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Elliott Wave Predictor (9-Step Cycle + Full Year Projection)Elliott Wave Predictor (9-Step Cycle + Full Year Projection) This indicator provides an advanced Elliott Wave structure analysis and projection tool, designed to visualize a complete hypothetical market cycle based on classic Fibonacci ratios. It models a complex 9-step Impulse Wave (1, 2A, 2B, 2C, 3, 4A, 4B, 4C, 5) followed by a post-cycle Correction (A-B-C), giving you a comprehensive roadmap for potential price action over the next ~1 year. Key Features 🌊 Advanced 9-Step Impulse Cycle Unlike simple 5-wave counters, this script models the internal sub-waves of corrections for greater precision: Wave 1: Initial Impulse Wave 2 (A-B-C): A detailed 3-step correction (ZigZag) targeting specific Fibonacci retracement levels (0.382, 0.50, 0.618). Wave 3: The major impulse leg targeting the 1.618 extension. Wave 4 (A-B-C): Another layered 3-step correction, providing realistic paused setups before the final leg. Wave 5: The final impulse targeting the 2.618 extension. 🔮 Full "Year-Ahead" Projections The script projects price action 12 steps into the future (Wave 1-5 + Correction A-B-C), visualized as a dotted path extending from the current price. This offers a long-term "what if" scenario based on ideal Elliott Wave structures. 🤖 Smart "Overshoot" Detection The prediction engine is context-aware. If the live price has already moved past a projected target (e.g., dropped deeper than expected for Wave A), the script automatically: Detects the overshoot. Assumes the current move is the completion of that wave. Instantly recalculates and projects the next leg (e.g., the Wave B bounce) from the current price. 🛠️ Manual & Auto Controls Auto Trend Detection: Analyzes recent price action (last 6 swings) to determine the dominant trend (Bullish/Bearish). Manual Overrides: Need to force a specific count? You can manually set the "Last Completed Wave" (e.g., "Just finished Wave 3") to align the projection with your own analysis. 📊 Comprehensive Dashboard A built-in table displays: Targets: Exact price levels for every upcoming wave. % Change: Standardized percent moves to reach each target. Fib Levels: The Fibonacci logic behind each target (e.g., "0.618 Retrace", "1.618 Ext"). 📈 Additional Overlays 50 & 200 WMA: Trend-following moving averages color-coded for instant bias confirmation. Fibonacci Levels: Dotted horizontal lines showing key support/resistance zones relative to the wave structure. How to Use Add to Chart: Works best on Daily (D) or Weekly (W) timeframes for swing trading contexts. Check Trend: Ensure the "Trend Direction" setting matches your market view (or leave it on "Auto"). Align Count: If the automatic count seems off (e.g., market is clearly in Wave 4 but script says Wave 2), use the "Manual Last Wave" setting to tell the script "I just finished Wave 3". The projection will instantly snap to the correct Wave 4->5 path. Disclaimer: This tool projects hypothetical geometric paths based on standard Elliott Wave theory. Markets do not always follow theory. Use this for planning and scenario analysis, not as a guaranteed signal.
Indicateur Pine Script®
par TheTankTrades
Multi-Timeframe Strength Scanner [JOAT]Multi-Timeframe Strength Scanner Introduction The Multi-Timeframe Strength Scanner is an open-source indicator that combines higher timeframe trend analysis with current timeframe momentum indicators to create a comprehensive market strength assessment system. This mashup integrates ADX (Average Directional Index), Donchian Channels, VWAP (Volume Weighted Average Price), RSI divergence detection, and multi-timeframe EMA analysis into a unified scanner that identifies when trend strength aligns across multiple timeframes. The indicator addresses a critical trading challenge: signals that look strong on one timeframe often fail because higher timeframes are moving in the opposite direction. By analyzing 15-minute, 1-hour, and 4-hour timeframes simultaneously while monitoring current timeframe momentum, this tool helps traders avoid counter-trend trades and identify high-probability setups where multiple timeframes align. Chart showing multi-timeframe alignment dashboard and strength indicators on 15M timeframe Why This Mashup Exists This indicator combines five analytical frameworks that address different aspects of trend strength: ADX Analysis: Measures trend strength regardless of direction using directional movement Donchian Channels: Identifies breakouts and trend continuation using price extremes VWAP: Shows institutional average price and volume-weighted fair value RSI Divergence: Detects momentum exhaustion at current timeframe swing points Multi-Timeframe EMAs: Confirms trend direction across 15M, 1H, and 4H timeframes Each component serves a specific purpose: ADX quantifies trend strength, Donchian Channels identify breakout momentum, VWAP reveals institutional positioning, RSI divergences warn of reversals, and multi-timeframe EMAs ensure directional alignment. Together, they create a strength scanner that filters out weak, counter-trend setups and highlights only those with multi-timeframe confirmation. The mashup is justified because these components use fundamentally different data (directional movement, price extremes, volume-weighted averages, momentum oscillators, moving averages) that respond to different market conditions. When they align, it indicates genuine trend strength rather than temporary momentum. Core Components Explained 1. ADX Trend Strength System ADX (Average Directional Index) measures trend strength on a scale of 0-100: = ta.dmi(adxLength, adxLength) // Trend strength classification strongTrend = adx > adxThreshold // Default: 20 veryStrongTrend = adx > 40 extremeTrend = adx > 60 // Direction determination bullishTrend = plus > minus bearishTrend = minus > plus ADX interpretation: ADX < 20: Weak trend or ranging market - avoid trend-following strategies ADX 20-40: Moderate trend strength - standard trend-following viable ADX 40-60: Strong trend - high-probability trend continuation ADX > 60: Extreme trend - potential exhaustion or very strong momentum The indicator plots ADX as a line with color coding: Green: Strong bullish trend (ADX > 20, +DI > -DI) Red: Strong bearish trend (ADX > 20, -DI > +DI) Gray: Weak trend or ranging (ADX < 20) 2. Donchian Channel Breakout System Donchian Channels track the highest high and lowest low over a specified period: donchianLength = 20 // Configurable upperChannel = ta.highest(high, donchianLength) lowerChannel = ta.lowest(low, donchianLength) midChannel = (upperChannel + lowerChannel) / 2 Breakout signals: Bullish Breakout: Close above upper channel = new 20-bar high Bearish Breakout: Close below lower channel = new 20-bar low Channel Position: Price near upper channel = bullish strength, near lower = bearish strength The indicator uses Donchian breakouts to confirm trend strength. When price breaks out of the channel with strong ADX, it signals high-momentum trend continuation. 3. VWAP Analysis VWAP (Volume Weighted Average Price) calculates the average price weighted by volume: vwap = ta.vwap(hlc3) // Position analysis aboveVWAP = close > vwap // Bullish positioning belowVWAP = close < vwap // Bearish positioning // Distance from VWAP vwapDistance = ((close - vwap) / vwap) * 100 VWAP significance: Institutional traders use VWAP as benchmark for execution quality Price above VWAP = buyers in control, institutions paying premium Price below VWAP = sellers in control, institutions getting discount Large distance from VWAP = potential mean reversion opportunity VWAP acts as dynamic support/resistance level The indicator plots VWAP with dynamic coloring based on price position and uses it for trend confirmation. 4. RSI Divergence Detection The indicator detects divergences using pivot-based analysis: rsi = ta.rsi(close, 14) // Identify swing points pivotHigh = ta.pivothigh(rsi, 5, 5) pivotLow = ta.pivotlow(rsi, 5, 5) // Compare current pivot with previous pivot bullishDivergence = price makes lower low AND rsi makes higher low bearishDivergence = price makes higher high AND rsi makes lower high Divergence types: Regular Bullish: Price LL, RSI HL - momentum improving, potential reversal up Regular Bearish: Price HH, RSI LH - momentum deteriorating, potential reversal down Hidden Bullish: Price HL, RSI LL - trend continuation signal in uptrend Hidden Bearish: Price LH, RSI HH - trend continuation signal in downtrend Divergences are marked with "DIV" labels and used to warn of potential trend exhaustion or continuation. 