What is Backtesting-Framework?
Backtesting-Framework is a pypi that 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. It has a Nerq Trust Score of 53/100 (C-). 0 GitHub stars. Published by BOUSSAID Nassim. Last analyzed July 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 0 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What Backtesting-Framework Does
Backtesting-Framework is a pypi in the pypi category. 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 strategies by providing detailed performance metrics and customizable visualizations. It supports data input in CSV or Parquet formats and offers multiple visualization backends, including matplotlib, seabor. It is published by BOUSSAID Nassim and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use Backtesting-Framework
Backtesting-Framework is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | BOUSSAID Nassim |
|---|---|
| Category | pypi |
| License | Not specified |
| Type | pypi |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=backtesting-framework
Setup guide · Full safety report · Production review · Is it safe?
Frequently Asked Questions
Last updated July 2026. Trust scores based on automated analysis of public data.