CONTROLBusiness workflows
Arbistocks JEV Integration
ArbiStocks@Arbistocks
Arbistocks is integrating JEV, a bounded model from TypeSafeAI, to provide quick, confident verdicts for arbitrage decisions, bypassing text generation for efficiency.
arbistocks is putting jev, the bounded model from @TypeSafeAI, in front of the engine.
here is why that pairing makes sense. every decision inside an arbitrage cycle is a closed question. is this gap real or is it a thin pool lying to me. which of the six routes on this stock is worth quoting. is this size past the peak. fire or skip. none of those want an essay back. they want a verdict and a confidence, in less time than it takes for someone else to cross the gap.
that is what jev was built to do. it skips text generation and answers bounded questions, which is the difference between a tool that fits this job and a tool that could merely be pointed at it.
the board is 49 stocks across 136 pools, refreshing every few seconds. a model that writes prose cannot read that at the rate it changes, and you would not want to pay for it to try. a model that returns a score can sit in the scan loop and stay there all night.
what changes for you: fewer rows to look at, and the ones left have a reason to be there.
arbistocks.com/app
