Wheat Historical Replay: 2012-06 to 2012-10
Replay 84 daily bars of the 2012 US wheat market, where prices surged 16.9% from 739 to 863.75 between June and October. Step into 15 decision points, navigate 11.0% drawdowns and 5.5% single-day swings, and receive an AI coach review in a simulated, educational setting.
84 daily bars · 15 decision points · 2012-06 to 2012-10 · Commodities
Key facts
This window spans 119 days with a peak-to-trough drawdown of 11.0% and a 27.6% run-up.
- Max drawdown
- −11.0%
- Max run-up
- +27.6%
- Duration
- 119 days
- Largest single-day move
- +5.5%
- Bars
- 84 Daily bars
- Decision points
- 15
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
The wheat market in the summer of 2012 presented traders with one of the decade's most compelling commodity narratives. Over approximately four months spanning late June through October, US wheat prices moved through a significant boom phase, testing the resolve of anyone positioned in the market. For participants in this replay, the central challenge was navigating a market where the fundamental backdrop was shifting rapidly, creating both opportunity and substantial uncertainty.
The numbers tell the story clearly: prices climbed from 739 to 863.75, a gain of 16.9% across 84 trading days. Yet this trajectory was far from smooth. The market experienced a maximum drawdown of 11.0%, and traders faced individual daily moves of up to 5.5% — volatility that could quickly erode positions or test stop-loss discipline. With 15 decision points embedded throughout the replay, including 5 critical moments where directional conviction was essential, participants were forced to make real choices about position sizing, risk management, and when to add or reduce exposure.
This replay distills several timeless lessons about trading in volatile commodity markets. First, it demonstrates that directional accuracy matters less than risk management — a trader who called the boom correctly but mishandled the 11.0% drawdown would have underperformed one who managed risk more conservatively. Second, the 5.5% single-day moves underscore the importance of position sizing; what seems manageable on a percentage basis can become psychologically overwhelming when a position moves violently against you. Finally, the density of critical decision points highlights that markets rarely move in straight lines, and success requires both conviction and flexibility.
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