**：价格上升时RSI下降（背离前警告） 5. **强趋势**：所有振荡器长时间保持在50上方/下方 6. **盘整**：振荡器频繁穿越50无极值 7. **衰竭**：多个振荡器在极值 + 隐藏背离失败 ### 性能提示 - 从简单开始：仅RSI - 学习时逐渐添加指标 - 禁用未使用功能以保持图表清晰 - 策略性使用标签（不总是开启） - 为您的市场测试不同RSI长度 - 根据波动性调整背离参数 ### 警报条件 指标包含以下警报： - RSI向上穿越50 - RSI向下穿越50 - RSI常规看涨背离 - RSI常规看跌背离 - RSI隐藏看涨背离 - RSI隐藏看跌背离 --- ## Technical Support For questions or issues, please refer to the TradingView community or contact the indicator creator. ## 技术支持 如有问题，请参考TradingView社区或联系指标创建者。
Indicatore Pine Script®
di lwmxmpyp
TopBot [CHE] TopBot — Structure pivots with buffered acceptance and gradient trend visualization Summary TopBot detects swing structure from confirmed pivot highs and lows, derives support and resistance levels, and switches trend only after a buffered and accepted break. It renders labels for recent structure points, maintains dynamic support and resistance lines that freeze on contact, and colors candles using a gradient that reflects consecutive trend persistence. The gradient communicates strength without extra panels, while the buffered acceptance reduces fragile flips around key levels. Everything runs in the main chart for immediate context. Motivation: Why this design? Classical swing tools often flip on single-bar spikes and produce lines that extend forever without acknowledging when price invalidates them. This script addresses that by requiring a user-controlled buffer and a run of consecutive closes before changing trend, while also freezing lines once price interacts with them. The gradient color layer communicates regime persistence so users can quickly judge whether a move is maturing or just starting. What’s different vs. standard approaches? Baseline reference: Simple pivot labeling and unbuffered break-of-structure tools. Architecture differences: Buffered level testing using ticks, percent, or ATR. Acceptance logic that requires multiple consecutive closes. Synchronized structure labeling with a single Top and Bottom within the active set. Progressive support and resistance management that freezes lines on first contact. Gradient candle and wick coloring driven by consecutive trend counts with windowed normalization and gamma control. Practical effect: Fewer whipsaw flips, clearer status of active levels, and visual feedback about trend persistence without a secondary pane. How it works (technical) The script confirms swing points using left and right bar pivots, then forms a current structure window to classify each pivot as higher high, lower high, higher low, or lower low. Recent labels are trimmed to a user cap, and a postprocess step ensures one highest and one lowest label while preserving side information for the others. Support updates on higher low events, resistance on lower high events. Trend flips only after the close has moved beyond the active level by a chosen buffer and this condition holds for a chosen number of consecutive bars. Lines for new levels extend to the right and freeze once price touches them. A running count of consecutive trend bars produces a strength score, which is normalized over a rolling window, shaped by gamma, and mapped to user-defined dark and neon colors for both up and down regimes. Wick coloring uses `plotcandle`; fallback bar coloring uses `barcolor`. No higher-timeframe data is requested. Signals confirm only after the right-bar lookback of the pivot function. Parameter Guide Left Bars / Right Bars (default five each): Pivot sensitivity. Larger values confirm later and reduce noise; smaller values respond faster with more noise. Draw S/R Lines (default true): Enables support and resistance line creation and updates. Support / Resistance Colors (lime, red): Line colors for each side. Line Style (Solid, Dashed, Dotted; default Dotted) and Width (default three): Visual style of S/R lines. Max Labels & Lines (default ten): Cap for objects to control clutter and resource usage. Change Bar Color (default true), Up/Down colors (blue, black): Fallback bar coloring when gradients or wick coloring are disabled. Show Neutral Candles (default false): Optional coloring when no trend is active. Enable Gradient Bar Colors (default true): Turns on gradient body coloring from the strength score. Enable Wick Coloring (default true): Colors wicks and borders using `plotcandle`. Collection Period (default one hundred): Rolling window used to scale the strength score. Shorter windows react faster but vary more. Gamma Bars / Gamma Plots (defaults zero point seven and zero point eight): Shapes perceived contrast of bar and wick gradients. Lower values brighten early; higher values compress until stronger runs appear. Gradient Transparency / Wick Transparency (default zero): Visual transparency for bodies and wicks. Up/Down Trend Dark and Neon Colors: Endpoints for gradient mapping in each regime. Acceptance closes (n) (default two): Number of consecutive closes beyond a level required before trend flips. Larger values reduce false breaks but react later. Break buffer (None, Ticks, Percent, ATR; default ATR) and Value (default zero point five) and ATR Len (default fourteen): Defines the safety margin beyond the level. ATR mode adapts to volatility; Percent and Ticks are static. Reading & Interpretation Labels: “Top” and “Bottom” mark the most extreme points in the active set; “LT” and “HB” indicate side labels for lower top and higher bottom. Lines: New support or resistance is drawn when structure confirms. A line freezes once price touches it, signaling that the dynamic phase ended. Trend: Internal state switches to up or down only after buffered acceptance. Colors: Brighter neon tones indicate stronger and more persistent runs; darker tones suggest early or weakening runs. When gradients are off, fallback bar colors indicate trend sign. Practical Workflows & Combinations Trend following: Wait for a buffered and accepted break through the most recent level, then use gradient intensity to stage entries or scale-ins. Structure-first filtering: Trade only in the direction of the last accepted trend while price remains above support or below resistance. Exits and stops: Consider exiting on loss of gradient intensity combined with a return through the most recent structure level. Multi-asset / Multi-timeframe: Works on liquid symbols across common timeframes. Use larger pivot bars and higher acceptance on lower timeframes. No built-in higher-timeframe aggregation is used. Behavior, Constraints & Performance Repaint/confirmation: Pivot confirmation waits for the right bar window; trend acceptance is based on closes and can change during a live bar. Final signals stabilize on bar close. security/HTF: Not used. No cross-timeframe data. Resources: Arrays and loops are used for labels, lines, and structure search up to a capped historical span. Object counts are clamped by user input and platform limits. Known limits: Delayed confirmation at sharp turns due to pivot windows; rapid gaps can jump over buffers; gradient scaling depends on the chosen collection period. Sensible Defaults & Quick Tuning Start with the defaults: pivot windows at five, ATR buffer with value near one half, acceptance at two, collection period near one hundred, gamma near zero point seven to zero point eight. Too many flips: increase acceptance, increase buffer value, or increase pivot windows. Too sluggish: reduce acceptance, reduce buffer value, or reduce pivot windows. Colors too flat: lower gamma or shorten the collection period. Visual clutter: reduce the max labels and lines cap or disable wicks. What this indicator is—and isn’t This is a visualization and signal layer that encodes swing structure, level state, and regime persistence. It is not a complete trading system, not predictive, and does not manage orders. Use it with broader context such as higher timeframe structure, session behavior, and defined risk controls. Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts. Best regards and happy trading Chervolino Acknowledgment Thanks to LonesomeTheBlue for the fantastic and inspiring "Higher High Lower Low Strategy" . Original script: Credit for the original concept and implementation goes to the author; any adaptations or errors here are mine.
