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Wyckoff — True Composite Man (v6)⭐ Wyckoff — True Composite Man (v6) Description (Copy/Paste for Publishing) Wyckoff — True Composite Man (v6) is a full market-structure engine designed to detect authentic Wyckoff accumulation and distribution events directly on the chart. It combines volume analysis, range expansion, structural pivots, and contextual pattern logic to identify the actions of the “Composite Man” with high accuracy. This script tracks volatility spikes, range climaxes, structural breaks, and major Wyckoff events — without repainting — and visually marks each phase or event in real-time. Detected Wyckoff Events ✔ SC — Selling Climax ✔ AR — Automatic Rally ✔ PS — Preliminary Support ✔ SPRING — Shakeout / Bear Trap ✔ UT — Upthrust (Distribution Trap) ✔ SOS — Sign of Strength ✔ LPS — Last Point of Support / Supply Each event includes spacing logic to avoid duplicates and ensure only meaningful signals are shown. How It Works • Volume spikes identified using a moving average multiplier • Range climaxes measured against dynamic range MA • Structural context using 50-bar highs/lows • Background phases (optional) based on Wyckoff logic • Auto-labeling with smart bar spacing • Optional triangle markers for climaxes Use Cases • Identifying accumulation/distribution zones • Detecting Springs, UTADs, and climaxes • Recognizing early trend reversals • Confirming Wyckoff events during live price action • Helping traders spot manipulative “Composite Man” footprints Best For • Intraday traders • Swing traders • Anyone using Wyckoff methodology • Traders who want clean, objective event detection This is a complete Wyckoff toolset built for real-time structural clarity.
Indicatore Pine Script®
di Timmy741
CVD [able0.1]# CVD Overlay iOS Style - Complete User Guide ## 📖 Table of Contents 1. (#what-is-cvd) 2. (#installation-guide) 3. (#understanding-the-display) 4. (#reading-the-info-table) 5. (#settings--customization) 6. (#trading-strategies) 7. (#common-mistakes-to-avoid) --- ## 🎯 What is CVD? **CVD (Cumulative Volume Delta)** tracks the **difference between buying and selling pressure** over time. ### Simple Explanation: - **Positive CVD** (Orange) = More buying than selling = Bulls winning - **Negative CVD** (Gray) = More selling than buying = Bears winning - **Rising CVD** = Increasing buying pressure = Potential uptrend - **Falling CVD** = Increasing selling pressure = Potential downtrend ### Why It Matters: CVD helps you see **who's really in control** of the market - not just price movement, but actual buying/selling volume. --- ## 🚀 Installation Guide ### Step 1: Open Pine Editor 1. Go to TradingView 2. Click the **"Pine Editor"** tab at the bottom of the screen 3. Click **"New"** or open an existing script ### Step 2: Copy & Paste the Code 1. Select all existing code (Ctrl+A / Cmd+A) 2. Delete it 3. Copy the entire CVD iOS Style code 4. Paste it into Pine Editor ### Step 3: Add to Chart 1. Click **"Save"** button (or Ctrl+S / Cmd+S) 2. Click **"Add to Chart"** button 3. The indicator will appear on your chart! ### Step 4: Initial Setup - The indicator appears as an **overlay** on your price chart - You'll see an **orange/gray line** following price - An **info table** appears in the top-right corner --- ## 📊 Understanding the Display ### Main Chart Elements: #### 1. **CVD Line** (Orange/Gray) - **Orange Line** = Positive CVD (buying pressure) - **Gray Line** = Negative CVD (selling pressure) - This line moves with your price chart but shows volume delta #### 2. **CVD Zone** (Shaded Area) - Light shaded box around the CVD line - Shows the "range" of CVD movement - Helps visualize CVD boundaries #### 3. **Center Line** (Dotted) - Gray dotted line in the middle of the zone - Represents the "neutral" point - CVD crossing this = shift in market control #### 4. **Reference Asset Line** (Light Gray) - Shows Bitcoin (BTC) price movement for comparison - Helps you see if your asset moves with or against BTC - Can be changed to any asset you want #### 5. **CVD Label** - Shows current CVD value - Positioned above/below zone to avoid overlap - Updates in real-time #### 6. **Reset Background** (Very Light Gray) - Appears when CVD resets - Indicates a new calculation period --- ## 📋 Reading the Info Table The info table (top-right) shows **8 key metrics**: ### Row 1: **Header** ``` ╔═ CVD able ═╗ | 15m | ████████ | able ``` - **CVD able** = Indicator name + creator - **15m** = Current timeframe - **████████** = Visual decoration - **able** = Creator signature ### Row 2: **CVD Value** ``` CVD▲ | 7.39K | ████████ | █ █ █ ``` - **CVD▲** = CVD with trend arrow - ▲ = CVD increasing - ▼ = CVD decreasing - ► = CVD unchanged - **7.39K** = Actual CVD number - **Progress Bar** = Visual strength (darker = stronger) - **Vertical Bars** = Height shows intensity ### Row 3: **Delta** ``` ◆DELTA | -1.274K | ████░░░░ | ░ ░ ``` - **Delta** = Volume change THIS BAR ONLY - **Negative** = More selling this bar - **Positive** = More buying this bar - Shows **immediate** pressure (not cumulative) ### Row 4: **UP Volume** ``` UP↑ | -1.263K | ████████ | █ █ █ ``` - Total **buying volume** this bar - Higher = Stronger buying pressure - Green/Orange vertical bars = Bullish strength ### Row 5: **DOWN Volume** ``` DN↓ | 2.643K | ████████ | ░ ░ ░ ``` - Total **selling volume** this bar - Higher = Stronger selling pressure - Gray vertical bars = Bearish strength ### Row 6-7: **Reference Asset** (if enabled) ``` ══ REF ══ | ══════ | ████████ | █ █ PRICE▲ | 4130.300 | ████████ | █ █ ``` - **REF** = Reference asset header - **PRICE▲** = Reference price with trend - Shows if BTC (or chosen asset) is rising/falling - Compare with your chart to see correlation ### Row 8: **Market Status** ``` ◄STATUS► | NEUT | ████░░░░ | ▒ ▒ ``` - **BULL** = CVD positive + Delta positive = Strong buying - **BEAR** = CVD negative + Delta negative = Strong selling - **NEUT** = Mixed signals = Wait for clarity **Status Colors:** - **Orange background** = Bullish (good for long) - **Gray background** = Bearish (good for short) - **White background** = Neutral (no clear signal) --- ## ⚙️ Settings & Customization ### Main Settings (⚙️) #### **CVD Reset** - **None** = CVD never resets (from beginning of data) - **On Higher Timeframe** = Resets when HTF candle closes - 15m chart → Resets hourly - 1h chart → Resets daily - Recommended for most traders - **On Session Start** = Resets at market open - **On Visible Chart** = Resets from leftmost visible bar #### **Precision** - **Low (Fast)** = Uses 1m data, faster but less accurate - **Medium** = Uses 5m data, balanced (recommended) - **High** = Uses 15m data, most accurate but slower #### **Cumulative** - ✅ On = CVD accumulates over time (recommended) - ❌ Off = Shows only current bar delta #### **Show Labels** - ✅ On = Shows CVD value label on chart - ❌ Off = Cleaner chart, no label #### **Show Info Table** - ✅ On = Shows info table (recommended for beginners) - ❌ Off = Hide table for minimalist view --- ### 🎨 iOS Style Colors You can customize **every color** to match your chart theme: #### **Primary Colors** - **Primary (Orange)** = Main bullish color (#FF9500) - **Secondary (Gray)** = Main bearish color (#8E8E93) - **Background** = Table background (#FFFFFF) - **Text** = Text color (#1C1C1E) #### **Bullish/Bearish** - **Bullish (Orange)** = Positive CVD color - **Bearish (Gray)** = Negative CVD color - **Opacity** = Zone transparency (0-100%) - **Show Zone** = Enable/disable shaded area #### **Table Colors** (📋) - **Header Background** = Top row background - **Header Text** = Top row text color - **Cell Background** = Data cells background - **Cell Text** = Data cells text color - **Border** = Table border color - **Accent Background** = Special rows background - **Alert Background** = Warning/status background --- ### 📊 Reference Asset Settings #### **Enable** - ✅ On = Shows reference asset line - ❌ Off = Hide reference asset #### **Symbol** - Default: `BINANCE:BTCUSDT` - Can change to any asset: - `BINANCE:ETHUSDT` (Ethereum) - `SPX` (S&P 500) - `DXY` (US Dollar Index) - Any ticker symbol #### **Color & Width** - Customize line appearance - Width: 1-4 (thickness) --- ## 💡 Trading Strategies ### Strategy 1: CVD Divergence (Beginner-Friendly) **What to Look For:** - Price making **higher highs** but CVD making **lower highs** = Bearish divergence - Price making **lower lows** but CVD making **higher lows** = Bullish divergence **How to Trade:** 1. Wait for divergence to form 2. Look for confirmation (price reversal, candlestick pattern) 3. Enter trade in divergence direction 4. Stop loss beyond recent high/low **Example:** ``` Price: /\ /\ /\ (higher highs) CVD: /\ / \/ (lower highs) = Bearish signal ``` ### Strategy 2: CVD Trend Following (Intermediate) **What to Look For:** - **Strongly rising CVD** + **rising price** = Strong uptrend - **Strongly falling CVD** + **falling price** = Strong downtrend **How to Trade:** 1. Wait for CVD and price moving in same direction 2. Enter on pullbacks to support/resistance 3. Stay in trade while CVD trend continues 4. Exit when CVD trend breaks **Signals:** - CVD ▲▲▲ + Price ↑ = Go LONG - CVD ▼▼▼ + Price ↓ = Go SHORT ### Strategy 3: CVD + Reference Asset (Advanced) **What to Look For:** - Your asset **rising** but BTC (reference) **falling** = Relative strength - Your asset **falling** but BTC (reference) **rising** = Relative weakness **How to Trade:** 1. Compare CVD movement with BTC 2. If your CVD rises faster than BTC = Buy signal 3. If your CVD falls faster than BTC = Sell signal 4. Use for **pair trading** or **asset selection** ### Strategy 4: Volume Delta Confirmation **What to Look For:** - **Large positive Delta** = Strong buying this bar - **Large negative Delta** = Strong selling this bar **How to Trade:** 1. Price breaks resistance + Large positive Delta = Confirmed breakout 2. Price breaks support + Large negative Delta = Confirmed breakdown 3. Use Delta to **confirm** price moves, not predict them **Rules:** - Delta > 2x average = Very strong pressure - Delta near zero at key level = Weak move, likely false breakout --- ## 🎓 Reading Real Scenarios ### Scenario 1: Strong Buying Pressure ``` Table Shows: CVD▲ | 12.5K | ████████ | ████ (CVD rising) ◆DELTA | +2.8K | ████████ | ▲ (Positive delta) UP↑ | 3.1K | ████████ | ████ (High buy volume) DN↓ | 0.3K | ██░░░░░░ | ░ (Low sell volume) ◄STATUS► | BULL | ████████ | ████ (Orange background) ``` **Interpretation:** Strong buying, good for LONG trades ### Scenario 2: Distribution (Hidden Selling) ``` Table Shows: CVD► | 8.2K | ████░░░░ | ▒▒ (CVD flat) ◆DELTA | -1.5K | ████████ | ▼ (Negative delta) UP↑ | 0.8K | ███░░░░░ | ░ (Low buy volume) DN↓ | 2.3K | ████████ | ████ (High sell volume) ◄STATUS► | BEAR | ████████ | ░░░░ (Gray background) ``` **Interpretation:** Price may look stable, but selling increasing = Prepare for drop ### Scenario 3: Neutral/Choppy Market ``` Table Shows: CVD► | 5.1K | ████░░░░ | ▒ (CVD sideways) ◆DELTA | +0.2K | ██░░░░░░ | ─ (Small delta) UP↑ | 1.2K | ████░░░░ | ▒ (Medium buy) DN↓ | 1.0K | ████░░░░ | ▒ (Medium sell) ◄STATUS► | NEUT | ████░░░░ | ▒▒ (White background) ``` **Interpretation:** No clear direction = Stay out or reduce position size --- ## ⚠️ Common Mistakes to Avoid ### Mistake 1: Trading on CVD Alone - ❌ **Wrong:** "CVD is rising, I'll buy immediately" - ✅ **Right:** "CVD is rising, let me check price structure, support/resistance, and wait for confirmation" ### Mistake 2: Ignoring Delta - ❌ **Wrong:** Looking only at cumulative CVD - ✅ **Right:** Watch both CVD (trend) and Delta (momentum) - Delta shows **immediate** pressure changes ### Mistake 3: Wrong Timeframe - ❌ **Wrong:** Using 1m chart with High Precision (too slow) - ✅ **Right:** Match precision to timeframe: - 1m-5m → Low Precision - 15m-1h → Medium Precision - 4h+ → High Precision ### Mistake 4: Not Using Reset - ❌ **Wrong:** Using "None" reset for intraday trading - ✅ **Right:** Use "On Higher Timeframe" to see fresh CVD each session ### Mistake 5: Overtrading Neutral Status - ❌ **Wrong:** Forcing trades when STATUS = NEUT - ✅ **Right:** Only trade clear BULL or BEAR status ### Mistake 6: Ignoring Reference Asset - ❌ **Wrong:** Trading altcoin without checking BTC - ✅ **Right:** Always check if BTC CVD agrees with your asset --- ## 🔥 Pro Tips ### Tip 1: Multi-Timeframe Analysis - Check CVD on **3 timeframes**: - Lower TF (15m) = Entry timing - Current TF (1h) = Trade direction - Higher TF (4h) = Overall trend ### Tip 2: Volume Confirmation - Big price move + Small Delta = **Weak move** (likely reversal) - Small price move + Big Delta = **Strong accumulation** (continuation) ### Tip 3: CVD Reset Zones - Pay attention to **reset backgrounds** (light gray) - Often marks **session starts** = High volatility periods ### Tip 4: Divergence + Status - Bearish divergence + STATUS = BEAR = **Strongest short signal** - Bullish divergence + STATUS = BULL = **Strongest long signal** ### Tip 5: Color Psychology - **Orange** (Bullish) is **warm** = Buying energy - **Gray** (Bearish) is **cool** = Selling pressure - Train your eye to read colors instantly ### Tip 6: Table as Quick Scan - Glance at table without reading numbers: - **All orange** = Bullish - **All gray** = Bearish - **Mixed** = Wait --- ## 📱 Quick Reference Card | Signal | CVD | Delta | Status | Action | |--------|-----|-------|--------|--------| | **Strong Buy** | ▲▲ High | ++ Positive | BULL | Long Entry | | **Strong Sell** | ▼▼ Low | -- Negative | BEAR | Short Entry | | **Divergence Buy** | ▲ Rising | Price ▼ | → BULL | Long Setup | | **Divergence Sell** | ▼ Falling | Price ▲ | → BEAR | Short Setup | | **Neutral** | → Flat | ~0 Near Zero | NEUT | Stay Out | | **Accumulation** | → Flat | ++ Positive | NEUT→BULL | Watch for Breakout | | **Distribution** | → Flat | -- Negative | NEUT→BEAR | Watch for Breakdown | --- ## 🆘 Troubleshooting ### Issue: "Indicator not showing" - **Solution:** Make sure overlay=true in code, re-add to chart ### Issue: "Table overlaps with price" - **Solution:** Change table position in code or use TradingView's "Move" feature ### Issue: "CVD line too far from price" - **Solution:** This is normal! CVD is volume-based, not price-based. Focus on CVD direction, not position ### Issue: "Too many lines on chart" - **Solution:** Disable "Show Zone" and "Show Labels" in settings for cleaner view ### Issue: "Calculations too slow" - **Solution:** Change Precision to "Low (Fast)" or use higher timeframe ### Issue: "Reference asset not showing" - **Solution:** Check if "Enable" is ON and symbol is valid (e.g., BINANCE:BTCUSDT) --- ## 🎬 Getting Started Checklist - Install indicator on TradingView - Set precision to "Medium" - Set reset to "On Higher Timeframe" - Enable info table - Add reference asset (BTC) - Practice reading the table on demo account - Test on different timeframes (15m, 1h, 4h) - Compare CVD with your current strategy - Paper trade for 1 week before going live - Keep a trading journal of CVD signals --- ## 📚 Summary **CVD shows WHO is winning: Buyers or Sellers** **Key Points:** 1. **Orange/Rising CVD** = Buying pressure = Bullish 2. **Gray/Falling CVD** = Selling pressure = Bearish 3. **Delta** = Immediate momentum THIS BAR 4. **Status** = Overall market condition 5. **Always confirm** with price action & other indicators **Remember:** - CVD is a **tool**, not a crystal ball - Use with proper risk management - Practice makes perfect - Stay disciplined! --- **Created by: able** **Version:** iOS Style v1.0 **Contact:** For questions, refer to TradingView community Happy Trading! 🚀📈
Indicatore Pine Script®
di Able-terminal
Cumulative Volume Delta (HA Option)# **📘 Ultimate Guide to Trading With CVD Heikin Ashi (CVD+)** ## **🔍 What This Indicator Shows** This tool plots **Cumulative Volume Delta (CVD)** as candlesticks—optionally transformed into **Heikin Ashi CVD candles**. Instead of price, each candle represents the *battle between buyers and sellers* within your chosen timeframe. **Volume Delta = Buying Volume – Selling Volume** CVD takes all deltas and stacks them cumulatively, showing who is controlling the auction *over time*. With Heikin Ashi smoothing layered on top, trend detection becomes cleaner, letting you see the “true pressure” behind price moves. --- # **💡 Why CVD Is a Game Changer** Most traders only see price. Serious traders watch **pressure**. CVD exposes what price hides: * Absorption * Hidden accumulation * Seller exhaustion * Fake breakouts * True reversals * Momentum strength / weakness * Smart money footprint When combined with Heikin-Ashi smoothing, you get delta trends with way less noise and fewer fake flips. --- # **📈 How to Actually Use It (The Edge)** ## **1. Spot True Trend vs. Fake Trend** If **price goes up** but **CVD goes down**, that’s: * Passive sellers absorbing * A weak rally * High probability of reversal If **price pulls back** but **CVD keeps rising**, that’s: * Secret accumulation * A continuation setup * Great dip-buy opportunity **Rule of thumb:** 🔹 *Follow the CVD trend, not the price noise.* --- ## **2. Catch Reversals Early** Watch for: ### **🔻 Bearish Reversal Signals** * CVD makes a **lower high** * Heikin Ashi CVD prints **red bodies with rising upper shadows** * Price makes one final push up on low delta This is classic distribution → the drop usually follows fast. ### **🔹 Bullish Reversal Signals** * CVD forms a **higher low** * HA CVD flips from red to green with full bodies * Price still looks weak = bottom forming This is exactly how pros catch bottoms early. --- ## **3. Identify Absorption Levels** If price hits a level multiple times but CVD keeps climbing (or falling), that level is being defended. Example: * Price stalls at support * CVD keeps rising = **Buyers absorbing sells → high-probability bounce** Opposite works for resistance. --- ## **4. Validate Breakouts** A breakout with *weak or negative CVD* is usually a trap. A breakout with **strong, rising HA CVD** is real. If CVD diverges from the breakout direction → fade it. If CVD confirms → ride it. --- ## **5. Use Heikin Ashi to Stay in Trends** HA smoothing removes the nasty chop of raw delta data. Look for: * Consecutive **full-body teal candles = strong buying wave** * Consecutive **full-body red candles = strong selling wave** * Small-bodied candles after a trend = momentum dying This keeps you in winners longer and cuts losers faster. --- # **🎯 Practical Trading Playbook** ### **A) Long Setup** 1. Price pullback into support 2. CVD stays bullish or makes a higher low 3. HA CVD flips green or prints a strong body 4. Enter long 5. Stop under CVD structural low ### **B) Short Setup** 1. Price pushes into resistance 2. CVD forms bearish divergence 3. HA CVD prints red bodies 4. Enter short 5. Stop above CVD swing high ### **C) Chop Filter** No clear HA CVD trend = avoid trading → stop donating money to the market. --- # **🧠 Tips for Mastery** * Use lower timeframe delta (1m–5m) for scalping entries * Use a higher anchor timeframe (1D) to define direction * When price trends but CVD is flat → expect a fakeout * When CVD trends but price is flat → expect a breakout * Trade WITH delta, fade AGAINST delta --- # **⚠️ Important Notes** * Crypto = full tick-by-tick volume → CVD is extremely accurate * Stocks = depends on your broker/data vendor * Futures = best signal-to-noise ratio * If your symbol has no volume → indicator will warn you --- # **📥 Recommended Settings** * **Anchor timeframe**: 1D or 4H * **Lower timeframe**: 1m, 3m, or 5m * **Heikin Ashi**: ON for trend filtering, OFF for raw delta --- # **🔥 Final Word** Price can lie. Delta usually doesn’t. CVD + Heikin Ashi gives you the closest thing to reading the market’s heartbeat in real time. Use it to confirm breakouts, detect reversals early, identify real trend strength, and avoid getting caught in manipulation. If you learn to read CVD well… you stop trading price, and start trading the **intent** behind the price.
