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Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance
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This story was originally published on HackerNoon at: https://hackernoon.com/deep-reinforcement-learning-framework-to-automate-trading-in-quantitative-finance.
FinRL is an open-source framework for quantitative traders, simplifying DRL strategy development with customizable, reproducible, and beginner-friendly tools.
Check more stories related to web3 at: https://hackernoon.com/c/web3. You can also check exclusive content about #crypto-api, #deep-reinforcement-learning, #cryptocurrency-trading, #quantitative-finance, #drl-algorithms, #automated-trading-in-finrl, #ai-in-finance, #hackernoon-top-story, and more.
This story was written by: @reinforcement. Learn more about this writer by checking @reinforcement's about page, and for more stories, please visit hackernoon.com.
FinRL is an open-source framework that simplifies the use of deep reinforcement learning in quantitative finance, offering a full-stack solution with customizable and reproducible trading strategies.
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