RBOB Gasoline Historical Replay: 2024-11 to 2025-02
Replay 62 daily bars of RBOB gasoline from 2024-11-22, navigating a 7.3% drawdown after a 2.4% decline. You step through each session, weigh 11 decision points including 4 critical ones, and receive AI coach feedback on simulated trades.
62 daily bars · 11 decision points · 2024-11 to 2025-02 · Commodities
Key facts
This window spans 94 days with a peak-to-trough drawdown of 7.3% and a 13.1% run-up.
- Max drawdown
- −7.3%
- Max run-up
- +13.1%
- Duration
- 94 days
- Largest single-day move
- +3.9%
- Bars
- 62 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.
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Event Replay
What happened — and what it teaches
The replay opens in late November 2024, when a major political shift—Trump's election victory—sent the dollar sharply higher, reshaping the landscape for dollar-denominated commodities. RBOB gasoline futures entered this window as a direct casualty of currency strength, with traders forced to navigate a period where macro policy signals could overwhelm traditional supply-demand calculations. Over the next four months, 62 daily bars would test participants' ability to process political risk in real time. The period ultimately produced a net decline of -2.4% in the front-month contract, closing at 2.01 from an opening of 2.06. What distinguished this stretch was not the directional move but the turbulence surrounding it: a maximum drawdown of 7.3% and a largest single-bar swing of 3.9% revealed how quickly sentiment could reverse when policy headlines arrived. Across the replay, 11 decision points presented themselves, with 4 classified as critical junctions where the difference between proactive and reactive positioning was stark. This scenario is a disciplined training ground for traders who want to build systematic responses to policy-driven volatility in energy markets.
This replay teaches three durable lessons. First, political events create asymmetric risk in commodities: a single dollar surge can dwarf fundamental factors, and the market's initial reaction is rarely its final one. Second, the 7.3% drawdown underscores that managing exposure size before a known catalyst arrives matters more than guessing direction. Third, the 3.9% single-bar volatility spike reminds traders that stop-discipline and pre-defined exit levels are not optional luxuries—they are structural necessities when policy uncertainty is the dominant driver. Practicing these decisions in a simulated environment, with AI coach feedback on 11 distinct points, allows traders to build muscle memory for the emotional discipline that separates measured risk-taking from reactive trading during politically charged market episodes.
The historical record of this four-month window offers no clean narrative of right and wrong, only the authentic texture of navigating uncertainty in real time. What makes this replay educationally powerful is precisely its ambiguity: a modest net loss paired with substantial intermediate turbulence, forcing participants to confront whether their process held when the numbers were uncomfortable. The 4 critical decision points serve as checkpoints where judgment—rather than outcome—determines the value of the exercise. Traders who engage this scenario not to predict the next political shock but to stress-test their own decision architecture will find the most lasting value.
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