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Live Cattle Historical Replay: 2013-11 to 2014-05

CommoditiesGrainsUSBoom2013-11 to 2014-05Difficulty 3/5FreeView charts

Live cattle futures climbed 18.0% over 122 trading days from November 2013 to May 2014, with a 14.7% drawdown along the way. Replay this historical market day-by-day, face 7 critical decision points, and receive AI coach feedback in a simulated educational environment.

122K lines
21Decision points
3Difficulty
DailyGranularity

122 daily bars · 21 decision points · 2013-11 to 2014-05 · Commodities

Key facts

This window spans 179 days with a peak-to-trough drawdown of 14.7% and a 38.5% run-up.

Max drawdown
−14.7%
Max run-up
+38.5%
Duration
179 days
Largest single-day move
−3.9%
Bars
122 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

How to play
  1. The market advances day by day. You only see candles up to the current day — as if you were really there.

  2. At key decision points choose Buy / Trim / Exit / Hold. Each decision advances the timeline by one day.

  3. 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 represented a significant segment of the US agricultural commodities market during the final months of 2013 and into spring 2014. This period presented traders with a classic boom scenario in the grains and livestock complex, where fundamental supply-demand dynamics were pushing prices higher. The challenge for market participants was navigating an environment where the overall trend was upward but punctuated by sharp reversals and prolonged corrections. With 21 decision points embedded within this 122-trading-day window, the scenario demanded both directional conviction and tactical flexibility.

The price trajectory from 698.25 to 824.25 translated to an 18.0% gain, yet this outcome masked considerable turbulence along the way. A maximum drawdown of 14.7% meant that traders holding positions faced paper losses equivalent to nearly all their gains at various points during the rally. The largest single-day swing of 3.9% added to the psychological pressure, forcing participants to distinguish between noise and genuine trend changes. Seven of the twenty-one decision points were flagged as critical, moments where positions required reassessment and risk parameters demanded recalibration.

This historical episode illustrates why process discipline matters more than outcome prediction in commodity trading. The 14.7% interim loss would have tested the conviction of even technically correct directional bets, emphasizing that surviving drawdowns is essential for capturing eventual moves. The boom classification belies the stress embedded within apparently straightforward trends, highlighting the psychological dimension of position management during volatile agricultural markets. For trainees, the scenario demonstrates that distinguishing between temporary price fluctuations and meaningful trend shifts requires both systematic rules and emotional resilience.