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FEDFUNDS Rate Divergence Oscillator [BackQuant]FEDFUNDS Rate Divergence Oscillator 1. Concept and Rationale The United States Federal Funds Rate is the anchor around which global dollar liquidity and risk-free yield expectations revolve. When the Fed hikes, borrowing costs rise, liquidity tightens and most risk assets encounter head-winds. When it cuts, liquidity expands, speculative appetite often recovers. Bitcoin, a 24-hour permissionless asset sometimes described as “digital gold with venture-capital-like convexity,” is particularly sensitive to macro-liquidity swings. The FED Divergence Oscillator quantifies the behavioural gap between short-term monetary policy (proxied by the effective Fed Funds Rate) and Bitcoin’s own percentage price change. By converting each series into identical rate-of-change units, subtracting them, then optionally smoothing the result, the script produces a single bounded-yet-dynamic line that tells you, at a glance, whether Bitcoin is outperforming or underperforming the policy backdrop—and by how much. 2. Data Pipeline • Fed Funds Rate – Pulled directly from the FRED database via the ticker “FRED:FEDFUNDS,” sampled at daily frequency to synchronise with crypto closes. • Bitcoin Price – By default the script forces a daily timeframe so that both series share time alignment, although you can disable that and plot the oscillator on intraday charts if you prefer. • User Source Flexibility – The BTC series is not hard-wired; you can select any exchange-specific symbol or even swap BTC for another crypto or risk asset whose interaction with the Fed rate you wish to study. 3. Math under the Hood (1) Rate of Change (ROC) – Both the Fed rate and BTC close are converted to percent return over a user-chosen lookback (default 30 bars). This means a cut from 5.25 percent to 5.00 percent feeds in as –4.76 percent, while a climb from 25 000 to 30 000 USD in BTC over the same window converts to +20 percent. (2) Divergence Construction – The script subtracts the Fed ROC from the BTC ROC. Positive values show BTC appreciating faster than policy is tightening (or falling slower than the rate is cutting); negative values show the opposite. (3) Optional Smoothing – Macro series are noisy. Toggle “Apply Smoothing” to calm the line with your preferred moving-average flavour: SMA, EMA, DEMA, TEMA, RMA, WMA or Hull. The default EMA-25 removes day-to-day whips while keeping turning points alive. (4) Dynamic Colour Mapping – Rather than using a single hue, the oscillator line employs a gradient where deep greens represent strong bullish divergence and dark reds flag sharp bearish divergence. This heat-map approach lets you gauge intensity without squinting at numbers. (5) Threshold Grid – Five horizontal guides create a structured regime map:  • Lower Extreme (–50 pct) and Upper Extreme (+50 pct) identify panic capitulations and euphoria blow-offs.  • Oversold (–20 pct) and Overbought (+20 pct) act as early warning alarms.  • Zero Line demarcates neutral alignment. 4. Chart Furniture and User Interface • Oscillator fill with a secondary DEMA-30 “shader” offers depth perception: fat ribbons often precede high-volatility macro shifts. • Optional bar-colouring paints candles green when the oscillator is above zero and red below, handy for visual correlation. • Background tints when the line breaches extreme zones, making macro inflection weeks pop out in the replay bar. • Everything—line width, thresholds, colours—can be customised so the indicator blends into any template. 5. Interpretation Guide Macro Liquidity Pulse  • When the oscillator spends weeks above +20 while the Fed is still raising rates, Bitcoin is signalling liquidity tolerance or an anticipatory pivot view. That condition often marks the embryonic phase of major bull cycles (e.g., March 2020 rebound).  • Sustained prints below –20 while the Fed is already dovish indicate risk aversion or idiosyncratic crypto stress—think exchange scandals or broad flight to safety. Regime Transition Signals  • Bullish cross through zero after a long sub-zero stint shows Bitcoin regaining upward escape velocity versus policy.  • Bearish cross under zero during a hiking cycle tells you monetary tightening has finally started to bite. Momentum Exhaustion and Mean-Reversion  • Touches of +50 (or –50) come rarely; they are statistically stretched events. Fade strategies either taking profits or hedging have historically enjoyed positive expectancy.  • Inside-bar candlestick patterns or lower-timeframe bearish engulfings simultaneously with an extreme overbought print make high-probability short scalp setups, especially near weekly resistance. The same logic mirrors for oversold. Pair Trading / Relative Value  • Combine the oscillator with spreads like BTC versus Nasdaq 100. When both the FED Divergence oscillator and the BTC–NDQ relative-strength line roll south together, the cross-asset confirmation amplifies conviction in a mean-reversion short.  • Swap BTC for miners, altcoins or high-beta equities to test who is the divergence leader. Event-Driven Tactics  • FOMC days: plot the oscillator on an hourly chart (disable ‘Force Daily TF’). Watch for micro-structural spikes that resolve in the first hour after the statement; rapid flips across zero can front-run post-FOMC swings.  • CPI and NFP prints: extremes reached into the release often mean positioning is one-sided. A reversion toward neutral in the first 24 hours is common. 6. Alerts Suite Pre-bundled conditions let you automate workflows: • Bullish / Bearish zero crosses – queue spot or futures entries. • Standard OB / OS – notify for first contact with actionable zones. • Extreme OB / OS – prime time to review hedges, take profits or build contrarian swing positions. 7. Parameter Playground • Shorten ROC Lookback to 14 for tactical traders; lengthen to 90 for macro investors. • Raise extreme thresholds (for example ±80) when plotting on altcoins that exhibit higher volatility than BTC. • Try HMA smoothing for responsive yet smooth curves on intraday charts. • Colour-blind users can easily swap bull and bear palette selections for preferred contrasts. 8. Limitations and Best Practices • The Fed Funds series is step-wise; it only changes on meeting days. Rapid BTC oscillations in between may dominate the calculation. Keep that perspective when interpreting very high-frequency signals. • Divergence does not equal causation. Crypto-native catalysts (ETF approvals, hack headlines) can overwhelm macro links temporarily. • Use in conjunction with classical confirmation tools—order-flow footprints, market-profile ledges, or simple price action to avoid “pure-indicator” traps. 9. Final Thoughts The FEDFUNDS Rate Divergence Oscillator distills an entire macro narrative monetary policy versus risk sentiment into a single colourful heartbeat. It will not magically predict every pivot, yet it excels at framing market context, spotting stretches and timing regime changes. Treat it as a strategic compass rather than a tactical sniper scope, combine it with sound risk management and multi-factor confirmation, and you will possess a robust edge anchored in the world’s most influential interest-rate benchmark. Trade consciously, stay adaptive, and let the policy-price tension guide your roadmap.
