Rebar Historical Replay: 2023-06 to 2023-09
Replay 64 daily bars of US rebar from June to September 2023, when close rose 4.3% to 3799 amid a 5.7% drawdown. Step through 11 decision points, four of them critical, and receive an AI coach review in this simulated training environment.
64 daily bars · 11 decision points · 2023-06 to 2023-09 · Commodities
Key facts
This window spans 91 days with a peak-to-trough drawdown of 5.7% and a 6.7% run-up.
- Max drawdown
- −5.7%
- Max run-up
- +6.7%
- Duration
- 91 days
- Largest single-day move
- +2.4%
- 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
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
This replay spans 64 daily bars of US rebar futures from 2023-06-06 to 2023-09-05, capturing a period in the 2020s when commodities markets navigated policy uncertainty and currency crosscurrents. The scenario presents a market where staying aligned with directional trends required disciplined risk management and clear entry-exit logic.
Rebar closed the period at 3799, rising 4.3% from 3641. The journey was far from linear: traders faced a maximum drawdown of 5.7%, and single sessions could swing as much as 2.4%. This modest net gain against meaningful interim losses created an environment where patience and position discipline were tested at every turn.
This scenario sharpens decision-making around drawdown tolerance and process fidelity. With 11 decision points, four of them critical, participants must balance the instinct to act against the need to follow a structured plan. The gap between the 5.7% drawdown and the 4.3% final return illustrates the asymmetry between risk taken and reward captured, making it a valuable case study in risk-adjusted judgment.