Regulation · S&P 500 Index (2000)
Replay 144 daily bars from 1999-11-18 to 2000-06-14 as the S&P 500 navigates regulatory shocks. Walk through 25 decision points, with AI coach reviews after every move in simulated capital only.
144 daily bars · 25 decision points · 1999-11 to 2000-06 · Stocks
Key facts
This window spans 209 days with a peak-to-trough drawdown of 11.2% and a 14.6% run-up.
- Max drawdown
- −11.2%
- Max run-up
- +14.6%
- Duration
- 209 days
- Largest single-day move
- −5.8%
- Bars
- 144 Daily bars
- Decision points
- 25
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 late 1999, the S&P 500 entered a period defined by regulatory uncertainty and antitrust scrutiny that would reshape the technology sector. The scenario spans from 1999-11-18 to 2000-06-14, covering 144 trading days that tested investor conviction during a pivotal transition between the 1990s and the early 2000s. Market participants faced the challenge of positioning portfolios while regulatory bodies deliberated on structural changes that could fundamentally alter competitive dynamics across multiple industries.
Over the full data span, the index rose from 1424.94 to 1470.54, a modest 3.2% gain that masked significant turbulence beneath the surface. The maximum drawdown reached 11.2%, and individual sessions saw moves as large as 5.8%, creating an environment where directional conviction was repeatedly tested. Participants navigated through 25 decision points, with 9 classified as critical moments demanding careful risk assessment and position management.
This replay teaches that regulatory periods demand a disciplined process over prediction. The gap between headline outcomes and actual price behavior underscores the importance of sizing positions relative to known volatility parameters and maintaining psychological resilience when drawdowns approach double digits. For decision trainees, the scenario offers a structured environment to practice calibrating conviction against uncertainty, distinguishing between information overload and meaningful signal, and managing the emotional friction that accompanies extended periods of policy-driven volatility.