JEV Terminal is a crypto research workspace powered by TypeSafe JEV. Explore live Kraken markets, compare assets with AI, inspect forecasts, and track their outcomes over time. Test BUY/HOLD/SELL strategies in an autonomous paper account with clear costs and limits. Connect MetaMask or Rabby to review ETH/USDC swaps on Base and approve every real transaction yourself. Built for traders who want to understand the evidence, test new ideas, and make informed decisions while staying in full control.
I built Predict-With-Jev to explore a simple idea: what if trading decisions didn’t require a heavyweight LLM call every time?
Jev-Trader uses TypeSafeAI Jev as a fast decision layer for market analysis and trading actions like BUY / HOLD / SELL.
The goal is to experiment with a trading architecture where Jev can quickly evaluate structured market signals, make deterministic decisions, and act as the decision engine behind a larger autonomous trading system.
I’m especially interested in:
making trading decisions faster and cheaper
reducing unnecessary LLM calls
combining structured market data with Jev’s decision logic
experimenting with autonomous trading workflows
eventually connecting the decision layer to real execution infrastructure with strong safety controls
This is still an experiment, and I’m actively iterating on the architecture.
I’d love feedback from traders, agent builders, and anyone experimenting with Jev / TypeSafeAI.
UTCP
Hey Product Hunt 👋
I built Predict-With-Jev to explore a simple idea: what if trading decisions didn’t require a heavyweight LLM call every time?
Jev-Trader uses TypeSafeAI Jev as a fast decision layer for market analysis and trading actions like BUY / HOLD / SELL.
The goal is to experiment with a trading architecture where Jev can quickly evaluate structured market signals, make deterministic decisions, and act as the decision engine behind a larger autonomous trading system.
I’m especially interested in:
making trading decisions faster and cheaper
reducing unnecessary LLM calls
combining structured market data with Jev’s decision logic
experimenting with autonomous trading workflows
eventually connecting the decision layer to real execution infrastructure with strong safety controls
This is still an experiment, and I’m actively iterating on the architecture.
I’d love feedback from traders, agent builders, and anyone experimenting with Jev / TypeSafeAI.
What would you add to Jev-Trader next?
— Kamil