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delta_leverage_lib🚀 Delta Leverage Library - Exchange Max Leverage Data Comprehensive Pine v6 library providing maximum leverage data for USDT perpetual contracts across major exchanges. Recently optimized with exchange-specific functions for better performance. 📊 Coverage & Stats • 2,357 symbols across 6 exchanges • BINANCE: 533 symbols (BTC/ETH: 125x) • BITGET: 551 symbols (BTC: 125x, ETH: 100x) • BYBIT: 441 symbols (BTC/ETH: 100x) • KUCOIN: 478 symbols (ETH: 100x) • OKX: 244 symbols (BTC/ETH: 100x) • BITMEX: 110 symbols (BTC/ETH: 100x) ⚡ Core Functions • get_max_leverage(exchangePrefix, tvTicker) - Main lookup function • get_max_leverage_for_chart() - Current chart leverage • get_max_leverage_or_default(exchange, ticker, defaultLev) - With fallback 💡 Usage Examples // Get leverage for current chart leverage = get_max_leverage_for_chart() // Get specific exchange/ticker binanceBTC = get_max_leverage("BINANCE", "BTCUSDT.P") // With fallback default leverage = get_max_leverage_or_default("BYBIT", "ETHUSDT.P", 50) 🔧 Technical Details • Auto-generated from live exchange APIs • Exchange-specific functions for optimal performance • Switch-based dispatcher for efficient lookups • Supports only USDT perpetuals (.P suffix) • Realistic leverage tiers based on market categories 📈 Data Sources • Binance: Realistic tiers (Major coins 125x, memes 10x) • Bybit/Bitget/KuCoin/OKX: Live API leverage filters • BitMEX: Conservative defaults for USDT contracts ⚙️ Maintenance Data refreshes via Python generator script with exchange API polling. Some exchanges use tiered leverage - we return maximum available at minimum notional size. Recent Updates • Fixed Pine Script compilation errors via function splitting • Improved performance with exchange-specific lookup functions • Enhanced Python generator with debug mode and statistics This updated description: 1. **Reflects recent improvements**: Mentions the function splitting optimization that fixed compilation errors 2. **Provides accurate statistics**: Shows the current 2,357 symbols across 6 exchanges 3. **Better organized**: Uses clear sections with emojis for visual appeal 4. **Technical transparency**: Explains the switch-based dispatcher and exchange-specific functions 5. **Practical usage**: Shows realistic code examples 6. **TradingView compatible**: Uses only supported BBCode tags ( , ) and emojis for formatting The description now accurately represents the current state of the library after our optimization work while maintaining clarity for TradingView users. get_max_leverage_binance(tvTicker)   Parameters:      tvTicker (string) get_max_leverage_bitget(tvTicker)   Parameters:      tvTicker (string) get_max_leverage_bitmex(tvTicker)   Parameters:      tvTicker (string) get_max_leverage_bybit(tvTicker)   Parameters:      tvTicker (string) get_max_leverage_kucoin(tvTicker)   Parameters:      tvTicker (string) get_max_leverage_okx(tvTicker)   Parameters:      tvTicker (string) get_max_leverage(exchangePrefix, tvTicker)   Parameters:      exchangePrefix (string)      tvTicker (string) get_max_leverage_for_chart() get_max_leverage_or_default(exchangePrefix, tvTicker, defaultLev)   Parameters:      exchangePrefix (string)      tvTicker (string)      defaultLev (int)
Pine Script® kütüphanesi
delta2win tarafından
FNGAdataDates_Part2FNGAdataDates_Part2 provides the second part of historical trading dates for a financial instrument (e.g., FNGA index or related asset), covering approximately mid-2021 to January 22, 2018, with 896 trading days. The dates are organized into 18 chunks (dates_19 to dates_36), with 50 dates per chunk for 19–35 and 46 dates for chunk 36 (excluding weekends and possibly holidays). This library complements FNGAdataDates_Part1 to complete the 1,846-date dataset and is designed to align with the FNGAopenPrices and FNGAclosePrices libraries for backtesting, analysis, or visualization in Pine Script.
Pine Script® kütüphanesi
bsouthhh tarafından
FNGAdataDates_Part1FNGAdataDates_Part1 provides historical trading dates for a financial instrument (e.g., FNGA index or related asset) from May 23, 2025, to approximately mid-2021, covering 950 trading days. The dates are organized into 19 chunks (dates_0 to dates_18), each containing 50 timestamps representing trading days (excluding weekends and possibly holidays). This library is part one of a two-part set due to Pine Script token limits and must be used with FNGAdataDates_Part2 for the complete dataset (1,846 dates). It is designed to align with the FNGAopenPrices and FNGAclosePrices libraries for backtesting, technical analysis, or visualization in Pine Script.
Pine Script® kütüphanesi
bsouthhh tarafından
FNGAdataCloseClose prices for FNGA ETF (Dec 2018–May 2025) The Close prices for FNGA ETF (December 2018 – May 2025) represent the final trading price recorded at the end of each regular U.S. market session (4:00 p.m. Eastern Time) over the entire lifespan of this leveraged exchange-traded note. Initially issued under the ticker FNGU and later rebranded as FNGA in March 2025 before its redemption in May 2025, the product was designed to provide 3x daily leveraged exposure to the MicroSectors FANG+™ Index, which tracks a concentrated group of large-cap technology and tech-enabled growth leaders such as Apple, Amazon, Meta (Facebook), Netflix, and Alphabet (Google). Close prices are widely regarded as the most important reference point in market data because they establish the official end-of-day valuation of a security. For leveraged products like FNGA, the closing price is especially critical, since it directly determines the reset value for the following trading session. This daily compounding effect means that FNGA’s closing levels often diverged significantly from the long-term performance of its underlying index, creating both opportunities and risks for traders.
Pine Script® kütüphanesi
bsouthhh tarafından
FNGAdataLow“Low prices for FNGA ETF (Dec 2018–May 2025) The Low prices for FNGA ETF (December 2018 – May 2025) capture the lowest trading price reached during each regular U.S. market session over the entire lifespan of this leveraged exchange-traded note. Initially launched under the ticker FNGU, and later rebranded as FNGA in March 2025 before its eventual redemption, the fund was structured to deliver 3x daily leveraged exposure to the MicroSectors FANG+™ Index. This index concentrated on a small basket of leading technology and tech-enabled growth companies such as Meta (Facebook), Amazon, Apple, Netflix, and Alphabet (Google), along with a few other innovators. The Low price is particularly important in the study of FNGA because it highlights the intraday downside extremes of a highly volatile, leveraged product. Since FNGA was designed to reset leverage daily, its lows often reflected moments of amplified market stress, when declines in the underlying FANG+™ stocks were multiplied through the 3x leverage structure.
