Market data
Market context, historical datasets, labels, and repeatable review flows.
Software engineering case study
Green Machine
Market data, evidence review, backtesting notes, and risk context.
A software engineering case study for turning market history, structured data, assumptions, and human-reviewed risk questions into a cleaner research workflow.
market data / review
Boundary
Research software project. No recommendations, no managed accounts, no order execution.
Concept
Study first.
Market history is treated as something to test and review. The project keeps data, notes, assumptions, risks, and questions in one software workflow.
Backtesting
Test notes, assumptions, limits, and follow-up questions for software-driven review.
Risk analysis
Risk notes, uncertainty checks, and AI-assisted summaries for missed context.
Stack
- Python
- FastAPI
- React
- SQL
- pytest
- backtesting
- labels
- AI notes
What it is
- market research system
- market data analysis
- backtesting notes
- risk review
What it is not
- not recommendations
- not managed accounts
- not execution tools
- not copy systems