Trading bots, research desks and portfolio tools that use Jev for entry, risk or allocation decisions.
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TradingAgents combines fundamental, sentiment, news and technical analysts with debating researchers, a trader and risk management roles. With TYPESAFE_API_KEY, Jev removes unrelated StockTwits and Reddit posts and classifies stance; without the key, posts pass through unscreened.
This self-hosted trading stack covers Python strategies, backtests, paper trading, live execution and monitoring. Jev evaluates order, strategy, exposure, position and budget context, returning typed choices with probabilities for the entry filter.
The bot replaces post-only limit quotes on Monad blocks and streams book, order and fill events to a dashboard. With MODEL=jev and TYPESAFE_AI_API_KEY, Jev chooses buy or sell; the default mock model is a momentum heuristic.
AI Stock combines market data, news and AI analysis for stock research, screening and simulated trading. Optional JEV Decisions only returns buy/sell/hold, probabilities and confidence; research chat and stock selection still need an LLM. Configure models and data sources, select a stock and review the saved report’s evidence, dates and risks.
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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