Supercharging AI Trading: Adding Indicators and Metrics in FinRock!
Welcome back to the FinRock journey! We're taking our AI trading ambitions to new heights in this fourth installment. Brace yourselves as we introduce many game-changing features to our custom environment. The star players? Indicators! Bolinger Bands, RSI, PSAR, SMA - we've got them all in the mix to enhance our agent's decision-making.
But that's not all. We're also introducing Sharpe Ratio and Max Drawdown as metrics, comprehensively evaluating our RL agent's performance. The update doesn't stop there; we've revamped our rendering system, and we're now handling indicators with finesse. Plus, we've made our environment more robust, with error handling for NaN data and improved state handling.
And the results? Well, let's just say that training our RL agent on sinusoid data with these new features has yielded remarkable improvements. The numbers speak for themselves, and we can't wait to share the metrics with you!
As always, thank you for being part of this journey. Don't forget to like, subscribe, and hit that notification bell for more exciting updates in the world of AI-powered financial trading. Get ready to witness the evolution of FinRock! 🚀💹🤖
GitHub: https://github.com/pythonlessons/FinRock
Tutorial code: https://github.com/pythonlessons/FinR...
Tutorial code download: https://github.com/pythonlessons/FinR...
Tutorial part #1 - • Automated Financial Trading Introduct...
Tutorial part #2 - • Complete Trading Environment for auto...
Tutorial part #3: - • I Tried To Train AI to Trade On My Cu...
Tutorial part #4: -This Video
Tutorial part #5 - • Unleashing Spectacular Powers Of AI T...
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