Wheat Historical Replay: 2010-10 to 2011-01
Replay 66 daily bars of US wheat from October 2010 to January 2011, when prices climbed 16.4% amid policy-driven volatility. Walk through 12 decision points, four of them critical, and receive AI coach feedback in a simulated, educational-only environment.
66 daily bars · 12 decision points · 2010-10 to 2011-01 · Commodities
Key facts
This window spans 95 days with a peak-to-trough drawdown of 14.9% and a 29.1% run-up.
- Max drawdown
- −14.9%
- Max run-up
- +29.1%
- Duration
- 95 days
- Largest single-day move
- +9.1%
- 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
This replay captures US wheat futures during the final quarter of 2010, a period when unprecedented monetary policy decisions were reshaping global commodity markets. The era of quantitative easing had taken hold, and agricultural commodities were caught in the crosscurrents of currency dynamics and inflation expectations. For traders navigating this environment, understanding the interplay between policy signals and grain prices was essential.
Over 66 trading days spanning October 2010 to January 2011, wheat prices advanced from 659.25 to 767.25, representing a 16.4% gain. The journey was anything but linear—volatility was the defining characteristic, with a maximum drawdown of 14.9% testing conviction and a single-bar move of 9.1% demanding split-second risk management. Participants faced 12 distinct decision points, four of which represented critical inflection moments where the gap between disciplined execution and reactive panic determined outcomes.
This replay ultimately teaches that policy-driven markets reward preparation over prediction. The 14.9% drawdown underscores how quickly unrealized gains can evaporate without proper sizing. The 9.1% single-bar swing demonstrates that tail-risk events are not anomalies but recurring features of commodity trading. The four critical decision points reveal that psychological discipline—holding positions through volatility rather than abandoning conviction at market extremes—separates training value from actual performance degradation. For decision trainees, the lesson is clear: build systems before sentiment takes over.
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