Date created: 2024-02-19 11:57 AM | Last Updated: 2024-02-21 07:39 AM
Identifier: DOI 10.17605/OSF.IO/ZJ4B3
Category: Project
Description: This project utilizes machine learning techniques in Python to predict stock prices and implement a basic trading strategy.
This paper presents a machine learning-based approach for stock market prediction using a linear regression model. The model is trained on historical data and then used to predict buy and sell signals. The performance of the model is evaluated based on total trades, win rate, average profit, and maximum markdown.
The stock market is a complex system that is difficult to pre…
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