Routing 200+ trading models with Jev for quant selection
The author says Jev filters 200+ HFT models to pick the best fit for a given market setup, gated by backtests and paper trading, with setup done in 12 minutes.
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 ↓
This post quotes another post: “Long read: how to build a Jev-powered agent stack”