Pine Script® indicator
by BackQuant
1
EMA 20/50/200 - M3EDGE Clean Mode™The M3EDGE Clean Mode™ indicator is designed to spot the cleanest, most aligned market phases. It filters out market noise and highlights only the high-probability trending zones where the odds are in your favor. How it works: • Tracks 3 key EMAs (20, 50, 200) • Confirms directional alignment across short, medium, and long-term trends • Colors optimal market phases to identify high-probability setups • Optional display of the dynamic EMA50/EMA200 zone to visualize the trend’s core Purpose: 🎯 Avoid choppy, sideways market conditions 🎯 Focus only on smooth, directional price moves 🎯 Reduce false signals and improve chart clarity Best use cases: • Ideal for scalping, day trading, and swing trading • Works on all markets: indices, commodities, forex, crypto • Perfect when combined with macro analysis and other M3EDGE™ setups 💡 Pro tip: The M3EDGE Clean Mode™ isn’t just another indicator — it’s a quality filter that keeps you out of messy conditions. When it lights up, you know the road ahead is clear.
Pine Script® indicator
by M3EDGE
Advanced Liquidity & FVG Detector With Entry/Exit SignalsThe Advanced Liquidity & FVG Detector is more than just an indicator—it's a complete trading system that brings institutional-grade market analysis to individual traders. By combining liquidity detection, fair value gap analysis, sweep/grab pattern recognition, and intelligent risk management, this indicator provides everything needed for sophisticated market analysis and high-probability trading opportunities. Whether you're a day trader, swing trader, or position trader, this indicator adapts to your style and timeframe, providing the insights needed to make informed trading decisions with confidence. The Pine Script v6 compatibility ensures future-proof performance and seamless integration with the latest TradingView features. Transform your trading experience with professional-grade market structure analysis—tradable insights delivered in real-time, right on your chart.
Pine Script® indicator
by Kikojol
Smart MTF Bias Detector v3 (Debug)Here's a breakdown of the "Smart MTF Bias Detector v3 (Debug)" indicator's five main filters: Main Trend (Multi-Timeframe Heikin Ashi) The green/red background indicates the trend from Heikin Ashi candles on the H1 timeframe (or your set timeframe). If the Heikin Ashi candle closes above its open, the background is green (indicating an upward bias). If the Heikin Ashi candle closes below its open, the background is red (indicating a downward bias). Short-Term Trend Filter (EMA50) The yellow line represents the EMA50. Buy only when the price closes above the EMA50. Sell only when the price closes below the EMA50. Abnormal Buy/Sell Pressure Detection (Volume Spike) Purple dots signify candles where the volume is greater than the SMA (Simple Moving Average) of volume over N previous candles, multiplied by a specified multiplier. This confirms there's "force" driving the price up or serious selling pressure. Momentum Filter (Stochastic RSI) Blue upward triangles and orange downward triangles indicate when %K crosses %D. It uses Oversold/Overbought targets (20/80) to avoid crosses in the middle ranges. Pivot Break (Fractal Breakout) Red "X" marks represent Fractal Highs, and green "X" marks represent Fractal Lows. Red/green up/down arrows indicate breakouts of these levels (e.g., a previous High being broken means an upward breakout, or a previous Low being broken means a downward breakout). BUY Signal Conditions A BUY signal will be generated when: The background is green (HTF Trend ↑). The Stoch RSI crosses up from below the Oversold zone (blue arrow). A Fractal Low breakout occurs (Fract UP arrow). The price is above the EMA50. There is a Volume Spike (purple dot). SELL Signal Conditions A SELL signal will be generated when: The background is red (HTF Trend ↓). The Stoch RSI crosses down from above the Overbought zone (orange arrow). A Fractal High breakout occurs (Fract DOWN arrow). The price is below the EMA50. There is a Volume Spike (purple dot).
Pine Script® indicator
by tai239
1
RED E Support & ResistanceThe “RED-E Support & Resistance” indicator is designed to assist traders in visualizing key levels of support and resistance on a chart by employing ATR (Average True Range) to create dynamic horizontal zones. This indicator automatically plots robust support and resistance bands that can help identify potential areas where price may reverse, consolidate, or react. These levels are particularly beneficial for traders who employ concepts like Smart Money analysis, as they illustrate zones where institutional trading activity might occur. How It Works: • The indicator uses ATR-based calculations to determine the placement of the support and resistance zones. This approach accounts for market volatility, making the zones adaptive to changing conditions. • The Zone Thickness parameter allows users to customize the width of the plotted zones, enhancing visibility and fitting them to their specific trading style. • The support and resistance zones extend horizontally across the chart, providing clear reference points for potential price reactions. Practical Application: • Trend Analysis: Identify areas of significant price resistance and support to understand potential turning points or trends in the market. • Risk Management: Use these zones to better inform stop-loss placements or set profit targets. • Confirmation Tool: Combine the indicator with other technical analysis tools for confirmation of potential trade entries or exits. Customization Options: • Change the colors of the support and resistance zones for better integration with different chart themes. • Adjust the ATR Length and Multiplier to fine-tune the sensitivity of the zones based on personal preferences and the characteristics of the asset being analyzed. Disclaimer: This indicator is for educational and informational purposes only. It is not intended to serve as investment advice or a recommendation to buy or sell any financial instrument. Always perform your own research and consider consulting with a financial professional before making trading decisions. Trading involves significant risk, and past performance does not guarantee future results. 3 hours ago Release Notes The “RED-E Support & Resistance” indicator is designed to assist traders in visualizing key levels of support and resistance on a chart by employing ATR (Average True Range) to create dynamic horizontal zones. This indicator automatically plots robust support and resistance bands that can help identify potential areas where price may reverse, consolidate, or react. These levels are particularly beneficial for traders who employ concepts like Smart Money analysis, as they illustrate zones where institutional trading activity might occur. How It Works: • The indicator uses ATR-based calculations to determine the placement of the support and resistance zones. This approach accounts for market volatility, making the zones adaptive to changing conditions. • The Zone Thickness parameter allows users to customize the width of the plotted zones, enhancing visibility and fitting them to their specific trading style. • The support and resistance zones extend horizontally across the chart, providing clear reference points for potential price reactions. Practical Application: • Trend Analysis: Identify areas of significant price resistance and support to understand potential turning points or trends in the market. • Risk Management: Use these zones to better inform stop-loss placements or set profit targets. • Confirmation Tool: Combine the indicator with other technical analysis tools for confirmation of potential trade entries or exits. Customization Options: • Change the colors of the support and resistance zones for better integration with different chart themes. • Adjust the ATR Length and Multiplier to fine-tune the sensitivity of the zones based on personal preferences and the characteristics of the asset being analyzed. Disclaimer: This indicator is for educational and informational purposes only. It is not intended to serve as investment advice or a recommendation to buy or sell any financial instrument. Always perform your own research and consider consulting with a financial professional before making trading decisions. Trading involves significant risk, and past performance does not guarantee future results.
