gopikrsmscs/stock-price-prediction-transformer
Tesal Stock Price Prediction Using Transformer
This project helps financial analysts and traders forecast stock prices by taking historical stock price data (like daily open, high, low, close prices) and generating predictions for future prices. It outputs a visual comparison of actual versus predicted stock prices and performance metrics. Stock market professionals can use this to anticipate market movements.
No commits in the last 6 months.
Use this if you need a demonstration or a starting point for predicting stock prices using advanced machine learning models like Transformers.
Not ideal if you need a ready-to-use, robust trading system or a production-grade forecasting tool without any coding.
Stars
31
Forks
6
Language
Python
License
MIT
Category
Last pushed
Feb 21, 2024
Commits (30d)
0
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