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อินดิเคเตอร์และกลยุทธ์

Intraday Master Levels + ORB Suite (ARJO)Intraday Master Levels + ORB Suite (ARJO) This toolkit is designed for intraday traders. It focuses on key reference levels used by professional traders— Previous Day High/Low, CPR, Opening Range Breakout (ORB) , dynamic ORB box visualization, and a dedicated Morning Session VWAP. This indicator provides objective reference zones to help traders understand market context, volatility, and intraday bias . Key Features 1. Previous Day Levels (PDH / PDL) Automatically plots Previous Day High, Previous Day Low , and optional labels. These levels often act as natural support/resistance and help identify breakout traps or reversals. 2. Full CPR (Central Pivot Range) The indicator draws: Top Central (TC) Pivot (PP) Bottom Central (BC) These levels help traders interpret range, trend, expansion, contraction, and potential intraday direction. 3. Opening Range (OR) Levels You can select 5 / 10 / 15 / 30 / 60 minutes OR duration. The script automatically calculates: Opening Range High (ORH) Opening Range Low (ORL) Works in all markets and follows your chosen timezone. 4. ORB Highlight Box A dynamic Opening Range Box is plotted during the OR window, showing: Real-time OR expansion Volatility Initial auction imbalance This helps visually track early market participation and breakout attempts. 5. Used Smoother Function (Ehlers SuperSmoother) A refined trend ribbon based on: EMA-based secondary smoothing Adaptive up/down color gradients Useful for understanding short-term trend strength around OR, CPR, and PDH/PDL zones. 6. Morning Session VWAP (Custom Session VWAP) A unique feature in this script. The indicator computes a dedicated VWAP only for the Morning Session (09:15–09:30)(customizable) to help evaluate: Early-session pressure Liquidity transition Opening volatility absorption This helps track where the market is accepting or rejecting price during the opening phase. Inputs & Customization Custom timezone selection Toggle for PDH/PDL, CPR, OR, ORB Box, Labels Color customization for each level Trend color settings Adjustable opening range duration VWAP session toggle All features can be enabled/disabled to make it user-friendly. Disclaimer: This indicator does not provide buy or sell signals . It is a visual analysis tool meant to assist traders in studying intraday behavior. Past performance does not guarantee future results. Always combine these levels with risk management and your own market analysis. Happy Trading (ARJO)
อินดิเคเตอร์ Pine Script®
โดย ARJO_2019
Multitime ATRMulti-Timeframe Supertrend (Multitime ATR) Indicator Description This indicator, written in Pine Script v5, is a Multi-Timeframe (MTF) Supertrend tool. It provides a multi-faceted market analysis by simultaneously displaying the Supertrend lines from the current chart timeframe and three higher timeframes: the 1-Hour (1H), 4-Hour (4H), and 1-Day (1D). 📌 Key Features and Characteristics Multi-Timeframe Display: It overlays the Supertrend lines from the current timeframe, 1H, 4H, and 1D onto a single chart, totaling four timeframes. By visualizing the higher timeframe trend lines (uptrends as support, downtrends as resistance), traders can determine where the price action on the current chart stands within the context of the larger, dominant trends. Supertrend Logic: The Supertrend calculation utilizes the Average True Range (ATR), based on a user-specified ATR Period and ATR Multiplier. The Change ATR Calculation Method? input allows switching the ATR calculation between the standard ta.atr (EMA-based/smoothed) and ta.sma(ta.tr, Periods) (SMA-based) methods. Visual Aids: Trend Lines: Uptrend lines (support) and downtrend lines (resistance) for each timeframe are plotted with different colors and line weights (e.g., Main: Green/Red, 1H: Blue tones, 4H: Purple tones, 1D: Green/Dark Red tones). Highlighter: A background coloring feature visually highlights the area between the price and the Supertrend lines according to the trend direction for each timeframe, making the trend immediately obvious. This can be controlled collectively by the Master Highlighter setting. Trend Change Marks: Small circle plots (●) indicate the exact points of trend reversal for each higher timeframe, clearly signaling a shift. Warning and Break Signals: The indicator plots signal labels on the chart when the current price breaks (or nearly breaks) a higher timeframe trend line. Warning (⚠️): Plotted when the price closes below an uptrend line. Break (⚡): Plotted when the price closes above a downtrend line. These signals are designed to reset after a certain period (coded as 3,600,000 milliseconds = 1 hour) to prevent continuous noise from repetitive breaks. Alert Functionality: In addition to the current timeframe's Buy/Sell signals, the indicator features robust alerts for the Warning/Break signals across the 1H, 4H, and 1D timeframes, ensuring that critical trend changes are not missed. 🛠️ Customization Options The indicator's settings allow for detailed customization of the following parameters for each timeframe (Main, 1H, 4H, 1D) individually: ATR Period (ATR Period) ATR Multiplier (ATR Multiplier) Visibility toggles for trend lines, signals, and highlighters. Furthermore, the Master Control section enables simultaneous control over the display of the Highlighter, Signals, Up Trend Lines, and Down Trend Lines across all timeframes. This indicator serves as a powerful tool for finding more reliable entry and exit points by integrating multi-timeframe trend analysis, which helps reduce false signals often encountered in single-timeframe trading. Would you like me to elaborate on a specific section of the code, such as the request.security function or the signal logic?
