Indicators

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27 Jan 2017
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It shows two rectangle on predifined time periods of a trading day. Download Demo / Buy: https://www.algodeveloper.com/23-extended-trading-hours
15 Jan 2017
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321
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This indicator recognize supply and demand zones on your chart and mark them with a rectangle shape, When price touched a zone it shows an alert window and then it removes that zone from your chart. You can change the style of rectangle lines to :  Dots,  DotsRare,  DotsVeryRare,  Lines,  LinesDots and Solid. The periods parameter is for scanning x amount of candles to identify the zones.   Version 1.1.0.0 Release Date : January 11, 2017 Added : Remove zones after x number of touches. Fixed : A Bug in removing touched zones   Download Demo / Buy: http://algodeveloper.com/1-supply-and-demand-zones    
11 Jan 2017
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2840
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2
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This indicator shows the current makret condition on histogram. Download : https://www.algodeveloper.com/19-market-regimes
01 Jan 2017
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287
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This is a simple indicator. It shows the PnL in %. I think it makes much more sense than a value, but cTrader hasn't implemented something that simple. Updated: It now also shows the PnL of the whole account.
19 Dec 2016
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434
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Final Version. This indicator displays the current and the previous D/W/M values as a TargetTree. Released: 07/12/2016 Latest update: 07/12/2016 Notifications: You can display the D/W/M values individually. Donate a winning trade with this indicator PayPal.Me:          paypal.me/MarioVerheye PayPal email:       mario.verheye@epost.ch Example:
by MaVe
07 Dec 2016
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375
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0
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It shows the three bar reversal candlestick pattern, The pattern signals have high accuracy and R:R.  Download : https://www.algodeveloper.com/15-three-bar-reversal-pattern
07 Dec 2016
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1101
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This indicator helps you to identify key breakout trading opportunities, It scans x amount of previous closed bars and check them if they were on a flat line type style and the latest closed bar broke them all or not also It has Bollinger bands indicator filter for getting only those breakout opportunities that came alongside with Bollinger bands squeeze setup. By default the amount of range size parameter is zero and it means that indicator not using this functionality but I recommend you to adjust that parameter value based on instrument you trade and it's time frame.   Download Demo / Buy: http://algodeveloper.com/3-breakout-candle​   Alert: With BBands Filter:   Without BBands Filter: With Range Pips specified: Without Range Pips: With Longer TF trend filer enabled:
07 Dec 2016
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2716
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3