Indicatore Pine Script®
di Manifesting_Gains
Institutional Volume Flow (IVF) with VWAP & Zones. Accumulation Zone (Green Background)Logic: Signals potential institutional buying at the low.Conditions: The current close price is below VWAP $\text{(close} < \text{VWAP)}$, AND there has been at least one Aggressive Buy (IVF) bar within the last $\text{N}$ bars.2. Manipulation Zone (Red Background)Logic: Signals a Stop Hunt or False Breakout where the market briefly takes out a previous extreme before reversing with institutional conviction.Conditions:False Break High: Current high is a new 2-bar high, immediately followed by an Aggressive Sell (IVF) bar.False Break Low: Current low is a new 2-bar low, immediately followed by an Aggressive Buy (IVF) bar.3. Compression Zone (Purple Background)Logic: Signals a period of low volatility where price is "coiling up" for a large move.Conditions: The bar's range $\text{(high} - \text{low)}$ is consistently small (less than a multiplier of the Average True Range (ATR)) for a specific number of bars.The zones are plotted using bgcolor() for a visual area on the chart and plotshape() to mark the specific bar where the condition is met. Manipulation is given the highest plotting priority to ensure it's visible over other zones if conditions overlap.Would you like me to elaborate on the typical trading strategy associated with any of these three zones (Accumulation, Manipulation, or Compression)?
Indicatore Pine Script®
di shunty2731
Delta Volume RSI1. Introduction The Delta Volume RSI (Relative Strength Index based on Volume Delta) indicator provides a unique perspective on market momentum by analyzing the average gains and losses of the volume delta —the difference between buying and selling volume—over a specified period. Unlike traditional RSI, which focuses on price changes, this indicator evaluates shifts in market participation intensity, helping traders detect periods of accumulation and distribution through volume action. 2. Key Features - Volume-Based Calculation: Computes RSI using the average gains and losses of delta volume rather than price changes, offering insights into buying/selling pressure. - Dynamic Color Coding: Paints the indicator line green when above the 50 level, and red when below, enabling quick visual identification of momentum shifts around neutrality. - Reference Levels: Clearly displays overbought (70), neutral (50), and oversold (30) lines for context on volume-driven market extremes. - Customizable Period: Users can set the period for RSI calculation to fit their trading style and timeframe preferences. 3. How to Use 1. Interpret Colors: The indicator line turns green when volume delta momentum is bullish (above 50) and red when bearish (below 50). Overbought and oversold zones (above 70 or below 30) may highlight exhaustion in volume-driven pushes. 2. Adjustment: Modify the RSI period in the settings to tailor responsiveness. 3. Reference Line: Use the dashed gray line at 50 as a core threshold for detecting transitions between buyer and seller dominance. How It Differs From Standard RSI The standard RSI uses changes in closing price to calculate market momentum. In contrast, this indicator calculates RSI using the average gains and losses of the delta volume , capturing underlying shifts in buying and selling activity—even when price is flat. This makes the Delta Volume RSI especially useful for identifying divergence between volume flow and price movement, potentially signaling strong accumulation/distribution or market reversals not visible on price-based RSI alone.
Indicatore Pine Script®
di destrobr0685
Quantum Market Analyzer X7Quantum Market Analyzer X7 - Complete Study Guide Table of Contents 1. Overview 2. Indicator Components 3. Signal Interpretation 4. Live Market Analysis Guide 5. Best Practices 6. Limitations and Considerations 7. Risk Disclaimer ________________________________________ Overview The Quantum Market Analyzer X7 is a comprehensive multi-timeframe technical analysis indicator that combines traditional and modern analytical methods. It aggregates signals from multiple technical indicators across seven key analysis categories to provide traders with a consolidated view of market sentiment and potential trading opportunities. Key Features: • Multi-Indicator Analysis: Combines 20+ technical indicators • Real-Time Dashboard: Professional interface with customizable display • Signal Aggregation: Weighted scoring system for overall market sentiment • Advanced Analytics: Includes Order Block detection, Supertrend, and Volume analysis • Visual Progress Indicators: Easy-to-read progress bars for signal strength ________________________________________ Indicator Components 1. Oscillators Section Purpose: Identifies overbought/oversold conditions and momentum changes Included Indicators: • RSI (14): Relative Strength Index - momentum oscillator • Stochastic (14): Compares closing price to price range • CCI (20): Commodity Channel Index - cycle identification • Williams %R (14): Momentum indicator similar to Stochastic • MACD (12,26,9): Moving Average Convergence Divergence • Momentum (10): Rate of price change • ROC (9): Rate of Change • Bollinger Bands (20,2): Volatility-based indicator Signal Interpretation: • Strong Buy (6+ points): Multiple oscillators indicate oversold conditions • Buy (2-5 points): Moderate bullish momentum • Neutral (-1 to 1 points): Balanced conditions • Sell (-2 to -5 points): Moderate bearish momentum • Strong Sell (-6+ points): Multiple oscillators indicate overbought conditions 2. Moving Averages Section Purpose: Determines trend direction and strength Included Indicators: • SMA: 10, 20, 50, 100, 200 periods • EMA: 10, 20, 50 periods Signal Logic: • Price >2% above MA = Strong Buy (+2) • Price above MA = Buy (+1) • Price below MA = Sell (-1) • Price >2% below MA = Strong Sell (-2) Signal Interpretation: • Strong Buy (6+ points): Price well above multiple MAs, strong uptrend • Buy (2-5 points): Price above most MAs, bullish trend • Neutral (-1 to 1 points): Mixed MA signals, consolidation • Sell (-2 to -5 points): Price below most MAs, bearish trend • Strong Sell (-6+ points): Price well below multiple MAs, strong downtrend 3. Order Block Analysis Purpose: Identifies institutional support/resistance levels and breakouts How It Works: • Detects historical levels where large orders were placed • Monitors price behavior around these levels • Identifies breakouts from established order blocks Signal Types: • BULLISH BRK (+2): Breakout above resistance order block • BEARISH BRK (-2): Breakdown below support order block • ABOVE SUP (+1): Price holding above support • BELOW RES (-1): Price rejected at resistance • NEUTRAL (0): No significant order block interaction 4. Supertrend Analysis Purpose: Trend following indicator based on Average True Range Parameters: • ATR Period: 10 (default) • ATR Multiplier: 6.0 (default) Signal Types: • BULLISH (+2): Price above Supertrend line • BEARISH (-2): Price below Supertrend line • NEUTRAL (0): Transition period 5. Trendline/Channel Analysis Purpose: Identifies trend channels and breakout patterns Components: • Dynamic trendline calculation using pivot points • Channel width based on historical volatility • Breakout detection algorithm Signal Types: • UPPER BRK (+2): Breakout above upper channel • LOWER BRK (-2): Breakdown below lower channel • ABOVE MID (+1): Price above channel midline • BELOW MID (-1): Price below channel midline 6. Volume Analysis Purpose: Confirms price movements with volume data Components: • Volume spikes detection • On Balance Volume (OBV) • Volume Price Trend (VPT) • Money Flow Index (MFI) • Accumulation/Distribution Line Signal Calculation: Multiple volume indicators are combined to determine institutional activity and confirm price movements. ________________________________________ Signal Interpretation Overall Summary Signals The indicator aggregates all component signals into an overall market sentiment: Signal Score Range Interpretation Action STRONG BUY 10+ Overwhelming bullish consensus Consider long positions BUY 4-9 Moderate to strong bullish bias Look for long opportunities NEUTRAL -3 to 3 Mixed signals, consolidation Wait for clearer direction SELL -4 to -9 Moderate to strong bearish bias Look for short opportunities STRONG SELL -10+ Overwhelming bearish consensus Consider short positions Progress Bar Interpretation • Filled bars indicate signal strength • Green bars: Bullish signals • Red bars: Bearish signals • More filled bars = stronger conviction ________________________________________ Live Market Analysis Guide Step 1: Initial Assessment 1. Check Overall Summary: Start with the main signal 2. Verify with Component Analysis: Ensure signals align 3. Look for Divergences: Identify conflicting signals Step 2: Timeframe Analysis 1. Set Appropriate Timeframe: Use 1H for intraday, 4H/1D for swing trading 2. Multi-Timeframe Confirmation: Check higher timeframes for trend context 3. Entry Timing: Use lower timeframes for precise entry points Step 3: Signal Confirmation Process. For Buy Signals: 1. Oscillators: Look for oversold conditions (RSI <30, Stoch <20) 2. Moving Averages: Price should be above key MAs 3. Order Blocks: Confirm bounce from support levels 4. Volume: Check for accumulation patterns 5. Supertrend: Ensure bullish trend alignment. For Sell Signals: 1. Oscillators: Look for overbought conditions (RSI >70, Stoch >80) 2. Moving Averages: Price should be below key MAs 3. Order Blocks: Confirm rejection at resistance levels 4. Volume: Check for distribution patterns 5. Supertrend: Ensure bearish trend alignment. Step 4: Risk Management Integration 1. Signal Strength Assessment: Stronger signals = larger position size 2. Stop Loss Placement: Use Order Block levels for stops 3. Take Profit Targets: Based on channel analysis and resistance levels 4. Position Sizing: Adjust based on signal confidence ________________________________________ Best Practices Entry Strategies 1. High Conviction Entries: Wait for STRONG BUY/SELL signals 2. Confluence Trading: Look for multiple components aligning 3. Breakout Trading: Use Order Block and Trendline breakouts 4. Trend Following: Align with Supertrend direction. Risk Management 1. Never Risk More Than 2% Per Trade: Regardless of signal strength 2. Use Stop Losses: Place at invalidation levels 3. Scale Positions: Stronger signals warrant larger (but still controlled) positions 4. Diversification: Don't rely solely on one indicator. Market Conditions 1. Trending Markets: Focus on Supertrend and MA signals 2. Range-Bound Markets: Emphasize Oscillator and Order Block signals 3. High Volatility: Reduce position sizes, widen stops 4. Low Volume: Be cautious of breakout signals. Common Mistakes to Avoid 1. Signal Chasing: Don't enter after signals have already moved significantly 2. Ignoring Context: Consider overall market conditions 3. Overtrading: Wait for high-quality setups 4. Poor Risk Management: Always use appropriate position sizing ________________________________________ Limitations and Considerations Technical Limitations 1. Lagging Nature: All technical indicators are based on historical data 2. False Signals: No indicator is 100% accurate 3. Market Regime Changes: Indicators may perform differently in various market conditions 4. Whipsaws: Possible in choppy, sideways markets. Optimal Use Cases 1. Trending Markets: Performs best in clear trending environments 2. Medium to High Volatility: Requires sufficient price movement for signals 3. Liquid Markets: Works best with adequate volume and tight spreads 4. Multiple Timeframe Analysis: Most effective when used across different timeframes. When to Use Caution 1. Major News Events: Fundamental analysis may override technical signals 2. Market Opens/Closes: Higher volatility can create false signals 3. Low Volume Periods: Signals may be less reliable 4. Holiday Trading: Reduced participation affects signal quality ________________________________________ Risk Disclaimer IMPORTANT LEGAL DISCLAIMER FROM aiTrendview WARNING: TRADING INVOLVES SUBSTANTIAL RISK OF LOSS This Quantum Market Analyzer X7 indicator ("the Indicator") is provided for educational and informational purposes only. By using this indicator, you acknowledge and agree to the following terms: No Investment Advice • The Indicator does NOT constitute investment advice, financial advice, or trading recommendations • All signals generated are based on historical price data and mathematical calculations • Past performance does not guarantee future results • No representation is made that any account will achieve profits or losses similar to those shown. Risk Acknowledgment • TRADING CARRIES SUBSTANTIAL RISK: You may lose some or all of your invested capital • LEVERAGE AMPLIFIES RISK: Margin trading can result in losses exceeding your initial investment • MARKET VOLATILITY: Financial markets are inherently unpredictable and volatile • TECHNICAL ANALYSIS LIMITATIONS: No technical indicator is infallible or guarantees profitable trades. User Responsibility • YOU ARE SOLELY RESPONSIBLE for all trading decisions and their consequences • CONDUCT YOUR OWN RESEARCH: Always perform independent analysis before making trading decisions • CONSULT PROFESSIONALS: Seek advice from qualified financial advisors • RISK MANAGEMENT: Implement appropriate risk management strategies No Warranties • The Indicator is provided "AS IS" without warranties of any kind • aiTrendview makes no representations about the accuracy, reliability, or suitability of the Indicator • Technical glitches, data feed issues, or calculation errors may occur • The Indicator may not work as expected in all market conditions. Limitation of Liability • aiTrendview SHALL NOT BE LIABLE for any direct, indirect, incidental, or consequential damages • This includes but is not limited to: trading losses, missed opportunities, data inaccuracies, or system failures • MAXIMUM LIABILITY is limited to the amount paid for the indicator (if any) Code Usage and Distribution • This indicator is published on TradingView in accordance with TradingView's house rules • UNAUTHORIZED MODIFICATION or redistribution of this code is prohibited • Users may not claim ownership of this intellectual property • Commercial use requires explicit written permission from aiTrendview. Compliance and Regulations • VERIFY LOCAL REGULATIONS: Ensure compliance with your jurisdiction's trading laws • Some trading strategies may not be suitable for all investors • Tax implications of trading are your responsibility • Report trading activities as required by law Specific Risk Factors 1. False Signals: The Indicator may generate incorrect buy/sell signals 2. Market Gaps: Overnight gaps can invalidate technical analysis 3. Fundamental Events: News and economic data can override technical signals 4. Liquidity Risk: Some markets may have insufficient liquidity 5. Technology Risk: Platform failures or connectivity issues may prevent order execution. Professional Trading Warning • THIS IS NOT PROFESSIONAL TRADING SOFTWARE: Not intended for institutional or professional trading • NO REGULATORY APPROVAL: This indicator has not been approved by any financial regulatory authority • EDUCATIONAL PURPOSE: Designed primarily for learning technical analysis concepts FINAL WARNING NEVER INVEST MONEY YOU CANNOT AFFORD TO LOSE Trading financial instruments involves significant risk. The majority of retail traders lose money. Before using this indicator in live trading: 1. Practice on paper/demo accounts extensively 2. Start with small position sizes 3. Develop a comprehensive trading plan 4. Implement strict risk management rules 5. Continuously educate yourself about market dynamics By using the Quantum Market Analyzer X7, you acknowledge that you have read, understood, and agree to this disclaimer. You assume full responsibility for all trading decisions and their outcomes. Contact: For questions about this disclaimer or the indicator, contact aiTrendview through official TradingView channels only. ________________________________________ This study guide and indicator are published on TradingView in compliance with TradingView's community guidelines and house rules. All users must adhere to TradingView's terms of service when using this indicator. Document Version: 1.0 Publisher: aiTrendview ________________________________________ Disclaimer The content provided in this blog post is for educational and training purposes only. It is not intended to be, and should not be construed as, financial, investment, or trading advice. All charting and technical analysis examples are for illustrative purposes. Trading and investing in financial markets involve substantial risk of loss and are not suitable for every individual. Before making any financial decisions, you should consult with a qualified financial professional to assess your personal financial situation.