อินดิเคเตอร์ Pine Script®
โดย ogudora0812
Multitime ATRMulti-Timeframe Supertrend (Multitime ATR) Indicator Description This indicator, written in Pine Script v5, is a Multi-Timeframe (MTF) Supertrend tool. It provides a multi-faceted market analysis by simultaneously displaying the Supertrend lines from the current chart timeframe and three higher timeframes: the 1-Hour (1H), 4-Hour (4H), and 1-Day (1D). 📌 Key Features and Characteristics Multi-Timeframe Display: It overlays the Supertrend lines from the current timeframe, 1H, 4H, and 1D onto a single chart, totaling four timeframes. By visualizing the higher timeframe trend lines (uptrends as support, downtrends as resistance), traders can determine where the price action on the current chart stands within the context of the larger, dominant trends. Supertrend Logic: The Supertrend calculation utilizes the Average True Range (ATR), based on a user-specified ATR Period and ATR Multiplier. The Change ATR Calculation Method? input allows switching the ATR calculation between the standard ta.atr (EMA-based/smoothed) and ta.sma(ta.tr, Periods) (SMA-based) methods. Visual Aids: Trend Lines: Uptrend lines (support) and downtrend lines (resistance) for each timeframe are plotted with different colors and line weights (e.g., Main: Green/Red, 1H: Blue tones, 4H: Purple tones, 1D: Green/Dark Red tones). Highlighter: A background coloring feature visually highlights the area between the price and the Supertrend lines according to the trend direction for each timeframe, making the trend immediately obvious. This can be controlled collectively by the Master Highlighter setting. Trend Change Marks: Small circle plots (●) indicate the exact points of trend reversal for each higher timeframe, clearly signaling a shift. Warning and Break Signals: The indicator plots signal labels on the chart when the current price breaks (or nearly breaks) a higher timeframe trend line. Warning (⚠️): Plotted when the price closes below an uptrend line. Break (⚡): Plotted when the price closes above a downtrend line. These signals are designed to reset after a certain period (coded as 3,600,000 milliseconds = 1 hour) to prevent continuous noise from repetitive breaks. Alert Functionality: In addition to the current timeframe's Buy/Sell signals, the indicator features robust alerts for the Warning/Break signals across the 1H, 4H, and 1D timeframes, ensuring that critical trend changes are not missed. 🛠️ Customization Options The indicator's settings allow for detailed customization of the following parameters for each timeframe (Main, 1H, 4H, 1D) individually: ATR Period (ATR Period) ATR Multiplier (ATR Multiplier) Visibility toggles for trend lines, signals, and highlighters. Furthermore, the Master Control section enables simultaneous control over the display of the Highlighter, Signals, Up Trend Lines, and Down Trend Lines across all timeframes. This indicator serves as a powerful tool for finding more reliable entry and exit points by integrating multi-timeframe trend analysis, which helps reduce false signals often encountered in single-timeframe trading. Would you like me to elaborate on a specific section of the code, such as the request.security function or the signal logic?
