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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
Stat Euclidean Metric
Stat Euclidean Metric is a MetaTrader 4 expert advisor that utilizes pattern recognition via Euclidean distance calculations and k-nearest neighbor logic.
GitHub stars2
Forks0
Last update9 years ago1 May 2017
LicenceNone stated
Overview
The robot compares current market price vectors against historical data stored in external binary files to identify trade opportunities. It enters positions when calculated probabilities exceed user-defined buy or sell thresholds. Risk management is controlled through fixed stop loss and take profit parameters. The EA includes functionality to record successful patterns from order history into data files, although the repository lacks documentation and requires these external files to function.
- K-nearest neighbor pattern recognition
- External binary data file integration
- Adjustable entry probability thresholds
- Automated trade history recording
Details
Author
suvorovkonstantin on GitHub
Type
Trading robot
Platform
MetaTrader 4 (MQL4)
Strategy
AI / machine learning
Markets
Forex
Timeframes
Any timeframe
Risk profile
No grid, martingale or hedging logic was found in its code or README. That says nothing about how it performs: backtest it first.
Input parameters
Read from stat_euclidean_metric.mq4. Defaults are the author's; change them in the EA's Inputs tab.
| Name | Type | Default | Description |
|---|---|---|---|
Base | bool | false | |
buy_threshold | double | 0.6 | |
sell_threshold | double | 0.6 | |
invers_buy_threshold | double | 0.3 | |
invers_sell_threshold | double | 0.3 | |
fast | int | 12 | |
slow | int | 34 | |
tp | int | 40 | |
sl | int | 30 | |
close_orders | bool | false |
How to install it
- 1Download the sourceUse "Download source (.zip)" above, or clone suvorovkonstantin/MT4 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, 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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