Python Backtesting library for trading strategies
- python
- trading
- backtesting
- metaclass
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Python Backtesting library for trading strategies
"AI-Trader: 100% Fully-Automated Agent-Native Trading"
TranslatedProvides stock quantitative trading via the Tonghuashun (同花顺) client, miniqmt, and Xueqiu (雪球); supports tracking joinquant / ricequant simulated trading and live Xueqiu portfolios
11 Claude skills for day trading: scan thousands of charts, track breaking news, time every entry and exit, and replay every outcome before you risk a dollar.
TranslatedStock AI Trader: 1-stop platform for learning, sim & live trading. Covers: stock basics, strategies, LLMs, factor mining, ML/DL/RL, graph nets, HFT, C++ deploy & JoinQuant code.
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
QuantStart.com - QSTrader backtesting simulation engine.
💰 Cryptocurrency Trading Bot for Binance (Experimental)
Discover our Python package designed for algorithmic trading. It brings ICT's smart money concepts to Python, offering a range of indicators for your algorithmic trading strategies.
Scalable, event-driven, deep-learning-friendly backtesting library
Python live trade execution library with zipline interface.
Self-hosted alternative to Claude and ChatGPT Personal Finance. An AI agent that manages your budget and investments, and can place trades.
Trading Environment(OpenAI Gym) + DDQN (Keras-RL)
TranslatedLow-code quant backtesting for China A-shares