MSCI Emerg Markets Downtrend Replay (2022-04-04 to 2022-05-12)
Step into a 56-day MSCI Emerging Markets correction with a 15.6% max drawdown and a sharp 8.1% single-day move. You replay each daily bar, navigate 4 critical decision points out of 10, and receive an AI coach review — simulated capital, purely educational.
56 daily bars · 10 decision points · 2022-03 to 2022-06 · Stocks
Key facts
This window spans 79 days with a peak-to-trough drawdown of 15.6% and a 12.4% run-up.
- Max drawdown
- −15.6%
- Max run-up
- +12.4%
- Duration
- 79 days
- Largest single-day move
- +8.1%
- Bars
- 56 Daily bars
- Decision points
- 10
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 MSCI Emerging Markets index entered a pronounced correction phase during the spring of 2022, a period when global risk sentiment faced significant headwinds. This replay scenario spans 56 daily bars from mid-March to early June 2022, placing participants directly into a downtrend environment where protecting capital while maintaining strategic discipline was paramount. Investors were tested on their ability to read shifting market conditions and respond to deteriorating price action without the benefit of hindsight.
The headline outcome shows a modest 1.9% gain from 41.54 to 42.34 over the full period, yet this figure masks considerable turbulence beneath the surface. The index experienced a maximum drawdown of 15.6% at its worst point, while a single session saw an extreme 8.1% move that would have tested even experienced participants. Navigating this volatile terrain required both tactical agility and emotional resilience, as trend-following and counter-trend strategies would have produced dramatically different outcomes depending on entry timing.
This correction replay offers rich terrain for decision training. Participants confront 10 decision points, with 4 deemed critical, requiring them to balance conviction against risk management in real time. The scenario forces traders to examine their processes for position sizing, stop discipline, and psychological composure when facing consecutive adverse moves. By replaying this authentic drawdown without real financial consequences, learners can identify behavioral tendencies and refine their approach before encountering similar conditions with actual capital at stake.