A systematic trading platform with a four-layer architecture: perception, cognition, execution, and discipline.
Most algorithmic trading systems are scripts dressed up. Backtest a strategy, glue it to a broker API, hope it doesn't break. Eliza is built on the opposite premise: durable edge in markets requires durable software discipline. Every decision the system makes is governed by an architecture that separates view formation from risk approval, that promotes strategies through evidence gates rather than founder enthusiasm, that fails safe rather than fails silent.
Most trading systems ingest numbers: price, volume, Greeks. Eliza also sees. Vision models read charts across multiple timeframes autonomously, extracting trend structure, key levels, indicator states, and regime context that purely numerical pipelines miss. This multi-modal perception feeds directly into the cognitive layer. The Analyst doesn't just process data; it interprets a visual field the way a human trader would scan a chart.
Most AI trading systems use one model family for both view formation and risk approval. Eliza is built on the opposite design: an adversarial cross-family ensemble where view and risk are deliberately separated.
Eliza uses a Mixture-of-Experts agent design: different language model families handle different judgment tasks. An Analyst forms the live market view from real-time event flow. An adversarial Risk Challenger, running on a different model family deliberately, reviews each setup before approval; the cross-family disagreement surfaces blind spots that same-family review can't catch. A Lead orchestrates and owns the operator interface.
Underneath the AI sits a deterministic infrastructure stack: autonomous services for data collection, signal detection, position monitoring, broker integration, and emergency safety. The AI cannot bypass the safety stack; the safety stack works without the AI. Both layers run 24/7 on regulated infrastructure with full audit trails.
The AI layer gets the attention. The infrastructure underneath is what makes it real.
Every service runs autonomously with no human in the loop. The AI has opinions; the infrastructure has hands. Neither can operate without the other, and the safety layer can override both.
Every strategy progresses through a committed lifecycle (shadow observation, paper validation, supervised live, semi-autonomous) with numeric promotion gates at each step. Per-strategy kill switches enforce drawdown and consecutive-loss limits. Every architectural decision is documented; every research finding is captured in a structured knowledge base.
Not a robo-advisor. Not a copy-trade service. Not a strategy marketplace. Eliza is the systematic platform itself; we run it on our own capital first, and productize selectively for institutional partners.
Eliza is in private R&D. We publish the architecture publicly. We don't publish strategies, parameters, broker integrations, or P&L numbers. Productization conversations with select institutional partners happen under NDA.
Talking with select partners. hello@socialplayai.com.