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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
Perpustakaan Pine Script®
oleh Unicorpus
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.
Perpustakaan Pine Script®
oleh Unicorpus
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
Indikator Pine Script®
oleh 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.
Indikator Pine Script®
oleh BaumFloh
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.
Indikator Pine Script®
oleh camren_browne
IDRV – Market Structure & Projection ("cup and handle")1. Market Context 1. IDRV has completed a multi-month bottoming structure resembling a rounded accumulation base. 2. Price has broken above local resistance, confirming a bullish shift in trend. 3. RSI signals alternating bear/bull divergences, showing momentum compression before expansion. 2. Accumulation & Breakout Structure 4. Multiple higher lows since early 2024 indicate sustained accumulation. 5. The breakout above the neckline marks the beginning of an upward trend cycle. 6. Volume and structure support continuation rather than a fake-out. 3. Bullish Continuation Zone 7. The chart highlights a bullish expansion zone between $38 and $42. 8. Holding above this zone confirms trend strength and supports further upside. 9. A clean retest in this area offers a high-probability reload opportunity. 4. Projection Target 10. The projected upside shows a potential +56% move, targeting the $48–$52 region. 11. This aligns with previous supply zones and Fibonacci extension symmetry. 12. Price is expected to follow an ascending impulse pattern into 2026. 5. Risk Management 13. Invalidations occur below the $34–$35 support band where trend structure breaks. 14. A loss of this zone signals a likely return to the accumulation range. 15. Watch RSI bear signals during the climb for early signs of exhaustion. 6. Summary 16. Rounded base → Breakout → Retest → Expansion. 17. Structure supports continued bullish momentum into 2026. 18. Target zone remains $48–$52 if support is maintained.
Indikator Pine Script®
oleh Tomerrevaya
ATR EMA Bands (Kerry Lovvorn Style) - Fixed Scale//@version=5 indicator("ATR EMA Bands (Kerry Lovvorn Style) - Fixed Scale", overlay = true, scale = scale.right, // ⭐ 强制使用右侧价格刻度 precision = 2) // ——— 参数 ——— src = input.source(close, "Source") emaLength = input.int(34, "EMA Length") atrLength = input.int(13, "ATR Length") atrMult1 = input.float(1.0, "ATR ×1") atrMult2 = input.float(2.0, "ATR ×2") atrMult3 = input.float(3.0, "ATR ×3") // ——— 计算 ——— ema = ta.ema(src, emaLength) atr = ta.atr(atrLength) // 上下轨 upper1 = ema + atr * atrMult1 upper2 = ema + atr * atrMult2 upper3 = ema + atr * atrMult3 lower1 = ema - atr * atrMult1 lower2 = ema - atr * atrMult2 lower3 = ema - atr * atrMult3 // ——— 绘图 ——— plot(ema, "EMA", color = color.white, linewidth = 2) plot(upper1, "Upper 1×ATR", color = color.new(color.green, 0)) plot(upper2, "Upper 2×ATR", color = color.new(color.green, 30)) plot(upper3, "Upper 3×ATR", color = color.new(color.green, 60)) plot(lower1, "Lower 1×ATR", color = color.new(color.red, 0)) plot(lower2, "Lower 2×ATR", color = color.new(color.red, 30)) plot(lower3, "Lower 3×ATR", color = color.new(color.red, 60)) // ——— 可选：在当前 K 线上标记数值，方便你肉眼对比 ——— showDebug = input.bool(false, "Show Debug Labels (for checking value vs position)") if showDebug var label lb = na if barstate.islast label.delete(lb) txt = "EMA: " + str.tostring(ema, format.mintick) + " " + "U1: " + str.tostring(upper1, format.mintick) + " " + "U2: " + str.tostring(upper2, format.mintick) + " " + "U3: " + str.tostring(upper3, format.mintick) lb := label.new(bar_index, upper1, txt, style = label.style_label_right, textcolor = color.white, color = color.new(color.black, 40))
Indikator Pine Script®
oleh zvvgpbe
KZones Global Market Insight: Timezone moving marketsModern financial markets trade 24 hours a day, making it hard to track where the action is happening. Do you wonder who is driving price action across Asia, Europe, and the Americas? This indicator lets you visualize the trading activity of different geographic sessions. For example, you can quickly see the recent move in Bitcoin was initiated by Americas selling down, represented by a large, downward-facing box. Asia and Europe followed through with more selling. Start tracking the world's market movers today! Note: This was inspired by ICT Killzones & Pivots
