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Ghost Protocol [Bit2Billions]📌 Ghost Protocol — RSI Percentile Momentum Engine Ghost Protocol is a closed-source RSI momentum indicator built around a non-standard RSI calculation method designed to solve a core limitation of traditional RSI tools: fixed threshold bias. Standard RSI uses static levels (30/70 or 20/80), which assume all markets, assets, and volatility regimes behave the same. In practice, this causes false signals, late divergences, and inconsistent momentum interpretation. Ghost Protocol replaces fixed RSI thresholds with a percentile-ranked RSI distribution model, allowing momentum to be evaluated relative to its own historical behavior rather than absolute levels. 📌 Core Calculation Method (Non-Standard RSI Implementation) Instead of interpreting RSI using fixed values, Ghost Protocol evaluates RSI using: * A rolling RSI distribution * Percentile ranking of RSI values within that distribution * Volatility-aware normalization of momentum extremes This means: * “Overbought” and “oversold” conditions are defined by relative momentum rarity, not static numbers. * RSI adapts automatically to different instruments and volatility regimes. * Momentum signals remain consistent across markets without manual tuning. This calculation method cannot be replicated using built-in RSI alone, as built-ins do not provide percentile-based RSI context or distribution awareness. 📌 How the Components Work Together All modules in Ghost Protocol reference the same percentile-based RSI state: 1. Percentile RSI Core defines momentum pressure relative to historical distribution. 2. Divergence Detection compares price swings against percentile-ranked RSI swings, reducing false signals caused by static RSI levels. 3. Trend & Regime Filtering evaluates whether momentum is expanding, compressing, or exhausting based on percentile persistence rather than crossings. 4. Multi-Timeframe Alignment compares percentile RSI states across timeframes using normalized momentum, not raw RSI values. Because every component references the same normalized RSI context, signals confirm or invalidate each other instead of conflicting. 📌 What Problem This Script Solves Ghost Protocol is designed for traders who struggle with: * RSI behaving differently across assets * Fixed OB/OS levels failing in trending markets * Divergences appearing too late or inconsistently * Multiple RSI tools giving contradictory signals * Manual RSI calibration per instrument By using percentile-based RSI logic, Ghost Protocol provides: * Consistent momentum interpretation * Regime-aware RSI behavior * Contextual divergence detection * Cleaner, more reliable momentum structure 📌 How Traders Use Ghost Protocol Ghost Protocol is not a signal generator. Traders use it to: * Identify momentum expansion vs exhaustion * Evaluate divergence strength in context * Confirm trend continuation or weakening pressure * Align momentum across timeframes All outputs are designed for decision context, not automated entries. 📌 Why This Script Is Original Ghost Protocol does not modify RSI visually—it redefines how RSI is interpreted. Originality comes from: * Percentile-based RSI evaluation * Distribution-aware momentum logic * Contextual divergence validation * Unified RSI state shared across all modules This approach cannot be reproduced by stacking public RSI indicators or using built-in thresholds. 📌 Why This Script Is Invite-Only Ghost Protocol is offered as a closed-source script because its value lies in the calculation model, not the visual elements. The script replaces: * Manual RSI tuning * Multiple RSI variants * Separate divergence tools * Multi-timeframe RSI comparisons This level of consistency and normalization requires proprietary logic and is therefore provided as an invite-only indicator. 📌 Key Components & Intent #RSI Candles (Standard & Heikin-Ashi) Purpose: clearer momentum transitions and divergence readability. #Divergence Engine Detects: • Regular divergence • Hidden divergence • Ghost Candidate pre-divergence Purpose: identify exhaustion before price confirmation. #Adaptive RSI Zones Zones adjust based on: • Volatility • Displacement • Trend direction Purpose: eliminate static OB/OS bias. #RSI Ichimoku Cloud Shows: • Regime bias • Momentum compression/expansion • Equilibrium shifts Purpose: identify internal RSI regime transitions. #RSI Trendlines Automatically maps momentum structure. Purpose: remove manual RSI drawing. #Relative Trend Index Evaluates trend alignment across multiple timeframes. 📌 Dashboard Metrics (Contextual, Not Signal-Based) Provides a consolidated view of: • Volatility • Volume • VWAP vs price • EMA sentiment and structure • RSI and price OB/OS statistics • Relative trend alignment • ATR state and trailing stop context Purpose: decision context, not trade automation. 📌 Visual Design & Usability • Only real-time labels are displayed • Historical clutter is hidden • Consistent color and line hierarchy • Clear distinction between divergence types and momentum states This design supports institutional-style momentum reading, not signal spam. 📌 Summary Ghost Protocol is a closed-source, invite-only RSI intelligence system built on original logic. Its mashup structure is intentional, necessary, and justified, because it solves real RSI limitations that cannot be addressed by isolated tools. This script delivers clear analytical value, coherent momentum interpretation, and a professional workflow worthy of a paid publication. 📌 Recommended Use * Best on: 15m, 1H, 4H, Daily, Weekly * Works across: crypto, forex, indices, liquid equities * Pivot-style modules may show noise in illiquid markets 📌 Performance Notes * Heavy modules may draw many objects → disable unused tools * Refresh chart if buffer limits are approached * Internal handling of TradingView object rules 📌 License * Proprietary script © 2025 * Independently developed * Redistribution, sharing, resale, or decompilation prohibited * Similarities to public tools result only from shared market concepts 📌 Respect & Transparency Built using widely-recognized RSI concepts, but extended with proprietary logic. Developed with respect for the TradingView community. Any overlaps can be addressed openly and constructively. 📌 Disclaimer For educational and research use only. Not financial advice. Always test responsibly and manage risk. 📌 FAQs * Source code is intentionally private * Modules can be toggled * Alerts can be configured manually * Works on all major markets and timeframes 📌 About Ghost Trading Suite Author: BIT2BILLIONS Project: Ghost Trading Suite © 2025 Indicators: Ghost Matrix, Ghost Protocol, Ghost Cipher, Ghost Shadow Strategies: Ghost Robo, Ghost Robo Plus Pine Version: V6 The Ghost Trading Suite is designed to simplify and automate many aspects of chart analysis. It helps traders identify market structure, divergences, support and resistance levels, and momentum efficiently, reducing manual charting time. The suite includes several integrated tools — such as Ghost Matrix, Ghost Protocol, Ghost Cipher, Ghost Shadow, Ghost Robo, and Ghost Robo Plus — each combining analytical modules for enhanced clarity in trend direction, volatility, pivot detection, and momentum tracking. Together, these tools form a cohesive framework that assists in visualizing market behavior, measuring momentum, detecting pivots, and analyzing price structure effectively. This project focuses on providing adaptable and professional-grade tools that turn complex market data into clear, actionable insights for technical analysis. Crafted with 💖 by BIT2BILLIONS for Traders. That's All Folks! 📌 Changelog v1.0 – Initial Release * Added RSI Candles (Standard & Heiken-Ashi) for enhanced trend and divergence clarity. * Implemented Divergence Engine to highlight both regular and hidden divergences automatically. * Introduced Live Ghost Candidates to visualize forming divergence setups. * Added Adaptive RSI Zones for dynamic overbought and oversold thresholds. * Integrated Trend Index using percentile volatility sampling for directional bias. * Added RSI Ichimoku Cloud for equilibrium and momentum zone visualization. * Implemented RSI Trend Lines for auto support/resistance on RSI. * Added Momentum Shift Visualization and real-time momentum tracking. * Introduced Relative Trend Index for multi-timeframe trend strength analysis. * Developed Dashboard Module displaying volatility, volume, EMA trends, RSI/price overbought-oversold percentages, relative trend, and ATR-based metrics.
Pine Script® indicator
by bit2billions
V3 Multi-MA MTF Full (by RUG)This Multiple Moving Averages (MA) indicator lets you plot and compare several moving averages on the same chart to quickly read trend direction and momentum. You can configure up to 10 MAs, choosing each one’s type (for example, SMA or EMA), length (periods), and—most importantly—its own independent timeframe (for instance, a 9-period EMA on the daily timeframe while you’re viewing a 15-minute chart). This creates a clean “context layer” that blends short-, mid-, and long-term trends, helping you spot trend alignment, dynamic support/resistance zones, and key crossovers without constantly switching timeframes.
Pine Script® indicator
by OneAMPM
SilverHawk Flip Confirm (4-Step)This premium indicator identifies high-probability trend flips using a 4-step confirmation sequence (Sweep → Displacement → BOS → Retest/Hold) with zone-based filters. Core logic & how it works: - Step 1 (Sweep): price wicks through a recent Supply/Demand area or Order Block (ATR-buffered) - Step 2 (Displacement): strong candle body (ATR size + min body %) after sweep - Step 3 (BOS): price breaks previous swing high/low - Step 4 (Retest + Hold): price retests the entry zone (OB or S&D area) without breaking opposite side - Zone modes: Hybrid (S&D area + OB entry), Supply/Demand only, or Order Block only - Non-repainting option (confirmed bars only) - Timeout: max bars between steps to avoid stale setups Features: - Visual zones (boxes) for S&D areas & OBs (toggleable) - Step labels (Sweep/Disp/BOS/Retest) on signal candles - Small panel with current steps, confidence %, and perfect sequence reminder - Alerts for full flip confirmation + individual steps - Customizable zone padding, pivot lengths, ATR buffers Settings: - Zone Mode: Hybrid, Supply & Demand only, Order Block only - Use Confirmed Bars Only: non-repainting toggle - Max Bars Between Steps: timeout for sequence - Pivot lengths for S&D and BOS - ATR multipliers for sweep buffer, displacement, padding, retest tolerance - Visuals: show zones/labels/panel - Alerts: enable/disable full flip + step triggers Best used on H1–D4 timeframes in Forex or indices for spotting trend reversals or continuations after liquidity sweeps. Combine with higher-timeframe structure and risk management. Invite-only access. Educational tool only. Not financial advice. Trading involves risk.
