Quantitative tooling for prediction markets.

Forecast Forge is building research infrastructure for systematic trading in prediction markets — combining trade rationale, model-driven analysis, and backtesting into a single workflow.

Contact us

What we believe

Prediction markets are one of the cleanest environments for applied probabilistic reasoning, but the tooling layer is still early.

Signals

We are building internal workflows for surfacing model-backed market opportunities with clear assumptions, confidence ranges, and execution context.

Trade theses

Every position should have an explicit rationale. Forecast Forge tracks the thesis behind each trade so outcomes can be reviewed, compared, and improved.

Backtesting

We are building a historical simulation layer for evaluating strategies, stress-testing assumptions, and measuring performance over time.

What we’re building

A lean stack for generating, evaluating, and explaining prediction market trades with reproducible quantitative workflows.

Status

Forecast Forge is currently in early development. A public product is coming soon.