Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-04 23:25 UTC

virattt / ai-hedge-fund

An AI Hedge Fund Team

PythonMIT★ 62,631 stars⑂ 11,016 forkssince Nov 2024View on GitHub ↗
KindCommand-line toolLibraryTerminal interfacehow this is determined

virattt/ai-hedge-fund holds a health index of 63 out of 100, placing it in the Moderate band. It scores highest on Vitality (92/100) and lowest on Security (34/100). It was last updated today. A single contributor accounts for most of its recent work.

63
overall / 100
Moderate

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean, calibrated against the distribution of the public record so bands carry percentile meaning; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At Risk ceiling of 34.

63
Exceptional93-100The record's top tier (≈ top 5%); essentially all checked criteria met
Excellent80-92Strong across the board; minor gaps
Good65-79Healthy; gaps are limited and manageable
Moderate50-64Acceptable with notable gaps; review recommended
Weak35-49Material weaknesses across several areas
At Risk20-34Significant weaknesses; adoption warrants caution
Critical1-19Severe problems (abandoned, single-maintainer, no hygiene)
VitalityCommunity &AdoptionSustainability &GovernanceEngineeringQualitySecurityAI Readiness

Score profile

Each axis is a category. The shape matters more than the average — a healthy subject fills the whole shape, while a spike-and-crater profile means strength in one dimension is masking risk in another.

The weighted overall 59 is calibrated to 63 on the published index scale (record calibration 2026-08-02).

Ownership

Virat SinghPersonal account
3,986 followers59 public repossince Jul 2011

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIhedge-fund2.1.0-10 days agoaihedge-fundtradingllmbacktestingagents

Metrics by category

Vitality

Is the project alive — is code being written and are releases shipping?

92Excellent · 21% of overall

Development activity

87Excellent
How it's scored
36/36Push recency — last push 0 days ago
22.8/36Commit cadence — 33/52 weeks with commits
18/18Commit volume — 159 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 18 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year159
human_commit_share1
days_since_last_push0
active_weeks_last_year33

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 10 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~9.7 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count10
latest_release_tagv2.1.0
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases9.7
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Signed-Releases. Remaining weights renormalized.

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

77Good · 17% of overall

Popularity & adoption

100Exceptional
How it's scored
60/60Stars — 62,631 stars
25/25Forks — 11,016 forks
15/15Watchers — 663 watchers
Inputs used
forks11,016
stars62,631
watchers663
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

50Moderate
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges1
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateno

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

53Moderate · 23% of overall

Maintainer resilience (bus factor)

24At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
1.8/22.5Commit distribution — top contributor authored 92% of commits
13.5/13.5Contributor breadth — 39 contributors
0/10OpenSSF Scorecard: Contributors — project has 0 contributing companies or organizations -- score normalized to 0
Inputs used
bus_factor1
contributors_sampled39
top_contributor_share0.922

Issue & PR responsiveness

40Weak
How it's scored
34.4/42Issue resolution — 82% of issues closed
5.9/30PR acceptance — 53/270 decided PRs merged
0/13Newcomer PR acceptance — 0/6 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Inputs used
merged_prs53
open_issues51
closed_issues229
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d6
issue_closed_ratio0.818
closed_unmerged_prs217
first_time_authors_30d5
first_time_prs_merged_30d0
first_time_prs_decided_30d6

Ownership & stewardship

75Good
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
25/25Owner reach — 3,986 followers of virattt
24.9/25Track record — 59 public repos, account ~15 yr old
Inputs used
followers3,986
owner_typeUser
is_verified—
owner_loginvirattt
public_repos59
account_age_days5,506
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

84Excellent
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 0 days ago
4/20Version history — 1 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packageshedge-fund
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

38Weak · 19% of overall

Engineering practices

30At Risk
How it's scored
0/24CI workflows
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_cino
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.

Documentation

50Moderate
How it's scored
30/30README
0/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
has_wikiyes
homepage—
docs_site—
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?

34At Risk · 16% of overall

Security posture

27At Risk
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
0/2.5CI-Tests — no data
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/30 approved changesets -- score normalized to 0
0/2.5Contributors — project has 0 contributing companies or organizations -- score normalized to 0
0/10Dangerous-Workflow — no data
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 18 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
0/5Pinned-Dependencies — no data
0/5SAST — no SAST tool detected
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — no data
0.8/7.5Vulnerabilities — 9 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated12
scorecard_versionv5.5.0
checks_inconclusive6
scorecard_aggregate2.7
Excluded from scoring (no data or not applicable): CI-Tests, Dangerous-Workflow, Packaging, Pinned-Dependencies, Signed-Releases, Token-Permissions. Remaining weights renormalized.

