The core functionality revolves around the Model Maker series, which uses statistical iterations to generate and test trading logic based on various input types and comparers. The system evaluates potential strategies using performance metrics such as the Sharpe ratio, profit factor, and recovery factor. Trade management includes optional fixed stop loss and take profit levels, though they are disabled by default. The repository provides a framework for algorithmic pattern discovery rather than traditional indicator-based trading.
Statistical model generation and testing
Performance filtering via Sharpe and recovery factors
Read from TemplateModelMaker.mq4. Defaults are the author's; change them in the EA's Inputs tab.
Name
Type
Default
Description
alg_vers
int
0
iterater
int
0
sell_iterater
int
0
exit_long_itrtr
int
0
exit_short_itrtr
int
0
use_sl
bool
false
StopLoss
int
0
TakeProfit
int
0
num_input_types
int
25
num_comparers
int
2
prof_factr_thresh
double
0
recov_factr_thresh
double
0
Show all 22 inputs
Name
Type
Default
Description
sharpe_thresh
double
0
score_thresh
double
0
num_trades_thresh
int
1
split_type
string
split_datetime
datetime
0
back_fore_ratio
double
0
write_to_file
bool
false
file_nameish
string
score_type
int
0
Lots
double
1
How to install it
1Download the sourceUse "Download source (.zip)" above, or clone vandyand/MetaTrader-EAs 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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