Quantitative research and market strategy built on premium data.
Data Science Trading Analysis is a founder-led research firm focused on data acquisition, signal research, and systematic execution design. We are building a durable data stack to explore robust strategies across global markets.
Current Focus
Data sourcing
Feature engineering
Signal research
Risk analytics
Seeking trusted data partners with transparent licensing and institutional-grade coverage.
Capabilities
Data Engineering
Ingestion pipelines, normalization, and audit-ready lineage to support repeatable research.
Quant Research
Hypothesis-driven modeling, cross-validation, and regime analysis across asset classes.
Execution Design
Portfolio construction, constraints, and risk controls aligned to measurable objectives.
Data partner profile
Preferred coverage
- Equities, options, and futures history with corporate actions
- Alternative data with clear provenance and update cadences
- Event calendars and macro indicators
Operational requirements
- Transparent licensing and research-use terms
- SLAs, documentation, and sample files for evaluation
- Secure delivery methods with access controls
Governance & compliance posture
Research integrity
Workflows emphasize reproducibility, peer review, and rigorous documentation. Internal controls are designed to protect data, models, and IP.
Important disclosure
Data Science Trading Analysis is currently a research-focused firm. We do not provide investment advice or manage client funds at this time.