Coke Historical Replay: 2023-04 to 2023-07
Replay a 62-day coking coal slide from April to July 2023 as the market fell 18.3% into a US debt-ceiling storm. You walk each session bar-by-bar, tackle 11 decision points, and receive an AI coach review of every simulated choice.
62 daily bars · 11 decision points · 2023-04 to 2023-07 · Commodities
Key facts
This window spans 94 days with a peak-to-trough drawdown of 25.2% and a 14.6% run-up.
- Max drawdown
- −25.2%
- Max run-up
- +14.6%
- Duration
- 94 days
- Largest single-day move
- −7.5%
- Bars
- 62 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.
Event Replay
What happened — and what it teaches
The replay transports you to the spring and early summer of 2023, when coking coal—a critical input for steelmaking—faced mounting pressure as the US congressional debt-ceiling debate intensified. Over 62 trading days from April 7 to July 10, participants navigated a market caught between slowing Chinese demand signals and the broader uncertainty sweeping across commodity desks as Washington wrestled with its borrowing limits. The scenario puts you inside that tension from the opening bell each day.
What unfolded was a sustained decline: coking coal settled at 2076, down 18.3% from its 2542 opening, with a maximum intraday drawdown of 25.2%. The largest single session move hit 7.5%, testing the resolve of anyone holding positions through the slide. Across the replay, 11 decision points were embedded—4 deemed critical moments where directional conviction or risk adjustments could have meaningfully altered outcomes. The market never offered easy recovery; every bounce was contested.
For decision training, this scenario sharpens several core competencies. First, it forces discipline under a prolonged downtrend where hope and reality diverge. Second, it reveals how large single-bar moves—whether up or down—can shatter stop-loss discipline if position sizing lacks buffer. Third, the debt-ceiling backdrop adds a layer of exogenous uncertainty that traditional technical analysis cannot fully price, teaching humility about model assumptions. Working through all 11 points with AI coach review transforms passive observation into active pattern recognition for future crises.