Jingyi-Luo / Stock_Price_Movement_Prediction_RNN_CNN_FFNN

The random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using transaction data from the Limit Order Book (LOB).

Jingyi-Luo
Jingyi-Luo
Date Created 2019-05-14 (5 years ago)
Commits 38 (last one 5 years ago)
Stargazers 58 (0 this week)
Watchers 1 (0 this week)
Forks 18
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RepositoryStats indexes 579,555 repositories, of these Jingyi-Luo/Stock_Price_Movement_Prediction_RNN_CNN_FFNN is ranked #416,238 (28th percentile) for total stargazers, and #532,492 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #10,677/16,901.

Jingyi-Luo/Stock_Price_Movement_Prediction_RNN_CNN_FFNN is also tagged with popular topics, for these it's ranked: python (#17,072/21870),  deep-learning (#6,486/8344),  tensorflow (#1,862/2233),  neural-network (#894/1086),  cnn (#410/540),  stock (#145/191)

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Jingyi-Luo/Stock_Price_Movement_Prediction_RNN_CNN_FFNN has 1 open pull request on Github, 0 pull requests have been merged over the lifetime of the repository.

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updated: 2024-10-26 @ 03:51pm, id: 186517734 / R_kgDOCx4I5g