Working with my financial analyst (aka Muse), we developed a numerical scoring of covered call ETFs that aligns with my investment thesis: efficient monetization of high market returns. I'm willing to take market risk as long as it pays me in stable cash flow. Muse even showed a sense of humor about my naming the metric the "anti-hater score". The number measures earned yields and performance versus the underlying assets. A higher sum indicates greater alignment with my thesis. Touche on the haters. While the number is intuitive in a bull market, Muse projected what the metric will look like in a bear market. Still, it will be useful for ranking these ETFs. This metric has forced me to crystallize the rationale behind all holdings in my portfolio. $HHIS$HYLD$HDIV$QDAY$QQQY$BANK
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20 Comments
Paul N@pauln · 13d
Oh no, more voodoo mathematics proving the obvious, the pitchfork crowd will be out soon to whine about this
Michael Conroy
@conroy119 · 13d
If you bias your prompts to an expected outcome, AI will just tell you what you want to hear. Looking at these images, I dont see what kind of conclusions you can make at all. Its just recency bias.
Carter Erickson@cartererickson · 13d
A lot of the trad fi bros can’t admit they are wrong on cc ETFs
Robert S@mookie88 · 11d
I think the bday looking good is actually only because it's recent. Rather than comparing % above index, compare YoY. If less then dont compare as it's not valid. The volatility with bitcoin is very high, in fact it's probably what has been driving BIGY & HHIS to -ve asset growth. However I like your approach using numbers, but I generally avoid all -ve growth ETFs as that's another problem that I have to solve down the road.
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