From idea to live deployment in minutes.

A new alpha-discovery surface, built with real quants and refined by AI reviewers. Surfaces tradeable setups across multiple timeframes and categories, ranked by signal quality.

A dedicated agent runs continuously, sourcing strategy ideas from TradingView, QuantConnect, X, and other public venues. Each candidate is backtested and run live so users see real performance before they copy or customise.

150+ data points supported natively, with more added on a rolling basis. Generate insightful visualizations during setup or ask the agent to compose custom UI on the fly — no manual chart configuration required.

The agent can browse any public site to mine for alpha — paste in a tweet, an article, or a TradingView post. Once you trust a setup, the same agent runs thinking, idea generation, backtest, and deployment on a schedule.

A single prompt fans out into many backtests at once across different timeframes and parameter sets. The agent evaluates the results and proposes the optimal configuration to deploy.

Users sign up, we provide the capital and the venue, they trade. We collect the trading data and feed it back into the platform to amplify the rest of the system.

Reads a user's current and prior strategies, surfaces blind spots and risk concentrations, and proposes automatic optimisations.

A composition surface for users to assemble their own autonomous trading agents. Ships with production-grade templates (momentum scanners, mean-reversion runners, self-learning agents), and a formal extension layer for external skills.

Hyperliquid is live today. Expanding to additional venues across spot, futures, and derivatives — same execution path, same risk primitives, more markets.