Published: December 3, 2025
Last Updated: April 28, 2026
The Statistics window in the Trade Cycles tab of the Asset Details page provides seasonal insights, including the best- and worst-performing days and months, a seasonality matrix, and monthly, weekly, and day-of-month seasonality.
To access the Statistics window, search for a ticker or click on a ticker from an existing portfolio. You should arrive at the Asset Details or Position Card page, where you can continue to research your asset.
Click on the Trade Cycles tab to review the Annual Pattern, Statistics, and Cycles tabs.
Image as of Apr. 28, 2026.
When viewing the historical statistics for any ticker, you will see the best and worst performing days of the week and the best and worst performing months.
As you scroll down the page, you will see the Yearly Matrix.
Image as of Apr. 28, 2026.
The Yearly Matrix allows you to view seasonal patterns across 15 years of historical data, pinpointing months and years with positive and negative average returns. Green indicates positive returns, where red indicates negative returns.
The % Median Return, % Average Return, and % Accuracy Rate figures are at the top of the Yearly Matrix graph.
Next up is the Monthly Seasonality widget, which displays the monthly returns for January through December along with statistical data for each month, including the accuracy rate, average return, median return, and annualized return.
Image as of Apr. 28, 2026.
Under "Years Under Review," you will see the start date, start price, end date, end price, returns, and the maximum rise and drop for each month.
You can now click any bar within the Monthly or Week-of-Month views to dynamically update the performance statistics and years under review data.
The Week-of-month seasonality provides the same information as the monthly seasonality; however, we are now drilling down to the weekly level.
Image as of Apr. 28, 2026.
As of Apr. 28, 2026, we are in Week 4 of the S&P 500 (SPY) ETF's week-of-month seasonality. It also appears that week 1 and 4 typically yields the highest average returns for the ETF.
As we work our way down the page, you will encounter the Day-of-month and Day-of-week seasonality for the security.
Image as of Apr. 28, 2026.
Here, you will see the days of the month with the highest and lowest historical average returns and the day of the week that typically yields the highest average returns.
According to the screenshot below of the S&P 500 ETF (SPY), the 15th day of the month generally yields the highest average returns, while the last day of the month yields the lowest.
Image as of Apr. 28, 2026.
And Mondays and Fridays seem to be our day-of-week winners in terms of average returns.
Image as of Apr. 28, 2026.
In each widget, you can toggle the median button, and a blue line will represent the median average return. The median is a way of finding the "middle" value in a set of numbers.
Image as of Apr. 28, 2026.
If the security has 15 years or more of historical data, the last 15 years will be displayed by default. The Statistics tab requires at least four years of historical trading data.
You can adjust the years under review from the Settings button on the upper left of the Statistics tab.
The settings also allow you to specify the "Years Under Review," enter a "Custom Date Range," and select the "Months" you want to review.
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*Note—The tabs and features you see on your TradeSmith Finance site will vary based on your subscription(s) and subscription level(s).