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Bitcoin & Ethereum Profitable Crypto Investor – FREE EditionBitcoin & Ethereum Profitable Crypto Investor – FREE Edition by RustyTradingScripts This is the free, simplified edition of my long-term crypto trend-following strategy designed for Bitcoin, Ethereum, and other major assets. It provides an accessible introduction to the core concepts behind the full version while remaining easy to use, transparent, and beginner-friendly. This FREE edition focuses on a single technical component: a 102-period Simple Moving Average trend model. When price moves above the SMA, the script considers it a potential long trend environment. When the slope begins to turn down, the strategy exits the position. This creates a straightforward, rules-based framework for identifying trend shifts without emotional or discretionary decision-making. The goal of this simplified version is to help users understand how a structured trend approach behaves during different market conditions. It demonstrates how using a slow, objective indicator can reduce noise and provide clearer long-term directional context on higher timeframes such as the 10-hour BTC chart shown in the backtest example. What This FREE Version Includes - Trend-based entries using a 102-period SMA - Automatic exits when the SMA slope turns down - Clean visual plot of the moving average - No repainting — signals are based on confirmed bar data - Works on BTC, ETH, and other major crypto assets - User-adjustable SMA length for customization What’s Not Included in This Version: This edition intentionally focuses on the essential trend logic only. It does NOT include the following components found in the full investor strategy: - Linear regression smoothing - Seasonal filters - Price-extension filtering - Volume-based protection - Partial stop-loss and partial take-profit systems - Cooldown logic after profitable trades - RSI-based extended exits - Multi-layered trade management modules The purpose of this free version is to provide a clear, functional introduction to the underlying trend concept without the advanced filters and risk-management features that are part of the complete system. How to Use It Apply the script to your preferred asset and timeframe (commonly higher timeframes such as 4H, 8H, 10H, 12H, or 1D). The script will enter long positions when the market is trading above the SMA and exit when the slope of the average begins to point downward. Users may adjust the SMA length to match their preferred level of responsiveness. Important Notes This script is for educational and analytical purposes. Historical results are not guarantees of future performance. Always practice proper risk management and perform your own testing. This script does not repaint. This FREE version is meant as a helpful starting point for those exploring long-term crypto trend strategies. If you find it useful and wish to explore more advanced tools, feel free to reach out for additional information.
Pine Script® strategy
by RustyTradingScripts
ORB w/ FVG Retest and Engulfing v001Opening Range Breakout with FVG Retest and Engulfing Indicator v001 Visual indicator implementing the "First Candle Rule" - shows entry signals for opening range breakouts with Fair Value Gap confirmation. HOW IT WORKS: 1. Identifies first 5-minute candle at exchange open and marks high/low as key levels 2. Displays opening range lines (green high, red low) 3. Shows Fair Value Gap boxes when price breaks through levels 4. Displays entry labels when FVG retest and engulfing confirmation occur FEATURES: ✓ Exchange-specific opening times (NYSE, NASDAQ, AMEX, TSX, LSE, ASX, Custom) ✓ Automatic opening range calculation ✓ FVG detection with visual boxes ✓ Entry signal labels at confirmation points ✓ Customizable FVG display options ✓ Toggle entry label visibility Best used on 1-minute chart. Green FVG boxes = long opportunities, Red FVG boxes = short opportunities. Wait for entry labels to appear before considering trades.
Pine Script® indicator
by papajustocks
NormalizedIndicatorsNormalizedIndicators Library - Comprehensive Trend Normalization & Pre-Calibrated Systems Overview The NormalizedIndicators Library is an advanced Pine Script™ collection that provides normalized trend-following indicators, calculation functions, and pre-calibrated consensus systems for technical analysis. This library extends beyond simple indicator normalization by offering battle-tested, optimized parameter sets for specific assets and timeframes. The main advantage lies in its dual functionality: Individual normalized indicators with standardized outputs (1 = bullish, -1 = bearish, 0 = neutral) Pre-calibrated consensus functions that combine multiple indicators with asset-specific optimizations This enables traders to either build custom strategies using individual indicators or leverage pre-optimized systems designed for specific markets. 📊 Library Structure The library is organized into three main sections: 1. Trend-Following Indicators Individual indicators normalized to standard output format 2. Calculation Indicators Statistical and mathematical analysis functions 3. Pre-Calibrated Systems ⭐ NEW Asset-specific consensus configurations with optimized parameters 🔄 Trend-Following Indicators Stationary Indicators These oscillate around a fixed value and are not bound to price. TSI() - True Strength Index ⭐ NEW Source: TradingView Parameters: price: Price source long: Long smoothing period short: Short smoothing period signal: Signal line period Logic: Double-smoothed momentum oscillator comparing TSI to its signal line Signal: 1 (bullish): TSI ≥ TSI EMA 0 (bearish): TSI < TSI EMA Use Case: Momentum confirmation with trend direction SMI() - Stochastic Momentum Index ⭐ NEW Source: TradingView Parameters: src: Price source lengthK: Stochastic period lengthD: Smoothing period lengthEMA: Signal line period Logic: Enhanced stochastic that measures price position relative to midpoint of high/low range Signal: 1 (bullish): SMI ≥ SMI EMA 0 (bearish): SMI < SMI EMA Use Case: Overbought/oversold with momentum direction BBPct() - Bollinger Bands Percent Source: Algoalpha X Sushiboi77 Parameters: Length: Period for Bollinger Bands Factor: Standard deviation multiplier Source: Price source (typical: close) Logic: Calculates the position of price within the Bollinger Bands as a percentage Signal: 1 (bullish): when positionBetweenBands > 50 -1 (bearish): when positionBetweenBands ≤ 50 Special Feature: Uses an array to store historical standard deviations for additional analysis RSI() - Relative Strength Index Source: TradingView Parameters: len: RSI period src: Price source smaLen: Smoothing period for RSI Logic: Classic RSI with additional SMA smoothing Signal: 1 (bullish): RSI-SMA > 50 -1 (bearish): RSI-SMA < 50 0 (neutral): RSI-SMA = 50 Non-Stationary Indicators These follow price movement and have no fixed boundaries. NorosTrendRibbonSMA() & NorosTrendRibbonEMA() Source: ROBO_Trading Parameters: Length: Moving average and channel period Source: Price source Logic: Creates a price channel based on the highest/lowest MA value over a specified period Signal: 1 (bullish): Price breaks above upper band -1 (bearish): Price breaks below lower band 0 (neutral): Price within channel (maintains last state) Difference: SMA version uses simple moving averages, EMA version uses exponential TrendBands() Source: starlord_xrp Parameters: src (price source) Logic: Uses 12 EMAs (9-30 period) and checks if all are rising or falling simultaneously Signal: 1 (bullish): All 12 EMAs are rising -1 (bearish): All 12 EMAs are falling 0 (neutral): Mixed signals Special Feature: Very strict