Coffee Historical Replay: 2016-10 to 2017-01
Replay 64 daily bars of the 2016-10 to 2017-01 coffee market, where prices swung through a 23.4% drawdown and a 4.9% single-day spike. Step through each trading day, tackle 4 critical decision points, and receive an AI coach review of your historical choices in a simulated, educational environment.
64 daily bars · 11 decision points · 2016-10 to 2017-01 · Commodities
Key facts
This window spans 96 days with a peak-to-trough drawdown of 23.4% and a 19.1% run-up.
- Max drawdown
- −23.4%
- Max run-up
- +19.1%
- Duration
- 96 days
- Largest single-day move
- −4.9%
- 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
Coffee prices drifted modestly over the 2016-10 to 2017-01 period, closing the 64-day span essentially flat at 146.4 to 147.7, a mere 0.9% gain. Yet behind that quiet headline number lay a market convulsed by internal turbulence. The scenario captures a volatile chapter in soft commodities, where traders faced a 23.4% maximum drawdown and a staggering 4.9% single-day spike—events that tested conviction and discipline daily. This is the educational stage: a market that went nowhere overall yet punished careless positioning at every turn.
Participants navigated 11 decision points across those 64 bars, with 4 flagged as critical junctures where directional bets carried amplified consequences. The drawdown figure alone—23.4%—illustrates how a seemingly range-bound market can erode capital dramatically if risk management lapses. The 4.9% single-bar move serves as a stark reminder that tail events, not gradual trends, often define performance in commodity markets. The flat close masks this underlying chaos, offering a cautionary illustration of why looking only at start-to-end prices misses the essential texture of real market experience.
This replay sharpens decision training on multiple fronts. Process-wise, participants must practice sizing positions relative to known drawdown potential rather than perceived directional certainty. Risk-wise, the 23.4% figure becomes a personal benchmark—can you define your maximum tolerable loss before the market forces one upon you? Psychologically, enduring a 4.9% intraday swing without abandoning a sound thesis separates disciplined traders from reactive ones. The flat outcome, paradoxically, teaches more than a clean directional move: it reveals how survival and capital preservation in volatile conditions ultimately define long-term viability in simulated and real markets alike.