Pine Script® indicator
by rogers1906
Dynamic S/R System - Pivot + ChannelDynamic S/R System - Pivot + Channel A comprehensive Support & Resistance indicator combining dual methodologies for institutional-grade price level analysis 📊 CORE FEATURES Dual Detection System • Pivot-Based Levels - Historical turning points with intelligent touch counting • Dynamic Channel S/R - Trend-aware linear regression boundaries • Smart Level Management - Auto-merges similar levels, removes weak/outdated ones Volume Integration • Multi-timeframe volume analysis using EMA oscillator and spike detection • Volume confirmation for all breakout signals to filter false moves • Real-time volume status (Normal/High/Spike) in live information panel Intelligent Touch Counting • Automatic level validation through touch frequency analysis • Strength classification with visual differentiation (colors/thickness) • Level labels showing exact touch count (S3, R5, etc.) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎨 VISUAL ELEMENTS Line System Solid Lines: Pivot-based S/R levels Dashed Lines: Dynamic channel boundaries Color Coding: • 🔵 Blue/🔴 Red: Standard support/resistance • 🟠 Orange: Strong levels (multiple touches) • 🟣 Purple: Channel S/R levels Signal Labels • "B" - Pivot S/R breakout with volume confirmation • "CB" - Channel boundary breakout • "Bull/Bear Wick" - False breakout detection (wick rejections) Information Panel Real-time analysis displays: • Total resistance/support levels detected • Closest S/R levels to current price • Volume status and position relative to levels • Current market position assessment ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✅ KEY ADVANTAGES Multi-Method Validation Combines historical pivot analysis with dynamic trend channels for comprehensive market view False Breakout Protection • Volume confirmation requirements • Wick analysis to identify failed attempts • Multiple validation criteria before signal generation Adaptive Level Management • Automatically updates as new pivots form • Removes outdated/weak levels • Maintains clean, relevant level display Institutional-Grade Analysis • Touch counting reveals institutional respect levels • Volume integration shows smart money activity • Strength classification identifies high-probability zones ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⏰ OPTIMAL USE CASES Best Timeframes • Daily - Primary recommendation for swing trading • 4-Hour - Intraday analysis and entries • Weekly - Long-term position planning Ideal Markets • Crypto pairs (especially ETH/BTC, BTC/USD) • Forex majors with good volume data • Large-cap stocks with institutional participation Trading Applications • Entry/exit planning around key S/R levels • Breakout confirmation with volume validation • Risk management using nearest S/R for stops • Trend analysis through channel dynamics ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙️ CONFIGURATION GUIDELINES Conservative Setup (Higher Confidence) Min Pivot Strength: 3-4 Volume Threshold: 25-30% Max Levels: 6-8 Aggressive Setup (More Signals) Min Pivot Strength: 2 Volume Threshold: 15-20% Max Levels: 10-12 🔔 ALERT SYSTEM Breakout Alerts • Resistance/Support breaks with volume confirmation • Channel boundary violations • Approaching strong S/R levels Advanced Notifications • Strong level approaches (within 0.5% of price) • False breakout detection • Volume spike confirmations 📈 TRADING STRATEGY GUIDE Entry Strategy 1. Wait for price to approach identified S/R level 2. Confirm with volume analysis (spike/high volume preferred) 3. Watch for wick formations indicating rejection 4. Enter on confirmed breakout with volume or bounce with rejection Risk Management • Use nearest S/R level for stop placement • Scale position size based on level strength (touch count) • Monitor volume confirmation for exit signals Market Context • Combine with higher timeframe trend analysis • Consider overall market sentiment and volatility • Use channel direction for bias confirmation Transform complex S/R analysis into actionable trading intelligence with institutional-level insights for professional trading decisions.
Pine Script® indicator
by lazy_capitalist
2
Taylor Rule (Styled by Mongoose) + Macro Action PlanMethodology: This indicator implements the standard Taylor Rule to estimate a theoretically neutral federal funds rate (FFR) based on economic conditions. Taylor Rule Formula: FFR = r* + π + 0.5(π - π*) + 0.5 × Output Gap π = current inflation rate π* = inflation target r* = natural real interest rate Output Gap = 100 × (u* - u) / u* u = actual unemployment rate u* = natural unemployment rate Visuals: Teal Line = Taylor Rule Rate Orange Line = Manual Fed Funds Rate (custom input) Color Zone Highlight Red = policy rate far below Taylor estimate (gap > +1.0) Green = policy rate far above Taylor estimate (gap < -1.0) Reference Lines: 0% (Zero Bound) 2% (Neutral Rate) 5% (Hawkish Zone) How to Use: A Taylor Rate above the actual Fed Funds Rate may imply accommodative conditions. A Taylor Rate below the actual Fed Funds Rate may imply restrictive or tight policy. The gap between the Taylor estimate and actual rate helps assess potential macro pressure on markets, yields, and risk assets. Trader Application: Helps forecast shifts in Fed stance and macro policy inflection points Use as a regime filter for positioning in equities, bonds, FX, and commodities Can support long/short macro strategies based on rate gap and inflation dynamics Inputs (Editable): Inflation rate Inflation target Neutral real rate (r*) Actual and natural unemployment rate Manual FFR value
Pine Script® indicator
by TheRealMongoose
Uptrend Strength Checklist DashboardThe Uptrend Strength Checklist Dashboard is a powerful visual tool designed to help traders quickly evaluate the strength and quality of an uptrend using a combination of 20 widely-used technical conditions. It displays a clean, color-coded dashboard directly on the chart, summarizing key trend indicators in real-time. 🧠 What It Does: This script checks 20 bullish criteria across different categories—momentum, trend alignment, volume, and price action. Each condition is scored individually and shown in a dashboard with checkmarks ✅ (condition met) or ❌ (condition not met). The total score out of 20 is then used to interpret the trend strength into 4 levels: 🔥 Very Strong Uptrend (18–20 points) 👍 Strong Uptrend (14–17 points) 🤔 Possible Uptrend Forming (8–13 points) 📉 Weak or No Uptrend (0–7 points) 📋 Checklist Criteria Includes: Price above short/medium/long EMAs (7, 20, 50, 200) EMAs stacked in bullish order MACD Line & Histogram RSI > 50 and ROC > 0 ADX > 25 and +DI > -DI OBV trend and Bullish Volume Dominance Price above Ichimoku Cloud, Tenkan > Kijun Parabolic SAR bullish signal Williams Alligator confirmation Price > Bollinger Band Midline Price > Previous Week’s High 🌐 Multilingual Support: Supports both English and Arabic (العربية) language options, with all labels, tooltips, and trend messages dynamically translated based on user selection. 🎨 Customization Options: Choose table position and size on chart Customize all trend and table colors Adjust all indicator input lengths to suit your strategy ✅ Perfect For: Trend-following traders Swing and position traders Technical analysts looking for a structured signal confirmation tool 🔔 Note: This indicator does not generate buy/sell signals on its own but provides a visual checklist to help confirm the strength of an uptrend. Use it in conjunction with your entry/exit strategy and risk management rules.
