Vibe Trader
Whitepaper

Autonomous AI trading, constrained by design.

A technical look at how VibeTrader agents analyse market data and news sentiment, make their own buy, sell and hold decisions, and execute real orders through Alpaca — inside a code-level risk framework the models cannot override. Covers the architecture, the per-minute decision cycle, the intelligence pipeline, the risk gate and the learning loop.

  • Per-minute decision cycle
  • News and sentiment pipeline
  • Deterministic risk gate
  • Performance vs. the S&P 500
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Inside the product

Gains you can trace, decision by decision.

Portfolio, agent and decision views from the live dashboard.

Portfolio performance — Account value, realized and unrealized gains tracked against the S&P 500.

Portfolio performance

Account value, realized and unrealized gains tracked against the S&P 500.

Agent performance — Per-agent P&L, target weights and equity curve across every time frame.

Agent performance

Per-agent P&L, target weights and equity curve across every time frame.

Decision log — Every buy and sell with the model's rationale and the resulting P&L.

Decision log

Every buy and sell with the model's rationale and the resulting P&L.

Market news — Live news feed with AI assessment of actions to watch and take per item.

Market news

Live news feed with AI assessment of actions to watch and take per item.