Pine Script® indicator
by SilverHawkSuite_
Smart Liquidity & Step-TrendSmart Liquidity & Step-Trend Overview The Smart Liquidity & Step-Trend is a technical analysis tool designed to identify market manipulation points, specifically Liquidity Sweeps, and filter them using a Dynamic Multi-Timeframe (MTF) Trend. By combining Price Action concepts with institutional flow logic, this indicator helps traders spot high-probability reversal zones where "Smart Money" typically enters the market by capturing retail stop-losses. The Core Concept: Where is the Liquidity? Markets do not move randomly. Institutional players require significant liquidity to fill their large orders. This liquidity is often found where retail traders place their stop-loss orders: above obvious swing highs and below obvious swing lows. A Liquidity Sweep occurs when the price briefly breaks through these key levels to trigger stops/orders and then immediately reverses back into the range. This indicator visualizes these events as potential turning points. To increase the probability of success, the Step-Trend (EMA) provides a higher-timeframe context, ensuring you are aware of the dominant market direction. Key Features Advanced Sweep Detection: Automatically identifies false breakouts of key swing highs and lows. Dynamic MTF Logic: - Trend Filter: The EMA (Exponential Moving Average) is calculated on a timeframe of your choice (e.g., 4H) even while viewing a lower timeframe (e.g., 15m). - MTF Swings: Support and Resistance zones are derived from MTF data for higher reliability. Temporary vs. Historical Zones: - Mitigation Logic (Default): Zones are automatically deleted once the price closes through them. This keeps your chart clean, showing only active and relevant levels that haven't been "tested" yet. - History Mode: Toggle "Show Historical Zones" to keep all past levels on the chart for backtesting and analysis. ATR Filter (Zone Importance): Adjustable sensitivity to filter out market noise and focus on significant liquidity grabs. How to Trade with This Indicator 1. Trend Confluence (Recommended) This is the highest probability setup. - BUY Signal: Look for a "SUPPORT" zone (teal) forming below the price while the Step-Trend EMA indicates an uptrend. This suggests a "buy-the-dip" manipulation. Use the "Trend Confluence Buy Signal" alert. - SELL Signal: Look for a "RESISTANCE" zone (orange) forming above the price while the Step-Trend EMA indicates a downtrend. Use the "Trend Confluence Sell Signal" alert. 2. Scalping & Reversals - Users can utilize the "SUPPORT" and "RESISTANCE" zones as potential targets or quick scalp entry points even against the main trend. Use the "Any Trend" sweep alerts for this style of trading. Settings Explained - Liquidity & Trend Timeframe: The timeframe used for trend calculation and swing detection. - Swing Sensitivity: How "obvious" a high or low must be to be considered a liquidity target. - Zone Importance (ATR Filter): Defines how deep the sweep must be relative to current volatility. - Show Historical Zones: Switch between a clean chart (temporary zones) and a backtesting view (historical zones). Important Notice: No indicator is 100% accurate. This tool is intended to confirm your own analysis and trading strategies. Always use proper Risk Management and do not trade based on just one indicator. I hope this tool will help you improve your trading!
Pine Script® indicator
by mk77777
SilverHawk Scenario Matrix ProThis premium indicator scans historical price patterns and projects forward-looking scenarios based on similarity to past analogs. Core calculation & how it works: - Current window (length L) normalized for shape, volatility, RVOL, trend slope, structure - Scans up to 2000 bars back (configurable) to find top K most similar past windows - Weights similarity across shape correlation, vol regime, RVOL regime, trend slope, structure - Projects forward H bars using the matched historical paths → computes P10 (low), P50 (median), P90 (high) quantiles - Smooths projections (configurable %) to reduce noise - Calculates metrics: match quality (MatchQ), uncertainty %, confidence, regime, gate pass/fail, quality rating (A/B/WAIT) Features: - Visual projection lines (P10 red, P50 white, P90 green) with endpoint labels - Decision table: bias, confidence, MatchQ, uncertainty, regime, gate, strength, volume, near HTF, expected range - Optional smoothing on projections (0–100%) - Update modes: Locked (fixed on signal), On Close, Live - Alerts on new high-quality scenarios (optional) Settings: - Pattern length L & projection horizon H - History bars to scan & min gap from present - Top K matches to consider - Similarity weights (shape, vol, RVOL, trend, structure) - Regime thresholds & normalizers - Decision thresholds (MatchQ, confidence, uncertainty, bias) - Display: location, manual panel, smoothing %, update mode - Projection plot: show lines, colors, style Best used on H1–D1 timeframes in Forex or indices for forward-looking pattern-based forecasting and scenario planning. Combine with structure, volume confirmation and risk management. Invite-only access. Educational tool only. Not financial advice. Trading involves risk.
Pine Script® indicator
by SilverHawkSuite_
SilverHawk HTF Alignment Panel ProThis premium dashboard displays multi-timeframe trend alignment, confidence score, regime, and risk assessment in a single, easy-to-read panel. Core calculation & how it works: - Trend direction: user-selectable engine (EMA cross, price vs EMA, Supertrend) - Strength %: EMA spread relative to historical max - Volume %: current RVOL vs average - Volatility %: current ATR vs historical max - Momentum %: RSI(14) - Confidence %: weighted blend of strength, volume, volatility, momentum - Regime: expansion (high vola + strength), compression (low vola + strength), normal - Alignment %: agreement between chart TF trend + 2 higher TFs - Gate: pass if at least 2 TFs align - Risk Load: ATR relative to distance from slow EMA - Quality (A/B/WAIT): final score based on confidence, alignment, risk, regime Features: - Color-coded table (bullish green, bearish red, neutral gray) - Customizable location (top/bottom left/right) - Optional info column explaining each metric - Optional manual reference panel - High-performance rendering (fixed rows/columns) Settings: - Dashboard Location: top-left/right, bottom-left/right - Trend Engine: EMA Cross, Price vs EMA, Supertrend - EMA lengths, Supertrend period/factor - Lookbacks for strength, volume, volatility - Weights for confidence calculation - Style: header/row colors, text color, border - Extras: show manual panel, show info column Best used on H1–D1 timeframes in Forex or indices for quick multi-timeframe assessment and decision support. Combine with structure, volume confirmation and risk management. Invite-only access. Educational tool only. Not financial advice. Trading involves risk.