Indikator Pine Script®
oleh accutrades_net
MACD Divergence Optimizer# MACD Divergence Optimizer - User Guide ## Overview The **MACD Divergence Optimizer** is a professional-grade technical analysis indicator for TradingView that automatically detects hidden divergences on MACD with volume weighting. It identifies potential reversal points before price action confirms the move, giving traders an early edge. --- ## What is Divergence? A **divergence** occurs when price and an oscillator (like MACD) move in opposite directions: - **Bullish Divergence**: Price makes a lower low, but MACD makes a higher low → Potential uptrend reversal - **Bearish Divergence**: Price makes a higher high, but MACD makes a lower high → Potential downtrend reversal Divergences are among the most reliable reversal signals in technical analysis. --- ## Indicator Features ### Volume-Weighted MACD - Standard MACD is calculated on closing price - This indicator uses **volume-weighted closing prices** for greater accuracy - Formula: MACD = (Volume-Weighted EMA₁₂ - Volume-Weighted EMA₂₆) - Volume weighting gives more importance to high-conviction price moves ### Automatic Swing Detection - Detects local highs and lows (5-bar lookback) - Tracks the last 5 swings for divergence analysis - Only meaningful swings are tracked (filtered for noise) ### Smart Signal Generation - Green triangle (▲) = Bullish Divergence (BUY signal) - Red triangle (▼) = Bearish Divergence (SELL signal) - Triangles appear directly on the MACD line for precise entry timing ### Built-in Alerts - Real-time notifications for divergence signals - Alerts can trigger mobile push notifications or sound - Never miss a trading opportunity --- ## How to Use ### Installation 1. Open TradingView and navigate to the Chart 2. Click "Indicator" → Search "MACD Divergence Optimizer" 3. Click "Add to Chart" 4. The indicator appears in a separate panel below the price chart ### Reading the Indicator **MACD Panel displays:** - **Blue Line** = MACD (fast momentum) - **Orange Line** = Signal line (slow momentum) - **Histogram** (colored bars) = Difference between MACD and Signal - Green bars = MACD above signal (bullish) - Red bars = MACD below signal (bearish) **Divergence Signals:** - **Green Triangle ▲** = Bullish divergence detected - Price is lower, but MACD momentum is strengthening - Look for uptrend reversal - Confirm with higher closes or volume - **Red Triangle ▼** = Bearish divergence detected - Price is higher, but MACD momentum is weakening - Look for downtrend reversal - Confirm with lower closes or selling volume --- ## Parameters & Settings ### MACD Fast Length (Default: 12) - Controls the faster moving average period - **Lower values** → More responsive, more false signals - **Higher values** → Smoother, fewer signals - **Typical range**: 8-15 ### MACD Slow Length (Default: 26) - Controls the slower moving average period - **Lower values** → Faster divergence detection - **Higher values** → More reliable, fewer signals - **Typical range**: 20-35 ### Signal Smoothing (Default: 9) - EMA period applied to MACD itself - **Lower values** → Faster crossover signals - **Higher values** → Fewer false crossovers - **Typical range**: 5-15 ### Min Divergence Strength (Default: 0.5%) - Minimum % difference between current MACD and swing MACD - **Lower values** → More divergence signals (noisier) - **Higher values** → Only strong divergences (fewer signals) - **Recommended**: 0.3% - 1.0% ### Lookback Bars (Default: 75) - Historical window for analysis - Larger lookback = more context but slower calculation - **Typical range**: 50-100 --- ## Trading Strategy ### Bullish Divergence (Entry Setup) 1. **Identify Signal**: Green triangle appears on MACD 2. **Confirm Price**: Look for price rejection of the low (bounce) 3. **Volume Check**: Buy on increase in volume at the bounce 4. **Entry**: Above the swing low level 5. **Stop Loss**: Below the most recent swing low 6. **Target**: Next swing high or resistance level ### Bearish Divergence (Entry Setup) 1. **Identify Signal**: Red triangle appears on MACD 2. **Confirm Price**: Look for price rejection of the high 3. **Volume Check**: Sell on increase in volume at rejection 4. **Entry**: Below the swing high level 5. **Stop Loss**: Above the most recent swing high 6. **Target**: Next swing low or support level ### Risk Management - **Position Size**: Risk only 1-2% per trade - **Stop Loss**: Place beyond recent swings - **Take Profit**: Scale out at 1:1, 1:2, 1:3 risk-reward ratios - **Filter**: Use on higher timeframes (4H, Daily) for reliability --- ## Timeframe Recommendations | Timeframe | Best For | Signal Quality | |-----------|----------|---| | **1H** | Scalping, day trading | Moderate (some noise) | | **4H** | Swing trading | Excellent | | **Daily** | Position trading | Excellent | | **Weekly** | Long-term trends | Excellent | --- ## Tips & Best Practices ### ✅ DO: - **Use on trends**: Divergences work best when there's a clear trend - **Combine signals**: Look for confirmation from price action, volume, or moving averages - **Trade the bounce**: Wait for price to react to the swing, then enter - **Adjust parameters**: Test different MACD lengths for your trading style - **Use alerts**: Set up mobile alerts so you don't miss signals ### ❌ DON'T: - **Trade every signal**: Some signals are stronger than others - **Trade flat/choppy markets**: Divergences fail in ranging markets - **Ignore support/resistance**: Trade divergences near key levels for best results - **Over-leverage**: Divergences are probabilistic, not guaranteed - **Disable volume analysis**: Always check volume when divergence fires --- ## Advanced Features ### Volume Weighting The indicator uses **volume-weighted MACD** instead of standard MACD. This means: - High-volume reversals get more emphasis - Low-volume moves are smoothed out - More accurate momentum readings - Better at identifying true trend changes ### Array Tracking The indicator tracks the last 5 swings in arrays: - `swingLows ` = last 5 price lows - `swingHighs ` = last 5 price highs - `swingMacds ` = corresponding MACD values This allows detection of **hidden divergences** not visible in traditional analysis. --- ## Common Questions **Q: Why didn't the indicator trigger a signal when I see a divergence?** A: The indicator may require: - MACD histogram to cross the zero line (confirms momentum shift) - Minimum strength threshold to be met (adjust Min Divergence Strength) - At least 5 swings to be recorded in the lookback window **Q: Can I use this on all timeframes?** A: Yes, but divergences are more reliable on higher timeframes (4H+). Lower timeframes produce more signals but with more noise. **Q: Should I trade every green/red triangle?** A: No. Use them as a heads-up for potential reversals. Always confirm with: - Price action (rejection of the swing) - Volume (increasing volume at reversal) - Key support/resistance levels **Q: How do I set alerts?** A: 1. Right-click the indicator → Edit Alerts 2. Check "Bullish Divergence" and/or "Bearish Divergence" 3. Choose notification type (browser, mobile, email) 4. Set frequency to "Once per bar close" **Q: What's the difference between regular and hidden divergence?** A: This indicator detects **hidden divergences** (also called continuation divergences): - **Regular**: Price makes new extreme, but oscillator doesn't - **Hidden**: Price makes new extreme, oscillator makes new extreme in different direction - Hidden divergences are often more reliable for continuation plays --- ## Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Past performance does not guarantee future results. Always use proper risk management and combine with other analysis methods. Trading and investing carry risk of loss. Do your own research before making trading decisions. --- ## Support & Updates For issues, feature requests, or questions: - Check the indicator settings and parameter values - Test on historical data first before live trading - Adjust parameters to match your trading style and timeframe --- **Version**: 1.0 **Last Updated**: November 2025 **Compatible**: TradingView v6+
Indikator Pine Script®
oleh srinarayanant
