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AI-powered options market analytics challenge for CodeForge. Participants build a visualization and analytics platform to explore derivatives data, detect patterns in volatility, open interest, and volume, and generate insights using AI and FOSS tools.

Python · active 2026-03-062026-03-07 (UTC)

Complete coverage26,422 / 26,422 hourly files (100%) · 2 absent upstream2023-08-152026-08-19 (UTC)
Events
23
Pushes
1
Pull requests
6
Issues
0
Stars
1
Forks
13

Activity over time

Daily event counts in the loaded window

Line chart, 2 days from 2026-03-06 to 2026-03-07. Pushes: 1 total, peak 1 in a day. Pull requests: 6 total, peak 6 in a day. Issues: 0 total, peak 0 in a day. Comments: 1 total, peak 1 in a day. Stars: 1 total, peak 1 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

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

ContributorContributionsPushesPRsComments
angelmishrain-beep4031
Sumit-13252020
bhavyashah14031100
rishik-1231010

Recent activity

Latest issues, pull requests and releases

  • Pull request#5angelmishrain-beep2026-03-07 10:23
  • Issue comment#5angelmishrain-beep2026-03-07 10:23
    Initialize backend and frontend structure with requirements
  • Pull request#5angelmishrain-beep2026-03-07 10:23
  • Pull request#5angelmishrain-beep2026-03-07 10:11
  • Pull request#4Sumit-13252026-03-07 07:43
  • Pull request#2Sumit-13252026-03-07 07:40
  • Pull request#1rishik-1232026-03-07 07:22

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.