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CNTLibraryLibrary "CNTLibrary" Custom Functions To Help Code In Pinescript V5 Coded By Christian Nataliano First Coded In 10/06/2023 Last Edited In 22/06/2023 Huge Shout Out To © ZenAndTheArtOfTrading and his ZenLibrary V5, Some Of The Custom Functions Were Heavily Inspired By Matt's Work & His Pine Script Mastery Course Another Shout Out To The TradingView's Team Library ta V5 //==================================================================================================================================================== // Custom Indicator Functions //==================================================================================================================================================== GetKAMA(KAMA_lenght, Fast_KAMA, Slow_KAMA)   Calculates An Adaptive Moving Average Based On Perry J Kaufman's Calculations   Parameters:      KAMA_lenght (int) : Is The KAMA Lenght      Fast_KAMA (int) : Is The KAMA's Fastes Moving Average      Slow_KAMA (int) : Is The KAMA's Slowest Moving Average   Returns: Float Of The KAMA's Current Calculations GetMovingAverage(Source, Lenght, Type)   Get Custom Moving Averages Values   Parameters:      Source (float) : Of The Moving Average, Defval = close      Lenght (simple int) : Of The Moving Average, Defval = 50      Type (string) : Of The Moving Average, Defval = Exponential Moving Average   Returns: The Moving Average Calculation Based On Its Given Source, Lenght & Calculation Type (Please Call Function On Global Scope) GetDecimals()   Calculates how many decimals are on the quote price of the current market © ZenAndTheArtOfTrading   Returns: The current decimal places on the market quote price Truncate(number, decimalPlaces)   Truncates (cuts) excess decimal places © ZenAndTheArtOfTrading   Parameters:      number (float)      decimalPlaces (simple float)   Returns: The given number truncated to the given decimalPlaces ToWhole(number)   Converts pips into whole numbers © ZenAndTheArtOfTrading   Parameters:      number (float)   Returns: The converted number ToPips(number)   Converts whole numbers back into pips © ZenAndTheArtOfTrading   Parameters:      number (float)   Returns: The converted number GetPctChange(value1, value2, lookback)   Gets the percentage change between 2 float values over a given lookback period © ZenAndTheArtOfTrading   Parameters:      value1 (float)      value2 (float)      lookback (int) BarsAboveMA(lookback, ma)   Counts how many candles are above the MA © ZenAndTheArtOfTrading   Parameters:      lookback (int)      ma (float)   Returns: The bar count of how many recent bars are above the MA BarsBelowMA(lookback, ma)   Counts how many candles are below the MA © ZenAndTheArtOfTrading   Parameters:      lookback (int)      ma (float)   Returns: The bar count of how many recent bars are below the EMA BarsCrossedMA(lookback, ma)   Counts how many times the EMA was crossed recently © ZenAndTheArtOfTrading   Parameters:      lookback (int)      ma (float)   Returns: The bar count of how many times price recently crossed the EMA GetPullbackBarCount(lookback, direction)   Counts how many green & red bars have printed recently (ie. pullback count) © ZenAndTheArtOfTrading   Parameters:      lookback (int)      direction (int)   Returns: The bar count of how many candles have retraced over the given lookback & direction GetSwingHigh(Lookback, SwingType)   Check If Price Has Made A Recent Swing High   Parameters:      Lookback (int) : Is For The Swing High Lookback Period, Defval = 7      SwingType (int) : Is For The Swing High Type Of Identification, Defval = 1   Returns: A Bool - True If Price Has Made A Recent Swing High GetSwingLow(Lookback, SwingType)   Check If Price Has Made A Recent Swing Low   Parameters:      Lookback (int) : Is For The Swing Low Lookback Period, Defval = 7      SwingType (int) : Is For The Swing Low Type Of Identification, Defval = 1   Returns: A Bool - True If Price Has Made A Recent Swing Low //==================================================================================================================================================== // Custom Risk Management Functions //==================================================================================================================================================== CalculateStopLossLevel(OrderType, Entry, StopLoss)   Calculate StopLoss Level   Parameters:      OrderType (int) : Is To Determine A Long / Short Position, Defval = 1      Entry (float) : Is The Entry Level Of The Order, Defval = na      StopLoss (float) : Is The Custom StopLoss Distance, Defval = 2x ATR Below Close   Returns: Float - The StopLoss Level In Actual Price As A CalculateStopLossDistance(OrderType, Entry, StopLoss)   Calculate StopLoss Distance In Pips   Parameters:      OrderType (int) : Is To Determine A Long / Short Position, Defval = 1      Entry (float) : Is The Entry Level Of The Order, NEED TO INPUT PARAM      StopLoss (float) : Level Based On Previous Calculation, NEED TO INPUT PARAM   Returns: Float - The StopLoss Value In Pips CalculateTakeProfitLevel(OrderType, Entry, StopLossDistance, RiskReward)   Calculate TakeProfit Level   Parameters:      OrderType (int) : Is To Determine A Long / Short Position, Defval = 1      Entry (float) : Is The Entry Level Of The Order, Defval = na      StopLossDistance (float)      RiskReward (float)   Returns: Float - The TakeProfit Level In Actual Price CalculateTakeProfitDistance(OrderType, Entry, TakeProfit)   Get TakeProfit Distance In Pips   Parameters:      OrderType (int) : Is To Determine A Long / Short Position, Defval = 1      Entry (float) : Is The Entry Level Of The Order, NEED TO INPUT PARAM      TakeProfit (float) : Level Based On Previous Calculation, NEED TO INPUT PARAM   Returns: Float - The TakeProfit Value In Pips CalculateConversionCurrency(AccountCurrency, SymbolCurrency, BaseCurrency)   Get The Conversion Currecny Between Current Account Currency & Current Pair's Quoted Currency (FOR FOREX ONLY)   Parameters:      AccountCurrency (simple string) : Is For The Account Currency Used      SymbolCurrency (simple string) : Is For The Current Symbol Currency (Front Symbol)      BaseCurrency (simple string) : Is For The Current Symbol Base Currency (Back Symbol)   Returns: Tuple Of A Bollean (Convert The Currency ?) And A String (Converted Currency) CalculateConversionRate(ConvertCurrency, ConversionRate)   Get The Conversion Rate Between Current Account Currency & Current Pair's Quoted Currency (FOR FOREX ONLY)   Parameters:      ConvertCurrency (bool) : Is To Check If The Current Symbol Needs To Be Converted Or Not      ConversionRate (float) : Is The Quoted Price Of The Conversion Currency (Input The request.security Function Here)   Returns: Float Price Of Conversion Rate (If In The Same Currency Than Return Value Will Be 1.0) LotSize(LotSizeSimple, Balance, Risk, SLDistance, ConversionRate)   Get Current Lot Size   Parameters:      LotSizeSimple (bool) : Is To Toggle Lot Sizing Calculation (Simple Is Good Enough For Stocks & Crypto, Whilst Complex Is For Forex)      Balance (float) : Is For The Current Account Balance To Calculate The Lot Sizing Based Off      Risk (float) : Is For The Current Risk Per Trade To Calculate The Lot Sizing Based Off      SLDistance (float) : Is The Current Position StopLoss Distance From Its Entry Price      ConversionRate (float) : Is The Currency Conversion Rate (Used For Complex Lot Sizing Only)   Returns: Float - Position Size In Units ToLots(Units)   Converts Units To Lots   Parameters:      Units (float) : Is For How Many Units Need To Be Converted Into Lots (Minimun 1000 Units)   Returns: Float - Position Size In Lots ToUnits(Lots)   Converts Lots To Units   Parameters:      Lots (float) : Is For How Many Lots Need To Be Converted Into Units (Minimun 0.01 Units)   Returns: Int - Position Size In Units ToLotsInUnits(Units)   Converts Units To Lots Than Back To Units   Parameters:      Units (float) : Is For How Many Units Need To Be Converted Into Lots (Minimun 1000 Units)   Returns: Float - Position Size In Lots That Were Rounded To Units ATRTrail(OrderType, SourceType, ATRPeriod, ATRMultiplyer, SwingLookback)   Calculate ATR Trailing Stop   Parameters:      OrderType (int) : Is To Determine A Long / Short Position, Defval = 1      SourceType (int) : Is To Determine Where To Calculate The ATR Trailing From, Defval = close      ATRPeriod (simple int) : Is To Change Its ATR Period, Defval = 20      ATRMultiplyer (float) : Is To Change Its ATR Trailing Distance, Defval = 1      SwingLookback (int) : Is To Change Its Swing HiLo Lookback (Only From Source Type 5), Defval = 7   Returns: Float - Number Of The Current ATR Trailing DangerZone(WinRate, AvgRRR, Filter)   Calculate Danger Zone Of A Given Strategy   Parameters:      WinRate (float) : Is The Strategy WinRate      AvgRRR (float) : Is The Strategy Avg RRR      Filter (float) : Is The Minimum Profit It Needs To Be Out Of BE Zone, Defval = 3   Returns: Int - Value, 1 If Out Of Danger Zone, 0 If BE, -1 If In Danger Zone IsQuestionableTrades(TradeTP, TradeSL)   Checks For Questionable Trades (Which Are Trades That Its TP & SL Level Got Hit At The Same Candle)   Parameters:      TradeTP (float) : Is The Trade In Question Take Profit Level      TradeSL (float) : Is The Trade In Question Stop Loss Level   Returns: Bool - True If The Last Trade Was A "Questionable Trade" //==================================================================================================================================================== // Custom Strategy Functions //==================================================================================================================================================== OpenLong(EntryID, LotSize, LimitPrice, StopPrice, Comment, CommentValue)   Open A Long Order Based On The Given Params   Parameters:      EntryID (string) : Is The Trade Entry ID, Defval = "Long"      LotSize (float) : Is The Lot Size Of The Trade, Defval = 1      LimitPrice (float) : Is The Limit Order Price To Set The Order At, Defval = Na / Market Order Execution      StopPrice (float) : Is The Stop Order Price To Set The Order At, Defval = Na / Market Order Execution      Comment (string) : Is The Order Comment, Defval = Long Entry Order      CommentValue (string) : Is For Custom Values In The Order Comment, Defval = Na   Returns: Void OpenShort(EntryID, LotSize, LimitPrice, StopPrice, Comment, CommentValue)   Open A Short Order Based On The Given Params   Parameters:      EntryID (string) : Is The Trade Entry ID, Defval = "Short"      LotSize (float) : Is The Lot Size Of The Trade, Defval = 1      LimitPrice (float) : Is The Limit Order Price To Set The Order At, Defval = Na / Market Order Execution      StopPrice (float) : Is The Stop Order Price To Set The Order At, Defval = Na / Market Order Execution      Comment (string) : Is The Order Comment, Defval = Short Entry Order      CommentValue (string) : Is For Custom Values In The Order Comment, Defval = Na   Returns: Void TP_SLExit(FromID, TPLevel, SLLevel, PercentageClose, Comment, CommentValue)   Exits Based On Predetermined TP & SL Levels   Parameters:      FromID (string) : Is The Trade ID That The TP & SL Levels Be Palced      TPLevel (float) : Is The Take Profit Level      SLLevel (float) : Is The StopLoss Level      PercentageClose (float) : Is The Amount To Close The Order At (In Percentage) Defval = 100      Comment (string) : Is The Order Comment, Defval = Exit Order      CommentValue (string) : Is For Custom Values In The Order Comment, Defval = Na   Returns: Void CloseLong(ExitID, PercentageClose, Comment, CommentValue, Instant)   Exits A Long Order Based On A Specified Condition   Parameters:      ExitID (string) : Is The Trade ID That Will Be Closed, Defval = "Long"      PercentageClose (float) : Is The Amount To Close The Order At (In Percentage) Defval = 100      Comment (string) : Is The Order Comment, Defval = Exit Order      CommentValue (string) : Is For Custom Values In The Order Comment, Defval = Na      Instant (bool) : Is For Exit Execution Type, Defval = false   Returns: Void CloseShort(ExitID, PercentageClose, Comment, CommentValue, Instant)   Exits A Short Order Based On A Specified Condition   Parameters:      ExitID (string) : Is The Trade ID That Will Be Closed, Defval = "Short"      PercentageClose (float) : Is The Amount To Close The Order At (In Percentage) Defval = 100      Comment (string) : Is The Order Comment, Defval = Exit Order      CommentValue (string) : Is For Custom Values In The Order Comment, Defval = Na      Instant (bool) : Is For Exit Execution Type, Defval = false   Returns: Void BrokerCheck(Broker)   Checks Traded Broker With Current Loaded Chart Broker   Parameters:      Broker (string) : Is The Current Broker That Is Traded   Returns: Bool - True If Current Traded Broker Is Same As Loaded Chart Broker OpenPC(LicenseID, OrderType, UseLimit, LimitPrice, SymbolPrefix, Symbol, SymbolSuffix, Risk, SL, TP, OrderComment, Spread)   Compiles Given Parameters Into An Alert String Format To Open Trades Using Pine Connector   Parameters:      LicenseID (string) : Is The Users PineConnector LicenseID      OrderType (int) : Is The Desired OrderType To Open      UseLimit (bool) : Is If We Want To Enter The Position At Exactly The Previous Closing Price      LimitPrice (float) : Is The Limit Price Of The Trade (Only For Pending Orders)      SymbolPrefix (string) : Is The Current Symbol Prefix (If Any)      Symbol (string) : Is The Traded Symbol      SymbolSuffix (string) : Is The Current Symbol Suffix (If Any)      Risk (float) : Is The Trade Risk Per Trade / Fixed Lot Sizing      SL (float) : Is The Trade SL In Price / In Pips      TP (float) : Is The Trade TP In Price / In Pips      OrderComment (string) : Is The Executed Trade Comment      Spread (float) : is The Maximum Spread For Execution   Returns: String - Pine Connector Order Syntax Alert Message ClosePC(LicenseID, OrderType, SymbolPrefix, Symbol, SymbolSuffix)   Compiles Given Parameters Into An Alert String Format To Close Trades Using Pine Connector   Parameters:      LicenseID (string) : Is The Users PineConnector LicenseID      OrderType (int) : Is The Desired OrderType To Close      SymbolPrefix (string) : Is The Current Symbol Prefix (If Any)      Symbol (string) : Is The Traded Symbol      SymbolSuffix (string) : Is The Current Symbol Suffix (If Any)   Returns: String - Pine Connector Order Syntax Alert Message //==================================================================================================================================================== // Custom Backtesting Calculation Functions //==================================================================================================================================================== CalculatePNL(EntryPrice, ExitPrice, LotSize, ConversionRate)   Calculates Trade PNL Based On Entry, Eixt & Lot Size   Parameters:      EntryPrice (float) : Is The Trade Entry      ExitPrice (float) : Is The Trade Exit      LotSize (float) : Is The Trade Sizing      ConversionRate (float) : Is The Currency Conversion Rate (Used For Complex Lot Sizing Only)   Returns: Float - The Current Trade PNL UpdateBalance(PrevBalance, PNL)   Updates The Previous Ginve Balance To The Next PNL   Parameters:      PrevBalance (float) : Is The Previous Balance To Be Updated      PNL (float) : Is The Current Trade PNL To Be Added   Returns: Float - The Current Updated PNL CalculateSlpComm(PNL, MaxRate)   Calculates Random Slippage & Commisions Fees Based On The Parameters   Parameters:      PNL (float) : Is The Current Trade PNL      MaxRate (float) : Is The Upper Limit (In Percentage) Of The Randomized Fee   Returns: Float - A Percentage Fee Of The Current Trade PNL UpdateDD(MaxBalance, Balance)   Calculates & Updates The DD Based On Its Given Parameters   Parameters:      MaxBalance (float) : Is The Maximum Balance Ever Recorded      Balance (float) : Is The Current Account Balance   Returns: Float - The Current Strategy DD CalculateWR(TotalTrades, LongID, ShortID)   Calculate The Total, Long & Short Trades Win Rate   Parameters:      TotalTrades (int) : Are The Current Total Trades That The Strategy Has Taken      LongID (string) : Is The Order ID Of The Long Trades Of The Strategy      ShortID (string) : Is The Order ID Of The Short Trades Of The Strategy   Returns: Tuple Of Long WR%, Short WR%, Total WR%, Total Winning Trades, Total Losing Trades, Total Long Trades & Total Short Trades CalculateAvgRRR(WinTrades, LossTrades)   Calculates The Overall Strategy Avg Risk Reward Ratio   Parameters:      WinTrades (int) : Are The Strategy Winning Trades      LossTrades (int) : Are The Strategy Losing Trades   Returns: Float - The Average RRR Values CAGR(StartTime, StartPrice, EndTime, EndPrice)   Calculates The CAGR Over The Given Time Period © TradingView   Parameters:      StartTime (int) : Is The