jevPOST
用 Jev 给新闻与预测市场做秒级概率下单
讨论把该架构用于新闻交易和预测市场:agent 读推文、用 Jev 出概率、毫秒级下单,并问哪个赛道优势最大。
Maison Cypher
@MaisonCypher2026.10.01收录原推发布于 2026.09.30
Maison Cypher @MaisonCypher原推发布于 2026.09.30
Applying this architecture to headline news trading and prediction markets gives a colossal advantage over humans. While a retail trader is reading a tweet, an AI agent has already processed the context, gotten a probability via Jev, and sent an order to the exchange in fractions of a second. In which segment would such a bot show the greatest edge - news squeezes, prediction market arbitrage, or altcoin volatility?
这条是引用着另一条写的:「Opus 5.5 设计策略 + Jev 做交易决策层」
x.com/maisoncypher/status/2105204429553103006采集于 2026.10.01 10:03