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Standardized Cumulative Deltas [LuxAlgo]The Standardized Cumulative Deltas tool allows traders to compare the cumulative standardized open-close difference for up to 10 different tickers, allowing them to visualize the general sentiment for all selected tickers. These results allow the construction of two areas showing the average or extreme bullish and bearish cumulative change for all enabled tickers, providing a summarized view of the overall ticker group sentiment. 🔶 USAGE This tool is meant to give a full picture of the individuals and/or overall selected tickers, and unlike classical indicators, the displayed series of values is not meant to be directly interpreted over time. Given the selected lookback period, a majority of observations being above 0 indicate an overall bullish market for the asset. By default, the auto lookback period feature is enabled, allowing the tool to use all the visible bars for its calculations. Traders can also set the lookback period manually. The above chart uses a fixed lookback period of 500. Up to 10 tickers can be used. While major cryptocurrencies are set by default, the users can set a specific basket of assets, such as US equities, forex pairs, commodities, etc. 🔹 Densities The provided areas, here called densities, can be used to get an overall sentiment of the selected tickers. The upper density (bullish) processes positive deltas, while the lower one (bearish) processes negative ones. Interpretation is subject to the selected "Density Mode". Average: Densities track the average bullish/bearish cumulative deltas for the selected tickers. For example, a more prominent bullish density would indicate that, on average, cumulative deltas were positive across the tickers. Envelope: Densities track the extreme values made by bullish/bearish cumulative deltas for the selected tickers. Here, a more prominent density would indicate more volatile bullish/bearish movements, depending on the density. 🔹 Dashboard The tool features a dashboard with active tickers and their respective colors for traders' convenience. 🔶 DETAILS 🔹 Densities Densities are obtained by applying a forward-backward exponential moving average on the average, or the highest/lowest cumulative series, depending on the selected Density Mode. The resulting densities are smoothed by the "Smoothing" parameter located in the Settings panel, with higher values returning smoother envelopes with less variability. Do note that the smoothing method used here is subject to repainting. 🔶 SETTINGS Lookback: Select the lookback period and enable/disable the Auto Lookback feature Tickers: Enable/disable and select up to 10 tickers and their colors Density Mode: Determine how densities are calculated 🔹 Dashboard Show Dashboard: Enable/disable the dashboard Position: Select the dashboard position Size: Select the dashboard size 🔹 Style Density: Enable/disable the density areas Bullish Density: Select the color of the top density area Bearish Density: Select the color of the bottom density area Smoothing: Select the smoothing constant for the EMA calculation
Pine Script®指標
由LuxAlgo提供
5
Smart Money Precision Structure [BullByte]Smart Money Precision Structure Advanced Market Structure Analysis Using Institutional Order Flow Concepts --- OVERVIEW Smart Money Precision Structure (SMPS) is a comprehensive market analysis indicator that combines six analytical frameworks to identify high-probability market structure patterns. The indicator uses multi-dimensional scoring algorithms to evaluate market conditions through institutional order flow concepts, providing traders with professional-grade market analysis. --- PURPOSE AND ORIGINALITY Why This Indicator Was Developed • Addresses the gap between retail and institutional analysis methods • Consolidates multiple analysis techniques that professionals use separately • Automates complex market structure evaluation into actionable insights • Eliminates the need for multiple indicators by providing comprehensive analysis What Makes SMPS Original • Six-Layer Confluence System - Unique combination of market regime, structure, volume flow, momentum, price action, and adaptive filtering • Institutional Pattern Recognition - Identifies smart money accumulation and distribution patterns • Adaptive Intelligence - Parameters automatically adjust based on detected market conditions • Real-Time Market Scoring - Proprietary algorithm rates market quality from 0-100% • Structure Break Detection - Advanced pivot analysis identifies trend reversals early --- HOW IT WORKS - TECHNICAL METHODOLOGY 1. Market Regime Analysis Engine The indicator evaluates five core market dimensions: • Volatility Score - Measures current volatility against 50-period historical baseline • Trend Score - Analyzes alignment between 8, 21, and 50-period EMAs • Momentum Score - Combines RSI divergence with MACD signal alignment • Structure Score - Evaluates pivot point formation clarity • Efficiency Score - Calculates directional movement efficiency ratio These scores combine to classify markets into five regimes: • TRENDING - Strong directional movement with aligned indicators • RANGING - Sideways movement with mixed directional signals • VOLATILE - Elevated volatility with unpredictable price swings • QUIET - Low volatility consolidation periods • TRANSITIONAL - Market shifting between different regimes 2. Market Structure Analysis Advanced pivot point analysis identifies: • Higher Highs and Higher Lows for bullish structure • Lower Highs and Lower Lows for bearish structure • Structure breaks when established patterns fail • Dynamic support and resistance from recent pivot points • Key level proximity detection using ATR-based buffers 3. Volume Flow Decoding Institutional activity detection through: • Volume surge identification when volume exceeds 2x average • Buy versus sell pressure analysis using price-volume correlation • Flow strength measurement through directional volume consistency • Divergence detection between volume and price movements • Institutional threshold alerts when unusual volume patterns emerge 4. Multi-Period Momentum Synthesis Weighted momentum calculation across four timeframes: • 1-period momentum weighted at 40% • 3-period momentum weighted at 30% • 5-period momentum weighted at 20% • 8-period momentum weighted at 10% Result smoothed with 6-period EMA for noise reduction. 5. Price Action Quality Assessment Each bar evaluated for: • Range quality relative to 20-period average • Body-to-range ratio for directional conviction • Wick analysis for rejection pattern identification • Pattern recognition including engulfing and hammer formations • Sequential price movement analysis 6. Adaptive Parameter System Parameters automatically adjust based on detected regime: • Trending markets reduce sensitivity and confirmation requirements • Volatile markets increase filtering and require additional confirmations • Ranging markets maintain neutral settings • Transitional markets use moderate adjustments --- COMPLETE SETTINGS GUIDE Section 1: Core Analysis Settings Analysis Sensitivity (0.3-2.0) • Default: 1.0 • Lower values require stronger price movements • Higher values detect more subtle patterns • Scalpers use 0.8-1.2, swing traders use 1.5-2.0 Noise Reduction Level (2-7) • Default: 4 • Controls filtering of false patterns • Higher values reduce pattern frequency • Increase in volatile markets Minimum Move % (0.05-0.50) • Default: 0.15% • Sets minimum price movement threshold • Adjust based on instrument volatility • Forex: 0.05-0.10%, Stocks: 0.15-0.25%, Crypto: 0.20-0.50% High Confirmation Mode • Default: True (Enabled) • Requires all technical conditions to align • Reduces frequency but increases reliability • Disable for more aggressive pattern detection Section 2: Market Regime Detection Enable Regime Analysis • Default: True (Enabled) • Activates market environment evaluation • Essential for adaptive features • Keep enabled for best results Regime Analysis Period (20-100) • Default: 50 bars • Determines regime calculation lookback • Shorter for responsive, longer for stable • Scalping: 20-30, Swing: 75-100 Minimum Market Clarity (0.2-0.8) • Default: 0.4 • Quality threshold for pattern generation • Higher values require clearer conditions • Lower for more patterns, higher for quality Adaptive Parameter Adjustment • Default: True (Enabled) • Enables automatic parameter optimization • Adjusts based on market regime • Highly recommended to keep enabled Section 3: Market Structure Analysis Enable Structure Validation • Default: True (Enabled) • Validates patterns against support/resistance • Confirms trend structure alignment • Essential for reliability Structure Analysis Period (15-50) • Default: 30 bars • Period for structure pattern analysis • Affects support/resistance calculation • Match to your trading timeframe Minimum Structure Alignment (0.3-0.8) • Default: 0.5 • Required structure score for valid patterns • Higher values need stronger structure • Balance with desired frequency Section 4: Analysis Configuration Minimum Strength Level (3-5) • Default: 4 • Minimum confirmations for pattern display • 5 = Maximum reliability, 3 = More patterns • Beginners should use 4-5 Required Technical Confirmations (4-6) • Default: 5 • Number of aligned technical factors • Higher = fewer but better patterns • Works with High Confirmation Mode Pattern Separation (3-20 bars) • Default: 8 bars • Minimum bars between patterns • Prevents clustering and overtrading • Increase for cleaner charts Section 5: Technical Filters Momentum Validation • Default: True (Enabled) • Requires momentum alignment • Filters counter-trend patterns • Essential for trend following Volume Confluence Analysis • Default: True (Enabled) • Requires volume confirmation • Identifies institutional participation • Critical for reliability Trend Direction Filter • Default: True (Enabled) • Only shows patterns with trend • Reduces counter-trend signals • Disable for reversal hunting Section 6: Volume Flow Analysis Institutional Activity Threshold (1.2-3.5) • Default: 2.0 • Multiplier for unusual volume detection • Lower finds more institutional activity • Stock: 2.0-2.5, Forex: 1.5-2.0, Crypto: 2.5-3.5 Volume Surge Multiplier (1.8-4.5) • Default: 2.5 • Defines significant volume increases • Adjust per instrument characteristics • Higher for stocks, lower for forex Volume Flow Period (12-35) • Default: 18 bars • Smoothing for volume analysis • Shorter = responsive, longer = smooth • Match to timeframe used Section 7: Analysis Frequency Control Maximum Analysis Points Per Hour (1-5) • Default: 3 • Limits pattern frequency • Prevents overtrading • Scalpers: 4-5, Swing traders: 1-2 Section 8: Target Level Configuration Target Calculation Method • Default: Market Adaptive • Three modes available: - Fixed: Uses set point distances - Dynamic: ATR-based calculations - Market Adaptive: Structure-based levels Minimum Target/Risk Ratio (1.0-3.0) • Default: 1.5 • Minimum acceptable reward vs risk • Higher filters lower probability setups • Professional standard: 1.5-2.0 Fixed Mode Settings: • Fixed Target Distance: 50 points default • Fixed Invalidation Distance: 30 points default • Use for consistent instruments Dynamic Mode Settings: • Dynamic Target Multiplier: 1.8x ATR default • Dynamic Invalidation Multiplier: 1.0x ATR default • Adapts to volatility automatically Market Adaptive Settings: • Use Structure Levels: True (default) • Structure Level Buffer: 0.1% default • Places levels at actual support/resistance Section 9: Visual Display Settings Color Theme Options • Professional (Teal/Red) - Bullish: Teal (#26a69a) - Bearish: Red (#ef5350) - Neutral: Gray (#78909c) - Best for: Traditional traders, clean appearance • Dark (Neon Green/Pink) - Bullish: Neon Green (#00ff88) - Bearish: Hot Pink (#ff0044) - Neutral: Dark Gray (#333333) - Best for: Dark theme users, high contrast • Light (Green/Red Classic) - Bullish: Green (#4caf50) - Bearish: Red (#f44336) - Neutral: Light Gray (#9e9e9e) - Best for: Light backgrounds, traditional colors • Vibrant (Cyan/Magenta) - Bullish: Cyan (#00ffff) - Bearish: Magenta (#ff00ff) - Neutral: Medium Gray (#888888) - Best for: High visibility, modern appearance Dashboard Position • Options: Top Left, Top Right, Bottom Left, Bottom Right, Middle Left, Middle Right • Default: Top Right • Choose based on chart layout preference Dashboard Size • Full: Complete information display (desktop) • Mobile: Compact view for small screens • Default: Full Analysis Display Style • Arrows : Simple directional markers • Labels : Detailed text information • Zones : Colored areas showing pattern regions • Default: Labels (most informative) Display Options: • Display Analysis Strength: Shows star rating • Display Target Levels: Shows target/invalidation lines • Display Market Regime: Shows regime in pattern labels --- HOW TO USE SMPS - DETAILED GUIDE Understanding the Dashboard Top Row - Header • SMPS Dashboard title • VALUE column: Current readings • STATUS column: Condition assessments Market Regime Row • Shows: TRENDING, RANGING, VOLATILE, QUIET, or TRANSITIONAL • Color coding: Green = Favorable, Red = Caution • Status: FAVORABLE or CAUTION trading conditions Market Score Row • Percentage from 0-100% • Above 60% = Strong conditions • 40-60% = Moderate conditions • Below 40% = Weak conditions Structure Row • Direction: BULLISH, BEARISH, or NEUTRAL • Status: INTACT or BREAK • Orange BREAK indicates structure failure Volume Flow Row • Direction: BUYING or SELLING • Intensity: STRONG or WEAK • Color indicates dominant pressure Momentum Row • Numerical momentum value • Positive = Upward pressure • Negative = Downward pressure Volume Status Row • INST = Institutional activity detected • HIGH = Above average volume • NORM = Normal volume levels Adaptive Mode Row • ACTIVE = Parameters adjusting • STATIC = Fixed parameters • Shows required confirmations Analysis Level Row • Minimum strength level setting • Pattern separation in bars Market State Row • Current analysis: BULLISH, BEARISH, NEUTRAL • Shows analysis price level when active T:R Ratio Row • Current target to risk ratio • GOOD = Meets minimum requirement • LOW = Below minimum threshold Strength Row • BULL or BEAR dominance • Numerical strength value 0-100 Price Row • Current price • Percentage change Last Analysis Row • Previous pattern direction • Bars since last pattern Reading Pattern Signals Bullish Structure Pattern • Upward triangle or "Bullish Structure" label • Star rating shows strength (★★★★★ = strongest) • Green line = potential target level • Red dashed line = invalidation level • Appears below price bars Bearish Structure Pattern • Downward triangle or "Bearish Structure" label • Star rating indicates reliability • Green line = potential target level • Red dashed line = invalidation level • Appears above price bars Pattern Strength Interpretation • ★★★★★ = 6 confirmations (exceptional) • ★★★★☆ = 5 confirmations (strong) • ★★★☆☆ = 4 confirmations (moderate) • ★★☆☆☆ = 3 confirmations (minimum) • Below minimum = filtered out Visual Elements on Chart Lines and Levels: • Gray Line = 21 EMA trend reference • Green Stepline = Dynamic support level • Red Stepline = Dynamic resistance level • Green Solid Line = Active target level • Red Dashed Line = Active invalidation level Pattern Markers: • Triangles = Arrow display mode • Text Labels = Label display mode • Colored Boxes = Zone display mode Target Completion Labels: • "Target" = Price reached target level • "Invalid" = Pattern invalidated by price --- RECOMMENDED USAGE BY TIMEFRAME 1-Minute Charts (Scalping) • Sensitivity: 0.8-1.2 • Noise Reduction: 3-4 • Pattern Separation: 3-5 bars • High Confirmation: Optional • Best for: Quick intraday moves 5-Minute Charts (Precision Intraday) • Sensitivity: 1.0 (default) • Noise Reduction: 4 (default) • Pattern Separation: 8 bars • High Confirmation: Enabled • Best for: Day trading 15-Minute Charts (Short Swing) • Sensitivity: 1.0-1.5 • Noise Reduction: 4-5 • Pattern Separation: 10-12 bars • High Confirmation: Enabled • Best for: Intraday swings 30-Minute to 1-Hour (Position Trading) • Sensitivity: 1.5-2.0 • Noise Reduction: 5-7 • Pattern Separation: 15-20 bars • Regime Period: 75-100 • Best for: Multi-day positions Daily Charts (Swing Trading) • Sensitivity: 1.8-2.0 • Noise Reduction: 6-7 • Pattern Separation: 20 bars • All filters enabled • Best for: Long-term analysis --- MARKET-SPECIFIC SETTINGS Forex Pairs • Minimum Move: 0.05-0.10% • Institutional Threshold: 1.5-2.0 • Volume Surge: 1.8-2.2 • Target Mode: Dynamic or Market Adaptive Stock Indices (ES, NQ, YM) • Minimum Move: 0.10-0.15% • Institutional Threshold: 2.0-2.5 • Volume Surge: 2.5-3.0 • Target Mode: Market Adaptive Individual Stocks • Minimum Move: 0.15-0.25% • Institutional Threshold: 2.0-2.5 • Volume Surge: 2.5-3.5 • Target Mode: Dynamic Cryptocurrency • Minimum Move: 0.20-0.50% • Institutional Threshold: 2.5-3.5 • Volume Surge: 3.0-4.5 • Target Mode: Dynamic • Increase noise reduction --- PRACTICAL APPLICATION EXAMPLES Example 1: Strong Trending Market Dashboard Reading: • Market Regime: TRENDING • Market Score: 75% • Structure: BULLISH, INTACT • Volume Flow: BUYING, STRONG • Momentum: +0.45 Interpretation: • Strong uptrend environment • Institutional buying present • Look for bullish patterns as continuation • Higher probability of success • Consider using lower sensitivity Example 2: Range-Bound Conditions Dashboard Reading: • Market Regime: RANGING • Market Score: 35% • Structure: NEUTRAL • Volume Flow: SELLING, WEAK • Momentum: -0.05 Interpretation: • No clear direction • Low opportunity environment • Patterns are less reliable • Consider waiting for regime change • Or switch to a range-trading approach Example 3: Structure Break Alert Dashboard Reading: • Previous: BULLISH structure • Current: Structure BREAK • Volume: INST flag active • Momentum: Shifting negative Interpretation: • Trend reversal potentially beginning • Institutional participation detected • Watch for bearish pattern confirmation • Adjust bias accordingly • Increase caution on long positions Example 4: Volatile Market Dashboard Reading: • Market Regime: VOLATILE • Market Score: 45% • Adaptive Mode: ACTIVE • Confirmations: Increased to 6 Interpretation: • Choppy conditions • Parameters auto-adjusted • Fewer but higher quality patterns • Wider stops may be needed • Consider reducing position size Below are a few chart examples of the Smart Money Precision Structure (SMPS) indicator in action. • Example 1 – Bullish Structure Detection on SOLUSD 5m • Example 2 – Bearish Structure Detected with Strong Confluence on SOLUSD 5m --- TROUBLESHOOTING GUIDE No Patterns Appearing Check these settings: • High Confirmation Mode may be too restrictive • Minimum Strength Level may be too high • Market Clarity threshold may be too high • Regime filter may be blocking patterns • Try increasing sensitivity Too Many Patterns Adjust these settings: • Enable High Confirmation Mode • Increase Minimum Strength Level to 5 • Increase Pattern Separation • Reduce Sensitivity below 1.0 • Enable all technical filters Dashboard Shows "CAUTION" This indicates: • Market conditions are unfavorable • Regime is RANGING or QUIET • Market score is low • Consider waiting for better conditions • Or adjust expectations accordingly Patterns Not Reaching Targets Consider: • Market may be choppy • Volatility may have changed • Try Dynamic target mode • Reduce target/risk ratio requirement • Check if regime is VOLATILE --- ALERTS CONFIGURATION Alert Message Format Alerts include: • Pattern type (Bullish/Bearish) • Strength rating • Market regime • Analysis price level • Target and invalidation levels • Strength percentage • Target/Risk ratio • Educational disclaimer Setting Up Alerts • Click Alert button on TradingView • Select SMPS indicator • Choose alert frequency • Customize message if desired • Alerts fire on pattern detection --- DATA WINDOW INFORMATION The Data Window displays: • Market Regime Score (0-100) • Market Structure Bias (-1 to +1) • Bullish Strength (0-100) • Bearish Strength (0-100) • Bull Target/Risk Ratio • Bear Target/Risk Ratio • Relative Volume • Momentum Value • Volume Flow Strength • Bull Confirmations Count • Bear Confirmations Count --- BEST PRACTICES AND TIPS For Beginners • Start with default settings • Use High Confirmation Mode • Focus on TRENDING regime only • Paper trade first • Learn one timeframe thoroughly For Intermediate Users • Experiment with sensitivity settings • Try different target modes • Use multiple timeframes • Combine with price action analysis • Track pattern success rate For Advanced Users • Customize per instrument • Create setting templates • Use regime information for bias • Combine with other indicators • Develop systematic rules --- IMPORTANT DISCLAIMERS • This indicator is for educational and informational purposes only • Not financial advice or a trading system • Past performance does not guarantee future results • Trading involves substantial risk of loss • Always use appropriate risk management • Verify patterns with additional analysis • The author is not a registered investment advisor • No liability accepted for trading losses --- VERSION NOTES Version 1.0.0 - Initial Release • Six-layer confluence system • Adaptive parameter technology • Institutional volume detection • Market regime classification • Structure break identification • Real-time dashboard • Multiple display modes • Comprehensive settings ## My Final Thoughts Smart Money Precision Structure represents an advanced approach to market analysis, bringing institutional-grade techniques to retail traders through intelligent automation and multi-dimensional evaluation. By combining six analytical frameworks with adaptive parameter adjustment, SMPS provides comprehensive market intelligence that single indicators cannot achieve. The indicator serves as an educational tool for understanding how professional traders analyze markets, while providing practical pattern detection for those seeking to improve their technical analysis. Remember that all trading involves risk, and this tool should be used as part of a complete analysis approach, not as a standalone trading system. - BullByte
Pine Script®指標
由BullByte提供
2
Statistical FootprintStatistical Footprint - Behavioral Support & Resistance This indicator identifies key price levels based on actual market behavior rather than traditional pivot calculations. It analyzes how bulls and bears have historically moved price from session opens, creating statistical zones where future reactions are most likely. The concept is simple: track how far bullish candles typically push above the open versus how far bearish candles drop below it. These patterns reveal the market's behavioral "footprint" - showing where momentum typically stalls and reverses. Key Features: - Separate analysis for daily and weekly timeframes - Smart zone merging when levels cluster together (within 5 points) - Uses both mean and median calculations for more robust levels - XGBoost-optimized lookback periods for maximum statistical significance - Clean zone-only display focused on actionable price areas How it Works: The code separates bullish and bearish sessions, measuring their typical range extensions from the open. It then projects these statistical ranges forward from current session opens, creating "behavioral zones" where the market has historically shown consistent reactions. When daily and weekly levels align closely, they merge into combined zones with enhanced significance. Labels show both the mean and median values when they differ meaningfully. Best Used For: - Identifying high-probability reversal zones - Setting profit targets based on historical behavior - Understanding market sentiment shifts at key levels - Confluence analysis between different timeframes The lookback periods have been optimized using machine learning to find the most predictive historical sample sizes for current market conditions.
Pine Script®指標
由AmpedTrading提供
2
LogPressure Envelope [BOSWaves]LogPressure Envelope – Adaptive Volatility & Trend Visualizer Overview LogPressure Envelope is a specialized trading tool designed to normalize market behavior using logarithmic price scaling while providing an adaptive framework for volatility and trend detection. The indicator calculates a log-based moving average midline, surrounds it with asymmetric volatility envelopes, and replaces the conventional cloud with progressive fan lines to present price action in a more interpretable form. By integrating rate-of-change midline coloring, fading trend strength, and structured buy/sell markers, LogPressure Envelope simplifies the reading of complex market dynamics. Its design makes it suitable for multiple trading approaches, including scalping, intraday, and swing trading, where volatility behavior and trend shifts must be understood quickly and objectively. Unlike static envelope indicators, LogPressure Envelope adapts continuously to price scale and volatility conditions. It evaluates log-transformed prices, applies configurable moving average methods (EMA, SMA, WMA), and derives asymmetric standard-deviation bands for both upside and downside moves. These envelopes are projected as fan lines with adjustable opacity, producing a layered volatility map that evolves with the market. This system ensures each visual element—midline shading, candle coloring, fan structure, and signal markers—reflects real-time market conditions, allowing traders to interpret volatility expansion, contraction, and directional bias with clarity. How It Works The foundation of LogPressure Envelope is the logarithmic transformation of price. By operating in log space, the indicator removes distortions caused by large nominal price differences across assets, enabling consistent analysis of both low-priced and high-priced instruments. A moving average of log prices is calculated (EMA, SMA, or WMA depending on user input) and then re-converted to normal price scale, forming the log midline. Standard deviation of log prices is then measured over a separate period, with independent multipliers for upside and downside deviations. This asymmetry captures the fact that markets often expand differently in bullish versus bearish phases. Instead of plotting a filled cloud, the envelope is expressed as ten equidistant fan lines stretching from the lower to upper boundary. Each line is shaded progressively to visualize volatility clustering and directional strength without overloading the chart. Trend determination is smoothed using a fade mechanism: shifts in bias do not flip instantly but gradually move toward the new state, producing fewer false transitions. Buy and sell markers are generated when trend strength crosses confirmation thresholds, ensuring signals are event-driven and contextually meaningful. Signals and Visuals LogPressure Envelope provides multiple layers of structured signals: Midline Bias – Central moving average colored by rate-of-change, reflecting directional acceleration or deceleration. Volatility Fan – Ten progressive lines forming a gradient between lower and upper bands, visually encoding volatility spread. Buy Signals – Labels below bars when upward trend strength is confirmed. Sell Signals – Labels above bars when downward trend strength is confirmed. Candle Coloring – Optional shading of candles based on trend alignment with the log midline, highlighting bullish, bearish, or neutral conditions. These signals remain clear even during high-volatility phases, with visual hierarchy maintained through progressive opacity control. Interpretation Trend Analysis : Midline direction and candle coloring provide continuous feedback on prevailing bias. Upward-sloping midlines with blue shading indicate bullish phases, while downward slopes with orange shading confirm bearish conditions. Volatility and Risk Assessment : Expansion of fan lines indicates rising volatility and potential breakout conditions; contraction indicates consolidation and possible mean reversion. Signal Confirmation : Buy and sell markers validate transitions when trend strength thresholds are crossed, aligning with volatility envelope dynamics. Market Context : Asymmetric envelopes allow traders to see where bearish acceleration differs from bullish expansion, improving interpretation of liquidity conditions and institutional pressure. Strategy Integration LogPressure Envelope can be applied across trading styles: Trend Following : Enter trades in the direction of midline bias, confirmed by buy or sell markers. Pullback Entries : Use midline retests during trending conditions as lower-risk continuation points. Volatility Breakouts : Identify sharp expansions in fan line spacing as early signals of directional moves. Reversal Strategies : Fade extreme envelope touches when momentum shows exhaustion and fan contraction begins. Multi-Timeframe Confirmation : Align signals from higher and lower timeframes to reduce noise and validate trade setups. Stop-loss levels can be set near the opposite envelope boundary, while targets may be managed through progressive volatility zones or midline convergence. Advanced Techniques For greater precision, LogPressure Envelope can be combined with other analytical tools: Pair with volume or liquidity measures to validate breakout or reversal conditions. Use momentum indicators to confirm ROC-based midline bias. Track sequences of fan line expansions and contractions to anticipate regime shifts in volatility. Apply across multiple timeframes to monitor how volatility clusters align at different market scales. Adjusting parameters such as envelope multipliers, moving average type, and fade bars allows the indicator to adapt to diverse asset classes and volatility environments. Inputs and Customization Midline Type : Select EMA, SMA, or WMA. Line Opacity : Control visibility of fan lines. Enable Candle Coloring : Toggle trend-based bar shading. MA Length / StdDev Length : Define periods for midline and volatility calculation. Multipliers : Set asymmetric scaling for upside and downside envelopes. Fade Bars : Control smoothness of trend strength transitions. Fan Lines : Adjust number of envelope subdivisions for visualization granularity. Why Use LogPressure Envelope LogPressure Envelope translates complex volatility and trend interactions into a structured and adaptive framework. By combining logarithmic normalization, asymmetric standard deviation envelopes, and smoothed trend confirmation, it allows traders to: Normalize price analysis across assets of different scales. Visualize volatility expansion and contraction in real time. Identify and confirm directional shifts with objective signal markers. Apply a disciplined system for trend, breakout, and reversal strategies. This indicator is designed for traders who want a systematic, visually clear approach to volatility-based market analysis without relying on static bands or arbitrary scaling.
