Live Cattle Historical Replay: 2016-10 to 2017-01
Replay 64 daily bars of a live cattle market from 2016-10 to 2017-01, capturing an 8.2% close gain and a 10.2% drawdown. Step through 11 decision points, including 4 critical, and receive an AI coach review of your choices in a simulated environment.
64 daily bars · 11 decision points · 2016-10 to 2017-01 · Commodities
Key facts
This window spans 96 days with a peak-to-trough drawdown of 10.2% and a 14.8% run-up.
- Max drawdown
- −10.2%
- Max run-up
- +14.8%
- Duration
- 96 days
- Largest single-day move
- +3.9%
- Bars
- 64 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.
Related scenarios
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- Oats Historical Replay: 2016-11 to 2017-052016 · Lv.2
- Rough Rice Historical Replay: 2016-11 to 2017-052016 · Lv.2
- Soybean Historical Replay: 2016-11 to 2017-052016 · Lv.1
- Soybean Meal Historical Replay: 2016-11 to 2017-052016 · Lv.1
Event Replay
What happened — and what it teaches
This replay immerses you in the live cattle futures market from October 2016 to January 2017, covering 64 daily bars across a period when commodity markets experienced notable swings. Eleven decision points await, four of them critical junctures where directional conviction and risk calibration are put to the test. The stage is set for participants to navigate authentic market conditions in a simulated environment without real capital at stake.
The market advanced from a close of 405 to 438.25, delivering an 8.2% return over the data span. Yet the journey was anything but linear. A maximum drawdown of 10.2% tested participants who remained engaged through adverse moves, while the largest single-bar move of 3.9% underscored the kind of short-term volatility that can unsettle even disciplined traders. The gap between peak return and trough loss frames the central tension of this scenario.
The scenario teaches that outcome metrics alone obscure the decision-making process that produces them. An 8.2% gain paired with a 10.2% drawdown reveals why managing risk during drawdowns matters as much as capturing upside. Process discipline, position sizing, and psychological resilience under uncertainty form the core competencies this replay cultivates.