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Dynamic Fair-Value Ribbon Pro @darshakssc1. What This Indicator Is (In Simple Terms) The Dynamic Fair-Value Ribbon Pro is a visual tool that helps you see how price behaves around a statistically derived “fair-value zone”: A colored ribbon/cloud marks a central “fair” area. Areas above the ribbon are labeled as “Unfair High Zone”. Areas below the ribbon are labeled as “Unfair Low Zone”. A small state panel tells you where price currently sits relative to this ribbon. All calculations are based only on historical price, volume, and volatility. It does not predict future price, does not give buy/sell signals, and is not financial advice. 2. Adding the Indicator Open a chart on TradingView. Click on Indicators . Search for “Dynamic Fair-Value Ribbon Pro” . Click to add it to your chart. You will see: A cloud/ribbon around price. Colored bars when price is outside the ribbon. A panel in the top right describing the current state. 3. Core Concept: Fair vs Unfair Zones (Analytical Only) The indicator tries to answer a descriptive question: “Where is price trading relative to a historically derived central area?” It does this by: Calculating a central value (“fair mid”). Building a band around that mid. Coloring the chart depending on whether price is inside or outside that band. It is not claiming that: Price “must” return to the band. Price is “overvalued” or “undervalued”. Any state is good or bad. It is simply a visual classification tool . 4. Engine Modes — How the Ribbon Is Calculated Under “Fair-Value Engine” you can choose: 4.1 Mode 1: Range Looks back over a chosen number of bars (default: 100). Finds the highest high and lowest low in that window. Defines a central “slice” of that range as the fair-value ribbon : Range Mode: Lower Percent → bottom boundary of the slice (e.g., 30%). Range Mode: Upper Percent → top boundary of the slice (e.g., 70%). Effect: The ribbon represents a middle portion of the historical range . Above the ribbon = “Unfair High Zone” (analytical label only). Below the ribbon = “Unfair Low Zone”. This is purely statistical — it does not mean price is wrong or will revert. 4.2 Mode 2: VWAP + Stdev In this mode, the central value is based on VWAP : VWAP (Volume-Weighted Average Price) is used as the midline. A standard deviation envelope is built around VWAP: VWAP Mode: Stdev Multiplier controls how wide that envelope is. Effect: The ribbon shows where price is trading relative to a volume-weighted average . Again, areas above and below are just described as “unfair” zones in a visual, analytical sense , not a predictive one. 5. ATR Adaptive Width — Making the Ribbon React to Volatility Under “ATR Adaptive Width” : Use ATR Adaptive Width: On: the band width scales with volatility. Off: band width stays fixed based on Range or VWAP settings. ATR Length: how many bars to use for ATR. Reference ATR (% of price): a reference level for normal volatility. Min Width Scale / Max Width Scale: clamps the scaling so that the band doesn’t get too narrow or too wide. What this does (analytically): When volatility (ATR) is higher than the reference, the band can become wider . When volatility is lower , the band can become narrower . This is a mathematical rescaling only and does not imply any optimal levels or performance. 6. Visual Elements — What You See on the Chart 6.1 Fair-Value Ribbon (Cloud) The cloud between Fair Ribbon Low and Fair Ribbon High is the fair zone . Color can be changed via “Fair Ribbon Color” . 6.2 Midline If “Show Center Line” is enabled: A line runs through the middle of the ribbon. In Range mode, this is the average of the upper and lower band. In VWAP mode, it’s essentially the VWAP-based mid. This line is for visual reference only and makes no claims about support, resistance, or reversion. 6.3 Bar Colors Unfair High Zone: bars are colored with Unfair High Bar Color. Unfair Low Zone: bars are colored with Unfair Low Bar Color. Inside the ribbon: If “Fade Bars Inside Fair Zone” is ON, bars may be more faded/neutral. These colors are simply classification highlights ; they do not tell you what to do. 6.4 State Panel (Top Right) If “Show State Panel” is enabled, you’ll see a small box that displays: Current engine: Range or VWAP+Stdev. Current price state: Inside Ribbon (Fair Zone) Above Ribbon (Unfair High Zone) Below Ribbon (Unfair Low Zone) This is a quick summary of where price sits relative to the computed ribbon. 7. Typical Ways to Use It (Informational Only) The indicator can help you visually: See when price is spending time inside a historically defined central zone. Notice when price is frequently trading outside that zone. Compare different timeframes (e.g., 5m vs 1h vs 4h) to see how the fair zone shifts. Experiment with: Range length (shorter vs longer lookback). VWAP vs Range mode. ATR adaptation on/off. Important: Any interpretation of these visuals is entirely up to the user. The script does not tell you to buy, sell, hold, or do anything specific. 8. Limitations and Important Notes All calculations use past data only (price, volume, volatility). The ribbon does not guarantee: that price will revert, that zones will hold, or that any outcome will occur. There are no built-in signals such as “long/short” or automatic entries/exits. The script is best used as a supporting, visual layer alongside other tools or methods you choose. 9. Disclaimer This indicator is: Strictly informational and educational. Not a trading system or strategy. Not financial advice or a recommendation. Not guaranteed to be accurate, complete, or suitable for any specific purpose. Users should always perform their own research and due diligence. Past behavior of any visual pattern or zone does not guarantee future behavior.
אינדיקטור Pine Script®
מאת ‎darshakssc‎
Volume Weighted Average Price AdvancedVWAP (Advanced) with Multi‑Venue Aggregation and Historical Value Areas Core: Anchored VWAP with configurable anchor (session/week/month/quarter/year/decade/century or corporate events), offset, and up to three standard-deviation bands. Multi‑Venue Aggregation: Optionally pull price/volume from up to 5 additional exchanges/symbols (pair-matched by default). VWAP/σ are computed on the aggregated price*volume. Value Area Blocks: Each completed anchor draws a block from the chosen basis (±1σ or ±2σ) or an optional percentile-based range (default 20–80%). Blocks project to the exact next anchor boundary, or you can extend them to the latest bar. Prior-period VWAP lines are shown inside the blocks. Volume Gate: Optionally skip drawing prior blocks when the anchor’s aggregated volume is below a median/mean baseline times a multiplier. HTF Context: Optional higher-timeframe VWAP overlay; can filter the current VWAP/bands so they only show when aligned with the HTF VWAP. Venue Health: Label shows how many extra venues were included (non‑na) and median venue volume; flags divergence when primary volume is below venue median × threshold. Alerts: Price in current value area (VWAP ±1σ) and price crossing the most recent prior VWAP. Styling: Bands and fills are minimal; HTF VWAP is a distinct line; value-area blocks are shaded with prior VWAP lines inside. Configure via the grouped inputs: VWAP Settings, Additional Exchange Sources, Historical Value Areas, HTF Context, and Bands Settings.
