models

Candlestick models for GBP/JPY for 9 years – EA MetaTrader 4

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Candlestick models for GBP/JPY for 9 years - expert for MetaTrader 4
Author: Kontra Description: An Expert Advisor uses the Candlestick Models for trading: Blending Candlesticks (Engulfing) and Hammer(inverted Hammer)/Shooting Star models It has been tested at GBP/JPY, M15. The extended 9 year trading report can be found here. Parameters: extern int bTp = 100; // Profit for buy extern int sTp = 100; // Profit for … Read more

Fuzzy – library for developing fuzzy models – library MetaTrader 5

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Input parameters
Real Author Dmitry Kalyuzhny. FuzzyNet project website – Unzip the archive into the terminal_data_folder. The library codes are located in the <terminal_data_folder>\MQL5\Include\Math\FuzzyNet\ Sample test scripts can be found in the <terminal_data_folder>\MQL5\Scripts\FuzzyNet\ FuzzyNet is one of the most popular mathematical libraries for creating fuzzy models Fuzzy Logic Library for Microsoft.Net (FuzzyNet) is an easy to use … Read more

Fuzzy – library for developing fuzzy models – library MetaTrader 4

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Input parameters
Real Author Dmitry Kalyuzhny. FuzzyNet project website – Unzip the archive into the terminal_data_folder. The library codes are located in the <terminal_data_folder>\MQL4\Include\Math\FuzzyNet\ Sample test scripts can be found in the <terminal_data_folder>\MQL4\Scripts\FuzzyNet\ FuzzyNet is one of the most popular mathematical libraries for creating fuzzy models Fuzzy Logic Library for Microsoft.Net (FuzzyNet) is an easy to use … Read more

Information about the ONNX model’s inputs and outputs – script MetaTrader 5

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Information about the ONNX model's inputs and outputs - script for MetaTrader 5
The ONNX model run function requires the model’s input and output sizes to be defined. The sizes are specified via the OnnxSetInputShape and OnnxSetOutputShape functions, respectively. Not all models have fixed input and output data sizes. In these cases, the script will return -1.    OnnxTypeInfo type_info;    long input_count=OnnxGetInputCount(session_handle);    Print(“model has “,input_count,” input(s)”); … Read more