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Indicatori e strategie

Active PMI Support/Resistance Levels [EdgeTerminal]The PMI Support & Resistance indicator revolutionizes traditional technical analysis by using Pointwise Mutual Information (PMI) - a statistical measure from information theory - to objectively identify support and resistance levels. Unlike conventional methods that rely on visual pattern recognition, this indicator provides mathematically rigorous, quantifiable evidence of price levels where significant market activity occurs. - The Mathematical Foundation: Pointwise Mutual Information Pointwise Mutual Information measures how much more likely two events are to occur together compared to if they were statistically independent. In our context: Event A: Volume spikes occurring (high trading activity) Event B: Price being at specific levels The PMI formula calculates: PMI = log(P(A,B) / (P(A) × P(B))) Where: P(A,B) = Probability of volume spikes occurring at specific price levels P(A) = Probability of volume spikes occurring anywhere P(B) = Probability of price being at specific levels High PMI scores indicate that volume spikes and certain price levels co-occur much more frequently than random chance would predict, revealing genuine support and resistance zones. - Why PMI Outperforms Traditional Methods Subjective interpretation: What one trader sees as significant, another might ignore Confirmation bias: Tendency to see patterns that confirm existing beliefs Inconsistent criteria: No standardized definition of "significant" volume or price action Static analysis: Doesn't adapt to changing market conditions No strength measurement: Can't quantify how "strong" a level truly is PMI Advantages: ✅ Objective & Quantifiable: Mathematical proof of significance, not visual guesswork ✅ Statistical Rigor: Levels backed by information theory and probability ✅ Strength Scoring: PMI scores rank levels by statistical significance ✅ Adaptive: Automatically adjusts to different market volatility regimes ✅ Eliminates Bias: Computer-calculated, removing human interpretation errors ✅ Market Structure Aware: Reveals the underlying order flow concentrations - How It Works Data Processing Pipeline: Volume Analysis: Identifies volume spikes using configurable thresholds Price Binning: Divides price range into discrete levels for analysis Co-occurrence Calculation: Measures how often volume spikes happen at each price level PMI Computation: Calculates statistical significance for each price level Level Filtering: Shows only levels exceeding minimum PMI thresholds Dynamic Updates: Refreshes levels periodically while maintaining historical traces Visual System: Current Levels: Bright, thick lines with PMI scores - your actionable levels Historical Traces: Faded previous levels showing market structure evolution Strength Tiers: Line styles indicate PMI strength (solid/dashed/dotted) Color Coding: Green for support, red for resistance Info Table: Real-time display of strongest levels with scores - Indicator Settings: Core Parameters Lookback Period (Default: 200) Lower (50-100): More responsive to recent price action, catches short-term levels Higher (300-500): Focuses on major historical levels, more stable but less responsive Best for: Day trading (100-150), Swing trading (200-300), Position trading (400-500) Volume Spike Threshold (Default: 1.5) Lower (1.2-1.4): More sensitive, catches smaller volume increases, more levels detected Higher (2.0-3.0): Only major volume surges count, fewer but stronger signals Market dependent: High-volume stocks may need higher thresholds (2.0+), low-volume stocks lower (1.2-1.3) Price Bins (Default: 50) Lower (20-30): Broader price zones, less precise but captures wider areas Higher (70-100): More granular levels, precise but may be overly specific Volatility dependent: High volatility assets benefit from more bins (70+) Minimum PMI Score (Default: 0.5) Lower (0.2-0.4): Shows more levels including weaker ones, comprehensive view Higher (1.0-2.0): Only statistically strong levels, cleaner chart Progressive filtering: Start with 0.5, increase if too cluttered Max Levels to Show (Default: 8) Fewer (3-5): Clean chart focusing on strongest levels only More (10-15): Comprehensive view but may clutter chart Strategy dependent: Scalpers prefer fewer (3-5), swing traders more (8-12) Historical Tracking Settings Update Frequency (Default: 20 bars) Lower (5-10): More frequent updates, captures rapid market changes Higher (50-100): Less frequent updates, focuses on major structural shifts Timeframe scaling: 1-minute charts need lower frequency (5-10), daily charts higher (50+) Show Historical Levels (Default: True) Enables the "breadcrumb trail" effect showing evolution of support/resistance Disable for cleaner charts focusing only on current levels Max Historical Marks (Default: 50) Lower (20-30): Less memory usage, shorter history Higher (100-200): Longer historical context but more resource intensive Fade Strength (Default: 0.8) Lower (0.5-0.6): Historical levels more visible Higher (0.9-0.95): Historical levels very subtle Visual Settings Support/Resistance Colors: Choose colors that contrast well with your chart theme Line Width: Thicker lines (3-4) for better visibility on busy charts Show PMI Scores: Toggle labels showing statistical strength Label Size: Adjust based on screen resolution and chart zoom level - Most Effective Usage Strategies For Day Trading: Setup: Lookback 100-150, Volume Threshold 1.8-2.2, Update Frequency 10-15 Use PMI levels as bounce/rejection points for scalp entries Higher PMI scores (>1.5) offer better probability setups Watch for volume spike confirmations at levels For Swing Trading: Setup: Lookback 200-300, Volume Threshold 1.5-2.0, Update Frequency 20-30 Enter on pullbacks to high PMI support levels Target next resistance level with PMI score >1.0 Hold through minor levels, exit at major PMI levels For Position Trading: Setup: Lookback 400-500, Volume Threshold 2.0+, Update Frequency 50+ Focus on PMI scores >2.0 for major structural levels Use for portfolio entry/exit decisions Combine with fundamental analysis for timing - Trading Applications: Entry Strategies: PMI Bounce Trades Price approaches high PMI support level (>1.0) Wait for volume spike confirmation (orange triangles) Enter long on bullish price action at the level Stop loss just below the PMI level Target: Next PMI resistance level PMI Breakout Trades Price consolidates near high PMI level Volume increases (watch for orange triangles) Enter on decisive break with volume Previous resistance becomes new support Target: Next major PMI level PMI Rejection Trades Price approaches PMI resistance with momentum Watch for rejection signals and volume spikes Enter short on failure to break through Stop above the PMI level Target: Next PMI support level Risk Management: Stop Loss Placement Place stops 0.1-0.5% beyond PMI levels (adjust for volatility) Higher PMI scores warrant tighter stops Use ATR-based stops for volatile assets Position Sizing Larger positions at PMI levels >2.0 (highest conviction) Smaller positions at PMI levels 0.5-1.0 (lower conviction) Scale out at multiple PMI targets - Key Warning Signs & What to Watch For Red Flags: 🚨 Very Low PMI Scores (<0.3): Weak statistical significance, avoid trading 🚨 No Volume Confirmation: PMI level without recent volume spikes may be stale 🚨 Overcrowded Levels: Too many levels close together suggests poor parameter tuning 🚨 Outdated Levels: Historical traces are reference only, not tradeable Optimization Tips: ✅ Regular Recalibration: Adjust parameters monthly based on market regime changes ✅ Volume Context: Always check for recent volume activity at PMI levels ✅ Multiple Timeframes: Confirm PMI levels across different timeframes ✅ Market Conditions: Higher thresholds during high volatility periods Interpreting PMI Scores PMI Score Ranges: 0.5-1.0: Moderate statistical significance, proceed with caution 1.0-1.5: Good significance, reliable for most trading strategies 1.5-2.0: Strong significance, high-confidence trade setups 2.0+: Very strong significance, institutional-grade levels Historical Context: The historical trace system shows how support and resistance evolve over time. When current levels align with multiple historical traces, it indicates persistent market memory at those prices, significantly increasing the level's reliability.
