Combina análisis fundamental, técnico, de noticias y de sentimiento con debates entre investigadores, un operador y funciones de gestión del riesgo. Con TYPESAFE_API_KEY, Jev descarta publicaciones ajenas a la empresa en StockTwits y Reddit y clasifica su postura; sin clave pasan sin filtrar.
Trading y finanzas
Decide entradas, riesgo y asignación
87 proyectos · Todos los proyectos →
La plataforma autohospedada cubre estrategias Python, backtesting, simulación, ejecución real y seguimiento. Jev evalúa orden, estrategia, exposición, posiciones y presupuesto, devolviendo elecciones tipadas y probabilidades para filtrar entradas.
El bot renueva órdenes limitadas post-only por bloque Monad y transmite eventos del libro, órdenes y ejecuciones al panel. Con MODEL=jev y TYPESAFE_AI_API_KEY, Jev elige comprar o vender; el modelo mock predeterminado aplica una heurística de impulso.
AI Stock reúne datos de mercado, noticias y análisis IA para investigar, filtrar acciones y simular operaciones. JEV Decisions only opcional devuelve comprar/vender/mantener, probabilidades y confianza; chat y selección del universo aún requieren un LLM. Configura modelos y fuentes, elige una acción y revisa evidencia, fechas y riesgos del informe guardado.
Live Jev trader on Hyperliquid
AI-driven intraday trading bot for Indian stocks. Jev ranks the Nifty 50 every 15s; code sizes each trade and places the stop; orders go live through Zerodha Kite or Kotak Neo. Day replay, kill switch, daily loss halt, terminal dashboard.
5m BTC Up/Down Polymarket trading agent using Typesafe Jev as the decision layer & TUI
Trading bot with the all new TypeSafe AI's first system one model named as Jev
24/7 market-making system around Jev (TypeSafe System One) decisions: deterministic state, calibrated judgments, hard risk vetoes.
Read-only trading journal and review harness: Jev typed judgments, agent integration, and a reproducible finance benchmark. No orders, no advice.
Unofficial study: Jev-style parallel typed decisions on stock 1.5B-8B models on an Apple Silicon laptop. Benchmarks, research notes, and a Hugging Face Space demo.
An experimental JEV-powered framework for forecasting short-term stock price direction from structured market data.
Polymarket trading bot driven by Jev (TypeSafe AI) via OpenRouter
Modular trading framework for Mid-Frequency Trading
Backtest Jev (TypeSafe) as a BUY/SELL/HOLD trader on NQ L10 order-book data
JEV-powered market decision bot for stocks, crypto and memes. State in, BUY/SELL/HOLD/AVOID out, paper by default
Live Moomoo trading dashboard with TypeSafe Jev market reviews
Desktop app for paper-trading stocks and crypto on live prices, with TypeSafe's Jev making the calls and your stops, targets and limits enforced in code. Windows and macOS; never touches real money.
Experimental multi-horizon BTC signal generator using TypeSafe Jev probabilities and Binance market data.
Hands-on LangChain examples of Jev, TypeSafe AI's decision model: support ticket triage, model routing, reply guardrails, tool selection and finance-inbox fraud checks. An LLM writes; Jev decides.
Self-hosted AI trading intelligence platform - scoring engine, two-model AI analyst (Claude + TypeSafe Jev), risk engine, discipline guardian, backtester, React dashboard
Options trading bot (backtest + Alpaca paper only) with TypeSafe Jev as the decision core
Typed System-1 decisions (Laya/Jev) as the judgment layer of a quant research stack, with Claude as System 2. Requirements → design → code → experiments.
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