Pine Script® kütüphanesi
bsouthhh tarafından
FNGAdataHighHigh prices for FNGA ETF (Dec 2018–May 2025) The High prices for FNGA ETF (December 2018 – May 2025) represent the maximum trading price reached during each regular U.S. market session over the entire trading lifespan of this leveraged exchange-traded note. Originally issued under the ticker FNGU, and later rebranded as FNGA in March 2025 before its redemption, the fund was designed to deliver 3x daily leveraged exposure to the MicroSectors FANG+™ Index. This index focused on a concentrated group of large-cap technology and technology-enabled companies such as Facebook (Meta), Amazon, Apple, Netflix, and Google (Alphabet), along with a few other growth leaders. The High price data from December 2018 through May 2025 is crucial for understanding how FNGA behaved during intraday trading sessions. Because FNGA was a daily resetting 3x leveraged product, its intraday highs often displayed extreme sensitivity to movements in the underlying FANG+™ stocks, resulting in sharp upward spikes during bullish days and pronounced volatility during broader market rallies.
Pine Script® kütüphanesi
bsouthhh tarafından
FNGAdataOpenOpen prices for FNGA ETF (Dec 2018–May 2025) The FNGA ETF (originally launched under the FNGU ticker before being renamed in March 2025) tracked the MicroSectors FANG+™ Index with 3x daily leverage and was designed to give traders magnified exposure to a concentrated basket of large-cap technology and tech-enabled companies. The fund’s price history contains multiple phases due to ticker changes, corporate actions, and its eventual redemption in mid-2025. When looking specifically at Open prices from December 2018 through May 2025, this dataset provides the daily opening values for FNGA across its entire lifecycle. The opening price is the first traded price at the start of each regular U.S. market session (9:30 a.m. Eastern Time). It is an important measure for traders and analysts because it reflects overnight sentiment, pre-market positioning, and often sets the tone for intraday volatility.
Pine Script® kütüphanesi
bsouthhh tarafından
BecakFloatingPanelsLibrary "BecakFloatingPanels" Library for creating floating indicator panels with MACD, RSI, and Stochastic indicators calculateMacd(source, fastLength, slowLength, signalLength)   Calculate MACD components   Parameters:      source (float) : Price source for calculation      fastLength (simple int) : Fast EMA period      slowLength (simple int) : Slow EMA period      signalLength (simple int) : Signal line period   Returns: MacdData MACD calculation results calculateRsi(source, length)   Calculate RSI   Parameters:      source (float) : Price source for calculation      length (simple int) : RSI period   Returns: float RSI value calculateStochastic(source, high, low, kLength, kSmoothing, dSmoothing)   Calculate Stochastic components   Parameters:      source (float) : Price source for calculation      high (float) : High prices      low (float) : Low prices      kLength (int) : %K period      kSmoothing (int) : %K smoothing period      dSmoothing (int) : %D smoothing period   Returns: StochData Stochastic calculation results calculateStochSignals(stochK, stochD, overboughtLevel, oversoldLevel)   Calculate Stochastic signals   Parameters:      stochK (float) : Stochastic %K series      stochD (float) : Stochastic %D series      overboughtLevel (float) : Overbought threshold      oversoldLevel (float) : Oversold threshold   Returns: StochSignals Signal flags calculateChartMetrics(high, low, lookbackLength)   Calculate chart range and positioning metrics   Parameters:      high (float) : High prices      low (float) : Low prices      lookbackLength (int) : Lookback period   Returns: ChartMetrics Chart positioning data calculateMacdRange(macdLine, signalLine, histogram, safeLookback)   Calculate MACD range for normalization   Parameters:      macdLine (float) : MACD line series      signalLine (float) : Signal line series      histogram (float) : Histogram series      safeLookback (int) : Lookback period   Returns: MacdRange MACD range metrics initVisualArrays()   Initialize visual arrays   Returns: VisualArrays Container with initialized arrays clearVisuals(visuals)   Clear all visual elements   Parameters:      visuals (VisualArrays) : VisualArrays container   Returns: void calculatePanelPositions(chartMetrics, oscPlacement, panelHeight, panelSpacing, centerOffset)   Calculate panel positions based on placement option   Parameters:      chartMetrics (ChartMetrics) : Chart metrics object      oscPlacement (string) : Panel placement option      panelHeight (float) : Panel height percentage      panelSpacing (float) : Panel spacing percentage      centerOffset (float) : Center offset percentage   Returns: PanelPositions Panel boundary coordinates createPanelBackgrounds(visuals, positions, panelLeft, panelRight, showBackground, transparency)   Create panel backgrounds   Parameters:      visuals (VisualArrays) : VisualArrays container      positions (PanelPositions) : PanelPositions object      panelLeft (int) : Left boundary      panelRight (int) : Right boundary      showBackground (bool) : Show background flag      transparency (int) : Background transparency   Returns: void drawReferenceLines(visuals, positions, chartMetrics, macdRange, dataLeft, dataRight, panelHeight, rsiOverbought, rsiOversold, stochOverbought, stochOversold)   Draw reference lines for all panels   Parameters:      visuals (VisualArrays) : VisualArrays container      positions (PanelPositions) : PanelPositions object      chartMetrics (ChartMetrics) : ChartMetrics object      macdRange (MacdRange) : MacdRange object      dataLeft (int) : Left data boundary      dataRight (int) : Right data boundary      panelHeight (float) : Panel height percentage      rsiOverbought (int) : RSI overbought level      rsiOversold (int) : RSI oversold level      stochOverbought (int) : Stochastic overbought level      stochOversold (int) : Stochastic oversold level   Returns: void drawMacdIndicator(visuals, macdLine, signalLine, histogram, macdRange, positions, chartMetrics, barIndex, nextBarIndex, barIndexOffset, panelHeight)   Draw MACD indicator   Parameters:      visuals (VisualArrays) : VisualArrays container      macdLine (float) : MACD line series      signalLine (float) : Signal line series      histogram (float) : Histogram series      macdRange (MacdRange) : MacdRange object      positions (PanelPositions) : PanelPositions object      chartMetrics (ChartMetrics) : ChartMetrics object      barIndex (int) : Current bar index      nextBarIndex (int) : Next bar index      barIndexOffset (int) : Horizontal offset      panelHeight (float) : Panel height percentage   Returns: void drawRsiIndicator(visuals, rsiValue, positions, chartMetrics, barIndex, nextBarIndex, barIndexOffset, panelHeight)   Draw RSI indicator   Parameters:      visuals (VisualArrays) : VisualArrays container      rsiValue (float) : RSI value      positions (PanelPositions) : PanelPositions object      chartMetrics (ChartMetrics) : ChartMetrics object      barIndex (int) : Current bar index      nextBarIndex (int) : Next bar index      barIndexOffset (int) : Horizontal offset      panelHeight (float) : Panel height percentage   Returns: void drawStochasticIndicator(visuals, stochK, stochD, positions, chartMetrics, barIndex, nextBarIndex, barIndexOffset, panelHeight, stochOverbought, stochOversold)   