Starting Time Of The Calculation      StartPrice (float) : Is The Starting Price Of The Calculation      EndTime (int) : Is The Ending Time Of The Calculation      EndPrice (float) : Is The Ending Price Of The Calculation   Returns: Float - The CAGR Values //==================================================================================================================================================== // Custom Plot Functions //==================================================================================================================================================== EditLabels(LabelID, X1, Y1, Text, Color, TextColor, EditCondition, DeleteCondition)   Edit / Delete Labels   Parameters:      LabelID (label) : Is The ID Of The Selected Label      X1 (int) : Is The X1 Coordinate IN BARINDEX Xloc      Y1 (float) : Is The Y1 Coordinate IN PRICE Yloc      Text (string) : Is The Text Than Wants To Be Written In The Label      Color (color) : Is The Color Value Change Of The Label Text      TextColor (color)      EditCondition (int) : Is The Edit Condition of The Line (Setting Location / Color)      DeleteCondition (bool) : Is The Delete Condition Of The Line If Ture Deletes The Prev Itteration Of The Line   Returns: Void EditLine(LineID, X1, Y1, X2, Y2, Color, EditCondition, DeleteCondition)   Edit / Delete Lines   Parameters:      LineID (line) : Is The ID Of The Selected Line      X1 (int) : Is The X1 Coordinate IN BARINDEX Xloc      Y1 (float) : Is The Y1 Coordinate IN PRICE Yloc      X2 (int) : Is The X2 Coordinate IN BARINDEX Xloc      Y2 (float) : Is The Y2 Coordinate IN PRICE Yloc      Color (color) : Is The Color Value Change Of The Line      EditCondition (int) : Is The Edit Condition of The Line (Setting Location / Color)      DeleteCondition (bool) : Is The Delete Condition Of The Line If Ture Deletes The Prev Itteration Of The Line   Returns: Void //==================================================================================================================================================== // Custom Display Functions (Using Tables) //==================================================================================================================================================== FillTable(TableID, Column, Row, Title, Value, BgColor, TextColor, ToolTip)   Filling The Selected Table With The Inputed Information   Parameters:      TableID (table) : Is The Table ID That Wants To Be Edited      Column (int) : Is The Current Column Of The Table That Wants To Be Edited      Row (int) : Is The Current Row Of The Table That Wants To Be Edited      Title (string) : Is The String Title Of The Current Cell Table      Value (string) : Is The String Value Of The Current Cell Table      BgColor (color) : Is The Selected Color For The Current Table      TextColor (color) : Is The Selected Color For The Current Table      ToolTip (string) : Is The ToolTip Of The Current Cell In The Table   Returns: Void DisplayBTResults(TableID, BgColor, TextColor, StartingBalance, Balance, DollarReturn, TotalPips, MaxDD)   Filling The Selected Table With The Inputed Information   Parameters:      TableID (table) : Is The Table ID That Wants To Be Edited      BgColor (color) : Is The Selected Color For The Current Table      TextColor (color) : Is The Selected Color For The Current Table      StartingBalance (float) : Is The Account Starting Balance      Balance (float)      DollarReturn (float) : Is The Account Dollar Reture      TotalPips (float) : Is The Total Pips Gained / loss      MaxDD (float) : Is The Maximum Drawdown Over The Backtesting Period   Returns: Void DisplayBTResultsV2(TableID, BgColor, TextColor, TotalWR, QTCount, LongWR, ShortWR, InitialCapital, CumProfit, CumFee, AvgRRR, MaxDD, CAGR, MeanDD)   Filling The Selected Table With The Inputed Information   Parameters:      TableID (table) : Is The Table ID That Wants To Be Edited      BgColor (color) : Is The Selected Color For The Current Table      TextColor (color) : Is The Selected Color For The Current Table      TotalWR (float) : Is The Strategy Total WR In %      QTCount (int) : Is The Strategy Questionable Trades Count      LongWR (float) : Is The Strategy Total WR In %      ShortWR (float) : Is The Strategy Total WR In %      InitialCapital (float) : Is The Strategy Initial Starting Capital      CumProfit (float) : Is The Strategy Ending Cumulative Profit      CumFee (float) : Is The Strategy Ending Cumulative Fee (Based On Randomized Fee Assumptions)      AvgRRR (float) : Is The Strategy Average Risk Reward Ratio      MaxDD (float) : Is The Strategy Maximum DrawDown In Its Backtesting Period      CAGR (float) : Is The Strategy Compounded Average GRowth In %      MeanDD (float) : Is The Strategy Mean / Average Drawdown In The Backtesting Period   Returns: Void //==================================================================================================================================================== // Custom Pattern Detection Functions //==================================================================================================================================================== BullFib(priceLow, priceHigh, fibRatio)   Calculates A Bullish Fibonacci Value (From Swing Low To High) © ZenAndTheArtOfTrading   Parameters:      priceLow (float)      priceHigh (float)      fibRatio (float)   Returns: The Fibonacci Value Of The Given Ratio Between The Two Price Points BearFib(priceLow, priceHigh, fibRatio)   Calculates A Bearish Fibonacci Value (From Swing High To Low) © ZenAndTheArtOfTrading   Parameters:      priceLow (float)      priceHigh (float)      fibRatio (float)   Returns: The Fibonacci Value Of The Given Ratio Between The Two Price Points GetBodySize()   Gets The Current Candle Body Size IN POINTS © ZenAndTheArtOfTrading   Returns: The Current Candle Body Size IN POINTS GetTopWickSize()   Gets The Current Candle Top Wick Size IN POINTS © ZenAndTheArtOfTrading   Returns: The Current Candle Top Wick Size IN POINTS GetBottomWickSize()   Gets The Current Candle Bottom Wick Size IN POINTS © ZenAndTheArtOfTrading   Returns: The Current Candle Bottom Wick Size IN POINTS GetBodyPercent()   Gets The Current Candle Body Size As A Percentage Of Its Entire Size Including Its Wicks © ZenAndTheArtOfTrading   Returns: The Current Candle Body Size IN PERCENTAGE GetTopWickPercent()   Gets The Current Top Wick Size As A Percentage Of Its Entire Body Size   Returns: Float - The Current Candle Top Wick Size IN PERCENTAGE GetBottomWickPercent()   Gets The Current Bottom Wick Size As A Percentage Of Its Entire Bodu Size   Returns: Float - The Current Candle Bottom Size IN PERCENTAGE BullishEC(Allowance, RejectionWickSize, EngulfWick, NearSwings, SwingLookBack)   Checks If The Current Bar Is A Bullish Engulfing Candle   Parameters:      Allowance (int) : To Give Flexibility Of Engulfing Pattern Detection In Markets That Have Micro Gaps, Defval = 0      RejectionWickSize (float) : To Filter Out long (Upper And Lower) Wick From The Bullsih Engulfing Pattern, Defval = na      EngulfWick (bool) : To Specify If We Want The Pattern To Also Engulf Its Upper & Lower Previous Wicks, Defval = false      NearSwings (bool) : To Specify If We Want The Pattern To Be Near A Recent Swing Low, Defval = true      SwingLookBack (int) : To Specify How Many Bars Back To Detect A Recent Swing Low, Defval = 10   Returns: Bool - True If The Current Bar Matches The Requirements of a Bullish Engulfing Candle BearishEC(Allowance, RejectionWickSize, EngulfWick, NearSwings, SwingLookBack)   Checks If The Current Bar Is A Bearish Engulfing Candle   Parameters:      Allowance (int) : To Give Flexibility Of Engulfing Pattern Detection In Markets That Have Micro Gaps, Defval = 0      RejectionWickSize (float) : To Filter Out long (Upper And Lower) Wick From The Bearish Engulfing Pattern, Defval = na      EngulfWick (bool) : To Specify If We Want The Pattern To Also Engulf Its Upper & Lower Previous Wicks, Defval = false      NearSwings (bool) : To Specify If We Want The Pattern To Be Near A Recent Swing High, Defval = true      SwingLookBack (int) : To Specify How Many Bars Back To Detect A Recent Swing High, Defval = 10   Returns: Bool - True If The Current Bar Matches The Requirements of a Bearish Engulfing Candle Hammer(Fib, ColorMatch, NearSwings, SwingLookBack, ATRFilterCheck, ATRPeriod)   Checks If The Current Bar Is A Hammer Candle   Parameters:      Fib (float) : To Specify Which Fibonacci Ratio To Use When Determining The Hammer Candle, Defval = 0.382 Ratio      ColorMatch (bool) : To Filter Only Bullish Closed Hammer Candle Pattern, Defval = false      NearSwings (bool) : To Specify If We Want The Doji To Be Near A Recent Swing Low, Defval = true      SwingLookBack (int) : To Specify How Many Bars Back To Detect A Recent Swing Low, Defval = 10      ATRFilterCheck (float) : To Filter Smaller Hammer Candles That Might Be Better Classified As A Doji Candle, Defval = 1      ATRPeriod (simple int) : To Change ATR Period Of The ATR Filter, Defval = 20   Returns: Bool - True If The Current Bar Matches The Requirements of a Hammer Candle Star(Fib, ColorMatch, NearSwings, SwingLookBack, ATRFilterCheck, ATRPeriod)   Checks If The Current Bar Is A Hammer Candle   Parameters:      Fib (float) : To Specify Which Fibonacci Ratio To Use When Determining The Hammer Candle, Defval = 0.382 Ratio      ColorMatch (bool) : To Filter Only Bullish Closed Hammer Candle Pattern, Defval = false      NearSwings (bool) : To Specify If We Want The Doji To Be Near A Recent Swing Low, Defval = true      SwingLookBack (int) : To Specify How Many Bars Back To Detect A Recent Swing Low, Defval = 10      ATRFilterCheck (float) : To Filter Smaller Hammer Candles That Might Be Better Classified As A Doji Candle, Defval = 1      ATRPeriod (simple int) : To Change ATR Period Of The ATR Filter, Defval = 20   Returns: Bool - True If The Current Bar Matches The Requirements of a Hammer Candle Doji(MaxWickSize, MaxBodySize, DojiType, NearSwings, SwingLookBack)   Checks If The Current Bar Is A Doji Candle   Parameters:      MaxWickSize (float) : To Specify The Maximum Lenght Of Its Upper & Lower Wick, Defval = 2      MaxBodySize (float) : To Specify The Maximum Lenght Of Its Candle Body IN PERCENT, Defval = 0.05      DojiType (int)      NearSwings (bool) : To Specify If We Want The Doji To Be Near A Recent Swing High / Low (Only In Dragonlyf / Gravestone Mode), Defval = true      SwingLookBack (int) : To Specify How Many Bars Back To Detect A Recent Swing High / Low (Only In Dragonlyf / Gravestone Mode), Defval = 10   Returns: Bool - True If The Current Bar Matches The Requirements of a Doji Candle BullishIB(Allowance, RejectionWickSize, EngulfWick, NearSwings, SwingLookBack)   Checks If The Current Bar Is A Bullish Harami Candle   Parameters:      Allowance (int) : To Give Flexibility Of Harami Pattern Detection In Markets That Have Micro Gaps, Defval = 0      RejectionWickSize (float) : To Filter Out long (Upper And Lower) Wick From The Bullsih Harami Pattern, Defval = na      EngulfWick (bool) : To Specify If We Want The Pattern To Also Engulf Its Upper & Lower Previous Wicks, Defval = false      NearSwings (bool) : To Specify If We Want The Pattern To Be Near A Recent Swing Low, Defval = true      SwingLookBack (int) : To Specify How Many Bars Back To Detect A Recent Swing Low, Defval = 10   Returns: Bool - True If The Current Bar Matches The Requirements of a Bullish Harami Candle BearishIB(Allowance, RejectionWickSize, EngulfWick, NearSwings, SwingLookBack)   Checks If The Current Bar Is A Bullish Harami Candle   Parameters:      Allowance (int) : To Give Flexibility Of Harami Pattern Detection In Markets That Have Micro Gaps, Defval = 0      RejectionWickSize (float) : To Filter Out long (Upper And Lower) Wick From The Bearish Harami Pattern, Defval = na      EngulfWick (bool) : To Specify If We Want The Pattern To Also Engulf Its Upper & Lower Previous Wicks, Defval = false      NearSwings (bool) : To Specify If We Want The Pattern To Be Near A Recent Swing High, Defval = true      SwingLookBack (int) : To Specify How Many Bars Back To Detect A Recent Swing High, Defval = 10   Returns: Bool - True If The Current Bar Matches The Requirements of a Bearish Harami Candle //==================================================================================================================================================== // Custom Time Functions //==================================================================================================================================================== BarInSession(sess, useFilter)   Determines if the current price bar falls inside the specified session © ZenAndTheArtOfTrading   Parameters:      sess (simple string)      useFilter (bool)   Returns: A boolean - true if the current bar falls within the given time session BarOutSession(sess, useFilter)   Determines if the current price bar falls outside the specified session © ZenAndTheArtOfTrading   Parameters:      sess (simple string)      useFilter (bool)   Returns: A boolean - true if the current bar falls outside the given time session DateFilter(startTime, endTime)   Determines if this bar's time falls within date filter range © ZenAndTheArtOfTrading   Parameters:      startTime (int)      endTime (int)   Returns: A boolean - true if the current bar falls within the given dates DayFilter(monday, tuesday, wednesday, thursday, friday, saturday, sunday)   Checks if the current bar's day is in the list of given days to analyze © ZenAndTheArtOfTrading   Parameters:      monday (bool)      tuesday (bool)      wednesday (bool)      thursday (bool)      friday (bool)      saturday (bool)      sunday (bool)   Returns: A boolean - true if the current bar's day is one of the given days AUSSess()   Checks If The Current Australian Forex Session In Running   Returns: Bool - True If Currently The Australian Session Is Running ASIASess()   Checks If The Current Asian Forex Session In Running   Returns: Bool - True If Currently The Asian Session Is Running EURSess()   Checks If The Current European Forex Session In Running   Returns: Bool - True If Currently The European Session Is Running USSess()   Checks If The Current US Forex Session In Running   Returns: Bool - True If Currently The US Session Is Running UNIXToDate(Time, ConversionType, TimeZone)   Converts UNIX Time To Datetime   Parameters:      Time (int) : Is The UNIX Time Input      ConversionType (int) : Is The Datetime Output Format, Defval = DD-MM-YYYY      TimeZone (string) : Is To Convert The Outputed Datetime Into The Specified Time Zone, Defval = Exchange Time Zone   Returns: String - String Of Datetime
Perpustakaan Pine Script®
oleh CN_FX-999
TASC 2022.08 Trading The Fear Index█ OVERVIEW TASC's August 2022 edition of Traders' Tips includes an article by Markos Katsanos titled "Trading The Fear Index". This script implements a trading strategy called the “daily long/short trading system for ​volatility ETFs” presented in this article. █ CONCEPTS This long-term strategy aims to capitalize on stock market volatility by using exchange-traded funds (ETFs or ETNs) linked to the VIX index. The strategy rules (see below) are based on a combination of the movement of the ​Cboe VIX index, the readings of the stochastic oscillator applied to the SPY ​ETF relative to the ​​VIX, and a custom indicator presented in the article and called the correlation trend . Thus, they are not based on the price movement of the traded ​ETF itself, but rather on the movement of the ​VIX and of the S&P 500 index. This allows the strategy to capture most of the spikes in ​volatility while profiting from the long-term time decay of the traded ETFs. █ STRATEGY RULES Long rules Rising ​volatility: The ​VIX should rise by more than 50% in the last 6 days. Trend: The correlation trend of the ​VIX should be 0.8 or higher and also higher than yesterday's value. ​VIX-​SPY relative position: The 25-day and 10-day ​VIX ​stochastics should be above the 25-day and 10-day ​SPY ​stochastics respectively. In addition, the 10-day ​stochastic of the ​VIX should be above its yesterday's value. Long positions are closed if the 10-day ​stochastic of the ​SPY rises above the 10-day ​​stochastic of the ​VIX or falls below the yesterday's value. Short rules Declining ​volatility: The ​VIX should drop over 20% in the last 6 days and should be down during the last 3 days. ​VIX threshold: The ​VIX should spend less than 35% of time below 15. ​VIX-​SPY relative position: The 10-day ​VIX ​stochastic should be below the 10-day ​SPY ​stochastic. In addition, the 10-day ​SPY ​stochastic should be higher than the yesterday's value. Long positions are closed if the first two Long rules are triggered (Rising ​volatility and Trend). The script allows you to display the readings of the indicators used in the strategy rules in the form of oscillator time series (as in the preview chart) and/or in the form of a table.
