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Coking Coal Historical Replay: 2020-07 to 2020-10

CommoditiesFerrousCNBoom2020-07 to 2020-10Difficulty 2/5FreeView charts

Replay 66 daily bars of coking coal from 2020-07-23 through a 7.6% close-to-close climb to 1322. Step through each session, tackle 4 critical decision points, and receive an AI coach review of your simulated trades.

66K lines
12Decision points
2Difficulty
DailyGranularity

66 daily bars · 12 decision points · 2020-07 to 2020-10 · Commodities

Key facts

This window spans 99 days with a peak-to-trough drawdown of 4.2% and a 14.6% run-up.

Max drawdown
−4.2%
Max run-up
+14.6%
Duration
99 days
Largest single-day move
+3.9%
Bars
66 Daily bars
Decision points
12

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

In mid-2020, China's industrial recovery was gaining momentum, and coking coal—a critical input for steelmaking—sat at the intersection of infrastructure stimulus and supply constraints. The period from late July through October placed traders in a market where economic optimism competed with uncertainty, demanding careful position management and disciplined risk assessment across 66 daily sessions.

Over those 66 trading days, coking coal climbed from 1229 to 1322, delivering a 7.6% close-to-close return. The journey was not linear: a 4.2% maximum drawdown tested conviction, while a 3.9% single-bar swing showed that volatility could surface without warning. Twelve decision points punctuated the tape, with four crystallizing into critical junctures where directional conviction and risk calibration mattered most.

This replay sharpens decision training around three dimensions: process fidelity—following a consistent method rather than chasing outcomes; risk calibration—sizing exposure relative to known drawdown tolerance; and psychological resilience—staying objective when markets retrace. Navigating a modest trending move with embedded volatility teaches that calm, systematic execution often outperforms reactive trading, regardless of the percentage gain on the scoreboard.