Pine Script® indicator
by SilverHawkSuite_
cephxs / Precision Swing Points [Pro+]PRECISION SWING POINTS (PSP) Spot institutional repositioning through divergence between correlated assets on the closing direction of the candle. THE CONCEPT Markets don't move in isolation. When ES makes a new high but NQ doesn't follow—that's SMT divergence. When Euro rallies but Pound fails to rally too—that's SMT divergence. These moments reveal where institutions are repositioning. But a Precision Swing Point (PSP) is simpler: a swing pivot where correlated assets diverge by closing direction . Example: When ES closes bullish but NQ closes bearish—that's a PSP/PC (Price Candle divergence). This indicator detects these closing direction divergences automatically and marks them on your chart. No complex setups, no manual asset pairing—just clean signals where it matters. Conceptual Credits to TraderDaye TWO MODES PSP Mode: Only marks swing pivots (highs/lows) that have closing direction divergence. This is the precision filter—fewer signals, higher quality. PC Mode: Marks every candle where closing direction divergence exists. Use this to see all divergence activity, not just at pivots. Start with PSP mode. Switch to PC mode when you want the full picture. HOW IT WORKS The indicator compares your chart against up to two correlated assets: Fetches OHLC data for correlated assets Determines if each asset's candle closed bullish or bearish Flags divergence when one asset closes opposite another In PSP mode, only highlights when divergence coincides with a swing pivot Three divergence relationships are tracked: Primary vs Secondary (e.g., ES vs NQ) Primary vs Tertiary (e.g., ES vs YM) Secondary vs Tertiary (e.g., NQ vs YM) Any divergence triggers a signal. AUTO ASSET DETECTION In Auto mode, the indicator uses the AssetCorrelationUtils library to detect your chart's asset class and automatically select correlated pairs: Index Futures: NQ ↔ ES ↔ YM, RTY ↔ NQ ↔ ES (+ micro variants) Index CFD: NAS100 ↔ SP500 ↔ DJ30 Forex Futures: 6E ↔ 6B ↔ DXY (inverted) Forex CFD: EURUSD ↔ GBPUSD ↔ DXY (inverted), USDJPY ↔ USDCHF ↔ DXY Metal Futures: GC ↔ Copper ↔ Silver (+ micro variants) Metal CFD: XAUUSD ↔ Copper ↔ XAGUSD Energy Futures: CL ↔ RB ↔ HO (Crude ↔ Gasoline ↔ Heating Oil) Treasury Futures: ZB ↔ ZF ↔ ZN (30Y ↔ 5Y ↔ 10Y) Crypto: BTC ↔ ETH ↔ TOTAL3 EU Stocks: GER40 ↔ EU50 (dyad) No configuration required—just add to chart and go. HOW TO USE Add to chart: Auto mode detects correlated assets automatically Watch for circles: Bullish PSP = circle below bar. Bearish PSP = circle above bar. Note the context: PSPs at key levels (PDH, PDL, weekly open) carry more weight Confirm on LTF: Use PSPs as directional bias, enter on lower timeframe structure Layer with other tools: PSP + sweep + FVG = high-probability setup INPUTS PSP Settings Mode: PSP (swing pivots only) or PC (all divergence candles) Precise Mode: Only highlight pivots on current asset (stricter confirmation) Display Settings Bullish/Bearish Shapes: Toggle and color the divergence markers Color Candle Bodies: Highlight the actual candle, not just add a shape Asset Selection Correlation Preset: Off, Auto (library-detected), or Manual Manual Assets 1/2/3: Specify custom correlated assets Invert Asset 3: Flip bullish/bearish for inverse correlations (e.g., DXY) Alerts Bullish PSP Alert: Notify on bullish divergence pivots Bearish PSP Alert: Notify on bearish divergence pivots TPD Alert: Notify on any Terminus Price Divergence KEY FEATURES Auto Asset Detection: No manual setup—library handles correlation pairing Dynamic Reordering: When you switch charts, assets reorder so chart is always primary Inverse Correlation Support: Properly handles DXY and other inversely correlated assets Two Modes: PSP for precision, PC for full divergence visibility Precise Mode: Stricter filtering—only pivots on your chart, not correlated assets Built-in Alerts: Get notified when PSPs form BEST PRACTICES Use PSP mode for trading signals, PC mode for market context PSPs at session opens, previous day levels, or weekly boundaries = stronger signals Multiple PSPs in same direction = building momentum A failed PSP (price continues through) often becomes a runner—don't chase Trust the Auto mode pairing—it's tuned for common institutional correlations DISCLAIMER This indicator is for educational purposes only and does not constitute financial advice. Divergences do not guarantee reversals—always use proper risk management and confirm with your own analysis. Past performance does not guarantee future results. CREDITS Developed by cephxs. Uses the AssetCorrelationUtils library by fstarcapital for auto asset detection. Made with ❤️ by cephxs This is a reupload to comply with emoji rules. Former script was hidden because of emojis in the title. First Upload was around May on another account that got banned Second Upload was Last Year on this account - Oct 17, 2025, got hidden for violating emoji rules. This is the third Upload, and as usual, it comes with improvements. Never a step backwards.
Pine Script® indicator
by fstarcapital
SilverHawk Market Decision Panel ProThis premium dashboard aggregates multiple market metrics into a single, easy-to-read panel to help make faster trading decisions. Core calculation & concepts: - Trend direction: EMA cross, price vs EMA, or Supertrend (user-selectable) - Strength/Confidence %: weighted blend of trend force (EMA spread vs max), volume (RVOL vs avg), volatility (ATR vs max), momentum (RSI) - Regime detection: expansion (high vola + strength), compression (low vola + strength), normal - Risk Load: ATR relative to distance from EMA (lower = better entry) - Quality rating (A/B/C): final score based on confidence, alignment, risk, regime Features: - Clean table layout (customizable location: top-left/right, bottom-left/right) - Color-coded status (bullish/green, bearish/red, neutral/gray) - Optional info column explaining each metric - Optional manual reference panel - High-performance (fixed rows/columns, no excessive objects) Settings: - Dashboard Location: top-left/right, bottom-left/right - Trend Engine: EMA Cross, Price vs EMA, Supertrend - EMA lengths, Supertrend period/factor - Lookbacks for strength, volume, volatility - Weights for confidence calculation (adjustable) - Style: header/row colors, text color, border - Extras: show manual panel, show info column Best used on H1–D1 timeframes in Forex or indices for quick market assessment and decision support. Combine with structure, volume confirmation and risk management. Invite-only access. Educational tool only. Not financial advice. Trading involves risk.
Pine Script® indicator
by SilverHawkSuite_
Confirmation Candle (BUY Always Above EMA)- How to interpret signals Only react to BUY labels, not CONF by itself. CONF is just a “possible setup starting.” X means “setup invalidated — ignore it.” BUY means “setup passed all filters.” - Suggested manual trade usage (if you’re trading it) Entry idea: enter at close of BUY candle or next candle open Risk management: you decide (this is an indicator, not a strategy) Common choices: below the CONF candle low, ATR stop, or below EMA
Pine Script® indicator
by Nitishnsp
ARX Killzone Session Flags (UK)This script provides minimal session time flags for London and New York, designed to offer time-based context only. It marks the start and end of predefined session windows using small, non-intrusive labels directly on the chart. The script automatically adjusts for UK daylight saving time (GMT / BST) using the Europe/London timezone, requiring no manual changes throughout the year. This tool does not generate trade signals, does not analyse price, and does not provide execution guidance. Educational and contextual use only. Not financial advice.
Pine Script® indicator
by ARX_PriceTime
PSAR Laboratory [DAFE]PSAR Laboratory : The Ultimate Adaptive Trailing Stop & Reversal Engine 23 Advanced Algorithms. Adaptive Acceleration. Smart Flip Logic. Parabolic SAR Reimagined. █ PHILOSOPHY: WELCOME TO THE LABORATORY The standard Parabolic SAR, created by the legendary J. Welles Wilder Jr., is a tool of beautiful simplicity. But in today's complex, algorithm-driven markets, its simplicity is its fatal flaw. Its fixed acceleration and rigid flip logic cause it to fail precisely when you need it most: it whipsaws in choppy conditions and gives back too much profit in strong trends. The PSAR Laboratory was not created to be just another PSAR. It was engineered to be the definitive evolution of Wilder's original concept. This is not an indicator; it is a powerful, interactive research environment. It is a sandbox where you, the trader, can move beyond the static "one-size-fits-all" approach and forge a PSAR that is perfectly adapted to your specific market, timeframe, and trading style. We have deconstructed the very DNA of the Parabolic SAR and rebuilt it from the ground up, infusing it with modern quantitative techniques. The result is an institutional-grade suite of 23 distinct, mathematically diverse algorithms that dynamically control every aspect of the PSAR's behavior. █ WHAT MAKES THIS A "LABORATORY"? THE CORE INNOVATIONS This tool stands in a class of its own. It is a collection of what could be 23 separate indicators, all seamlessly integrated into one powerful engine. The 23 Algorithm Engine: This is the heart of the Laboratory. Instead of one rigid formula, you have a library of 23 unique mathematical engines at your command. These algorithms are not simple tweaks; they are complete re-imaginings of how the PSAR should behave, based on concepts from information theory, digital signal processing, fractal geometry, and institutional analysis. Truly Adaptive Acceleration (AF): The standard PSAR's "gas pedal" (the AF) is dumb; it accelerates at a fixed rate. Our algorithms make it intelligent. The AF can now speed up in clean, trending environments to lock in profits, and automatically slow down in choppy, chaotic conditions to avoid whipsaws. Advanced Flip Confirmation Logic: Say goodbye to noise-driven flips. You are no longer at the mercy of a single wick touching the SAR. The Laboratory provides multiple layers of flip confirmation, including requiring a bar close beyond the SAR, a volume spike to validate the reversal, or even a multi-bar confirmation . Comprehensive Noise Filtering Core: In a revolutionary step, you can apply one of over 30 advanced signal processing filters directly to the SAR output itself. From ultra-low-lag filters like the Hull MA and DAFE Spectral Laguerre to adaptive filters like KAMA and FRAMA , you can surgically remove noise while preserving the responsiveness of the core signal. Integrated Performance Engine: How do you know which of the 23 algorithms is best for your market? You test it. The built-in Performance Dashboard is a comprehensive backtesting and analytics engine that tracks every trade, providing real-time data on Win Rate, Profit Factor, Max Drawdown, and more. It allows you to scientifically validate your chosen configuration. █ A GUIDED TOUR OF THE ALGORITHMS: 23 PATHS TO AN EDGE b]These 23 algorithms are not simple settings; they are distinct mathematical philosophies for how a Parabolic SAR should adapt to the market. They are grouped into three primary categories: those that adapt the Acceleration Factor (AF) , those that enhance the Extreme Point (EP) detection, and those that redefine the Flip Logic . CATEGORY A: ACCELERATION FACTOR (AF) ADAPTATION These algorithms dynamically change the "gas pedal" of the PSAR. 1. Volatility-Scaled AF Core Concept: Treats volatility as market friction. The PSAR should be more forgiving in high-volatility environments. How It Works: It calculates a Volatility Ratio by comparing the short-term ATR to the long-term ATR. If current volatility is high (ratio > 1), it reduces the AF Step. If volatility is low (ratio < 1), it increases the AF Step to trail tighter. Ideal Use Case: The best all-rounder. Excellent for any market, especially those with clear shifts between high and low volatility regimes (like indices and crypto). 