Indicatore Pine Script®
di aiTrendview-Charting-System
O'Neil Market TimingBill O'Neil Market Timing Indicator - User Guide Overview This Pine Script indicator implements William O'Neil's market timing methodology, which assigns one of four distinct states to a market index (such as SPY or QQQ) to help traders identify optimal market conditions for investing. The indicator is designed to work exclusively on Daily timeframe charts. The Four Market States The indicator tracks the market through four distinct states, with specific transition rules between them: 1. Confirmed Uptrend (Green) - Meaning: The market is in a healthy uptrend with institutional support - Action: Favorable conditions for building positions in leading stocks - Can transition to: State 2 (Uptrend Under Pressure) 2. Uptrend Under Pressure (Yellow) - Meaning: The uptrend is showing signs of weakness with increasing distribution - Action: Be cautious, tighten stops, reduce position sizes - Can transition to: State 1 (Confirmed Uptrend) or State 3 (Downtrend) 3. Downtrend (Red) - Meaning: The market is in a confirmed downtrend - Action: Stay mostly in cash, avoid new purchases - Can transition to: State 4 (Rally Attempt) 4. Rally Attempt (Pink/Fuchsia) - Meaning: The market is attempting to bottom and reverse - Action: Watch for Follow-Through Day to confirm new uptrend - Can transition to: State 1 (Confirmed Uptrend) or State 3 (Downtrend) Key Concepts Distribution Day A distribution day occurs when: 1. The index closes down by more than the critical percentage (default 0.2%) 2. Volume is higher than the previous day's volume Distribution days indicate institutional selling and are marked with red triangles on the indicator. Follow-Through Day A follow-through day occurs during a Rally Attempt when: 1. The index closes up by more than the critical percentage (default 1.6%) 2. Volume is higher than the previous day's volume A Follow-Through Day confirms a new uptrend and triggers the transition from Rally Attempt to Confirmed Uptrend. State Transition Logic Valid Transitions The system only allows specific transitions: - 1 → 2: When distribution days reach the "pressure number" (default 5) within the lookback period (default 25 bars) - 2 → 1: When distribution days drop below the pressure number - 2 → 3: When distribution days reach "downtrend number" (default 7) AND price drops by "downtrend criterion" (default 6%) from the lookback high - 3 → 4: When the market doesn't make a new low for 3 consecutive days - 4 → 3: When a new low is made, undercutting the downtrend low - 4 → 1: When a Follow-Through Day occurs during the Rally Attempt Input Parameters Distribution Day Parameters - Distribution Day % Threshold (default 0.2%, range 0.1-2.0%) - Minimum percentage decline required to qualify as a distribution day. While 0.2% seems to be the canonical number I see in literature about this, I use a much higher threshold (at least 0.5%) Follow-Through Day Parameters - Follow-Through Day % Threshold (default 1.6%, range 1.0-2.0%) - Minimum percentage gain required to qualify as a follow-through day ### State Transition Parameters - Pressure Number (default 5, range 3-6) - Number of distribution days needed to transition from Confirmed Uptrend to Uptrend Under Pressure - Lookback Period (default 25 bars, range 20-30) - Number of days to count distribution days - Downtrend Number (default 7, range 4-10) - Number of distribution days needed (with price drop) to transition to Downtrend - Downtrend % Drop from High (default 6%, range 5-10%) - Percentage drop from lookback high required for downtrend confirmation Visual Settings - Color customization for each state - Table position selection (Top Left, Top Right, Bottom Left, Bottom Right) ## How to Use This Indicator ### Installation 1. Open TradingView and navigate to SPY or QQQ (or another major index) 2. **Important**: Switch to the Daily (1D) timeframe 3. Click on "Indicators" at the top of the chart 4. Click "Pine Editor" at the bottom of the screen 5. Copy and paste the Pine Script code 6. Click "Add to Chart" ### Interpretation **When the indicator shows:** - **Green (State 1)**: Market is healthy - consider adding quality positions - **Yellow (State 2)**: Exercise caution - tighten stops, be selective - **Red (State 3)**: Defensive mode - preserve capital, avoid new buys - **Pink (State 4)**: Watch closely - prepare for potential Follow-Through Day ### The Information Table The table displays: - **Current State**: The current market condition - **Distribution Days**: Number of distribution days in the lookback period - **Lookback Period**: Number of bars being analyzed - **Rally Attempt Day**: (Only in State 4) Days into the current rally attempt ### Visual Elements 1. **State Line**: A stepped line showing the current state (1-4) 2. **Red Triangles**: Mark each distribution day 3. **Horizontal Reference Lines**: Dotted lines marking each state level 4. **Color-Coded Display**: The state line changes color based on the current market condition ## Trading Strategy Guidelines ### In Confirmed Uptrend (State 1) - Build positions in stocks breaking out of proper bases - Use normal position sizing - Focus on stocks showing institutional accumulation - Hold winners as long as they act properly ### In Uptrend Under Pressure (State 2) - Take partial profits in extended positions - Tighten stop losses - Be more selective with new entries - Reduce overall exposure ### In Downtrend (State 3) - Move to cash or maintain very light exposure - Avoid new purchases - Focus on preservation of capital - Use the time for research and watchlist building ### In Rally Attempt (State 4) - Stay mostly in cash but prepare - Build a watchlist of strong stocks - On Day 4+ of the rally attempt, watch for Follow-Through Day - If FTD occurs, begin cautiously adding positions ## Best Practices 1. **Use with Major Indices**: This indicator works best with SPY, QQQ, or other broad market indices 2. **Daily Timeframe Only**: The indicator is designed for daily bars - do not use on intraday timeframes 3. **Combine with Stock Analysis**: Use the market state as a filter for individual stock decisions 4. **Respect the Signals**: When the market enters Downtrend, reduce exposure regardless of individual stock setups 5. **Monitor Distribution Days**: Pay attention when distribution days accumulate - it's a warning sign 6. **Wait for Follow-Through**: Don't jump back in too early during Rally Attempt - wait for confirmation ## Alert Conditions The indicator includes built-in alert conditions for: - State changes (entering any of the four states) - Distribution Day detection - Follow-Through Day detection during Rally Attempt To set up alerts: 1. Click the "Alert" button while the indicator is on your chart 2. Select "O'Neil Market Timing" 3. Choose your desired alert condition 4. Configure notification preferences ## Customization Tips ### For More Sensitive Detection - Lower the "Pressure Number" to 3-4 - Lower the "Distribution Day % Threshold" to 0.15% - Reduce the "Downtrend Number" to 5-6 ### For More Conservative Detection - Raise the "Pressure Number" to 6 - Raise the "Distribution Day % Threshold" to 0.3-0.5% - Increase the "Downtrend Number" to 8-9 ### For Different Market Conditions - **Bull Market**: Consider slightly higher thresholds - **Bear Market**: Consider slightly lower thresholds - **Volatile Market**: May need to increase percentage thresholds ## Limitations and Considerations 1. **Not a Crystal Ball**: The indicator identifies conditions but doesn't predict the future 2. **False Signals**: Follow-Through Days can fail - use proper risk management 3. **Whipsaws Possible**: In choppy markets, the indicator may switch states frequently 4. **Confirmation Lag**: By design, there's a lag as the system waits for confirmation 5. **Works Best with Price Action**: Combine with your analysis of individual stocks ## Historical Context This methodology is based on William J. O'Neil's decades of market research, documented in books like "How to Make Money in Stocks" and through Investor's Business Daily. O'Neil's research showed that: - Most major market tops are preceded by accumulation of distribution days - Most successful rallies begin with a Follow-Through Day on Day 4-7 of a rally attempt - Identifying market state helps prevent buying during unfavorable conditions ## Troubleshooting **Problem**: Indicator shows "Initializing" - **Solution**: Let the chart load at least 5 bars to establish the initial state **Problem**: No distribution day markers appear - **Solution**: Verify you're on daily timeframe and check if volume data is available **Problem**: Table not visible - **Solution**: Check the table position setting and ensure it's not off-screen **Problem**: State seems to change too frequently - **Solution**: Increase the lookback period or adjust threshold parameters ## Support and Further Learning For deeper understanding of this methodology: - Read "How to Make Money in Stocks" by William J. O'Neil - Study Investor's Business Daily's "Market Pulse" - Review historical market tops and bottoms to see the pattern - Practice identifying distribution days and follow-through days manually ## Version History **Version 1.0** (November 2025) - Initial implementation - Four-state system with proper transitions - Distribution day detection and marking - Follow-through day detection - Customizable parameters - Information table display - Alert conditions --- ## Quick Reference Card | State | Number | Color | Action | |-------|--------|-------|--------| | Confirmed Uptrend | 1 | Green | Buy quality setups | | Uptrend Under Pressure | 2 | Yellow | Tighten stops, be selective | | Downtrend | 3 | Red | Cash position, no new buys | | Rally Attempt | 4 | Pink | Watch for Follow-Through Day | **Distribution Day**: Down > 0.2% on higher volume (red triangle) **Follow-Through Day**: Up > 1.6% on higher volume during Rally Attempt (triggers State 4→1) --- *Remember: This indicator is a tool to help identify market conditions. It should be used as part of a comprehensive trading strategy that includes proper risk management, position sizing, and individual stock analysis.* Also, I created this with the help of an AI coding framework, and I didn't exhaustively test it. I don't actually use this for my own trading, so it's quite possible that it's materially wrong, and that following this will lead to poor investment decisions.. This is "copy left" software, so feel free to alter this to your own tastes, and claim authorship.
Indicatore Pine Script®
di matthias
🎯 Wyckoff Order Block Entry System🎯 Wyckoff Order Block Entry System 📝 INDICATOR DESCRIPTION 🎯 Wyckoff Order Block Entry System Short Description: Professional institutional zone trading combined with Wyckoff methodology. Identifies high-probability entries where smart money meets classic price action patterns. Full Description: Wyckoff Order Block Entry System is a precision trading tool that combines two powerful concepts: Order Blocks - Institutional zones where large players place their orders Wyckoff Method - Classic price action patterns revealing smart money behavior 🎯 What Makes This Different? Unlike traditional indicators that flood your chart with signals, this system only triggers entries when BOTH conditions are met: Price enters an institutional Order Block zone (current timeframe OR higher timeframe) A Wyckoff pattern occurs (Spring, SOS, Upthrust, or SOW) This dual-confirmation approach ensures you're trading with institutional flow at optimal entry points. 📊 Key Features: ✅ Order Block Detection Automatically identifies institutional buying/selling zones Current timeframe order blocks (solid lines) Higher timeframe order blocks (dashed lines) for stronger zones Customizable strength and extension settings ✅ 4 Wyckoff Entry Patterns SPRING (Bullish Reversal): Fake breakdown below support → Quick recovery SOS (Sign of Strength): Strong bullish candle after accumulation UPTHRUST (Bearish Reversal): Fake breakout above resistance → Quick rejection SOW (Sign of Weakness): Strong bearish candle after distribution ✅ Clean Visual Design Minimalist approach - only essential information Color-coded zones (Green = Bullish, Red = Bearish, Cyan/Magenta = HTF) Clear entry signals with pattern type labels No chart clutter - focus on what matters ✅ Multi-Timeframe Analysis Integrates higher timeframe order blocks HTF signals marked with "+HTF" tag for extra confidence Fully customizable HTF selection (H1, H4, Daily, etc.) ✅ Smart Alerts Entry signal alerts (Long/Short) Order block formation alerts HTF order block alerts Customizable alert messages 💡 How To Use: Setup: Add indicator to your chart, configure HTF timeframe (default H1) Wait: Let order blocks form (green/red boxes appear) Watch: Price returns to order block zone Entry: Signal appears when Wyckoff pattern confirms Trade: Enter with the signal, stop below/above order block 📈 Best For: Forex pairs (all majors and crosses) Gold (XAUUSD) Crypto (BTC, ETH, etc.) Indices (SPX, NAS100, etc.) Stocks Commodities ⏱️ Recommended Timeframes: M15 for scalping M30 for day trading H1 for swing trading H4 for position trading 🎯 Win Rate Expectations: Current TF signals: 60-70% HTF signals (+HTF tag): 70-80% Spring/Upthrust patterns: Highest probability Works on ALL liquid markets ⚙️ Customizable Settings: Order block detection parameters HTF timeframe selection Wyckoff sensitivity (swing length, volume threshold) Zone extension duration Color schemes 📚 Trading Strategy: This indicator works best when: Trading in the direction of higher timeframe trend Using proper risk management (1-2% per trade) Placing stops just outside order block zones Taking profits at opposite order blocks Focusing on HTF signals for higher quality 🔒 Risk Management: Always use stop losses! Recommended placement: LONG: 10-20 pips below order block SHORT: 10-20 pips above order block Target: Minimum 1:2 risk/reward ratio 💎 Why Traders Love This System: "Finally, an indicator that doesn't spam my chart with useless signals!" - The quality-over-quantity approach means you only get high-probability setups. "The HTF order blocks changed my trading!" - Multi-timeframe analysis built-in removes the need for manual higher timeframe checks. "Wyckoff + Order Blocks = Perfect combination!" - Two proven concepts working together create powerful confluence. 📊 Universal Application: This system works on ANY liquid market with sufficient volume: ✅ Forex (EUR/USD, GBP/USD, USD/JPY, etc.) ✅ Commodities (Gold, Silver, Oil, etc.) ✅ Indices (S&P 500, NASDAQ, DAX, etc.) ✅ Cryptocurrencies (Bitcoin, Ethereum, etc.) ✅ Stocks (Large cap with good liquidity) 🎓 Educational Value: Beyond just signals, this indicator teaches you: How institutional traders think Where smart money places orders Classic Wyckoff accumulation/distribution patterns Multi-timeframe analysis techniques ⚡ Performance: Lightning-fast calculations No repainting Real-time signal generation Clean code, optimized for speed 🚀 Get Started: Add to your favorite chart Adjust HTF timeframe to match your trading style Wait for high-quality signals Trade with confidence Remember: Quality beats quantity. This system prioritizes precision over frequency. You might see 2-5 signals per day on M30 - and that's exactly the point. Each signal is carefully filtered for maximum probability. Ready to trade like institutions? 👉 Add this indicator to your chart now 👉 Configure your preferred HTF timeframe 👉 Start catching high-probability setups 👉 Trade smarter, not harder Questions or feedback? Drop a comment below! Found this useful? Hit that ⭐ button and share with fellow traders! Happy Trading! 🚀📈
Indicatore Pine Script®
di ThePipsMaker_
DCA Position vs Cash HoldingThis indicator visualizes the performance of a simulated dollar-cost averaging (DCA) strategy compared to simply holding cash. It models the cumulative position size and value of buying a fixed dollar amount of the asset per candle over a configurable lookback period. 🔍 What It Shows: Simulates buying $1 (or any amount) of the asset per candle Tracks the total units accumulated and their current market value Plots the difference between the DCA position value and total cash spent Highlights when DCA buyers are underwater — a potential contrarian buy zone 📈 How to Use: Values above zero indicate DCA outperformance vs cash Values below zero signal structural drawdown — often a high-conviction bulk-buy opportunity Use as a sentiment overlay to time discretionary adds or confirm regime shifts ⚙️ Inputs: Lookback Window: Number of candles used to simulate DCA accumulation DCA Amount: Dollar value purchased per candle This tool is ideal for traders seeking to quantify accumulation efficiency, identify cycle inflection points, and visualize sentiment-weighted cost basis dynamics.
