blueprint-review

Automating PM compliance and security audits before a pull request involves running sequential checks for vulnerability screening, backtest validation, and code quality. This generates a PM-compliant PR package with detailed audit reports and rationale.

A multi-phase code review for trading strategies executes PM regression tests, security vulnerability checks, and anti-pattern screening in sequence. It validates backtest performance and generates comprehensive documentation supporting audit trails prior to merging.

Backtest validation and anti-pattern screening are needed after strategy development completes and tests pass, but before PR creation. This phase ensures production readiness by catching performance regressions and code vulnerabilities before merging.

Yes, generating a PM-compliant PR with detailed audit reports is achieved by executing automated PM compliance, security, and quality checks. The output includes a complete PR package with context and rationale for stakeholder review.

The best way to perform security audits and code quality checks for algorithmic trading pull requests is automating a sequential review workflow. This validates PM compliance, screens for vulnerabilities, and documents backtest results before merging.

No, automated code review requires strategy development to complete and tests to pass first. The workflow depends on finished strategy code to accurately perform PM regression tests, backtest validation, and security vulnerability checks.