TatevKaren/recurrent-neural-network-pricing-model
Price Prediction Case Study predicting the Bitcoin price and the Google stock price using Deep Learning, RNN with LSTM layers with TensorFlow and Keras in Python. (Includes: Data, Case Study Paper, Code)
This project helps financial analysts and traders predict stock price movements. It takes historical stock price data, specifically the past five years of Google stock prices (2016-2020), and outputs predictions for upward and downward trends in the stock price for a future period, like January 2021. The end-user is someone involved in financial analysis or trading who needs insights into future stock trends.
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Use this if you are a financial analyst or trader looking for a case study to understand how deep learning can be applied to predict short-term stock price trends.
Not ideal if you need a ready-to-use, high-frequency trading bot or a tool for long-term fundamental investment analysis.
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Language
Python
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Last pushed
Nov 02, 2023
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