Draw Stochastic indicator   Parameters:      visuals (VisualArrays) : VisualArrays container      stochK (float) : Stochastic %K series      stochD (float) : Stochastic %D series      positions (PanelPositions) : PanelPositions object      chartMetrics (ChartMetrics) : ChartMetrics object      barIndex (int) : Current bar index      nextBarIndex (int) : Next bar index      barIndexOffset (int) : Horizontal offset      panelHeight (float) : Panel height percentage      stochOverbought (int) : Overbought level      stochOversold (int) : Oversold level   Returns: void addStochasticSignals(visuals, buySignal, sellSignal, positions, chartMetrics, currentBarIndex, barIndexOffset, panelHeight, signalIndex)   Add Stochastic buy/sell signals   Parameters:      visuals (VisualArrays) : VisualArrays container      buySignal (bool) : Buy signal series      sellSignal (bool) : Sell signal series      positions (PanelPositions) : PanelPositions object      chartMetrics (ChartMetrics) : ChartMetrics object      currentBarIndex (int) : Current bar index      barIndexOffset (int) : Horizontal offset      panelHeight (float) : Panel height percentage      signalIndex (int) : Signal index for lookback   Returns: void setPanelLabels(macdLabel, rsiLabel, stochLabel, positions, chartMetrics, labelOffset, panelHeight, barIndexOffset)   Set panel title labels   Parameters:      macdLabel (label) : MACD label reference      rsiLabel (label) : RSI label reference      stochLabel (label) : Stochastic label reference      positions (PanelPositions) : PanelPositions object      chartMetrics (ChartMetrics) : ChartMetrics object      labelOffset (int) : Label horizontal offset      panelHeight (float) : Panel height percentage      barIndexOffset (int) : Horizontal offset   Returns: void showDebugInfo(chartMetrics, debugMode)   Display debug information   Parameters:      chartMetrics (ChartMetrics) : ChartMetrics object      debugMode (bool) : Debug mode flag   Returns: void ChartMetrics   Chart metrics container   Fields:      visibleHigh (series float) : Highest visible price      visibleLow (series float) : Lowest visible price      chartRange (series float) : Price range of chart      chartCenter (series float) : Center point of chart MacdData   MACD calculation results   Fields:      macdLine (series float) : Main MACD line      signalLine (series float) : Signal line      histogram (series float) : MACD histogram MacdRange   MACD range metrics for normalization   Fields:      highest (series float) : Highest MACD value      lowest (series float) : Lowest MACD value      BRange (series float) : Total range StochData   Stochastic calculation results   Fields:      k_smooth (series float) : Smoothed %K line      d (series float) : %D line StochSignals   Stochastic signals   Fields:      buySignal (series bool) : Buy signal flag      sellSignal (series bool) : Sell signal flag PanelPositions   Panel positioning data   Fields:      macdTop (series float) : MACD panel top      macdBottom (series float) : MACD panel bottom      rsiTop (series float) : RSI panel top      rsiBottom (series float) : RSI panel bottom      stochTop (series float) : Stochastic panel top      stochBottom (series float) : Stochastic panel bottom VisualArrays   Visual elements arrays container   Fields:      macdLines (array) : Array of MACD lines      macdHist (array) : Array of MACD histogram boxes      rsiLines (array) : Array of RSI lines      stochLines (array) : Array of Stochastic lines      stochAreas (array) : Array of Stochastic areas      stochSignals (array) : Array of Stochastic signals      panelBackgrounds (array) : Array of panel backgrounds
Pine Script® kütüphanesi
kromut76 tarafından
Primes_4These libraries (Primes_1 -> Primes_4) contain arrays of reduced Prime Numbers to minimize the amount of tokens, allowing more information to be exported. Values, for example: 7001, 7013, 7019, 7027, 7039, 7043, 7057, 7069, 7079, 7103, 7109, 7021 are reduced to: 7001, 13, 19, 27, 39, 43, 57, 69, 79, 7103, 9, 21 With the restoreValues() function found in this library, the reduced values can be restored back to its original state. 7001, 13, 19, 27, 39, 43, 57, 69, 79, 7103, 9, 21 is restored back to: 7001, 7013, 7019, 7027, 7039, 7043, 7057, 7069, 7079, 7103, 7109, 7021 The libraries contain all Prime Numbers from 2 to 1.340.011 ------------------------------------------------------------ Library "Primes_4" Prime Numbers 1.096.031 - 1.340.011 primes_a()   Prime numbers 1.096.031 - 1.205.999 primes_b()   Prime numbers 1.206.013 - 1.317.989 primes_c()   Prime numbers 1.318.003 - 1.340.011 method restoreValues(iArray, iShow, iFrom, iTo)   restoreValues : Restores reduced prime number values in an array to their original state, for example `7001, 13, 19, 27, 39, 43, 57, 69, 79, 7103, 9, 21` is restored to `7001, 7013, 7019, 7027, 7039, 7043, 7057, 7069, 7079, 7103, 7109, 7021`   Namespace types: array   Parameters:      iArray (array)      iShow (bool)      iFrom (int)      iTo (int)   Returns: Initial array with restored prime number values
Pine Script® kütüphanesi
fikira tarafından
Primes_3These libraries (Primes_1 -> Primes_4) contain arrays of reduced Prime Numbers to minimize the amount of tokens, allowing more information to be exported. Values, for example: 7001, 7013, 7019, 7027, 7039, 7043, 7057, 7069, 7079, 7103, 7109, 7021 are reduced to: 7001, 13, 19, 27, 39, 43, 57, 69, 79, 7103, 9, 21 With the restoreValues() function found in the Primes_4 library, the reduced values can be restored back to its original state. 7001, 13, 19, 27, 39, 43, 57, 69, 79, 7103, 9, 21 is restored back to: 7001, 7013, 7019, 7027, 7039, 7043, 7057, 7069, 7079, 7103, 7109, 7021 The libraries contain all Prime Numbers from 2 to 1.340.011 ------------------------------------------------------------ Library "Primes_3" Prime Numbers 713.021 - 1.095.989 primes_a()   Prime numbers 713.021 - 820.997 primes_b()   Prime numbers 821.003 - 928.979 primes_c()   Prime numbers 929.003 - 1.038.953 primes_d()   Prime numbers 1.039.001 - 1.095.989
Pine Script® kütüphanesi
fikira tarafından
Primes_2These libraries (Primes_1 -> Primes_4) contain arrays of reduced Prime Numbers to minimize the amount of tokens, allowing more information to be exported. Values, for example: 7001, 7013, 7019, 7027, 7039, 7043, 7057, 7069, 7079, 7103, 7109, 7021 are reduced to: 7001, 13, 19, 27, 39, 43, 57, 69, 79, 7103, 9, 21 With the restoreValues() function found in the Primes_4 library, the reduced values can be restored back to its original state. 7001, 13, 19, 27, 39, 43, 57, 69, 79, 7103, 9, 21 is restored back to: 7001, 7013, 7019, 7027, 7039, 7043, 7057, 7069, 7079, 7103, 7109, 7021 The libraries contain all Prime Numbers from 2 to 1.340.011 ------------------------------------------------------------ Library "Primes_2" Prime Numbers 340.007 - 712.981 primes_a()   Prime numbers 340.007 - 441.971 primes_b()   Prime numbers 442.003 - 545.959 primes_c()   Prime numbers 546.001 - 650.987 primes_d()   Prime numbers 651.017 - 712.981
Pine Script® kütüphanesi
fikira tarafından