2. Efficiency Ratio (ER) AF Core Concept: The PSAR should accelerate aggressively in clean, efficient trends and slow down dramatically in choppy, inefficient markets. How It Works: It uses Kaufman's Efficiency Ratio (ER), which measures the net directional movement versus the total price movement. A high ER (near 1.0) signifies a pure trend, triggering a high AF multiplier. A low ER (near 0.0) signifies chop, triggering a low AF multiplier. Ideal Use Case: Markets that alternate between strong trends and sideways chop. It is exceptionally good at surviving ranging periods. 3. Shannon Entropy AF Core Concept: Uses Information Theory to measure market disorder. The PSAR should be conservative in chaos and aggressive in order. How It Works: It calculates the Shannon Entropy of recent price changes. High entropy means the market is unpredictable ("chaotic"), causing the AF to slow down. Low entropy means the market is organized and trending, causing the AF to speed up. Ideal Use Case: Advanced traders looking for a mathematically pure way to distinguish between a tradable trend and random noise. 4. Fractal Dimension (FD) AF Core Concept: Measures the "jaggedness" or complexity of the price path. A smooth path is a trend; a jagged, space-filling path is chop. How It Works: It calculates the Fractal Dimension of the price series. An FD near 1.0 is a smooth line (high AF). An FD near 1.5 is a random walk (low AF). Ideal Use Case: Visually identifying the moment a smooth trend begins to break down into chaotic, unpredictable movement. 5. ADX-Gated AF Core Concept: Uses the classic ADX indicator to confirm the presence of a trend before allowing the PSAR to accelerate. How It Works: If the ADX value is above a "Strong" threshold (e.g., 25), the AF accelerates normally. If the ADX is below a "Weak" threshold (e.g., 15), the AF is "frozen" and will not increase, preventing the SAR from tightening up in a non-trending market. Ideal Use Case: For classic trend-following purists who trust the ADX as their primary regime filter. 6. Kalman AF Estimator Core Concept: A sophisticated signal processing algorithm that predicts the "true" optimal AF by filtering out price "noise." How It Works: It treats the PSAR's AF as a state to be estimated. It makes a prediction, then corrects it based on how far the actual price deviates. It's like a GPS constantly refining its position. The "Process Noise" input controls how fast it thinks the AF can change, while "Measurement Noise" controls how much it trusts the price data. Ideal Use Case: Smooth, high-inertia markets like commodities or major forex pairs. It creates an incredibly smooth and responsive AF. 7. Volume-Momentum AF Core Concept: A trend's acceleration is only valid if confirmed by both volume and price momentum. How It Works: The AF will only increase if a new Extreme Point is made on above-average volume AND the Rate of Change (ROC) of the price is aligned with the trend's direction. Ideal Use Case: Any market with reliable volume data (stocks, futures, crypto). It's excellent for filtering out low-conviction moves. 8. Garman-Klass (GK) AF Core Concept: Uses a more advanced, statistically efficient measure of volatility (Garman-Klass, which uses OHLC data) to adapt the AF. How It Works: It modulates the AF based on whether the current GK volatility is higher or lower than its historical average. Unlike the standard Volatility-Scaled algo, it tends to slow down more in high volatility and speed up less in low volatility, making it more conservative. Ideal Use Case: Traders who want a volatility-adaptive model that is more focused on risk reduction during volatile periods. 9. RSI-Modulated AF Core Concept: The RSI can identify points of potential trend exhaustion or strong momentum. How It Works: If a trend is bullish but the RSI enters the "Overbought" zone, the AF slows down, anticipating a pullback. Conversely, if the RSI is in the strong momentum mid-range (40-60), the AF is boosted to trail more aggressively. Ideal Use Case: Mean-reversion traders or those who want to automatically loosen their trail stop near potential exhaustion points. 10. Bollinger Squeeze AF Core Concept: A Bollinger Band Squeeze signals a period of volatility compression, often preceding an explosive breakout. How It Works: When the algorithm detects that the Bollinger Band Width is in a "Squeeze" (below a certain historical percentile), it boosts the AF in anticipation of a fast move, allowing the PSAR to catch the breakout quickly. Ideal Use Case: Breakout traders. This algorithm primes the PSAR to be maximally responsive right at the moment a breakout is most likely. 11. Keltner Adaptive AF Core Concept: Keltner Channels provide a robust measure of a trend's "normal" volatility channel. How It Works: When price is trading strongly outside the Keltner Channel, it's considered a powerful trend, and the AF is boosted. When price falls back inside the channel, it's considered a consolidation or pullback, and the AF is slowed down. Ideal Use Case: Trend followers who use channel breakouts as their primary confirmation. 12. Choppiness-Gated AF Core Concept: Uses the Choppiness Index to quantify whether the market is trending or consolidating. How It Works: If the Choppiness Index is below the "Trend" threshold (e.g., 38.2), the AF is boosted. If it's above the "Range" threshold (e.g., 61.8), the AF is significantly reduced. Ideal Use Case: A more responsive alternative to the ADX-Gated algorithm for distinguishing between trending and ranging markets. 13. VIDYA-Style AF Core Concept: Uses a Chande Momentum Oscillator (CMO) to create a variable-speed acceleration factor. How It Works: The absolute value of the CMO is used to create a dynamic smoothing constant. Strong momentum (high absolute CMO) results in a faster, more responsive AF. Weak momentum results in a slower, smoother AF. Ideal Use Case: Momentum traders who want their trailing stop's speed directly tied to the momentum of the price itself. 14. Hilbert Cycle AF Core Concept: Uses Ehlers' Hilbert Transform to extract the dominant cycle period of the market and synchronizes the PSAR with it. How It Works: It dynamically adjusts the AF based on the detected cycle period (shorter cycles = faster AF) and can also modulate it based on the current phase within that cycle (e.g., accelerate faster near cycle tops/bottoms). Ideal Use Case: Markets with clear cyclical behavior, like commodities and some forex pairs. CATEGORY B: EXTREME POINT (EP) ENHANCEMENT These algorithms make the detection of new highs/lows more intelligent. 15. Volume-Weighted EP Core Concept: A new high or low is more significant if it occurs on high volume. How It Works: It can be configured to only accept a new EP if the volume on that bar is above average. It can also "weight" the EP by volume, pushing it further out on high-volume bars. Ideal Use Case: Filtering out weak, low-conviction price probes in markets with reliable volume. 16. Wavelet Filtered EP Core Concept: Uses wavelet decomposition (a signal processing technique) to separate the underlying trend from high-frequency noise. How It Works: It calculates a smoothed, wavelet-filtered version of the price. A new EP is only registered if the actual high/low significantly exceeds this smoothed baseline, effectively ignoring minor noise spikes. Ideal Use Case: Noisy markets where small, insignificant wicks can cause the AF to accelerate prematurely. 17. ATR-Validated EP Core Concept: A new EP should represent a meaningful move, not just a one-tick poke. How It Works: It requires a new high/low to exceed the previous EP by a minimum amount, defined as a multiple of the current ATR. This ensures only volatility-significant advances are counted. Ideal Use Case: A simple, robust way to filter out "noise" EPs and slow down the AF's acceleration in choppy conditions. 18. Statistical EP Filter Core Concept: A new EP is only valid if the price change that created it is statistically significant. How It Works: It calculates the Z-Score of the bar's price change relative to recent history. A new EP is only accepted if its Z-Score exceeds a certain threshold (e.g., 1.5 sigma), meaning it was an unusually strong move. Ideal Use Case: For quantitative traders who want to ensure their trailing stop only tightens in response to statistically meaningful price action. CATEGORY C: FLIP LOGIC & CONFIRMATION These algorithms change the very rules of when and why the PSAR reverses. 19. Dual-PSAR Gate Core Concept: Uses two PSARs—one fast and one slow—to confirm a reversal. How It Works: A flip signal for the main PSAR is only considered valid if both the fast (sensitive) PSAR and the slow (structural) PSAR have flipped. This acts as a powerful trend filter. Ideal Use Case: An excellent method for reducing whipsaws. It forces the PSAR to wait for both short-term and longer-term momentum to align before signaling a reversal. 20. MTF Coherence PSAR Core Concept: Do not flip against the higher timeframe macro trend. How It Works: It pulls PSAR data from two higher timeframes. A flip is only allowed if the new direction does not contradict the trend on at least one (or both) of those higher timeframes. It also boosts the AF when all timeframes are aligned. Ideal Use Case: The ultimate tool for multi-timeframe traders who want to ensure their entries and exits are in sync with the bigger picture. 21. Momentum-Gated Flip Core Concept: A reversal is only valid if it is supported by a significant surge of momentum. How It Works: A price cross of the SAR is not enough. The script also requires the Rate of Change (ROC) to exceed a certain threshold for a set number of bars, confirming that there is real force behind the reversal. Ideal Use Case: Filtering out weak, drifting reversals and only taking signals that are initiated with explosive power. 22. Close-Only PSAR Core Concept: Wicks are noise; the bar's close is the final decision. How It Works: This algorithm modifies the flip logic to ignore wicks. A flip only occurs if one or more bars close beyond the SAR line. Ideal Use Case: One of the most effective and simple ways to reduce false signals from volatile wicks. A fantastic default choice for any trader. 