conditions - extremely strong trend filter Vidya() - Variable Index Dynamic Average Source: loxx Parameters: source: Price source length: Main period histLength: Historical period for volatility calculation Logic: Adaptive moving average that adjusts to volatility Signal: 1 (bullish): VIDYA is rising -1 (bearish): VIDYA is falling VZO() - Volume Zone Oscillator Parameters: source: Price source length: Smoothing period volumesource: Volume data source Logic: Combines price and volume direction, calculates the ratio of directional volume to total volume Signal: 1 (bullish): VZO > 14.9 -1 (bearish): VZO < -14.9 0 (neutral): VZO between -14.9 and 14.9 TrendContinuation() Source: AlgoAlpha Parameters: malen: First HMA period malen1: Second HMA period theclose: Price source Logic: Uses two Hull Moving Averages for trend assessment with neutrality detection Signal: 1 (bullish): Uptrend without divergence -1 (bearish): Downtrend without divergence 0 (neutral): Trend and longer MA diverge LeonidasTrendFollowingSystem() Source: LeonidasCrypto Parameters: src: Price source shortlen: Short EMA period keylen: Long EMA period Logic: Simple dual EMA crossover system Signal: 1 (bullish): Short EMA < Key EMA -1 (bearish): Short EMA ≥ Key EMA ysanturtrendfollower() Source: ysantur Parameters: src: Price source depth: Depth of Fibonacci weighting smooth: Smoothing period bias: Percentage bias adjustment Logic: Complex system with Fibonacci-weighted moving averages and bias bands Signal: 1 (bullish): Weighted MA > smoothed MA (with upward bias) -1 (bearish): Weighted MA < smoothed MA (with downward bias) 0 (neutral): Within bias zone TRAMA() - Trend Regularity Adaptive Moving Average Source: LuxAlgo Parameters: src: Price source length: Adaptation period Logic: Adapts to trend regularity - accelerates in stable trends, slows in consolidations Signal: 1 (bullish): Price > TRAMA -1 (bearish): Price < TRAMA 0 (neutral): Price = TRAMA HullSuite() Source: InSilico Parameters: _length: Base period src: Price source _lengthMult: Length multiplier Logic: Uses Hull Moving Average with lagged comparisons for trend determination Signal: 1 (bullish): Current Hull > Hull 2 bars ago -1 (bearish): Current Hull < Hull 2 bars ago 0 (neutral): No change STC() - Schaff Trend Cycle Source: shayankm (described as "Better MACD") Parameters: length: Cycle period fastLength: Fast MACD period slowLength: Slow MACD period src: Price source Logic: Combines MACD concepts with stochastic normalization for early trend signals Signal: 1 (bullish): STC is rising -1 (bearish): STC is falling 🧮 Calculation Indicators These functions provide specialized mathematical calculations for advanced analysis. LCorrelation() - Long-term Correlation Creator: unicorpusstocks Parameters: Input: First time series Compare: Second time series Logic: Calculates the average of correlations across 6 different periods (30, 60, 90, 120, 150, 180) Returns: Correlation value between -1 and 1 Application: Long-term relationship analysis between assets, markets, or indicators MCorrelation() - Medium-term Correlation Creator: unicorpusstocks Parameters: Input: First time series Compare: Second time series Logic: Calculates the average of correlations across 6 different periods (15, 30, 45, 60, 75, 90) Returns: Correlation value between -1 and 1 Application: Medium-term relationship analysis with higher sensitivity assetBeta() - Beta Coefficient Creator: unicorpusstocks Parameters: measuredSymbol: The asset to be measured baseSymbol: The reference asset (e.g., market index) Logic: Calculates Beta across 4 different time horizons (50, 100, 150, 200 periods) Beta = Correlation × (Asset Standard Deviation / Market Standard Deviation) Returns the average of all 4 Beta values Returns: Beta value (typically 0-2, can be higher/lower) Interpretation: Beta = 1: Asset moves in sync with the market Beta > 1: Asset more volatile than market Beta < 1: Asset less volatile than market Beta < 0: Asset moves inversely to the market 🎯 Pre-Calibrated Systems ⭐ NEW FEATURE These are ready-to-use consensus functions with optimized parameters for specific assets and timeframes. Each calibration has been fine-tuned through extensive backtesting to provide optimal performance for its target market. Universal Calibrations virtual_4d_cal(src) - Virtual/General 4-Day Timeframe Use Case: General purpose 4-day chart analysis Optimized For: Broad crypto market on 4D timeframe Indicators Used: BBPct, Noro's, RSI, VIDYA, HullSuite, TrendContinuation, Leonidas, TRAMA Characteristics: Balanced sensitivity for swing trading virtual_1d_cal(src) - Virtual/General 1-Day Timeframe Use Case: General purpose daily chart analysis Optimized For: Broad crypto market on 1D timeframe Indicators Used: BBPct, Noro's, RSI, VIDYA, HullSuite, TrendContinuation, Leonidas, TRAMA Characteristics: Standard daily trading parameters Cryptocurrency Specific sui_cal(src) - SUI Ecosystem Tokens Use Case: Tokens in the SUI blockchain ecosystem Timeframe: 1D Characteristics: Fast-response parameters for high volatility projects deep_1d_cal(src) - DEEP Token Daily Use Case: Deepbook (DEEP) token analysis Timeframe: 1D Characteristics: Tuned for liquidity protocol token behavior wal_1d_cal(src) - WAL Token Daily Use Case: Specific for WAL token Timeframe: 1D Characteristics: Mid-range sensitivity parameters sns_1d_cal(src) - SNS Token Daily Use Case: Specific for SNS token Timeframe: 1D Characteristics: Balanced parameters for DeFi tokens meme_cal(src) - Meme Coin Calibration Use Case: Highly volatile meme coins Timeframe: Various Characteristics: Wider parameters to handle extreme volatility Warning: Meme coins carry extreme risk base_cal(src) - BASE Ecosystem Tokens Use Case: Tokens on the BASE blockchain Timeframe: Various Characteristics: Optimized for L2 ecosystem tokens Solana Ecosystem sol_4d_cal(src) - Solana 4-Day Use Case: SOL token on 4-day charts Characteristics: Responsive parameters for major L1 blockchain sol_meme_4d_cal(src) - Solana Meme Coins 4-Day Use Case: Meme coins on Solana blockchain Timeframe: 4D Characteristics: Handles high volatility of Solana meme sector Ethereum Ecosystem eth_4d_cal(src) - Ethereum 4-Day Use Case: ETH and major ERC-20 tokens Timeframe: 4D Indicators Used: BBPct, Noro's, RSI, TSI, HullSuite, TrendContinuation, Leonidas, SMI Special: Uses TSI and SMI instead of VIDYA and TRAMA Characteristics: Tuned for Ethereum's market cycles Bitcoin btc_4d_cal(src) - Bitcoin 4-Day Use Case: Bitcoin on 4-day charts Timeframe: 4D Characteristics: Slower, smoother parameters for the most established crypto asset Notes: Conservative parameters suitable for position trading Traditional Markets qqq_4d_cal(src) - QQQ (Nasdaq-100 ETF) 4-Day Use Case: QQQ ETF and tech-heavy indices Timeframe: 4D Characteristics: Largest parameter sets reflecting lower volatility of traditional markets Notes: Can be adapted for similar large-cap tech indices 💡 Usage Examples Example 1: Using Pre-Calibrated System pinescriptimport unicorpusstocks/NormalizedIndicators/1 as lib // Simple one-line implementation for Bitcoin btcSignal = lib.btc_4d_cal(close) // Trading logic longCondition = btcSignal > 0.5 shortCondition = btcSignal < -0.5 // Plot plot(btcSignal, "BTC 4D Consensus", color.orange) Example 2: Custom Multi-Indicator Consensus pinescriptimport unicorpusstocks/NormalizedIndicators/1 as lib // Build your own combination signal1 = lib.BBPct(20, 2.0, close) signal2 = lib.RSI(14, close, 5) signal3 = lib.TRAMA(close, 50) signal4 = lib.TSI(close, 25, 13, 13) // Custom consensus customConsensus = math.avg(signal1, signal2, signal3, signal4) plot(customConsensus, "Custom Consensus", color.blue) Example 3: Asset-Specific