Pine Script®指標
由BOSWaves提供
2
Swing Points - Liquidity DR📌 Description This indicator highlights swing points and liquidity levels with clean visuals and flexible options. It automatically detects significant highs and lows, then plots liquidity zones using customizable lines, boxes, and labels. Volume and Open Interest Δ (OI Δ) filters are integrated to validate the strength of each level. ⚙️ Features Liquidity boxes plotted at swing highs and lows with customizable colors and styles. Toggle visibility for lines, boxes, and labels to keep charts clean. Filter swing levels using Volume thresholds and Open Interest Δ polarity (positive/negative). Multi-exchange OI data support: Binance, BitMEX, Kraken. Extend until fill or auto-remove levels once price interacts with them. Dark/Light theme support with full text/label styling controls. Lookback filter (days) to limit displayed levels for clarity. 🎯 Use Cases Identify liquidity pools where price is likely to react. Track smart money behavior around highs and lows. Combine volume + OI confirmation to focus only on high-value zones.
Pine Script®指標
由KSA_369提供
DBG X WOLONG📊 USER GUIDE – DBG X WOLONG ALGORITHM 🎯 OVERVIEW The DBG X WOLONG Future Algorithm is a Pine Script v5 that integrates multiple advanced technical indicators, enabling traders to analyze markets and make precise trading decisions. ⚙️ MAIN SETTINGS 🔹 Sensitivity Value: 1–20 (Default: 6) Function: Adjusts the sensitivity of the SuperTrend signal Guidelines: Low value (1–5): Fewer signals, higher accuracy High value (15–20): More signals, but with possible noise 🎨 DISPLAY SETTINGS 🔹 Candle Colors Version 1: Based on MACD histogram Version 2: Based on SuperTrend 🔹 Color Themes Theme 1: Traditional Green/Red Theme 2: Gold/Purple Theme 3: Blue/Orange No Fill: No background color displayed 📊 TRADING SIGNALS 🔹 Buy/Sell Signals BUY 🚀 appears when: SuperTrend shifts from bearish to bullish Closing price > SMA 13 Braid Filter confirms SELL appears when: SuperTrend shifts from bullish to bearish Closing price < SMA 13 Braid Filter confirms 🔹 Reversal Signals ▲ (Up Arrow): Buy signal when RSI crosses above 30 ▼ (Down Arrow): Sell signal when RSI crosses below 70 🔹 Pullback Signals ▲ Purple: Pullback in bullish trend ▼ Purple: Pullback in bearish trend 🎯 TAKE PROFIT & STOP LOSS 🔹 TP Modes Version 1: TP based on pivot points Version 2: TP based on regression line Close Price: TP at candle close 🔹 TP/SL Settings TP Ratio: 2.0 (Default) TP Length: 150 (Default) ATR SL Length: 10 ATR SL Risk: 1.9 🔹 Labels Displayed ENTRY: Entry point STOP LOSS: Stop loss point TP 1/2/3: 3 take profit levels ☁️ MOVING AVERAGE CLOUD 🔹 Supported MA Types SMA – Simple Moving Average EMA – Exponential Moving Average WMA – Weighted Moving Average HMA – Hull Moving Average ALMA – Arnaud Legoux Moving Average McGinley – McGinley Dynamic FRAMA – Fractal Adaptive Moving Average 🔹 Cloud Cycles Default: 2, 6, 11, 18, 21, 24, 28, 34 Customizable: All 8 cycles 🔹 Ribbon Cycles Default: 6, 13, 20, 28, 36, 45, 55, 444 Customizable: All 8 cycles 🔧 BRAID FILTER 🔹 Function Filters out noise signals Confirms strong trends 🔹 Settings MA Filter: McGinley (Recommended) Filter Strength: 80% (Default) 📈 TRENDS & INDICATORS 🔹 SuperTrend Main trend indicator Generates primary buy/sell signals 🔹 Advanced Ichimoku Tenkan-Sen: Blue line Kijun-Sen: Orange line Senkou Span A/B: Ichimoku cloud 🔹 Trend Tracking Based on EMA 10 vs EMA 20 Candle colors follow trend direction 🔹 Trend Catcher Range Filter with multiple options Adjustable sensitivity 📊 MULTI-TIMEFRAME TREND PANEL 🔹 Displayed Timeframes 1m, 3m, 5m 15m, 30m, 1H 2H, 4H, 8H, Daily 🔹 Displayed Info Current Position: Bullish/Bearish Trend: Per timeframe Volume: Current trading volume 🔹 Panel Positioning 9 selectable positions Sizes: Large, Normal, Small, Extra Small 🚀 TRADE EXECUTION 📈 LONG ENTRY ✅ Entry Conditions BUY 🚀 signal appears SuperTrend turns from red to green Price > SMA 13 Braid Filter confirms (green) Trend Panel shows "Bullish" across multiple TFs 📊 Additional Confirmations MACD Histogram > 0 and rising RSI crosses above 30 (if reversal signal) EMA Pullback shows ▲ purple 🎯 Trade Management Entry: According to ENTRY label Stop Loss: According to STOP LOSS label Take Profit: TP1 → TP2 → TP3 📉 SHORT ENTRY ✅ Entry Conditions SELL signal appears SuperTrend turns from green to red Price < SMA 13 Braid Filter confirms (red) Trend Panel shows "Bearish" across multiple TFs 📊 Additional Confirmations MACD Histogram < 0 and declining RSI crosses below 70 (if reversal signal) EMA Pullback shows ▼ purple 🎯 Trade Management Entry: According to ENTRY label Stop Loss: According to STOP LOSS label Take Profit: TP1 → TP2 → TP3 🎛️ RECOMMENDED SETTINGS 👥 For Beginners Sensitivity: 6 Candle Colors: Version 1 Buy/Sell Signals: ON Reversal Signals: OFF Trend Panel: ON 🏆 For Experienced Traders Sensitivity: 4–8 (depending on market) Reversal Signals: ON Pullback: ON All indicators: ON ATR SL Risk: 1.5–2.0 ⚡ For Scalping Sensitivity: 8–12 Timeframes: 1m, 3m, 5m Use only: SuperTrend + Braid Filter Quick TP: Only TP1 📊 For Swing Trading Sensitivity: 4–6 Timeframes: 1H, 4H, 1D Use all: Full signals TP: All 3 levels (TP1, TP2, TP3) ⚠️ IMPORTANT NOTES 🔴 Avoid Trading When Signals conflict across timeframes Market is strongly ranging/sideways Abnormally low volume Price is at major support/resistance zones 🟢 Prefer Trading When At least 2–3 confirmations align Clear trend across multiple timeframes Strong volume surge Breakout from consolidation zone 💡 Usage Tips Always wait for confirmation: Never enter with just 1 signal Risk management: Place SL according to STOP LOSS label Follow trend panel: Prioritize overall trend Use multiple timeframes: Analyze top-down Backtest first: Test strategy on historical data 🛠️ TROUBLESHOOTING ❓ No signals appear Check if inputs are enabled Adjust sensitivity Try switching timeframe ❓ Too many false signals Lower sensitivity Increase Braid Filter strength Trade only with main trend ❓ Trend panel not showing Enable "Display Dashboard" Select proper panel position Adjust panel size 📞 SUPPORT If you encounter issues using this script, please: Carefully read this guide Practice on a demo account Backtest thoroughly before live trading 📈 Wishing you successful trading! 🚀
Pine Script®指標
由ionmarpie提供
3
LuxAlgo Swing Highs/Lows & Candle Patterns [edited by AlexsOptioThis script plots higher highs and lower lows as well as lower highs and higher lows. This is an edited script created by LuxAlgo that allows you to turn off the lower highs and higher lows. This makes it very easy to time your entry signals. Entering into an up trending market after lower lows and entering into downtrending market after higher highs You can also use HH and LL to time market tops and bottoms I plan on adding the ability to draw the broadening formation & gauge the magnitude of where price is going in the near future
