AEX Uptrend Replay (2019-05-31 to 2019-07-24)
Replay 78 daily bars of the 2019 AEX trend from 568.72 to 545.23, including an 8.3% drawdown. You step through each session, face 11 decision points, and receive an AI coach review of your simulated choices.
78 daily bars · 11 decision points · 2019-05 to 2019-08 · Stocks
Key facts
This window spans 109 days with a peak-to-trough drawdown of 8.3% and a 7.9% run-up.
- Max drawdown
- −8.3%
- Max run-up
- +7.9%
- Duration
- 109 days
- Largest single-day move
- −3.2%
- Bars
- 78 Daily bars
- Decision points
- 11
Every figure above is computed programmatically from this replay’s own candle series — no editorial input, no LLM. Methodology: Methodology
The market advances day by day. You only see candles up to the current day — as if you were really there.
At key decision points choose Buy / Trim / Exit / Hold. Each decision advances the timeline by one day.
After settlement you get a six-dimension score and an AI coach review. Your result enters the scenario leaderboard.
Event Replay
What happened — and what it teaches
The Amsterdam Exchange Index (AEX) faced a pivotal period from early May to late August 2019, a stretch that tested even seasoned participants. This replay covers 78 daily bars of authentic price action, placing traders directly into the decision flow of a trend reversal that unfolded across the 2010s decade. With 11 decision points embedded throughout—4 marked as critical—participants must navigate uncertainty without the benefit of hindsight, managing positions while the broader picture remains unclear.
The index declined from 568.72 to 545.23, representing a -4.1% loss over the data span. Yet the headline figure masks the real challenge: an 8.3% max drawdown and a largest single-bar move of 3.2%. These extremes reveal how apparent stability can conceal sudden shifts, making this period particularly instructive for understanding volatility dynamics. The gap between total decline and maximum drawdown tells the story of whipsaw risk that characterizes choppy markets.
This scenario excels at teaching traders to distinguish between temporary setbacks and trend reversals under real-world conditions. The multiple decision points force participants to act with incomplete information, mirroring actual market pressure. Psychological resilience becomes essential when facing drawdowns that exceed the final loss figure. Success depends not on predicting the outcome, but on maintaining disciplined process throughout uncertainty—reviewing choices with the AI coach afterward to identify where emotion or flawed reasoning might have compromised execution.