Heating Oil Historical Replay: 2016-10 to 2017-01
Replay 64 daily bars of a 2016 heating oil market stretch where prices swung with a 7.5% single-day surge and a 13.1% drawdown. Walk through 11 decision points—4 critical—day by day, submit your choices, and receive an AI coach review in a fully simulated educational environment.
64 daily bars · 11 decision points · 2016-10 to 2017-01 · Commodities
Key facts
This window spans 96 days with a peak-to-trough drawdown of 13.1% and a 22.3% run-up.
- Max drawdown
- −13.1%
- Max run-up
- +22.3%
- Duration
- 96 days
- Largest single-day move
- +7.5%
- 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
The heating oil market at the tail end of 2016 presented traders with a volatile classroom in energy commodities. Over approximately three months spanning October 2016 to January 2017, 64 daily bars captured a stretch where prices moved from 1.6 to 1.61—a modest net change of 0.6%—yet one that unfolded through dramatic internal swings. This period tested participants' ability to navigate a market that could surge 7.5% in a single session while also enduring drawdowns of 13.1%, all within a structured replay environment designed for educational exploration.
What made this replay particularly demanding was not the directional outcome but the journey: the 11 decision points embedded throughout the 64-day period, with 4 designated as critical moments where directional conviction and risk management were put to the test. The largest single-day move of 7.5% could have easily shaken undisciplined participants into premature exits or reckless entries, while the deeper 13.1% drawdown tested endurance and position management. The slight net advance of 0.6% over roughly three months served as a reminder that in volatile commodity markets, the aggregate result can be deceptively calm even as individual sessions create substantial turbulence.
For decision trainees, this replay offers a laboratory for examining process over prediction. The gap between the dramatic 7.5% intraday surge and the minimal 0.6% net gain over three months highlights how volatility alone does not equal direction. Participants learn to separate the psychological intensity of large daily moves from rational position sizing, and to recognize that disciplined adherence to risk parameters matters more than anticipating each market swing. The replay's four critical decision points become checkpoints for self-assessment: Did I maintain my thesis under pressure? Was my exposure appropriate for the drawdown I actually encountered?