Indicatore Pine Script®
di EdgeTerminal
FutureObitz Official Bank Levels// © 2025 FutureObitz - Custom version for private use This Bank Levels indicator automatically calculates daily high, low, mid, and premium/discount zones using dynamic ranges. Ideal for intraday traders using supply/demand, liquidity concepts, and institutional levels. Labels are cleanly aligned and update once per day for minimal chart clutter. This version was customized for my personal trading style and refined for visual clarity.
Indicatore Pine Script®
di FutureObitz
EdgeXplorer // Swing SequenceEdgeXplorer - Swing Sequence Swing Sequence is an advanced structural mapping indicator designed to detect and visualize internal swing formations, sequence logic, and multi-leg transitions directly on the chart. This tool is particularly useful for traders applying Smart Money Concepts (SMC), Wyckoff theory, or Elliott-style structure recognition, where the accuracy of pivot timing, internal leg evaluation, and pattern tracking is mission-critical. Instead of drawing arbitrary zig-zags, this indicator uses real market structure to extract and label potential bullish or bearish reversal sequences, including optional point 5 confirmations and internal double-top/double-bottom logic — all in real time. ⸻ 🔍 What Does Swing Sequence Do? Swing Sequence dynamically identifies structured pivot points and evaluates swing sequences composed of up to 6 labeled legs (A, B, 1, 2, 3, 4) and an optional 5th confirmation point. Once a valid bullish or bearish pattern is recognized based on defined structural rules, it plots: • Pivot labels (A through 5) • Swing zones or boxes outlining the full formation • Optional pathlines to visualize swing flow • Dotted projection lines for context It also uses internal logic to detect double-point confirmations, creating a highly structured, rule-based method for visualizing potential reversals or continuations. ⸻ ⚙️ How It Works – Technical Breakdown 1. Pivot Detection The script calculates two sets of pivots: • External Swings using Swing Pivot Length (len) • Internal Swings using Internal Pivot Length (ilen) Both use high/low extremities to determine directional bias (BULL or BEAR). 2. Sequence Evaluation Once enough pivots are collected (at least six), the algorithm attempts to construct valid sequences: • Bullish: A → B → 1 → 2 → 3 → 4 (+ optional 5) • Bearish: A → B → 1 → 2 → 3 → 4 (+ optional 5) Each candidate is evaluated using logical price containment, directional flow, and a unique “point 4 beyond point 2” condition (optional). 3. Double Point Logic If enabled, the indicator looks for a second internal pivot that aligns in price proximity with point 4 (adjustable via Strict Double-Top/Bottom and ATR-based Threshold), allowing traders to require confirmation before considering a sequence valid. 4. Sequence Validation Sequences are only plotted if: • All structural rules are met • There’s no overlap with a previously plotted sequence • Optional filters (like show/hide point 5) are satisfied ⸻ 📈 What You See on the Chart Visual Purpose Labels A–5 Marks each structural point in the sequence. Label 5 is optional. Colored Box Encapsulates the swing structure:  • Green Box → Bullish sequence  • Red Box → Bearish sequence Dotted Lines Horizontal projection from each swing point to end of sequence Polyline (Path) (Optional) Connects all swing points to show flow Auto-Coloring Box and line colors change based on bullish or bearish pattern, unless overridden ⸻ 📊 Inputs & Settings Explained Detection Settings Input Description Swing Pivot Length (len) Controls the lookback for external high/low pivots. Larger values = broader swings Internal Pivot Length (ilen) Controls lookback for internal swing structure — used for validation and double-point logic 4 Beyond 2 Forces point 4 to go beyond point 2 for sequence to be valid Show Point 5 Toggles whether point 5 is included in plotted sequences Strict Double-Top/Bottom Enables stricter proximity matching between internal pivots (uses absolute levels vs. price containment) Threshold Sets sensitivity of double-point matching, scaled by ATR(200) for dynamic precision Display Settings Input Description Path Plots a polyline that connects all labeled points in a sequence Boxes Toggles the shaded swing box zone Line Color Default color for path and projection lines when auto-coloring is disabled Auto-Color Automatically changes box and label colors based on trend direction Show Lines Toggles horizontal dotted projection lines from each swing point ⸻ 🧠 How to Read & Use Swing Sequence Swing Sequence is a visual structural analyzer, not a signal tool. Here’s how to interpret what you see: Bullish Sequence Example   A (high)   ↓   B (low)   ↓   1 → 2 → 3 → 4 (lower highs/lows)   ↓   5 (double bottom) Interpretation: Price is forming a potential reversal base. Confirmation at point 5 adds confluence for long setups. Bearish Sequence Example   A (low)   ↑   B (high)   ↑   1 → 2 → 3 → 4 (higher highs/lows)   ↑   5 (double top) Interpretation: Market may be topping out. Point 5 adds structural symmetry and possible short confluence. ⸻ 🧪 Use Cases & Strategy Integration • 🔍 Smart Money Traders: Use the sequences to identify where price is structurally exhausting liquidity or forming distribution/accumulation • 🔄 Reversal Traders: Use point 5 or sequence completion as part of your entry filter • 🎯 Structure-Based Confirmation: Use Swing Sequence to validate bias after FVG, OB, or BOS breaks • 📏 Target Zones: Swing boxes can define range-based targets, stop zones, or breaker levels
Indicatore Pine Script®
di EdgeXplorer
Smart Money Premium | Made by EF (Improved)📊 Smart Money Premium | Made by EF (Improved) A powerful all-in-one toolkit built for Smart Money / ICT traders. It helps you clearly identify market structure, liquidity, order blocks, fair value gaps, and high-probability entry signals — all visualized directly on your chart. ✨ Key features: ✅ Automatic detection of Swing High / Swing Low points ✅ Real-time BOS / CHOCH (Break of Structure / Change of Character) labeling ✅ Dynamic Order Blocks with adjustable duration and color ✅ Detection of Fair Value Gaps (FVG) and visualization with customizable zones ✅ Liquidity zones (EQH/EQL) with tolerance settings ✅ Smart Swing Failure Patterns (SFP) with instant labels ✅ Built-in Kill Zones for London & New York sessions ✅ Automatic adaptation of key parameters to your timeframe ✅ Volume filter for additional signal confirmation ✅ Clear SL/TP levels with customizable Risk:Reward ✅ Interactive status panel showing trend, structure, session, and live signal readiness ⚙️ How to use: 1️⃣ Add the indicator to your chart 2️⃣ Choose your preferred settings (or let it auto-tune by timeframe) 3️⃣ Follow the on-chart signals: BOS, CHOCH, SFP, OB & FVG zones 4️⃣ Use the SL/TP levels and Risk:Reward built into each signal to plan your trades ✅ Designed for: • Traders who follow Smart Money Concepts / ICT methodology • Those who want a clean, visual and data-driven approach • Both beginners and advanced traders looking to save time and keep discipline 🛠 All logic is transparent and customizable — colors, lookback periods, OB/FVG duration, liquidity sensitivity and more. 🔔 Alerts included for Long and Short setups.
