Rigato Research
A market and equity research workspace covering stock fundamentals, macro indicators, commodities, forex, market news, watchlists, portfolio tracking, and AI assisted research in one place.
Use Cases
- 01
Equity deep-dives: generate a structured 9-pillar research memo on any covered stock in minutes instead of days of manual spreadsheet work.
- 02
Conversational research: ask the AI chat assistant about platform data and investment context instead of digging through multiple tabs.
- 03
Macro awareness: monitor the economic calendar, central bank policy rates, and forex movements from a single dashboard.
- 04
Idea management: organize stocks into watchlists and track portfolio positions alongside their research.
Challenges
- 01
Investment research was scattered across fundamentals data, macro indicators, commodities, forex, and market news analysts had to juggle multiple disconnected sources to form a single thesis.
- 02
Producing consistent equity analysis is hard: every memo needs the same 9-pillar rigor (business quality, financial health, growth, profitability, valuation, technical trend, risk, thesis, score) without analyst-to-analyst variance.
- 03
Market data goes stale fast the platform needed live macro ingestion running side by side with heavy AI workloads without degrading the workspace experience.
Solutions
- 01
Built a unified research workspace with a Laravel backend and React frontend, bringing fundamentals, watchlists, portfolio tracking, and AI-assisted research into one place.
- 02
Implemented the 9-pillar AI research memo pipeline with Python workers and Qdrant retrieval over live platform data, producing consistent structured analysis with an overall Rigato Score.
- 03
Separated concerns for performance: asynchronous AI processing via Laravel Queue, Redis caching for hot market data, and containerized Python services via Podman keeping the workspace responsive under load.
Shipped the production workspace experience end to end.