VIX Faces July Dip: -6.18% Avg Return, 29% Win-Rate | AlphaTRADER
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#Seasonality AI Analysis
Jul 23, 2026

VIX Faces July Dip: -6.18% Avg Return, 29% Win-Rate

As we find ourselves in July, traders should be aware of the VIX's historical tendency to decline during this month. Over the past 21 years, July has delivered an average return of -6.18% with a win-rate of just 29%. This pattern underscores a seasonal weakness, reminding us of the probabilistic nature of market tendencies.

Monthly Bias Map

The VIX, often referred to as the "fear gauge," exhibits distinct monthly patterns that can provide traders with valuable context. Historically, months like February and October show increased volatility with average returns of +16.43% and +10.11%, respectively. This is likely due to market adjustments and rebalancing flows that occur during these months, often driven by earnings seasons or geopolitical uncertainties. Conversely, months such as May and July, which show average declines of -6.28% and -6.18%, respectively, might reflect more stable market conditions or lower trading volumes.

Best and Worst Months

February stands out as the month with the highest average return of +16.43% and a balanced win-rate of 52%. This could be attributed to the post-earnings season volatility and rebalancing of portfolios as investors adjust their positions for the new year. On the other hand, November presents a significant negative bias with an average return of -9.49% and a win-rate of only 33%, possibly due to the market's anticipation of year-end tax strategies and portfolio rebalancing.

Day-of-Week Tilts

Analyzing the day-of-week tendencies, the VIX shows a notable pattern on Thursdays, with an average return of +1.056% and a win-rate of 50%. This might suggest increased investor activity or market repositioning as the week progresses. In contrast, Mondays tend to be weaker with an average return of -2.580% and a win-rate of 21%, potentially reflecting the market's digestion of weekend news and initial weekly adjustments.

Where Seasonality Breaks

While historical patterns provide insightful probabilistic priors, they are not deterministic. Seasonality can break due to macroeconomic shocks, sudden geopolitical events, or shifts in market regimes. For instance, unexpected monetary policy changes or global crises can lead to deviations from typical seasonal trends.

Where This Fits

Understanding the VIX's seasonal tendencies is crucial for traders looking to contextualize volatility within broader market conditions. However, it should be viewed as one input among many when making trading decisions. For a comprehensive view of the VIX's current and historical performance, visit the live dashboard, where you can integrate these insights with other technical and fundamental analyses.

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