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This indicator catches the reversals by using Bollinger bands and rejection candle, Whenever price touches one of the bands and form a rejection candle it shows a buy or sell signal.   Download Demo / Buy: http://algodeveloper.com/4-reversal-magic  
07 Dec 2016
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1067
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Code desined to help Trader easy to treder with EMA - STO - RSI - DMI index in 1 code. Red Point for STO Index, Yellow Point for EMA Index, Purple Point for RSI Index, DMI Point for DMI Index. Include Open Week Price line and Open Month Price Line. using System; using cAlgo.API; using cAlgo.API.Internals; using cAlgo.API.Indicators; using cAlgo.Indicators; namespace cAlgo { [Indicator(IsOverlay = true, TimeZone = TimeZones.UTC, AccessRights = AccessRights.None)] public class WeeklyTradingSignal : Indicator { //EMASignal [Parameter("LongEMA", DefaultValue = 100)] public int LongEMA { get; set; } [Parameter("ShortEMA", DefaultValue = 5)] public int ShortEMA { get; set; } //ADXSignal [Parameter("ADXPeriod", DefaultValue = 10)] public int ADXPeriod { get; set; } //RSISignal [Parameter("RSIPeriod", DefaultValue = 14)] public int RSIPeriod { get; set; } //STOSignal [Parameter("STOKValue", DefaultValue = 9)] public int STOKValue { get; set; } [Parameter("STODValue", DefaultValue = 3)] public int STODValue { get; set; } [Parameter("STOSlow", DefaultValue = 2)] public int STOSlow { get; set; } [Output("ADX Point", Color = Colors.White, PlotType = PlotType.Points, Thickness = 5)] public IndicatorDataSeries ADXPoint { get; set; } [Output("EMA point", Color = Colors.Yellow, PlotType = PlotType.Points, Thickness = 5)] public IndicatorDataSeries EMAPoint { get; set; } [Output("RSI Down Point", Color = Colors.Purple, PlotType = PlotType.Points, Thickness = 5)] public IndicatorDataSeries RSIPoint { get; set; } [Output("STO Point", Color = Colors.Red, PlotType = PlotType.Points, Thickness = 5)] public IndicatorDataSeries STOPoint { get; set; } private ExponentialMovingAverage EMAs, EMAl; private RelativeStrengthIndex rsi; private MarketSeries DailySource, WeeklySource, MonthlySource; private DirectionalMovementSystem ADX; private ExponentialMovingAverage ema10; private ExponentialMovingAverage ema20; private ExponentialMovingAverage ema50; private ExponentialMovingAverage ema200; private StochasticOscillator STO; protected override void Initialize() { DailySource = MarketData.GetSeries(TimeFrame.Daily); WeeklySource = MarketData.GetSeries(TimeFrame.Weekly); MonthlySource = MarketData.GetSeries(TimeFrame.Monthly); ADX = Indicators.DirectionalMovementSystem(ADXPeriod); rsi = Indicators.RelativeStrengthIndex(MarketSeries.Close, RSIPeriod); EMAs = Indicators.ExponentialMovingAverage(MarketSeries.Close, ShortEMA); EMAl = Indicators.ExponentialMovingAverage(MarketSeries.Close, LongEMA); ema10 = Indicators.ExponentialMovingAverage(DailySource.Close, 10); ema20 = Indicators.ExponentialMovingAverage(DailySource.Close, 20); ema50 = Indicators.ExponentialMovingAverage(DailySource.Close, 50); ema200 = Indicators.ExponentialMovingAverage(DailySource.Close, 200); STO = Indicators.StochasticOscillator(STOKValue, STOSlow, STODValue, MovingAverageType.Exponential); } public int CandleTick() { int results = -1; double OpenClose = MarketSeries.Close.Last(0) - MarketSeries.Open.Last(0); double HighLow = MarketSeries.High.Last(0) - MarketSeries.High.Last(0); double Open = MarketSeries.Open.Last(0); double Close = MarketSeries.Close.Last(0); double Median = MarketSeries.Median.Last(0); if ((OpenClose < HighLow / 3 && Open > Median && Close > Median) || (OpenClose > 0.7 * HighLow)) results = 0; else if ((OpenClose < HighLow / 3 && Open < Median && Close < Median) || (OpenClose > 0.7 * HighLow)) results = 1; return results; } public override void Calculate(int index) { //LongTrendSignal var StaticLongPos = StaticPosition.BottomLeft; string name = "Xu hướng dài hạn"; string LongResults; string DayOfWeek = DailySource.OpenTime.Last(0).DayOfWeek.ToString(); if (ema10.Result.Last(1) > ema20.Result.Last(1) && ema20.Result.Last(1) > ema50.Result.Last(1) && ema50.Result.Last(1) > ema200.Result.Last(1)) LongResults = "Long: Up"; else if (ema10.Result.Last(1) < ema20.Result.Last(1) && ema20.Result.Last(1) < ema50.Result.Last(1) && ema50.Result.Last(1) < ema200.Result.Last(1)) LongResults = "Long: Down"; else LongResults = "Long: Unknow"; //if (LongResults == "Long: Up" && ema10.Result.IsRising() && ema10.Result.Last(0) < MarketSeries.Low.Last(0)) //LongPoint[index] = MarketSeries.Low[index] - (Symbol.PipSize * 25); //else if (LongResults == "Long: Down" && ema10.Result.IsFalling() && ema10.Result.Last(0) > MarketSeries.High.Last(0)) //LongPoint[index] = MarketSeries.High[index] + (Symbol.PipSize * 25); //End //EMASignal string TF = TimeFrame.ToString(); int CandleSignal = CandleTick(); double EMA0 = EMAs.Result.Last(0) - EMAl.Result.Last(0); double EMA1 = EMAs.Result.Last(1) - EMAl.Result.Last(1); double EMA2 = EMAs.Result.Last(2) - EMAl.Result.Last(2); double EMA3 = EMAs.Result.Last(3) - EMAl.Result.Last(3); double EMA4 = EMAs.Result.Last(4) - EMAl.Result.Last(4); double EMA5 = EMAs.Result.Last(5) - EMAl.Result.Last(5); double EMA6 = EMAs.Result.Last(6) - EMAl.Result.Last(6); double EMA7 = EMAs.Result.Last(7) - EMAl.Result.Last(7); double AvgEMA0 = (EMA0 + EMA1 + EMA2) / 3; double AvgEMA1 = (EMA1 + EMA2 + EMA3) / 3; double AvgEMA2 = (EMA2 + EMA3 + EMA4) / 3; double AvgEMA3 = (EMA5 + EMA3 + EMA4) / 3; double DelEMA0 = EMA0 - AvgEMA0; double DelEMA1 = EMA1 - AvgEMA1; double DelEMA2 = EMA2 - AvgEMA2; double DelEMA3 = EMA3 - AvgEMA3; double EmaMin5 = EMAs.Result.Minimum(10); double EmaMax5 = EMAs.Result.Maximum(10); //Trường hợp cắt trên và dưới //if (EMA0 > AvgEMA0 && EMA1 < AvgEMA1 && EMA2 < AvgEMA2) //EMAPoint[index] = MarketSeries.Low[index] - (Symbol.PipSize * 10); //else if (EMA0 < AvgEMA0 && EMA1 > AvgEMA1 && EMA2 > AvgEMA2) //EMAPoint[index] = MarketSeries.High[index] + (Symbol.PipSize * 10); // Trường hợp tạo đỉnh và đáy if (EMA0 > AvgEMA0 && EMA1 < AvgEMA1 && EMA0 > EMA1 && EMA1 <= EMA2 && EMA2 <= EMA3) //&& EMA3 <= EMA4) // && CandleSignal == 0) EMAPoint[index] = MarketSeries.Low[index] - (Symbol.PipSize * 10); else if (EMA0 < AvgEMA0 && EMA1 > AvgEMA1 && EMA0 < EMA1 && EMA1 >= EMA2 && EMA2 >= EMA3) // && EMA3 >= EMA4) //&& CandleSignal == 1) EMAPoint[index] = MarketSeries.High[index] + (Symbol.PipSize * 10); //End //RSISignal double RSIvalue0 = rsi.Result.Last(0); double RSIvalue1 = rsi.Result.Last(1); double RSIvalue2 = rsi.Result.Last(2); double RSIvalue3 = rsi.Result.Last(3); double RSIMin120 = rsi.Result.Minimum(120); double RSIMax120 = rsi.Result.Maximum(120); string RsiResults; if ((rsi.Result.HasCrossedAbove(30, 0) && RSIvalue1 < 30 && RSIvalue2 < 30 && RSIvalue3 < 30)) //(RSIMin120 >= RSIvalue1 && RSIvalue0 >= RSIvalue1 && RSIvalue1 < RSIvalue2 && RSIvalue2 < RSIvalue3) || RSIPoint[index] = MarketSeries.Low[index] - (Symbol.PipSize * 20); else if ((rsi.Result.HasCrossedBelow(70, 0) && RSIvalue1 > 70 && RSIvalue2 > 70 && RSIvalue3 > 70)) //(RSIMax120 <= RSIvalue1 && RSIvalue0 <= RSIvalue1 && RSIvalue1 > RSIvalue2 && RSIvalue2 > RSIvalue3) || RSIPoint[index] = MarketSeries.High[index] + (Symbol.PipSize * 20); if (29 <= rsi.Result.Last(0) && rsi.Result.Last(0) < 30 && RSIvalue1 < 30 && RSIvalue2 < 30 && RSIvalue3 < 30) RsiResults = "RSI: Sell Signal Nearly Appear"; else if (70 < rsi.Result.Last(0) && rsi.Result.Last(0) <= 71 && RSIvalue1 > 70 && RSIvalue2 > 70 && RSIvalue3 > 70) RsiResults = "RSI: Buy Signal Nearly Appear"; else RsiResults = ""; //End //ADXSignal double DIMinus1 = ADX.DIMinus.Last(1); double DIMinus2 = ADX.DIMinus.Last(2); double DIMinus3 = ADX.DIMinus.Last(3); double DIPlus1 = ADX.DIPlus.Last(1); double DIPlus2 = ADX.DIPlus.Last(2); double DIPlus3 = ADX.DIPlus.Last(3); string AdxResults; if (ADX.DIPlus.HasCrossedAbove(ADX.DIMinus, 0) && DIPlus1 < DIMinus1 && DIPlus2 < DIMinus2 && DIPlus3 < DIMinus3) ADXPoint[index] = MarketSeries.Low[index] - (Symbol.PipSize * 30); else if (ADX.DIPlus.HasCrossedBelow(ADX.DIMinus, 0) && DIPlus1 > DIMinus1 && DIPlus2 > DIMinus2 && DIPlus3 > DIMinus3) ADXPoint[index] = MarketSeries.High[index] + (Symbol.PipSize * 30); if (Math.Abs(ADX.DIPlus.Last(0) - ADX.DIMinus.Last(0)) <= 1 && ADX.DIPlus.Last(0) > ADX.DIMinus.Last(0) && DIPlus1 < DIMinus1 && DIPlus2 < DIMinus2 && DIPlus3 < DIMinus3) AdxResults = "ADX: Sell Signal Nearly Appear"; else if (Math.Abs(ADX.DIPlus.Last(0) - ADX.DIMinus.Last(0)) <= 1 && ADX.DIPlus.Last(0) < ADX.DIMinus.Last(0) && DIPlus1 > DIMinus1 && DIPlus2 > DIMinus2 && DIPlus3 > DIMinus3) AdxResults = "ADX: Buy Signal Nearly Appear"; else AdxResults = ""; //End //StoSignal double KValue0 = STO.PercentK.Last(0); double KValue1 = STO.PercentK.Last(1); double KValue2 = STO.PercentK.Last(2); double KValue3 = STO.PercentK.Last(3); double KValue4 = STO.PercentK.Last(4); double KValue5 = STO.PercentK.Last(5); double KValue6 = STO.PercentK.Last(6); double DValue0 = STO.PercentD.Last(0); double DValue1 = STO.PercentD.Last(1); double DValue2 = STO.PercentD.Last(2); double DValue3 = STO.PercentD.Last(3); //Trường hợp giao nhau //if (STO.PercentK.HasCrossedAbove(STO.PercentD, 0) && KValue1 < DValue1 && KValue2 < DValue2 && KValue3 < DValue3) //STOPoint[index] = MarketSeries.Low[index] - (Symbol.PipSize * 40); //else if (STO.PercentK.HasCrossedBelow(STO.PercentD, 0) && KValue1 > DValue1 && KValue2 > DValue2 && KValue3 > DValue3) //STOPoint[index] = MarketSeries.High[index] + (Symbol.PipSize * 40); //Trường hợp đỉnh đáy if (KValue0 > DValue0 && KValue0 > KValue1 && KValue1 < KValue2 && KValue2 < KValue3 && KValue3 < KValue4) //&& KValue4 < KValue5 && KValue5 < KValue6) STOPoint[index] = MarketSeries.Low[index] - (Symbol.PipSize * 40); else if (KValue0 < DValue0 && KValue0 < KValue1 && KValue1 > KValue2 && KValue2 > KValue3 && KValue3 > KValue4) //&& KValue4 > KValue5 && KValue5 > KValue6) STOPoint[index] = MarketSeries.High[index] + (Symbol.PipSize * 40); //End //OpenWeek for (int i = 0; i < 120; i++) { DateTime startOfMonth = MonthlySource.OpenTime.Last(i).Date.AddDays(0); DateTime endOfMonth = startOfMonth.AddMonths(1); DateTime StartOfWeek = WeeklySource.OpenTime.Last(i).Date.AddDays(0); DateTime endOfWeek = StartOfWeek.AddDays(7); DateTime StartOfDay = DailySource.OpenTime.Last(i).Date.AddDays(0); DateTime endOfDay = StartOfDay.AddHours(24); var MonthlyOpen = MonthlySource.Open.Last(i); var WeeklyOpen = WeeklySource.Open.Last(i); var DailyOpen = DailySource.Open.Last(i); ChartObjects.DrawLine("OpenWeek" + i, StartOfWeek, WeeklyOpen, endOfWeek, WeeklyOpen, Colors.Aqua, 1); ChartObjects.DrawLine("OpenMonth" + i, startOfMonth, MonthlyOpen, endOfMonth, MonthlyOpen, Colors.SlateGray, 2); } //End ChartObjects.DrawText(name, LongResults + "\n" + RsiResults + "\n" + AdxResults, StaticLongPos, Colors.Red); } } }  