Indicatore Pine Script®
di EvgeniyFedor4enko
VoVix DEVMA🌌 VoVix DEVMA: A Deep Dive into Second-Order Volatility Dynamics Welcome to VoVix+, a sophisticated trading framework that transcends traditional price analysis. This is not merely another indicator; it is a complete system designed to dissect and interpret the very fabric of market volatility. VoVix+ operates on the principle that the most powerful signals are not found in price alone, but in the behavior of volatility itself. It analyzes the rate of change, the momentum, and the structure of market volatility to identify periods of expansion and contraction, providing a unique edge in anticipating major market moves. This document will serve as your comprehensive guide, breaking down every mathematical component, every user input, and every visual element to empower you with a profound understanding of how to harness its capabilities. 🔬 THEORETICAL FOUNDATION: THE MATHEMATICS OF MARKET DYNAMICS VoVix+ is built upon a multi-layered mathematical engine designed to measure what we call "second-order volatility." While standard indicators analyze price, and first-order volatility indicators (like ATR) analyze the range of price, VoVix+ analyzes the dynamics of the volatility itself. This provides insight into the market's underlying state of stability or chaos. 1. The VoVix Score: Measuring Volatility Thrust The core of the system begins with the VoVix Score. This is a normalized measure of volatility acceleration or deceleration. Mathematical Formula: VoVix Score = (ATR(fast) - ATR(slow)) / (StDev(ATR(fast)) + ε) Where: ATR(fast) is the Average True Range over a short period, representing current, immediate volatility. ATR(slow) is the Average True Range over a longer period, representing the baseline or established volatility. StDev(ATR(fast)) is the Standard Deviation of the fast ATR, which measures the "noisiness" or consistency of recent volatility. ε (epsilon) is a very small number to prevent division by zero. Market Implementation: Positive Score (Expansion): When the fast ATR is significantly higher than the slow ATR, it indicates a rapid increase in volatility. The market is "stretching" or expanding. Negative Score (Contraction): When the fast ATR falls below the slow ATR, it indicates a decrease in volatility. The market is "coiling" or contracting. Normalization: By dividing by the standard deviation, we normalize the score. This turns it into a standardized measure, allowing us to compare volatility thrust across different market conditions and timeframes. A score of 2.0 in a quiet market means the same, relatively, as a score of 2.0 in a volatile market. 2. Deviation Analysis (DEV): Gauging Volatility's Own Volatility The script then takes the analysis a step further. It calculates the standard deviation of the VoVix Score itself. Mathematical Formula: DEV = StDev(VoVix Score, lookback_period) Market Implementation: This DEV value represents the magnitude of chaos or stability in the market's volatility dynamics. A high DEV value means the volatility thrust is erratic and unpredictable. A low DEV value suggests the change in volatility is smooth and directional. 3. The DEVMA Crossover: Identifying Regime Shifts This is the primary signal generator. We take two moving averages of the DEV value. Mathematical Formula: fastDEVMA = SMA(DEV, fast_period) slowDEVMA = SMA(DEV, slow_period) The Core Signal: The strategy triggers on the crossover and crossunder of these two DEVMA lines. This is a profound concept: we are not looking at a moving average of price or even of volatility, but a moving average of the standard deviation of the normalized rate of change of volatility. Bullish Crossover (fastDEVMA > slowDEVMA): This signals that the short-term measure of volatility's chaos is increasing relative to the long-term measure. This often precedes a significant market expansion and is interpreted as a bullish volatility regime. Bearish Crossunder (fastDEVMA < slowDEVMA): This signals that the short-term measure of volatility's chaos is decreasing. The market is settling down or contracting, often leading to trending moves or range consolidation. ⚙️ INPUTS MENU: CONFIGURING YOUR ANALYSIS ENGINE Every input has been meticulously designed to give you full control over the strategy's behavior. Understanding these settings is key to adapting VoVix+ to your specific instrument, timeframe, and trading style. 🌀 VoVix DEVMA Configuration 🧬 Deviation Lookback: This sets the lookback period for calculating the DEV value. It defines the window for measuring the stability of the VoVix Score. A shorter value makes the system highly reactive to recent changes in volatility's character, ideal for scalping. A longer value provides a smoother, more stable reading, better for identifying major, long-term regime shifts. ⚡ Fast VoVix Length: This is the lookback period for the fastDEVMA. It represents the short-term trend of volatility's chaos. A smaller number will result in a faster, more sensitive signal line that reacts quickly to market shifts. 🐌 Slow VoVix Length: This is the lookback period for the slowDEVMA. It represents the long-term, baseline trend of volatility's chaos. A larger number creates a more stable, slower-moving anchor against which the fast line is compared. How to Optimize: The relationship between the Fast and Slow lengths is crucial. A wider gap (e.g., 20 and 60) will result in fewer, but potentially more significant, signals. A narrower gap (e.g., 25 and 40) will generate more frequent signals, suitable for more active trading styles. 🧠 Adaptive Intelligence 🧠 Enable Adaptive Features: When enabled, this activates the strategy's performance tracking module. The script will analyze the outcome of its last 50 trades to calculate a dynamic win rate. ⏰ Adaptive Time-Based Exit: If Enable Adaptive Features is on, this allows the strategy to adjust its Maximum Bars in Trade setting based on performance. It learns from the average duration of winning trades. If winning trades tend to be short, it may shorten the time exit to lock in profits. If winners tend to run, it will extend the time exit, allowing trades more room to develop. This helps prevent the strategy from cutting winning trades short or holding losing trades for too long. ⚡ Intelligent Execution 📊 Trade Quantity: A straightforward input that defines the number of contracts or shares for each trade. This is a fixed value for consistent position sizing. 🛡️ Smart Stop Loss: Enables the dynamic stop-loss mechanism. 🎯 Stop Loss ATR Multiplier: Determines the distance of the stop loss from the entry price, calculated as a multiple of the current 14-period ATR. A higher multiplier gives the trade more room to breathe but increases risk per trade. A lower multiplier creates a tighter stop, reducing risk but increasing the chance of being stopped out by normal market noise. 💰 Take Profit ATR Multiplier: Sets the take profit target, also as a multiple of the ATR. A common practice is to set this higher than the Stop Loss multiplier (e.g., a 2:1 or 3:1 reward-to-risk ratio). 🏃 Use Trailing Stop: This is a powerful feature for trend-following. When enabled, instead of a fixed stop loss, the stop will trail behind the price as the trade moves into profit, helping to lock in gains while letting winners run. 🎯 Trail Points & 📏 Trail Offset ATR Multipliers: These control the trailing stop's behavior. Trail Points defines how much profit is needed before the trail activates. Trail Offset defines how far the stop will trail behind the current price. Both are based on ATR, making them fully adaptive to market volatility. ⏰ Maximum Bars in Trade: This is a time-based stop. It forces an exit if a trade has been open for a specified number of bars, preventing positions from being held indefinitely in stagnant markets. ⏰ Session Management These inputs allow you to confine the strategy's trading activity to specific market hours, which is crucial for day trading instruments that have defined high-volume sessions (e.g., stock market open). 🎨 Visual Effects & Dashboard These toggles give you complete control over the on-chart visuals and the dashboard. You can disable any element to declutter your chart or focus only on the information that matters most to you. 📊 THE DASHBOARD: YOUR AT-A-GLANCE COMMAND CENTER The dashboard centralizes all critical information into one compact, easy-to-read panel. It provides a real-time summary of the market state and strategy performance. 🎯 VOVIX ANALYSIS Fast & Slow: Displays the current numerical values of the fastDEVMA and slowDEVMA. The color indicates their direction: green for rising, red for falling. This lets you see the underlying momentum of each line. Regime: This is your most important environmental cue. It tells you the market's current state based on the DEVMA relationship. 