Heating Oil Historical Replay: 2022-11 to 2023-05
Replay heating oil's 38.7% drawdown from November 2022 to May 2023, day by day. You face 21 decision points across a turbulent energy market and receive an AI coach review of your simulated trades.
124 daily bars · 21 decision points · 2022-11 to 2023-05 · Commodities
Key facts
This window spans 181 days with a peak-to-trough drawdown of 38.7% and a 27.7% run-up.
- Max drawdown
- −38.7%
- Max run-up
- +27.7%
- Duration
- 181 days
- Largest single-day move
- −8.0%
- Bars
- 124 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
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 traded in the volatile energy complex of the early 2020s, a period marked by supply disruptions, shifting demand patterns, and heightened geopolitical uncertainty. From November 2022 to May 2023, participants in this 124-bar replay faced the challenge of navigating a market that would ultimately decline 34.6%, delivering a maximum drawdown of 38.7% across the period.
The price collapse unfolded with brutal consistency, dropping from 3.64 to 2.38 over the six-month window. The market exhibited severe turbulence, with the largest single-bar move reaching 8.0%, creating treacherous conditions for trend-following strategies. Across the replay, traders encountered 21 decision points, seven of which represented critical junctures where positioning decisions carried heightened consequence for portfolio outcomes.
This scenario tests the fundamentals of disciplined decision-making under adversity. Participants must process incomplete information, manage risk during extended drawdowns, and resist the psychological pull of averaging down or abandoning positions prematurely. The AI coach review provides structured feedback on process adherence versus outcome orientation, making the replay a rigorous laboratory for examining how decision quality holds when the market delivers sustained adverse pressure rather than quick resolution.