29 Nov 2016
Downloads
498
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0
Rating
5
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using System; using cAlgo.API; namespace cAlgo.Indicators { [Indicator(IsOverlay = true, AccessRights = AccessRights.None)] public class PivotPointsIntraDay : Indicator { private double _close; private double _higher; private double _lower; #region Output [Output("Pivot", LineStyle = LineStyle.Lines)] public IndicatorDataSeries Pivot { get; set; } [Output("R1", LineStyle = LineStyle.Lines, Color = Colors.Blue)] public IndicatorDataSeries R1 { get; set; } [Output("R2", LineStyle = LineStyle.Lines, Color = Colors.Blue)] public IndicatorDataSeries R2 { get; set; } [Output("R3", LineStyle = LineStyle.Lines, Color = Colors.Blue)] public IndicatorDataSeries R3 { get; set; } [Output("S1", LineStyle = LineStyle.Lines, Color = Colors.Red)] public IndicatorDataSeries S1 { get; set; } [Output("S2", LineStyle = LineStyle.Lines, Color = Colors.Red)] public IndicatorDataSeries S2 { get; set; } [Output("S3", PlotType = PlotType.Line, LineStyle = LineStyle.Lines, Color = Colors.Red)] public IndicatorDataSeries S3 { get; set; } #endregion #region Input Parameters [Parameter("Number of Pivots", DefaultValue = 3, MinValue = 1, MaxValue = 3)] public int NoPiv { get; set; } [Parameter("DrawingWidth", DefaultValue = 50, MaxValue = 100)] public int DrawingWidth { get; set; } #endregion public override void Calculate(int index) { DateTime currentOpenTime = MarketSeries.OpenTime[index]; DateTime previousOpenTime = MarketSeries.OpenTime[index - 1]; DateTime today = DateTime.Now; DateTime yesterday = DateTime.Now.AddDays(-1); // Initialize High & Low if (currentOpenTime.Day == yesterday.Day && previousOpenTime.Day != yesterday.Day) { _higher = MarketSeries.High[index]; _lower = MarketSeries.Low[index]; } // Calculate High & Low of previous day if ((currentOpenTime.Day == yesterday.Day && today.DayOfWeek != DayOfWeek.Monday) || (today.DayOfWeek == DayOfWeek.Monday && currentOpenTime.DayOfYear == today.AddDays(-3).Day)) { if (MarketSeries.High[index] > _higher) { _higher = MarketSeries.High[index]; } if (MarketSeries.Low[index] < _lower) { _lower = MarketSeries.Low[index]; } } // Set Close of previous day - Close of Last Bar of prevous Day if (previousOpenTime.Day == yesterday.Day && currentOpenTime.Day == today.Day) { _close = MarketSeries.Close[index - 1]; } // Only show output in todays timeframe if (currentOpenTime.Date != today.Date) return; // Calculate output Pivot[index] = (_higher + _lower + _close)/3; R1[index] = 2*Pivot[index] - _lower; S1[index] = 2*Pivot[index] - _higher; // Display additional pivots according to input if (NoPiv >= 2) { R2[index] = Pivot[index] + (_higher - _lower); S2[index] = Pivot[index] - (_higher - _lower); } if (NoPiv >= 3) { R3[index] = _higher + 2*(Pivot[index] - _lower); S3[index] = _lower - 2*(_higher - Pivot[index]); } } } }  
12 Nov 2016
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1047
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Description: Plots custom period separator.   Updates: 21/06/2016 - Version 1.0 Released.   Screenshot:   Notes: Works on tick charts as well.   Make a Donation: If you like my work and effort then please consider to make a kind donation thru PayPal or any Credit Card via this link.
by tmc.
02 Nov 2016
Downloads
671
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5
Rating
4
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