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Rebar Historical Replay: 2016-11 to 2017-05

CommoditiesFerrousUSBoom2016-11 to 2017-05Difficulty 3/5FreeView charts

Across 120 trading days from November 2016 to May 2017, rebar climbed 8.2% through a turbulent commodities cycle. Replay each daily bar, navigate 21 decision points with seven flagged critical, and receive AI coach feedback in a simulated educational environment.

120K lines
21Decision points
3Difficulty
DailyGranularity

120 daily bars · 21 decision points · 2016-11 to 2017-05 · Commodities

Key facts

This window spans 179 days with a peak-to-trough drawdown of 22.4% and a 34.2% run-up.

Max drawdown
−22.4%
Max run-up
+34.2%
Duration
179 days
Largest single-day move
−8.2%
Bars
120 Daily bars
Decision points
21

Every figure above is computed programmatically from this replay’s own candle series — no editorial input, no LLM. Methodology: Methodology

How to play
  1. The market advances day by day. You only see candles up to the current day — as if you were really there.

  2. At key decision points choose Buy / Trim / Exit / Hold. Each decision advances the timeline by one day.

  3. 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 plunges traders into a volatile stretch of the ferrous commodities market during the 2010s, spanning from November 18, 2016 to May 16, 2017. Across 120 daily bars, rebar prices became a testbed for navigating uncertainty, with seven critical decision points embedded in a broader set of 21 choices. The market backdrop featured global synchronized growth and a weakening US dollar, factors that amplified both opportunity and risk in industrial materials.

Over the full period, rebar closed at 2999, rising from an opening of 2772 for an 8.2% net gain. Beneath that headline figure lay a turbulence-prone journey: the market endured a maximum drawdown of 22.4% and was tested by a largest single-bar move of 8.2%. Those sharp intraday swings and episodic reversals created an environment where disciplined risk management was as consequential as directional conviction.

For decision training, the episode underscores how outcome-focused narratives can obscure process realities. Trainees must practice sizing positions, managing drawdowns, and maintaining composure through volatility clusters. The 7 critical nodes within the 21 decision points serve as training anchors—moments where pre-commitment to rules matters more than reacting to price noise. This historical window is a laboratory for building the psychological resilience that defines long-term market survival.