Indicatore Pine Script®
di slopip
Algorithm Predator - ML-liteAlgorithm Predator - ML-lite This indicator combines four specialized trading agents with an adaptive multi-armed bandit selection system to identify high-probability trade setups. It is designed for swing and intraday traders who want systematic signal generation based on institutional order flow patterns , momentum exhaustion , liquidity dynamics , and statistical mean reversion . Core Architecture Why These Components Are Combined: The script addresses a fundamental challenge in algorithmic trading: no single detection method works consistently across all market conditions. By deploying four independent agents and using reinforcement learning algorithms to select or blend their outputs, the system adapts to changing market regimes without manual intervention. The Four Trading Agents 1. Spoofing Detector Agent 🎭 Detects iceberg orders through persistent volume at similar price levels over 5 bars Identifies spoofing patterns via asymmetric wick analysis (wicks exceeding 60% of bar range with volume >1.8× average) Monitors order clustering using simplified Hawkes process intensity tracking (exponential decay model) Signal Logic: Contrarian—fades false breakouts caused by institutional manipulation Best Markets: Consolidations, institutional trading windows, low-liquidity hours 2. Exhaustion Detector Agent ⚡ Calculates RSI divergence between price movement and momentum indicator over 5-bar window Detects VWAP exhaustion (price at 2σ bands with declining volume) Uses VPIN reversals (volume-based toxic flow dissipation) to identify momentum failure Signal Logic: Counter-trend—enters when momentum extreme shows weakness Best Markets: Trending markets reaching climax points, over-extended moves 3. Liquidity Void Detector Agent 💧 Measures Bollinger Band squeeze (width <60% of 50-period average) Identifies stop hunts via 20-bar high/low penetration with immediate reversal and volume spike Detects hidden liquidity absorption (volume >2× average with range <0.3× ATR) Signal Logic: Breakout anticipation—enters after liquidity grab but before main move Best Markets: Range-bound pre-breakout, volatility compression zones 4. Mean Reversion Agent 📊 Calculates price z-scores relative to 50-period SMA and standard deviation (triggers at ±2σ) Implements Ornstein-Uhlenbeck process scoring (mean-reverting stochastic model) Uses entropy analysis to detect algorithmic trading patterns (low entropy <0.25 = high predictability) Signal Logic: Statistical reversion—enters when price deviates significantly from statistical equilibrium Best Markets: Range-bound, low-volatility, algorithmically-dominated instruments Adaptive Selection: Multi-Armed Bandit System The script implements four reinforcement learning algorithms to dynamically select or blend agents based on performance: Thompson Sampling (Default - Recommended): Uses Bayesian inference with beta distributions (tracks alpha/beta parameters per agent) Balances exploration (trying underused agents) vs. exploitation (using proven winners) Each agent's win/loss history informs its selection probability Lite Approximation: Uses pseudo-random sampling from price/volume noise instead of true random number generation UCB1 (Upper Confidence Bound): Calculates confidence intervals using: average_reward + sqrt(2 × ln(total_pulls) / agent_pulls) Deterministic algorithm favoring agents with high uncertainty (potential upside) More conservative than Thompson Sampling Epsilon-Greedy: Exploits best-performing agent (1-ε)% of the time Explores randomly ε% of the time (default 10%, configurable 1-50%) Simple, transparent, easily tuned via epsilon parameter Gradient Bandit: Uses softmax probability distribution over agent preference weights Updates weights via gradient ascent based on rewards Best for Blend mode where all agents contribute Selection Modes: Switch Mode: Uses only the selected agent's signal (clean, decisive) Blend Mode: Combines all agents using exponentially weighted confidence scores controlled by temperature parameter (smooth, diversified) Lock Agent Feature: Optional manual override to force one specific agent Useful after identifying which agent dominates your specific instrument Only applies in Switch mode Four choices: Spoofing Detector, Exhaustion Detector, Liquidity Void, Mean Reversion Memory System Dual-Layer Architecture: Short-Term Memory: Stores last 20 trade outcomes per agent (configurable 10-50) Long-Term Memory: Stores episode averages when short-term reaches transfer threshold (configurable 5-20 bars) Memory Boost Mechanism: Recent performance modulates agent scores by up to ±20% Episode Transfer: When an agent accumulates sufficient results, averages are condensed into long-term storage Persistence: Manual restoration of learned parameters via input fields (alpha, beta, weights, microstructure thresholds) How Memory Works: Agent generates signal → outcome tracked after 8 bars (performance horizon) Result stored in short-term memory (win = 1.0, loss = 0.0) Short-term average influences agent's future scores (positive feedback loop) After threshold met (default 10 results), episode averaged into long-term storage Long-term patterns (weighted 30%) + short-term patterns (weighted 70%) = total memory boost Market Microstructure Analysis These advanced metrics quantify institutional order flow dynamics: Order Flow Toxicity (Simplified VPIN): Measures buy/sell volume imbalance over 20 bars: |buy_vol - sell_vol| / (buy_vol + sell_vol) Detects informed trading activity (institutional players with non-public information) Values >0.4 indicate "toxic flow" (informed traders active) Lite Approximation: Uses simple open/close heuristic instead of tick-by-tick trade classification Price Impact Analysis (Simplified Kyle's Lambda): Measures market impact efficiency: |price_change_10| / sqrt(volume_sum_10) Low values = large orders with minimal price impact ( stealth accumulation ) High values = retail-dominated moves with high slippage Lite Approximation: Uses simplified denominator instead of regression-based signed order flow Market Randomness (Entropy Analysis): Counts unique price changes over 20 bars / 20 Measures market predictability High entropy (>0.6) = human-driven, chaotic price action Low entropy (<0.25) = algorithmic trading dominance (predictable patterns) Lite Approximation: Simple ratio instead of true Shannon entropy H(X) = -Σ p(x)·log₂(p(x)) Order Clustering (Simplified Hawkes Process): Tracks self-exciting event intensity (coordinated order activity) Decays at 0.9× per bar, spikes +1.0 when volume >1.5× average High intensity (>0.7) indicates clustering (potential spoofing/accumulation) Lite Approximation: Simple exponential decay instead of full λ(t) = μ + Σ α·exp(-β(t-tᵢ)) with MLE Signal Generation Process Multi-Stage Validation: Stage 1: Agent Scoring Each agent calculates internal score based on its detection criteria Scores must exceed agent-specific threshold (adjusted by sensitivity multiplier) Agent outputs: Signal direction (+1/-1/0) and Confidence level (0.0-1.0) Stage 2: Memory Boost Agent scores multiplied by memory boost factor (0.8-1.2 based on recent performance) Successful agents get amplified, failing agents get dampened Stage 3: Bandit Selection/Blending If Adaptive Mode ON: Switch: Bandit selects single best agent, uses only its signal Blend: All agents combined using softmax-weighted confidence scores If Adaptive Mode OFF: Traditional consensus voting with confidence-squared weighting Signal fires when consensus exceeds threshold (default 70%) Stage 4: Confirmation Filter Raw signal must repeat for consecutive bars (default 3, configurable 2-4) Minimum confidence threshold: 0.25 (25%) enforced regardless of mode Trend alignment check: Long signals require trend_score ≥ -2, Short signals require trend_score ≤ 2 Stage 5: Cooldown Enforcement Minimum bars between signals (default 10, configurable 5-15) Prevents over-trading during choppy conditions Stage 6: Performance Tracking After 8 bars (performance horizon), signal outcome evaluated Win = price moved in signal direction, Loss = price moved against Results fed back into memory and bandit statistics Trading Modes (Presets) Pre-configured parameter sets: Conservative: 85% consensus, 4 confirmations, 15-bar cooldown Expected: 60-70% win rate, 3-8 signals/week Best for: Swing trading, capital preservation, beginners Balanced: 70% consensus, 3 confirmations, 10-bar cooldown Expected: 55-65% win rate, 8-15 signals/week Best for: Day trading, most traders, general use Aggressive: 60% consensus, 2 confirmations, 5-bar cooldown Expected: 50-58% win rate, 15-30 signals/week Best for: Scalping, high-frequency trading, active management Elite: 75% consensus, 3 confirmations, 12-bar cooldown Expected: 58-68% win rate, 5-12 signals/week Best for: Selective trading, high-conviction setups Adaptive: 65% consensus, 2 confirmations, 8-bar cooldown Expected: Varies based on learning Best for: Experienced users leveraging bandit system How to Use 1. Initial Setup (5 Minutes): Select Trading Mode matching your style (start with Balanced) Enable Adaptive Learning (recommended for automatic agent selection) Choose Thompson Sampling algorithm (best all-around performance) Keep Microstructure Metrics enabled for liquid instruments (>100k daily volume) 2. Agent Tuning (Optional): Adjust Agent Sensitivity multipliers (0.5-2.0): <0.8 = Highly selective (fewer signals, higher quality) 0.9-1.2 = Balanced (recommended starting point) 1.3 = Aggressive (more signals, lower individual quality) Monitor dashboard for 20-30 signals to identify dominant agent If one agent consistently outperforms, consider using Lock Agent feature 3. Bandit Configuration (Advanced): Blend Temperature (0.1-2.0): 0.3 = Sharp decisions (best agent dominates) 0.5 = Balanced (default) 1.0+ = Smooth (equal weighting, democratic) Memory Decay (0.8-0.99): 0.90 = Fast adaptation (volatile markets) 0.95 = Balanced (most instruments) 0.97+ = Long memory (stable trends) 4. Signal Interpretation: Green triangle (▲): Long signal confirmed Red triangle (▼): Short signal confirmed Dashboard shows: Active agent (highlighted row with ► marker) Win rate per agent (green >60%, yellow 40-60%, red <40%) Confidence bars (█████ = maximum confidence) Memory size (short-term buffer count) Colored zones display: Entry level (current close) Stop-loss (1.5× ATR) Take-profit 1 (2.0× ATR) Take-profit 2 (3.5× ATR) 5. Risk Management: Never risk >1-2% per signal (use ATR-based stops) Signals are entry triggers, not complete strategies Combine with your own market context analysis Consider fundamental catalysts and news events Use "Confirming" status to prepare entries (not to enter early) 6. Memory Persistence (Optional): After 50-100 trades, check Memory Export Panel Record displayed alpha/beta/weight values for each agent Record VPIN and Kyle threshold values Enable "Restore From Memory" and input saved values to continue learning Useful when switching timeframes or restarting indicator Visual Components On-Chart Elements: Spectral Layers: EMA8 ± 0.5 ATR bands (dynamic support/resistance, colored by trend) Energy Radiance: Multi-layer glow boxes at signal points (intensity scales with confidence, configurable 1-5 layers) Probability Cones: Projected price paths with uncertainty wedges (15-bar projection, width = confidence × ATR) Connection Lines: Links sequential signals (solid = same direction continuation, dotted = reversal) Kill Zones: Risk/reward boxes showing entry, stop-loss, and dual take-profit targets Signal Markers: Triangle up/down at validated entry points Dashboard (Configurable Position & Size): Regime Indicator: 4-level trend classification (Strong Bull/Bear, Weak Bull/Bear) Mode Status: Shows active system (Adaptive Blend, Locked Agent, or Consensus) Agent Performance Table: Real-time win%, confidence, and memory stats Order Flow Metrics: Toxicity and impact indicators (when microstructure enabled) Signal Status: Current state (Long/Short/Confirming/Waiting) with confirmation progress Memory Panel (Configurable Position & Size): Live Parameter Export: Alpha, beta, and weight values per agent Adaptive Thresholds: Current VPIN sensitivity and Kyle threshold Save Reminder: Visual indicator if parameters should be recorded What Makes This Original This script's originality lies in three key innovations: 1. Genuine Meta-Learning Framework: Unlike traditional indicator mashups that simply display multiple signals, this implements authentic reinforcement learning (multi-armed bandits) to learn which detection method works best in current conditions. The Thompson Sampling implementation with beta distribution tracking (alpha for successes, beta for failures) is statistically rigorous and adapts continuously. This is not post-hoc optimization—it's real-time learning. 2. Episodic Memory Architecture with Transfer Learning: The dual-layer memory system mimics human learning patterns: Short-term memory captures recent performance (recency bias) Long-term memory preserves historical patterns (experience) Automatic transfer mechanism consolidates knowledge Memory boost creates positive feedback loops (successful strategies become stronger) This architecture allows the system to adapt without retraining , unlike static ML models that require batch updates. 3. Institutional Microstructure Integration: Combines retail-focused technical analysis (RSI, Bollinger Bands, VWAP) with institutional-grade microstructure metrics (VPIN, Kyle's Lambda, Hawkes processes) typically found in academic finance literature and professional trading systems, not standard retail platforms. While simplified for Pine Script constraints, these metrics provide insight into informed vs. uninformed trading , a dimension entirely absent from traditional technical analysis. Mashup Justification: The four agents are combined specifically for risk diversification across failure modes: Spoofing Detector: Prevents false breakout losses from manipulation Exhaustion Detector: Prevents chasing extended trends into reversals Liquidity Void: Exploits volatility compression (different regime than trending) Mean Reversion: Provides mathematical anchoring when patterns fail The bandit system ensures the optimal tool is automatically selected for each market situation, rather than requiring manual interpretation of conflicting signals. Why "ML-lite"? Simplifications and Approximations This is the "lite" version due to necessary simplifications for Pine Script execution: 1. Simplified VPIN Calculation: Academic Implementation: True VPIN uses volume bucketing (fixed-volume bars) and tick-by-tick buy/sell classification via Lee-Ready algorithm or exchange-provided trade direction flags This Implementation: 20-bar rolling window with simple open/close heuristic (close > open = buy volume) Impact: May misclassify volume during ranging/choppy markets; works best in directional moves 2. Pseudo-Random Sampling: Academic Implementation: Thompson Sampling requires true random number generation from beta distributions using inverse transform sampling or acceptance-rejection methods This Implementation: Deterministic pseudo-randomness derived from price and volume decimal digits: (close × 100 - floor(close × 100)) + (volume % 100) / 100 Impact: Not cryptographically random; may have subtle biases in specific price ranges; provides sufficient variation for agent selection 3. Hawkes Process Approximation: Academic Implementation: Full Hawkes process uses maximum likelihood estimation with exponential kernels: λ(t) = μ + Σ α·exp(-β(t-tᵢ)) fitted via iterative optimization This Implementation: Simple exponential decay (0.9 multiplier) with binary event triggers (volume spike = event) Impact: Captures self-exciting property but lacks parameter optimization; fixed decay rate may not suit all instruments 4. Kyle's Lambda Simplification: Academic Implementation: Estimated via regression of price impact on signed order flow over multiple time intervals: Δp = λ × Δv + ε This Implementation: Simplified ratio: price_change / sqrt(volume_sum) without proper signed order flow or regression Impact: Provides directional indicator of impact but not true market depth measurement; no statistical confidence intervals 5. Entropy Calculation: Academic Implementation: True Shannon entropy requires probability distribution: H(X) = -Σ p(x)·log₂(p(x)) where p(x) is probability of each price change magnitude This Implementation: Simple ratio of unique price changes to total observations (variety measure) Impact: Measures diversity but not true information entropy with probability weighting; less sensitive to distribution shape 6. Memory System Constraints: Full ML Implementation: Neural networks with backpropagation, experience replay buffers (storing state-action-reward tuples), gradient descent optimization, and eligibility traces This Implementation: Fixed-size array queues with simple averaging; no gradient-based learning, no state representation beyond raw scores Impact: Cannot learn complex non-linear patterns; limited to linear performance tracking 7. Limited Feature Engineering: Advanced Implementation: Dozens of engineered features, polynomial interactions (x², x³), dimensionality reduction (PCA, autoencoders), feature selection algorithms This Implementation: Raw agent scores and basic market metrics (RSI, ATR, volume ratio); minimal transformation Impact: May miss subtle cross-feature interactions; relies on agent-level intelligence rather than feature combinations 8. Single-Instrument Data: Full Implementation: Multi-asset correlation analysis (sector ETFs, currency pairs, volatility indices like VIX), lead-lag relationships, risk-on/risk-off regimes This Implementation: Only OHLCV data from displayed instrument Impact: Cannot incorporate broader market context; vulnerable to correlated moves across assets 9. Fixed Performance Horizon: Full Implementation: Adaptive horizon based on trade duration, volatility regime, or profit target achievement This Implementation: Fixed 8-bar evaluation window Impact: May evaluate too early in slow markets or too late in fast markets; one-size-fits-all approach Performance Impact Summary: These simplifications make the script: ✅ Faster: Executes in milliseconds vs. seconds (or minutes) for full academic implementations ✅ More Accessible: Runs on any TradingView plan without external data feeds, APIs, or compute servers ✅ More Transparent: All calculations visible in Pine Script (no black-box compiled models) ✅ Lower Resource Usage: <500 bars lookback, minimal memory footprint ⚠️ Less Precise: Approximations may reduce statistical edge by 5-15% vs. academic implementations ⚠️ Limited Scope: Cannot capture tick-level dynamics, multi-order-book interactions, or cross-asset flows ⚠️ Fixed Parameters: Some thresholds hardcoded rather than dynamically optimized When to Upgrade to Full Implementation: Consider professional Python/C++ versions with institutional data feeds if: Trading with >$100K capital where precision differences materially impact returns Operating in microsecond-competitive environments (HFT, market making) Requiring regulatory-grade audit trails and reproducibility Backtesting with tick-level precision for strategy validation Need true real-time adaptation with neural network-based learning For retail swing/day trading and position management, these approximations provide sufficient signal quality while maintaining usability, transparency, and accessibility. The core logic—multi-agent detection with adaptive selection—remains intact. Technical Notes All calculations use standard Pine Script built-in functions ( ta.ema, ta.atr, ta.rsi, ta.bb, ta.sma, ta.stdev, ta.vwap ) VPIN and Kyle's Lambda use simplified formulas optimized for OHLCV data (see "Lite" section above) Thompson Sampling uses pseudo-random noise from price/volume decimal digits for beta distribution sampling No repainting: All calculations use confirmed bar data (no forward-looking) Maximum lookback: 500 bars (set via max_bars_back parameter) Performance evaluation: 8-bar forward-looking window for reward calculation (clearly disclosed) Confidence threshold: Minimum 0.25 (25%) enforced on all signals Memory arrays: Dynamic sizing with FIFO queue management Limitations and Disclaimers Not Predictive: This indicator identifies patterns in historical data. It cannot predict future price movements with certainty. Requires Human Judgment: Signals are entry triggers, not complete trading strategies. Must be confirmed with your own analysis, risk management rules, and market context. Learning Period Required: The adaptive system requires 50-100 bars minimum to build statistically meaningful performance data for bandit algorithms. Overfitting Risk: Restoring memory parameters from one market regime to a drastically different regime (e.g., low volatility to high volatility) may cause poor initial performance until system re-adapts. Approximation Limitations: Simplified calculations (see "Lite" section) may underperform academic implementations by 5-15% in highly efficient markets. No Guarantee of Profit: Past performance, whether backtested or live-traded, does not guarantee future performance. All trading involves risk of loss. Forward-Looking Bias: Performance evaluation uses 8-bar forward window—this creates slight look-ahead for learning (though not for signals). Real-time performance may differ from indicator's internal statistics. Single-Instrument Limitation: Does not account for correlations with related assets or broader market regime changes. Recommended Settings Timeframe: 15-minute to 4-hour charts (sufficient volatility for ATR-based stops; adequate bar volume for learning) Assets: Liquid instruments with >100k daily volume (forex majors, large-cap stocks, BTC/ETH, major indices) Not Recommended: Illiquid small-caps, penny stocks, low-volume altcoins (microstructure metrics unreliable) Complementary Tools: Volume profile, order book depth, market breadth indicators, fundamental catalysts Position Sizing: Risk no more than 1-2% of capital per signal using ATR-based stop-loss Signal Filtering: Consider external confluence (support/resistance, trendlines, round numbers, session opens) Start With: Balanced mode, Thompson Sampling, Blend mode, default agent sensitivities (1.0) After 30+ Signals: Review agent win rates, consider increasing sensitivity of top performers or locking to dominant agent Alert Configuration The script includes built-in alert conditions: Long Signal: Fires when validated long entry confirmed Short Signal: Fires when validated short entry confirmed Alerts fire once per bar (after confirmation requirements met) Set alert to "Once Per Bar Close" for reliability Taking you to school. — Dskyz, Trade with insight. Trade with anticipation.
