188 lines
7.0 KiB
C#
188 lines
7.0 KiB
C#
#region Using declarations
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using System;
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using System.Collections.Generic;
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using System.ComponentModel;
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using System.ComponentModel.DataAnnotations;
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using System.Linq;
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using System.Text;
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using System.Threading.Tasks;
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using System.Windows;
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using System.Windows.Input;
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using System.Windows.Media;
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using System.Xml.Serialization;
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using NinjaTrader.Cbi;
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using NinjaTrader.Gui;
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using NinjaTrader.Gui.Chart;
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using NinjaTrader.Gui.SuperDom;
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using NinjaTrader.Gui.Tools;
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using NinjaTrader.Data;
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using NinjaTrader.NinjaScript;
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using NinjaTrader.Core.FloatingPoint;
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using NinjaTrader.NinjaScript.DrawingTools;
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#endregion
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//This namespace holds Indicators in this folder and is required. Do not change it.
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namespace NinjaTrader.NinjaScript.Indicators
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{
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public class LinearRegression : Indicator
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{
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private double sumX, sumY, sumXY, sumX2, averageY, slope, intercept;
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protected override void OnStateChange()
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{
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if (State == State.SetDefaults)
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{
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Description = @"Colors bars according to closes above / below a linear regression.";
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Name = "Linear Regression";
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Calculate = Calculate.OnPriceChange;
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IsOverlay = true;
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ScaleJustification = ScaleJustification.Right;
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IsSuspendedWhileInactive = false;
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RegressionPeriod = 20;
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AboveThresholdColor = Brushes.LimeGreen;
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BelowThresholdColor = Brushes.Red;
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}
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}
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protected override void OnBarUpdate()
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{
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if (CurrentBar < RegressionPeriod)
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return;
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if (IsFirstTickOfBar)
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{
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CalculateLinearRegression();
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double previousClose = Close[1];
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double linearRegValue = intercept + slope * RegressionPeriod;
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if (previousClose > linearRegValue)
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{
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BarBrushes[0] = AboveThresholdColor;
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CandleOutlineBrushes[0] = AboveThresholdColor;
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}
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else if (previousClose < linearRegValue)
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{
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BarBrushes[0] = BelowThresholdColor;
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CandleOutlineBrushes[0] = BelowThresholdColor;
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}
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else
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{
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// Handle the rare occasion where the close is equivalent to the linear regression at this bar.
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BarBrushes[0] = BarBrushes[1];
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CandleOutlineBrushes[0] = CandleOutlineBrushes[1];
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}
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}
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}
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private void CalculateLinearRegression()
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{
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sumX = sumY = sumXY = sumX2 = 0;
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for (int i = 1; i < (RegressionPeriod + 1); i++)
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{
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sumX += i;
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sumY += Close[i];
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sumXY += i * Close[i];
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sumX2 += i * i;
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}
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double n = RegressionPeriod;
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slope = (n * sumXY - sumX * sumY) / (n * sumX2 - sumX * sumX);
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averageY = sumY / n;
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intercept = averageY - slope * (sumX / n);
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}
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public override string DisplayName
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{
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get { return Name; }
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}
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[NinjaScriptProperty]
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[Range(1, int.MaxValue)]
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[Display(Name = "Regression Period", GroupName = "Linear Regression", Order = 1)]
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public int RegressionPeriod { get; set; }
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[NinjaScriptProperty]
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[XmlIgnore]
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[Display(Name = "Above Regression", GroupName = "Linear Regression", Order = 2)]
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public Brush AboveThresholdColor { get; set; }
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[Browsable(false)]
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public string AboveThresholdColorSerialization
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{
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get { return Serialize.BrushToString(AboveThresholdColor); }
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set { AboveThresholdColor = Serialize.StringToBrush(value); }
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}
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[NinjaScriptProperty]
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[XmlIgnore]
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[Display(Name = "Below Regression", GroupName = "Linear Regression", Order = 3)]
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public Brush BelowThresholdColor { get; set; }
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[Browsable(false)]
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public string BelowThresholdColorSerialization
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{
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get { return Serialize.BrushToString(BelowThresholdColor); }
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set { BelowThresholdColor = Serialize.StringToBrush(value); }
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}
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}
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}
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#region NinjaScript generated code. Neither change nor remove.
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namespace NinjaTrader.NinjaScript.Indicators
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{
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public partial class Indicator : NinjaTrader.Gui.NinjaScript.IndicatorRenderBase
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{
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private LinearRegression[] cacheLinearRegression;
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public LinearRegression LinearRegression(int regressionPeriod, Brush aboveThresholdColor, Brush belowThresholdColor)
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{
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return LinearRegression(Input, regressionPeriod, aboveThresholdColor, belowThresholdColor);
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}
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public LinearRegression LinearRegression(ISeries<double> input, int regressionPeriod, Brush aboveThresholdColor, Brush belowThresholdColor)
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{
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if (cacheLinearRegression != null)
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for (int idx = 0; idx < cacheLinearRegression.Length; idx++)
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if (cacheLinearRegression[idx] != null && cacheLinearRegression[idx].RegressionPeriod == regressionPeriod && cacheLinearRegression[idx].AboveThresholdColor == aboveThresholdColor && cacheLinearRegression[idx].BelowThresholdColor == belowThresholdColor && cacheLinearRegression[idx].EqualsInput(input))
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return cacheLinearRegression[idx];
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return CacheIndicator<LinearRegression>(new LinearRegression(){ RegressionPeriod = regressionPeriod, AboveThresholdColor = aboveThresholdColor, BelowThresholdColor = belowThresholdColor }, input, ref cacheLinearRegression);
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}
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}
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}
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namespace NinjaTrader.NinjaScript.MarketAnalyzerColumns
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{
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public partial class MarketAnalyzerColumn : MarketAnalyzerColumnBase
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{
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public Indicators.LinearRegression LinearRegression(int regressionPeriod, Brush aboveThresholdColor, Brush belowThresholdColor)
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{
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return indicator.LinearRegression(Input, regressionPeriod, aboveThresholdColor, belowThresholdColor);
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}
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public Indicators.LinearRegression LinearRegression(ISeries<double> input , int regressionPeriod, Brush aboveThresholdColor, Brush belowThresholdColor)
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{
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return indicator.LinearRegression(input, regressionPeriod, aboveThresholdColor, belowThresholdColor);
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}
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}
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}
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namespace NinjaTrader.NinjaScript.Strategies
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{
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public partial class Strategy : NinjaTrader.Gui.NinjaScript.StrategyRenderBase
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{
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public Indicators.LinearRegression LinearRegression(int regressionPeriod, Brush aboveThresholdColor, Brush belowThresholdColor)
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{
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return indicator.LinearRegression(Input, regressionPeriod, aboveThresholdColor, belowThresholdColor);
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}
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public Indicators.LinearRegression LinearRegression(ISeries<double> input , int regressionPeriod, Brush aboveThresholdColor, Brush belowThresholdColor)
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{
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return indicator.LinearRegression(input, regressionPeriod, aboveThresholdColor, belowThresholdColor);
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}
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}
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}
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#endregion
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