JordiCorbilla / stock-prediction-deep-neural-learning

Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting

Date Created 2020-07-01 (4 years ago)

Commits 178 (last one 10 months ago)

Stargazers 514 (0 this week)

Watchers 19 (0 this week)

Forks 111

License cc0-1.0

Ranking

RepositoryStats indexes 584,353 repositories, of these JordiCorbilla/stock-prediction-deep-neural-learning is ranked #88,782 (85th percentile) for total stargazers, and #116,307 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #1,883/17,098.

JordiCorbilla/stock-prediction-deep-neural-learning is also tagged with popular topics, for these it's ranked: deep-learning (#1,996/8389), machine-learning (#1,980/7926), cryptocurrency (#215/1242), crypto (#152/823), time-series (#149/658), deep-neural-networks (#156/626), jupyter-notebook (#157/611), finance (#130/570), stock (#55/190)

Other Information

JordiCorbilla/stock-prediction-deep-neural-learning has Github issues enabled, there are 3 open issues and 14 closed issues.

There have been 4 releases, the latest one was published on 2024-01-03 (10 months ago) with the name v0.4.

Homepage URL: https://jordicorbilla.github.io/stock-prediction-deep-neural-learning/

All Topics

lstm stock crypto finance yfinance lstm-model market-data time-series stock-prices deep-learning cryptocurrency jupyter-notebook machine-learning stock-prediction deep-neural-networks lstm-neural-networks recurrent-neural-networks

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Recent Commit History

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

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updated: 2024-11-21 @ 05:20am, id: 276442655 / R_kgDOEHouHw