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Luxy trend & Momentum Indicators Suit V2Luxy Trend & Momentum Indicator Suite V2 The Luxy Trend & Momentum Suite V2 is a multi-purpose technical analysis tool designed to help traders quickly identify high-probability trend-following and momentum-based entries across timeframes. This tool combines the most battle-tested market filters (EMAs, VWAP, MACD, ZLSMA, Supertrend, UT Bot, Volume/ADX/RSI filters) into a unified signal framework — backed by an optional Bias Table that displays alignment across methods and timeframes. BACKGROUND — ABOUT THIS METHOD This Indicators Suite is based on momentum-trend alignment , a trading methodology that: * Confirms trend structure using moving averages (EMA crossovers & price vs EMA-200), * Validates trend strength using MACD separation, volume pressure, and ADX confirmation, * Confirms timing using momentum oscillators (RSI pullbacks), VWAP positioning, and trend filters, * Optionally delays entries using the UT Bot trailing confirmation or Supertrend . It's a multi-layered filtering helps reduce false signals, especially in choppy conditions. USAGE This indicator is best suited for: Intraday trend trading (scalping or day trading), Swing trading based on HTF confirmation (1D/1W), Combining bias + technical signal + volume + price context for cleaner entries. It is especially powerful on assets with well-defined structure (e.g., crypto, indices, high-volume stocks). Signal Labels The script plots `LONG` (green) or `SHORT` (red) labels when all your configured filters align. ✅ To use these labels effectively: Only take LONG signals when the bias table shows green ("BULLISH"), Only take SHORT when the bias table shows red ("BEARISH"), Avoid signals on NEUTRAL bias (gray), or consider smaller positions. Bias Table Panel The indicator features a compact Bias summary table , showing the current directional bias from: Timeframe trends (1H, 4H, 1D) Indicator states (EMA cross, EMA200, VWAP, MACD, ZLSMA, UT Bot, Supertrend) Each cell is color-coded: 🟢 Green = Bullish 🔴 Red = Bearish ⚪ Gray = Neutral Trend Filters These are the primary trend components: EMA Short vs Long : Fast/Slow structure EMA-200 : Long-term bias ZLSMA : Zero-lag regression slope Supertrend : Dynamic trendline with noise-filtering UT Bot : ATR-based trailing signal with optional filters (swing, %change, delay) Momentum & Entry Filters The indicator offers several modular filters to refine entry signals: ✅ MACD Separation : Requires a minimum spread between MACD and Signal line (adjustable in ATR units). ✅ VWAP Filter : Confirms that price is above/below anchored VWAP. ✅ RSI Pullback Zone : Only triggers signals when RSI is between configured pullback ranges. ✅ Volume Strength : Only confirms signals when current volume is above SMA × factor (e.g. 1.2×). ✅ ADX/DI Filter : Enforces trend strength requirements based on ADX, DI+ and DI-. RECOMMENDED WORKFLOWS 🔹 Intraday Trend Trading Primary TF: "1H" Confirmation: "4H" Bias method: EMA(20/50) or ZLSMA Lookback: 5 bars VWAP: Session anchor UT Bot: Enabled with 1.3 sensitivity, ATR=10 🔹 Swing Trading Primary TF: "1D" Confirmation: "1W" Bias method: EMA(20/50) or MACD Lookback: 10–20 VWAP: Weekly or Monthly UT Bot: Disabled or conservative (1.7 key, ATR=14) 🔹 Position Trading Primary: "1W" Confirmation: "1M" Bias method: EMA(50/200) Filters: Strong MACD + Volume + ADX UT: Disabled SETTINGS You can customize: All EMA lengths (short, long, very long) MACD periods and buffer thresholds VWAP anchor and bands mode (Std Dev or %) ZLSMA length and offset UT Bot sensitivity, ATR, and filters Supertrend ATR logic and neutral bars Volume, ADX, RSI, and Donchian breakouts Table text size, position, and visibility Each input includes tooltips with suggested ranges and explanations. 🔶 LIMITATIONS This is an **indicator**, not a strategy. It does **not place orders**. UT Bot and Bias alignment work better on assets with structure and volume. Repainting is avoided by using bar close logic where possible. Corporate-event VWAPs (Earnings, Dividends) depend on data availability. Always backtest , adjust filters per asset, and confirm entries with price action and context. 📧 Feedback & improvement requests:
Индикатор Pine Script®
от orenluxy
PineConnectorLibrary "PineConnector" This library is a comprehensive alert webhook text generator for PineConnector. It contains every possible alert syntax variation from the documentation, along with some debugging functions. To use it, just import the library (eg. "import ZenAndTheArtOfTrading/PineConnector/1 as pc") and use pc.buy(licenseID) to send an alert off to PineConnector - assuming all your webhooks etc are set up correctly. View the PineConnector documentation for more information on how to send the commands you're looking to send (all of this library's function names match the documentation). all()   Usage: pc.buy(pc_id, freq=pc.all())   Returns: "all" once_per_bar()   Usage: pc.buy(pc_id, freq=pc.once_per_bar())   Returns: "once_per_bar" once_per_bar_close()   Usage: pc.buy(pc_id, freq=pc.once_per_bar_close())   Returns: "once_per_bar_close" na0(value)   Checks if given value is either 'na' or 0. Useful for streamlining scripts with float user setting inputs which default values to 0 since na is unavailable as a user input default.   Parameters:      value (float) : The value to check   Returns: True if the given value is 0 or na getDecimals()   Calculates how many decimals are on the quote price of the current market.   Returns: The current decimal places on the market quote price truncate(number, decimals)   Truncates the given number. Required params: mumber.   Parameters:      number (float) : Number to truncate      decimals (int) : Decimal places to cut down to   Returns: The input number, but as a string truncated to X decimals getPipSize(multiplier)   Calculates the pip size of the current market.   Parameters:      multiplier (int) : The mintick point multiplier (1 by default, 10 for FX/Crypto/CFD but can be used to override when certain markets require)   Returns: The pip size for the current market toWhole(number)   Converts pips into whole numbers. Required params: number.   Parameters:      number (float) : The pip number to convert into a whole number   Returns: The converted number toPips(number)   Converts whole numbers back into pips. Required params: number.   Parameters:      number (float) : The whole number to convert into pips   Returns: The converted number debug(txt, tooltip, displayLabel)   Prints to console and generates a debug label with the given text. Required params: txt.   Parameters:      txt (string) : Text to display      tooltip (string) : Tooltip to display (optional)      displayLabel (bool) : Turns on/off chart label (default: off)   Returns: Nothing order(licenseID, command, symbol, parameters, accfilter, comment, secret, freq, debug)   Generates an alert string. Required params: licenseID, command.   Parameters:      licenseID (string) : Your PC license ID      command (string) : Command to send      symbol (string) : The symbol to trigger this order on      parameters (string) : Other optional parameters to include      accfilter (float) : Optional minimum account balance filter      comment (string) : Optional comment (maximum 20 characters)      secret (string) : Optional secret key (must be enabled in dashboard)      freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"      debug (bool) : Turns on/off debug label   Returns: An alert string with valid PC syntax based on supplied parameters market_order(licenseID, buy, risk, sl, tp, betrigger, beoffset, spread, trailtrig, traildist, trailstep, atrtimeframe, atrperiod, atrmultiplier, atrshift, atrtrigger, symbol, accfilter, comment, secret, freq, debug)   Generates a market entry alert with relevant syntax commands. Required params: licenseID, buy, risk.   Parameters:      licenseID (string) : Your PC license ID      buy (bool) : true=buy/long, false=sell/short      risk (float) : Risk quantity (according to EA settings)      sl (float) : Stop loss distance in pips or price      tp (float) : Take profit distance in pips or price      betrigger (float) : Breakeven will be activated after the position gains this number of pips      beoffset (float) : Offset from entry price. This is the amount of pips you'd like to protect      spread (float) : Enter the position only if the spread is equal or less than the specified value in pips      trailtrig (float) : Trailing stop-loss will be activated after a trade gains this number of pips      traildist (float) : Distance of the trailing stop-loss from current price      trailstep (float) : Moves trailing stop-loss once price moves to favourable by a specified number of pips      atrtimeframe (int) : ATR Trailing Stop timeframe, only updates once per bar close. Options: 1, 5, 15, 30, 60, 240, 1440      atrperiod (int) : ATR averaging period      atrmultiplier (float) : Multiple of ATR to utilise in the new SL computation, default = 1      atrshift (int) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default = 0      atrtrigger (int) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default = 0 (instant)      symbol (string) : The symbol to trigger this order on (defaults to current symbol)      accfilter (float) : Optional minimum account balance filter      comment (string) : Optional comment (maximum 20 characters)      secret (string) : Optional secret key (must be enabled in dashboard)      freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"      debug (bool) : Turns on/off debug label   Returns: A market order alert string with valid PC syntax based on supplied parameters buy(licenseID, risk, sl, tp, betrigger, beoffset, spread, trailtrig, traildist, trailstep, atrtimeframe, atrperiod, atrmultiplier, atrshift, atrtrigger, symbol, accfilter, comment, secret, freq, debug)   Generates a market buy alert with relevant syntax commands. Required params: licenseID, risk.   Parameters:      licenseID (string) : Your PC license ID      risk (float) : Risk quantity (according to EA settings)      sl (float) : Stop loss distance in pips or price      tp (float) : Take profit distance in pips or price      betrigger (float) : Breakeven will be activated after the position gains this number of pips      beoffset (float) : Offset from entry price. This is the amount of pips you'd like to protect      spread (float) : Enter the position only if the spread is equal or less than the specified value in pips      trailtrig (float) : Trailing stop-loss will be activated after a trade gains this number of pips      traildist (float) : Distance of the trailing stop-loss from current price      trailstep (float) : Moves trailing stop-loss once price moves to favourable by a specified number of pips      atrtimeframe (int) : ATR Trailing Stop timeframe, only updates once per bar close. Options: 1, 5, 15, 30, 60, 240, 1440      atrperiod (int) : ATR averaging period      atrmultiplier (float) : Multiple of ATR to utilise in the new SL computation, default = 1      atrshift (int) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default = 0      atrtrigger (int) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default = 0 (instant)      symbol (string) : The symbol to trigger this order on (defaults to current symbol)      accfilter (float) : Optional minimum account balance filter      comment (string) : Optional comment (maximum 20 characters)      secret (string) : Optional secret key (must be enabled in dashboard)      freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"      debug (bool) : Turns on/off debug label   Returns: A market order alert string with valid PC syntax based on supplied parameters sell(licenseID, risk, sl, tp, betrigger, beoffset, spread, trailtrig, traildist, trailstep, atrtimeframe, atrperiod, atrmultiplier, atrshift, atrtrigger, symbol, accfilter, comment, secret, freq, debug)   Generates a market sell alert with relevant syntax commands. Required params: licenseID, risk.   Parameters:      licenseID (string) : Your PC license ID      risk (float) : Risk quantity (according to EA settings)      sl (float) : Stop loss distance in pips or price      tp (float) : Take profit distance in pips or price      betrigger (float) : Breakeven will be activated after the position gains this number of pips      beoffset (float) : Offset from entry price. This is the amount of pips you'd like to protect      spread (float) : Enter the position only if the spread is equal or less than the specified value in pips      trailtrig (float) : Trailing stop-loss will be activated after a trade gains this number of pips      traildist (float) : Distance of the trailing stop-loss from current price      trailstep (float) : Moves trailing stop-loss once price moves to favourable by a specified number of pips      atrtimeframe (int) : ATR Trailing Stop timeframe, only updates once per bar close. Options: 1, 5, 15, 30, 60, 240, 1440      atrperiod (int) : ATR averaging period      atrmultiplier (float) : Multiple of ATR to utilise in the new SL computation, default = 1      atrshift (int) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default = 0      atrtrigger (int) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default = 0 (instant)      symbol (string) : The symbol to trigger this order on (defaults to current symbol)      accfilter (float) : Optional minimum account balance filter      comment (string) : Optional comment (maximum 20 characters)      secret (string) : Optional secret key (must be enabled in dashboard)      freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"      debug (bool) : Turns on/off debug label   Returns: A market order alert string with valid PC syntax based on supplied parameters closeall(licenseID, comment, secret, freq, debug)   Closes all open trades at market regardless of symbol. Required params: licenseID.   Parameters:      licenseID (string) : Your PC license ID      comment (string) : Optional comment to include (max 20 characters)      secret (string) : Optional secret key (must be enabled in dashboard)      freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"      debug (bool) : Turns on/off debug label   Returns: The required alert syntax as a string closealleaoff(licenseID, comment, secret, freq, debug)   Closes all open trades at market regardless of symbol, and turns the EA off. Required params: licenseID.   Parameters:      licenseID (string) : Your PC license ID      comment (string) : Optional comment to include (max 20 characters)      secret (string) : Optional secret key (must be enabled in dashboard)      freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"      debug (bool) : Turns on/off debug label   Returns: The required alert syntax as a string closelong(licenseID, symbol, comment, secret, freq, debug)   Closes all long trades at market for the given symbol. Required params: licenseID.   Parameters:      licenseID (string) : Your PC license ID      symbol (string) : Symbol to act on (defaults to current symbol)      comment (string) : Optional comment to include (max 20 characters)      secret (string) : Optional secret key (must be enabled in dashboard)      freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"      debug (bool) : Turns on/off debug label   Returns: The required alert syntax as a string closeshort(licenseID, symbol, comment, secret, freq, debug)   Closes all open short trades at market for the given symbol. Required params: licenseID.   Parameters:      licenseID (string) : Your PC license ID      symbol (string) : Symbol to act on (defaults to current symbol)      comment (string) : Optional comment to include (max 20 characters)      secret (string) : Optional secret key (must be enabled in dashboard)      freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"      debug (bool) : Turns on/off debug label   Returns: The required alert syntax as a string closelongshort(licenseID, symbol, comment, secret, freq, debug)   Closes all open trades at market for the given symbol. Required params: licenseID.   Parameters:      licenseID (string) : Your PC license ID      symbol (string) : Symbol to act on (defaults to current symbol)      comment (string) : Optional comment to include (max 20 characters)      secret (string) : Optional secret key (must be enabled in dashboard)      freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"      debug (bool) : Turns on/off debug label   Returns: The required alert syntax as a string closelongbuy(licenseID, risk, symbol, comment, secret, freq, debug)   Close all long positions and open a new long at market for the given symbol with given risk/contracts. Required params: licenseID.   Parameters:      licenseID (string) : Your PC license ID      risk (float) : Risk or contracts (according to EA settings)      symbol (string) : Symbol to act on (defaults to current symbol)      comment (string) : Optional comment to include (max 20 characters)      secret (string) : Optional secret key (must be enabled in dashboard)      freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"      debug (bool) : Turns on/off debug label   Returns: The required alert syntax as a string closeshortsell(licenseID, risk, symbol, comment, secret, freq, debug)   Close all short positions and open a new short at market for the given symbol with given risk/contracts. Required params: licenseID, risk.   Parameters:      licenseID (string) : Your PC license ID      risk (float) : Risk or contracts (according to EA settings)      symbol (string) : Symbol to act on (defaults to current symbol)      comment (string) : Optional comment to include (max 20 characters)      secret (string) : Optional secret key (must be enabled in dashboard)      freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"      debug (bool) : Turns on/off debug label   Returns: The required alert syntax as a string newsltplong(licenseID, sl, tp, symbol, accfilter, comment, secret, freq, debug)   Updates the stop loss and/or take profit of any open long trades on the given symbol with the given values. Required params: licenseID, sl and/or tp.   Parameters:      licenseID (string) : Your PC license ID      sl (float) : Stop loss pips or price (according to EA settings)      tp (float) : Take profit pips or price (according to EA settings)      symbol (string) : Symbol to act on (defaults to current symbol)      accfilter (float) : Optional minimum account balance filter      comment (string) : Optional comment to include (max 20 characters)      secret (string) : Optional secret key (must be enabled in dashboard)      freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"      debug (bool) : Turns on/off debug label   Returns: The required alert syntax as a string newsltpshort(licenseID, sl, tp, symbol, accfilter, comment, secret, freq, debug)   Updates the stop loss and/or take profit of any open short trades on the given symbol with the given values. Required params: licenseID, sl and/or tp.   Parameters:      licenseID (string) : Your PC license ID      sl (float) : Stop loss pips or price (according to EA settings)      tp (float) : Take profit pips or price (according to EA settings)      symbol (string) : Symbol to act on (defaults to current symbol)      accfilter (float) : Optional minimum account balance filter      comment (string) : Optional comment to include (max 20 characters)      secret (string) : Optional secret key (must be enabled in dashboard)      freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"      debug (bool) : Turns on/off debug label   Returns: The required alert syntax as a string closelongpct(licenseID, symbol, comment, secret, freq, debug)   Close a percentage of open long positions (according to EA settings). Required params: licenseID.   Parameters:      licenseID (string) : Your PC license ID      symbol (string) : Symbol to act on (defaults to current symbol)      comment (string) : Optional comment to include (max 20 characters)      secret (string) : Optional secret key (must be enabled in dashboard)      freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"      debug (bool) : Turns on/off debug label   Returns: The required alert syntax as a string closeshortpct(licenseID, symbol, comment, secret, freq, debug)   Close a percentage of open short positions (according to EA settings). Required params: licenseID.   Parameters:      licenseID (string) : Your PC license ID      symbol (string) : Symbol to act on (defaults to current symbol)      comment (string) : Optional comment to include (max 20 characters)      secret (string) : Optional secret key (must be enabled in dashboard)      freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"      debug (bool) : Turns on/off debug label   Returns: The required alert syntax as a string closelongvol(licenseID, risk, symbol, comment, secret, freq, debug)   Close all open long contracts on the current symbol until the given risk value is remaining. Required params: licenseID, risk.   Parameters:      licenseID (string) : Your PC license ID      risk (float) : The quantity to leave remaining      symbol (string) : Symbol to act on (defaults to current symbol)      comment (string) : Optional comment to include (max 20 characters)      secret (string) : Optional secret key (must be enabled in dashboard)      freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"      debug (bool) : Turns on/off debug label   Returns: The required alert syntax as a string closeshortvol(licenseID, risk, symbol, comment, secret, freq, debug)   Close all open short contracts on the current symbol until the given risk value is remaining. Required params: licenseID, risk.   Parameters:      licenseID (string) : Your PC license ID      risk (float) : The quantity to leave remaining      symbol (string) : Symbol to act on (defaults to current symbol)      comment (string) : Optional comment to include (max 20 characters)      secret (string) : Optional secret key (must be enabled in dashboard)      freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"      debug (bool) : Turns on/off debug label   Returns: The required alert syntax as a string limit_order(licenseID, buy, price, risk, sl, tp, betrigger, beoffset, spread, trailtrig, traildist, trailstep, atrtimeframe, atrperiod, atrmultiplier, atrshift, atrtrigger, symbol, accfilter, comment, secret, freq, debug)   Generates a limit order alert with relevant syntax commands. Required params: licenseID, buy, price, risk.   