Rough Rice Historical Replay: 2022-07 to 2023-01
Replay 126 daily bars of rough rice from July 2022 to January 2023, navigating a 10.2% max drawdown and 4.0% single-bar swings. You make choices at 22 decision points and receive an AI coach review of your simulated historical performance.
126 daily bars · 22 decision points · 2022-07 to 2023-01 · Commodities
Key facts
This window spans 182 days with a peak-to-trough drawdown of 10.2% and a 13.2% run-up.
- Max drawdown
- −10.2%
- Max run-up
- +13.2%
- Duration
- 182 days
- Largest single-day move
- +4.0%
- Bars
- 126 Daily bars
- Decision points
- 22
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
Rough rice, a staple grain commodity in US markets, set the stage for a demanding replay spanning from mid-July 2022 to mid-January 2023. This 126-trading-day window captured a period when currency dynamics and agricultural supply concerns created an intricate trading environment. Participants entering this scenario faced the challenge of capturing directional moves while managing exposure to a 10.2% maximum drawdown and navigating single-day price swings of up to 4.0%.
Over the course of the replay, rough rice prices advanced from 17.16 to 17.93, delivering a net return of 4.5%. Yet this aggregate figure obscures the turbulence encountered along the way. The journey featured repeated volatility spikes, extended periods of adverse movement, and numerous reversal opportunities. The 22 decision points embedded throughout—including 8 critical junctures where positioning decisions carried heightened consequence—determined whether traders could preserve capital during drawdowns and compound gains during favorable stretches.
This replay reinforces essential lessons for market participants: disciplined position sizing serves as the foundation for surviving extended drawdowns, emotional regulation prevents reactive decisions during sharp intraday swings, and systematic planning ensures execution remains consistent when volatility tests resolve. The stark contrast between the modest final return and the significant price turbulence required to achieve it illustrates why historical scenario training develops the psychological resilience and procedural rigor essential for consistent decision-making under uncertainty.