Algo-Quant-Backtester- CoreyLeath-code · PARTIAL
The AlgoQuant Backtester & Signal Engine is an end-to-end DevMLOps platform for developing, validating, and deploying algorithmic trading strategies.
github.com/CoreyLeath-code/Algo-Quant-Backtester- · ★ 6 · Forks 1 · Size 258 KB
SUMMARY
Technologies 19
Scored 17
Observed 17
Practices 6
Evidence 21
Skips 2
COVERAGE
Analyzed 75 files · 115 commits · 0 API calls
TECHNOLOGIES & DEPTH
Dockerfile LANGUAGE Depth 70
1 files · PRODUCTION
Shell LANGUAGE Depth 70
1 files · PRODUCTION
Terraform LANGUAGE Depth 70
5 files · PRODUCTION
JavaScript LANGUAGE Depth 70
1 files · PRODUCTION
JSON LANGUAGE Depth 70
2 files · PRODUCTION
Markdown LANGUAGE Depth 70
6 files · PRODUCTION
TOML LANGUAGE Depth 70
1 files · PRODUCTION
YAML LANGUAGE Depth 70
18 files · PRODUCTION
Python LANGUAGE Depth 70
28 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
Poetry BUILD_TOOL Depth 80
1 files · CONFIGURATION
Apache Kafka MESSAGE_BROKER Depth 81
2 files · CONFIGURATION, PRODUCTION
NumPy LIBRARY Depth 78
10 files · PRODUCTION
Pydantic LIBRARY Depth 45
1 files · PRODUCTION
Ruff QUALITY Depth —
0 files · config only
SQLAlchemy LIBRARY Depth 53
1 files · PRODUCTION
pandas LIBRARY Depth 81
17 files · PRODUCTION, TEST
pytest TESTING Depth 41
2 files · TEST
python-dotenv LIBRARY Depth —
0 files · config only
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · observedlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-06-09
Last commit 2026-08-28
Active months 6
Commits 115