Soybean Historical Replay: 2004-11 to 2005-05
Replay the 2004-11 to 2005-05 soybean market across 122 daily bars where prices climbed 12.1% from 553 to 619.75. You make 21 decision points, including 7 critical ones, and receive AI coach review, simulated for education only.
122 daily bars · 21 decision points · 2004-11 to 2005-05 · Commodities
Key facts
This window spans 176 days with a peak-to-trough drawdown of 11.0% and a 36.3% run-up.
- Max drawdown
- −11.0%
- Max run-up
- +36.3%
- Duration
- 176 days
- Largest single-day move
- −5.3%
- Bars
- 122 Daily bars
- Decision points
- 21
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.
Related scenarios
- Corn Historical Replay: 2004-11 to 2005-052004 · Lv.1
- Oats Historical Replay: 2004-11 to 2005-052004 · Lv.3
- Rough Rice Historical Replay: 2004-11 to 2005-052004 · Lv.3
- Soybean Meal Historical Replay: 2004-11 to 2005-052004 · Lv.4
- Wheat Historical Replay: 2004-11 to 2005-052004 · Lv.2
- Live Cattle Historical Replay: 2004-11 to 2005-052004 · Lv.2
Event Replay
What happened — and what it teaches
In late 2004, the soybean market entered a period defined by inflation concerns and shifting agricultural fundamentals. The replay spans from November 17, 2004, to May 12, 2005, capturing 122 daily bars across a market that had already experienced significant volatility. Participants face the challenge of navigating a commodity market during a macroeconomic environment where inflationary pressures were influencing raw material prices broadly. This scenario places traders in the shoes of those managing positions through a complex period where both supply-demand dynamics and macroeconomic forces were in play.
Over the 122 trading days, soybean prices rose 12.1% from 553 to 619.75, representing a meaningful but measured advance. The journey was far from linear, as participants would have experienced a maximum drawdown of 11.0% testing their risk management conviction. A single trading day saw a 5.3% move, underscoring that commodities can deliver sudden directional shocks. The 21 decision points woven through this period included 7 critical junctures where the stakes for position management were elevated.
This scenario distills several lessons for decision training. First, process matters more than prediction: even a 12.1% trend requires disciplined entry and exit frameworks rather than passive holding. Second, risk management must account for the reality that drawdowns of 11.0% will occur, and participants must decide whether their position sizing and stop-loss approaches align with their risk tolerance. Third, psychology becomes decisive during those 7 critical moments, where the discipline to act on a system rather than react to emotion separates measured risk-taking from impulsive behavior. Success in trending markets demands as much psychological resilience as directional accuracy.
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