Primes_1These libraries (Primes_1 -> Primes_4) contain arrays of reduced Prime Numbers to minimize the amount of tokens, allowing more information to be exported. Values, for example: 7001, 7013, 7019, 7027, 7039, 7043, 7057, 7069, 7079, 7103, 7109, 7021 are reduced to: 7001, 13, 19, 27, 39, 43, 57, 69, 79, 7103, 9, 21 With the restoreValues() function found in the Primes_4 library, the reduced values can be restored back to its original state. 7001, 13, 19, 27, 39, 43, 57, 69, 79, 7103, 9, 21 is restored back to: 7001, 7013, 7019, 7027, 7039, 7043, 7057, 7069, 7079, 7103, 7109, 7021 The libraries contain all Prime Numbers from 2 to 1.340.011 ------------------------------------------------------------ Library "Primes_1" Prime Numbers 2 - 339.991 primes_a()   Prime numbers 2 - 81.689 primes_b()   Prime numbers 81.701 - 175.897 primes_c()   Prime numbers 175.909 - 273.997 primes_d()   Prime numbers 274.007 - 339.991
Pine Script® kütüphanesi
fikira tarafından
AuthLibLibrary "AuthLib" DrawingData   Fields:      kzone1Boxes (array)      kzone2Boxes (array)      kzone3Boxes (array)      kzone4Boxes (array)      kzone5Boxes (array)      kzone6Boxes (array)      kzone1Labels (array)      kzone2Labels (array)      kzone3Labels (array)      kzone4Labels (array)      kzone5Labels (array)      kzone6Labels (array)      kzone1TrendLines (array)      kzone2TrendLines (array)      kzone3TrendLines (array)      kzone4TrendLines (array)      kzone5TrendLines (array)      kzone6TrendLines (array)      kzone1PriceLabels (array)      kzone2PriceLabels (array)      kzone3PriceLabels (array)      kzone4PriceLabels (array)      kzone5PriceLabels (array)      kzone6PriceLabels (array)
Pine Script® kütüphanesi
nuburo tarafından
TrailingStopLibraryLibrary "TrailingStopLibrary" 专业移动止盈库 - 为Pine Script策略提供完整的追踪止盈功能。支持做多做空双向交易，基于风险回报比智能激活，提供收盘价和高低价两种判断模式。包含完整的状态管理、调试信息和易用的API接口。适用于股票、外汇、加密货币等各种市场的风险管理。 @version 1.0 @author runto2006 new_config(enabled, activation_ratio, pullback_percent, price_type)   创建移动止盈配置对象   Parameters:      enabled (bool) : (bool) 是否启用移动止盈，默认true      activation_ratio (float) : (float) 激活盈亏比，默认4.0，表示盈利4倍止损距离时激活      pullback_percent (float) : (float) 回撤百分比，默认1.0，表示回撤1%时触发止盈      price_type (string) : (string) 价格类型，默认"close"。"close"=收盘价模式，"hl"=高低价模式   Returns: Config 配置对象 new_state()   创建移动止盈状态对象   Returns: State 初始化的状态对象 reset(state)   重置移动止盈状态   Parameters:      state (State) : (State) 要重置的状态对象   Returns: void calc_activation_target(entry_price, stop_price, activation_ratio, is_long)   计算激活目标价格   Parameters:      entry_price (float) : (float) 入场价格      stop_price (float) : (float) 止损价格      activation_ratio (float) : (float) 激活盈亏比      is_long (bool) : (bool) 是否为多头持仓   Returns: float 激活目标价格，如果输入无效则返回na get_check_price(price_type, is_long, for_activation)   获取用于判断的价格   Parameters:      price_type (string) : (string) 价格类型："close"或"hl"      is_long (bool) : (bool) 是否为多头持仓      for_activation (bool) : (bool) 是否用于激活判断，影响高低价的选择方向   Returns: float 当前判断价格 check_activation(config, state, entry_price, stop_price, is_long, has_position)   检查是否应该激活移动止盈   Parameters:      config (Config) : (Config) 移动止盈配置      state (State) : (State) 移动止盈状态      entry_price (float) : (float) 入场价格      stop_price (float) : (float) 止损价格      is_long (bool) : (bool) 是否为多头持仓      has_position (bool) : (bool) 是否有持仓   Returns: bool 是否成功激活 update_tracking(config, state, is_long)   更新移动止盈的追踪价格   Parameters:      config (Config) : (Config) 移动止盈配置      state (State) : (State) 移动止盈状态      is_long (bool) : (bool) 是否为多头持仓   Returns: void check_trigger(config, state, entry_price, is_long)   检查是否触发移动止盈   Parameters:      config (Config) : (Config) 移动止盈配置      state (State) : (State) 移动止盈状态      entry_price (float) : (float) 入场价格      is_long (bool) : (bool) 是否为多头持仓   Returns: bool 是否触发止盈 process(config, state, entry_price, stop_price, is_long, has_position)   一体化处理移动止盈逻辑   Parameters:      config (Config) : (Config) 移动止盈配置      state (State) : (State) 移动止盈状态      entry_price (float) : (float) 入场价格      stop_price (float) : (float) 止损价格      is_long (bool) : (bool) 是否为多头持仓      has_position (bool) : (bool) 是否有持仓   Returns: bool 是否触发止盈 get_trigger_price(config, state, is_long)   获取当前触发价格   Parameters:      config (Config) : (Config) 移动止盈配置      state (State) : (State) 移动止盈状态      is_long (bool) : (bool) 是否为多头持仓   Returns: float 触发价格，未激活时返回na get_pullback_percent(config, state, entry_price, is_long)   计算当前回撤百分比   Parameters:      config (Config) : (Config) 移动止盈配置      state (State) : (State) 移动止盈状态      entry_price (float) : (float) 入场价格      is_long (bool) : (bool) 是否为多头持仓   Returns: float 当前回撤百分比，未激活时返回na get_status_info(config, state, entry_price, is_long)   获取状态信息字符串（用于调试）   Parameters:      config (Config) : (Config) 移动止盈配置      state (State) : (State) 移动止盈状态      entry_price (float) : (float) 入场价格      is_long (bool) : (bool) 是否为多头持仓   Returns: string 详细的状态信息 Config   移动止盈配置对象   Fields:      enabled (series bool) : (bool) 是否启用移动止盈功能      activation_ratio (series float) : (float) 激活盈亏比 - 盈利达到止损距离的多少倍时激活追踪      pullback_percent (series float) : (float) 回撤百分比 - 从最优价格回撤多少百分比时触发止盈      price_type (series string) : (string) 价格判断类型 - "close"使用收盘价，"hl"使用高低价 State   移动止盈状态对象   Fields:      activated (series bool) : (bool) 是否已激活追踪止盈      highest_price (series float) : (float) 激活后记录的最高价格      lowest_price (series float) : (float) 激活后记录的最低价格      activation_target (series float) : (float) 激活目标价格
Pine Script® kütüphanesi
l1869688 tarafından
SIC_TICKER_DATAThe SIC Ticker Data is an advanced and efficient library for ticker-to-industry classification and sector analysis. Built with enterprise-grade performance optimizations, this library provides instant access to SIC codes, industry classifications, and peer company data for comprehensive market analysis. Perfect for: Sector rotation strategies, peer analysis, portfolio diversification, market screening, and financial research tools. The simple idea behind this library is to pull any data related to SIC number of any US stock market ticker provided by SEC in order to see the industry and also see the exact competitors of the ticker. The library stores 3 types of data: SIC number, Ticker, and Industry name. What makes it very useful is that you can pull any one of this data using the other. For example, if you would like to know which tickers are inside a certain SIC, or what's the SIC number of a specific ticker, or even which tickers are inside a certain industry, you can use this library to pull this data. The idea for data inside this library is to be accessible in any direction possible as long as they're related to each other. We've also published a simple indicator that uses this library in order to demonstrate the inner workings of this library. The library stores thousands of tickers and their relevant SIC code and industry for your use and is constantly updated with new data when available. This is a large library but it is optimized to run as fast as possible. The previous unpublished versions would take over 40 seconds to load any data but the final public version here loads the data in less than 5 seconds. 