Closed trades——
Profit factor——
Max drawdown——
Analysis cycles——
Desk equity—
Market contextrefreshed every cycle
Evolution lab —
the desk breeds model variants, shadow-tests them, and promotes the ones that out-predict their parents
Newsroom —
headlines the desk is reading, with the score it gave each one
Live analysis
Every symbol scored by ten independent models. A card lights up when the ensemble clears the entry threshold.
Open positions
Self-tuning
—
Live parameters — tuned by the desk
Changes it made to itself
What the desk has learned
Activity
Trade journal
The desk trades paper capital through the same engine as every other account, so its fills, margin, stops and liquidations are real behaviour. Weights are re-learned after every closed trade from the realised R-multiple. Past performance of any strategy — learned or otherwise — does not predict future results, and a losing run is a normal part of every edge.