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WANG YIHAN

PROFILE

Wang Yihan

Over three months, Nusduck developed core analytics and data infrastructure for the nusduck/qf5214_StockAgent repository, focusing on stock fundamentals analysis and financial data extraction. They designed and implemented a Pydantic-based input model and SQL-backed storage schema to enable reliable, persistent financial metric retrieval and historical analysis. Nusduck enhanced agent-driven analysis by integrating API data sources, refining prompt engineering, and improving state management for comprehensive stock evaluation. Their work included technical writing, dependency management, and code refactoring in Python and SQL, resulting in maintainable, well-documented tools that streamline onboarding, improve data accuracy, and support scalable, decision-oriented financial analytics for investment insights.

Overall Statistics

Feature vs Bugs

80%Features

Repository Contributions

17Total
Bugs
2
Commits
17
Features
8
Lines of code
4,591
Activity Months3

Work History

April 2025

10 Commits • 5 Features

Apr 1, 2025

April 2025 highlights for nusduck/qf5214_StockAgent: Delivered core project documentation, improved fundamentals prompts and formatting, corrected fundamentals metrics scaling, simplified outputs by removing stock names, refactored indicator tools for better data handling, and updated dependencies to enable new data access capabilities. These changes enhance maintainability, data accuracy, and onboarding, while delivering more reliable, streamlined stock fundamentals analyses for business decision-making.

March 2025

4 Commits • 1 Features

Mar 1, 2025

March 2025 performance summary for nusduck/qf5214_StockAgent: Delivered key enhancements to the Fundamentals Agent enabling comprehensive stock fundamental analysis with metrics integration, stock information, web search capabilities, and a new tool to fetch trading indicator data; updated state management and refactored prompts for data collection, fundamental, technical, and adversarial analyses. Resolved repository merge conflicts and cleaned up outdated testing scripts and visualizations, reducing maintenance overhead. Overall, these efforts deepened data quality and analysis capability while improving system reliability, setting the stage for scalable analytics and faster decision support for investment insights. Technologies demonstrated include agent-based prompts, data integration, state management patterns, prompt templating, web search integration, and Git hygiene.

February 2025

3 Commits • 2 Features

Feb 1, 2025

February 2025 monthly performance summary for nusduck/qf5214_StockAgent. Focused on delivering foundational stock analytics capabilities and a scalable data storage schema to support reliable financial metric extraction, filtering, and persistent storage for business reporting and decision-making.

Activity

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Quality Metrics

Correctness84.2%
Maintainability85.8%
Architecture80.6%
Performance77.6%
AI Usage35.2%

Skills & Technologies

Programming Languages

MarkdownPythonSQLText

Technical Skills

API IntegrationAgent DevelopmentBackend DevelopmentCode MaintenanceData AnalysisData EngineeringData ExtractionData ProcessingDatabase ManagementDependency ManagementDocumentationFinancial AnalysisFinancial DataFinancial ModelingGit

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

nusduck/qf5214_StockAgent

Feb 2025 Apr 2025
3 Months active

Languages Used

MarkdownPythonSQLText

Technical Skills

API IntegrationData AnalysisData EngineeringDatabase ManagementFinancial AnalysisFinancial Data

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