用 Jev 路由 200+ 交易模型做量化选型
作者称用 Jev 从 200 多个 HFT 模型里按行情筛选最优解，走回测与纸面交易门槛，12 分钟搭完。
Jev just replaced a $750K/year quant at Jane Street It scanned +200 HFT models and picked the best fit for my exact market setup - in miliseconds setup takes literally 12 minutes: prompt + market state → Jev filters models → selects the best fit → backtest → paper trade → deploy or NO TRADE step 1 → open and create your Jev API key step 2 → clone the GitHub repo containing 200+ trading models (below) step 3 → install the router and store TYPESAFE_API_KEY securely step 4 → connect your preferred chat, agent or API to the Jev routing endpoint step 5 → describe any trading task, market regime, horizon, instruments, latency and risk limits step 6 → Jev filters incompatible models, ranks the remaining candidates and returns the best fit - or NO TRADE step 7 → run the selected model through its included tests, backtest and paper-trading gate before enabling execution the result: you don’t get another trading idea - you get a runnable model with its signal code, configuration, data requirements, tests and risk controls already attached this system actually replaces what quants at hedge funds do manually Copy this 2028 quant setup, explore 200+ ready-to-run models in my repo - then see exactly how Jev chooses what to trade below ↓
这条是引用着另一条写的：「长文：如何搭好 Jev 驱动的 agent 技术栈」