5. Multi-Timeframe EMA Analysis The indicator analyzes trend direction across three higher timeframes: // Request higher timeframe data htf15mEMA = request.security(syminfo.tickerid, "15", ta.ema(close, 21)) htf1hEMA = request.security(syminfo.tickerid, "60", ta.ema(close, 21)) htf4hEMA = request.security(syminfo.tickerid, "240", ta.ema(close, 21)) // Determine trend direction htf15mBullish = close > htf15mEMA htf1hBullish = close > htf1hEMA htf4hBullish = close > htf4hEMA // Count aligned timeframes bullishCount = (htf15mBullish ? 1 : 0) + (htf1hBullish ? 1 : 0) + (htf4hBullish ? 1 : 0) bearishCount = (!htf15mBullish ? 1 : 0) + (!htf1hBullish ? 1 : 0) + (!htf4hBullish ? 1 : 0) Alignment classification: STRONG BULL: All 3 timeframes bullish (3/3 alignment) BULL: 2 out of 3 timeframes bullish MIXED: Timeframes conflicting (1-1-1 or 2-1 split) BEAR: 2 out of 3 timeframes bearish STRONG BEAR: All 3 timeframes bearish (3/3 alignment) Example showing multi-timeframe alignment dashboard with all three timeframes bullish Strength Scoring System The indicator calculates a comprehensive strength score (0-100) by evaluating: Strength Score Components: - ADX Strength: Up to 25 points (ADX > 40 = 25, ADX > 20 = 15, ADX < 20 = 0) - ADX Direction: Up to 15 points (+DI > -DI = 15 for bull, -DI > +DI = 15 for bear) - Donchian Position: Up to 15 points (breakout = 15, near channel = 10, mid-channel = 5) - VWAP Position: Up to 15 points (above VWAP = 15 for bull, below = 15 for bear) - MTF Alignment: Up to 20 points (3/3 = 20, 2/3 = 13, 1/3 = 7) - RSI Level: Up to 10 points (healthy range = 10, extreme = 5, divergence = -5) Score interpretation: 80-100: Extremely strong trend - high-probability continuation 60-79: Strong trend - favorable for trend-following 40-59: Moderate trend - selective trend trades 20-39: Weak trend - caution, potential reversal 0-19: Very weak or counter-trend - avoid trend-following The dashboard displays the strength score with color coding and individual component breakdown. Visual Elements ADX Line: Main trend strength indicator with dynamic coloring +DI/-DI Lines: Directional movement indicators ADX Threshold: Horizontal line at 20 (configurable) Donchian Channels: Upper, middle, and lower channel lines VWAP Line: Volume-weighted average price with dynamic coloring Divergence Labels: "DIV" markers at RSI divergence points Strength Bars: Background coloring based on strength score Dashboard: Comprehensive table showing: - Current strength score - ADX value and direction - Donchian position - VWAP position - MTF alignment (15M, 1H, 4H status) - RSI level - Overall trend classification Chart showing strength dashboard with component breakdown and visual indicators How Components Work Together The mashup creates a layered strength analysis: Layer 1 - Trend Strength: ADX quantifies how strong the trend is Layer 2 - Breakout Momentum: Donchian Channels identify momentum surges Layer 3 - Institutional Positioning: VWAP shows where smart money is positioned Layer 4 - Momentum Health: RSI divergences warn of exhaustion Layer 5 - Multi-Timeframe Confirmation: HTF EMAs ensure directional alignment Layer 6 - Synthesis: Strength score combines all factors into actionable metric Example scenario: ADX is 45 (Layer 1), price breaks above Donchian upper channel (Layer 2), trading above VWAP (Layer 3), no RSI divergence (Layer 4), and all three higher timeframes are bullish (Layer 5). The strength score reaches 90 (Layer 6), signaling extremely strong bullish trend with high continuation probability. Input Parameters ADX Settings: ADX Length: Period for ADX calculation (default: 14) ADX Threshold: Minimum ADX for strong trend (default: 20) Show +DI/-DI: Toggle directional indicators (default: enabled) Donchian Settings: Donchian Length: Period for channel calculation (default: 20) Show Channels: Toggle channel display (default: enabled) Breakout Sensitivity: Threshold for breakout signals (default: close beyond channel) VWAP Settings: Show VWAP: Toggle VWAP line (default: enabled) VWAP Reset: Session, Week, Month, or Never (default: Daily) Distance Alert: Alert when price moves X% from VWAP (default: 2%) RSI Settings: RSI Length: Period for RSI calculation (default: 14) Show Divergences: Toggle divergence markers (default: enabled) Pivot Lookback: Bars for pivot detection (default: 5) Multi-Timeframe Settings: HTF 1: First higher timeframe (default: 15 minutes) HTF 2: Second higher timeframe (default: 1 hour) HTF 3: Third higher timeframe (default: 4 hours) EMA Length: Period for HTF EMAs (default: 21) Min Alignment: Minimum timeframes aligned for signal (default: 2/3) Display Options: Show Dashboard: Toggle strength score table (default: enabled) Show Strength Bars: Toggle background coloring (default: enabled) Dashboard Position: Top-right, top-left, bottom-right, bottom-left Color Theme: Choose between multiple color schemes How to Use This Indicator Step 1: Check Multi-Timeframe Alignment Review the dashboard MTF section. Look for 2/3 or 3/3 alignment in your intended trade direction. Avoid trades when timeframes are mixed or opposing. Step 2: Verify ADX Strength Ensure ADX is above 20 (preferably above 30) for trend-following trades. ADX below 20 suggests ranging market where trend strategies underperform. Step 3: Confirm Donchian Position Check if price is near or breaking through Donchian channels. Breakouts with strong ADX signal high-momentum moves. Step 4: Assess VWAP Position For long trades, prefer price above VWAP. For short trades, prefer price below VWAP. Large distances from VWAP may indicate overextension. Step 5: Check for Divergences Look for RSI divergence warnings. If divergence appears with extreme strength score, consider taking profits or tightening stops. Step 6: Review Strength Score Use the overall strength score as final filter. Scores above 70 indicate strong trend conditions favorable for trend-following. Scores below 40 suggest caution. Best Practices Use on 5-minute to 1-hour timeframes for optimal multi-timeframe analysis Wait for 2/3 or 3/3 MTF alignment before entering trend trades Strong ADX (> 30) with MTF alignment produces highest-probability setups Donchian breakouts with ADX > 25 often lead to sustained moves VWAP acts as dynamic support/resistance - use for entry refinement RSI divergences in strong trends often lead to pullbacks, not reversals Strength score above 80 suggests strong trend continuation potential Avoid trading when strength score is below 40 unless counter-trend trading Combine with price action and key levels for precise entries Indicator Limitations ADX is lagging indicator - trend strength confirmed after move has started Donchian breakouts can produce false signals in choppy markets VWAP resets daily, may not reflect longer-term institutional positioning Multi-timeframe analysis requires sufficient data history Strength score is mathematical calculation, not prediction of future movement Strong trends can reverse suddenly despite high strength scores Divergences can persist for extended periods in strong trends Higher timeframe data may repaint on lower timeframes Requires understanding of trend analysis concepts for effective use Technical Implementation Built with Pine Script v6 using: DMI/ADX calculation with directional indicators Donchian Channel calculation with breakout detection VWAP calculation with session reset options Pivot-based RSI divergence detection request.security() for multi-timeframe EMA analysis Comprehensive strength scoring algorithm Dynamic dashboard with component breakdown Background coloring based on strength levels The code is fully open-source and can be modified to adjust timeframes, thresholds, and scoring weights. Originality Statement This indicator is original in its multi-timeframe strength integration approach. While individual components (ADX, Donchian Channels, VWAP, RSI divergence, EMAs) are established tools, this mashup is justified because: It combines trend strength measurement with multi-timeframe directional confirmation The strength scoring system quantifies trend quality across multiple dimensions Multi-timeframe analysis prevents counter-trend trades on lower timeframes Integration of volume-weighted analysis (VWAP) with momentum indicators Divergence detection provides early warning within trend strength context Comprehensive dashboard presents complex multi-timeframe data clearly Each component contributes unique information: ADX measures trend strength, Donchian identifies breakout momentum, VWAP shows institutional positioning, RSI divergences warn of exhaustion, and MTF EMAs ensure alignment. The mashup's value lies in filtering out weak, counter-trend setups and highlighting only those with genuine multi-timeframe strength confirmation. