CYBERDEVILZ/Stock-Market-Prediction
An attempt to predict the Stock Market Price using Long Short Term memory and plot its chart. By tweaking different hyper parameters, we get different trained models. The aim of this project is to identify the relation hidden in these hyper parameters.
This project helps financial analysts and traders predict future stock market opening prices. By analyzing historical stock data, it generates predictions and visual charts. The project aims to improve prediction accuracy by exploring how different model settings impact results.
No commits in the last 6 months.
Use this if you are a financial analyst or trader looking to experiment with machine learning models to forecast stock market movements and understand the impact of various model parameters on prediction accuracy.
Not ideal if you need a production-ready trading system or a tool for real-time market analysis without any technical expertise in machine learning model tuning.
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Language
PureBasic
License
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Last pushed
Oct 09, 2022
Commits (30d)
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