ZFX Prime Trend Matrix PRO – Zumiko FX📌 ZFX Prime Trend Matrix PRO – Zumiko FX ZFX Prime Trend Matrix PRO is a multi-timeframe trend dashboard designed by Zumiko FX to give traders an instant, complete market overview. It analyzes six key timeframes simultaneously and displays trend direction, band positioning, momentum, volatility and alignment — all in one clean, horizontal table. This matrix is made to simplify decision-making and help traders instantly identify when multiple timeframes agree on a market direction. 🔹 What the Matrix Shows The dashboard updates in real time and displays: 1. Trend Direction UP / DOWN / Neutral for each timeframe (M1, M5, M15, H1, H4, D1). 2. Bands Position (Prime Bands) Shows whether price is: Above Fast Band Below Fast Band Above Slow Band Below Slow Band Inside range Perfect for spotting breakouts and trend continuation zones. 3. RSI (Momentum Strength) Color-coded RSI readings help detect overbought/oversold and neutral momentum. 4. Stochastic (Timing Tool) Reads market timing with Stoch K/D movements. Highlights when a trend aligns with momentum. 5. ATR Bias Instant view of volatility pressure: LONG SHORT Neutral Great for filtering entries. 6. HTF Alignment Shows whether each timeframe is aligned with the next higher timeframe. A powerful trend continuation filter used by advanced traders. 7. Trading Signal Zone Final synthesised signal: BUY ZONE → Strong bullish alignment SELL ZONE → Strong bearish alignment NO TRADE → Conditions not optimal This allows traders to quickly identify “green light” moments across the trend structure. 🔹 Why This Matrix Is Powerful ✔ Shows 6 timeframes at once ✔ Helps confirm entries from other indicators ✔ Reveals hidden contradictions in trend ✔ Perfect for scalpers and day traders who need fast confirmation ✔ Works with any strategy as a high-level filter ✔ Clean, minimalistic, professional UI 🔹 Who Is It For? Scalpers Day traders Swing traders Traders using trend-following strategies Traders who want a clean, high-level overview 🔹 About Zumiko FX Developed by Zumiko FX, known for precision-based systems and advanced multi-timeframe tools for serious traders.
Indikator Pine Script®
oleh kodik19788
Candlestick toolkit (Candle Over Candle)Candlestick pattern toolkit focused on reading price action via candle anatomy, body dynamics, and a specific 2-bar continuation/reversal pattern. This indicator highlights: Long upper and lower wicks (“topping” and “bottoming” tails) that can signal exhaustion or potential reversal. Large bullish bodies relative to Average True Range (ATR), showing strong momentum. Sequences of large green candles. Runs of green candles with strictly increasing or strictly decreasing body size, to visualize acceleration vs. momentum fade. A two-candle pattern: “Candle over Candle” (CoC) for long bias: two bullish bars where the first has a small upper wick and the second has a modest lower wick (a brief dip then push higher). Optional mirrored “Candle under Candle” (CuC) for short bias. The script labels: Topping/Bottoming tails (TT/BT). Large-green sequences and increasing/decreasing bodies (N×LG, ↑B, ↓B). CoC/CuC pattern bars as “PRE” and the actual breakout bars as “GO”. While a pattern is “live,” a reference line marks the trigger level (pattern high for longs, pattern low for shorts). Inputs let you: Tune wick and body percentage thresholds for tail detection. Adjust ATR length and the multiplier that defines a “large” body. Change how many candles are required for large-green sequences and body size trends. Configure the two-candle pattern (maximum wick sizes, whether a small dip is required, confirmation within N bars). Choose confirmation mode: close-through the trigger or intrabar wick break. Enable or disable the short (CuC) side. Control visual features (tail markers, sequence markers, pattern labels, and background shading on pattern bars). Typical use: Apply on intraday or swing timeframes. Use tails and body behavior to read strength/weakness and potential exhaustion. Treat CoC/CuC PRE labels as pattern formation, and GO labels as potential trade triggers above/below the pattern. Combine with your own filters (trend, volume, higher-timeframe levels) rather than using it as a standalone signal generator.
