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Trading Strategy Beat the S&P, QQQ, & DIA in 2022
How an embarrassingly simple trading strategy beat the S&P by 14 percentage points in 2022
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Finding An “Edge”
In today’s world of investing and trading, everyone is looking for an edge. This “edge” can come from many different sources that allow the beholder to increase their odds of being correct such as
Quantitative models using statistical analysis (quant funds)
Inside information (illegal)
Hiring industry experts and consultants
Paying for proprietary data (credit card data, black box data, etc)
And many more
However, while many will spend an obscene amount of money in order to generate a profit for their PnL, I was curious if there was some type of trading strategy that could beat out other funds while utilizing the least amount of resources possible.
This is where I decided to look into a ridiculously simple strategy that I felt might be too good to be true.
So with that, let’s take a look.
For very quick context, intraday volatility has exploded in recent years which can be seen in the chart below.
If you’d like to read a few more facts on the above chart, you can click the link below to continue on.
Anyways, with so much volatility happening during the day I wanted to examine 2 different strategies that carried different risks against my “control” case.
Control: The ETF that I’m comparing to and how its return was as if I bought and never sold
Test #1: Buying at the market open, and selling at the close every day incurring intraday market risk but eliminating overnight risk
Test #2: Buying at the close, and selling at the open every day incurring overnight risk but eliminating intraday risk
Fairly simple strategy right? I think so.
So the way all this was calculated was based on taking an initial $10,000 and buying and selling shares to the max whole share count allowed on a daily basis and rolling over cash until we could buy the next whole share.
What you’ll be shocked to see is just how well these strategies worked last year against the SPY, QQQ, and DIA.
If look at the SPY, the results are absolutely wild.
If you held onto the SPY at the beginning of the year and didn’t sell, you’d be down almost 20%, however, if you used the buy at the open / sell at the close trading strategy, you’d only be down a whopping 5.3% over the same time frame.
Similarly, if you used the buy at close / sell at open strategy, you’d still beat the SPY return but not as much as the former strategy.
Pretty crazy but let’s pivot over to the tech favorite QQQ.
Compared to the results that we just saw for the SPY, the QQW results are somewhat similar.
If you held onto the QQQ at the beginning of the
year and didn’t sell, you’d be down 33%, however, if you used the buy at the open / sell at the close trading strategy, you’d only be down only 14.5% over the same time frame.
Similarly, if you used the buy at close / sell at open strategy, you’d still beat the QQQ return by ~11.9 percentage points.
Don’t get me wrong, so far you’d be losing money on all these strategies but in some instances, like the SPY, you’d be cutting your losses by nearly 72%.
But now let’s look at the DIA.
This is where the results get a little interesting because they aren’t exactly on par with the other two comparisons we’ve looked at.
Surprisingly, if you held onto the DIA, you would have outperformed the buy at close / sell at open strategy by 2.7 percentage points.
However, if you still used the buy at open / sell at close strategy, you would have not only been positive for the year but beat the control by 12.2 percentage points!
Using the buy at open / sell at close strategy seems to be the clear winner of all three ETFs that we did this for.
One very major point of all this that isn’t being accounted for is the taxes involved in this strategy. Without diving into the numbers further, I’m not quite sure how many up days we had compared to down days but I can with some level of confidence say this strategy is not tax advantageous.
Nonetheless, I’ll leave you to take this strategy as you will but it was still a great exercise to run.
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Until next time,
Paul Cerro | Cedar Grove Capital
Personal Twitter: @paulcerro
Fund Twitter: @cedargrovecm
HoldCo Twitter: @cedargrovech
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