Indicatore Pine Script®
di chervolino
2
Moving Average ProjectionDisplays 2-5 moving averages (solid lines) and projects their future trajectory (dashed lines) based on current trend momentum. This helps you anticipate where key MAs are heading and identify potential future support/resistance levels. Important: Projections show where MAs would move IF the current trend continues—they're not predictions. Market conditions change, so use projections as planning tools, not trading signals. General Settings Number of MAs (2-5) controls how many moving averages display on your chart. Start with 2-3 to avoid clutter. Projection Bars (1-100) determines how far into the future to project—use 10-20 for intraday charts and 20-40 for daily charts. Lookback for Slope (2-100) sets the number of bars used to calculate trend slope, where shorter lookbacks are more responsive and longer ones are smoother. The default of 20 works well for most situations. Individual MA Settings (MA 1-5) Each MA has four settings: Length sets the period for the MA (common values are 9, 20, 50, 100, and 200), Type lets you choose between SMA, EMA, WMA, HMA, VWMA, or RMA (EMA is most popular), Color sets the historical MA line color, and Projection Color sets the projected line color (usually a lighter or transparent version of the main color). MA Types Quick Reference: EMA is most popular and responsive to recent prices. SMA gives equal weight to all periods and is the smoothest. HMA is very responsive with low lag. VWMA incorporates volume data. Quick Setup Examples Day Trading: 3 MAs (9/21/50 EMA), 10-15 projection bars, 10-15 lookback Swing Trading: 2 MAs (50/200 EMA), 20-30 projection bars, 20 lookback Scalping: 2 MAs (9/20 EMA), 5-10 projection bars, 5-10 lookback How to Use Trend Identification: An uptrend shows price above rising MAs with projections pointing up. A downtrend shows price below falling MAs with projections pointing down. Consolidation appears as flat MAs with horizontal projections. Support & Resistance: Rising MA projections act as future dynamic support levels, while falling MA projections act as future dynamic resistance levels. Anticipating Changes: Watch for projected MA crossovers before they happen. When projections converge, expect volatility or consolidation. Steep projections suggest unsustainable trends, so be cautious. Flat projections indicate ranging markets. Trade Planning: Check the current trend using MA alignment, then look at projections to gauge trend continuation likelihood. Use projected MA levels for potential targets or stop placement. Important Tips When Projections Work Best: Projections are most reliable in stable trending markets with consistent momentum, low volatility environments, and away from major news events. When to Be Cautious: Use caution during high volatility or choppy price action, around major economic releases, when projections show extreme or parabolic angles, and during trend transitions. Combine With Other Analysis: Don't trade projections alone. Use them alongside price action, volume, support and resistance levels, and other indicators for confirmation. Best Practices Start with 2-3 MAs to avoid chart clutter. Match your projection and lookback bars to your trading timeframe. Use consistent color schemes for quick interpretation. Adjust settings as market conditions change. Always use proper risk management—projections are planning tools, not guarantees. Troubleshooting Projections not showing: Check that Projection Bars > 0 and you're viewing the most recent bar Chart too cluttered: Reduce number of MAs or increase projection color transparency Projections too volatile: Increase lookback bars or switch to EMA/SMA from HMA Can't see certain MAs: Verify "Number of MAs" setting includes them (MA 3 won't show if set to 2)
Indicatore Pine Script®
di LeafAlgo
ProScalper📊 ProScalper - Professional 1-Minute Scalping System 🎯 Overview ProScalper is a sophisticated, multi-confluence scalping indicator designed specifically for 1-minute chart trading. Combining advanced technical analysis with intelligent signal filtering, it provides high-probability trade setups with clear entry, stop loss, and take profit levels. ✨ Key Features 🔺 Smart Signal Detection Range Filter Technology: Fast-responding trend detection (25-period) optimized for 1-minute timeframe Medium-sized triangles appear above/below candles for clear buy/sell signals Only most recent signal shown - no chart clutter Automatically deletes old signals when new ones appear 📋 Real-Time Signal Table Top-center display shows complete trade breakdown Grade system: A+, A, B+, B, C+ ratings for every setup All confluence reasons listed with checkmarks Score and R:R displayed for instant trade quality assessment Color-coded: Green for LONG, Red for SHORT 📐 Multi-Confluence Analysis ProScalper combines 10+ technical factors: ✅ EMA Trend: 4 EMAs (200, 48, 13, 8) for multi-timeframe alignment ✅ VWAP: Dynamic support/resistance ✅ Fibonacci Retracement: Golden ratio (61.8%), 50%, 38.2%, 78.6% ✅ Range Filter: Adaptive trend confirmation ✅ Pivot Points: Smart reversal detection ✅ Volume Analysis: Spike detection and volume profile ✅ Higher Timeframe: 5-minute trend confirmation ✅ HTF Support/Resistance: Key levels from higher timeframes ✅ Liquidity Sweeps: Smart money detection ✅ Opening Range Breakout: First 15-minute range 💰 Complete Trade Management Entry Lines: Dashed green (LONG) or red (SHORT) showing exact entry Stop Loss: Red dashed line with price label Take Profit: Blue dashed line with price label and R:R Partial Exits: 1R level marked with orange dashed line All lines extend 10 bars for clean alignment with Fibonacci levels 📊 Dynamic Risk/Reward Adaptive R:R calculation based on market volatility Targets adjusted for pivot distances Minimum 1.2:1 to maximum 3.5:1 for scalping Position sizing based on account risk percentage 🎨 Professional Visualization Clean chart layout - no clutter, only essential information Custom EMA colors: Red (200), Aqua (48), Green (13), White (8) Gold VWAP line for key support/resistance Color-coded Fibonacci: Bright yellow (61.8%), white (50%), orange (38.2%), fuchsia (78.6%) No shaded zones - pure price action focus 📈 Performance Tracking Real-time statistics table (optional) Win rate, total trades, P&L tracking Average R:R and win/loss ratios Setup-specific performance metrics ⚙️ Settings & Customization Risk Management Adjustable account risk per trade (default: 0.5%) ATR-based stop loss multiplier (default: 0.8 for tight scalping) Dynamic position sizing Signal Sensitivity Confluence Score Threshold: 40-100 (default: 55 for balanced signals) Range Filter Period: 25 bars (fast signals for 1-min) Range Filter Multiplier: 2.2 (tighter bands for more signals) Visual Controls Toggle signal table on/off Show/hide Fibonacci levels Control EMA visibility Adjust table text size Partial Exits 1R: 50% (default) 2R: 30% (default) 3R: 20% (default) Fully customizable percentages Trailing Stops ATR-Based (best for scalping) Pivot-Based EMA-Based Breakeven trigger at 0.8R 🎯 Best Use Cases Ideal For: ✅ 1-minute scalping on liquid instruments ✅ Day traders looking for quick 2-8 minute trades ✅ High-frequency trading with 8-15 signals per session ✅ Trending markets where Range Filter excels ✅ Crypto, Forex, Futures - works on all liquid assets Trading Style: Timeframe: 1-minute (can work on 3-5 min with adjusted settings) Hold Time: 3-8 minutes average Target: 1.2-3R per trade Frequency: 8-15 signals per day Win Rate: 45-55% (with proper risk management) 📋 How to Use Step 1: Wait for Signal Watch for green triangle (BUY) or red triangle (SELL) Signal table appears at top center automatically Step 2: Review Confluence Check grade (prefer A+, A, B+ for best quality) Review all reasons listed in table Confirm score is above your threshold (55+ recommended) Note the R:R ratio Step 3: Enter Trade Enter at current market price Set stop loss at red dashed line Set take profit at blue dashed line Mark 1R level (orange line) for partial exit Step 4: Manage Trade Exit 50% at 1R (orange line) Move to breakeven after 0.8R Trail remaining position using your chosen method