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jev-trader bot uses Jev to decide trades every 300ms

The open-source jev-trader feeds order book, CVD and VWAP data to Jev, which returns buy and sell probabilities with a 65% confidence gate, while risk control and order placement stay in deterministic code.

bodila
@51bodilaArchived 2026.09.19Originally posted 2026.09.19
bodila @51bodilaOriginally posted 2026.09.19
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Jev is the most powerful trading agent! I plugged this open-source repo and turned Jev into a 24/7 trading bot that reads the live order book, decides to buy or sell, and places an order every 300 milliseconds and it can be adapted to ANY market or trading pair... here is how you can set it up: 1. clone the jev-trader repo (github on top), one bun install gives you the live market feed, Jev adapter, execution engine, position tracking and real-time dashboard 2. launch it with DRY_RUN=true, the bot reads the real order book and makes live decisions while every order and fill stays simulated 3. change MODEL=mock to MODEL=jev and add your TypeSafe API key, Jev now returns buy and sell probabilities instead of generating text 4. pipe the complete market state into Jev. top bids and asks, liquidity depth, spread, order-book imbalance, short-term returns, recent trades, CVD and VWAP, all evaluated in one call 5. add a confidence gate before capital moves. buy above 65%, sell above 65%, otherwise hold, weak signals never become forced trades 6. keep the risk engine deterministic. code controls position size, maximum exposure, available balance, order price and emergency stops, Jev only chooses the direction 7. connect the execution layer and track every decision through the dashboard. probability, latency, order status, fills, fees, position and real-time P&L EXACT roadmap to set up Jev and apply it to a trading agent is below ↓

This post quotes another post: “Long read: how to build a Jev-powered agent stack”

x.com/51bodila/status/2101096030641238236Archived 2026.09.19 10:18