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Copper Historical Replay: 2022-07 to 2023-01

CommoditiesBase MetalsUSBoom2022-07 to 2023-01Difficulty 4/5FreeView charts

Replay copper's 28.3% climb across 126 daily bars ending January 2023, navigating 22 decision points through real base-metals volatility. Walk each trading day, face critical forks, and receive an AI coach review in a simulated, educational environment.

126K lines
22Decision points
4Difficulty
DailyGranularity

126 daily bars · 22 decision points · 2022-07 to 2023-01 · Commodities

Key facts

This window spans 182 days with a peak-to-trough drawdown of 10.8% and a 28.3% run-up.

Max drawdown
−10.8%
Max run-up
+28.3%
Duration
182 days
Largest single-day move
+7.2%
Bars
126 Daily bars
Decision points
22

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 replay transports traders back to the base metals market during the second half of 2022, a period when copper was caught in the crosscurrents of shifting monetary policy, evolving demand signals, and geopolitical pressures. Participants enter a simulation spanning 126 daily bars from July 19, 2022 to January 17, 2023, confronting the full complexity of a commodity in motion. With 22 decision points embedded across the dataset—8 deemed critical—every entry, exit, and hold carries weight in this educational arena.

What unfolded was a substantial copper rebound, with prices climbing from 3.29 to 4.22, representing a 28.3% gain over the full period. Yet the journey was far from linear. The market experienced a maximum drawdown of 10.8%, and individual trading days could swing as much as 7.2%, underscoring the volatility inherent in base metals. Navigating these fluctuations required more than directional conviction—it demanded discipline through turbulence.

This scenario distills essential lessons in process over prediction. Traders must grapple with position sizing relative to known maximum drawdowns, while remaining psychologically prepared for single-bar moves that could challenge conviction. The 8 critical decision points serve as pressure tests for risk management frameworks, and the 22 total nodes train participants to act consistently rather than react impulsively. Completing this replay builds the adaptive mindset required to trade volatile commodities with discipline.