Community Hedge Fund: From Backtest Profits to Robust Strategies — Live & Free

Can a profitable backtest survive the next test?
Join our next live AI Trading Lab workshop as we take promising trading ideas through optimisation, Monte Carlo analysis and robustness testing—and develop the Community Hedge Fund research project together.
Wednesday, 9 September 2026
🇪🇸 11:30 AM–1:00 PM CEST — Spain / Central Europe
🇬🇧 10:30 AM–12:00 PM BST — United Kingdom
🇦🇺 7:30 PM–9:00 PM AEST — Sydney / Melbourne
FREE TO ATTEND • NO UPSELL • NO SALES PITCH
👉 Register for the live Zoom workshop
https://us06web.zoom.us/meeting/register/DisK3P5CR66ns5fWTsQOuQ
INSIDE THE COMMUNITY HEDGE FUND TEST DASHBOARD
We’ll explore the strategy library, the testing suite and Monte Carlo analysis. Dashboard figures are test, paper-trading or backtested examples shown to explain the research workflow; they are not verified live investment returns.
WHAT WE’LL EXPLORE

• From idea to strategy: turn a trading hypothesis into precise rules, AI-assisted code and a testable backtest.
• Optimisation: examine entry and exit parameters, risk settings and stable parameter regions.
• Monte Carlo analysis: explore alternative trade sequences, losing streaks and possible drawdowns.
• Robustness: challenge historical profits with unseen data, realistic spreads, commissions and slippage.
• Community AI agents: explore how individual machines can contribute controlled research tasks and structured results to a central community server.

We’ll discuss what deserves further testing, what should be rejected and what evidence would justify moving a strategy into paper trading.
BRING YOUR OWN TRADING IDEA
Bring a hypothesis, a question or a backtesting problem. If time allows, we’ll choose an audience idea and explore how to test it live. Beginners, experienced traders and developers are all welcome.
THE COMMUNITY HEDGE FUND VISION
Independent traders combining ideas, AI agents and research results to build a shared quantitative research capability. Everyone retains control of their own capital and trading decisions.
Educational and research purposes only. “Community Hedge Fund” describes a collaborative research project. Historical, backtested and simulated results do not guarantee future trading performance.