THE JEV GUIDE · CURATED EDITION
Launch news, explanations, demos, and community projects around TypeSafe Jev, organized by topic. Every entry links back to its X source.
Curated selection · Not exhaustive · Updated manually
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The author wonders why no one is building 24/7 trading agents with Grok and Jev, claiming this combination creates powerful AI trading bots, and mentions writing a research paper on finding profitable strategies from scratch.
User shares an automated crypto trading bot that scrapes crypto Twitter at night, uses Jev for buy/sell decisions, and Grok to execute orders, claiming growth from $100 to about $24,000.
The post describes a trader's info filtering pipeline: price ticks are tracked by an always-on watcher, every headline is checked against its source by Jev, fake posts like 'SEC halts ETF' are blocked here, X posts go to Sonnet 5.5, and the human only reads one merged result.
This trading bot combines Jev with Grok agents and a crawler, focusing on BTC perps. After the price dropped, it went long four times in a row, turning $3,184 into $9,742. Showcasing Jev in real-world trading.
Paul Jasper demonstrates how to use Jev to extract company names from earnings call transcripts and determine whether someone is recommending buying stock or discussing products like an Apple Watch.
One card in the feed, every sixteen, on every page of it. $50 a week, cancel any week.
A user runs a crypto trading desk with Jev and SiDian, managing six strategies across spot and perpetuals, executing 24/7 on OKX, with every trade requiring approval.
A single prompt builds a Jane Street-style low-latency HFT system where the Jev model judges order-flow toxicity without sitting in the order path, and hftbacktest replays tick data.
The post showcases a crypto trading system where Jev makes decisions and four trading agents execute six strategies across spot and perps, reporting inflow and outflow figures.
This post showcases a BTC trading bot that uses three models—OPUS 5.5, JEV, and OpenAI Dots—for triple confirmation, scanning 214 pairs and keeping 12 matches, with JEV involved in final order decisions.
A developer built a coin analyzer using Claude and Jev to identify cryptocurrencies with better probabilities, and will share the results.
Mimir's monthly update: the $MIMIR CLI is live, bringing markets, house council, and agents to your shell. It also teases a Mimir × Jev partnership to deliver typed, calibrated decisions for the oracle, council, and claim quality.
The post complains about a “spider” agent rejecting most tasks, using a payment webhook duplicate trigger as an example of Jev quickly and cheaply checking the relevant keys.
