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 (7 months ago)

Commits 11 (last one 7 months ago)

Stargazers 46 (0 this week)

Watchers 3 (0 this week)

Forks 10

License apache-2.0

Ranking

RepositoryStats indexes 595,856 repositories, of these HusseinJammal/Liquid-Neural-Networks-in-Stock-Market-Prediction is ranked #490,421 (18th percentile) for total stargazers, and #427,587 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #94,702/119,431.

HusseinJammal/Liquid-Neural-Networks-in-Stock-Market-Prediction is also tagged with popular topics, for these it's ranked: deep-learning (#7,349/8512), machine-learning (#6,997/8063), neural-networks (#655/728), time-series (#572/672), stock-market (#202/242), time-series-analysis (#124/151)

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: 2024-12-11 @ 06:12pm, id: 801908176 / R_kgDOL8wl0A