Strategi Pine Script®
oleh PineCodersTASC
[francrypto® strategy] 4 EMAs, P.SAR & Vol.Prof. (by kv4coins)(ENG) This script consists of my own strategy for cryptocurrency (but can be adapted very well for stocks, forex, etc.) Is a combination of: - Four Exponentials Moving Average (EMA), configurables: by defect are 10, 21, 55 and 200 periods in yellow, aqua, orange and blue each of them - Parabolic SAR System (PSAR), configurable - Volume Profile (that has been developed by kv4coins - he has already authorized me to use it under the same OSS Licence Terms: MPL 2.0), configurable: with another default values and bilingual support for Spanish (SPA) How it works 1) It is always better to detect specifics candlesticks or patrons: doji , pinbar or inverted pinbar , engulfing bars , morning star or evening star , harami , twizzer bottom or top , etc. 2) The 10 and 21 periods EMA help to identify the short-term behavior 3) The 55 periods EMA can be used like a support or resistance in medium-term, as 200 periods EMA in very long-term 4) It will convenient search for a double cross (10 & 21) or a triple cross (10, 21 & 55) to determine the medium-term change Downtrend to UpTrend (or viceversa) 5) Confirm the change patron with the Parabolic SAR and then identify potencials purchases or sales 6) Use Volume profile to detect potential supports or resistances areas, in order to set stop limit/loss and take profit orders. Hope this helps! Cheers, FRANCRYPTO® –––––– 0 –––––– (ESP) Este script consiste en mi propia estrategia para criptomonedas (pero puede adaptarse muy bien para acciones, forex, etc.) Es la combinación de: 1) Cuatro Medias Móviles Exponenciales (EMA), configurables: por defecto son de 10, 21, 55 y 200 períodos en amarillo, turquesa, naranja y azul cada una de ellas 2) Sistema Parabolic SAR (PSAR), configurable 3) Perfil de Volumen (que fuera desarrollado por kv4coins - que ya me ha autorizado a su uso bajo las mismas condiciones de la Licencia OSS: MPL 2.0), configurable: con otros valores por defecto y soporte bilingüe para Español (SPA) Cómo funciona 1) Siempre va a resultar mejor detectar velas japonesas específicas o patrones: doji , martillos o martillos invertidos , velas envolventes , patrón amanecer o atardecer , harami , velas gemelas , etcétera 2) La EMA de 10 y 21 períodos ayudan a identificar el comportamiento de corto plazo 3) La EMA de 55 períodos puede ser usada como un soporte o resistencia de mediano plazo, como así también, la EMA de 200 períodos en el muy largo plazo 4) Será conveniente buscar un doble cruce (10 & 21) o un triple cruce (10, 21 & 55) para determinar un cambio de la tendencia de mediano plazo de bajista hacia alcista (o viceversa) 5) Confirmá el patrón de cambio con la Parabólica de SAR y entonces identificá potenciales compras o ventas 6) Usá el perfil de volumen para detectar las potenciales zonas de soporte o resistencia, principalmente para establecer ordenes stop limit/loss o take profit. ¡Espero que pueda serles de utilidad! Saludos, FRANCRYPTO®
Penunjuk Pine Script®
oleh francrypto_
42
John Carter Pivot Points This script is based on John Carter Mastering The Trade book. Pivot calculation is based on the previous day high, low, and close. What Are the Trading Rules for Pivot Buys on Trending Days? Sells are reversed. 1. Each day I update the appropriate pivot levels on the charts to reflect the previous day’s action. On Mondays, I also update the weekly pivots, and on the first trading day of a new month, I update the monthly pivots. 2. The first pivot play is done in conjunction with the gap, if there is one. If there is a gap down, then I buy a decline into the closest pivot level. If there isn’t a playable gap (more than 10 YM points or 1 ES point), then I will wait until 9:45 a.m. eastern to initiate the first play. 3. If the volume on the five-minute ES chart is more than 25,000 contracts, then I’ll wait for the markets to penetrate a pivot level and move up at least a quarter of the way to the next pivot level. Once this happens, I will then set up a bid to buy the first retracement back to the violated pivot level. 4. I enter my trades with limit orders only. I place orders “just in front of” the pivot. For the YM, I use 3 points; for the ES, 0.25 point; for the NQ, 0.50 point; for the TF, 0.20 point; and for individual stocks, 5 cents. For example, if I’m trading the YM and the pivot level is 10,000, then I would buy a decline to 10,003 and short a rally to 9997 .Sometimes the pivot will be an odd number, such as 1117.38 on the ES. In this case, I always round in the direction of the trade. So, if I’m bidding for a long, I will round 1117.38 to 1117.50, and my bid will be 1117.75. If I’m offering a short, I will round 1117.38 down to 1117.25 and place my offer at 1117.00. My stops and targets, then, would be “just in front of” these appropriate long and short levels. 5. Once filled, I place an order to close the first half at the next pivot level and the second half at the pivot level after that, using the same “just in front of” parameters. 6. I place a stop at 20 points for the YM, 2 points for the ES, 4 points for the NQ, and 1.50 points for the Russell. For stocks, I will use a stop based roughly on the price of the stock. If the stock is under $10 a share, I will use a stop of 20 cents. If it is between $10 and $20, I will use a stop of 30 cents; if it is between $20 and $30, I will use a stop of 40 cents, and so on, adding another 10 cents for each $10 increment in price. (A $75 stock would have an 80-cent stop, for example.) 7. If the first target is hit, I will then move up the stop to my entry-level pivot, minus the “just in front of” fractions discussed in rule 3. For example, if I get in a YM long at 10,003 and the pivot is at 10,000, then my new stop would be 9997 once the first target is hit. 8. If I am in a trade at the market close and neither my stop nor my target has been hit, I will close out my position “at the market” at 4:10 p.m. eastern for futures, and at 3:58 p.m. eastern for stocks. 9. I don’t initiate any new positions after 3:30 p.m. eastern, but I will manage existing positions into the close. 10. The markets rarely have a sustained move above R3 or below S3. If I trade to those levels, I will always fade the move. 11. After two losers in a row, I’m done with pivots for the day. What Are the Trading Rules for Pivot Buys on Choppy Days? Once again, sells are the same, just reversed. The rules for choppy days are identical except for the targets. On choppy days, I just focus on the YM and the ES. My first target is mechanical: 10 points for the YM and 1 point for the ES on half of my position. Once this is hit, I will trail up my stop in the same way I would for a trending trade. The second target becomes the “just in front of” level for the actual next pivot level
Penunjuk Pine Script®
oleh mohamadsm87
9
Universal Global SessionUniversal Global Session This Script combines the world sessions of: Stocks, Forex, Bitcoin Kill Zones, strategic points, all configurable, in a single Script, to capitalize the opening and closing times of global exchanges as investment assets, becoming an Universal Global Session . It is based on the great work of @oscarvs ( BITCOIN KILL ZONES v2 ) and the scripts of @ChrisMoody. Thank you Oscar and Chris for your excellent judgment and great work. At the end of this writing you can find all the internet references of the extensive documentation that I present here. To maximize your benefits in the use of this Script, I recommend that you read the entire document to create an objective and practical criterion. All the hours of the different exchanges are presented at GMT -6. In Market24hClock you can adjust it to your preferences. After a deep investigation I have been able to show that the different world sessions reveal underlying investment cycles, where it is possible to find sustained changes in the nominal behavior of the trend before the passage from one session to another and in the natural overlaps between the sessions. These underlying movements generally occur 15 minutes before the start, close or overlap of the session, when the session properly starts and also 15 minutes after respectively. Therefore, this script is designed to highlight these particular trending behaviors. Try it, discover your own conclusions and let me know in the notes, thank you. Foreign Exchange Market Hours It is the schedule by which currency market participants can buy, sell, trade and speculate on currencies all over the world. It is open 24 hours a day during working days and closes on weekends, thanks to the fact that operations are carried out through a network of information systems, instead of physical exchanges that close at a certain time. It opens Monday morning at 8 am local time in Sydney —Australia— (which is equivalent to Sunday night at 7 pm, in New York City —United States—, according to Eastern Standard Time), and It closes at 5pm local time in New York City (which is equivalent to 6am Saturday morning in Sydney). The Forex market is decentralized and driven by local sessions, where the hours of Forex trading are based on the opening range of each active country, becoming an efficient transfer mechanism for all participants. Four territories in particular stand out: Sydney, Tokyo, London and New York, where the highest volume of operations occurs when the sessions in London and New York overlap. Furthermore, Europe is complemented by major financial centers such as Paris, Frankfurt and Zurich. Each day of forex trading begins with the opening of Australia, then Asia, followed by Europe, and finally North America. As markets in one region close, another opens - or has already opened - and continues to trade in the currency market. The seven most traded currencies in the world are: the US dollar, the euro, the Japanese yen, the British pound, the Australian dollar, the Canadian dollar, and the New Zealand dollar. Currencies are needed around the world for international trade, this means that operations are not dominated by a single exchange market, but rather involve a global network of brokers from around the world, such as banks, commercial companies, central banks, companies investment management, hedge funds, as well as retail forex brokers and global investors. Because this market operates in multiple time zones, it can be accessed at any time except during the weekend, therefore, there is continuously at least one open market and there are some hours of overlap between the closing of the market of one region and the opening of another. The international scope of currency trading means that there are always traders around the world making and satisfying demands for a particular currency. The market involves a global network of exchanges and brokers from around the world, although time zones overlap, the generally accepted time zone for each region is as follows: Sydney 5pm to 2am EST (10pm to 7am UTC) London 3am to 12 noon EST (8pm to 5pm UTC) New York 8am to 5pm EST (1pm to 10pm UTC) Tokyo 7pm to 4am EST (12am to 9am UTC) Trading Session A financial asset trading session refers to a period of time that coincides with the daytime trading hours for a given location, it is a business day in the local financial market. This may vary according to the asset class and the country, therefore operators must know the hours of trading sessions for the securities and derivatives in which they are interested in trading. If investors can understand market hours and set proper targets, they will have a much greater chance of making a profit within a workable schedule. Kill Zones Kill zones are highly liquid events. Many different market participants often come together and perform around these events. The activity itself can be event-driven (margin calls or option exercise-related activity), portfolio management-driven (asset allocation rebalancing orders and closing buy-in), or institutionally driven (larger players needing liquidity to complete the size) or a combination of any of the three. This intense cross-current of activity at a very specific point in time often occurs near significant technical levels and the established trends emerging from these events often persist until the next Death Zone approaches or enters. Kill Zones are evolving with time and the course of world history. Since the end of World War II, New York has slowly invaded London's place as the world center for commercial banking. So much so that during the latter part of the 20th century, New York was considered the new center of the financial universe. With the end of the cold war, that leadership appears to have shifted towards Europe and away from the United States. Furthermore, Japan has slowly lost its former dominance in the global economic landscape, while Beijing's has increased dramatically. Only time will tell how these death zones will evolve given the ever-changing political, economic, and socioeconomic influences of each region. Financial Markets New York New York (NYSE Chicago, NASDAQ) 7:30 am - 2:00 pm It is the second largest currency platform in the world, followed largely by foreign investors as it participates in 90% of all operations, where movements on the New York Stock Exchange (NYSE) can have an immediate effect (powerful) on the dollar, for example, when companies merge and acquisitions are finalized, the dollar can instantly gain or lose value. A. Complementary Stock Exchanges Brazil (BOVESPA - Brazilian Stock Exchange) 07:00 am - 02:55 pm Canada (TSX - Toronto Stock Exchange) 07:30 am - 02:00 pm New York (NYSE - New York Stock Exchange) 08:30 am - 03:00 pm B. North American Trading Session 07:00 am - 03:00 pm (from the beginning of the business day on NYSE and NASDAQ, until the end of the New York session) New York, Chicago and Toronto (Canada) open the North American session. Characterized by the most aggressive trading within the markets, currency pairs show high volatility. As the US markets open, trading is still active in Europe, however trading volume generally decreases with the end of the European session and the overlap between the US and Europe. C. Strategic Points US main session starts in 1 hour 07:30 am The euro tends to drop before the US session. The NYSE, CHX and TSX (Canada) trading sessions begin 1 hour after this strategic point. The North American session begins trading Forex at 07:00 am. This constitutes the beginning of the overlap of the United States and the European market that spans from 07:00 am to 10:35 am, often called the best time to trade EUR / USD, it is the period of greatest liquidity for the main European currencies since it is where they have their widest daily ranges. When New York opens at 07:00 am the most intense trading begins in both the US and European markets. The overlap of European and American trading sessions has 80% of the total average trading range for all currency pairs during US business hours and 70% of the total average trading range for all currency pairs during European business hours. The intersection of the US and European sessions are the most volatile overlapping hours of all. Influential news and data for the USD are released between 07:30 am and 09:00 am and play the biggest role in the North American Session. These are the strategically most important moments of this activity period: 07:00 am, 08:00 am and 08:30 am. The main session of operations in the United States and Canada begins 08:30 am Start of main trading sessions in New York, Chicago and Toronto. The European session still overlaps the North American session and this is the time for large-scale unpredictable trading. The United States leads the market. It is difficult to interpret the news due to speculation. Trends develop very quickly and it is difficult to identify them, however trends (especially for the euro), which have developed during the