Review

Considering the many thousands of publicly traded securities, most traders have a preferred process to sift through the universe. If you missed it, a glance at your news will show that the key points remain relevant.

This Week: Can Model-Based Trading Beat The Market?

The advantages of model-based trading seem clear. For example, models are much more disciplined in their decisions than are humans. For example, we’ve written about this previously by describing the importance of disciplined entry and exit points for your trades, as well as using disciplined position sizing. Further, model-based trading eliminates emotion. For example, according to Dr. Brett Steenbarger, evidence shows that emotions can really screw up your trades (especially if you are a newbie), but they can also be used to help increase your focus if you know what you’re doing. And on that note, we’ve written previously about the importance of making sure your trading process fits your style.

And considering the wide accessibility of model resources (such as data and modeling applications as simple as Microsoft Excel), many of the things human traders seek can be accomplished easily with models. Further still, there should be plenty of incentive to build such models considering the profits that are available.

Please note: This week’s Stock Exchange is being edited by our frequent guest: Blue Harbinger. Blue Harbinger is a source for independent investment ideas focused on value and income opportunities. Please also note: this week our models have no new specific stock picks to share. Instead, we review our model scorecard.

Our Model Scorecard:

Not surprisingly, our models based on momentum (i.e. Felix and Athena) have been working the best lately, while our models based on mean reversion and dip buying (Holmes and RoadRunner) have performed less well. We say “not surprisingly” because momentum stocks (MTUM) have been performing very well recently (relative to the S&P 500) as shown in the following chart.