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Heating Oil Historical Replay: 2015-11 to 2016-05

CommoditiesEnergyUSCrash2015-11 to 2016-05Difficulty 3/5FreeView charts

Replay 122 trading days of heating oil from November 2015 to May 2016, capturing a brutal 37.9% max drawdown on energy markets. You step through each daily bar, face 21 decision points with AI coach review, and learn from history using simulated capital.

122K lines
21Decision points
3Difficulty
DailyGranularity

122 daily bars · 21 decision points · 2015-11 to 2016-05 · Commodities

Key facts

This window spans 177 days with a peak-to-trough drawdown of 37.9% and a 60.9% run-up.

Max drawdown
−37.9%
Max run-up
+60.9%
Duration
177 days
Largest single-day move
+11.1%
Bars
122 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

Energy markets in late 2015 presented traders with a harsh test. Heating oil, a key refined petroleum product, entered a period of severe distress as global oversupply, warming temperatures, and slowing demand converged to pressure prices sharply lower. This replay spans 122 trading days from November 2015 to May 2016, a stretch when energy commodities faced historic headwinds and participants had to navigate extreme uncertainty with real capital at risk.

The numbers tell a stark story. Despite ending the period with a modest 1.5% gain (1.37 to 1.39), the journey was brutal—a maximum drawdown of 37.9% and a largest single-bar move of 11.1% tested every position and every assumption. Twenty-one decision points, seven of them critical, demanded disciplined responses in an environment where even experienced traders struggled to find footing.

This replay sharpens decision-making under pressure. Traders confront the psychological temptation to average down into a falling market or exit at the worst possible moment. The 37.9% drawdown forces honest reflection on position sizing and risk tolerance, while the 11.1% single-day swings reveal how quickly narrative can shift. By stepping through each daily bar with simulated capital, participants build the emotional resilience and process discipline that separate informed risk-taking from reckless speculation.