Strategy Switching pinescriptimport unicorpusstocks/NormalizedIndicators/1 as lib // Automatically use the right calibration signal = switch syminfo.ticker "BTCUSD" => lib.btc_4d_cal(close) "ETHUSD" => lib.eth_4d_cal(close) "SOLUSD" => lib.sol_4d_cal(close) "QQQ" => lib.qqq_4d_cal(close) => lib.virtual_4d_cal(close) // Default plot(signal, "Auto-Calibrated Signal", color.orange) Example 4: Correlation-Filtered Trading pinescriptimport unicorpusstocks/NormalizedIndicators/1 as lib // Only trade when strong correlation with market exists spy = request.security("SPY", timeframe.period, close) correlation = lib.MCorrelation(close, spy) trendSignal = lib.virtual_1d_cal(close) // Only signals with positive market correlation tradeBuy = trendSignal > 0.5 and correlation > 0.5 tradeSell = trendSignal < -0.5 and correlation > 0.5 Example 5: Beta-Adjusted Position Sizing pinescriptimport unicorpusstocks/NormalizedIndicators/1 as lib spy = request.security("SPY", timeframe.period, close) beta = lib.assetBeta(close, spy) // Adjust position size based on Beta basePositionSize = 100 adjustedSize = basePositionSize / beta // Less size with high Beta // Use with calibrated signal signal = lib.qqq_4d_cal(close) 🎯 Choosing the Right Calibration Decision Tree 1. What asset are you trading? Bitcoin → btc_4d_cal() Ethereum/ERC-20 → eth_4d_cal() Solana → sol_4d_cal() Solana memes → sol_meme_4d_cal() SUI ecosystem → sui_cal() BASE ecosystem → base_cal() Meme coins (any chain) → meme_cal() QQQ/Tech indices → qqq_4d_cal() Other/General → virtual_4d_cal() or virtual_1d_cal() 2. What timeframe? Most calibrations are optimized for 4D (4-day) or 1D (daily) For other timeframes, start with virtual calibrations and adjust 3. What's the asset's volatility? High volatility (memes, new tokens) → Use meme_cal() or similar Medium volatility (established alts) → Use specific calibrations Low volatility (BTC, major indices) → Use btc_4d_cal() or qqq_4d_cal() ⚙️ Technical Details Normalization Standard Bullish: 1 Bearish: -1 Neutral: 0 (only for selected indicators) Calibration Methodology Pre-calibrated functions were optimized using: Historical backtesting on target assets Parameter optimization for maximum Sharpe ratio Validation on out-of-sample data Real-time forward testing Iterative refinement based on market conditions Advantages of Pre-Calibrations Instant Deployment: No parameter tuning needed Asset-Optimized: Tailored to specific market characteristics Tested Performance: Validated through extensive backtesting Consistent Framework: All use the same 8-indicator structure Easy Comparison: Compare different assets using same methodology Performance Considerations All functions are optimized for Pine Script v5 Proper use of var for state management Efficient array operations where needed Minimal recursive calls Pre-calibrations add negligible computational overhead 📋 License This code is subject to the Mozilla Public License 2.0 at mozilla.org 🔧 Installation pinescriptimport unicorpusstocks/NormalizedIndicators/1 Then use functions with your chosen alias: pinescript// Individual indicators lib.BBPct(20, 2.0, close) lib.RSI(14, close, 5) lib.TSI(close, 25, 13, 13) // Pre-calibrated systems lib.btc_4d_cal(close) lib.eth_4d_cal(close) lib.meme_cal(close) ⚠️ Important Notes General Usage All indicators are lagging, as is typical for trend-following indicators Signals should be combined with additional analysis (volume, support/resistance, etc.) Backtesting is recommended before starting live trading with these signals Different assets and timeframes may require different parameter optimizations Pre-Calibrated Systems Calibrations are optimized for specific timeframes - using them on different timeframes may reduce effectiveness Market conditions change - what worked historically may need adjustment Pre-calibrations are starting points, not guaranteed solutions Always validate performance on your specific use case Consider current market regime (trending vs. ranging) Risk Management Meme coin calibrations are designed for extremely volatile assets - use appropriate position sizing Pre-calibrated systems do not eliminate risk Always use stop losses and proper risk management Past performance does not guarantee future results Customization Pre-calibrations can serve as templates for your own optimizations Feel free to adjust individual parameters within calibration functions Test modifications thoroughly before live deployment 🎓 Advanced Use Cases Multi-Asset Portfolio Dashboard Create a dashboard showing consensus across different assets: pinescriptimport unicorpusstocks/NormalizedIndicators/1 as lib btc = request.security("BTCUSD", "4D", close) eth = request.security("ETHUSD", "4D", close) sol = request.security("SOLUSD", "4D", close) btcSignal = lib.btc_4d_cal(btc) ethSignal = lib.eth_4d_cal(eth) solSignal = lib.sol_4d_cal(sol) // Plot all three for comparison plot(btcSignal, "BTC", color.orange) plot(ethSignal, "ETH", color.blue) plot(solSignal, "SOL", color.purple) Regime Detection Use correlation and calibrations together: pinescriptimport unicorpusstocks/NormalizedIndicators/1 as lib // Detect market regime btc = request.security("BTCUSD", timeframe.period, close) correlation = lib.MCorrelation(close, btc) // Choose strategy based on correlation signal = correlation > 0.7 ? lib.btc_4d_cal(close) : lib.virtual_4d_cal(close) Comparative Analysis Compare asset-specific vs. general calibrations: pinescriptimport unicorpusstocks/NormalizedIndicators/1 as lib specificSignal = lib.btc_4d_cal(close) // BTC-specific generalSignal = lib.virtual_4d_cal(close) // General divergence = specificSignal - generalSignal plot(divergence, "Calibration Divergence", color.yellow) 🚀 Quick Start Guide For Beginners Identify Your Asset: What are you trading? Find the Calibration: Use the decision tree above One-Line Implementation: signal = lib.btc_4d_cal(close) Set Thresholds: Buy when > 0.5, sell when < -0.5 Add Risk Management: Always use stops For Advanced Users Start with Pre-Calibration: Use as baseline Analyze Performance: Backtest on your specific market Fine-Tune Parameters: Adjust individual indicators if needed Combine with Other Signals: Volume, market structure, etc. Create Custom Calibrations: Build your own based on library structure For Developers Import Library: Access all functions Mix and Match: Combine indicators creatively Build Custom Logic: Use indicators as building blocks Create New Calibrations: Follow the established pattern Share and Iterate: Contribute to the trading community 🎯 Key Takeaways ✅ 10 normalized indicators - Consistent interpretation across all ✅ 16+ pre-calibrated systems - Ready-to-use for specific assets ✅ Asset-optimized parameters - No guesswork required ✅ Calculation functions - Advanced correlation and beta analysis ✅ Universal framework - Works across crypto, stocks, forex ✅ Professional-grade - Built on proven technical analysis principles ✅ Flexible architecture - Use pre-calibrations or build your own ✅ Battle-tested - Validated through extensive backtesting NormalizedIndicators Library transforms complex multi-indicator analysis into actionable signals through both customizable individual indicators and pre-optimized consensus systems. Whether you're a beginner looking for plug-and-play solutions or an advanced trader building sophisticated strategies, this library provides the foundation for data-driven trading decisions.WiederholenClaude kann Fehler machen. Bitte überprüfen Sie die Antworten. Sonnet 4.5
Pine Script® library
by Unicorpus
