Corn Historical Replay: 2015-06 to 2015-12
Replay 116 days of corn trading from June to December 2015, navigating an 19.8% drawdown as policy shocks roiled grains markets. Step through each decision point in this simulated, educational market replay and receive an AI coach review.
116 daily bars · 20 decision points · 2015-06 to 2015-12 · Commodities
Key facts
This window spans 164 days with a peak-to-trough drawdown of 19.8% and a 14.5% run-up.
- Max drawdown
- −19.8%
- Max run-up
- +14.5%
- Duration
- 164 days
- Largest single-day move
- +8.0%
- Bars
- 116 Daily bars
- Decision points
- 20
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 corn market entered the second half of 2015 amid mounting uncertainty in global grains. Policy shifts and macroeconomic crosscurrents—including China's currency dynamics in August—rippled through commodity sectors, creating an environment where grains traders faced sudden regime changes. Over 116 trading days from late June through early December, participants navigated a landscape where traditional assumptions about supply-demand dynamics were repeatedly tested by exogenous shocks.
What unfolded was a study in volatility containment. Corn prices drifted from 383.25 to 377.25, a modest -1.6% net decline, yet this aggregate figure concealed violent internal movements. The market experienced a maximum drawdown of 19.8% and its largest single session swing reached 8.0%. Across 20 decision points—7 deemed critical—traders who failed to respect risk parameters were repeatedly punished, while those who maintained disciplined position sizing found opportunities to accumulate favorable entries during dislocations.
This replay ultimately teaches that process discipline outweighs outcome prediction. The gap between the modest closing loss and the brutal 19.8% drawdown reveals how policy-driven noise can cascade into sustained drawdowns for unprepared participants. Effective decision training here centers on three pillars: building risk frameworks robust enough to survive the 8.0% single-bar shocks, cultivating psychological equilibrium when the market environment shifts without warning, and accepting that in the 2010s grains complex, volatility is not a bug but a structural feature. Navigating such conditions demands both systematic rigor and the mental flexibility to adapt when the regime changes.