VXD Gains in January: 67% Win-Rate Over 18 Years | AlphaTRADER
Trading Insights & News

Blog

Market analysis, trading strategies, and industry insights

#Seasonality AI Analysis
Jul 23, 2026

VXD Gains in January: 67% Win-Rate Over 18 Years

Monthly Bias Map — Interpretation of Which Months Matter, Why

Understanding the seasonality of the VXD index can provide traders with valuable insights into potential volatility patterns. Historically, January stands out as a month with a significant positive bias, averaging a return of +8.29% and a win-rate of 67% over 18 years. Conversely, December tends to be a weaker month with an average return of -2.58% and a win-rate of 50% over the same period. These patterns are probabilistic in nature and should be viewed as priors rather than certainties.

Best and Worst Months

January: The strong performance of VXD in January could be linked to the typical increase in market activity following the holiday season. This month often sees recalibration of portfolios and re-risking by institutional investors, which can lead to heightened volatility. Over 18 years, January has delivered an average return of +8.29% with a 67% win-rate.

December: On the flip side, December's average return of -2.58% with a 50% win-rate may be influenced by the so-called 'Santa Claus Rally' in equities, which often results in subdued volatility as markets tend to drift upward. This seasonal pattern can cause a decrease in the VXD index, reflecting reduced market anxiety.

Day-of-Week Tilts

Examining the day-of-week performance reveals that Wednesdays and Thursdays have shown some positive bias, with average returns of +0.609% and +0.457% respectively, both having a win-rate of 41%. Mondays, however, display a negative bias with an average return of -0.533% and a 40% win-rate. These patterns may be attributed to mid-week economic data releases and the typical Monday market recalibration following weekend news.

Where Seasonality Breaks — Failure Modes

While seasonal patterns can provide useful insights, they are not immune to breakdowns. Macroeconomic shocks, such as geopolitical events or unexpected policy changes, can disrupt expected patterns. Additionally, shifts in volatility regimes, like those seen during financial crises, can render historical seasonality less predictive. Traders should be cautious and consider the broader market context.

Where This Fits

Seasonality is just one piece of the puzzle for traders analyzing the VXD index. For a comprehensive view, it's essential to integrate these insights with other technical and fundamental analyses. Visit the live dashboard for real-time updates and further analysis to enhance your trading strategy.

Generated by Neural Engine v4.5