Indicatore Pine Script®
di DskyzInvestments
9
Indicator Overview主力籌碼預判買賣力道 (JUMBO)Pro+ 2.0主力預判買賣力道 Pro+ 是一個先進的多維度交易分析系統，專為台灣股市投資者設計。本指標整合了趨勢、成交量、動量、價格位置和波動率五大維度，通過加權評分系統生成綜合的「Power指標」，精準預判主力資金動向。 🔧 核心技術架構 1. 多維度評分系統 趨勢維度 (30%)：雙EMA系統 + MACD + ADX趨勢強度 成交量維度 (25%)：OBV能量潮 + 成交量比率分析 動量維度 (20%)：RSI + MFI資金流量指標 價格位置維度 (20%)：VWAP + 布林通道位置分析 波動率維度 (5%)：ATR波動率調整 2. 多重確認機制 趨勢確認：EMA金叉/死叉 + 超級趨勢方向 成交量確認：成交量脈衝檢測 + OBV趨勢確認 動量確認：RSI超買超賣 + MFI資金流向 位置確認：布林通道位置 + VWAP相對位置 📊 主要功能特色 訊號系統 主力佈局訊號 🟥 趨勢多頭確認 + Power > 35 成交量放大 + 動量指標多頭 RSI未超買 + 價格突破基準 主力出貨訊號 🟩 趨勢空頭確認 + Power < -35 成交量異常 + 動量指標空頭 RSI未超賣 + 價格跌破基準 Power交叉訊號 🟠🔵 黃金交叉：Power線向上穿越Power MA線 死亡交叉：Power線向下穿越Power MA線 視覺化系統 台灣股市顏色標準：紅色上漲/多頭，綠色下跌/空頭 多層級K線著色：強力訊號→普通訊號→偏多偏空→盤整 智能資訊面板：實時顯示8大關鍵指標狀態 ⚙️ 參數設定說明 主要參數 EMA週期：13/55（短期/長期） Power閾值：35（靈敏度調整） 成交量濾波：1.2倍（異常成交量檢測） 超級趨勢：10週期/3倍數（趨勢過濾） 進階參數 布林通道：20週期/2倍標準差 波動率設定：14週期ATR 動量指標：14週期RSI/MFI 🎯 交易應用策略 進場時機 強力買入：🔥標記 + Power黃金交叉 常規買入：紅色向上箭頭 + Power > 35 確認買入：多重條件同時滿足 出場時機 強力賣出：💧標記 + Power死亡交叉 常規賣出：綠色向下箭頭 + Power < -35 風險控制：趨勢反轉 + 動量減弱 風險管理 止損設定：ATR波動率參考 倉位控制：Power數值強度分級 訊號過濾：ADX趨勢強度確認 📈 指標優勢 高準確率：多重條件過濾，減少假訊號 及時性：領先指標預判主力動向 完整性：涵蓋技術分析主要維度 用戶友好：直觀的視覺化設計 自定義：參數可調適應不同交易風格 🎯 Indicator Overview Main Force Prediction Buying/Selling Strength Pro+ is an advanced multi-dimensional trading analysis system specifically designed for Taiwan stock market investors. This indicator integrates five key dimensions: trend, volume, momentum, price position, and volatility, generating a comprehensive "Power Indicator" through a weighted scoring system to accurately predict institutional fund movements. 🔧 Core Technical Architecture 1. Multi-Dimensional Scoring System Trend Dimension (30%): Dual EMA system + MACD + ADX trend strength Volume Dimension (25%): OBV accumulation + Volume ratio analysis Momentum Dimension (20%): RSI + MFI money flow index Price Position Dimension (20%): VWAP + Bollinger Bands position analysis Volatility Dimension (5%): ATR volatility adjustment 2. Multi-Confirmation Mechanism Trend Confirmation: EMA golden/death cross + SuperTrend direction Volume Confirmation: Volume spike detection + OBV trend confirmation Momentum Confirmation: RSI overbought/oversold + MFI money flow Position Confirmation: Bollinger Bands position + VWAP relative position 📊 Key Features Signal System Institutional Accumulation Signals 🟥 Bullish trend confirmation + Power > 35 Volume expansion + Momentum indicators bullish RSI not overbought + Price breakthrough baseline Institutional Distribution Signals 🟩 Bearish trend confirmation + Power < -35 Abnormal volume + Momentum indicators bearish RSI not oversold + Price breakdown below baseline Power Cross Signals 🟠🔵 Golden Cross: Power line crosses above Power MA line Death Cross: Power line crosses below Power MA line Visualization System Taiwan Market Color Standard: Red for uptrend/bullish, Green for downtrend/bearish Multi-level Candlestick Coloring: Strong signals → Regular signals → Bias signals → Consolidation Smart Info Panel: Real-time display of 8 key indicator statuses ⚙️ Parameter Settings Main Parameters EMA Periods: 13/55 (Short-term/Long-term) Power Threshold: 35 (Sensitivity adjustment) Volume Filter: 1.2x (Abnormal volume detection) SuperTrend: 10 period/3 multiplier (Trend filtering) Advanced Parameters Bollinger Bands: 20 period/2 standard deviations Volatility Settings: 14 period ATR Momentum Indicators: 14 period RSI/MFI 🎯 Trading Application Strategies Entry Timing Strong Buy: 🔥 Mark + Power Golden Cross Regular Buy: Red upward arrow + Power > 35 Confirmed Buy: Multiple conditions simultaneously met Exit Timing Strong Sell: 💧 Mark + Power Death Cross Regular Sell: Green downward arrow + Power < -35 Risk Control: Trend reversal + Momentum weakening Risk Management Stop Loss Setting: ATR volatility reference Position Sizing: Power value strength grading Signal Filtering: ADX trend strength confirmation 📈 Indicator Advantages High Accuracy: Multiple condition filtering reduces false signals Timeliness: Leading indicators predict institutional movements Completeness: Covers main dimensions of technical analysis User-Friendly: Intuitive visualization design Customizable: Adjustable parameters adapt to different trading styles 🔍 Professional Usage Tips Trend Confirmation: Use in conjunction with major trend direction Volume Validation: Ensure volume confirms price movements Risk Management: Always use appropriate position sizing Timeframe Analysis: Apply across multiple timeframes for confirmation Market Context: Consider overall market conditions and sector rotation 版本: Pro+ 2.0 適用市場: 台股、亞股、全球股市 最佳時間框架: 日線、4小時線、1小時線 開發者: JUMBO Trading System 更新日期: 2025版本
Indicatore Pine Script®
di jumbozip
Quantura - Supply & Demand Zone DetectionIntroduction “Quantura – Supply & Demand Zone Detection” is an advanced indicator designed to automatically detect and visualize institutional supply and demand zones, as well as breaker blocks, directly on the chart. The tool helps traders identify key areas of market imbalance and potential reversal or continuation zones, based on price structure, volume, and ATR dynamics. Originality & Value This indicator provides a unique and adaptive method of zone detection that goes beyond simple pivot or candle-based logic. It merges multiple layers of confirmation—volume sensitivity, ATR filters, and swing structure—while dynamically tracking how zones evolve as the market progresses. Unlike traditional supply and demand indicators, this script also detects and plots Breaker Zones when previous imbalances are violated, giving traders an extra layer of market context. The key values of this tool include: Automated detection of high-probability supply and demand zones. Integration of both volume and ATR filters for precision and adaptability. Dynamic zone merging and updating based on price evolution. Identification of breaker blocks (invalidated zones) to visualize market structure shifts. Optional bullish and bearish trade signals when zones are retested. Clear, visually optimized plotting for efficient chart interpretation. Functionality & Core Logic The indicator continuously scans recent price data for swing highs/lows and combines them with optional volume and ATR conditions to validate potential zones. Demand Zones are formed when price action indicates accumulation or a strong bullish rejection from a low area. Supply Zones are created when distribution or strong bearish rejection occurs near local highs. Breaker Blocks appear when existing zones are invalidated by price, helping traders visualize potential market structure shifts. Bullish and bearish signals appear when price re-enters an active zone or breaks through a breaker block. Parameters & Customization Demand Zones / Supply Zones: Enable or disable each individually. Breaker Zones: Activate breaker block detection for invalidated zones. Volume Filter: Optional filter to only confirm zones when volume exceeds its long-term average by a user-defined multiplier. ATR Filter: Optional filter for volatility confirmation, ensuring zones form under strong momentum conditions. Swing Length: Controls the number of bars used to detect structural pivots. Sensitivity Controls: Adjustable ATR and volume multipliers to fine-tune detection responsiveness. Signals: Toggle for on-chart bullish (▲) and bearish (▼) signal plotting when price interacts with zones. Color Customization: User-defined bullish and bearish colors for both standard and breaker zones. Core Calculations Zones are detected using pivot highs and lows with a defined lookback and lookahead period. Additional filters apply if ATR and volume are enabled, requiring conditions like “ATR > average * multiplier” and “Volume > average * multiplier.” Detected zones are merged if overlapping, keeping the chart clean and logical. When price breaks through a zone, the original box is closed, and a new breaker zone is plotted automatically. Bullish and bearish markers appear when zones are retested from the opposite side. Visualization & Display Demand zones are shaded in semi-transparent bullish color (default: blue). Supply zones are shaded in semi-transparent bearish color (default: red). Breaker zones appear when previous imbalances are broken, helping to spot structural shifts. Optional arrows (▲ / ▼) indicate potential buy or sell reactions on zone interaction. Use Cases Identify institutional areas of accumulation (demand) or distribution (supply). Detect potential breakout traps and market structure shifts using breaker zones. Combine with other tools such as volume profile, EMA, or liquidity indicators for deeper confirmation. Observe retests and reactions of zones to anticipate possible reversals or continuations. Apply multi-timeframe analysis to align higher timeframe zones with lower timeframe entries. Limitations & Recommendations The indicator does not predict future price movement; it highlights structural imbalances only. Performance depends on chosen swing length and sensitivity—users should optimize parameters for each market. Works best in volatile markets where supply and demand imbalances are clearly expressed. Should be used as part of a broader trading framework, not as a standalone signal generator. Markets & Timeframes The “Quantura – Supply & Demand Zone Detection” indicator is suitable for all asset classes including cryptocurrencies, Forex, indices, commodities, and equities. It performs reliably across multiple timeframes, from intraday scalping to higher timeframe swing analysis. Author & Access Developed 100% by Quantura. Published as a Open-source script indicator. Access is free. Important This description complies with TradingView’s Script Publishing and House Rules. It clearly explains the indicator’s originality, underlying logic, functionality, and intended use without unrealistic claims or performance guarantees.
Indicatore Pine Script®
di Quantura
2
Smart Flow Tracker [The_lurker] Smart Flow Tracker (SFT): Advanced Order Flow Tracking Indicator Overview Smart Flow Tracker (SFT) is an advanced indicator designed for real-time tracking and analysis of order flows. It focuses on detecting institutional patterns, massive orders, and potential reversals through analysis of lower timeframes (Lower Timeframe) or live ticks. It provides deep insights into market behavior using a multi-layered intelligent detection system and a clear visual interface, giving traders a competitive edge. SFT focuses on trade volumes, directions, and frequencies to uncover unusual activity that may indicate institutional intervention, massive orders, or manipulation attempts (traps). Indicator Operation Levels SFT operates on three main levels: 1. Microscopic Monitoring: Tracks every trade at precise timeframes (down to one second), providing visibility not available in standard timeframes. 2. Advanced Statistical Analysis: Calculates averages, deviations, patterns, and anomalies using precise mathematical algorithms. 3. Behavioral Artificial Intelligence: Recognizes behavioral patterns such as hidden institutional accumulation, manipulation attempts and traps, and potential reversal points. Key Features SFT features a set of advanced functions to enhance the trader's experience: 1. Intelligent Order Classification System: Classifies orders into six categories based on size and pattern: - Standard: Normal orders with typical size. - Significant 💎: Orders larger than average by 1.5 times. - Major 🔥: Orders larger than average by 2.5 times. - Massive 🐋: Orders larger than average by 3 times. - Institutional 🏛️: Consistent patterns indicating institutional activity. - Reversal 🔄: Large orders indicating direction change. - Trap ⚠️: Patterns that may be price traps. 2. Institutional Patterns Detection: Tracks sequences of similar-sized orders, detects organized institutional activity, and is customizable (number of trades, variance ratio). 3. Reversals Detection: Compares recent flows with previous ones, detects direction shifts from up to down or vice versa, and operates only on large orders (Major/Massive/Institutional). 4. Traps Detection: Identifies sequences of large orders in one direction, followed by an institutional order in the opposite direction, with early alerts for false moves. 5. Flow Delta Bar: Displays the difference between buy and sell volumes as a percentage for balance, with instant updates per trade. 6. Dynamic Statistics Panel: Displays overall buy and sell ratios with real-time updates and interactive colors. How It Works and Understanding SFT relies on logical sequential stages for data processing: A. Data Collection: Uses the `request.security_lower_tf()` function to extract data from a lower timeframe (like 1S) even on a higher timeframe (like 5D). For each time unit, it calculates: - Adjusted Volume: Either normal volume or "price-weighted volume" (hlc3 * volume) based on user choice. - Trade Direction: Compared to previous close (rise → buy, fall → sell). B. Building Temporary Memory: Maintains a dynamic list (sizeHistory) of the last 100 trade sizes, continuously calculating the moving average (meanSize). C. Intelligent Classification: Compares each new trade to the average: - > 1.5 × average → Significant. - > 2.5 × average → Major. - > 3.0 × average → Massive. - Institutional Patterns Check: A certain number of trades (e.g., 5) with a specified variance ratio (±5%) → Institutional. D. Advanced Detection: - Reversal: Compares buy/sell totals in two consecutive periods. - Trap: Sequence of large trades in one direction followed by an opposite institutional trade. E. Display and Alerts: Results displayed in an automatically updated table, with option to enable alerts for notable events. Settings (Fully Customizable) SFT offers extensive options to adapt to the trader's needs: A. Display Settings: - Language: English / Arabic. - Table Position: 9 options (e.g., Top Right, Middle Right, Bottom Left). - Display Size: Tiny / Small / Normal / Large. - Max Rows: 10–100. - Enable Flow Delta Bar: Yes / No. - Enable Statistics Panel: Yes / No (displays buy/sell % ratio). B.- Technical Settings: - Data Source: Lower Timeframe / Live Tick (simulation). - Timeframe: Optional (e.g., 1S, 5S, 1). - Calculation Type: Volume / Price Volume. C. Intelligent Detection System: - Enable Institutional Patterns Detection. - Pattern Length: 3–20 trades. - Allowed Variance Ratio: 1%–20%. - Massive Orders Detection Factor: 2.0–10.0. D. Classification Criteria: - Significant Orders Factor: 1.2–3.0. - Major Orders Factor: 2.0–5.0. E. **Advanced Detection**: - Enable Reversals Detection (with review period). - Enable Traps Detection (with minimum sequence limit). F. Alerts System: - Enable for each type: Massive orders, institutional patterns, reversals, traps, severe imbalance (60%–90%). G. Color System: Manual customization for each category: - Standard Buy 🟢: Dark gray green. - Standard Sell 🔴: Dark gray red. - Significant Buy 🟢: Medium green. - Significant Sell 🔴: Medium red. - Major Orders 🟣: Purple. - Massive Orders 🟠: Orange. - Institutional 🟦: Sky blue. - Reversal 🔵: Blue. - Trap 🟣: Pink-purple. Target Audiences SFT benefits a wide range of traders and investors: 1. Scalpers: Instant detection of large orders, liquidity points identification, avoiding traps in critical moments. 2. Day Traders: Tracking smart money footprint, determining real session direction, early reversals detection. 3. Swing Traders: Confirming trend strength, detecting institutional accumulation/distribution, identifying optimal entry points. 4. Investors: Understanding true market sentiments, avoiding entry at false peaks, identifying real value zones. ⚠️ Disclaimer: This indicator is for educational and analytical purposes only. It does not constitute financial, investment, or trading advice. Use it in conjunction with your own strategy and risk management. Neither TradingView nor the developer is liable for any financial decisions or losses. Smart Flow Tracker (SFT): مؤشر متقدم لتتبع تدفقات الأوامر نظرة عامة Smart Flow Tracker (SFT) مؤشر متقدم مصمم لتتبع وتحليل تدفقات الأوامر في الوقت الفعلي. يركز على كشف الأنماط المؤسسية، الأوامر الضخمة، والانعكاسات المحتملة من خلال تحليل الأطر الزمنية الأقل (Lower Timeframe) أو التيك الحي. يوفر رؤية عميقة لسلوك السوق باستخدام نظام كشف ذكي متعدد الطبقات وواجهة مرئية واضحة، مما يمنح المتداولين ميزة تنافسية. يركز SFT على حجم الصفقات، اتجاهها، وتكرارها لكشف النشاط غير العادي الذي قد يشير إلى تدخل مؤسسات، أوامر ضخمة، أو محاولات تلاعب (فخاخ). مستويات عمل المؤشر يعمل SFT على ثلاثة مستويات رئيسية: 1. المراقبة المجهرية: يتتبع كل صفقة على مستوى الأطر الزمنية الدقيقة (حتى الثانية الواحدة)، مما يوفر رؤية غير متوفرة في الأطر الزمنية العادية. 2. التحليل الإحصائي المتقدم: يحسب المتوسطات، الانحرافات، الأنماط، والشذوذات باستخدام خوارزميات رياضية دقيقة. 3. الذكاء الاصطناعي السلوكي: يتعرف على أنماط سلوكية مثل التراكم المؤسسي المخفي، محاولات التلاعب والفخاخ، ونقاط الانعكاس المحتملة. الميزات الرئيسية يتميز SFT بمجموعة من الوظائف المتقدمة لتحسين تجربة المتداول: 1. نظام تصنيف الأوامر الذكي: يصنف الأوامر إلى ست فئات بناءً على الحجم والنمط: - Standard (قياسي)**: أوامر عادية بحجم طبيعي. - Significant 💎 (مهم)**: أوامر أكبر من المتوسط بـ1.5 ضعف. - Major 🔥 (كبير)**: أوامر أكبر من المتوسط بـ2.5 ضعف. - Massive 🐋 (ضخم)**: أوامر أكبر من المتوسط بـ3 أضعاف. - Institutional 🏛️ (مؤسسي)**: أنماط متسقة تشير إلى نشاط مؤسسي. - Reversal 🔄 (انعكاس)**: أوامر كبيرة تشير إلى تغيير اتجاه. - Trap ⚠️ (فخ)**: أنماط قد تكون فخاخًا سعرية. 2. كشف الأنماط المؤسسية: يتتبع تسلسل الأوامر المتشابهة في الحجم، يكشف النشاط المؤسسي المنظم، وقابل للتخصيص (عدد الصفقات، نسبة التباين). 3. كشف الانعكاسات: يقارن التدفقات الأخيرة بالسابقة، يكشف تحول الاتجاه من صعود إلى هبوط أو العكس، ويعمل فقط على الأوامر الكبيرة (Major/Massive/Institutional). 4. كشف الفخاخ: يحدد تسلسل أوامر كبيرة في اتجاه واحد، يليها أمر مؤسسي في الاتجاه المعاكس، مع تنبيه مبكر للحركات الكاذبة. 5. شريط دلتا التدفق: يعرض الفرق بين حجم الشراء والبيع كنسبة مئوية للتوازن، مع تحديث فوري لكل صفقة. 6. لوحة إحصائيات ديناميكية: تعرض نسبة الشراء والبيع الإجمالية مع تحديث لحظي وألوان تفاعلية. طريقة العمل والفهم يعتمد SFT على مراحل منطقية متسلسلة لمعالجة البيانات: أ. جمع البيانات: يستخدم دالة `request.security_lower_tf()` لاستخراج بيانات من إطار زمني أدنى (مثل 1S) حتى على إطار زمني أعلى (مثل 5D). لكل وحدة زمنية، يحسب: - الحجم المعدّل: إما الحجم العادي (volume) أو "الحجم المرجّح بالسعر" (hlc3 * volume) حسب الاختيار. - اتجاه الصفقة: مقارنة الإغلاق الحالي بالسابق (ارتفاع → شراء، انخفاض → بيع). ب. بناء الذاكرة المؤقتة: يحتفظ بقائمة ديناميكية (sizeHistory) لآخر 100 حجم صفقة، ويحسب المتوسط المتحرك (meanSize) باستمرار. ج. التصنيف الذكي: يقارن كل صفقة جديدة بالمتوسط: - > 1.5 × المتوسط → Significant. - > 2.5 × المتوسط → Major. - > 3.0 × المتوسط → Massive. - فحص الأنماط المؤسسية: عدد معين من الصفقات (مثل 5) بنسبة تباين محددة (±5%) → Institutional. د. الكشف المتقدم: - الانعكاس: مقارنة مجموع الشراء/البيع في فترتين متتاليتين. - الفخ: تسلسل صفقات كبيرة في اتجاه واحد يتبعها صفقة مؤسسية معاكسة. هـ. العرض والتنبيه: عرض النتائج في جدول محدّث تلقائيًا، مع إمكانية تفعيل تنبيهات للأحداث المميزة. لإعدادات (قابلة للتخصيص بالكامل) يوفر SFT خيارات واسعة للتكييف مع احتياجات المتداول: أ. إعدادات العرض: - اللغة: English / العربية. - موقع الجدول: 9 خيارات (مثل Top Right, Middle Right, Bottom Left). - حجم العرض: Tiny / Small / Normal / Large. - الحد الأقصى للصفوف: 10–100. - تفعيل شريط دلتا التدفق: نعم / لا. - تفعيل لوحة الإحصائيات: نعم / لا (تعرض نسبة الشراء/البيع %). ب. الإعدادات التقنية: - مصدر البيانات: Lower Timeframe / Live Tick (محاكاة). - الإطار الزمني: اختياري (مثل 1S, 5S, 1). - نوع الحساب: Volume / Price Volume. ج. نظام الكشف الذكي: - تفعيل كشف الأنماط المؤسسية. - طول النمط: 3–20 صفقة. - نسبة التباين: 1%–20%. - عامل كشف الأوامر الضخمة: 2.0–10.0. د. معايير التصنيف: - عامل الأوامر المهمة: 1.2–3.0. - عامل الأوامر الكبرى: 2.0–5.0. هـ. الكشف المتقدم: - تفعيل كشف الانعكاسات (مع فترة مراجعة). - تفعيل كشف الفخاخ (مع حد أدنى للتسلسل). و. نظام التنبيهات: - تفعيل لكل نوع: أوامر ضخمة، أنماط مؤسسية، انعكاسات، فخاخ، عدم توازن شديد (60%–90%). ز. نظام الألوان**: تخصيص يدوي لكل فئة: - شراء قياسي 🟢: أخضر رمادي داكن. - بيع قياسي 🔴: أحمر رمادي داكن. - شراء مهم 🟢: أخضر متوسط. - بيع مهم 🔴: أحمر متوسط. - أوامر كبرى 🟣: بنفسجي. - أوامر ضخمة 🟠: برتقالي. - مؤسسي 🟦: أزرق سماوي. - انعكاس 🔵: أزرق. - فخ 🟣: وردي-أرجواني. الفئات المستهدفة يستفيد من SFT مجموعة واسعة من المتداولين والمستثمرين: 1. السكالبرز (Scalpers): كشف لحظي للأوامر الكبيرة، تحديد نقاط السيولة، تجنب الفخاخ في اللحظات الحرجة. 2. المتداولون اليوميون (Day Traders): تتبع بصمة الأموال الذكية، تحديد اتجاه الجلسة الحقيقي، كشف الانعكاسات المبكرة. 3. المتداولون المتأرجحون (Swing Traders): تأكيد قوة الاتجاه، كشف التراكم/التوزيع المؤسسي، تحديد نقاط الدخول المثلى. 4. المستثمرون: فهم معنويات السوق الحقيقية، تجنب الدخول في قمم كاذبة، تحديد مناطق القيمة الحقيقية. ⚠️ إخلاء مسؤولية: هذا المؤشر لأغراض تعليمية وتحليلية فقط. لا يُمثل نصيحة مالية أو استثمارية أو تداولية. استخدمه بالتزامن مع استراتيجيتك الخاصة وإدارة المخاطر. لا يتحمل TradingView ولا المطور مسؤولية أي قرارات مالية أو خسائر.
