Cocoa Historical Replay: 2022-11 to 2023-05
Replay 124 daily bars of Indian commodities regulation from 2022-11 to 2023-05, where the close climbed from 2500 to 3160. Step through each trading day, navigate 21 decision points, and receive an AI coach review in a fully simulated, educational environment.
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 7.6% and a 36.9% run-up.
- Max drawdown
- −7.6%
- Max run-up
- +36.9%
- Duration
- 181 days
- Largest single-day move
- −3.7%
- 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
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 scene transports traders back to Indian soft commodity markets between November 2022 and May 2023, a period shaped by significant regulatory intervention. This 124-day replay captures daily market dynamics where price discovery was heavily influenced by government policy decisions affecting cocoa and related soft commodities. Participants faced the challenge of navigating an environment where regulation could shift market fundamentals overnight, requiring constant vigilance and adaptive positioning.
Over the 124 daily bars, prices climbed from 2500 to 3160, representing a 26.4% gain. The journey was far from smooth, with the market experiencing a maximum drawdown of 7.6% at various points. The largest single-bar move of 3.7% served as a stark reminder of volatility inherent in regulated markets. Participants encountered 21 decision points, of which 7 were deemed critical, demanding careful assessment of regulatory signals and market positioning at key inflection moments.
This replay teaches traders to distinguish between noise and signal when interpreting policy cues. The combination of steady upward drift punctuated by sharp reversals tests both risk management discipline and emotional composure. Navigating regulatory environments requires humility: even well-informed positions can face unexpected policy pivots. The experience reinforces that process matters more than outcome in simulation, and that surviving drawdowns while maintaining conviction separates disciplined traders from reactive ones.