🚀 EXPANSION (Green) signifies a bullish volatility regime where explosive moves are more likely. ⚛️ CONTRACTION (Purple) signifies a bearish volatility regime, where the market may be consolidating or entering a smoother trend. Quality: Measures the strength of the last signal based on the magnitude of the DEVMA difference. An ELITE or STRONG signal indicates a high-conviction setup where the crossover had significant force. PERFORMANCE Win Rate & Trades: Displays the historical win rate of the strategy from the backtest, along with the total number of closed trades. This provides immediate feedback on the strategy's historical effectiveness on the current chart. EXECUTION Trade Qty: Shows your configured position size per trade. Session: Indicates whether trading is currently OPEN (allowed) or CLOSED based on your session management settings. POSITION Position & PnL: Displays your current position (LONG, SHORT, or FLAT) and the real-time Profit or Loss of the open trade. 🧠 ADAPTIVE STATUS Stop/Profit Mult: In this simplified version, these are placeholders. The primary adaptive feature currently modifies the time-based exit, which is reflected in how long trades are held on the chart. 🎨 THE VISUAL UNIVERSE: DECIPHERING MARKET GEOMETRY The visuals are not mere decorations; they are geometric representations of the underlying mathematical concepts, designed to give you an intuitive feel for the market's state. The Core Lines: FastDEVMA (Green/Maroon Line): The primary signal line. Green when rising, indicating an increase in short-term volatility chaos. Maroon when falling. SlowDEVMA (Aqua/Orange Line): The baseline. Aqua when rising, indicating a long-term increase in volatility chaos. Orange when falling. 🌊 Morphism Flow (Flowing Lines with Circles): What it represents: This visualizes the momentum and strength of the fastDEVMA. The width and intensity of the "beam" are proportional to the signal strength. Interpretation: A thick, steep, and vibrant flow indicates powerful, committed momentum in the current volatility regime. The floating '●' particles represent kinetic energy; more particles suggest stronger underlying force. 📐 Homotopy Paths (Layered Transparent Boxes): What it represents: These layered boxes are centered between the two DEVMA lines. Their height is determined by the DEV value. Interpretation: This visualizes the overall "volatility of volatility." Wider boxes indicate a chaotic, unpredictable market. Narrower boxes suggest a more stable, predictable environment. 🧠 Consciousness Field (The Grid): What it represents: This grid provides a historical lookback at the DEV range. Interpretation: It maps the recent "consciousness" or character of the market's volatility. A consistently wide grid suggests a prolonged period of chaos, while a narrowing grid can signal a transition to a more stable state. 📏 Functorial Levels (Projected Horizontal Lines): What it represents: These lines extend from the current fastDEVMA and slowDEVMA values into the future. Interpretation: Think of these as dynamic support and resistance levels for the volatility structure itself. A crossover becomes more significant if it breaks cleanly through a prior established level. 🌊 Flow Boxes (Spaced Out Boxes): What it represents: These are compact visual footprints of the current regime, colored green for Expansion and red for Contraction. Interpretation: They provide a quick, at-a-glance confirmation of the dominant volatility flow, reinforcing the background color. Background Color: This provides an immediate, unmistakable indication of the current volatility regime. Light Green for Expansion and Light Aqua/Blue for Contraction, allowing you to assess the market environment in a split second. 📊 BACKTESTING PERFORMANCE REVIEW & ANALYSIS The following is a factual, transparent review of a backtest conducted using the strategy's default settings on a specific instrument and timeframe. This information is presented for educational purposes to demonstrate how the strategy's mechanics performed over a historical period. It is crucial to understand that these results are historical, apply only to the specific conditions of this test, and are not a guarantee or promise of future performance. Market conditions are dynamic and constantly change. Test Parameters & Conditions To ensure the backtest reflects a degree of real-world conditions, the following parameters were used. The goal is to provide a transparent baseline, not an over-optimized or unrealistic scenario. Instrument: CME E-mini Nasdaq 100 Futures (NQ1!) Timeframe: 5-Minute Chart Backtesting Range: March 24, 2024, to July 09, 2024 Initial Capital: $100,000 Commission: $0.62 per contract (A realistic cost for futures trading). Slippage: 3 ticks per trade (A conservative setting to account for potential price discrepancies between order placement and execution). Trade Size: 1 contract per trade. Performance Overview (Historical Data) The test period generated 465 total trades , providing a statistically significant sample size for analysis, which is well above the recommended minimum of 100 trades for a strategy evaluation. Profit Factor: The historical Profit Factor was 2.663 . This metric represents the gross profit divided by the gross loss. In this test, it indicates that for every dollar lost, $2.663 was gained. Percent Profitable: Across all 465 trades, the strategy had a historical win rate of 84.09% . While a high figure, this is a historical artifact of this specific data set and settings, and should not be the sole basis for future expectations. Risk & Trade Characteristics Beyond the headline numbers, the following metrics provide deeper insight into the strategy's historical behavior. Sortino Ratio (Downside Risk): The Sortino Ratio was 6.828 . Unlike the Sharpe Ratio, this metric only measures the volatility of negative returns. A higher value, such as this one, suggests that during this test period, the strategy was highly efficient at managing downside volatility and large losing trades relative to the profits it generated. Average Trade Duration: A critical characteristic to understand is the strategy's holding period. With an average of only 2 bars per trade , this configuration operates as a very short-term, or scalping-style, system. Winning trades averaged 2 bars, while losing trades averaged 4 bars. This indicates the strategy's logic is designed to capture quick, high-probability moves and exit rapidly, either at a profit target or a stop loss. Conclusion and Final Disclaimer This backtest demonstrates one specific application of the VoVix+ framework. It highlights the strategy's behavior as a short-term system that, in this historical test on NQ1!, exhibited a high win rate and effective management of downside risk. Users are strongly encouraged to conduct their own backtests on different instruments, timeframes, and date ranges to understand how the strategy adapts to varying market structures. Past performance is not indicative of future results, and all trading involves significant risk. 🔧 THE DEVELOPMENT PHILOSOPHY: FROM VOLATILITY TO CLARITY The journey to create VoVix+ began with a simple question: "What drives major market moves?" The answer is often not a change in price direction, but a fundamental shift in market volatility. Standard indicators are reactive to price. We wanted to create a system that was predictive of market state. VoVix+ was designed to go one level deeper—to analyze the behavior, character, and momentum of volatility itself. The challenge was twofold. First, to create a robust mathematical model to quantify these abstract concepts. This led to the multi-layered analysis of ATR differentials and standard deviations. Second, to make this complex data intuitive and actionable. This drove the creation of the "Visual Universe," where abstract mathematical values are translated into geometric shapes, flows, and fields. The adaptive system was intentionally kept simple and transparent, focusing on a single, impactful parameter (time-based exits) to provide performance feedback without becoming an inscrutable "black box." The result is a tool that is both profoundly deep in its analysis and remarkably clear in its presentation. ⚠️ RISK DISCLAIMER AND BEST PRACTICES VoVix+ is an advanced analytical tool, not a guarantee of future profits. All financial markets carry inherent risk. The backtesting results shown by the strategy are historical and do not guarantee future performance. This strategy incorporates realistic commission and slippage settings by default, but market conditions can vary. Always practice sound risk management, use position sizes appropriate for your account equity, and never risk more than you can afford to lose. It is recommended to use this strategy as part of a comprehensive trading plan. This was developed specifically for Futures "The prevailing wisdom is that markets are always right. I take the opposite view. I assume that markets are always wrong. Even if my assumption is occasionally wrong, I use it as a working hypothesis." — George Soros — Dskyz, Trade with insight. Trade with anticipation.
