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05/05/2022 |

TrendSpider Software Update: New Asset Seasonality Data Types

Hey everybody, and welcome to another software update from your friends at TrendSpider! In this update, we’ve made some really exciting new changes to the Seasonality widget. If you’ve ever used the Seasonality tool before, you know that it provides a visualization of how a stock performs across different time intervals; Monthly, Weekly, Daily and Hourly. In this update, we’ve included some exciting new measurements that you can now track. Details after the jump!


When you open up the Seasonality widget, you’ll notice a new drop-down menu next to the time interval drop-down menu. It’s preset to ‘Change%>0’ by default and can be seen outlined in a red square in the image below.

New Asset Seasonality Data Types in TrendSpider.


When you click that drop-down menu, you’ll see these available options:

Change%>0

This option shows us the percentage of the time a stock saw an increase in price.

Rel.Vol(20) > 1 or > 2

This option shows us the percentage of the time a stock had a Relative Volume value greater than 1 or 2, meaning greater than its average volume or greater than 2x its average volume.

RSI(14) > 70 or 50

This option shows us the percentage of the time a stock’s RSI (Relative Strength Index) was greater than either 70 or 50, respectively.

RSI(14) < 50 or 30

This option shows us the percentage of time that a stock’s RSI (Relative Strength Index) was less than 50 or 30, respectively.

MFI(14) > 50 or < 50

This option shows us the percentage of the time a stock’s MFI (Money Flow Index) was greater than or less than 50.

SMA(20) Distance% > 0

This option shows us the percentage of the time a stock was trading above it 20-period SMA.

SMA(50) Distance% > 0

This option shows us the percentage of the time a stock was trading above it 50-period SMA.

SMA(100) Distance% > 0

This option shows us the percentage of the time a stock was trading above it 100-period SMA.


Utilizing the New Functionality

In the example below, we’re looking at Relative Volume on $IBM, and specifically for weeks in which its Volume was greater than 2x its Average Volume. Since 2003, we can see clearly that the 42nd week of the year tends to have the highest probability of seeing 2x average volume. 32% of the time, to be exact!

New Asset Seasonality Data Types example in TrendSpider.

Next, we put our focus on $SPY and its Relative Strength reading. We have the ‘RSI(14) < 30’ option selected, meaning we’re looking for instances in which $SPY’s RSI is less than 30 on the weekly time frame. As you can see, it’s quite a rare occurrence for this name to see its RSI below 30 on the weekly time frame. Since 2003, the highest percentage of the time that we’ve seen this low RSI reading is 6%, and it tends to occur early in the year (weeks 10-12) and late in the year (weeks 34, 40-42, 46-47). Since 2003, all other weeks have closed with RSI above 30.

New Asset Seasonality Data Types example in TrendSpider.

In the image below, we’re looking at the $QQQ, and specifically the weeks of the year in which it trades above it’s 20-week SMA. As we can see, it has traded above its 20-week SMA 100% of the time during the last week of the year since 2003. Note, also, the 12th week of the year. On this particular week, its only traded above its 20-week SMA 53% of the time since 2003. This suggests that the end of March tends to be a weak time of the year for $QQQ.

New Asset Seasonality Data Types example in TrendSpider.

We’re really excited about this new update, and we do have plans to add even more functionality to the Seasonality widget down the road. We hope you find these new features useful and feel free to reach out to us in chat if you have any questions!