Do I need to write code or host servers to use it?

No. Connect exchanges or wallets, drag trigger, Jev analyst, and action blocks on the canvas, and set the required confidence. The digest describes the whole flow without code, scripts, or servers.

What happens when confidence misses my threshold?

The trade is canceled when Jev confidence falls below your slider setting, and the AI log records skipped entries with the confidences so you can see what the gate rejected.

Does backtesting prove the strategy will profit?

No. The digest warns past performance, backtest metrics, and confidence scores do not guarantee future returns and provides the app for educational purposes only, not as financial advice.

Where are my exchange API keys stored?

Locally on your machine behind a master password, encrypted and never sent to vendor servers. You still own API permissions, risk settings, and every trade parameter.

How do I install the Jev-trading desktop app?

It installs like a standard desktop app: download Jev-trading-x64.7z from Releases on Windows and run it, or the macOS Jev-trading-macOS.dmg and drag it to Applications. On first launch it asks for a Dark or Light theme and a master password to encrypt your data.

Which exchanges and wallets can it connect to?

The Connection Hub binds CEX accounts via API keys for Binance, Bybit, OKX and Coinbase, and connects Web3 wallets MetaMask and Phantom for DEX trading on Uniswap and Raydium. A Balance Manager aggregates assets across platforms in one dashboard.

What risk controls does it offer?

A Safety Net sets global limits: a daily drawdown that forcibly stops trading and closes positions for the day, and volume isolation capping the maximum size of a single trade. A per-strategy AI Confidence slider cancels a trade when Jev's confidence is below your set level.

CommunityJev Guides & Articles

Jev-trading

No-code desktop terminal that puts Jev Buy, Sell, and Hold calls behind a confidence slider, with exchange connections, strategy canvas, and backtesting lab.

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Stars: 2
Language: Python
License: MIT
Published by: Community
Author: Jev-trading
Last verified: Oct 2026

Jev-trading/Jev-trading

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Jev-trading is a desktop application that combines the ultra-fast neural network model Jev (by TypeSafe AI) with an intuitive visual interface. We've created a platform where the power of algorithmic trading is accessible without writing a single line of code, messing with Python scripts, or configuring servers in the terminal.

Forks: 1
Last pushed: Updated Sep 2026

Repo stats from the GitHub API, cached Oct 2026.

About this project

Jev-trading is a desktop application that combines the ultra-fast neural network model Jev (by TypeSafe AI) with an intuitive visual interface. We've created a platform where the power of algorithmic trading is accessible without writing a single line of code, messing with Python scripts, or configuring servers in the terminal. Traditional trading bots require programming knowledge, and integrating regular LLMs (like ChatGPT) into trading is too slow and unpredictable. Jev-trading solves both problems:

Quoted from the project's README. Read the full README.

Tagscommunity github

Works forJev for Classification

Used inJev for Software & DevTools

Languages: Python

Highlights

Installs as a standard desktop app with connection hubs for exchanges and Web3 wallets.
Builds strategies from trigger, Jev analyst, and action blocks with a required-confidence setting.
Scans news and social feeds for sentiment signals evaluated in under a second per the digest.
Pairs backtesting replay and reports with drawdown limits, volume isolation, and live dashboards.

Watch out

Desktop trading software with real-money risk; past signals, backtests, and confidence scores guarantee nothing. Copy reviewed against the repository README on 2026-10-04, not from running it.

Questions about this entry

Short answers drawn from the linked project or page.

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