Dependency advisories

61Moderate
How it's scored
13.7/35Direct dependencies free of known advisories — 3 affected: langchain-anthropic 0.3.5 (moderate 5.1), python-dotenv 1.0.0 (moderate 6.6), langchain-openai 0.3.35 (low 3.1)
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
32.2/40No advisories left outstanding — 2 advisory-carrying package(s) unaddressed past 90 days; oldest published 110 days ago
Inputs used
sourceosv
advisories16
affected_packages6
assessed_packages101
unassessed_packages0
affected_by_severitycritical 1, high 1, moderate 3, low 1
direct_affected_packages3
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 101 resolved dependencies against OSV. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. Reachability is not analyzed.

AI Readiness

How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight (4%): agent tooling is a real maintenance signal, but a repository with none can still reach 100/100.

35Weak · 4% of overall

Agent context & guidance

10Critical
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
10.1/40Legible commit history — 19 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.19
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

47Weak
How it's scored
0/18One-command bootstrap
22/22Automated tests
0/11Lint / format config
0/11Static type checking
10/10Reproducible environment — lockfile
10/10Demonstrated agent practice — 6 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsyes
lockfilespoetry.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configno
typecheck_configs—
agent_commit_share0.06
toolchain_manifests—
dependency_bot_commit_share0
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Pinned-Dependencies. Remaining weights renormalized.

Code legibility for models

54Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
54.3/55Manageable file sizes — 1/75 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes87,634
source_files_sampled75
oversized_source_files1

Key facts

62,631GitHub stars
39contributors
159commits, last 12 months
0days since last push
10releases
1bus factor
51open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:hedge-fund@2.1.0; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 11,016 ⇿
0Stars
11,016Forks
9Releases

When each star and fork was added, collected from GitHub and bucketed by day. Cumulative growth sits directly above the daily additions it is made of, so the two read against each other: steady organic accretion looks nothing like an abrupt, short-lived burst. Where that difference is measurable, it is reported as growth authenticity.

Only the most recent history is shown — this repository exceeds the collection window, so the earliest history is not captured.

10,00010,20010,40010,60010,80011,00011,20011,016332026-052026-062026-08
Major 1Minor 0Patch 8
OpenSSF Scorecard 2.7 / 10
2.7aggregate

Independent, tool-agnostic security assessment from the open-source OpenSSF Scorecard. Each check rewards a security practice, not a specific vendor's tool. Checks Scorecard could not determine are marked n/a and excluded from the security score (never counted as zero).Scorecard v5.5.0 · 2026-08-04 23:24 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
n/aCI-Testsno pull request found
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
0Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
n/aDangerous-Workflowno workflows found
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 18 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
n/aPinned-Dependenciesno dependencies found
0SASTno SAST tool detected
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
n/aToken-PermissionsNo tokens found
1Vulnerabilities9 existing vulnerabilities detected
Direct dependencies 15
RegistryPackageVersion constraintManifest
PyPIlangchain-anthropic0.3.5pyproject.toml
PyPIlangchain-openai^0.3.5pyproject.toml
PyPIlangchain-deepseek^0.1.2pyproject.toml
PyPIlangchain-google-genai^2.0.11pyproject.toml
PyPIlangchain-xai^0.2.5pyproject.toml
PyPIpandas^2.1.0pyproject.toml
PyPInumpy^1.24.0pyproject.toml
PyPIpython-dotenv1.0.0pyproject.toml
PyPImatplotlib^3.9.2pyproject.toml
PyPIrequests^2.32.0pyproject.toml
PyPIrich^14.2.0pyproject.toml
PyPIpydantic^2.4.2pyproject.toml
PyPIscipy^1.11.0pyproject.toml
PyPIpyyaml^6.0.3pyproject.toml
PyPItextual^8.2.8pyproject.toml
All dependencies 101

