Brent Crude Oil Historical Replay: 2013-06 to 2013-09
Replay 68 daily bars of Brent Crude from June to September 2013 as the Fed-taper scare pressured commodities. Walk through 12 decision points with an AI coach reviewing your simulated choices for educational insight.
68 daily bars · 12 decision points · 2013-06 to 2013-09 · Commodities
Key facts
This window spans 104 days with a peak-to-trough drawdown of 7.2% and a 15.6% run-up.
- Max drawdown
- −7.2%
- Max run-up
- +15.6%
- Duration
- 104 days
- Largest single-day move
- −3.7%
- Bars
- 68 Daily bars
- Decision points
- 12
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 the summer of 2013, Brent crude oil navigated one of its most treacherous stretches of the decade. As the Federal Reserve signaled the possibility of reducing its massive bond-buying program, commodity markets across the board faced severe headwinds. The period from June 14 to September 26, 2013—a span of 68 trading days—captured this "taper tantrum" in real time, with energy markets absorbing the shock of shifting central bank expectations.
The numbers tell a story of resilience amid volatility. Brent crude closed the period at $109.21 per barrel, up 4.7% from the $104.29 opening level, yet this modest gain masked significant turbulence. The market experienced a maximum drawdown of 7.2% and endured a largest single-bar move of 3.7%, reflecting the intense uncertainty that characterized those summer months. Twelve decision points peppered the replay, four of them deemed critical moments where positioning choices carried amplified consequence.
This replay excels as a decision-training vehicle because it captures the psychological trap that defines so many real market experiences: the gap between what the news screams and what prices actually do. Participants must practice separating signal from noise, maintaining discipline through a 7.2% drawdown without abandoning a thesis that ultimately proves correct. The scenario demands structured risk management alongside the mental flexibility to update views when evidence warrants. For students of markets, the lesson is clear—surviving volatility requires process, not prediction.
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