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Yegi03/Machine-Learning-Driven-Stock-Forecasting

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A predictive model leveraging LSTM neural networks to forecast stock prices using historical data. This project embodies the intersection of machine learning and financial analysis, aiming to provide insights for informed investment decisions.

active 2024-03-01 → 2024-04-24 (UTC)

Complete coverage27,656 / 27,656 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-10 (UTC)
Events
7
Pushes
1
Pull requests
0
Issues
0
Stars
0
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 55 days from 2024-03-01 to 2024-04-24. Pushes: 1 total, peak 1 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
Yegi031100

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.