A browser demo uses Jev for UP/DOWN/UNCLEAR trading calls
Across 60 synthetic market states, Jev makes repeated UP/DOWN/UNCLEAR decisions while code checks freshness, fees and slippage, with cases rejected by the cost gate or stale data shown.
YOUR NEXT TRADING OPPORTUNITY MIGHT BE ON A CHART YOU NEVER OPENED. One screen. A few watchlist tabs. Meanwhile, dozens of other markets keep moving. That's the part of AI trading I'd build first: a desk that brings the interesting cases to me. Claude helps build the workflow. Market data becomes a compact state. Jev handles the repeated UP / DOWN / UNCLEAR decision. Code checks freshness, fees, slippage and hard limits before anything reaches a paper queue. Scan → decide → check → paper test. The clip is a browser demo I built with 60 synthetic market states. Watch the cost gate: an 18 bps gross spread becomes 4 bps after assumed costs, below the demo's 8 bps floor. Rejected. Another candidate has stale data. Rejected. The clean case reaches the paper queue; a low-confidence case goes to review. No live Jev calls or profit claims here. The useful test is whether the whole loop makes better decisions on unseen data after realistic costs. A fast answer can still be wrong. The Jev setup guide below explains the decision layer. Build the desk, replay the mistakes, then decide whether it deserves real capital.
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