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Build Your Own AI Hedge Fund: From Research to Execution in One Loop

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About this event

What to expect

Build an AI-powered quant trading workflow from research to paper execution in this hands-on Quandora workshop in Singapore on 20 August 2026.

Rather than presenting a backtest and asking you to trust the result, Quandora will run its Full Agentic Quant Finance Loop live and on-screen. You’ll follow the journey from finding predictive signals in market data to creating, checking and optimising a strategy,then see it enter paper trading without putting real money at risk.

What you’ll build and explore

The practical session covers four connected stages:

  • Factor mining: surface raw predictive signals from market data
  • Strategy creation: turn potential alpha into a testable strategy, using validation guardrails including Sharpe, rankIC and consistency
  • Strategy optimisation: tune and stress-test the strategy
  • Paper trading: test the result in the market with no real capital on the line

Every stage runs through a live dashboard, so attendees can inspect the numbers, validation checks and potential downside before execution. The focus is not simply on a finished backtest, but on understanding how AI agents move through an institutional quant research workflow from beginning to end.

Format and schedule

This is a practical build session rather than a lecture. An installation guide will be sent at 12:00pm, ahead of registration at 7:00pm and installation troubleshooting from 7:15pm. The main event begins at 7:30pm with an introduction from Jerald of Quandora, followed by a group photo, an introduction to Cloudfare at 7:40pm and a session with Louis Liu of Quandora at 8:00pm. Closing and networking are listed from 8:30pm.

Bring a laptop and access to your own ChatGPT or Claude account so you can participate in the build.

Who should attend

No quant background is required. The workshop is designed for people curious about AI quant trading, agentic investment and the mechanics of turning a market idea into a tested strategy. It is particularly relevant to:

  • AI and finance enthusiasts
  • Developers building with AI agents
  • AI power users
  • Anyone who wants a transparent view of quant research, validation and risk…

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