89 curated builds·evidence labeled
COMMUNITY OBSERVED

jev-trader

I built a trading bot with Jev!

Overview & Result

Jarrod Watts built an automated crypto trading bot that integrates Jev for sub-second signal classification and trade risk gating. By replacing sluggish multi-second LLM reasoning with Jev's 40ms Choice API, the bot evaluates live market regime transitions and technical indicator signals before deciding whether to execute buy, sell, or hold actions.

How Jev fits in the loop

  1. Stream real-time price feeds, orderbook depth, and technical indicators (RSI, MACD) into memory.
  2. Format market condition snapshots into structured categorical decision queries.
  3. Jev Choice evaluates signal strength and trade risk probability in <40ms.
  4. Trigger automated smart contract execution or exchange API order placement when confidence exceeds thresholds.

How to reproduce

  1. Inspect author post and reproduction notes.
  2. Deploy agent loop and bind Jev decision endpoints.
  3. Run test inputs and observe latency and accuracy.

Why this build matters

Shows how autonomous trading agents can eliminate execution latency while retaining semantic contextual reasoning over market signals.

Reported performance

Reported by author

Latency: 300 ms blocks

Author-reported operational metrics from community launch.

Limitations

  • Community observed build; metrics are author-reported.
  • Requires third-party dependencies as described in source.

Patterns