# JINGEWU/Stock-Market-Trend-Analysis-Using-HMM-LSTM

<https://repo.masters-masters.com/en/repos/JINGEWU/Stock-Market-Trend-Analysis-Using-HMM-LSTM>

[Home](https://repo.masters-masters.com/en) › [JINGEWU](https://repo.masters-masters.com/en/owners/JINGEWU) › [Stock-Market-Trend-Analysis-Using-HMM-LSTM](https://repo.masters-masters.com/en/repos/JINGEWU/Stock-Market-Trend-Analysis-Using-HMM-LSTM)

JINGEWU/Stock-Market-Trend-Analysis-Using-HMM-LSTM has 321 stars on GitHub. Its RepoMasters card: Alpha tier. Stock Market Trend Analysis Using Hidden Markov…

| Field | Value |
| --- | --- |
| Owner | [JINGEWU](https://repo.masters-masters.com/en/owners/JINGEWU) |
| Stars | 321 |
| Forks | 100 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2018 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [JINGEWU/Stock-Market-Trend-Analysis-Using-HMM-LSTM](https://github.com/JINGEWU/Stock-Market-Trend-Analysis-Using-HMM-LSTM) |

## Repository

Stock Market Trend Analysis Using Hidden Markov Model and Long Short Term Memory

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

## Nearby in Python

- [Maximoff/Apktool-M-updates · ★ 321 · Python · Alpha](https://repo.masters-masters.com/en/repos/Maximoff/Apktool-M-updates)
- [Lightconer/tvbox-ysc-config · ★ 321 · Python · Alpha](https://repo.masters-masters.com/en/repos/Lightconer/tvbox-ysc-config)
- [SakanaAI/mass · ★ 321 · Python · Alpha](https://repo.masters-masters.com/en/repos/SakanaAI/mass)
- [dsw/proquint · ★ 321 · Python · Alpha](https://repo.masters-masters.com/en/repos/dsw/proquint)
- [shotgunsoftware/python-api · ★ 321 · Python · Alpha](https://repo.masters-masters.com/en/repos/shotgunsoftware/python-api)
- [aivarsk/scruffy · ★ 321 · Python · Alpha](https://repo.masters-masters.com/en/repos/aivarsk/scruffy)

---
Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.