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AI Hedge Fund with Jev (X)

A video demo adds Jev to the AI Hedge Fund project, using it to backtest trading decisions after setting a strategy and picking tickers, running the process in seconds rather than minutes.

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100x fasterWe now get frontier-level trading decisions, 100x faster and cheaper than an LLM.x.com

Virat Singh added Jev to AI Hedge Fund, an open-source proof of concept that uses AI agents to make trading decisions. It does not place real trades. The workflow in the video has three steps: set a strategy, pick tickers, and backtest with Jev. The project’s README lists TypeSafe (Jev) as one of the model providers the investor agents can run on, alongside Anthropic, OpenAI and others.

Singh reports that the system now runs in seconds rather than minutes, and calls the result frontier-level trading decisions at 100 times the speed and lower cost of an LLM. The app installs with pipx install aihf and asks for a Financial Datasets key plus one model key on first run.

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