Indikator Pine Script®
oleh DayTradingMD1992
Sav Fx Dynamic P & D°//@version=5 indicator("Sav Fx Dynamic P & D°", overlay = true, max_boxes_count = 50, max_labels_count = 2, max_lines_count = 10) // Global Settings (visible) customLineColor = input.color(#000000, "True Open", group = "Global Settings") // Input for custom sessionTypeText size and width sessionTypeTextSize = input.string("small", "Session Type Text Size", options= , group="Text Settings") // On/Off switches for each open line show90MinuteCycleOpen = input.bool(true, "90 Minute Cycle Open", group="Open Lines") showTrueNewYorkOpen = input.bool(true, "True New York Open", group="Open Lines") showTrueDayOpen = input.bool(true, "True Day Open", group="Open Lines") showTrueWeekOpen = input.bool(true, "True Week Open", group="Open Lines") showTrueMonthOpen = input.bool(false, "True Month Open", group="Open Lines") IsTime(h, m, timezone) => not na(time) and hour(time, timezone) == h and minute(time, timezone) == m IsSession(sess, timezone) => not na(time(timeframe.period, sess, timezone)) is6_00Session = IsSession("0600-0730", "America/New_York") is7_30Session = IsSession("0730-0900", "America/New_York") is9_00Session = IsSession("0900-1030", "America/New_York") is10_30Session = IsSession("1030-1200", "America/New_York") var MOPLine = line.new(na, na, na, na, color = customLineColor, width = 1, style = line.style_dashed) var MOPLabel = label.new(na, na, text = "True Day Open", color = color.rgb(120, 123, 134, 100), textcolor = customLineColor, size = size.small, style = label.style_label_left) var float trueDayOpen = na if showTrueDayOpen if IsTime(0, 0, "America/New_York") line.set_xy1(MOPLine, bar_index, open) line.set_xy2(MOPLine, bar_index, open) label.set_xy(MOPLabel, bar_index, open) trueDayOpen := open if barstate.islast line.set_x2(MOPLine, bar_index + 20) label.set_x(MOPLabel, bar_index + 20) else line.delete(MOPLine) label.delete(MOPLabel) var NYTrueOpenLine = line.new(na, na, na, na, color = customLineColor, width = 1, style = line.style_dashed) var NYTrueOpenLabel = label.new(na, na, text = "True New York Open", color = color.rgb(105, 130, 218, 100), textcolor = customLineColor, size = size.small, style = label.style_label_left) var float NYTrueOpen = na if showTrueNewYorkOpen if IsTime(1, 30, "America/New_York") or IsTime(7, 30, "America/New_York") or IsTime(13, 30, "America/New_York") line.set_xy1(NYTrueOpenLine, bar_index, open) line.set_xy2(NYTrueOpenLine, bar_index, open) label.set_xy(NYTrueOpenLabel, bar_index, open) NYTrueOpen := open if IsTime(1, 30, "America/New_York") label.set_text(NYTrueOpenLabel, "True London Open") if IsTime(7, 30, "America/New_York") label.set_text(NYTrueOpenLabel, "True New York Open") if IsTime(13, 30, "America/New_York") label.set_text(NYTrueOpenLabel, "True PM Session Open") if barstate.islast line.set_x2(NYTrueOpenLine, bar_index + 20) label.set_x(NYTrueOpenLabel, bar_index + 20) else line.delete(NYTrueOpenLine) label.delete(NYTrueOpenLabel) var lookahead_bars = 20 var MondayLine = line.new(na, na, na, na, color = customLineColor, width = 1, style = line.style_dashed) var MondayLabel = label.new(na, na, text = timeframe.isintraday and timeframe.multiplier >= 5 ? "True week Open" : "", color = #9b27b000, textcolor = customLineColor, size = size.small, style = label.style_label_left) if showTrueWeekOpen if dayofweek == dayofweek.monday and