tauricresearch / tradingagents
pythonmain04f434e10.3K linessynced 1mo ago
Code health
7.2out of 10Good
This codebase scores 7.2 out of 10 on defect risk, which we rate good. The files you change most are the weak spot: 18 of 107 files are git hotspots, and they average 5.3.
- Lines of code
- 10.3K
Recent activity
All commitsCommits
No commits indexed yet.
Decisions
- Treat empty/columnless cached frames as cache missesproposed
- Prevent cache path traversal when interpolating symbolsproposed
- Cache OHLCV data with look-ahead preventionproposed
- Normalize date column name to Dateproposed
- Retry yfinance calls only for rate limitsproposed
- Centralize structured-output invocation with graceful fallback to prevent pipeline blockingproposed
Needs attention
52 open- medium severity. ProposedTreat empty/columnless cached frames as cache missesAuto-proposed decision awaiting review
- medium severity. ProposedPrevent cache path traversal when interpolating symbolsAuto-proposed decision awaiting review
- medium severity. ProposedCache OHLCV data with look-ahead preventionAuto-proposed decision awaiting review
- medium severity. ProposedNormalize date column name to DateAuto-proposed decision awaiting review
- medium severity. ProposedRetry yfinance calls only for rate limitsAuto-proposed decision awaiting review
Where the risk concentrates
All 18 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 |
|---|---|---|---|---|
| main.pycli | 99.0th | 14 | 7 | 25 |
| utils.pycli | 98.0th | 4 | 7 | 19 |
| test_memory_log.pytests | 97.1th | 0 | 2bus factor 1 | 6 |
| memory.pytradingagents/agents/utils | 96.1th | 1 | 7 | 4 |
| trading_graph.pytradingagents/graph | 95.1th | 10 | 9 | 14 |
Composition
Open the graphpython 95%markdown 2%dockerfile 1%yaml 1%toml 1%
Explore this codebase
- Docs0 pages across 15 modules
- ChatAsk this codebase a question and get an answer with its sources
- Files107 files with per-file docs, health and history
- ArchitectureDependency graph, layers, and 2 entry points
- Code healthPer-file scores, 267 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