Falcon A is a MetaTrader 4 robot that utilizes a k-Nearest Neighbors (kNN) classification algorithm for pattern-based trading. It follows a model-based approach where the user must first generate historical data files through a training simulation in the Strategy Tester. The system calculates entry probabilities using
Trading robot · MT4
Qiita MLFX
This MetaTrader 4 expert advisor facilitates automated trading by connecting to Azure Machine Learning.
GitHub stars1
Forks1
Last update9 years ago11 Jan 2017
LicenceNone stated
Overview
Qiita MLFX primarily functions by collecting historical price data for the GBPJPY pair on the 15-minute timeframe and exporting it to local CSV files. The EA utilizes the shell32.dll library to execute external commands and bridge the gap between the trading platform and machine learning models. Trading execution is based on external predictions, with user-defined inputs for lot sizing and slippage. The provided documentation is minimal and relies on external web resources for setup instructions.
- Azure Machine Learning connectivity
- Automated CSV data exportation
- Shell32 DLL integration
- Hardcoded GBPJPY M15 strategy
Details
Author
MIJS-FX on GitHub
Type
Trading robot
Platform
MetaTrader 4 (MQL4)
Strategy
AI / machine learning
Markets
Forex
Timeframes
M15-H1
Risk profile
- Trades without a fixed stop loss
EA files
Source
Input parameters
Read from mlfx_v1_0.mq4. Defaults are the author's; change them in the EA's Inputs tab.
| Name | Type | Default | Description |
|---|---|---|---|
Magic | int | 5485 | |
MyLOT | double | — | |
MySlip | int | — | |
MySashiSa | double | — |
How to install it
- 1Download the sourceUse "Download source (.zip)" above, or clone MIJS-FX/qiita 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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