Pine Script®指標
由AlexsOptions提供
Volume Profile + VAH, VAL, and POCWhat it is A clean, on-chart volume profile that approximates your visible range using a configurable Bars Back window. It builds a horizontal histogram of volume by price, splits each price bin into Buy vs Sell volume, draws POC, and computes Value Area High/Low (VAH/VAL). A Stealth Mode toggle switches to a subtle grayscale palette for low-key charts. Why this instead of the built-in VPVR? Buy/Sell split per bin: See which prices were defended by buyers vs sellers, not just total volume. Value Area from POC outward: Classic expansion method until the selected % of total volume (default 70%). Sleek borders & Stealth Mode: Crisp bin outlines and a one-click professional colorway. Deterministic & fast: No sessions or anchors needed—set your Bars Back and go. How it works (under the hood) Window selection – Pine can’t read your viewport, so we approximate it with Bars Back (user input). Binning – The window’s price range is divided into N bins. Volume allocation – For each bar in the window: Distribute Across Hi–Lo (optional): Spread volume across all bins the bar overlaps, weighted by overlap; or Single-price mode: Assign all volume to one bin using a representative price (hlc3). Buy/Sell split (two methods): Body Proportional (recommended): Split by relative up/down body size (|close−open|). Up/Down Candle: 100% buy if close ≥ open, else 100% sell. POC & VA: Point of Control is the bin with max total volume. VAH/VAL expands from POC toward the higher-volume neighbor until the selected % of total volume is included. Reading the visuals Horizontal bars (right side): Total volume per price bin. Left sub-segment = Sell volume Right sub-segment = Buy volume POC line: Price level with peak total volume. VAH / VAL (dashed): Upper and lower bounds of the selected Value Area. Borders: Each bin has a clean outer outline so the profile looks tight and organized. Stealth Mode: Grayscale palette that preserves contrast without loud colors. Key inputs (organized for clarity) Theme Stealth Mode: Toggles the grayscale look. Core Price Bins: Vertical resolution of the profile. Lookback (Bars): Approximates your visible range. Style Profile Width (bars): How far the histogram extends to the right. Bin Border Width: Outline thickness. Markers & Lines Show POC, Show VAH/VAL, Value Area %, VA line width. Advanced Distribute Volume Across Hi–Lo: More accurate, heavier compute. Buy/Sell Split Method: Body Proportional (realistic) or Up/Down (simple). Tips & best practices Start with Body Proportional + Distribute Across ON for intraday accuracy. If the chart lags, reduce Price Bins or Bars Back, or switch off distribution. For small windows, fewer bins often looks cleaner (e.g., 30–60). Stealth Mode plays nicely with both dark and light chart themes. Limitations & notes Viewport: Pine can’t access the actual visible bars; Bars Back is a practical stand-in. Buy/Sell split: This is an approximation from candle bodies, not true bid/ask delta. Designed for overlay; profile renders to the right of the latest bar.
Pine Script®指標
由TheRealDrip2Rip提供
1
Big Trade Detector luxalcoVolume Threshold Filter → detects only trades larger than a custom threshold. Buy & Sell Highlight → customizable colors and marker size for big buys (green/up) and big sells (red/down). Alert System → optional alerts when a big trade appears. Scalp-Friendly → optimized for low timeframes (1m, 5m, 15m) on BTC, ETH, and Gold. Customizable Sensitivity → user can adjust detection sensitivity for different market conditions. Integration Ready → can be combined with VWAP, Delta, or CVD filters for more accurate signals.
Pine Script®指標
由alik1991sar提供
1
Trend + RSI + Volume//@version=5 strategy("SPY Trend RSI Volume Strategy", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=10) // === Inputs === emaFastLen = input.int(20, title="Fast EMA") emaSlowLen = input.int(50, title="Slow EMA") rsiLen = input.int(14, title="RSI Period") rsiLongThresh = input.int(55, title="RSI Threshold for Long") rsiShortThresh = input.int(45, title="RSI Threshold for Short") volumeMultiplier = input.float(1.5, title="Volume Multiplier") atrLen = input.int(14, title="ATR Length") riskReward = input.float(2.0, title="Risk-Reward Ratio") atrMult = input.float(1.5, title="ATR Multiplier") // === Indicators === emaFast = ta.ema(close, emaFastLen) emaSlow = ta.ema(close, emaSlowLen) rsi = ta.rsi(close, rsiLen) avgVolume = ta.sma(volume, 20) atr = ta.atr(atrLen) // === Conditions === // Trend isBullish = emaFast > emaSlow isBearish = emaFast < emaSlow // Volume volSpike = volume > avgVolume * volumeMultiplier // Entry conditions longCondition = isBullish and rsi > rsiLongThresh and volSpike and close > emaFast shortCondition = isBearish and rsi < rsiShortThresh and volSpike and close < emaFast // === Entries === if (longCondition) stopLoss = close - atr * atrMult takeProfit = close + (close - stopLoss) * riskReward strategy.entry("Long", strategy.long) strategy.exit("TP/SL Long", from_entry="Long", stop=stopLoss, limit=takeProfit) if (shortCondition) stopLoss = close + atr * atrMult takeProfit = close - (stopLoss - close) * riskReward strategy.entry("Short", strategy.short) strategy.exit("TP/SL Short", from_entry="Short", stop=stopLoss, limit=takeProfit) // === Plotting === plot(emaFast, title="EMA 20", color=color.orange) plot(emaSlow, title="EMA 50", color=color.blue)
Pine Script®指標
由onemanstanding提供
ORB Breakouts with alerts"ORB Breakouts with Alerts" is a utility indicator that highlights an Opening Range Breakout (ORB) setup during a user-defined intraday time window. It allows traders to visualize price consolidation ranges and receive alerts when price breaks above or below the session high/low. 🔧 Features: *Customizable session time (start and end), adjustable to local time using a timezone offset. *Automatically plots: *A shaded box around the session's high and low. *Horizontal lines at session high and low levels. *Optional "BUY"/"SELL" labels to mark breakout directions. *Visual breakout signals when price crosses above or below the session range. *Built-in alerts to notify when breakouts occur. *Configurable styling options including box color, highlight color, and label placement. ⚙️ How It Works: *During the defined time range, the script tracks the highest high and lowest low. *After the session ends: *A box is drawn to represent the opening range. *Breakouts above the high or below the low trigger visual markers and optional alerts. *Alerts are limited to one per direction per day to reduce noise. ⚠️ This indicator is a technical analysis tool only and does not provide financial advice or trade recommendations. Always use with proper risk management and in conjunction with your trading plan.
