Whichticker
D 50 completed
Cli Tool
web_app / python · tiny
16
Files
2,586
LOC
1
Frameworks
8
Languages
Pipeline State
completedRun ID
#354029Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
CatalogedDecision
proceedNovelty
46.10Framework unique
—Isolation
—Last stage change
2026-05-10 03:35:28Deduplication group #56484
Member of a group with 4 similar repo(s) — canonical #29730 view group →
Top concepts (2)
Project DescriptionWeb Backend
Repobility — the code-quality scanner for AI-generated software · https://repobility.com
AI Prompt
I want to build a web application using Python and FastAPI that helps users compare and predict the performance of different stock tickers. The tool should analyze market data to provide insights. Please structure the project to handle the core logic for analysis and signal generation, and ensure it's set up as a functional web app.
python fastapi web-app stock finance prediction market-data
Generated by gemma4:latest
Catalog Information
This project provides a tool to compare and predict the performance of different stock tickers.
Description
Whichticker is a Python-based application that allows users to input multiple stock tickers and receive predictions on which one will outperform the others. The project utilizes various libraries such as numpy, pandas, and scipy for data analysis and manipulation. It does not require any database connection and can be run using uvicorn.
الوصف
هذا المشروع يقدم أداة لتحليل وتوقع أداء أسهم مختلفة. يمكن للمستخدمين إدخال عدة رموز سوقية وتلقي توقعات حول التي من بينها ستتجاوز الآخرات. يستخدم المشروع مكتبات مثل numpy, pandas, و scipy للتحليل والتعديل البياني، ولا يحتاج إلى اتصال قاعدة بيانات ويمكن تشغيله باستخدام uvicorn.
Novelty
5/10Tags
stock-analysis prediction-model data-comparison financial-tools market-prediction investment-advice
Technologies
anthropic fastapi numpy pandas scipy uvicorn
Claude Models
claude-opus-4.6
Quality Score
D
50.2/100
Structure
41
Code Quality
60
Documentation
62
Testing
0
Practices
58
Security
90
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
- Potential hardcoded secrets in 1 files
- 252 duplicate lines detected \u2014 consider DRY refactoring
- 1 '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)
- Move hardcoded secrets to environment variables or a secrets manager
Security & Health
5.8h
Tech Debt (D)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (5)
Repobility · code-quality intelligence · https://repobility.com
Unknown
License
2.8%
Duplication
Languages
Frameworks
FastAPI
Concepts (2)
| Category | Name | Description | Confidence | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Want fix-PRs on findings? Install Repobility's GitHub App · github.com/apps/repobility-bot | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_description | Project Description | Which ticker will outperform?? | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | Web Backend | web-backend | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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