Parameters:      licenseID (string) : Your PC license ID      buy (bool) : true=buy/long, false=sell/short      price (float) : Price or pips to set limit order (according to EA settings)      risk (float) : Risk quantity (according to EA settings)      sl (float) : Stop loss distance in pips or price      tp (float) : Take profit distance in pips or price      betrigger (float) : Breakeven will be activated after the position gains this number of pips      beoffset (float) : Offset from entry price. This is the amount of pips you'd like to protect      spread (float) : Enter the position only if the spread is equal or less than the specified value in pips      trailtrig (float) : Trailing stop-loss will be activated after a trade gains this number of pips      traildist (float) : Distance of the trailing stop-loss from current price      trailstep (float) : Moves trailing stop-loss once price moves to favourable by a specified number of pips      atrtimeframe (int) : ATR Trailing Stop timeframe, only updates once per bar close. Options: 1, 5, 15, 30, 60, 240, 1440      atrperiod (int) : ATR averaging period      atrmultiplier (float) : Multiple of ATR to utilise in the new SL computation, default = 1      atrshift (int) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default = 0      atrtrigger (int) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default = 0 (instant)      symbol (string) : The symbol to trigger this order on (defaults to current symbol)      accfilter (float) : Optional minimum account balance filter      comment (string) : Optional comment (maximum 20 characters)      secret (string) : Optional secret key (must be enabled in dashboard)      freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"      debug (bool) : Turns on/off debug label   Returns: A limit order alert string with valid PC syntax based on supplied parameters buylimit(licenseID, price, risk, sl, tp, betrigger, beoffset, spread, trailtrig, traildist, trailstep, atrtimeframe, atrperiod, atrmultiplier, atrshift, atrtrigger, symbol, accfilter, comment, secret, freq, debug)   Generates a buylimit order alert with relevant syntax commands. Required params: licenseID, price, risk.   Parameters:      licenseID (string) : Your PC license ID      price (float) : Price or pips to set limit order (according to EA settings)      risk (float) : Risk quantity (according to EA settings)      sl (float) : Stop loss distance in pips or price      tp (float) : Take profit distance in pips or price      betrigger (float) : Breakeven will be activated after the position gains this number of pips      beoffset (float) : Offset from entry price. This is the amount of pips you'd like to protect      spread (float) : Enter the position only if the spread is equal or less than the specified value in pips      trailtrig (float) : Trailing stop-loss will be activated after a trade gains this number of pips      traildist (float) : Distance of the trailing stop-loss from current price      trailstep (float) : Moves trailing stop-loss once price moves to favourable by a specified number of pips      atrtimeframe (int) : ATR Trailing Stop timeframe, only updates once per bar close. Options: 1, 5, 15, 30, 60, 240, 1440      atrperiod (int) : ATR averaging period      atrmultiplier (float) : Multiple of ATR to utilise in the new SL computation, default = 1      atrshift (int) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default = 0      atrtrigger (int) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default = 0 (instant)      symbol (string) : The symbol to trigger this order on (defaults to current symbol)      accfilter (float) : Optional minimum account balance filter      comment (string) : Optional comment (maximum 20 characters)      secret (string) : Optional secret key (must be enabled in dashboard)      freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"      debug (bool) : Turns on/off debug label   Returns: A limit order alert string with valid PC syntax based on supplied parameters selllimit(licenseID, price, risk, sl, tp, betrigger, beoffset, spread, trailtrig, traildist, trailstep, atrtimeframe, atrperiod, atrmultiplier, atrshift, atrtrigger, symbol, accfilter, comment, secret, freq, debug)   Generates a selllimit order alert with relevant syntax commands. Required params: licenseID, price, risk.   Parameters:      licenseID (string) : Your PC license ID      price (float) : Price or pips to set limit order (according to EA settings)      risk (float) : Risk quantity (according to EA settings)      sl (float) : Stop loss distance in pips or price      tp (float) : Take profit distance in pips or price      betrigger (float) : Breakeven will be activated after the position gains this number of pips      beoffset (float) : Offset from entry price. This is the amount of pips you'd like to protect      spread (float) : Enter the position only if the spread is equal or less than the specified value in pips      trailtrig (float) : Trailing stop-loss will be activated after a trade gains this number of pips      traildist (float) : Distance of the trailing stop-loss from current price      trailstep (float) : Moves trailing stop-loss once price moves to favourable by a specified number of pips      atrtimeframe (int) : ATR Trailing Stop timeframe, only updates once per bar close. Options: 1, 5, 15, 30, 60, 240, 1440      atrperiod (int) : ATR averaging period      atrmultiplier (float) : Multiple of ATR to utilise in the new SL computation, default = 1      atrshift (int) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default = 0      atrtrigger (int) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default = 0 (instant)      symbol (string) : The symbol to trigger this order on (defaults to current symbol)      accfilter (float) : Optional minimum account balance filter      comment (string) : Optional comment (maximum 20 characters)      secret (string) : Optional secret key (must be enabled in dashboard)      freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"      debug (bool) : Turns on/off debug label   Returns: A limit order alert string with valid PC syntax based on supplied parameters stop_order(licenseID, buy, price, risk, sl, tp, betrigger, beoffset, spread, trailtrig, traildist, trailstep, atrtimeframe, atrperiod, atrmultiplier, atrshift, atrtrigger, symbol, accfilter, comment, secret, freq, debug)   Generates a stop order alert with relevant syntax commands. Required params: licenseID, buy, price, risk.   Parameters:      licenseID (string) : Your PC license ID      buy (bool) : true=buy/long, false=sell/short      price (float) : Price or pips to set limit order (according to EA settings)      risk (float) : Risk quantity (according to EA settings)      sl (float) : Stop loss distance in pips or price      tp (float) : Take profit distance in pips or price      betrigger (float) : Breakeven will be activated after the position gains this number of pips      beoffset (float) : Offset from entry price. This is the amount of pips you'd like to protect      spread (float) : Enter the position only if the spread is equal or less than the specified value in pips      trailtrig (float) : Trailing stop-loss will be activated after a trade gains this number of pips      traildist (float) : Distance of the trailing stop-loss from current price      trailstep (float) : Moves trailing stop-loss once price moves to favourable by a specified number of pips      atrtimeframe (int) : ATR Trailing Stop timeframe, only updates once per bar close. Options: 1, 5, 15, 30, 60, 240, 1440      atrperiod (int) : ATR averaging period      atrmultiplier (float) : Multiple of ATR to utilise in the new SL computation, default = 1      atrshift (int) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default = 0      atrtrigger (int) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default = 0 (instant)      symbol (string) : The symbol to trigger this order on (defaults to current symbol)      accfilter (float) : Optional minimum account balance filter      comment (string) : Optional comment (maximum 20 characters)      secret (string) : Optional secret key (must be enabled in dashboard)      freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"      debug (bool) : Turns on/off debug label   Returns: A stop order alert string with valid PC syntax based on supplied parameters buystop(licenseID, price, risk, sl, tp, betrigger, beoffset, spread, trailtrig, traildist, trailstep, atrtimeframe, atrperiod, atrmultiplier, atrshift, atrtrigger, symbol, accfilter, comment, secret, freq, debug)   Generates a buystop order alert with relevant syntax commands. Required params: licenseID, price, risk.   Parameters:      licenseID (string) : Your PC license ID      price (float) : Price or pips to set limit order (according to EA settings)      risk (float) : Risk quantity (according to EA settings)      sl (float) : Stop loss distance in pips or price      tp (float) : Take profit distance in pips or price      betrigger (float) : Breakeven will be activated after the position gains this number of pips      beoffset (float) : Offset from entry price. This is the amount of pips you'd like to protect      spread (float) : Enter the position only if the spread is equal or less than the specified value in pips      trailtrig (float) : Trailing stop-loss will be activated after a trade gains this number of pips      traildist (float) : Distance of the trailing stop-loss from current price      trailstep (float) : Moves trailing stop-loss once price moves to favourable by a specified number of pips      atrtimeframe (int) : ATR Trailing Stop timeframe, only updates once per bar close. Options: 1, 5, 15, 30, 60, 240, 1440      atrperiod (int) : ATR averaging period      atrmultiplier (float) : Multiple of ATR to utilise in the new SL computation, default = 1      atrshift (int) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default = 0      atrtrigger (int) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default = 0 (instant)      symbol (string) : The symbol to trigger this order on (defaults to current symbol)      accfilter (float) : Optional minimum account balance filter      comment (string) : Optional comment (maximum 20 characters)      secret (string) : Optional secret key (must be enabled in dashboard)      freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"      debug (bool) : Turns on/off debug label   Returns: A stop order alert string with valid PC syntax based on supplied parameters sellstop(licenseID, price, risk, sl, tp, betrigger, beoffset, spread, trailtrig, traildist, trailstep, atrtimeframe, atrperiod, atrmultiplier, atrshift, atrtrigger, symbol, accfilter, comment, secret, freq, debug)   Generates a sellstop order alert with relevant syntax commands. Required params: licenseID, price, risk.   Parameters:      licenseID (string) : Your PC license ID      price (float) : Price or pips to set limit order (according to EA settings)      risk (float) : Risk quantity (according to EA settings)      sl (float) : Stop loss distance in pips or price      tp (float) : Take profit distance in pips or price      betrigger (float) : Breakeven will be activated after the position gains this number of pips      beoffset (float) : Offset from entry price. This is the amount of pips you'd like to protect      spread (float) : Enter the position only if the spread is equal or less than the specified value in pips      trailtrig (float) : Trailing stop-loss will be activated after a trade gains this number of pips      traildist (float) : Distance of the trailing stop-loss from current price      trailstep (float) : Moves trailing stop-loss once price moves to favourable by a specified number of pips      atrtimeframe (int) : ATR Trailing Stop timeframe, only updates once per bar close. Options: 1, 5, 15, 30, 60, 240, 1440      atrperiod (int) : ATR averaging period      atrmultiplier (float) : Multiple of ATR to utilise in the new SL computation, default = 1      atrshift (int) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default = 0      atrtrigger (int) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default = 0 (instant)      symbol (string) : The symbol to trigger this order on (defaults to current symbol)      accfilter (float) : Optional minimum account balance filter      comment (string) : Optional comment (maximum 20 characters)      secret (string) : Optional secret key (must be enabled in dashboard)      freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"      debug (bool) : Turns on/off debug label   Returns: A stop order alert string with valid PC syntax based on supplied parameters cancel_neworder(licenseID, order, price, risk, sl, tp, betrigger, beoffset, spread, trailtrig, traildist, trailstep, atrtimeframe, atrperiod, atrmultiplier, atrshift, atrtrigger, symbol, accfilter, comment, secret, freq, debug)   Cancel + place new order template function.   Parameters:      licenseID (string) : Your PC license ID      order (string) : Cancel order type      price (float) : Price or pips to set limit order (according to EA settings)      risk (float) : Risk quantity (according to EA settings)      sl (float) : Stop loss distance in pips or price      tp (float) : Take profit distance in pips or price      betrigger (float) : Breakeven will be activated after the position gains this number of pips      beoffset (float) : Offset from entry price. This is the amount of pips you'd like to protect      spread (float) : Enter the position only if the spread is equal or less than the specified value in pips      trailtrig (float) : Trailing stop-loss will be activated after a trade gains this number of pips      traildist (float) : Distance of the trailing stop-loss from current price      trailstep (float) : Moves trailing stop-loss once price moves to favourable by a specified number of pips      atrtimeframe (int) : ATR Trailing Stop timeframe, only updates once per bar close. Options: 1, 5, 15, 30, 60, 240, 1440      atrperiod (int) : ATR averaging period      atrmultiplier (float) : Multiple of ATR to utilise in the new SL computation, default = 1      atrshift (int) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default = 0      atrtrigger (int) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default = 0 (instant)      symbol (string) : The symbol to trigger this order on (defaults to current symbol)      accfilter (float) : Optional minimum account balance filter      comment (string) : Optional comment (maximum 20 characters)      secret (string) : Optional secret key (must be enabled in dashboard)      freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"      debug (bool) : Turns on/off debug label   Returns: A stop order alert string with valid PC syntax based on supplied parameters cancellongbuystop(licenseID, price, risk, sl, tp, betrigger, beoffset, spread, trailtrig, traildist, trailstep, atrtimeframe, atrperiod, atrmultiplier, atrshift, atrtrigger, symbol, accfilter, comment, secret, freq, debug)   Cancels all long orders with the specified symbol and places a new buystop order. Required params: licenseID, price, risk.   Parameters:      licenseID (string) : Your PC license ID      price (float) : Price or pips to set limit order (according to EA settings)      risk (float) : Risk quantity (according to EA settings)      sl (float) : Stop loss distance in pips or price      tp (float) : Take profit distance in pips or price      betrigger (float) : Breakeven will be activated after the position gains this number of pips      beoffset (float) : Offset from entry price. This is the amount of pips you'd like to protect      spread (float) : Enter the position only if the spread is equal or less than the specified value in pips      trailtrig (float) : Trailing stop-loss will be activated after a trade gains this number of pips      traildist (float) : Distance of the trailing stop-loss from current price      trailstep (float) : Moves trailing stop-loss once price moves to favourable by a specified number of pips      atrtimeframe (int) : ATR Trailing Stop timeframe, only updates once per bar close. Options: 1, 5, 15, 30, 60, 240, 1440      atrperiod (int) : ATR averaging period      atrmultiplier (float) : Multiple of ATR to utilise in the new SL computation, default = 1      atrshift (int) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default = 0      atrtrigger (int) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default = 0 (instant)      symbol (string) : The symbol to trigger this order on (defaults to current symbol)      accfilter (float) : Optional minimum account balance filter      comment (string) : Optional comment (maximum 20 characters)      secret (string) : Optional secret key (must be enabled in dashboard)      freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"      debug (bool) : Turns on/off debug label   Returns: A stop order alert string with valid PC syntax based on supplied parameters cancellongbuylimit(licenseID, price, risk, sl, tp, betrigger, beoffset, spread, trailtrig, traildist, trailstep, atrtimeframe, atrperiod, atrmultiplier, atrshift, atrtrigger, symbol, accfilter, comment, secret, freq, debug)   Cancels all long orders with the specified symbol and places a new buylimit order. Required params: licenseID, price, risk.   Parameters:      licenseID (string) : Your PC license ID      price (float) : Price or pips to set limit order (according to EA settings)      risk (float) : Risk quantity (according to EA settings)      sl (float) : Stop loss distance in pips or price      tp (float) : Take profit distance in pips or price      betrigger (float) : Breakeven will be activated after the position gains this number of pips      beoffset (float) : Offset from entry price. This is the amount of pips you'd like to protect      spread (float) : Enter the position only if the spread is equal or less than the specified value in pips      trailtrig (float) : Trailing stop-loss will be activated after a trade gains this number of pips      traildist (float) : Distance of the trailing stop-loss from current price      trailstep (float) : Moves trailing stop-loss once price moves to favourable by a specified number of pips      atrtimeframe (int) : ATR Trailing Stop timeframe, only updates once per bar close. Options: 1, 5, 15, 30, 60, 240, 1440      atrperiod (int) : ATR averaging period      atrmultiplier (float) : Multiple of ATR to utilise in the new SL computation, default = 1      atrshift (int) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default = 0      atrtrigger (int) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default = 0 (instant)      symbol (string) : The symbol to trigger this order on (defaults to current symbol)      accfilter (float) : Optional minimum account balance filter      comment (string) : Optional comment (maximum 20 characters)      secret (string) : Optional secret key (must be enabled in dashboard)      freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"      debug (bool) : Turns on/off debug label   Returns: A stop order alert string with valid PC syntax based on supplied parameters cancelshortsellstop(licenseID, price, risk, sl, tp, betrigger, beoffset, spread, trailtrig, traildist, trailstep, atrtimeframe, atrperiod, atrmultiplier, atrshift, atrtrigger, symbol, accfilter, comment, secret, freq, debug)   Cancels all short orders with the specified symbol and places a sellstop order. Required params: licenseID, price, risk.   Parameters:      licenseID (string) : Your PC license ID      price (float) : Price or pips to set limit order (according to EA settings)      risk (float) : Risk quantity (according to EA settings)      sl (float) : Stop loss distance in pips or price      tp (float) : Take profit distance in pips or price      betrigger (float) : Breakeven will be activated after the position gains this number of pips      beoffset (float) : Offset from entry price. This is the amount of pips you'd like to protect      spread (float) : Enter the position only if the spread is equal or less than the specified value in pips      trailtrig (float) : Trailing stop-loss will be activated after a trade gains this number of pips      traildist (float) : Distance of the trailing stop-loss from current price      trailstep (float) : Moves trailing stop-loss once price moves to favourable by a specified number of pips      atrtimeframe (int) : ATR Trailing Stop timeframe, only updates once per bar close. Options: 1, 5, 15, 30, 60, 240, 1440      atrperiod (int) : ATR averaging period      atrmultiplier (float) : Multiple of ATR to utilise in the new SL computation, default = 1      atrshift (int) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default = 0      atrtrigger (int) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default = 0 (instant)      symbol (string) : The symbol to trigger this order on (defaults to current symbol)      accfilter (float) : Optional minimum account balance filter      comment (string) : Optional comment (maximum 20 characters)      secret (string) : Optional secret key (must be enabled in dashboard)      freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"      debug (bool) : Turns on/off debug label   Returns: A stop order alert string with valid PC syntax based on supplied parameters cancelshortselllimit(licenseID, price, risk, sl, tp, betrigger, beoffset, spread, trailtrig, traildist, trailstep, atrtimeframe, atrperiod, atrmultiplier, atrshift, atrtrigger, symbol, accfilter, comment, secret, freq, debug)   Cancels all short orders with the specified symbol and places a selllimit order. Required params: licenseID, price, risk.   Parameters:      licenseID (string) : Your PC license ID      price (float) : Price or pips to set limit order (according to EA settings)      risk (float) : Risk quantity (according to EA settings)      sl (float) : Stop loss distance in pips or price      tp (float) : Take profit distance in pips or price      betrigger (float) : Breakeven will be activated after the position gains this number of pips      beoffset (float) : Offset from entry price. This is the amount of pips you'd like to protect      spread (float) : Enter the position only if the spread is equal or less than the specified value in pips      trailtrig (float) : Trailing stop-loss will be activated after a trade gains this number of pips      traildist (float) : Distance of the trailing stop-loss from current price      trailstep (float) : Moves trailing stop-loss once price moves to favourable by a specified number of pips      atrtimeframe (int) : ATR Trailing Stop timeframe, only updates once per bar close. Options: 1, 5, 15, 30, 60, 240, 1440      atrperiod (int) : ATR averaging period      atrmultiplier (float) : Multiple of ATR to utilise in the new SL computation, default = 1      atrshift (int) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default = 0      atrtrigger (int) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default = 0 (instant)      symbol (string) : The symbol to trigger this order on (defaults to current symbol)      accfilter (float) : Optional minimum account balance filter      comment (string) : Optional comment (maximum 20 characters)      secret (string) : Optional secret key (must be enabled in dashboard)      freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"      debug (bool) : Turns on/off debug label   Returns: A stop order alert string with valid PC syntax based on supplied parameters cancellong(licenseID, symbol, accfilter, comment, secret, freq, debug)   Cancels all pending long orders with the specified symbol. Required params: licenseID.   