Test and develop trading strategies using reinforcement learning on various financial data sets.
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Free · no card · unsubscribe anytimeApplying Reinforcement Learning in Quantitative Trading
RLQuant has 356 stars on GitHub. It has been forked 104 times. RLQuant is written mainly in Jupyter Notebook. It has been in active development since 2018. Its main topics are finance-market-trading, portfolio-management, reinforcement-learning, trading.
What is RLQuant?
Applying Reinforcement Learning in Quantitative Trading
Is RLQuant open source?
RLQuant is an open-source project.
Is RLQuant free?
Yes. RLQuant is free and open source — you can use, modify and self-host it.
What language is RLQuant written in?
RLQuant is written mainly in Jupyter Notebook.
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