Roffild Library provides functional implementations for machine learning models, specifically Multilayer Perceptron neural networks and Random Forests via the AlgLib library. The project facilitates advanced workflows including Python integration for TensorFlow or PyTorch, and Apache Spark for big data processing on AWS. As a framework, it includes utility classes for logging, serialization, and array management. The provided expert advisors focus on model training and validation rather than out-of-the-box trade management or specific risk controls.
Integration with Alglib for neural networks and random forests
Python DLL bridge for TensorFlow and PyTorch integration
Apache Spark and AWS cloud support for large scale data
Comprehensive logging and data serialization utilities
Read from Alglib_MultilayerPerceptron.mq5. Defaults are the author's; change them in the EA's Inputs tab.
Name
Type
Default
Description
File_Num
int
0
Validation_Type
ENUM_VALIDATION
VALIDATION_KFOLD
MLPCreate
ENUM_MLPCREATE
MLPCREATE_N
MLP Create
Hidden_1
uint
0
Hidden_2
uint
0
Activ_A
double
0
Activ_A for MLPCreateR
Activ_B
double
0
Activ_B for MLPCreateB or MLPCreateR
Activ_D
ENUM_ACTIV_D
ACTIV_D_PLUS
Activ_D for MLPCreateB
Decay
double
0.001
Decay_Pow
double
1
Restarts
uint
1
LBFGS
bool
true
L-BFGS
Show all 22 inputs
Name
Type
Default
Description
WStep
double
0.01
WStep_Pow
double
1
MaxIts
uint
5
FoldsCount
uint
2
FoldsCount
z___
ENUM_NOTHING
โ
Else
Random_Index_Inputs
bool
false
Tester_Repeat
int
3
Tester_Result_Multi
double
100
Tester_Report
bool
true
Tester_Show_Incorrect
bool
false
How to install it
1Download the sourceUse "Download source (.zip)" above, or clone Roffild/RoffildLibrary 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, 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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