Pine Script®指標
由row004提供
1
Adaptive Valuation [BackQuant]Adaptive Valuation What this is A composite, zero-centered oscillator that standardizes several classic indicators and blends them into one “valuation” line. It computes RSI, CCI, Demarker, and the Price Zone Oscillator, converts each to a rolling z-score, then forms a weighted average. Optional smoothing, dynamic overbought and oversold bands, and an on-chart table make the inputs and the final score easy to inspect. How it works Components • RSI with its own lookback. • CCI with its own lookback. • DM (Demarker) with its own lookback. • PZO (Price Zone Oscillator) with its own lookback. Standardization via z-score Each component is transformed using a rolling z-score over lookback bars: z = (value − mean) ÷ stdev , where the mean is an EMA and the stdev is rolling. This puts all inputs on a comparable scale measured in standard deviations. Weighted blend The z-scores are combined with user weights w_rsi, w_cci, w_dm, w_pzo to produce a single valuation series. If desired, it is then smoothed with a selected moving average (SMA, EMA, WMA, HMA, RMA, DEMA, TEMA, LINREG, ALMA, T3). ALMA’s sigma input shapes its curve. Dynamic thresholds (optional) Two ways to set overbought and oversold: • Static : fixed levels at ob_thres and os_thres . • Dynamic : ±k·σ bands, where σ is the rolling standard deviation of the valuation over dynLen . Bands can be centered at zero or around the valuation’s rolling mean ( centerZero ). Visualization and UI • Zero line at 0 with gradient fill that darkens as the valuation moves away from 0. • Optional plotting of band lines and background highlights when OB or OS is active. • Optional candle and background coloring driven by the valuation. • Summary table showing each component’s current z-score, the final score, and a compact status. How it can be used • Bias filter : treat crosses above 0 as bullish bias and below 0 as bearish bias. • Mean-reversion context : look for exhaustion when the valuation enters the OB or OS region, then watch for exits from those regions or a return toward 0. • Signal confirmation : use the final score to confirm setups from structure or price action. • Adaptive banding : with dynamic thresholds, OB and OS adjust to prevailing variability rather than relying on fixed lines. • Component tuning : change weights to emphasize trend (raise DM, reduce RSI/CCI) or range behavior (raise RSI/CCI, reduce DM). PZO can help in swing environments. Why z-score blending helps Indicators often live on different scales. Z-scoring places them on a common, unitless axis, so a one-sigma move in RSI has comparable influence to a one-sigma move in CCI. This reduces scale bias and allows transparent weighting. It also facilitates regime-aware thresholds because the dynamic bands scale with recent dispersion. Inputs to know • Component lookbacks : rsilb, ccilb, dmlb, pzolb control each raw signal. • Standardization window : lookback sets the z-score memory. Longer smooths, shorter reacts. • Weights : w_rsi, w_cci, w_dm, w_pzo determine each component’s influence. • Smoothing : maType, smoothP, sig govern optional post-blend smoothing. • Dynamic bands : dyn_thres, dynLen, thres_k, centerZero configure the adaptive OB/OS logic. • UI : toggle the plot, table, candle coloring, and threshold lines. Reading the plot • Above 0 : composite pressure is positive. • Below 0 : composite pressure is negative. • OB region : valuation above the chosen OB line. Risk of mean reversion rises and momentum continuation needs evidence. • OS region : mirror logic on the downside. • Band exits : leaving OB or OS can serve as a normalization cue. Strengths • Normalizes heterogeneous signals into one interpretable series. • Adjustable component weights to match instrument behavior. • Dynamic thresholds adapt to changing volatility and drift. • Transparent diagnostics from the on-chart table. • Flexible smoothing choices, including ALMA and T3. Limitations and cautions • Z-scores assume a reasonably stationary window. Sharp regime shifts can make recent bands unrepresentative. • Highly correlated components can overweight the same effect. Consider adjusting weights to avoid double counting. • More smoothing adds lag. Less smoothing adds noise. • Dynamic bands recalibrate with dynLen ; if set too short, bands may swing excessively. If too long, bands can be slow to adapt. Practical tuning tips • Trending symbols: increase w_dm , use a modest smoother like EMA or T3, and use centerZero dynamic bands. • Choppy symbols: increase w_rsi and w_cci , consider ALMA with a higher sigma , and widen bands with a larger thres_k . • Multiday swing charts: lengthen lookback and dynLen to stabilize the scale. • Lower timeframes: shorten component lookbacks slightly and reduce smoothing to keep signals timely. Alerts • Enter and exit of Overbought and Oversold, based on the active band choice. • Bullish and bearish zero crosses. Use alerts as prompts to review context rather than as stand-alone trade commands. Final Remarks We created this to show people a different way of making indicators & trading. You can process normal indicators in multiple ways to enhance or change the signal, especially with this you can utilise machine learning to optimise the weights, then trade accordingly. All of the different components were selected to give some sort of signal, its made out of simple components yet is effective. As long as the user calibrates it to their Trading/ investing style you can find good results. Do not use anything standalone, ensure you are backtesting and creating a proper system.
Pine Script®指標
由BackQuant提供
BE-Volume Footprint & Pressure Candles█ Overview: BE-Volume Footprint & Pressure Candles, is an indicator which is preliminarily designed to analyze the supply and demand patterns based on Rally Base Rally (RBR), Drop Base Drop (DBD), Drop Base Rally (DBR) & Rally Base Drop (RBD) concepts in conjunction to volume pressure. Understanding these concepts are crucial. Let's break down why the "Base" is you Best friend in this context. Commonness in RBR, DBD, DBR, RBD patterns ? There is an impulse price movement at first, be it rally (price moving up) or the Drop (price moving down), followed by a period of consolidation which is referred as "BASE" and later with another impulse move of price (Rally or Drop). Why is the Base Important 1. Market Balance: Base represents a balance between buyers and sellers. This is where decisions are made. 2. Confirmation: It confirms the strength of previous impulse move which has happened. Base & the Liquidity Play: Supply & Demand Zone predict the presence of all large orders within the limits of the Base Zone. Price is expected to return to the zone to fill the unfilled orders placed by large players. For the price to move in the intended direction Liquidity plays the major role. hence indicator aims to help traders in identifying those zones where liquidity exists and the volume pressure helps in confirming that liquidity is making its play. Bottom pane in the below snapshots is a visual representation of Buyers volume pressure (Green Line & the Green filled area) making the price move upwards vs Sellers volume pressure (Red Line & the Red filled area) making the price move downwards. Top pane in the below snapshots is a visual representation on the pattern identification (Blue marked zone & the Blue line referred as Liquidity level) Bullish Pressure On Buy Liquidity: Bearish Pressure On Sell Liquidity: █ How It Works: 1. Indicator computes technical & mathematical operations such as ATR, delta of Highs & Lows of the candle and Candle ranges to identify the patterns and marks the liquidity lines accordingly. 2. Indicator then waits for price to return to the liquidity levels and checks if Directional volume pressure to flow-in while the prices hover near the Liquidity zones. 3. Once the Volume pressure is evident, loop in to the ride. █ When It wont Work: When there no sufficient Liquidity or sustained Opposite volume pressure, trades are expected to fail. █ Limitations: Works only on the scripts which has volume info. Relays on LTF candles to determine intra-bar volumes. Hence, Use on TF greater than 1 min and lesser than 15 min. █ Indicator Features: 1. StrictEntries: employs' tighter rules (rather most significant setups) on the directional volume pressure applied for the price to move. If unchecked, liberal rules applied on the directional volume pressure leading to more setups being identified. 2. Setup Confirmation period: Indicates Waiting period to analyze the directional volume pressure. Early (lesser wait period) is Risky and Late (longer wait period) is too late for the ride. Find the quant based on the accuracy of the setup provided in the bottom right table. 3. Algo Enabled with Place Holders: Indicator is equipped with algo alerts, supported with necessary placeholders to trade any instrument like stock, options etc. Accepted PlaceHolders (Case Sensitive!!) 1. {{ticker}}-->InstrumentName 2. {{datetime}}-->Date & Time Of Order Placement 3. {{close}}-->LTP Price of Script 4. {{TD}}-->Current Level: Note: Negative Numbers for Short Setup 5. {{EN}} {{SL}} {{TGT}} {{T1}} {{T2}} --> Trade Levels 6. {{Qty}} {{Qty*x}} --> Qty -> Trade Qty mapped in Settings. Replace x with actual number of your choice for the multiplier 7. {{BS}}-->Based on the Direction of Trade Output shall be with B or S (B == Long Trade & S == Short Trade) 8. {{BUYSELL}}-->Based on the Direction of Trade Output shall be with BUY or SELL (BUY == Long Trade & SELL == Short Trade) 9. {{IBUYSELL}}-->Based on the Direction of Trade Output shall be with BUY or SELL (BUY == SHORT Trade & SELL == LONG Trade) Dynamic Alerts: 10. { {100R0} }-->Dynamic Place Holder 100 Refers to Strike Difference and Zero refers to ATM 11. { {100R-1} }-->Dynamic Place Holder 100 Refers to Strike Difference and -1 refers to ATM - 100 strike 12. { {50R2} }-->Dynamic Place Holder 50 Refers to Strike Difference and 2 refers to ATM + (2 * 50 = 100) strike 13. { {"ddMMyy", 0} }-->Dynamically Picks today date in the specified format. 14. { {"ddMMyy", n} }-->replace n with actual number of your choice to Pick date post today date in the specified format. 15. { {"ddMMyy", "MON"} }-->dynamically pick Monday date (coming Monday, if today is not Monday) Note. for the 2nd Param-->you can choose to specify either Number OR any letter from => 16. {{CEPE}} {{ICEPE}} {{CP}} {{ICP}} -> Dynamic Option Side CE or C refers to Calls and PE or P refers to Puts. If "I" is used in PlaceHolder text, On long entries PUTs shall be used Indicator is equipped with customizable Trade & Risk management settings like multiple Take profit levels, Trailing SL.
