Corn Historical Replay: 2014-08 to 2015-01
Replay 106 daily bars from 2014-08 to 2015-01 as corn prices climbed 5.8% amid shifting US grain policy and a 12.2% drawdown. Make your own calls at 19 decision points, then review each choice with the AI coach in a fully simulated, educational environment.
106 daily bars · 19 decision points · 2014-08 to 2015-01 · Commodities
Key facts
This window spans 154 days with a peak-to-trough drawdown of 12.2% and a 29.3% run-up.
- Max drawdown
- −12.2%
- Max run-up
- +29.3%
- Duration
- 154 days
- Largest single-day move
- −4.1%
- Bars
- 106 Daily bars
- Decision points
- 19
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 setting is US grain markets in the late summer and fall of 2014, a period when shifting agricultural policy created heightened uncertainty around corn prices. The replay spans 106 trading days from late August 2014 through January 2015, capturing a market navigating complex policy signals with limited clarity on future direction. Nineteen decision points—including seven critical junctures—test participants' ability to read evolving conditions without hindsight advantage.
By the close of the period, corn had gained 5.8%, moving from 365.5 to 386.75, yet the journey proved treacherous. The market experienced a maximum drawdown of 12.2% and its largest single session swing measured 4.1%, underscoring that directional outcomes alone fail to convey the actual turbulence encountered along the way.
This replay sharpens recognition of how policy uncertainty reshapes risk profiles, demanding disciplined position management and emotional resilience when facing drawdowns that could shake conviction in any position. Participants engage with authentic market mechanics, receiving AI coach evaluation to expose psychological blind spots and reinforce systematic decision-making under ambiguity.
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