2233admin / machine-learning-for-trading
pythonmain4592d5b109.0K linessynced 1mo ago
Code health
8.3out of 10Excellent
This codebase scores 8.3 out of 10 on defect risk, which we rate excellent. It also scores maintainability 8.1 and static performance risk 9.8 out of 10. The three are scored separately and never blended into one number. The files you change most are the weak spot: 1 of 355 files are git hotspots, and they average 5.8.
- Lines of code
- 109.0K
Recent activity
All commitsCommits
No commits indexed yet.
Decisions
- Categorical cyclers for axes.prop_cycle. The print track pairs GRAY_CYCLER with LINESTYLE_CYCLER…proposed · 1mo ago
- Font (prefer DM Sans, fallback to system sans)proposed · 1mo ago
- Test mode: redirect to temp directory (prevents overwriting production data)proposed · 1mo ago
- Legacy: single feature set, join directlyproposed · 1mo ago
- Filter out constant entity columns (e.g. instrument_id='straddle_30d_atm') that break…proposed · 1mo ago
- Continuous-return label that classification predictions are scored against. None for regression…proposed · 1mo ago
Needs attention
494 open- medium severity. ProposedCategorical cyclers for `axes.prop_cycle`. The print track pairs GRAY_CYCLER with LINESTYLE_CYCLER…Auto-proposed decision awaiting review
- medium severity. ProposedFont (prefer DM Sans, fallback to system sans)Auto-proposed decision awaiting review
- medium severity. ProposedTest mode: redirect to temp directory (prevents overwriting production data)Auto-proposed decision awaiting review
- medium severity. ProposedLegacy: single feature set, join directlyAuto-proposed decision awaiting review
- medium severity. ProposedFilter out constant entity columns (e.g. instrument_id='straddle_30d_atm') that break…Auto-proposed decision awaiting review
Where the risk concentrates
All 1 hotspotsRanked by prior bug fixes and change frequency, mined from full git history rather than from the code alone.
| File | Churn | Prior fixes | Maintainers | Commits 90d |
|---|---|---|---|---|
| download_all.pydata | 99.6th | 2 | 1bus factor 1 | 3 |
Composition
Open the graphpython 79%markdown 12%yaml 7%toml 1%dockerfile 1%Other 0%
Explore this codebase
- Docs0 pages across 75 modules
- ChatAsk this codebase a question and get an answer with its sources
- Files355 files with per-file docs, health and history
- ArchitectureDependency graph, layers, and 0 entry points
- Code healthPer-file scores, 1,356 open findings, coverage and refactoring targets
- Knowledge graphEntities, communities, and the paths between them
- Change couplingFiles that keep changing together, mined from commit history
- CommitsChange-risk ranked history with agent provenance
- ContributorsBus factor, per-file maintainers, and the human/agent split
- StatsSize class, origin, lifetime churn, rhythm and records
- CostsWhat indexing this snapshot cost, by model and by run