Heating Oil Historical Replay: 2020-03 to 2020-06
Replay 62 turbulent trading days from the 2020 pandemic crash, including a 44.5% max drawdown that battered heating oil markets. You walk through each session, tackle 11 decision points, and receive an AI coach review of your simulated choices.
62 daily bars · 11 decision points · 2020-03 to 2020-06 · Commodities
Key facts
This window spans 87 days with a peak-to-trough drawdown of 44.5% and a 98.4% run-up.
- Max drawdown
- −44.5%
- Max run-up
- +98.4%
- Duration
- 87 days
- Largest single-day move
- −18.0%
- Bars
- 62 Daily bars
- Decision points
- 11
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
The early weeks of the COVID-19 pandemic created unprecedented chaos in energy markets, and heating oil was no exception. This replay spans 62 daily trading sessions from March 24 to June 19, 2020, immersing participants in the heart of the pandemic crash. The 2020s decade context provides the backdrop for navigating one of the most volatile periods in modern energy market history, where traditional assumptions about supply, demand, and pricing mechanisms were fundamentally challenged.
The market's trajectory during this period was marked by extreme volatility. From an opening price of 1.08, heating oil ultimately closed at 1.21, representing a modest 12.0% recovery. However, this figure masks the brutal journey: a maximum drawdown of 44.5% tested every trader's risk tolerance, while an 18.0% single-bar move highlighted the violent intraday swings that characterized this era. Eleven decision points, four of them critical, demanded participants navigate uncertainty with precision and discipline.
This scenario serves as a powerful training ground for developing robust decision-making under extreme pressure. Participants learn to manage risk when drawdowns approach half the portfolio's value, recognize when emotional responses threaten rational judgment, and execute strategies that balance survival with opportunity recognition. The pandemic's unpredictable nature demands adaptability, making this replay essential for anyone seeking to understand market dynamics during historical crises.
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