Rebar Historical Replay: 2024-10 to 2025-01
Replay 64 daily bars of US ferrous markets from October 2024 to January 2025, a period shaped by policy headlines that drove a 7.7% drawdown. Step through each trading day, face decision points, and receive an AI coach review in a simulated educational environment.
64 daily bars · 11 decision points · 2024-10 to 2025-01 · Commodities
Key facts
This window spans 90 days with a peak-to-trough drawdown of 7.7% and a 6.1% run-up.
- Max drawdown
- −7.7%
- Max run-up
- +6.1%
- Duration
- 90 days
- Largest single-day move
- −4.3%
- 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
In the autumn of 2024, US ferrous markets entered a period of heightened policy-driven volatility. Over 64 trading days from October 9, 2024, to January 7, 2025, traders navigated an environment where political developments—most notably the outcome of the November presidential election—created sustained uncertainty. The rebar market, sensitive to infrastructure policy and trade sentiment, became a focal point for those seeking to understand how headline risk translates into price action.
The numbers tell a story of sustained pressure. From an opening level of 3466, prices ultimately settled at 3239, representing a decline of 6.5%. The journey was anything but linear: traders faced a maximum drawdown of 7.7% from peak to trough, while the largest single trading day saw a move of 4.3%. Across the period, 11 distinct decision points emerged, with 4 deemed critical moments that could have significantly altered outcomes for participants.
For those training in market decision-making, this replay offers valuable lessons in managing positions through policy uncertainty. The key insight lies not in predicting headlines but in building robust processes that account for the psychological toll of extended volatility. Learning to distinguish between noise and signal, maintaining disciplined risk parameters during drawdowns, and avoiding reactive decisions during high-impact moments form the cornerstone of effective navigation through such environments.
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