Technology Sel SPDR Downtrend Replay (2022-09-12 to 2022-09-30)
The XLK Technology ETF slid 14.4% across 30 daily bars ending October 11, 2022, carving a 16.1% drawdown for replay study. Step through each authentic trading session, confront seven decision points, and receive AI coach feedback in this simulated educational environment.
30 daily bars · 7 decision points · 2022-08 to 2022-10 · Stocks
Key facts
This window spans 42 days with a peak-to-trough drawdown of 16.1% and a 6.9% run-up.
- Max drawdown
- −16.1%
- Max run-up
- +6.9%
- Duration
- 42 days
- Largest single-day move
- −5.3%
- 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
Technology stocks entered a turbulent chapter in late summer 2022. The XLK Technology ETF, tracking the sector's heavyweights, faced mounting headwinds as Federal Reserve rate hikes intensified and inflation data remained stubborn. Between August 30 and October 11, investors navigated 30 daily trading sessions under escalating pressure, with the market's direction far from certain and each session carrying real consequences for portfolio positioning.
The price trajectory proved decisive: XLK closed the period at 58.46, down 14.4% from its 68.29 opening—a loss that tested even disciplined traders. The maximum drawdown reached 16.1%, meaning anyone holding through the worst stretch saw peak-to-trough losses exceed the headline number. A single session moved as much as 5.3%, illustrating how quickly sentiment could shift. Seven decision points punctuated the decline, three deemed critical moments where directional conviction mattered most.
For replay participants, this scenario strips away hindsight and forces real-time choices: when to add risk, when to reduce exposure, and how to manage a sustained pullback without panic. The episode teaches that drawdowns often exceed initial expectations, that volatility clusters demand liquidity planning, and that psychological discipline matters as much as technical analysis when markets trend lower. Studying this correction sharpens the habits needed when history inevitably repeats.