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss and is not suitable for all investors. Trend strength indicators are lagging tools that confirm trends after they've begun. Strong trends can reverse suddenly, and high strength scores do not guarantee trend continuation. Multi-timeframe analysis does not eliminate the risk of losses. The strength score is a mathematical calculation based on current market data, not a prediction of future price movement. Past trend strength does not guarantee future performance. Market conditions change, and trends that appear strong can reverse without warning. Always use proper risk management, including stop losses and position sizing appropriate for your account size and risk tolerance. Never risk more than you can afford to lose. Consider consulting with a qualified financial advisor before making investment decisions. The author is not responsible for any losses incurred from using this indicator. Users assume full responsibility for all trading decisions made using this tool. -Made with passion by officialjackofalltrades
Indicateur Pine Script®
par officialjackofalltrades
Bit secure - RSI Divergence🔔 **Bit Secure – RSI Divergence ** **Bit Secure – RSI Divergenct** is a multi-confirmation trading indicator designed to capture **high-probability trend entries** This tool is ideal for traders who want **clear direction, reduced noise, and disciplined entries**. --- ## 🧠 **How the Indicator Works** ### 1️⃣ **UT Bot (ATR-Based Trend Signal)** * Uses **ATR trailing stop logic** to define market direction * Generates: * Optional **Heikin Ashi candle source** for smoother signals ✅ Signals are confirmed on candle close (non-repainting). --- ### 2️⃣ **Hull Moving Average (HMA) – Trend Filter** * Fast and smooth moving average for trend clarity * **Color-changing HMA**: * 🟢 Green → Bullish momentum * 🔴 Red → Bearish momentum * Helps traders **stay with the trend and avoid choppy markets** --- ### 3️⃣ **Open Range Breakout (ORB) Levels** * Automatically marks **Opening Range High & Low** * Session-based calculation (customizable time window) * Acts as: * Intraday **support & resistance** * Breakout confirmation zones Best suited for **intraday trading**, especially index & stock markets. --- ## 📊 **Visual Signals on Chart** * 🟢 **Buy Label** below candle * 🔴 **Sell Label** above candle * Dynamic **Hull MA line** * ORB High (Green) & ORB Low (Red) levels Chart remains **clean and readable**. --- ## 🔔 **Alerts** * ✅ UT Long Alert * ✅ UT Short Alert Alerts trigger only when **valid buy/sell conditions** are met. --- ## ⚙️ **Customizable Inputs** * UT Bot sensitivity & ATR period * Heikin Ashi ON/OFF toggle * Hull Moving Average period * ORB session time & duration Allows easy adjustment for **different markets & timeframes**. --- ## 🎯 **Best Use Case** ✔ Intraday trading ✔ Trend-following strategies ✔ Works well on **Indices, Stocks & Crypto** ✔ Can be combined with price action, VWAP, or support–resistance --- ## ⚠️ **Disclaimer** This indicator provides **entry signals only**. Proper **risk management, stop-loss, and position sizing** should always be applied by the trader. --- Agar chaahe to bhai main: * 🔹 **Short description (2–3 lines)** * 🔹 **Aggressive marketing version** * 🔹 **Bot-style auto-trading disclaimer** * 🔹 **Hindi + English mixed version** bhi bana deta hoon 😄 Bas bol 🔥 nce for early clearance
Indicateur Pine Script®
par devh697
LBR with HM Gartley 1935 on Log Returns Momentum Vol TargetOverview Linda Bradford Raschke's Momentum-based strategy, made by conclusions from the book Profits in the Stock Market by H.M. Gartley in 1935, and uses log returns for directional bias as well as dynamic volatility targeting to maintain consistent risk exposure. Sizes positions inversely to realized volatility (from log returns std dev) for better compounding in trending markets like gold (XAUUSD). Key Features Log returns calculation: ln(close / close ) for time-additive momentum. Directional signals: Enter long when momentum > 0, short when < 0 (configurable strict crossover mode). Volatility scaling: Targets user-defined annual vol (default 20%) → reduces size in high-vol periods. Exits: Percentage TP/SL + explicit close on opposite signals for reliable backtests. Debug visuals: Momentum plot, signal shapes, real-time table (vol, size factor, qty, signal state). How to Use Best on Daily or higher timeframes for meaningful log momentum (e.g., XAUUSD, BTCUSD, stocks). Adjust Momentum Lookback (default 50 bars), Target Vol %, TP/SL %. Backtest with commissions/slippage enabled for realism. Use on log-scale chart for % perspective. Limitations & Notes No guarantees of profitability; markets involve risk. Designed for educational/quant purposes; test thoroughly. Not financial advice. Open-source for community learning. Credits Built on standard quant finance principles (log returns for normality/additivity, vol targeting for risk control). Inspired by discussions on compounding and GARCH-like vol estimation from Linda Bradford Raschke's conclusions from the book Profits in the Stock Market by H.M. Gartley in 1935.
Stratégie Pine Script®
par uzair2join
Price Simplification [LuxAlgo]The Price Simplification indicator provides a streamlined representation of price action by reducing complex market movements into essential trend segments using the Ramer-Douglas-Peucker (RDP) algorithm. This indicator calculates its output based on a fixed window of historical data. Consequently, the line segments are displayed retrospectively and are subject to repainting as new bars develop and the calculation window shifts. 🔶 USAGE The indicator is designed to help traders identify the core structure of price movement by filtering out "noise"—small fluctuations that do not significantly impact the overall trend. By simplifying the price into a series of connected segments, it becomes easier to visualize support/resistance levels, trend slopes, and market geometry. Users can adjust the level of simplification to suit their needs: A lower ATR Multiplier will result in a line that follows price closely, capturing more minor swings. A higher ATR Multiplier will produce a more aggressive simplification, highlighting only the most significant market turns. 🔹 Extension Line The script includes an "Extend Last Segment" feature. When enabled, it projects the trajectory of the final simplified segment into the future using a dashed line. This projection begins one bar after the most recent data point, providing a visual guide for the current price momentum without overlapping the historical simplification. 🔶 DETAILS The core logic of this tool relies on the Ramer-Douglas-Peucker (RDP) algorithm, a classic algorithm used in computer graphics and cartography to reduce the number of points in a curve. The algorithm works through an iterative process: It starts with a line segment connecting the first and last points of the lookback window. It identifies the point between these two ends that is furthest from the segment (perpendicular distance). If this maximum distance is greater than a specified threshold, that point is kept as a "key point," and the algorithm splits the segment into two parts, repeating the process for each. If no point is further than the threshold, all intermediate points are discarded, and the segment remains a straight line. To ensure the simplification remains consistent across different assets and timeframes, the script normalizes price coordinates using the Average True Range (ATR) . This means the threshold for keeping a point is relative to the current market volatility rather than a fixed price value. 🔶 SETTINGS Window Size : The number of recent bars used to apply the RDP algorithm to. ATR Multiplier : The sensitivity of the simplification. Higher values lead to fewer segments and a simpler line. ATR Length : The period used to calculate the ATR for price normalization. Line Color : The color of the simplified polyline. Line Width : The thickness of the polyline and extension. Extend Last Segment : When enabled, projects the slope of the final segment forward as a dashed line starting one bar after the last point.
