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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® 라이브러리
Unicorpus의
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® 라이브러리
Unicorpus의
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® 인디케이터
frimpongnicholas589의
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® 인디케이터
BaumFloh의
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® 인디케이터
camren_browne의
5 Moving Averages – Custom Trend Colors + No Neutral Mode5 Moving Averages Pro – Custom Trend Colors + No Neutral Mode The cleanest and most professional 5-MA bundle on TradingView. Features: • 5 fully customizable moving averages (period + type: SMA, EMA, WMA, HMA, VWMA) • All 5 MAs instantly change color based on global trend: – Green → price above ALL 5 MAs (strong bullish) – Red → price below ALL 5 MAs (strong bearish) – Optional neutral gray (or completely disable neutral mode) • Fully customizable bullish, bearish and neutral colors • Optional background coloring (very light & clean) • Trend change arrows (only on real bullish/bearish confirmation) • "No Neutral" mode → forces green/red even in sideways markets (price vs average of the 5 MAs) Perfect for: • Trend-following systems • Clean chart setups • Scalping, day trading & swing trading • Confirming institutional bias Zero repainting | Super lightweight | Works on all timeframes & markets One of the most loved multi-MA indicators worldwide. Join 250K+ traders already using it daily!
Pine Script® 인디케이터
TajanDamien의
BC_Monthly Strength Armor [xAI] - v32.2 MTF LOCKED + SCORE FIXED🛡️ **Monthly Strength Armor - v32.2** **Multi-Timeframe Institutional Edge Indicator** 🔥 **Detects smart money moves** using: - **Monthly Range Position (Score 0–100)** - **Higher High/Low Trend Structure (Daily/Weekly/Monthly)** - **OBV Trend Lock (100% consistent)** - **Larry Williams OHLC Institutional Patterns (Daily)** 📊 **MTF Table (locked values — no flicker)** | Daily | Weekly | Monthly | |-------|--------|---------| | OBV | Trend | Score | | ATR% | Larry | PMH/PML | 🎯 **Confluence Alerts** - **3-TF Bullish / Bearish** - **ULTRA BUY/SELL** (all TFs aligned) - **Larry Institutional Buying/Selling** ✅ **No repaint | No warnings | Live-ready** Built for **NVDA, MSFT, URA, QQQ, SPY** *By @TedPrime x Grok @ xAI*
Pine Script® 인디케이터
bogdanchirilais의
Smart Money Flow PRO + MFI [PERCENT]Smart Money Flow PRO + MFI Indicator Professional Smart Money Tracking with Multi-Timeframe Analysis This advanced indicator combines volume analysis, money flow, and smart money detection to identify high-probability trade setups. Perfect for traders who want to follow institutional money flow. 🎯 KEY FEATURES: 📊 SMART MONEY DETECTION: Volume Delta analysis (bullish/bearish volume tracking) Cumulative Delta with trend detection Smart Money Power formula combining multiple factors Open Interest simulation for market depth 📈 MULTI-CONFIRMATION SYSTEM: Money Flow Index (MFI) with custom overbought/oversold zones Bullish/Bearish Divergence detection Convergence signals for trend confirmation Real-time market state analysis 🎨 PROFESSIONAL VISUALS: Percentage-based table showing all metrics in 0-100% scale Color-coded strength indicators (Strong/Medium/Weak) Oscillator window with MFI, Delta, and Power histograms Clean, organized layout with intuitive icons ⚡ TRADING SIGNALS: STRONG BUY/SELL alerts with multiple confirmations Divergence/convergence visual markers on chart Real-time entry signals with strength classification Customizable alert conditions 🔄 FLEXIBLE SETTINGS: Adjustable MFI parameters Custom volume thresholds Divergence sensitivity controls Complete color customization Perfect for: Day traders, swing traders, and anyone wanting to track institutional money flow with professional-grade analytics. All calculations in percentages for instant readability and decision-making.
Pine Script® 인디케이터
shak_darya23의
RSI + BB + ATR Short SignalThis indicator highlights potential short setups by combining three conditions: RSI Overbought – RSI must be above the user-defined level. Bollinger Band Break – Price must close above the upper Bollinger Band. Extended Above the 5-Day Low – Price must sit at least X ATR above the recent 5-day low. When all conditions line up on the same bar, the script plots a red triangle above the candle and triggers an alert so you can act immediately. To help visualise the setup, the script also plots the full Bollinger Bands (upper, middle, lower) and a line showing the threshold of 5-day-low + ATR × multiplier. You can adjust RSI length and level, Bollinger settings, ATR length, and the ATR multiplier.
Pine Script® 인디케이터
volatility_Viking의
WeAxes MTF Scalper [LITE] WeAxes MTF Scalper Professional Multi-Timeframe Alignment Tool - LITE Version What This LITE Version Offers: 3-Timeframe Sync: Monitor 1min, 15min, and 1hr trends simultaneously Visual Alignment System: Color-coded candles for perfect setups Quick Setup Recognition: Instant HIGH/MEDIUM/LOW quality ratings Clean Data Display: Essential alignment information at a glance Perfect for Scalping: Green Candles: Perfect bullish alignment across all timeframes Red Candles: Perfect bearish alignment across all timeframes Setup Quality: Know immediately if conditions are favorable Multi-Timeframe Context: Never trade blind again How to Use: 1. HIGH Quality Setups (Green/Red candles): Highest probability trades 2. MEDIUM Quality: All trends aligned, good for trend following 3. LOW Quality: Mixed signals, better to wait for alignment PRO Version Includes: - Advanced volume profiling across all timeframes - Momentum strength calculations - Detailed market structure analysis - Smart Money Concepts integration - Complete volume analysis - And much more... This LITE version gives you a taste of professional multi-timeframe analysis. Contact for PRO version access with full features. Disclaimer: Use proper risk management. This tool assists analysis but doesn't guarantee profits.
Pine Script® 인디케이터
WeAxes의
Net Profit Margin %📌 Net Profit Margin % Indicator — Short Explanation This indicator calculates and displays a company’s Net Profit Margin (NPM) using its financial statements. What it does: Pulls Net Income and Total Revenue from the company’s quarterly (FQ) or yearly (FY) financials. Calculates: Net Profit Margin = (Net Income / Revenue) × 100 Plots the NPM% as a line chart. Background turns green when margin is positive and red when negative. Shows the latest NPM value in a small info table on the chart. Purpose: Helps you quickly see whether a company is profitable and how its profit margin is trending over time.
Pine Script® 인디케이터
YCGH_Capital의
Auto Trend Channel [TCMaster]This indicator automatically identifies key swing highs and lows to draw dynamic trend channels on your chart. It works on the current timeframe or any higher timeframe of your choice. The trend channel is extended into the future to help visualize potential price movement. Features: Detects significant pivot highs and pivot lows based on configurable sensitivity. Automatically plots an upper resistance line and a lower support line to form a trend channel. Extends the trend channel into the future by a configurable number of bars. Optionally supports higher timeframe analysis to smooth out price action. Fills the area between the upper and lower trend lines for better visualization. Inputs: Pivot Sensitivity: Number of bars used to detect pivot highs/lows. Higher values filter out minor swings. Extend Future (bars): How many bars the trend lines should be extended forward. Timeframe: Choose a higher timeframe to calculate pivots, or leave blank to use the current chart timeframe. Usage: Use this indicator to visually identify trending price channels and potential support/resistance zones. It can be helpful for trend trading, breakout strategies, and swing analysis.
Pine Script® 인디케이터
TCMaster의
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