Search algorithmic trading implementation references — backtesting, market data, order execution, and low-latency engines in Python, Rust, and C++.
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🔎 📈 🐍 💰 Backtest trading strategies in Python.
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modular quant framework.
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Algorithmic Trading in Python with Machine Learning
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Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.
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Howtrader: A crypto quant framework for developing, backtesting, and executing your own trading strategies. Seamlessly integrates with TradingView and other third-party signals. Simply send a post request to automate trading and order placement. Supports Binance and Okex exchanges.
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A Python async and event driven framework for algorithmic trading, with a focus on crypto currencies.
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Vectorized backtesting framework in Python / pandas, designed to make your backtesting easier — compact, simple and fast
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Python-based framework for backtesting trading strategies & analyzing financial markets [GUI :neckbeard:]
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Hybrid Python + Rust backtesting framework
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:chart: Python framework for real-time financial and backtesting trading strategies
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