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https://github.com/ashishpatel26/nyse-stock_market-analysis-using-lstm
Stock market data can be interesting to analyze and as a further incentive, strong predictive models can have large financial payoff. The amount of financial data on the web is seemingly endless. A large and well structured dataset on a wide array of companies can be hard to come by. Here I provide a dataset with historical stock prices (last 5 years) for all companies currently found on the S&P 500 index.
https://github.com/ashishpatel26/nyse-stock_market-analysis-using-lstm
keras newyork-stock nyse stock-forcast stock-market-data stock-market-prediction stock-price-prediction tensorflow-gpu using-lstm
Last synced: 2 months ago
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Stock market data can be interesting to analyze and as a further incentive, strong predictive models can have large financial payoff. The amount of financial data on the web is seemingly endless. A large and well structured dataset on a wide array of companies can be hard to come by. Here I provide a dataset with historical stock prices (last 5 years) for all companies currently found on the S&P 500 index.
- Host: GitHub
- URL: https://github.com/ashishpatel26/nyse-stock_market-analysis-using-lstm
- Owner: ashishpatel26
- License: gpl-3.0
- Created: 2018-05-02T04:59:45.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2018-05-02T05:03:04.000Z (over 6 years ago)
- Last Synced: 2023-03-04T15:15:11.407Z (almost 2 years ago)
- Topics: keras, newyork-stock, nyse, stock-forcast, stock-market-data, stock-market-prediction, stock-price-prediction, tensorflow-gpu, using-lstm
- Language: Jupyter Notebook
- Size: 18.2 MB
- Stars: 19
- Watchers: 3
- Forks: 15
- Open Issues: 0