AEX Uptrend Replay (2021-10-04 to 2021-11-17)
Replay a 66-day stretch of the AEX from September to December 2021, when the index closed up only 0.6% despite a 6.7% drawdown along the way. Walk through each daily bar, face four critical decision points, and receive an AI coach review in this simulated training environment.
66 daily bars · 11 decision points · 2021-09 to 2021-12 · Stocks
Key facts
This window spans 91 days with a peak-to-trough drawdown of 6.7% and a 9.3% run-up.
- Max drawdown
- −6.7%
- Max run-up
- +9.3%
- Duration
- 91 days
- Largest single-day move
- +3.5%
- Bars
- 66 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) presents traders with a 66-day historical window spanning September 9 to December 9, 2021. This period covers 66 daily bars and offers 11 decision points, of which 4 are marked as critical. The scenario captures a segment of the 2020s decade during which European equity markets navigated post-pandemic recovery dynamics and shifting monetary expectations.
Over the full data span, the AEX advanced from 787.17 to 791.91, delivering a modest return of 0.6%. Beneath this flat headline figure lay a turbulent internal journey: the index endured a maximum drawdown of 6.7%, and individual sessions produced moves as large as 3.5%. These statistics reveal that the apparent stability masked significant interim volatility and counter-trend pressure, creating multiple environments where directional commitments were tested.
This replay sharpens three core competencies. First, participants practice distinguishing between noise-driven fluctuations and genuine trend signals when the aggregate outcome is minimal. Second, the 6.7% drawdown forces explicit application of position sizing and loss-limit discipline. Third, facing 11 decision points—including 4 critical junctures—trains the psychological stamina required to reassess and adapt without recency bias. The AI coach review ensures each choice is examined against the authentic historical tape, turning a flat-return period into a rich training ground for process-oriented decision making.