Rebar Historical Replay: 2014-08 to 2015-01
Replay 98 daily bars of US rebar from August 2014 to January 2015, watching price slide from 2979 toward 2488. Walk through 17 decision points—including 6 critical ones—under an AI coach in a simulated, educational environment.
98 daily bars · 17 decision points · 2014-08 to 2015-01 · Commodities
Key facts
This window spans 147 days with a peak-to-trough drawdown of 18.2% and a 8.6% run-up.
- Max drawdown
- −18.2%
- Max run-up
- +8.6%
- Duration
- 147 days
- Largest single-day move
- +4.0%
- Bars
- 98 Daily bars
- Decision points
- 17
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 late summer of 2014, the US rebar market entered a challenging phase as global commodity sentiment shifted and domestic demand signals remained uncertain. Market participants faced the delicate task of navigating an environment where falling prices threatened positions while macroeconomic indicators painted an ambiguous picture. The stakes were considerable: capital preservation, risk management, and the discipline to avoid reactive decisions under sustained pressure.
The replay captures 98 daily bars of this declining market, with prices sliding from 2979 to 2488—a 16.5% retreat that tested conventional positioning strategies. The maximum drawdown of 18.2% occurred within this window, and the largest single-bar move of 4.0% underscored the volatility embedded in what appeared to be a gradual trend. Participants confronted 17 decision points, six of which proved critical in determining whether losses would be contained or amplified.
This scenario sharpens decision training by exposing the psychological strain of extended declines. Maintaining systematic processes during drawdowns requires clear rules, consistent position sizing, and emotional discipline to avoid averaging into losses or exiting prematurely. The educational value lies not in predicting the bottom but in building the habits that keep traders functional when markets move against them.
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