Soybean Historical Replay: 2008-08 to 2008-11
Replay the 2008 soybean crash across 68 daily bars, watching close plunge from 1267 to 840 as the global financial crisis crushed grain markets. Step through 12 decision points, including 4 critical ones, and get an AI coach review of your simulated choices.
68 daily bars · 12 decision points · 2008-08 to 2008-11 · Commodities
Key facts
This window spans 94 days with a peak-to-trough drawdown of 43.6% and a 26.3% run-up.
- Max drawdown
- −43.6%
- Max run-up
- +26.3%
- Duration
- 94 days
- Largest single-day move
- +22.5%
- 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
The US grain markets in late 2008 were caught in the crossfire of a global financial system in freefall. After years of commodity supercycle gains, soybeans had built a complex web of speculative positions, agricultural supply constraints, and interconnected derivative exposures. By mid-August 2008, prices stood at 1267, with market participants sensing instability but uncertain of the magnitude of what was coming.
The replay covers 68 daily bars from 2008-08-19 to 2008-11-21, during which soybean prices collapsed to 840, a decline of -33.7%. The market experienced a maximum drawdown of 43.6%, with individual trading sessions seeing devastating moves of 22.5%. These extreme price swings created a series of high-stakes moments where twelve decision points emerged, four of which proved critical to outcomes.
This replay forces participants to confront several fundamental trading challenges: distinguishing between temporary dislocations and structural breakdowns, managing positions as losses compound beyond initial expectations, and maintaining disciplined decision-making when volatility reaches extreme levels. The scenario tests whether traders can adapt their strategies when market conditions shift dramatically, and whether they can avoid emotional reactions that amplify losses rather than mitigate them. In the panic of a crash, the greatest enemy is often not the market itself but the psychological shortcuts our minds take under pressure. Training through historical replays builds the pattern recognition and emotional resilience needed to navigate real market crises.