IsTime(18, 0, "America/New_York") line.set_xy1(MondayLine, bar_index, close) line.set_xy2(MondayLine, bar_index, close) label.set_xy(MondayLabel, bar_index, close) if barstate.islast line.set_x2(MondayLine, bar_index + lookahead_bars) label.set_x(MondayLabel, bar_index + lookahead_bars) else line.delete(MondayLine) label.delete(MondayLabel) var ninetyMinuteCycleLine = line.new(na, na, na, na, color = customLineColor, width = 1, style = line.style_dashed) var ninetyMinuteCycleLabel = label.new(na, na, text = "90 Minute Cycle True Open", color = #4caf4f00, textcolor = customLineColor, size = size.small, style = label.style_label_left) if show90MinuteCycleOpen if IsTime(3, 23, "America/New_York") or IsTime(9, 23, "America/New_York") or IsTime(15, 23, "America/New_York") line.set_xy1(ninetyMinuteCycleLine, bar_index, open) line.set_xy2(ninetyMinuteCycleLine, bar_index, open) label.set_xy(ninetyMinuteCycleLabel, bar_index, open) if IsTime(3, 23, "America/New_York") label.set_text(ninetyMinuteCycleLabel, "03:23 Cycle True Open") if IsTime(9, 23, "America/New_York") label.set_text(ninetyMinuteCycleLabel, "09:23 Cycle True Open") if IsTime(15, 23, "America/New_York") label.set_text(ninetyMinuteCycleLabel, "15:23 Cycle True Open") if barstate.islast line.set_x2(ninetyMinuteCycleLine, bar_index + lookahead_bars) label.set_x(ninetyMinuteCycleLabel, bar_index + lookahead_bars) else line.delete(ninetyMinuteCycleLine) label.delete(ninetyMinuteCycleLabel) var monthOpenLine = line.new(na, na, na, na, color = customLineColor, width = 1, style = line.style_dashed) var monthOpenLabel = label.new(na, na, text = "True Month Open", color = #ff990000, textcolor = customLineColor, size = size.small, style = label.style_label_left) isSecondWeekSunday = dayofweek == dayofweek.sunday and (dayofmonth >= 8 and dayofmonth <= 14) if showTrueMonthOpen if isSecondWeekSunday and IsTime(18,0, "America/New_York") line.set_xy1(monthOpenLine, bar_index, close) line.set_xy2(monthOpenLine, bar_index + lookahead_bars, close) label.set_xy(monthOpenLabel, bar_index, close) if barstate.islast line.set_x2(monthOpenLine, bar_index + lookahead_bars) label.set_x(monthOpenLabel, bar_index + lookahead_bars) else line.delete(monthOpenLine) label.delete(monthOpenLabel) directionalBias = "N/A" if is6_00Session or is7_30Session or is9_00Session or is10_30Session directionalBias := open > NYTrueOpen ? "Bullish" : "Bearish" var directionalBiasLabel = label.new(na, na, text = "Directional Bias: " + directionalBias, color = na, textcolor = customLineColor, size = size.normal, style = label.style_label_left) if barstate.islast label.set_x(directionalBiasLabel, bar_index + lookahead_bars) label.set_text(directionalBiasLabel, "Directional Bias: " + directionalBias) var float WeekOpen = na if dayofweek == dayofweek.monday and IsTime(18, 0, "America/New_York") WeekOpen := close if showTrueWeekOpen line.set_xy1(MondayLine, bar_index, close) line.set_xy2(MondayLine, bar_index, close) label.set_xy(MondayLabel, bar_index, close) // New table for static session type display var sessionTable = table.new(position.bottom_right, 1, 1, bgcolor = #b9b9bab8) // Update the table.cell function call if barstate.islast and not na(trueDayOpen) and not na(NYTrueOpen) and not na(WeekOpen) var string sessionTypeText = syminfo.ticker + " Dead Zone" var color sessionColor = color.rgb(126, 126, 126, 65) // Check conditions and