אינדיקטור Pine Script®
מאת ‎w03‎
Defended Price Levels (DPLs) — Melvin Dickover ConceptThis indicator identifies and draws horizontal “Defended Price Levels” (DPLs) exactly as originally described by Melvin E. Dickover in his trading methodology. Dickover observed that when extreme relative volume and extreme “freedom of movement” (volume-to-price-movement ratio) occur on the same bar, especially on bars with large gaps or unusually large bodies, the closing price (or previous close) of that bar very often becomes a significant future support/resistance level that the market later “defends.” This script automates the detection of those exact coincident spikes using two well-known public indicators: Relative Volume (RVI) • Original idea: Melvin Dickover • Pine Script implementation used here: “Relative Volume Indicator (Freedom Of Movement)” by LazyBear Link: Freedom of Movement (FoM) • Original idea and calculation: starbolt64 • Pine Script: “Freedom of Movement” by starbolt64 Link: How this indicator works Calculates the raw (possibly negative) LazyBear RVI and starbolt64’s exact FoM values Normalizes and standardizes both over the user-defined lookback Triggers only when both RVI and FoM exceed the chosen number of standard deviations on the same bar (true Dickover coincident-spike condition) Applies Dickover’s original price-selection rules (uses current close on big gaps or 2× body expansion candles, otherwise previous close) Draws a thin maroon horizontal ray only when the new level is sufficiently far from all previously drawn levels (default ≥0.8 %) and the maximum number of levels has not been reached Keeps the chart clean by limiting the total number of significant defended levels shown This is not a republish or minor variation of the two source scripts — it is a faithful automation of Melvin Dickover’s specific “defended price line” concept that he manually marked using the coincidence of these two indicators. Full credit goes to: Melvin E. Dickover — creator of the Defended Price Levels concept LazyBear — author of the Relative Volume (RVI) implementation used here starbolt64 — author of the Freedom of Movement indicator and calculation Settings (all adjustable): Standard Deviation Length (default 60) Spike Threshold in standard deviations (default 2.0) Minimum distance between levels in % (default 0.8 %) Maximum significant levels to display (15–80) Use these horizontal maroon lines as potential future support/resistance zones that the market has previously shown strong willingness to defend. Thank you to Melvin, LazyBear, and starbolt64 for the original work that made this automation possible.
אינדיקטור Pine Script®
מאת ‎MonkeyPhone‎
20/50/200 EMA with RVOL Filter Hariss 369Understanding to trade with this indicator is very simple. 20 EMA acts as dynamic support and resistance. 50 EMA is best for intraday/short term trend filter and 200 EMA is best for long term trend filter. One should always trade with the trend. Combination of all threes entails safe trading with trend. Undoubtedly, volume plays vital role to move the price up or down. The volume indicator used here is Relative Volume (RVOL) rather simple volume. 1.5 RVOL is considered as strong trend to trade considering other factors intact. You can tick/untick RVOL and you can also change the level of RVOL from input section. You can also change the color of EMAs and pattern of buy and sell signal. Place this indicator over the chart. You can choose any type of asset and any time frame. Though buy and sell signals are there. The concept of trading is buy when price closes above 20 ema and 20 ema >50ema>200 ema. Place stop loss below the low of last candle or just below 20 ema. Target 1.5/2 times of stop loss. You can also trail it with 20 ema or 50 ema depending upon your trading style and risk appetite. You can also take positional trade, in that case 200 ema to be considered as stop loss. Sell when price closes below 20 ema, 20 ema<50ema<200 ema. For intraday trading, 20 ema is best to enter and exit. Taking RVOL into consideration is best way in order to trade with high liquidity-safer way to entry and exit.
אינדיקטור Pine Script®
מאת ‎Hariss369‎
Multi Timeframe Bollinger Bands Spectrum [Ata]Multi-Timeframe Bollinger Bands Spectrum Technical Overview This script integrates multi-timeframe volatility analysis with volume-derived order flow estimation. By combining Bollinger Bands (statistical deviation) with internal candle volume logic, the indicator qualifies price movements to differentiate between sustained trends, reversals, and exhaustion events. The system is designed to provide a structural context for price action, visualizing market regimes through a dual-zone spectrum and filtering signals based on the interaction between price location and specific volume thresholds. Core Logic & Calculation 1. Volume Decomposition Algorithm Instead of using total volume, the script estimates Buying Pressure vs. Selling Pressure based on the close position relative to the candle's High/Low range: - Buying Volume (vb): Increases as the close approaches the High. - Selling Volume (vs): Increases as the close approaches the Low. This logic allows the detection of directional flow even within standard volume bars. 2. Statistical Spectrum The indicator renders deviations from the Basis (SMA) as two distinct zones: - Bullish Zone (Blue): Price positioning between the Basis and Upper Band. - Bearish Zone (Red): Price positioning between the Basis and Lower Band. This structure is applied across multiple timeframes (overlay) to visualize the macro trend context without noise. 3. Non-Repainting Execution To ensure historical accuracy and reliability for backtesting, all higher-timeframe data is requested using "lookahead_off". Signals are confirmed only upon the closure of the respective timeframe's candle. Signal Definitions Signals are generated only when specific Volatility and Volume conditions intersect: Reversal Setups (Reaction to Liquidity) - WALL: Triggered when price rejects the Upper Band accompanied by Extreme Selling Volume (vs > Limit). This suggests active limit sell orders absorbing the rally. - FLOOR: Triggered when price rejects the Lower Band accompanied by Extreme Buying Volume (vb > Limit). This suggests active limit buy orders absorbing the drop. - ABSORP: Identifies absorption near the lower bands where selling pressure is met with passive buying (indicated by lower wicks and relative buy volume). Momentum Setups (Trend Continuation) - POWER: Validates a breakout above the Upper Band only if supported by Dominant Buying Volume and a strong candle body. - PANIC: Validates a breakdown below the Lower Band only if supported by Dominant Selling Volume. - TRAP: Marks failed breakouts where price exits the bands but volume analysis contradicts the move (e.g., low directional volume). Exhaustion Setups (Statistical Extremes) - CLIMAX/CRASH: Identifies anomalies where price deviates significantly from the mean (Extreme Deviation) or when volume reaches unsustainable levels relative to the average, often preceding a mean reversion. Input Parameters - Bollinger Logic: Configuration for Length and Standard Deviation Multiplier. - Volume Thresholds: Adjustable factors for Minimum Volume (Trend) and Extreme Volume (Reversal/Climax). - Timeframe Layers: Toggle visibility for up to 5 higher timeframes. - Theme: Adjusts label contrast for Dark/Light backgrounds. Disclaimer This indicator is strictly for analytical purposes. It provides a visualization of past market data based on statistical and volumetric formulas. Users should apply their own risk management protocols.
