Hit Astocker

C 64 completed
Cli Tool
cli / python · small
173
Files
16,799
LOC
1
Frameworks
3
Languages

Pipeline State

completed
Run ID
#364841
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
41.67
Framework unique
Isolation
Last stage change
2026-04-16 18:15:42
Deduplication group #47626
Member of a group with 2 similar repo(s) — canonical #93576 view group →
Top concepts (2)
Project DescriptionTesting
About: code-quality intelligence by Repobility · https://repobility.com

AI Prompt

Create a command-line tool in Python for quantitative analysis of A-Stock limit-up board hitting. I need it to perform several analyses, including Market Sentiment Scoring, First-Board Analysis, Consecutive Board Ladder tracking, Sector Rotation Tracking, Dragon-Tiger Board Analysis, and Money Flow Analysis. The tool should generate comprehensive signals with multi-factor scoring and risk grading. It needs to support syncing data using Tushare Pro APIs and include functionality for backtesting over specified date ranges. The output should be displayed using Rich Terminal Output.
python cli quantitative finance trading data-analysis pytest tushare
Generated by gemma4:latest

Catalog Information

A command-line tool that performs quantitative analysis of A-Stock limit-up board hitting to aid traders in making data-driven decisions.

Description

The system provides a comprehensive framework for analyzing limit‑up events on the A‑Stock market. It ingests historical price and volume data, applies statistical and machine‑learning techniques to identify patterns, and evaluates predictive models for future limit‑ups. Users interact through a clean CLI powered by Typer, with rich terminal output and optional export of results to CSV or PDF. The tool is designed for traders and analysts who need rapid, reproducible insights into market dynamics. It integrates data handling, modeling, and visualization in a single, easy‑to‑use package.

الوصف

يقدم النظام إطار عمل شامل لتحليل أحداث الارتفاع الحدّية في سوق A‑ستوك. يستورد البيانات التاريخية للأسعار والحجم، ويطبق تقنيات إحصائية وتعلم الآلة لتحديد الأنماط، ويقيّم نماذج تنبؤية للأحداث المستقبلية. يتفاعل المستخدمون عبر واجهة سطر أوامر نظيفة مدعومة بـ Typer، مع إخراج غني في الطرفية وخيار تصدير النتائج إلى CSV أو PDF. صُمم الأداة للمتداولين والمحللين الذين يحتاجون إلى رؤى سريعة وقابلة للتكرار حول ديناميكيات السوق. يدمج النظام معالجة البيانات، والنمذجة، والتصور في حزمة واحدة سهلة الاستخدام. يتيح للمستخدمين إنشاء تقارير تفاعلية، وتحديد مؤشرات التداول، وتصدير الأفكار العملية لإدارة المحافظ. يختلف عن الحلول التقليدية بتركيزه على الحدّية والقدرة على التنبؤ بالتحركات السريعة في السوق.

Novelty

7/10

Tags

quantitative-trading stock-market-analysis limit-up-detection predictive-modeling data-visualization risk-assessment financial-analytics

Technologies

numpy openai pandas pydantic rich scikit-learn typer

Claude Models

claude-opus-4.6 claude-sonnet-4.6

Quality Score

C
63.5/100
Structure
72
Code Quality
64
Documentation
70
Testing
50
Practices
59
Security
65
Dependencies
60

Strengths

  • 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
  • 907 duplicate lines detected \u2014 consider DRY refactoring
  • 4 '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)

Security & Health

8.3h
Tech Debt (B)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (1)
Repobility's GitHub App fixes findings like these · https://github.com/apps/repobility-bot
Unknown
License
3.4%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

python
95.6%
markdown
4.1%
toml
0.2%

Frameworks

pytest

Concepts (2)

Findings produced by Repobility · scan your repo at https://repobility.com/scan/
CategoryNameDescriptionConfidence
Repobility · open methodology · https://repobility.com/research/
auto_descriptionProject DescriptionA-Stock limit-up board hitting quantitative trading analysis system (A股打板量化分析系统)80%
auto_categoryTestingtesting70%

Quality Timeline

1 quality score recorded.

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