Soybean Meal Historical Replay: 2021-02 to 2021-05
Replay 66 daily bars of US soybean meal from February to May 2021, when a commodity shock drove a 10.0% drawdown and a 6.3% single-bar surge. Step through 12 decision points with AI coach feedback in a simulated training environment.
66 daily bars · 12 decision points · 2021-02 to 2021-05 · Commodities
Key facts
This window spans 93 days with a peak-to-trough drawdown of 10.0% and a 12.0% run-up.
- Max drawdown
- −10.0%
- Max run-up
- +12.0%
- Duration
- 93 days
- Largest single-day move
- +6.3%
- Bars
- 66 Daily bars
- Decision points
- 12
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 US soybean meal market entered early February 2021 against a backdrop of heightened commodity volatility. Over the next three months, spanning 66 daily trading bars from February 3 to May 7, traders navigated a textbook commodity shock environment. Twelve decision points punctuated this period, four of them critical moments where directional conviction became essential.
The price trajectory from 435.5 to 442.5 delivered a modest 1.6% net gain, yet this figure masks the turbulent journey between. A maximum drawdown of 10.0% tested risk management discipline, while a single-session surge of 6.3% demanded rapid position assessment. The tension between aggregate outcome and intraperiod volatility defines this replay.
This scenario sharpens the distinction between outcome and process in trading education. Participants confront the reality that surviving drawdowns often matters more than capturing every spike. The AI coach feedback loop transforms reactive habits into deliberate frameworks, building psychological resilience through repeated exposure to historical stress points. In a simulated environment, traders practice the calibrated judgment essential for navigating real commodity cycles without capital at risk.
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