tejaslinge / Stock-Price-Prediction-using-LSTM-and-Technical-Indicators

In this Jupyter Notebook, I've used LSTM RNN with Technical Indicators namely Simple Moving Average (SMA), Exponential Moving Average (EMA), Moving Average Convergence Divergence (MACD), and Bollinger Bands to predict the price of Bank Nifty.

Date Created 2021-04-19 (3 years ago)
Commits 10 (last one 3 years ago)
Stargazers 35 (0 this week)
Watchers 1 (0 this week)
Forks 10
License unknown
Ranking

RepositoryStats indexes 595,890 repositories, of these tejaslinge/Stock-Price-Prediction-using-LSTM-and-Technical-Indicators is ranked #545,854 (8th percentile) for total stargazers, and #544,619 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #15,383/17,543.

tejaslinge/Stock-Price-Prediction-using-LSTM-and-Technical-Indicators is also tagged with popular topics, for these it's ranked: technical-analysis (#106/109)

Other Information

tejaslinge/Stock-Price-Prediction-using-LSTM-and-Technical-Indicators has Github issues enabled, there is 1 open issue and 0 closed issues.

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 (main) since jan '22

Inactive

No recent commits to this repository

Yearly Commits

Commits to the default branch (main) per year

Issue History

Languages

The only known language in this repository is Jupyter Notebook

updated: 2024-11-25 @ 03:11pm, id: 359355982 / R_kgDOFWtWTg