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Presenting an exceptional Intraday trading strategy here. This strategy leverages the RSI and ADX combination to identify Buy/Sell opportunities.

Contrary to conventional wisdom, we Buy when RSI crosses the upper limit and Sell when it crosses the lower limit. ADX serves as a trend identifier in our decision-making process. All positions are closed at the end of the day.

Explore more on AFL coding to create your personalized trading systems.

AFL Overview

 

ParameterValue
Preferred TimeframeIntraday 1 minute
Indicators UsedRSI(17), ADX(14)
Buy ConditionRSI(17) >= 75 AND ADX(14) > 25
Short ConditionRSI(17) <= 25 AND ADX(14) > 25
Sell ConditionSame as Short Condition OR Time >= 03:15 PM
Cover ConditionSame as Cover Condition OR Time >= 03:15 PM
Stop Loss0.5%
TargetsNo fixed target, Stop and reverse when AFL gives the opposite signal
Position Size150 (fixed) or 80% of equity (based on your risk appetite)
Initial Equity200,000
Brokerage50 per order
Margin10%
				
					//------------------------------------------------------
//
//  Formula Name:    Nifty Intraday Strategy using RSI and ADX
//  Website:         zerobrokerageclub.com
//------------------------------------------------------

_SECTION_BEGIN("Nifty Intraday Strategy");

SetTradeDelays( 1, 1, 1, 1 );
SetOption( "InitialEquity", 200000);
SetOption("FuturesMode" ,True);
SetOption("MinShares",1);
SetOption("CommissionMode",2);
SetOption("CommissionAmount",50);
SetOption("AccountMargin",10);
SetOption("RefreshWhenCompleted",True);
SetPositionSize(150,spsShares); //Use this for fixed position size
//SetPositionSize(80,spsPercentOfEquity); //Use this for position size as a percent of Equity
SetOption( "AllowPositionShrinking", True );
BuyPrice=Open;
SellPrice=Open;
ShortPrice=Open;
CoverPrice=Open;

SetChartOptions(0,chartShowArrows|chartShowDates);
_N(Title = StrFormat("{{NAME}} – {{INTERVAL}} {{DATE}} Open %g, Hi %g, Lo %g, Close %g (%.1f%%) {{VALUES}}", O, H, L, C, SelectedValue( ROC( C, 1 ) ) ));

Plot( Close, "Price", colorWhite, styleCandle );

RSIPeriods=17;
ADXPeriods=14;

Buy=RSI(RSIPeriods)>=75 AND ADX(ADXPeriods)>25;
Short=RSI(RSIPeriods)<=25 AND ADX(ADXPeriods)>25 ;

Buy=ExRem(Buy,Short);
Short=ExRem(Short,Buy);

Sell=Short OR TimeNum()==151500;
Cover=Buy OR TimeNum()==151500;

StopLoss=0.5;
ApplyStop(Type=0,Mode=1,Amount=StopLoss);

Plot( RSI(RSIPeriods), "RSI", color=colorBlue, ParamStyle( "Style", styleOwnScale) );
Plot( ADX(ADXPeriods), "ADX", color=colorRed, ParamStyle( "Style", styleOwnScale) );

/* Plot Buy and Sell Signal Arrows */
PlotShapes(IIf(Buy, shapeSquare, shapeNone),colorGreen, 0, L, Offset=-40);
PlotShapes(IIf(Buy, shapeSquare, shapeNone),colorLime, 0,L, Offset=-50);
PlotShapes(IIf(Buy, shapeUpArrow, shapeNone),colorWhite, 0,L, Offset=-45);
PlotShapes(IIf(Cover, shapeSquare, shapeNone),colorGreen, 0, L, Offset=-40);
PlotShapes(IIf(Cover, shapeSquare, shapeNone),colorLime, 0,L, Offset=-50);
PlotShapes(IIf(Cover, shapeUpArrow, shapeNone),colorWhite, 0,L, Offset=-45);
PlotShapes(IIf(Sell, shapeSquare, shapeNone),colorRed, 0, H, Offset=40);
PlotShapes(IIf(Sell, shapeSquare, shapeNone),colorOrange, 0,H, Offset=50);
PlotShapes(IIf(Sell, shapeDownArrow, shapeNone),colorWhite, 0,H, Offset=-45);
PlotShapes(IIf(Short, shapeSquare, shapeNone),colorRed, 0, H, Offset=40);
PlotShapes(IIf(Short, shapeSquare, shapeNone),colorOrange, 0,H, Offset=50);
PlotShapes(IIf(Short, shapeDownArrow, shapeNone),colorWhite, 0,H, Offset=-45);


_SECTION_END();
				
			

AFL Screenshot

Nifty-Intraday-Strategy

Backtest Report

Below is the backtest report for two different variations of this strategy. One employs a fixed position size of 150, while the other adjusts position size as a percentage of Equity. Notably, the second one outperforms the first, illustrating  The Magic of Compounding.

Can you calculate the Final capital for the second one? Give it a try!

Moral of the Story: Profitable strategies need not be complex or lengthy.

ParameterValue
Fixed Position SizePosition Size = 80% of Equity
Initial Capital200,000200,000
Final Capital1,439,280.4511,219,716,562.40
Backtest Period01-Jan-2008 to 22-03-201601-Jan-2008 to 22-03-2016
Timeframe1 Minute1 Minute
Net Profit %619.64%5,609,758.28%
Annual Return %27.10%277.59%
Number of Trades1,9131,913
Winning Trade %43.49%43.49%
Average Holding Period128.08 periods128.08 periods
Max Consecutive Losses1212
Max System % Drawdown-18.14%-31.51%
Max Trade % Drawdown-31.51%-44.43%

Download the detailed backtest report here.

Equity Curve

This strategy boasts a smooth and linear equity curve with minimal drawdowns. Take a look.

Equity-Curve_Nifty-Intraday

Additional Amibroker settings for backtesting

Visit Symbol–>Information to specify the lot size and margin requirement. The screenshot below illustrates a lot size of 75 and a margin requirement of 10% for NSE Nifty:

Symbol-Info_Nifty

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