Energy Sel SPDR Uptrend Replay (2000-02-25 to 2000-04-03)
Replay the 2000 Energy Select SPDR uptrend with 10 decision points and a 9.2% drawdown across 54 daily bars. Step through each session, weigh every move, and receive an AI coach review in this simulated training environment.
54 daily bars · 10 decision points · 2000-02 to 2000-04 · Stocks
Key facts
This window spans 76 days with a peak-to-trough drawdown of 9.2% and a 20.1% run-up.
- Max drawdown
- −9.2%
- Max run-up
- +20.1%
- Duration
- 76 days
- Largest single-day move
- +6.9%
- Bars
- 54 Daily bars
- Decision points
- 10
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
- Energy Sel SPDR Uptrend Replay (1999-03-02 to 1999-05-04)1999 · Lv.4
- Energy Sel SPDR Uptrend Replay (2003-01-27 to 2003-06-11)2002 · Lv.1
- Energy Sel SPDR Uptrend Replay (2003-08-05 to 2004-03-01)2003 · Lv.3
- Energy Sel SPDR Uptrend Replay (2005-01-05 to 2005-03-04)2004 · Lv.3
- Energy Sel SPDR Uptrend Replay (2005-05-16 to 2005-08-11)2005 · Lv.4
- Energy Sel SPDR Uptrend Replay (2006-09-20 to 2006-12-14)2006 · Lv.1
Event Replay
What happened — and what it teaches
In early 2000, the Energy Select SPDR occupied a peculiar corner of a market gripped by the technology frenzy. As dot-com valuations spiraled into speculative territory, energy stocks represented a different kind of opportunity—an established sector navigating shifting supply dynamics and geopolitical pressures. The period spanning February to April placed traders in a challenging position: they had to decide whether to follow the momentum of a market obsessed with new-economy stories, or recognize that traditional sectors still commanded real capital flows. With 54 daily bars of authentic historical data, each decision carried weight.
What unfolded was a measured uptrend with meaningful turbulence. The price moved from 13.16 to 14.3, delivering an 8.7% gain over the data span. However, this upward trajectory was far from smooth—the maximum drawdown reached 9.2%, meaning traders had to endure periods where their positions sat in red territory. The largest single-bar move of 6.9% highlighted the volatility that could appear without warning. Across this period, 10 decision points tested participants, with 4 deemed critical, forcing them to act under uncertainty rather than with perfect hindsight.
This replay ultimately trains the decision-making process rather than outcomes. A 9.2% drawdown can rattle even the most prepared trader; the key is whether one follows a disciplined framework or acts on fear. The scenario teaches that volatility is not the enemy—failing to plan for it is. By confronting these historical moments, trainees learn to separate signal from noise, manage position risk against drawdown expectations, and maintain psychological equilibrium when a single bar swings 6.9%. These are the skills that transfer across markets and decades.