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yohannestayez/Time-Series-Forecasting-for-Portfolio-Management-Optimization

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This project leverages advanced time series forecasting and statistical analysis techniques to optimize portfolio management for GMF Investments. By analyzing historical stock price data, we aim to predict future trends, identify patterns, and assess risk, enabling informed decisions for asset allocation and risk mitigation.

active 2024-11-09 → 2024-11-16 (UTC)

Complete coverage27,077 / 27,079 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-09-16 (UTC)
Events
20
Pushes
11
Pull requests
4
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 8 days from 2024-11-09 to 2024-11-16. Pushes: 11 total, peak 8 in a day. Pull requests: 4 total, peak 2 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
yohannestayez151140

Recent activity

Latest issues, pull requests and releases

  • Pull request#2yohannestayez2024-11-15 12:46
  • Pull request#2yohannestayez2024-11-15 12:46
  • Pull request#1yohannestayez2024-11-09 12:37
  • Pull request#1yohannestayez2024-11-09 12:36

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.