S&P 600 SmallCap Downtrend Replay (2000-09-07 to 2000-10-12)
Replay a 52-bar S&P 600 SmallCap correction that fell 1.5% from 17.68 to 17.42, including an 11.8% drawdown across 2000-08-17 to 2000-10-30. You make 9 decision points, three flagged critical, with an AI coach reviewing each simulated choice.
52 daily bars · 9 decision points · 2000-08 to 2000-10 · Stocks
Key facts
This window spans 74 days with a peak-to-trough drawdown of 11.8% and a 6.3% run-up.
- Max drawdown
- −11.8%
- Max run-up
- +6.3%
- Duration
- 74 days
- Largest single-day move
- +3.5%
- Bars
- 52 Daily bars
- Decision points
- 9
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 S&P 600 SmallCap index during the 2000s faced a sharp correction phase spanning 2000-08-17 to 2000-10-30. This 52-bar replay captures a period where small-cap stocks experienced elevated volatility, testing the resolve of any participant attempting to navigate the choppy waters of a declining market. What was at stake was not merely protecting capital but understanding how drawdowns accumulate and how critical decision points can define long-term outcomes.
The index closed at 17.42, down 1.5% from its 17.68 starting level, yet this modest headline decline masked an 11.8% max drawdown experienced during the period. The largest single-bar move of 3.5% underscored the kind of intraday swings that can trigger emotional decisions. Across these 52 daily bars, participants faced 9 decision points, with 3 flagged as critical moments where positioning choices carried heightened consequence.
This replay distills lessons in process over prediction. The 11.8% drawdown illustrates how terminal losses lag behind peak pain, demanding pre-defined risk thresholds. Critical decision points train the discipline to act when consensus grows complacent or panicked. Psychologically, the scenario reveals that surviving a correction requires accepting temporary losses as information rather than failure, reinforcing why decision training must be as much about emotional regulation as analytical frameworks.