อินดิเคเตอร์ Pine Script®
โดย ogudora0812
Price Drop CounterThe Price Drop Counter is a very basic statistical indicator. See it as an analytical tool that tracks how many times an asset's price has dropped by a specified percentage from its recent peak within a defined date range. The indicator monitors the highest price reached and counts each occurrence when the price falls by your chosen threshold, then resets its peak tracking point after each drop is registered. Uses Volatility Assessment: Measure how frequently significant price corrections occur during specific periods Market Behavior Analysis: Compare drop frequency across different timeframes or market conditions Risk Evaluation: Identify assets or periods with higher downside volatility Historical Pattern Recognition: Study how often major pullbacks happened during bull or bear markets Backtesting Support: Analyze how your strategy would perform based on the frequency of drawdowns How to use it Add the indicator to your TradingView chart Configure the Percent Drop (%) to define your threshold (default: 10%). The indicator will count each time price falls by this percentage from the most recent high IMPORTANT Set your Start Date and End Date to analyze a specific period of interest The blue step-line plot shows the cumulative count of drops within your date range Adjust the percentage threshold based on your analysis needs - use smaller values (2-5%) for more frequent signals or larger values (15-20%) for major corrections only The counter resets its high-water mark after each qualifying drop, allowing it to track multiple sequential drops within the same period.
อินดิเคเตอร์ Pine Script®
โดย HenriqueCentieiro
Macro Range HighlighterThis Pine Script indicator creates visual boxes that highlight specific time-based price ranges throughout the trading day, operating in New York Eastern Time. It offers two distinct modes: a standard hourly range mode and a classic ICT (Inner Circle Trader) Macro mode. Two Operating Modes Mode 1: Standard Hourly 50-09 Ranges (Default) This mode identifies and highlights the price range during the final 10 minutes of each hour (xx:50) through the first 9 minutes of the next hour (xx:09). Examples of captured ranges: 08:50 - 09:09 09:50 - 10:09 10:50 - 11:09 11:50 - 12:09 12:50 - 13:09 13:50 - 14:09 14:50 - 15:09 And continues for each hour... Excluded Time Periods: The indicator excludes certain periods that cross into or occur during market close and the daily reset: 02:50 - 03:09 (excluded to avoid interference with overnight session) 15:50 - 18:09 (excluded to avoid end-of-regular-hours and the 18:00 ET trading day reset) This means you will NOT see boxes during the 16:00 or 17:00 hours, as these fall within the excluded window. Mode 2: Classic ICT Macro Times When enabled, this mode shows ONLY four specific time windows that are significant in ICT methodology: 02:33 - 02:59 (London Midnight Macro) 04:03 - 04:29 (London Open Macro) 13:10 - 13:39 (New York Lunch Macro) 15:15 - 15:44 (New York Close Macro) When this mode is active, all standard hourly ranges are disabled, including the 02:50-03:09 range. Green Line - Open Price Represents the open price of the first candle when the range begins This line is static once set - it shows where price opened when entering the time window Extends horizontally across the entire duration of the box Example: If the range starts at 08:50 and that candle opens at 18,500, the green line will be drawn at 18,500 Blue Line - Evolving Midpoint Represents the dynamic midpoint between the range high and range low This line continuously recalculates as new highs or lows are made within the time window Calculation: Midpoint = (Range High + Range Low) / 2 Evolution example: At 08:50, range is 18,480 (low) to 18,520 (high), midpoint = 18,500 At 08:55, price makes new high of 18,540, midpoint updates to 18,510 At 09:02, price makes new low of 18,470, midpoint updates to 18,505 The line visually adjusts up and down as the range expands Extension: The line extends horizontally from the start of the range to the current bar (or end of range) This gives traders a visual reference for the "fair value" or equilibrium point of the range Red Line - Close Price Represents the close price of the most recent candle within the time window This line updates continuously with each new bar's close price Extends horizontally across the range When the range completes (exits the time window), it shows the final close price of the last bar in the range Example: As price moves from 08:50 to 09:09, the red line will track the close of each candle: 18,505 → 18,510 → 18,508 → 18,515, etc. This indicator provides a sophisticated visual framework for analyzing specific time-based price behavior. The evolving midpoint (blue line and optional yellow plot) is particularly powerful because it gives you real-time feedback on where the "fair value" of the range is as it develops, allowing you to make informed decisions about whether price is extended or returning to equilibrium. The three-line system (open/mid/close) creates a complete picture of price action within each critical time window, whether you're using standard hourly analysis or focusing on ICT's specific macro times.
