034adarsh/Stock-Price-Prediction-Using-LSTM

This project is about predicting stock prices with more accuracy using LSTM algorithm. For this project we have fetched real-time data from yfinance library.

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Emerging

This project helps individual investors or financial analysts predict future stock prices by analyzing historical market data. It takes real-time historical stock prices for a specific company as input and outputs a forecast of future stock price trends. This allows users to make more informed investment decisions.

107 stars. No commits in the last 6 months.

Use this if you are an individual investor or financial analyst looking for a tool to forecast stock prices based on past market performance.

Not ideal if you are looking for real-time trading advice or a system that incorporates economic news and other qualitative factors.

stock-forecasting investment-analysis market-prediction financial-modeling
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 20 / 25

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Stars

107

Forks

32

Language

Jupyter Notebook

License

MIT

Last pushed

Mar 18, 2025

Commits (30d)

0

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