Wheat Historical Replay: 2020-06 to 2020-09
Replay 64 daily bars of a 14.8% wheat rally from June to September 2020, facing 11 decision points including 4 critical turns. Step into each historical session day by day and receive an AI coach review of your simulated choices.
64 daily bars · 11 decision points · 2020-06 to 2020-09 · Commodities
Key facts
This window spans 91 days with a peak-to-trough drawdown of 10.8% and a 21.3% run-up.
- Max drawdown
- −10.8%
- Max run-up
- +21.3%
- Duration
- 91 days
- Largest single-day move
- +5.1%
- Bars
- 64 Daily bars
- Decision points
- 11
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 scenario recreates the US wheat market during the summer of 2020, a period when agricultural commodities faced significant uncertainty. Over 64 daily trading sessions from June 23 to September 22, 2020, participants experience the dynamics of a grain market navigating post-pandemic economic recovery. This replay places traders in historical sessions where each decision could shift outcomes.
Wheat prices rose from 486 to 558 over the replay period, delivering a 14.8% return. The journey was not linear—markets experienced a maximum drawdown of 10.8%, and the largest single session move reached 5.1%. Navigating this volatility required traders to manage 11 decision points, including 4 critical junctures where directional conviction mattered most.
This replay trains the mental discipline required to execute a process consistently. Participants learn that surviving drawdowns of 10.8% without abandoning strategy is what separates methodical traders from impulse-driven ones. The scenario also sharpens position sizing awareness—knowing when to lean into momentum and when to preserve capital builds the psychological resilience every market participant needs.
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