Skip to content

mjrodri/Stock-Market-Analysis-And-Forecasting-Using-LSTM

View on GitHub ↗Related repositories →

The LSTM (Long Short-Term Memory) project is a stock market analysis and forecasting application that leverages deep learning techniques to predict future stock prices. The project focuses on technology stocks such as Apple, Amazon, Google, and Microsoft.

active 2024-01-16 → 2024-01-16 (UTC)

Complete coverage28,208 / 28,208 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-11-02 (UTC)
Events
4
Pushes
2
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 1 days from 2024-01-16 to 2024-01-16. Pushes: 2 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
mjrodri2200

Recent activity

Latest issues, pull requests and releases

No issue or PR events — this repo's activity is pushes only.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.