Pine Script®指標
由TradeWiseWithEase提供
BB Crosses Optimized - [JTCAPITAL]BB Crosses Optimized is a modified way to use Bollinger Bands for Trend-Following The indicator works by calculating in the following steps: 1. The source gets smoothed out using a moving average 2. Calculating the Bollinger Bands using the SMA of the smoothed source and the standard deviation of the smoothed source. 3. Trigger a signal based on current price and the buy/sell conditions. --Buy and sell conditions-- -The buy and sell conditions are defined by the price going above/below the first standard deviation. When this goes on the opposite direction of the current trend, the trend changes. If this goes in the same direction of the current trend, the line follows the price by moving up with the standard deviation. -When using the ATR filter the ATR gets subtracted from the lows or added onto the highs to eliminate false signals in choppy markets. --Features and Parameters-- -Allows the usage of different sources -Allows the usage of different moving average types -Allows the changing of the length of the ATR -Allows the changing of the length of the bollinger bands period -Allows the changing of the standard deviation used from the bollinger bands -Allows the changing of the length for smoothing out the price data --Details-- This script is using multiple moving averages, sometimes even stacked upon eachother. And it also uses the moving average of the raw data on a short period to calculate the standard deviations. This in combination with the ATR filter is meant to eliminate as much false signals as I could. Without making all the entries and exits extremely delayed. Be aware that disabling the ATR will allow for faster entries and exits but also allow for more false signals. It is recommended to change the parameters to fit your liking and to adjust to the timeframe you are working on. Enjoy!
Pine Script®指標
由JTCapitalNL提供
Relative Strength Heat [InvestorUnknown]The Relative Strength Heat (RSH) indicator is a relative strength of an asset across multiple RSI periods through a dynamic heatmap and provides smoothed signals for overbought and oversold conditions. The indicator is highly customizable, allowing traders to adjust RSI periods, smoothing methods, and visual settings to suit their trading strategies. The RSH indicator is particularly useful for identifying momentum shifts and potential reversal points by aggregating RSI data across a range of periods. It presents this data in a visually intuitive heatmap, with color-coded bands indicating overbought (red), oversold (green), or neutral (gray) conditions. Additionally, it includes signal lines for overbought and oversold indices, which can be smoothed using RAW, SMA, or EMA methods, and a table displaying the current index values. Features Dynamic RSI Periods: Calculates RSI across 31 periods, starting from a user-defined base period and incrementing by a specified step. Heatmap Visualization: Displays RSI strength as a color-coded heatmap, with red for overbought, green for oversold, and gray for neutral zones. Customizable Smoothing: Offers RAW, SMA, or EMA smoothing for overbought and oversold signals. Signal Lines: Plots scaled overbought (purple) and oversold (yellow) signal lines with a midline for reference. Information Table: Displays real-time overbought and oversold index values in a table at the top-right of the chart. User-Friendly Inputs: Allows customization of RSI source, period ranges, smoothing length, and colors. How It Works The RSH indicator aggregates RSI calculations across 31 periods, starting from the user-defined Starting Period and incrementing by the Period Increment. For each period, it computes the RSI and determines whether the asset is overbought (RSI > threshold_ob) or oversold (RSI < threshold_os). These states are stored in arrays (ob_array for overbought, os_array for oversold) and used to generate the following outputs: Heatmap: The indicator plots 31 horizontal bands, each representing an RSI period. The color of each band is determined by the f_col function: Red if the RSI for that period is overbought (>threshold_ob). Green if the RSI is oversold (
Pine Script®指標
由InvestorUnknown提供
Big Mo’s Glaskugel — Macro Drawdown Risk (v1.1.2)What it does / what you see An at-a-glance drawdown-risk oscillator that blends several macro US signals. • A smooth, color-blended line (green→orange→red) shows the scaled risk score (0–100). • Subtle shading marks “re-steepen warning windows” (starts when the yield curve re-steepens after an inversion; ends on normalization/cool-down). • A compact status table summarizes: overall risk level, Yield Curve (10y–3m), Credit Stress (Baa–10y), Economy (LEI), and Valuation (CAPE). Data used & why Yield Curve (10y–3m) — FRED:T10Y3M. Inversions and subsequent re-steepens often precede recessions/equity drawdowns. Credit Stress — FRED:BAA10Y vs its 1-year average (deviation in bps). Widening credit spreads flag tightening financial conditions. Economy (LEI) — ECONOMICS:USLEI. 6-month annualized growth below a cutoff highlights macro deterioration. Valuation (CAPE) — SHILLER_PE_RATIO_MONTH. Elevated valuations can amplify downside risk. VIX spikes — optional boost that recognizes sudden risk repricings. Important disclaimer This is not a reliable or predictive indicator in all regimes. No guarantees or warranties of any kind are provided. It is not financial advice. Signals can be early, late, or wrong. That said, it leans on well-studied warning factors (yield-curve dynamics, credit spreads, LEI weakness, valuation extremes) that have flagged major market downturns in the past. Key customization / tweaks Weights for each component (Yield, Credit, LEI, VIX, CAPE). Thresholds: yield inversion months, re-steepen lookback, credit-stress bps, LEI cutoff, CAPE level, VIX spike levels. Re-steepen boost: enable/disable, base points, half-life decay. Shading behavior: cool-down bars to “unwarn,” max warning duration, only shade when risk ≠ green. Scaling & smoothing: dynamic rolling max, EMA length, yellow/red thresholds. Status table: position, and a snapshot mode to view values at a chosen historical time.
Pine Script®指標
由BigMo_GQ提供
ICT – Sweep + FVG + Displacement The ICT (Inner Circle Trader) strategy is a sophisticated trading philosophy rooted in institutional market behavior. It revolves around understanding how large players manipulate price to trigger retail stop-losses, create liquidity, and execute their orders. At its core, ICT focuses on market structure, identifying Higher Highs, Lower Lows, and shifts that signal potential reversals. Key concepts include Order Blocks—zones where institutions placed significant orders—and Fair Value Gaps (FVG), untraded areas that price tends to return to. The Liquidity Grab is a crucial phase: price sweeps through key levels to trap retail traders before reversing. Traders use higher timeframes (H4/H1) for structure analysis and lower ones (M15/M5) for precise entries. Entries occur after a Market Structure Shift, confirmed by FVG fill or OB retest, with strict risk management. A minimum 3:1 risk-reward ratio ensures long-term profitability. The strategy demands deep market awareness, patience, and discipline. It’s not about indicators, but about reading the "invisible hand" of the market—where supply and demand meet, and where smart money moves. For advanced traders, ICT offers a window into the true mechanics of price action, transforming trading from speculation into strategic insight. It’s not just a method—it’s a mindset.
Pine Script®策略
由diarramohamed1提供
Prev RTH FibsThis study captures the previous day’s Regular Trading Hours (RTH) range (default 09:30–16:00 America/New_York), then projects it onto the current session. It draws HIGH, LOW, and an optional 50% midpoint, plus a configurable set of inside fib-style percentages measured from the HIGH downward. Every level extends a short distance to the right of the current price and shows a clean numeric label (no box) on the right edge. Key features Prev-day RTH range tracked automatically; plotted each new session. Inside levels (from HIGH ↓): 11%, 25%, 29.5%, 38.2%, 45%, 55%, 62% (OTE), 70.5%, 75%, 78.6%, 85% (toggle any on/off). Clean right-side labels: numbers only, resizable (Tiny → Huge) with transparent background. Line styling: HIGH/LOW and 50% are solid; inside levels can be Solid/Dashed/Dotted with independent color/width. Smart right padding: lines/labels extend a few bars past the latest candle, so annotations stay beside price without violating TradingView’s “>500 bars in future” rule. Works on any symbol/timeframe; RTH window and timezone are adjustable. Inputs you control Session: RTH session string and timezone. Right-side padding (bars) and number size. Visibility & style for HIGH, LOW, and 50%. Which inside levels to show, plus their style/color/width.
