ddayto21/Stock-Forecasting
Python repository that uses time-series data from the S&P 500 to train a RandomForestClassifier to predict the probability of a stock price increasing or decreasing. This script is meant for educational purposes only - this is not financial advice. Consult with your financial adviser before making any investments.
This project helps financial analysts and traders understand potential daily movements of the S&P 500 index. By taking historical S&P 500 price data as input, it trains a model to predict the probability of the index's price increasing or decreasing on the next trading day. This gives users insights into market trends and possible short-term price movements.
No commits in the last 6 months.
Use this if you want to explore how machine learning can analyze historical S&P 500 data to forecast daily price direction.
Not ideal if you are looking for ready-to-use financial advice or a high-frequency trading bot.
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20
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5
Language
Python
License
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Last pushed
Jan 21, 2025
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