Indicateur Pine Script®
par LuxAlgo
Session Liquidity LevelsThis indicator automatically plots key ICT-style liquidity levels for intraday trading on ES, NQ, and other futures. It marks: • Previous Day High (PDH) and Previous Day Low (PDL) • Asia Session High and Low (6pm–12am NY time) • London Session High and Low (2am–5am NY time) Each level is displayed with a thin, muted-colored line and a simple label (PDH, PDL, ASIA H/L, LON H/L) to keep your chart clean and uncluttered. Designed for traders using liquidity sweeps, kill zones, and OTE models during the New York session. No shading. No noise. Just the levels that matter.
Indicateur Pine Script®
par kylerst
MASU+ v7.2 (NW+ELM+BOS)# MASU+ v7.2 — Institutional Multi-Strategy Framework (NW + ELM + BOS) ## Overview MASU+ v7.2 is an advanced multi-strategy trading system that combines institutional-grade Smart Money Concepts (SMC), machine learning signal filtering, and adaptive risk management into a single unified framework. The strategy is designed for intraday and swing trading across forex, indices, and commodities. The core philosophy is **high-confluence entries only** — every trade must pass through multiple independent filters before execution, ensuring that only the strongest setups are taken. --- ## Key Components ### 1. Nadaraya-Watson Kernel Ribbon An 8-line non-parametric regression ribbon built on a Fibonacci bandwidth grid (3, 5, 8, 13, 21, 34, 55, 89). The ribbon acts as a dynamic trend filter with three operating modes: - **Strict** — all 8 lines must be perfectly ordered - **Relaxed** — a configurable threshold of ordered pairs (default 6/7) - **Expansion** — ribbon width is increasing in the trend direction The bandwidth can operate in **Fixed** or **Adaptive** mode. In Adaptive mode, bandwidth auto-scales based on ATR-normalized volatility, making the ribbon more responsive in volatile conditions and smoother in calm markets. ### 2. ELM Neural Filter (Extreme Learning Machine) A lightweight online-learning neural network that trains in real time on 7 normalized features: - RSI, Rate of Change, Distance from EMA 200, ADX, NW Kernel Slope, Ribbon Order Score, and Relative Volume The ELM predicts price direction over a configurable lookahead window (default: 5 bars) and outputs a probability score (0–1). Key v7.2 improvements include: - **Weight decay regularization** to prevent parameter drift - **Real-time accuracy calibration** — the ELM tracks its own prediction accuracy and adjusts its voting weight accordingly. An ELM with <50% accuracy effectively gets silenced. - The ELM can act as a soft vote (bonus confluence), a hard blocker, or influence position sizing — all configurable. ### 3. Smart Money Concepts (SMC) Full institutional order flow toolkit: - **Order Blocks** — bullish/bearish engulfing patterns with body-to-range ratio filtering - **Fair Value Gaps (FVG)** — imbalance detection with ATR-scaled minimum size - **Liquidity Sweeps** — stop hunt detection at recent swing highs/lows - **Break of Structure (BOS)** — pivot-based market structure tracking - **Demand/Supply Zones** — impulse-based zones that auto-expire when violated ### 4. BOS Immediate Entry (v7.2) A dedicated scalp-style entry that fires **immediately** when a Break of Structure is detected — no confirmation bars required. Features: - **TP = 0.75 × ATR** — tight scalp target for quick profit capture - **Aggressive trailing** — activates at just 0.1 × ATR from entry with a 0.15 × ATR offset - **Full confluence gate** — BOS entries require the same high confluence score (≥ 7.0) as all other entries, preventing low-quality breakout chasing ### 5. Multi-Timeframe (MTF) Filter Higher timeframe EMA alignment check (default: 4H). Both fast and slow EMAs on the higher timeframe must agree with the trade direction, and price must be on the correct side of the fast EMA. ### 6. Order Flow Analysis - **VWAP** with 3 standard deviation bands (±1σ, ±2σ, ±3σ) - **Cumulative Volume Delta (CVD)** — divergence detection between price and volume delta - **Volume Profile POC** — Point of Control visualization --- ## Confluence Engine (v7.2) Every entry — whether trend-following, breakout, mean-reversion, or BOS — must achieve a **minimum weighted confluence score of 7.0** (out of a maximum 7.5 with default weights). Each filter contributes a configurable weight: | Filter | Default Weight | |---|---| | MTF Alignment | 2.0 | | NW Ribbon | 1.5 | | ELM AI | 1.0 (calibration-adjusted) | | Order Flow | 1.0 | | Smart Money | 1.0 | | ADX Trend Strength | 0.5 | | NW Slope Direction | 0.5 | | **Total** | **7.5** | With the default threshold of 7.0, nearly all filters must agree before a trade is placed. This dramatically reduces noise trades and false signals. --- ## Risk Management ### Volatility Regime Adaptation The strategy classifies the market into 4 regimes and adapts SL/TP accordingly: | Regime | SL Mult | TP Mult | |---|---|---| | High Vol + Trending | 1.5× ATR | 2.5× ATR | | High Vol + Ranging | 1.2× ATR | 1.8× ATR | | Low Vol + Trending | 1.5× ATR | 2.5× ATR | | Low Vol + Ranging | 1.0× ATR | 1.5× ATR | ### Trailing Stop Configurable trailing stop that activates at 25% of the TP distance (default) with a tight 0.2 × ATR offset. Designed to lock in profits early while giving trades room to breathe. ### Kelly Criterion Sizing Position size is dynamically calculated using the Kelly formula based on real-time win rate and win/loss ratio, capped at 25% to prevent over-leverage. ### Quality-Based Sizing Signal confluence score directly affects position size: high-quality setups get full allocation, moderate setups get 80%, and weaker setups get 60%. ### Equity Guard Automatic circuit breaker that pauses trading after a configurable number of consecutive losses (default: 5) or when drawdown exceeds a threshold (default: 15%). Resumes after a cooldown period to prevent emotional revenge trading. ### Cost-Aware Filter Estimates total round-trip cost (spread + commission) and blocks entries where ATR is too small relative to trading costs. Prevents churning in low-volatility environments. --- ## Entry Types 1. **Trend Following** — EMA crossover + volume spike + bullish/bearish trend confirmation 2. **Breakout** — New high/low break + volume spike + EMA filter alignment 3. **Mean Reversion** — Bollinger Band extreme + RSI oversold/overbought + ranging regime 4. **BOS Scalp** — Immediate entry on Break of Structure with tight TP and aggressive trailing All entries require: session filter ✓ | confluence ≥ 7.0 ✓ | R:R check ✓ | cost filter ✓ | equity guard clear ✓ | ELM not blocking ✓ --- ## Dashboard A comprehensive real-time institutional dashboard displays: - Multi-timeframe trend alignment (15M / 1H / 4H) - NW Ribbon state and bandwidth scale - ELM AI probability, accuracy, and confidence weight - Volatility regime classification - Order flow and Smart Money signals - Confluence score with quality rating - Adapted SL/TP levels with regime multipliers - Kelly position sizing - Equity guard status with drawdown tracking - BOS entry status - Session detection (London / New York / Asia / Overlap) - Active demand/supply zone count --- ## What's New in v7.2 - **Confluence threshold raised to 7.0** for all entry types — only the highest-conviction trades are taken - **BOS immediate entry** — no confirmation bar delay; enters on the breakout candle itself - **BOS TP = 0.75 × ATR** — tighter scalp target optimized for quick captures with trailing doing the heavy lifting - **Unified confluence gate** — BOS entries now use the same min_confluence_score as standard entries (no separate hardcoded threshold) --- ## Recommended Settings - **Timeframe:** 1H (primary), with 4H MTF filter - **Session:** 09:00–22:00 (covers London + New York) - **Assets:** Forex majors, Gold (XAUUSD), US indices (NAS100, SPX500) - **Account:** Works with standard lot sizing; commission and spread inputs should be adjusted to your broker --- ## Disclaimer This strategy is provided for educational and research purposes. Past performance does not guarantee future results. Always backtest thoroughly and trade with proper risk management. The ELM neural component learns in real time and its accuracy varies across market conditions.
