Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-10 06:28 UTC

bbalouki / bbstrader

Simplified Investment & Trading Toolkit with Python & C++

Python · C++MIT★ 15 stars⑂ 3 forkssince Mar 2024View on GitHub ↗
KindCommand-line toolLibraryChat bothow this is determined
#fianance#investment#machine-learning#metatrader5#time-series#trading#backtest#backtesting#backtesting-engine#backtesting-trading-strategies#strategy

bbalouki/bbstrader holds a health index of 83 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (96/100) and lowest on AI Readiness (45/100). It was last updated 30 days ago. A single contributor accounts for most of its recent work.

83
overall / 100
Excellent

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.

83
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 70 is calibrated to 83 on the published index scale (record calibration 2026-08-02).

Ownership

Bertin Balouki SIMYELIPersonal account
12 followers23 public repossince Mar 2021@maelqo

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
PyPIbbstrader2.3.02915672 days agofinancetoolkitfinancialanalysisfundamentalquantitativedatabaseequitiescurrencieseconomicsetfsfundsindicesmoneymarketscommoditiesfuturescfdsderivativestradinginvestingportfoliooptimizationperformance

Metrics by category

Vitality

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

81Excellent · 21% of overall

Development activity

75Good
How it's scored
28.8/36Push recency — last push 30 days ago
18/36Commit cadence — 26/52 weeks with commits
18/18Commit volume — 392 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year392
human_commit_share0.98
days_since_last_push30
active_weeks_last_year26

Release discipline

90Excellent
How it's scored
27/27Ships releases — 29 releases published
36/36Release recency — latest release 72 days ago
27/27Release cadence — a release every ~18.4 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count29
latest_release_tagv2.3.0
releases_from_tagsno
days_since_latest_release72
mean_days_between_releases18.4

Community & Adoption

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

51Moderate · 17% of overall

Popularity & adoption

21At Risk
How it's scored
18.6/60Stars — 15 stars
2.5/25Forks — 3 forks
0/15Watchers — 2 watchers
Inputs used
forks3
stars15
watchers2
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges14
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

41Weak
How it's scored
32.9/80Monthly downloads — 291 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesbbstrader
dependents—
ecosystemspypi
total_downloads—
monthly_downloads291
unverified_packages_excluded—
Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.

Sustainability & Governance

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

60Moderate · 23% of overall

Maintainer resilience (bus factor)

18Critical
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
3.2/22.5Commit distribution — top contributor authored 86% of commits
2.7/13.5Contributor breadth — 2 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled2
top_contributor_share0.86

Issue & PR responsiveness

91Excellent
How it's scored
0/42Issue resolution — no issues or no data
26.1/30PR acceptance — 172/198 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Inputs used
merged_prs172
open_issues0
closed_issues0
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio—
closed_unmerged_prs26
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Issue resolution, Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

49Weak
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
8/25Owner reach — 12 followers of bbalouki
20.9/25Track record — 23 public repos, account ~5 yr old
Inputs used
followers12
owner_typeUser
is_verified—
owner_loginbbalouki
public_repos23
account_age_days1,990
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 72 days ago
20/20Version history — 56 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesbbstrader
ecosystemspypi
any_deprecatedno
min_days_since_publish72

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 5 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 3 out of 3 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://github.com/bbalouki/bbstrader
10/10Repository description
10/10Topics — 11 topics
10/10Wiki
Inputs used
topicsfianance, investment, machine-learning, metatrader5, time-series, trading, backtest, backtesting, backtesting-engine, backtesting-trading-strategies, strategy
has_wikiyes
homepagehttps://github.com/bbalouki/bbstrader
docs_sitehttps://github.com/bbalouki/bbstrader
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

66Good · 16% of overall

Security posture

57Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.5/2.5CI-Tests — 3 out of 3 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
7.5/7.5Code-Review — all changesets reviewed
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 47 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5.7
Excluded from scoring (no data or not applicable): Branch-Protection. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages94
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:bbstrader@2.3.0 runtime dependency closure — what installing the published package pulls in — 94 packages. 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.

45Weak · 4% of overall

Agent context & guidance

17Critical
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
17.4/40Legible commit history — 32 of 98 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.327
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

61Moderate
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environment — lockfile
10/10Demonstrated agent practice — 24 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 2 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.24
toolchain_manifests—
dependency_bot_commit_share0.02

Code legibility for models

54Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
54.4/55Manageable file sizes — 1/85 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes70,879
source_files_sampled85
oversized_source_files1

Machine-readable interfaces

50Moderate
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
0/20MCP server — not applicable to this kind of software
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalno
api_schema_files—
interfaces_expected_ofchat-bot
Excluded from scoring (no data or not applicable): MCP server. Remaining weights renormalized.

