Orange Juice Historical Replay: 2016-09 to 2017-03
Replay 110 daily bars of orange juice futures from September 2016 to March 2017, capturing a 15.5% decline amid policy-driven volatility. You step through each session, face 19 decision points with 7 marked critical, and receive an AI coach review of your reasoning in a simulated environment.
110 daily bars · 19 decision points · 2016-09 to 2017-03 · Commodities
Key facts
This window spans 162 days with a peak-to-trough drawdown of 30.4% and a 23.6% run-up.
- Max drawdown
- −30.4%
- Max run-up
- +23.6%
- Duration
- 162 days
- Largest single-day move
- −5.8%
- Bars
- 110 Daily bars
- Decision points
- 19
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 replay transports you to orange juice futures at the close of September 2016, as the market enters a six-month period shaped by post-election policy uncertainty. Over 110 daily trading sessions, you navigate the intersection of agricultural fundamentals and currency dynamics that would drive a sustained directional shift. Seven of the nineteen decision points are marked critical, demanding precise entries, exits, and position adjustments amid shifting market sentiment.
The market ultimately fell 15.5% from 203.7 to 172.1, with a maximum drawdown of 30.4%—a figure that would challenge any trader's risk discipline. The largest single session move of 5.8% underscores how quickly policy signals can translate into intraday dislocation. Navigating this decline required not only directional conviction but also strict position management and an awareness of how correlation structures behave during periods of geopolitical transition.
This scenario trains your ability to size positions against realistic drawdown environments and to distinguish between signal and noise when policy headlines dominate. The seven critical decision points illustrate that managing the gap between analysis and execution separates disciplined traders from reactive ones. Replaying this period helps you build a systematic approach to volatility, anchoring decisions in process rather than outcome.