Strategia Pine Script®
di DskyzInvestments
Alpha - Combined BreakoutThis Pine Script indicator, "Alpha - Combined Breakout," is a combination between Smart Money Breakout Signals and UT Bot Alert, The UT Bot Alert indicator was initially developer by Yo_adriiiiaan The idea of original code belongs HPotter. This Indicator helps you identify potential trading opportunities by combining two distinct strategies: Smart Money Breakout and a modified UT Bot (likely a variation of the Ultimate Trend Bot). It provides visual signals, draws lines for potential take profit (TP) and stop loss (SL) levels, and includes a dashboard to track performance metrics. Tutorial: Understanding and Using the "Alpha - Combined Breakout" Indicator This indicator is designed for traders looking for confirmation of market direction and potential entry/exit points by blending structural analysis with a trend-following oscillator. How it Works (General Concept) The indicator combines two main components: Smart Money Breakout: This part identifies significant breaks in market structure, which "smart money" traders often use to gauge shifts in supply and demand. It looks for higher highs/lows or lower highs/lows and flags when these structural points are broken. UT Bot: This is a trend-following component that generates buy and sell signals based on price action relative to an Average True Range (ATR) based trailing stop. You can choose to use these signals independently or combined to generate trading alerts and visual cues on your chart. The dashboard provides a quick overview of how well the signals are performing based on your chosen settings and display mode. Parameters and What They Do Let's break down each input parameter: 1. Smart Money Inputs These settings control how the indicator identifies market structure and breakouts. swingSize (Market Structure Time-Horizon): What it does: This integer value defines the number of candles used to identify significant "swing" (pivot) points—highs and lows. Effect: A larger swingSize creates a smoother market structure, focusing on longer-term trends. This means signals might appear less frequently and with some delay but could be more reliable for higher timeframes or broader market movements. A smaller swingSize will pick up more minor market structure changes, leading to more frequent but potentially noisier signals, suitable for lower timeframes or scalping. Analogy: Think of it like a zoom level on your market structure map. Higher values zoom out, showing only major mountain ranges. Lower values zoom in, showing every hill and bump. bosConfType (BOS Confirmation Type): What it does: This string input determines how a Break of Structure (BOS) is confirmed. You have two options: 'Candle Close': A breakout is confirmed only if a candle's closing price surpasses the previous swing high (for bullish) or swing low (for bearish). 'Wicks': A breakout is confirmed if any part of the candle (including its wick) surpasses the previous swing high or low. Effect: 'Candle Close' provides stronger, more conservative confirmation, as it implies sustained price movement beyond the structure. 'Wicks' provides earlier, more aggressive signals, as it captures momentary breaches of the structure. Analogy: Imagine a wall. 'Candle Close' means the whole person must get over the wall. 'Wicks' means even a finger touching over the top counts as a breach. choch (Show CHoCH): What it does: A boolean (true/false) input to enable or disable the display of "Change of Character" (CHoCH) labels. CHoCH indicates the first structural break against the current dominant trend. Effect: When true, it helps identify early signs of a potential trend reversal, as it marks where the market's "character" (its tendency to make higher highs/lows or lower lows/highs) first changes. BULL (Bullish Color) & BEAR (Bearish Color): What they do: These color inputs allow you to customize the visual appearance of bullish and bearish signals and lines drawn by the Smart Money component. Effect: Purely cosmetic, helps with visual identification on the chart. sm_tp_sl_multiplier (SM TP/SL Multiplier (ATR)): What it does: A float value that acts as a multiplier for the Average True Range (ATR) to calculate the Take Profit (TP) and Stop Loss (SL) levels specifically when you're in "Smart Money Only" mode. It uses the ATR calculated by the UT Bot's nLoss_ut as its base. Effect: A higher multiplier creates wider TP/SL levels, potentially leading to fewer trades but larger wins/losses. A lower multiplier creates tighter TP/SL levels, potentially leading to more frequent but smaller wins/losses. 2. UT Bot Alerts Inputs These parameters control the behavior and sensitivity of the UT Bot component. a_ut (UT Key Value (Sensitivity)): What it does: This integer value adjusts the sensitivity of the UT Bot. Effect: A higher value makes the UT Bot less sensitive to price fluctuations, resulting in fewer and potentially more reliable signals. A lower value makes it more sensitive, generating more signals, which can include more false signals. Analogy: Like a noise filter. Higher values filter out more noise, keeping only strong signals. c_ut (UT ATR Period): What it does: This integer sets the look-back period for the Average True Range (ATR) calculation used by the UT Bot. ATR measures market volatility. Effect: This period directly influences the calculation of the nLoss_ut (which is a_ut * xATR_ut), thus defining the distance of the trailing stop loss and take profit levels. A longer period makes the ATR smoother and less reactive to sudden price spikes. A shorter period makes it more responsive. h_ut (UT Signals from Heikin Ashi Candles): What it does: A boolean (true/false) input to determine if the UT Bot calculations should use standard candlestick data or Heikin Ashi candlestick data. Effect: Heikin Ashi candles smooth out price action, often making trends clearer and reducing noise. Using them for UT Bot signals can lead to smoother, potentially delayed signals that stay with a trend longer. Standard candles are more reactive to raw price changes. 