Qatar QE Downtrend Replay (2024-07-25 to 2024-08-07)
A 32.8% drawdown defined the 2024 Qatar QE downturn, including a 20.0% single-day plunge. Replay those authentic daily bars step by step, face 7 decision points, and receive an AI coach review in a simulated, educational environment.
30 daily bars · 7 decision points · 2024-07 to 2024-08 · Stocks
Key facts
This window spans 41 days with a peak-to-trough drawdown of 32.8% and a 35.6% run-up.
- Max drawdown
- −32.8%
- Max run-up
- +35.6%
- Duration
- 41 days
- Largest single-day move
- +20.0%
- 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 index (QSI) entered a turbulent period spanning the 2020s decade, specifically the summer of 2024. Between mid-July and late August, traders and investors faced a critical test as the market descended into a pronounced crash phase. With volatility spiking and 30 daily bars recording the authentic market behavior, participants needed to navigate extreme price swings while managing significant downside exposure. The scenario recreates an environment where conviction was punished and discipline was essential.
The numbers tell a stark story: the index experienced a maximum drawdown of 32.8%, punctuated by a single-day plunge of 20.0%. Despite the brutal decline, the period closed with a modest 8.9% recovery. Seven decision points were embedded throughout the replay, with three deemed critical moments where positioning choices carried amplified consequences. The market closed the data window at 0.98, having started from 0.9, demonstrating that severe crashes can be followed by partial stabilization.
This replay teaches that surviving extreme volatility requires more than analytical skill. Participants practice calibrating position sizing to actual volatility regimes, maintaining focus when portfolios are under siege, and accepting drawdowns as a normal feature of market participation. The 32.8% peak-to-trough decline serves as a forcing function for stress-testing risk frameworks and emotional resilience. By confronting a real historical crash in a simulated setting, learners build the psychological armor needed when live capital is at stake.
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