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Soham edited this page Jul 24, 2026
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A survivability-first quantitative research & decision system, applied to algorithmic trading (India + US).
Debate before you build. Prove before you risk. Preserve the Core, always.
The canonical documentation is version-controlled in the repo's
docs/ folder. This wiki is just a map to it:
- Methodology — the LLM Council & two-layer screening (the interesting part).
- Philosophy — goals, the Dual Barbell, survive-don't-predict.
- Roadmap — the gated phases and their exit gates.
- Decision log — every council verdict, dated.
- Concepts & methods — the quant/ML/systems methods, built vs planned.
- Safe agentic development — how an AI coding agent builds this without ever touching real money.
How ARIA differs from the typical "AI trading bot": LLMs debate the design; they never place trades. Paper-first, no leverage, nothing goes live until a strategy is proven honestly (deflated Sharpe). See the README.
Status: Phase 0 complete → entering Phase 1 (validating strategy edge on free platforms before building anything custom).