Soybean Meal Historical Replay: 2018-06 to 2018-09
Replay the 2018 soybean meal slide from June through September, watching price fall -8.1% to 306.2 across 68 daily bars. Walk decision-by-decision through 12 market stress points, submit your choices, then review with the AI coach in a fully simulated training environment.
68 daily bars · 12 decision points · 2018-06 to 2018-09 · Commodities
Key facts
This window spans 97 days with a peak-to-trough drawdown of 11.9% and a 5.1% run-up.
- Max drawdown
- −11.9%
- Max run-up
- +5.1%
- Duration
- 97 days
- Largest single-day move
- +3.5%
- Bars
- 68 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
In mid-2018, China's soybean meal futures market faced mounting pressure as trade tensions between the United States and China reshaped agricultural commodity flows. The period from June through September represents a classic case study in commodity volatility—where macroeconomic forces translate directly into price dislocation. For traders and risk managers, this 68-trading-day window tested every aspect of position management, from entry timing to drawdown tolerance.
The numbers tell a story of sustained decline: soybean meal closed the period at 306.2, down -8.1% from the June 20 opening of 333.2. The path was neither smooth nor linear. A maximum drawdown of 11.9% tested stop-loss discipline, while the largest single-bar move of 3.5% underscored how quickly momentum can shift in stressed markets. Across 12 decision points—four of them critical—participants were forced to act under uncertainty, with incomplete information and real consequences for their simulated positions.
This replay is ultimately a lesson in process over prediction. The soybean meal slide offers no clean entry signal or obvious exit, only the messy reality of living through a sustained decline. Decision training here focuses on three pillars: risk calibration before the fact, psychological resilience during the fact, and honest evaluation after the fact. Participants learn to separate the quality of their decisions from the randomness of outcomes—a distinction that separates disciplined practitioners from gamblers in any market environment.