Quantitative Research Tooling
Analytics systems engineered to transform large historical datasets into actionable decision support for institutional investors and traders.
Tara Data Research LLC builds and operates quantitative research platforms and publishing systems grounded in historical market data. We are the parent company behind TradeWave.ai™ and SeasonalMarketNews.com.
Founder-Engineer | Quantitative Research
Afshin Moshrefi is a founder-engineer and quantitative researcher with deep expertise in machine learning and data science. After completing formal training in AI/ML through Andrew Ng's specialization courses in 2017, he worked as an AI researcher at Codametrix, developing applied machine learning systems for medical coding and real-world production environments.
The vision for TradeWave™ originated over 20 years ago, but the technical capability to build such a sophisticated platform required modern AI and data engineering expertise. By combining decades of market observation with cutting-edge machine learning and quantitative methods, Afshin built the infrastructure that powers TradeWave's seasonal analytics and pattern research capabilities.
Machine learning, data engineering, quantitative research, and systematic pattern analysis
Evidence first, narratives second. Building reproducible research systems and data-driven tools
We specialize in building repeatable research workflows: data pipelines, quantitative analytics, and clear presentation of actionable insights.
Analytics systems engineered to transform large historical datasets into actionable decision support for institutional investors and traders.
Robust operational infrastructure for data ingestion, processing, validation, and publication at scale with institutional-grade reliability.
Professional content platforms built around rigorous data definitions, transparent methodologies, and reproducible research standards.
Our flagship properties deliver data-driven market intelligence to investors and traders worldwide.
Advanced seasonal analytics and pattern research platform for securities. Quantifies historical price behavior across multiple time windows, market regimes, and statistical frameworks to identify recurring patterns and seasonal trends.
Visit TradeWave.aiProfessional market analysis and seasonal regime coverage presented in an institutional newsroom format. Delivers data-backed insights, historical context, and quantitative research to help investors understand current market conditions and seasonal dynamics.
Visit SeasonalMarketNews.comWe maintain clear distinctions between observed historical data and forward-looking expectations. Past performance does not guarantee future results.
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