Technology Sel SPDR Downtrend Replay (2002-05-17 to 2002-07-02)
Replayed over 64 daily bars from April 2002, this XLK tech ETF scenario saw a 33.0% maximum drawdown and a 10.4% single-day spike. Users step through each session, face 11 decision points, and receive an AI coach review in a simulated, educational environment.
64 daily bars · 11 decision points · 2002-04 to 2002-07 · Stocks
Key facts
This window spans 91 days with a peak-to-trough drawdown of 33.0% and a 14.2% run-up.
- Max drawdown
- −33.0%
- Max run-up
- +14.2%
- Duration
- 91 days
- Largest single-day move
- +10.4%
- Bars
- 64 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 scenario replays a brutal stretch of the 2000s bear market through the Technology Select SPDR ETF, tracing 64 daily bars from late April 2002 through mid-summer. At the time, the tech sector was still reeling from the bubble collapse of 2000, and investor confidence remained fragile. Participants face the challenge of navigating an ETF that was plumbing multi-year lows, with uncertainty about whether the worst was over or just beginning.
The data reveals a punishing decline: XLK fell from 9.66 to 7.03, a 27.2% loss over the window. The maximum drawdown reached 33.0%, meaning anyone holding through the period endured a one-third erosion of capital at the worst point. A single session saw a 10.4% move, illustrating how quickly sentiment could shift in either direction. Four of the eleven decision points are marked critical, demanding participants make consequential choices under escalating pressure.
This replay sharpens the ability to manage risk when markets offer no safe harbor. Trainees must practice position discipline, avoid averaging down blindly, and respect their own loss thresholds. Psychologically, the scenario forces confrontation with the fear of being wrong in a declining market—where every bounce looks like a recovery and every new low tests resolve. Mastering these lessons in simulation prepares decision-makers to stay composed when real capital is at stake.