WTI Crude Oil Historical Replay: 2014-05 to 2014-08
Replay 64 daily bars of WTI crude from 2014-05-07 to 2014-08-06, capturing a 9.6% peak drawdown just before oil's historic slide. Step through 11 decision points, receive an AI coach review, and learn in a simulated environment.
64 daily bars · 11 decision points · 2014-05 to 2014-08 · Commodities
Key facts
This window spans 91 days with a peak-to-trough drawdown of 9.6% and a 7.3% run-up.
- Max drawdown
- −9.6%
- Max run-up
- +7.3%
- Duration
- 91 days
- Largest single-day move
- −2.1%
- 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.
Related scenarios
- Heating Oil Historical Replay: 2013-11 to 2014-052013 · Lv.1
- Natural Gas Historical Replay: 2013-11 to 2014-052013 · Lv.5
- RBOB Gasoline Historical Replay: 2013-11 to 2014-052013 · Lv.2
- WTI Crude Oil Historical Replay: 2013-11 to 2014-052013 · Lv.2
- Brent Crude Oil Historical Replay: 2013-11 to 2014-052013 · Lv.1
- Brent Crude Oil Historical Replay: 2014-06 to 2014-092014 · Lv.3
Event Replay
What happened — and what it teaches
The replay transports traders back to the spring and summer of 2014, when WTI crude oil occupied center stage in global commodity markets. Over 64 daily bars spanning May 7 to August 6, participants navigate a period of mounting uncertainty as oil prices teetered near multi-year highs before the beginning of what would become a historic collapse. The scenario captures 11 decision points, four of them critical junctures where directional conviction and risk management converge. Players experience firsthand the pressures facing energy traders as macroeconomic signals, supply dynamics, and geopolitical currents pulled in conflicting directions.
The data reveals a market in gradual distress: prices declined 3.8% from 100.77 to 96.92, while participants weathered a peak drawdown of 9.6%. The largest single daily move of 2.1% underscores the volatility that characterized this transition period. What appears modest in percentage terms translated into significant psychological turbulence for active traders, as the 9.6% drawdown signaled that the era of $100-plus oil faced structural headwinds that would later accelerate into a sustained downtrend.
The scenario excels as a decision-training exercise precisely because the outcomes were not obvious in real time. Navigating 11 decision points, including four critical moments, requires participants to articulate their thesis, manage position sizing against a 9.6% potential drawdown, and maintain discipline when 2.1% daily swings test emotional resolve. The AI coach feedback loop reinforces process over prediction, making this replay valuable for developing probabilistic thinking and disciplined risk protocols in volatile commodity environments.
Featured in the archive