Live System — Solana
Markets
don't sleep.
A three-layer AI trading system running continuously on live Solana markets. Multiple models collaborate on every decision. No single point of failure.
Scroll to explore the architecture, or jump straight to the live dashboard ↓
Market Structure Analysis
The first model watches the market continuously — not for trade signals, but for the shape of the market itself. What regime are we in? Is this a trending environment or mean-reverting? Where is liquidity pooling?
How it works
Three models. One decision.
The system never stops. While you sleep, Layer A is reading order books, classifying regimes, building its picture of the market. There is no on/off.
Layer B has no prior commitment to any trade. It evaluates the market context from first principles. If it disagrees, the trade does not happen.
Any layer can veto. A trade requires consensus from two independent models and a third that manages the risk. The architecture is the risk management.
Live markets are the only test that matters. Backtests lie. Paper trading lies. This system trades real capital — because that is the only honest test.
Live dashboard.
The charts below reflect the system's actual trading activity — price action, momentum indicators, and a full execution log. Data refreshes every 60 seconds from the live API. When the API is unreachable the charts display cached historical data.
Markets are complex adaptive systems. The solution isn't a smarter model — it's smarter architecture.
Design principle — Tim Schuster
A single model, no matter how capable, will find edges and then lose them as the market adapts. A system where multiple models must reach consensus on a decision is harder to fool — because fooling it requires fooling all three independently. This is not an AI bet. It is a structural bet.
Built on
Every component chosen for production reliability, not résumé appeal.
Sub-second finality, deep liquidity, programmable execution. The only blockchain where latency doesn't kill the edge.
Claude provides the reasoning layer. Python handles the orchestration, data pipelines, and market connectivity.
Every trade, every signal, every regime classification — persisted in real time. The full audit trail lives in Supabase.
Zero-downtime deploys. The system runs continuously — Railway keeps it running even when I push updates.
Live order book data, tick-by-tick price feeds, volume profiles. The system sees what the market sees, when the market sees it.
Infrastructure running
while you read this.
This is not a concept project or a demo. The three-layer system is live on Solana right now — reading order books, validating signals, managing positions. The best evidence of the engineering is that it runs without me watching it.
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