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Trading OS.

An analysis engine you can instruct in plain language, running scheduled AI routines against live markets and reporting back on its own.

Trading OS splash art
PROBLEM
Market analysis tools are either manual dashboards that need constant attention, or opaque algorithms you can't direct. Neither takes instructions.
APPROACH
Treat analysis as a set of standing instructions. About a dozen scheduled AI routines run daily, each with a defined mandate, writing findings to Notion. Crypto accumulation and an equities "Moonshot" module run as A/B paper-trading experiments before any real execution.
ARCHITECTURE
A Next.js 15 dashboard over a Python backend. Signals come from a custom Pine Script v6 microstructure indicator suite covering VPIN, Kyle's lambda and entropy composites, validated by a walk-forward backtest engine in NumPy and Numba.
STACK
Next.js, React 19, Python, NumPy, Numba, Pine Script v6, Claude, Notion API.
OUTCOME
Running daily since spring 2026. The equities module shipped in May. Live execution is deliberately deferred until the paper record earns it.
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