אינדיקטור Pine Script®
מאת ‎ata_sabanci‎
4
Flux-Tensor Singularity [FTS]Flux-Tensor Singularity - Multi-Factor Market Pressure Indicator The Flux-Tensor Singularity (FTS) is an advanced multi-factor oscillator that combines volume analysis, momentum tracking, and volatility-weighted normalization to identify critical market inflection points. Unlike traditional single-factor indicators, FTS synthesizes price velocity, volume mass, and volatility context into a unified framework that adapts to changing market regimes. This indicator identifies extreme market conditions (termed "singularities") where multiple confirming factors converge, then uses a sophisticated scoring system to determine directional bias. It is designed for traders seeking high-probability setups with built-in confluence requirements. THEORETICAL FOUNDATION The indicator is built on the premise that market time is not constant - different market conditions contain varying levels of information density. A 1-minute bar during a major news event contains far more actionable information than a 1-minute bar during overnight low-volume trading. Traditional indicators treat all bars equally; FTS does not. The theoretical framework draws conceptual parallels to physics (purely as a mental model, not literal physics): Volume as Mass: Large volume represents significant market participation and "weight" behind price moves. Just as massive objects have stronger gravitational effects, high-volume moves carry more significance. Price Change as Velocity: The rate of price movement through price space represents momentum and directional force. Volatility as Time Dilation: When volatility is high relative to its historical norm, the "information density" of each bar increases. The indicator weights these periods more heavily, similar to how time dilates near massive objects in physics. This is a pedagogical metaphor to create a coherent mental model - the underlying mathematics are standard financial calculations combined in a novel way. MATHEMATICAL FRAMEWORK The indicator calculates a composite singularity value through four distinct steps: Step 1: Raw Singularity Calculation S_raw = (ΔP × V) × γ² Where: ΔP = Price Velocity = close - close V = Volume Mass = log(volume + 1) γ² = Time Dilation Factor = (ATR_local / ATR_global)² Volume Transformation: Volume is log-transformed because raw volume can have extreme outliers (10x-100x normal). The logarithm compresses these spikes while preserving their significance. This is standard practice in volume analysis. Volatility Weighting: The ratio of short-term ATR (5 periods) to long-term ATR (user-defined lookback) is squared to create a volatility amplification factor. When local volatility exceeds global volatility, this ratio increases, amplifying the raw singularity value. This makes the indicator regime-aware. Step 2: Normalization The raw singularity values are normalized to a 0-100 scale using a stochastic-style calculation: S_normalized = ((S_raw - S_min) / (S_max - S_min)) × 100 Where S_min and S_max are the lowest and highest raw singularity values over the lookback period. Step 3: Epsilon Compression S_compressed = 50 + ((S_normalized - 50) / ε) This is the critical innovation that makes the sensitivity control functional. By applying compression AFTER normalization, the epsilon parameter actually affects the final output: ε < 1.0: Expands range (more signals) ε = 1.0: No change (default) ε > 1.0: Compresses toward 50 (fewer, higher-quality signals) For example, with ε = 2.0, a normalized value of 90 becomes 70, making threshold breaches rarer and more significant. Step 4: Smoothing S_final = EMA(S_compressed, smoothing_period) An exponential moving average removes high-frequency noise while preserving trend. SIGNAL GENERATION LOGIC When the tensor crosses above the upper threshold (default 90) or below the lower threshold (default 10), an extreme event is detected. However, the indicator does NOT immediately generate a buy or sell signal. Instead, it analyzes market context through a multi-factor scoring system: Scoring Components: Price Structure (+1 point): Current bar bullish/bearish Momentum (+1 point): Price higher/lower than N bars ago Trend Context (+2 points): Fast EMA above/below slow EMA (weighted heavier) Acceleration (+1 point): Rate of change increasing/decreasing Volume Multiplier (×1.5): If volume > average, multiply score The highest score (bullish vs bearish) determines signal direction. This prevents the common indicator failure mode of "overbought can stay overbought" by requiring directional confirmation. Signal Conditions: A BUY signal requires: Extreme event detection (tensor crosses threshold) Bullish score > Bearish score Price confirmation: Bullish candle (optional, user-controlled) Volume confirmation: Volume > average (optional, user-controlled) Momentum confirmation: Positive momentum (optional, user-controlled) A SELL signal requires the inverse conditions. INPUTS EXPLAINED - Core Parameters: Global Horizon (Context): Default 20. Lookback period for normalization and volatility comparison. Higher values = smoother but less responsive. Lower values = more signals but potentially more noise. Tensor Smoothing: Default 3. EMA period applied to final output. Removes "quantum foam" (high-frequency noise). Range 1-20. Singularity Threshold: Default 90. Values above this (or below 100-threshold) trigger extreme event detection. Higher = rarer, stronger signals. Signal Sensitivity (Epsilon): Default 1.0. Post-normalization compression factor. This is the key innovation - it actually works because it's applied AFTER normalization. Range 0.1-5.0. Signal Interpreter Toggles: Require Price Confirmation: Default ON. Only generates buy signals on bullish candles, sell signals on bearish candles. Reduces false signals but may delay entry. Require Volume Confirmation: Default ON. Only signals when volume > average. Critical for stocks/crypto, less important for forex (unreliable volume data). Use Momentum Filter: Default ON. Requires momentum agreement with signal direction. Prevents counter-trend signals. Momentum Lookback: Default 5. Number of bars for momentum calculation. Shorter = more responsive, longer = trend-following bias. Visual Controls: Colors: Customizable colors for bullish flux, bearish flux, background, and event horizon. Visual Transparency: Default 85. Master control for all visual elements (accretion disk, field lines, particles, etc.). Range 50-99. Signals and dashboard have separate controls. Visibility Toggles: Individual on/off switches for: Gravitational field lines (trend EMAs) Field reversals (trend crossovers) Accretion disk (background gradient) Singularity diamonds (neutral extreme events) Energy particles (volume bursts) Event horizon flash (extreme event background) Signal background flash Signal Size: Tiny/Small/Normal triangle size Signal Offsets: Separate controls for buy and sell signal vertical positioning (percentage of price) Dashboard Settings: Show Dashboard: Toggle on/off Position: 9 placement options (all corners, centers, middles) Text Size: Tiny/Small/Normal/Large Background Transparency: 0-50, separate from visual transparency VISUAL ELEMENTS EXPLAINED 1. Accretion Disk (Background Gradient): A three-layer gradient background that intensifies as the tensor approaches extremes. The outer disk appears at any non-neutral reading, the inner disk activates above 70 or below 30, and the core layer appears above 85 or below 15. Color indicates direction (cyan = bullish, red = bearish). This provides instant visual feedback on market pressure intensity. 2. Gravitational Field Lines (EMAs): Two trend-following EMAs (10 and 30 period) visualized as colored lines. These represent the "curvature" of market trend - when they diverge, trend is strong; when they converge, trend is weakening. Crossovers mark potential trend reversals. 3. Field Reversals (Circles): Small circles appear when the fast EMA crosses the slow EMA, indicating a potential trend change. These are distinct from extreme events and appear at normal market structure shifts. 4. Singularity Diamonds: Small diamond shapes appear when the tensor reaches extreme levels (>90 or <10) but doesn't meet the full signal criteria. These are "watch" events - extreme pressure exists but directional confirmation is lacking. 5. Energy Particles (Dots): Tiny dots appear when volume exceeds 2× average, indicating significant participation. Color matches bar direction. These highlight genuine high-conviction moves versus low-volume drifts. 6. Event Horizon Flash: A golden background flash appears the instant any extreme threshold is breached, before directional analysis. This alerts you to pay attention. 