Pine Script® indicator
by yastech137
2
NativeLenSA CISD w/1st 5m FVG5m CISD + FVG Indicator which works best on 5m TimeFrame, with the concept of 5m Liquidity sweeps of the previous highs/lows and the next candle closing below/above the opening price of candle that swept the highs/lows. A line marking +CISD or -CISD will show as soon as the CISD is created, and a first 5m Fair Value Gap will also be displayed. This is advantageous for an extra confluence and re-entry. The indicator also provides the trader with: i. The flexibility of allowing to only show Bearish, Bullish or both Bearish and Bullish CISD + FVG, ii. Showing only London Session, New York Session, or both London and New York Sessions' CISD & FVG, iii. Option of hiding/showing 5m CISD+FVG on time frames greater than 5m, iv. Adjustable: (a) Look back bars (max=300), (b) CISD line length, (c) FVG line length, v. Customizable Bearish and Bullish CISD line colors. I hope you find value in this indicator, and convenient for time when trading, no CISD markups needed
Pine Script® indicator
by NativeLenSA
1
Silver BulletSilver Bullet is a trading tool built for finding cleaner, higher-probability setups. It focuses on key windows of market movement and adds helpful tools like daily range levels and candlestick patterns. Whether you’re trading breakouts or reversals, Silver Bullet gives you a clearer view of the market and more confidence in your setups. ⸻ 🔹 Trading Setup #1: Macro Time The Macro Time setting offers two modes: Macro Bullet and Silver Bullet. Both help traders focus on specific times when the market tends to deliver clean moves.  • Macro Bullet is based on the high and low of a full macro session. It automatically detects the session’s range and bias, then offers optimal entries for either Long or Short setups. Once the session resolves, it provides Fibonacci-based levels for entry, target, and stop loss.  • Silver Bullet is based on ICT concepts and focuses on the hourly range for London, NY AM, and NY PM sessions. It’s designed for quick time blocks and highlights key levels as the session unfolds. To use this setup, set Macro Time to “ICT Sessions” and select your preferred mode under Bullet Mode. ⸻ 🔹 Trading Setup #2: Daily Range Enable Daily Range to draw Fibonacci levels based on either the previous day’s candle or the current day’s developing range. These levels help you identify potential support, resistance, and midpoint zones throughout the day. With the current day’s range, levels automatically update in real time as new highs or lows form — keeping your chart aligned with evolving price action. ⸻ 🔹 Trading Setup #3: Candlestick Patterns Turn on Candlestick Patterns to automatically highlight clean reversal signals such as Hammers, Hanging Men, Shooting Stars, and Tweezers. Each pattern is detected using specific criteria and trend filters to reduce noise and improve reliability. They work especially well as confirmation signals around key levels or session zones. Silver Bullet brings structure, clarity, and precision to your intraday trading. By combining time-based bias, price action levels, and pattern recognition, it helps you trade with purpose — not guesswork. Use one setup or combine all three for a complete view of the market, tailored to your style and session of choice.
Pine Script® indicator
by MacroBullet
Elliott Wave Auto Detector (Simplified)How to Use the Detector Identify Structure: Look for sequences like 1-2-1-2... These may show a forming or ongoing Elliott wave pattern. Validate Trend: Multiple red 2’s at lower highs suggests a bearish trend; the reverse with blue 1’s at higher lows is bullish. Trading Zones: Consider buying near clusters of blue 1’s (support zones). Consider selling or shorting near clusters of red 2’s (resistance zones). Look for Breakouts: If price breaks out of the descending channel, trend may reverse or accelerate.
Pine Script® indicator
by STEEL-CITY-CREATORS
1
Morning Break OutThis indicator visualizes a classic morning breakout setup for the DAX and other European markets. The first hour often sets the tone for the trading day — this tool helps you identify that visually and react accordingly. 🔍 How It Works: Box Range Calculation: The high and low between 09:00 and 10:00 define the top and bottom of the box. Color Logic: Green: Price breaks above the box after 10:00 → bullish breakout Red: Price breaks below the box after 10:00 → bearish breakout Gray: No breakout → neutral phase 📈 Use Cases: Identify breakout setups visually Ideal for intraday traders and momentum strategies Combine with volume or trend filters ⚙️ Notes: Recommended for timeframes 1-minute and above Uses the chart’s local timezone (e.g. CET/CEST for XETRA/DAX) Works on all instruments with data before 09:00 — perfect for DAX, EuroStoxx, futures, FX, CFDs, etc.
Pine Script® indicator
by nick897
MERV: Market Entropy & Rhythm Visualizer [BullByte]The MERV (Market Entropy & Rhythm Visualizer) indicator analyzes market conditions by measuring entropy (randomness vs. trend), tradeability (volatility/momentum), and cyclical rhythm. It provides traders with an easy-to-read dashboard and oscillator to understand when markets are structured or choppy, and when trading conditions are optimal. Purpose of the Indicator MERV’s goal is to help traders identify different market regimes. It quantifies how structured or random recent price action is (entropy), how strong and volatile the movement is (tradeability), and whether a repeating cycle exists. By visualizing these together, MERV highlights trending vs. choppy environments and flags when conditions are favorable for entering trades. For example, a low entropy value means prices are following a clear trend line, whereas high entropy indicates a lot of noise or sideways action. The indicator’s combination of measures is original: it fuses statistical trend-fit (entropy), volatility trends (ATR and slope), and cycle analysis to give a comprehensive view of market behavior. Why a Trader Should Use It Traders often need to know when a market trend is reliable vs. when it is just noise. MERV helps in several ways: it shows when the market has a strong direction (low entropy, high tradeability) and when it’s ranging (high entropy). This can prevent entering trend-following strategies during choppy periods, or help catch breakouts early. The “Optimal Regime” marker (a star) highlights moments when entropy is very low and tradeability is very high, typically the best conditions for trend trades. By using MERV, a trader gains an empirical “go/no-go” signal based on price history, rather than guessing from price alone. It’s also adaptable: you can apply it to stocks, forex, crypto, etc., on any timeframe. For example, during a bullish phase of a stock, MERV will turn green (Trending Mode) and often show a star, signaling good follow-through. If the market later grinds sideways, MERV will shift to magenta (Choppy Mode), warning you that trend-following is now risky. Why These Components Were Chosen Market Entropy (via R²) : This measures how well recent prices fit a straight line. We compute a linear regression on the last len_entropy bars and calculate R². Entropy = 1 - R², so entropy is low when prices follow a trend (R² near 1) and high when price action is erratic (R² near 0). This single number captures trend strength vs noise. Tradeability (ATR + Slope) : We combine two familiar measures: the Average True Range (ATR) (normalized by price) and the absolute slope of the regression line (scaled by ATR). Together they reflect how active and directional the market is. A high ATR or strong slope means big moves, making a trend more “tradeable.” We take a simple average of the normalized ATR and slope to get tradeability_raw. Then we convert it to a percentile rank over the lookback window so it’s stable between 0 and 1. Percentile Ranks : To make entropy and tradeability values easy to interpret, we convert each to a 0–100 rank based on the past len_entropy periods. This turns raw metrics into a consistent scale. (For example, an entropy rank of 90 means current entropy is higher than 90% of recent values.) We then divide by 100 to plot them on a 0–1 scale. Market