Pulse
2026-09-18-v3.0
Dataset
2026-09-18-v3.0
Ruleset
b2e8889c66f7
Scanned
2026-09-16
Window
February–September 15, 2026
Local to this browser

01Result

stefan-jansen/machine-learning-for-trading ↗

stefan-jansen/machine-learning-for-trading AI coding statistics: 28.7%

of 721 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate
28.7% agent · top contributor 100%1 contributor
individual

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

207
agent commits
514
other considered commits
1
agent contributors
100%
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

207assisted
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. Across the whole index, 96% of agent commits are assisted.

Agent share by month

Agent-attributed commit share by month
MonthAgent shareConsidered commits
2026-060%11
2026-074.7%107
2026-080%223
2026-0953.2%380

Peak month: 53.2%. Bars are scaled to that peak, not to 100%.

Which agents

AgentVendorCommitsShare
Claude CodeAnthropic20728.7%

03Evidence

Inspect the matches

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

Matched commit samples

  • ce12bf78 on GitHubus_equities_panel: the holdout chain, the paired evidence, and what its drClaude Code
  • 2fd1b667 on GitHubDataset cards: read the profile path the writer actually writes (#1042)Claude Code
  • 7e96e2f8 on GitHubDeclare per-notebook VRAM requirements, and permit the vram_gb override keClaude 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 window723
Merge commits removed−0
CI / dependency bots removed−2
Considered721

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

05Provenance

Pinned to a source state

This observation names the repository state, release, and detector that produced it. Use these identifiers when reproducing or citing the result.

Dataset release
2026-09-18-v3.0
Scan date
2026-09-16
Ruleset
sha256:b2e8889c66f72c18a61839f0bf1a9f77b5481ba2def044dba33c797b2f2bdcae
Canonical repository
stefan-jansen/machine-learning-for-trading
Default branch
main
Resolved HEAD
567b1040016ca3a91dbaa80dede040dc045b1ea0 ↗
Resolved
2026-09-16
Measurement window
February–September 15, 2026
Download observation JSONDeterministic export · same values as this page

06Peer context

Position among comparable repositories

The cohort uses the same release and measurement window, then narrows to the repository’s ecosystem and removes low-activity observations.

CohortJupyter Notebook · 12 eligible repositories · at least 100 considered commits2026-09-18-v3.0 · February–September 15, 2026 · 25 of 37 ecosystem repositories excluded
Agent-commit share position79th percentile

Midrank percentile; equal shares split the tied positions.

Repository
28.7%
Cohort median
4.9%
Share rank
3 / 12
0th50th100th

Percentile = (repositories below + half of 1 tied repository) ÷ 12.

Continue exploring

Claude Code commitsBrowse repositories with detected Claude Code signatures →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 stefan-jansen/machine-learning-for-trading

Scan another repository

Try