Cotton Historical Replay: 2024-10 to 2025-01
Replay cotton's 62-day slide from 72.66 to 68.23, a 6.1% drop that tested traders amid policy-driven volatility. Step through 11 decision points day by day and receive an AI coach review of your simulated choices in this educational historical scenario.
62 daily bars · 11 decision points · 2024-10 to 2025-01 · Commodities
Key facts
This window spans 90 days with a peak-to-trough drawdown of 8.3% and a 10.4% run-up.
- Max drawdown
- −8.3%
- Max run-up
- +10.4%
- Duration
- 90 days
- Largest single-day move
- +3.6%
- Bars
- 62 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
Cotton entered the final quarter of 2024 as a soft commodity facing crosscurrents of policy uncertainty and dollar dynamics. The 62-day window from October 10, 2024 to January 8, 2025 captured a period when macroeconomic signals—particularly around U.S. trade and monetary policy—could shift sentiment rapidly. For traders engaging with this historical replay, the challenge was navigating a market where policy headlines could trigger sharp intraday moves in either direction.
What unfolded was a sustained decline: prices fell from 72.66 to 68.23, a -6.1% slide that tested conviction and risk management alike. The journey was not linear—the largest single-bar move hit 3.6%—and the maximum drawdown reached 8.3%, meaning peak-to-trough losses exceeded the net decline. Across 11 decision points, with 4 deemed critical, traders faced repeated tests of position sizing, stop discipline, and the ability to distinguish signal from noise during volatile policy-driven sessions.
The replay's greatest educational value lies in its emphasis on process over prediction. Participants had to manage drawdown risk in real time, size positions to survive periods of sustained pressure, and maintain psychological equilibrium when the largest daily swings tested emotional resolve. This scenario reminds traders that in policy-driven markets, the question is not whether volatility will arrive, but whether one's decision-making framework is built to absorb it. The goal is not to call every move, but to respond consistently when the unexpected arrives.
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