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Cotton Historical Replay: 2022-11 to 2023-05

CommoditiesSoft CommoditiesINRegulation2022-11 to 2023-05Difficulty 2/5FreeView charts

Replay 124 daily bars of cotton from November 2022 to May 2023, when the benchmark close fell 7.2% through a 13.8% drawdown. Step through 21 decision points, including 7 critical ones, and receive an AI coach review of your simulated choices.

124K lines
21Decision points
2Difficulty
DailyGranularity

124 daily bars · 21 decision points · 2022-11 to 2023-05 · Commodities

Key facts

This window spans 181 days with a peak-to-trough drawdown of 13.8% and a 11.2% run-up.

Max drawdown
−13.8%
Max run-up
+11.2%
Duration
181 days
Largest single-day move
+5.5%
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

The replay immerses you in the Indian soft commodities market during the 2020s, specifically cotton from November 2022 to May 2023. Over 124 daily bars, market participants navigated a period marked by regulatory dynamics and inherent market volatility. The benchmark index shifted from 88.74, placing traders in a landscape where policy signals and supply-demand dynamics intersected, demanding constant recalibration of positions.

The close ultimately settled at 82.37, representing a -7.2% decline through a maximum drawdown of 13.8%. The largest single-bar move of 5.5% tested the resolve of participants across 21 decision points, of which 7 were deemed critical. This combination of sustained pressure punctuated by sharp intraday swings created an environment where both directional conviction and risk discipline were continuously evaluated.

This scenario sharpens decision-training by placing process integrity, risk calibration, and emotional regulation at the forefront. Participants must resist recency bias when drawdowns extend, maintain position sizing discipline through the largest single-bar moves, and distinguish between structural shifts and noise at critical junctures. The 7 critical decision points become focal exercises in pre-commitment and situational awareness rather than outcome-driven retrospection.