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Coke Historical Replay: 2023-07 to 2023-10

CommoditiesFerrousCNBoom2023-07 to 2023-10Difficulty 3/5FreeView charts

Trade the coking coal recovery from July through October 2023, a 9.1% close-to-close swing with a 12.3% max drawdown. Replay 64 daily bars, tackle 11 decision points, and receive an AI coach review in a simulated educational environment.

64K lines
11Decision points
3Difficulty
DailyGranularity

64 daily bars · 11 decision points · 2023-07 to 2023-10 · Commodities

Key facts

This window spans 95 days with a peak-to-trough drawdown of 12.3% and a 23.0% run-up.

Max drawdown
−12.3%
Max run-up
+23.0%
Duration
95 days
Largest single-day move
−7.2%
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

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

China's steelmaking complex faced a pivotal moment in mid-2023 as coking coal prices reflected shifting expectations around domestic economic recovery. The ferrous commodity market, sensitive to infrastructure signals and policy cues, offered traders a charged environment where consensus optimism could reverse sharply. This 64-bar daily replay captures the tension between recovery hopes and economic reality that defined the period.

The close-to-close outcome was ultimately positive: prices rose from 2257 to 2462.5, delivering a 9.1% gain over the span from late July through late October 2023. Yet the journey was anything but smooth. A max drawdown of 12.3% tested conviction, while the largest single-bar move of 7.2% demanded rapid recalibration. Eleven decision points punctuated the data, four of which the replay marks as critical junctions where directional conviction mattered most.

This scenario sharpens decision training across three dimensions. First, process: navigating 11 choices without knowing which four prove decisive forces disciplined preparation. Second, risk: absorbing a 12.3% equity dip while remaining aligned with the eventual 9.1% trend separates mechanical stops from calculated conviction. Third, psychology: a 7.2% single-session swing confronts participants with the emotional cost of volatility, training composure under pressure in a purely simulated environment where capital is never at genuine risk.