overlap, often turn the other way when Europe exits the market. Second hour of the US session and last hour of the European session 09:30 am End of the European session 10:35 am The trend of the euro will change rapidly after the end of the European session. Last hour of the United States session 02:00 pm Institutional clients and very large funds are very active during the first and last working hours of almost all stock exchanges, knowing this allows to better predict price movements in the opening and closing of large markets. Within the last trading hours of the secondary market session, a pullback can often be seen in the EUR / USD that continues until the opening of the Tokyo session. Generally it happens if there was an upward price movement before 04:00 pm - 05:00 pm. End of the trade session in the United States 03:00 pm D. Kill Zones 11:30 am - 1:30 pm New York Kill Zone. The United States is still the world's largest economy, so by default, the New York opening carries a lot of weight and often comes with a huge injection of liquidity. In fact, most of the world's marketable assets are priced in US dollars, making political and economic activity within this region even more important. Because it is relatively late in the world's trading day, this Death Zone often sees violent price swings within its first hour, leading to the proven adage "never trust the first hour of trading in America. North. --------------- London London (LSE - London Stock Exchange) 02:00 am - 10:35 am Britain dominates the currency markets around the world, and London is its main component. London, a central trading capital of the world, accounts for about 43% of world trade, many Forex trends often originate from London. A. Complementary Stock Exchange Dubai (DFM - Dubai Financial Market) 12:00 am - 03:50 am Moscow (MOEX - Moscow Exchange) 12:30 am - 10:00 am Germany (FWB - Frankfurt Stock Exchange) 01:00 am - 10:30 am Afríca (JSE - Johannesburg Stock Exchange) 01:00 am - 09:00 am Saudi Arabia (TADAWUL - Saudi Stock Exchange) 01:00 am - 06:00 am Switzerland (SIX - Swiss Stock Exchange) 02:00 am - 10:30 am B. European Trading Session 02:00 am - 11:00 am (from the opening of the Frankfurt session to the close of the Order Book on the London Stock Exchange / Euronext) It is a very liquid trading session, where trends are set that start during the first trading hours in Europe and generally continue until the beginning of the US session. C. Middle East Trading Session 12:00 am - 06:00 am (from the opening of the Dubai session to the end of the Riyadh session) D. Strategic Points European session begins 02:00 am London, Frankfurt and Zurich Stock Exchange enter the market, overlap between Europe and Asia begins. End of the Singapore and Asia sessions 03:00 am The euro rises almost immediately or an hour after Singapore exits the market. Middle East Oil Markets Completion Process 05:00 am Operations are ending in the European-Asian market, at which time Dubai, Qatar and in another hour in Riyadh, which constitute the Middle East oil markets, are closing. Because oil trading is done in US dollars, and the region with the trading day coming to an end no longer needs the dollar, consequently, the euro tends to grow more frequently. End of the Middle East trading session 06:00 am E. Kill Zones 5:00 am - 7:00 am London Kill Zone. Considered the center of the financial universe for more than 500 years, Europe still has a lot of influence in the banking world. Many older players use the European session to establish their positions. As such, the London Open often sees the most significant trend-setting activity on any trading day. In fact, it has been suggested that 80% of all weekly trends are set through the London Kill Zone on Tuesday. F. Kill Zones (close) 2:00 pm - 4:00 pm London Kill Zone (close). --------------- Tokyo Tokyo (JPX - Tokyo Stock Exchange) 06:00 pm - 12:00 am It is the first Asian market to open, receiving most of the Asian trade, just ahead of Hong Kong and Singapore. A. Complementary Stock Exchange Singapore (SGX - Singapore Exchange) 07:00 pm - 03:00 am Hong Kong (HKEx - Hong Kong Stock Exchange) 07:30 pm - 02:00 am Shanghai (SSE - Shanghai Stock Exchange) 07:30 pm - 01:00 am India (NSE - India National Stock Exchange) 09:45 pm - 04:00 am B. Asian Trading Session 06:00 pm - 03:00 am From the opening of the Tokyo session to the end of the Singapore session The first major Asian market to open is Tokyo which has the largest market share and is the third largest Forex trading center in the world. Singapore opens in an hour, and then the Chinese markets: Shanghai and Hong Kong open 30 minutes later. With them, the trading volume increases and begins a large-scale operation in the Asia-Pacific region, offering more liquidity for the Asian-Pacific currencies and their crosses. When European countries open their doors, more liquidity will be offered to Asian and European crossings. C. Strategic Points Second hour of the Tokyo session 07:00 pm This session also opens the Singapore market. The commercial dynamics grows in anticipation of the opening of the two largest Chinese markets in 30 minutes: Shanghai and Hong Kong, within these 30 minutes or just before the China session begins, the euro usually falls until the same moment of the opening of Shanghai and Hong Kong. Second hour of the China session 08:30 pm Hong Kong and Shanghai start trading and the euro usually grows for more than an hour. The EUR / USD pair mixes up as Asian exporters convert part of their earnings into both US dollars and euros. Last hour of the Tokyo session 11:00 pm End of the Tokyo session 12:00 am If the euro has been actively declining up to this time, China will raise the euro after the Tokyo shutdown. Hong Kong, Shanghai and Singapore remain open and take matters into their own hands causing the growth of the euro. Asia is a huge commercial and industrial region with a large number of high-quality economic products and gigantic financial turnover, making the number of transactions on the stock exchanges huge during the Asian session. That is why traders, who entered the trade at the opening of the London session, should pay attention to their terminals when Asia exits the market. End of the Shanghai session 01:00 am The trade ends in Shanghai. This is the last trading hour of the Hong Kong session, during which market activity peaks. D. Kill Zones 10:00 pm - 2:00 am Asian Kill Zone. Considered the "Institutional" Zone, this zone represents both the launch pad for new trends as well as a recharge area for the post-American session. It is the beginning of a new day (or week) for the world and as such it makes sense that this zone often sets the tone for the remainder of the global business day. It is ideal to pay attention to the opening of Tokyo, Beijing and Sydney. -------------- Sidney Sydney (ASX - Australia Stock Exchange) 06:00 pm - 12:00 am A. Complementary Stock Exchange New Zealand (NZX - New Zealand Stock Exchange) 04:00 pm - 10:45 pm It's where the global trading day officially begins. While it is the smallest of the megamarkets, it sees a lot of initial action when markets reopen Sunday afternoon as individual traders and financial institutions are trying to regroup after the long hiatus since Friday afternoon. On weekdays it constitutes the end of the current trading day where the change in the settlement date occurs. B. Pacific Trading Session 04:00 pm - 12:00 am (from the opening of the Wellington session to the end of the Sydney session) Forex begins its business hours when Wellington (New Zealand Exchange) opens local time on Monday. Sydney (Australian Stock Exchange) opens in 2 hours. It is a session with a fairly low volatility, configuring itself as the calmest session of all. Strong movements appear when influential news is published and when the Pacific session overlaps the Asian Session. C. Strategic Points End of the Sydney session 12:00 am --------------- Conclusions The best time to trade is during overlaps in trading times between open markets. Overlaps equate to higher price ranges, creating greater opportunities. Regarding press releases (news), it should be noted that these in the currency markets have the power to improve a normally slow trading period. When a major announcement is made regarding economic data, especially when it goes against the predicted forecast, the coin can lose or gain value in a matter of seconds. In general, the more economic growth a country produces, the more positive the economy is for international investors. Investment capital tends to flow to countries that are believed to have good growth prospects and subsequently good investment opportunities, leading to the strengthening of the country's exchange rate. Also, a country that has higher interest rates through its government bonds tends to attract investment capital as foreign investors seek high-yield opportunities. However, stable economic growth and attractive yields or interest rates are inextricably intertwined. It's important to take advantage of market overlaps and keep an eye out for press releases when setting up a trading schedule. References: www.investopedia.com www.investopedia.com www.investopedia.com www.investopedia.com market24hclock.com market24hclock.com
Penunjuk Pine Script®
oleh angelitos
5
Intermarket Analysis ProIntermarket Analysis Pro Indicator Overview The Intermarket Analysis Pro is a sophisticated trading indicator designed for forex traders, integrating technical analysis with comprehensive macroeconomic insights. This tool features Exponential Moving Averages (EMA 10/20) for trend detection, a consolidated table combining timeframe biases, trading signals, and intermarket data, delivering a holistic view to optimize decision-making in volatile markets. Usage Instructions Installation: Access TradingView, navigate to the Pine Editor, paste the script, and save it as "Intermarket_Analysis_Pro". Apply it to your desired forex chart (e.g., EURUSD on a 5-minute timeframe). Configuration: EMA Settings: Select EMA Source as "close" for precise alignment with candle closes, adjust EMA 10 Period (default 10) and EMA 20 Period (default 20) to suit your strategy, and toggle Show EMA Value Labels or Show (B)/(S) Signal Labels for enhanced visibility. Table Settings: Enable Show Combined Table, select Combined Table Position (e.g., "Bottom Right"), and choose Text Size (e.g., "Small") for optimal display. Intermarket Parameters: Fine-tune Bias Threshold (default 0.3) and Score Change Threshold (default 10) to refine intermarket bias sensitivity. Display Options: Switch between "Light" or "Dark" themes to match your chart environment. Signal Interpretation: EMA Indicators: A crossover of EMA 10 (orange) above EMA 20 (blue) signals a potential BUY, while a crossunder indicates a SELL. Confirm with "(B)" or "(S)" labels on the chart. Combined Table: Analyze timeframe biases (e.g., "BULLISH" on 1m), logic signals (e.g., "BUY" on 5m), and intermarket trends (e.g., "EUR Rise (+30)") to align with market conditions. Strategic Application: Utilize on lower timeframes (1m, 5m) for scalping or higher timeframes (1h, 4h) for swing trading. Ensure smooth scrolling to verify EMA and table synchronization with candles. Alert Setup: Configure alerts for "Buy Signal" or "Sell Signal" on your preferred timeframe to receive real-time notifications. Key Features EMA 10/20: Provides customizable short-term trend analysis with optional value labels. Unified Table: Merges SimpleBias (timeframe trends), Logic (trading signals), and Intermarket (global currency, index, and bond movements) into a single, scrollable interface. Intermarket Insights: Evaluates 18 assets (e.g., DXY, SPX500, EUR, XAUUSD) for macroeconomic sentiment, updated hourly with color-coded change indicators. Customization: Offers adjustable positions, sizes, and thresholds to adapt to individual trading preferences. Market Context: Reflects current sentiment, such as a bullish EURUSD trend supported by weak NFP data and hawkish ECB policies (as of July 2025). Best Practices Timeframe Alignment: Match the chart timeframe with your analysis to ensure accurate EMA and table data representation. Optimal Trading Hours: Maximize effectiveness during the NY session (08:00-17:00 EST) when intermarket activity is most pronounced. Troubleshooting: If EMA lags during scrolling, disable labels or reduce additional indicators. Report discrepancies (e.g., "EMA 10 at 1.08840, candle at 1.08850") for further optimization. Additional Notes The Intermarket Analysis Pro is tailored for traders seeking to integrate global sentiment with technical signals. Test thoroughly on a demo account and adjust settings to align with your trading strategy. As of July 5, 2025, 04:04 AM WIB, the market indicates a bullish EURUSD outlook, with intermarket data reinforcing BUY opportunities on lower timeframes.
Penunjuk Pine Script®
oleh milikgroupy_tv
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.
Penunjuk Pine Script®
oleh DskyzInvestments
13
IBD Style Candles [tradeviZion]IBD Style Candles - Visualize Price Bars Like the Pros Transform your chart with institutional-grade IBD-style bars and customizable moving averages for both daily and weekly timeframes. This indicator helps you visualize price action the way professionals at Investors Business Daily do. What This Indicator Offers: IBD-style bar visualization (clean, professional appearance) Customizable coloring based on price movement or previous close Automatic timeframe detection for appropriate moving averages Four customizable moving averages for daily timeframes (10, 21, 50, 200) Four customizable moving averages for weekly timeframes (10, 20, 30, 40) Options to use SMAs or EMAs with adjustable colors and line widths "The IBD-style bars provide a cleaner view of price action, allowing you to focus on market structure without the visual noise of traditional candles." How to Apply the IBD-Style Bars: On your TradingView chart, select "Bars" as the chart type from the main chart type selection menu (next to the time interval options). Right-click on the chart and select "Settings". Go to the "Symbol" tab. Uncheck the "Thin Bars" option to display thicker bars. Set the "Up Color" and "Down Color" opacity to 0 for a clean IBD-style appearance. Enable "IBD-style Candles" from the script's settings. To revert to the original chart style, repeat the above steps and restore the default settings. Moving Average Configuration: The indicator automatically detects your timeframe and displays the appropriate moving averages: Daily Timeframe Moving Averages: 10-day moving average (SMA/EMA) 21-day moving average (SMA/EMA) 50-day moving average (SMA/EMA) 200-day moving average (SMA/EMA) Weekly Timeframe Moving Averages: 10-week moving average (SMA/EMA) 20-week moving average (SMA/EMA) 30-week moving average (SMA/EMA) 40-week moving average (SMA/EMA) Usage Tips: Enable "Color bars based on previous close" to identify momentum shifts based on prior candle closes Customize colors to match your chart theme or preference Enable only the moving averages relevant to your trading strategy For cleaner charts, reduce the number of visible moving averages For stock trading, the 10/21/50/200 daily and 10/40 weekly MAs are most commonly used by institutions // Example configuration for different timeframes if timeframe.isweekly // Weekly configuration showSMA1_Weekly = true // 10-week MA showSMA4_Weekly = true // 40-week MA else // Daily configuration showMA2_Daily = true // 21-day MA showMA3_Daily = true // 50-day MA showMA4_Daily = true // 200-day MA While the IBD style provides clarity, remember that no visualization method guarantees trading success. Always combine with proper analysis and risk management. If you found this indicator helpful, please consider leaving a comment or suggestion for future improvements. Happy trading!
