Every read starts from real market data. The model calls deterministic tools that compute indicators and pull live prices, volume, and volatility — so each number is reproducible, not asserted. When the data can't support a claim, the analysis says so.
Specialised agents take on price action, order flow, and macro context — each grounded in tool output. Their reasoning is debated and reconciled into a single, coherent read instead of a wall of contradictory takes.
Sessions are written up and published — readable prose backed by the underlying numbers. The archive on this site shows the format: multi-asset coverage of ES/NQ futures and correlated ETFs, dated and on the record.
Before any idea, the copilot frames the risk: position sizing, invalidation levels, and what would make the thesis wrong. The job is to keep you in the game across many trades, not to win an argument on one.
Calls are logged and scored against what actually happened, over time and in the open. You judge the system on its track record — hits and misses alike — instead of how confident it sounds.
One copilot across the markets that move together — crypto, equity index, commodities, and prediction markets. Correlations are first-class, so a read on NQ informs the read on QQQ.
Read the analysis archive to see the format in action, then follow along as we open up access.
An agentic copilot for futures — crypto to index. Multi-agent analysis of price, flow, and macro, with risk-aware coaching and a journal that learns with you.
Educational analysis & coaching — not financial advice. Futures trading involves substantial risk of loss.
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