Intended as an educational starting point for programmers, it enters trades when the price crosses specific standard deviation bands while RSI confirms overbought or oversold conditions. The robot manages exits through dynamic price levels derived from separate Bollinger Band standard deviations for profit and loss targets. It includes automated lot sizing based on a fixed percentage of account risk per trade. The README notes it is a demo for backtesting and learning.
Read from BBStrat1.mq4. Defaults are the author's; change them in the EA's Inputs tab.
Name
Type
Default
Description
bbPeriod
int
50
bandStdEntry
int
2
bandStdProfitExit
int
1
bandStdLossExit
int
4
rsiPeriod
int
14
riskPerTrade
double
0.02
rsiLowerLevel
int
30
rsiUpperLevel
int
70
How to install it
1Download the sourceUse "Download source (.zip)" above, or clone Nabeel-etx/AlgoTrdingMT4 from GitHub, and unzip it.
2Open the data folderIn MetaTrader choose File, then Open Data Folder, and go to MQL4/Experts.
3Copy the filesCopy the .mq4 file into Experts, and any .mqh files into the Include folder the code expects.
4Compile in MetaEditorOpen the file in MetaEditor and press Compile. Fix any missing includes the compiler reports.
5Test before you tradeRun it in the Strategy Tester, then attach it to a demo chart and allow algorithmic trading.
Third-party code. ForexR did not write, test or endorse this EA, and the summary above was generated automatically from its README and code. ForexR lists only repositories with readable source code and never hosts files. Read the code, backtest it and use a demo account first; automated trading can lose money quickly.
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