อินดิเคเตอร์ Pine Script®
โดย Fractaldactyl
MTF Supertrend by Rakesh Sharma📊 MULTI-TIMEFRAME SUPERTREND INDICATOR Get clear buy and sell signals from the powerful Supertrend indicator across three critical timeframes - all on one chart! 🎯 WHAT IT DOES: This indicator analyzes the Supertrend across Monthly, Weekly, and Daily timeframes simultaneously, giving you a complete picture of market trends from short-term to long-term perspectives. ✨ KEY FEATURES: - 📍 Visual Signal Labels: Clear buy/sell labels appear directly on your chart when Supertrend changes direction - Daily signals (D-BUY/D-SELL) - Small green/red labels - Weekly signals (W-BUY/W-SELL) - Medium blue/orange labels - Monthly signals (M-BUY/M-SELL) - Large lime/maroon labels - 📋 Live Summary Table: Real-time dashboard showing: - Current trend direction for each timeframe (Bullish ▲ or Bearish ▼) - Supertrend price levels - Color-coded for quick reading - 🎨 Visual Trend Confirmation: - Supertrend line plotted on current timeframe - Background color indicating current trend - ⚙️ Fully Customizable: - Adjustable ATR Period (default: 10) - Adjustable Factor (default: 3.0) - Toggle any timeframe on/off - Show/hide summary table 🚀 HOW TO USE: 1. **Best Trades**: Look for alignment across multiple timeframes - All 3 timeframes bullish = Strong buy opportunity - All 3 timeframes bearish = Strong sell opportunity 2. **Signal Strength**: - Monthly signals = Strongest, least frequent (major trend changes) - Weekly signals = Medium strength, moderate frequency - Daily signals = Most frequent, good for entries/exits 3. **Risk Management**: - Use Supertrend levels as stop-loss points - Higher timeframe trends act as confirmation for lower timeframe trades 4. **Settings Optimization**: - Lower ATR period (7-8) = More sensitive, more signals - Higher ATR period (12-14) = Less sensitive, fewer false signals - Lower Factor (2.0-2.5) = Tighter stops, more signals - Higher Factor (3.5-4.0) = Wider stops, fewer signals 💡 TRADING STRATEGY EXAMPLES: **Conservative Approach:** - Only take trades when all 3 timeframes align - Use monthly trend as overall direction filter - Enter on daily signals in direction of weekly/monthly trend **Aggressive Approach:** - Trade daily signals independently - Use weekly/monthly as confirmation - Quick entries and exits **Swing Trading:** - Focus on weekly signals - Use monthly for trend direction - Use daily for precise entry timing ⚠️ IMPORTANT NOTES: - This is a trend-following indicator - works best in trending markets - May generate whipsaws in choppy/sideways markets - Always use proper risk management and position sizing - Combine with volume analysis and support/resistance for best results - Past performance does not guarantee future results 📈 BEST MARKETS: Works on all markets: Stocks, Forex, Crypto, Commodities, Indices ⏰ BEST TIMEFRAMES: Can be applied to any chart timeframe, but works best on: - 1H to 4H charts for intraday trading - Daily charts for swing trading - Weekly charts for position trading 🔧 DEFAULT SETTINGS: - ATR Period: 10 - Factor: 3.0 - All timeframes enabled - Summary table visible Feel free to adjust settings based on your trading style and the asset's volatility! 📚 ABOUT SUPERTREND: Supertrend is a trend-following indicator that uses ATR (Average True Range) to plot dynamic support and resistance levels. It helps identify the current trend direction and potential reversal points. --- 💬 Questions or suggestions? Leave a comment below! ⭐ If you find this indicator helpful, please give it a boost! Happy Trading! 🎯
อินดิเคเตอร์ Pine Script®
โดย rabin97
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
ไลบรารี Pine Script®
โดย Unicorpus
RSI BREAKOUT SIGNALSThis BB + RSI Breakout indicator is designed to help traders identify potential buy and sell opportunities based on price movements relative to the Donchian channel (or Bollinger-type channel) and momentum conditions. It calculates the highest high and lowest low over a user-defined length to form a dynamic channel, and then it checks whether the current price breaks above the upper band (for a buy signal) or below the lower band (for a sell signal). To avoid repeated signals in a row, the indicator uses a state system: after a buy signal occurs, it will not generate another buy until a sell occurs, and vice versa. When a buy signal is triggered, it automatically calculates a take-profit price a certain percentage above the buy candle and displays this price below the candle as a “TP” label. Sell signals are displayed above the candle, and any previous TP label is cleared. The indicator updates in real time, so the signals move with the chart, giving a clear and lag-free visualization of entry points and potential profit targets.
กลยุทธ์ Pine Script®
โดย gabrielcoracinidesouza07
2
indicator CalibrationIndicator Calibration - Multi-Indicator Consensus System Overview Indicator Calibration is a powerful consensus-based trading indicator that leverages the MyIndicatorLibrary (NormalizedIndicators) to combine multiple trend-following indicators into a single, actionable signal. By averaging the normalized outputs of up to 8 different trend indicators, this tool provides traders with a clear consensus view of market direction, reducing noise and false signals inherent in single-indicator approaches. The indicator outputs a value between -1 (strong bearish) and +1 (strong bullish), with 0 representing a neutral market state. This creates an intuitive, easy-to-read oscillator that synthesizes multiple analytical perspectives into one coherent signal. 🎯 Core Concept Consensus Trading Philosophy Rather than relying on a single indicator that may give conflicting or premature signals, Indicator Calibration employs a democratic voting system where multiple indicators contribute their normalized opinion: Each enabled indicator votes: +1 (bullish), -1 (bearish), or 0 (neutral) The votes are averaged to create a consensus signal Strong consensus (closer to ±1) indicates high agreement among indicators Weak consensus (closer to 0) indicates market indecision or transition Key Benefits Reduced False Signals: Multiple indicators must agree before strong signals appear Noise Filtering: Individual indicator quirks are smoothed out by averaging Customizable: Enable/disable indicators and adjust parameters to suit your trading style Universal Application: Works across all timeframes and asset classes Clear Visualization: Simple line oscillator with clear bull/bear zones 📊 Included Indicators The system can utilize up to 8 normalized trend-following indicators from the library: 1. BBPct - Bollinger Bands Percent Parameters: Length (default: 20), Factor (default: 2) Type: Stationary oscillator Strength: Mean reversion and volatility detection 2. NorosTrendRibbonEMA Parameters: Length (default: 20) Type: Non-stationary trend follower Strength: Breakout detection with momentum confirmation 3. RSI - Relative Strength Index Parameters: Length (default: 9), SMA Length (default: 4) Type: Stationary momentum oscillator Strength: Overbought/oversold with smoothing 4. Vidya - Variable Index Dynamic Average Parameters: Length (default: 30), History Length (default: 9) Type: Adaptive moving average Strength: Volatility-adjusted trend following 5. HullSuite Parameters: Length (default: 55), Multiplier (default: 1) Type: Fast-response moving average Strength: Low-lag trend identification 6. TrendContinuation Parameters: MA Length 1 (default: 50), MA Length 2 (default: 25) Type: Dual HMA system Strength: Trend quality assessment with neutral states 7. LeonidasTrendFollowingSystem Parameters: Short Length (default: 21), Key Length (default: 10) Type: Dual EMA crossover Strength: Simple, reliable trend tracking 8. TRAMA - Trend Regularity Adaptive Moving Average Parameters: Length (default: 50) Type: Adaptive trend follower Strength: Adjusts to trend stability ⚙️ Input Parameters Source Settings Source: Choose your price input (default: close) Can be modified to: open, high, low, close, hl2, hlc3, ohlc4, hlcc4 Indicator Selection Each indicator can be enabled or disabled via checkboxes: use_bbpct: Enable/disable Bollinger Bands Percent use_noros: Enable/disable Noro's Trend Ribbon use_rsi: Enable/disable RSI use_vidya: Enable/disable VIDYA use_hull: Enable/disable Hull Suite use_trendcon: Enable/disable Trend Continuation use_leonidas: Enable/disable Leonidas System use_trama: Enable/disable TRAMA Parameter Customization Each indicator has its own parameter group where you can fine-tune: val 1: Primary period/length parameter val 2: Secondary parameter (multiplier, smoothing, etc.) 