7. Signal Background Flash: When a full buy/sell signal is confirmed, the background flashes cyan (buy) or red (sell). This is your primary alert that all conditions are met. 8. Signal Triangles: The actual buy (▲) and sell (▼) markers. These only appear when ALL selected confirmation criteria are satisfied. Position is offset from bars to avoid overlap with other indicators. DASHBOARD METRICS EXPLAINED The dashboard displays real-time calculated values: Event Density: Current tensor value (0-100). Above 90 or below 10 = critical. Icon changes: 🔥 (extreme high), ❄️ (extreme low), ○ (neutral). Time Dilation (γ): Current volatility ratio squared. Values >2.0 indicate extreme volatility environments. >1.5 = elevated, >1.0 = above average. Icon: ⚡ (extreme), ⚠ (elevated), ○ (normal). Mass (Vol): Log-transformed volume value. Compared to volume ratio (current/average). Icon: ● (>2× avg), ◐ (>1× avg), ○ (below avg). Velocity (ΔP): Raw price change. Direction arrow indicates momentum direction. Shows the actual price delta value. Bullish Flux: Current bullish context score. Displayed as both a bar chart (visual) and numeric value. Brighter when bullish score dominates. Bearish Flux: Current bearish context score. Same visualization as bullish flux. These scores compete - the winner determines signal direction. Field: Trend direction based on EMA relationship. "Repulsive" (uptrend), "Attractive" (downtrend), "Neutral" (ranging). Icon: ⬆⬇↔ State: Current market condition: 🚀 EJECTION: Buy signal active 💥 COLLAPSE: Sell signal active ⚠ CRITICAL: Extreme event, no directional confirmation ● STABLE: Normal market conditions HOW TO USE THE INDICATOR 1. Wait for Extreme Events: The indicator is designed to be selective. Don't trade every fluctuation - wait for tensor to reach >90 or <10. This alone is not a signal. 2. Check Context Scores: Look at the Bullish Flux vs Bearish Flux in the dashboard. If scores are close (within 1-2 points), the market is indecisive - skip the trade. 3. Confirm with Signals: Only act when a full triangle signal appears (▲ or ▼). This means ALL your selected confirmation criteria have been met. 4. Use with Price Structure: Combine with support/resistance levels. A buy signal AT support is higher probability than a buy signal in the middle of nowhere. 5. Respect the Dashboard State: When State shows "CRITICAL" (⚠), it means extreme pressure exists but direction is unclear. These are the most dangerous moments - wait for resolution. 6. Volume Matters: Energy particles (dots) and the Mass metric tell you if institutions are participating. Signals without volume confirmation are lower probability. MARKET AND TIMEFRAME RECOMMENDATIONS Scalping (1m-5m): Lookback: 10-14 Smoothing: 5-7 Threshold: 85 Epsilon: 0.5-0.7 Note: Expect more noise. Confirm with Level 2 data. Best on highly liquid instruments. Intraday (15m-1h): Lookback: 20-30 (default settings work well) Smoothing: 3-5 Threshold: 90 Epsilon: 1.0 Note: Sweet spot for the indicator. High win rate on liquid stocks, forex majors, and crypto. Swing Trading (4h-1D): Lookback: 30-50 Smoothing: 3 Threshold: 90-95 Epsilon: 1.5-2.0 Note: Signals are rare but high conviction. Combine with higher timeframe trend analysis. Position Trading (1D-1W): Lookback: 50-100 Smoothing: 5-7 Threshold: 95 Epsilon: 2.0-3.0 Note: Extremely rare signals. Only trade the most extreme events. Expect massive moves. Market-Specific Settings: Forex (EUR/USD, GBP/USD, etc.): Volume data is unreliable (spot forex has no centralized volume) Disable "Require Volume Confirmation" Focus on momentum and trend filters News events create extreme singularities Best on 15m-1h timeframes Stocks (High-Volume Equities): Volume confirmation is CRITICAL - keep it ON Works excellently on AAPL, TSLA, SPY, etc. Morning session (9:30-11:00 ET) shows highest event density Earnings announcements create guaranteed extreme events Best on 5m-1h for day trading, 1D for swing trading Crypto (BTC, ETH, major alts): Reduce threshold to 85 (crypto has constant high volatility) Volume spikes are THE primary signal - keep volume confirmation ON Works exceptionally well due to 24/7 trading and high volatility Epsilon can be reduced to 0.7-0.8 for more signals Best on 15m-4h timeframes Commodities (Gold, Oil, etc.): Gold responds to macro events (Fed announcements, geopolitical events) Oil responds to supply shocks Use daily timeframe minimum Increase lookback to 50+ These are slow-moving markets - be patient Indices (SPX, NDX, etc.): Institutional volume matters - keep volume confirmation ON Opening hour (9:30-10:30 ET) = highest singularity probability Strong correlation with VIX - high VIX = more extreme events Best on 15m-1h for day trading WHAT MAKES THIS INDICATOR UNIQUE 1. Post-Normalization Sensitivity Control: Unlike most oscillators where sensitivity controls don't actually work (they're applied before normalization, which then rescales everything), FTS applies epsilon compression AFTER normalization. This means the sensitivity parameter genuinely affects signal frequency. This is a novel implementation not found in standard oscillators. 2. Multi-Factor Confluence Requirement: The indicator doesn't just detect "overbought" or "oversold" - it detects extreme conditions AND THEN analyzes context through five separate factors (price structure, momentum, trend, acceleration, volume). Most indicators are single-factor; FTS requires confluence. 3. Volatility-Weighted Normalization: By squaring the ATR ratio (local/global), the indicator adapts to changing market regimes. A 1% move in a low-volatility environment is treated differently than a 1% move in a high-volatility environment. Traditional indicators treat all moves equally regardless of context. 4. Volume Integration at the Core: Volume isn't an afterthought or optional filter - it's baked into the fundamental equation as "mass." The log transformation handles outliers elegantly while preserving significance. Most price-based indicators completely ignore volume. 5. Adaptive Scoring System: Rather than fixed buy/sell rules ("RSI >70 = sell"), FTS uses competitive scoring where bullish and bearish evidence compete. The winner determines direction. This solves the classic problem of "overbought markets can stay overbought during strong uptrends." 6. Comprehensive Visual Feedback: The multi-layer visualization system (accretion disk, field lines, particles, flashes) provides instant intuitive feedback on market state without requiring dashboard reading. You can see pressure building before extreme thresholds are hit. 7. Separate Extreme Detection and Signal Generation: "Singularity diamonds" show extreme events that don't meet full criteria, while "signal triangles" only appear when ALL conditions are met. This distinction helps traders understand when pressure exists versus when it's actionable. COMPARISON TO EXISTING INDICATORS vs. RSI/Stochastic: These normalize price relative to recent range. FTS normalizes (price change × log volume × volatility ratio) - a composite metric, not just price position. vs. Chaikin Money Flow: CMF combines price and volume but lacks volatility context and doesn't use adaptive normalization or post-normalization compression. vs. Bollinger Bands + Volume: Bollinger Bands show volatility but don't integrate volume or create a unified oscillator. They're separate components, not synthesized. vs. MACD: MACD is pure momentum. FTS combines momentum with volume weighting and volatility context, plus provides a normalized 0-100 scale. The specific combination of log-volume weighting, squared volatility amplification, post-normalization epsilon compression, and multi-factor directional scoring is unique to this indicator. LIMITATIONS AND PROPER DISCLOSURE Not a Holy Grail: No indicator is perfect. This tool identifies high-probability setups but cannot predict the future. Losses will occur. Use proper risk management. Requires Confirmation: Best used in conjunction with price action analysis, support/resistance levels, and higher timeframe trend. Don't trade signals blindly. Volume Data Dependency: On forex (spot) and some low-volume instruments, volume data is unreliable or tick-volume only. Disable volume confirmation in these cases. Lagging Components: The EMA smoothing and trend filters are inherently lagging. In extremely fast moves, signals may appear after the initial thrust. Extreme Event Rarity: With conservative settings (high threshold, high epsilon), signals can be rare. This is by design - quality over quantity. If you need more frequent signals, reduce threshold to 85 and epsilon to 0.7. Not Financial Advice: This indicator is an analytical tool. All trading decisions and their consequences are solely your responsibility. Past performance does not guarantee future results. BEST PRACTICES Don't trade every singularity - wait for context confirmation Higher timeframes = higher reliability Combine with support/resistance for entry refinement Volume confirmation is CRITICAL for stocks/crypto (toggle off only for forex) During major news events, singularities are inevitable but direction may be uncertain - use wider stops When bullish and bearish flux scores are close, skip the trade Test settings on your specific instrument/timeframe before live trading Use the dashboard actively - it contains critical diagnostic information Taking you to school. — Dskyz, Trade with insight. Trade with anticipation.
