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 (6 months ago)

Commits 11 (last one 6 months ago)

Stargazers 41 (2 this week)

Watchers 3 (0 this week)

Forks 10

License apache-2.0

Ranking

RepositoryStats indexes 584,353 repositories, of these HusseinJammal/Liquid-Neural-Networks-in-Stock-Market-Prediction is ranked #507,580 (13th percentile) for total stargazers, and #422,423 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #98,275/116,326.

HusseinJammal/Liquid-Neural-Networks-in-Stock-Market-Prediction is also tagged with popular topics, for these it's ranked: deep-learning (#7,591/8389), machine-learning (#7,187/7926), neural-networks (#670/718), time-series (#584/658), stock-market (#204/239), time-series-analysis (#129/147)

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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The primary language is Python but there's also others...

updated: 2024-11-17 @ 03:58am, id: 801908176 / R_kgDOL8wl0A