Exit fully at TP or opposite signal 🎨 Chart Setup Recommendations Optimal Display: Timeframe: 1-minute Chart Type: Candles or Heikin Ashi Background: Dark theme for best color visibility Volume: Enable volume bars below chart Complementary Indicators (optional): Order flow/Delta for institutional confirmation Market profile for key levels Economic calendar for news avoidance ⚠️ Important Notes Risk Disclaimer: Not financial advice - for educational purposes only Always use proper risk management (0.5-1% per trade max) Past performance doesn't guarantee future results Test on demo account before live trading Best Practices: ✅ Trade during high liquidity hours (9:30-11 AM, 2-4 PM EST) ✅ Avoid news events and market open/close (first/last 2 minutes) ✅ Use tight stops (0.8-1.0 ATR) for 1-minute scalping ✅ Take partial profits quickly (1R = 50% off) ✅ Respect max daily loss limits (3% recommended) ✅ Focus on A and B grade setups for consistency What Makes This Different: 🎯 Complete system - not just signals, but full trade management 📊 Multi-confluence - 10+ factors analyzed per trade 🎨 Professional visualization - clean, focused chart design ⚡ Optimized for 1-min - settings specifically tuned for fast scalping 📋 Transparent reasoning - see exactly why each trade was taken 🏆 Grade system - instantly know trade quality 🔧 Technical Details Pine Script Version: 5 Overlay: Yes (plots on price chart) Max Lines: 500 Max Labels: 100 Non-repainting: All signals confirmed on bar close Alerts: Compatible with TradingView alerts 📞 Support & Updates This indicator is actively maintained and optimized for 1-minute scalping. Settings can be adjusted for different timeframes and trading styles, but default configuration is specifically tuned for high-frequency 1-minute scalping. 🚀 Get Started Add ProScalper to your 1-minute chart Adjust settings to your risk tolerance Wait for signals (green/red triangles) Follow the signal table guidance Manage trades using provided levels Track performance with stats table Happy Scalping! 📊⚡💰
Indicatore Pine Script®
di Prospecttrades
VWAP Composites📊 VWAP Composite - Advanced Multi-Period Volume Weighted Average Price Indicator ═══════════════════════════════════════════════════════════════════ 🎯 OVERVIEW VWAP Composite is an advanced volume-weighted average price (VWAP) indicator that goes beyond traditional single-period VWAP calculations by offering composite multi-period analysis and unprecedented customization. This indicator solves a common problem traders face: traditional VWAP resets at arbitrary intervals (session start, day, week), but significant price action and volume accumulation often spans multiple periods. VWAP Composite allows you to anchor VWAP calculations to any timeframe—or combine multiple periods into a single composite VWAP—giving you a true representation of average price weighted by volume across the exact periods that matter to your analysis. ═══════════════════════════════════════════════════════════════════ ⚙️ HOW IT WORKS - CALCULATION METHODOLOGY 📌 CORE VWAP CALCULATION The indicator calculates VWAP using the standard volume-weighted formula: • Typical Price = (High + Low + Close) / 3 • VWAP = Σ(Typical Price × Volume) / Σ(Volume) This calculation is performed across user-defined time periods, ensuring each bar's contribution to the average is proportional to its trading volume. 📌 STANDARD DEVIATION BANDS The indicator calculates volume-weighted standard deviation to measure price dispersion around the VWAP: • Variance = Σ / Σ(Volume) • Standard Deviation = √Variance • Upper Band = VWAP + (StdDev × Multiplier) • Lower Band = VWAP - (StdDev × Multiplier) These bands help identify overbought/oversold conditions relative to the volume-weighted mean, with high-volume price excursions having greater impact on band width than low-volume moves. 📌 COMPOSITE PERIOD METHODOLOGY (Auto Mode) Unlike traditional VWAP that resets at fixed intervals, Auto Mode creates composite VWAPs by combining the current period with N previous periods: • Period Span = 1: Current period only (standard VWAP behavior) • Period Span = 2: Current period + 1 previous period combined • Period Span = 3: Current period + 2 previous periods combined • And so on... Example: A 3-period Weekly composite VWAP calculates from the start of 2 weeks ago through the current week's end, creating a single VWAP that represents 21 days of continuous price and volume data. This provides context about where price stands relative to the volume-weighted average over multiple weeks, not just the current week. ═══════════════════════════════════════════════════════════════════ 🔧 KEY FEATURES & ORIGINALITY ✅ DUAL OPERATING MODES 1️⃣ MANUAL MODE (5 Independent VWAPs) Define up to 5 separate VWAP calculations with custom start/end times: • Perfect for anchoring VWAP to specific events (earnings, Fed announcements, major reversals) • Each VWAP has independent color settings for lines and deviation band backgrounds • Individual control over calculation extension and visual extension (explained below) • Useful for tracking multiple institutional accumulation/distribution zones simultaneously 2️⃣ AUTO MODE (Composite Period VWAP) Automatically calculates VWAP across combined time periods: • Supported periods: Daily, Weekly, Monthly, Quarterly, Yearly • Configurable period span (1-20 periods) • Always up-to-date, recalculates on each new bar • Ideal for systematic analysis across consistent timeframes ✅ DUAL EXTENSION SYSTEM (Manual Mode Innovation) Most VWAP indicators only offer "on/off" for extending calculations. This indicator provides two distinct extension options: 🔹 EXTEND CALCULATION TO CURRENT BAR When enabled, continues including new bars in the VWAP calculation after the defined end time. The VWAP value updates dynamically as new volume enters the market. Use case: You anchored VWAP to a major low 3 weeks ago. You want the VWAP to continue evolving with new volume data to track ongoing institutional positioning. 🔹 EXTEND VISUAL LINE ONLY When enabled (and calculation extension is disabled), projects the "frozen" VWAP value forward as a reference line. The VWAP value remains fixed at what it was at the end time, but the line and deviation bands visually extend to current price. Use case: You want to see how price is behaving relative to the VWAP that existed at a specific point in time (e.g., "Where is price now vs. the 5-day VWAP that existed at last Friday's close?"). This dual system gives you unprecedented control over whether you're tracking a "living" VWAP that incorporates new data or using historical VWAP levels as static reference points. ✅ CUSTOMIZABLE STANDARD DEVIATION BANDS • Adjustable multiplier (0.1 to 5.0) • Independent background colors with opacity control for each VWAP • Dashed band lines for easy visual distinction from main VWAP • Bands extend when visual extension is enabled, maintaining zone visibility ✅ COMPREHENSIVE LABELING SYSTEM Each VWAP displays: • Current VWAP value • Upper deviation band value (High) • Lower deviation band value (Low) • Extension status indicator (Calc Extended / Visual Extended) • Color-coded for quick identification ═══════════════════════════════════════════════════════════════════ 📖 HOW TO USE THIS INDICATOR 🎯 SCENARIO 1: EVENT-ANCHORED VWAP (Manual Mode) Use case: A stock gaps down 15% on earnings and you want to track where institutions are positioning during the recovery. Setup: 1. Switch to Manual Mode 2. Enable VWAP 1 3. Set Start Time to the earnings gap bar 4. Set End Time to current time (or leave far in future) 5. Enable "Extend Calculation to Current Bar" 6. Watch how price respects the VWAP as a dynamic support/resistance Interpretation: • Price above VWAP = buyers in control since the event • Price testing VWAP from above = potential support • Volume-weighted standard deviation bands show normal price range • Price outside bands = potential exhaustion/mean reversion setup 🎯 SCENARIO 2: MULTI-WEEK INSTITUTIONAL ACCUMULATION ZONE (Auto Mode) Use case: You trade swing setups and want to identify where institutions have been accumulating over the past 3 weeks. Setup: 1. Switch to Auto Mode 2. Select "Weekly" period type 3. Set Period Span to 3 4. Enable standard deviation bands Interpretation: • 3-week composite VWAP shows the true average institutional entry • Price bouncing off VWAP repeatedly = strong support (institutions defending their average) • Price breaking below VWAP on high volume = potential distribution • Deviation bands contracting = consolidation; expanding = volatility increase 🎯 SCENARIO 3: COMPARING MULTIPLE TIME HORIZONS (Manual Mode) Use case: You want to see short-term vs medium-term vs long-term VWAP alignments. Setup: 1. Switch to Manual Mode 2. VWAP 1: Last 5 trading days (blue) 3. VWAP 2: Last 10 trading days (orange) 4. VWAP 3: Last 20 trading days (purple) 5. Enable "Extend Calculation" for all 6. Set different background colors for visual separation Interpretation: • All VWAPs aligned upward = strong trend across all timeframes • Price between VWAPs = finding equilibrium between different trader timeframes • Short-term VWAP crossing long-term VWAP = momentum shift • Price rejecting at higher-timeframe VWAP = that timeframe's traders defending their average 🎯 SCENARIO 4: HISTORICAL VWAP REFERENCE LEVELS (Manual Mode) Use case: You want to see where the 1-month VWAP was at each month-end as static reference levels. Setup: 1. Switch to Manual Mode 2. VWAP 1: Set to last month's start/end dates 3. VWAP 2: Set to 2 months ago start/end dates 4. VWAP 3: Set to 3 months ago start/end dates 5. Disable "Extend Calculation" 6. Enable "Extend Visual Line Only" Interpretation: • Each VWAP represents the volume-weighted average for that complete month • These become static support/resistance levels • Price returning to old monthly VWAPs = institutional memory/gap fill behavior • Useful for identifying longer-term value areas ═══════════════════════════════════════════════════════════════════ 🎨 CUSTOMIZATION OPTIONS GENERAL SETTINGS • Show/hide labels • Line style: Solid, Dashed, or Dotted • Standard deviation multiplier (impacts band width) • Toggle standard deviation bands on/off MANUAL MODE (Per VWAP) • Custom start and end times • Line color picker • Background color picker (with transparency control) • Extend calculation option • Extend visual option • Show/hide individual VWAPs AUTO MODE • Period type selection (Daily/Weekly/Monthly/Quarterly/Yearly) • Period span (1-20 periods) • Line color • Background color (with transparency control) ═══════════════════════════════════════════════════════════════════ 💡 TRADING APPLICATIONS ✓ Mean Reversion: Use deviation bands to identify stretched prices likely to return to VWAP ✓ Trend Confirmation: Price sustained above VWAP = bullish bias; below = bearish bias ✓ Support/Resistance: VWAP often acts as dynamic S/R, especially on higher volume periods ✓ Institutional Positioning: Multi-day/week VWAPs show where large players have established positions ✓ Entry Timing: Wait for pullbacks to VWAP in trending markets ✓ Stop Placement: Use VWAP ± standard deviation as volatility-adjusted stop levels ✓ Breakout Confirmation: Breakouts from consolidation with price reclaiming VWAP = stronger signal ✓ Multi-Timeframe Analysis: Compare short vs long-period VWAPs to gauge momentum alignment ═══════════════════════════════════════════════════════════════════ ⚠️ IMPORTANT NOTES • The indicator redraws on each bar to maintain accurate visual representation (uses `barstate.islast`) • Maximum lookback is limited to 5000 bars for performance optimization • Time range calculations work across all timeframes but are most effective on intraday to daily charts • Standard deviation bands assume volume-weighted distribution; extreme events may violate assumptions • Auto mode always calculates to current bar; use Manual mode for fixed historical periods ═══════════════════════════════════════════════════════════════════ This indicator is open-source. Feel free to examine the code, learn from it, and adapt it to your needs.
Indicatore Pine Script®
di benb1122
🚀 Ultimate Trading Tool + Strat Method🚀 Ultimate Trading Tool + Strat Method - Complete Breakdown Let me give you a comprehensive overview of this powerful indicator! 🎯 What This Indicator Does: This is a professional-grade, all-in-one trading system that combines two proven methodologies: 1️⃣ Technical Analysis System (Original) Advanced trend detection using multiple EMAs Momentum analysis with MACD RSI multi-timeframe analysis Volume surge detection Automated trendline drawing 2️⃣ Strat Method (Pattern Recognition) Inside bars, outside bars, directional bars Classic patterns: 2-2, 1-2-2 Advanced patterns: 3-1-2, 2-1-2, F2→3 Timeframe continuity filters 📊 How It Generates Signals: Technical Analysis Signals (Green/Red Triangles): Buy Signal Triggers When: ✅ Price above EMA 21 & 50 (uptrend) ✅ MACD histogram rising (momentum) ✅ RSI between 30-70 (not overbought/oversold) ✅ Volume surge above 20-period average ✅ Price breaks above resistance trendline Scoring System: Trend alignment: +1 point Momentum: +1 point RSI favorable: +1 point Trendline breakout: +2 points Minimum score required based on sensitivity setting Strat Method Signals (Blue/Orange Labels): Pattern Recognition: 2-2 Setup: Down bar → Up bar (or reverse) 1-2-2 Setup: Inside bar → Down bar → Up bar 3-1-2 Setup: Outside bar → Inside bar → Up bar 2-1-2 Setup: Down bar → Inside bar → Up bar F2→3 Setup: Failed directional bar becomes outside bar Confirmation Required: Must break previous bar's high (buy) or low (sell) Optional timeframe continuity (daily & weekly aligned) 💰 Risk Management Features: Dynamic Stop Loss & Take Profit: ATR-Based: Adapts to market volatility Stop Loss: Entry - (ATR × 1.5) by default Take Profit: Entry + (ATR × 3.0) by default Risk:Reward: Customizable 1:2 to 1:5 ratios Visual Risk Zones: Colored boxes show risk/reward area Dark, bold lines for easy identification Clear entry, stop, and target levels 🎨 What You See On Screen: Main Signals: 🟢 Green Triangle "BUY" - Technical analysis long signal 🔴 Red Triangle "SELL" - Technical analysis short signal 🎯 Blue Label "STRAT" - Strat method long signal 🎯 Orange Label "STRAT" - Strat method short signal Trendlines: Green lines - Support trendlines (bullish) Red lines - Resistance trendlines (bearish) Automatically drawn from pivot points Extended forward to predict future levels Stop/Target Levels: Bold crosses at stop loss levels (red color) Bold crosses at take profit levels (green color) Line width = 3 for maximum visibility Trade Zones: Light green boxes - Long trade risk/reward zone Light red boxes - Short trade risk/reward zone Shows potential profit vs risk visually 📊 Information Dashboard (Top Right): Shows real-time market conditions: Main Signal: Current technical signal status Strat Method: Active Strat pattern Trend: Bullish/Bearish/Neutral Momentum: Strong/Weak based on MACD Volume: High/Normal compared to average TF Continuity: Daily/Weekly alignment RSI: Current RSI value with color coding Support/Resistance: Current trendline levels 🔔 Alert System: Entry Alerts: Technical Signals: 🚀 BUY SIGNAL TRIGGERED! Type: Technical Analysis Entry: 45.23 Stop: 43.87 Target: 48.95 ``` **Strat Signals:** ``` 🎯 STRAT BUY TRIGGER! Pattern: 3-1-2 Entry: 45.23 Trigger Level: 44.56 Exit Alerts: Target hit notifications Stop loss hit warnings Helps maintain discipline ⚙️ Customization Options: Signal Settings: Sensitivity: High/Medium/Low (controls how many signals) Volume Filter: Require volume surge or not Momentum Filter: Require momentum confirmation Strat Settings: TF Continuity: Require daily/weekly alignment Pattern Selection: Enable/disable specific patterns Confirmation Mode: Show only confirmed triggers Risk Settings: ATR Multiplier: Adjust stop/target distance Risk:Reward: Set preferred ratio Visual Elements: Show/hide any component Visual Settings: Colors: Customize all signal colors Display Options: Toggle signals, levels, zones Trendline Length: Adjust pivot detection period 🎯 Best Use Cases: Day Trading: Use low sensitivity setting Enable all Strat patterns Watch for high volume signals Quick in/out trades Swing Trading: Use medium sensitivity Require timeframe continuity Focus on trendline breakouts Hold for target levels