Live Cattle Historical Replay: 2012-07 to 2013-01
Replay 118 daily bars of live cattle from July 2012 to January 2013, when prices fell 8.9% from 904 to 823.5. Step through each authentic trading day, face 21 decision points, and receive an AI coach review in a simulated educational environment.
118 daily bars · 21 decision points · 2012-07 to 2013-01 · Commodities
Key facts
This window spans 173 days with a peak-to-trough drawdown of 15.0% and a 10.0% run-up.
- Max drawdown
- −15.0%
- Max run-up
- +10.0%
- Duration
- 173 days
- Largest single-day move
- +5.6%
- Bars
- 118 Daily bars
- Decision points
- 21
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
Live cattle futures represent a cornerstone of global protein markets, where weather patterns, herd dynamics, and macroeconomic policy shifts intersect. This replay spans 118 trading days from late July 2012 through mid-January 2013, capturing a period when European monetary policy pivoted under Mario Draghi's famous "whatever it takes" framework. Participants enter this scenario facing the challenge of navigating a commodity market sensitive to both domestic feed costs and international monetary conditions, with 21 distinct decision points punctuating the historical record.
The market recorded a decline of 8.9% from an opening level of 904 to a closing level of 823.5, though the journey proved more volatile than the net figure suggests. Participants encountered a maximum drawdown of 15.0% during the replay window, while the most violent single session delivered a 5.6% move—sufficient to test even disciplined risk management frameworks. Seven of the 21 decision points have been flagged as critical moments where positioning and risk calibration would have determined outcome variance.
This scenario excels as a decision-training vehicle because it forces traders to confront the gap between anticipated volatility and realized volatility. The 15.0% drawdown arrived despite a net move of only -8.9%, illustrating how whipsaw risk in commodities can erode capital before directional conviction is rewarded. The largest single-bar swing of 5.6% reminds participants that position sizing must account for tail events, not merely average moves. Psychologically, holding through a 15.0% drawdown while the net outcome was only -8.9% demands discipline—the lesson being that process adherence often requires enduring temporary pain that rational analysis would suggest exiting. This replay is designed for educational exploration of those very tensions.
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