Mode (Regime) : Based on those ranks, MERV classifies the market: Trending (Green) : Low entropy rank (<40%) and high tradeability rank (>60%). This means the market is structurally trending with high activity. Choppy (Magenta) : High entropy rank (>60%) and low tradeability rank (<40%). This is a mostly random, low-momentum market. Neutral (Cyan) : All other cases. This covers mixed regimes not strongly trending or choppy. The mode is shown as a colored bar at the bottom: green for trending, magenta for choppy, cyan for neutral. Optimal Regime Signal : Separately, we mark an “optimal” condition when entropy_norm < 0.3 and tradeability > 0.7 (both normalized 0–1). When this is true, a ★ star appears on the bottom line. This star is colored white when truly optimal, gold when only tradeability is high (but entropy not quite low enough), and black when neither condition holds. This gives a quick visual cue for very favorable conditions. What Makes MERV Stand Out Holistic View : Unlike a single-oscillator, MERV combines trend, volatility, and cycle analysis in one tool. This multi-faceted approach is unique. Visual Dashboard : The fixed on-chart dashboard (shown at your chosen corner) summarizes all metrics in bar/gauge form. Even a non-technical user can glance at it: more “█” blocks = a higher value, colors match the plots. This is more intuitive than raw numbers. Adaptive Thresholds : Using percentile ranks means MERV auto-adjusts to each market’s character, rather than requiring fixed thresholds. Cycle Insight : The rhythm plot adds information rarely found in indicators – it shows if there’s a repeating cycle (and its period in bars) and how strong it is. This can hint at natural bounce or reversal intervals. Modern Look : The neon color scheme and glow effects make the lines easy to distinguish (blue/pink for entropy, green/orange for tradeability, etc.) and the filled area between them highlights when one dominates the other. Recommended Timeframes MERV can be applied to any timeframe, but it will be more reliable on higher timeframes. The default len_entropy = 50 and len_rhythm = 30 mean we use 30–50 bars of history, so on a daily chart that’s ~2–3 months of data; on a 1-hour chart it’s about 2–3 days. In practice: Swing/Position traders might prefer Daily or 4H charts, where the calculations smooth out small noise. Entropy and cycles are more meaningful on longer trends. Day trader s could use 15m or 1H charts if they adjust the inputs (e.g. shorter windows). This provides more sensitivity to intraday cycles. Scalpers might find MERV too “slow” unless input lengths are set very low. In summary, the indicator works anywhere, but the defaults are tuned for capturing medium-term trends. Users can adjust len_entropy and len_rhythm to match their chart’s volatility. The dashboard position can also be moved (top-left, bottom-right, etc.) so it doesn’t cover important chart areas. How the Scoring/Logic Works (Step-by-Step) Compute Entropy : A linear regression line is fit to the last len_entropy closes. We compute R² (goodness of fit). Entropy = 1 – R². So a strong straight-line trend gives low entropy; a flat/noisy set of points gives high entropy. Compute Tradeability : We get ATR over len_entropy bars, normalize it by price (so it’s a fraction of price). We also calculate the regression slope (difference between the predicted close and last close). We scale |slope| by ATR to get a dimensionless measure. We average these (ATR% and slope%) to get tradeability_raw. This represents how big and directional price moves are. Convert to Percentiles : Each new entropy and tradeability value is inserted into a rolling array of the last 50 values. We then compute the percentile rank of the current value in that array (0–100%) using a simple loop. This tells us where the current bar stands relative to history. We then divide by 100 to plot on . Determine Modes and Signal : Based on these normalized metrics: if entropy < 0.4 and tradeability > 0.6 (40% and 60% thresholds), we set mode = Trending (1). If entropy > 0.6 and tradeability < 0.4, mode = Choppy (-1). Otherwise mode = Neutral (0). Separately, if entropy_norm < 0.3 and tradeability > 0.7, we set an optimal flag. These conditions trigger the colored mode bars and the star line. Rhythm Detection : Every bar, if we have enough data, we take the last len_rhythm closes and compute the mean and standard deviation. Then for lags from 5 up to len_rhythm, we calculate a normalized autocorrelation coefficient. We track the lag that gives the maximum correlation (best match). This “best lag” divided by len_rhythm is plotted (a value between 0 and 1). Its color changes with the correlation strength. We also smooth the best correlation value over 5 bars to plot as “Cycle Strength” (also 0 to 1). This shows if there is a consistent cycle length in recent price action. Heatmap (Optional) : The background color behind the oscillator panel can change with entropy. If “Neon Rainbow” style is on, low entropy is blue and high entropy is pink (via a custom color function), otherwise a classic green-to-red gradient can be used. This visually reinforces the entropy value. Volume Regime (Dashboard Only) : We compute vol_norm = volume / sma(volume, len_entropy). If this is above 1.5, it’s considered high volume (neon orange); below 0.7 is low (blue); otherwise normal (green). The dashboard shows this as a bar gauge and percentage. This is for context only. Oscillator Plot – How to Read It The main panel (oscillator) has multiple colored lines on a 0–1 vertical scale, with horizontal markers at 0.2 (Low), 0.5 (Mid), and 0.8 (High). Here’s each element: Entropy Line (Blue→Pink) : This line (and its glow) shows normalized entropy (0 = very low, 1 = very high). It is blue/green when entropy is low (strong trend) and pink/purple when entropy is high (choppy). A value near 0.0 (below 0.2 line) indicates a very well-defined trend. A value near 1.0 (above 0.8 line) means the market is very random. Watch for it dipping near 0: that suggests a strong trend has formed. Tradeability Line (Green→Yellow) : This represents normalized tradeability. It is colored bright green when tradeability is low, transitioning to yellow as tradeability increases. Higher values (approaching 1) mean big moves and strong slopes. Typically in a market rally or crash, this line will rise. A crossing above ~0.7 often coincides with good trend strength. Filled Area (Orange Shade) : The orange-ish fill between the entropy and tradeability lines highlights when one dominates the other. If the area is large, the two metrics diverge; if small, they are similar. This is mostly aesthetic but can catch the eye when the lines cross over or remain close. Rhythm (Cycle) Line : This is plotted as (best_lag / len_rhythm). It indicates the relative period of the strongest cycle. For example, a value of 0.5 means the strongest cycle was about half the window length. The line’s color (green, orange, or pink) reflects how strong that cycle is (green = strong). If no clear cycle is found, this line may be flat or near zero. Cycle Strength Line : Plotted on the same scale, this shows the autocorrelation strength (0–1). A high value (e.g. above 0.7, shown in green) means the cycle is very pronounced. Low values (pink) mean any cycle is weak and unreliable. Mode Bars (Bottom) : Below the main oscillator, thick colored bars appear: a green bar means Trending Mode, magenta means Choppy Mode, and cyan means Neutral. These bars all have a fixed height (–0.1) and make it very easy to see the current regime. Optimal Regime Line (Bottom) : Just below the mode bars is a thick horizontal line at –0.18. Its color indicates regime quality: White (★) means “Optimal Regime” (very low entropy and high tradeability). Gold (★) means not quite optimal (high tradeability but entropy not low enough). Black means neither condition. This star line quickly tells you when conditions are ideal (white star) or simply good (gold star). Horizontal Guides : The dotted lines at 0.2 (Low), 0.5 (Mid), and 0.8 (High) serve as reference lines. For example, an entropy or tradeability reading above 0.8 is “High,” and below 0.2 is “Low,” as labeled