トレーディングと金融

ファンダメンタル、感情、ニュース、テクニカルの各分析に、研究者の議論とトレーダー、リスク管理の役割を組み合わせます。 TYPESAFE_API_KEY を設定すると、Jev が StockTwits と Reddit の無関係な投稿を除き、立場を分類します。キーがなければ選別しません。

自前で運用するシステムで、Python 戦略、バックテスト、模擬取引、実取引、監視を扱います。 Jev は注文、戦略、エクスポージャー、保有ポジション、予算を評価し、型付きの選択結果と確率を返します。

Monad の各ブロックで post-only 指値注文を更新し、板・注文・約定イベントを画面へ配信します。 MODEL=jev と TYPESAFE_AI_API_KEY を設定すると Jev が売買を選び、既定の mock はモメンタム則を使います。

AI Stock は市場データ、ニュース、AI 分析をまとめ、株式調査、スクリーニング、模擬取引に使います。 任意の JEV Decisions only が売買・保有、確率、確信度を返します。調査チャットと銘柄範囲選択には LLM が必要です。 モデルとデータ源を設定して銘柄を選び、保存レポートの根拠、日付、リスクを確認します。

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.

プロジェクトの説明はありません。