3. Line Drawing Control Buttons These crucial boolean inputs determine which type of signals will trigger the drawing of TP/SL/Entry lines and flags on your chart. They act as a priority system. drawLinesUtOnly (Draw Lines: UT Only): What it does: If checked (true), lines and flags will only be drawn when the UT Bot generates a buy/sell signal. Effect: Isolates UT Bot signals for visual analysis. drawLinesSmartMoneyOnly (Draw Lines: Smart Money Only): What it does: If checked (true), lines and flags will only be drawn when the Smart Money Breakout logic generates a bullish/bearish breakout. Effect: Overrides drawLinesUtOnly if both are checked. Isolates Smart Money signals. drawLinesCombined (Draw Lines: UT & Smart Money (Combined)): What it does: If checked (true), lines and flags will only be drawn when both a UT Bot signal AND a Smart Money Breakout signal occur on the same bar. Effect: Overrides both drawLinesUtOnly and drawLinesSmartMoneyOnly if checked. Provides the strictest entry criteria for line drawing, looking for strong confluence. Dashboard Metrics Explained The dashboard provides performance statistics based on the lines drawing control button selected. For example, if "Draw Lines: UT Only" is active, the dashboard will show stats only for UT Bot signals. Total Signals: The total number of buy or sell signals generated by the selected drawing mode. TP1 Win Rate: The percentage of signals where the price reached Take Profit 1 (TP1) before hitting the Stop Loss. TP2 Win Rate: The percentage of signals where the price reached Take Profit 2 (TP2) before hitting the Stop Loss. TP3 Win Rate: The percentage of signals where the price reached Take Profit 3 (TP3) before hitting the Stop Loss. (Note: TP1, TP2, TP3 are in order of distance from entry, with TP3 being furthest.) SL before any TP rate: This crucial metric shows the number of times the Stop Loss was hit / the percentage of total signals where the stop loss was triggered before any of the three Take Profit levels were reached. This gives you a clear picture of how often a trade resulted in a loss without ever moving into profit target territory. Short Tutorial: How to Use the Indicator Add to Chart: Open your TradingView chart, go to "Indicators," search for "Alpha - Combined Breakout," and add it to your chart. Access Settings: Once added, click the gear icon next to the indicator name on your chart to open its settings. Choose Your Signal Mode: For UT Bot only: Uncheck "Draw Lines: Smart Money Only" and "Draw Lines: UT & Smart Money (Combined)". Ensure "Draw Lines: UT Only" is checked. For Smart Money only: Uncheck "Draw Lines: UT Only" and "Draw Lines: UT & Smart Money (Combined)". Ensure "Draw Lines: Smart Money Only" is checked. For Combined Signals: Check "Draw Lines: UT & Smart Money (Combined)". This will override the other two. Adjust Parameters: Start with default settings. Observe how the signals appear on your chosen asset and timeframe. Refine Smart Money: If you see too many "noisy" market structure breaks, increase swingSize. If you want earlier breakouts, try "Wicks" for bosConfType. Refine UT Bot: Adjust a_ut (Sensitivity) to get more or fewer UT Bot signals. Change c_ut (ATR Period) if you want larger or smaller TP/SL distances. Experiment with h_ut to see if Heikin Ashi smoothing suits your trading style. Adjust TP/SL Multiplier: If using "Smart Money Only" mode, fine-tune sm_tp_sl_multiplier to set appropriate risk/reward levels. Interpret Signals & Lines: Buy/Sell Flags: These indicate the presence of a signal based on your selected drawing mode. Entry Line (Blue Solid): This is where the signal was generated (usually the close price of the signal candle). SL Line (Red/Green Solid): Your calculated stop loss level. TP Lines (Dashed): Your three calculated take profit levels (TP1, TP2, TP3, where TP3 is the furthest target). Smart Money Lines (BOS/CHoCH): These lines indicate horizontal levels where market structure breaks occurred. CHoCH labels might appear at the first structural break against the prior trend. Monitor Dashboard: Pay attention to the dashboard in the top right corner. This dynamically updates to show the win rates for each TP and, crucially, the "SL before any TP rate." Use these statistics to evaluate the effectiveness of the indicator's signals under your current settings and chosen mode. * Set Alerts (Optional): You can set up alerts for any of the specific signals (UT Bot Long/Short, Smart Money Bullish/Bearish, or the "Line Draw" combined signals) to notify you when they occur, even if you're not actively watching the chart. By following this tutorial, you'll be able to effectively use and customize the "Alpha - Combined Breakout" indicator to suit your trading strategy.
Indicatore Pine Script®
di Eternal_May
Fibonacci Retracement Engine (DFRE) [PhenLabs]📊 Fibonacci Retracement Engine (DFRE) Version: PineScript™ v6 📌 Description Dynamic Fibonacci Retracement Engine (DFRE) is a sophisticated technical analysis tool that automatically detects important swing points and draws precise Fibonacci retracement levels on various timeframes. The intelligent indicator eliminates the subjectivity of manual Fibonacci drawing using intelligent swing detection algorithms combined with multi timeframe confluence analysis. Built for professional traders who demand accuracy and consistency, DFRE provides real time Fibonacci levels that adapt to modifications in market structure without sacrificing accuracy in changing market conditions. The indicator excels at identifying key support and resistance levels where price action is more likely to react, giving traders a potent edge in entry and exit timing. 🚀 Points of Innovation Intelligent Swing Detection Algorithm : Advanced pivot detection with customizable confirmation bars and minimum swing percentage thresholds Multi-Timeframe Confluence Engine : Simultaneous analysis across three timeframes to identify high-probability zones Dynamic Level Management : Automatically updates and manages multiple Fibonacci sets while maintaining chart clarity Adaptive Visualization System : Smart labeling that shows only the most relevant levels based on user preferences Real-Time Confluence Detection : Identifies zones where multiple Fibonacci levels from different timeframes converge Automated Alert System : Comprehensive notifications for level breakouts and confluence zone formations 🔧 Core Components Swing Point Detection Engine : Uses pivot high/low calculations with strength confirmation to identify significant market turns Fibonacci Calculator : Automatically computes standard retracement levels (0.236, 0.382, 0.5, 0.618, 0.786, 0.886) plus extensions (1.272, 1.618) Multi-Timeframe Security Function : Safely retrieves Fibonacci data from higher timeframes without repainting Confluence Analysis Module : Mathematically identifies zones where multiple levels cluster within specified thresholds Dynamic Drawing Management : Efficiently handles line and label creation, updates, and deletion to maintain performance 🔥 Key Features Customizable Swing Detection : Adjust swing length (3-50 bars) and strength confirmation (1-10 bars) to match your trading style Selective Level Display : Choose which Fibonacci levels to show, from core levels to full extensions Multi-Timeframe Analysis : Analyze up to 3 different timeframes simultaneously for confluence identification Intelligent Labeling System : Options to show main levels only or all levels, with latest-set-only functionality Visual Customization : Adjustable line width, colors, and extension options for optimal