This repository is a collection of MetaTrader 5 expert advisors developed as early coding projects between 2021 and 2024. It includes multiple robots implementing varied strategies such as range breakouts, Donchian channels, Fibonacci retracements, and Bollinger Bands. The expert advisors are largely technical indicato
Collection · MT5
BotTrade ML
This MetaTrader 5 expert advisor collection focuses on machine learning strategies, specifically Lorentzian Classification and Nadaraya-Watson Kernel Regression.
High risk
GitHub stars1
Forks0
Last update2 days ago20 Sep 2026
LicenceMIT
Overview
BotTrade ML is primarily designed for trading gold on the H4 timeframe but offers configurable parameters for broader market use. The system supports both mean-reversion and breakout entry modes, utilizing an EMA 200 filter for trend alignment and a session-based time filter. Risk management is handled through fixed or dynamic stop losses, target risk-reward ratios, and optional breakeven or trailing stop functions. It includes specialized tools for VIX mean reversion and external LINE alerts.
- Lorentzian Distance k-NN classification model
- Nadaraya-Watson Kernel Regression algorithm
- EMA 200 trend and time session filters
- Adaptive ATR-scaled bandwidth calculation
- Integrated LINE messenger notification system
Details
Author
soemsri on GitHub
Type
Collection
Platform
MetaTrader 5 (MQL5)
Strategy
AI / machine learning, Mean reversion, Breakout, Trend following, Grid
Markets
Gold, Forex
Timeframes
H4 and above
Risk profile
- Opens a grid of orders: exposure builds up in a trend
EA files
Input parameters
Read from Uptrick_ML_Kernel_Trading_EA.mq5. Defaults are the author's; change them in the EA's Inputs tab.
| Name | Type | Default | Description |
|---|---|---|---|
InpStrategyMode | ENUM_STRATEGY_MODE | STRAT_MEAN_REVERSION | Strategy Mode (Mean Reversion is recommended!) |
InpLotSize | double | 0.1 | Lot Size |
InpTradeDirection | ENUM_TRADE_DIRECTION | TRADE_DIR_BOTH | Trade Direction (Both / Long Only / Short Only) |
InpSlMode | ENUM_SL_MODE | SL_MODE_FIXED | Stop Loss Mode |
InpFixedSlPoints | int | 250 | Fixed Stop Loss (points) |
InpRiskRewardRatio | double | 2.0 | Risk-Reward Ratio (e.g. 2.0 = RR 1:2) |
InpMagicNumber | ulong | 82809420 | Magic Number |
InpSlippage | ulong | 30 | Max Slippage (points) |
InpEnableBreakeven | bool | false | Enable Breakeven |
InpBreakevenTriggerRatio | double | 1.0 | Breakeven Trigger (R:R Ratio, e.g. 1.0 = 1:1) |
InpEnableTrailing | bool | true | Enable Trailing Stop (Opposite Band) |
InpUseEmaFilter | bool | true | Use EMA 200 Trend Filter |
Show all 27 inputs
| Name | Type | Default | Description |
|---|---|---|---|
InpEmaPeriod | int | 200 | EMA Trend Filter Period |
InpUseTimeFilter | bool | true | Use Time Session Filter |
InpHourStart | int | 8 | Session Start Hour (Server Time, 8 = 13:00 BKK) |
InpHourEnd | int | 18 | Session End Hour (Server Time, 18 = 23:00 BKK) |
InpLookback | int | 30 | Lookback Window |
InpBandwidth | double | 8.0 | Base Bandwidth (h) |
InpAdaptive | bool | true | Adaptive Bandwidth (ATR-scaled) |
InpAtrLen | int | 14 | ATR Length (adaptive) |
InpSmooth | int | 3 | MA Output Smoothing |
InpBandMult | double | 1.0 | Band Multiplier (sigma) |
InpBandLen | int | 24 | Band Lookback (sigma) |
InpBandSmooth | int | 5 | Band Smoothing |
InpAlertLine | bool | true | Send LINE Alerts |
InpLineAccessToken | string | | Channel Access Token |
InpLineTargetId | string | | LINE Target ID (Group ID/User ID, optional) |
How to install it
- 1Download the sourceUse "Download source (.zip)" above, or clone soemsri/BotTrade 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.
- 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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