DataRohit/Stockastic
Stockastic is an ML-powered stock price prediction app built with Python and Streamlit. It utilizes machine learning models to forecast stock prices and help investors make data-driven decisions.
This tool helps individual investors and traders forecast stock prices. By selecting a stock ticker, you get historical price data, an ARIMA model trained on that data, and multi-day price forecasts. The output includes interactive charts to visualize past trends and future predictions, assisting with data-driven investment decisions.
No commits in the last 6 months.
Use this if you want to apply a statistical forecasting model to predict future stock prices for a specific ticker and visualize the results.
Not ideal if you need to optimize a portfolio, backtest complex trading strategies, or require real-time buy/sell signals rather than just price forecasts.
Stars
21
Forks
30
Language
Jupyter Notebook
License
MIT
Category
Last pushed
May 21, 2024
Commits (30d)
0
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