With such a pleasant bounce in the markets — or melt-up as I have seen it described, it may seem superfluous to examine where the action has been coming from. This is how the Stocktwits 50 and IBD 50 lists did this week, in addition to some 10-stock lists derived from them using random selection and some of Vectorvest’s filters.
“T10″ means the top ten issues in the watchlist as ranked by the publisher of the list. VST indicates a ten-stock watchlist compiled by filtering the base watchlist by Vectorvest’s VST proprietary indicator, RT its proprietary Relative Timing indicator. Rand indicates a ten-stock watchlist compiled from a random selection. There was no random selection drawn from the Stocktwits 50 this week as the list was only 25 issues.
Momentum stocks, which is as good a name as I can think of for the ST50 and IBD50 constituents have not been leaders either in this rally or collectively since earlyAugust when I started keeping score in this experiment. In fact, both the ST50 and IBD50 lag the average and compounded weekly performance of “the market” which I calculated as the average weekly performance of the S&P500 and the NASDAQ composite. That goes for the filtered watchlists too, by the way. I have compiled a randomly selected list from the IBD50 for four weeks. In each of those four weeks the random list has outperformed the proprietary filtered lists. The proprietary lists haven’t outperformed the as-published lists either. On average over ten weeks the Top-1o selections from the Stocktwits50 and the IBD50 have underperformed the list performance as a whole based on average or compounded weekly returns. So much for stock picking, then. That may be a bit harsh given the difficult market conditions we’ve experienced, but for now, if you can’t afford to buy the whole 50-stock list a randomly-selected proxy does not look like exactly the worst way to go.
On to sectors. This last week technology, energy and materials have provided the best performance. I typically like to follow sectors using Vanguard ETFs as they are a less-expensive alternative. This is the graphic I have set up in TC2000 where I can compare the different sector ETFs, select a time period to sort and calculate performance. The results are automatically added to the watchlist column. Past results may not indicate the future but I have found this a good way to see what sectors are hot. I also use the same approach for market segments which is what is illustrated below:












