Is Backtesting Framework Safe?

Backtesting Framework — Nerq Trust Score 53.2/100 (C- grade). Based on analysis of 2 trust dimensions, it is has notable safety concerns. Last updated: 2026-07-26.

Use Backtesting Framework with some caution. Backtesting Framework is a Python package with a Nerq Trust Score of 53.2/100 (C-), based on 3 independent data dimensions. Below the recommended threshold of 70. Security: 90/100. Popularity: 0/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-25. Machine-readable data (JSON).

Safety Guide: Backtesting Framework

What is Backtesting Framework?

Backtesting Framework is a Python package — A comprehensive backtesting framework designed to evaluate and compare various investment strategies using historical data. This framework enables users to implement, test, and analyze trading strateg.

How to Verify Safety

Run pip audit or safety check. Review on PyPI for download stats.

You can also check the trust score via API: GET /v1/preflight?target=Backtesting-Framework

Key Safety Concerns for Python package

When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.

Trust Assessment

Backtesting Framework has a Nerq Trust Score of 53/100 (C-) and has not yet reached Nerq trust threshold (70+). This score is based on automated analysis of security, maintenance, community, and quality signals.

Key Takeaways

• Backtesting Framework has a Trust Score of 53/100 (C-).
• Review carefully before use — below trust threshold.
• Always verify independently using the Nerq API.

Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.