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02Paper-trading toward go-live

Quantum HTC

Language models argue, mechanical rules decide, nobody touches the keyboard.

  • Python
  • Opus/Sonnet/Haiku
  • Multi-Agent
  • Tradier
  • 0DTE
  • Railway
  • SQLite
  • Discord
BULLBEARTECHSENTRISKCONSENSUSFIG.02swarm graph

An autonomous multi-agent AI trading system. A five-agent adversarial swarm debates the market, an Opus strategist sets the morning thesis, and a 45-second execution loop trades it — while deterministic rules retain absolute veto power over every LLM.

Role
Architect & sole engineer
Status
Paper-trading toward go-live
Access
Private — architecture & status only
Problem

Discretionary trading is emotional and inconsistent; pure-LLM trading is non-deterministic and unsafe. The goal was a system that could reason like an analyst yet behave like a machine — and that no human (including its author) could nudge mid-session.

Architecture

A five-agent adversarial swarm (Bull, Bear, Technical, Sentiment, Risk) opens each session with a structured debate. Its consensus feeds an Opus morning strategist that sets the day’s thesis. A 45-second Sonnet execution loop then operates the book. The defining choice is the LLM inversion: the models can only request trades — a deterministic layer of strategies A–F decides what actually executes.

Role

Sole architect and engineer — agent design, the deterministic strategy layer, broker integration, persistence, and the operational guardrails.

Safety

A circuit breaker halts new entries on daily-loss breach, ATR-based stops bound every position, and a reconciliation guard validates positions against the broker every 15 minutes to purge phantoms. The AI cannot override any of it.

Outcome

Running unattended in a paper-trading environment, advancing toward its go-live criteria. (Private system — architecture and status only; no positions, P&L, or credentials are surfaced here.)

What it took

Technical proof.

  • 5-agent adversarial swarm (Bull / Bear / Technical / Sentiment / Risk) debates before every session.
  • LLM inversion: language models only propose — deterministic strategies A–F dispose.
  • Hard safety floor the AI can never override: circuit breaker, ATR stops, position reconciliation guard.
  • Opus morning strategy → 45-second Sonnet execution loop, fully unattended.
Private system — no live link. Architecture and status only; never data, positions, or credentials.Back to all work