Parameters:      licenseID (string) : Your PC license ID      symbol (string) : Symbol to act on (defaults to current symbol)      accfilter (float) : Optional minimum account balance filter      comment (string) : Optional comment to include (max 20 characters)      secret (string) : Optional secret key (must be enabled in dashboard)      freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"      debug (bool) : Turns on/off debug label   Returns: A cancel long alert command cancelshort(licenseID, symbol, accfilter, comment, secret, freq, debug)   Cancels all pending short orders with the specified symbol. Required params: licenseID.   Parameters:      licenseID (string) : Your PC license ID      symbol (string) : Symbol to act on (defaults to current symbol)      accfilter (float) : Optional minimum account balance filter      comment (string) : Optional comment to include (max 20 characters)      secret (string) : Optional secret key (must be enabled in dashboard)      freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"      debug (bool) : Turns on/off debug label   Returns: A cancel short alert command newsltpbuystop(licenseID, sl, tp, symbol, accfilter, comment, secret, freq, debug)   Updates the stop loss and/or take profit of any pending buy stop orders on the given symbol. Required params: licenseID, sl and/or tp.   Parameters:      licenseID (string) : Your PC license ID      sl (float) : Stop loss pips or price (according to EA settings)      tp (float) : Take profit pips or price (according to EA settings)      symbol (string) : Symbol to act on (defaults to current symbol)      accfilter (float) : Optional minimum account balance filter      comment (string) : Optional comment to include (max 20 characters)      secret (string) : Optional secret key (must be enabled in dashboard)      freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"      debug (bool) : Turns on/off debug label   Returns: The required alert syntax as a string newsltpbuylimit(licenseID, sl, tp, symbol, accfilter, comment, secret, freq, debug)   Updates the stop loss and/or take profit of any pending buy limit orders on the given symbol. Required params: licenseID, sl and/or tp.   Parameters:      licenseID (string) : Your PC license ID      sl (float) : Stop loss pips or price (according to EA settings)      tp (float) : Take profit pips or price (according to EA settings)      symbol (string) : Symbol to act on (defaults to current symbol)      accfilter (float) : Optional minimum account balance filter      comment (string) : Optional comment to include (max 20 characters)      secret (string) : Optional secret key (must be enabled in dashboard)      freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"      debug (bool) : Turns on/off debug label   Returns: The required alert syntax as a string newsltpsellstop(licenseID, sl, tp, symbol, accfilter, comment, secret, freq, debug)   Updates the stop loss and/or take profit of any pending sell stop orders on the given symbol. Required params: licenseID, sl and/or tp.   Parameters:      licenseID (string) : Your PC license ID      sl (float) : Stop loss pips or price (according to EA settings)      tp (float) : Take profit pips or price (according to EA settings)      symbol (string) : Symbol to act on (defaults to current symbol)      accfilter (float) : Optional minimum account balance filter      comment (string) : Optional comment to include (max 20 characters)      secret (string) : Optional secret key (must be enabled in dashboard)      freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"      debug (bool) : Turns on/off debug label   Returns: The required alert syntax as a string newsltpselllimit(licenseID, sl, tp, symbol, accfilter, comment, secret, freq, debug)   Updates the stop loss and/or take profit of any pending sell limit orders on the given symbol. Required params: licenseID, sl and/or tp.   Parameters:      licenseID (string) : Your PC license ID      sl (float) : Stop loss pips or price (according to EA settings)      tp (float) : Take profit pips or price (according to EA settings)      symbol (string) : Symbol to act on (defaults to current symbol)      accfilter (float) : Optional minimum account balance filter      comment (string) : Optional comment to include (max 20 characters)      secret (string) : Optional secret key (must be enabled in dashboard)      freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"      debug (bool) : Turns on/off debug label   Returns: The required alert syntax as a string eaoff(licenseID, secret, freq, debug)   Turns the EA off. Required params: licenseID.   Parameters:      licenseID (string) : Your PC license ID      secret (string) : Optional secret key (must be enabled in dashboard)      freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"      debug (bool) : Turns on/off debug label   Returns: The required alert syntax as a string eaon(licenseID, secret, freq, debug)   Turns the EA on. Required params: licenseID.   Parameters:      licenseID (string) : Your PC license ID      secret (string) : Optional secret key (must be enabled in dashboard)      freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"      debug (bool) : Turns on/off debug label   Returns: The required alert syntax as a string
Библиотека Pine Script®
от ZenAndTheArtOfTrading
2
Turtle Trader StrategyTurtle Trader Strategy : Introduction : This strategy is based on the well known « Turtle Trader Strategy », that has proven itself over the years. It sends long and short signals with pyramid orders of up to 5, meaning that the strategy can trigger up to 5 orders in the same direction. Good risk and money management. It's important to note that the strategy combines 2 systems working together (S1 and S2). Let’s describe the specific features of this strategy. 1/ Position size : Position size is very important for turtle traders to manage risk properly. This position sizing strategy adapts to market volatility and to account (gains and losses). It’s based on ATR (Average True Range) which can also be called « N ». Its length is per default 20. ATR(20) = (previous_atr(20)*19 + actual_true_range)/20 The number of units to buy is : Unit = 1% * account/(ATR(20)*dollar_per_point) where account is the actual account value and dollar_per_point is the variation in dollar of the asset with a 1 point move. Depending on your risk aversion, you can increase the percentage of your account, but turtle traders default to 1%. If you trade contracts, units must be rounded down by default. There is also an additional rule to reduce the risk if the value of the account falls below the initial capital : in this case and only in this case, account in the unit formula must be replace by : account = actual_account*actual_account/initial capital 2/ Open a position : 2 systems are working together : System 1 : Entering a new 20 day breakout System 2 : Entering a new 55 day breakout A breakout is a new high or new low. If it’s a new high, we open long position and vice versa if it’s a new low we enter in short position. We add an additional rule : System 1 : Breakout is ignored if last long/short position was a winner System 2 : All signals are taken This additional rule allows the trader to be in the major trends if the system 1 signal has been skipped. If a signal for system 1 has been skipped, and next candle is also a new 20 day breakout, S1 doesn’t give a signal. We have to wait S2 signal or wait for a candle that doesn’t make a new breakout to reactivate S1. 3/ Pyramid orders : Turtle Strategy allows us to add extra units to the position if the price moves in our favor. I've configured the strategy to allow up to 5 orders to be added in the same direction. So if the price varies from 0.5*ATR(20) , we add units with the position size formula. Note that the value of account will be replaced by "remaining_account", i.e. the cash remaining in our account after subtracting the value of open positions. 4/ Stop Loss : We set a stop loss at 1.5*ATR(20) below the entry price for longs and above the entry price for shorts. If pyramid units are added, the stop is increased/decreased by 0.5*ATR(20). Note that if SL is configured for a loss of more than 10%, we set the SL to 10% for the first entry order to avoid big losses. This configuration does not work for pyramid orders as SL moves by 0.5*ATR(20). 5/ Exit signals : System 1 : Exit long on a 10 day low Exit short on a 10 day high System 2 : Exit long on a 20 day low Exit short on a 20 day high 6/ What types of orders are placed ? To enter in a position, stop orders are placed meaning that we place orders that will be automatically triggered by the signal at the exact breakout price. Stop loss and exit signals are also stop orders. Pyramid orders are market orders which will be triggered at the opening of the next candle to avoid repainting. PARAMETERS : Risk % of capital : Percentage used in the position size formula. Default is 1% ATR period : ATR length used to calculate ATR. Default is 20 Stop ATR : Parameters used to fix stop loss. Default is 1.5 meaning that stop loss will be set at : buy_price - 1.5*ATR(20) for long and buy_price + 1.5*ATR(20) for short. Turtle traders default is 2 but 1.5 is better for cryptocurrency as there is a huge volatility. S1 Long : System 1 breakout length for long. Default is 20 S2 Long : System 2 breakout length for long. Default is 55 S1 Long Exit : System 1 breakout length to exit long. Default is 10 S2 Long Exit : System 2 breakout length to exit long. Default is 20 S1 Short : System 1 breakout length for short. Default is 15 S2 Short : System 2 breakout length for short. Default is 55 S1 Short Exit : System 1 breakout length to exit short. Default is 7 S2 Short Exit : System 2 breakout length to exit short. Default is 20 Initial capital : $1000 Fees : Interactive Broker fees apply to this strategy. They are set at 0.18% of the trade value. Slippage : 3 ticks or $0.03 per trade. Corresponds to the latency time between the moment the signal is received and the moment the order is executed by the broker. Pyramiding : Number of orders that can be passed in the same direction. Default is 5. Important : Turtle traders don't trade crypto. For this specific asset type, I modify some parameters such as SL and Short S1 in order to maximize return while limiting drawdown. This strategy is the most optimal on BINANCE:BTCUSD in 1D timeframe with the parameters set per default. If you want to use this strategy for a different crypto please adapt parameters. NOTE : It's important to note that the first entry order (long or short) will be the largest. Subsequent pyramid orders will have fewer units than the first order. We've set a maximum SL for the first order of 10%, meaning that you won't lose more than 10% of the value of your first order. However, it is possible to lose more on your pyramid orders, as the SL is increased/decreased by 0.5*ATR(20), which does not secure a loss of more than 10% on your pyramid orders. The risk remains well managed because the value of these orders is less than the value of the first order. Remain vigilant to this small detail and adjust your risk according to your risk aversion. Enjoy the strategy and don’t forget to take the trade :)
Стратегия Pine Script®
от geneZ_fi
13
Rollover LTEThis indicator shows where price needs to be and when in order to cause the 20-sma and 50-sma moving averages to change directions. A change in direction requires the slope of a moving average to change from negative to positive or from positive to negative. When a moving average changes direction, it can be said that it has “rolled over” or “rolled up,” with the latter only applying if slope went from negative to positive. Theory: In order to solve for the price of the current bar that will cause the moving average to roll up, the slope from the previous bar’s average to the current bar’s average must be set equal to zero which is to say that the averages must be the same. For the 20-sma, the equation simply stated in words is as follows: Current MA as a function of current price and previous 19 values = previous MA which is fixed based on previous 20 values The denominators which are both 20 cancel and the previous 19 values cancel. What’s left is current price on the left side and the value from 20 bars ago on the right. Current price = value from 20 bars ago and since the equation was set up for solving for the price of the current bar that will cause the MA to roll over Rollover price = value from 20 bars ago This makes plotting rollover price, both current and forecasted, fairly simple, as it’s merely the closing price plotted with an offset to the right the same distance as the moving average length. Application: The 20-sma and 50-sma rollover prices are plotted because they are considered to be the two most important moving averages for rollover analysis. Moving average lengths can be modified in the indicator settings. The 20-sma and 20-sma rollover price are both plotted in white and the 50-sma and 50-sma rollover price are both plotted in blue. There are two rollover prices because the 20-sma rollover price is the price that will cause the 20-sma to roll over and the 50-sma rollover price is the price that will cause the 50-sma to roll over. The one that's vertically furthest away from the current price is the one that will cause both to rollover, as should become clearer upon reading the explanation below. The distance between the current price and the 20-sma rollover price is referred to as the “rollover strength” of the price relative to the 20-sma. A large disparity between the current price and the rollover price suggests bearishness (negative rollover strength) if the rollover price is overhead because price would need to travel all that distance in order to cause the moving average to roll up. If the rollover price and price are converging, as is often the case, a change in moving average and price direction becomes more plausible. The rollover strengths of the 20-sma and 50-sma are added together to calculate the Rollover Strength and if a negative number is the result then the background color of the plot cloud turns red. If the result is positive, it turns green. Rollover Strength is plotted below price as a separate indicator in this publication for reference only and it's not part of this indicator. It does not look much different from momentum indicators. The code is below if anybody wants to try to use it. The important thing is that the distances between the rollover prices and the price action are kept in mind as having shrinking, growing, or neutral bearish and bullish effects on current and forecasted price direction. Trades should not be entered based on cloud colorization changes alone. If you are about to crash into a wall of the 20-sma rollover price, as is indicated on the chart by the green arrow, you might consider going long so long as the rollover strength, both current and forecasted, of the 50-sma isn’t questionably bearish. This is subject to analysis and interpretation. There was a 20-sma rollover wall as indicated with yellow arrow, but the bearish rollover strength of the 50-sma was growing and forecasted to remain strong for a while at that time so a long entry would have not been suggested by both rollover prices. If you are about to crash into both the 20-sma and 50-sma rollover prices at the same time (not shown on this chart), that’s a good time to place a trade in anticipation of both slopes changing direction. You may, in the case of this chart, see that a 20-sma rollover wall precedes a 50-sma rollover convergence with price and anticipate a cascade which turned out to be the case with this recent NQ rally. Price exiting the cloud entirely to either the upside or downside has strong implications. When exiting to the downside, the 20-sma and 50-sma have both rolled over and price is below both of them. The same is true for upside exits. Re-entering the cloud after a rally may indicate a reversal is near, especially if the forecasted rollover prices, particularly the 50-sma, agree. This indicator should be used in conjunction with other technical analysis tools. Additional Notes: The original version of this script which will not be published was much heavier, cluttered, and is not as useful. This is the light version, hence the “LTE” suffix. LTE stands for “long-term evolution” in telecommunications, not “light.” Bar colorization (red, yellow, and green bars) was added using the MACD Hybrid BSH script which is another script I’ve published. If you’re not sure what a bar is, it’s the same thing as a candle or a data point on a line chart. Every vertical line showing price action on the chart above is a bar and it is a bar chart. sma = simple moving average Rollover Strength Script: // This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org // © Skipper86 //@version=5 indicator(title="Rollover Strength", shorttitle="Rollover Strength", overlay=false) source = input.source(close) length1 = input.int(20, "Length 1", minval=1) length2 = input.int(50, "Length 2", minval=1) RolloverPrice1 = source RolloverPrice2 = source RolloverStrength1 = source-RolloverPrice1 RolloverStrength2 = source-RolloverPrice2 RolloverStrength = RolloverStrength1 + RolloverStrength2 Color1 = color.rgb(155, 155, 155, 0) Color2 = color.rgb(0, 0, 200, 0) Color3 = color.rgb(0, 200, 0, 0) plot(RolloverStrength, title="Rollover Strength", color=Color3) hline(0, "Middle Band", color=Color1) //End of Rollover Strength Script
Индикатор Pine Script®
от Skipper86
Adv EMA Cloud v6 (ADX, Alerts)Summary: This indicator provides a multi-faceted view of market trends using Exponential Moving Averages (EMAs) arranged in visually intuitive clouds, enhanced with an optional ADX-based range filter and configurable alerts for key market conditions. It aims to help traders quickly gauge trend alignment across short, medium, and long timeframes while filtering signals during potentially choppy market conditions. Key Features: Multiple EMAs: Displays 10-period (Fast), 20-period (Mid), and 50-period (Slow) EMAs. Long-Term Trend Filter: Includes a 200-period EMA to provide context for the overall dominant trend direction. Dual EMA Clouds: Fast/Mid Cloud (10/20 EMA): Fills the area between the 10 and 20 EMAs. Defaults to Green when 10 > 20 (bullish short-term momentum) and Red when 10 < 20 (bearish short-term momentum). Mid/Slow Cloud (20/50 EMA): Fills the area between the 20 and 50 EMAs. Defaults to Aqua when 20 > 50 (bullish mid-term trend) and Fuchsia when 20 < 50 (bearish mid-term trend). Optional ADX Range Filter: Uses the Average Directional Index (ADX) to identify potentially non-trending or choppy markets. When enabled and ADX falls below a user-defined threshold, the EMA clouds will turn grey, visually warning that trend-following signals may be less reliable. Configurable Alerts: Provides several built-in alert conditions using Pine Script's alertcondition function: Confluence Condition: Triggers when a 10/20 EMA crossover occurs while both EMA clouds show alignment (both bullish/green/aqua or both bearish/red/fuchsia) and price respects the 200 EMA filter and the ADX filter indicates a trend (if filters are enabled). MA Filter Cross: Triggers when price crosses above or below the 200 EMA filter line. Full Alignment Start: Triggers on the first bar where full bullish or bearish alignment occurs (both clouds aligned + MA filter respected + ADX trending, if filters are enabled). How It Works: EMA Calculation: Standard Exponential Moving Averages are calculated for the 10, 20, 50, and 200 periods based on the closing price. Cloud Creation: The fill() function visually shades the area between the 10 & 20 EMAs and the 20 & 50 EMAs. Cloud Coloring: The color of each cloud is determined by the relationship between the two EMAs that define it (e.g., if EMA 10 is above EMA 20, the first cloud is bullish-colored). ADX Filter Logic: The script calculates the ADX value. If the "Use ADX Trend Filter?" input is checked and the calculated ADX is below the specified "ADX Trend Threshold", the script considers the market potentially ranging. ADX Visual Effect: During detected ranging periods (if the ADX filter is active), the plotCloud12Color and plotCloud23Color variables are assigned a neutral grey color instead of their normal bullish/bearish colors before being passed to the fill() function. Alert Logic: Boolean variables track the specific conditions (crossovers, cloud alignment, filter positions, ADX state). The alertcondition() function creates triggerable alerts based on these pre-defined conditions. Potential Interpretation (Not Financial Advice): Trend Alignment: When both clouds share the same directional color (e.g., both bullish - Green & Aqua) and price is on the corresponding side of the 200 EMA filter, it may suggest a stronger, more aligned trend. Conversely, conflicting cloud colors may indicate indecision or transition. Dynamic Support/Resistance: The EMA lines themselves (especially the 20, 50, and 200) can sometimes act as dynamic levels where price might react. Range Warning: Greyed-out clouds (when ADX filter is enabled) serve as a visual warning that trend-based strategies might face increased difficulty or whipsaws. Confluence Alerts: The specific confluence alerts signal moments where multiple conditions align (crossover + cloud agreement + filters), which some traders might view as higher-probability setups. Customization: All EMA lengths (10, 20, 50, 200) are adjustable via the Inputs menu. The ADX length and threshold are configurable. The MA Trend Filter and ADX Trend Filter can be independently enabled or disabled. Disclaimer: This indicator is provided for informational and educational purposes only. Trading financial markets involves significant risk. Past performance is not indicative of future results. Always conduct your own thorough analysis and consider your risk tolerance before making any trading decisions. This indicator should be used in conjunction with other analysis methods and tools. Do not trade based solely on the signals or visuals provided by this indicator.