23. Ultimate PSAR Consensus Core Concept: The highest conviction signal comes from the agreement of multiple, diverse mathematical models. How It Works: This is the capstone algorithm. It runs a "vote" between a selection of the top-performing algorithms (e.g., Volatility-Scaled, Efficiency Ratio, Dual-PSAR). A flip is only signaled if a majority consensus is reached. It can even weight the votes based on each algorithm's recent performance. Ideal Use Case: For traders who want the absolute highest level of confirmation and are willing to accept fewer, but more robust, signals. █ PART II: THE NOISE FILTERING CORE - The Shield This is a revolutionary feature that allows you to apply a second layer of signal processing directly to the SAR line itself, surgically removing noise before the flip logic is even considered. FILTER CATEGORIES Basic Filters (SMA, EMA, WMA, RMA): The classic moving averages. They provide basic smoothing but introduce significant lag. Best used for educational purposes. Low-Lag Filters (DEMA, TEMA, Hull MA, ZLEMA): A family of filters designed to reduce the lag inherent in basic moving averages. The Hull MA is a standout, offering a superb balance of smoothness and responsiveness. Adaptive Filters (KAMA, VIDYA, FRAMA): These are "smart" filters. They automatically adjust their smoothing level based on market conditions. They will be very smooth in choppy markets and become highly responsive in trending markets. Advanced DSP & DAFE Filters: This is the pinnacle of signal processing. Ehlers Filters (SuperSmoother, 2-Pole, 3-Pole): Based on the work of John Ehlers, these use digital signal processing techniques to remove high-frequency noise with minimal lag. Gaussian & ALMA: These use a bell-curve weighting, giving the most importance to recent data in a smooth, non-linear fashion. DAFE Spectral Laguerre: A proprietary, non-linear filter that uses a feedback loop and adapts its "gamma" based on volatility, providing exceptional tracking in all market conditions. How to Choose a Filter Start with "None": First, find an algorithm you like with no filtering to understand its raw behavior. Introduce Low Lag: If you are getting too many whipsaws from noise, apply a short-length Hull MA (e.g., 5-8). This is often the best solution. Go Adaptive: If your market has very distinct trend/chop regimes, try an Adaptive KAMA . Maximum Purity: For the smoothest possible output with excellent responsiveness, use the DAFE Spectral Laguerre or Ehlers SuperSmoother . █ THE VISUAL EXPERIENCE: DATA AS ART The PSAR Laboratory is not just functional; it is beautiful. The visualization engine is designed to provide you with an intuitive, at-a-glance understanding of the market's state. Algorithm-Specific Theming: Each of the 23 algorithms comes with its own unique, professionally designed color palette. This not only provides visual variety but allows you to instantly recognize which engine is active. Dynamic Glow Effects: For many algorithms, the PSAR dots will emit a soft "glow." The brightness and color of this glow are not random; they are tied to a key metric of the active algorithm (e.g., trend strength, volatility, consensus), providing a subtle, visual cue about the health of the trend. Adaptive Volatility Bands: Certain algorithms will display dynamic bands around the PSAR. These are not standard deviation bands; their width is controlled by the specific logic of the active algorithm, showing you a visual representation of the market's expected range or energy level. Secondary Reference Lines: For algorithms like the Dual-PSAR or MTF Coherence, a secondary line will be plotted on the chart, giving you a clear visual of the underlying data (e.g., the slow PSAR, the HTF trend) that is driving the decision-making process. █ THE MASTER DASHBOARD: YOUR MISSION CONTROL The comprehensive dashboard is your unified command center for analysis and performance tracking. Engine Status: See the currently selected Algorithm, the active Noise Filter, the Trend direction, and a real-time progress bar of the current Acceleration Factor (AF). Algorithm-Specific Metrics: This is the most powerful section. It displays the key real-time data from the currently active algorithm. If you're using "Shannon Entropy," you'll see the Entropy score. If you're using "ADX-Gated," you'll see the ADX value. This gives you a direct, quantitative look under the hood. Performance Readout: When enabled, this section provides a full breakdown of your backtesting results, including Win Rate, Profit Factor, Net P&L, Max Drawdown, and your current trade status. █ DEVELOPMENT PHILOSOPHY The PSAR Laboratory was born from a deep respect for Wilder's original work and a relentless desire to push it into the 21st century. We believe that in modern markets, static tools are obsolete. The future of trading lies in adaptation. This indicator is for the serious trader, the tinkerer, the scientist—the individual who is not content with a black box, but who seeks to understand, test, and refine their edge with surgical precision. It is a tool for forging, not just following. The PSAR Laboratory is designed to be the ultimate tool for that evolution, allowing you to discover and codify the rules that truly fit you. █ DISCLAIMER AND BEST PRACTICES THIS IS A TOOL, NOT A STRATEGY: This indicator provides a sophisticated trailing stop and reversal signal. It must be integrated into a complete trading plan that includes risk management, position sizing, and your own contextual analysis. TEST, DON'T GUESS: The power of this tool is its adaptability. Use the Performance Dashboard to rigorously test different algorithms and settings on your chosen asset and timeframe. Find what works, and build your strategy around that data. START SIMPLE: Begin with the "Volatility-Scaled AF" algorithm, as it is a powerful and intuitive all-rounder. Once you are comfortable, begin experimenting with other engines. RISK MANAGEMENT IS PARAMOUNT: All trading involves substantial risk. The backtesting results are hypothetical and do not account for slippage or psychological factors. Never risk more capital than you are prepared to lose. "I don't think traders can follow rules for very long unless they reflect their own trading style. Eventually, a breaking point is reached and the trader has to quit or change, or find a new set of rules he can follow. This seems to be part of the process of evolution and growth of a trader." — Ed Seykota, Market Wizard Taking you to school. - Dskyz, Trade with Volume. Trade with Density. Trade with DAFE
Pine Script® indicator
by DskyzInvestments
2
Luminous Market Flux [Pineify]Luminous Market Flux - Dynamic Volatility Channel with Breakout Detection The Luminous Market Flux indicator is a sophisticated volatility-based trading tool that combines dynamic channel analysis with breakout detection and squeeze identification. This indicator helps traders visualize market conditions by creating an adaptive envelope around price action, highlighting periods of compression (low volatility) and expansion (high volatility) while generating actionable buy and sell signals at key breakout moments. Key Features Dynamic volatility channel that adapts to changing market conditions using ATR-based calculations Visual squeeze detection system that warns traders when volatility is contracting Automatic breakout signal generation for both bullish and bearish scenarios Luminous gradient fill that provides instant visual feedback on price position within the channel Bar coloring feature that highlights strong volatility breakouts Built-in alert conditions for automated trading notifications How It Works The indicator operates on three core calculation layers: 1. Baseline Calculation (Central Tendency) The foundation uses a Running Moving Average (RMA) of the closing price over the specified Flux Length period. RMA was specifically chosen over SMA or EMA because it provides smoother trend detection similar to how RSI and ATR calculations work, reducing noise while maintaining responsiveness to genuine price movements. 2. Volatility Measurement The channel width is determined by the Average True Range (ATR) multiplied by the Flux Expansion Factor. ATR captures the true volatility of the market by accounting for gaps and limit moves, making the channel responsive to actual market conditions rather than just closing price variations. 3. Squeeze Detection Logic The indicator compares the current channel width against a 100-period simple moving average of historical channel widths. When the current range falls below 80% of this average, a squeeze condition is identified, signaling that volatility is compressing and a significant move may be imminent. Trading Ideas and Insights Breakout Trading: Enter long positions when price breaks above the upper flux channel with a BUY signal, and short positions when price breaks below the lower channel with a SELL signal. These breakouts indicate strong momentum in the direction of the move. Squeeze Anticipation: When squeeze circles appear at the top of the chart, prepare for a potential explosive move. Squeezes often precede significant breakouts as the market coils before releasing energy in one direction. Trend Confirmation: Use the bar coloring feature to confirm trend strength. Colored bars indicate that price is trading outside the volatility envelope, suggesting strong directional momentum. Mean Reversion: When price is within the channel (no bar coloring), the gradient fill helps identify whether price is closer to the upper or lower boundary, potentially useful for mean-reversion strategies. How Multiple Indicators Work Together This indicator integrates several technical concepts into a cohesive system: The RMA baseline provides the trend anchor, while the ATR-based envelope adapts to volatility conditions. These two components work together to create a channel that expands during volatile periods and contracts during quiet markets. The squeeze detection layer adds a third dimension by comparing current volatility to historical norms, alerting traders when the market is unusually quiet. The visual elements reinforce this analysis: the gradient fill shows price position within the channel at a glance, bar coloring confirms breakout strength, and shape markers provide discrete entry signals. This multi-layered approach ensures traders receive consistent information across different visualization methods. Unique Aspects The "Luminous" visual design uses color gradients that dynamically shift based on price position, creating an intuitive heat-map effect within the channel Unlike traditional Bollinger Bands that use standard deviation, this indicator uses ATR for volatility measurement, making it more responsive to actual price range movements The squeeze detection compares current volatility to a longer-term average (100 periods), providing context-aware compression signals rather than arbitrary thresholds Signal generation uses proper state tracking to ensure breakout signals only fire on the initial breakout, not on every bar during an extended move How to Use Add the indicator to your chart. It will overlay directly on price with the volatility channel visible. Watch for BUY labels appearing below bars when price breaks above the upper channel - these indicate bullish breakout opportunities. Watch for SELL labels appearing above bars when price breaks below the lower channel - these indicate bearish breakout opportunities. Monitor for small circles at the top of the chart indicating squeeze conditions - prepare for potential breakouts when these appear. Use the colored bars as confirmation of breakout strength - green bars confirm bullish momentum, red bars confirm bearish momentum. Set up alerts using the built-in alert conditions to receive notifications for buy signals, sell signals, and squeeze warnings. Customization Flux Length (default: 20): Controls the lookback period for both the baseline and ATR calculations. Lower values create more responsive but noisier channels; higher values create smoother but slower-reacting channels. Flux Expansion Factor (default: 2.0): Multiplier for the ATR value that determines channel width. Higher values create wider channels with fewer signals; lower values create tighter channels with more frequent signals. Smooth Signal : Toggle for signal smoothing preference. Bullish Energy : Customize the color for bullish breakouts and upper channel highlights. Bearish Energy : Customize the color for bearish breakouts and lower channel highlights. Compression/Neutral : Customize the color for squeeze indicators and neutral channel states. Conclusion The Luminous Market Flux indicator provides traders with a comprehensive volatility analysis tool that combines channel-based trend detection, squeeze identification, and breakout signaling into a single, visually intuitive package. By using ATR-based volatility measurement and RMA smoothing, the indicator adapts to changing market conditions while filtering out noise. Whether you are a breakout trader looking for momentum entries or a swing trader waiting for volatility expansion after compression periods, this indicator offers the visual clarity and signal precision needed to make informed trading decisions.
