Energy Sel SPDR Downtrend Replay (2019-12-23 to 2020-03-12)
Replay a brutal XLE energy ETF slide as it fell 46.2% from 30.02 to 16.16 between late 2019 and early 2020. Step through 11 daily decision points across the 110-bar span, with AI coach feedback after each move in a simulated training environment.
110 daily bars · 11 decision points · 2019-11 to 2020-04 · Stocks
Key facts
This window spans 161 days with a peak-to-trough drawdown of 62.0% and a 45.2% run-up.
- Max drawdown
- −62.0%
- Max run-up
- +45.2%
- Duration
- 161 days
- Largest single-day move
- −20.1%
- Bars
- 110 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.
Related scenarios
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- Energy Sel SPDR Downtrend Replay (2022-06-08 to 2022-06-23)2022 · Lv.3
- Energy Sel SPDR Downtrend Replay (2014-06-23 to 2014-10-14)2014 · Lv.2
- S&P 600 SmallCap Downtrend Replay (2020-01-16 to 2020-03-12)2019 · Lv.5
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Event Replay
What happened — and what it teaches
The Energy Select Sector SPDR (XLE) entered a volatile stretch of the US equity market as the 2010s gave way to the 2020s. Over a data window of 110 daily bars from 2019‑11‑12 to 2020‑04‑21, traders faced a stark reversal in sentiment toward oil‑related equities. The replay frames 11 decision points, four of which are flagged as critical moments when the direction of the move was most ambiguous, giving participants a chance to test their timing and risk‑management instincts in a simulated environment.
By the close of the period the ETF had collapsed from 30.02 to 16.16, a loss of -46.2%. The peak‑to‑trough decline reached 62.0%, while a single session saw a move as large as 20.1%. These figures underscore the magnitude of the drawdown and the occasional explosive intra‑day swings that can accompany a sector‑wide sell‑off. The journey from peak to trough was compressed into a handful of weeks, making rapid assessment of position sizing and exit strategies essential.
The episode is a textbook case for training decision‑making under stress. It forces participants to confront the psychological pull of loss aversion, the importance of pre‑defined risk limits, and the value of disciplined re‑evaluation at each decision point. By replaying the same bars and receiving AI coach feedback after every move, learners can observe how a systematic process—rather than intuition alone—helps navigate a crash that erased nearly half the portfolio's value in a matter of months.