Индикатор Pine Script®
от epphllps
1
Candle VolumeScript Based on Volume Based Coloured Bars by KivancOzbilgic ///////////// This indicator turns the candle into a volume-weighted signal, When the price falls, the candle is red, and when the price rises, the candle is green. In addition, we each have two colors Happening: Dark red: It is dark red when the downtrend trading volume is greater than 200% of its average price (default 20 days), which indicates that our price action is supported by strong bearish trading volume Red: When the price drops and the trading volume is between 50% and 200% of its average (default 20 days), in this case, we can think that the trading volume is neither strong nor weak Light red: When the price drops and VOLUME is less than 50% of its average price (default 20 days), the trading volume is weak and there is not much support for price movements Dark green: When the price rises and the trading volume is greater than 200% of its average price (default 20 days), it indicates that our price movement is supported by a strong bullish trading volume Green: When the price rises and the trading volume is between 50% and 200% of its average price (the default is 20 days), in this case, we can think that the trading volume is neither strong nor weak Light green: When the price rises and the trading volume is less than 50% of its average price (default 20 days), the trading volume is weak and does not support the price trend well Default Low Volume is 50% (0.5) and High 200% (2), but if those values don't suit you, you can change them according to your trading personality ////////////////////////// Esse é um indicador que colore a candlera de acordo com o volume baseado na média, quando o volume está acima da média a candlera fica verde, e quando está abaixo, a candlera fica vermelha, e as cores das candleras funcionam dessa forma : Vermelho escuro: fica vermelho escuro quando o preço cai e o volume de negociação é superior a 200% do preço médio (padrão 20 dias), o que indica que nossa ação de preço é suportada por um forte volume de negociação de baixa Vermelho: quando o preço cai e o volume de negociação está entre 50% e 200% de sua média (padrão de 20 dias), nesse caso, podemos pensar que o volume de negociação não é forte nem fraco Vermelho claro: quando o preço cai e VOLUME é inferior a 50% do preço médio (padrão 20 dias), o volume de negociação é fraco e não há muito suporte para movimentos de preço Verde escuro: quando o preço aumenta e o volume de negociação é superior a 200% do preço médio (padrão 20 dias), isso indica que nosso movimento de preço é suportado por um forte volume de negociação de alta Verde: quando o preço aumenta e o volume de negociação está entre 50% e 200% do preço médio (o padrão é 20 dias), nesse caso, podemos pensar que o volume de negociação não é forte nem fraco Verde claro: quando o preço aumenta e o volume de negociação é inferior a 50% do preço médio (padrão 20 dias), o volume de negociação é fraco e não suporta bem a tendência de preço O volume baixo padrão é 50% (0,5) e alto 200% (2), mas se esses valores não forem adequados para você, você poderá alterá-los de acordo com sua personalidade de trading
Индикатор Pine Script®
от Marqx
4
Tensor Market Analysis Engine (TMAE)# Tensor Market Analysis Engine (TMAE) ## Advanced Multi-Dimensional Mathematical Analysis System *Where Quantum Mathematics Meets Market Structure* --- ## 🎓 THEORETICAL FOUNDATION The Tensor Market Analysis Engine represents a revolutionary synthesis of three cutting-edge mathematical frameworks that have never before been combined for comprehensive market analysis. This indicator transcends traditional technical analysis by implementing advanced mathematical concepts from quantum mechanics, information theory, and fractal geometry. ### 🌊 Multi-Dimensional Volatility with Jump Detection **Hawkes Process Implementation:** The TMAE employs a sophisticated Hawkes process approximation for detecting self-exciting market jumps. Unlike traditional volatility measures that treat price movements as independent events, the Hawkes process recognizes that market shocks cluster and exhibit memory effects. **Mathematical Foundation:** ``` Intensity λ(t) = μ + Σ α(t - Tᵢ) ``` Where market jumps at times Tᵢ increase the probability of future jumps through the decay function α, controlled by the Hawkes Decay parameter (0.5-0.99). **Mahalanobis Distance Calculation:** The engine calculates volatility jumps using multi-dimensional Mahalanobis distance across up to 5 volatility dimensions: - **Dimension 1:** Price volatility (standard deviation of returns) - **Dimension 2:** Volume volatility (normalized volume fluctuations) - **Dimension 3:** Range volatility (high-low spread variations) - **Dimension 4:** Correlation volatility (price-volume relationship changes) - **Dimension 5:** Microstructure volatility (intrabar positioning analysis) This creates a volatility state vector that captures market behavior impossible to detect with traditional single-dimensional approaches. ### 📐 Hurst Exponent Regime Detection **Fractal Market Hypothesis Integration:** The TMAE implements advanced Rescaled Range (R/S) analysis to calculate the Hurst exponent in real-time, providing dynamic regime classification: - **H > 0.6:** Trending (persistent) markets - momentum strategies optimal - **H < 0.4:** Mean-reverting (anti-persistent) markets - contrarian strategies optimal - **H ≈ 0.5:** Random walk markets - breakout strategies preferred **Adaptive R/S Analysis:** Unlike static implementations, the TMAE uses adaptive windowing that adjusts to market conditions: ``` H = log(R/S) / log(n) ``` Where R is the range of cumulative deviations and S is the standard deviation over period n. **Dynamic Regime Classification:** The system employs hysteresis to prevent regime flipping, requiring sustained Hurst values before regime changes are confirmed. This prevents false signals during transitional periods. ### 🔄 Transfer Entropy Analysis **Information Flow Quantification:** Transfer entropy measures the directional flow of information between price and volume, revealing lead-lag relationships that indicate future price movements: ``` TE(X→Y) = Σ p(yₜ₊₁, yₜ, xₜ) log ``` **Causality Detection:** - **Volume → Price:** Indicates accumulation/distribution phases - **Price → Volume:** Suggests retail participation or momentum chasing - **Balanced Flow:** Market equilibrium or transition periods The system analyzes multiple lag periods (2-20 bars) to capture both immediate and structural information flows. --- ## 🔧 COMPREHENSIVE INPUT SYSTEM ### Core Parameters Group **Primary Analysis Window (10-100, Default: 50)** The fundamental lookback period affecting all calculations. Optimization by timeframe: - **1-5 minute charts:** 20-30 (rapid adaptation to micro-movements) - **15 minute-1 hour:** 30-50 (balanced responsiveness and stability) - **4 hour-daily:** 50-100 (smooth signals, reduced noise) - **Asset-specific:** Cryptocurrency 20-35, Stocks 35-50, Forex 40-60 **Signal Sensitivity (0.1-2.0, Default: 0.7)** Master control affecting all threshold calculations: - **Conservative (0.3-0.6):** High-quality signals only, fewer false positives - **Balanced (0.7-1.0):** Optimal risk-reward ratio for most trading styles - **Aggressive (1.1-2.0):** Maximum signal frequency, requires careful filtering **Signal Generation Mode:** - **Aggressive:** Any component signals (highest frequency) - **Confluence:** 2+ components agree (balanced approach) - **Conservative:** All 3 components align (highest quality) ### Volatility Jump Detection Group **Volatility Dimensions (2-5, Default: 3)** Determines the mathematical space complexity: - **2D:** Price + Volume volatility (suitable for clean markets) - **3D:** + Range volatility (optimal for most conditions) - **4D:** + Correlation volatility (advanced multi-asset analysis) - **5D:** + Microstructure volatility (maximum sensitivity) **Jump Detection Threshold (1.5-4.0σ, Default: 3.0σ)** Standard deviations required for volatility jump classification: - **Cryptocurrency:** 2.0-2.5σ (naturally volatile) - **Stock Indices:** 2.5-3.0σ (moderate volatility) - **Forex Major Pairs:** 3.0-3.5σ (typically stable) - **Commodities:** 2.0-3.0σ (varies by commodity) **Jump Clustering Decay (0.5-0.99, Default: 0.85)** Hawkes process memory parameter: - **0.5-0.7:** Fast decay (jumps treated as independent) - **0.8-0.9:** Moderate clustering (realistic market behavior) - **0.95-0.99:** Strong clustering (crisis/event-driven markets) ### Hurst Exponent Analysis Group **Calculation Method Options:** - **Classic R/S:** Original Rescaled Range (fast, simple) - **Adaptive R/S:** Dynamic windowing (recommended for trading) - **DFA:** Detrended Fluctuation Analysis (best for noisy data) **Trending Threshold (0.55-0.8, Default: 0.60)** Hurst value defining persistent market behavior: - **0.55-0.60:** Weak trend persistence - **0.65-0.70:** Clear trending behavior - **0.75-0.80:** Strong momentum regimes **Mean Reversion Threshold (0.2-0.45, Default: 0.40)** Hurst value defining anti-persistent behavior: - **0.35-0.45:** Weak mean reversion - **0.25-0.35:** Clear ranging behavior - **0.15-0.25:** Strong reversion tendency ### Transfer Entropy Parameters Group **Information Flow Analysis:** - **Price-Volume:** Classic flow analysis for accumulation/distribution - **Price-Volatility:** Risk flow analysis for sentiment shifts - **Multi-Timeframe:** Cross-timeframe causality detection **Maximum Lag (2-20, Default: 5)** Causality detection window: - **2-5 bars:** Immediate causality (scalping) - **5-10 bars:** Short-term flow (day trading) - **10-20 bars:** Structural flow (swing trading) **Significance Threshold (0.05-0.3, Default: 0.15)** Minimum entropy for signal generation: - **0.05-0.10:** Detect subtle information flows - **0.10-0.20:** Clear causality only - **0.20-0.30:** Very strong flows only --- ## 🎨 ADVANCED VISUAL SYSTEM ### Tensor Volatility Field Visualization **Five-Layer Resonance Bands:** The tensor field creates dynamic support/resistance zones that expand and contract based on mathematical field strength: - **Core Layer (Purple):** Primary tensor field with highest intensity - **Layer 2 (Neutral):** Secondary mathematical resonance - **Layer 3 (Info Blue):** Tertiary harmonic frequencies - **Layer 4 (Warning Gold):** Outer field boundaries - **Layer 5 (Success Green):** Maximum field extension **Field Strength Calculation:** ``` Field Strength = min(3.0, Mahalanobis Distance × Tensor Intensity) ``` The field amplitude adjusts to ATR and mathematical distance, creating dynamic zones that respond to market volatility. **Radiation Line Network:** During active tensor states, the system projects directional radiation lines showing field energy distribution: - **8 Directional Rays:** Complete angular coverage - **Tapering Segments:** Progressive transparency for natural visual flow - **Pulse Effects:** Enhanced visualization during volatility jumps ### Dimensional Portal System **Portal Mathematics:** Dimensional portals visualize regime transitions using category theory principles: - **Green Portals (◉):** Trending regime detection (appear below price for support) - **Red Portals (◎):** Mean-reverting regime (appear above price for resistance) - **Yellow Portals (○):** Random walk regime (neutral positioning) **Tensor Trail Effects:** Each portal generates 8 trailing particles showing mathematical momentum: - **Large Particles (●):** Strong mathematical signal - **Medium Particles (◦):** Moderate signal strength - **Small Particles (·):** Weak signal continuation - **Micro Particles (˙):** Signal dissipation ### Information Flow Streams **Particle Stream Visualization:** Transfer entropy creates flowing particle streams indicating information direction: - **Upward Streams:** Volume leading price (accumulation phases) - **Downward Streams:** Price leading volume (distribution phases) - **Stream Density:** Proportional to information flow strength **15-Particle Evolution:** Each stream contains 15 particles with progressive sizing and transparency, creating natural flow visualization that makes information transfer immediately apparent. ### Fractal Matrix Grid System **Multi-Timeframe Fractal Levels:** The system calculates and displays fractal highs/lows across five Fibonacci periods: - **8-Period:** Short-term fractal structure - **13-Period:** Intermediate-term patterns - **21-Period:** Primary swing levels - **34-Period:** Major structural levels - **55-Period:** Long-term fractal boundaries **Triple-Layer Visualization:** Each fractal level uses three-layer rendering: - **Shadow Layer:** Widest, darkest foundation (width 5) - **Glow Layer:** Medium white core line (width 3) - **Tensor Layer:** Dotted mathematical overlay (width 1) **Intelligent Labeling System:** Smart spacing prevents label overlap using ATR-based minimum distances. Labels include: - **Fractal Period:** Time-based identification - **Topological Class:** Mathematical complexity rating (0, I, II, III) - **Price Level:** Exact fractal price - **Mahalanobis Distance:** Current mathematical field strength - **Hurst Exponent:** Current regime classification - **Anomaly Indicators:** Visual strength representations (○ ◐ ● ⚡) ### Wick Pressure Analysis **Rejection Level Mathematics:** The system analyzes candle wick patterns to project future pressure zones: - **Upper Wick Analysis:** Identifies selling pressure and resistance zones - **Lower Wick Analysis:** Identifies buying pressure and support zones - **Pressure Projection:** Extends lines forward based on mathematical probability **Multi-Layer Glow Effects:** Wick pressure lines use progressive transparency (1-8 layers) creating natural glow effects that make pressure zones immediately visible without cluttering the chart. ### Enhanced Regime Background **Dynamic Intensity Mapping:** Background colors reflect mathematical regime strength: - **Deep Transparency (98% alpha):** Subtle regime indication - **Pulse Intensity:** Based on regime strength calculation - **Color Coding:** Green (trending), Red (mean-reverting), Neutral (random) **Smoothing Integration:** Regime changes incorporate 10-bar smoothing to prevent background flicker while maintaining responsiveness to genuine regime shifts. ### Color Scheme System **Six Professional Themes:** - **Dark (Default):** Professional trading environment optimization - **Light:** High ambient light conditions - **Classic:** Traditional technical analysis appearance - **Neon:** High-contrast visibility for active trading - **Neutral:** Minimal distraction focus - **Bright:** Maximum visibility for complex setups Each theme maintains mathematical accuracy while optimizing visual clarity for different trading environments and personal preferences. --- ## 📊 INSTITUTIONAL-GRADE DASHBOARD ### Tensor Field Status Section **Field Strength Display:** Real-time Mahalanobis distance calculation with dynamic emoji indicators: - **⚡ (Lightning):** Extreme field strength (>1.5× threshold) - **● (Solid Circle):** Strong field activity (>1.0× threshold) - **○ (Open Circle):** Normal field state **Signal Quality Rating:** Democratic algorithm assessment: - **ELITE:** All 3 components aligned (highest probability) - **STRONG:** 2 components aligned (good probability) - **GOOD:** 1 component active (moderate probability) - **WEAK:** No clear component signals **Threshold and Anomaly Monitoring:** - **Threshold Display:** Current mathematical threshold setting - **Anomaly Level (0-100%):** Combined volatility and volume spike measurement - **>70%:** High anomaly (red warning) - **30-70%:** Moderate anomaly (orange caution) - **<30%:** Normal conditions (green confirmation) ### Tensor State Analysis Section **Mathematical State Classification:** - **↑ BULL (Tensor State +1):** Trending regime with bullish bias - **↓ BEAR (Tensor State -1):** Mean-reverting regime with bearish bias - **◈ SUPER (Tensor State 0):** Random walk regime (neutral) **Visual State Gauge:** Five-circle progression showing tensor field polarity: - **🟢🟢🟢⚪⚪:** Strong bullish mathematical alignment - **⚪⚪🟡⚪⚪:** Neutral/transitional state - **⚪⚪🔴🔴🔴:** Strong bearish mathematical alignment **Trend Direction and Phase Analysis:** - **📈 BULL / 📉 BEAR / ➡️ NEUTRAL:** Primary trend classification - **🌪️ CHAOS:** Extreme information flow (>2.0 flow strength) - **⚡ ACTIVE:** Strong information flow (1.0-2.0 flow strength) - **😴 CALM:** Low information flow (<1.0 flow strength) ### Trading Signals Section **Real-Time Signal Status:** - **🟢 ACTIVE / ⚪ INACTIVE:** Long signal availability - **🔴 ACTIVE / ⚪ INACTIVE:** Short signal availability - **Components (X/3):** Active algorithmic components - **Mode Display:** Current signal generation mode **Signal Strength Visualization:** Color-coded component count: - **Green:** 3/3 components (maximum confidence) - **Aqua:** 2/3 components (good confidence) - **Orange:** 1/3 components (moderate confidence) - **Gray:** 0/3 components (no signals) ### Performance Metrics Section **Win Rate Monitoring:** Estimated win rates based on signal quality with emoji indicators: - **🔥 (Fire):** ≥60% estimated win rate - **👍 (Thumbs Up):** 45-59% estimated win rate - **⚠️ (Warning):** <45% estimated win rate **Mathematical Metrics:** - **Hurst Exponent:** Real-time fractal dimension (0.000-1.000) - **Information Flow:** Volume/price leading indicators - **📊 VOL:** Volume leading price (accumulation/distribution) - **💰 PRICE:** Price leading volume (momentum/speculation) - **➖ NONE:** Balanced information flow - **Volatility Classification:** - **🔥 HIGH:** Above 1.5× jump threshold - **📊 NORM:** Normal volatility range - **😴 LOW:** Below 0.5× jump threshold ### Market Structure Section (Large Dashboard) **Regime Classification:** - **📈 TREND:** Hurst >0.6, momentum strategies optimal - **🔄 REVERT:** Hurst <0.4, contrarian strategies optimal - **🎲 RANDOM:** Hurst ≈0.5, breakout strategies preferred **Mathematical Field Analysis:** - **Dimensions:** Current volatility space complexity (2D-5D) - **Hawkes λ (Lambda):** Self-exciting jump intensity (0.00-1.00) - **Jump Status:** 🚨 JUMP (active) / ✅ NORM (normal) ### Settings Summary Section (Large Dashboard) **Active Configuration Display:** - **Sensitivity:** Current master sensitivity setting - **Lookback:** Primary analysis window - **Theme:** Active color scheme - **Method:** Hurst calculation method (Classic R/S, Adaptive R/S, DFA) **Dashboard Sizing Options:** - **Small:** Essential metrics only (mobile/small screens) - **Normal:** Balanced information density (standard desktop) - **Large:** Maximum detail (multi-monitor setups) **Position Options:** - **Top Right:** Standard placement (avoids price action) - **Top Left:** Wide chart optimization - **Bottom Right:** Recent price focus (scalping) - **Bottom Left:** Maximum price visibility (swing trading) --- ## 🎯 SIGNAL GENERATION LOGIC ### Multi-Component Convergence System **Component Signal Architecture:** The TMAE generates signals through sophisticated component analysis rather than simple threshold crossing: **Volatility Component:** - **Jump Detection:** Mahalanobis distance threshold breach - **Hawkes Intensity:** Self-exciting process activation (>0.2) - **Multi-dimensional:** Considers all volatility dimensions simultaneously **Hurst Regime Component:** - **Trending Markets:** Price above SMA-20 with positive momentum - **Mean-Reverting Markets:** Price at Bollinger Band extremes - **Random Markets:** Bollinger squeeze breakouts with directional confirmation **Transfer Entropy Component:** - **Volume Leadership:** Information flow from volume to price - **Volume Spike:** Volume 110%+ above 20-period average - **Flow Significance:** Above entropy threshold with directional bias ### Democratic Signal Weighting **Signal Mode Implementation:** - **Aggressive Mode:** Any single component triggers signal - **Confluence Mode:** Minimum 2 components must agree - **Conservative Mode:** All 3 components must align **Momentum Confirmation:** All signals require momentum confirmation: - **Long Signals:** RSI >50 AND price >EMA-9 - **Short Signals:** RSI <50 AND price 0.6):** - **Increase Sensitivity:** Catch momentum continuation - **Lower Mean Reversion Threshold:** Avoid counter-trend signals - **Emphasize Volume Leadership:** Institutional accumulation/distribution - **Tensor Field Focus:** Use expansion for trend continuation - **Signal Mode:** Aggressive or Confluence for trend following **Range-Bound Markets (Hurst <0.4):** - **Decrease Sensitivity:** Avoid false breakouts - **Lower Trending Threshold:** Quick regime recognition - **Focus on Price Leadership:** Retail sentiment extremes - **Fractal Grid Emphasis:** Support/resistance trading - **Signal Mode:** Conservative for high-probability reversals **Volatile Markets (High Jump Frequency):** - **Increase Hawkes Decay:** Recognize event clustering - **Higher Jump Threshold:** Avoid noise signals - **Maximum Dimensions:** Capture full volatility complexity - **Reduce Position Sizing:** Risk management adaptation - **Enhanced Visuals:** Maximum information for rapid decisions **Low Volatility Markets (Low Jump Frequency):** - **Decrease Jump Threshold:** Capture subtle movements - **Lower Hawkes Decay:** Treat moves as independent - **Reduce Dimensions:** Simplify analysis - **Increase Position Sizing:** Capitalize on compressed volatility - **Minimal Visuals:** Reduce distraction in quiet markets --- ## 🚀 ADVANCED TRADING STRATEGIES ### The Mathematical Convergence Method **Entry Protocol:** 1. **Fractal Grid Approach:** Monitor price approaching significant fractal levels 2. **Tensor Field Confirmation:** Verify field expansion supporting direction 3. **Portal Signal:** Wait for dimensional portal appearance 4. **ELITE/STRONG Quality:** Only trade highest quality mathematical signals 5. **Component Consensus:** Confirm 2+ components agree in Confluence mode **Example Implementation:** - Price approaching 21-period fractal high - Tensor field expanding upward (bullish mathematical alignment) - Green portal appears below price (trending regime confirmation) - ELITE quality signal with 3/3 components active - Enter long position with stop below fractal level **Risk Management:** - **Stop Placement:** Below/above fractal level that generated signal - **Position Sizing:** Based on Mahalanobis distance (higher distance = smaller size) - **Profit Targets:** Next fractal level or tensor field resistance ### The Regime Transition Strategy **Regime Change Detection:** 1. **Monitor Hurst Exponent:** Watch for persistent moves above/below thresholds 2. **Portal Color Change:** Regime transitions show different portal colors 3. **Background Intensity:** Increasing regime background intensity 4. **Mathematical Confirmation:** Wait for regime confirmation (hysteresis) **Trading Implementation:** - **Trending Transitions:** Trade momentum breakouts, follow trend - **Mean Reversion Transitions:** Trade range boundaries, fade extremes - **Random Transitions:** Trade breakouts with tight stops **Advanced Techniques:** - **Multi-Timeframe:** Confirm regime on higher timeframe - **Early Entry:** Enter on regime transition rather than confirmation - **Regime Strength:** Larger positions during strong regime