WTI Crude Oil Historical Replay: 2016-09 to 2017-03
Replay 110 daily bars of WTI crude oil from 2016-09-29 to 2017-03-10, navigating a 16.0% drawdown and a 9.3% single-bar swing across 19 decision points. Step into each session, weigh each policy shock, and receive an AI coach review of your simulated choices.
110 daily bars · 19 decision points · 2016-09 to 2017-03 · Commodities
Key facts
This window spans 162 days with a peak-to-trough drawdown of 16.0% and a 25.7% run-up.
- Max drawdown
- −16.0%
- Max run-up
- +25.7%
- Duration
- 162 days
- Largest single-day move
- +9.3%
- Bars
- 110 Daily bars
- Decision points
- 19
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
Between late September 2016 and March 2017, WTI crude oil traders navigated an environment shaped by policy uncertainty and shifting market fundamentals. Over 110 daily bars, participants faced a landscape where decisions by major producers, expectations around monetary policy, and geopolitical developments could trigger sudden reversals. The period demanded continuous reassessment as the market digested information flow and adjusted positioning.
The closing result was deceptively modest: WTI moved from 47.83 to 48.49, a mere 1.4% gain over the full span. Yet this flat outcome masked violent intermediate swings, with a maximum drawdown of 16.0% and a largest single-bar move of 9.3%. Across 19 decision points, including 7 deemed critical, traders confronted moments where conviction and risk discipline were tested simultaneously.
This replay teaches that survival during policy-driven volatility requires process over prediction. The disconnect between minimal net change and extreme intraperiod swings highlights how outcome-focused thinking can mislead. Trainees learn to manage exposure sizing, maintain discipline through drawdowns, and recognize that policy events create clustered uncertainty where position management matters more than directional bets.