Qatar QE Downtrend Replay (2025-02-13 to 2025-03-03)
Replay a 41.8% collapse on the Qatar QE across 30 daily bars with a 44.1% max drawdown. Step through each trading day, face 7 decision points, and receive an AI coach review in a simulated educational environment.
30 daily bars · 7 decision points · 2025-01 to 2025-03 · Stocks
Key facts
This window spans 42 days with a peak-to-trough drawdown of 44.1% and a 12.1% run-up.
- Max drawdown
- −44.1%
- Max run-up
- +12.1%
- Duration
- 42 days
- Largest single-day move
- −9.9%
- Bars
- 30 Daily bars
- Decision points
- 7
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 Qatar Stock Exchange Index (QSI) faced a severe downturn during early 2025. The data span covers January 30, 2025 to March 13, 2025 across 30 daily bars, representing a concentrated period of intense market stress in the Qatar equity market during the 2020s. For participants entering this replay, the task is to navigate each trading day while understanding the macro forces that made this decline so consequential.
The index experienced a devastating -41.8% decline, with closing prices falling from 1.96 to 1.14. The journey was marked by a maximum drawdown of 44.1%, meaning unrealized losses at the worst point exceeded two-fifths of peak portfolio value. The largest single-bar move of 9.9% underscores the violent intraday reversals that characterized this period, testing the resolve of any position holder.
This replay offers critical training for managing deep drawdowns under uncertainty. Participants must confront 7 decision points, including 3 marked as critical, requiring them to evaluate entry, exit, and position sizing in real time. The scenario trains traders to separate emotional reactions from systematic risk management, discipline position sizing before volatility spikes, and maintain decision-making clarity when portfolios are under sustained pressure.
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