Stratégie Pine Script®
par Mark_Novak
Wave Velocity Directional PRO 📊 Wave Velocity Directional PRO Wave Velocity Directional PRO is a manual structural analysis tool designed to compare the strength and sharpness of two selected price waves. The indicator allows you to manually select: Wave 1 (start → end) Wave 2 (start → end) It then automatically calculates: Directional Range Velocity (price movement per bar) Velocity Ratio (Wave 1 / Wave 2) Structural Status evaluation 🔍 Directional Range Logic The range is calculated directionally to capture the full movement dimension of the wave: For bullish waves: Range = High_end − Low_start For bearish waves: Range = High_start − Low_end This ensures the full wave amplitude is measured from its true origin to its completion. ⚡ Velocity Velocity = Range / Number of Bars Velocity measures how aggressively price moved per bar. Higher velocity = sharper, more impulsive movement. 📈 Velocity Ratio Ratio = Velocity_Wave1 / Velocity_Wave2 This helps evaluate structural quality: > 1.5 → Strong impulse 1.2–1.5 → Healthy structure 1–1.2 → Weak < 1 → Structural warning 🎯 Use Cases Elliott Wave validation Impulse vs correction comparison Structural asymmetry analysis 1–2 continuation filtering Manual wave strength benchmarking ⚠️ Notes This is a manual analysis tool. Designed for structural comparison. Does not generate trading signals. Works independently of chart scaling or zoom.
Indicateur Pine Script®
par daniv_roman
WaveTrend with Crosses + AlertsWaveTrend with Crosses + Alerts This is a clean WaveTrend oscillator based on the original LazyBear WaveTrend with Crosses, with one key upgrade: built-in alerts for the cross dots (green/red). What it shows WT1 (green) and WT2 (red) WaveTrend lines The WT1–WT2 spread as a blue area (helps visualize momentum swings) Cross dots printed when WT1 crosses WT2: Green dot = WT1 crosses up over WT2 (bullish cross) Red dot = WT1 crosses down under WT2 (bearish cross) Overbought / oversold guide levels: OB1 / OB2 (default: 60 / 53) OS1 / OS2 (default: -60 / -53) Alerts (new) You can create TradingView alerts directly from the indicator: WT Green Dot (Bullish Cross) → triggers when the green dot prints (WT1 crosses up WT2) WT Red Dot (Bearish Cross) → triggers when the red dot prints (WT1 crosses down WT2) How traders commonly use it Trend / momentum timing: Cross dots can help time momentum shifts. Higher quality signals: Many traders prefer bullish crosses occurring near/under the oversold zones and bearish crosses near/above overbought zones. Confirmation: Combine with structure, trend filter, or higher timeframe bias for cleaner entries. Default settings This script ships with commonly used defaults: Channel Length: 9 Average Length: 12 OB/OS levels: 60 / 53 / -60 / -53
Indicateur Pine Script®
par d_jaeger
[CT] Displacement FVG Toolkit Displacement FVG Toolkit is a complete ICT market-structure and execution toolkit designed to help you identify when price is truly repricing, where that repricing left inefficiencies, and how to frame trades with clear context, confirmation, and invalidation. The indicator brings together six institutional-grade concepts into one workflow, Displacement, Fair Value Gaps, Reload Zones, Dealing Range premium and discount, CISD, and Market Structure breaks, so you can stop reacting to random candles and start trading the sequence that professional order flow tends to follow, impulse, imbalance, retrace, and continuation or reversal. The Displacement tool is the engine that decides whether a candle represents meaningful participation or ordinary noise. Displacement is measured by comparing the current candle’s size to the average candle size over a user-defined lookback. You can choose whether the script uses the candle body size or the full high-to-low range for this calculation. When the candle exceeds the average by your selected displacement factor, it is flagged as displacement. Displacement is important because it is the clearest visible clue that the market has moved from balanced auction to aggressive repricing, which is the environment where inefficiencies form and where your best retest trades are born. In the photo, the yellow bars represent the displacement bars, and the indicator prints Buy and Sell markers on those displacement events. The user also has full control to color displacement bars to a color of their choice, so whether you prefer bright yellow, muted gray, or any custom brand color, you can set the exact bullish and bearish displacement bar colors in the inputs. If you do not want bar coloring at all, you can simply turn off displacement bar coloring and use only the markers. The Structure Filter is a powerful addition that prevents displacement from becoming “any big candle.” When enabled, the indicator requires the displacement candle to also break recent structure, meaning price must break above a recent high for bullish displacement or below a recent low for bearish displacement. You can decide whether the structure break is judged by a candle close beyond the prior structure level or by a wick that pierces it. Close-based structure breaks are cleaner and generally reduce false positives, while wick-based breaks are more sensitive and can trigger earlier at the cost of more noise. This filter matters because a large candle in the middle of chop is not the same as a large candle that actually breaks a meaningful swing point, and the indicator gives you a way to enforce that distinction mechanically. The Fair Value Gap tool identifies the most valuable type of imbalance, the three-candle FVG, but it only plots those gaps when they are created by validated displacement. A bullish FVG forms when the current candle’s low is above the high from two candles ago, showing that price skipped a region without fully transacting through it. A bearish FVG forms when the current candle’s high is below the low from two candles ago. These gaps represent unfinished auction, a fast repricing that often leaves behind an inefficiency the market may later revisit to rebalance. You can choose to extend FVGs to the right for a set number of bars so you can see the levels well into the future, or you can keep them confined to the period when they formed. You can also choose whether mitigated FVGs remain visible or are hidden. Mitigation in this script means price has traded back into the gap far enough to invalidate it as an active inefficiency, and when that happens you can either keep it on the chart as historical context or remove it to keep your chart clean. The script also manages object limits by keeping only a user-defined maximum number of FVGs, trimming older ones as needed so the indicator remains stable. Reload Zones are derived directly from the FVGs and are built for execution. Instead of treating the entire gap as the same, the indicator highlights the portion of the imbalance that most often functions as the highest-quality retest area for continuation entries. For bullish FVGs, the Reload Zone is drawn as the upper portion of the gap, and for bearish FVGs it is drawn as the lower portion, which keeps your focus on the retest region that is closest to the direction of repricing and typically provides tighter invalidation. The indicator also includes an optional Invalidation line that marks the far edge of the full FVG, giving you a clean and consistent “line in the sand” for risk management. The intended use is straightforward, you wait for displacement to print and create an FVG, you allow price to retrace into the Reload Zone, and you look for rejection behavior that confirms responsive participation, such as wicks into the zone that close back out, sharp reaction candles, or structure holding in the direction of the displacement. When price accepts inside the zone with multiple closes and slow grind, that’s often a sign the inefficiency is being repaired rather than defended, and the reload entry loses quality. Because reload zones are tied to displacement-generated FVGs, they naturally filter out weaker imbalances and focus you on the kind created during true repricing. The Dealing Range tool provides context by defining a rolling high-to-low range over a user-defined lookback, then splitting that range into premium and discount. The indicator plots DR High, DR Low, and a DR Mid 50% line, and can optionally