IdeaCredIdeaCred

MunjPatel/LSTM-FinTrends

53

LSTM-FinTrends is an end-to-end project showcasing stock index direction forecasting using an LSTM model with derived metrics. It demonstrates a complete workflow, from data collection with yfinance to visualization via a Flask app. Automated using GitHub Actions, this project emphasizes the setup and execution of DL in financial forecasting.

What's novel

LSTM-FinTrends is an end-to-end project showcasing stock index direction forecasting using an LSTM model with derived metrics. It demonstrates a complete workflow, from data collection with yfinance to visualization via a Flask app. Automated using GitHub Actions, this project emphasizes the setup and execution of DL in financial forecasting.

Score Breakdown

Innovation
2 (25%)
Craft
52 (35%)
Traction
11 (15%)
Scope
55 (25%)

Signal breakdown

Innovation

Not Fork+1
Code Novelty+0
Unique Niche+1
Concept Novelty+0

Craft

Ci+5
Tests-5
Polish+0
Releases-2
Has License+5
Code Quality+12
Readme Quality+15
Recent Activity+7
Structure Quality+5
Commit Consistency+5
Has Dependency Mgmt+5

Traction

Forks+0
Stars+6
Hn Points+0
Watchers+3
Early Traction+0
Devto Reactions+0
Community Contribs+2

Scope

Commits+8
Languages+5
Subsystems+5
Bloat Penalty+0
Completeness+7
Contributors+6
Authored Files+8
Readme Code Match+3
Architecture Depth+5
Implementation Depth+8

Evidence

Commits

359

Contributors

2

Files

27

Active weeks

51

TestsCI/CDREADMELicenseContributing

Repository

Language

Python

Stars

2

Forks

0

License

MIT