אינדיקטור Pine Script®
מאת ‎DskyzInvestments‎
Time-Decay Liquidity Zones [BackQuant]Time-Decay Liquidity Zones A dynamic liquidity map that turns single-bar exhaustion events into fading, color-graded zones, so you can see where trapped traders and unfinished business still matter, and when those areas have finally stopped pulling price. What this is This indicator detects unusually strong impulsive moves into wicks, converts them into supply or demand “zones,” then lets those zones decay over time. Each zone carries a strength score that fades bar by bar. Zones that stop attracting or rejecting price are gradually de-emphasized and eventually removed, while the most relevant areas stay bright and obvious. Instead of static rectangles that live forever, you get a living liquidity map where: Zones are born from objective criteria: volatility, wick size, and optional volume spikes. Zones “age” using a configurable decay factor and maximum lifetime. Zone color and opacity reflect current relative strength on a unified clear → green → red gradient. Zones freeze when broken, so you can distinguish “active reaction areas” from “historical levels that have already given way”. Conceptual idea Large wicks with strong volatility often mark areas where aggressive orders met hidden liquidity and got absorbed. Price may revisit these areas to test leftover interest or to relieve trapped positions. However, not every wick matters for long. As time passes and more bars print, the market “forgets” some areas. Time-Decay Liquidity Zones turns that idea into a rule-based system: Find bars that likely reflect strong aggressive flows into liquidity. Mark a zone around the wick using ATR-based thickness. Assign a strength score of 1.0 at birth. Each bar, reduce that score by a decay factor and remove zones that fall below a threshold or live too long. Color all surviving zones from weak to strong using a single gradient scale and a visual legend. How events are detected Detection lives in the Event Detection group. The script combines range, wick size, and optional volume filters into simple rules. Volatility filter ATR Length — computes a rolling ATR over your chosen window. This is the volatility baseline. Min range in ATRs — bar range (High–Low) must exceed this multiple of ATR for an event to be considered. This avoids tiny bars triggering zones. Wick filters For each bar, the script splits the candle into body and wicks: Upper wick = High minus the max(Open, Close). Lower wick = min(Open, Close) minus Low. Then it tests: Upper wick condition — upper wick must be larger than Min wick size in ATRs × ATR. Lower wick condition — lower wick must be larger than Min wick size in ATRs × ATR. Only bars with a sufficiently long wick relative to volatility qualify as candidate “liquidity events”. Volume filter Optionally, the script requires a volume spike: Use volume filter — if enabled, volume must exceed a rolling volume SMA by a configurable multiplier. Volume SMA length — period for the volume average. Volume spike multiplier — how many times above the SMA current volume needs to be. This lets you focus only on “heavy” tests of liquidity and ignore quiet bars. Event types Putting it together: Upper event (potential supply / long liquidation, etc.) Occurs when: Upper wick is large in ATR terms. Full bar range is large in ATR terms. Volume is above the spike threshold (if enabled). Lower event (potential demand / short liquidation, etc.) Symmetric conditions using the lower wick. How zones are constructed Zone geometry lives in Zone Geometry . When an event is detected, the script builds a rectangular box that anchors to the wick and extends in the appropriate direction by an ATR-based thickness. For upper (supply-type) zones Bottom of the zone = event bar high. Top of the zone = event bar high + Zone thickness in ATRs × ATR. The zone initially spans only the event bar on the x-axis, but is extended to the right as new bars appear while the zone is active. For lower (demand-type) zones Top of the zone = event bar low. Bottom of the zone = event bar low − Zone thickness in ATRs × ATR. Same extension logic: box starts on the event bar and grows rightward while alive. The result is a band around the wick that scales with volatility. On high-ATR charts, zones are thicker. On calm charts, they are narrower and more precise. Zone lifecycle, decay, and removal All lifecycle logic is controlled by the Decay & Lifetime group. Each zone carries: Score — a floating-point “importance” measure, starting at 1.0 when created. Direction — +1 for upper zones, −1 for lower zones. Birth index — bar index at creation time. Active flag — whether the zone is still considered unbroken and extendable. 1) Active vs broken Each confirmed bar, the script checks: For an upper zone , the zone is counted as “broken” when the close moves above the top of the zone. For a lower zone , the zone is counted as “broken” when the close moves below the bottom of the zone. When a zone breaks: Its right edge is frozen at the previous bar (no further extension). The zone remains on the chart, but is no longer updated by price interaction. It still decays in score until removal. This lets you see where a major level was overrun, while naturally fading its influence over time. 2) Time decay At each confirmed bar: Score := Score × Score decay per bar . A decay value close to 1.0 means very slow decay and long-lived zones. Lower values (closer to 0.9) mean faster forgetting and more current-focused zones. You are controlling how quickly the market “forgets” past events. 3) Age and score-based removal Zones are removed when either: Age in bars exceeds Max bars a zone can live . This is a hard lifetime cap. Score falls below Minimum score before removal . This trims zones that have decayed into irrelevance even if their age is still within bounds. When a zone is removed, its box is deleted and all associated state is freed to keep performance and visuals clean. Unified gradient and color logic Color control lives in Gradient & Color . The indicator uses a single continuous gradient for all zones, above and below price, so you can read strength at a glance without guessing what palette means what. Base colors You set: Mid strength color (green) — used for mid-level strength zones and as the “anchor” in the gradient. High strength color (red) — used for the strongest zones. Max opacity — the maximum visual opacity for the solid part of the gradient. Lower values here mean more solid; higher values mean more transparent. The script then defines three internal points: Clear end — same as mid color, but with a high alpha (close to transparent). Mid end — mid color at the strongest allowed opacity. High end — high color at the strongest allowed opacity. Strength normalization Within each update: The script finds the maximum score among all existing zones. Each zone’s strength is computed as its score divided by this maximum. Strength is clamped into . This means a zone with strength 1.0 is currently the strongest zone on the chart. Other zones are colored relative to that. Piecewise gradient Color is assigned in two stages: For strength between 0.0 and 0.5: interpolate from “clear” green to solid green. Weak zones are barely visible, mid-strength zones appear as solid green. For strength between 0.5 and 1.0: interpolate from solid green to solid red. The strongest zones shift toward the red anchor, clearly separating them from everything else. Strength scale legend To make the gradient readable, the indicator draws a vertical legend on the right side of the chart: About 15 cells from top (Strong) to bottom (Weak). Each cell uses the same gradient function as the zones themselves. Top cell is labeled “Strong”; bottom cell is labeled “Weak”. This legend acts as a fixed reference so you can instantly map a zone’s color to its approximate strength rank. What it plots At a glance, the indicator produces: Upper liquidity zones above price, built from large upper wick events. Lower liquidity zones below price, built from large lower wick events. All zones colored by relative strength using the same gradient. Zones that freeze when price breaks them, then fade out via decay and removal. A strength scale legend on the right to interpret the gradient. There are no extra lines, labels, or clutter. The focus is the evolving structure of liquidity zones and their visual strength. How to read the zones Bright red / bright