Indicatore Pine Script®
di The_lurker
6
Smart Money Flow Index (SMFI) - Advanced SMC [PhenLabs]📊Smart Money Flow Index (SMFI) Version: PineScript™v6 📌Description The Smart Money Flow Index (SMFI) is an advanced Smart Money Concepts implementation that tracks institutional trading behavior through multi-dimensional analysis. This comprehensive indicator combines volume-validated Order Block detection, Fair Value Gap identification with auto-mitigation tracking, dynamic Liquidity Zone mapping, and Break of Structure/Change of Character detection into a unified system. Unlike basic SMC indicators, SMFI employs a proprietary scoring algorithm that weighs five critical factors: Order Block strength (validated by volume), Fair Value Gap size and recency, proximity to Liquidity Zones, market structure alignment (BOS/CHoCH), and multi-timeframe confluence. This produces a Smart Money Score (0-100) where readings above 70 represent optimal institutional setup conditions. 🚀Points of Innovation Volume-Validated Order Block Detection – Only displays Order Blocks when formation candle exceeds customizable volume multiplier (default 1.5x average), filtering weak zones and highlighting true institutional accumulation/distribution Auto-Mitigation Tracking System – Fair Value Gaps and Order Blocks automatically update status when price mitigates them, with visual distinction between active and filled zones preventing trades on dead levels Proprietary Smart Money Score Algorithm – Combines weighted factors (OB strength 25%, FVG proximity 20%, Liquidity 20%, Structure 20%, MTF 15%) into single 0-100 confidence rating updating in real-time ATR-Based Adaptive Calculations – All distance measurements use 14-period Average True Range ensuring consistent function across any instrument, timeframe, or volatility regime without manual recalibration Dynamic Age Filtering – Automatically removes liquidity levels and FVGs older than configurable thresholds preventing chart clutter while maintaining relevant levels Multi-Timeframe Confluence Integration – Analyzes higher timeframe bias with customizable multipliers (2-10x) and incorporates HTF trend direction into Smart Money Score for institutional alignment 🔧Core Components Order Block Engine – Detects institutional supply/demand zones using characteristic patterns (down-move-then-strong-up for bullish, up-move-then-strong-down for bearish) with minimum volume threshold validation, tracks mitigation when price closes through zones Fair Value Gap Scanner – Identifies price imbalances where current candle's low/high leaves gap with two-candle-prior high/low, filters by minimum size percentage, monitors 50% fill for mitigation status Liquidity Zone Mapper – Uses pivot high/low detection with configurable lookback to mark swing points where stop losses cluster, extends horizontal lines to visualize sweep targets, manages lifecycle through age-based removal Market Structure Analyzer – Tracks pivot progression to identify trend through higher-highs/higher-lows (bullish) or lower-highs/lower-lows (bearish), detects Break of Structure and Change of Character for trend/reversal confirmation Scoring Calculation Engine – Evaluates proximity to nearest Order Blocks using ATR-normalized distance, assesses FVG recency and distance, calculates liquidity proximity with age weighting, combines structure bias and MTF trend into smoothed final score 🔥Key Features Customizable Display Limits – Control maximum Order Blocks (1-10), Liquidity Zones (1-10), and FVG age (10-200 bars) to maintain clean charts focused on most relevant institutional levels Gradient Strength Visualization – All zones render with transparency-adjustable coloring where stronger/newer zones appear more solid and weaker/older zones fade progressively providing instant visual hierarchy Educational Label System – Optional labels identify each zone type (Bullish OB, Bearish OB, Bullish FVG, Bearish FVG, BOS) with color-coded text helping traders learn SMC concepts through practical application Real-Time Smart Money Score Dashboard – Top-right table displays current score (0-100) with color coding (green >70, yellow 30-70, red <30) plus trend arrow for at-a-glance confidence assessment Comprehensive Alert Suite – Configurable notifications for Order Block formation, Fair Value Gap detection, Break of Structure events, Change of Character signals, and high Smart Money Score readings (>70) Buy/Sell Signal Integration – Automatically plots triangle markers when Smart Money Score exceeds 70 with aligned market structure and fresh Order Block detection providing clear entry signals 🎨Visualization Order Block Boxes – Shaded rectangles extend from formation bar spanning high-to-low of institutional candle, bullish zones in green, bearish in red, with customizable transparency (80-98%) Fair Value Gap Zones – Rectangular areas marking imbalances, active FVGs display in bright colors with adjustable transparency, mitigated FVGs switch to gray preventing trades on filled zones Liquidity Level Lines – Dashed horizontal lines extend from pivot creation points, swing highs in bearish color (short targets above), swing lows in bullish color (long targets below), opacity decreases with age Structure Labels – "BOS" labels appear above/below price when Break of Structure confirmed, colored by direction (green bullish, red bearish), positioned at 1% beyond highs/lows for visibility Educational Info Panel – Bottom-right table explains key terminology (OB, FVG, BOS, CHoCH) and score interpretation (>70 high probability) with semi-transparent background for readability 📖Usage Guidelines General Settings Show Order Blocks – Default: On, toggles visibility of institutional supply/demand zones, disable when focusing solely on FVGs or Liquidity Show Fair Value Gaps – Default: On, controls FVG zone display including active and mitigated imbalances Show Liquidity Zones – Default: On, manages liquidity line visibility, disable on lower timeframes to reduce clutter Show Market Structure – Default: On, toggles BOS/CHoCH label display Show Smart Money Score – Default: On, controls score dashboard visibility Order Block Settings OB Lookback Period – Default: 20, Range: 5-100, controls bars scanned for Order Block patterns, lower values detect recent activity, higher values find older blocks Min Volume Multiplier – Default: 1.5, Range: 1.0-5.0, sets minimum volume threshold as multiple of 20-period average, higher values (2.0+) filter for strongest institutional candles Max Order Blocks to Display – Default: 3, Range: 1-10, limits simultaneous Order Blocks shown, lower settings (1-3) maintain focus on most recent zones Fair Value Gap Settings Min FVG Size (%) – Default: 0.3, Range: 0.1-2.0, defines minimum gap size as percentage of close price, lower values detect micro-imbalances, higher values focus on significant gaps Max FVG Age (bars) – Default: 50, Range: 10-200, removes FVGs older than specified bars, lower settings (10-30) for scalping, higher (100-200) for swing trading Show FVG Mitigation – Default: On, displays filled FVGs in gray providing visual history, disable to show only active untouched imbalances Liquidity Zone Settings Liquidity Lookback – Default: 50, Range: 20-200, sets pivot detection period for swing highs/lows, lower values (20-50) mark shorter-term liquidity, higher (100-200) identify major swings Max Liquidity Age (bars) – Default: 100, Range: 20-500, removes liquidity lines older than specified bars, adjust based on timeframe Liquidity Sensitivity – Default: 0.5, Range: 0.1-1.0, controls pivot detection sensitivity, lower values mark only major swings, higher values identify minor swings Max Liquidity Zones to Display – Default: 3, Range: 1-10, limits total liquidity levels shown maintaining chart clarity Market Structure Settings Pivot Length – Default: 5, Range: 3-15, defines bars to left/right for pivot validation, lower values (3-5) create sensitive structure breaks, higher (10-15) filter for major shifts Min Structure Move (%) – Default: 1.0, Range: 0.1-5.0, sets minimum percentage move required between pivots to confirm structure change Multi-Timeframe Settings Enable MTF Analysis – Default: On, activates higher timeframe trend analysis incorporation into Smart Money Score Higher Timeframe Multiplier – Default: 4, Range: 2-10, multiplies current timeframe to determine analysis timeframe (4x on 15min = 1hour) Visual Settings Bullish Color – Default: Green (#089981), sets color for bullish Order Blocks, FVGs, and structure elements Bearish Color – Default: Red (#f23645), defines color for bearish elements Neutral Color – Default: Gray (#787b86), controls color of mitigated zones and neutral elements Show Educational Labels – Default: On, displays text labels on zones identifying type (OB, FVG, BOS), disable once familiar with patterns Order Block Transparency – Default: 92, Range: 80-98, controls Order Block box transparency FVG Transparency – Default: 92, Range: 80-98, sets Fair Value Gap zone transparency independently from Order Blocks Alert Settings Alert on Order Block Formation – Default: On, triggers notification when new volume-validated Order Block detected Alert on FVG Formation – Default: On, sends alert when Fair Value Gap appears enabling quick response to imbalances Alert on Break of Structure – Default: On, notifies when BOS or CHoCH confirmed Alert on High Smart Money Score – Default: On, alerts when Smart Money Score crosses above 70 threshold indicating high-probability setup ✅Best Use Cases Order Block Retest Entries – After Break of Structure, wait for price retrace into fresh bullish Order Block with Smart Money Score >70, enter long on zone reaction targeting next liquidity level Fair Value Gap Retracement Trading – When price creates FVG during strong move then retraces, enter as price approaches unfilled gap expecting institutional orders to continue trend Liquidity Sweep Reversals – Monitor price approaching swing high/low liquidity zones against prevailing Smart Money Score trend, after stop hunt sweep watch for rejection into premium Order Block/FVG Multi-Timeframe Confluence Setups – Identify alignment when current timeframe Order Block coincides with higher timeframe FVG plus MTF analysis showing matching trend bias Break of Structure Continuations – After BOS confirms trend direction, trade pullbacks to nearest Order Block or FVG in direction of structure break using Smart Money Score >70 as entry filter Change of Character Reversal Plays – When CHoCH detected indicating potential reversal, look for Smart Money Score pivot with opposing Order Block formation then enter on structure confirmation ⚠️Limitations Lagging Pivot Calculations – Pivot-based features (Liquidity Zones, Market Structure) require bars to right of pivot for confirmation, meaning these elements identify levels retrospectively with delay equal to lookback period Whipsaw in Ranging Markets – During choppy conditions, Order Blocks fail frequently and structure breaks produce false signals as Smart Money Score fluctuates without clear institutional bias, best used in trending markets Volume Data Dependency – Order Block volume validation requires accurate volume data which may be incomplete on Forex pairs or limited in crypto exchange feeds Subjectivity in Scoring Weights – Proprietary 25-20-20-20-15 weighting reflects general institutional behavior but may not optimize for specific instruments or market regimes, user cannot adjust factor weights Visual Complexity on Lower Timeframes – Sub-hour timeframes generate excessive zones creating cluttered charts, requires aggressive display limit reduction and higher minimum thresholds No Fundamental Integration – Indicator analyzes purely technical price action and volume without incorporating economic events, news catalysts, or fundamental shifts that override technical levels 💡What Makes This Unique Unified SMC Ecosystem – Unlike indicators displaying Order Blocks OR FVGs OR Liquidity separately, SMFI combines all three institutional concepts plus market structure into single cohesive system Proprietary Confidence Scoring – Rather than manual setup assessment, automated Smart Money Score quantifies probability by weighting five institutional dimensions into actionable 0-100 rating Volume-Filtered Quality – Eliminates weak Order Blocks forming without institutional volume confirmation, ensuring displayed zones represent genuine accumulation/distribution Adaptive Lifecycle Management – Automatically updates mitigation status and removes aged zones preventing trades on dead levels through continuous validity and age monitoring Educational Integration – Built-in tooltips, labeled zones, and reference panel make indicator functional for both learning Smart Money Concepts and executing strategies 🔬How It Works Order Block Detection – Scans for patterns where strong directional move follows counter-move creating last down-candle before rally (bullish OB) or last up-candle before sell-off (bearish OB), validates formations only when candle exhibits volume exceeding configurable multiple (default 1.5x) of 20-bar average volume Fair Value Gap Identification – Compares current candle’s high/low against two-candles-prior low/high to detect price imbalances, calculates gap size as percentage of close and filters micro-gaps below minimum threshold (default 0.3%), monitors whether subsequent price fills 50% triggering mitigation status Liquidity Zone Mapping – Employs pivot detection using configurable lookback (default 50 bars) to identify swing highs/lows where retail stops cluster, extends horizontal reference lines from pivot creation and applies age-based filtering to remove stale zones Market Structure Analysis – Tracks pivot progression using structure-specific lookback (default 5 bars) to determine trend, confirms uptrend when new pivot high exceeds previous by minimum move percentage, detects Break of Structure when price breaks recent pivot level, flags Change of Character for potential reversals Multi-Timeframe Confluence – When enabled, requests security data from higher timeframe (current TF × HTF multiplier, default 4x), compares HTF close against HTF 20-period MA to determine bias, contributes ±50 points to score ensuring alignment with institutional positioning on superior timeframe Smart Money Score Calculation – Evaluates Order Block component via ATR-normalized distance producing max 100-point contribution weighted at 25%, assesses FVG factor through age penalty and distance at 20% weight, calculates Liquidity proximity at 20%, incorporates structure bias (±50-100 points) at 20%, adds MTF component at 15%, applies 3-period smoothing to reduce volatility Visual Rendering and Lifecycle – Draws Order Block boxes, Fair Value Gap rectangles with color coding (green/red active, gray mitigated), extends liquidity dashed lines with fade-by-age opacity, plots BOS labels, displays Smart Money Score dashboard, continuously updates checking mitigation conditions and removing elements exceeding age/display limits 💡Note: The Smart Money Flow Index combines multiple Smart Money Concepts into unified institutional order flow analysis. For optimal results, use the Smart Money Score as confluence filter rather than standalone entry signal – scores above 70 indicate high-probability setups but should be combined with risk management, higher timeframe bias, and market regime understanding.