Key facts

15GitHub stars
2contributors
392commits, last 12 months
30days since last push
29releases
1bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

Star and fork history 0 ★ / 3 ⇿
0Stars
3Forks
12Releases

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.

12233312024-092025-032025-08
Major 0Minor 1Patch 10
OpenSSF Scorecard 5.7 / 10
5.7aggregate

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 · 2026-09-10 06:28 UTC

10Binary-Artifactsno binaries found in the repo
n/aBranch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
10CI-Tests3 out of 3 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities47 existing vulnerabilities detected
Direct dependencies 18
RegistryPackageVersion constraintManifest
PyPIbeautifulsoup4>=4.13.5pyproject.toml
PyPIcolorama>=0.4.6pyproject.toml
PyPIeodhd>=1.0.32pyproject.toml
PyPIexchange_calendars>=4.11.1pyproject.toml
PyPIfinancetoolkit>=2.0.4pyproject.toml
PyPIipython>=9.5.0pyproject.toml
PyPInotify_py>=0.3.43pyproject.toml
PyPInumpy>=2.2.6pyproject.toml
PyPIpandas>=2.0pyproject.toml
PyPIpybind11>=3.0.1pyproject.toml
PyPIpyfiglet>=1.0.4pyproject.toml
PyPIpyportfolioopt>=1.5.6pyproject.toml
PyPIpython-dotenv>=1.1.1pyproject.toml
PyPIpython-telegram-bot>=22.3pyproject.toml
PyPIPyYAML>=6.0.2pyproject.toml
PyPIQuantStats>=0.0.77pyproject.toml
PyPItabulate>=0.9.0pyproject.toml
PyPIyfinance>=0.2.65pyproject.toml
All dependencies 171

