KolaTradebot is a MetaTrader 5 expert advisor that executes a multi-asset strategy using Smart Money Concepts and a Global Order Model. It bridges the platform with a Python-based server to analyze market structures like order blocks, fair value gaps, and liquidity sweeps across multiple timeframes. The system includes
Collection · MT5
Algoritmos MT5 Collection
This collection for MetaTrader 5 provides a suite of trading algorithms and risk management utilities.
GitHub stars1
Forks0
Last update4 months ago1 May 2026
LicenceMIT
Overview
The primary expert advisor features an adaptive machine learning system using a neural network and evolutionary genetic algorithms. It analyzes market structure, volume profiles, and candlestick patterns to execute trades. Risk is managed through strict parameters including daily loss limits, maximum risk per trade, and adaptive volatility filters. The repository also contains tools for manual stop loss control and various standalone quantitative strategies for forex and indices.
- Adaptive machine learning neural network
- Evolutionary genetic algorithm optimization
- Market structure and volume profile analysis
- Integrated daily loss and risk limits
- Dedicated stop loss management tool
Details
Author
QuantLlama on GitHub
Type
Collection
Platform
MetaTrader 5 (MQL5)
Strategy
AI / machine learning, SMC / ICT / price action
Markets
Forex, Indices
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 EA_GEM_Single.mq5. Defaults are the author's; change them in the EA's Inputs tab.
| Name | Type | Default | Description |
|---|---|---|---|
RiskPercentage | double | 0.3 | Riesgo por operación (%) - ULTRA CONSERVADOR para micros |
MaxDailyLoss | double | 1.5 | Pérdida máxima diaria (%) - ULTRA CONSERVADOR |
MaxRiskPerTrade | double | 10.0 | Riesgo máximo absoluto por trade ($) - REDUCIDO |
MagicNumber | int | 300001 | Magic Number |
EnableLearning | bool | true | Activar Aprendizaje |
LearningMemory | int | 100 | Memoria de operaciones para aprender |
MutationRate | double | 0.15 | Tasa de mutación (0.1-0.3) |
GenerationSize | int | 20 | Tamaño de generación para evolución |
ElitismRate | double | 0.2 | % de mejores genes a conservar |
InputNeurons | int | 15 | Neuronas de entrada (features) |
HiddenLayer1 | int | 30 | Neuronas capa oculta 1 |
HiddenLayer2 | int | 20 | Neuronas capa oculta 2 |
Show all 20 inputs
| Name | Type | Default | Description |
|---|---|---|---|
OutputNeurons | int | 3 | Neuronas salida (Buy/Sell/Hold) |
LearningRateNN | double | 0.01 | Tasa de aprendizaje red neuronal |
UseCandlePatterns | bool | true | Reconocer patrones de velas |
UseVolumeProfile | bool | true | Analizar perfil de volumen |
UseMarketStructure | bool | true | Analizar estructura de mercado |
UseSeasonality | bool | true | Analizar estacionalidad |
MinVolatilityFilter | double | 0.3 | Filtro mínimo volatilidad (adaptativo) |
MaxVolatilityFilter | double | 3.0 | Filtro máximo volatilidad (adaptativo) |
How to install it
- 1Download the sourceUse "Download source (.zip)" above, or clone QuantLlama/Algoritmos-MT5 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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