Assetpicker
F 50 completed
Web App
unknown / python · tiny
18
Files
7,156
LOC
0
Frameworks
6
Languages
Pipeline State
completedRun ID
#348135Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
SkippedDecision
skip_scaffold_dupNovelty
37.67Framework unique
—Isolation
—Last stage change
2026-04-16 18:15:42Deduplication group #47544
Member of a group with 2 similar repo(s) — canonical #14176 view group →
Top concepts (2)
Project DescriptionWeb Backend
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AI Prompt
Create a sophisticated cryptocurrency screening tool called AssetPicker using Python, Streamlit, and Plotly. I need it to perform multi-factor technical analysis on 48 crypto assets across four sectors. The tool must detect investment opportunities by analyzing factors like RSI divergence, Z-Score statistical extremes, market regime shifts, and funding rate positioning. Please structure the dashboard to show an opportunity leaderboard and provide detailed analysis for confluence detection, moving beyond simple RSI screening. The setup should use the CoinGecko Pro API.
python streamlit plotly cryptocurrency technical-analysis finance data-visualization crypto-screener
Generated by gemma4:latest
Catalog Information
AssetPicker is a sophisticated cryptocurrency screening tool that identifies investment opportunities through multi-factor technical analysis for personal use.
Description
AssetPicker monitors 48 cryptocurrency assets across four sectors and identifies potential investment opportunities using a multi-factor analysis system. It combines multiple confirming factors to surface high-conviction setups, going beyond basic RSI screening to detect statistical extremes, market regime shifts, divergence confluences, and high-conviction trade setups.
الوصف
يستخدم AssetPicker نظام تحليل متعدد العوامل لتحديد فرص الاستثمار في 48 من العملات الرقمية عبر أربعة قطاعات. يجمع بين عوامل مؤكدة متعددة لتمييز إعدادات الثقة العالية، مما يتجاوز التحليل التقني الأساسي للرسي.
Novelty
7/10Tags
cryptocurrency-screening multi-factor-analysis investment-opportunities technical-analysis market-regime-shifts divergence-confluences
Technologies
pandas plotly streamlit
Claude Models
claude-opus-4.5
Quality Score
F
49.5/100
Structure
44
Code Quality
38
Documentation
64
Testing
0
Practices
82
Security
92
Dependencies
60
Strengths
- Consistent naming conventions (snake_case)
- Good security practices \u2014 no major issues detected
Weaknesses
- No LICENSE file \u2014 legal ambiguity for contributors
- No tests found \u2014 high risk of regressions
- No CI/CD configuration \u2014 manual testing and deployment
- 1415 duplicate lines detected \u2014 consider DRY refactoring
- 3 'god files' with >500 LOC need decomposition
Recommendations
- Add a test suite \u2014 start with critical path integration tests
- 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
5.6h
Tech Debt (B)
A
OWASP (100%)
FAIL
Quality Gate
A
Risk (14)
Repobility (the analyzer behind this table) · https://repobility.com
Unknown
License
7.5%
Duplication
Languages
Frameworks
None detected
Concepts (2)
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| auto_description | Project Description | A sophisticated cryptocurrency screening tool that identifies investment opportunities through multi-factor technical analysis. Built for personal use, AssetPicker goes beyond basic RSI screening to detect statistical extremes, market regime shifts, divergence confluences, and high-conviction trade | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | Web Backend | web-backend | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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