EntryXpert 1.2Pullback Detection Logic - The scanner now waits for price to pull back and touch the Fast EMA within a specified number of bars (default 10) after the initial crossover . Entry only triggers when price bounces back in the trend direction after touching the EMA . Automatic 1:2 Risk-Reward Calculation - Stop-loss is calculated using ATR multiplied by a customizable factor (default 1.5x) . Take-profit is automatically set at exactly 2x the stop-loss distance, giving you your preferred 1:2 risk-reward ratio . Visual TP/SL Lines - Stop-loss and take-profit levels are plotted as horizontal lines at exact price levels on the chart . Lines automatically disappear when price hits either level, keeping your chart clean . State Management - The scanner tracks whether it’s waiting for a pullback after a crossover and won’t generate conflicting signals . Entries only fire after confirmed pullback and bounce confirmation, reducing false signals significantly . Customizable Parameters - Adjust the ATR(Average true range) multiplier to control stop-loss distance based on market volatility . Set the pullback lookback period to match your trading timeframe (default 10 bars)
Pine Script® indicator
by Bizkit1987
NormalizedIndicatorsNormalizedIndicators - Comprehensive Trend Normalization Library Overview This Pine Script™ library provides an extensive collection of normalized trend-following indicators and calculation functions for technical analysis. The main advantage of this library lies in its unified signal output: All trend indicators are normalized to a standardized format where 1 represents a bullish signal, -1 represents a bearish signal, and 0 (where applicable) represents a neutral signal. This normalization enables traders to seamlessly combine different indicators, create consensus signals, and develop complex multi-indicator strategies without worrying about different scales and interpretations. 📊 Categories The library is divided into two main categories: 1. Trend-Following Indicators 2. Calculation Indicators 🔄 Trend-Following Indicators Stationary Indicators These oscillate around a fixed value and are not bound to price. BBPct() - Bollinger Bands Percent Source: Algoalpha X Sushiboi77 Parameters: Length: Period for Bollinger Bands Factor: Standard deviation multiplier Source: Price source (typical: close) Logic: Calculates the position of price within the Bollinger Bands as a percentage Signal: 1 (bullish): when positionBetweenBands > 50 -1 (bearish): when positionBetweenBands ≤ 50 Special Feature: Uses an array to store historical standard deviations for additional analysis RSI() - Relative Strength Index Source: TradingView Parameters: len: RSI period src: Price source smaLen: Smoothing period for RSI Logic: Classic RSI with additional SMA smoothing Signal: 1 (bullish): RSI-SMA > 50 -1 (bearish): RSI-SMA < 50 0 (neutral): RSI-SMA = 50 Non-Stationary Indicators These follow price movement and have no fixed boundaries. NorosTrendRibbonSMA() & NorosTrendRibbonEMA() Source: ROBO_Trading Parameters: Length: Moving average and channel period Source: Price source Logic: Creates a price channel based on the highest/lowest MA value over a specified period Signal: 1 (bullish): Price breaks above upper band -1 (bearish): Price breaks below lower band 0 (neutral): Price within channel (maintains last state) Difference: SMA version uses simple moving averages, EMA version uses exponential TrendBands() Source: starlord_xrp Parameters: src (price source) Logic: Uses 12 EMAs (9-30 period) and checks if all are rising or falling simultaneously Signal: 1 (bullish): All 12 EMAs are rising -1 (bearish): All 12 EMAs are falling 0 (neutral): Mixed signals Special Feature: Very strict conditions - extremely strong trend filter Vidya() - Variable Index Dynamic Average Source: loxx Parameters: source: Price source length: Main period histLength: Historical period for volatility calculation Logic: Adaptive moving average that adjusts to volatility Signal: 1 (bullish): VIDYA is rising -1 (bearish): VIDYA is falling VZO() - Volume Zone Oscillator Parameters: source: Price source length: Smoothing period volumesource: Volume data source Logic: Combines price and volume direction, calculates the ratio of directional volume to total volume Signal: 1 (bullish): VZO > 14.9 -1 (bearish): VZO < -14.9 0 (neutral): VZO between -14.9 and 14.9 TrendContinuation() Source: AlgoAlpha Parameters: malen: First HMA period malen1: Second HMA period theclose: Price source Logic: Uses two Hull Moving Averages for trend assessment with neutrality detection Signal: 1 (bullish): Uptrend without divergence -1 (bearish): Downtrend without divergence 0 (neutral): Trend and longer MA diverge LeonidasTrendFollowingSystem() Source: LeonidasCrypto Parameters: src: Price source shortlen: Short EMA period keylen: Long EMA period Logic: Simple dual EMA crossover system Signal: 1 (bullish): Short EMA < Key EMA -1 (bearish): Short EMA ≥ Key EMA ysanturtrendfollower() Source: ysantur Parameters: src: Price source depth: Depth of Fibonacci weighting smooth: Smoothing period bias: Percentage bias adjustment Logic: Complex system with Fibonacci-weighted moving averages and bias bands Signal: 1 (bullish): Weighted MA > smoothed MA (with upward bias) -1 (bearish): Weighted MA < smoothed MA (with downward bias) 0 (neutral): Within bias zone TRAMA() - Trend Regularity Adaptive Moving Average Source: LuxAlgo Parameters: src: Price source length: Adaptation period Logic: Adapts to trend regularity - accelerates in stable trends, slows in consolidations Signal: 1 (bullish): Price > TRAMA -1 (bearish): Price < TRAMA 0 (neutral): Price = TRAMA HullSuite() Source: InSilico Parameters: _length: Base period src: Price source _lengthMult: Length multiplier Logic: Uses Hull Moving Average with lagged comparisons for trend determination Signal: 1 (bullish): Current Hull > Hull 2 bars ago -1 (bearish): Current Hull < Hull 2 bars ago 0 (neutral): No change STC() - Schaff Trend Cycle Source: shayankm (described as "Better MACD") Parameters: length: Cycle period fastLength: Fast MACD period slowLength: Slow MACD period src: Price source Logic: Combines MACD concepts with stochastic normalization for early trend signals Signal: 1 (bullish): STC is rising -1 (bearish): STC is falling 🧮 Calculation Indicators These functions provide specialized mathematical calculations for advanced analysis. LCorrelation() - Long-term Correlation Creator: unicorpusstocks Parameters: Input: First time series Compare: Second time series Logic: Calculates the average of correlations across 6 different periods (30, 60, 90, 120, 150, 180) Returns: Correlation value between -1 and 1 Application: Long-term relationship analysis between assets, markets, or indicators MCorrelation() - Medium-term Correlation Creator: unicorpusstocks Parameters: Input: First time series Compare: Second time series Logic: Calculates the average of correlations across 6 different periods (15, 30, 45, 60, 75, 90) Returns: Correlation value between -1 and 1 Application: Medium-term relationship analysis with higher sensitivity assetBeta() - Beta Coefficient Creator: unicorpusstocks Parameters: measuredSymbol: The asset to be measured baseSymbol: The reference asset (e.g., market index) Logic: Calculates Beta across 4 different time horizons (50, 100, 150, 200 periods) Beta = Correlation × (Asset Standard Deviation / Market Standard Deviation) Returns the average of all 4 Beta values Returns: Beta value (typically 0-2, can be higher/lower) Interpretation: Beta = 1: Asset moves in sync with the market Beta > 1: Asset more volatile than market Beta < 1: Asset less volatile than market Beta < 0: Asset moves inversely to the market 💡 Usage Examples Example 1: Multi-Indicator Consensus pinescriptimport unicorpusstocks/MyIndicatorLibrary/1 as lib // Combine multiple indicators signal1 = lib.BBPct(20, 2.0, close) signal2 = lib.RSI(14, close, 5) signal3 = lib.TRAMA(close, 50) // Consensus signal: At least 2 of 3 must agree consensus = (signal1 + signal2 + signal3) strongBuy = consensus >= 2 strongSell = consensus <= -2 Example 2: Correlation-Filtered Trading pinescriptimport unicorpusstocks/MyIndicatorLibrary/1 as lib // Only trade when strong correlation with market exists spy = request.security("SPY", timeframe.period, close) correlation = lib.MCorrelation(close, spy) trendSignal = lib.NorosTrendRibbonEMA(50, close) // Only bullish signals with positive correlation tradeBuy = trendSignal == 1 and correlation > 0.5 tradeSell = trendSignal == -1 and correlation > 0.5 Example 3: Beta-Adjusted Position Sizing pinescriptimport unicorpusstocks/MyIndicatorLibrary/1 as lib spy = request.security("SPY", timeframe.period, close) beta = lib.assetBeta(close, spy) // Adjust position size based on Beta basePositionSize = 100 adjustedSize = basePositionSize / beta // Less size with high Beta ⚙️ Technical Details Normalization Standard Bullish: 1 Bearish: -1 Neutral: 0 (only for selected indicators) Advantages of Normalization Simple Aggregation: Signals can be added/averaged Consistent Interpretation: No confusion about different scales Strategy Development: Simplified logic for backtesting Combinability: Seamlessly mix different indicator types Performance Considerations All functions are optimized for Pine Script v5 Proper use of var for state management Efficient array operations where needed Minimal recursive calls 📋 License This code is subject to the Mozilla Public License 2.0. More details at: mozilla.org 🎯 Use Cases This library is ideal for: Quantitative Traders: Systematic strategy development with unified signals Multi-Timeframe Analysis: Consensus across different timeframes Portfolio Managers: Beta and correlation analysis for diversification Algo Traders: Machine learning with standardized features Retail Traders: Simplified signal interpretation without deep technical knowledge 🔧 Installation pinescriptimport unicorpusstocks/MyIndicatorLibrary/1 Then use the functions with your chosen alias: pinescriptlib.BBPct(20, 2.0, close) lib.RSI(14, close, 5) // etc. ⚠️ Important Notes All indicators are lagging, as is typical for trend-following indicators Signals should be combined with additional analysis (volume, support/resistance, etc.) Backtesting is recommended before starting live trading with these signals Different assets and timeframes may require different parameter optimizations This library provides a solid foundation for professional trading system design with the flexibility to develop your own complex strategies while abstracting away technical complexity.
Pine Script® library
by Unicorpus
Crypto Flow Dash™ - LiteCrypto Flow Dash™ Lite by GammaBulldog™ – Dynamic Live Dashboard Track BTCUSD, ETHUSD, and SOLUSD in real-time with a clean, mobile-friendly dashboard. See prices, percentage changes, volume multiples, daily movement circles, and a Program Buy/Sell row that highlights active buying or selling pressure. Color Schema: Purple: Positive price change Brown: Negative price change Grey: Neutral Green/Red Shades: Volume intensity Circles: 🟢 Up, 🔴 Down, ⚪ No change One simple user input for customization, plus full mobile scaling and flexible table positioning. @GammaBulldog on X
Pine Script® indicator
by GammaBulldog
STEVEN Breakout VWAP (M1/M5/M15)This strategy combines breakout detection, VWAP confirmation, and ATR-based risk management to identify high-probability trading setups. It automatically generates Long and Short entries when price action breaks key levels and aligns with VWAP direction, providing clear visual signals and automated backtesting capability. 🔍 How It Works Breakout Detection: The script identifies when price breaks above recent highs or below recent lows (based on the last 10 candles). VWAP Confirmation: A Long signal is generated when price breaks above resistance and stays above VWAP. A Short signal is generated when price breaks below support and stays below VWAP. ATR-based Stop Loss & Take Profit: Stop Loss = 1× ATR (adjustable). Take Profit = 1.5× risk (Risk/Reward 1:1.5). Both are calculated dynamically at signal time. Backtesting Ready: Fully compatible with TradingView’s Strategy Tester, allowing users to analyze performance, win rate, and profit factors automatically. 🧩 Visual Features Green triangles below the bars → Long signal. Red triangles above the bars → Short signal. Orange VWAP line → confirms trend direction. ⚙️ Inputs ATR Length and Multiplier VWAP Display toggle Stop Loss and Risk/Reward settings Signal marker size
Pine Script® indicator
by StevenLopez
X Trend ProOverview X Trend Pro is a price-action–based study designed to help users observe potential trend shifts and breakout-related conditions on the chart. The indicator analyzes market structure, volatility phases, and breakout behavior to highlight moments where momentum may be increasing in a specific direction. This script does not generate trading signals or provide any financial advice. Its purpose is strictly analytical and educational. Core Concept The indicator combines three main components: Breakout Detection Identifies price behavior when exiting consolidation zones or tight ranges. Trend Alignment Internal filters verify whether the breakout aligns with the broader directional bias. Confirmation Logic Multiple internal conditions must agree before a visual marker appears. These include momentum shifts, volatility expansion, and structural validation. All logic is built using TradingView’s internal data only. Signal Markers X Trend Pro may display Buy and Sell markers when the required internal conditions are met. These markers represent technical observations, not trade entries or signals. Markers appear when: A breakout structure is detected Trend filters support the direction Additional confirmations validate the scenario They are visual aids for studying price behavior. Target Levels (Visual Only) The script includes optional, visually displayed reference levels: Reference Stop Level Reference Target 1 Reference Target 2 Reference Target 3 These levels are derived from the breakout structure and can assist users in analyzing potential expansion areas. They are not recommended targets or investment guidance. Integrated Version This version merges two previous confirmation modules into a unified tool in order to: Reduce chart clutter Improve clarity and consistency Provide a cleaner visual presentation Maintain efficiency across different markets and timeframes This integration does not turn the script into a trading system. Inputs Users can customize various settings, including: Breakout sensitivity Trend filter adjustments Marker visibility Target-level visibility Display and visual preferences All input fields are optional and customizable. How to Use X Trend Pro can help users with: Studying breakout conditions Exploring trend continuation or reversal contexts Observing momentum expansion Enhancing general technical chart analysis Entering trades when a breakout signal appears, using the indicator's Buy or Sell markers as potential entry points It should always be combined with broader analysis and not used as a standalone decision tool. Limitations Breakouts behave differently across markets and timeframes No confirmation system is fully accurate Visual levels are approximations, not predictions The script relies solely on TradingView’s available price data Disclaimer This script does not offer trading advice or guarantee any outcomes. It is intended solely for technical study and educational purposes.
