Qatar QE Downtrend Replay (2026-03-23 to 2026-04-07)
Replay a brutal Qatar QE downtrend where prices swung 25.0% in a single day across 30 daily bars. You walk through the historical session-by-session, face seven decision points, and receive an AI coach review of every simulated choice.
30 daily bars · 7 decision points · 2026-03 to 2026-04 · Stocks
Key facts
This window spans 42 days with a peak-to-trough drawdown of 32.4% and a 50.7% run-up.
- Max drawdown
- −32.4%
- Max run-up
- +50.7%
- Duration
- 42 days
- Largest single-day move
- +25.0%
- 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 (QSI) faced a brutal downtrend during March-April 2026, and this replay scenario lets you experience it decision by decision. Spanning 30 daily bars from March 9 to April 20, 2026, with the core replay window focused on March 23 to April 7, the scenario places you inside a crash event where extreme single-day moves could wipe out positions or create false recovery signals. Seven decision points test your ability to navigate volatile conditions, with three marked as critical moments where outcomes diverged sharply.
The closing price moved from 0.93 to 1.01, representing an 8.6% final recovery. But that gentle-sounding figure conceals the violence beneath: the maximum drawdown reached 32.4%, and the largest single-bar move hit 25.0%. A move that large in a single day shatters typical risk assumptions and renders standard stop-loss approaches nearly useless. Participants who survived did so not because they predicted the bottom, but because their process accounted for the possibility of catastrophic single-session moves.
This scenario teaches that crash conditions expose the gap between theoretical risk management and real-world execution. The seven decision points, particularly the three critical junctures, force honest assessment of position sizing, liquidity assumptions, and the psychology of market panic. The lesson is not about calling tops or bottoms but about building a process resilient enough to survive when volatility exceeds normal ranges and when market structure itself becomes unreliable.
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