Orange Juice Historical Replay: 2010-05 to 2010-08
Replay 64 trading days of orange juice from May to August 2010 as European debt fears roiled soft commodity markets, with prices sliding from 146.7 to 134.8. You make decisions at eleven turning points and receive an AI coach review of your simulated choices.
64 daily bars · 11 decision points · 2010-05 to 2010-08 · Commodities
Key facts
This window spans 91 days with a peak-to-trough drawdown of 11.2% and a 11.0% run-up.
- Max drawdown
- −11.2%
- Max run-up
- +11.0%
- Duration
- 91 days
- Largest single-day move
- −5.2%
- Bars
- 64 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 the spring of 2010, European sovereign debt fears cast a long shadow across global markets. Soft commodities, typically seen as defensive positions, found themselves caught in the crossfire of uncertainty. Orange juice futures, normally driven by weather and supply dynamics, now had to navigate the treacherous currents of systemic financial risk. This replay places you at the helm during 64 trading days from May to August, where every decision carried weight beyond the fruit groves.
The numbers tell a story of sustained pressure. Prices slid from 146.7 to 134.8, a decline of -8.1% over the period. The path was far from smooth—traders faced a maximum drawdown of 11.2%, and the largest single session move hit 5.2%. With eleven decision points embedded in this historical sequence, four of them marking critical inflection moments, the market offered multiple opportunities to prove—or question—your convictions.
This replay sharpens decision-making under the fog of crisis. You must calibrate position sizing against a documented 11.2% drawdown scenario, distinguish between noise and signal in 5.2% swings, and decide whether to act at the four critical junctures or wait for clearer skies. The historical context matters: European debt contagion reshaped correlations across asset classes, making even agricultural commodities behave like risk assets. The psychological test is equally demanding—holding positions through grinding losses requires discipline that statistics alone cannot teach. Here, the goal is not predicting the next crisis but building the process and temperament to face one with clarity.