bbalouki/bbstrader
Simplified Investment & Trading Toolkit with Python & C++
This toolkit helps quantitative traders and algorithmic professionals build, test, and deploy advanced trading strategies. It takes historical market data and custom strategy rules as input, enabling users to backtest complex trading ideas, generate real-time signals, and automate trade execution on platforms like MetaTrader 5. The output includes performance metrics, optimized strategy parameters, and live trading actions, designed for those who need high-speed execution combined with flexible data analysis.
Available on PyPI.
Use this if you are an algorithmic trader, quant, or institutional professional who needs to develop and deploy high-frequency trading strategies, leverage machine learning models for signals, and overcome the performance limitations of MQL5 for MetaTrader 5.
Not ideal if you are a discretionary trader looking for a simple charting tool, or if you prefer manual trading over automated, code-driven strategy development.
Stars
10
Forks
3
Language
Python
License
MIT
Category
Last pushed
Feb 18, 2026
Commits (30d)
0
Dependencies
25
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