Pine Script® indicator
by Pineify
FlowMap / Flowly IndicatorsIntroducing FlowMap FlowMap is built to be minimal, yet a powerful tool for navigating orderflow with all key concepts baked into one. Concepts 💧 Liquidity Heatmap 🌀 Internal Flow 🔅 Value Area & POC 🔥 Liquidations On top of the concepts themselves, FlowMap supports a wide range of features for backtesting orderflow events as well as automating workflows using alerts and scanning with PineScreener. Features 🧪 Signal builder 📊 Backtesting & Analytics 🔔 Custom alerts 📡 Custom scans FlowMap can be used on all timeframes and charts available on TradingView. FlowMap differs from traditional orderflow tools by detecting key orderflow events algorithmically using price and volume, rather than using direct exchange trade feed. This approach comes with its own unique advantages and disadvantages, which are discussed further ahead. For getting access to FlowMap, see "Author's instructions" section. Please review "Limitations & considerations" also. Let’s go over in detail all the concepts, key features and how to use FlowMap in practical ways. 💧 Liquidity Heatmap Before jumping into the heatmap itself, let's first go over what liquidity is. Liquidity refers to buy and sell orders placed in an orderbook at various price levels. Depth of liquidity refers to how many buy and sell orders are clustered around various price levels. Deep liquidity Buy/sell orders that are clustered around narrow area in price -> Price struggles to move to higher/lower prices, hard passage Thin liquidity Buy/sell orders that are spread out across a larger area -> Price doesn't struggle to move to higher/lower prices, easy passage As every buy order needs a seller and every sell order needs a buyer, price naturally finds resistance at deep liquidity where resting limit orders are overwhelming incoming market orders. Here’s a ballpark illustration of how price can be expected to react at deep vs. thin liquidity. FlowMap is built to detect only deep liquidity where price is likely to find resistance. Deep liquidity is detected using specific type of turns in price that signal an underlying liquidity pool, responsible for the turn. When a liquidity pool is detected, FlowMap estimates its depth using volume traded at the pool. The larger the estimated liquidity pool, the larger the line and brighter the color. Deep liquidity can also be gauged by looking for multiple overlapping lines. Liquidity pool manipulation FlowMap also highlights events where a liquidity pool is exceeded and price closes back in, referred to as manipulation. The idea behind manipulation is to identify extremes where traders have sold or bought into overwhelming limit orders set by larger players, leaving the participating traders as exit liquidity. When market psychology starts to play out, these traders are compelled to cover their losses, further fueling a reversal. 🌀 Internal Flow Internal Flow displays unusual volume activity taking place inside a candle, highlighted in a heatmap style - brighter color corresponding to higher volume. In simple terms, Internal Flow shows an X-ray view of activity inside candles, revealing high value orders and key flows. How Internal Flow is calculated Internal Flow is calculated using lower timeframe price moves and the volume associated with them. For example, on 1H chart FlowMap goes over 60x1 minute price moves inside the candle, assesses their volume and visualizes unusual activity. FlowMap automatically chooses an appropriate lower timeframe that maintains same level of accuracy across all charts and timeframes. 🔅 Value Area & POC Sometimes a candle does not have high value orders or extreme activity, but it is regardless useful to know where most volume and highest volume was traded. Value Area displays area in each candle where 70% (customizable) of the volume was traded, visualized using a blue box. Point of Control (POC), displays point in price where highest amount of volume was traded, visualized using a black horizontal line. How Value Area & POC are calculated Like with Internal Flow, Value Area and POC are also calculated using lower timeframe price moves. Using same 1H chart example, FlowMap goes over 60x1 minute price moves inside the candle to calculate range where 70% of all volume was traded (Value Area). Point of control (POC) is defined as closing price of the lower timeframe candle where largest volume occurred. Value area is then calculated starting from this point, progressively calculating an area to the upside and downside, until the area captures 70% of all trading volume. 🔥 Liquidations Liquidations are detected by a complex algorithm that uses volume and price anomalies to identify events where traders were forcefully liquidated. In simple terms, liquidations signify traders who have suffered significant losses and pain, leaving price exhausted and creating a window of opportunity for a reversal/halt in price. Size of the bubbles indicate estimated amount of realized liquidations. The bigger the bubble, the more liquidations. 🧪 Signal builder Signal builder can be used to build custom orderflow based signals using any single event or combining multiple. Once signal is defined and built, it can be used for backtesting, creating alerts and market scans. The following events are available for creating a signal: - Liquidations - Liquidity pool sweeps - Liquidity pool confirmed - Manipulation Signals can be previewed on chart visually, showing where they have historically triggered. Preview mode also shows backtest metrics for each signal. 📊 Backtest & Analytics Once conditions are defined using Signal builder, FlowMap detects each occurrence of the signal and measures its performance using price and volume metrics, shown on the right side table. 1. Amount of signals Amount of signals shows how many times the custom signal has occurred through the chart’s history. 2. Volume test Volume test refers to how much volume traded at signal is above/below average volume. This concept is also known as relative volume, comparing current volume traded to a historical average (average of 20 historical candles). Example: When volume gain is +30%, volume traded at signal is typically 30% higher than average. Volume test allows us to validate and measure liquidity depth typically found when signal fires. 3. Highs/lows hold test Highs/lows hold test measures likelihood of price staying above signal low price (bullish impact test) and staying below signal high price (bearish impact test). This test is measured for 3 candles after signal confirmation, giving us an idea of resistance in price. Example: Highs hold score of 66% indicates two out of three candles after a signal stay below signal high price, indicating price at least stops trending up most of the time. 4. Max. run test Max. run test measures maximum price increase (bullish impact test) and decrease (bearish impact test) after a confirmed signal, expressed in percentage change. Max. run is calculated by measuring highest/lowest price within 3 candles after a signal, compared to signal closing price. This test gives an idea for typical reversal magnitude. Example: Max. run up score of +1.2% indicates that a signal typically leads to 1.2% upside move. Together, FlowMap's backtesting can be used to form evidence based trade thesis/ideas and get a sense for what is reasonable to expect from various orderflow events. The backtest results will always vary from chart to chart and conditions selected for a signal, which is good to keep in mind. Users should also note that the metrics are guidelines, historical performance does not guarantee future results . 🔔 Creating alerts Custom signals can also be used for alerts. Once we have defined the conditions for the signal we wish to get notified on, we can enable an alert for it using TradingView's alert menu. 📡 Creating scans In the same way, custom signals can be used for market scans using PineScreener. PineScreener allows scanning custom watchlists for signals using any indicator, including FlowMap. Head to PineScreener and select FlowMap under Indicators to prepare for a scan. Scroll down in FlowMap's settings menu to find all available events. In this example, we're scanning for downside liquidations. Once we have selected downside liquidation from the events, let's click "Apply" to save the changes. To scan the selected watchlist of charts, set “Custom signal” to “True”. Then just click “Scan”. PineScreener will begin to look for charts where downside liquidation has recently occurred, shown as a list of symbols where signal was found. We can see that PineScreener found a downside liquidation on MSFT (Microsoft). We can then hop over to TradingView and open up Microsoft's chart to confirm a downside liquidation is indeed there. ❓ Limitations and considerations FlowMap is based on algorithmic orderflow, which significantly differs from orderbook based orderflow. That being said, FlowMap has some unique advantages and disadvantages that users should be aware of. 1. Advantages vs. disadvantages ✅ Reduced noise, clearer read on orderflow ✅ Can be validated using backtesting ✅ Can be used for alerts and market scans ❌ Some orderflow events have a slight delay (see below) ❌ Not based on volume tick data 2. Confirmation times Due to the nature of algorithmic orderflow, some events are not detected in real-time. The algorithm powering FlowMap is designed to be at a sweet spot for less noise/more accurate indications without sacrificing reasonable confirmation times. Liquidity pool sweep : ⚡️ Real-time, no delays Liquidity pool sweeps are detected real-time, drawn as they develop without delays. Value area & POC : ⚡️ Real-time, no delays Value area & POC are calculated real-time, drawn as they develop without delays. Internal Flow : ⚡️ Real-time, no delays High value trades shown by Internal Flow are real-time, drawn as they develop without delays. Liquidations : ⏱️ On candle close Liquidation conditions are checked on candle close, after which they are considered confirmed. Manipulation : ⏱️ On candle close Manipulation pattern confirms once price has closed back inside exceeded liquidity pool. Liquidity pool confirmation : ⏱️ 2-3 candle delay Liquidity pools are confirmed on average in 2-3 candles after a qualifying turn in price. 