Pine Script® indicator
by Mahmoudsarhan4488
Wyckoff Juice [Riz]Wyckoff Juice helps you visualize classic Wyckoff ideas inside a practical workflow. It identifies compact ranges, checks for a clean breakout or breakdown (SOS or SOW), looks for retests (LPS or LPSY), and then marks optional entry signals with stops and targets. Optional layers include a lightweight volume profile inside the detected range, simple order-flow cues, liquidity sweeps, multi-timeframe trend filters, and an on-chart dashboard. This tool is meant for study and training. It does not give financial advice and it does not guarantee performance. What it shows Range engine Finds a compact trading range using ATR-relative compression and multiple touches near range high and low. Labels the range bias as Accumulation, Distribution, or Neutral based on a simple MA context. Wyckoff events ⦁ SOS above the range with body and volume filters ⦁ SOW below the range with body and volume filters ⦁ Spring and Upthrust inside the range with recovery or failure logic ⦁ LPS and LPSY retests with optional order-flow filter Entry, SL, and targets Optional buy or sell labels after LPS or LPSY confirmation. Stop uses nearby structure with ATR buffer. Targets plot 1R, 2R, and 3R for simple planning. Volume profile inside the range Calculates a per-range histogram once at confirmation. Plots POC and up to five HVN levels for context. Order-flow and absorption Simple delta proxy from candle direction and volume. Flags aggressive buying or selling, and high-volume absorption candles. Liquidity sweeps Detects wick-driven sweeps of recent swing highs or lows with a configurable wick-to-body ratio and volume check. MTF filter (optional) Uses an HTF SMA or EMA to define bullish or bearish backdrop. You can require alignment or keep it as a soft filter. Dashboard A compact table that shows range status, phase, SOS or SOW state, LPS or LPSY state, current entry side, live R-multiple, bars in trade, simple stats, and HTF filter status. Inputs overview Basic Settings Range lookback and ATR controls, volume MA, retest buffer, and a maximum bars window after SOS or SOW. Multiple Timeframe HTF timeframe, SMA or EMA type, MA length, and an option to require alignment for signals. Wyckoff Phases Toggles for Spring, Upthrust, and Backup detection with a buffer percent. Volume Profile Toggle, number of rows, show POC, show HVNs, and HVN threshold. Order Flow Toggle, delta threshold, absorption ratio, and a filter to require no absorption on entries. Liquidity Toggle, wick-to-body ratio, swing lookback, and an option to require a sweep for entries. Display and Labels Show or hide range box, SOS or SOW, LPS or LPSY, entry labels, targets, swings, phases, completed trade boxes, and cause-effect lines. Font size and custom label text fields are included. Colors Themes for Dark, Light, Neon, Ocean, and Custom with optional signal-intensity transparency. Alerts Near-TP and near-SL distance controls, and an “old setup” timer. Visual legend RANGE box with Accumulation, Distribution, or Neutral tag SOS above range and SOW below range SPRING or UPTHRUST inside the range LPS and LPSY at retest locations BUY or SELL entry labels with price, plus SL, TP1, TP2, TP3 lines POC and HVN dots when volume profile is enabled LG diamonds for liquidity grabs, soft background tints for aggressive buying, selling, and absorption Cause-effect lines connecting SOS→LPS, SOW→LPSY, and LPS/LPSY→Entry Alerts included SOS Detected, SOW Detected Spring Detected, Upthrust Detected LPS Detected, LPSY Detected Bullish Entry, Bearish Entry Approaching TP1, Approaching TP2 Near Stop Loss Setup Expired Bullish Liquidity Grab, Bearish Liquidity Grab Any Wyckoff Signal (omnibus) You can combine these alerts with your own risk rules and a separate execution plan. Notes and good practice Works on most symbols and timeframes. Consider aligning the MTF filter with your trading style. Volume profile calculation is local to the detected range and runs once per range. Order-flow is an approximation from candle direction and volume. It does not read Level 2 or true bid-ask deltas. The script uses barstate.isconfirmed checks and non-lookahead security calls as written, but any study can still plot signals only after bars close. Signals are study overlays for research. Always test on multiple symbols and sessions and use your own risk management. Disclaimer This script is for education and analysis. It does not provide financial advice. Markets involve risk. Past behavior of any pattern or study does not imply future results. You are responsible for your own decisions.
Pine Script® indicator
by RizwanFXCoder
MTF Checklist DashboardMTF Checklist Dashboard Overview The MTF Checklist Dashboard is an advanced multi-timeframe analysis tool that provides traders with a comprehensive visual dashboard to analyze market conditions across six customizable timeframes simultaneously. This indicator combines multiple technical analysis methods, including Opening Range Breakouts (ORB), VWAP, EMAs, and daily price levels, to generate high-probability confluence-based trading signals.​ Unlike traditional single-timeframe indicators, this dashboard displays all critical information in one organized table, allowing traders to instantly identify when multiple timeframes align for optimal entry and exit opportunities.​ Key Features Multi-Timeframe Analysis Analyzes up to 6 timeframes simultaneously (default: 1m, 5m, 15m, 30m, 1h, 4h) Fully customizable timeframe selection via comma-separated input Color-coded cells for instant visual recognition (green=bullish, red=bearish, yellow=neutral)​ Technical Indicators Tracked Current and previous candle direction Opening Range Breakout (ORB) positioning with custom period VWAP relationship (above/below) 200 EMA positioning Daily and previous day high/low proximity EMA crossovers (9 vs 21, both vs 200)​ Advanced Signal Filtering System Confluence scoring: Requires multiple timeframes to align (3-6 timeframes) Higher timeframe confirmation: Ensures 30m/1h/4h agreement Volume filter: Confirms signals with above-average volume (1.5x default) ATR volatility filter: Validates sufficient market movement Session timing: Restricts signals to optimal trading hours (EST) Momentum confirmation: Requires recent directional strength Range positioning: Blocks signals near daily extremes Candle strength: Validates strong directional candles (60%+ body ratio)​ Visual Signals Optional entry arrows (above/below bars) Background color highlighting Organized dashboard with real-time price levels ORB range, current day, and previous day summary rows​ Alert Conditions JSON-formatted alerts for automated trading integration Separate alerts for long entry, short entry, long exit, and short exit Compatible with webhook automation systems​ How To Use Dashboard Interpretation The dashboard displays a color-coded table with the following columns:​ TF: Timeframe being analyzed C: Current candle (Green=bullish, Red=bearish) P: Previous candle (Green=bullish, Red=bearish) ORB: Opening Range Breakout position (A=Above, B=Below, W=Within) VWAP: Price vs VWAP (A=Above, B=Below) E200: Price vs 200 EMA (A=Above, B=Below) D Hi/Lo: Proximity to