Consumer Disc SPDR Uptrend Replay (2004-08-12 to 2004-12-30)
Replay a Consumer Discretionary ETF uptrend across 150 daily bars ending 2005-02-04, with a 10.0% gain and a 6.8% maximum drawdown. Step through each authentic day, tackle 11 decision points, and receive AI coach feedback in this simulated training environment.
150 daily bars · 11 decision points · 2004-07 to 2005-02 · Stocks
Key facts
This window spans 213 days with a peak-to-trough drawdown of 6.8% and a 22.3% run-up.
- Max drawdown
- −6.8%
- Max run-up
- +22.3%
- Duration
- 213 days
- Largest single-day move
- +2.3%
- Bars
- 150 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
In the summer of 2004, the Consumer Discretionary SPDR (XLY) was navigating a mid-cycle recovery alongside a broader stock market uncertain about Federal Reserve policy. This 150-day replay spans from early July 2004 through early February 2005, placing traders inside a sustained uptrend where the sector ETF climbed from 15.53 to 17.08. Eleven decision points punctuate the journey, four of them critical junctures demanding clear rationale and disciplined execution. The scenario asks: given authentic daily bars and no hindsight, can you read momentum, manage risk, and stay the course?
The final outcome was a 10.0% gain over the full data window, but the path was anything but straight. A maximum drawdown of 6.8% tested conviction, while the largest single-day move of 2.3% could have easily shaken a position taken at the wrong moment. Navigating this uptrend required more than simply holding—it demanded active engagement with each of the 11 decision points, weighing entry timing, position sizing, and exit discipline against the tape. The 2000s vintage data captures a market learning to price resilience amid mixed economic signals.
For decision training, this replay underscores three enduring lessons. First, process matters more than prediction: the goal is a repeatable method applied consistently across authentic data. Second, risk management is measured against maximum drawdown, not just final return—a 6.8% pullback is manageable with rules in place, but catastrophic without them. Third, psychology is the variable that determines whether a sound strategy survives a 2.3% intraday swing or a prolonged consolidation. This scenario is a textbook case for practicing emotional neutrality under historical market conditions.
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