🔍 Primary Lookup Functions createDataStore() Initialize the library with all pre-loaded data. store = data.createDataStore() getSicByTicker(store, ticker) Get SIC code for any ticker symbol. sic = data.getSicByTicker(store, "AAPL") // Returns: "3571" getIndustryByTicker(store, ticker) Get industry classification for any ticker. industry = data.getIndustryByTicker(store, "AAPL") // Returns: "Computer Hardware" getTickersBySic(store, sic) Get all companies in a specific SIC code. software = data.getTickersBySic(store, "7372") // Returns: "MSFT,GOOGL,META,V,MA,CRM,ADBE,ORCL,NOW,INTU" getTickersByIndustry(store, industry) Get all companies in an industry. retail = data.getTickersByIndustry(store, "Retail") // Returns: "AMZN,HD,WMT,TGT,COST,LOW" 📊 Array & Analysis Functions getTickerArrayBySic(store, sic) Get tickers as array for processing. techArray = data.getTickerArrayBySic(store, "7372") for i = 0 to array.size(techArray) - 1 ticker = array.get(techArray, i) // Process each tech company getTickerCountBySic(store, sic) Count companies in a sector (ultra-fast). pinescripttechCount = data.getTickerCountBySic(store, "7372") // Returns: 10 🎯 Utility Functions tickerExists(store, ticker) Check if ticker exists in database. exists = data.tickerExists(store, "AAPL") // Returns: true tickerInSic(store, ticker, sic) Check if ticker belongs to specific sector. isInTech = data.tickerInSic(store, "AAPL", "3571") // Returns: true 💡 Usage Examples Example 1: Basic Ticker Lookup // @version=6 import EdgeTerminal/SIC_TICKER_DATA/1 as data indicator("Ticker Analysis", overlay=true) store = data.createDataStore() currentSic = data.getSicByTicker(store, syminfo.ticker) currentIndustry = data.getIndustryByTicker(store, syminfo.ticker) if barstate.islast and currentSic != "NOT_FOUND" label.new(bar_index, high, syminfo.ticker + " SIC: " + currentSic + " Industry: " + currentIndustry) Example 2: Sector Analysis // @version=6 import EdgeTerminal/SIC_TICKER_DATA/1 as data indicator("Sector Comparison", overlay=false) store = data.createDataStore() // Compare sector sizes techCount = data.getTickerCountBySic(store, "7372") // Software financeCount = data.getTickerCountBySic(store, "6199") // Finance healthCount = data.getTickerCountBySic(store, "2834") // Pharmaceutical plot(techCount, title="Tech Companies", color=color.blue) plot(financeCount, title="Finance Companies", color=color.green) plot(healthCount, title="Health Companies", color=color.red) Example 3: Peer Analysis // @version=6 import EdgeTerminal/SIC_TICKER_DATA/1 as data indicator("Find Competitors", overlay=true) store = data.createDataStore() currentSic = data.getSicByTicker(store, syminfo.ticker) if currentSic != "NOT_FOUND" competitors = data.getTickersBySic(store, currentSic) peerCount = data.getTickerCountBySic(store, currentSic) if barstate.islast label.new(bar_index, high, "Competitors (" + str.tostring(peerCount) + "): " + competitors) Example 4: Portfolio Sector Allocation // @version=6 import EdgeTerminal/SIC_TICKER_DATA/1 as data indicator("Portfolio Analysis", overlay=false) store = data.createDataStore() // Analyze your portfolio's sector distribution portfolioTickers = array.from("AAPL", "MSFT", "GOOGL", "JPM", "JNJ") sectorCount = map.new() for i = 0 to array.size(portfolioTickers) - 1 ticker = array.get(portfolioTickers, i) industry = data.getIndustryByTicker(store, ticker) if industry != "NOT_FOUND" currentCount = map.get(sectorCount, industry) newCount = na(currentCount) ? 1 : currentCount + 1 map.put(sectorCount, industry, newCount) 🔧 Advanced Feature You can also bulk load data for large data sets like this: // Pre-format your data as pipe-separated string bulkData = "AAPL:3571:Computer Hardware|MSFT:7372:Software|GOOGL:7372:Software" store = data.createDataStoreFromBulk(bulkData)
Pine Script® kütüphanesi
EdgeTerminal tarafından
ArraysAssorted🟩 OVERVIEW This library provides utility methods for working with arrays in Pine Script. The first method finds extreme values (highest/lowest) within a rolling lookback window and returns both the value and its position. I might extend the library for other ad-hoc methods I use to work with arrays. 🟩 HOW TO USE Pine Script libraries contain reusable code for importing into indicators. You do not need to copy any code out of here. Just import the library and call the method you want. For example, for version 1 of this library, import it like this: import SimpleCryptoLife/ArraysAssorted/1 See the EXAMPLE USAGE sections within the library for examples of calling the methods. You do not need permission to use Pine libraries in your open-source scripts. However, you do need explicit permission to reuse code from a Pine Script library’s functions in a public protected or invite-only publication . In any case, credit the author in your description. It is also good form to credit in open-source comments. For more information on libraries and incorporating them into your scripts, see the Libraries section of the Pine Script User Manual. 🟩 METHOD 1: m_getHighestLowestFloat() Finds the highest or lowest float value from an array. Simple enough. It also returns the index of the value as an offset from the end of the array. • It works with rolling lookback windows, so you can find extremes within the last N elements • It includes an offset parameter to skip recent elements if needed • It handles edge cases like empty arrays and invalid ranges gracefully • It can find either the first or last occurrence of the extreme value We also export two enums whose sole purpose is to look pretty as method arguments. method m_getHighestLowestFloat(_self, _highestLowest, _lookbackBars, _offset, _firstLastType) Namespace types: array This method finds the highest or lowest value in a float array within a rolling lookback window, and returns the value along with the offset (number of elements back from the end of the array) of its first or last occurrence. Parameters: _self (array) : The array of float values to search for extremes. _highestLowest (HighestLowest) : Whether to search for the highest or lowest value. Use the enum value HighestLowest.highest or HighestLowest.lowest. _lookbackBars (int) : The number of array elements to include in the rolling lookback window. Must be positive. Note: Array elements only correspond to bars if the consuming script always adds exactly one element on consecutive bars. _offset (int) : The number of array elements back from the end of the array to start the lookback window. A value of zero means no offset. The _offset parameter offsets both the beginning and end of the range. _firstLastType (FirstLast) : Whether to return the offset of the first (lowest index) or last (highest index) occurrence of the extreme value. Use FirstLast.first or FirstLast.last. Returns: (tuple) A tuple containing the highest or lowest value and its offset -- the number of elements back from the end of the array. If not found, returns . NOTE: The _offsetFromEndOfArray value is not affected by the _offset parameter. In other words, it is not the offset from the end of the range but from the end of the array. This number may or may not have any relation to the number of *bars* back, depending on how the array is populated. The calling code needs to figure that out. EXPORTED ENUMS HighestLowest Whether to return the highest value or lowest value in the range. • highest : Find the highest value in the specified range • lowest : Find the lowest value in the specified range FirstLast Whether to return the first (lowest index) or last (highest index) occurrence of the extreme value. • first : Return the offset of the first occurrence of the extreme value • last : Return the offset of the last occurrence of the extreme value
Pine Script® kütüphanesi
SimpleCryptoLife tarafından
