Heating Oil Historical Replay: 2023-02 to 2023-05
Replay 64 daily bars of heating oil from Feb to May 2023 as the commodity slid 16.9%. Step through each session, face 11 decision points including 4 critical ones, and receive an AI coach review on your simulated choices.
64 daily bars · 11 decision points · 2023-02 to 2023-05 · Commodities
Key facts
This window spans 91 days with a peak-to-trough drawdown of 24.1% and a 7.4% run-up.
- Max drawdown
- −24.1%
- Max run-up
- +7.4%
- Duration
- 91 days
- Largest single-day move
- +4.7%
- Bars
- 64 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
Heating oil, a critical energy commodity traded on US markets, became a focal point for traders during early 2023. The period from February to May 2023 represented a significant test of risk management and decision-making under pressure. This historical replay captures 64 daily trading sessions that encompass evolving energy market dynamics and the uncertainty that defined the sector at the time.
The price trajectory from 2.78 to 2.31 represents a decline of 16.9% over the 64-bar span. The market experienced a maximum drawdown of 24.1%, with the largest single-bar move reaching 4.7%. These figures underscore the volatility that characterized this energy sector during the period, creating both challenges and opportunities for those navigating the market.
This replay presents 11 decision points, including 4 critical junctures, offering a comprehensive training ground for developing robust trading strategies. Participants must balance emotional discipline with analytical rigor, managing risk while adapting to shifting market conditions. The scenario serves as a powerful reminder that volatile markets demand structured processes and psychological resilience rather than reactive decision-making.
Featured in the archive