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.

Date Created 2024-05-17 (10 months ago)

Commits 11 (last one 10 months ago)

Stargazers 54 (0 this week)

Watchers 3 (0 this week)

Forks 11

License apache-2.0

Ranking

RepositoryStats indexes 632,768 repositories, of these HusseinJammal/Liquid-Neural-Networks-in-Stock-Market-Prediction is ranked #466,611 (26th percentile) for total stargazers, and #417,530 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #90,878/129,079.

HusseinJammal/Liquid-Neural-Networks-in-Stock-Market-Prediction is also tagged with popular topics, for these it's ranked: deep-learning (#7,010/8812), machine-learning (#6,716/8405), neural-networks (#621/758), time-series (#551/701), stock-market (#194/263), time-series-analysis (#125/161)

Other Information

HusseinJammal/Liquid-Neural-Networks-in-Stock-Market-Prediction has Github issues enabled, there are 4 open issues and 1 closed issue.

All Topics

time-series stock-market deep-learning neural-networks apple-stock-data machine-learning tesla-stock-analysis time-series-analysis liquid-neural-networks stock-market-prediction

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11 commits on the default branch (master) since jan '22

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updated: 2025-03-12 @ 09:54pm, id: 801908176 / R_kgDOL8wl0A