Brent Crude Oil Historical Replay: 2017-11 to 2018-05
Brent crude oil surged 24.6% across 122 daily bars from November 2017 to May 2018. Replay each session, navigate 21 decision points including 7 critical ones, and receive an AI coach review of your simulated trades in this educational energy market scenario.
122 daily bars · 21 decision points · 2017-11 to 2018-05 · Commodities
Key facts
This window spans 177 days with a peak-to-trough drawdown of 11.3% and a 26.5% run-up.
- Max drawdown
- −11.3%
- Max run-up
- +26.5%
- Duration
- 177 days
- Largest single-day move
- −3.7%
- Bars
- 122 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
In late 2017, the energy market faced a pivotal shift as dollar weakness coincided with strengthening commodity prices. Brent crude oil, the global benchmark, traded around $61.87 as traders navigated the intersection of currency dynamics and inflation concerns. The 2010s era presented unique challenges: central bank policies, geopolitical factors, and evolving supply-demand balances all influenced energy markets, making this period a compelling training ground for traders seeking to understand commodity cycles.
From November 2017 to May 2018, spanning 122 daily bars, Brent crude surged to $77.12, delivering a 24.6% return. The journey was far from linear: a maximum drawdown of 11.3% tested conviction, while the largest single-bar move of 3.7% underscored intraday volatility risks. Participants faced 21 decision points across this replay, with 7 designated as critical moments where directional conviction and risk management were essential.
This scenario excels as a decision-training exercise because it demands both process discipline and psychological resilience. The drawdown periods challenge traders to distinguish between temporary pullbacks and structural trend changes. Risk calibration becomes tangible when measuring position sizing against the 11.3% peak-to-trough decline. The psychological dimension emerges in holding conviction through volatility while respecting market signals. For educational purposes, this replay illustrates that successful energy trading requires balancing analytical frameworks with emotional control, neither abandoning positions prematurely nor ignoring emerging risks.