Penunjuk Pine Script®
oleh TradeVizion
4
EXODUS EXODUS by (DAFE) Trading Systems EXODUS is a sophisticated trading algorithm built by Dskyz (DAFE) Trading Systems for competitive and competition purposes, designed to identify high-probability trades with robust risk management. this strategy leverages a multi-signal voting system, combining three core components—SPR, VWMO, and VEI—alongside ADX, choppiness filters, and ATR-based volatility gates to ensure trades are taken only in favorable market conditions. the algo uses a take-profit to stop-loss ratio, dynamic position sizing, and a strict voting mechanism requiring all signals to align before entering a trade. EXODUS was not overfitted for any specific symbol. instead, it uses a generic tuned setting, making it versatile across various markets. while it can trade futures, it’s not currently set up for it but has the potential to do more with further development. visuals are intentionally minimal due to its competition focus, prioritizing performance over aesthetics. a more visually stunning version may be released in the future with enhanced graphics. The Unique Core Components Developed for EXODUS SPR (Session Price Recalibration) SPR measures momentum during regular trading hours (RTH, 0930-1600, America/New_York) to catch session-specific trends. spr_lookback = input.int(15, "SPR Lookback") this sets how many bars back SPR looks to calculate momentum (default 15 bars). it compares the current session’s price-volume score to the score 15 bars ago to gauge momentum strength. how it works: a longer lookback smooths out the signal, focusing on bigger trends. a shorter one makes SPR more sensitive to recent moves. how to adjust: on a 1-hour chart, 15 bars is 15 hours (about 2 trading days). if you’re on a shorter timeframe like 5 minutes, 15 bars is just 75 minutes, so you might want to increase it to 50 or 100 to capture more meaningful trends. if you’re trading a choppy stock, a shorter lookback (like 5) can help catch quick moves, but it might give more false signals. spr_threshold = input.float (0.7, "SPR Threshold") this is the cutoff for SPR to vote for a trade (default 0.7). if SPR’s normalized value is above 0.7, it votes for a long; below -0.7, it votes for a short. how it works: SPR normalizes its momentum score by ATR, so this threshold ensures only strong moves count. a higher threshold means fewer trades but higher conviction. how to adjust: if you’re getting too few trades, lower it to 0.5 to let more signals through. if you’re seeing too many false entries, raise it to 1.0 for stricter filtering. test on your chart to find a balance. spr_atr_length = input.int(21, "SPR ATR Length") this sets the ATR period (default 21 bars) used to normalize SPR’s momentum score. ATR measures volatility, so this makes SPR’s signal relative to market conditions. how it works: a longer ATR period (like 21) smooths out volatility, making SPR less jumpy. a shorter one makes it more reactive. how to adjust: if you’re trading a volatile stock like TSLA, a longer period (30 or 50) can help avoid noise. for a calmer stock, try 10 to make SPR more responsive. match this to your timeframe—shorter timeframes might need a shorter ATR. rth_session = input.session("0930-1600","SPR: RTH Sess.") rth_timezone = "America/New_York" this defines the session SPR uses (0930-1600, New York time). SPR only calculates momentum during these hours to focus on RTH activity. how it works: it ignores pre-market or after-hours noise, ensuring SPR captures the main market action. how to adjust: if you trade a different session (like London hours, 0300-1200 EST), change the session to match. you can also adjust the timezone if you’re in a different region, like "Europe/London". just make sure your chart’s timezone aligns with this setting. VWMO (Volume-Weighted Momentum Oscillator) VWMO measures momentum weighted by volume to spot sustained, high-conviction moves. vwmo_momlen = input.int(21, "VWMO Momentum Length") this sets how many bars back VWMO looks to calculate price momentum (default 21 bars). it takes the price change (close minus close 21 bars ago). how it works: a longer period captures bigger trends, while a shorter one reacts to recent swings. how to adjust: on a daily chart, 21 bars is about a month—good for trend trading. on a 5-minute chart, it’s just 105 minutes, so you might bump it to 50 or 100 for more meaningful moves. if you want faster signals, drop it to 10, but expect more noise. vwmo_volback = input.int(30, "VWMO Volume Lookback") this sets the period for calculating average volume (default 30 bars). VWMO weights momentum by volume divided by this average. how it works: it compares current volume to the average to see if a move has strong participation. a longer lookback smooths the average, while a shorter one makes it more sensitive. how to adjust: for stocks with spiky volume (like NVDA on earnings), a longer lookback (50 or 100) avoids overreacting to one-off spikes. for steady volume stocks, try 20. match this to your timeframe—shorter timeframes might need a shorter lookback. vwmo_smooth = input.int(9, "VWMO Smoothing") this sets the SMA period to smooth VWMO’s raw momentum (default 9 bars). how it works: smoothing reduces noise in the signal, making VWMO more reliable for voting. a longer smoothing period cuts more noise but adds lag. how to adjust: if VWMO is too jumpy (lots of false votes), increase to 15. if it’s too slow and missing trades, drop to 5. test on your chart to see what keeps the signal clean but responsive. vwmo_threshold = input.float(10, "VWMO Threshold") this is the cutoff for VWMO to vote for a trade (default 10). above 10, it votes for a long; below -10, a short. how it works: it ensures only strong momentum signals count. a higher threshold means fewer but stronger trades. how to adjust: if you want more trades, lower it to 5. if you’re getting too many weak signals, raise it to 15. this depends on your market—volatile stocks might need a higher threshold to filter noise. VEI (Velocity Efficiency Index) VEI measures market efficiency and velocity to filter out choppy moves and focus on strong trends. vei_eflen = input.int(14, "VEI Efficiency Smoothing") this sets the EMA period for smoothing VEI’s efficiency calc (bar range / volume, default 14 bars). how it works: efficiency is how much price moves per unit of volume. smoothing it with an EMA reduces noise, focusing on consistent efficiency. a longer period smooths more but adds lag. how to adjust: for choppy markets, increase to 20 to filter out noise. for faster markets, drop to 10 for quicker signals. this should match your timeframe—shorter timeframes might need a shorter period. vei_momlen = input.int(8, "VEI Momentum Length") this sets how many bars back VEI looks to calculate momentum in efficiency (default 8 bars). how it works: it measures the change in smoothed efficiency over 8 bars, then adjusts for inertia (volume-to-range). a longer period captures bigger shifts, while a shorter one reacts faster. how to adjust: if VEI is missing quick reversals, drop to 5. if it’s too noisy, raise to 12. test on your chart to see what catches the right moves without too many false signals. vei_threshold = input.float(4.5, "VEI Threshold") this is the cutoff for VEI to vote for a trade (default 4.5). above 4.5, it votes for a long; below -4.5, a short. how it works: it ensures only strong, efficient moves count. a higher threshold means fewer trades but higher quality. how to adjust: if you’re not getting enough trades, lower to 3. if you’re seeing too many false entries, raise to 6. this depends on your market—fast stocks like NQ1 might need a lower threshold. Features Multi-Signal Voting: requires all three signals (SPR, VWMO, VEI) to align for a trade, ensuring high-probability setups. Risk Management: uses ATR-based stops (2.1x) and take-profits (4.1x), with dynamic position sizing based on a risk percentage (default 0.4%). Market Filters: ADX (default 27) ensures trending conditions, choppiness index (default 54.5) avoids sideways markets, and ATR expansion (default 1.12) confirms volatility. Dashboard: provides real-time stats like SPR, VWMO, VEI values, net P/L, win rate, and streak, with a clean, functional design. Visuals EXODUS prioritizes performance over visuals, as it was built for competitive and competition purposes. entry/exit signals are marked with simple labels and shapes, and a basic heatmap highlights market regimes. a more visually stunning update may be released later, with enhanced graphics and overlays. Usage EXODUS is designed for stocks and ETFs but can be adapted for futures with adjustments. it performs best in trending markets with sufficient volatility, as confirmed by its generic tuning across symbols like TSLA, AMD, NVDA, and NQ1. adjust inputs like SPR threshold, VWMO smoothing, or VEI momentum length to suit specific assets or timeframes. Setting I used: (Again, these are a generic setting, each security needs to be fine tuned) SPR LB = 19 SPR TH = 0.5 SPR ATR L= 21 SPR RTH Sess: 9:30 – 16:00 VWMO L = 21 VWMO LB = 18 VWMO S = 6 VWMO T = 8 VEI ES = 14 VEI ML = 21 VEI T = 4 R % = 0.4 ATR L = 21 ATR M (S) =1.1 TP Multi = 2.1 ATR min mult = 0.8 ATR Expansion = 1.02 ADX L = 21 Min ADX = 25 Choppiness Index = 14 Chop. Max T = 55.5 Backtesting: TSLA Frame: Jan 02, 2018, 08:00 — May 01, 2025, 09:00 Slippage: 3 Commission .01 Disclaimer this strategy is for educational purposes. past performance is not indicative of future results. trading involves significant risk, and you should only trade with capital you can afford to lose. always backtest and validate any strategy before using it in live markets. (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.) About the Author Dskyz (DAFE) Trading Systems is dedicated to building high-performance trading algorithms. EXODUS is a product of rigorous research and development, aimed at delivering consistent, and data-driven trading solutions. 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. 2025 Created by Dskyz, powered by DAFE Trading Systems. Trade smart, trade bold.
Strategi Pine Script®
oleh DskyzInvestments
2
Dskyz (DAFE) Quantum Sentiment Flux - Beginners Dskyz (DAFE) Quantum Sentiment Flux - Beginners: Welcome to the Dskyz (DAFE) Quantum Sentiment Flux - Beginners , a strategy and concept that’s your ultimate wingman for trading futures like MNQ, NQ, MES, and ES. This gem combines lightning-fast momentum signals, market sentiment smarts, and bulletproof risk management into a system so intuitive, even newbies can trade like pros. With clean DAFE visuals, preset modes for every vibe, and a revamped dashboard that’s basically a market GPS, this strategy makes futures trading feel like a high-octane sci-fi mission. Built on the Dskyz (DAFE) legacy of Aurora Divergence, the Quantum Sentiment Flux is designed to empower beginners while giving seasoned traders a lean, sentiment-driven edge. It uses fast/slow EMA crossovers for entries, filters trades with VIX, SPX trends, and sector breadth, and keeps your account safe with adaptive stops and cooldowns. Tuned for more action with faster signals and a slick bottom-left dashboard, this updated version is ready to light up your charts and outsmart institutional traps. Let’s dive into why this strat’s a must-have and break down its brilliance. Why Traders Need This Strategy Futures markets are a wild ride—fast moves, volatility spikes (like the April 28, 2025 NQ 1k-point drop), and institutional games that can wreck unprepared traders. Beginners often get lost in complex systems or burned by impulsive trades. The Quantum Sentiment Flux is the antidote, offering: Dead-Simple Setup: Preset modes (Aggressive, Balanced, Conservative) auto-tune signals, risk, and sizing, so you can trade without a quant degree. Sentiment Superpower: VIX filter, SPX trend, and sector breadth visuals keep you aligned with market health, dodging chop and riding trends. Ironclad Safety: Tighter ATR-based stops, 2:1 take-profits, and preset cooldowns protect your capital, even in chaotic sessions. Next-Level Visuals: Green/red entry triangles, vibrant EMAs, a sector breadth background, and a beefed-up dashboard make signals and context pop. DAFE Swagger: The clean aesthetics, sleek dashboard—ties it to Dskyz’s elite brand, making your charts a work of art. Traders need this because it’s a plug-and-play system that blends beginner-friendly simplicity with pro-level market awareness. Whether you’re just starting or scalping 5min MNQ, this strat’s your key to trading with confidence and style. Strategy Components 1. Core Signal Logic (High-Speed Momentum) The strategy’s engine is a momentum-based system using fast and slow Exponential Moving Averages (EMAs), now tuned for faster, more frequent trades. How It Works: Fast/Slow EMAs: Fast EMA (Aggressive: 5, Balanced: 7, Conservative: 9 bars) and slow EMA (12/14/18 bars) track short-term vs. longer-term momentum. Crossover Signals: Buy: Fast EMA crosses above slow EMA, and trend_dir = 1 (fast EMA > slow EMA + ATR * strength threshold). Sell: Fast EMA crosses below slow EMA, and trend_dir = -1 (fast EMA < slow EMA - ATR * strength threshold). Strength Filter: ma_strength = fast EMA - slow EMA must exceed an ATR-scaled threshold (Aggressive: 0.15, Balanced: 0.18, Conservative: 0.25) for robust signals. Trend Direction: trend_dir confirms momentum, filtering out weak crossovers in choppy markets. Evolution: Faster EMAs (down from 7–10/21–50) catch short-term trends, perfect for active futures markets. Lower strength thresholds (0.15–0.25 vs. 0.3–0.5) make signals more sensitive, boosting trade frequency without sacrificing quality. Preset tuning ensures beginners get optimized settings, while pros can tweak via mode selection. 2. Market Sentiment Filters The strategy leans hard into market sentiment with a VIX filter, SPX trend analysis, and sector breadth visuals, keeping trades aligned with the big picture. VIX Filter: Logic: Blocks long entries if VIX > threshold (default: 20, can_long = vix_close < vix_limit). Shorts are always allowed (can_short = true). Impact: Prevents longs during high-fear markets (e.g., VIX spikes in crashes), while allowing shorts to capitalize on downturns. SPX Trend Filter: Logic: Compares S&P 500 (SPX) close to its SMA (Aggressive: 5, Balanced: 8, Conservative: 12 bars). spx_trend = 1 (UP) if close > SMA, -1 (DOWN) if < SMA, 0 (FLAT) if neutral. Impact: Provides dashboard context, encouraging trades that align with market direction (e.g., longs in UP trend). Sector Breadth (Visual): Logic: Tracks 10 sector ETFs (XLK, XLF, XLE, etc.) vs. their SMAs (same lengths as SPX). Each sector scores +1 (bullish), -1 (bearish), or 0 (neutral), summed as breadth (-10 to +10). Display: Green background if breadth > 4, red if breadth < -4, else neutral. Dashboard shows sector trends (↑/↓/-). Impact: Faster SMA lengths make breadth more responsive, reflecting sector rotations (e.g., tech surging, energy lagging). Why It’s Brilliant: - VIX filter adds pro-level volatility awareness, saving beginners from panic-driven losses. - SPX and sector breadth give a 360° view of market health, boosting signal confidence (e.g., green BG + buy signal = high-probability trade). - Shorter SMAs make sentiment visuals react faster, perfect for 5min charts. 