The robot specifically searches for hunted swing points by evaluating candle shadow lengths relative to body size and checking historical price swings. It incorporates an Exponential Moving Average to filter entries and employs a percentage-based risk model for position sizing. The logic appears to focus on liquidity sweeps and subsequent pullbacks. The repository provides the source code but lacks a descriptive README or documentation for configuration.
Read from HuntLevelEA.mq5. Defaults are the author's; change them in the EA's Inputs tab.
Name
Type
Default
Description
debug
bool
false
Minimum_Shadow_Points
int
1
Minimum_Shadow_Per_Body
double
1.5
Minimum_Gap_Point
int
5
Minimum_Hunted_Swings_Check_End
int
50
Minimum_Hunted_Swings_Check_Start
int
5
Minimum_HuntLevel_To_Pull_Back_Candles
int
50
EMA_PERIOD
int
7
Risk_Percent
double
5
How to install it
1Download the sourceUse "Download source (.zip)" above, or clone a-forghani-y79/HuntLevelProject from GitHub, and unzip it.
2Open the data folderIn MetaTrader choose File, then Open Data Folder, and go to MQL5/Experts.
3Copy the filesCopy the .mq5 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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