show PD 62% and PD 38% reference levels inside the range. The fill visually highlights premium above the midpoint and discount below it, which helps you avoid the most common retail mistake, buying in premium and selling in discount without a strong reason. The dealing range is not meant to be a rigid “support and resistance box.” It is meant to help you frame location. In general, long ideas have better location when price is in discount or reclaiming the midpoint with momentum, and short ideas have better location when price is in premium or rejecting the midpoint from below. This becomes especially powerful when combined with your other tools, because a bullish displacement and FVG that forms in discount and then holds the reload zone tends to have much better continuation odds than the same pattern forming at the very top of premium into overhead liquidity. CISD in this indicator is your liquidity-sweep and directional-shift engine, designed to answer a very specific question, did price just take liquidity and then flip orderflow enough to justify a new directional bias. The script first maps swing liquidity using pivot highs and pivot lows over your selected swing period, then tracks when those levels are wicked or mitigated within an expiry window. When a swing high or swing low is taken, the CISD logic watches for the characteristic shift pattern that follows, and when it qualifies it prints a CISD level and establishes a trend state. The “Noise Filter” setting controls how strict the CISD trigger is, higher values reduce noise and produce fewer but more meaningful CISDs, while lower values produce more signals but may include weaker shifts. The indicator also distinguishes between a normal CISD and a stronger CISD that occurs after opposing liquidity was recently wicked within your liquidity lookback, and those stronger events are marked with the directional ▲/▼ symbols so you can immediately recognize when a sweep-and-shift sequence likely occurred instead of a random flip. A key feature you asked for, and that this indicator includes, is that CISD levels can extend in a very controlled way so you can keep trading them without guessing where the level “ends.” The current timeframe CISD lines are drawn at the origin level and then the script can extend only the most recent X CISD lines out past the current bar by a user-defined number of bars, without creating gaps or redrawing incorrectly. This means your newest CISD levels remain visually “live” and tradable into the immediate future, while older CISDs automatically restore to their original endpoints and behave normally. This is important for execution because it keeps the focus on the levels that are most likely to matter now, while still preserving history without clutter. The MTF CISD add-on is what gives you institutional alignment, because it allows a higher timeframe CISD to print onto your execution timeframe. The script computes CISD on the selected HTF using request.security and then draws HTF CISD lines on your chart in real time. You can choose “Confirmed HTF only,” which means the HTF CISD only prints when the higher timeframe candle closes, or you can turn confirmation off to see developing HTF CISDs while the HTF candle is still building. The HTF line style is configurable, and the HTF lines can extend to the right so they behave like real mapped levels. The HTF label is also supported and can be pinned to the right edge with an x-offset, so you always know which timeframe the CISD came from without having to guess. Optional HTF markers can print ▲/▼ on the bar where a new HTF CISD event is detected, which gives you a fast “regime shift” alert that pairs extremely well with your displacement and FVG tools. CISD also includes a candle coloring option so you can visually trade the bias without constantly reading every label. You can keep candle coloring off, turn on an overlay candle layer using plot candle, or use bar color to recolor the native chart candles. The trend that drives candle color can be the current timeframe CISD trend or, if enabled, the HTF CISD trend so your execution timeframe candles reflect the higher timeframe shift. In the combined script, displacement bar coloring still has priority if you leave it enabled, meaning displacement bars will show your displacement color choice first, and the CISD candle coloring will apply where displacement is not overriding. That’s intentional, because displacement bars are “event bars,” while CISD coloring is “state,” and you want to see both without confusion. In terms of how to use CISD with the rest of this indicator, the cleanest institutional workflow is to treat CISD as the directional context and trigger, and use displacement, FVG, and Reload Zones as the execution framework. A fresh HTF CISD is your “macro shift” that tells you which side is likely building control, then you wait for displacement on your execution timeframe that agrees with that bias and produces an FVG. The Reload Zone becomes your location for entry on the retrace, BOS/CHOCH tells you if structure is truly transitioning or continuing, and your invalidation stays anchored to the far edge of the FVG or the CISD level depending on which is tighter and more structurally meaningful. When CISD and displacement disagree, that’s usually a “stand down or reduce size” condition unless you’re explicitly trading a reversal, because it often means the market is still in rotation or repairing imbalance rather than trending cleanly. The BOS and CHOCH tool is the structure confirmation layer. The indicator finds swing highs and swing lows using a pivot-based swing length and then plots structure lines at those pivots. Breaks are detected either by close or by wick, based on your setting. BOS, Break of Structure, signals continuation in the current structural regime, while CHOCH, Change of Character, signals a likely regime change. The indicator uses a simple internal state to differentiate BOS from CHOCH, so you can read structure shifts in real time rather than labeling everything as a generic “break.” You can display structure as lines, labels, or both. The lines extend until price breaks them, then they stop at the break so you can visually see exactly where the market transitioned. This module is especially useful for keeping you out of the trap of assuming a pullback is a reversal. If you see displacement and FVGs but no structural confirmation, you can reduce size or wait. If you see a CHOCH that aligns with a displacement shift and then price returns to a reload zone, you have a much higher quality reversal framework. When you put these tools together, the intended trading workflow becomes a complete narrative. First you identify meaningful movement through displacement, and if you use the structure filter you ensure it is not just a large candle but a break in the auction. That displacement then creates an FVG, the inefficiency left behind by repricing. The Reload Zone marks the most tradable retest area of that inefficiency, and the invalidation line gives you a clear risk boundary. The Dealing Range tells you whether you are taking that setup from a favorable location, discount for longs or premium for shorts. BOS and CHOCH provide the final confirmation layer that tells you whether you are trading continuation or a genuine structural shift. This structure keeps you from chasing breakouts, because it naturally trains you to wait for the pullback into the reload zone and to only participate when price proves acceptance and rejection behavior at the level. This indicator is built to be flexible. You can run it as a clean displacement plus imbalance tool by focusing on displacement, FVGs, and reload zones, or you can turn it into a full context-and-confirmation system by adding dealing range and BOS/CHOCH. If you want a high-signal, low-noise chart, keep the structure break requirement on, use close-based breaks, limit the number of active gaps, and hide mitigated gaps. If you want more sensitivity and earlier signals, use wick-based breaks and allow more gaps to remain visible. The goal is always the same, to help you see when the market is actually repricing, to mark the price areas where that repricing left unfinished business, and to give you a consistent way to execute retests with defined risk and clear structural context.