3. Risk Management The risk controls are a fortress, now tighter and more dynamic to support frequent trading while keeping accounts safe. Preset-Based Risk: Aggressive: Fast EMAs (5/12), tight stops (1.1x ATR), 1-bar cooldown. High trade frequency, higher risk. Balanced: EMAs (7/14), 1.2x ATR stops, 1-bar cooldown. Versatile for most traders. Conservative: EMAs (9/18), 1.3x ATR stops, 2-bar cooldown. Safer, fewer trades. Impact: Auto-scales risk to match style, making it foolproof for beginners. Adaptive Stops and Take-Profits: Logic: Stops = entry ± ATR * atr_mult (1.1–1.3x, down from 1.2–2.0x). Take-profits = entry ± ATR * take_mult (2x stop distance, 2:1 reward/risk). Longs: stop below entry, TP above; shorts: vice versa. Impact: Tighter stops increase trade turnover while maintaining solid risk/reward, adapting to volatility. Trade Cooldown: Logic: Preset-driven (Aggressive/Balanced: 1 bar, Conservative: 2 bars vs. old user-input 2). Ensures bar_index - last_trade_bar >= cooldown. Impact: Faster cooldowns (especially Aggressive/Balanced) allow more trades, balanced by VIX and strength filters. Contract Sizing: Logic: User sets contracts (default: 1, max: 10), no preset cap (unlike old 7/5/3 suggestion). Impact: Flexible but risks over-leverage; beginners should stick to low contracts. Built To Be Reliable and Consistent: - Tighter stops and faster cooldowns make it a high-octane system without blowing up accounts. - Preset-driven risk removes guesswork, letting newbies trade confidently. - 2:1 TPs ensure profitable trades outweigh losses, even in volatile sessions like April 27, 2025 ES slippage. 4. Trade Entry and Exit Logic The entry/exit rules are simple yet razor-sharp, now with VIX filtering and faster signals: Entry Conditions: Long Entry: buy_signal (fast EMA crosses above slow EMA, trend_dir = 1), no position (strategy.position_size = 0), cooldown passed (can_trade), and VIX < 20 (can_long). Enters with user-defined contracts. Short Entry: sell_signal (fast EMA crosses below slow EMA, trend_dir = -1), no position, cooldown passed, can_short (always true). Logic: Tracks last_entry_bar for visuals, last_trade_bar for cooldowns. Exit Conditions: Stop-Loss/Take-Profit: ATR-based stops (1.1–1.3x) and TPs (2x stop distance). Longs exit if price hits stop (below) or TP (above); shorts vice versa. No Other Exits: Keeps it straightforward, relying on stops/TPs. 5. DAFE Visuals The visuals are pure DAFE magic, blending clean function with informative metrics utilized by professionals, now enhanced by faster signals and a responsive breadth background: EMA Plots: Display: Fast EMA (blue, 2px), slow EMA (orange, 2px), using faster lengths (5–9/12–18). Purpose: Highlights momentum shifts, with crossovers signaling entries. Sector Breadth Background: Display: Green (90% transparent) if breadth > 4, red (90%) if breadth < -4, else neutral. Purpose: Faster breadth_sma_len (5–12 vs. 10–50) reflects sector shifts in real-time, reinforcing signal strength. - Visuals are intuitive, turning complex signals into clear buy/sell cues. - Faster breadth background reacts to market rotations (e.g., tech vs. energy), giving a pro-level edge. 6. Sector Breadth Dashboard The new bottom-left dashboard is a game-changer, a 3x16 table (black/gray theme) that’s your market command center: Metrics: VIX: Current VIX (red if > 20, gray if not). SPX: Trend as “UP” (green), “DOWN” (red), or “FLAT” (gray). Trade Longs: “OK” (green) if VIX < 20, “BLOCK” (red) if not. Sector Breadth: 10 sectors (Tech, Financial, etc.) with trend arrows (↑ green, ↓ red, - gray). Placeholder Row: Empty for future metrics (e.g., ATR, breadth score). Purpose: Consolidates regime, volatility, market trend, and sector data, making decisions a breeze. - VIX and SPX metrics add context, helping beginners avoid bad trades (e.g., no longs if “BLOCK”). Sector arrows show market health at a glance, like a cheat code for sentiment. Key Features Beginner-Ready: Preset modes and clear visuals make futures trading a breeze. Sentiment-Driven: VIX filter, SPX trend, and sector breadth keep you in sync with the market. High-Frequency: Faster EMAs, tighter stops, and short cooldowns boost trade volume. Safe and Smart: Adaptive stops/TPs and cooldowns protect capital while maximizing wins. Visual Mastery: DAFE’s clean flair, EMAs, dashboard—makes trading fun and clear. Backtestable: Lean code and fixed qty ensure accurate historical testing. How to Use Add to Chart: Load on a 5min MNQ/ES chart in TradingView. Pick Preset: Aggressive (scalping), Balanced (versatile), or Conservative (safe). Balanced is default. Set Contracts: Default 1, max 10. Stick low for safety. Check Dashboard: Bottom-left shows preset, VIX, SPX, and sectors. “OK” + green breadth = strong buy. Backtest: Run in strategy tester to compare modes. 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 VIX filter and stops in action. Why It’s Brilliant The Dskyz (DAFE) Quantum Sentiment Flux - Beginners is a masterpiece of simplicity and power. It takes pro-level tools—momentum, VIX, sector breadth—and wraps them in a system anyone can run. Faster signals and tighter stops make it a trading machine, while the VIX filter and dashboard keep you ahead of market chaos. The DAFE visuals and bottom-left command center turn your chart into a futuristic cockpit, guiding you through every trade. For beginners, it’s a safe entry to futures; for pros, it’s a scalping beast with sentiment smarts. This strat doesn’t just trade—it transforms how you see the market. Final Notes This is more than a strategy—it’s your launchpad to mastering futures with Dskyz (DAFE) flair. The Quantum Sentiment Flux blends accessibility, speed, and market savvy to help you outsmart the game. Load it, watch those triangles glow, and let’s make the markets your canvas! Official Statement from Pine Script Team (see TradingView help docs and forums): "This warning may appear when you call functions such as ta.sma inside a request.security in a loop. There is no runtime impact. If you need to loop through a dynamic list of tickers, this cannot be avoided in the present version... Values will still be correct. Ignore this warning in such contexts." (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 fast, trade bold.
Strategi Pine Script®
oleh DskyzInvestments
1
Weighted Ichimoku StrategyLSE:HSBA The Ichimoku Kinko Hyo indicator is a comprehensive tool that combines multiple signals to identify market trends and potential buying/selling opportunities. My weighted variant of this strategy attempts to assign specific weights to each signal, allowing for a more nuanced and customizable approach to trend identification. The intent is to try and make a more informed trading decision based on the cumulative strength of various signals. I've tried not to make it a mishmash of this and that + MACD + RSI and on and on; most people have their preferred indicator that focuses on just that that they can use in conjunction. The signals used can be grouped into two groups the 'Core Ichimoku Signals' & the 'Additional Signals' (at the end you will find the signals and their assigned weights followed by the thresholds where they align). The Core Ichimoku Signals are the primary signals used in Ichimoku analysis, including Kumo Breakout, Chikou Cross, Kijun Cross, Tenkan Cross, and Kumo Twist. While the Additional Signals provide further insights and confirmations, such as Kijun Confirmation, Tenkan-Kijun Above Cloud, Chikou Above Cloud, Price-Kijun Cross, Chikou Span Signal, and Price Positioning. Entries are triggered when the cumulative weight of bullish signals exceeds a specified buy threshold, indicating a strong uptrend or potential trend reversal. Exits are initiated when the cumulative weight of bearish signals surpasses a specified sell threshold, or when additional conditions such as consolidation patterns or ATR-based targets are met. There are various exit types that you can choose between, which can be used separately or in conjunction with one another. As an example you might want to exit on a different condition during consolidation periods than during other periods or just use ATR with some other backstop. They are listed in evaluation order i.e. ATR trumps all, Consolidation exit trumps the regular Kumo sell and so on: **ATR Sell**: Exits trades based on ATR-based profit targets and stop-losses. **Consolidation Exit**: Exits trades during consolidation periods to reduce drawdown. **Sell Below Kumo**: Exits trades when the price is below the Kumo, indicating a potential downtrend. **Sell Threshold**: Exits trades when the cumulative weight of bearish signals surpasses a specified sell threshold. There are various 'filters' which are really behavior modifiers: **Kumo Breakout Filter**: Requires price to close above the Kumo for buy signals (essentially a entry delay). **Whipsaw Filter**: Ensures trend strength over specified days to reduce false signals. **Buy Cooldown**: Prevents new entries until half the Kijun period passes after an exit (prevents flapping). **Chikou Filter**: Delays exits unless the previous close is below the Chikou Span. **Consolidation Trend Filter**: Prevents consolidation exits if the trend is bullish (rare, but happens). Then there are some debugging options. Ichimoku periods have some presets (personally I like 8/22/44/22) but are freely configurable, preset to the traditional values for purists. The list of signals and most thresholds follow, play around with them. Thats all. Cheers, **Core Ichimoku Signals** **Kumo Breakout** - 30 (Bullish) / -30 (Bearish) - Indicates a strong trend when the price breaks above (bullish) or below (bearish) the Kumo (cloud). This signal suggests a significant shift in market sentiment. **Chikou Cross** - 20 (Bullish) / -20 (Bearish) - Shows the relationship between the Chikou Span (lagging span) and the current price. A bullish signal occurs when the Chikou Span is above the price, indicating a potential uptrend. Conversely, a bearish signal occurs when the Chikou Span is below the price, suggesting a downtrend. **Kijun Cross** - 15 (Bullish) / -15 (Bearish) - Signals trend changes when the Tenkan-sen (conversion line) crosses above (bullish) or below (bearish) the Kijun-sen (base line). This crossover is often used to identify potential trend reversals. **Tenkan Cross** - 10 (Bullish) / -10 (Bearish) - Indicates short-term trend changes when the price crosses above (bullish) or below (bearish) the Tenkan-sen. This signal helps identify minor trend shifts within the broader trend. **Kumo Twist** - 5 (Bullish) / -5 (Bearish) - Shows changes in the Kumo's direction, indicating potential trend shifts. A bullish Kumo Twist occurs when Senkou Span A crosses above Senkou Span B, and a bearish twist occurs when Senkou Span A crosses below Senkou Span B. **Additional Signals** **Kijun Confirmation** - 8 (Bullish) / -8 (Bearish) - Confirms the trend based on the price's position relative to the Kijun-sen. A bullish signal occurs when the price is above the Kijun-sen, and a bearish signal occurs when the price is below it. **Tenkan-Kijun Above Cloud** - 5 (Bullish) / -5 (Bearish) - Indicates a strong bullish trend when both the Tenkan-sen and Kijun-sen are above the Kumo. Conversely, a bearish signal occurs when both lines are below the Kumo. **Chikou Above Cloud** - 5 (Bullish) / -5 (Bearish) - Shows the Chikou Span's position relative to the Kumo, indicating trend strength. A bullish signal occurs when the Chikou Span is above the Kumo, and a bearish signal occurs when it is below. **Price-Kijun Cross** - 2 (Bullish) / -2 (Bearish) - Signals short-term trend changes when the price crosses above (bullish) or below (bearish) the Kijun-sen. This signal is similar to the Kijun Cross but focuses on the price's direct interaction with the Kijun-sen. **Chikou Span Signal** - 10 (Bullish) / -10 (Bearish) - Indicates the trend based on the Chikou Span's position relative to past price highs and lows. A bullish signal occurs when the Chikou Span is above the highest high of the past period, and a bearish signal occurs when it is below the lowest low. **Price Positioning** - 10 (Bullish) / -10 (Bearish) - Shows indecision when the price is between the Tenkan-sen and Kijun-sen, indicating a potential consolidation phase. A bullish signal occurs when the price is above both lines, and a bearish signal occurs when the price is below both lines. **Confidence Level**: Highly Sensitive - **Buy Threshold**: 50 - **Sell Threshold**: -50 - **Notes / Significance**: ~2–3 signals, very early trend detection. High sensitivity, may capture noise and false signals. **Confidence Level**: Entry-Level - **Buy Threshold**: 58 - **Sell Threshold**: -58 - **Notes / Significance**: ~3–4 signals, often Chikou Cross or Kumo Breakout. Very sensitive, risks noise (e.g., false buys in choppy markets). **Confidence Level**: Entry-Level - **Buy Threshold**: 60 - **Sell Threshold**: -60 - **Notes / Significance**: ~3–4 signals, Kumo Breakout or Chikou Cross anchors. Entry point for early trends. **Confidence Level**: Moderate - **Buy Threshold**: 65 - **Sell Threshold**: -65 - **Notes / Significance**: ~4–5 signals, balances sensitivity and reliability. Suitable for moderate risk tolerance. **Confidence Level**: Conservative - **Buy Threshold**: 70 - **Sell Threshold**: -70 - **Notes / Significance**: ~4–5 signals, emphasizes stronger confirmations. Reduces false signals but may miss some opportunities. **Confidence Level**: Very Conservative - **Buy Threshold**: 75 - **Sell Threshold**: -75 - **Notes / Significance**: ~5–6 signals, prioritizes high confidence. Minimizes risk but may enter trades late. **Confidence Level**: High Confidence - **Buy Threshold**: 80 - **Sell Threshold**: -80 - **Notes / Significance**: ~6–7 signals, very strong confirmations needed. Suitable for cautious traders. **Confidence Level**: Very High Confidence - **Buy Threshold**: 85 - **Sell Threshold**: -85 - **Notes / Significance**: ~7–8 signals, extremely high confidence required. Minimizes false signals significantly. **Confidence Level**: Maximum Confidence - **Buy Threshold**: 90 - **Sell Threshold**: -90 - **Notes / Significance**: ~8–9 signals, maximum confidence level. Ensures trades are highly reliable but may result in fewer trades. **Confidence Level**: Ultra Conservative - **Buy Threshold**: 100 - **Sell Threshold**: -100 - **Notes / Significance**: ~9–10 signals, ultra-high confidence. Trades are extremely reliable but opportunities are rare. **Confidence Level**: Extreme Confidence - **Buy Threshold**: 110 - **Sell Threshold**: -110 - **Notes / Significance**: All signals align, extreme confidence. Trades are almost certain but very few opportunities.