signals ### The Information Flow Momentum Strategy **Flow Detection Protocol:** 1. **Monitor Transfer Entropy:** Watch for significant information flow shifts 2. **Volume Leadership:** Strong edge when volume leads price 3. **Flow Acceleration:** Increasing flow strength indicates momentum 4. **Directional Confirmation:** Ensure flow aligns with intended trade direction **Entry Signals:** - **Volume → Price Flow:** Enter during accumulation/distribution phases - **Price → Volume Flow:** Enter on momentum confirmation breaks - **Flow Reversal:** Counter-trend entries when flow reverses **Optimization:** - **Scalping:** Use immediate flow detection (2-5 bar lag) - **Swing Trading:** Use structural flow (10-20 bar lag) - **Multi-Asset:** Compare flow between correlated assets ### The Tensor Field Expansion Strategy **Field Mathematics:** The tensor field expansion indicates mathematical pressure building in market structure: **Expansion Phases:** 1. **Compression:** Field contracts, volatility decreases 2. **Tension Building:** Mathematical pressure accumulates 3. **Expansion:** Field expands rapidly with directional movement 4. **Resolution:** Field stabilizes at new equilibrium **Trading Applications:** - **Compression Trading:** Prepare for breakout during field contraction - **Expansion Following:** Trade direction of field expansion - **Reversion Trading:** Fade extreme field expansion - **Multi-Dimensional:** Consider all field layers for confirmation ### The Hawkes Process Event Strategy **Self-Exciting Jump Trading:** Understanding that market shocks cluster and create follow-on opportunities: **Jump Sequence Analysis:** 1. **Initial Jump:** First volatility jump detected 2. **Clustering Phase:** Hawkes intensity remains elevated 3. **Follow-On Opportunities:** Additional jumps more likely 4. **Decay Period:** Intensity gradually decreases **Implementation:** - **Jump Confirmation:** Wait for mathematical jump confirmation - **Direction Assessment:** Use other components for direction - **Clustering Trades:** Trade subsequent moves during high intensity - **Decay Exit:** Exit positions as Hawkes intensity decays ### The Fractal Confluence System **Multi-Timeframe Fractal Analysis:** Combining fractal levels across different periods for high-probability zones: **Confluence Zones:** - **Double Confluence:** 2 fractal levels align - **Triple Confluence:** 3+ fractal levels cluster - **Mathematical Confirmation:** Tensor field supports the level - **Information Flow:** Transfer entropy confirms direction **Trading Protocol:** 1. **Identify Confluence:** Find 2+ fractal levels within 1 ATR 2. **Mathematical Support:** Verify tensor field alignment 3. **Signal Quality:** Wait for STRONG or ELITE signal 4. **Risk Definition:** Use fractal level for stop placement 5. **Profit Targeting:** Next major fractal confluence zone --- ## ⚠️ COMPREHENSIVE RISK MANAGEMENT ### Mathematical Position Sizing **Mahalanobis Distance Integration:** Position size should inversely correlate with mathematical field strength: ``` Position Size = Base Size × (Threshold / Mahalanobis Distance) ``` **Risk Scaling Matrix:** - **Low Field Strength (<2.0):** Standard position sizing - **Moderate Field Strength (2.0-3.0):** 75% position sizing - **High Field Strength (3.0-4.0):** 50% position sizing - **Extreme Field Strength (>4.0):** 25% position sizing or no trade ### Signal Quality Risk Adjustment **Quality-Based Position Sizing:** - **ELITE Signals:** 100% of planned position size - **STRONG Signals:** 75% of planned position size - **GOOD Signals:** 50% of planned position size - **WEAK Signals:** No position or paper trading only **Component Agreement Scaling:** - **3/3 Components:** Full position size - **2/3 Components:** 75% position size - **1/3 Components:** 50% position size or skip trade ### Regime-Adaptive Risk Management **Trending Market Risk:** - **Wider Stops:** Allow for trend continuation - **Trend Following:** Trade with regime direction - **Higher Position Size:** Trend probability advantage - **Momentum Stops:** Trail stops based on momentum indicators **Mean-Reverting Market Risk:** - **Tighter Stops:** Quick exits on trend continuation - **Contrarian Positioning:** Trade against extremes - **Smaller Position Size:** Higher reversal failure rate - **Level-Based Stops:** Use fractal levels for stops **Random Market Risk:** - **Breakout Focus:** Trade only clear breakouts - **Tight Initial Stops:** Quick exit if breakout fails - **Reduced Frequency:** Skip marginal setups - **Range-Based Targets:** Profit targets at range boundaries ### Volatility-Adaptive Risk Controls **High Volatility Periods:** - **Reduced Position Size:** Account for wider price swings - **Wider Stops:** Avoid noise-based exits - **Lower Frequency:** Skip marginal setups - **Faster Exits:** Take profits more quickly **Low Volatility Periods:** - **Standard Position Size:** Normal risk parameters - **Tighter Stops:** Take advantage of compressed ranges - **Higher Frequency:** Trade more setups - **Extended Targets:** Allow for compressed volatility expansion ### Multi-Timeframe Risk Alignment **Higher Timeframe Trend:** - **With Trend:** Standard or increased position size - **Against Trend:** Reduced position size or skip - **Neutral Trend:** Standard position size with tight management **Risk Hierarchy:** 1. **Primary:** Current timeframe signal quality 2. **Secondary:** Higher timeframe trend alignment 3. **Tertiary:** Mathematical field strength 4. **Quaternary:** Market regime classification --- ## 📚 EDUCATIONAL VALUE AND MATHEMATICAL CONCEPTS ### Advanced Mathematical Concepts **Tensor Analysis in Markets:** The TMAE introduces traders to tensor analysis, a branch of mathematics typically reserved for physics and advanced engineering. Tensors provide a framework for understanding multi-dimensional market relationships that scalar and vector analysis cannot capture. **Information Theory Applications:** Transfer entropy implementation teaches traders about information flow in markets, a concept from information theory that quantifies directional causality between variables. This provides intuition about market microstructure and participant behavior. **Fractal Geometry in Trading:** The Hurst exponent calculation exposes traders to fractal geometry concepts, helping understand that markets exhibit self-similar patterns across multiple timeframes. This mathematical insight transforms how traders view market structure. **Stochastic Process Theory:** The Hawkes process implementation introduces concepts from stochastic process theory, specifically self-exciting point processes. This provides mathematical framework for understanding why market events cluster and exhibit memory effects. ### Learning Progressive Complexity **Beginner Mathematical Concepts:** - **Volatility Dimensions:** Understanding multi-dimensional analysis - **Regime Classification:** Learning market personality types - **Signal Democracy:** Algorithmic consensus building - **Visual Mathematics:** Interpreting mathematical concepts visually **Intermediate Mathematical Applications:** - **Mahalanobis Distance:** Statistical distance in multi-dimensional space - **Rescaled Range Analysis:** Fractal dimension measurement - **Information Entropy:** Quantifying uncertainty and causality - **Field Theory:** Understanding mathematical fields in market context **Advanced Mathematical Integration:** - **Tensor Field Dynamics:** Multi-dimensional market force analysis - **Stochastic Self-Excitation:** Event clustering and memory effects - **Categorical Composition:** Mathematical signal combination theory - **Topological Market Analysis:** Understanding market shape and connectivity ### Practical Mathematical Intuition **Developing Market Mathematics Intuition:** The TMAE serves as a bridge between abstract mathematical concepts and practical trading applications. Traders develop intuitive understanding of: - **How markets exhibit mathematical structure beneath apparent randomness** - **Why multi-dimensional analysis reveals patterns invisible to single-variable approaches** - **How information flows through markets in measurable, predictable ways** - **Why mathematical models provide probabilistic edges rather than certainties** --- ## 🔬 IMPLEMENTATION AND OPTIMIZATION ### Getting Started Protocol **Phase 1: Observation (Week 1)** 1. **Apply with defaults:** Use standard settings on your primary trading timeframe 2. **Study visual elements:** Learn to interpret tensor fields, portals, and streams 3. **Monitor dashboard:** Observe how metrics change with market conditions 4. **No trading:** Focus entirely on pattern recognition and understanding **Phase 2: Pattern Recognition (Week 2-3)** 1. **Identify signal patterns:** Note what market conditions produce different signal qualities 2. **Regime correlation:** Observe how Hurst regimes affect signal performance 3. **Visual confirmation:** Learn to read tensor field expansion and portal signals 4. **Component analysis:** Understand which components drive signals in different markets **Phase 3: Parameter Optimization (Week 4-5)** 1. **Asset-specific tuning:** Adjust parameters for your specific trading instrument 2. **Timeframe optimization:** Fine-tune for your preferred trading timeframe 3. **Sensitivity adjustment:** Balance signal frequency with quality 4. **Visual customization:** Optimize colors and intensity for your trading environment **Phase 4: Live Implementation (Week 6+)** 1. **Paper trading:** Test signals with hypothetical trades 2. **Small position sizing:** Begin with minimal risk during learning phase 3. **Performance tracking:** Monitor actual vs. expected signal performance 4. **Continuous optimization:** Refine settings based on real performance data ### Performance Monitoring System **Signal Quality Tracking:** - **ELITE Signal Win Rate:** Track highest quality signals separately - **Component Performance:** Monitor which components provide best signals - **Regime Performance:** Analyze performance across different market regimes - **Timeframe Analysis:** Compare performance across different session times **Mathematical Metric Correlation:** - **Field Strength vs. Performance:** Higher field strength should correlate with better performance - **Component Agreement vs. Win Rate:** More component agreement should improve win rates - **Regime Alignment vs. Success:** Trading with mathematical regime should outperform ### Continuous Optimization Process **Monthly Review Protocol:** 1. **Performance Analysis:** Review win rates, profit factors, and maximum drawdown 2. **Parameter Assessment:** Evaluate if current settings remain optimal 3. **Market Adaptation:** Adjust for changes in market character or volatility 4. **Component Weighting:** Consider if certain components should receive more/less emphasis **Quarterly Deep Analysis:** 1. **Mathematical Model Validation:** Verify that mathematical relationships remain valid 2. **Regime Distribution:** Analyze time spent in different market regimes 3. **Signal Evolution:** Track how signal characteristics change over time 4. **Correlation Analysis:** Monitor correlations between different mathematical components --- ## 🌟 UNIQUE INNOVATIONS AND CONTRIBUTIONS ### Revolutionary Mathematical Integration **First-Ever Implementations:** 1. **Multi-Dimensional Volatility Tensor:** First indicator to implement true tensor analysis for market volatility 2. **Real-Time Hawkes Process:** First trading implementation of self-exciting point processes 3. **Transfer Entropy Trading Signals:** First practical application of information theory for trade generation 4. **Democratic Component Voting:** First algorithmic consensus system for signal generation 5. **Fractal-Projected Signal Quality:** First system to predict signal quality at future price levels ### Advanced Visualization Innovations **Mathematical Visualization Breakthroughs:** - **Tensor Field Radiation:** Visual representation of mathematical field energy - **Dimensional Portal System:** Category theory visualization for regime transitions - **Information Flow Streams:** Real-time visual display of market information transfer - **Multi-Layer Fractal Grid:** Intelligent spacing and projection system - **Regime Intensity Mapping:** Dynamic background showing mathematical regime strength ### Practical Trading Innovations **Trading System Advances:** - **Quality-Weighted Signal Generation:** Signals rated by mathematical confidence - **Regime-Adaptive Strategy Selection:** Automatic strategy optimization based on market personality - **Anti-Spam Signal Protection:** Mathematical prevention of signal clustering - **Component Performance Tracking:** Real-time monitoring of algorithmic component success - **Field-Strength Position Sizing:** Mathematical volatility integration for risk management --- ## ⚖️ RESPONSIBLE USAGE AND LIMITATIONS ### Mathematical Model Limitations **Understanding Model Boundaries:** While the TMAE implements sophisticated mathematical concepts, traders must understand fundamental limitations: - **Markets Are Not Purely Mathematical:** Human psychology, news events, and fundamental factors create unpredictable elements - **Past Performance Limitations:** Mathematical relationships that worked historically may not persist indefinitely - **Model Risk:** Complex models can fail during unprecedented market conditions - **Overfitting Potential:** Highly optimized parameters may not generalize to future market conditions ### Proper Implementation Guidelines **Risk Management Requirements:** - **Never Risk More Than 2% Per Trade:** Regardless of signal quality - **Diversification Mandatory:** Don't rely solely on mathematical signals - **Position Sizing Discipline:** Use mathematical field strength for sizing, not confidence - **Stop Loss Non-Negotiable:** Every trade must have predefined risk parameters **Realistic Expectations:** - **Mathematical Edge, Not Certainty:** The indicator provides probabilistic advantages, not guaranteed outcomes - **Learning Curve Required:** Complex mathematical concepts require time to master - **Market Adaptation Necessary:** Parameters must evolve with changing market conditions - **Continuous Education Important:** Understanding underlying mathematics improves application ### Ethical Trading Considerations **Market Impact Awareness:** - **Information Asymmetry:** Advanced mathematical analysis may provide advantages over other market participants - **Position Size Responsibility:** Large positions based on mathematical signals can impact market structure - **Sharing Knowledge:** Consider educational contributions to trading community - **Fair Market Participation:** Use mathematical advantages responsibly within market framework ### Professional Development Path **Skill Development Sequence:** 1. **Basic Mathematical Literacy:** Understand fundamental concepts before advanced application 2. **Risk Management Mastery:** Develop disciplined risk control before relying on complex signals 3. **Market Psychology Understanding:** Combine mathematical analysis with behavioral market insights 4. **Continuous Learning:** Stay updated on mathematical finance developments and market evolution --- ## 🔮 CONCLUSION The Tensor Market Analysis Engine represents a quantum leap forward in technical analysis, successfully bridging the gap between advanced pure mathematics and practical trading applications. By integrating multi-dimensional volatility analysis, fractal market theory, and information flow dynamics, the TMAE reveals market structure invisible to conventional analysis while maintaining visual clarity and practical usability. ### Mathematical Innovation Legacy This indicator establishes new paradigms in technical analysis: - **Tensor analysis for market volatility understanding** - **Stochastic self-excitation for event clustering prediction** - **Information theory for causality-based trade generation** - **Democratic algorithmic consensus for signal quality enhancement** - **Mathematical field visualization for intuitive market understanding** ### Practical Trading Revolution Beyond mathematical innovation, the TMAE transforms practical trading: - **Quality-rated signals replace binary buy/sell decisions** - **Regime-adaptive strategies automatically optimize for market personality** - **Multi-dimensional risk management integrates mathematical volatility measures** - **Visual mathematical concepts make complex analysis immediately interpretable** - **Educational value creates lasting improvement in trading understanding** ### Future-Proof Design The mathematical foundations ensure lasting relevance: - **Universal mathematical principles transcend market evolution** - **Multi-dimensional analysis adapts to new market structures** - **Regime detection automatically adjusts to changing market personalities** - **Component democracy allows for future algorithmic additions** - **Mathematical visualization scales with increasing market complexity** ### Commitment to Excellence The TMAE represents more than an indicator—it embodies a philosophy of bringing rigorous mathematical analysis to trading while maintaining practical utility and visual elegance. Every component, from the multi-dimensional tensor fields to the democratic signal generation, reflects a commitment to mathematical accuracy, trading practicality, and educational value. ### Trading with Mathematical Precision In an era where markets grow increasingly complex and computational, the TMAE provides traders with mathematical tools previously available only to institutional quantitative research teams. Yet unlike academic mathematical models, the TMAE translates complex concepts into intuitive visual representations and practical trading signals. By combining the mathematical rigor of tensor analysis, the statistical power of multi-dimensional volatility modeling, and the information-theoretic insights of transfer entropy, traders gain unprecedented insight into market structure and dynamics. ### Final Perspective Markets, like nature, exhibit profound mathematical beauty beneath apparent chaos. The Tensor Market Analysis Engine serves as a mathematical lens that reveals this hidden order, transforming how traders perceive and interact with market structure. Through mathematical precision, visual elegance, and practical utility, the TMAE empowers traders to see beyond the noise and trade with the confidence that comes from understanding the mathematical principles governing market behavior. Trade with mathematical insight. Trade with the power of tensors. Trade with the TMAE. *"In mathematics, you don't understand things. You just get used to them." - John von Neumann* *With the TMAE, mathematical market understanding becomes not just possible, but intuitive.* — Dskyz, Trade with insight. Trade with anticipation.
Индикатор Pine Script®
от DskyzInvestments
15
Swing EMAWhat is Swing EMA? Swing EMA is an exponential moving average crossover-based indicator used for low-risk directional trading. it's used for different types of Ema 20,50,100 and 200, 3 of them are plotted on chat 20,100,200. 100 and 200 Ema is used for showing support and resistance and it contains highlights area between them and its change color according to market crossover condition. 20 moving average is used for knowing Market Behaviour and changing its color according to crossover conditions of 50 and 20 Ema. How does it work? It contains 4 different types of moving averages 20,50,100, 200 out of 3 are plotted on the chart. 20 Ema is used for knowing current market behavior. Its changes its color based on the crossover of 50 Ema and 20 Ema, if 20 Ema is higher than 50 Ema then it changes its color to green, and its opposites are changed their color to red when 20 Ema is lower than 50 Ema. 100 and 200 Ema used as a support and resistance and is also contain highlighted areas between them its change their color based on the crossover if 100 Ema is higher than 200 Ema a then both of them are going to change color to Green and as an opposite, if 200 Ema is higher then 100 Ema is going to change its color to red. So in simple word 100 and 200 Ema is used as support and resistance zone and 20 Ema is used to know current market behavior. How to use it? It is very easy to understand by looking at the example I gave where are the two different types of phrases. phrase bull phrase and bear phrase so 100 and 200 Ema is used as a support and resistance and to tell you which phrase is currently on the market on example there is a bull phrase on the left side and bear phrase on the right side by using your technical analysis you can find out a really good spot to buy your stocks on a bull phrase and too short on the bear phrase. 20 Ema is used as a knowing the current market behavior it doesn't make any difference on buying or selling as much as 100 Ema and 200 Ema. Tips Don't trade against the market. Try trade on trending stocks rather than sideways stock. The higher the area between 100 Ema and 200 Ema is the stronger the phrase. Do Backtesting before real trading. Enjoy Trading.
Индикатор Pine Script®
от DevikSoni
1
Linh Index Trend & Exhaustion SuitePurpose: One overlay to judge trend, reversal risk, overextension, and volatility squeezes on indexes (built for VNINDEX/VN30, works on any symbol & timeframe). What it shows Trend state: Bull / Bear / Transition via 20/50/200 EMAs + slope check. Overextension heatmap: Background paints when price is stretched vs the 20-EMA by ATR or % (you set the thresholds). Squeeze detection: Squeeze ON (yellow dot): Bollinger Bands (20,2) inside Keltner Channels (20,1.5). Squeeze OFF + Release: White dot; script confirms direction only when close > BB upper (up) or close < BB lower (down). 52-week context: Distance to 52-week high/low (%). Higher-TF alignment: Optional weekly trend reading shown on the label while you’re on the daily. Anchored VWAP(s): Two optional AVWAPs from dates you choose (e.g., YTD open, last big gap/earnings). Plots & labels EMAs 20/50/200 (toggle on/off). Optional BB & KC bands for diagnostics. AVWAP #1 / #2 (optional). Status label with: Trend, EMAs, Dist to 20-EMA (%, ATR), 52-week distances, HTF state. Built-in alerts (set “Once per bar close”) EMA10 ↔ EMA20 cross (early momentum shift) EMA20 ↔ EMA50 cross (trend confirmation/negation) Price ↔ EMA200 cross (long-term regime) Squeeze Release UP / DOWN (BB breakout after squeeze) Overextension Cool-off UP / DN (stretched vs 20-EMA + momentum rolling) Near 52-week High (within your % threshold) How to use (playbook) Map regime: Prefer trades when Daily = Bull and HTF (Weekly) = Bull (shown on label). Hunt expansion: Yellow → White dot and close beyond BB = fresh move. Avoid chasing stretch: If background is painted (overextended vs 20-EMA), wait for a pullback or intraday base. Locations matter: 52-week proximity + HTF Bull improves breakout quality. Anchors: Add AVWAP from YTD open or last major gap to frame support/resistance. Suggested settings Overextension: ATR = 2.0, % = 4.0 to start; tune per index volatility. Squeeze bands: BB(20,2) & KC(20,1.5) default are balanced; tighten KC (1.3) for more signals, widen (1.8) for fewer/higher quality. Timeframes: Daily for signals, Weekly for bias. Optional 65-min for entries.
