Rough Rice Historical Replay: 2011-02 to 2011-08
Rough rice rallied 12.0% from February to August 2011, with a 16.7% drawdown and a 6.6% single-day spike testing every decision. Replay 126 authentic daily bars, face 22 decision points, and receive an AI coach review of each call, simulated capital only.
126 daily bars · 22 decision points · 2011-02 to 2011-08 · Commodities
Key facts
This window spans 181 days with a peak-to-trough drawdown of 16.7% and a 35.6% run-up.
- Max drawdown
- −16.7%
- Max run-up
- +35.6%
- Duration
- 181 days
- Largest single-day move
- +6.6%
- Bars
- 126 Daily bars
- Decision points
- 22
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
Rough rice markets entered early 2011 navigating a complex landscape of shifting agricultural supply chains, weather uncertainties, and evolving demand patterns from major Asian importers. The six-month window from February to August represented a critical testing ground for traders and analysts alike, where positioning decisions carried significant capital implications. Participants faced the challenge of interpreting fundamental signals while managing exposure during a period marked by notable price instability.
The market delivered a net advance of 12.0% over the period, with prices moving from 15.23 to 17.05, yet this headline figure concealed substantial turbulence beneath the surface. A maximum drawdown of 16.7% tested portfolio resilience at multiple points, while a single-day spike of 6.6% demonstrated how quickly sentiment could shift. Across 126 trading days, practitioners encountered 22 distinct decision points, with 8 deemed critical to overall performance outcomes.
This replay scenario distills the essence of commodity trading decision-making under uncertainty. The gap between the 12.0% final return and the 16.7% interim loss underscores how volatility management determines whether traders capture or surrender gains. The concentration of critical decisions—8 out of 22 nodes—reveals how a small number of choices can define an entire period's result. Practicing these authentic historical moments trains the mental discipline required to maintain process adherence when prices swing dramatically, transforming historical analysis into applicable decision-making skills.