Strategi Pine Script®
oleh i3enedek
12
Green*DiamondGreen*Diamond (GD1) Unleash Dynamic Trading Signals with Volatility and Momentum Overview GreenDiamond is a versatile overlay indicator designed for traders seeking actionable buy and sell signals across various markets and timeframes. Combining Volatility Bands (VB) bands, Consolidation Detection, MACD, RSI, and a unique Ribbon Wave, it highlights high-probability setups while filtering out noise. With customizable signals like Green-Yellow Buy, Pullback Sell, and Inverse Pullback Buy, plus vibrant candle and volume visuals, GreenDiamond adapts to your trading style—whether you’re scalping, day trading, or swing trading. Key Features Volatility Bands (VB): Plots dynamic upper and lower bands to identify breakouts or reversals, with toggleable buy/sell signals outside consolidation zones. Consolidation Detection: Marks low-range periods to avoid choppy markets, ensuring signals fire during trending conditions. MACD Signals: Offers flexible buy/sell conditions (e.g., cross above signal, above zero, histogram up) with RSI divergence integration for precision. RSI Filter: Enhances signals with customizable levels (midline, oversold/overbought) and bullish divergence detection. Ribbon Wave: Visualizes trend strength using three EMAs, colored by MACD and RSI for intuitive momentum cues. Custom Signals: Includes Green-Yellow Buy, Pullback Sell, and Inverse Pullback Buy, with limits on consecutive signals to prevent overtrading. Candle & Volume Styling: Blends MACD/RSI colors on candles and scales volume bars to highlight momentum spikes. Alerts: Set up alerts for VB signals, MACD crosses, Green*Diamond signals, and custom conditions to stay on top of opportunities. How It Works Green*Diamond integrates multiple indicators to generate signals: Volatility Bands: Calculates bands using a pivot SMA and standard deviation. Buy signals trigger on crossovers above the lower band, sell signals on crossunders below the upper band (if enabled). Consolidation Filter: Suppresses signals when candle ranges are below a threshold, keeping you out of flat markets. MACD & RSI: Combines MACD conditions (e.g., cross above signal) with RSI filters (e.g., above midline) and optional volume spikes for robust signals. Custom Logic: Green-Yellow Buy uses MACD bullishness, Pullback Sell targets retracements, and Inverse Pullback Buy catches reversals after downmoves—all filtered to avoid consolidation. Visuals: Ribbon Wave shows trend direction, candles blend momentum colors, and volume bars scale dynamically to confirm signals. Settings Volatility Bands Settings: VB Lookback Period (20): Adjust to 10–15 for faster markets (e.g., 1-minute scalping) or 25–30 for daily charts. Upper/Lower Band Multiplier (1.0): Increase to 1.5–2.0 for wider bands in volatile stocks like AEHL; decrease to 0.5 for calmer markets. Show Volatility Bands: Toggle off to reduce chart clutter. Use VB Signals: Enable for breakout-focused trades; disable to focus on Green*Diamond signals. Consolidation Settings: Consolidation Lookback (14): Set to 5–10 for small caps (e.g., AEHL) to catch quick consolidations; 20 for higher timeframes. Range Threshold (0.5): Lower to 0.3 for stricter filtering in choppy markets; raise to 0.7 for looser signals. MACD Settings: Fast/Slow Length (12/26): Shorten to 8/21 for scalping; extend to 15/34 for swing trading. Signal Smoothing (9): Reduce to 5 for faster signals; increase to 12 for smoother trends. Buy/Sell Signal Options: Choose “Cross Above Signal” for classic MACD; “Histogram Up” for momentum plays. Use RSI Div + MACD Cross: Enable for high-probability reversal signals. RSI Settings: RSI Period (14): Drop to 10 for 1-minute charts; raise to 20 for daily. Filter Level (50): Set to 55 for stricter buys; 45 for sells. Overbought/Oversold (70/30): Tighten to 65/35 for small caps; widen to 75/25 for indices. RSI Buy/Sell Options: Select “Bullish Divergence” for reversals; “Cross Above Oversold” for momentum. Color Settings: Adjust bullish/bearish colors for visibility (e.g., brighter green/red for dark themes). Border Thickness (1): Increase to 2–3 for clearer candle outlines. Volume Settings: Volume Average Length (20): Shorten to 10 for scalping; extend to 30 for swing trades. Volume Multiplier (2.0): Raise to 3.0 for AEHL’s volume surges; lower to 1.5 for steady stocks. Bar Height (10%): Increase to 15% for prominent bars; decrease to 5% to reduce clutter. Ribbon Settings: EMA Periods (10/20/30): Tighten to 5/10/15 for scalping; widen to 20/40/60 for trends. Color by MACD/RSI: Disable for simpler visuals; enable for dynamic momentum cues. Gradient Fill: Toggle on for trend clarity; off for minimalism. Custom Signals: Enable Green-Yellow Buy: Use for momentum confirmation; limit to 1–2 signals to avoid spam. Pullback/Inverse Pullback % (50): Set to 30–40% for small caps; 60–70% for indices. Max Buy Signals (1): Increase to 2–3 for active markets; keep at 1 for discipline. Tips and Tricks Scalping Small Caps (e.g., AEHL): Use 1-minute charts with VB Lookback = 10, Consolidation Lookback = 5, and Volume Multiplier = 3.0 to catch $0.10–$0.20 moves. Enable Green-Yellow Buy and Inverse Pullback Buy for quick entries; disable VB Signals to focus on Green*Diamond logic. Pair with SMC+ green boxes (if you use them) for reversal confirmation. Day Trading: Try 5-minute charts with MACD Fast/Slow = 8/21 and RSI Period = 10. Enable RSI Divergence + MACD Cross for high-probability setups; set Max Buy Signals = 2. Watch for volume bars turning yellow to confirm entries. Swing Trading: Use daily charts with VB Lookback = 30, Ribbon EMAs = 20/40/60. Enable Pullback Sell (60%) to exit after rallies; disable RSI Color for cleaner candles. Check Ribbon Wave gradient for trend strength—bright green signals strong bulls. Avoiding Noise: Increase Consolidation Threshold to 0.7 on volatile days to skip false breakouts. Disable Ribbon Wave or Volume Bars if the chart feels crowded. Limit Max Buy Signals to 1 for disciplined trading. Alert Setup: In TradingView’s Alerts panel, select: “GD Buy Signal” for standard entries. “RSI Div + MACD Cross Buy” for reversals. “VB Buy Signal” for breakout plays. Set to “Once Per Bar Close” for confirmed signals; “Once Per Bar” for scalping. Backtesting: Replay on small caps ( Float < 5M, Price $0.50–$5) to test signals. Focus on “GD Buy Signal” with yellow volume bars and green Ribbon Wave. Avoid signals during gray consolidation squares unless paired with RSI Divergence. Usage Notes Markets: Works on stocks, forex, crypto, and indices. Best for volatile assets (e.g., small-cap stocks, BTCUSD). Timeframes: Scalping (1–5 minutes), day trading (15–60 minutes), or swing trading (daily). Adjust settings per timeframe. Risk Management: Combine with stop-losses (e.g., 1% risk, $0.05 below AEHL entry) and take-profits (3–5%). Customization: Tweak inputs to match your strategy—experiment in replay to find your sweet spot. Disclaimer Green*Diamond is a technical tool to assist with trade identification, not a guarantee of profits. Trading involves risks, and past performance doesn’t predict future results. Always conduct your own analysis, manage risk, and test settings before live trading. Feedback Love Green*Diamond? Found a killer setup?
Penunjuk Pine Script®
oleh kwsatterfield1
1
M & W Checklistindicator to Validate & Grade M & W Patterns. Indicator Inputs Table Color Palette • Position Valid : Positions the Valid Trade table on the chart. • Position Grade : Positions the Grade table on the chart, hover over the Column 1 Row 1 for a description of the bands. • Size: Text size for all tables. • Text Color : Sets text color. • Border Color : Sets the table border color for all tables. • Background Color : Sets table backgroud color for all tables. Valid Trade Table Checkboxes to indicate if the trade is valid. Fail is displayed if unchecked, Pass if checked. Grade Table • S/R Level 1: distance between neckline and 1st resistance area in % of the total distance between neckline and take profit. This is not for road blocks but pivot points etc before the initial run up/down in price. I have this set to 30% , this means that if there is a pivot point between the neckline and 30% of the TP level I weight it negatively. • S/R Level 2: distance between neckline and 1st resistance area in % of the total distance between neckline and take profit. This is not for road blocks but pivot points etc before the initial run up/down in price. I have this set to 50% , this means that if there is a pivot point between the neckline and 50% of the TP level 2 weight it negatively but less so than level 1. • S/R Level 3: distance between neckline and 1st resistance area in % of the total distance between neckline and take profit. This is not for road blocks but pivot points etc before the initial run up/down in price. I have this set to 70% , this means that if there is a pivot point between the neckline and 70% of the TP level 3 weight it negatively but less so than level 1 & level 2. • Checkboxes are self explanatory, they are binary options, all are weighted negatively if checked and are weighted positively if unchecked. Divergence values for weighting are neutral if unckecked & weighted positively if checked. • The select options are neutral weighting if set to neutral , if set to For its weighted positive and set to Against weighted negatively. Technical Specification of the Scoring and Band System Overview The scoring system is designed to evaluate a set of technical trade conditions, assigning weights to various criteria that influence the quality of the trade. The system calculates a total score based on both positive and negative conditions. Based on the final score, the system assigns a grade or band (A, B, or C) for positive scores, and a "Negative" label for negative scores. Scoring System The system calculates the score by evaluating a set of 12 conditions (gradeCondition1 to gradeCondition12). These conditions are manually input by the user via checkboxes or dropdowns in a technical indicator (written in Pine Script for TradingView). The score weights vary according to the relative importance of each condition. Condition Breakdown and Weighting: 1. Divergences (GradeCondition1 & GradeCondition2): ◦ 1H Divergence: +5 points if condition is true. ◦ 4H Divergence: +10 points if condition is true (stronger weight than 1H). 2. Support/Resistance at Neckline (GradeCondition3): ◦ Negative if present: -15 points if true (carries significant negative weight). 3. RB near Entry (GradeCondition4): ◦ Very Negative: -20 points if true (this is a critical negative condition). 4. RB can Manage (GradeCondition5): ◦ Slightly Negative: -5 points if true. 5. Institutional Value Zones (GradeCondition6 to GradeCondition8): ◦ For the trade: +5 points. ◦ Against the trade: -5 points. ◦ Neutral: 0 points. 6. S/R between Neckline & Targets (GradeCondition9 to GradeCondition11): ◦ Level 1: -10 points if true, +7 points if false. ◦ Level 2: -7 points if true, +7 points if false. ◦ Level 3: -5 points if true, +7 points if false. ◦ Use fib tool or Gann Box to measure any S/R levels setup according to your preferences. 7. News Timing (GradeCondition12): ◦ News within 3 hours: -20 points if true (strong negative factor). ◦ No upcoming news: +10 points if false. Scoring Calculation Formula: totalScore = score1 + score2 + score3 + score4 + score5 + score6 + score7 + score8 + score9 + score10 + score11 + score12 Where: • score1 to score12 represent the points derived from the conditions described above. Coloring and Visual Feedback: • Positive Scores: Displayed in green. • Negative Scores: Displayed in red. Band System The Band System classifies the total score into different grades, depending on the final value of totalScore. This classification provides an intuitive ranking for trades, helping users quickly assess trade quality. Band Classification: • Band A: If the totalScore is 41 or more. ◦ Represents a highly favorable trade setup. • Band B: If the totalScore is between 21 and 40. ◦ Represents a favorable trade setup with good potential. • Band C: If the totalScore is between 1 and 20. ◦ Represents a trade setup that is acceptable but may have risks. • Negative: If the totalScore is 0 or less. ◦ Represents a poor trade setup with significant risks or unfavorable conditions. Band Calculation Logic (in Pine Script): var string grade = "" if (totalScore >= 41) grade := "Band A" else if (totalScore >= 21) grade := "Band B" else if (totalScore >= 1) grade := "Band C" else grade := "Negative" Technical Key Points: • Highly Negative Conditions: ◦ The system penalizes certain conditions more heavily, especially those that suggest significant risks (e.g., News in less than 3 hours, RB near Entry). • Positive Trade Conditions: ◦ Divergences, Institutional Value Zones in favor of the trade, and lack of significant nearby resistance all contribute positively to the score. • Flexible System: ◦ The system can be adapted or fine-tuned by adjusting the weights of individual conditions according to trading preferences. Use Case Example: • If a trade has 1H and 4H Divergence, RB near Entry (negative), and no upcoming news: ◦ 1H Divergence: +5 points. ◦ 4H Divergence: +10 points. ◦ RB near Entry: -20 points. ◦ No news: +10 points. ◦ Total Score: 5 + 10 - 20 + 10 = 5 → Band C. This modular and flexible scoring system allows traders to systematically evaluate trades and quickly gauge the trade's potential based on technical indicators Summary: Maximum Score: 61 Minimum Score: -97 These are the bounds of the score range based on the current logic of the script.
Penunjuk Pine Script®
oleh socrates1961
ICT MACROS (UTC-4)This Pine Script creates an indicator that draws vertical lines on a TradingView chart to mark specific time intervals during the day. It allows the user to see when certain predefined time periods start and end, using vertical lines of different colors. The script is designed to work with time frames aligned to the UTC-4 timezone. ### Key Features of the Script 1. **Vertical Line Drawing Function**: - The script uses a custom function, `draw_vertical_line`, to draw vertical lines at specific times. - This function takes four parameters: - `specificTime`: The specific timestamp when the vertical line should be drawn. - `lineColor`: The color of the vertical line. - `labelText`: The text label for the line (used internally for debugging purposes). - `adjustment_minutes`: An integer value that allows time adjustment (in minutes) to make the lines align more accurately with the chart’s candles. - The function calculates an adjusted time using the `adjustment_minutes` parameter and checks if the current time (`time`) falls within a 3-minute range of the adjusted time. If it does, it draws a vertical line. 2. **User Input for Time Adjustment**: - The `adjustment_minutes` input allows users to fine-tune the appearance of the lines by shifting them slightly forward or backward in time to ensure they align with the chart candles. This is useful because of potential minor discrepancies between the script’s timestamps and the chart’s actual candle times. 3. **Predefined Time Intervals**: - The script specifies six different time intervals (using the UTC-4 timezone) and draws vertical lines to mark the start and end of each interval: - **First interval**: 8:50 - 9:10 AM - **Second interval**: 9:50 - 10:10 AM - **Third interval**: 10:50 - 11:10 AM - **Fourth interval**: 13:10 - 13:40 PM - **Fifth interval**: 14:50 - 15:10 PM - **Sixth interval**: 15:15 - 15:45 PM - For each interval, there are two timestamps: the start time and the end time. The script draws a green vertical line for the start and a red vertical line for the end. 4. **Line Drawing Logic**: - For each time interval, the script calculates the timestamp using the `timestamp()` function with the specified time in UTC-4. - The `draw_vertical_line` function is called twice for each interval: once for the start time (with a green line) and once for the end time (with a red line). 5. **Visual Overlay**: - The script uses the `overlay=true` setting, which means that the vertical lines are drawn directly on top of the existing price chart. This helps in visually identifying the specific time intervals without cluttering the chart. ### Summary This Pine Script is designed for traders or analysts who want to visualize specific time intervals directly on their TradingView charts. It provides a customizable way to highlight these intervals using vertical lines, making it easier to analyze price action or trading volume during key times of the day. The `adjustment_minutes` input adds flexibility to align these lines accurately with chart data.
Penunjuk Pine Script®
oleh RevalSalut
Macro Times [Blu_Ju]About ICT Macro Times: The Inner Circle Trader (ICT) has taught that there are certain time sessions when the Interbank Price Delivery Algorithm (IPDA) is running a macro. The macro itself could be a repricing macro, a consolidation macro, etc. - this depends on where price currently is in relation to its draw. The times the macro is active do not change however, and are always the following (in New York local time): 8:50-9:10 (premarket macro) 9:50-10:10 (AM macro 1) 10:50-11:10 (AM macro 2) 11:50-12:10 (lunch macro) 13:10-13:40 (PM macro) 15:15-15:45 (final hour macro) Because these times are fixed, traders can anticipate a setup is likely to form in or around these sessions. Setups may involve sweeps of liquidity (highs/lows), repricing to inefficiencies (e.g., fair value gaps), breaker setups, etc. (The specific setup involved is beyond the scope of this script; this script is concerned with visually marking the time sessions only.) About this Script: The scope of this script is to visually identify the macro active time sessions. This script draws vertical lines to mark the start and end of the macro time sessions. Optionally, the user can use a background color for the macro session with or without the vertical lines. The user can also toggle on or off any of the macro sessions, if he or she is only interested in certain ones. The user also has the freedom to change the times of the macro sessions if he or she is interested in a different time. What makes this script unique is that it plots the macro time sessions after midnight for each day, before the real-time bar reaches the macro times. This is advantageous to the trader, as it gives the trader a visual cue that the macro times are approaching. When watching price it is easy to lose track of time, and the purpose of this script is to help the trader maintain where price is in relation to the macro time sessions in a simple, visual way.
