Tutorial: building a 24/7 block-speed crypto trading system with Jev
A six-step tutorial: an async Python worker reads the Monad order book, code computes indicators, Jev answers six structured questions in one call, and hard rules execute orders.
this is f$$king insane the trader goes to sleep. the trading desk keeps working. here's how to build a 24/7 Jev setup for block-speed crypto trading. the goal is simple - read the order book as new blocks land filter dangerous conditions before taking risk let hard rules control every order Jev's published response time is 70–500 milliseconds. narrow questions in, structured answers out. no paragraph standing between the market and your execution code. here is how to build the setup: 1. open claude code and scaffold an async Python worker. run "pip install typesafe-sdk", configure your API key, pin "jev-1.13.0" and start in paper mode. 2. connect one market: MON/USDC on Kuru. stream new Monad blocks, read the book and recent trades, timestamp every snapshot. keep one model request in flight and process the newest state. 3. calculate spread, depth imbalance, aggressive buying versus selling, short-term volatility and inventory in code. give Jev those numbers with recent history. don’t pay AI to do arithmetic. 4. ask six independent questions in one call: market regime, direction over the next 10 blocks, flow toxicity, liquidity stress, setup quality and pressure to reduce exposure. define the answer options and scoring criteria explicitly. 5. code applies the trading rule: quote toward the directional bias only when quality clears your tested threshold and the flow gates pass. use post-only limits, reject stale answers and enforce position, order-size and daily-loss caps. risk controls keep running when Jev doesn’t. 6. replay recorded order books on an untouched period. include fees, gas, execution delays and conservative fill assumptions. then paper trade continuously, logging rejected setups, fills, drawdown and whether the model’s probabilities match outcomes. $0.042 per million input tokens. output is free. the expensive part is finding out your beautiful backtest assumed fills you would never get. let Jev judge the conditions. let code price the order. let the kill switch have the final word.
This post quotes another post: “Building an open-source millisecond HFT framework with Jev”