Rebar Historical Replay: 2012-07 to 2013-01
Replay the 2012-09 Draghi OMT rebar market across 114 daily bars with a 14.4% drawdown. You step through each session, face 20 decision points, and receive an AI coach review in a simulated, educational environment.
114 daily bars · 20 decision points · 2012-07 to 2013-01 · Commodities
Key facts
This window spans 171 days with a peak-to-trough drawdown of 14.4% and a 24.5% run-up.
- Max drawdown
- −14.4%
- Max run-up
- +24.5%
- Duration
- 171 days
- Largest single-day move
- −4.3%
- Bars
- 114 Daily bars
- Decision points
- 20
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 summer of 2012, the global ferrous market faced mounting uncertainty as European debt concerns weighed on industrial demand. This replay situates you within 114 daily bars spanning from late July 2012 to mid-January 2013, a period bookended by policy speculation and the ECB's landmark OMT announcement in September. Your task: navigate rebar price action across twenty decision points, including seven critical junctures where directional conviction matters most.
The market's journey reveals a modest 6.4% gain from 3762 to 4004, yet this headline figure obscures significant turbulence. A maximum drawdown of 14.4% tested risk management discipline, while single sessions pushed 4.3% in either direction. These numbers underscore that surviving volatility is distinct from capturing directional moves.
For decision training, this scenario excels at revealing how policy events reshape risk perception. Participants must learn to distinguish between information impact and actual price trajectory. The critical junctures demand probabilistic thinking, forcing learners to assess whether market reactions align with underlying economic fundamentals. This approach cultivates psychological resilience and systematic evaluation under uncertainty, skills transferrable beyond any single replay.
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