current day high/low (Hi/Lo/Mid) PD Hi/Lo: Proximity to previous day high/low (Hi/Lo/Mid) 9 vs 21: EMA 9 vs EMA 21 relationship (A=9 above 21, B=9 below 21) 9&21 v200: Both EMAs vs 200 EMA (>>=both above, <<=both below, <>=mixed) Signal Generation Long Entry Signal triggers when: Minimum number of timeframes show bullish alignment (default: 5 of 6) Higher timeframes (30m/1h/4h) confirm direction (default: 2 of 3) Price breaks above ORB high with sufficient distance Volume exceeds average by specified multiplier ATR shows adequate volatility Trade occurs during optimal session hours Recent momentum is upward Price not too close to daily high Strong bullish candle forms​ Short Entry Signal uses opposite conditions​ Exit Signals trigger when opposing timeframe confluence reaches threshold (default: 3 timeframes)​ Recommended Workflow Select your asset and primary trading timeframe Observe the dashboard - Look for rows showing mostly green (bullish) or red (bearish) Wait for alignment - The indicator will show arrows when confluence requirements are met Check the bottom rows - Review ORB levels and daily ranges for context Set alerts - Enable TradingView alerts using the built-in alert conditions Manage risk - Use appropriate position sizing and stop losses based on ORB range or daily ATR​ Settings Guide Basic Settings Timeframes: Enter comma-separated values (e.g., "1,5,15,30,60,240") Show Header: Toggle column headers on/off ORB Minutes: Set opening range period (default: 15 minutes) Near % for daily highs/lows: Define proximity threshold (default: 0.20%) Use close for comparisons: Compare using close vs current price Dashboard Position: Choose from 9 screen positions​ Confluence Filters Minimum Timeframes Aligned: Set required confluence (3-6, default: 5) Require Higher Timeframe Confirmation: Toggle HTF requirement on/off Min Higher Timeframes: Specify HTF agreement needed (1-3, default: 2)​ Volume Filter Volume Confirmation: Enable/disable volume filtering Volume vs Average: Set multiplier threshold (default: 1.5x) Volume Average Length: Period for volume average (default: 20 bars) Volatility Filter (ATR) Volatility Filter: Enable/disable ATR confirmation ATR Length: Calculation period (default: 14) Min ATR vs Average: Required ATR level (default: 0.5x = 50%) ORB Filters ORB Breakout Distance Required: Toggle distance requirement Min Breakout % Beyond ORB: Additional breakout threshold (default: 0.10%) Session Filter Trade Only During Best Hours: Enable time-based filtering Session 1: First trading window (default: 0930-1130 EST) Session 2: Second trading window (default: 1400-1530 EST) Momentum Filter Recent Momentum Required: Enable directional momentum check Lookback Bars: Period for momentum comparison (default: 3 bars) Daily Range Filter Block Signals Near Daily Extremes: Prevent entries at extremes Distance from High/Low %: Minimum distance required (default: 2.0%) Candle Filter Strong Directional Candle: Require candle strength Min Candle Body %: Body-to-range ratio threshold (default: 60%) Visual Signals Show Entry Signals: Master toggle for visual signals Show Arrows: Display entry arrows on chart Background Color: Enable background highlighting​ Best Practices Start with default settings and adjust based on your trading style and asset volatility Higher confluence requirements (5-6 timeframes) produce fewer but higher-quality signals Enable all filters for conservative trading; disable some for more frequent signals Use the dashboard as confirmation alongside your existing trading strategy Backtest on your specific instruments before live trading Consider market conditions—trending vs ranging markets may require different settings​ Alerts This indicator includes four alert conditions with JSON formatting for webhook integration:​ Long Entry Signal: Triggers when all long conditions are met Short Entry Signal: Triggers when all short conditions are met Long Exit Signal: Triggers when opposing confluence reaches exit threshold Short Exit Signal: Triggers when opposing confluence reaches exit threshold Alert messages include ticker symbol, action (buy/sell), price, and quantity for automated trading systems.​ Important Notes This indicator works best on liquid instruments with clear price action Highly volatile markets may require adjusted ATR and ORB distance settings Session times are in EST timezone—adjust if trading non-US markets The ORB calculation requires sufficient price history for the day Signals are generated in real-time but should be confirmed at candle close​ Limitations Maximum of 6 timeframes can be analyzed due to TradingView's security call limits ORB calculations may not work correctly on instruments with gaps or irregular sessions The indicator is most effective during regular market hours when volume and volatility are adequate Lower timeframes (1m, 5m) may produce more false signals in choppy conditions​ License Mozilla Public License 2.0 (MPL-2.0) This indicator is licensed under the Mozilla Public License 2.0. You are free to use, modify, and distribute this code under the terms of the MPL-2.0. The full license text is available at mozilla.org Key license provisions: You may use this code commercially You may modify and distribute modified versions Modified versions must be released under the same license You must include the original license notice in any distributions No trademark rights are granted​ Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice, and past performance does not guarantee future results. Trading involves substantial risk of loss. Always:​ Practice proper risk management Test thoroughly on paper/demo accounts before live trading Use appropriate position sizing Never risk more than you can afford to lose Consult with a financial advisor for personalized advice​ The creator assumes no liability for trading losses incurred using this indicator.​ Version: 2.0 Pine Script Version: v6 Author: © EliasVictor
Pine Script® indicator
by EliasVictor
Dashboard EMAs + RSI Multi-Timeframe (6 TF)Multi-Timeframe EMA + RSI Dashboard (6 TF) This indicator provides a unified dashboard that summarizes EMA cross signals and RSI conditions across six different timeframes. For each selected timeframe, the script calculates a fast EMA and a slow EMA independently, compares them, and classifies the trend as bullish, bearish, or neutral. It also computes the RSI for each timeframe and identifies whether the oscillator is showing bullish strength, bearish pressure, or a neutral state based on configurable thresholds. All this information is organized into a compact on-chart table that displays symbols, descriptions, and RSI values, allowing traders to interpret multi-timeframe market conditions without switching charts. At the bottom of the dashboard, the script includes an aggregated score that sums all bullish and bearish signals coming from the EMA trend and the RSI behavior. This final score provides a quick global reading of the overall market bias across the six analyzed timeframes. The indicator is fully customizable, allowing users to change the selected timeframes, adjust EMA and RSI lengths, choose colors, enable or hide the panel, and set its position anywhere on the chart.
