Industry Trend
C+ 72 completed
Other
unknown / python · small
53
Files
140,116
LOC
0
Frameworks
4
Languages
Pipeline State
completedRun ID
#393557Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
SkippedDecision
skip_scaffold_dupNovelty
37.00Framework unique
—Isolation
—Last stage change
2026-04-16 18:15:42Deduplication group #47299
Member of a group with 1 similar repo(s) — canonical #94036 view group →
Top concepts (2)
Project DescriptionWeb Backend
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AI Prompt
Create a Python-based financial analysis tool that analyzes A-share stocks across 31 Shenwan Level 1 industries. The core functionality must be to determine the trend stage (Bear Market, Bear-to-Bull Transition, Bull Market, Bull-to-Bear Transition) for each industry based on Stan Weinstein's 34-week Moving Average (MA34) analysis. Crucially, the system must use a Finite State Machine (FSM) to manage stage transitions and incorporate an Adaptive True Range (ATR14) calculation to dynamically adjust thresholds ($\alpha$, $\beta$, etc.) instead of using fixed constants, making the analysis robust across different volatility levels. The output should help identify optimal buy/sell points based on these stages.
python finance technical-analysis stock-market time-series stan-weinstein atr fsm
Generated by gemma4:latest
Catalog Information
基于温斯坦(Stan Weinstein)34 周均线阶段分析法,对 A 股 31 个申万一级行业(2021 版)进行趋势阶段判断,帮助识别各行业当前处于熊市、牛市还是转换期。
Description
基于温斯坦(Stan Weinstein)34 周均线阶段分析法,对 A 股 31 个申万一级行业(2021 版)进行趋势阶段判断,帮助识别各行业当前处于熊市、牛市还是转换期。
Novelty
3/10Tags
python finance technical-analysis stock-market time-series stan-weinstein atr fsm
Technologies
streamlit
Claude Models
claude-opus-4-6
Quality Score
C+
71.7/100
Structure
66
Code Quality
71
Documentation
68
Testing
60
Practices
77
Security
100
Dependencies
60
Strengths
- Good test coverage (44% test-to-source ratio)
- Consistent naming conventions (snake_case)
- Good security practices \u2014 no major issues detected
Weaknesses
- No LICENSE file \u2014 legal ambiguity for contributors
- No CI/CD configuration \u2014 manual testing and deployment
- 153 duplicate lines detected \u2014 consider DRY refactoring
- 2 'god files' with >500 LOC need decomposition
Recommendations
- Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
- Add a linter configuration to enforce code style consistency
- Add a LICENSE file (MIT recommended for open source)
Security & Health
5.1h
Tech Debt (A)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (0)
Repobility · severity-and-effort ranking · https://repobility.com
Unknown
License
2.7%
Duplication
Languages
Frameworks
None detected
Concepts (2)
| Category | Name | Description | Confidence | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Source: Repobility analyzer · https://repobility.com | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_description | Project Description | 基于温斯坦(Stan Weinstein)34 周均线阶段分析法,对 A 股 31 个申万一级行业(2021 版)进行趋势阶段判断,帮助识别各行业当前处于熊市、牛市还是转换期。 | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | Web Backend | web-backend | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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