The robot calculates a weighted signal value by processing Relative Strength Index data across multiple timeframes, specifically the fifteen-minute, thirty-minute, and one-hour charts. Users can manually configure four weight parameters to calibrate the neural calculation. The EA utilizes an ATR-based multiplier for trade management and supports fixed lot sizing. The repository lacks a README file, requiring users to optimize parameters through manual testing.
Single-layer perceptron neural network logic
Multi-timeframe analysis using M15, M30, and H1 RSI
Adjustable weight parameters for signal calibration
ATR-based volatility measurement for trade management
Read from Slime_Mold_RSI_v1.31_with_Tester.mq4. Defaults are the author's; change them in the EA's Inputs tab.
Name
Type
Default
Description
Lots
double
0.1
MagicNumber
int
0
x1
int
0
weight1
x2
int
0
weight2
x3
int
0
weight3
x4
int
0
weight4
atrMultiple
double
2.5
How to install it
1Download the sourceUse "Download source (.zip)" above, or clone Kei-Sanada/Slime_Mold_RSI 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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