3. TradingView related limitations While FlowMap can be used on free plans, due to TradingView related restrictions some functionality are available only for users with a paid plan. Internal Flow and Value Area & POC on 1 minute charts Internal Flow and Value Area & POC can be used on 1 minute timeframe only if you have a Premium plan or above (as of writing this guide). This is due to TradingView restricting seconds based timeframes only for these plans, which FlowMap uses on 1 minute charts. Market scans Market scans using PineScreener are only available if you have a Premium plan or above (as of writing this guide). All other functionality of FlowMap works the same way for free plans. 💡 How to use FlowMap FlowMap is a simple, yet a powerful tool allowing one to see inside charts and identify when the flows are favorable. Let's cover a few practical ways on how to take advantage of FlowMap. Identify absorption/trapped traders Absorption refers to an event where price forms a reversal shaped candle pattern, while high amount of volume is traded at the wick. The idea behind absorption is that price found liquidity to which traders bought/sold into with high effort, but reaped little reward. Absorption can be interpreted as a sign of deep and impactful liquidity, potentially causing a halt/reversal in price. Absorption can be seen using Internal Flow by looking for high value trades in wicks. Ideal point of confluence for absorption is a preceding parabola-type trend, increasing likelihood of exhaustion. Although the high value trades at wick imply greater absorption (therefore more likely exhaustion/price impact), absorption can also be spotted using just Value Area and POC at wick as well. Identify trend initiation Internal Flow, Value Area and POC are also useful for gauging when large players are initiating new moves. Uptrend initiations can be seen from large amount of flows at candle high, downtrend initiations at candle low. Unlike with absorption, ideal point of confluence for trend initiations is a preceding low volatility/stable period of price action. Identify rekt traders While absorption often coincides with forced liquidations, another simple and straightforward way to detect such instances on FlowMap is liquidation bubbles and manipulation patterns. Liquidations indicate when traders are forcefully liquidated and price moves away from them, creating ideal conditions for a halt/turn in price. Although less frequent, manipulations are also apt indications for detecting pain. Buyers and sellers that are trapped into liquidity pool sweep create ideal conditions for long and short squeezes. Detecting key levels Liquidity pools on FlowMap can be used to anticipate key levels where price is likely to find liquidity, resulting in resistance. 📃 Disclaimer
 FlowMap does not provide a standalone trading strategy or financial advice. It also does not substitute knowing how to trade. Example charts and ideas shown for use cases are textbook examples under ideal conditions, not guaranteed to repeat as they are presented. Hypothetical or simulated performance does not represent actual trading and past results do not guarantee future performance. For getting access to FlowMap, see "Author's instructions" section.
Pine Script® indicator
by FlowlyIndicators
XAUUSD: Ultimate Sniper v6.0 [Order Flow & Macro]This indicator is a comprehensive trading system designed specifically for XAUUSD (Gold). It moves away from lagging indicators by combining real-time Macro-Economic sentiment, Regression Analysis, and Institutional Order Flow logic into a single professional interface. ### Core Strategy & Features: 1. Macro Correlation Filter: Gold has a strong inverse correlation with the USD (DXY) and Treasury Yields (US10Y). This script monitors them in the background. If DXY/US10Y are Bullish, Gold Buy signals are filtered out to prevent trading against the trend. 2. Linear Regression Channel: Defines the "Fair Value" of price. We only look for reversal trades when price hits the extreme Upper or Lower bands. 3. Order Flow Pressure (New): Analyzes the internal structure of each candle (Wick vs Body). A signal is only confirmed if the "Buying Pressure" or "Selling Pressure" within the candle supports the move (e.g. >50%). 4. RSI Divergence: Automatically spots Bullish and Bearish divergences to identify momentum exhaustion. ### ⚙️ Recommended Settings / Best Practices To get the best results, adjust the settings based on your trading style: 🏎️ SCALPING (1min - 5min Charts) * Goal: Quick entries, smaller targets, higher frequency. * DXY/US10Y Timeframe: Set to "15" or "30" (Reacts faster to macro changes). * Regression Length: 50 or 80 (Adapts to short-term trends). * RSI Length: 9 or 14. 🛡️ INTRADAY (15min - 1h Charts) - * Goal: Balanced trading, capturing the daily range. * DXY/US10Y Timeframe: Set to "60" (1 Hour). * Regression Length: 100 (Standard setting). * RSI Length: 14. 🦅 SWING TRADING (4h - Daily Charts) * Goal: Catching major trend reversals. * DXY/US10Y Timeframe: Set to "240" (4 Hours) or "D" (Daily). * Regression Length: 200 (Long-term trend baseline). * Channel Width: Increase to 2.5 or 3.0. ### How to Trade: - BUY Signal: Valid when the Dashboard shows "BEARISH" DXY/US10Y and the Live Pressure is "BUYERS". - SELL Signal: Valid when the Dashboard shows "BULLISH" DXY/US10Y and the Live Pressure is "SELLERS". - Risk Management: The script automatically calculates ATR-based Stop Loss (SL) and Take Profit (TP) levels.
Pine Script® indicator
by dokuyucuali006
Impulse Trend Levels [BOSWaves]Impulse Trend Levels - Momentum-Adaptive Trend Detection with Impulse-Driven Confidence Bands Overview Impulse Trend Levels is a momentum-aware trend identification system that tracks directional price movement through adaptive confidence bands, where band width dynamically adjusts based on impulse strength and freshness to reflect real-time conviction in the current trend direction. Instead of relying on fixed moving average crossovers or static band multipliers, trend state, band positioning, and zone thickness are determined through impulse detection patterns, exponential decay modeling, and volatility-normalized momentum measurement. This creates dynamic trend boundaries that reflect actual momentum intensity rather than arbitrary technical levels - contracting during fresh impulse conditions when trend conviction is high, expanding during impulse decay periods when directional confidence weakens, and incorporating momentum freshness calculations to reveal whether trends are accelerating or deteriorating. Price is therefore evaluated relative to bands that adapt to momentum state rather than conventional static thresholds. Conceptual Framework Impulse Trend Levels is founded on the principle that meaningful trend signals emerge when price momentum intensity reaches significant thresholds relative to recent volatility rather than when price simply crosses moving averages. Traditional trend-following methods identify directional changes through price-indicator crossovers, which often ignore the underlying momentum dynamics and conviction levels that sustain those moves. This framework replaces static-threshold logic with impulse-driven band construction informed by actual momentum strength and decay characteristics. Three core principles guide the design: Trend direction should be determined by volatility-normalized momentum breaches, not simple price crossovers alone. Band width must adapt to impulse freshness, reflecting real-time confidence in the current trend. Momentum decay modeling reveals whether trends are maintaining strength or losing conviction. This shifts trend analysis from static indicator levels into adaptive, momentum-anchored confidence boundaries. Theoretical Foundation The indicator combines exponential moving average smoothing, mean absolute deviation measurement, impulse detection methodology, and exponential decay tracking. An EMA-based trend baseline provides directional reference, while Mean Absolute Deviation (MAD) offers volatility-normalized scaling for momentum measurement. Impulse detection identifies significant price movements relative to recent volatility, triggering fresh momentum readings that decay exponentially over time. Band multipliers interpolate between tight and wide settings based on calculated impulse freshness. Four internal systems operate in tandem: Trend Baseline Engine : Computes EMA-smoothed price levels for directional reference and band anchoring. Volatility Measurement System : Calculates MAD to provide adaptive scaling that normalizes momentum across varying market conditions. Impulse Detection Logic : Identifies volatility-normalized price movements exceeding threshold levels, capturing momentum intensity and direction. Decay-Based Confidence Modeling : Applies exponential decay to impulse readings, converting raw momentum into time-weighted freshness metrics that drive band adaptation. This design allows trend confidence to reflect actual momentum behavior rather than reacting mechanically to price formations. How It Works Impulse Trend Levels evaluates price through a sequence of momentum-aware processes: Baseline Calculation : EMA smoothing of open and close creates a directional trend reference that filters short-term noise. Volatility Normalization : MAD calculation over a specified lookback provides dynamic scaling for momentum measurement. Raw Impulse Detection : Price change over impulse lookback divided by MAD creates volatility-normalized momentum readings. Threshold-Based Activation : When normalized momentum exceeds threshold (1.0), impulse registers with absolute magnitude and directional sign. Exponential Decay Application : Between impulse events, stored impulse value decays exponentially via configurable decay rate. Freshness Conversion : Decaying impulse transforms into freshness metric (0-100%) representing current momentum conviction. Adaptive Band Construction : Band multiplier interpolates between minimum (fresh) and maximum (stale) settings based on freshness, then scales MAD to determine band width. Trend State Logic : Price crossing above upper band triggers bullish state; crossing below lower band triggers bearish state; state persists until opposite breach. Signal Generation : Trend state switches from bearish to bullish produce buy signals; bullish to bearish switches produce sell signals. Retest Identification : Price touching inner band edge after signal buffer period marks retests, with cooldown periods preventing excessive plotting. Together, these elements form a continuously updating trend framework anchored in momentum reality. Interpretation Impulse Trend Levels should be interpreted as momentum-anchored trend confidence boundaries: Bullish Trend State (Cyan) : Established when price closes above adaptive upper band, indicating upward momentum