Position Trading: Use high sensitivity (fewer signals) Require strong momentum Focus on weekly/daily alignment Larger ATR multipliers 💡 Trading Strategy Tips: High-Probability Setups: Double Confirmation: Technical + Strat signal together Trend Alignment: All timeframes agree Volume Surge: Institutional participation Trendline Break: Clear level breakout Risk Management: Always use stops - System provides them Position sizing - Risk 1-2% per trade Don't chase - Wait for signal confirmation Take profits - System provides targets What Makes Signals Strong: ✅ Both technical AND Strat signals fire together ✅ Timeframe continuity (daily & weekly aligned) ✅ Volume surge confirms institutional interest ✅ Multiple indicators align (trend + momentum + RSI) ✅ Clean trendline breakout with no resistance above (or support below) ⚠️ Common Mistakes to Avoid: Don't ignore stops - System calculates them for a reason Don't overtrade - Wait for quality setups Don't disable volume filter - Unless you know what you're doing Don't use max sensitivity - You'll get too many signals Don't ignore timeframe continuity - It filters bad trades 🚀 Why This Indicator is Powerful: Combines Multiple Edge Sources: Technical analysis (trend, momentum, volume) Pattern recognition (Strat method) Risk management (dynamic stops/targets) Market structure (trendlines, support/resistance) Professional Features: No repainting - signals are final when bar closes Clear risk/reward before entry Multiple confirmation layers Adaptable to any market or timeframe Beginner Friendly: Clear visual signals Automatic calculations Built-in risk management Comprehensive dashboard This indicator essentially gives you everything a professional trader uses - trend analysis, momentum, patterns, volume, risk management - all in one clean package! Any specific aspect you'd like me to explain in more detail? 🎯RetryClaude can make mistakes. Please double-check responses. Sonnet 4.5
Indicatore Pine Script®
di jmslimus
2
ULTIMATE Smart Trading Pro 🔥 ## 🇬🇧 ENGLISH ### 📊 The Most Complete All-in-One Trading Indicator **ULTIMATE Smart Trading Pro** combines the best technical analysis tools and Smart Money Concepts into a single powerful and intelligent indicator. Designed for serious traders who want a real edge in the markets. --- ### ✨ KEY FEATURES #### 💰 **SMART MONEY CONCEPTS** - **Order Blocks**: Automatically detects institutional zones where "smart money" enters positions - **Break of Structure (BOS)**: Identifies structure breaks to confirm trend changes - **Liquidity Zones**: Spots equal highs/lows areas where institutions hunt stops - **Market Structure**: Visually displays bullish (green background) or bearish (red background) structure #### 📈 **ADVANCED TECHNICAL INDICATORS** - **RSI with Auto Divergences**: Classic RSI + automatic detection of bullish and bearish divergences - **MACD with Signals**: Identifies bullish and bearish crossovers in real-time - **Dynamic Support & Resistance**: Adaptive zones with intelligent scoring based on volume, multiple touches, and ATR - **Fair Value Gaps (FVG)**: Detects unfilled price gaps (imbalance zones) #### 📐 **AUTOMATIC TOOLS** - **Auto Fibonacci**: Automatically calculates Fibonacci retracement levels on the last major trend - **Pivot Points**: Daily, Weekly, or Monthly pivot points (PP, R1, R2, S1, S2) - **Pattern Finder**: Automatically detects candlestick patterns (Hammer, Shooting Star, Engulfing, Morning/Evening Star) and chart patterns (Double Top/Bottom) --- ### 🎯 HOW TO USE IT #### Quick Setup: 1. **Add the indicator** to your chart 2. **Open Settings** and enable/disable modules as needed 3. **Adjust parameters** for your trading style (scalping, swing, day trading) #### Optimal Trading Setup: 🔥 **ULTRA STRONG Signal** when you have: - An institutional **Order Block** - Aligned with a **Support/Resistance** tested 3+ times - An unfilled **FVG** nearby - An **RSI divergence** confirming the reversal - On a key **Fibonacci** level (50%, 61.8%, or 78.6%) - Favorable market structure (green background for buys, red for sells) --- ### 💡 UNIQUE ADVANTAGES ✅ **Adaptive Intelligence**: Automatically adjusts to market volatility (ATR) ✅ **Volume Filters**: Validates important levels with volume confirmation ✅ **Multi-Timeframe Ready**: Works on all timeframes (1m to 1M) ✅ **Complete Alerts**: Notifications for all important signals ✅ **Clear Interface**: Emojis and colored labels for quick identification ✅ **Intelligent Scoring**: Levels ranked by importance (🔴🔴🔴 = very strong) ✅ **100% Customizable**: Enable only what you need --- ### 🎨 SYMBOL LEGEND **Smart Money:** - 🟢 OB = Bullish Order Block - 🔴 OB = Bearish Order Block - BOS ↑/↓ = Break of Structure - 💧 LIQ = Liquidity Zone **Candlestick Patterns:** - 🔨 = Hammer (bullish signal) - ⭐ = Shooting Star (bearish signal) - 📈 = Bullish Engulfing - 📉 = Bearish Engulfing - 🌅 = Morning Star (bullish reversal) - 🌆 = Evening Star (bearish reversal) **Indicators:** - 🚀 MACD ↑ = Bullish crossover - 📉 MACD ↓ = Bearish crossover - ⚠️ DIV = Bearish RSI divergence - ✅ DIV = Bullish RSI divergence **Support & Resistance:** - 🟢/🔴 S1, R1 = Support/Resistance - 🟢🟢🟢/🔴🔴🔴 = VERY strong level (3+ touches) - (×N) = Number of times touched --- ### ⚙️ RECOMMENDED SETTINGS **For Scalping (1m - 5m):** - SR Lookback: 15 - Structure Strength: 3 - RSI: 14 - Volume Filter: ON **For Day Trading (15m - 1H):** - SR Lookback: 20 - Structure Strength: 5 - RSI: 14 - All filters: ON **For Swing Trading (4H - Daily):** - SR Lookback: 30 - Structure Strength: 7 - Pattern Lookback: 100 - Fibonacci: ON --- ### 🚨 DISCLAIMER This indicator is a decision support tool. It does not guarantee profits and does not constitute financial advice. Always test on a demo account before real use. Trading involves significant risks. --- ## 📞 SUPPORT & UPDATES For questions, suggestions, or bug reports, please comment below or contact the author. **Version:** 1.0 **Last Updated:** October 2025 **Compatible:** TradingView Pine Script v6 --- ### 🌟 If you find this indicator useful, please give it a 👍 and share it with other traders! **Happy Trading! 🚀📈**
Indicatore Pine Script®
di GreyBoxBot
1
Multiple Colored Moving AveragesMULTIPLE COLORED MOVING AVERAGES - USER GUIDE DISCLAIMER ---------- Both the code and this documentation were created heavily using artificial intelligence. I'm lazy... This indicator was inspired by repo32's "Moving Average Colored EMA/SMA" indicator. * What is this indicator? ----------------------- This is a TradingView indicator that displays up to 4 different moving averages on your chart simultaneously. Each moving average can be customized with different calculation methods, colors, and filtering options. Why would I use multiple moving averages? ----------------------------------------- - See trend direction across different timeframes at once - Identify support and resistance levels - Spot crossover signals between fast and slow MAs - Reduce false signals with filtering options - Compare how different MA types react to price action What moving average types are available? ---------------------------------------- 11 different types: - SMA: Simple average, equal weight to all periods - EMA: Exponential, more weight to recent prices - WMA: Weighted, linear weighting toward recent data - RMA: Running average, smooth like EMA - DEMA: Double exponential, reduced lag - TEMA: Triple exponential, even less lag - HMA: Hull, fast and smooth combination - VWMA: Volume weighted, includes volume data - LSMA: Least squares, based on linear regression - TMA: Triangular, double-smoothed - ZLEMA: Zero lag exponential, compensated for lag How do I set up the indicator? ------------------------------ Each MA has these settings: - Enable/Disable: Turn each MA on or off - Type: Choose from the 11 calculation methods - Length: Number of periods (21, 50, 100, 200 are common) - Smoothing: 0-10 levels of extra smoothing - Noise Filter: 0-5% to ignore small changes - Colors: Bullish (rising) and bearish (falling) colors - Line Width: 1-5 pixels thickness What does the smoothing feature do? ----------------------------------- Smoothing applies extra calculations to make the