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Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.

active 2024-11-302026-08-06 (UTC)

Partial coverage12,932 / 15,129 hourly files (85%) · 2 absent upstream · 2,192 failed, retryable2024-11-182026-08-11 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
1.1K
Pushes
377
Pull requests
110
Issues
44
Stars
321
Forks
50

Activity over time

Daily event counts in the loaded window

Line chart, 615 days from 2024-11-30 to 2026-08-06. Pushes: 377 total, peak 11 in a day. Pull requests: 110 total, peak 6 in a day. Issues: 44 total, peak 4 in a day. Comments: 42 total, peak 6 in a day. Stars: 321 total, peak 21 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
MDUYN4713743920
dependabot[bot]8516717
Copilot3120
amustapha3002
mc-fu2001
Slijeff1001
thakoreh1010
shreejaykurhade1010
anasfarock1000
sk8ordie841001
babyblueviper11000
stellaw12221000
github-actions[bot]1100

Recent activity

Latest issues, pull requests and releases

  • Pull request#582dependabot[bot]2026-07-15 22:53
  • Pull request#582dependabot[bot]2026-07-15 22:53
  • Issue comment#486dependabot[bot]2026-06-19 23:37
    chore(deps): bump jupyterlab from 4.5.0 to 4.5.7
  • Pull request#576dependabot[bot]2026-06-19 23:37
  • Issue#573MDUYN2026-06-17 11:39
    feat: add generate_k_fold_backtest_windows() for time-series cross-validation
  • Issue#564babyblueviper12026-06-01 09:38
    Optional: capital-aware pre-trade /review (advisory) as an MCP tool
  • Issue comment#488sk8ordie842026-05-23 20:05
    Add a provenance manifest to every backtest
  • Issue#496MDUYN2026-05-18 21:25
    Backtest report HTML scales poorly past ~100 strategies
  • Issue comment#496MDUYN2026-05-18 21:25
    Backtest report HTML scales poorly past ~100 strategies
  • Issue#520MDUYN2026-05-18 21:25
    Epic: Hybrid Python + Rust acceleration (`iaf-core`)
  • Issue comment#520MDUYN2026-05-18 21:25
    Epic: Hybrid Python + Rust acceleration (`iaf-core`)
  • Issue comment#540MDUYN2026-05-18 21:25
    Epic: tiered backtest storage (rewrite the storage layer)
  • Issue#390MDUYN2026-05-13 12:22
    Optimize scenario tests: README example test
  • Pull request#546MDUYN2026-05-11 14:09
  • Pull request#541MDUYN2026-05-10 19:51
  • Issue#538MDUYN2026-05-10 19:25
    v8.10: read-side index + scalar-summary access (tiered storage phase 1)
  • Issue comment#539MDUYN2026-05-10 19:25
    v8.11: BacktestStore abstraction + LocalTieredStore (tiered storage phase 2)
  • Issue comment#538MDUYN2026-05-10 19:24
    v8.10: read-side index + scalar-summary access (tiered storage phase 1)
  • Issue#538MDUYN2026-05-10 18:55
    v8.10: read-side index + scalar-summary access (tiered storage phase 1)
  • Issue#538MDUYN2026-05-10 18:55
    v8.10: read-side index + scalar-summary access (tiered storage phase 1)
  • Pull request#527shreejaykurhade2026-05-09 19:31
  • Issue comment#529MDUYN2026-05-09 19:20
    Add headers for external URL data sources
  • Issue#533MDUYN2026-05-09 12:32
    Event-driven strategy triggers + news/event data providers (push & polled)
  • Issue#522MDUYN2026-05-07 13:01
    Rust phase 1: scaffold iaf-core crate (PyO3 + maturin + CI wheels)
  • Issue#522MDUYN2026-05-07 13:01
    Rust phase 1: scaffold iaf-core crate (PyO3 + maturin + CI wheels)

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 321 stars here means stars gained during the window, not the repo's star count.