Rough Rice Historical Replay: 2023-06 to 2023-09
Rough rice slid 10.8% from 18.78 to 16.75 across 62 daily bars in summer 2023, with a 21.9% drawdown and a 13.4% single-bar swing. Replay each day, tackle 11 decision points including 4 critical ones, and get an AI coach review, simulated capital only.
62 daily bars · 11 decision points · 2023-06 to 2023-09 · Commodities
Key facts
This window spans 90 days with a peak-to-trough drawdown of 21.9% and a 11.6% run-up.
- Max drawdown
- −21.9%
- Max run-up
- +11.6%
- Duration
- 90 days
- Largest single-day move
- −13.4%
- 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
Rough rice, a staple agricultural commodity traded on U.S. markets, entered summer 2023 under the shadow of emerging climate concerns tied to El Niño patterns. The June-to-September window represented a critical period for grain markets, where weather uncertainty, supply chain dynamics, and geopolitical factors could trigger significant price volatility. For market participants, this era demanded careful analysis of fundamental drivers and disciplined risk management.
The numbers tell a stark story: across 62 daily bars spanning June 8 to September 6, 2023, rough rice prices declined 10.8% from 18.78 to 16.75, with a maximum drawdown of 21.9%. The market experienced extreme single-day swings reaching 13.4%, highlighting the challenges of navigating volatile commodity markets. Eleven decision points emerged during this period, four of which were classified as critical, testing participants' ability to respond under pressure.
This replay scenario distills valuable lessons in decision-making under uncertainty. Participants face the challenge of maintaining process discipline when volatility spikes and drawdowns mount, managing risk exposure through position sizing and stop-loss protocols, and controlling psychological responses to adverse price movements. The interplay between data-driven analysis and behavioral discipline becomes particularly evident when confronting high-stakes moments without the benefit of hindsight.