S&P 600 SmallCap Uptrend Replay (2017-04-13 to 2017-07-25)
Replay 142 daily bars of the S&P 600 SmallCap from February to September 2017, a period capped by a 2.7% single-bar surge and a 6.7% drawdown. Step into 11 decision points, including 4 critical ones, and receive an AI coach review of your simulated calls.
142 daily bars · 11 decision points · 2017-02 to 2017-09 · Stocks
Key facts
This window spans 203 days with a peak-to-trough drawdown of 6.7% and a 7.5% run-up.
- Max drawdown
- −6.7%
- Max run-up
- +7.5%
- Duration
- 203 days
- Largest single-day move
- −2.7%
- Bars
- 142 Daily bars
- Decision points
- 11
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 early 2017, the S&P 600 SmallCap index entered a phase that would test even seasoned participants. Over 142 daily bars spanning February 22 to September 13, traders navigated a small-cap landscape marked by sudden shifts in sentiment. With 11 decision points embedded throughout the replay—including 4 critical junctures—the scenario captures the tension between opportunity and uncertainty that defined this slice of the 2010s market. The index moved within a narrow net range, yet the journey between those endpoints told a far more complex story than the final number suggested.
The headline outcome was modest: the index closed at 70.43, down merely -0.2% from its opening reference of 70.56. Beneath that flat surface lay a 6.7% maximum drawdown and a largest single-bar move of 2.7%, revealing pockets of acute stress and sharp reversals. Participants who treated the period as a straightforward directional bet faced repeated challenges, while those who respected the underlying volatility found the landscape demanded constant recalibration rather than passive positioning.
For decision trainers, this replay sharpens several essential skills. Navigating an environment where the net result barely shifted while drawdowns reached 6.7% teaches that outcome independence matters more than prediction accuracy. The 4 critical decision points serve as pressure tests for risk calibration and emotional discipline, moments where process adherence separates measured responses from reactive ones. The scenario ultimately reinforces that surviving volatility—rather than avoiding it—is the foundation of resilient market participation.