Architecture pillars
Agentic research
A continuous pipeline of specialist reasoners — cross-market risk, institutional flow, sector rotation, momentum and reversal patterns, longer-horizon trend awareness. Each produces a structured artifact; a synthesis agent assembles a ranked briefing the primary reasoning agent inherits.
LLM reasoning engine
A bounded ReAct loop with a tool registry over raw market data — not pre-cooked composite scores. Technicals, fundamentals, options flow, institutional flow, reference commentary, reversal trajectory, relative strength, and intraday indicators are callable tools.
Human approval gateway
A non-bypassable node in the execution graph. Every trade proposal is routed to a human operator via Slack. No order reaches the brokerage API without an affirmative tap. Enforced by construction — there is no other execution path.
Intraday entry and exit timing
A separate agent decides when within the trading day to open — and close — an approved position. Pattern-based entry timing sits behind a universal risk gate; volatility-aware exit guardrails manage the close.
Full audit trail
Every decision, action, and outcome lands in an append-only ledger, linked so any fill traces back to the reasoning that produced it. Complete by construction — meeting the audit-trail requirements the EU AI Act in regulated industries.
Evaluation and reflection loops
Trajectories are graded per-fill by returns math and an LLM judge once outcomes settle; end-of-day and monthly post-mortems review the broader corpus. Aggregate verdicts feed a calibration layer injected into the next round of reasoning. Learning without gradient updates.