stabgan/Recurrent-Neural-Networks-to-predict-Google-Stock-Price
I tried to predict google stock price using LSTMs
This project helps financial analysts and traders understand how historical stock price movements can be used to forecast future prices. It takes past Google stock opening prices as input and generates predictions for upcoming prices. It demonstrates how different model settings impact prediction accuracy.
Use this if you are a quantitative analyst or trader interested in exploring how deep learning models can predict stock prices based solely on historical opening price data.
Not ideal if you need highly accurate, production-ready stock predictions for actual trading decisions, as this model is a demonstration and has known limitations.
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Language
Python
License
MIT
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Last pushed
Mar 14, 2026
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