Are there any daily seasonalities in the S&P 500? I did some research into SPY, an ETF based on the S&P 500 components and a very good proxy, based average return on which day of the month.
To get a sufficient number of data I started back in 2005. Here are the results:
|Average gain||Average gain||Average gain||Average 5 days||Average 5 days||Average 5 days|
|close to||close||open to||close to||Close||Open to|
|close||to open||close||close||to open||close|
The first column is the day: 1 is the 1st of the month.
For example, the 13th is the 13th of January. “Close to close” is the average from the previous days close to today’s close. For example, The 1st is the gain from the previous day until the close of the 1st.
“Close to open” is the average gain from yesterday’s close to today’s open.
“Open to close” is the average gain intraday from open to the close. The three columns called “average” is simply the average of the 5 days prior to the row.
There are two main patterns that have held up remarkably well over the years: The best days tend to cluster around the end and the beginning of each month.
Of course, this is a very crude analysis, but later I’ll show some potential strategies based on this.
If you would like to have the Amibroker and Tradestation code for this strategy plus 70+ other free trading strategies published on this website, please click on this link:
For more trading strategies, please click here:
– What is the purpose of analyzing daily seasonalities in the S&P 500?
The analysis aims to identify patterns in the S&P 500’s average returns based on which day of the month, potentially providing insights for trading strategies.
– What do the patterns in the analysis reveal about daily seasonalities in the S&P 500?
The analysis shows that the best days in the S&P 500 tend to cluster around the end and the beginning of each month.
– Are there any specific days of the month that consistently show better performance in the S&P 500?
Yes, the analysis suggests that certain days, particularly those around the end and beginning of each month, have historically demonstrated better performance.