📈 Signal Interpretation Output Line (Orange) The main output oscillates between -1 and +1: +1.0 to +0.5: Strong bullish consensus (all or most indicators agree on uptrend) +0.5 to +0.2: Moderate bullish bias (bullish indicators outnumber bearish) +0.2 to -0.2: Neutral zone (mixed signals or transition phase) -0.2 to -0.5: Moderate bearish bias (bearish indicators outnumber bullish) -0.5 to -1.0: Strong bearish consensus (all or most indicators agree on downtrend) Reference Lines Green line (+1): Maximum bullish consensus Red line (-1): Maximum bearish consensus Gray line (0): Neutral midpoint 💡 Trading Strategies Strategy 1: Consensus Threshold Trading Entry Rules: - Long: Output crosses above +0.5 (strong bullish consensus) - Short: Output crosses below -0.5 (strong bearish consensus) Exit Rules: - Exit Long: Output crosses below 0 (consensus lost) - Exit Short: Output crosses above 0 (consensus lost) Strategy 2: Zero-Line Crossover Entry Rules: - Long: Output crosses above 0 (bullish shift in consensus) - Short: Output crosses below 0 (bearish shift in consensus) Exit Rules: - Exit on opposite crossover Strategy 3: Divergence Trading Look for divergences between: - Price making higher highs while indicator makes lower highs (bearish divergence) - Price making lower lows while indicator makes higher lows (bullish divergence) Strategy 4: Extreme Reading Reversal Entry Rules: - Long: Output reaches -0.8 or below (extreme bearish consensus = potential reversal) - Short: Output reaches +0.8 or above (extreme bullish consensus = potential reversal) Use with caution - best combined with other reversal signals 🔧 Optimization Tips For Trending Markets Enable trend-following indicators: Noro's, VIDYA, Hull Suite, Leonidas Use higher threshold levels (±0.6) to filter out minor retracements Increase indicator periods for smoother signals For Range-Bound Markets Enable oscillators: BBPct, RSI Use zero-line crossovers for entries Decrease indicator periods for faster response For Volatile Markets Enable adaptive indicators: VIDYA, TRAMA Use wider threshold levels to avoid whipsaws Consider disabling fast indicators that may overreact Custom Calibration Process Start with all indicators enabled using default parameters Backtest on your chosen timeframe and asset Identify which indicators produce the most false signals Disable or adjust parameters for problematic indicators Test different threshold levels for entry/exit Validate on out-of-sample data 📊 Visual Guide Color Scheme Orange Line: Main consensus output Green Horizontal: Bullish extreme (+1) Red Horizontal: Bearish extreme (-1) Gray Horizontal: Neutral zone (0) Reading the Chart Line above 0: Net bullish sentiment Line below 0: Net bearish sentiment Line near extremes: Strong consensus Line fluctuating near 0: Indecision or transition Smooth line movement: Stable consensus Erratic line movement: Conflicting signals ⚠️ Important Considerations Lag Characteristics This is a lagging indicator by design (consensus takes time to form) Best used for trend confirmation rather than early entry May miss the first portion of strong moves Reduces false entries at the cost of delayed entries Number of Active Indicators More indicators = smoother but slower signals Fewer indicators = faster but potentially noisier signals Minimum recommended: 4 indicators for reliable consensus Optimal: 6-8 indicators for balanced performance Market Conditions Best: Strong trending markets (up or down) Good: Volatile markets with clear directional moves Poor: Choppy, sideways markets with no clear trend Worst: Low-volume, range-bound conditions Complementary Tools Consider combining with: Volume analysis for confirmation Support/resistance levels for entry/exit points Market structure analysis (higher timeframe trends) Risk management tools (ATR-based stops) 🎓 Example Use Cases Swing Trading Timeframe: Daily or 4H Enable: All 8 indicators with default parameters Entry: Consensus > +0.5 or < -0.5 Hold: Until consensus reverses to opposite extreme Day Trading Timeframe: 15m or 1H Enable: Faster indicators (RSI, BBPct, Noro's, Hull Suite) Entry: Zero-line crossover with volume confirmation Exit: Opposite crossover or profit target Position Trading Timeframe: Weekly or Daily Enable: Slower indicators (TRAMA, VIDYA, Trend Continuation) Entry: Strong consensus (±0.7) with higher timeframe confirmation Hold: Months until consensus weakens significantly 🔬 Technical Details Calculation Method 1. Each enabled indicator calculates its normalized signal (-1, 0, or +1) 2. All active signals are stored in an array 3. Array.avg() computes the arithmetic mean 4. Result is