Rough Rice Historical Replay: 2018-02 to 2018-08
Rough rice fell 17.8% from 12.39 to 10.19 across 128 daily bars between February and August 2018, with a 22.7% drawdown. Replay each trading day in this historical scenario, face 22 decision points, and receive an AI coach review of your simulated choices.
128 daily bars · 22 decision points · 2018-02 to 2018-08 · Commodities
Key facts
This window spans 183 days with a peak-to-trough drawdown of 22.7% and a 16.5% run-up.
- Max drawdown
- −22.7%
- Max run-up
- +16.5%
- Duration
- 183 days
- Largest single-day move
- −6.5%
- Bars
- 128 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 key soft commodity traded in US markets, entered a challenging period in early 2018. Between February and August, geopolitical tensions and shifting agricultural policies created an uncertain environment for grain markets. This six-month window presented traders with the task of navigating a sustained downtrend while managing positions through volatile swings.
The price declined from 12.39 to 10.19, a loss of 17.8%, across 128 daily bars. The market experienced a maximum drawdown of 22.7%, with single sessions moving as much as 6.5%. These conditions produced 22 distinct decision points, of which 8 were critical junctures where positioning could significantly alter outcomes.
This replay sharpens risk management discipline by confronting traders with a persistent downtrend and significant intraday volatility. The frequency of critical decision points—nearly one every three weeks—tests both emotional control and systematic thinking. Participants learn to differentiate between short-term noise and structural shifts, refine position sizing under drawdown pressure, and build resilience against the psychological toll of compounding losses.