Indicateur Pine Script®
par ChaosTrader63
2
Auction Weighted Support and Resistance [Metrify]This script builds an “auction-weighted” S/R map that’s intentionally closer to a microstructure proxy than a classic “draw pivots → draw lines” approach. The core idea: treat repeated interactions around the same price as evidence of auction behavior (acceptance vs rejection), then compress that behavior into a small set of ranked horizontal zones per horizon. Instead of outputting dozens of levels, it runs a selection pass to keep only the strongest, spatially distinct levels. Candidate discovery is pivot-driven, but not used naively. The script collects pivot highs/lows into rolling buffers for three horizons (Micro/Short/Medium) with different pivot lengths and memory caps. Those candidates don’t become “levels” directly; they’re just seeds that get clustered and rescored. Clustering is ATR-normalized (distance measured in ATR multiples), so the same logic doesn’t fall apart when you change symbol volatility or timeframe. Each horizon has its own clustering radius (distATR_micro/short/medium), which makes Micro more granular and Medium more tolerant. The “weight” you see is not a single metric. It’s a composite score that tries to approximate how meaningful a price is in an auction sense: Touch count (distinct): interactions are counted only when the candle range gets within a near-band threshold (ATR-normalized), and then gated by minimum bar separation so you don’t get spam from chop printing 20 touches in a row. (this is done with a stride-based loop to avoid blowing runtime on deep lookbacks) Acceptance: a rolling overlap rate of candle ranges inside the box. It’s exponentially weighted (half-life decay), so recent acceptance matters more, but older acceptance still contributes. If price has been “living” around that level, acceptance rises. Rejection quality: wick-aware rejection, but range-gated (not close-gated). The scoring looks at whether the candle range overlaps/approaches the level, then measures wick dominance on the rejecting side plus where the close sits inside the bar range. Age decay: older levels aren’t thrown away automatically, but they get downweighted via an exponential decay term so stale structure doesn’t dominate forever. Those components get combined by f_weightCompose() into a bounded weight using saturating transforms (so touches don’t scale linearly forever) and a decay factor tied to age. When multiple candidates land in the same cluster, the merge is done with a saturating union on weights (1 - (1-oldW)*(1-wAdd)) rather than simple addition, so weights don’t explode and a level can converge toward 1.0 without becoming meaningless. The cluster center price is updated via a weight-based average to prevent random drift from weak additions. After clustering, we does an explicit selection pass instead of drawing everything. First it filters by minScore, then sorts by weight, then applies a spatial suppression step (basically NMS for horizontal levels). The minimum spacing is ATR-based and incorporates both a horizon spacing floor and the zone thickness, so you don’t end up with two bands that overlap visually or convey the same information. On top of that, there’s a global cross-horizon collision gate (f_canDraw) so Medium zones can coexist with Short/Micro without the chart turning into a layered fog of rectangles. Visualization is intentionally “zone-first.” Each selected level becomes a box band whose half-thickness is ATR-scaled per horizon (bandThicknessATR_*). Opacity isn’t linear: it normalizes weight above minScore, applies a power curve to compress mid-range values, and also scales relative to the strongest level in that horizon (so you still get contrast when everything is “kind of strong”). The pressure overlay is not volume-based and not orderflow (pine can’t read L2), but it tries to expose short-term imbalance while price is inside a band. When the last price is inside a zone, it computes a pressure score from two parts: proximity to the center (closer = higher) and a directional imbalance proxy from recent returns sampled only on bars that intersect the band. It then draws two thin lines at the band edges with alpha proportional to that pressure score. This is meant as a “are we being pushed out or absorbed here” hint (not a prediction engine). If you enable the audit panel, the script builds a table listing the levels that actually got drawn (post-selection + collision filtering). The columns map directly to the internal metrics (weight, touches, acceptance, rejection), so you can sanity-check why a level exists. Level IDs are horizon-prefixed (MC/ST/MD) and assigned based on ranking within each horizon. note: rebuild is throttled (rebuildEveryN) and only runs on the last bar. Loops that can go deep use a stride heuristic (1/2/4) to keep runtime predictable on large lookbacks. Arrays are used as bounded buffers for candidate storage, and drawing objects are aggressively deleted/rebuilt to avoid object leaks.
Indicateur Pine Script®
par Metrify
Adaptive BSP v6The Adaptive Buying and Selling Pressure (ABSP) indicator is the "engine" of your system. Unlike standard volume oscillators that just look at total quantity, this logic dissects the internal price action of every candle to determine who is actually in control. 1. The Core Calculation (Intra-Bar Delta) Instead of just looking at the candle color, the ABSP logic calculates pressure based on where the price closes relative to the high and low of the bar: • Buying Pressure (BP): Measured as the distance from the candle's Low to its Close. BP = Close - min(Low, Close) • Selling Pressure (SP): Measured as the distance from the candle's High to its Close. SP = max(High, Close) - Close 2. The Adaptive Lookback (The "Pulse") Standard indicators use a "static" period (like 14 or 20). The ABSP is different; it uses the Market Pulse to change its own length: • It tracks the number of bars since the last significant structural pivot. • If the market is moving fast with frequent pivots, the lookback shortens (more sensitive). • If the market is trending smoothly without pivots, the lookback lengthens (more stable). 3. Statistical Normalization (Z-Score) To make the data readable across different assets (like Crypto vs. Forex), we apply a Z-Score calculation. This measures how many standard deviations the current pressure is away from the mean: • Neutral: Z = approx 0 (Balanced market). • High Intensity: Z > 2.0 (Significant buying surge). • Extreme Exhaustion: Z > 3.0 (Potential blow-off top/bottom). 4. Key Logic Points Feature | Function | Trading Benefit ============================= Net Delta | Subtracts SP from BP. | Instant view of which side is winning the tug-of-war. ---------------------------------------------------------------------------- EMA Smoothing | Uses a Series EMA on the raw values. | Filters out "noise" while remaining responsive to price. ---------------------------------------------------------------------------- Divergence Logic | Compares Price Highs to Pressure Highs. | Flags when a trend is losing "gas" before price actually drops. ---------------------------------------------------------------------------- Z-Intensity Filter | Only flags "PRO" signals at extremes. | Ensures you aren't entering during "retail chop." How it drives the "Fusion" System: In your current setup, the ABSP acts as the ultimate filter. A "Wave" is just a zig-zag on the chart, but the ABSP tells the script: "This wave is legitimate because the Z-Score is at 2.1 and Buying Pressure is exponentially higher than Selling Pressure." Would you like me to add a specific "Exhaustion" alert to the ABSP logic that pings you when the Z-Score hits an extreme level (>3.0), even if a new wave hasn't formed yet?