Индикатор Pine Script®
от EmmaMia1618
EMA Crossover Strategy with Take Profit and Candle HighlightingStrategy Overview: This strategy is based on the Exponential Moving Averages (EMA), specifically the EMA 20 and EMA 50. It takes advantage of EMA crossovers to identify potential trend reversals and uses multiple take-profit levels and a stop-loss for risk management. Key Components: EMA Crossover Signals: Buy Signal (Uptrend): A buy signal is generated when the EMA 20 crosses above the EMA 50, signaling the start of a potential uptrend. Sell Signal (Downtrend): A sell signal is generated when the EMA 20 crosses below the EMA 50, signaling the start of a potential downtrend. Take Profit Levels: Once a buy or sell signal is triggered, the strategy calculates multiple take-profit levels based on the range of the previous candle. The user can define multipliers for each take-profit level. Take Profit 1 (TP1): 50% of the previous candle's range above or below the entry price. Take Profit 2 (TP2): 100% of the previous candle's range above or below the entry price. Take Profit 3 (TP3): 150% of the previous candle's range above or below the entry price. Take Profit 4 (TP4): 200% of the previous candle's range above or below the entry price. These levels are adjusted dynamically based on the previous candle's high and low, so they adapt to changing market conditions. Stop Loss: A stop-loss is set to manage risk. The default stop-loss is 3% from the entry price, but this can be adjusted in the settings. The stop-loss is triggered if the price moves against the position by this amount. Trend Direction Highlighting: The strategy highlights the bars (candles) with colors: Green bars indicate an uptrend (when EMA 20 crosses above EMA 50). Red bars indicate a downtrend (when EMA 20 crosses below EMA 50). These visual cues help users easily identify the market direction. Strategy Entries and Exits: Entries: The strategy enters a long (buy) position when the EMA 20 crosses above the EMA 50 and a short (sell) position when the EMA 20 crosses below the EMA 50. Exits: The strategy exits the positions at any of the defined take-profit levels or the stop-loss. Multiple exit levels provide opportunities to take profit progressively as the price moves in the favorable direction. Entry and Exit Conditions in Detail: Buy Entry Condition (Uptrend): A buy position is opened when EMA 20 crosses above EMA 50, signaling the start of an uptrend. The strategy calculates take-profit levels above the entry price based on the previous bar's range (high-low) and the multipliers for TP1, TP2, TP3, and TP4. Sell Entry Condition (Downtrend): A sell position is opened when EMA 20 crosses below EMA 50, signaling the start of a downtrend. The strategy calculates take-profit levels below the entry price, similarly based on the previous bar's range. Exit Conditions: Take Profit: The strategy attempts to exit the position at one of the take-profit levels (TP1, TP2, TP3, or TP4). If the price reaches any of these levels, the position is closed. Stop Loss: The strategy also has a stop-loss set at a default value (3% below the entry for long trades, and 3% above for short trades). The stop-loss helps to protect the position from significant losses. Backtesting and Performance Metrics: The strategy can be backtested using TradingView's Strategy Tester. The results will show how the strategy would have performed historically, including key metrics like: Net Profit Max Drawdown Win Rate Profit Factor Average Trade Duration These performance metrics can help users assess the strategy's effectiveness over historical periods and optimize the input parameters (e.g., multipliers, stop-loss level). Customization: The strategy allows for the adjustment of several key input values via the settings panel: Take Profit Multipliers: Users can customize the multipliers for each take-profit level (TP1, TP2, TP3, TP4). Stop Loss Percentage: The user can also adjust the stop-loss percentage to a custom value. EMA Periods: The default periods for the EMA 50 and EMA 20 are fixed, but they can be adjusted for different market conditions. Pros of the Strategy: EMA Crossover Strategy: A classic and well-known strategy used by traders to identify the start of new trends. Multiple Take Profit Levels: By taking profits progressively at different levels, the strategy locks in gains as the price moves in favor of the position. Clear Trend Identification: The use of green and red bars makes it visually easier to follow the market's direction. Risk Management: The stop-loss and take-profit features help to manage risk and optimize profit-taking. Cons of the Strategy: Lagging Indicators: The strategy relies on EMAs, which are lagging indicators. This means that the strategy might enter trades after the trend has already started, leading to missed opportunities or less-than-ideal entry prices. No Confirmation Indicators: The strategy purely depends on the crossover of two EMAs and does not use other confirming indicators (e.g., RSI, MACD), which might lead to false signals in volatile markets. How to Use in Real-Time Trading: Use for Backtesting: Initially, use this strategy in backtest mode to understand how it would have performed historically with your preferred settings. Paper Trading: Once comfortable, you can use paper trading to test the strategy in real-time market conditions without risking real money. Live Trading: After testing and optimizing the strategy, you can consider using it for live trading with proper risk management in place (e.g., starting with a small position size and adjusting parameters as needed). Summary: This strategy is designed to identify trend reversals using EMA crossovers, with customizable take-profit levels and a stop-loss to manage risk. It's well-suited for traders looking for a systematic way to enter and exit trades based on clear market signals, while also providing flexibility to adjust for different risk profiles and trading styles.
Стратегия Pine Script®
от Quince2010
2
Market Analysis Assistant This indicator uniquely maps and interprets key market conditions using Moving Averages, MACD, RSI, and Bollinger Bands. Unlike traditional indicators that only display visual signals, this tool provides written analysis directly on your chart as soon as specific conditions are met. This feature makes it easier to understand the market’s current state and anticipate potential moves. Why Moving Averages? Moving Averages are essential for identifying the overall trend of the market. By analyzing the 200, 20, and 9-period Moving Averages, this indicator helps traders quickly determine whether the market is in an uptrend, downtrend, or sideways phase. The integration of multiple averages offers a comprehensive view, allowing for more accurate trend identification. Why MACD? The MACD is a powerful tool for spotting trend reversals and momentum shifts. By monitoring MACD crossovers, divergences, and the position of the MACD line relative to the zero line, this indicator helps you identify potential changes in the trend direction before they fully develop, giving you a critical edge. Why RSI? RSI is crucial for understanding the market's overbought and oversold conditions. By tracking RSI levels and its crossover with its moving average, this indicator provides early warnings for potential trend reversals or continuations, helping you time your entries and exits more effectively. Why Bollinger Bands? Bollinger Bands are used to measure market volatility and identify breakout opportunities. By analyzing the price’s relationship with the upper and lower bands, this indicator helps traders spot potential overbought or oversold conditions, as well as possible breakout scenarios, offering a clear view of market dynamics. Trend Identification (getTrend()): Detects whether the market is in an uptrend, downtrend, or sideways phase by analyzing the position of the price relative to the 200, 20, and 9-period moving averages. MACD Analysis (analyzeMACD()): Identifies potential trend reversals or continuations through MACD divergence, crossovers, and the MACD signal line's position relative to the zero line. RSI Monitoring (analyzeRSI()): Detects overbought and oversold conditions and anticipates trend continuation or corrections based on RSI crossings with its moving average. Trap Zone Detection (analyzeTrapZone()): Highlights areas of potential price consolidation between the 20 and 200-period moving averages, indicating possible breakouts. Bollinger Bands Analysis (analyzeBollingerBands()): Analyzes the price’s relationship with Bollinger Bands to identify overbought/oversold conditions, breakouts, and potential trend continuations or correction. Fibonacci retracement will also check the moment the price tests a monthly or daily weekly Fibonacci retracement What Makes This Indicator Unique? This indicator stands out by transforming complex technical analysis into clear, written insights directly on your chart. As soon as specific conditions are met—such as a MACD crossover or an RSI overbought/oversold level—this tool immediately displays a written summary of the event, helping traders to quickly understand and act on market developments. How to Use My Indicator: The indicator is designed to provide detailed, real-time market condition analysis using Moving Averages, MACD, RSI, and Bollinger Bands. When certain market conditions are met, such as the price testing a specific moving average or the MACD indicating a potential reversal, the indicator displays this information in written form directly on the chart, in both English and Portuguese. How to Interpret the Displayed Information: The information displayed by the indicator can be used for: Identifying Support and Resistance: The indicator can help identify when the price is testing an important support or resistance level, such as a moving average or a Fibonacci level, allowing the user to decide whether to enter or exit a position. Trend Detection: If the indicator shows that the price is above the 200, 20, and 9-period moving averages, this may be a sign of an uptrend, indicating that the user should consider maintaining or opening buy positions. Correction Signals: When the MACD indicates a potential correction, the user may decide to protect their profits by adjusting stops or even exiting the position to avoid losses. Identifying Overbought/Oversold Conditions: Based on the RSI, the indicator can alert to overbought or oversold conditions, helping the user avoid entering a trade at an unfavorable time. Example of Use: the indicator shows several important pieces of information, such as: "US100 Price is at the 50.0% Fibonacci level (Last Monthly)." This suggests that the price is testing a significant Fibonacci level, which could be a point of reversal or continuation. A trader can use this information to adjust their entry or exit strategy. "DXY RSI below 30: Indication of oversold condition" This indicates that the DXY is in an oversold condition, which might suggest an upcoming bullish reversal. A trader could consider this when trading DXY-related assets. "Bullish Trend: Price is above the 200, 20, and 9-period moving averages." This confirms an uptrend, giving the user more confidence to hold long positions. Availability: This indicator is available in two languages: English and Portuguese. It is ideal for traders who prefer analysis in English as well as those who prefer it in Portuguese, making it a versatile and accessible tool for traders from different backgrounds Este indicador mapeia e interpreta de forma única as principais condições de mercado utilizando Médias Móveis, MACD, RSI e Bandas de Bollinger. Ao contrário dos indicadores tradicionais que apenas exibem sinais visuais, esta ferramenta oferece uma análise escrita diretamente no seu gráfico assim que determinadas condições são atendidas. Isso facilita o entendimento do estado atual do mercado e a antecipação de possíveis movimentos. Por que Médias Móveis? As Médias Móveis são essenciais para identificar a tendência geral do mercado. Ao analisar as Médias Móveis de 200, 20 e 9 períodos, este indicador ajuda os traders a determinarem rapidamente se o mercado está em tendência de alta, baixa ou em fase lateral. A integração de múltiplas médias oferece uma visão abrangente, permitindo uma identificação mais precisa das tendências. Por que MACD? O MACD é uma ferramenta poderosa para identificar reversões de tendência e mudanças de momentum. Monitorando os cruzamentos do MACD, divergências e a posição da linha MACD em relação à linha zero, este indicador ajuda você a identificar possíveis mudanças na direção da tendência antes que elas se desenvolvam completamente, dando-lhe uma vantagem crítica. Por que RSI? O RSI é crucial para entender as condições de sobrecompra e sobrevenda do mercado. Acompanhando os níveis do RSI e seu cruzamento com sua média móvel, este indicador fornece avisos antecipados para possíveis reversões ou continuações de tendência, ajudando você a cronometrar suas entradas e saídas de forma mais eficaz. Por que Bandas de Bollinger? As Bandas de Bollinger são usadas para medir a volatilidade do mercado e identificar oportunidades de rompimento. Ao analisar a relação do preço com as bandas superior e inferior, este indicador ajuda os traders a identificar condições de sobrecompra ou sobrevenda, bem como possíveis cenários de rompimento, oferecendo uma visão clara da dinâmica do mercado. Identificação de Tendências (getTrend()): Detecta se o mercado está em tendência de alta, baixa ou em fase lateral, analisando a posição do preço em relação às médias móveis de 200, 20 e 9 períodos. Análise de MACD (analyzeMACD()): Identifica possíveis reversões ou continuações de tendência através de divergências do MACD, cruzamentos, e a posição da linha de sinal do MACD em relação à linha zero. Monitoramento do RSI (analyzeRSI()): Detecta condições de sobrecompra e sobrevenda e antecipa a continuação da tendência ou correções com base nos cruzamentos do RSI com sua média móvel. Detecção de Zona de Armadilha (analyzeTrapZone()): Destaca áreas de possível consolidação de preços entre as médias móveis de 20 e 200 períodos, indicando possíveis rompimentos. Análise das Bandas de Bollinger (analyzeBollingerBands()): Analisa a relação do preço com as Bandas de Bollinger para identificar condições de sobrecompra/sobrevenda, rompimentos e possíveis continuações de tendência ou correção. A retração de Fibonacci também verificará o momento em que o preço testa uma retração de Fibonacci semanal mensal ou diária O que Torna Este Indicador Único? Este indicador se destaca por transformar análises técnicas complexas em insights escritos claros diretamente no seu gráfico. Assim que condições específicas são atendidas—como um cruzamento do MACD ou um nível de sobrecompra/sobrevenda do RSI—esta ferramenta exibe imediatamente um resumo escrito do evento, ajudando os traders a entenderem e agirem rapidamente sobre as mudanças do mercado. Como Utilizar o Meu Indicador: O indicador foi desenvolvido para oferecer uma análise detalhada e em tempo real das condições de mercado, utilizando os conceitos de Médias Móveis, MACD, RSI e Bandas de Bollinger. Quando certas condições de mercado são atingidas, como o preço testando uma média móvel específica ou o MACD indicando uma possível reversão, o indicador exibe essas informações de forma escrita diretamente no gráfico, em inglês e português. Como Interpretar as Informações Exibidas: As informações exibidas pelo indicador podem ser usadas para: Identificação de Suportes e Resistências: O indicador pode ajudar a identificar quando o preço está testando um nível de suporte ou resistência importante, como uma média móvel ou um nível de Fibonacci, permitindo ao usuário decidir se deve entrar ou sair de uma posição. Detecção de Tendências: Se o indicador mostra que o preço está acima das médias móveis de 200, 20 e 9 períodos, isso pode ser um sinal de uma tendência de alta, indicando que o usuário deve considerar manter ou abrir posições de compra. Sinais de Correção: Quando o MACD indica uma possível correção, o usuário pode decidir proteger seus lucros ajustando os stops ou até mesmo saindo da posição para evitar perdas. Identificação de Condições de Sobrecompra/Sobrevenda: Com base no RSI, o indicador pode alertar sobre condições de sobrecompra ou sobrevenda, ajudando o usuário a evitar entrar em uma operação em um momento desfavorável. Exemplo de Utilização: o indicador mostra várias informações importantes, como: "O preço do US100 está no nível de Fibonacci de 50,0% (mês passado)." Isso sugere que o preço está testando um nível significativo de Fibonacci, o que pode ser um ponto de reversão ou continuação. Um trader pode usar essa informação para ajustar sua estratégia de entrada ou saída. DXY RSI abaixo de 30: Indicação de condição de sobrevenda" Isso indica que o DXY está em uma condição de sobrevenda, o que pode sugerir uma reversão de alta em breve. Um trader pode considerar isso ao fazer operações relacionadas ao DXY. "Tendência de alta: o preço está acima das médias móveis de 200, 20 e 9 períodos." Isso confirma uma tendência de alta, dando ao usuário mais confiança para manter posições longas. Disponibilidade: Este indicador está disponível em dois idiomas: inglês e português. Ele é ideal tanto para traders que preferem análises em inglês quanto para aqueles que preferem em português. Isso o torna uma ferramenta versátil e acessível para traders de diferentes origens.
Индикатор Pine Script®
от rafaelfutuoso
Turtle Trade Channels Indicator TUTCILegendary trade system which proved that great traders can be made, not born. Turtle Trade Experiment made 80% annual return for 4 years and made 150 million $ Turtle Trade trend following system is a complete opposite to the "buy low and sell high" approach. This trend following system was taught to a group of average and normal individuals, and almost everyone turned into a profitable trader. They used the basis logic of well known DONCHIAN CHANNELS which developed by Richard Donchian. The main rule is "Trade an 20-day breakout and take profits when an 10-day high or low is breached ". Examples: Buy a 20-day breakout and close the trade when price action reaches a 10-day low. Go short a 20-day breakout and close the trade when price action reaches a 10-day high. In this indicator, The red line is the trading line which indicates the trend directio n: Price bars over the trend line indicates uptrend Price bars under the trend line means downtrend The dotted blue line is the exit line. Original system is: Go long when the price High is equal to or above previous 20 day Highest price. Go short when the price Low is equal to or below previous 20 day Lowest price. Exit long positions when the price touches the exit line Exit short positions when the price touches the exit line Recommended initial stop-loss is ATR * 2 from the opening price. Default system parameters were 20,10 and 55,20. Original Turtle Rules: To trade exactly like the turtles did, you need to set up two indicators representing the main and the failsafe system. Set up the main indicator with EntryPeriod = 20 and ExitPeriod = 10 (A.k.a S1) Set up the failsafe indicator with EntryPeriod = 55 and ExitPeriod = 20 using a different color. (A.k.a S2) The entry strategy using S1 is as follows Buy 20-day breakouts using S1 only if last signaled trade was a loss. Sell 20-day breakouts using S1 only if last signaled trade was a loss. If last signaled trade by S1 was a win, you shouldn't trade -Irregardless of the direction or if you traded last signal it or not- The entry strategy using S2 is as follows: Buy 55-day breakouts only if you ignored last S1 signal and the market is rallying without you Sell 55-day breakouts only if you ignored last S1 signal and the market is pluging without you You can Highlight the chart with provided trade signals: Green background color when Long Red background color when Short No background color when flat WARNING: TURTLE TRADE STOP or ADDING more UNITS RULES ARE NOT INCLUDED. Author: Kıvanç Özbilgiç Also you can show or hide trade signals with the button on the settings menu
Индикатор Pine Script®
от KivancOzbilgic
134
S&P Merval Index Volume Indicator (Shares, ARS, U$S CCL GGAL)S&P Merval Index Volume Indicator (Shares, ARS, U$S CCL GGAL) ◾ This indicator reflects a close estimate of the traded volume in the S&P Merval Index BCBA:IMV for nominal shares, traded money in ARS & USD using a financial FX rate. ◾ The constituents of the index "must meet minimum size and liquidity requirements" as it is been declared by S&P Dow Jones Indexes. On this version of the indicator were reflected the current set of stocks for the Index as of Monday, July 27, 2020 for actual and historical sessions. ◾ Eventually, there could be changes in consitutents as per the S&P Dow Jones Indexes classification and re-balance that will be reflected on this script or a new one. ◾ Aggregated volume of nominal shares for each of the stocks constitutents is multiplied by their closing prices to estimates the effective volume in ARS & adjusted by the FX rate with "Contado con Liquidación" FX rate closing session price. ◾ It serves as a dynamical volume indicator available for standard and customized timeframes. Provides an assertive look over trading activity which allows the analyst to measure effectively either resistance or support zones in Bull / Flat or Bear markets. ◾ Output of 10 trading days of effective volume was cross-checked with "IAMC Informe diario" www.iamc.com.ar the official daily report by the exchange ByMA (Bolsas y Mercados de Argentina). 1) Trading Sessions Dates 7/27/20; 7/23/20; 7/22/20; 7/21/20; 7/20/20; 7/16/20; 7/15/20; 7/14/20; 7/13/20 2) IAMC Informe Diario S&P Merval Index Effective volume (ARS) for each of 1) $1309.4M; $1999.3M; $1691.1M; $1585.6M; $949.7M; $818.6M; $1010.4M; $962.3M; $1515.7M 3) Pine indicator S&P Merval Index Effective volume (ARS) for each 1) $1294.6M; $1911.7M; $1691.3M; $1526.6M; $901.4M; $796.7M; $961.9M; $939.7M; $1404.7 M 4) Variance 3) | 2) -1%; -4%; 0%; -4%; -5%; -3%; -5%; -2%; -7% Average Deviation: -4% Standard Deviation: 2% * This quick analysis depicts that effective volume displayed may (or not) have a non significance variance over the real data reported by the National Exchange due to the script calculation. * Thanks to Alan who helped me a lot with the code!