green zones These are your current “major” liquidity areas. They have high scores relative to other zones and have not yet decayed. Expect meaningful reactions, absorption attempts, or spillover moves when price interacts with them. Faded zones Pale, nearly transparent zones are either old, decayed, or minor. They can still matter, but priority is lower. If these are in the middle of a long consolidation, they often become background noise. Broken but still visible zones Zones whose extension has stopped have been overrun by closing price. They show where a key level gave way. You can use them as context for regime shifts or failed attempts. Absence of zones A chart with few or no zones means that, under your current thresholds, there have not been strong enough liquidity events recently. Either tighten the filters or accept that recent price action has been relatively balanced. Use cases 1) Intraday liquidity hunting Run the indicator on lower timeframes (e.g., 1–15 minute) with moderately fast decay. Use the upper zones as potential sell reaction areas, the lower zones as potential buy reaction areas. Combine with order flow, CVD, or footprint tools to see whether price is absorbing or rejecting at each zone. 2) Swing trading context Increase ATR length and range/wick multipliers to focus only on major spikes. Set slower decay and higher max lifetime so zones persist across multiple sessions. Use these zones as swing inflection areas for larger setups, for example anticipating re-tests after breakouts. 3) Stop placement and invalidation For longs, place invalidation beyond a decaying lower zone rather than in the middle of noise. For shorts, place invalidation beyond strong upper zones. If price closes through a strong zone and it freezes, treat that as additional evidence your prior bias may be wrong. 4) Identifying trapped flows Upper zones formed after violent spikes up that quickly fail can mark trapped longs. Lower zones formed after violent spikes down that quickly reverse can mark trapped shorts. Watching how price behaves on the next touch of those zones can hint at whether those participants are being rescued or squeezed. Settings overview Event Detection Use volume filter — enable or disable the volume spike requirement. Volume SMA length — rolling window for average volume. Volume spike multiplier — how aggressive the volume spike filter is. ATR length — period for ATR, used in all size comparisons. Min wick size in ATRs — minimum wick size threshold. Min range in ATRs — minimum bar range threshold. Zone Geometry Zone thickness in ATRs — vertical size of each liquidity zone, scaled by ATR. Decay & Lifetime Score decay per bar — multiplicative decay factor for each zone score per bar. Max bars a zone can live — hard cap on lifetime. Minimum score before removal — score cut-off at which zones are deleted. Gradient & Color Mid strength color (green) — base color for mid-level zones and the lower half of the gradient. High strength color (red) — target color for the strongest zones. Max opacity — controls the most solid end of the gradient (0 = fully solid, 100 = fully invisible). Tuning guidance Fast, session-only liquidity Shorter ATR length (e.g., 20–50). Higher wick and range multipliers to focus only on extreme events. Decay per bar closer to 0.95–0.98 and moderate max lifetime. Volume filter enabled with a decent multiplier (e.g., 1.5–2.0). Slow, structural zones Longer ATR length (e.g., 100+). Moderate wick and range thresholds. Decay per bar very close to 1.0 for slow fading. Higher max lifetime and slightly higher min score threshold so only very weak zones disappear. Noisy, high-volatility instruments Increase wick and range ATR multipliers to avoid over-triggering. Consider enabling the volume filter with stronger settings. Keep decay moderate to avoid the chart getting overloaded with old zones. Notes This is a structural and contextual tool, not a complete trading system. It does not account for transaction costs, execution slippage, or your specific strategy rules. Use it to: Highlight where liquidity has recently been tested hard. Rank these areas by decaying strength. Guide your attention when layering in separate entry signals, risk management, and higher-timeframe context. Time-Decay Liquidity Zones is designed to keep your chart focused on where the market has most recently “cared” about price, and to gradually forget what no longer matters. Adjust the detection, geometry, decay, and gradient to fit your product and timeframe, and let the zones show you which parts of the tape still have unfinished business.
אינדיקטור Pine Script®
מאת ‎BackQuant‎
Advanced Triple Strategy ScalperHere are the three scalping strategies presented in the video "3 Scalping Strategies That Work Every Day (Backtested & Proven)" by Asia Forex Mentor – Ezekiel Chew: ### Scalper’s Trend Filter (Triple EMA) This strategy uses three EMAs (25, 50, 100) on the 5-minute chart to filter high-probability trades aligned with momentum . - Only trade when all three EMAs are angled in the same direction and clearly separated (no crossing or tangling) . - Enter when price pulls back toward the 25 or 50 EMA and then bounces back toward the 25 EMA, but do not enter if price closes below the 100 EMA . - Set stop-loss just below the 50 EMA or swing low and aim for a risk-to-reward ratio of 1:1.5 . ### Flip Zone Trap (Reversal Catching) This method identifies precise reversal moments where market structure shifts from weakness to strength . - Use the 15-min chart to locate key support or resistance zones where price previously reacted . - Wait for price to stop making lower lows and begin making higher highs (or vice versa for shorts); confirm with a trendline break AND follow-through (higher lows & highs within 5-7 candles) . - Use confirmation candles (bullish engulfing, pin bar rejection) at the zone before entry . ### Liquidity Shift Trigger (Smart Money Trap) This system leverages institutional stop hunts and liquidity sweeps at key zones for sniper entries . - Start with a 15-min chart to identify structure breaks and points of interest (order blocks, flip zones, demand zones) . - Drop to 1-min chart and wait for price to enter the refined zone and sweep liquidity (sharp wick/spike below/above key level) . - Once liquidity is swept, wait for a clean structure shift (break of most recent internal high or low) within 5–6 candles—if confirmed, refine entry to the candle that caused the break and enter when price returns to that candle with a strong reaction . *** ### Practical Application - These strategies are systematic, rule-based, and designed to cut out fake moves, avoid early stop-outs, and align entries with momentum and institutional activity . - Perfect for short timeframes and volatile pairs like XAUUSD, especially if paired with additional confirmation from other technical analysis tools . All three strategies emphasize filtering noise, waiting for momentum/trend confirmation, and avoiding impulsive entries—key principles for consistent scalping success
אינדיקטור Pine Script®
מאת ‎asifhkin‎
Institution Radar Institution Radar Institution Radar compares Price RSI with Volume-Delta RSI to show when price moves are real (backed by volume) or fake (moving without volume). This helps reveal two powerful concepts: Absorption (Bullish or Bearish) Absorption happens when a large limit order is sitting in the order book. Market orders hit it over and over, but the level doesn't break. This usually means: Strong players are absorbing the aggressive orders Price is likely to move in the opposite direction The next candle often reacts immediately Can lead to a full reversal or just a short 1–2 candle move Exhaustion (Bullish or Bearish) Exhaustion happens when institutions pull their limit orders away. There is no real volume behind the move, so price drifts up or down easily. This usually means: The current move is weak A slowdown, pullback, or reversal is likely Often shows up right before a flip in direction 📌 What the Signals Mean Green signal → next candles often push upward Red signal → next candles often push downward These can mark trend reversals or temporary 1–2 candle reactions 🎚️ Sensitivity Setting You can adjust how strict the signals are: Lower sensitivity = more signals, more noise Higher sensitivity = fewer signals, but more accurate and stronger A higher sensitivity is recommended if you only want the cleanest institutional moments.