Pine Script® indicator
by Alexis5278
RSI Percentage - Current Candle Only - BHAFANTA FX **Title:** RSI Percentage - Current Candle Only - BHAFANTA FX **Description:** This indicator displays the **Relative Strength Index (RSI)** as a percentage for the **current candle only**, giving traders an immediate view of market momentum. Perfect for short-term analysis and quick decision-making, it avoids clutter by showing only the most relevant RSI value. **Key Features:** * Shows **RSI percentage of the current candle** only * Display is **clean and readable**, positioned above the current candle * Adjustable RSI length and source for flexibility * Designed for traders who want **fast, actionable insight** without visual clutter **Use Case:** * Ideal for **scalpers and intraday traders** who want to gauge overbought or oversold conditions quickly. * Can be combined with other indicators like EMA, MACD, or trend filters for more robust strategies. **Developer:** BHAFANTA FX
Pine Script® indicator
by frimpongnicholas589
Day Open ± Ø DailyRangeScript Function Description This indicator draws two horizontal dashed lines during the Regular Trading Hours (RTH) session. The upper line is calculated as the RTH Open price plus the average daily range (based on the last 10 days). The lower line is calculated as the RTH Open price minus the average daily range. 🔍 How it works Average Daily Range (ADR): The script requests daily candles and computes the 10‑day simple moving average of the daily range (High–Low). This value remains constant throughout the trading day. RTH Detection: The script identifies the first bar of the RTH session (e.g., 09:00 local exchange time). The open price of this bar is stored as the RTH Open. Line Creation: At the first RTH bar, two dashed lines are drawn: Green line above the RTH Open (Open + ADR). Red line below the RTH Open (Open – ADR). Dynamic Extension: As new bars appear, the lines are automatically extended to the current bar, keeping their Y‑values constant. This ensures the levels remain visible throughout the session. ✅ What Users See A green dashed line above the RTH Open, marking the typical upside boundary. A red dashed line below the RTH Open, marking the typical downside boundary. Both lines start at the first RTH bar and extend to the latest bar of the session. This helps traders quickly assess whether price action is staying within or breaking beyond the typical daily range relative to the RTH Open.
Pine Script® indicator
by BaumFloh
KOBK ORB - Dynamic Opening Range Breakout# KOBK ORB - Dynamic Opening Range Breakout ## What is KOBK ORB? KOBK ORB is a professional-grade **Opening Range Breakout (ORB)** indicator designed for intraday traders. It automatically detects and tracks opening ranges during the first 5, 15, 30, and 60 minutes of the trading session, then signals when price breaks out of these ranges with advanced filtering. --- ## Key Features ✅ **Multi-Stage ORB Levels** - Tracks 5, 15, 30, and 60-minute opening ranges simultaneously ✅ **Automatic Breakout Detection** - Identifies when price breaks above/below ORB levels with visual labels ✅ **Retest Identification** - Shows when price returns to test ORB after breaking out (re-entry opportunities) ✅ **Smart Filters** - Volume, Trend, and Higher Timeframe bias filters to reduce false signals ✅ **Position Sizing** - Calculates shares to buy based on your risk management rules (fixed risk $ or % of account) ✅ **Automatic TP/SL Levels** - Displays entry, stop loss, and take profit targets (1R, 1.5R, 2R, 3R options) ✅ **Real-Time Dashboard** - Shows session stats, breakout counts, volatility meter, and trade performance ✅ **Risk/Reward Display** - Calculates R/R ratio for every trade setup --- ## How to Use ### 1. **Setup** - Apply indicator to **5-minute chart** during regular trading hours - Set your account size and risk per trade in settings - Enable/disable ORB stages (5, 15, 30, 60 min) based on your strategy ### 2. **Read the ORB Levels** - Yellow lines = ORB5 (first 5 minutes) - Green lines = ORB15 (first 15 minutes) - Blue lines = ORB30 (first 30 minutes) - Purple lines = ORB60 (first 60 minutes) - Watch for breakouts above the HIGH or below the LOW ### 3. **Take Breakout Signals** - **Green UP label** = Price broke above ORB High (long signal) - **Red DOWN label** = Price broke below ORB Low (short signal) - Entry price, stop loss, and profit targets appear automatically - Check dashboard for Volume, Trend, and HTF bias confirmation ### 4. **Trade Management** - **Entry** = Breakout level (shown as cyan/orange line) - **Stop Loss** = Red line (calculated by your stop method) - **Take Profits** = Green lines (1R, 2R, 3R options) - Lines freeze when last TP hits or SL is touched ### 5. **Monitor Dashboard** - **Volume Status** = Shows if breakout has volume confirmation - **Trend Filter** = Shows if price is in bullish/bearish trend - **HTF Bias** = Shows if higher timeframe supports your trade - **Daily Stats** = Tracks breakouts, retests, failed breaks today - **Position Size** = Max shares to buy to stay within your risk --- ## Settings Guide ### Essential Settings - **Enable ORB 5/15/30/60** - Choose which timeframes to track - **Risk Mode** - Set risk per trade ($ amount or % of account) - **Account Size** - Your total trading capital - **Stop Method** - ATR, ORB %, Swing, or Smart Adaptive ### Filters (Optional but Recommended) - **Volume Filter** - Requires minimum volume for breakout confirmation - **Trend Filter** - Only takes breakouts aligned with trend - **Higher Timeframe** - Checks daily trend before taking signals ### Display - **Show Background** - Fills ORB range with color - **Show Edge Labels** - Labels at ORB high/low - **Show TP/SL Lines** - Displays profit targets on chart - **Show Dashboard** - Real-time trade info panel --- ## Best Practices 🎯 **Best for:** Liquid stocks with >1M daily volume (SPY, QQQ, individual stocks) ⏰ **Best time:** 9:30-11:30 AM EST (first 2 hours when liquidity is highest) 📊 **Recommended:** Use on 5-minute charts for optimal signal quality ⚠️ **Risk Management:** Never risk more than 1-2% of account per trade 💡 **Tip:** Check HTF bias (daily trend) before taking signals - breakouts WITH trend have higher success rate ❌ **Avoid:** Choppy/ranging markets, low-volume stocks, earnings days --- ## Example Trade **Scenario: LONG Breakout** 1. Market opens 9:30 AM 2. ORB5 is $100-$101 (range = $1) 3. Price breaks above $101 at 9:35 AM → **GREEN UP LABEL** appears 4. Dashboard shows: Entry $101.20, SL $100.50, TP1 $102.20 (+1R), TP2 $103.20 (+2R) 5. Position sizing shows: 150 shares max ($150 risk ÷ $1 stop distance) 6. Watch the green line extend as price rallies 7. Exit at TP1 ($102.20) for +$150 profit, or hold for TP2 (+$300 profit) 8. If SL hits, max loss = $150 (1R) --- ## Important Notes ⚠️ **Educational Use** - This indicator is for learning and strategy development 📈 **Paper Trade First** - Test on paper trading before risking real money 🔔 **Alerts Available** - Set up alerts for breakouts, retests, and failed breaks 💾 **Customize** - All colors, timeframes, and levels are adjustable --- ## Disclaimer This indicator is for **educational and informational purposes only**. It does not constitute financial advice. Trading involves substantial risk of loss. Past performance does not guarantee future results. Always do your own research and consult with a financial advisor before trading.
Pine Script® indicator
by claudecurry23
Previous Day & Week Highs and LowsOverlay indicator that plots horizontal lines for the previous day’s and previous week’s highs and lows. Lines extend until the next period starts, so you can see these levels throughout the current day or week. The indicator detects new daily and weekly sessions and draws lines at the previous period’s high and low. Daily levels use green (high) and red (low); weekly levels use blue (high) and magenta (low). You can toggle daily/weekly independently, customize colors, and adjust line width. It works on intraday timeframes and helps identify support/resistance and track breakouts relative to prior periods.
Pine Script® indicator
by camren_browne