Индикатор Pine Script®
от marketmakerBA
4
6 SMA&look back 20SMA strategy6 SMA&look back 20SMA strategy The moving average is calculated based on historical prices and is a backward indicator,Unable to forcast future prices. But the moving average still represents the price trend, so we can forcast by moving average. Each point of the 20-day SMA is calculated based on the closing price of the past 20 days. Therefore, we can know that the closing price of the first 20 days directly affects the latest point of SMA. The last 20 days are the prices included in the calculation, which directly affect the trend of the latest points. For example,if the day before the 20th is a sharp fall, the latest SMA becomes an upward trend;If the day before the 20th is a sharp rise, the latest SMA becomes a downward trend，it showing the opposite trend Recommended to use the daily trend. Good Luck 移動平均線是根據歷史價格計算，屬於落後指標 但是移動平均線仍代表價格趨勢，因此我們可以通過移動平均線進行預測。 20天均線的每個點都是基於過去20天的收盤價計算的。 因此，我們可以知道前20天的收盤價直接影響SMA的最新點。 最近20天是計算中包括的價格，它直接影響最新點的趨勢。 例如，如果20日之前的一天是急劇下跌，則最新的SMA成為上升趨勢；如果20日之前的一天是急劇上漲，則最新的SMA成為下降趨勢，呈現相反的趨勢。 參考老王對SMA扣抵值的簡易版應用 使用20MA的扣抵蹺蹺板來判斷今日可能是UP或DOWN 建議使用日線 祝好運
Индикатор Pine Script®
от wsk719
6
Multi-TF Trend Table (Configurable)1) What this tool does (in one minute) A compact, multi‑timeframe dashboard that stacks eight timeframes and tells you: Trend (fast MA vs slow MA) Where price sits relative to those MAs How far price is from the fast MA in ATR terms MA slope (rising, falling, flat) Stochastic %K (with overbought/oversold heat) MACD momentum (up or down) A single score (0%–100%) per timeframe Alignment tick when trend, structure, slope and momentum all agree Use it to: Frame bias top‑down (M→W→D→…→15m) Time entries on your execution timeframe when the higher‑TF stack is aligned Avoid counter‑trend traps when the table is mixed 2) Table anatomy (each column explained) The table renders 9 columns × 8 rows (one row per timeframe label you define). TF — The label you chose for that row (e.g., Month, Week, 4H). Cosmetic; helps you read the stack. Trend — Arrow from fast MA vs slow MA: ↑ if fastMA > slowMA (up‑trend), ↓ otherwise (down‑trend). Cell is green for up, red for down. Price Pos — One‑character structure cue: 🔼 if price is above both fast and slow MAs (bullish structure) 🔽 if price is below both (bearish structure) – otherwise (between MAs / mixed) MA Dist — Distance of price from the fast MA measured in ATR multiples: XS < S < M < L < XL according to your thresholds (see §3.3). Useful for judging stretch/mean‑reversion risk and stop sizing. MA Slope — The fast MA one‑bar slope: ↑ if fastMA - fastMA > 0 ↓ if < 0 → if = 0 Stoch %K — Rounded %K value (default 14‑1‑3). Background highlights when it aligns with the trend: Green heat when trend up and %K ≤ oversold Red heat when trend down and %K ≥ overbought Tooltip shows K and D values precisely. Trend % — Composite score (0–100%), the dashboard’s confidence for that timeframe: +20 if trendUp (fast>slow) +20 if fast MA slope > 0 +20 if MACD up (signal definition in §2.8) +20 if price above fast MA +20 if price above slow MA Background colours: ≥80 lime (strong alignment) ≥60 green (good) ≥40 orange (mixed) <40 grey (weak/contrary) MACD — 🟢 if EMA(12)−EMA(26) > its EMA(9), else 🔴. It’s a simple “momentum up/down” proxy. Align — ✔ when everything is in gear for that trend direction: For up: trendUp and price above both MAs and slope>0 and MACD up For down: trendDown and price below both MAs and slope<0 and MACD down Tooltip spells this out. 3) Settings & how to tune them 3.1 Timeframes (TF1–TF8) Inputs: TF1..TF8 hold the resolution strings used by request.security(). Defaults: M, W, D, 720, 480, 240, 60, 15 with display labels Month, Week, Day, 12H, 8H, 4H, 1H, 15m. Tips Keep a top‑down funnel (e.g., Month→Week→Day→H4→H1→M15) so you can cascade bias into entries. If you scalp, consider D, 240, 120, 60, 30, 15, 5, 1. Crypto weekends: consider 2D in place of W to reflect continuous trading. 3.2 Moving Average (MA) group Type: EMA, SMA, WMA, RMA, HMA. Changes both fast & slow MA computations everywhere. Fast Length: default 20. Shorten for snappier trend/slope & tighter “price above fast” signals. Slow Length: default 200. Controls the structural trend and part of the score. When to change Swing FX/equities: EMA 20/200 is a solid baseline. Mean‑reversion style: consider SMA 20/100 so trend flips slower. Crypto/indices momentum: HMA 21 / EMA 200 will read slope more responsively. 3.3 ATR / Distance group ATR Length: default 14; longer makes distance less jumpy. XS/S/M/L thresholds: define the labels in column MA Dist. They are compared to |close − fastMA| / ATR. Defaults: XS 0.25×, S 0.75×, M 1.5×, L 2.5×; anything ≥L is XL. Usage Entries late in a move often occur at L/XL; consider waiting for a pullback unless you are trading breakouts. For stops, an initial SL around 0.75–1.5 ATR from fast MA often sits behind nearby noise; use your plan. 3.4 Stochastic group %K Length / Smoothing / %D Smoothing: defaults 14 / 1 / 3. Overbought / Oversold: defaults 70 / 30 (adjust to 80/20 for trendier assets). Heat logic (column Stoch %K): highlights when a pullback aligns with the dominant trend (oversold in an uptrend, overbought in a downtrend). 3.5 View Full Screen Table Mode: centers and enlarges the table (position.middle_center). Great for clean screenshots or multi‑monitor setups. 4) Signal logic (how each datapoint is computed) Per‑TF data (via a single request.security()): fastMA, slowMA → based on your MA Type and lengths %K, %D → Stoch(High,Low,Close,kLen) smoothed by kSmooth, then %D smoothed by dSmooth close, ATR(atrLen) → for structure and distance MACD up → (EMA12−EMA26) > EMA9(EMA12−EMA26) fastMA_prev → yesterday/previous‑bar fast MA for slope TrendUp → fastMA > slowMA Price Position → compares close to both MAs MA Distance Label → thresholds on abs(close − fastMA)/ATR Slope → fastMA − fastMA Score (0–100) → sum of the five 20‑point checks listed in §2.7 Align tick → conjunction of trend, price vs both MAs, slope and MACD (see §2.9) Important behaviour HTF values are sampled at the execution chart’s bar close using Pine v6 defaults (no lookahead). So the daily row updates only when a daily bar actually closes. 5) How to trade with it (playbooks) The table is a framework. Entries/exits still follow your plan (e.g., S/D zones, price action, risk rules). Use the table to know when to be aggressive vs patient. Playbook A — Trend continuation (pullback entry) Look for Align ✔ on your anchor TFs (e.g., Week+Day both ≥80 and green, Trend ↑, MACD 🟢). On your execution TF (e.g., H1/H4), wait for Stoch heat with the trend (oversold in uptrend or overbought in downtrend), and MA Dist not at XL. Enter on your trigger (break of pullback high/low, engulfing, retest of fast MA, or S/D first touch per your plan). Risk: consider ATR‑based SL beyond structure; size so 0.25–0.5% account risk fits your rules. Trail or scale at M/L distances or when score deteriorates (<60). Playbook B — Breakout with confirmation Mixed stack turns into broad green: Trend % jumps to ≥80 on Day and H4; MACD flips 🟢. Price Pos shows 🔼 across H4/H1 (above both MAs). Slope arrows ↑. Enter on the first clean base‑break with volume/impulse; avoid if MA Dist already XL. Playbook C — Mean‑reversion fade (advanced) Use only when higher TFs are not aligned and the row you trade shows XL distance against the higher‑TF context. Take quick targets back to fast MA. Lower win‑rate, faster management. Playbook D — Top‑down filter for Supply/Demand strategy Trade first retests only in the direction where anchor TFs (Week/Day) have Align ✔ and Trend % ≥60. Skip counter‑trend zones when the stack is red/green against you. 6) Reading examples Strong bullish stack Week: ↑, 🔼, S/M, slope ↑, %K=32 (green heat), Trend 100%, MACD 🟢, Align ✔ Day: ↑, 🔼, XS/S, slope ↑, %K=45, Trend 80%, MACD 🟢, Align ✔ Action: Look for H4/H1 pullback into demand or fast MA; buy continuation. Late‑stage thrust H1: ↑, 🔼, XL, slope ↑, %K=88 Day/H4: only 60–80% Action: Likely overextended on H1; wait for mean reversion or multi‑TF alignment before chasing. Bearish transition Day flips from 60%→40%, Trend ↓, MACD turns 🔴, Price Pos “–” (between MAs) Action: Stand aside for longs; watch for lower‑high + Align ✔ on H4/H1 to join shorts. 7) Practical tips & pitfalls HTF closure: Don’t assume a daily row changed mid‑day; it won’t settle until the daily bar closes. For intraday anticipation, watch H4/H1 rows. MA Type consistency: Changing MA Type changes slope/structure everywhere. If you compare screenshots, keep the same type. ATR thresholds: Calibrate per asset class. FX may suit defaults; indices/crypto might need wider S/M/L. Score ≠ signal: 100% does not mean “must buy now.” It means the environment is favourable. Still execute your trigger. Mixed stacks: When rows disagree, reduce size or skip. The tool is telling you the market lacks consensus. 8) Customisation ideas Timeframe presets: Save layouts (e.g., Swing, Intraday, Scalper) as indicator templates in TradingView. Alternative momentum: Replace the MACD condition with RSI(>50/<50) if desired (would require code edit). Alerts: You can add alert conditions for (a) Align ✔ changes, (b) Trend % crossing 60/80, (c) Stoch heat events. (Not shipped in this script, but easy to add.) 9) FAQ Q: Why do I sometimes see a dash in Price Pos? A: Price is between fast and slow MAs. Structure is mixed; seek clarity before acting. Q: Does it repaint? A: No, higher‑TF values update on the close of their own bars (standard request.security behaviour without lookahead). Intra‑bar they can fluctuate; decisions should be made at your bar close per your plan. Q: Which columns matter most? A: For trend‑following: Trend, Price Pos, Slope, MACD, then Stoch heat for entries. The Score summarises, and Align enforces discipline. Q: How do I integrate with ATR‑based risk? A: Use the MA Dist label to avoid chasing at extremes and to size stops in ATR terms (e.g., SL behind structure at ~1–1.5 ATR).
Индикатор Pine Script®
от TregTrader
Chart-Only Scanner — Pro Table v2.5.1Chart-Only Scanner — Pro Table v2.5 User Manual (Pine Script v6) What this tool does (in one line) A compact, on-chart table that scores the current chart symbol (or an optional override) using momentum, volume, trend, volatility, and pattern checks—so you can quickly decide UP, DOWN, or WAIT. Quick Start (90 seconds) Add the indicator to any chart and timeframe (1m…1M). Leave “Override chart symbol” = OFF to auto-use the chart’s symbol. Choose your layout: Row (wide horizontal strip), or Grid (title + labeled cells). Pick a size preset (Micro, Small, Medium, Large, Mobile). Optional: turn on “Use Higher TF (EMA 20/50)” and set HTF Multiplier (e.g., 4 ⇒ if chart is 15m, HTF is 60m). Watch the table: DIR (↑/↓/→), ROC%, MOM, VOL, EMA stack, HTF, REV, SCORE, ACT. Add an alert if you want: the script fires when |SCORE| ≥ Action threshold. What to expect A small table appears on the chart corner you choose, updating each bar (or only at bar close if you keep default smart-update). The ACT cell shows 🔥 (strong), 👀 (medium), or ⏳ (weak). Panels & Settings (every option explained) Core Momentum Period: Lookback for rate-of-change (ROC%). Shorter = more reactive; longer = smoother. ROC% Threshold: Minimum absolute ROC% to call direction UP (↑) or DOWN (↓); otherwise →. Require Volume Confirmation: If ON and VOL ≤ 1.0, the SCORE is forced to 0 (prevents low-volume false positives). Override chart symbol + Custom symbol: By default, the indicator uses the chart’s symbol. Turn this ON to lock to a specific ticker (e.g., a perpetual). Higher TF Use Higher TF (EMA 20/50): Compares EMA20 vs EMA50 on a higher timeframe. HTF Multiplier: Higher TF = (chart TF × multiplier). Example: on 3H chart with multiplier 2 ⇒ HTF = 6H. Volatility & Oscillators ATR Length: Used to show ATR% (ATR relative to price). RSI Length: Standard RSI; colors: green ≤30 (oversold), red ≥70 (overbought). Stoch %K Length: With %D = SMA(%K, 3). MACD Fast/Slow/Signal: Standard MACD values; we display Line, Signal, Histogram (L/S/H). ADX Length (Wilder): Wilder’s smoothing (internal derivation); also shows +DI / −DI if you enable the ADX column. EMAs / Trend EMA Fast/Mid/Slow: We compute EMA(20/50/200) by default (editable). EMA Stack: Bull if Fast > Mid > Slow; Bear if Fast < Mid < Slow; Flat otherwise. Benchmark (optional, OFF by default) Show Relative Strength vs Benchmark: Displays RS% = ROC(symbol) − ROC(benchmark) over the Momentum Period. Benchmark Symbol: Ticker used for comparison (e.g., BTCUSDT as a market proxy). Columns (show/hide) Toggle which fields appear in the table. Hiding unused fields keeps the layout clean (especially on mobile). Display Layout Mode: Row = a single two-row strip; each column is a metric. Grid = a title row plus labeled pairs (label/value) arranged in rows. Size Preset: Micro, Small, Medium, Large, Mobile change text size and the grid density. Table Corner: Where the panel sits (e.g., Top Right). Opaque Table Background: ON = dark card; OFF = transparent(ish). Update Every Bar: ON = update intra-bar; OFF = smart update (last bar / real-time / confirmed history). Action threshold (|score|): The cutoff for 🔥 and alert firing (default 70). How to read each field CHART: The active symbol name (or your custom override). DIR: ↑ (ROC% > threshold), ↓ (ROC% < −threshold), → otherwise. ROC%: Rate of change over Momentum Period. Formula: (Close − Close ) / Close × 100. MOM: A scaled momentum score: min(100, |ROC%| × 10). VOL: Volume ratio vs 20-bar SMA: Volume / SMA(Volume,20). 1.5 highlights as yellow (significant participation). ATR%: (ATR / Close) × 100 (volatility relative to price). RSI: Colored for extremes: ≤30 green, ≥70 red. Stoch K/D: %K and %D numbers. MACD L/S/H: Line, Signal, Histogram. Histogram color reflects sign (green > 0, red < 0). ADX, +DI, −DI: Trend strength and directional components (Wilder). ADX ≥ 25 is highlighted. EMA 20/50/200: Current EMA values (editable lengths). STACK: Bull/Bear/Flat as defined above. VWAP%: (Close − VWAP) / Close × 100 (premium/discount to VWAP). HTF: ▲ if HTF EMA20 > EMA50; ▼ if <; · if flat/off. RS%: Symbol’s ROC% − Benchmark ROC% (positive = outperforming). REV (reversal): 🟢 Eng/Pin = bullish engulfing or bullish pin detected, 🔴 Eng/Pin = bearish engulfing or bearish pin, · = none. SCORE (absolute shown as a number; sign shown via DIR and ACT): Components: base = MOM × 0.4 volBonus = VOL > 1.5 ? 20 : VOL × 13.33 htfBonus = use_mtf ? (HTF == DIR ? 30 : HTF == 0 ? 15 : 0) : 0 trendBonus = (STACK == DIR) ? 10 : 0 macdBonus = 0 (placeholder for future versions) scoreRaw = base + volBonus + htfBonus + trendBonus + macdBonus SCORE = DIR ≥ 0 ? scoreRaw : −scoreRaw If Require Volume Confirmation and VOL ≤ 1.0 ⇒ SCORE = 0. ACT: 🔥 if |SCORE| ≥ threshold 👀 if 50 < |SCORE| < threshold ⏳ otherwise Practical examples Strong long (trend + participation) DIR = ↑, ROC% = +3.2, MOM ≈ 32, VOL = 1.9, STACK = Bull, HTF = ▲, REV = 🟢 SCORE: base(12.8) + volBonus(20) + htfBonus(30) + trend(10) ≈ 73 → ACT = 🔥 Action idea: look for longs on pullbacks; confirm risk with ATR%. Weak long (no volume) DIR = ↑, ROC% = +1.0, but VOL = 0.8 and Require Volume Confirmation = ON SCORE forced to 0 → ACT = ⏳ Action: wait for volume > 1.0 or turn off confirmation knowingly. Bearish reversal warning DIR = →, REV = 🔴 (bearish engulfing), RSI = 68, HTF = ▼ SCORE may be mid-range; ACT = 👀 Action: watch for breakdown and rising VOL. Alerts (how to use) The script calls alert() whenever |SCORE| ≥ Action threshold. To receive pop-ups, sounds, or emails: click “⏰ Alerts” in TradingView, choose this indicator, and pick “Any alert() function call.” The alert message includes: symbol, |SCORE|, DIR. Layout, Size, and Corner tips Row is best when you want a compact status ribbon across the top. Grid is clearer on big screens or when you enable many columns. Size: Mobile = one pair per row (tall, readable) Micro/Small = dense; good for many fields Large = presentation/screenshots Corner: If the table overlaps price, change the corner or set Opaque Background = OFF. Repaint & timeframe behavior Default smart update prefers stability (last bar / live / confirmed history). For a stricter, “close-only” behavior (less repaint): turn Update Every Bar = OFF and avoid Heikin Ashi when you want raw market OHLC (HA modifies price inputs). HTF logic is derived from a clean, integer multiple of your chart timeframe (via multiplier). It works with 3H/4H and any TF. Performance notes The script analyzes one symbol (chart or override) with multiple metrics using efficient tuple requests. If you later want a multi-symbol grid, do it with pages (10–15 per page + rotate) to stay within platform limits (recommended future add-on). Troubleshooting No table visible Ensure the indicator is added and not hidden. Try toggling Opaque Background or switch Corner (it might be behind other drawings). Keep Columns count reasonable for the chosen Size. If you turned ON Override, verify the Custom symbol exists on your data provider. Numbers look different on HA candles Heikin Ashi modifies OHLC; switch to regular candles if you need raw price metrics. 3H/4H issues Use integer HTF Multiplier (e.g., 2, 4). The tool builds the correct string internally; no manual timeframe strings needed. Power user tips Volume gating: keeping Require Volume Confirmation = ON filters most fake moves; if you’re a scalper, reduce strictness or turn it off. Action threshold: 60–80 is typical. Higher = fewer but stronger signals. Benchmark RS%: great for spotting leaders/laggards; positive RS% = outperformance vs benchmark. Change policy & safety This version doesn’t alter your historical logic you tested (no radical changes). Any future “radical” change (score weights, HTF logic, UI hiding data) will ship with a toggle and an Impact Statement so you can keep old behavior if you prefer. Glossary (quick) ROC%: Percent change over N bars. MOM: Scaled momentum (0–100). VOL ratio: Volume vs 20-bar average. ATR%: ATR as % of price. ADX/DI: Trend strength / direction components (Wilder). EMA stack: Relationship between EMAs (bullish/bearish/flat). VWAP%: Premium/discount to VWAP. RS%: Relative strength vs benchmark.