plotted as a continuous line Output Range Theoretical: -1.0 to +1.0 Practical: Typically ranges between -0.8 to +0.8 Rare: All indicators perfectly aligned at ±1.0 Performance Lightweight calculation (simple averaging) No repainting (all indicators are non-repainting) Compatible with all Pine Script features Works on all TradingView plans 📋 License This code is subject to the Mozilla Public License 2.0 at mozilla.org 🚀 Quick Start Guide Add to Chart: Apply indicator to your chart Choose Timeframe: Select appropriate timeframe for your trading style Enable Indicators: Start with all 8 enabled Observe Behavior: Watch how consensus forms during different market conditions Calibrate: Adjust parameters and indicator selection based on observations Backtest: Validate your settings on historical data Trade: Apply with proper risk management 🎯 Key Takeaways ✅ Consensus beats individual indicators - Multiple perspectives reduce errors ✅ Customizable to your style - Enable/disable and tune to preference ✅ Simple interpretation - One line tells the story ✅ Works across markets - Stocks, crypto, forex, commodities ✅ Reduces emotional trading - Clear, objective signal generation ✅ Professional-grade - Built on proven technical analysis principles Indicator Calibration transforms complex multi-indicator analysis into a single, actionable signal. By harnessing the collective wisdom of multiple proven trend-following systems, traders gain a powerful edge in identifying high-probability trade setups while filtering out market noise.
อินดิเคเตอร์ Pine Script®
โดย Unicorpus
MAG8 Breadth RSI This indicator is for my personal monitoring breadth of MAG 8 , including AVGO for use to trade spy/es and qqq/nq. A green bar over 6 translates to 6 out of the 8 stocks have RSI's<30. Conversely a red indicator at 6 would indicate 6 out of 8 are overbought, RSI >70. Extreme 6-8 of 8 either overbought (red) or oversold (green) Moderate 4-5 of 8 either overbought (red) or oversold (green) No Signal 0-3 of 8 either overbought (red) or oversold (green) Not trading advice but thought I would share.
อินดิเคเตอร์ Pine Script®
โดย Jones516
Smart RSI Money Flow - Core Bands V1.01SMART RSI – Money Flow Bands (Technical Overview) 1. Background: RSI and Its Behavior on Lower Timeframes The Relative Strength Index (RSI) originally is a momentum oscillator calculated from average gains and losses over a selected period. In its standard form, RSI is derived solely from price changes; it does not incorporate volume data or order-flow information in its formula. Because RSI is price-based, its interpretation depends strongly on the timeframe: • On higher timeframes, each bar aggregates more trading activity, and RSI tends to behave more smoothly. • On lower timeframes (1-hour down to intraday scalping intervals), price fluctuations are quicker, and RSI becomes more sensitive to short-term noise. This does not imply that RSI becomes invalid, but that its signals on fast charts can be more reactive and may benefit from additional context such as volume behavior or structural information. 2. Purpose of This Indicator This indicator extends the classical RSI by adding information that RSI does not include: • Mapping RSI values into price-based bands instead of the 0–100 oscillator space. • Retrieving lower timeframe volume data and separating it into buy and sell components. • Comparing the slope (angle) of price movement with the slope of buy and sell volume. The goal is to provide a structural interpretation of where price sits relative to RSI conditions and how volume is behaving on a lower timeframe. 3. Technical Differences Compared to Classical RSI A) Classical RSI • Input: price only (usually close). • Output: normalized oscillator between 0 and 100. • Does not incorporate intra-bar volume distribution. • Does not separate buy/sell volume. B) SMART RSI – Money Flow Bands 1) RSI-to-Price Mapping Converts RSI values into upper/lower price bands using recent price extremes. 2) Lower Timeframe Volume Decomposition Retrieves LTF data and splits each bar’s volume into buy (close>open) and sell (close
อินดิเคเตอร์ Pine Script®
โดย ata_sabanci
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.
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