Mql5-Python-Integration

Unverified ML strategy on Crypto by Joaopeuko. BotFinder score 18 out of 100.

I created this library to streamline the process of developing an Expert Advisor in MQL5. While MQL5 development can be complex, the same task is more straightforward in Python.

Source: github

Explorer/Crypto/Mql5-Python-Integration
18
Data index
CryptoMLMedium risk⚠ Unverified

Mql5-Python-Integration

JoaopeukoGitHub
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Net return
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Max drawdown
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Sharpe
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Profit factor
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Win rate
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Track record
6.1y
BotFinder Analysis

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About

Mql5-Python-Integration

Mql5-Python-Integration (MQPy) A Python library designed to simplify the process of creating Expert Advisors for MetaTrader 5. While developing directly in MQL5 can be complex, MQPy provides a more streamlined experience using Python. ⚠️ Important Notice Trading involves risk. Always: - Use demo accounts for testing - Never trade with money you cannot afford to lose - Understand that past performance doesn't guarantee future results Installation Requirements - Windows OS - Python 3.8 or later - MetaTrader 5 installed Quick Start Generate a trading strategy template: Features - Simple integration with MetaTrader 5 - Easy-to-use command line interface - Basic template generation for trading strategies - Support for various trading strategies: - Moving Average Crossover - RSI-based trading - Bollinger Bands strategies - Fibonacci Retracement patterns - Multi-timeframe analysis - Custom indicator integration Documentation For detailed documentation, examples, and strategy explanations, visit: https://joaopeuko.com/Mql5-Python-Integration/ Support MQPy is a free and open-source project. I

PythonMITOpen-sourceb3brazilian-stockscryptocurrencyeurusdeurusd-stock-exchangeexpert-advisorfimatheforex
Track record

⚠ No verified equity curve — no track-record source connected.

Risk

Drawdown profile

Data unavailable — contact the owner.

Evidence

Verification ledger

Live-audited
Broker-verified
Capital-backed
Tamper-proof
Historical evolution

How the score has moved

Recalculated at each data collection. Transparency means showing the bad weeks too.

No score history is stored yet — only the current score is shown.

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Live monitoring

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Alerts on changes: coming soon

Prop-firm compatibility

Prop-firm compatibility not provided.

Source
Joaopeuko
Since 2011 · 3 bots

Open-source maintainer on GitHub.

Trust 0Profile
Score & reliability18/100
Perf data0/35
Community0/25
Evidence8/20
Recency10/10
Verification0/10

Data-completeness & trust index (not a profitability rating)

Source facts
Stars213
Forks54
Open issues7
LanguagePython
LicenseMIT
Last update2025-12-15
Created2020-09-23
Website
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