fibpointLibrary "fibpoint" A library for generating Fibonacci retracement levels on a chart, including customizable lines, labels, and filled areas between levels. It provides functionality to plot Fibonacci levels based on given price points and bar indices, with options for custom levels and colors. getFib(startPoint, endPoint, startIdx, endIdx, fibLevels, fibColors, tsp)   Calculates Fibonacci retracement levels between two price points and draws corresponding lines and labels on the chart.   Parameters:      startPoint (float) : The starting price point for the Fibonacci retracement.      endPoint (float) : The ending price point for the Fibonacci retracement.      startIdx (int) : The bar index where the Fibonacci retracement starts.      endIdx (int) : The bar index where the Fibonacci retracement ends.      fibLevels (array) : An optional array of custom Fibonacci levels (default is ).      fibColors (array) : An optional array of colors for each Fibonacci level (default is a predefined color array).      tsp (int) : The transparency level for the fill between Fibonacci levels (default is 90).   Returns: A tuple containing an array of fibItem objects (each with a line and label) and an array of linefill objects for the filled areas between levels. fibItem   A custom type representing a Fibonacci level with its associated line and label.   Fields:      line (series line) : The line object drawn for the Fibonacci level.      label (series label) : The label object displaying the Fibonacci level value.
Pine Script® kütüphanesi
protradingart tarafından
lib_core_utilsLibrary "lib_core_utils" Core utility functions for Pine Script strategies Provides safe mathematical operations, array management, and basic helpers Version: 1.0.0 Author: NQ Hybrid Strategy Team Last Updated: 2025-06-18 =================================================================== safe_division(numerator, denominator)   safe_division @description Performs division with safety checks for zero denominators and invalid values   Parameters:      numerator (float) : (float) The numerator value      denominator (float) : (float) The denominator value   Returns: (float) Result of division, or 0.0 if invalid safe_division_detailed(numerator, denominator)   safe_division_detailed @description Enhanced division with detailed result information   Parameters:      numerator (float) : (float) The numerator value      denominator (float) : (float) The denominator value   Returns: (SafeCalculationResult) Detailed calculation result safe_multiply(a, b)   safe_multiply @description Performs multiplication with safety checks for overflow and invalid values   Parameters:      a (float) : (float) First multiplier      b (float) : (float) Second multiplier   Returns: (float) Result of multiplication, or 0.0 if invalid safe_add(a, b)   safe_add @description Performs addition with safety checks   Parameters:      a (float) : (float) First addend      b (float) : (float) Second addend   Returns: (float) Result of addition, or 0.0 if invalid safe_subtract(a, b)   safe_subtract @description Performs subtraction with safety checks   Parameters:      a (float) : (float) Minuend      b (float) : (float) Subtrahend   Returns: (float) Result of subtraction, or 0.0 if invalid safe_abs(value)   safe_abs @description Safe absolute value calculation   Parameters:      value (float) : (float) Input value   Returns: (float) Absolute value, or 0.0 if invalid safe_max(a, b)   safe_max @description Safe maximum value calculation   Parameters:      a (float) : (float) First value      b (float) : (float) Second value   Returns: (float) Maximum value, handling NA cases safe_min(a, b)   safe_min @description Safe minimum value calculation   Parameters:      a (float) : (float) First value      b (float) : (float) Second value   Returns: (float) Minimum value, handling NA cases safe_array_get(arr, index)   safe_array_get @description Safely retrieves value from array with bounds checking   Parameters:      arr (array) : (array) The array to access      index (int) : (int) Index to retrieve   Returns: (float) Value at index, or na if invalid safe_array_push(arr, value, max_size)   safe_array_push @description Safely pushes value to array with size management   Parameters:      arr (array) : (array) The array to modify      value (float) : (float) Value to push      max_size (int) : (int) Maximum array size   Returns: (bool) True if push was successful safe_array_unshift(arr, value, max_size)   safe_array_unshift @description Safely adds value to beginning of array with size management   Parameters:      arr (array) : (array) The array to modify      value (float) : (float) Value to add at beginning      max_size (int) : (int) Maximum array size   Returns: (bool) True if unshift was successful get_array_stats(arr, max_size)   get_array_stats @description Gets statistics about an array   Parameters:      arr (array) : (array) The array to analyze      max_size (int) : (int) The maximum allowed size   Returns: (ArrayStats) Statistics about the array cleanup_array(arr, target_size)   cleanup_array @description Cleans up array by removing old elements if it's too large   Parameters:      arr (array) : (array) The array to cleanup      target_size (int) : (int) Target size after cleanup   Returns: (int) Number of elements removed is_valid_price(price)   is_valid_price @description Checks if a price value is valid for trading calculations   Parameters:      price (float) : (float) Price to validate   Returns: (bool) True if price is valid is_valid_volume(vol)   is_valid_volume @description Checks if a volume value is valid   Parameters:      vol (float) : (float) Volume to validate   Returns: (bool) True if volume is valid sanitize_price(price, default_value)   sanitize_price @description Sanitizes price value to ensure it's within valid range   Parameters:      price (float) : (float) Price to sanitize      default_value (float) : (float) Default value if price is invalid   Returns: (float) Sanitized price value sanitize_percentage(pct)   sanitize_percentage @description Sanitizes percentage value to 0-100 range   Parameters:      pct (float) : (float) Percentage to sanitize   Returns: (float) Sanitized percentage (0-100) is_session_active(session_string, timezone)   Parameters:      session_string (string)      timezone (string) get_session_progress(session_string, timezone)   Parameters:      session_string (string)      timezone (string) format_price(price, decimals)   Parameters:      price (float)      decimals (int) format_percentage(pct, decimals)   Parameters:      pct (float)      decimals (int) bool_to_emoji(condition, true_emoji, false_emoji)   Parameters:      condition (bool)      true_emoji (string)      false_emoji (string) log_debug(message, level)   Parameters:      message (string)      level (string) benchmark_start() benchmark_end(start_time)   Parameters:      start_time (int) get_library_info() get_library_version() SafeCalculationResult   SafeCalculationResult   Fields:      value (series float) : (float) The calculated value      is_valid (series bool) : (bool) Whether the calculation was successful      error_message (series string) : (string) Error description if calculation failed ArrayStats   ArrayStats   Fields:      size (series int) : (int) Current array size      max_size (series int) : (int) Maximum allowed size      is_full (series bool) : (bool) Whether array has reached max capacity
Pine Script® kütüphanesi
thrilledRider95020 tarafından
