githubguoheng/Stock-Price-Prediction-Project-Code
使用机器学习(LSTM)进行多变量时间序列预测股价
This project helps individual investors analyze historical stock data to understand past price trends. By taking historical stock data, including closing prices and other features, it produces a visual comparison of actual versus 'predicted' historical stock prices, offering insights into past movements. This tool is for individual investors looking to understand the mechanics of stock price analysis using historical data.
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Use this if you want to explore how a machine learning model (specifically LSTM) can 'predict' historical stock price trends based on multiple past variables.
Not ideal if you need to predict future stock prices, as this project focuses on analyzing past trends with historical data, not forecasting.
Stars
19
Forks
2
Language
Python
License
Apache-2.0
Category
Last pushed
Sep 04, 2023
Commits (30d)
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