Iron Ore Historical Replay: 2023-05 to 2023-08
Replay 60 days of iron ore price action from May 25 to August 18, 2023, capturing a 17.5% drawdown and a sharp 13.3% rebound from 681 to 771.5. Walk through 11 decision points in this simulated historical scenario and receive an AI coach review of every choice.
60 daily bars · 11 decision points · 2023-05 to 2023-08 · Commodities
Key facts
This window spans 85 days with a peak-to-trough drawdown of 17.5% and a 27.2% run-up.
- Max drawdown
- −17.5%
- Max run-up
- +27.2%
- Duration
- 85 days
- Largest single-day move
- −12.0%
- Bars
- 60 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 scenario recreates iron ore futures trading during a volatile stretch from May 25 to August 18, 2023. This 60-day window falls within a broader period marked by macroeconomic uncertainty, including debt ceiling debates and shifting dollar dynamics that rippled through commodity markets. Participants face realistic historical price action without knowing the future trajectory.
The replay captures a sharp descent followed by a recovery: iron ore prices fell 17.5% at their worst before rebounding 13.3% from the lows at 681 to close at 771.5. A single trading day saw a 12.0% swing, illustrating the volatility inherent in ferrous markets. Navigating this landscape demands managing 11 decision points, with 4 critical moments where positioning choices carry significant consequence.
This replay hones risk management discipline by confronting participants with real drawdown scenarios in a zero-stakes environment. Traders must practice setting stop-loss parameters and sizing positions without abandoning their thesis prematurely. The psychological dimension proves equally vital: learning to distinguish between a fundamental shift and short-term noise when facing outsized single-bar moves. Such training builds the emotional resilience necessary to execute a systematic plan when market conditions turn hostile.