Индикатор Pine Script®
от humoudq8
Liquid Pulse Liquid Pulse by Dskyz (DAFE) Trading Systems Liquid Pulse is a trading algo built by Dskyz (DAFE) Trading Systems for futures markets like NQ1!, designed to snag high-probability trades with tight risk control. it fuses a confluence system—VWAP, MACD, ADX, volume, and liquidity sweeps—with a trade scoring setup, daily limits, and VIX pauses to dodge wild volatility. visuals include simple signals, VWAP bands, and a dashboard with stats. Core Components for Liquid Pulse Volume Sensitivity (volumeSensitivity) controls how much volume spikes matter for entries. options: 'Low', 'Medium', 'High' default: 'High' (catches small spikes, good for active markets) tweak it: 'Low' for calm markets, 'High' for chaos. MACD Speed (macdSpeed) sets the MACD’s pace for momentum. options: 'Fast', 'Medium', 'Slow' default: 'Medium' (solid balance) tweak it: 'Fast' for scalping, 'Slow' for swings. Daily Trade Limit (dailyTradeLimit) caps trades per day to keep risk in check. range: 1 to 30 default: 20 tweak it: 5-10 for safety, 20-30 for action. Number of Contracts (numContracts) sets position size. range: 1 to 20 default: 4 tweak it: up for big accounts, down for small. VIX Pause Level (vixPauseLevel) stops trading if VIX gets too hot. range: 10 to 80 default: 39.0 tweak it: 30 to avoid volatility, 50 to ride it. Min Confluence Conditions (minConditions) sets how many signals must align. range: 1 to 5 default: 2 tweak it: 3-4 for strict, 1-2 for more trades. Min Trade Score (Longs/Shorts) (minTradeScoreLongs/minTradeScoreShorts) filters trade quality. longs range: 0 to 100 default: 73 shorts range: 0 to 100 default: 75 tweak it: 80-90 for quality, 60-70 for volume. Liquidity Sweep Strength (sweepStrength) gauges breakouts. range: 0.1 to 1.0 default: 0.5 tweak it: 0.7-1.0 for strong moves, 0.3-0.5 for small. ADX Trend Threshold (adxTrendThreshold) confirms trends. range: 10 to 100 default: 41 tweak it: 40-50 for trends, 30-35 for weak ones. ADX Chop Threshold (adxChopThreshold) avoids chop. range: 5 to 50 default: 20 tweak it: 15-20 to dodge chop, 25-30 to loosen. VWAP Timeframe (vwapTimeframe) sets VWAP period. options: '15', '30', '60', '240', 'D' default: '60' (1-hour) tweak it: 60 for day, 240 for swing, D for long. Take Profit Ticks (Longs/Shorts) (takeProfitTicksLongs/takeProfitTicksShorts) sets profit targets. longs range: 5 to 100 default: 25.0 shorts range: 5 to 100 default: 20.0 tweak it: 30-50 for trends, 10-20 for chop. Max Profit Ticks (maxProfitTicks) caps max gain. range: 10 to 200 default: 60.0 tweak it: 80-100 for big moves, 40-60 for tight. Min Profit Ticks to Trail (minProfitTicksTrail) triggers trailing. range: 1 to 50 default: 7.0 tweak it: 10-15 for big gains, 5-7 for quick locks. Trailing Stop Ticks (trailTicks) sets trail distance. range: 1 to 50 default: 5.0 tweak it: 8-10 for room, 3-5 for fast locks. Trailing Offset Ticks (trailOffsetTicks) sets trail offset. range: 1 to 20 default: 2.0 tweak it: 1-2 for tight, 5-10 for loose. ATR Period (atrPeriod) measures volatility. range: 5 to 50 default: 9 tweak it: 14-20 for smooth, 5-9 for reactive. Hardcoded Settings volLookback: 30 ('Low'), 20 ('Medium'), 11 ('High') volThreshold: 1.5 ('Low'), 1.8 ('Medium'), 2 ('High') swingLen: 5 Execution Logic Overview trades trigger when confluence conditions align, entering long or short with set position sizes. exits use dynamic take-profits, trailing stops after a profit threshold, hard stops via ATR, and a time stop after 100 bars. Features Multi-Signal Confluence: needs VWAP, MACD, volume, sweeps, and ADX to line up. Risk Control: ATR-based stops (capped 15 ticks), take-profits (scaled by volatility), and trails. Market Filters: VIX pause, ADX trend/chop checks, volatility gates. Dashboard: shows scores, VIX, ADX, P/L, win %, streak. Visuals Simple signals (green up triangles for longs, red down for shorts) and VWAP bands with glow. info table (bottom right) with MACD momentum. dashboard (top right) with stats. Chart and Backtest: NQ1! futures, 5-minute chart. works best in trending, volatile conditions. tweak inputs for other markets—test thoroughly. Backtesting: NQ1! Frame: Jan 19, 2025, 09:00 — May 02, 2025, 16:00 Slippage: 3 Commission: $4.60 Fee Typical Range (per side, per contract) CME Exchange $1.14 – $1.20 Clearing $0.10 – $0.30 NFA Regulatory $0.02 Firm/Broker Commis. $0.25 – $0.80 (retail prop) TOTAL $1.60 – $2.30 per side Round Turn: (enter+exit) = $3.20 – $4.60 per contract Disclaimer this is for education only. past results don’t predict future wins. trading’s risky—only use money you can lose. backtest and validate before going live. (expect moderators to nitpick some random chart symbol rule—i’ll fix and repost if they pull it.) About the Author Dskyz (DAFE) Trading Systems crafts killer trading algos. Liquid Pulse is pure research and grit, built for smart, bold trading. Use it with discipline. Use it with clarity. Trade smarter. I’ll keep dropping badass strategies ‘til i build a brand or someone signs me up. 2025 Created by Dskyz, powered by DAFE Trading Systems. Trade smart, trade bold.
Стратегия Pine Script®
от DskyzInvestments
1
Dskyz (DAFE) Adaptive Regime - Quant Machine ProDskyz (DAFE) Adaptive Regime - Quant Machine Pro: Buckle up for the Dskyz (DAFE) Adaptive Regime - Quant Machine Pro, is a strategy that’s your ultimate edge for conquering futures markets like ES, MES, NQ, and MNQ. This isn’t just another script—it’s a quant-grade powerhouse, crafted with precision to adapt to market regimes, deliver multi-factor signals, and protect your capital with futures-tuned risk management. With its shimmering DAFE visuals, dual dashboards, and glowing watermark, it turns your charts into a cyberpunk command center, making trading as thrilling as it is profitable. Unlike generic scripts clogging up the space, the Adaptive Regime is a DAFE original, built from the ground up to tackle the chaos of futures trading. It identifies market regimes (Trending, Range, Volatile, Quiet) using ADX, Bollinger Bands, and HTF indicators, then fires trades based on a weighted scoring system that blends candlestick patterns, RSI, MACD, and more. Add in dynamic stops, trailing exits, and a 5% drawdown circuit breaker, and you’ve got a system that’s as safe as it is aggressive. Whether you’re a newbie or a prop desk pro, this strat’s your ticket to outsmarting the markets. Let’s break down every detail and see why it’s a must-have. Why Traders Need This Strategy Futures markets are a gauntlet—fast moves, volatility spikes (like the April 28, 2025 NQ 1k-point drop), and institutional traps that punish the unprepared. Meanwhile, platforms are flooded with low-effort scripts that recycle old ideas with zero innovation. The Adaptive Regime stands tall, offering: Adaptive Intelligence: Detects market regimes (Trending, Range, Volatile, Quiet) to optimize signals, unlike one-size-fits-all scripts. Multi-Factor Precision: Combines candlestick patterns, MA trends, RSI, MACD, volume, and HTF confirmation for high-probability trades. Futures-Optimized Risk: Calculates position sizes based on $ risk (default: $300), with ATR or fixed stops/TPs tailored for ES/MES. Bulletproof Safety: 5% daily drawdown circuit breaker and trailing stops keep your account intact, even in chaos. DAFE Visual Mastery: Pulsing Bollinger Band fills, dynamic SL/TP lines, and dual dashboards (metrics + position) make signals crystal-clear and charts a work of art. Original Craftsmanship: A DAFE creation, built with community passion, not a rehashed clone of generic code. Traders need this because it’s a complete, adaptive system that blends quant smarts, user-friendly design, and DAFE flair. It’s your edge to trade with confidence, cut through market noise, and leave the copycats in the dust. Strategy Components 1. Market Regime Detection The strategy’s brain is its ability to classify market conditions into five regimes, ensuring signals match the environment. How It Works: Trending (Regime 1): ADX > 20, fast/slow EMA spread > 0.3x ATR, HTF RSI > 50 or MACD bullish (htf_trend_bull/bear). Range (Regime 2): ADX < 25, price range < 3% of close, no HTF trend. Volatile (Regime 3): BB width > 1.5x avg, ATR > 1.2x avg, HTF RSI overbought/oversold. Quiet (Regime 4): BB width < 0.8x avg, ATR < 0.9x avg. Other (Regime 5): Default for unclear conditions. Indicators: ADX (14), BB width (20), ATR (14, 50-bar SMA), HTF RSI (14, daily default), HTF MACD (12,26,9). Why It’s Brilliant: Regime detection adapts signals to market context, boosting win rates in trending or volatile conditions. HTF RSI/MACD add a big-picture filter, rare in basic scripts. Visualized via gradient background (green for Trending, orange for Range, red for Volatile, gray for Quiet, navy for Other). 2. Multi-Factor Signal Scoring Entries are driven by a weighted scoring system that combines candlestick patterns, trend, momentum, and volume for robust signals. Candlestick Patterns: Bullish: Engulfing (0.5), hammer (0.4 in Range, 0.2 else), morning star (0.2), piercing (0.2), double bottom (0.3 in Volatile, 0.15 else). Must be near support (low ≤ 1.01x 20-bar low) with volume spike (>1.5x 20-bar avg). Bearish: Engulfing (0.5), shooting star (0.4 in Range, 0.2 else), evening star (0.2), dark cloud (0.2), double top (0.3 in Volatile, 0.15 else). Must be near resistance (high ≥ 0.99x 20-bar high) with volume spike. Logic: Patterns are weighted higher in specific regimes (e.g., hammer in Range, double bottom in Volatile). Additional Factors: Trend: Fast EMA (20) > slow EMA (50) + 0.5x ATR (trend_bull, +0.2); opposite for trend_bear. RSI: RSI (14) < 30 (rsi_bull, +0.15); > 70 (rsi_bear, +0.15). MACD: MACD line > signal (12,26,9, macd_bull, +0.15); opposite for macd_bear. Volume: ATR > 1.2x 50-bar avg (vol_expansion, +0.1). HTF Confirmation: HTF RSI < 70 and MACD bullish (htf_bull_confirm, +0.2); RSI > 30 and MACD bearish (htf_bear_confirm, +0.2). Scoring: bull_score = sum of bullish factors; bear_score = sum of bearish. Entry requires score ≥ 1.0. Example: Bullish engulfing (0.5) + trend_bull (0.2) + rsi_bull (0.15) + htf_bull_confirm (0.2) = 1.05, triggers long. Why It’s Brilliant: Multi-factor scoring ensures signals are confirmed by multiple market dynamics, reducing false positives. Regime-specific weights make patterns more relevant (e.g., hammers shine in Range markets). HTF confirmation aligns with the big picture, a quant edge over simplistic scripts. 3. Futures-Tuned Risk Management The risk system is built for futures, calculating position sizes based on $ risk and offering flexible stops/TPs. Position Sizing: Logic: Risk per trade (default: $300) ÷ (stop distance in points * point value) = contracts, capped at max_contracts (default: 5). Point value = tick value (e.g., $12.5 for ES) * ticks per point (4) * contract multiplier (1 for ES, 0.1 for MES). Example: $300 risk, 8-point stop, ES ($50/point) → 0.75 contracts, rounded to 1. Impact: Precise sizing prevents over-leverage, critical for micro contracts like MES. Stops and Take-Profits: Fixed: Default stop = 8 points, TP = 16 points (2:1 reward/risk). ATR-Based: Stop = 1.5x ATR (default), TP = 3x ATR, enabled via use_atr_for_stops. Logic: Stops set at swing low/high ± stop distance; TPs at 2x stop distance from entry. Impact: ATR stops adapt to volatility, while fixed stops suit stable markets. Trailing Stops: Logic: Activates at 50% of TP distance. Trails at close ± 1.5x ATR (atr_multiplier). Longs: max(trail_stop_long, close - ATR * 1.5); shorts: min(trail_stop_short, close + ATR * 1.5). Impact: Locks in profits during trends, a game-changer in volatile sessions. Circuit Breaker: Logic: Pauses trading if daily drawdown > 5% (daily_drawdown = (max_equity - equity) / max_equity). Impact: Protects capital during black swan events (e.g., April 27, 2025 ES slippage). Why It’s Brilliant: Futures-specific inputs (tick value, multiplier) make it plug-and-play for ES/MES. Trailing stops and circuit breaker add pro-level safety, rare in off-the-shelf scripts. Flexible stops (ATR or fixed) suit different trading styles. 4. Trade Entry and Exit Logic Entries and exits are precise, driven by bull_score/bear_score and protected by drawdown checks. Entry Conditions: Long: bull_score ≥ 1.0, no position (position_size <= 0), drawdown < 5% (not pause_trading). Calculates contracts, sets stop at swing low - stop points, TP at 2x stop distance. Short: bear_score ≥ 1.0, position_size >= 0, drawdown < 5%. Stop at swing high + stop points, TP at 2x stop distance. Logic: Tracks entry_regime for PNL arrays. Closes opposite positions before entering. Exit Conditions: Stop-Loss/Take-Profit: Hits stop or TP (strategy.exit). Trailing Stop: Activates at 50% TP, trails by ATR * 1.5. Emergency Exit: Closes if price breaches stop (close < long_stop_price or close > short_stop_price). Reset: Clears stop/TP prices when flat (position_size = 0). Why It’s Brilliant: Score-based entries ensure multi-factor confirmation, filtering out weak signals. Trailing stops maximize profits in trends, unlike static exits in basic scripts. Emergency exits add an extra safety layer, critical for futures volatility. 5. DAFE Visuals The visuals are pure DAFE magic, blending function with cyberpunk flair to make signals intuitive and charts stunning. Shimmering Bollinger Band Fill: Display: BB basis (20, white), upper/lower (green/red, 45% transparent). Fill pulses (30–50 alpha) by regime, with glow (60–95 alpha) near bands (close ≥ 0.995x upper or ≤ 1.005x lower). Purpose: Highlights volatility and key levels with a futuristic glow. Visuals make complex regimes and signals instantly clear, even for newbies. Pulsing effects and regime-specific colors add a DAFE signature, setting it apart from generic scripts. BB glow emphasizes tradeable levels, enhancing decision-making. Chart Background (Regime Heatmap): Green — Trending Market: Strong, sustained price movement in one direction. The market is in a trend phase—momentum follows through. Orange — Range-Bound: Market is consolidating or moving sideways, with no clear up/down trend. Great for mean reversion setups. Red — Volatile Regime: High volatility, heightened risk, and larger/faster price swings—trade with caution. Gray — Quiet/Low Volatility: Market is calm and inactive, with small moves—often poor conditions for most strategies. Navy — Other/Neutral: Regime is uncertain or mixed; signals may be less reliable. Bollinger Bands Glow (Dynamic Fill): Neon Red Glow — Warning!: Price is near or breaking above the upper band; momentum is overstretched, watch for overbought conditions or reversals. Bright Green Glow — Opportunity!: Price is near or breaking below the lower band; market could be oversold, prime for bounce or reversal. Trend Green Fill — Trending Regime: Fills between bands with green when the market is trending, showing clear momentum. Gold/Yellow Fill — Range Regime: Fills with gold/aqua in range conditions, showing the market is sideways/oscillating. Magenta/Red Fill — Volatility Spike: Fills with vivid magenta/red during highly volatile regimes. Blue Fill — Neutral/Quiet: A soft blue glow for other or uncertain market states. Moving Averages: Display: Blue fast EMA (20), red slow EMA (50), 2px. Purpose: Shows trend direction, with trend_dir requiring ATR-scaled spread. Dynamic SL/TP Lines: Display: Pulsing colors (red SL, green TP for Trending; yellow/orange for Range, etc.), 3px, with pulse_alpha for shimmer. Purpose: Tracks stops/TPs in real-time, color-coded by regime. 6. Dual Dashboards Two dashboards deliver real-time insights, making the strat a quant command center. Bottom-Left Metrics Dashboard (2x13): Metrics: Mode (Active/Paused), trend (Bullish/Bearish/Neutral), ATR, ATR avg, volume spike (YES/NO), RSI (value + Oversold/Overbought/Neutral), HTF RSI, HTF trend, last signal (Buy/Sell/None), regime, bull score. Display: Black (29% transparent), purple title, color-coded (green for bullish, red for bearish). Purpose: Consolidates market context and signal strength. Top-Right Position Dashboard (2x7): Metrics: Regime, position side (Long/Short/None), position PNL ($), SL, TP, daily PNL ($). Display: Black (29% transparent), purple title, color-coded (lime for Long, red for Short). Purpose: Tracks live trades and profitability. Why It’s Brilliant: Dual dashboards cover market context and trade status, a rare feature. Color-coding and concise metrics guide beginners (e.g., green “Buy” = go). Real-time PNL and SL/TP visibility empower disciplined trading. 7. Performance Tracking Logic: Arrays (regime_pnl_long/short, regime_win/loss_long/short) track PNL and win/loss by regime (1–5). Updated on trade close (barstate.isconfirmed). Purpose: Prepares for future adaptive thresholds (e.g., adjust bull_score min based on regime performance). Why It’s Brilliant: Lays the groundwork for self-optimizing logic, a quant edge over static scripts. Key Features Regime-Adaptive: Optimizes signals for Trending, Range, Volatile, Quiet markets. Futures-Optimized: Precise sizing for ES/MES with tick-based risk inputs. Multi-Factor Signals: Candlestick patterns, RSI, MACD, and HTF confirmation for robust entries. Dynamic Exits: ATR/fixed stops, 2:1 TPs, and trailing stops maximize profits. Safe and Smart: 5% drawdown breaker and emergency exits protect capital. DAFE Visuals: Shimmering BB fill, pulsing SL/TP, and dual dashboards. Backtest-Ready: Fixed qty and tick calc for accurate historical testing. How to Use Add to Chart: Load on a 5min ES/MES chart in TradingView. Configure Inputs: Set instrument (ES/MES), tick value ($12.5/$1.25), multiplier (1/0.1), risk ($300 default). Enable ATR stops for volatility. Monitor Dashboards: Bottom-left for regime/signals, top-right for position/PNL. Backtest: Run in strategy tester to compare regimes. Live Trade: Connect to Tradovate or similar. Watch for slippage (e.g., April 27, 2025 ES issues). Replay Test: Try April 28, 2025 NQ drop to see regime shifts and stops. Disclaimer Trading futures involves significant risk of loss and is not suitable for all investors. Past performance does not guarantee future results. Backtest results may differ from live trading due to slippage, fees, or market conditions. Use this strategy at your own risk, and consult a financial advisor before trading. Dskyz (DAFE) Trading Systems is not responsible for any losses incurred. Backtesting: Frame: 2023-09-20 - 2025-04-29 Slippage: 3 Fee Typical Range (per side, per contract) CME Exchange $1.14 – $1.20 Clearing $0.10 – $0.30 NFA Regulatory $0.02 Firm/Broker Commis. $0.25 – $0.80 (retail prop) TOTAL $1.60 – $2.30 per side Round Turn: (enter+exit) = $3.20 – $4.60 per contract Final Notes The Dskyz (DAFE) Adaptive Regime - Quant Machine Pro is more than a strategy—it’s a revolution. Crafted with DAFE’s signature precision, it rises above generic scripts with adaptive regimes, quant-grade signals, and visuals that make trading a thrill. Whether you’re scalping MES or swinging ES, this system empowers you to navigate markets with confidence and style. Join the DAFE crew, light up your charts, and let’s dominate the futures game! (This publishing will most likely be taken down do to some miscellaneous rule about properly displaying charting symbols, or whatever. Once I've identified what part of the publishing they want to pick on, I'll adjust and repost.) Use it with discipline. Use it with clarity. Trade smarter. **I will continue to release incredible strategies and indicators until I turn this into a brand or until someone offers me a contract. Created by Dskyz, powered by DAFE Trading Systems. Trade smart, trade bold.
Стратегия Pine Script®
от DskyzInvestments