S&P 400 MidCap Downtrend Replay (1991-04-17 to 1991-05-15)
Replay a 1991 S&P 400 MidCap downtrend across 42 daily bars with a 6.2% drawdown, navigating 8 decision points where 3 are critical. Step through each trading day, weigh the 1.9% volatility swings, and receive an AI coach review of your decisions in a simulated, educational environment.
42 daily bars · 8 decision points · 1991-04 to 1991-05 · Stocks
Key facts
This window spans 58 days with a peak-to-trough drawdown of 6.2% and a 5.4% run-up.
- Max drawdown
- −6.2%
- Max run-up
- +5.4%
- Duration
- 58 days
- Largest single-day move
- −1.9%
- Bars
- 42 Daily bars
- Decision points
- 8
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 400 MidCap index entered a correction phase during the spring of 1991, a period when markets were still adjusting to the lingering effects of the early 1990s recession. Participants replaying this scenario faced a classic mid-cap rotation challenge: navigating increased volatility while preserving capital during a downtrend. The replay window captures a meaningful test of discipline and risk management under uncertainty.
Across the 42 daily bars spanning April 2 to May 30, 1991, the index ultimately closed at 126.52 from an opening of 123.89, recording a net gain of 2.1 percent. This headline figure obscures the turbulence beneath the surface: a maximum drawdown of 6.2 percent tested portfolio resilience at various points, while the largest single-bar move of 1.9 percent created sharp intraday pressure. Eight decision points were embedded throughout, with three critical junctures demanding precise responses to shifting market conditions.
This replay distills several enduring lessons for decision training. First, it demonstrates that net outcomes often look different from the emotional journey taken to reach them. Second, the 6.2 percent drawdown illustrates how portfolio construction and risk sizing determine whether volatility becomes a learning opportunity or a damaging loss. Third, navigating 1.9 percent swings requires pre-defined rules rather than reactive impulses. The educational value lies in experiencing these dynamics without real capital at risk, building psychological resilience for future volatility.