Trading dan keuangan

Analisis fundamental, teknis, berita, dan sentimen digabungkan dengan diskusi peneliti, peran pedagang, serta pengelolaan risiko. Dengan TYPESAFE_API_KEY, Jev membuang unggahan StockTwits dan Reddit yang tidak terkait perusahaan dan mengelompokkan sikapnya; tanpa kunci, unggahan tidak disaring.

Platform yang dihosting sendiri mencakup strategi Python, backtest, simulasi perdagangan, eksekusi nyata, dan pemantauan. Jev menilai order, strategi, eksposur, posisi, serta anggaran dan mengembalikan pilihan bertipe beserta probabilitas untuk filter masuk.

Bot mengganti order limit post-only pada blok Monad dan mengalirkan peristiwa buku order, order, serta eksekusi ke dasbor. Dengan MODEL=jev dan TYPESAFE_AI_API_KEY, Jev memilih beli atau jual; model mock bawaan memakai heuristik momentum.

AI Stock menggabungkan data pasar, berita, dan analisis AI untuk riset saham, penyaringan, serta perdagangan simulasi. JEV Decisions only opsional menghasilkan beli/jual/tahan, probabilitas, dan keyakinan; chat serta cakupan saham tetap membutuhkan LLM. Atur model dan sumber data, pilih saham, lalu periksa bukti, tanggal, serta risiko laporan tersimpan.

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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