Quandora Community brings together people who are curious about how AI can reshape quant finance research. Through offline gatherings, live product demos, and community discussions, we create a space for early users, learners, builders, and systematic thinkers to explore the same space together.
Upcoming Gathering
Part 1
Surface raw predictive signals from market data and understand what makes a factor worth further investigation.
Part 2
Turn alphas into a testable strategy with validation guardrails such as Sharpe, rankIC, and consistency checks.
Part 3
Tune the strategy, stress-test the assumptions, and review how it behaves under different market conditions.
Part 4
Test the strategy in the market with no real money on the line, and see the downside before capital is at risk.
01
Live Dashboard Demo
Every step runs on screen. You see the data, the checks, the metrics, and the process as it happens.
02
Practical Build Session
This is not a lecture. We focus on how AI agents move through an institutional quant finance research process.
03
Bring Your Own AI Tool
Bring your laptop and your own ChatGPT, Claude, OpenClaw, Hermes, or preferred AI assistant.
04
Offline Community Discussion
Meet people who are curious about AI, quant finance, systematic research, and product building.
Build Your AI Quant Agent: From Factor Mining to Trade in One Loop
Register to join Build Your AI Quant Agent: From Factor Mining to Trade in One Loop.
WHO SHOULD ATTEND
You want to understand how AI can support financial research, market analysis, and structured decision review.
You are curious about quant finance, but do not yet know how factor mining, backtesting, or paper trading fit together.
You already think in rules, signals, and data, and want to see how AI agents can support a more complete research process.
You enjoy trying new tools, giving feedback, and exploring how an AI-native finance product is built.
PAST EVENTS
A look at our past offline gatherings, product demos, and community conversations in Singapore.
FAQ
Frequently Asked Questions
Short answers before you join.
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