Cotton Historical Replay: 2018-08 to 2018-11
Replay the 2018-08 to 2018-11 cotton slide across 66 daily bars and watch the price fall from 82.52 to 74.92. Step through each day, make choices at 12 decision points, and receive an AI coach review of your simulated historical decisions.
66 daily bars · 12 decision points · 2018-08 to 2018-11 · Commodities
Key facts
This window spans 93 days with a peak-to-trough drawdown of 10.7% and a 4.8% run-up.
- Max drawdown
- −10.7%
- Max run-up
- +4.8%
- Duration
- 93 days
- Largest single-day move
- −2.9%
- Bars
- 66 Daily bars
- Decision points
- 12
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 cotton market in the summer and fall of 2018 presented traders with a sharp lesson in emerging-market contagion. Across 66 trading days spanning August to November, soft commodity prices moved under the shadow of broader financial stress that rippled through developing economies. For market participants tracking cotton, the period offered a textbook case of how external shocks can translate into sustained price volatility in seemingly unrelated markets.
Between late August and late November, cotton prices fell from 82.52 to 74.92, a decline of -9.2%. The slide was not smooth: the market experienced a maximum drawdown of 10.7% and the largest single-bar move reached 2.9%. Twelve decision points punctuated the period, with four marked as critical junctures where positioning decisions carried heightened consequence. Navigating this environment demanded discipline to differentiate between noise and momentum.
This replay sharpens the ability to manage risk under sustained adverse price action. Participants learn to evaluate whether to add, hold, or reduce exposure when drawdowns extend toward double digits. The scenario also tests emotional resilience: staying objective when positions move against you over weeks, rather than days, reveals much about a trader's psychological fortitude. Finally, the exercise reinforces that historical analysis is a training tool, not a prediction device, encouraging careful process over outcome attachment.