chart clarity Performance Optimization : Limit maximum Fibonacci sets (1-5) to maintain smooth chart performance Comprehensive Alerting : Get notified on level breakouts and confluence zone formations 🎨 Visualization Dynamic Fibonacci Lines : Color-coded lines (green for uptrends, red for downtrends) with customizable width and extension Smart Level Labels : Precise level identification with both ratio and price values displayed Confluence Zone Highlighting : Visual emphasis on areas where multiple timeframe levels converge Clean Chart Management : Automatic cleanup of old drawing objects to prevent chart clutter Responsive Design : All visual elements adapt to different chart sizes and timeframes 📖 Usage Guidelines Swing Detection Settings Swing Detection Length - Default: 25 | Range: 3-50 | Controls the lookback period for identifying pivot points. Lower values detect more frequent swings but may include noise, while higher values focus on major market turns. Swing Strength (Confirmation Bars) - Default: 2 | Range: 1-10 | Number of bars required to confirm a swing point. Higher values reduce false signals but increase lag. Minimum Swing % Change - Default: 1.0% | Range: 0.1-10.0% | Minimum percentage change required to register a valid swing. Filters out insignificant price movements. Fibonacci Level Settings Individual Level Toggles : Enable/disable specific Fibonacci levels (0.236, 0.382, 0.5, 0.618, 0.786, 0.886) Extensions : Show projection levels (1.272, 1.618) for target identification Multi-Timeframe Settings Timeframe Selection : Choose three higher timeframes for confluence analysis Confluence Threshold : Percentage tolerance for level clustering (0.5-5.0%) ✅ Best Use Cases Swing Trading : Identify optimal entry and exit points at key retracement levels Confluence Trading : Focus on high-probability zones where multiple timeframe levels align Support/Resistance Trading : Use dynamic levels that adapt to changing market structure Breakout Trading : Monitor level breaks for momentum continuation signals Target Setting : Utilize extension levels for profit target placement ⚠️ Limitations Lagging Nature : Requires confirmed swing points, which means levels appear after significant moves Market Condition Dependency : Works best in trending markets; less effective in extremely choppy conditions Multiple Signal Complexity : Multiple timeframe analysis may produce conflicting signals requiring experience to interpret Performance Considerations : Multiple Fibonacci sets and MTF analysis may impact indicator loading time on slower devices 💡 What Makes This Unique Automated Precision : Eliminates manual drawing errors and subjective level placement Multi-Timeframe Intelligence : Combines analysis from multiple timeframes for superior confluence detection Adaptive Management : Automatically updates and manages multiple Fibonacci sets as market structure evolves Professional-Grade Alerts : Comprehensive notification system for all significant level interactions 🔬 How It Works Step 1 - Swing Point Identification : Scans price action using pivot high/low calculations with specified lookback periods, applies confirmation logic to eliminate false signals, and calculates swing strength based on surrounding price action for quality assessment. Step 2 - Fibonacci Level Calculation : Automatically computes retracement and extension levels between confirmed swing points, creates dynamic level sets that update as new swing points are identified, and maintains multiple active Fibonacci sets for comprehensive market analysis. Step 3 - Multi-Timeframe Confluence : Retrieves Fibonacci data from higher timeframes using secure request functions, analyzes level clustering across different timeframes within specified thresholds, and identifies high-probability zones where multiple levels converge. 💡 Note: This indicator works best when combined with other technical analysis tools and proper risk management. The multi-timeframe confluence feature provides the highest probability setups, but always confirm signals with additional analysis before entering trades.
Indicatore Pine Script®
di PhenLabs
Friedrich IndicatorThis indicator visualizes trend zones using two Exponential Moving Averages (EMAs) with user-defined lengths (default 32 and 58). It identifies bullish and bearish trends based on the relationship between the shorter and longer EMA and confirms these trends only after they persist for a specified number of bars (confirmBars). Bullish zone (green): When the shorter EMA remains above the longer EMA for at least the confirmation number of bars, both EMAs and the area between them are colored green, indicating a confirmed upward trend. Bearish zone (red): When the shorter EMA stays below the longer EMA for at least the confirmation bars, EMAs and the filled zone turn red, signaling a confirmed downward trend. Neutral zone (white): Before the trend confirmation, the EMAs and the area between are colored white with transparency, representing an unconfirmed or neutral state. The area between the two EMAs is filled with the respective color, providing an intuitive visual cue of market momentum and trend strength directly on the price chart.
Indicatore Pine Script®
di lookedpiano
Zen Open - 18 Bar v2Zen Open – 18 Bar Box (RTH Study Tool) 📄 Description: This script highlights the first 18 bars of each Regular Trading Hours (RTH) session with a visual box and optional range label. It is intended as a study aid for traders analyzing early session structure. Features: • Draws a box around the first 18 bars of the RTH session • Displays the total range as a label (optional) • Fully customizable box color and transparency Intended Use: This is an educational and visual analysis tool to help traders research how the RTH open influences the rest of the session. Tight opening range may suggest range expansion Wide opening range may indicate reduced movement or reversal risk This script does not generate trading signals, does not offer financial advice, and does not promote any service. It is provided for discretionary study and chart analysis only.
Indicatore Pine Script®
di Zen_Trading_Tech
TTT Sentiment IndicatorThis indicator plots the NYSE uptick vs. downtick volume ratios and can be used as a short-term sentiment indicator of buying pressure (FOMO) when UVOL/DVOL is high and selling pressure (panic selling) when DVOL/UVOL is high. These ratios are used informally by Chris Vermeulen of The Technical Traders as a contrarian indicator on a 30 minute chart. This script isn't created, approved, or supported by The Technical Traders, but was created by a TTT subscriber to support the request of other subscribers. I'm not planning to upgrade or support this indicator or answer questions on how to use it. It's open source, so users can make their own copy and edit as they see fit.
