Skip to main content

Orange Juice Historical Replay: 2010-11 to 2011-05

CommoditiesSoft CommoditiesBRCrash2010-11 to 2011-05Difficulty 4/5FreeView charts

Replay the 2010-11 to 2011-05 orange juice market across 124 daily bars and navigate a 16.2% drawdown with 21 decision points. You step through each historical session, make choices, and receive an AI coach review of your simulated trading discipline.

124K lines
21Decision points
4Difficulty
DailyGranularity

124 daily bars · 21 decision points · 2010-11 to 2011-05 · Commodities

Key facts

This window spans 178 days with a peak-to-trough drawdown of 16.2% and a 26.4% run-up.

Max drawdown
−16.2%
Max run-up
+26.4%
Duration
178 days
Largest single-day move
+4.9%
Bars
124 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

How to play
  1. The market advances day by day. You only see candles up to the current day — as if you were really there.

  2. At key decision points choose Buy / Trim / Exit / Hold. Each decision advances the timeline by one day.

  3. 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

Orange juice futures in late 2010 presented traders with a complex soft commodity environment shaped by weather uncertainties and supply concerns. The period from November 2010 to May 2011 placed participants in a market where 124 daily bars would test their decision-making across 21 distinct moments, including 7 critical junctures demanding careful risk calibration. Navigating this historical replay meant confronting the fundamental challenge of soft commodities: unpredictable external factors that can rapidly shift supply dynamics and price expectations.

Over the course of this replay, orange juice futures moved from 152.65 to 182.85, delivering a net gain of 19.8%. Yet the path was anything but linear. The maximum drawdown reached 16.2%, and individual trading days saw moves as large as 4.9%, creating an environment where discipline and position management determined whether traders could capture the eventual upside or succumb to volatility-induced losses.

This scenario excels as a decision-training exercise because it forces participants to confront the psychological toll of soft commodity trading. The combination of 4.9% single-bar swings and a 16.2% drawdown tests emotional resilience and adherence to process. Success here is not about predicting weather patterns but about maintaining systematic decision-making when the market tests your conviction. Traders learn that surviving volatility is a prerequisite to capturing directional moves, and that psychological discipline often matters more than directional conviction in these unpredictable markets.