MUNQuantSociety/MQSMaster
Dec 2025 – Dec 2025
1 Month active
Languages Used
Python
Technical Skills
API integrationPandasPythonSeleniumasynchronous programmingdata analysis
Lodo Loro
PROFILE
Lodo Loro
During December 2025, Lodoloro expanded MQSMaster’s news ingestion by building a symbol-based financial news pipeline that scrapes and consolidates data from multiple sources, including Yahoo Finance and Alpha Vantage. Using Python, Pandas, and Selenium, Lodoloro implemented dynamic scraper orchestration and robust cross-source duplicate detection, ensuring clean, unified news per stock symbol. The work included refactoring to remove outdated scrapers and standardize output, improving maintainability and scalability. This end-to-end workflow fetches, parses, and stores market and economic news, laying a foundation for future analytics. The engineering demonstrated depth in data processing, asynchronous programming, and modular pipeline design within MQSMaster.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
1
Lines of code
965
Activity Months1
Your Network
13 people
Work History
December 2025
4 Commits • 1 Features
Dec 1, 2025December 2025: MQSMaster’s news ingestion capability expanded to comprehensive, symbol-based financial news via multi-source scraping (Yahoo Finance, Alpha Vantage) with robust cross-source duplicate detection and dynamic scraper execution. Refactors removed outdated scrapers and improved maintainability. End-to-end workflow now fetches, parses, and stores market and economic news tied to stock symbols, enabling richer data for investment insights. Technologies demonstrated include Python-based multi-source scraping, data deduplication, dynamic scraper orchestration, and a maintainable data pipeline that supports scalable future data retrieval.
4 Commits • 1 Features
Dec 1, 2025December 2025: MQSMaster’s news ingestion capability expanded to comprehensive, symbol-based financial news via multi-source scraping (Yahoo Finance, Alpha Vantage) with robust cross-source duplicate detection and dynamic scraper execution. Refactors removed outdated scrapers and improved maintainability. End-to-end workflow now fetches, parses, and stores market and economic news tied to stock symbols, enabling richer data for investment insights. Technologies demonstrated include Python-based multi-source scraping, data deduplication, dynamic scraper orchestration, and a maintainable data pipeline that supports scalable future data retrieval.
December 2025
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance75.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
API integrationPandasPythonSeleniumasynchronous programmingdata analysisdata processingdata scrapingweb scraping
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