Published: July 30, 2025

Latest Update: July 20, 2026

Trade Cycles identifies recurring price patterns in the market and integrates them with other key indicators to help forecast upcoming market shifts. By leveraging historical price data, Trade Cycles can highlight seasonal trends and high-probability opportunities, helping you make more informed investment decisions.

A Closer Look at Trade Cycles’ Indicators 

To search for any ticker, enter the ticker symbol or company name in the “Search for Ticker” field on the upper right of your program site.

The site directs you to the Asset Details page, where you can view your available TradeSmith indicators and assess the ticker’s chart, statistics, financials, and other technical and fundamental metrics.

Seriously, you can spend a lot of time on the Asset Details page, and TradeSmith makes sure you have all the information you need to make an informed decision before you enter a trade.

To review your Trade Cycles indicators, click the Trade Cycles tab.

The Trade Cycle indicators and features are organized under the Annual Pattern, Statistics, and Cycles tabs on the upper left of the Trade Cycles tab.

Screenshot taken from a Trade Cycles account on Mar. 12, 2026.

Let’s focus on the Annual Pattern tab.

Our seasonal analysis identifies price patterns based on historical price action. You can use this data to find high-probability price gains for specific periods during the year. Knowing this information can help you time your entry into a potential opportunity. 

A graph displays high-probability ranges for positive and negative average returns (if available). Date ranges highlighted green with an up arrow indicate price gains at that time of the year, and those highlighted red (if any) with a down arrow indicate a high probability that the price will drop. 

Screenshot taken from a Trade Cycles account on Jul. 20, 2026.

The dark blue line shows the current price of this stock. You will also see the vertical label for the current date. The lighter teal line shows the seasonal trend. It highlights historical trends to give context to what may happen, but it does not guarantee future price levels. 

This approach helps us see the big picture and spot patterns in how prices move over time. 

The graph highlights the date range with the highest average returns. However, you can click on other highlighted areas or use the Pattern drop-down menu to explore different time frames and trends. 

Above the seasonality graph, you can see the upcoming pattern, the accuracy rate, the optimal accuracy rate, the current Relative Strength Index (RSI), and its optimal RSI.

Screenshot taken from a Trade Cycles account on Jul. 20, 2026.

Below the graph, you can view the statistics for each pattern. The statistics include the historical accuracy rate, average return, median return, annualized return, and the ticker’s optimal RSI. More on this when we get into the different seasonality patterns.

Screenshot taken from a Trade Cycles account on Jul. 20, 2026.

The default number of years under review is 15; however, you can adjust this in the settings (upper left).

You can specify the years under review on the far right or set a custom date range. You can even find seasonality based on the U.S. election cycle or the presidential party.

In the upper right of the seasonality graph, we added “Calendar Year 2026” and “Rolling 12 Months” views.

• Calendar View: Displays a full 12-month calendar from January to December.
• Rolling 12 Month View: Displays seasonality data for 6 months prior to the current date and 6 months forward, offering a continuously updated year-long perspective.

There are three levels of seasonal patterns.

• Standard Seasonal Patterns: these are basic recurring trends, highlighted in green with an up arrow, or red with a down arrow.
• Optimal Patterns: a step above, these patterns have a higher level of reliability, with at least 80% historical accuracy rate and 15 years of historical trading history.
• Seasonal Synergy: the strongest level, where an optimal pattern also aligns with momentum.

We found that the Relative Strength Index (RSI) worked as the momentum indicator. However, instead of using the standard rule that “RSI below 30 is good,” we determined the optimal RSI level for each pattern.

The Optimal RSI is associated with the pattern. A stock might have optimal patterns, each with a different optimal RSI value. This reflects the unique personality of each stock and recognizes that the stock behaves differently at different times of the year.

For example, the optimal RSI value for Micron Technology (MU) during May 14 to Jun. 3 is below 59; whereas, the optimal RSI value during Aug. 20 to Sept. 9 is below 44.

Screenshot taken from a Trade Cycles account on Jul. 20, 2026.

If you hover over the pattern, you will get more information. For example, in the screenshot below, the optimal seasonal pattern from Jun. 26 to Jul. 21 for Apple (AAPL) triggered Seasonal Synergy because the RSI was below 52 at the start of the optimal pattern.

Screenshot taken from a Trade Cycles account on Jul. 20, 2026.

If you scroll down the page, you can review the Years Under Review for the selected pattern and the Pattern Returns graph.

Screenshot taken from a Trade Cycles account on Jul. 20, 2026.

Trade Cycles does NOT factor in a stock’s health status, trend, or other TradeSmith indicators. However, as mentioned earlier, you can integrate these elements into your overall market strategy for a more complete picture. 

To learn more about our Volatility Quotient (VQ%) or risk metric, click here.

To learn more about our Health Indicator, click here.

Need Help? 

Our Customer Success team is ready to assist: 

• Phone: 1-866-385-2076 (toll-free) 
• Email: [email protected] 

*Note—The tabs and features you see on your TradeSmith Finance site will vary based on your subscription(s) and subscription level(s).