Indicatore Pine Script®
di bhal1968
Volatility + Momentum Breakout Signals **Volatility + Momentum Breakout Signals** --- ## 🎯 **Purpose** This indicator is designed to **identify potential breakout opportunities** — both **bullish** and **bearish** — by combining **volatility expansion** with **momentum direction**. Breakouts are often more reliable when both volatility and momentum agree. This tool helps detect such alignments early. --- ## 📐 **How It Works** The indicator uses **3 key components**: ### 1. **Average True Range (ATR)** * Measures **market volatility** — how wide the price is moving. * If ATR is **rising**, it means price is swinging more — indicating energy buildup. ### 2. **Bollinger Band Width (BB Width)** * Measures the **distance between upper and lower Bollinger Bands**. * If BB Width is **increasing**, the bands are expanding — signaling a possible breakout after a tight range. ### 3. **Relative Strength Index (RSI)** * Measures **momentum** of price direction. * If RSI is **above 50 and rising**, the trend is bullish. * If RSI is **below 50 and falling**, the trend is bearish. --- ## 📈 **Signal Conditions** ### ✅ **Bullish Breakout Signal** (Buy) * **ATR is rising** * **BB Width is rising** * **RSI is above 50 and rising** 🟢 If all three occur, a **Buy Signal** is plotted with a green triangle at the bottom of the chart. --- ### 🚫 **Bearish Breakout Signal** (Sell) * **ATR is rising** * **BB Width is rising** * **RSI is below 50 and falling** 🔴 If all three occur, a **Sell Signal** is plotted with a red triangle at the top of the chart. --- ## 📊 **What Is Plotted** * **RSI line** with 30, 50, and 70 reference levels. * **BB Width (%)** — shows how wide the Bollinger Bands are (orange line). * **ATR** — the actual range of price movement (purple area). * **Buy/Sell Markers** when conditions align. --- ## 🛠️ **Usage** This indicator is ideal for: * **Breakout traders** — to catch sharp price moves. * **Swing traders** — to identify strong momentum continuation. * **Volatility-based entry strategies**.
Indicatore Pine Script®
di raghavprakash05
BOR + 08:28BOR + TIME: Precision 1-Minute Opening Range Analysis METHODOLOGY OVERVIEW This indicator implements a proprietary time-based trading methodology that combines opening range analysis with precision timing algorithms designed exclusively for 1-minute charts during the New York trading session. CORE ALGORITHM COMPONENTS 1. Bond Opening Range (BOR) Identification - Captures the complete price range during 08:00-09:00 NY time - Establishes the foundational trading range for the session - Uses high-precision minute-level data to define exact boundaries 2. Critical Time Level Analysis (08:28 Candle) - Identifies the 08:28-08:29 minute candle as a key reference point - This specific timing represents a critical juncture before market open - Captures the exact high/low range of this precise minute 3. Directional Bias Determination (09:00 Analysis) - At exactly 09:00, compares current price position relative to 08:28 boundaries - Above 08:28 High: Activates support-seeking mode (bullish bias) - Below 08:28 Low: Activates resistance-seeking mode (bearish bias) - Inside 08:28 Range: No directional bias established 4. Dynamic Standard Deviation Projections - Uses the 08:28 candle range as the mathematical basis for standard deviation calculations - Support Mode: Projects levels below 08:28 low using range multipliers (-1σ, -2σ, -3σ, -4σ) - Resistance Mode: Projects levels above 08:28 high using range multipliers (+1σ, +2σ, +3σ, +4σ) - Levels are active only during 09:00-10:30 trading window UNIQUE FEATURES Conditional Logic Engine - Real-time directional switching based on 09:00 price position - No static levels - everything adapts to intraday price action - Eliminates noise by focusing on specific time windows Precision Timing Requirements - Requires exact 1-minute timeframe for accurate calculations - Time-sensitive algorithm that relies on minute-by-minute analysis - Optimized for high-frequency intraday trading decisions Mathematical Framework - Standard deviations calculated using actual candle range data - Dynamic level spacing based on market volatility (08:28 range) - Four-tier projection system for multiple target/stop levels TRADING APPLICATION Best Used For: - ES, NQ, YM and other liquid index futures - Active day trading during NY session (07:00-12:00) - Scalping and short-term reversal strategies - Intraday support/resistance identification Signal Interpretation: - Red lines represent potential reversal zones - Direction determined by 09:00 vs 08:28 relationship - Multiple standard deviation levels provide layered entry/exit points - Time-restricted plotting ensures relevance during active trading hours IMPORTANT REQUIREMENTS - ONLY works on 1-minute charts - precision timing is essential - Designed for New York trading session (futures markets) - Most effective during high-volume trading periods CUSTOMIZATION OPTIONS - Toggle BOR box visibility and transparency - Enable/disable 08:28 candle highlighting - Adjust visual elements (colors, transparency) - Show/hide range information labels
Indicatore Pine Script®
di The_PC_Trader
MENOLAK RUGI TRADING PLAN "MENOLAK RUGI TRADING PLAN" is a customizable trading plan table designed to help Smart Money Concept (SMC) traders visualize their execution checklist directly on the chart. With this tool, you can select multiple timeframes for analysis, define your POI (Point of Interest) entry types, entry system preferences, stop-loss parameters, target exit strategies, break-even setup conditions, and risk per trade — all displayed in a clean, organized table. 🔧 Features: Multi-timeframe selection (D1 to M1) Multi-select POI Entry, Entry System, and Target Exit Customizable SL levels (10–100 pips) BEP setup from 1R to 5R Risk/Trade options from 0.1% to 1% Full control over table color, font size, and position Perfect for discretionary and rule-based traders who want to remain consistent, accountable, and structured in their trading approach.
Indicatore Pine Script®
di MENOLAKRUGI_FX
Gabriel's Quick Table📊 Gabriel's Quick Table — Multi-Metric Market Scanner Gabriel's Quick Table is a lightweight, customizable table overlay that displays key market metrics for intraday, swing, and options traders. It centralizes high-impact price, volume, and volatility data across multiple timeframes to quickly assess trade readiness, risk levels, and momentum without cluttering your chart. 🔍 Features ✅ ADR% (Average Daily Range %) Measures price volatility by averaging the ratio of high/low over N days. Helps spot compression/expansion setups. ✅ ATR (Average True Range) Assists with stop-loss placement and measuring volatility strength. User-defined ATR Length and timeframe. ✅ LoD Distance (% from Low of Day) Identifies how far price has bounced off the intraday low. Useful for reversal traders and support tests. ✅ % from 52-Week High Calculates how far current price is from its long-term swing high. Ideal for value reversion setups or breakout scanning. ✅ Relative Volume (RVOL) Measures current volume versus average over N bars. Highlights unusual activity or breakout potential. ✅ VWAP Distance Shows how far price is from the volume-weighted average price. Used by institutions and intraday traders to define fair value zones. ✅ Internal Bar Strength (IBS) Normalized indicator showing whether price closed near the high or low of the candle. Useful for fade vs. breakout setups. ✅ Open Interest % Change Measures short-term change in OI, used in futures/options analysis. Spikes may indicate buildup of positions or unwinding. 🚨 Built-In Alerts Each core metric includes a customizable alert: ADR%, ATR, RVOL, VWAP distance Distance to 52-week high OI % change IBS thresholds Use these to automate watchlist scanning or intraday alerts when your ideal trade conditions appear. 🧠 Smart Design Multi-timeframe support for each input (e.g. Weekly 52W High + Intraday VWAP). Minimalist table overlay that works even when multiple indicators are stacked. Color-coded labels and values for intuitive scanning. 💡 Use Cases Intraday traders looking for high-RVOL + VWAP bounce setups. Swing traders waiting for price compression (low ADR%) or breakouts near 52W highs. Futures and options traders tracking OI surges with volume confirmation. Systematic traders using custom alert levels for automated signal generation.
Indicatore Pine Script®
di GabrielAmadeusLau