JordiCorbilla/stock-prediction-deep-neural-learning
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
This project helps investors predict future stock prices by analyzing historical market data. It takes a company's ticker symbol as input, downloads financial information from Yahoo Finance, and then applies a deep learning model to forecast potential price movements. The output helps individual investors make more informed trading decisions.
665 stars.
Use this if you are an investor looking for a data-driven approach to predict stock price trends and identify potential investment opportunities.
Not ideal if you need real-time, high-frequency trading signals or a system that incorporates macroeconomic news and sentiment analysis beyond historical price data.
Stars
665
Forks
125
Language
Jupyter Notebook
License
CC0-1.0
Category
Last pushed
Dec 28, 2025
Commits (30d)
0
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