WebhookGeneratorLibrary "WebhookGenerator" Generates Json objects for webhook messages. GenerateOT(license_id, symbol, action, order_type, trade_type, size, price, tp, sl, risk, trailPrice, trailOffset)   CreateOrderTicket: Establishes a order ticket.   Parameters:      license_id (string) : Provide your license index      symbol (string) : Symbol on which to execute the trade      action (string) : Execution method of the trade : "MRKT" or "PENDING"      order_type (string) : Direction type of the order: "BUY" or "SELL"      trade_type (string) : Is it a "SPREAD" trade or a "SINGLE" symbol execution?      size (float) : Size of the trade, in units      price (float) : If the order is pending you must specify the execution price      tp (float) : (Optional) Take profit of the order      sl (float) : (Optional) Stop loss of the order      risk (float) : Percent to risk for the trade, if size not specified      trailPrice (float) : (Optional) Price at which trailing stop is starting      trailOffset (float) : (Optional) Amount to trail by   Returns: Return Order string
Pine Script® kütüphanesi
pinetraderinc tarafından
AllCandlestickPatternsLibraryAll Candlestick Patterns Library The Candlestick Patterns Library is a Pine Script (version 6) library extracted from the All Candlestick Patterns indicator. It provides a comprehensive set of functions to calculate candlestick properties, detect market trends, and identify various candlestick patterns (bullish, bearish, and neutral). The library is designed for reusability, enabling TradingView users to incorporate pattern detection into their own scripts, such as indicators or strategies. The library is organized into three main sections: Trend Detection: Functions to determine market trends (uptrend or downtrend) based on user-defined rules. Candlestick Property Calculations: A function to compute core properties of a candlestick, such as body size, shadow lengths, and doji characteristics. Candlestick Pattern Detection: Functions to detect specific candlestick patterns, each returning a tuple with detection status, pattern name, type, and description. Library Structure 1. Trend Detection This section includes the detectTrend function, which identifies whether the market is in an uptrend or downtrend based on user-specified rules, such as the relationship between the closing price and Simple Moving Averages (SMAs). Function: detectTrend Parameters: downTrend (bool): Initial downtrend condition. upTrend (bool): Initial uptrend condition. trendRule (string): The rule for trend detection ("SMA50" or "SMA50, SMA200"). p_close (float): Current closing price. sma50 (float): Simple Moving Average over 50 periods. sma200 (float): Simple Moving Average over 200 periods. Returns: A tuple indicating the detected trend. Logic: If trendRule is "SMA50", a downtrend is detected when p_close < sma50, and an uptrend when p_close > sma50. If trendRule is "SMA50, SMA200", a downtrend is detected when p_close < sma50 and sma50 < sma200, and an uptrend when p_close > sma50 and sma50 > sma200. 2. Candlestick Property Calculations This section includes the calculateCandleProperties function, which computes essential properties of a candlestick based on OHLC (Open, High, Low, Close) data and configuration parameters. Function: calculateCandleProperties Parameters: p_open (float): Candlestick open price. p_close (float): Candlestick close price. p_high (float): Candlestick high price. p_low (float): Candlestick low price. bodyAvg (float): Average body size (e.g., from EMA of body sizes). shadowPercent (float): Minimum shadow size as a percentage of body size. shadowEqualsPercent (float): Tolerance for equal shadows in doji detection. dojiBodyPercent (float): Maximum body size as a percentage of range for doji detection. Returns: A tuple containing 17 properties: C_BodyHi (float): Higher of open or close price. C_BodyLo (float): Lower of open or close price. C_Body (float): Body size (difference between C_BodyHi and C_BodyLo). C_SmallBody (bool): True if body size is below bodyAvg. C_LongBody (bool): True if body size is above bodyAvg. C_UpShadow (float): Upper shadow length (p_high - C_BodyHi). C_DnShadow (float): Lower shadow length (C_BodyLo - p_low). C_HasUpShadow (bool): True if upper shadow exceeds shadowPercent of body. C_HasDnShadow (bool): True if lower shadow exceeds shadowPercent of body. C_WhiteBody (bool): True if candle is bullish (p_open < p_close). C_BlackBody (bool): True if candle is bearish (p_open > p_close). C_Range (float): Candlestick range (p_high - p_low). C_IsInsideBar (bool): True if current candle body is inside the previous candle's body. C_BodyMiddle (float): Midpoint of the candle body. C_ShadowEquals (bool): True if upper and lower shadows are equal within shadowEqualsPercent. C_IsDojiBody (bool): True if body size is small relative to range (C_Body <= C_Range * dojiBodyPercent / 100). C_Doji (bool): True if the candle is a doji (C_IsDojiBody and C_ShadowEquals). Purpose: These properties are used by pattern detection functions to evaluate candlestick formations. 3. Candlestick Pattern Detection This section contains functions to detect specific candlestick patterns, each returning a tuple . The patterns are categorized as bullish, bearish, or neutral, and include detailed descriptions for use in tooltips or alerts. Supported Patterns The library supports the following candlestick patterns, grouped by type: Bullish Patterns: Rising Window: A two-candle continuation pattern in an uptrend with a price gap between the first candle's high and the second candle's low. Rising Three Methods: A five-candle continuation pattern with a long green candle, three short red candles, and another long green candle. Tweezer Bottom: A two-candle reversal pattern in a downtrend with nearly identical lows. Upside Tasuki Gap: A three-candle continuation pattern in an uptrend with a gap between the first two green candles and a red candle closing partially into the gap. Doji Star (Bullish): A two-candle reversal pattern in a downtrend with a long red candle followed by a doji gapping down. Morning Doji Star: A three-candle reversal pattern with a long red candle, a doji gapping down, and a long green candle. Piercing: A two-candle reversal pattern in a downtrend with a red candle followed by a green candle closing above the midpoint of the first. Hammer: A single-candle reversal pattern in a downtrend with a small body and a long lower shadow. Inverted Hammer: A single-candle reversal pattern in a downtrend with a small body and a long upper shadow. Morning Star: A three-candle reversal pattern with a long red candle, a short candle gapping down, and a long green candle. Marubozu White: A single-candle pattern with a long green body and minimal shadows. Dragonfly Doji: A single-candle reversal pattern in a downtrend with a doji where open and close are at the high. Harami Cross (Bullish): A two-candle reversal pattern in a downtrend with a long red candle followed by a doji inside its body. Harami (Bullish): A two-candle reversal pattern in a downtrend with a long red candle followed by a small green candle inside its body. Long Lower Shadow: A single-candle pattern with a long lower shadow indicating buyer strength. Three White Soldiers: A three-candle reversal pattern with three long green candles in a downtrend. Engulfing (Bullish): A two-candle reversal pattern in a downtrend with a small red candle followed by a larger green candle engulfing it. Abandoned Baby (Bullish): A three-candle reversal pattern with a long red candle, a doji gapping down, and a green candle gapping up. Tri-Star (Bullish): A three-candle reversal pattern with three doji candles in a downtrend, with gaps between them. Kicking (Bullish): A two-candle