Oats Historical Replay: 2015-06 to 2015-12
Replay the oats market from June to December 2015 across 116 daily bars, capturing a 17.8% max drawdown and an 8.1% single-day swing. You step through each trading day, face 20 decision points, and receive an AI coach review of your choices in simulated capital.
116 daily bars · 20 decision points · 2015-06 to 2015-12 · Commodities
Key facts
This window spans 164 days with a peak-to-trough drawdown of 17.8% and a 26.2% run-up.
- Max drawdown
- −17.8%
- Max run-up
- +26.2%
- Duration
- 164 days
- Largest single-day move
- +8.1%
- Bars
- 116 Daily bars
- Decision points
- 20
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
In the summer of 2015, the oats market entered a period of heightened uncertainty as global commodity traders grappled with shifting monetary policy and slowing Chinese demand. The replay spans 116 daily bars from late June through early December, presenting traders with 20 decision points—seven of which proved critical to performance. This was not a simple trending market; it was a policy-driven environment where currency fluctuations and macroeconomic concerns demanded disciplined analysis over impulsive action.
The price trajectory showed a net gain of 6.3%, closing at 261.5 from an opening of 246, yet this headline number obscures the turbulence beneath. The market experienced a maximum drawdown of 17.8%, meaning traders who entered without robust risk controls would have seen their simulated positions erode substantially before any recovery. The largest single-day move reached 8.1%, a swing severe enough to test even experienced participants. The question was not merely whether one could identify direction, but whether one could survive the interim volatility with capital intact.
This replay sharpens decision training by confronting participants with the gap between analysis and execution. A 17.8% drawdown is psychologically demanding; an 8.1% single-day spike can trigger panic or greed. The seven critical decision points force traders to choose between holding, adjusting, or exiting under uncertainty—without the benefit of hindsight. The lesson is clear: in policy-sensitive markets, process discipline and risk management matter more than directional conviction.