אינדיקטור Pine Script®
מאת ‎ebecihalil‎
Trend ProTrend Pro is a volatility-adaptive trend and momentum system designed for scalping, day trading, and short-term swing trading. It uses an ATR-based dynamic trend line (Alpha-Trend style) to identify momentum shifts and confirm directional strength. Unlike traditional moving averages, Trend Pro adapts to volatility and reacts faster during expansions while filtering noise during chop. 🔍 How Trend Pro Works Trend Pro builds a dynamic volatility channel using ATR and tracks whether price stays above or below this adaptive line. When price crosses and closes on the opposite side, it suggests a shift in market control. When price closes above the line → the trend turns BULLISH (green) When price closes below the line → the trend turns BEARISH (red) This gives a clear, visual trend state without repainting. Tips for Best Performance: ✔ Avoid signals directly inside major ranges or sideways chop ✔ Strongest entries come after small pullbacks into the line ✔ Combine signals with: Market structure Key swing highs/lows Liquidity sweeps Session timing (NYSE open, power hour) ✔ Trend Pro works best when used with the trend, not counter-trend Enjoy!
אינדיקטור Pine Script®
מאת ‎JimwatAnalytics‎
5
ADX HUD LabelStatic ADX Strength Label Drops a fixed label in the top-right corner of your chart that only tells you one thing: is the trend worth trading or not. The label constantly updates the current ADX value and changes color: red below 20 (dead / choppy), yellow between 20–25 (warming up), and green above 25 (strong trend, go hunting). Use it as a quick trend-filter so you’re not forcing trades when the market is caca chop.
אינדיקטור Pine Script®
מאת ‎GEOC1‎
1
Cumulative Volume Delta (HA Option)# **📘 Ultimate Guide to Trading With CVD Heikin Ashi (CVD+)** ## **🔍 What This Indicator Shows** This tool plots **Cumulative Volume Delta (CVD)** as candlesticks—optionally transformed into **Heikin Ashi CVD candles**. Instead of price, each candle represents the *battle between buyers and sellers* within your chosen timeframe. **Volume Delta = Buying Volume – Selling Volume** CVD takes all deltas and stacks them cumulatively, showing who is controlling the auction *over time*. With Heikin Ashi smoothing layered on top, trend detection becomes cleaner, letting you see the “true pressure” behind price moves. --- # **💡 Why CVD Is a Game Changer** Most traders only see price. Serious traders watch **pressure**. CVD exposes what price hides: * Absorption * Hidden accumulation * Seller exhaustion * Fake breakouts * True reversals * Momentum strength / weakness * Smart money footprint When combined with Heikin-Ashi smoothing, you get delta trends with way less noise and fewer fake flips. --- # **📈 How to Actually Use It (The Edge)** ## **1. Spot True Trend vs. Fake Trend** If **price goes up** but **CVD goes down**, that’s: * Passive sellers absorbing * A weak rally * High probability of reversal If **price pulls back** but **CVD keeps rising**, that’s: * Secret accumulation * A continuation setup * Great dip-buy opportunity **Rule of thumb:** 🔹 *Follow the CVD trend, not the price noise.* --- ## **2. Catch Reversals Early** Watch for: ### **🔻 Bearish Reversal Signals** * CVD makes a **lower high** * Heikin Ashi CVD prints **red bodies with rising upper shadows** * Price makes one final push up on low delta This is classic distribution → the drop usually follows fast. ### **🔹 Bullish Reversal Signals** * CVD forms a **higher low** * HA CVD flips from red to green with full bodies * Price still looks weak = bottom forming This is exactly how pros catch bottoms early. --- ## **3. Identify Absorption Levels** If price hits a level multiple times but CVD keeps climbing (or falling), that level is being defended. Example: * Price stalls at support * CVD keeps rising = **Buyers absorbing sells → high-probability bounce** Opposite works for resistance. --- ## **4. Validate Breakouts** A breakout with *weak or negative CVD* is usually a trap. A breakout with **strong, rising HA CVD** is real. If CVD diverges from the breakout direction → fade it. If CVD confirms → ride it. --- ## **5. Use Heikin Ashi to Stay in Trends** HA smoothing removes the nasty chop of raw delta data. Look for: * Consecutive **full-body teal candles = strong buying wave** * Consecutive **full-body red candles = strong selling wave** * Small-bodied candles after a trend = momentum dying This keeps you in winners longer and cuts losers faster. --- # **🎯 Practical Trading Playbook** ### **A) Long Setup** 1. Price pullback into support 2. CVD stays bullish or makes a higher low 3. HA CVD flips green or prints a strong body 4. Enter long 5. Stop under CVD structural low ### **B) Short Setup** 1. Price pushes into resistance 2. CVD forms bearish divergence 3. HA CVD prints red bodies 4. Enter short 5. Stop above CVD swing high ### **C) Chop Filter** No clear HA CVD trend = avoid trading → stop donating money to the market. --- # **🧠 Tips for Mastery** * Use lower timeframe delta (1m–5m) for scalping entries * Use a higher anchor timeframe (1D) to define direction * When price trends but CVD is flat → expect a fakeout * When CVD trends but price is flat → expect a breakout * Trade WITH delta, fade AGAINST delta --- # **⚠️ Important Notes** * Crypto = full tick-by-tick volume → CVD is extremely accurate * Stocks = depends on your broker/data vendor * Futures = best signal-to-noise ratio * If your symbol has no volume → indicator will warn you --- # **📥 Recommended Settings** * **Anchor timeframe**: 1D or 4H * **Lower timeframe**: 1m, 3m, or 5m * **Heikin Ashi**: ON for trend filtering, OFF for raw delta --- # **🔥 Final Word** Price can lie. Delta usually doesn’t. CVD + Heikin Ashi gives you the closest thing to reading the market’s heartbeat in real time. Use it to confirm breakouts, detect reversals early, identify real trend strength, and avoid getting caught in manipulation. If you learn to read CVD well… you stop trading price, and start trading the **intent** behind the price.
אינדיקטור Pine Script®
מאת ‎Manifesting_Gains‎
5
Hidden Zone Detector AI - Crypto/Forex/StockHidden Zone Detector AI - Crypto Forex Stock Hidden Zone Detector AI is a professional TradingView indicator designed to find hidden supply and demand zones across markets — crypto, forex and stocks — and surface high-probability areas earlier than classical pivot-only methods. It combines price structure analysis, volatility/ATR sizing, volume profiling and multi-mode AI heuristics (Fast / Balanced / Accurate) to generate prediction zones, highlight tested areas, and visually mark zone breakouts. Built with practical trader workflow in mind: configurable anti-repaint options, adaptable Light/Dark UI, clear labels, and candle-coloring for immediate visual context. How it works • Detects hidden zones by scanning pivot formations and finding internal “hidden” bars that represent real institutional activity (not just visible swing points). • Scores zones by size (ATR-relative), volume, and touch characteristics to produce a strength percentage (Weak/Medium/Strong). • AI heuristics aggregate price, momentum, moving averages, RSI/MACD signals and volume patterns to propose prediction zones — adjustable for speed vs. accuracy. • Zones are drawn as persistent boxes with optional midlines, labels, and tailored styling when broken or tested. Main advantages • Early edge: finds hidden zones that often act before obvious pivots. • Actionable visuals: labeled zones, color-coded candles, and breakout styling speed decision-making. • Flexible AI modes: choose Fast for responsiveness, Balanced for day-to-day use, or Accurate for stricter signals. • Anti-repaint controls: require confirmed bars for predictions to improve signal reliability. • Multi-market ready: tuned for crypto, forex and stock chart behavior. • Light/Dark friendly: UI color handling ensures labels remain readable on any chart background. • Open & reusable: released under Mozilla Public License 2.0 (MPL-2.0) — use and adapt freely with attribution. Best practices & tips • Start with Balanced mode and sensitivity ~5; increase sensitivity for earlier but noisier predictions. • Use prediction confirmation (Require AI Prediction Confirmation) for lower repaint risk. • Combine zone reads with higher-timeframe context and orderflow/volume tools for stronger entries. • Adjust max active zones and opacity to keep charts clean on lower timeframes. License & author Mozilla Public License 2.0 (MPL-2.0). Author: a_jabbaroff — created with care for the TradingView community and fellow traders.