Penunjuk Pine Script®
oleh Blu_Ju
DrNon_NASDAQ10Title: NASDAQ 10 Index with TOP 10 Securities Introduction: TradingView offers traders and investors a powerful platform for technical analysis and trading. One of its notable features is the ability to create custom indices based on the values of multiple individual securities. In this blog post, we will explore how to build a custom index with 10 securities in TradingView using Pine Script, the platform's proprietary programming language. Description: Custom indices allow market participants to track the performance of a specific group of securities, providing valuable insights into the collective performance of the chosen assets. By leveraging Pine Script, traders can easily develop and deploy custom indicators and strategies to build their own indices. The script provided focuses on creating a custom index with 10 securities. The selected securities include popular stocks such as AAPL (Apple Inc.), MSFT (Microsoft Corporation), GOOG (Alphabet Inc.), AMZN (Amazon.com Inc.), NVDA (NVIDIA Corporation), TSLA (Tesla Inc.), META (Facebook, Inc.), AVGO (Broadcom Inc.), PEP (PepsiCo, Inc.), and COST (Costco Wholesale Corporation). Using the security() function in Pine Script, we retrieve the closing prices of each individual security to ensure accurate data for the index calculation. The index value is then calculated by summing the closing prices of the 10 securities. This simple arithmetic operation captures the overall performance of the custom index. To visualize the index, we use the plot() function to display the index value on the chart. Traders can observe the custom index alongside other technical indicators or price action, aiding in decision-making and market analysis. By building a custom index with 10 securities in TradingView, traders gain a consolidated view of the performance of these chosen assets. This allows for easier tracking of sector trends, evaluation of specific strategies, and the ability to compare the performance of individual portfolios against the broader market. Conclusion: TradingView's Pine Script provides traders and investors with a flexible solution to build custom indices. By defining the 10 individual securities, calculating the index value, and plotting it on the chart, traders can monitor the collective performance of these chosen assets. Custom indices offer insights into sector performance, enable the evaluation of specific strategies, and provide a benchmark for comparing portfolio performance. By harnessing the power of custom indices in TradingView, traders can enhance their decision-making process and gain a competitive edge in the market.
Penunjuk Pine Script®
oleh DrNon
ICT Algorithmic Macro Tracker° (Open-Source) by toodegreesDescription: The ICT Algorithmic Macro Tracker° Indicator is a powerful tool designed to enhance your trading experience by clearly and efficiently plotting the known ICT Macro Times on your chart. Based on the teachings of the Inner Circle Trader , these Time windows correspond to periods when the Interbank Price Delivery Algorithm undergoes a series of checks ( Macros ) and is probable to move towards Liquidity. The indicator allows traders to visualize and analyze these crucial moments in NY Time: - 2:33-3:00 - 4:03-4:30 - 8:50-9:10 - 9:50-10:10 - 10:50-11:10 - 11:50-12:10 - 13:10-13:50 - 15:15-15:45 By providing a clean and clutter-free representation of ICT Macros, this indicator empowers traders to make more informed decisions, optimize and build their strategies based on Time. Massive shoutout to @reastruth for his ICT Macros Indicator , and for allowing to create one of my own, go check him out! Indicator Features: – Track ongoing ICT Macros to aid your Live analysis. - Gain valuable insights by hovering over the plotted ICT Macros to reveal tooltips with interval information. – Plot the ICT Macros in one of two ways: "On Chart": visualize ICT Macro timeframes directly on your chart, with automatic adjustments as Price moves. Pro Tip: toggle Projections to see exactly where Macros begin and end without difficulty. "New Pane": move the indicator two a New Pane to see both Live and Upcoming Macro events with ease in a dedicated section Pro Tip: this section can be collapsed by double-clicking on the main chart, allowing for seamless trading preparation. This indicator is available only on the TradingView platform. ⚠️ Open Source ⚠️ Coders and TV users are authorized to copy this code base, but a paid distribution is prohibited. A mention to the original author is expected, and appreciated. ⚠️ Terms and Conditions ⚠️ This financial tool is for educational purposes only and not financial advice. Users assume responsibility for decisions made based on the tool's information. Past performance doesn't guarantee future results. By using this tool, users agree to these terms.
Penunjuk Pine Script®
oleh toodegrees
77
ICT Macros by CryptoforICT Macros by Cryptofor Time periods in which the price is most volatile. At this time, the algorithm is programmed to attack liquidity or fill a significant FVG from which the OF can continue. Plots of macros: 1. London Macros: 02:33 - 03:00 04:03 - 04:30 2. New York AM Macros: 08:50 - 09:10 09:50 - 10:10 10:50 - 11:10 3. New York Lunch + PM Macros: 11:50 - 12:10 13:10 - 13:40 15:15 - 15:45 Features: Flexible line settings Flexible text settings Display data for all time or for the last 24 hours Switch for each type of macro Macro background color settings
Penunjuk Pine Script®
oleh Anton_Zhezherun
15
Machine Learning: kNN (New Approach)Description: kNN is a very robust and simple method for data classification and prediction. It is very effective if the training data is large. However, it is distinguished by difficulty at determining its main parameter, K (a number of nearest neighbors), beforehand. The computation cost is also quite high because we need to compute distance of each instance to all training samples. Nevertheless, in algorithmic trading KNN is reported to perform on a par with such techniques as SVM and Random Forest. It is also widely used in the area of data science. The input data is just a long series of prices over time without any particular features. The value to be predicted is just the next bar's price. The way that this problem is solved for both nearest neighbor techniques and for some other types of prediction algorithms is to create training records by taking, for instance, 10 consecutive prices and using the first 9 as predictor values and the 10th as the prediction value. Doing this way, given 100 data points in your time series you could create 10 different training records. It's possible to create even more training records than 10 by creating a new record starting at every data point. For instance, you could take the first 10 data points and create a record. Then you could take the 10 consecutive data points starting at the second data point, the 10 consecutive data points starting at the third data point, etc. By default, shown are only 10 initial data points as predictor values and the 6th as the prediction value. Here is a step-by-step workthrough on how to compute K nearest neighbors (KNN) algorithm for quantitative data: 1. Determine parameter K = number of nearest neighbors. 2. Calculate the distance between the instance and all the training samples. As we are dealing with one-dimensional distance, we simply take absolute value from the instance to value of x (| x – v |). 3. Rank the distance and determine nearest neighbors based on the K'th minimum distance. 4. Gather the values of the nearest neighbors. 5. Use average of nearest neighbors as the prediction value of the instance. The original logic of the algorithm was slightly modified, and as a result at approx. N=17 the resulting curve nicely approximates that of the sma(20). See the description below. Beside the sma-like MA this algorithm also gives you a hint on the direction of the next bar move.
Penunjuk Pine Script®
oleh capissimo
40
CDC ActionZone BF for ETHUSD-1D © PRoSkYNeT-EE Based on improvements from "Kitti-Playbook Action Zone V.4.2.0.3 for Stock Market" Based on improvements from "CDC Action Zone V3 2020 by piriya33" Based on Triple MACD crossover between 9/15, 21/28, 15/28 for filter error signal (noise) from CDC ActionZone V3 MACDs generated from the execution of millions of times in the "Brute Force Algorithm" to backtest data from the past 5 years. ( 2017-08-21 to 2022-08-01 ) Released 2022-08-01 ***** The indicator is used in the ETHUSD 1 Day period ONLY ***** Recommended Stop Loss : -4 % (execute stop Loss after candlestick has been closed) Backtest Result ( Start $100 ) Winrate 63 % (Win:12, Loss:7, Total:19) Live Days 1,806 days B : Buy S : Sell SL : Stop Loss 2022-07-19 07 - 1,542 : B 6.971 ETH 2022-04-13 07 - 3,118 : S 8.98 % $10,750 12,7,19 63 % 2022-03-20 07 - 2,861 : B 3.448 ETH 2021-12-03 07 - 4,216 : SL -8.94 % $9,864 11,7,18 61 % 2021-11-30 07 - 4,630 : B 2.340 ETH 2021-11-18 07 - 3,997 : S 13.71 % $10,832 11,6,17 65 % 2021-10-05 07 - 3,515 : B 2.710 ETH 2021-09-20 07 - 2,977 : S 29.38 % $9,526 10,6,16 63 % 2021-07-28 07 - 2,301 : B 3.200 ETH 2021-05-20 07 - 2,769 : S 50.49 % $7,363 9,6,15 60 % 2021-03-30 07 - 1,840 : B 2.659 ETH 2021-03-22 07 - 1,681 : SL -8.29 % $4,893 8,6,14 57 % 2021-03-08 07 - 1,833 : B 2.911 ETH 2021-02-26 07 - 1,445 : S 279.27 % $5,335 8,5,13 62 % 2020-10-13 07 - 381 : B 3.692 ETH 2020-09-05 07 - 335 : S 38.43 % $1,407 7,5,12 58 % 2020-07-06 07 - 242 : B 4.199 ETH 2020-06-27 07 - 221 : S 28.49 % $1,016 6,5,11 55 % 2020-04-16 07 - 172 : B 4.598 ETH 2020-02-29 07 - 217 : S 47.62 % $791 5,5,10 50 % 2020-01-12 07 - 147 : B 3.644 ETH 2019-11-18 07 - 178 : S -2.73 % $536 4,5,9 44 % 2019-11-01 07 - 183 : B 3.010 ETH 2019-09-23 07 - 201 : SL -4.29 % $551 4,4,8 50 % 2019-09-18 07 - 210 : B 2.740 ETH 2019-07-12 07 - 275 : S 63.69 % $575 4,3,7 57 % 2019-05-03 07 - 168 : B 2.093 ETH 2019-04-28 07 - 158 : S 29.51 % $352 3,3,6 50 % 2019-02-15 07 - 122 : B 2.225 ETH 2019-01-10 07 - 125 : SL -6.02 % $271 2,3,5 40 % 2018-12-29 07 - 133 : B 2.172 ETH 2018-05-22 07 - 641 : S 5.95 % $289 2,2,4 50 % 2018-04-21 07 - 605 : B 0.451 ETH 2018-02-02 07 - 922 : S 197.42 % $273 1,2,3 33 % 2017-11-11 07 - 310 : B 0.296 ETH 2017-10-09 07 - 297 : SL -4.50 % $92 0,2,2 0 % 2017-10-07 07 - 311 : B 0.309 ETH 2017-08-22 07 - 310 : SL -4.02 % $96 0,1,1 0 % 2017-08-21 07 - 323 : B 0.310 ETH
Penunjuk Pine Script®
oleh ProskynetExtremeEdition
CDOI ProfileCumulative Delta of Open Interest Profile This script lets you visualize where there were Open Interest build-ups and discharges on a price basis. It only supports pairs where TradingView added the appropriate Open Interest data (at the time of posting that is only Binance and Kraken perpetual contracts) The script uses my own functions to poll lower timeframe data and compile it into a higher timeframe profile. And as such, it needs some tweaking to adjust it to your timeframe until Tradingview lets me do it codewise (hopefully one day) The instructions for using the Indicators are as follows: Condition: How often a new profile should be generated Sampling Rate and 1/Nth of the TF: These have to be calculated together to have a product that should correspond to the current timeframe in minutes. A few examples below ----------- Sampling - 1Nth of the TF 5 min ------- 5 --------------- 1 10 min ------ 10 ------------- 1 15 min ------ 5 --------------- 3 20 min ------ 10 ------------- 2 30 min ------ 10 -------------- 3 45 min ------- 9 -------------- 5 1 hour ------- 10 ------------- 6 4 hours ----- 10 -------------- 24 1 day -------- 10 ------------- 144 Transparency: This one is pretty self-explanatory but only applies to the Profile bars % change for a bar: This one indicates how precise each bar will be, but if you go too low the script becomes too heavy and stop running Bar limit: Limits the amounts of bars the script is run for (ae for the last 1000 bars). Lower = faster loading, too high will stop running UI color: Color and transparency of the center line and the box surrounding the whole profile
Penunjuk Pine Script®
oleh Dereek69
20
EMA with time-interval dependant visiblity settingThis scrip exposes 4 Exponential Moving Average (EMA) indicators which their visibility can be set to a daily or weekly time-frame (aka intervals). Based on your current chart time-frame, the matching EMA indicators come on and off. This helps to have meaningful EMAs relevant to your time internal. In a traditional 10 EMA indicates a plotted indicator would bear a meaning of a 10 day EMA when in daily and 10 week EMA when in weekly chart which may or may not be useful as some who for example only require a 10 week EMA for thier analysis and wouldn't want to cloud a daily chart with an EMA which won't resemble a valuable output for this particular user. With EMA+, you can choose to see the 10 week EMA only when your chart is in the weekly time interval, so when switched to a daily interval a 10x EMA is not shown anymore. If you prefer to see a 10 week EMA and a 21 day EMA on the other hand, you will only have 1 EMA shown when in weekly mode which is a 10 week EMA and one EMA when in daily mode with is 21 day EMA.
Penunjuk Pine Script®
oleh Mehradzie
7
Cowabunga System from babypips.comPlease do read the information below as well, especially if you are new to Forex. The Cowabunga System is a type of Mechanical Trading System that filters trades based on the trend of the 4 hour chart with EMAs and some other familiar indicators (RSI, Stochastics and MACD) while entering trades base on 15 minute chart. I have coded (quite amateurishly) the basic system onto a 15 minute chart (the 4 hour settings are coded as well). The author says the system is to be traded off the 15 minute chart with the 4 hour chart only as a reference for trend direction. 4 Hour Chart Settings 5 EMA 10 EMA Stochastics (10,3,3) RSI (9) Then we move onto the 15 minute chart, where he gives us the trade entry rules. 15 Minute Chart Settings 5 EMA 10 EMA Stochastics (10,3,3) RSI (9) MACD (12,26,9) Entry Rules - long entry rules used, obviously reverse these for shorting. 1. EMA must cross above the 10 EMA. 2. RSI must be greater than 50 and not overbought. 3. Stochastic must be headed up and not be in overbought territory. 4. MACD histogram must go from negative to positive OR be negative and start to increase in value. What I did. 1. Set the RSI and Stochastic levels to avoid entries when they indicate overbought conditions for long and oversold conditions for short (80 and 20 levels). 2. Users can input specific times they want to backtest. 3. User's can configure profit targets, trailing stops and stops. Default is set it to was 100 pips profit target with a 40 pip trailing stop. (Note, when you are changing these values, please note that each pip is worth 10, so 100 pips is entered as 1000.) The Cowabunga System from babypips.com is another popular and active system. The author, Pip Surfer, continues to post wins and losses with this system. It shows there is a lot of honesty and integrity with this system if the author keeps up to date even 10 years later and is not afraid of sharing the times the system causes losses. As an example of this, here is post he shared just last week . It's almost like a journal, he gives specific times and reasons why he entered, lets the readers know when he was stopped out, etc. I think that what he does is equally important as his system. To read more about this system, visit the thread on babypips.com, click here.
Strategi Pine Script®
oleh itsjustanalysis
5