moving average line smoother. Higher levels reduce noise but make the MA respond slower to price changes. Use higher smoothing in choppy markets, lower smoothing in trending markets. What is the noise filter? -------------------------- The noise filter ignores small percentage changes in the moving average. For example, a 0.3% filter will ignore any MA movement smaller than 0.3%. This helps eliminate false signals from minor price fluctuations. When should I use this indicator? --------------------------------- - Trend analysis: See if market is going up, down, or sideways - Entry timing: Look for price bounces off MA levels - Exit signals: Watch for MA slope changes or crossovers - Support/resistance: MAs often act as dynamic levels - Multi-timeframe analysis: Use different lengths for different perspectives What are some good settings to start with? ------------------------------------------- Conservative approach: - MA 1: EMA 21 (short-term trend) - MA 2: SMA 50 (medium-term trend) - MA 3: SMA 200 (long-term trend) - Low noise filtering (0.1-0.3%) Active trading: - MA 1: HMA 9 (very responsive) - MA 2: EMA 21 (short-term) - MA 3: EMA 50 (medium-term) - Minimal or no smoothing How do I interpret the colors? ------------------------------ Each MA changes color based on its direction: - Bullish color: MA is rising (upward trend) - Bearish color: MA is falling (downward trend) - Gray: MA is flat or unchanged What should I look for in crossovers? ------------------------------------- - Golden Cross: Fast MA crosses above slow MA (bullish signal) - Death Cross: Fast MA crosses below slow MA (bearish signal) - Multiple crossovers in same direction can confirm trend changes - Wait for clear separation between MAs after crossover How do I use MAs for support and resistance? --------------------------------------------- - In uptrends: MAs often provide support when price pulls back - In downtrends: MAs may act as resistance on rallies - Multiple MAs create support/resistance zones - Stronger levels where multiple MAs cluster together Can I use this with other indicators? ------------------------------------- Yes, it works well with: - Volume indicators for confirmation - RSI or MACD for timing entries - Bollinger Bands for volatility context - Price action patterns for setup confirmation What if I get too many signals? ------------------------------- - Increase smoothing levels - Raise noise filter percentages - Use longer MA periods - Focus on major crossovers only - Wait for multiple MA confirmation What if signals are too slow? ----------------------------- - Reduce smoothing to 0 - Lower noise filter values - Switch to faster MA types (HMA, ZLEMA, DEMA) - Use shorter periods - Focus on the fastest MA only Which MA types work best in different markets? ---------------------------------------------- Trending markets: EMA, DEMA, TEMA (responsive to trends) Choppy markets: SMA, TMA, HMA with smoothing (less whipsaws) High volatility: Use higher smoothing and noise filtering Low volatility: Use minimal filtering for better responsiveness Do I need all the advanced features? ------------------------------------ No. Start with basic settings: - Choose MA type and length - Set colors you prefer - Leave smoothing at 0 - Leave noise filter at 0 Add complexity only if needed to improve signal quality. How do I know if my settings are working? ----------------------------------------- - Backtest on historical data - Paper trade the signals first - Adjust based on market conditions - Keep a trading journal to track performance - Be willing to modify settings as markets change Can I save different configurations? ------------------------------------ Yes, save different indicator templates in TradingView for: - Different trading styles (scalping, swing trading) - Different market conditions (trending, ranging) - Different instruments (stocks, forex, crypto)
Indicatore Pine Script®
di oozzzaa
Extreme Zone Volume ProfileExtreme Zone Volume Profile (EZVP) Originality & Innovation The Extreme Zone Volume Profile (EZVP) revolutionizes traditional volume profile analysis by applying statistical zone classification to volume distribution. Unlike standard volume profiles that display raw volume data, EZVP segments the price range into statistically meaningful zones based on percentile thresholds, allowing traders to instantly identify where volume concentration suggests strong support/resistance versus areas of potential breakout. Technical Methodology Core Algorithm: Distributes volume across user-defined bins (20-200) over a lookback period Calculates volume-weighted price levels for each bin Applies percentile-based zone classification to the price range (not volume ranking) Zone B (extreme zones): Outer percentile tails representing potential rejection areas Zone A (significant zones): Secondary percentile bands indicating strong interest levels Center Zone: Bulk trading range where most price discovery occurs Mathematical Foundation: The script uses price-range percentiles rather than volume percentiles. If the total price range is divided into 100%, Zone B captures the extreme price tails (default 2.5% each end ≈ 2 standard deviations), Zone A captures the next significant bands (default 14% each ≈ 1 standard deviation), leaving the center for normal distribution trading. Key Calculations: POC (Point of Control): Price level with maximum volume accumulation Volume-weighted mean price: Total volume × price / total volume Median price: Geometric center of the price range Rightward-projected bars: Volume bars extend forward from current time to avoid historical chart clutter Trading Applications Zone Interpretation: Zone B (Red/Green): Extreme price levels where volume suggests strong rejection potential. Price reaching these zones often indicates overextension and possible reversal points. Zone A (Orange/Teal): Significant support/resistance areas with substantial volume interest. These levels often act as intermediate targets or consolidation zones. Center (Gray): Fair value area where most trading occurs. Price tends to return to this range during normal market conditions. Strategic Usage: Reversal Trading: Look for rejection signals when price enters Zone B areas Breakout Confirmation: Volume expansion beyond Zone B boundaries suggests genuine breakouts Support/Resistance: Zone A boundaries often provide reliable entry/exit levels Mean Reversion: Price tends to gravitate toward the volume-weighted mean and POC lines Unique Value Proposition EZVP addresses three key limitations of traditional volume profiles: Visual Clarity: Standard profiles can be cluttered and difficult to interpret quickly. EZVP's color-coded zones provide instant visual feedback about price significance. Statistical Framework: Rather than relying on subjective interpretation of volume nodes, EZVP applies objective percentile-based classification, making support/resistance identification more systematic. Forward-Looking Display: Rightward-projecting bars keep historical price action clean while maintaining current market structure visibility. Configuration Guide Lookback Period (10-1000): Controls the historical depth of volume calculation. Shorter periods for intraday scalping, longer for swing trading. Number of Bins (20-200): Resolution of volume distribution. Higher values provide more granular analysis but may create noise on lower timeframes. Zone Percentages: Zone B: Extreme threshold (default 2.5% = ~2σ statistical significance) Zone A: Significant threshold (default 14% = ~1σ statistical significance) Visual Controls: Toggle individual elements (POC, median, mean, zone lines) to customize display complexity for your trading style. Technical Requirements Pine Script v6 compatible Maximum bars back: 5000 (ensures sufficient historical data) Maximum boxes: 500 (supports high-resolution bin counts) Maximum lines: 50 (accommodates all zone and reference lines) This indicator synthesizes volume profile theory with statistical zone analysis, providing a quantitative framework for identifying high-probability support/resistance levels based on volume distribution patterns rather than arbitrary price levels.