on the chart. These help you gauge values at a glance. Dashboard (Fixed Corner Panel) MERV also includes a compact table (dashboard) that can be positioned in any corner. It summarizes key values each bar. Here is how to read its rows: Entropy : Shows a bar of blocks (█ and ░). More █ blocks = higher entropy. It also gives a percentage (rounded). A full bar (10 blocks) with a high % means very chaotic market. The text is colored similarly (blue-green for low, pink for high). Rhythm : Shows the best cycle period in bars (e.g. “15 bars”). If no calculation yet, it shows “n/a.” The text color matches the rhythm line. Cycle Strength : Gives the cycle correlation as a percentage (smoothed, as shown on chart). Higher % (green) means a strong cycle. Tradeability : Displays a 10-block gauge for tradeability. More blocks = more tradeable market. It also shows “gauge” text colored green→yellow accordingly. Market Mode : Simply shows “Trending”, “Choppy”, or “Neutral” (cyan text) to match the mode bar color. Volume Regime : Similar to tradeability, shows blocks for current volume vs. average. Above-average volume gives orange blocks, below-average gives blue blocks. A % value indicates current volume relative to average. This row helps see if volume is abnormally high or low. Optimal Status (Large Row) : In bold, either “★ Optimal Regime” (white text) if the star condition is met, “★ High Tradeability” (gold text) if tradeability alone is high, or “— Not Optimal” (gray text) otherwise. This large row catches your eye when conditions are ripe. In short, the dashboard turns the numeric state into an easy read: filled bars, colors, and text let you see current conditions without reading the plot. For instance, five blue blocks under Entropy and “25%” tells you entropy is low (good), and a row showing “Trending” in green confirms a trend state. Real-Life Example Example : Consider a daily chart of a trending stock (e.g. “AAPL, 1D”). During a strong uptrend, recent prices fit a clear upward line, so Entropy would be low (blue line near bottom, perhaps below the 0.2 line). Volatility and slope are high, so Tradeability is high (green-yellow line near top). In the dashboard, Entropy might show only 1–2 blocks (e.g. 10%) and Tradeability nearly full (e.g. 90%). The Market Mode bar turns green (Trending), and you might see a white ★ on the optimal line if conditions are very good. The Volume row might light orange if volume is above average during the rally. In contrast, imagine the same stock later in a tight range: Entropy will rise (pink line up, more blocks in dashboard), Tradeability falls (fewer blocks), and the Mode bar turns magenta (Choppy). No star appears in that case. Consolidated Use Case : Suppose on XYZ stock the dashboard reads “Entropy: █░░░░░░░░ 20%”, “Tradeability: ██████████ 80%”, Mode = Trending (green), and “★ Optimal Regime.” This tells the trader that the market is in a strong, low-noise trend, and it might be a good time to follow the trend (with appropriate risk controls). If instead it reads “Entropy: ████████░░ 80%”, “Tradeability: ███▒▒▒▒▒▒ 30%”, Mode = Choppy (magenta), the trader knows the market is random and low-momentum—likely best to sit out until conditions improve. Example: How It Looks in Action Screenshot 1: Trending Market with High Tradeability (SOLUSD, 30m) What it means: The market is in a clear, strong trend with excellent conditions for trading. Both trend-following and active strategies are favored, supported by high tradeability and strong volume. Screenshot 2: Optimal Regime, Strong Trend (ETHUSD, 1h) What it means: This is an ideal environment for trend trading. The market is highly organized, tradeability is excellent, and volume supports the move. This is when the indicator signals the highest probability for success. Screenshot 3: Choppy Market with High Volume (BTC Perpetual, 5m) What it means: The market is highly random and choppy, despite a surge in volume. This is a high-risk, low-reward environment, avoid trend strategies, and be cautious even with mean-reversion or scalping. Settings and Inputs The script is fully open-source; here are key inputs the user can adjust: Entropy Window (len_entropy) : Number of bars used for entropy and tradeability (default 50). Larger = smoother, more lag; smaller = more sensitivity. Rhythm Window (len_rhythm ): Bars used for cycle detection (default 30). This limits the longest cycle we detect. Dashboard Position : Choose any corner (Top Right default) so it doesn’t cover chart action. Show Heatmap : Toggles the entropy background coloring on/off. Heatmap Style : “Neon Rainbow” (colorful) or “Classic” (green→red). Show Mode Bar : Turn the bottom mode bar on/off. Show Dashboard : Turn the fixed table panel on/off. Each setting has a tooltip explaining its effect. In the description we will mention typical settings (e.g. default window sizes) and that the user can move the dashboard corner as desired. Oscillator Interpretation (Recap) Lines : Blue/Pink = Entropy (low=trend, high=chop); Green/Yellow = Tradeability (low=quiet, high=volatile). Fill : Orange tinted area between them (for visual emphasis). Bars : Green=Trending, Magenta=Choppy, Cyan=Neutral (at bottom). Star Line : White star = ideal conditions, Gold = good but not ideal. Horizontal Guides : 0.2 and 0.8 lines mark low/high thresholds for each metric. Using the chart, a coder or trader can see exactly what each output represents and make decisions accordingly. Disclaimer This indicator is provided as-is for educational and analytical purposes only. It does not guarantee any particular trading outcome. Past market patterns may not repeat in the future. Users should apply their own judgment and risk management; do not rely solely on this tool for trading decisions. Remember, TradingView scripts are tools for market analysis, not personalized financial advice. We encourage users to test and combine MERV with other analysis and to trade responsibly. -BullByte
Pine Script® indicator
by BullByte
6
BUY in HASH RibbonsHash Ribbons Indicator (BUY Signal) A TradingView Pine Script v6 implementation for identifying Bitcoin miner capitulation (“Springs”) and recovery phases based on hash rate data. It marks potential low-risk buying opportunities by tracking short- and long-term moving averages of the network hash rate. ⸻ Key Features • Hash Rate SMAs • Short-term SMA (default: 30 days) • Long-term SMA (default: 60 days) • Phase Markers • Gray circle: Short SMA crosses below long SMA (start of capitulation) • White circles: Ongoing capitulation, with brighter white when the short SMA turns upward • Yellow circle: Short SMA crosses back above long SMA (end of capitulation) • Orange circle: Buy signal once hash rate recovery aligns with bullish price momentum (10-day price SMA crosses above 20-day price SMA) • Display Modes • Ribbons: Plots the two SMAs as colored bands—red for capitulation, green for recovery • Oscillator: Shows the percentage difference between SMAs as a histogram (red for negative, blue for positive) • Optional Overlays • Bitcoin halving dates (2012, 2016, 2020, 2024) with dashed lines and labels • Raw hash rate data in EH/s • Alerts • Configurable alerts for capitulation start, recovery, and buy signals ⸻ How It Works 1. Data Source: Fetches daily hash rate values from a selected provider (e.g., IntoTheBlock, Quandl). 2. Capitulation Detection: When the 30-day SMA falls below the 60-day SMA, miners are likely capitulating. 3. Recovery Identification: A rising 30-day SMA during capitulation signals miner recovery. 4. Buy Signal: Confirmed when the hash rate recovery coincides with a bullish shift in price momentum (10-day price SMA > 20-day price SMA). ⸻ Inputs Hash Rate Short SMA: 30 days Hash Rate Long SMA: 60 days Plot Signals: On Plot Halvings: Off Plot Raw Hash Rate: Off ⸻ Considerations • Timeframe: Best applied on daily charts to capture meaningful miner behavior. • Data Reliability: Ensure the chosen hash rate source provides consistent, gap-free data. • Risk Management: Use alongside other technical indicators (e.g., RSI, MACD) and fundamental analysis. • Backtesting: Evaluate performance over different market cycles before live deployment.
