Corn Historical Replay: 2012-06 to 2012-10
Corn prices surged 9.7% between June 29 and October 26, 2012, hitting historic highs amid a brutal drought. Replay each of the 84 daily bars, tackle 15 decision points with AI coach review, and explore what drove the grain boom in this simulated educational scenario.
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 13.8% and a 23.6% run-up.
- Max drawdown
- −13.8%
- Max run-up
- +23.6%
- Duration
- 119 days
- Largest single-day move
- +6.9%
- 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
In the summer of 2012, the US corn market confronted one of the most severe droughts in recent memory. A relentless heat wave gripped the Midwest during the critical growing season, threatening crop yields and sending shockwaves through agricultural commodity markets. Between June 29 and October 26, traders, farmers, and analysts watched prices surge toward historic highs, with the entire grain supply chain hanging in the balance. The market offered no easy answers—only the brutal arithmetic of scarcity and demand.
The numbers reveal a volatile journey. Across 84 daily bars, corn prices climbed from 672.5 to 737.75, a 9.7% gain that belies the turbulence beneath. A maximum drawdown of 13.8% tested every trader's conviction, while the largest single-bar move of 6.9% demonstrated how quickly sentiment could shift. Throughout this period, participants faced 15 decision points, with 5 critical junctures that could have dramatically altered outcomes. The boom was real, but it came with sharp teeth.
This scenario strips decision-making down to its essentials. The lesson is not about predicting weather or commodity cycles—it is about process, risk management, and psychological resilience. Participants must navigate substantial drawdowns even within a winning trend, respond to sudden volatility spikes with discipline rather than panic, and make sound choices at moments when certainty is impossible. For those training their market judgment, this historic grain boom offers a rigorous proving ground where the quality of decisions matters more than the inevitability of outcomes.
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