Indicatore Pine Script®
di PhenLabs
4
Short-Timeframe Volume Spike DetectorShort-Timeframe Volume Spike Detector Description: The Short-Timeframe Volume Spike Detector is an advanced multi-timeframe (MTF) indicator that automatically detects sudden volume surges and price expansion events on a lower timeframe and displays them on a higher (base) timeframe chart — helping traders identify hidden intraday accumulation or breakout pressure within broader candles. ⚙️ How It Works Select a Base Timeframe (e.g., Daily, 4H, 1H). The script automatically fetches data from a Lower Timeframe (e.g., Daily → 1H, 1H → 15m). Within each base bar, it scans all the lower timeframe candles to find: Volume Spikes: Volume exceeds average × multiplier or a custom threshold. Price Strength: Candle shows upward movement beyond a minimum % change. When both conditions are met, a spike signal is plotted on the higher timeframe chart. 🔍 Features ✅ Automatic Lower Timeframe Mapping — Dynamically selects the most relevant lower timeframe. ✅ Two Detection Modes: Multiplier Mode: Volume spikes defined as multiple of average lower timeframe volume. Manual Mode: Custom absolute volume threshold. ✅ Trend Filter Option: Show only signals during uptrends (configurable). ✅ Visual Markers: Purple “X” = Volume Spike Detected Dotted red & green lines = Candle range extension ✅ Custom Label Placement: Above High / Below Low / At Spike Price ✅ Debug Mode: Displays full diagnostic info including detected volume, threshold, and % change. 📊 Use Cases Detect early accumulation in daily candles using hourly or 15-min data. Identify institutional buying interest before visible breakouts. Confirm strong continuation patterns after price compression. Spot hidden intraday activity on swing or positional charts. 🧩 Inputs Overview Input Description Base Timeframe Main chart timeframe for analysis Lookback Bars Number of recent candles to scan Volume Mode “Multiplier” or “Manual Benchmark” Volume Multiplier Multiplier applied to average lower timeframe volume Manual Volume Threshold Fixed volume benchmark Min Price Change % Minimum lower timeframe candle % move to qualify Use Trend Filter Only show in uptrend (close > close ) Extend Bars Number of bars to extend dotted lines Label Position Choose Above High / Below Low / At Spike Price Debug Mode Show live internal values for calibration 🧠 Tips Ideal for swing traders and multi-timeframe analysts. Works best when base = Daily and lower = Hourly or 15m. Combine with Volume Profile, VWAP, or RRG-style analysis for stronger confluence. Use Multiplier 1.5–2.5 to fine-tune for your asset’s volatility. ⚠️ Notes Works only when applied to the base timeframe selected in inputs. May not display signals on non-standard intraday timeframes (like 3H). Labels limited to max_labels_count for performance stability.
Indicatore Pine Script®
di nithinshenoy7
3
DTCC RECAPS Dates 2020-2025This is a simple indicator which marks the RECAPS dates of the DTCC, during the periods of 2020 to 2025. These dates have marked clear settlement squeezes in the past, such as GME's squeeze of January 2021. ------------------------------------------------------------------------------------------------------------------ The Depository Trust & Clearing Corporation (DTCC) has published the 2025 schedule for its Reconfirmation and Re-pricing Service (RECAPS) through the National Securities Clearing Corporation (NSCC). RECAPS is a monthly process for comparing and re-pricing eligible equities, municipals, corporate bonds, and Unit Investment Trusts (UITs) that have aged two business days or more . At its core, the Reconfirmation and Re-pricing Service (RECAPS) is a risk management tool used by the National Securities Clearing Corporation (NSCC), a subsidiary of the DTCC. Its primary purpose is to reduce the risks associated with aged, unsettled trades in the U.S. securities market . When a trade is executed, it is sent to the NSCC for clearing and settlement. However, for various reasons, some trades may not settle on their scheduled date and become "aged." These unsettled trades create risk for both the trading parties and the clearinghouse (NSCC) because the value of the underlying securities can change over time. If a trade fails to settle and one of the parties defaults, the NSCC may have to step in to complete the transaction at the current market price, which could result in a loss. RECAPS mitigates this risk by systematically re-pricing these aged, open trading obligations to the current market value. This process ensures that the financial obligations of the clearing members accurately reflect the present value of the securities, preventing the accumulation of significant, unmanaged market risk . Detailed Mechanics: How Does it Work? The RECAPS process revolves around two key dates you asked about: the RECAPS Date and the Settlement Date . The RECAPS Date: On this day, the NSCC runs a process to identify all eligible trades that have remained unsettled for two business days or more. These "aged" trades are then re-priced to the current market value. This re-pricing is not just a simple recalculation; it generates new settlement instructions. The original, unsettled trade is effectively cancelled and replaced with a new one at the current market price. This is done through the NSCC's Obligation Warehouse. The Settlement Date: This is typically the business day following the RECAPS date. On this date, the financial settlement of the re-priced trades occurs. The difference in value between the original trade price and the new, re-priced value is settled between the two trading parties. This "mark-to-market" adjustment is processed through the members' settlement accounts at the DTCC. Essentially, the process ensures that any gains or losses due to price changes in the underlying security are realized and settled periodically, rather than being deferred until the trade is ultimately settled or cancelled. Are These Dates Used to Check Margin Requirements? Yes, indirectly, this process is closely tied to managing margin and collateral requirements for NSCC members. Here’s how: The NSCC requires its members to post collateral to a clearing fund, which acts as a mutualized guarantee against defaults. The amount of collateral each member must provide is calculated based on their potential risk exposure to the clearinghouse. By re-pricing aged trades to current market values through RECAPS, the NSCC gets a more accurate picture of each member's outstanding obligations and, therefore, their current risk profile. If a member has a large number of unsettled trades that have moved against them in value, the re-pricing will crystallize that loss, which will be settled the next day. This regular re-pricing and settlement of aged trades prevent the build-up of large, unrealized losses that could increase a member's risk profile beyond what their posted collateral can cover. While RECAPS is not the only mechanism for calculating margin (the NSCC has a complex system for daily margin calls based on overall portfolio risk), it is a crucial component for managing the specific risk posed by aged, unsettled transactions. It ensures that the value of these obligations is kept current, which in turn helps ensure that collateral levels remain adequate. -------------------------------------------------------------------------------------------------------------- Future dates of 2025: - November 12, 2025 (Wed) - November 25, 2025 (Tue) - December 11, 2025 (Thu) - December 29, 2025 (Mon) The dates for 2026 haven't been published yet at this time. The RECAPS process is essentially the industry's way of retrying the settlement of all unresolved FTDs, netting outstanding obligations, and gradually forcing resolution (either delivery or buy-in). Monitoring RECAPS cycles is one way to track the lifecycle, accumulation, and eventual resolution (or persistence) of failures to deliver in the U.S. market. The US Stock market has become a game of settlement dates and FTDs, therefore this can be useful to track.
Indicatore Pine Script®
di Infinite_Noise
Volume Order Block Scanner [BOSWaves]Volume Order Block Scanner - Dynamic Detection of High-Volume Supply and Demand Zones Overview The Volume Order Block Scanner introduces a refined approach to institutional zone mapping, combining volume-weighted order flow, structural displacement, and ATR-based proportionality to identify regions of aggressive participation from large entities. Unlike static zone mapping or simplistic body-size filters, this framework dynamically evaluates each candle through a multi-layer model of relative volume, candle structure, and volatility context to isolate genuine order block formations while filtering out market noise. Each identified zone represents a potential institutional footprint, defined by significant volume surges and efficient body-to-ATR relationships that indicate purposeful positioning. Once mapped, each order block is dynamically adjusted for volatility and tracked throughout its lifecycle - from creation to mitigation to potential invalidation - producing an evolving liquidity map that adapts with price. This adaptive behavior allows traders to visualize where liquidity was absorbed and where it remains unfilled, revealing the structural foundation of institutional intent across timeframes. Theoretical Foundation At its core, the Volume Order Block Scanner is built on the interaction between volume displacement and structural imbalance. Traditional order block systems often rely on fixed candle formations or simple engulfing logic, neglecting the fundamental driver of institutional activity: volume concentration relative to volatility. This framework redefines that approach. Each candle is filtered through two comparative ratios: Relative Volume Ratio (RVR) - the candle’s volume compared to its rolling average, confirming genuine transactional surges. Body-ATR Ratio (BAR) - a measure of displacement efficiency relative to recent volatility, ensuring structural strength. Only when both conditions align is an order block validated, marking a displacement event significant enough to create a lasting imbalance. By embedding this logic within a volatility-adjusted environment, the system maintains scalability across asset classes and volatility regimes - equally effective in crypto, forex, or index markets. How It Works The Volume Order Block Scanner operates through a structured multi-stage process: Displacement Detection - Identifies candles whose body and volume exceed dynamic thresholds derived from ATR and rolling volume averages. These represent the origin points of institutional aggression. Zone Construction - Each qualified candle generates an order block with ATR-proportional dimensions to ensure consistency across instruments and timeframes. The zone includes two regions: Body Zone (the precise initiation point of displacement) and Wick Imbalance (the residual inefficiency representing unfilled liquidity). Lifecycle Tracking - Each zone is continuously monitored for market interaction. Reactions within a defined window are classified as respected, mitigated, or invalidated, giving traders a data-driven sense of ongoing institutional relevance. Volume Confirmation Layer - Reinforces signal integrity by ensuring that all detected blocks correspond with meaningful increases in transactional activity. Temporal Decay Control - Zones that remain untested beyond a set period gradually lose visual and analytical weight, maintaining chart clarity and contextual precision. Interpretation The Volume Order Block Scanner visualizes how institutional participants interact with the market through zones of accumulation and distribution. Bullish order blocks denote demand imbalances where price displaced upward under high volume; bearish order blocks signify supply regions formed by concentrated selling pressure. Price revisiting these areas often reflects institutional re-entry or liquidity rebalancing, offering actionable insights for both continuation and reversal scenarios. By continuously monitoring interaction and expiry, the framework enables traders to distinguish between active institutional footprints and historical liquidity artifacts. Strategy Integration The Volume Order Block Scanner integrates naturally into advanced structural and order-flow methodologies: Liquidity Mapping : Identify high-volume regions that are likely to influence future price reactions. Break-of-Structure Confirmation : Validate BOS and CHOCH signals through aligned order block behavior. Volume Confluence : Combine with BOSWaves volume or momentum indicators to confirm real institutional intent. Smart-Money Frameworks : Utilize order block retests as precision entry zones within SMC-based setups. Trend Continuation : Filter zones in line with higher-timeframe bias to maintain directional integrity. Technical Implementation Details Core Engine : Dual-filter mechanism using Relative Volume Ratio (RVR) and Body-ATR Ratio (BAR). Volatility Framework : ATR-based scaling for cross-asset proportionality. Zone Composition : Body and wick regions plotted independently for visual clarity of imbalance. Lifecycle Logic : Real-time monitoring of reaction, mitigation, and invalidation states. Directional Coloring : Distinct bullish and bearish shading with adjustable transparency. Computation Efficiency : Lightweight structure suitable for multi-timeframe or multi-asset environments. Optimal Application Parameters Timeframe Guidance: 5m - 15m : Reactive intraday zones for short-term liquidity engagement. 1H - 4H : Medium-term structures for swing or intraday trend mapping. Daily - Weekly : Macro accumulation and distribution footprints. Suggested Configuration: Relative Volume Threshold : 1.5× - 2.0× average volume. Body-ATR Threshold : 0.8× - 1.2× for valid displacement. Zone Expiry : 5 - 10 bars for intraday use, 15 - 30 for swing/macro contexts. Parameter optimization should be asset-specific, tuned to volatility conditions and liquidity depth. Performance Characteristics High Effectiveness: Markets exhibiting clear displacement and directional flow. Environments with consistent volume expansion and liquidity inefficiencies. Reduced Effectiveness: Range-bound markets with frequent false impulses. Low-volume sessions lacking institutional participation. Integration Guidelines Confluence Framework : Pair with structure-based BOS or liquidity tools for validation. Risk Management : Treat active order blocks as contextual areas of interest, not guaranteed reversal points. Multi-Timeframe Logic : Derive bias from higher-timeframe blocks and execute from refined lower-timeframe structures. Volume Verification : Confirm each reaction with concurrent volume acceleration to avoid false liquidity cues. Disclaimer The Volume Order Block Scanner is a quantitative mapping framework designed for professional traders and analysts. It is not a predictive or guaranteed system of profit. Performance depends on correct configuration, market conditions, and disciplined risk management. BOSWaves recommends using this indicator as part of a comprehensive analytical process - integrating structural, volume, and liquidity context for accurate interpretation.