Indicateur Pine Script®
par kimlombard
NQ 1M Direction Strength Meter (Bull + Bear) [v6]NQ 1M Direction Strength Meter (Bull + Bear) By: StanTheTradingMan License: Mozilla Public License 2.0 (MPL-2.0) Overview NQ 1M Direction Strength Meter is a compact, real-time bull vs bear strength engine designed to answer one question clearly: “Who is in control right now — buyers or sellers — and how strong is that control?” Instead of printing noisy buy/sell spam, this tool continuously scores Bull Strength and Bear Strength on a 0–100 scale , then displays a Net (Bull − Bear) histogram for quick bias confirmation. It’s tuned for NQ 1-minute action but works on any symbol/timeframe. What You Get ✅ Bull Strength (0–100) line ✅ Bear Strength (0–100) line ✅ Net histogram = Bull − Bear (dominance / bias) ✅ Optional background tint when bull/bear becomes “strong” ✅ Flip triangles + alerts when strength crosses the “Strong” threshold ✅ Optional RTH-only scoring (0930–1600) to reduce overnight noise How the Score Works (Simple + Transparent) Each side (bull/bear) is built from five components, blended into a single 0–100 score: Directional Slope (ATR-normalized) Uses EMA slope strength and maps it smoothly (no harsh jumps). Bull score rises when slope is positive; Bear score rises when slope is negative. Level / Trend Alignment Bull points for: above VWAP (optional), above EMA mid, bullish EMA stack (fast ≥ mid ≥ slow) Bear points for: below VWAP (optional), below EMA mid, bearish EMA stack (fast ≤ mid ≤ slow) Volume Participation (shared) Scores higher when current volume meaningfully exceeds its moving average. Helps avoid “weak moves” that drift without participation. Pullback Quality (directional) Bull prefers shallow pullbacks from recent highs. Bear prefers shallow bounces from recent lows. Uses ATR to standardize “how bad” a counter-move is. Momentum (RSI fast) Bull benefits from higher RSI, Bear benefits from lower RSI (fast reaction). Default weighting (blended): Slope 32% • Volume 26% • Pullback Quality 18% • Level/Stack 16% • RSI 8% How to Use It (Practical Read) Think of it like a “directional engine gauge,” not a stand-alone entry system. Bull-favoring conditions: Bull Strength climbs and holds above 50 Bull Strength pushes above 70 (Strong) Bear Strength stays suppressed (often below 50 ) Net histogram positive and expanding Bear-favoring conditions: Bear Strength climbs and holds above 50 Bear Strength pushes above 70 (Strong) Bull Strength stays suppressed Net histogram negative and expanding Chop / no-trade warning: Bull and Bear both hovering near mid-range (around 40–60) Net histogram flipping frequently Strong threshold rarely holds after being crossed Signals & Alerts This script includes two clean “state change” triggers: Bull turns STRONG when Bull Strength crosses above the Strong Threshold (default 70) Bear turns STRONG when Bear Strength crosses above the Strong Threshold (default 70) You can create TradingView alerts using: “BULL STRONG” “BEAR STRONG” These are intended as momentum/confirmation notifications , not guaranteed entries. Recommended Settings (for NQ 1M) Defaults are already tuned for fast index futures behavior: EMA Fast/Mid/Slow: 8 / 21 / 50 RSI Length: 7 (fast) ATR: 14 Volume MA: 20 Lookback (pullback quality): 60 Smoothing: 5 Strong Threshold: 70 Weak Threshold: 50 VWAP scoring: ON (recommended intraday) RTH filter: ON if you want cleaner signal integrity (less overnight noise) Notes / Limitations This is a strength meter, not a full strategy. Use it alongside structure (levels, VWAP, OR, liquidity, etc.). Volume behavior varies by market/session; RTH filtering can dramatically improve signal quality for index futures. Like any oscillator-style tool, it can lag slightly due to smoothing—this is intentional to reduce flicker and false flips. Disclaimer This indicator is for educational and informational purposes only and does not constitute financial advice. Trading involves substantial risk, and you are responsible for your own decisions, risk management, and execution.
Indicateur Pine Script®
par StanTheTradingMan
Fusion Elite: Smart-Alert + ADR [v6]🔱 The Fusion Elite Trading Manifesto Version 1.0 — Execution Strategy & Rules I. The Three Pillars of Confluence Every high-probability trade must be a "meeting of the minds" between three distinct market forces: 1. Market Structure (The Wave): A structural pivot must be confirmed. We don't guess bottoms or tops; we wait for the pivot to print. 2. Internal Pressure (The ABSP): The wave must be backed by net buying or selling pressure. A bullish wave with negative net pressure is a "Fakeout." 3. Momentum (Auto-Lens MACD): The move must have the "wind at its back." We look for the histogram to be in sync with our entry direction. II. Signal Hierarchy Not all labels are created equal. Use this hierarchy to manage your risk: III. The "Gas Tank" (ADR) Rule The Average Daily Range is your most important filter for trend longevity. • Fuel to Burn (>50\% ADR Room): Aggressive entries allowed. The trend has room to expand into a "runner." • Running on Fumes (<20\% ADR Room): No new trend entries. Focus on trailing stops. • Tank Empty (<10\% ADR Room): Look for SESS HUNT 🎯 reversal signals. The market is overextended and likely to "snap back" to the mean. IV. The Trend Shutter (Macro Bias) The 1-Hour background shadow is your "North Star." • Emerald Shadow: Long-bias only. Ignore bearish waves; only take PRO BUY and ADD+ signals. • Crimson Shadow: Short-bias only. Ignore bullish waves; only take PRO SELL and ADD- signals. V. Defensive Procedures (The Warnings) • !! DIV WARNING !!: If the dashboard flashes a divergence warning, the current move is "weak." Move Stop Loss to break-even or take 50\% profit immediately. • Sync Divergence: If the 15s and 5m timeframes are "CHOP" (disagreeing), stay flat. We only strike when the Confluence Meter shows dominance (>75\%). VI. The Professional Mindset "I do not trade price; I trade the confluence of structural pivots, institutional liquidity hunts, and statistical pressure extremes." 1. Verify the Shadow (1H Bias). 2. Check the Gas Tank (ADR Room). 3. Wait for the Confluence (Triple Threat / PRO Signal). 4. Manage the Trade (Trust the ATR-based SL/TP).
Indicateur Pine Script®
par kimlombard
MASU+ Institutional: The Ultimate Trading Ecosystem)Stop Trading Retail. Start Trading Institutional. Welcome to MASU+ Institutional, a comprehensive algorithmic trading framework designed to emulate the logic of hedge funds and institutional market makers. This is not just a "buy/sell" indicator; it is a complete decision-making engine that combines Smart Money Concepts (SMC), Order Flow, and Multi-Timeframe Analysis into a single, automated strategy. The script is built to filter out market noise and trade only when high-probability conditions align across structure, volume, and momentum. Key Features 1. Smart Money Intelligence (SMC) Order Blocks & FVG: Automatically identifies institutional footprints. Liquidity Sweeps: Detects stop-hunts and manipulation points. Break of Structure (BOS): Confirms trend continuations with precision. Demand & Supply Zones: Dynamic plotting of buying and selling pressure zones with mitigation logic. 2. Advanced Order Flow CVD (Cumulative Volume Delta): Analyses buying vs. selling pressure. VWAP Bands: Trades based on institutional value areas. Volume Profile POC: Pinpoints the Point of Control for the current session. 3. Adaptive Risk Management Kelly Criterion Sizing: Dynamically adjusts position size based on win-rate probability. Volatility-Based Stops: SL and TP are calculated using ATR to adapt to market conditions. Auto-Trailing: Locks in profits as the trade moves in your favor. 4. Professional Dashboard A compact, real-time table displaying: MTF Trends: Status of 15m, 1H, and 4H trends. Confluence Score: A rating (1-5) of the signal strength. Market Regime: Identifies if the market is Trending, Ranging, or Volatile. Risk/Reward: Live R:R calculation for the current setup. How It Works The strategy uses a "Waterfall Logic" to enter trades: Macro Filter: Checks the correlation with major indices (SPX, NDX) to ensure we are trading with the global market. Trend Alignment: Confirms direction using Multi-Timeframe EMAs. Volume Confirmation: Requires a spike in volume and positive Order Flow (CVD). SMC Trigger: Enters on Liquidity Sweeps, FVG fills, or Order Block retests. Time Filter: Operates only during high-volume sessions (London/NY) to avoid consolidation chop. Best Practices Timeframe: Optimized for 15m and 1H. Assets: Works best on Indices (US30, NAS100, DAX), Crypto (BTC, ETH), and Major Forex Pairs. Settings: The default settings are tuned for a balance of frequency and accuracy. Use the "Time Filter" to avoid low-volatility sessions. Disclaimer: This strategy is a tool for analysis and automated execution logic. Past performance does not guarantee future results. Always backtest on your specific asset and broker before deploying real capital. 👇 Drop a BOOST if you want more Institutional Tools! 🚀
Stratégie Pine Script®
par Mark_Novak
18