{"slug": "jev-typesafe-system-one-finance-trading-projects-surveyed-2026-09-20", "title": "Jev (TypeSafe System One) finance & trading projects — surveyed 2026-09-20", "summary": "A survey of GitHub and community awesome-lists conducted on 2026-09-20 catalogued finance and trading projects built on Jev, TypeSafe AI's System One decision model released five days earlier. The reference implementation, jarrodwatts/jev-trader, makes one AI trade decision per Monad block (~300 ms) by reading the Kuru MON-USDC order book and posting post-only limit orders, and has been ported to Hyperliquid with five isolated sleeves and live fills. An IRS tax-document page classifier built on Jev reported 100% strict accuracy across 261 forms at roughly $0.001 per page, 34× cheaper and 6× faster than the team's prior LLM pipeline, while the survey noted a consistent pattern that \"Jev judges, code executes.", "body_md": "Jev (TypeSafe System One) — Finance & Trading Projects\n\nProjects using Jev, TypeSafe AI's System One decision model (released 2026-09-15), in investment, trading, and financial-data contexts. Surveyed 2026-09-20 via GitHub API and community awesome-lists.\n\nReference project\n\njarrodwatts/jev-trader (★1.3k, 2026-09-16) — One AI trade decision every Monad block (~300 ms). Jev reads the Kuru MON-USDC order book and answers buy or sell; the bot posts a post-only limit order one tick inside the touch, earning the spread. Bun/TypeScript, dry-run mode, SSE dashboard. The template most projects below derive from.\n\njev-trader ported to Hyperliquid. Five isolated sleeves (BTC/ETH/SOL/DOGE/BNB), five wallets, real fills. Jev answers long/short then open/close/hold via Choice. Live desk\n\nOpen-source AI Trading OS (crypto, stocks, forex). Added Jev post-release as a \"pre-trade decision gate\" in front of the LLM gate. Largest Jev integration by stars\n\nHong Kong stock direction forecasting. AKShare fetches target + HSI + HSTECH; Jev answers up/flat/down as Choice; standalone HTML reports. Careful treatment of probability calibration\n\nIRS tax-document page classifier: 261 forms, 100% strict accuracy on their corpus, ~$0.001/page (34× cheaper, 6× faster than their prior LLM pipeline)\n\nEmpty / placeholder repos\n\nmaxlibin/moomoo-jev-trader (Moomoo dashboard, intended), Pastorkid/jevTradingBoth, hifizz/jev-finance-benchmark — created but no content yet.\n\nObserved patterns\n\n\"Jev judges, code executes\" is universal. Every project gives Jev only typed judgments (Choice/Noul/Score) over compact state; thresholds, risk vetoes, and order placement stay in deterministic code. The buberlo redesign makes this separation most explicit.", "url": "https://wpnews.pro/news/jev-typesafe-system-one-finance-trading-projects-surveyed-2026-09-20", "canonical_source": "https://gist.github.com/drillan/6916b16e8ea31a8ec36c8f59d6483150", "published_at": "2026-09-20 02:27:46+00:00", "updated_at": "2026-09-20 04:53:59.193733+00:00", "lang": "en", "topics": ["ai-agents", "ai-products", "ai-tools", "large-language-models", "developer-tools"], "entities": ["Jev", "TypeSafe AI", "System One", "jarrodwatts/jev-trader", "Monad", "Kuru", "Hyperliquid", "GitHub"], "alternates": {"html": "https://wpnews.pro/news/jev-typesafe-system-one-finance-trading-projects-surveyed-2026-09-20", "markdown": "https://wpnews.pro/news/jev-typesafe-system-one-finance-trading-projects-surveyed-2026-09-20.md", "text": "https://wpnews.pro/news/jev-typesafe-system-one-finance-trading-projects-surveyed-2026-09-20.txt", "jsonld": "https://wpnews.pro/news/jev-typesafe-system-one-finance-trading-projects-surveyed-2026-09-20.jsonld"}}