A trading agent blueprint where Jev makes the buy, sell or hold call
The author lays out a trading agent decision chain: market data feeds separate agent inputs, Jev chooses buy, sell or hold, and a risk gate then decides whether an order goes through.
50 AI agents can make a trading dashboard look alive. That doesn’t mean the system knows when to trade. The part I’d actually want to build is the decision path: market data → separate agent inputs → structured BTC state → Jev chooses buy / sell / hold → risk gate checks spread, freshness and size → paper trade or no trade Most agent demos show you the movement. They don’t show you what can stop a bad decision. The article below has the Python blueprint, the Jev call, and the test I’d run before putting real money behind it ↓
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