set session type text and color accordingly if close < trueDayOpen and close < NYTrueOpen and close < WeekOpen sessionTypeText := syminfo.ticker + " Week Discount" sessionColor := #ba4b4b59 else if close > trueDayOpen and close > NYTrueOpen and close > WeekOpen sessionTypeText := syminfo.ticker + " Week Premium" sessionColor := #4b56ba5a else if close < trueDayOpen and close < NYTrueOpen and close > WeekOpen sessionTypeText := syminfo.ticker + " Day Discount & Week Dead Zone" sessionColor := #ba4b4b59 else if close > trueDayOpen and close > NYTrueOpen and close < WeekOpen sessionTypeText := syminfo.ticker + " Day premium & Week Dead Zone" sessionColor := #4b56ba5a // Using only size input for session type text table.cell(sessionTable, 0, 0, sessionTypeText, bgcolor = sessionColor, text_color = color.black, text_size = sessionTypeTextSize)
Indikator Pine Script®
oleh Roni84
Ultra Strong Key Levels Ultra Strong Key Levels (Volume-Highlighted, Scalable) This indicator automatically detects very strong support and resistance levels using high-strength pivots combined with clustered volume analysis. It highlights only the most meaningful levels — those backed by significant volume activity — and visually scales each level based on its importance. How It Works Identifies strong pivot highs and lows using a customizable pivot strength. Calculates clustered volume around each pivot to determine how important that level is. Filters out weak levels by requiring volume around the pivot to exceed a dynamic threshold. Draws each valid level with: Adaptive line width (higher volume = thicker line) Dynamic color intensity (higher volume = brighter line) Keeps the chart clean by storing only the 10 most recent strong highs and lows. Inputs Pivot Strength — Defines how strong a pivot must be to qualify. Larger values = fewer but more reliable levels. Volume Multiplier — Adjusts sensitivity to volume around the pivot. Volume Window — Number of bars before and after the pivot used to calculate cluster volume. Max Line Width — Upper limit for level thickness. What This Indicator Shows Red levels = Strong resistance zones (pivot highs with heavy volume) Green levels = Strong support zones (pivot lows with heavy volume) Thicker and more intense lines represent higher trading activity, meaning the level is more likely to impact price behavior. Use Cases Spot high-value reversal zones Identify institutional reaction levels Confirm key breakout/ breakdown points Combine with trend tools or volume profile for enhanced precision If you'd like, I can also create: ✓ A shorter version ✓ SEO-optimized TradingView description ✓ A version formatted with bullets, emojis, or markdown style
Indikator Pine Script®
oleh Bonavivitalik
1
RSI Curl 52/48 UpdatedI have change My Original RSI Curl Indicator this now plots the RSI In a separate pane and gives buy and sell signals on the RSI I use It with Support and resistance and with My MTF with DXY and ADR Filter I only will trade in the Direction of the MTF the Large Triangle on the chart are from The MTF Letting you know all Timeframe Directions Turn off the DXY Filter if not Trading Gold and It is better to monitor the 30 min to one Hour chart as better signals you can then trade on 15m 5 m or any timeframe of your choice I use other Indicator for confirmation please use your favorite ones
Indikator Pine Script®
oleh boption4mzrj