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 180 (last one 20 days ago)
Stargazers 555 (3 this week)
Watchers 18 (0 this week)
Forks 121
License cc0-1.0
Ranking

RepositoryStats indexes 618,350 repositories, of these JordiCorbilla/stock-prediction-deep-neural-learning is ranked #86,461 (86th percentile) for total stargazers, and #124,242 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #1,857/18,432.

JordiCorbilla/stock-prediction-deep-neural-learning is also tagged with popular topics, for these it's ranked: deep-learning (#1,962/8711),  machine-learning (#1,937/8271),  cryptocurrency (#215/1263),  crypto (#155/852),  time-series (#146/688),  deep-neural-networks (#151/647),  jupyter-notebook (#155/631),  finance (#126/607),  stock (#55/202)

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 (about a year ago) with the name v0.4.

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

Star History

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Watcher History

Github watchers over time, collection started in '23

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Recent Commit History

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

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Issue History

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Languages

The primary language is Jupyter Notebook but there's also others...

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updated: 2025-02-22 @ 05:11am, id: 276442655 / R_kgDOEHouHw