Chainlink Surges in January: +24.53% Avg Return, 78% Win-Rate | AlphaTRADER
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#Seasonality AI Analysis
Sep 17, 2026

Chainlink Surges in January: +24.53% Avg Return, 78% Win-Rate

Monthly Bias Map

Chainlink (LINK-USD) exhibits notable seasonal patterns, particularly in January, where it has recorded an average return of +24.53% and a win-rate of 78% over the last nine years. This strong performance contrasts with the current month of September, which has historically shown a modest average return of +0.65% with a 50% win-rate. Understanding these monthly biases can provide probabilistic priors for traders, although they should not be mistaken for certainties.

Best and Worst Months

January stands out as Chainlink's best-performing month, averaging a +24.53% return and achieving a win-rate of 78%. This could be attributed to new year rebalancing flows and renewed investor enthusiasm as market participants set fresh allocations. In contrast, March has been less favorable, with an average return of -6.39% and a win-rate of just 44%. The underperformance in March might relate to profit-taking following the strong January and February periods or broader macroeconomic factors impacting the cryptocurrency market.

June, although not as strong as January, shows a substantial average return of +15.88% but with a low win-rate of 25%, suggesting high volatility. July and October also demonstrate strong seasonality with average returns of +17.40% and +20.71% respectively, each achieving a 75% win-rate over the observed periods.

Day-of-Week Tilts

Examining Chainlink's performance by day of the week reveals some interesting patterns. Fridays have shown a positive average return of +0.322% with a win-rate of 53%, suggesting a slight bullish bias as traders position ahead of the weekend. Wednesdays also present a positive tilt, with an average return of +0.546% and a win-rate of 49%. Meanwhile, Tuesdays tend to underperform slightly, with an average return of -0.414% and a win-rate of 43%.

Where Seasonality Breaks

While these patterns provide historical context, several factors can disrupt seasonality. Macro shocks, such as regulatory changes or geopolitical tensions, can override historical trends. Additionally, shifts in the volatility regime or major technological developments within the blockchain space can alter typical price action. Traders should remain vigilant for signs of regime change that could impact these established patterns.

Where This Fits

Seasonality is just one of many tools traders can use to inform their strategies. For a comprehensive view of Chainlink's current market context, including recent price action and other technical indicators, visit our live dashboard. Here, you can integrate seasonal insights with broader market analysis to enhance your trading decisions.

Generated by Neural Engine v4.5