reversal pattern with a bearish marubozu followed by a bullish marubozu gapping up. Bearish Patterns: On Neck: A two-candle continuation pattern in a downtrend with a long red candle followed by a short green candle closing near the first candle's low. Falling Window: A two-candle continuation pattern in a downtrend with a price gap between the first candle's low and the second candle's high. Falling Three Methods: A five-candle continuation pattern with a long red candle, three short green candles, and another long red candle. Tweezer Top: A two-candle reversal pattern in an uptrend with nearly identical highs. Dark Cloud Cover: A two-candle reversal pattern in an uptrend with a green candle followed by a red candle opening above the high and closing below the midpoint. Downside Tasuki Gap: A three-candle continuation pattern in a downtrend with a gap between the first two red candles and a green candle closing partially into the gap. Evening Doji Star: A three-candle reversal pattern with a long green candle, a doji gapping up, and a long red candle. Doji Star (Bearish): A two-candle reversal pattern in an uptrend with a long green candle followed by a doji gapping up. Hanging Man: A single-candle reversal pattern in an uptrend with a small body and a long lower shadow. Shooting Star: A single-candle reversal pattern in an uptrend with a small body and a long upper shadow. Evening Star: A three-candle reversal pattern with a long green candle, a short candle gapping up, and a long red candle. Marubozu Black: A single-candle pattern with a long red body and minimal shadows. Gravestone Doji: A single-candle reversal pattern in an uptrend with a doji where open and close are at the low. Harami Cross (Bearish): A two-candle reversal pattern in an uptrend with a long green candle followed by a doji inside its body. Harami (Bearish): A two-candle reversal pattern in an uptrend with a long green candle followed by a small red candle inside its body. Long Upper Shadow: A single-candle pattern with a long upper shadow indicating seller strength. Three Black Crows: A three-candle reversal pattern with three long red candles in an uptrend. Engulfing (Bearish): A two-candle reversal pattern in an uptrend with a small green candle followed by a larger red candle engulfing it. Abandoned Baby (Bearish): A three-candle reversal pattern with a long green candle, a doji gapping up, and a red candle gapping down. Tri-Star (Bearish): A three-candle reversal pattern with three doji candles in an uptrend, with gaps between them. Kicking (Bearish): A two-candle reversal pattern with a bullish marubozu followed by a bearish marubozu gapping down. Neutral Patterns: Doji: A single-candle pattern with a very small body, indicating indecision. Spinning Top White: A single-candle pattern with a small green body and long upper and lower shadows, indicating indecision. Spinning Top Black: A single-candle pattern with a small red body and long upper and lower shadows, indicating indecision. Pattern Detection Functions Each pattern detection function evaluates specific conditions based on candlestick properties (from calculateCandleProperties) and trend conditions (from detectTrend). The functions return: detected (bool): True if the pattern is detected. name (string): The name of the pattern (e.g., "On Neck"). type (string): The pattern type ("Bullish", "Bearish", or "Neutral"). description (string): A detailed description of the pattern for use in tooltips or alerts. For example, the detectOnNeckBearish function checks for a bearish On Neck pattern by verifying a downtrend, a long red candle followed by a short green candle, and specific price relationships. Usage Example To use the library in a TradingView indicator, you can import it and call its functions as shown below: //@version=6 indicator("Candlestick Pattern Detector", overlay=true) import CandlestickPatternsLibrary as cp // Calculate SMA for trend detection sma50 = ta.sma(close, 50) sma200 = ta.sma(close, 200) = cp.detectTrend(true, true, "SMA50", close, sma50, sma200) // Calculate candlestick properties bodyAvg = ta.ema(math.max(close, open) - math.min(close, open), 14) = cp.calculateCandleProperties(open, close, high, low, bodyAvg, 5.0, 100.0, 5.0) // Detect a pattern (e.g., On Neck Bearish) = cp.detectOnNeckBearish(downTrend, blackBody, longBody, whiteBody, open, close, low, bodyAvg, smallBody, candleRange) if onNeckDetected label.new(bar_index, low, onNeckName, style=label.style_label_up, color=color.red, textcolor=color.white, tooltip=onNeckDesc) // Detect another pattern (e.g., Piercing Bullish) = cp.detectPiercingBullish(downTrend, blackBody, longBody, whiteBody, open, low, close, bodyMiddle) if piercingDetected label.new(bar_index, low, piercingName, style=label.style_label_up, color=color.blue, textcolor=color.white, tooltip=piercingDesc) Steps in the Example Import the Library: Use import CandlestickPatternsLibrary as cp to access the library's functions. Calculate Trend: Use detectTrend to determine the market trend based on SMA50 or SMA50/SMA200 rules. Calculate Candlestick Properties: Use calculateCandleProperties to compute properties like body size, shadow lengths, and doji status. Detect Patterns: Call specific pattern detection functions (e.g., detectOnNeckBearish, detectPiercingBullish) and use the returned values to display labels or alerts. Visualize Patterns: Use label.new to display detected patterns on the chart with their names, types, and descriptions. Key Features Modularity: The library is designed as a standalone module, making it easy to integrate into other Pine Script projects. Comprehensive Pattern Coverage: Supports over 40 candlestick patterns, covering bullish, bearish, and neutral formations. Detailed Documentation: Each function includes comments with @param and @returns annotations for clarity. Reusability: Can be used in indicators, strategies, or alerts by importing the library and calling its functions. Extracted from All Candlestick Patterns: The library is derived from the All Candlestick Patterns indicator, ensuring it inherits a well-tested foundation for pattern detection. Notes for Developers Pine Script Version: The library uses Pine Script version 6, as specified by //@version=6. Parameter Naming: Parameters use prefixes like p_ (e.g., p_open, p_close) to avoid conflicts with built-in variables. Error Handling: The library has been fixed to address issues like undeclared identifiers (C_SmallBody, C_Range), unused arguments (factor), and improper comment formatting. Testing: Developers should test the library in TradingView to ensure patterns are detected correctly under various market conditions. Customization: Users can adjust parameters like bodyAvg, shadowPercent, shadowEqualsPercent, and dojiBodyPercent in calculateCandleProperties to fine-tune pattern detection sensitivity. Conclusion The Candlestick Patterns Library, extracted from the All Candlestick Patterns indicator, is a powerful tool for traders and developers looking to implement candlestick pattern detection in TradingView. Its modular design, comprehensive pattern support, and detailed documentation make it an ideal choice for building custom indicators or strategies. By leveraging the library's functions, users can analyze market trends, compute candlestick properties, and detect a wide range of patterns to inform their trading decisions.
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