Indicatore Pine Script®
di BOSWaves
12
Anchored VWAP Polyline [CHE] Anchored VWAP Polyline — Anchored VWAP drawn as a polyline from a user-defined bar count with last-bar updates and optional labels Summary This indicator renders an anchored Volume-Weighted Average Price as a continuous polyline starting from a user-selected anchor point a specified number of bars back. It accumulates price multiplied by volume only from the anchor forward and resets cleanly when the anchor moves. Drawing is object-based (polyline and labels) and updated on the most recent bar only, which reduces flicker and avoids excessive redraws. Optional labels mark the anchor and, conditionally, a delta label when the current close is below the historical close at the anchor offset. Motivation: Why this design? Anchored VWAP is often used to track fair value after a specific event such as a swing, breakout, or session start. Traditional plot-based lines can repaint during live updates or incur overhead when frequently redrawn. This implementation focuses on explicit state management, last-bar rendering, and object recycling so the line stays stable while remaining responsive when the anchor changes. The design emphasizes deterministic updates and simple session gating from the anchor. What’s different vs. standard approaches? Baseline: Classic VWAP lines plotted from session open or full history. Architecture differences: Anchor defined by a fixed bar offset rather than session or day boundaries. Object-centric drawing via `polyline` with an array of `chart.point` objects. Last-bar update pattern with deletion and replacement of the polyline to apply all points cleanly. Conditional labels: an anchor marker and an optional delta label only when the current close is below the historical close at the offset. Practical effect: You get a visually continuous anchored VWAP that resets when the anchor shifts and remains clean on chart refreshes. The labels act as lightweight diagnostics without clutter. How it works (technical) The anchor index is computed as the latest bar index minus the user-defined bar count. A session flag turns true from the anchor forward; prior bars are excluded. Two persistent accumulators track the running sum of price multiplied by volume and the running sum of volume; they reset when the session flag turns from false to true. The anchored VWAP is the running sum divided by the running volume whenever both are valid and the volume is not zero. Points are appended to an array only when the anchored VWAP is valid. On the most recent bar, any existing polyline is deleted and replaced with a new one built from the point array. Labels are refreshed on the most recent bar: A yellow warning label appears when there are not enough bars to compute the reference values. The anchor label marks the anchor bar. The delta label appears only when the current close is below the close at the anchor offset; otherwise it is suppressed. No higher-timeframe requests are used; repaint is limited to normal live-bar behavior. Parameter Guide Bars back — Sets the anchor offset in bars; default two hundred thirty-three; minimum one. Larger values extend the anchored period and increase stability but respond more slowly to regime changes. Labels — Toggles all labels; default enabled. Disable to keep the chart clean when using multiple instances. Reading & Interpretation The polyline represents the anchored VWAP from the chosen anchor to the current bar. Price above the line suggests strength relative to the anchored baseline; price below suggests weakness. The anchor label shows where the accumulation starts. The delta label appears only when today’s close is below the historical close at the offset; it provides a quick context for negative drift relative to that reference. A yellow message at the current bar indicates the chart does not have enough history to compute the reference comparison yet. Practical Workflows & Combinations Trend following: Anchor after a breakout bar or a swing confirmation. Use the anchored VWAP as dynamic support or resistance; look for clean retests and holds for continuation. Mean reversion: Anchor at a local extreme and watch for approaches back toward the line; require structure confirmation to avoid early entries. Session or event studies: Re-set the anchor around earnings, macro releases, or session opens by adjusting the bar offset. Combinations: Pair with structure tools such as swing highs and lows, or with volatility measures to filter chop. The labels can be disabled when combining multiple instances to maintain chart clarity. Behavior, Constraints & Performance Repaint and confirmation: The line is updated on the most recent bar only; historical values do not rely on future bars. Normal live-bar movement applies until the bar closes. No higher timeframe: There is no `security` call; repaint paths related to higher-timeframe lookahead do not apply here. Resources: Uses one polyline object that is rebuilt on the most recent bar, plus two labels when conditions are met. `max_bars_back` is two thousand. Arrays store points from the anchor forward; extremely long anchors or very long charts increase memory usage. Known limits: With very thin volume, the VWAP can be unavailable for some bars. Very large anchors reduce responsiveness. Labels use ATR for vertical placement; extreme gaps can place them close to extremes. Sensible Defaults & Quick Tuning Starting point: Bars back two hundred thirty-three with Labels enabled works well on many assets and timeframes. Too noisy around the line: Increase Bars back to extend the accumulation window. Too sluggish after regime changes: Decrease Bars back to focus on a shorter anchored period. Chart clutter with multiple instances: Disable Labels while keeping the polyline visible. What this indicator is—and isn’t This is a visualization of an anchored VWAP with optional diagnostics. It is not a full trading system and does not include entries, exits, or position management. Use it alongside clear market structure, risk controls, and a plan for trade management. It does not predict future prices. Inputs with defaults Bars back: two hundred thirty-three bars, minimum one. Labels: enabled or disabled toggle, default enabled. Pine version: v6 Overlay: true Primary outputs: one polyline, optional labels (anchor, conditional delta, and a warning when insufficient bars). Metrics and functions: volume, ATR for label offset, object drawing via polyline and chart points, last-bar update pattern. Special techniques: session gating from the anchor, persistent state, object recycling, explicit guards against unavailable values and zero volume. Compatibility and assets: Designed for standard candlestick or bar charts across liquid assets and common timeframes. Diagnostics: Yellow warning label when history is insufficient. 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
Indicatore Pine Script®
di chervolino
Cumulative Volume Delta Profile and Heatmap [BackQuant]Cumulative Volume Delta Profile and Heatmap A multi-view CVD workstation that measures buying vs selling pressure, renders a price-aligned CVD profile with Point of Control, paints an optional heatmap of delta intensity, and detects classical CVD divergences using pivot logic. Built for reading who is in control, where participation clustered, and when effort is failing to produce result. What is CVD Cumulative Volume Delta accumulates the difference between aggressive buys and aggressive sells over time. When CVD rises, buyers are lifting the offer more than sellers are hitting the bid. When CVD falls, the opposite is true. Plotting CVD alongside price helps you judge whether price moves are supported by real participation or are running on fumes. Core Features Visual Analysis Components CVD Columns - Plot of cumulative delta, colored by side, for quick read of participation bias. CVD Profile - Price-aligned histogram of CVD accumulation using user-set bins. Shows where net initiative clustered. Split Buy and Sell CVD - Optional two-sided profile that separates positive and negative CVD into distinct wings. POC - Point of Control - The price level with the highest absolute CVD accumulation, labeled and line-marked. Heatmap - Semi-transparent blocks behind price that encode CVD intensity across the last N bars. Divergence Engine - Pivot-based detection of Bearish and Bullish CVD divergences with optional lines and labels. Stats Panel - Top level metrics: Total CVD, Buy and Sell totals with percentages, Delta Ratio, and current POC price. How it works Delta source and sampling You select an Anchor Timeframe that defines the higher time aggregation for reading the trend of CVD. The script pulls lower timeframe volume delta and aggregates it to the anchor window. You can let it auto-select the lower timeframe or force a custom one. CVD is then accumulated bar by bar to form a running total. This plot shows the direction and persistence of initiative. Profile construction The recent price range is split into Profile Granularity bins. As price traverses a bin, the current delta contribution is added to that bin. If Split Buy and Sell CVD is enabled, positive CVD goes to the right wing and negative CVD to the left wing. Widths are scaled by each side’s maximum so you can compare distribution shape at a glance. The Point of Control is the bin with the highest absolute CVD. This marks where initiative concentrated the most. Heatmap For each bin, the script computes intensity as absolute CVD relative to the maximum bin value. Color is derived from the side in control in that bin and shaded by intensity. Heatmap Length sets how far back the panels extend, highlighting recurring participation zones. Divergence model You define pivot sensitivity with Pivot Left and Right . Bearish divergence triggers when price confirms a higher high while CVD fails to make a higher high within a configurable Delta Tolerance . Bullish divergence triggers when price confirms a lower low while CVD fails to make a lower low. On trigger, optional link lines and labels are drawn at the pivots for immediate context. Key Settings Delta Source Anchor Timeframe - Higher TF for the CVD narrative. Custom Lower TF and Lower Timeframe - Force the sampling TF if desired. Pivot Logic Pivot Left and Right - Bars to each side for swing confirmation. Delta Tolerance - Small allowance to avoid near-miss false positives. CVD Profile Show CVD Profile - Toggle profile rendering. Split Buy and Sell CVD - Two-sided profile for clearer side attribution. Show Heatmap - Project intensity panels behind price. Show POC and POC Color - Mark the dominant CVD node. Profile Granularity - Number of bins across the visible price range. Profile Offset and Profile Width - Position and scale the profile. Profile Position - Right, Left, or Current bar alignment. Visuals Bullish Div Color and Bearish Div Color - Colors for divergence artifacts. Show Divergence Lines and Labels - Visualize pivots and annotations. Plot CVD - Column plot of total CVD. Show Statistics and Position - Toggle and place the summary table. Reading the display CVD columns Rising CVD confirms buyers are in control. Falling CVD confirms sellers. Flat or choppy CVD during wide price moves hints at passive or exhausted participation. CVD profile wings Thick right wing near a price zone implies heavy buy initiative accumulated there. Thick left wing implies heavy sell initiative. POC marks the strongest initiative node. Expect reactions on first touch and rotations around this level when the tape is balanced. Heatmap Brighter blocks indicate stronger historical net initiative at that price. Stacked bright bands form CVD high volume nodes. These often behave like magnets or shelves for future trade. Divergences Bearish - Price prints a higher high while CVD fails to do so. Effort is not producing result. Potential fade or pause. Bullish - Price prints a lower low while CVD fails to do so. Capitulation lacks initiative. Potential bounce or reversal. Stats panel Total CVD - Net initiative over the window. Buy and Sell volume with percentages - Side composition. Delta Ratio - Buy over Sell. Values above 1 favor buyers, below 1 favor sellers. POC Price - Current control node for plan and risk. Workflows Trend following Choose an Anchor Timeframe that matches your holding period. Trade in the direction of CVD slope while price holds above a bullish POC or below a bearish POC. Use pullbacks to CVD nodes on your profile as entry locations. Trend weakens when price makes new highs but CVD stalls, or new lows while CVD recovers. Mean reversion Look for divergences at or near prior CVD nodes, especially the POC. Fade tests into thick wings when the side that dominated there now fails to push CVD further. Target rotations back toward the POC or the opposite wing edge. Liquidity and execution map Treat strong wings and heatmap bands as probable passive interest zones. Expect pauses, partial fills, or flips at these shelves. Stops make sense beyond the far edge of the active wing supporting your idea. Alerts included CVD Bearish Divergence and CVD Bullish Divergence. Price Cross Above POC and Price Cross Below POC. Extreme Buy Imbalance and Extreme Sell Imbalance from Delta Ratio. CVD Turn Bullish and CVD Turn Bearish when net CVD crosses zero. Price Near POC proximity alert. Best practices Use a higher Anchor Timeframe to stabilize the CVD story and a sensible Profile Granularity so wings are readable without clutter. Keep Split mode on when you want to separate initiative attribution. Turn it off when you prefer a single net profile. Tune Pivot Left and Right by instrument to avoid overfitting. Larger values find swing divergences. Smaller values find micro fades. If volume is thin or synthetic for the symbol, CVD will be less reliable. The script will warn if volume is zero. Trading applications Context - Confirm or question breakouts with CVD slope. Location - Build entries at CVD nodes and POC. Timing - Use divergence and POC crosses for triggers. Risk - Place stops beyond the opposite wing or outside the POC shelf. Important notes and limits This is a price and volume based study. It does not access off-book or venue-level order flow. CVD profiles are built from the data available on your chart and the chosen lower timeframe sampling. Like all volume tools, readings can distort during roll periods, holidays, or feed anomalies. Validate on your instrument. Technical notes Delta is aggregated from a lower timeframe into an Anchor Timeframe narrative. Profile bins update in real time. Splitting by side scales each wing independently so both are readable in the same panel. Divergences are confirmed using standard pivot definitions with user-set tolerances. All profile drawing uses fixed X offsets so panels and POC do not swim when you scroll. Quick start Anchor Timeframe = Daily for intraday context. Split Buy and Sell CVD = On. Profile Granularity = 100 to 200, Profile Position = Right, Width to taste. Pivot Left and Right around 8 to 12 to start, then adapt. Turn on Heatmap for a fast map of interest bands. Bottom line CVD tells you who is doing the lifting. The profile shows where they did it. Divergences tell you when effort stops paying. Put them together and you get a clear read on control, location, and timing for both trend and mean reversion.
Indicatore Pine Script®
di BackQuant
10
NSF/NBF Boxes📘 NSF / NBF Extended Boxes (Wyckoff–VSA Smart Zones) This indicator automatically detects No Supply (NSF) and No Buying / No Demand (NBF) bars using Wyckoff–VSA principles and marks them with extended boxes and a dashed 50% midline. 🟢 NSF (No Supply) — Bullish accumulation signal 🔴 NBF (No Demand) — Bearish distribution signal Each box extends forward in time to highlight key supply/demand zones, while the dashed midline represents the equilibrium level within that bar. When price later retests this 50% level, the script triggers a visual marker and an alert condition, helping you spot potential reversals or continuation confirmations. 🧠 Core Features Automatic detection of No Supply / No Demand bars Extended boxes with adjustable length and auto-extension Midline (50%) retest alerts for precise trade timing Optional EMA trend filter, volume check, and close bias Works even on symbols without volume data (crypto, indices, FX) “Test Mode” included for easy visualization and debugging ⚙️ Usage Tips Use on 5m–4h charts for crypto or stocks to spot professional activity. Combine with Wyckoff, VSA, or Smart Money Concepts to confirm accumulation/distribution phases. Look for NSF retests near support in a downtrend → possible long entry. Look for NBF retests near resistance in an uptrend → possible short entry. 🧩 Parameters Ignore Volume: disables volume filters for markets with missing data Use EMA Trend Filter: only confirm signals in direction of trend Auto-extend Boxes: keeps zones projecting into future bars Retest Alerts: triggers when price touches midline after formation 💡 Author’s Note This tool visualizes the often-hidden behavior of smart money absorption and weak demand exhaustion. Use it as part of a complete trading plan — not as a standalone buy/sell signal
Indicatore Pine Script®
di GDaddie
1
Bitcoin Halving Strategy A systematic, data-driven trading strategy based on Bitcoin's 4-year halving cycles. This strategy capitalizes on historical price patterns that emerge around halving events, providing clear entry and exit signals for both accumulation and profit-taking phases. 🎯 Strategy Overview This automated trading system identifies optimal buy and sell zones based on the predictable Bitcoin halving cycle that occurs approximately every 4 years. By analyzing historical data from all previous halvings (2012, 2016, 2020, 2024), the strategy pinpoints high-probability trading opportunities. 📊 Key Features Automated Signal Generation: Buy signals at halving events and DCA zones, sell signals at profit-taking peaks Multi-Phase Analysis: Tracks Accumulation, Profit Taking, Bear Market, and DCA phases Visual Dashboard: Real-time performance metrics, phase countdown, and position tracking Backtesting Enabled: Comprehensive historical performance analysis with configurable parameters Risk Management: Built-in position sizing, slippage control, and optional short trading ⚙️ Strategy Logic Buy Signals: At halving event (Week 0) DCA zone entry (Week 135 post-halving) Sell Signals: Profit-taking zone (Week 80 post-halving) Optional short position entry for advanced traders 📈 Performance Highlights Captures major bull run profits while avoiding prolonged bear markets Clear visual indicators for all phases and transitions Customizable timing parameters for personalized risk tolerance Professional dashboard with live P&L, win rate, and drawdown metrics 🛠️ Customization Options Adjustable phase timing (profit start/end, DCA timing) Position sizing control Enable/disable short trading Visual customization (colors, labels, zones) Table positioning and transparency ⚠️ Risk Disclosure Past performance does not guarantee future results. This strategy is based on historical halving cycle patterns and should be used as part of a comprehensive trading plan. Always conduct your own research and consider your risk tolerance before trading. 💡 Ideal For Long-term Bitcoin investors seeking systematic entry/exit points Swing traders capitalizing on multi-month trends Portfolio managers implementing cycle-based allocation strategies
Strategia Pine Script®
di Bayan_dzuqi
No Supply (Low-Volume Down Bars) — IdoThis indicator flags classic Wyckoff/VSA “No Supply (NS)” events—down bars that print on unusually low volume, suggesting a lack of sellers rather than strong selling pressure. NS often appears near support, LPS, or within re-accumulation ranges as a test before continuation higher. Signal definition (configurable): Down bar: choose Close < PrevClose or Close < Open. Low volume: Volume < SMA(Volume, len) × threshold (e.g., 0.7). Optional volume lower than the prior two bars (reduces noise). Optional narrow spread: range (H–L) below its average. Optional close position: close in the upper half of the bar. Optional trend filter: only mark NS above or below an EMA (or any). Optional wide-bar exclusion: skip unusually wide bars. Visuals & outputs Blue dot below each NS bar (optional bar tint). Separate pane showing Relative Volume (vol / volSMA) to gauge effort. Built-in alertcondition to trigger notifications when NS prints. Inputs (high level) lenVol: Volume SMA length. ratioVol: Volume threshold vs. average (e.g., 0.7 = 70%). usePrev2: Require volume below each of the prior two bars. useNarrow + lenRange + ratioRange: Narrow-bar filter. useClosePos + minClosePos: Close in upper portion of the bar. downBarMode: Define “down bar” logic. trendFiltOn, trendLen, trendSide: EMA trend filter. useWideFilter, lenRangeWide, wideThreshold: Skip wide bars. How to use (Wyckoff/VSA context) Treat NS as a test of supply: price dips, but volume is light and close holds up. Stronger when it prints near support/LPS within a re-accumulation structure. Confirmation (recommended): within 1–3 bars, see demand—e.g., break above the NS high with expanding volume (above average or above the prior two bars). Many traders place a buy-stop just above the NS high; common stops are below the NS low or the most recent swing low. Scanning tip TradingView’s stock screener can’t consume Pine directly. Use a Watchlist Custom Column that reports “bars since NS” to sort symbols (0 = NS on the latest bar). A companion column script is provided separately. Notes & limitations Works on any timeframe (intraday/daily/weekly), but context matters. Expect false positives around news, gaps, or illiquid symbols—combine with structure (trend, S/R, phases) and risk management. © moshel — Educational use only; not financial advice.
Indicatore Pine Script®
di moshel
CNagda-MomentumX - Institutional FlowMomentumX is designed to empower traders with a deeper understanding of market movements by focusing on Institutional Flow and advanced market structure analytics. The core goal is to identify and visualize where major market participants are operating, and to translate these complex footprints into clear, actionable trading signals — all in real time. Real-time institutional activity mapping Actionable entry and exit signals based on live market structure Intuitive dashboard and dynamic chart visuals Fully customizable modules for trend, liquidity, and order blocks Core Logic Design At the heart of MomentumX lies a robust algorithmic engine built to capture and surface institutional trading behavior. By leveraging advanced mathematical models, the indicator calculates institutional volume ratios and price momentum to pinpoint aggressive moves from large participants. Institutional Volume & Price Momentum: Utilizes custom volume indicators and price change analysis to detect strong buying or selling pressure, filtering out retail noise. Liquidity Grab Detection & Activity Zones: The script identifies liquidity grabs by monitoring abrupt price sweeps at major support/resistance levels—often where institutions trigger stop hunts or reversals. All critical activity zones are automatically color-coded on the chart for instant recognition. Dashboard Visualization: A fully dynamic dashboard table overlays live scores for accumulation, distribution, strength, and weakness—giving traders a real-time scan of market health. Trendline & Order Block Architecture: The logic auto-detects pivot highs/lows to draw smart trendlines, while the order block system highlights key reversal areas and breaker zones—making market structure clear and actionable. MomentumX is packed with high-performance modules, each engineered to simplify complex market behavior and enhance decision-making for traders: Institutional Flow Signals: Instantly identifies spots where institutional players drive momentum, using unique volume and price activity analytics. Bullish/Bearish Liquidity Grab Detection: Marks abrupt price moves that signal stop hunts or reversals, letting traders anticipate snap-backs or trend shifts. Trendline Auto-Detection: Smartly draws trendlines based on significant swing highs and lows, automatically adjusting as price evolves. Order Block System (Rejection/Breaker): Spots and highlights key reversal zones with order block rectangles, confirming rejections or breakouts at strategic levels. Dashboard and Bar Coloring: A clean dashboard overlay presents live market scores, while dynamic bar coloring makes trend, strength, and high-activity periods instantly visible. User Input Toggles for Each Module: Every major feature is fully customizable—enable or disable modules to match individual trading setups or preferences. Scripting/Development MomentumX’s scripting process is modular, enabling clarity, scalability, and fast optimization throughout development: Initialization & Inputs: Start by defining all user input options, module toggles, color settings, and calculation parameters—ensuring maximum flexibility early on. Core Calculation Functions: Script advanced institutional volume and price momentum algorithms. Build out swing length logic, market state filters, and activity scoring methods. Detection Engines: Develop and integrate engines for liquidity grabs, automated trendline detection, and order block identification—each with dedicated functions for speed and precision. Visual Overlays & Plotting: Implement powerful plotting logic for colored bars, score dashboards, trendlines, reversal zones, and liquidity markers—making every data point clear and actionable on the chart. Testing Handlers: Add diagnostic panels and debug outputs to refine calculations and assure accuracy in every market environment. Sample Trade Setups (Usage) Cnagda MomentumX delivers clarity for multiple trading styles by providing timely, actionable setups grounded in institutional behavior and market structure. Here’s how traders can leverage the indicator for confident decision-making: Liquidity Grab Reversal Enter trades around detected liquidity grabs when price sweeps major support/resistance and the dashboard signals a momentum shift. Example: Wait for a bullish/Bearish grab near market lows/high, with institutional flow turning positive/negative—enter long/short for potential mean reversion. Order Block Breakout Trade breakouts when price cleanly rejects or flips key order block zones highlighted on the chart. Example: Short at a marked breaker block after a rejection signal, confirmed by a downward institutional activity spike. Trendline Continuation Ride established market moves by entering on trendline confirmations plotted by the auto-detect system. Example: Go long after a trendline retest, confirmed by a green bar color and dashboard strength score. Dashboard Confirmation Combine dashboard metrics (strength, accumulation, distribution) with bar color overlays for multi-factor entries. Example: Enter trades only when all market signals align in real time for maximum probability. For Short Entry check -- Weakness : For Long Entry Check - Strength With Other Indications MomentumX is not just another indicator – it’s your edge for reading the market like an insider. By transparently mapping institutional flow, uncovering hidden liquidity zones, and color-coding every major structure shift, MomentumX transforms complexity into actionable clarity. Whether you’re scalping, swing trading, or investing, you’ll gain a decisive, real-time advantage on every chart. Embrace smarter decisions, adapt to changing market conditions instantly, and join a new generation of technically empowered traders. Customize, observe, and let the market reveal opportunities in a way you’ve never experienced before. Happy Trading
Indicatore Pine Script®
di cnagda3
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