Cotton Historical Replay: 2009-11 to 2010-05
Replay 122 trading days from November 2009 through May 2010 as cotton climbed 19.0% to 80.76. Step through 21 daily decision points across the historical boom and receive AI coach feedback on every simulated trade.
122 daily bars · 21 decision points · 2009-11 to 2010-05 · Commodities
Key facts
This window spans 177 days with a peak-to-trough drawdown of 12.6% and a 26.5% run-up.
- Max drawdown
- −12.6%
- Max run-up
- +26.5%
- Duration
- 177 days
- Largest single-day move
- +5.9%
- Bars
- 122 Daily bars
- Decision points
- 21
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
This replay immerses you in the cotton market during a historic boom period spanning November 2009 to May 2010. Over 122 trading days, you navigate a commodity experiencing significant upward momentum in the softs sector. The scenario captures the intensity of a market mid-move, placing you at decision points where the trajectory could have shifted. Your choices here carry weight not in real capital but in developing the analytical instincts needed when markets show their true character.
The numbers tell a compelling story. Cotton climbed from 67.89 to 80.76, delivering a 19.0% return over the period. Yet this was no straight-line ascent. The market endured a 12.6% maximum drawdown and exhibited a largest single-bar move of 5.9%, revealing the turbulence beneath the surface. Across 21 decision points—7 deemed critical—you experience the pressure of entries, exits, and holds amid genuine volatility. Each simulated trade becomes a lesson in reading momentum and managing risk when prices swing dramatically within a single session.
This historical period sharpens three core skills for decision training. First, you learn to balance conviction with flexibility, holding a thesis while adapting to changing conditions. Second, you develop sensitivity to drawdown, understanding that a 12.6% decline tests discipline even within a profitable trend. Third, you train psychologically to execute process without emotional interference. The AI coach feedback on every simulated trade isolates these patterns, turning this 2009–2010 episode into a training ground for systematic decision-making.
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