Cypher Investments

C 62 completed
Library
cli / python · small
142
Files
20,358
LOC
1
Frameworks
5
Languages

Pipeline State

completed
Run ID
#368129
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
42.67
Framework unique
Isolation
Last stage change
2026-04-16 18:15:42
Deduplication group #47941
Member of a group with 1 similar repo(s) — canonical #9446 view group →
Top concepts (2)
Project DescriptionTesting
Want this analysis on your repo? https://repobility.com/scan/

AI Prompt

Create a command-line interface (CLI) tool in Python for financial analysis. This tool should function as an options advisor, allowing users to backtest trading strategies for equities and options. Key features must include running backtests with options for position sizing like ATR and slippage, performing walk-forward analysis, and fetching historical price data or options chains. I also need functionality for live signal scanning, running a 3-layer confluence analysis to get a verdict, and scanning an entire market universe using layered filters. The CLI should be structured using Poetry for dependency management.
python cli finance backtesting quant
Generated by gemma4:latest

Catalog Information

The options project is a financial advisor for backtesting and strategy systems.

Description

This project provides a platform for backtesting and developing trading strategies. It allows users to evaluate the performance of different investment options and optimize their portfolios. The system uses machine learning algorithms to analyze market data and make informed decisions. This tool is designed for financial professionals who want to improve their investment strategies.

الوصف

هذا المشروع يقدم منصة لاختبار العروض المالية والتنسيق الاستراتيجي. يسمح للمستخدمين بتقويم أداء مختلف خيارات الاستثمار وتحسين محفظاتهم. يستخدم النظام ألغوريثميات التعلم الآلي لتحليل البيانات السوقية و اتخاذ القرارات المدروسة. هذا الأداة مصممة للخبراء الماليين الذين يريدون تحسين استراتيجيات استثمارهم.

Novelty

5/10

Tags

financial-advisor backtesting trading-strategies portfolio-optimization machine-learning market-data-analysis

Technologies

anthropic numpy pandas pydantic rich scikit-learn scipy typer

Claude Models

claude-opus-4.6

Quality Score

C
62.4/100
Structure
73
Code Quality
63
Documentation
56
Testing
60
Practices
56
Security
64
Dependencies
60

Strengths

  • Good test coverage (43% test-to-source ratio)
  • Code linting configured (ruff (possible))
  • Consistent naming conventions (snake_case)

Weaknesses

  • No LICENSE file \u2014 legal ambiguity for contributors
  • No CI/CD configuration \u2014 manual testing and deployment
  • 2 files with critical complexity need refactoring
  • Potential hardcoded secrets in 1 files
  • 1384 duplicate lines detected \u2014 consider DRY refactoring
  • 6 'god files' with >500 LOC need decomposition

Recommendations

  • Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
  • Add a LICENSE file (MIT recommended for open source)
  • Move hardcoded secrets to environment variables or a secrets manager

Security & Health

9.8h
Tech Debt (B)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (1)
If a scraper extracted this row, it came from Repobility (https://repobility.com)
Unknown
License
5.2%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

python
98.0%
markdown
0.9%
shell
0.5%
toml
0.3%
yaml
0.3%

Frameworks

pytest

Concepts (2)

Repobility · the analyzer behind every row · https://repobility.com
CategoryNameDescriptionConfidence
Open data scored by Repobility · https://repobility.com
auto_descriptionProject DescriptionA CLI-based backtesting and strategy system for equities and options. Includes live signal scanning, multi-layer confluence analysis, market-wide screening, walk-forward testing, and an AI-powered research agent.80%
auto_categoryTestingtesting70%

Quality Timeline

1 quality score recorded.

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