Sugar Historical Replay: 2010-05 to 2010-08
Replay a 2010 soft-commodity shock across 66 daily bars where prices climbed 29.7% amid 10.9% drawdowns. You move through each trading day, face 12 decision points including 4 critical junctures, and receive an AI coach review of every choice.
66 daily bars · 12 decision points · 2010-05 to 2010-08 · Commodities
Key facts
This window spans 95 days with a peak-to-trough drawdown of 10.9% and a 43.2% run-up.
- Max drawdown
- −10.9%
- Max run-up
- +43.2%
- Duration
- 95 days
- Largest single-day move
- −9.7%
- Bars
- 66 Daily bars
- Decision points
- 12
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 the summer of 2010, sugar futures faced a period of intense volatility as soft commodity markets experienced elevated uncertainty. This replay spans 66 daily bars from May 6 to August 9, 2010, placing traders in the 2010s decade where prices climbed steadily yet unpredictably. The scenario presents 12 decision points including 4 critical junctures where directional conviction and risk management were essential.
Prices ascended from 13.67 to 17.73 over the data span, representing a cumulative gain of 29.7%. The journey, however, was far from linear: a maximum drawdown of 10.9% tested conviction, while the largest single-bar move of 9.7% demanded split-second sizing and exit decisions. These figures underscore that trending markets still punish indecision and poor risk calibration.
This replay sharpens decision training by confronting participants with the psychological strain of trending yet volatile soft commodity environments. Navigating 12 decision points demands a repeatable process, disciplined position sizing, and emotional equilibrium when drawdowns materialize. The AI coach feedback loop helps identify cognitive biases and refine approach to future commodity shocks.