The first approach identifies price deviations from the daily open, while the second targets retracements from specific daily range extensions. The robot manages multiple position types, including primary and extra orders, using an internal iteration label for identification. Risk control is implemented via percentage-based maximum loss settings for both buy-sell and reversal trade sets. The system operates as a day trading algorithm with automated entry and exit logic.
Read from Mix.mq4. Defaults are the author's; change them in the EA's Inputs tab.
Name
Type
Default
Description
iterationNumber
int
—
buySellMaxLossInPercent
double
—
reverseMaxLossInPercent
double
—
How to Install It
1Download the sourceUse "Download source (.zip)" above, or clone Peter-Novak/Mix 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.
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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