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 53 (0 this week)
Watchers 1 (0 this week)
Forks 18
License unknown
Ranking

RepositoryStats indexes 536,158 repositories, of these Jingyi-Luo/Stock_Price_Movement_Prediction_RNN_CNN_FFNN is ranked #416,363 (22nd percentile) for total stargazers, and #498,211 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #10,419/14,975.

Jingyi-Luo/Stock_Price_Movement_Prediction_RNN_CNN_FFNN is also tagged with popular topics, for these it's ranked: python (#16,967/20484),  deep-learning (#6,447/7837),  tensorflow (#1,889/2169),  neural-network (#893/1032),  cnn (#414/506),  stock (#142/175)

Other Information

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.

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

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

Inactive

No recent commits to this repository

Yearly Commits

Commits to the default branch (master) per year

Issue History

Languages

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

updated: 2024-06-26 @ 07:58am, id: 186517734 / R_kgDOCx4I5g