אינדיקטור Pine Script®
מאת ‎a_jabbaroff‎
2
Smart Money Volume Matrix [Ata]Smart Money Volume Matrix The Smart Money Volume Matrix (SMV Matrix) is an advanced volume-spread analysis (VSA) dashboard and charting tool designed to identify significant market anomalies by analyzing the relationship between price extremes and volume flow. Unlike traditional indicators that rely solely on moving averages or oscillators, this tool performs a "Snapshot Analysis" of a defined lookback period (default: 100 bars) to rank price action based on Order Flow Dominance. It isolates the Top 10 Highest and Lowest Close prices and scrutinizes the volume behind them to categorize market sentiment into four distinct phases: Distribution, No Demand, Absorption, and Exhaustion. Core Logic & Methodology The script operates on a Zero-Lag Snapshot Engine. It does not print historical signals bar-by-bar; instead, it evaluates the current market structure relative to the recent history (Lookback Period). 1. Ranking Engine: The script scans the lookback period to find the Top 10 Highest Closes and Top 10 Lowest Closes. 2. Volume Classification: For each ranked bar, it calculates the "Intrabar Buy/Sell Volume" (or approximates it using candle geometry if Intrabar data is unavailable). 3. Dominance Detection: It compares Buying Volume vs. Selling Volume to determine who is in control at critical price levels. Signal Classifications (VSA Logic) The indicator generates labels on the chart and updates the dashboard table based on the following logic: 1. At Price Tops (Resistance Areas): - Distribution (Supply): High Price + High Total Volume + Sellers Dominant. Interpretation: Indicates heavy institutional selling into rising prices. Often precedes a reversal. - Buy Climax: High Price + High Total Volume + Buyers Dominant. Interpretation: Extreme buying frenzy. While bullish, it often marks a "trap" or temporary top due to exhaustion. - No Demand: High Price + Low Volume. Interpretation: Prices drifted higher but lack institutional participation. A sign of weakness. 2. At Price Bottoms (Support Areas): - Absorption: Low Price + High Total Volume + Buyers Dominant. Interpretation: Institutional money is absorbing selling pressure (passive buying). A strong sign of accumulation. - Panic Sell: Low Price + High Total Volume + Sellers Dominant. Interpretation: Extreme fear. High volume at lows typically indicates capitulation and potential hands-changing. - Exhaustion: Low Price + Low Volume. Interpretation: Selling pressure has dried up. The market may float upward due to lack of sellers. Key Features - Dashboard Matrix Table: Displays the exact Close Price, Buy/Sell Volume, and Market State (Group) for the Top 10 ranking bars. Smart Footer: Automatically detects the active "Resistance Zone" (derived from G1 Distribution levels) and "Support Zone" (derived from G3 Absorption levels) and reports the current price status relative to these zones (e.g., "Testing Resistance", "Breakout", "At Support"). - Smart Zones (Auto S/R): Automatically draws Support and Resistance boxes extending into the future based on the most significant volume clusters found in the rankings. Includes logic to detect "Flips" (e.g., when Support breaks, it is labeled as a flip to Resistance). - Average Trend Channels: Calculates a Linear Regression trend line based specifically on the coordinates of the Top 10 Highs and Top 10 Lows, providing a "Best Fit" channel for the current market structure. - Visual Clarity: Labels utilize a "Smart Stacking" algorithm to prevent overlap on the chart. Guide lines connect labels to their respective candles for precise identification. Settings & Configuration - Matrix Settings: Lookback Period (default 100 bars) and Top Rank Count. - Volume Engine: Choose between "Intrabar (Precise)" for accurate order flow or "Geometry (Approx)" for standard volume estimation. - Visuals: Toggle Table, Labels, Lines, Zones, and Trend Lines. Adjust transparency and font sizes. IMPORTANT NOTE ON SNAPSHOT LOGIC This indicator is designed as a Real-Time Dashboard. It continuously updates the "Top 10" list as new candles form. Therefore, a label that appears on a candle may disappear if that candle falls out of the Top 10 ranking or leaves the lookback window. This is intended behavior to ensure the chart always reflects the current most critical levels, rather than a historical record of past signals. It is best used for live market analysis rather than historical back testing. Disclaimer: This tool is for educational and analytical purposes only. Volume analysis is subjective and should be used in conjunction with other methods of technical analysis.
אינדיקטור Pine Script®
מאת ‎ata_sabanci‎
8
Weighted RSI DivergenceWeighted RSI Divergence A powerful divergence engine that grades every RSI divergence by strength, context, and confluence — helping you filter noise and focus only on the highest-probability reversal setups. This script combines RSI divergences with five confirmation layers to produce confidence-weighted signals, clearer trade decisions, and alert-ready setups for both bullish and bearish reversals. What This Indicator Detects Bullish Divergence → Price makes a lower low while RSI makes a higher low Bearish Divergence → Price makes a higher high while RSI makes a lower high Confirmation Factors (Each Adds +1 to the Score) Volume Spike: Above-average volume on the divergence bar Trend Alignment: Divergence occurs in harmony with higher-timeframe trend dynamics Key Level Proximity: Price tests significant support or resistance Momentum Extremes: RSI reaches oversold/overbought thresholds Candle Reversal Pattern: Engulfing, pin bar, or similar reversal structure Confidence Scoring 1–2 → Low Confidence (gray) 3 → Medium Confidence (yellow) 4–5 → High Confidence (green/red) Higher scores = higher-probability setups. Visual Components RSI plot with dynamic gradient coloring Divergence lines mapped to RSI pivots Signal labels showing confidence + factors Background highlighting for high-confidence events Real-time confidence meter for active bar conditions Optional data table for factor-by-factor breakdown Alerts Included High-confidence bullish & bearish divergences Medium-confidence signals Any divergence meeting your minimum threshold Best Practices Prioritize setups with 4 or 5 confirmations Use higher timeframes (4H, 1D, 1W) for more reliable signals Combine with market structure and price action (S/R, HTF trend, liquidity zones) Counter-trend divergences require stronger scores to validate Final Notes This script focuses on clarity, risk reduction, and selective trade timing. The confidence system helps distinguish weak divergences from high-probability reversal conditions — giving traders a structured, repeatable edge.
אינדיקטור Pine Script®
מאת ‎kingthies‎