Indicatore Pine Script®
di NateRichmond
1
Stochastic Ribbon & EMAsHere's a comprehensive description for publishing your indicator: --- # **Stochastic Ribbon & EMAs** A clean and powerful trading indicator that combines **Stochastic Support/Resistance levels** with **Essential Moving Averages** for comprehensive market analysis. ## **📊 What It Does** This indicator provides **7 key reference lines** on your chart: - **3 Stochastic levels** (20%, 50%, 80%) - Dynamic support/resistance zones - **4 Essential EMAs** (20, 50, 100, 200) - Trend direction and momentum ## **🎯 Key Features** ### **Stochastic Ribbon (3 Yellow Lines)** - **80% Line**: Dynamic resistance level - potential selling zone - **50% Line**: Market equilibrium - trend direction reference - **20% Line**: Dynamic support level - potential buying zone - **Default 50-period lookback** for stable, reliable levels - **All lines in yellow** for clean, consistent visualization ### **Essential EMAs (4 Colored Lines)** - **20 EMA** (Purple): Short-term trend and entry timing - **50 EMA** (Dark Cyan): Medium-term trend direction - **100 EMA** (Rosy Brown): Long-term trend confirmation - **200 EMA** (Brown): Major trend and institutional levels ## **📈 How to Use** ### **For Support & Resistance:** - **Above 80% line**: Look for selling opportunities (overbought zone) - **Between 50-80%**: Bullish bias, pullbacks to 50% line for entries - **Around 50% line**: Key equilibrium - watch for direction - **Between 20-50%**: Bearish bias, bounces to 50% line for exits - **Below 20% line**: Look for buying opportunities (oversold zone) ### **For Trend Analysis:** - **EMA Stack Order**: Higher timeframe EMAs above lower = uptrend - **Price above all EMAs**: Strong bullish momentum - **Price below all EMAs**: Strong bearish momentum - **EMA as dynamic support/resistance**: Bounces and rejections ### **For Entry Signals:** - **Confluence zones**: Where Stochastic levels meet EMA levels - **Breakouts**: Price breaking through multiple levels simultaneously - **Reversals**: Price rejection at extreme Stochastic levels with EMA confirmation ## **⚙️ Settings** ### **Stochastic Ribbon** - **Show/Hide**: Toggle the 3 Stochastic lines - **Length**: Period for high/low calculation (default: 50) - **Start**: Multiplier for calculation (default: 1) ### **EMAs** - **Individual toggles**: Show/hide each EMA separately - **Custom periods**: Adjust each EMA length (defaults: 20, 50, 100, 200) - **Custom colors**: Personalize each EMA color ## **🚀 Why This Indicator?** ✅ **Clean & Simple**: No cluttered charts - just essential levels ✅ **Multi-Timeframe**: Works on all timeframes from 1m to 1W ✅ **Versatile**: Suitable for scalping, day trading, and swing trading ✅ **Low Lag**: Dynamic levels that adapt to current market conditions ✅ **Proven Components**: Combines two well-established technical concepts ✅ **Customizable**: Adjust all parameters to fit your trading style ## **💡 Pro Tips** - **Use multiple timeframes**: Check higher timeframe alignment for stronger signals - **Combine with volume**: Look for volume confirmation at key levels - **Watch for confluences**: Best signals occur where multiple levels align - **Respect the 50% line**: Often acts as the most important level for trend direction ## **📋 Technical Details** - **Version**: Pine Script v5 - **Overlay**: Yes (displays on main price chart) - **Plots**: 7 total (well within Pine Script limits) - **Performance**: Optimized for fast loading and smooth operation --- **Perfect for traders who want clear, actionable levels without chart clutter. Whether you're a beginner learning support/resistance or an experienced trader looking for clean reference points, this indicator delivers exactly what you need.**
Indicatore Pine Script®
di insomniac_vampire
1
Daily Weekly Monthly Highs & Lows [Dova Lazarus]Daily Weekly Monthly Highs & Lows 📊 Overview This Pine Script indicator displays key support and resistance levels by plotting the highs and lows from Daily, Weekly, and Monthly timeframes on your current chart. It's designed as an educational tool to help traders understand multi-timeframe analysis and identify significant price levels. 🎯 Key Features Multi-Timeframe Support & Resistance - Daily Levels: Shows previous daily highs and lows - Weekly Levels: Displays weekly highs and lows - Monthly Levels: Plots monthly highs and lows - Smart Display: Only shows relevant timeframes based on your current chart timeframe Fully Customizable Appearance - Individual Colors: Set unique colors for each timeframe - Line Styles: Choose between Solid, Dashed, or Dotted lines - Line Width: Adjust thickness from 1-4 pixels - Lookback Periods: Control how many historical levels to display User-Friendly Options - Enable/Disable: Toggle any timeframe on/off - Line Extension: Option to extend lines into the future - Clean Interface: Organized settings groups for easy configuration 🔧 Settings Timeframes Group - Show Daily/Weekly/Monthly Levels: Enable or disable each timeframe - Lookback Periods: Number of historical levels to display (1-10) Line Settings Group - Color: Choose custom colors for each timeframe - Style: Select line appearance (Solid/Dashed/Dotted) - Width: Set line thickness (1-4 pixels) Display Options Group - Extend Lines Forward: Project lines 20 bars into the future 📈 How to Use 1. Add to Chart: Apply the indicator to any timeframe chart 2. Configure Timeframes: Enable the timeframes you want to see 3. Customize Appearance: Set colors and line styles for easy identification 4. Identify Levels: Use the plotted levels as potential support/resistance zones 5. Plan Trades: Look for price reactions at these key levels 💡 Trading Applications - Support & Resistance: Identify key price levels where reversals may occur - Entry Points: Look for bounces or breaks at these levels - Stop Loss Placement: Use levels to set logical stop losses - Target Setting: Previous highs/lows can serve as profit targets - Multi-Timeframe Analysis: Understand the bigger picture context 🎓 Educational Value This indicator is perfect for: - Learning Pine Script: Clean, well-commented code structure - Understanding Multi-Timeframe Analysis: See how different timeframes interact - Practicing Technical Analysis: Identify key support/resistance concepts - Code Study: Full variable names and detailed comments for learning ⚙️ Technical Details - Version: Pine Script v6 - Overlay: True (plots directly on price chart) - Max Lines: 500 (handles multiple timeframes efficiently) - Compatibility: Works on all timeframes (shows relevant levels only) 🔍 What Makes This Different - Educational Focus: Designed for learning with clear code structure - Simplified Interface: Easy-to-use settings without overwhelming options - Visual Clarity: Clean line display with customizable appearance - Practical Application: Real trading tool, not just a demonstration 📋 Requirements - TradingView account (any plan) - Basic understanding of support/resistance concepts - Any chart timeframe (indicator adapts automatically) 🚀 Quick Start 1. Add indicator to your chart 2. Default settings work great out of the box 3. Customize colors if desired (Green=Daily, Orange=Weekly, Red=Monthly) 4. Watch for price reactions at the plotted levels 5. Use as part of your technical analysis toolkit --- *This indicator is designed as an educational tool and should be used in conjunction with other forms of analysis. Past performance does not guarantee future results.*
Indicatore Pine Script®
di DovaLazarus
Linear Regression Channels📈 Linear Regression Channels 🌟 Overview A professional dual linear regression channel indicator designed for comprehensive trend analysis. This powerful tool provides simultaneous short-term and long-term trend perspectives through two independent regression channels with customizable standard deviation bands. 🔧 Core Features 📊 Dual Channel System Channel 1: 43-period regression analysis for long-term trend identification Channel 2: 20-period regression analysis for short-term momentum tracking Independent Configuration: Each channel fully customizable with separate parameters Real-Time Updates: Dynamic calculations with every new candle 📐 Standard Deviation Bands Multiple Levels: Configurable deviation bands (1σ, 2σ, 3σ) Dynamic Support/Resistance: Automatically calculated price levels Trend Boundaries: Clear visualization of trend strength and direction Statistical Precision: Mathematically accurate regression calculations 🎨 Customization Options 🎭 Visual Styling Individual Colors: Separate color schemes for each channel Line Styles: Choose between Solid, Dashed, or Dotted lines Line Width: Adjustable thickness (1-5 pixels) for optimal visibility Extension Options: Project lines into the future for analysis ⚙️ Technical Parameters Period Length: Fully adjustable lookback periods Source Selection: Choose from Close, Open, High, Low, or custom sources Deviation Levels: Customizable standard deviation multipliers Display Control: Toggle individual channels on/off 📈 Trading Applications 🎯 Trend Analysis Dual Timeframe Perspective: Simultaneous short and long-term view Trend Confirmation: When both channels align in direction Trend Strength: Measured by price position within channels 🔍 Support & Resistance Dynamic Levels: Standard deviation bands as S/R zones Channel Boundaries: Natural support and resistance areas Confluence Trading: Multiple level confirmations ⚡ Entry & Exit Signals Channel Breakouts: Trend continuation opportunities Mean Reversion: Trades back to center line Channel Crossovers: When price moves between timeframes 🚀 Key Benefits ✅ Multi-Timeframe Analysis - Complete market perspective ✅ Mathematical Precision - Least squares regression accuracy ✅ High Customization - Adaptable to any trading style ✅ Clean Interface - Professional chart appearance ✅ Performance Optimized - Smooth real-time operation ✅ Versatile Application - Works on all markets and timeframes 💡 Professional Usage Combine both channels for confluence signals Use longer channel for overall trend bias Trade shorter channel signals within longer trend Monitor channel width for volatility analysis Essential tool for traders seeking precise trend analysis and dynamic support/resistance levels.