Pine Script® indicator
by Tin2100
STOCK SCHOOL | SWING TRACKER Swing Tracker is a powerful tool that automatically identifies Higher Highs (HH), Higher Lows (HL), Lower Highs (LH), and Lower Lows (LL) directly on the chart, helping traders clearly understand market structure and trend direction. Designed for price action traders, it works seamlessly across all timeframes and instruments, offering clean visual labels for swing points to spot trend continuations or potential reversals. Whether you're following the trend or looking for structure shifts, Swing Tracker keeps you aligned with price action for smarter, more confident trading decisions.
Pine Script® indicator
by stockschoolindia
1
Williams Alligator with Background ColoringThe Benefits of the Williams Alligator – Without the “Spaghetti” on Your Chart If you're one of those traders who prefer a clean, well-structured chart but don't want to miss out on the advantages of the Williams Alligator, this script is the perfect solution. It includes all the features of the original TradingView script plus a background color feature based on your custom parameters: Green when all candles are above the Alligator lines Red when all candles are below all lines Gray for everything in between Feel free to customize the colors and transparency to your liking. Happy Trading!
Pine Script® indicator
by trdvak
Koala Trend HackWhat this indicator is A minimal, “ tweet‑faithful ” trend read with just two visuals: 1. H4 EMA200 (white): the macro/regime line pulled onto any timeframe. 2. Trend Line (colored): the average of EMA‑8 and EMA‑21; its color shows the current state. How it works (state → color) Priority is macro first, then short‑term momentum—so it’s simple but still reactive above H4: Below H4 200 → Red (Be Bearish). Above H4 200 with wick into it → Yellow (Be Bullish & Pray / Watch the retest). Above H4 200 and above both 8 & 21 → Green (Be Bullish). Above H4 200 but below both 8 & 21 → Orange (Be Cautious). If none of the above applies, it falls back to the 8/21 cluster (above both = green, below both = orange) or stays Yellow (Neutral/Watch). How it aligns with the tweet’s 5 rules 1. Reclaim EMAs = Long → close > 8 & 21 → Green. 2. Close below EMAs = Be cautious* → close < 8 & 21 → Orange. 3. Retest of H4 EMA200 = Be bullish and pray → close > H4 and low ≤ H4 → Yellow. 4. Lose H4 EMA200 = Be bearish* → close < H4 → Red. 5. Reclaim H4 EMA200 = Be bullish again* → back above H4 (and ideally > 8/21) → Green. How to use Green favors longs; Orange means lighten up or wait; Yellow says “watch the level” after a retest; Red warns against longs until H4 200 is reclaimed. Notes: The H4 EMA200 is a higher‑timeframe value fetched with request.security; on sub‑H4 charts it updates during the current 4‑hour candle (responsive but can shift slightly until that candle closes). EMAs 8 & 21 are used internally to color the line; they’re not plotted, keeping the chart clean. What would make this better? Modify it and show me what you built!
Pine Script® indicator
by ratherbhiking
Key Session LevelsKey Session Levels - Indicator Guide Created by: MecarderoAurum Why This Indicator Exists: An Overview The "Key Session Levels" indicator is a comprehensive tool for day traders that automatically plots the most critical price levels from the current premarket and the previous two full trading days. These levels are watched by countless traders and often act as significant areas of support and resistance. This indicator provides a clear, objective map of these key zones, helping traders anticipate potential turning points, identify areas of confluence, and make more informed trading decisions without having to manually draw and manage these lines every day. Features & How to Use Them This indicator plots several types of important historical levels on your chart. Each one is fully customizable. 1. Premarket Levels (PMH / PML) What they are: The highest (PMH) and lowest (PML) prices reached during the current day's premarket session (04:00 - 09:30 ET). Why they matter: The premarket high and low are the first significant levels established for the trading day. They often act as initial support or resistance once the market opens. How to use them: In the settings under "Premarket Levels," you can toggle the visibility of the PMH and PML, and customize their color, line style, and width. 2. Prior Day Levels (PDH / PDL / PDM / PDP) What they are: The key price points from the previous full trading day. PDH: Prior Day High PDL: Prior Day Low PDM: Prior Day Midpoint (the exact middle of the PDH and PDL) PDP: Prior Day Pivot (a classic pivot point calculation) Why they matter: These are often the most important levels for the current trading day. The market frequently tests the previous day's high and low. How to use them: Under the "Prior Day" settings, you can enable or disable each of these four levels and customize their appearance. 3. 2-Day Prior Levels (PDH2 / PDL2 / etc.) What they are: The same set of key levels (High, Low, Mid, Pivot) from two trading days ago. Why they matter: These levels can still be highly relevant, especially if the market is trading within a multi-day range or returning to test a significant prior level. How to use them: Under the "2-Day Prior" settings, you can customize the visibility and style of these levels. They are styled with more transparency by default to distinguish them from the more recent prior day's levels. 4. General Settings Days of History: This setting allows you to control how many past days of historical lines are kept on your chart. This is excellent for back-testing strategies and seeing how price has reacted to these levels in the past. Label Settings: You can customize the color and size of the on-chart labels (e.g., "PDH," "PML") for better visibility. Sample Strategy: The Key Level Rejection This strategy focuses on using the indicator's levels to identify potential reversals at key areas of support or resistance. Identify a Key Level: Watch as the price approaches a significant level plotted by the indicator, such as the Prior Day High (PDH) or the Premarket Low (PML). Look for Rejection: Do not trade simply because the price touches the level. Wait for a price action signal that confirms the level is holding. This could be a bearish engulfing candle or a shooting star pattern at a resistance level like PDH, or a bullish hammer or morning star pattern at a support level like PML. Entry: Once you see a clear rejection candle, enter a trade in the direction of the rejection. For a bearish rejection at the PDH, you would enter a short position. Stop-Loss: A logical place for a stop-loss is just above the high of the rejection candle (for a short trade) or just below the low of the rejection candle (for a long trade). This defines your risk clearly. Profit Target: Your first profit target could be the next key level plotted by the indicator. For example, if you shorted a rejection at the PDH, your first target might be the Premarket High (PMH) or the day's opening price.