Full resolved dependency set from the GitHub dependency graph: 15 direct and 86 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIlangchain-anthropic0.3.5direct
PyPIlangchain-deepseek0.1.4direct
PyPIlangchain-google-genai2.1.12direct
PyPIlangchain-openai0.3.35direct
PyPIlangchain-xai0.2.5direct
PyPImatplotlib3.11.1direct
PyPInumpy1.26.4direct
PyPIpandas2.3.3direct
PyPIpydantic2.13.4direct
PyPIpython-dotenv1.0.0direct
PyPIpyyaml6.0.3direct
PyPIrequests2.34.2direct
PyPIrich14.3.4direct
PyPIscipy1.17.1direct
PyPItextual8.2.8direct
PyPIaiohappyeyeballs2.7.1indirect
PyPIaiohttp3.14.3indirect
PyPIaiosignal1.4.0indirect
PyPIannotated-types0.8.0indirect
PyPIanthropic0.120.2indirect
PyPIanyio4.14.2indirect
PyPIattrs26.1.0indirect
PyPIblack23.12.1indirect
PyPIcertifi2026.7.22indirect
PyPIcffi2.1.0indirect
PyPIcharset-normalizer3.4.9indirect
PyPIclick8.4.2indirect
PyPIcolorama0.4.6indirect
PyPIcontourpy1.3.3indirect
PyPIcryptography50.0.0indirect
PyPIcycler0.12.1indirect
PyPIdefusedxml0.7.1indirect
PyPIdistro1.9.0indirect
PyPIdocstring-parser0.18.0indirect
PyPIfiletype1.2.0indirect
PyPIflake86.1.0indirect
PyPIfonttools4.63.0indirect
PyPIfrozenlist1.8.0indirect
PyPIgoogle-ai-generativelanguage0.12.0indirect
PyPIgoogle-api-core2.33.0indirect
PyPIgoogle-auth2.56.2indirect
PyPIgoogleapis-common-protos1.75.0indirect
PyPIgrpcio1.83.0indirect
PyPIgrpcio-status1.83.0indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx0.28.1indirect
PyPIidna3.18indirect
PyPIiniconfig2.3.0indirect
PyPIisort5.13.2indirect
PyPIjiter0.16.0indirect
PyPIjsonpatch1.33indirect
PyPIjsonpointer3.1.1indirect
PyPIkiwisolver1.5.0indirect
PyPIlangchain-core0.3.86indirect
PyPIlangsmith0.10.15indirect
PyPIlinkify-it-py2.1.0indirect
PyPImarkdown-it-py4.2.0indirect
PyPImccabe0.7.0indirect
PyPImdit-py-plugins0.6.1indirect
PyPImdurl0.1.2indirect
PyPImultidict6.7.1indirect
PyPImypy-extensions1.1.0indirect
PyPIopenai2.52.0indirect
PyPIorjson3.11.9indirect
PyPIpackaging25.0indirect
PyPIpathspec1.1.1indirect
PyPIpillow12.3.0indirect
PyPIplatformdirs4.11.0indirect
PyPIpluggy1.6.0indirect
PyPIpropcache0.5.2indirect
PyPIproto-plus1.28.2indirect
PyPIprotobuf7.35.1indirect
PyPIpyasn10.6.4indirect
PyPIpyasn1-modules0.4.2indirect
PyPIpycodestyle2.11.1indirect
PyPIpycparser3.0indirect
PyPIpydantic-core2.46.4indirect
PyPIpyflakes3.1.0indirect
PyPIpygments2.20.0indirect
PyPIpyparsing3.3.2indirect
PyPIpytest7.4.4indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpytz2026.3.post1indirect
PyPIregex2026.7.19indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIsix1.17.0indirect
PyPIsniffio1.3.1indirect
PyPItenacity9.1.4indirect
PyPItiktoken0.13.0indirect
PyPItqdm4.70.0indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2026.3indirect
PyPIuc-micro-py2.0.0indirect
PyPIurllib32.7.0indirect
PyPIuuid-utils0.17.0indirect
PyPIwebsockets17.0.1indirect
PyPIxxhash3.8.1indirect
PyPIyarl1.24.5indirect
PyPIzstandard0.25.0indirect
Dependency advisories 6

This repository publishes no package the index resolves, so its own dependency graph was assessed — 101 packages, which also include development and test pins that never ship: 6 carry known advisories, of which 3 are direct.

PackageVersionRelationSeverityAdvisoriesFixed in
black23.12.1indirectcritical426.3.1
langchain-core0.3.86indirecthigh41.2.22
langchain-anthropic0.3.5directmoderate21.4.6
python-dotenv1.0.0directmoderate21.2.2
pytest7.4.4indirectmoderate29.0.3
langchain-openai0.3.35directlow21.1.14

An advisory means the version recorded in the dependency graph falls inside an advisory’s affected range. Reachability is not analysed, and the graph includes development and test pins — a finding may concern tooling rather than shipped software.

Raw JSON report machine-readable

Feedback

Spotted something off in this report, or have thoughts to share? Wrong measurements, missed tooling, ideas, questions — anything is welcome. Every message is read and gets a response.

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Scores are signals, not warranties. They reflect publicly visible practices on GitHub — not a code audit, and not a security guarantee.

Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v2.10.0, schema v0.31.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics — PyPI.