breach with associated confidence level. Bearish Trend State (Magenta) : Established when price closes below adaptive lower band, signaling downward momentum breach with directional conviction. Trend Cloud : Visual gradient zone displays between outer and inner band edges, with opacity reflecting current trend state and confidence. Band Width Dynamics : Tighter bands indicate fresh impulse (high confidence), wider bands indicate impulse decay (reduced confidence). ▲ Buy Signals : Green upward triangles mark bullish trend state initiations at crossovers above upper band. ▼ Sell Signals : Red downward triangles mark bearish trend state initiations at crossovers below lower band. ✦ Retest Markers : Small diamonds identify price retouching inner band edge after sufficient buffer period from initial signal. Retest Extension Lines : Horizontal projections from retest points extend forward, marking potential support/resistance levels. Colored Candles : Optional bar coloring reflects current trend state for immediate visual reference. Note: The original chart candles must be disabled in chart settings for the trend-colored candles to display properly. Impulse freshness, band width dynamics, and momentum normalization outweigh isolated price movements. Signal Logic & Visual Cues Impulse Trend Levels presents two primary interaction signals: Buy Signal (▲) : Green label appears when trend state switches from bearish to bullish via upper band crossover, suggesting momentum shift to upside. Sell Signal (▼) : Red label displays when trend state switches from bullish to bearish via lower band crossunder, indicating momentum shift to downside. Retest detection provides secondary confirmation when price revisits inner band boundaries after signal buffer cooldown expires. Alert generation covers trend state switches (long/short), retest occurrences, and impulse freshness decay below 50% threshold for systematic monitoring. Strategy Integration Impulse Trend Levels fits within momentum-informed and adaptive trend-following approaches: Momentum-Confirmed Entries : Use band crossovers as high-probability trend initiation points where volatility-normalized momentum exceeded threshold. Freshness-Based Position Sizing : Scale exposure based on impulse freshness - larger positions during fresh impulse periods, reduced sizing as impulse decays. Band-Width Risk Management : Expect wider price ranges when bands expand during decay, tighter ranges when bands contract during fresh impulse. Retest-Based Re-entry : Use inner band retests as lower-risk entry opportunities within established trends after initial signal cooldown. Cloud-Aligned Directional Bias : Favor trades aligning with current trend state rather than counter-trend positions. Multi-Timeframe Momentum Confirmation : Apply higher-timeframe impulse trend state to filter lower-timeframe entry precision. Technical Implementation Details Core Engine : EMA-based baseline with MAD volatility measurement Impulse Model : Volatility-normalized momentum detection with directional sign capture Decay System : Exponential decay application (0.8-0.99 range) with freshness conversion Band Construction : Linear interpolation between min/max multipliers scaled by MAD Visualization : Gradient-filled cloud zones with bar coloring and signal labels Signal Logic : State-switch detection with retest buffer and cooldown mechanisms Performance Profile : Optimized for real-time execution across all timeframes Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Micro-trend detection for scalping with responsive impulse settings 15 - 60 min : Intraday momentum tracking with balanced decay characteristics 4H - Daily : Swing-level trend identification with sustained impulse persistence Suggested Baseline Configuration: Trend Length : 19 Impulse Lookback : 5 Decay Rate : 0.99 MAD Length : 20 Band Min (Fresh) : 1.5 Band Max (Stale) : 1.9 Signal Buffer Period : 10 Show Trend Cloud : Enabled Color Bars : Enabled (requires disabling original chart candles in chart settings) Show Buy/Sell Signals : Enabled These suggested parameters should be used as a baseline; their effectiveness depends on the asset's volatility profile, momentum characteristics, and preferred signal frequency, so fine-tuning is expected for optimal performance. Parameter Calibration Notes Use the following adjustments to refine behavior without altering the core logic: Excessive signal noise : Increase Trend Length to demand smoother baseline crossovers or increase Impulse Lookback for less reactive momentum detection. Missed momentum shifts : Decrease Impulse Lookback to capture shorter-term momentum changes or reduce Decay Rate to allow faster impulse fade. Bands too tight/wide : Adjust Band Min and Band Max multipliers to modify confidence zone thickness across freshness spectrum. Impulse decays too quickly : Increase Decay Rate toward 0.99 to sustain impulse readings longer between fresh events. Impulse decays too slowly : Decrease Decay Rate toward 0.8 for faster momentum fade and more frequent band expansion. Unstable volatility scaling : Increase MAD Length to smooth volatility measurement and reduce sensitivity to short-term spikes. Too many retest markers : Increase retest cooldown period (55 bars hardcoded) or increase Signal Buffer Period to space out signals. Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions. Performance Characteristics High Effectiveness: Trending markets with clear momentum phases and directional persistence Instruments with consistent volatility characteristics where MAD scaling normalizes effectively Momentum continuation strategies entering on fresh impulse signals Trend-following approaches benefiting from adaptive confidence measurement Reduced Effectiveness: Choppy, range-bound markets with frequent whipsaw crossovers Extremely low volatility environments where impulse threshold becomes difficult to breach News-driven or gapped markets with discontinuous momentum patterns Mean-reversion dominant conditions where momentum breaches quickly reverse Consolidation and sideways price action where trend-following methodologies inherently struggle due to lack of sustained directional movement Integration Guidelines Confluence : Combine with BOSWaves structure, volume analysis, or traditional trend indicators Freshness Respect : Trust signals occurring during high impulse freshness periods with contracted bands Decay Awareness : Reduce position sizing or tighten stops as impulse decays and bands widen Retest Utilization : Treat inner band retests as continuation confirmation rather than reversal signals State Discipline : Maintain directional bias aligned with current trend state until opposite band breach occurs Disclaimer Impulse Trend Levels is a professional-grade momentum and trend analysis tool. It uses volatility-normalized impulse detection with exponential decay modeling but does not predict future price movements. Results depend on market conditions, volatility characteristics, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, volume context, and comprehensive risk management.
Pine Script® indicator
by BOSWaves
8
StO Price Action - Bank Timings [Demo]Short Summary - Visualizes market activity intensity based on historical price movement data (Oanda, M5) - Highlights zones where price moves most frequently across market times - Lvl 0 marks the highest intensity areas - Includes experimental projection into future bars - Supported markets: XAU/USD (Gold), EUR/USD (EU) with Lvl 0 & 1 Demo Restrictions - Timeframe dropdown selections are limited - Line style dropdown selections are limited - Multi-timeframe functionality is removed or restricted - Alerts are disabled or completely removed - No code logic runs behind disabled GUI elements Full Description Overview - Shows historical price movement data for some markets (from FX, Futures, Indexes, etc.) - Identifies time zones with the highest concentration of price activity - Designed to show when markets are statistically more active - Supported are three limited marks Intensity Levels - Lvl 0 represents the highest concentration of price movement - Lvl 1 shows strong but slightly reduced activity - Lvl 2 marks moderate recurring activity - Lvl 3 highlights lower but still relevant activity zones - Each level can be enabled or disabled independently Visualization - Intensity levels are visualized using colored bars or markers - Stronger intensity levels use more prominent coloring - Works across different symbols and markets Future Bars Projection - Experimental feature to project intensity into future bars - Helps anticipate periods of increased market activity - Projection is time-based (vertical bars), not price-based - Best suited for timeframes below H1 Future Shift Control - Allows shifting projected intensity forward or backward in time - Shift values are defined in hours (sometimes needed) - Useful for session alignment and market timing Notes - Indicator is based on historical statistical aggregation - No prediction of direction, only activity intensity - Experimental future projection may vary by market - Best used as a contextual timing tool
Pine Script® indicator
by sto_svc
RSI Min/Max Tracker - HD AlgoRSI Min/Max Tracker – HD Algo RSI Min/Max Tracker is a momentum analysis indicator designed to enhance traditional RSI usage by continuously tracking the lowest and highest RSI values reached over the visible chart history. This provides immediate context on whether the current RSI is relatively extended or compressed compared to prior market behavior. How it works Calculates the Relative Strength Index (RSI) using a user-defined length and price source. Dynamically records the minimum and maximum RSI values observed since the indicator started. Updates these extremes in real time as new bars form. Visual elements RSI Line (Blue): The current RSI value. Lowest RSI (Red): The historical minimum RSI reached. Highest RSI (Green): The historical maximum RSI reached. Reference Levels: 70 – Overbought (dashed red) 50 – Midline (dotted gray) 30 – Oversold (dashed green) Info Table A compact table in the top-right corner displays: Current RSI Lowest recorded RSI Highest recorded RSI Use cases Identify whether RSI is near historical extremes. Improve overbought/oversold context beyond fixed 30/70 levels. Support mean-reversion, momentum, and divergence-based strategies. Best used for Intraday and swing traders who want a clearer perspective on RSI behavior relative to recent market conditions, rather than relying solely on static thresholds.
Pine Script® indicator
by hdalgo