Full resolved dependency set from the GitHub dependency graph: 20 direct and 151 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIbeautifulsoup44.15.0direct
PyPIcolorama0.4.6direct
PyPIeodhd1.0.32direct
PyPIexchange-calendars4.13.2direct
PyPIfinancetoolkit2.1.4direct
PyPIipython9.15.0direct
PyPInotify-py0.3.43direct
PyPInumpy—direct
PyPInumpy2.5.1direct
PyPIpandas—direct
PyPIpandas3.0.3direct
PyPIpybind113.0.1direct
PyPIpyfiglet1.0.4direct
PyPIpyportfolioopt1.6.0direct
PyPIpython-dotenv1.2.2direct
PyPIpython-telegram-bot22.8direct
PyPIpyyaml6.0.3direct
PyPIquantstats0.0.81direct
PyPItabulate0.10.0direct
PyPIyfinance1.5.1direct
PyPIannotated-doc0.0.4indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.12.1indirect
PyPIast-serialize0.6.0indirect
PyPIasttokens3.0.1indirect
PyPIbabel2.18.0indirect
PyPIbackrefs7.0indirect
PyPIblis1.3.3indirect
PyPIbreadability0.1.20indirect
PyPIcatalogue2.0.10indirect
PyPIcertifi2026.1.4indirect
PyPIcffi2.0.0indirect
PyPIchardet5.2.0indirect
PyPIcharset-normalizer3.4.4indirect
PyPIclarabel0.11.1indirect
PyPIclick8.3.1indirect
PyPIcloudpathlib0.23.0indirect
PyPIconfection1.3.3indirect
PyPIcontourpy1.3.3indirect
PyPIcurl-cffi0.15.0indirect
PyPIcvxpy1.8.0indirect
PyPIcycler0.12.1indirect
PyPIcymem2.0.13indirect
PyPIdecorator5.2.1indirect
PyPIdefusedxml0.7.1indirect
PyPIdocopt0.6.2indirect
PyPIdocopt-ng0.9.0indirect
PyPIet-xmlfile2.0.0indirect
PyPIexecuting2.2.1indirect
PyPIfonttools4.61.1indirect
PyPIghp-import2.1.0indirect
PyPIgriffelib2.1.0indirect
PyPIh110.16.0indirect
PyPIhighspy1.12.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx0.28.1indirect
PyPIidna3.11indirect
PyPIiniconfig2.3.0indirect
PyPIipython-pygments-lexers1.1.1indirect
PyPIjedi0.19.2indirect
PyPIjeepney0.9.0indirect
PyPIjinja23.1.6indirect
PyPIjoblib1.5.3indirect
PyPIkiwisolver1.4.9indirect
PyPIkorean-lunar-calendar0.3.1indirect
PyPIlibrt0.13.0indirect
PyPIloguru0.6.0indirect
PyPIlxml6.1.1indirect
PyPIlxml-html-clean0.4.5indirect
PyPImarkdown3.10.2indirect
PyPImarkdown-it-py4.0.0indirect
PyPImarkupsafe3.0.3indirect
PyPImatplotlib3.10.8indirect
PyPImatplotlib-inline0.2.1indirect
PyPImdurl0.1.2indirect
PyPImergedeep1.3.4indirect
PyPImetatrader55.0.5735indirect
PyPImkdocs1.6.1indirect
PyPImkdocs-autorefs1.4.4indirect
PyPImkdocs-get-deps0.2.2indirect
PyPImkdocs-material9.7.7indirect
PyPImkdocs-material-extensions1.3.1indirect
PyPImkdocstrings1.0.6indirect
PyPImkdocstrings-python2.0.5indirect
PyPImultitasking0.0.12indirect
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PyPIpexpect4.9.0indirect
PyPIpillow12.1.0indirect
PyPIplatformdirs4.5.1indirect
PyPIplotly6.9.0indirect
PyPIpluggy1.6.0indirect
PyPIpraw8.0.2indirect
PyPIprawcore4.0.0indirect
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PyPIprotobuf6.33.5indirect
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PyPIptyprocess0.7.0indirect
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PyPIpyarrow25.0.0indirect
PyPIpycountry24.6.1indirect
PyPIpycparser3.0indirect
PyPIpydantic2.12.5indirect
PyPIpydantic-core2.41.5indirect
PyPIpygments2.19.2indirect
PyPIpyluach2.3.0indirect
PyPIpymdown-extensions11.0.1indirect
PyPIpyparsing3.3.2indirect
PyPIpytest9.1.1indirect
PyPIpytest-mock3.15.1indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpytz—indirect
PyPIpytz2025.2indirect
PyPIpyyaml-env-tag1.1indirect
PyPIregex2026.1.15indirect
PyPIrequests2.34.2indirect
PyPIrequests-oauthlib2.0.0indirect
PyPIrich14.3.1indirect
PyPIruff0.15.22indirect
PyPIscikit-base0.13.2indirect
PyPIscikit-learn1.8.0indirect
PyPIscipy1.17.0indirect
PyPIscs3.2.11indirect
PyPIseaborn0.13.2indirect
PyPIsetuptools80.10.2indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIsmart-open7.5.0indirect
PyPIsoupsieve2.8.3indirect
PyPIspacy3.8.14indirect
PyPIspacy-legacy3.0.12indirect
PyPIspacy-loggers1.0.5indirect
PyPIsphinx—indirect
PyPIsphinx-rtd-theme—indirect
PyPIsrsly2.5.3indirect
PyPIstack-data0.6.3indirect
PyPIsumy0.12.0indirect
PyPItextblob0.20.1indirect
PyPIthinc8.3.13indirect
PyPIthreadpoolctl3.6.0indirect
PyPItoolz1.1.0indirect
PyPItqdm4.67.1indirect
PyPItraitlets5.14.3indirect
PyPItweepy4.17.0indirect
PyPItyper0.27.0indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2025.3indirect
PyPIupdate-checker1.0.0indirect
PyPIurllib32.6.3indirect
PyPIvadersentiment3.3.2indirect
PyPIwasabi1.1.3indirect
PyPIwatchdog6.0.0indirect
PyPIwcwidth0.5.2indirect
PyPIweasel1.0.0indirect
PyPIwebsocket-client1.9.0indirect
PyPIwebsockets16.0indirect
PyPIwin32-setctime1.2.0indirect
PyPIwrapt2.0.1indirect
Dependency advisories 0

Installing pypi:bbstrader@2.3.0 pulls in 94 packages, direct and transitive: 0 carry known advisories, of which 0 are direct dependencies.

No known advisories affect the assessed dependencies.

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

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Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v2.10.0, schema v0.34.0 — full methodology · metrics wiki.

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