Pine Script® indicator
by MercaderoAurum
✅ VMA Avg ATR + Days to Targets 🎯1) The trend filter: LazyBear VMA You implement the well‑known “LazyBear” Variable Moving Average (VMA) from price directional movement (pdm/mdm). Internally you: Smooth positive/negative one‑bar moves (pdmS, mdmS), Turn them into relative strengths (pdiS, mdiS), Measure their difference/total (iS), and Normalize that over a rolling window to get a scaling factor vI. The VMA itself is then an adaptive EMA: vma := (1 - k*vI) * vma + (k*vI) * close, where k = 1/vmaLen. When vI is larger, VMA hugs price more; when smaller, it smooths more. Coloring: Green when vma > vma (rising), Red when vma < vma (falling), White when flat. Candles are recolored to match. Why this matters: The VMA color is your trend regime; everything else in the script keys off changes in this color. 2) What counts as a “valid” new trend? A new trend is valid only when the previous bar was white and the current bar turns green or red: validTrendStart := vmaColor != color.white and vmaColor == color.white. When that happens, you start a trend segment: Save entry price (startPrice = close) and baseline ATR (startATR = ATR(atrLen)). Reset “extreme” trackers: extremeHigh = high, extremeLow = low. Timestamp the start (trendStartTime = time). Effect: You only study / trade transitions out of a flat VMA into a slope. This helps avoid chop and reduces false starts. 3) While the trend is active On each new bar without a color change: If green trend: update extremeHigh = max(extremeHigh, high). If red trend: update extremeLow = min(extremeLow, low). This tracks the best excursion from the entry during that single trend leg. 4) When the VMA color changes (trend ends) When vmaColor flips (green→red or red→green), you close the prior segment only if it was a valid trend (started after white). Then you: Compute how far price traveled in ATR units from the start: Uptrend ended: (extremeHigh - startPrice) / startATR Downtrend ended: (startPrice - extremeLow) / startATR Add that result to a running sum and count for the direction: totalUp / countUp, totalDown / countDown. Target checks for the ended trend (no look‑ahead): T1 uses the previous average ATR move before the just‑ended trend (prevAvgUp/prevAvgDown). Up: t1Up = startPrice + prevAvgUp * startATR Down: t1Down = startPrice - prevAvgDown * startATR T2 is a fixed 6× ATR move from the start (up or down). You increment hit counters and also accumulate time‑to‑hit (ms from trendStartTime) for any target that got reached during that ended leg. If T1 wasn’t reached, it counts as a miss. Immediately initialize the next potential trend segment with the current bar’s startPrice/startATR/extremes and set validTrendStart according to the “white → color” rule. Important detail: Using prevAvgUp/Down to evaluate T1 for the just‑completed trend avoids look‑ahead bias. The current trend’s performance isn’t used to set its own T1. 5) Running statistics & targets (for the current live trend) After closing/adding to totals: avgUp = totalUp / countUp and avgDown = totalDown / countDown are the historical average ATR move per valid trend for each direction. Current plotted targets (only visible while a valid trend is active and in that direction): T1 Up: startPrice + avgUp * startATR T2 Up: startPrice + 6 * startATR T1 Down: startPrice - avgDown * startATR T2 Down: startPrice - 6 * startATR The entry line is also plotted at startPrice when a valid trend is live. If there’s no history yet (e.g., first trend), avgUp/avgDown are na, so T1 is na until at least one valid trend has closed. T2 still shows (6× ATR). 6) Win rate & time metrics Win % (per direction): winUp = hitUpT1 / (hitUpT1 + missUp) and similarly for down. (This is strictly based on T1 hits vs misses; T2 hits don’t affect Win% directly.) Average days to hit T1/T2: The script stores milliseconds from trend start to each target hit, then reports the average in days separately for Up/Down and for T1/T2. 7) The dashboard table (bottom‑right) It shows, side‑by‑side for Up/Down: Avg ATR: historical average ATR move per completed valid trend. 🎯 Target 1 / Target 2: the current trend’s price levels (T1 = avgATR×ATR; T2 = 6×ATR). ✅ Win %: T1 hit rate so far. ⏱ Days to T1/T2: average days (from valid trend start) for the targets that were reached. 8) Alerts “New Trend Detected” when a valid trend starts (white → green/red). Target hits for the active trend: Uptrend: separate alerts for T1 and T2 (high >= target). Downtrend: separate alerts for T1 and T2 (low <= target). 9) Inputs & defaults vmaLen = 17: governs how adaptive/smooth the VMA is (larger = smoother, fewer trend flips). atrLen = 14: ATR baseline for sizing targets and normalizing moves. 10) Practical read of the plots When you see white → green: that bar is your valid entry (trend start). An Entry Line appears at the start price. Target lines appear only for the active direction. T1 scales with your historical average ATR move; T2 is a fixed stretch (6× ATR). The table updates as more trends complete, refining: The average ATR reach (which resets your T1 sizing), The win rate to T1, and The average days it typically takes to hit T1/T2. Subtle points / edge cases No look‑ahead: T1 for a finished trend is checked against the prior average (not including the trend itself). First trends: Until at least one valid trend completes, T1 is na (no history). T2 still shows. Only “valid” trends are counted: Segments must start after a white bar; flips that happen color→color without a white in between don’t start a new valid trend. Time math: Uses bar timestamps in ms, converted to days; results reflect the chart’s timeframe/market session. TL;DR The VMA color defines the regime; entries only trigger when a flat (white) VMA turns green/red. Each trend’s max excursion from entry is recorded in ATR units. T1 for current trends = (historical average ATR move) × current ATR from entry; T2 = 6× ATR. The table shows your evolving edge (avg ATR reach, T1 win%, and days to targets), and alerts fire on new trends and target hits. If you want, I can add optional features like: per‑ticker persistence of stats, excluding very short trends, or making T2 a user input instead of a fixed 6× ATR.
Pine Script® indicator
by adonilopez