Pine Script®指標
由crptoworthy提供
HorizonSigma Pro [CHE]HorizonSigma Pro Disclaimer Not every timeframe will yield good results . Very short charts are dominated by microstructure noise, spreads, and slippage; signals can flip and the tradable edge shrinks after costs. Very high timeframes adapt more slowly, provide fewer samples, and can lag regime shifts. When you change timeframe, you also change the ratios between horizon, lookbacks, and correlation windows—what works on M5 won’t automatically hold on H1 or D1. Liquidity, session effects (overnight gaps, news bursts), and volatility do not scale linearly with time. Always validate per symbol and timeframe, then retune horizon, z-length, correlation window, and either the neutral band or the z-threshold. On fast charts, “components” mode adapts quicker; on slower charts, “super” reduces noise. Keep prior-shift and calibration enabled, monitor Hit Rate with its confidence interval and the Brier score, and execute only on confirmed (closed-bar) values. For example, what do “UP 61%” and “DOWN 21%” mean? “UP 61%” is the model’s estimated probability that the close will be higher after your selected horizon—directional probability, not a price target or profit guarantee. “DOWN 21%” still reports the probability of up; here it’s 21%, which implies 79% for down (a short bias). The label switches to “DOWN” because the probability falls below your short threshold. With a neutral-band policy, for example ±7%, signals are: Long above 57%, Short below 43%, Neutral in between. In z-score mode, fixed z-cutoffs drive the call instead of percentages. The arrow length on the chart is an ATR-scaled projection to visualize reach; treat it as guidance, not a promise. Part 1 — Scientific description Objective. The indicator estimates the probability that price will be higher after a user-defined horizon (a chosen number of bars) and emits long, short, or neutral decisions under explicit thresholds. It combines multi‑feature, z‑normalized inputs, adaptive correlation‑based weighting, a prior‑shifted sigmoid mapping, optional rolling probability calibration, and repaint‑safe confirmation. It also visualizes an ATR‑scaled forward projection and prints a compact statistics panel. Data and labeling. For each bar, the target label is whether price increased over the past chosen horizon. Learning is deliberately backward‑looking to avoid look‑ahead: features are associated with outcomes that are only known after that horizon has elapsed. Feature engineering. The feature set includes momentum, RSI, stochastic %K, MACD histogram slope, a normalized EMA(20/50) trend spread, ATR as a share of price, Bollinger Band width, and volume normalized by its moving average. All features are standardized over rolling windows. A compressed “super‑feature” is available that aggregates core trend and momentum components while penalizing excessive width (volatility). Users can switch between a “components” mode (weighted sum of individual features) and a “super” mode (single compressed driver). Weighting and learning. Weights are the rolling correlations between features (evaluated one horizon ago) and realized directional outcomes, smoothed by an EMA and optionally clamped to a bounded range to stabilize outliers. This produces an adaptive, regime‑aware weighting without explicit machine‑learning libraries. Scoring and probability mapping. The raw score is either the weighted component sum or the weighted super‑feature. The score is standardized again and passed through a sigmoid whose steepness is user‑controlled. A “prior shift” moves the sigmoid’s midpoint to the current base rate of up moves, estimated over the evaluation window, so that probabilities remain well‑calibrated when markets drift bullish or bearish. Probabilities and standardized scores are EMA‑smoothed for stability. Decision policy. Two modes are supported: - Neutral band: go long if the probability is above one half plus a user‑set band; go short if it is below one half minus that band; otherwise stay neutral. - Z‑score thresholds: use symmetric positive/negative cutoffs on the standardized score to trigger long/short. Repaint protection. All values used for decisions can be locked to confirmed (closed) bars. Intrabar updates are available as a preview, but confirmed values drive evaluation and stats. Calibration. An optional rolling linear calibration maps past confirmed probabilities to realized outcomes over the evaluation window. The mapping is clipped to the unit interval and can be injected back into the decision logic if desired. This improves reliability (probabilities that “mean what they say”) without necessarily improving raw separability. Evaluation metrics. The table reports: hit rate on signaled bars; a Wilson confidence interval for that hit rate at a chosen confidence level; Brier score as a measure of probability accuracy; counts of long/short trades; average realized return by side; profit factor; net return; and exposure (signal density). All are computed on rolling windows consistent with the learning scheme. Visualization. On the chart, an arrowed projection shows the predicted direction from the current bar to the chosen horizon, with magnitude scaled by ATR (optionally scaled by the square‑root of the horizon). Labels display either the decision probability or the standardized score. Neutral states can display a configurable icon for immediate recognition. Computational properties. The design relies on rolling means, standard deviations, correlations, and EMAs. Per‑bar cost is constant with respect to history length, and memory is constant per tracked series. Graphical objects are updated in place to obey platform limits. Assumptions and limitations. The method is correlation‑based and will adapt after regime changes, not before them. Calibration improves probability reliability but not necessarily ranking power. Intrabar previews are non‑binding and should not be evaluated as historical performance. Part 2 — Trader‑facing description What it does. This tool tells you how likely price is to be higher after your chosen number of bars and converts that into Long / Short / Neutral calls. It learns, in real time, which components—momentum, trend, volatility, breadth, and volume—matter now, adjusts their weights, and shows you a probability line plus a forward arrow scaled by volatility. How to set it up. 1) Choose your horizon. Intraday scalps: 5–10 bars. Swings: 10–30 bars. The default of 14 bars is a balanced starting point. 2) Pick a feature mode. - components: granular and fast to adapt when leadership rotates between signals. - super: cleaner single driver; less noise, slightly slower to react. 3) Decide how signals are triggered. - Neutral band (probability based): intuitive and easy to tune. Widen the band for fewer, higher‑quality trades; tighten to catch more moves. - Z‑score thresholds: consistent numeric cutoffs that ignore base‑rate drift. 4) Keep reliability helpers on. Leave prior shift and calibration enabled to stabilize probabilities across bullish/bearish regimes. 5) Smoothing. A short EMA on the probability or score reduces whipsaws while preserving turns. 6) Overlay. The arrow shows the call and a volatility‑scaled reach for the next horizon. Treat it as guidance, not a promise. Reading the stats table. - Hit Rate with a confidence interval: your recent accuracy with an uncertainty range; trust the range, not only the point. - Brier Score: lower is better; it checks whether a stated “70%” really behaves like 70% over time. - Profit Factor, Net Return, Exposure: quick triage of tradability and signal density. - Average Return by Side: sanity‑check that the long and short calls each pull their weight. Typical adjustments. - Too many trades? Increase the neutral band or raise the z‑threshold. - Missing the move? Tighten the band, or switch to components mode to react faster. - Choppy timeframe? Lengthen the z‑score and correlation windows; keep calibration on. - Volatility regime change? Revisit the ATR multiplier and enable square‑root scaling of horizon. Execution and risk. - Size positions by volatility (ATR‑based sizing works well). - Enter on confirmed values; use intrabar previews only as early signals. - Combine with your market structure (levels, liquidity zones). This model is statistical, not clairvoyant. What it is not. Not a black‑box machine‑learning model. It is transparent, correlation‑weighted technical analysis with strong attention to probability reliability and repaint safety. Suggested defaults (robust starting point). - Horizon 14; components mode; weight EMA 10; correlation window 500; z‑length 200. - Neutral band around seven percentage points, or z‑threshold around one‑third of a standard deviation. - Prior shift ON, Calibration ON, Use calibrated for decisions OFF to start. - ATR multiplier 1.0; square‑root horizon scaling ON; EMA smoothing 3. - Confidence setting equivalent to about 95%. Disclaimer No indicator guarantees profits. HorizonSigma Pro is a decision aid; always combine with solid risk management and your own judgment. Backtest, forward test, and size responsibly. The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Enhance your trading precision and confidence 🚀 Best regards Chervolino
Pine Script®指標
由chervolino提供
Untouched ExtremesWhat it is Untouched Extremes plots horizontal levels at green-candle highs and red-candle lows. Each level is considered “untouched” (clean liquidity) until price revisits it; on the first valid touch the line auto-deletes, keeping only live targets on your chart. How it works (logic) Bar close event If close > open, the script draws a line at that bar’s high and extends it to the right. If close < open, it draws a line at that bar’s low and extends it to the right. (Optional) Perfect/almost-dojis can be classified as green or red via settings. Touch & removal A green-high line is removed when any later bar’s high ≥ level (optionally within a tick tolerance). A red-low line is removed when any later bar’s low ≤ level (optionally within a tick tolerance). You can delay deletion by N bars to make the touch visible before the line disappears. Housekeeping Maximum active lines per side and line styling are user-configurable. Why it’s useful Untouched highs/lows often coincide with resting liquidity and incomplete price probes. Tracking them helps: Define targets and magnets price may seek. Frame mean-reversion rotations after a failed push. Keep the chart clean: only levels that have not been traded are displayed. How to use it (trading idea) Confirmation rule: Treat the line as a level/zone. Price can pierce it; wait for a clear reversal candle pattern (e.g., pin bar, engulfing, strong momentum shift) at or immediately after the touch. Directional play: If a bullish reversal pattern forms at/around a red-low line, the working assumption is that price will move toward the first untouched upper line (nearest green-high line above). Many traders use that as the primary target. Conversely, if a bearish reversal pattern forms at/around a green-high line, expect rotation toward the first untouched lower line. Risk management: Stops typically go just beyond the level or beyond the pattern’s wick. Consider a fixed R:R (e.g., 1:2) and partials at intermediate levels. Settings Doji handling: Choose how to classify close ≈ open bars (Green / Red / Ignore). A small equality margin (ticks) helps with rounding on some symbols. Touch tolerance (ticks): Counts near-misses as touches if desired. Deletion delay (bars): Wait N bars after creation before a line becomes eligible for deletion. Max lines per side / width / colors: Keep the view readable. Tips Works on any symbol/timeframe; lower TFs produce more levels—adjust Max lines accordingly. Combining with a trend filter (e.g., EMA-200), ATR distance, or volume clues can improve selectivity. If spreads or wicks are noisy, increase tolerance slightly and/or use deletion delay to visualize touches. Note: This tool provides structure and potential targets, not signals by itself. Always require your reversal pattern as confirmation and manage risk appropriately.
Pine Script®指標
由BullBearSR提供