Indicatore Pine Script®
di shlomig212
T3 Moving Average with Multiple EMAsT3 Moving Average with Multiple EMAs Short Title: T3 + EMAs Overview The T3 Moving Average with Multiple EMAs is a versatile trend-following indicator that combines the smooth, adaptive T3 Moving Average with eight customizable multi-timeframe Exponential Moving Averages (EMAs). Designed for traders seeking clarity in trend direction and momentum, this indicator overlays on the price chart to highlight dynamic support/resistance levels and trend alignment across multiple timeframes. Key Features T3 Moving Average: A highly responsive, smoothed moving average (default: 9-period, 0.7 volume factor) that reduces lag while maintaining accuracy, ideal for identifying short-term trends and reversals. Eight Multi-Timeframe EMAs: Plots eight EMAs (default lengths: 8, 13, 21, 34, 55, 89, 144, 233) sourced from user-defined timeframes (e.g., 1m, 5m, 15m, 1h, 4h), providing a comprehensive view of short-, medium-, and long-term trends. Customizable Timeframes: Each EMA can be independently set to a specific timeframe, allowing traders to analyze cross-timeframe trend alignment. Theme Support: Offers "Dark" and "Light" themes with optimized colors for visual clarity and chart compatibility. Flexible Parameters: Adjust T3 length, volume factor, EMA lengths, and timeframes to suit various markets and trading styles (scalping, swing trading, or long-term investing). How It Works The T3 Moving Average is calculated using a multi-stage EMA formula weighted by a volume factor, offering smoother trend tracking than traditional EMAs. The eight EMAs, sourced from higher or lower timeframes using request.security, provide a layered perspective on price trends. Faster EMAs (e.g., 8, 13) react to short-term price movements, while slower EMAs (e.g., 144, 233) reflect longer-term trends. The indicator plots all lines on the price chart with distinct, theme-adjusted colors for easy identification. Usage Trend Identification: Use the T3 MA for short-term trend signals and the EMAs to confirm broader trend direction. A price above multiple EMAs suggests a bullish trend; below indicates bearish. EMA Crossovers: Watch for crossovers between faster and slower EMAs (e.g., 8 crossing 21) for potential entry/exit signals. Support/Resistance: Treat slower EMAs (e.g., 89, 144) as dynamic support/resistance levels, especially on higher timeframes. Timeframe Alignment: Align trades with the trend direction of higher-timeframe EMAs for higher-probability setups. Customization: Adjust T3 and EMA settings to match your trading style or asset volatility. Settings T3 Parameters: Length (default: 9): Period for T3 calculation. Volume Factor (default: 0.7): Controls T3 smoothness (0.1–1.0). EMA Parameters: Lengths (default: 8, 13, 21, 34, 55, 89, 144, 233): Period for each EMA. Timeframes (default: 5m, 5m, 15m, 15m, 1h, 1h, 4h, 4h): Select from 1m, 5m, 15m, 30m, 1h, 4h, D, W, or M. Theme: Choose "Dark" (vibrant colors) or "Light" (softer colors) for chart compatibility. Notes Combine with other tools (e.g., RSI, support/resistance, or volume) for confirmation. Optimize settings for specific markets (e.g., crypto, forex, stocks) or timeframes. The indicator is overlayed on the price chart for seamless integration with price action analysis. Author’s Note This indicator was designed to provide traders with a clear, multi-timeframe perspective on trends using the T3 MA and EMAs. Feedback is welcome to enhance this tool for the TradingView community!
Indicatore Pine Script®
di xxBoomerxx
Murrey Math Lines v6Murrey Math Lines v6 This is not just another Murrey Math indicator. It's a complete, ground-up modernization of the classic concept, rebuilt with the latest Pine Script features for unparalleled performance, accuracy, and usability. While preserving the core mathematical genius of T.H. Murrey's system, this version introduces a suite of modern tools designed for today's trader. What are Murrey Math Lines? Murrey Math Lines (MML) are a powerful system of support and resistance based on geometric formulas developed by T.H. Murrey. As a derivation of W.D. Gann's observations, Murrey's geometry simplifies Gann's theories into a more accessible application. The core principle is that price action tends to trend and retrace in 1/8th intervals. These intervals create a "trading octave" with distinct levels, each having its own characteristic behavior: & - Ultimate Resistance & Support: These lines are the hardest to break. They represent the top and bottom of the expected price range and are prime areas for reversals. - Major Pivot: This is the most significant level, offering the strongest support and resistance within the octave. Price has a high probability of stopping and reversing here. & - Strong Pivot/Reversal: These are strong, secondary pivot points where price often struggles to pass through. & - The Trading Range: The price tends to consolidate between these two lines about 50% of the time. A decisive break outside this range often signals the start of a new trend. & - Weak Support/Resistance: These levels are weaker, but when price moves too quickly towards them, they can act as initial stopping points or areas for a minor reversal. & - Extended Octave: These lines show extreme overbought and oversold conditions beyond the primary 0/8 to 8/8 octave. Modern Enhancements in This Version Session-Locked Precision: Anchor the Murrey Lines to the start of a specific trading session (e.g., NYSE open). The levels remain constant for the entire session, providing a stable and reliable framework for your daily analysis. Visual Trading & Reversal Zones: Instead of just lines, this indicator can fill the key trading range (3/8 to 5/8) and reversal zones (0/8-1/8 & 7/8-8/8) with color, giving you an instant visual reference of market sentiment. Dynamic "Closest Price" Labels: Declutter your chart! The indicator can intelligently display only the label for the Murrey level closest to the current price, keeping your view clean while providing critical information at a glance. Integrated Alert System: Never miss a key level touch again. Set up alerts for when the price approaches major lines, the trading range, or all lines, customized to your trading style. Advanced Pine Script Engine: Built on a modern codebase using User-Defined Types and dynamic drawing objects (line, box, label). This ensures the indicator is fast, efficient, and non-repainting, even on lower timeframes. Intuitive User Interface: Settings are neatly organized into collapsible groups with clear tooltips, making it incredibly easy to customize every aspect of the indicator, from calculation parameters to colors. A Note on Accuracy Some of the other Murrey Math indicators on TradingView use different formulas and therefore produce varying results. This version has been carefully checked against MML indicators on other professional platforms to ensure its calculations are accurate and reliable. Credits This indicator is a complete overhaul and modernization of the original "MM Lines " script. Full credit for the original calculation logic and concept goes to its author, JRL_6.
Indicatore Pine Script®
di snoopydoopy1
1