Built with Trading

Jev-Trades

Trading bot with the all new TypeSafe AI's first system one model named as Jev

57 ★ on GitHub

What it is

A Next.js dashboard for live crypto market data and TypeSafe-powered paper trading.

The homepage listed on the repository, jev-trades.vercel.app, puts it like this: Let Jev Trades for you

What the README says it does

  • Live Market Data & Dynamic Timeframes: Streams live market data via Yahoo Finance websockets. The chart and technical indicators dynamically update based on the selected timeframe (1m, 5m, 15m, 1h, 4h).
  • Autonomous Agent (Jev): Powered by TypeSafe, the Jev autonomous decision engine analyzes the market on every incoming tick across all active timeframes simultaneously, providing structured judgments for trading.
  • Paper Trading Portfolio: Simulated trading environment with a persistent SQLite database. Capital can be dynamically adjusted through the UI, accurately updating the account ledger and portfolio equity on the fly.
  • Automated Risk Management: Automatic calculation and execution of Take Profit and Stop Loss triggers, determined by Jev's analysis, volatility (ATR), and user risk appetite.
  • Manual Trade Execution: A complete manual trading desk allowing users to execute buys and sells, set custom TP/SL targets, or exit active positions directly from the dashboard.

From the project’s README.

Where the decision sits

Jev-Trades calls the hosted decision API rather than running its own weights. That keeps the project small and means its behaviour moves whenever the vendor ships a new model version. It also means an API key and a network round trip sit in the path of every decision.

Models it references: Jev.

How active it is

Created 2026-09-17, last pushed 2026-09-25, 57 stars and 21 forks when we read it on 2026-11-02. Everything in this category is weeks old at most, so a stale push date means something different here than it would on a mature project. Check the repository before you depend on it.

Find out what your data actually supports

We turn your historical decisions into a frozen test set, then tell you which model, which threshold, and how much of it you can safely automate.