HusseinJammal/Liquid-Neural-Networks-in-Stock-Market-Prediction
This repository hosts a stock market prediction model for Tesla and Apple using Liquid Neural Networks. It showcases data-driven forecasting techniques, feature engineering, and machine learning to enhance the accuracy of financial predictions.
This project helps financial analysts and traders forecast daily stock prices for Tesla and Apple using historical market data. It takes in past price movements and trading volumes, applies sophisticated technical indicators, and outputs predictions for future adjusted close prices. This is ideal for quantitative analysts or individual investors who want to integrate advanced machine learning into their stock market analysis.
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Use this if you need a machine learning model to predict the daily stock prices of specific high-profile companies like Tesla and Apple, leveraging a wide array of technical indicators.
Not ideal if you need to predict prices for a broad portfolio of stocks, or if you are looking for long-term investment advice rather than short-term price forecasting.
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Language
Python
License
Apache-2.0
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Last pushed
May 18, 2024
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