JevMade field notes / Video guide

Jev Trader GitHub Tutorial: Build a Subsecond AI Trading Bot

Alex Hitt demonstrates deploying the open-source Jev Trader bot on Monad testnet. The walkthrough covers provider credentials, separate RPC paths for reads and writes, network timing, decision telemetry, and dry-run quote placement before live orders.

Original by Alex HittAgent workflowsIntermediate6 min 32 sec Published 2026-09-18Source reviewed 2026-09-26

Before you press play

What you’ll find in the video

Jev's parallel sampling architecture is designed to bypass sequential token decoding to return probability scores within subsecond block windows.
Bifurcating read and write RPC endpoints isolates market order-book polling from fire-and-forget transaction broadcasting to prevent socket contention.
Running the bot without a private key enables dry-run simulation with real-time SSE telemetry, letting operators monitor simulated P&L and tune quote positioning.

Worth knowing

Gemini-assisted video/transcript review. Claimed subsecond inference latency (70-500 ms) and trading returns are developer-reported demonstrations on testnet rather than independent controlled benchmarks, and typed outputs do not guarantee profitable trading decisions.

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