Dataset: 2026-10-27-catalog-ai-v2
Ruleset: b2e8889c66f7
Scanned: 2026-10-27
Window: February–September 15, 2026

Catalog tracking observation. This repository is measured with the same fixed window and ruleset, but it is not part of the published benchmark or its aggregate claims.

A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.

01Result

paperswithbacktest/awesome-systematic-trading ↗

paperswithbacktest/awesome-systematic-trading AI coding statistics: 58.3%

of 24 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate

Too little recent activity to publish. Only 24 commits landed in this window, so the percentage is noisy. Repositories below 100 are excluded from the index for this reason.

58.3% agent · top contributor 92.9%2 contributors

individual

One person is driving this. The headline number reflects a single contributor's workflow, not a project-wide shift.

agent commits

other considered commits

agent contributors

92.9%

largest contributor

02Drivers

What shapes this result

Mode, timing, and detected signatures show whether the result reflects broad adoption or one concentrated workflow.

Assisted or autonomous

14assisted

0autonomous

Assisted — a developer’s identity authored the commit and the agent added itself as co-author. Autonomous — a bot identity authored the commit without a human identity attached.

Agent share by month

Peak month: 100%. Bars are scaled to that peak, not to 100%.

Which agents

Agent	Vendor	Commits	Share
Claude Code	Anthropic	14	58.3%

03Evidence

Inspect the matches

Public commit samples let you inspect the signatures behind the aggregate result.

Matched commit samples

ef785862 on GitHubTake 24 libraries and 4 engineering blogs from wangzhe3224's listClaude Code
02ed73b5 on GitHubReport the monthly check in the run summary instead of a new issueClaude Code
17dcbcef on GitHubStop the monthly check failing on a label that was never createdClaude Code

04Method

What entered the denominator

The result begins with commit history, removes merges and routine automation, and reports literal agent signatures as a lower bound.

Exclusion ledger

Commits in window	41
Merge commits removed	−17
CI / dependency bots removed	−0
Considered	24

Bots are excluded from the denominator entirely. Agent attribution requires a literal supported signature; no code-style inference is used.

Continue exploring

Claude Code commitsBrowse repositories with detected Claude Code signatures →Python AI coding statisticsCompare evidence across Python repositories →GitHub AI commit analyzerInspect another repository with the same evidence model →

Reproduce this observation

Run the same detector locally.

Deterministic signature matching; no code-style inference. Squash merges can remove trailers, so this result remains a measured floor.

npx qmmit-cli paperswithbacktest/awesome-systematic-trading

Scan another repository

Try

Month	Agent share	Considered commits
2026-08	54.5%	22
2026-09	100%	2