Products
SentimenTrader Trading Tools
‍
Backtest Engine
My Trading Toolkit
Correlation Analysis
Seasonality
Market Prediction
Indicators & Data API
‍
Proprietary Indicators & Charts
Market Data API
Strategies & Scanner
‍
50+ Trading Strategies
Smart Stock Scanner
Smart Option Scanner
Research Reports
‍
Research Solutions
Reports Library
Free Resources
Simple Backtest Calculator
Simple Seasonality Calculator
The Kelly Criterion Calculator
Sentiment Geo Map
Public Research Reports
Education
Sentiment Indicators
Technical Indicators
Pricing
Company
About
In the News
Testimonials
Client Success Stories
Contact
Log inLoginSign up
< BACK TO ALL REPORTS

A relative strength timing system shifts to value

Dean Christians
2024-09-05
For the first time since January 2022, a relative strength timing system that rotates between growth and value shifted in favor of value. At the same time, several other timing systems issued sell signals for technology-oriented ETFs.

Key points:

  • A trading strategy that utilizes relative strength shifted from large-cap growth to large-cap value
  • Other strategies maintained on our website have transitioned away from growth/technology-oriented ETFs

Several notable shifts in relative trends warrant attention

Subscribers are encouraged to regularly review our strategies page, regardless of their interest in automated trading systems. The models provide extensive information on various styles, factors, and sectors, offering a valuable market message.  

At the close of trading on Tuesday, a strategy that uses relative strength to rotate between large-cap growth and value shifted in favor of value. At the same time, strategies for the Nasdaq 100 ETF (QQQ) and the Nasdaq Composite ETF (ONEQ) issued sell signals and now hold the S&P 500 ETF (SPY). 

When you combine these new signals with a sell alert in Technology on 2024-07-30, the weight of the evidence suggests investors should maintain a cautious stance regarding technology/growth-oriented groups. Said another way: I would not be overweight relative to a benchmark.

The system applies an 84-day range rank to the ratio between the iShares Russell 1000 Growth ETF (IWF) and the iShares Russell 1000 Value ETF (IWD). When the range rank rises above the 97th percentile, the system initiates a position in growth. Conversely, when the range rank falls below the 6th percentile, it rotates to value.  

Since ETFs are a relatively new product with limited historical data, I used index data starting in the 1950s to test for the optimal range rank durations and signal thresholds for all relative ratio timing systems on the website.

While the strategy is based on a simple concept that uses a medium-duration lookback period, it has proven highly effective, delivering a compound annual growth rate (CAGR) of 11.45%, outperforming the S&P 500 ETF's benchmark return of 8.5%. Additionally, it requires minimal trading, averaging 1.54 transactions per year since 2006.

As of the end of August, the strategy was ahead of the S&P 500 by nearly 2%. If it maintains this lead through year-end, 2024 will represent its 10th consecutive year of outperforming the benchmark. 

With the shift from large-cap growth to value, value-focused ETFs exhibit a favorable relative trend across small, mid, and large-cap stocks. 

Defensive sectors exhibit positive relative trends

In my research report on Wednesday, I highlighted that my composite relative trend models maintained a positive score for all four traditionally defensive sectors: Consumer, Staples, Healthcare, Real Estate, and Utilities.

The relative strength timing systems available on the website, which are more timely than my composite models due to shorter duration inputs, are positioned in these defensive groups. I would monitor these systems closely. Should the defensive sectors reverse to sell signals, a concern hanging over the market likely has been alleviated.

What the research tells us...

A relative strength timing system that favored growth stocks since March 2023 has shifted its preference toward value stocks. Sell signals in technology-oriented ETFs most likely contributed to the change in factor leadership as technology stocks dominate growth indexes. In light of the unfavorable relative trends affecting growth and technology ETFs, investors should reconsider taking an overweight stance compared to a benchmark. Can gains still be found in select individual stocks within these groups? Yes, but it will be more difficult without a rising tide that lifts all boats.

PRODUCTS
SentimenTrader
Trading Tools
Indicators & Data API
‍
Strategies & Scanner
‍
Research Reports
FREE
RESOUrCES
Simple Backtest
Calculator
Simple Seasonality
Calculator
The Kelly Criterion
Calculator
Sentiment Geo Map
‍
Public Research Reports
‍
Education
Sentiment Indicators
‍
Technical Indicators
‍
Pricing
Bundle pricing
‍
FAQ
‍
Announcements
‍
COMPANY
‍
About
‍
In the News
‍
Testimonials
‍
Client Success Stories
CONTACT
‍
General Inquiries
‍
Media Inquiries
‍
Financial Professionals Inquiries
‍
© 2026 Sundial Capital Research Inc. All rights reserved.
Setsail Marketing
TermsPrivacyAffiliate Program
Risk Disclosure: The information and tools provided are for research and analytical purposes only and are not intended as investment advice. Market analysis involves uncertainty, and outcomes may differ from expectations. Users should conduct their own due diligence and consider their individual circumstances before making any financial decisions. Past performance is not necessarily indicative of future results.

Hypothetical Performance Disclosure: Hypothetical performance results have many inherent limitations, some of which are described below. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown; in fact, there are frequently sharp differences between hypothetical performance results and the actual results subsequently achieved by any particular trading program. One of the limitations of hypothetical performance results is that they are generally prepared with the benefit of hindsight. In addition, hypothetical trading does not involve financial risk, and no hypothetical trading record can completely account for the impact of financial risk of actual trading. for example, the ability to withstand losses or to adhere to a particular trading program in spite of trading losses are material points which can also adversely affect actual trading results. There are numerous other factors related to the markets in general or to the implementation of any specific trading program which cannot be fully accounted for in the preparation of hypothetical performance results and all which can adversely affect trading results.

Testimonial Disclosure: Testimonials appearing on this website may not be representative of other clients or customers and is not a guarantee of future performance or success.