LeonardoEmili/stock-price-forecasting
Distributed stock price forecasting system to predict S&P 500 stock prices.
This system helps individual investors, traders, and financial analysts predict the future price trends of S&P 500 stocks. It takes historical stock market data and company financial reports as input, and outputs predictions on whether a stock's price will go up or down. You can use this to inform your trading decisions or investment strategies.
No commits in the last 6 months.
Use this if you need a robust, data-intensive system for forecasting S&P 500 stock price trends based on both fundamental and technical analysis.
Not ideal if you are looking for real-time, ultra high-frequency trading signals or predictions for assets outside the S&P 500.
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11
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3
Language
Jupyter Notebook
License
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Category
Last pushed
Nov 12, 2021
Commits (30d)
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