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Glad you like it!

My pleasure!

Morningstar's Global Equity Classification Structure classifies Utilities as a defensive sector so we'll go with Morningstar. Thanks for your comments, though. indexes.morningstar.com/resources/PDF/Methodology%20Documents/SectorArticle.pdf

If XLE is really tuning higher, it will show up in the SEAF Model over the next few weeks.

Indicators are constantly conflicting with each other, whether it is technical, fundamental, or economic data. Choosing which indicators to pay attention to at what times is what separates good analysts/investors from not-so-good ones.

The constituent metrics in our models are chosen by quantitative backtesting from a large and comprehensive list of market tools.

The Asbury 6 are not ranked in order of importance.

Thank you for the compliment. Over 17 years at the CME I worked or traded in pretty much every trading pit on the floor.

We're glad you are enjoying the video. The data used in the video is through Friday, March 22nd. The video was produced on Sunday, March 24th. You may be referring to our Positive (bullish) signal in our Asbury 6 risk management model, which was initiated on February 7th and remains intact through March 22nd. On the Asbury 6 graphic used in the video, you will notice that the data is through 03-22-24.

Thank you. After doing this for 40+ years, I block out most of the opinion and chatter and just follow the money.

Thanks for your comments. We appreciate them. We're not sure what you mean by "biased with data". The SEAF Model tracks the velocity of real money (AUM) as it moves around the 11 sectors of the S&P 500, which together comprise the S&P 500. This is real data, not bias or opinion. The real truth in markets is in the data. Real money "moving around the board". Bias is personal opinion. Like believing that a methodology or model is "working" or not working based on one's own definition of what "working" means at that particular time, or what one's P and L looks like at any given time. This is precisely why we quantitatively back-test our models and methodologies rather than making anecdotal or emotionally driven assumptions. If you believe that normalizing a single stock that is acting "atypically" (NVDA), or using an equally weighted ETF (RSP) during times that you determine market breadth is "narrow", you can test that for yourself. We encourage investors to do their own research to make better, data-driven decisions. Our concern with this approach would be that it presents another issue of subjectivity into what should be a data-driven process. What does "atypically" and "narrow" mean? Exactly when should a stock like NVDA be normalized,? And for how long? And, regarding using an equally-weighted index, which index are you benchmarking your performance to? What performance do you want to capture? SPX is up 7.5% for 2024. RSP is up 3.8%. Since 2023, SPX is up 33%. RSP is up 16%. Which return are you trying to capture? Whatever your answer is, that's the index you should be basing your investment decisions on. More detailed information about the SEAF Model is available at asburyresearch.com.

@@asburyresearch technology sector is moving because of handful of stocks. When data is skewed heavily towards few stocks the sector performance is reflective of just those stocks and not entire sector. You can see this difference with performance between Qqq and Qqqe. I am referring to this aspect as biased data. When a sector is this heavy the underlying flows within sector can portray a different story and seaf model is capturing inflows within handful stocks not the entire sector.

Thanks for your interest. More information on the Asbury 6 is available here: www.asburyresearch.com/models/

Appreciated!

Thank you. More detailed information about our models is available at asburyresearch.com then clicking Models at the top of the page.

Thanks!

That's basically correct. This particular video is produced every week to accompany the latest updates in our SEAF (Sector ETF Asset Flows) Model, which takes place on Saturdays for the upcoming week. We occasionally publish the previous week's video to educate those interested in our research and services on what we do. The current report and video are available to paid subscribers only.

Thank you. We are aware and working on the video quality.

Simply because I have using that particular indicator for decades and am familiar and confident with it.

Happy holidays!

Asbury Research uses its own quantitative models that screen hundreds of ETFs every day to find unique opportunities pertaining to trend, relative performance, and asset flows. Everything we do is driven by data rather than opinion.

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