Trading is all about Time-Series data. We chose QuestDB for its blazing fast ingestion and query performance for high-frequency market data and backtesting results. It handles millions of rows effortlessly where traditional SQL struggles.
Claude Code was effectively my co-founder. I heavily relied on its Agent Skills to orchestrate complex development workflows. It didn't just write code; it intelligently called the right agents for the job, allowing a single developer to build an institutional-grade system.
Supabase gave me Authentication and a robust PostgreSQL database out of the box without managing any infrastructure. It allowed me to focus on the trading engine logic instead of backend boilerplate.
We built a specialized Multi-Agent architecture. We leverage GPT-5 for high-level intent planning and orchestration, while routing specific sub-tasks like market scanning and backtesting to GPT-4o-mini. This hybrid approach gives us the best balance of deep reasoning and low latency.
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