Crude Oil's February Rally: +3.69% Avg, 75% Win-Rate | AlphaTRADER
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#Seasonality AI Analysis
Sep 06, 2026

Crude Oil's February Rally: +3.69% Avg, 75% Win-Rate

Monthly Bias Map

Crude Oil's seasonality reveals distinct patterns that traders can use as probabilistic priors. While September typically sees a -0.90% average return with only a 40% win-rate, February emerges as a standout month. Over the past 20 years, February has averaged a +3.69% return with a 75% win-rate, indicating a strong historical bias towards gains. These patterns suggest that while current conditions are challenging, there are periods historically favorable for bullish strategies.

Best and Worst Months

February: A Strong Bullish Edge

February's impressive average return of +3.69% and high win-rate of 75% make it a standout month for Crude Oil. This pattern may be attributed to several factors, including rebalancing flows as institutional investors adjust their portfolios after year-end, and the anticipation of increased demand as winter progresses. Additionally, geopolitical tensions often escalate during this period, impacting supply dynamics.

November: A Bearish Challenge

Conversely, November presents a significant bearish challenge, with an average return of -3.12% and a 45% win-rate. This pattern could be linked to the winding down of the year, where inventory adjustments and reduced industrial activity contribute to downward pressure on prices. Traders should be cautious during this period, as historical trends suggest a higher probability of declines.

Day-of-Week Tilts

Examining day-of-week patterns can provide additional insights. Thursdays show a slight upward bias, with an average return of +0.213% and a 56% win-rate. This may reflect mid-week adjustments by traders reacting to mid-week inventory reports. Conversely, Tuesdays have historically been weaker, with an average return of -0.253% and a 45% win-rate, possibly due to early-week corrections after weekend news.

Where Seasonality Breaks

While seasonality offers valuable insights, it's crucial to remember these patterns are probabilistic, not deterministic. External shocks, such as macroeconomic changes or geopolitical events, can disrupt these patterns. For example, a sudden change in OPEC's production policy or an unexpected economic downturn can significantly alter expected outcomes.

Where This Fits

Understanding Crude Oil's seasonality is one tool among many for traders. It's essential to integrate this analysis with other factors such as technical indicators, macroeconomic data, and geopolitical developments. For further insights and real-time data, explore our live dashboard, which offers a comprehensive view of Crude Oil's market dynamics.

Generated by Neural Engine v4.5