Soybean Meal Historical Replay: 2021-04 to 2021-07
Relive a dramatic soybean meal window from April to July 2021, when prices swung through a 23.3% drawdown on Chinese grain markets. Step into a 62-bar replay, make 11 daily decisions, and receive AI coach feedback in a simulated learning environment.
62 daily bars · 11 decision points · 2021-04 to 2021-07 · Commodities
Key facts
This window spans 89 days with a peak-to-trough drawdown of 23.3% and a 14.2% run-up.
- Max drawdown
- −23.3%
- Max run-up
- +14.2%
- Duration
- 89 days
- Largest single-day move
- +7.8%
- Bars
- 62 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
In spring 2021, Chinese grain markets faced intense volatility as soybean meal prices became a focal point of commodity trading. The 2021-04 to 2021-07 window on the CN grains market presented traders with a complex landscape requiring careful risk management. This era, spanning the 2020s, saw commodity markets respond to shifting supply-demand dynamics and policy signals that would test even experienced participants.
The price trajectory from 401.2 to 357.2 represented an 11.0% decline, yet the real challenge lay in surviving a 23.3% maximum drawdown during the period. A single trading session saw prices move as much as 7.8%, creating high-pressure decision points where traders had to act decisively. Across the 62-bar replay, 11 decision points emerged, with 4 proving critical to performance outcomes.
This replay sharpens the ability to manage risk and emotional discipline under pressure. Participants learn to navigate volatility, make calculated decisions during extreme price movements, and develop resilience when facing significant drawdowns. The scenario demands not just market knowledge, but psychological fortitude and strategic thinking in the face of unpredictable commodity swings.
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