Soybean Meal Historical Replay: 2023-06 to 2023-09
Replay 62 trading days of soybean meal from June to September 2023, a period capped by a 14.0% drawdown and a striking 12.7% single-session swing. Step through each bar, face 4 critical decision points, and review your choices with the AI coach in a fully simulated, educational environment.
62 daily bars · 11 decision points · 2023-06 to 2023-09 · Commodities
Key facts
This window spans 90 days with a peak-to-trough drawdown of 14.0% and a 19.2% run-up.
- Max drawdown
- −14.0%
- Max run-up
- +19.2%
- Duration
- 90 days
- Largest single-day move
- −12.7%
- 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
The soybean meal futures market in the summer of 2023 presented traders with a particularly challenging environment. Between June and September 2023, the market grappled with shifting expectations around China's economic recovery, a factor that rippled through commodity markets and the broader black series of agricultural and industrial goods. Over 62 trading days, market participants had to navigate an atmosphere where macroeconomic sentiment and domestic demand signals were in constant flux, creating both opportunity and peril for those managing positions in this volatile space.
What unfolded was a masterclass in market volatility. Despite a modest closing appreciation of just 1.0 percent (from 404 to 408.1), the journey was anything but calm. The market endured a maximum drawdown of 14.0 percent, punctuated by a 12.7 percent single-session swing that tested every participant's risk management framework. Eleven decision points emerged throughout this period, with four marked as critical moments requiring precise judgment and clear thinking under pressure.
For decision trainers, this replay distills into sharp relief the gap between analysis and execution. The combination of a deceptive end result with violent intermediate swings exposes how outcome bias can distort learning. Navigating this scenario demands strict adherence to pre-defined risk parameters, the discipline to hold positions through volatility without abandoning process, and the psychological resilience to make sound choices when capital is under stress. Reviewing each of the 11 decision points with an AI coach transforms experience into structured insight, building the mental frameworks that separate disciplined traders from reactive ones.