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)

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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.

No commits in the last 6 months.

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.

stock-market-prediction financial-forecasting market-trend-analysis trading-strategies investment-analysis
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 8 / 25
Community 21 / 25

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34

Language

Python

License

Last pushed

Nov 02, 2023

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