
Emekhon Oshina worked on the tradingview/scanner_data repository, delivering a series of targeted enhancements to market data filtering and configuration management over three months. She expanded instrument coverage and improved data segmentation by introducing new fund types and refining preset filters, enabling more precise user queries and analytics. Using C++, SQL, and YAML, Emekhon managed complex cross-file updates, maintained data accuracy by removing outdated tickers, and broadened regional market support for KRX and Peru. Her disciplined approach to version control and traceable commits ensured maintainability, while her data engineering and management skills strengthened the repository’s consistency and downstream analytical capabilities.

September 2025 – TradingView Scanner Data (Repository: tradingview/scanner_data) Key features delivered: - Market Company Fund Type Enhancements: Added 'trust' and 'closeend' as fund types across country presets to improve filtering and categorization based on fund structures. Reference: DO-5280; commit f2616db4be0a10b088ad76b171617984d7fec8db. Major bugs fixed: - None reported this month. Impact and accomplishments: - Enables more precise data segmentation and downstream analytics for market data related to fund structures, improving investor filtering workflows and decision support. - Strengthened data model consistency across international presets and prepared groundwork for future fund-type expansions. Technologies/skills demonstrated: - Data modeling and configuration changes in a scale-enabled data repository. - Version control discipline with traceable commits (DO-5280; f2616db4...).
September 2025 – TradingView Scanner Data (Repository: tradingview/scanner_data) Key features delivered: - Market Company Fund Type Enhancements: Added 'trust' and 'closeend' as fund types across country presets to improve filtering and categorization based on fund structures. Reference: DO-5280; commit f2616db4be0a10b088ad76b171617984d7fec8db. Major bugs fixed: - None reported this month. Impact and accomplishments: - Enables more precise data segmentation and downstream analytics for market data related to fund structures, improving investor filtering workflows and decision support. - Strengthened data model consistency across international presets and prepared groundwork for future fund-type expansions. Technologies/skills demonstrated: - Data modeling and configuration changes in a scale-enabled data repository. - Version control discipline with traceable commits (DO-5280; f2616db4...).
In August 2025, delivered a focused set of data and scanner updates for the tradingview/scanner_data repository to broaden regional market coverage and improve screening accuracy. The work enhanced data quality, expanded instrument coverage, and improved filtering capabilities across KRX and Peru markets, supporting better investment decision-making and user value.
In August 2025, delivered a focused set of data and scanner updates for the tradingview/scanner_data repository to broaden regional market coverage and improve screening accuracy. The work enhanced data quality, expanded instrument coverage, and improved filtering capabilities across KRX and Peru markets, supporting better investment decision-making and user value.
July 2025 monthly summary for tradingview/scanner_data: Implemented enhanced market data filtering by instrument type across presets, added support for 'stock', 'dr', and 'structured' types across america.yaml, market_company configs, and multi-country presets to refine market data filtering. Fixed data accuracy by removing expired ticker TVC:PE02Y from the bonds preset (country_top_bonds_yield_pe). These changes improve data quality, reduce data drift, and enhance user experience for market screening. Demonstrated strong commit hygiene and cross-file config management with DO-5187 and DO-3596.
July 2025 monthly summary for tradingview/scanner_data: Implemented enhanced market data filtering by instrument type across presets, added support for 'stock', 'dr', and 'structured' types across america.yaml, market_company configs, and multi-country presets to refine market data filtering. Fixed data accuracy by removing expired ticker TVC:PE02Y from the bonds preset (country_top_bonds_yield_pe). These changes improve data quality, reduce data drift, and enhance user experience for market screening. Demonstrated strong commit hygiene and cross-file config management with DO-5187 and DO-3596.
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