The Unvarnished Truth About Stock Picking

As a seasoned observer of the tech industry, I’ve often marveled at the hubris that afflicts some developers and engineers. But few areas are as prone to self-delusion as the world of stock picking. Rob Isbitts’ recent foray into individual security analysis is a fascinating case study in this phenomenon.

Isbitts, a veteran portfolio manager with decades of experience under his belt, has spent most of his career constructing investment portfolios rather than picking stocks. He’s made no secret of this fact, often likening himself to an architect who builds entire edifices rather than individual bricks. However, when he took over the “Chart of the Day” newsletter for Barchart, he seemed to abandon caution and dive headfirst into single-stock analysis.

The results are revealing. Of his 21 picks, only a handful performed spectacularly well, while others suffered devastating drawdowns. What’s most striking is Isbitts’ own introspection on the experience. He notes that, as a risk manager first and return-maximizer second, he would never have held through some of those deep drawdowns in a real portfolio.

This raises an important question: why do so many portfolio managers and individual investors treat stock picking as a binary exercise? Isbitts’ own words serve as a warning: “In real-world portfolio construction, single-ticker decisions are all just one piece of a bigger puzzle.” It’s time to move beyond the tired tropes of “right” or “wrong,” and start thinking about stocks in context.

The risk of overconfidence is a major pitfall for stock pickers. Isbitts notes that even with strict exit rules in place, it’s impossible to predict which stocks will be winners and which will be losers. Despite this, many investors continue to treat individual securities like magical talismans, imbued with mystical power to defy market forces.

This kind of thinking got us into trouble in the first place – namely, the notion that we can game the system or outsmart the markets. As Isbitts astutely observes, “Relying on ‘hope and recovery’ is not an investment strategy.” It’s time to take a more nuanced view of stocks, one that acknowledges their inherent volatility and uncertainty.

Isbitts’ foray into individual security analysis also serves as a reminder that even the most seasoned professionals can get caught up in the heat of the moment. His performance was marked by some spectacular successes, but also costly failures. Despite this, he emerges from the experience with a newfound appreciation for the power of single-stock tactical setups combined with macro overlay risk management.

This kind of thinking is precisely what we need more of in the world of finance – namely, a willingness to learn and adapt, rather than relying on outdated theories or dogmatic approaches. As Isbitts puts it, “Who says an old dog can’t learn new tricks?”

As I reflect on Isbitts’ account, I’m struck by the broader implications for stock picking. In recent years, we’ve seen a growing trend towards algorithmic trading and quantitative investing – approaches that rely on complex mathematical models to make investment decisions.

However, what Isbitts’ story reminds us is that even in an era of increasing automation, there’s still room for human intuition and judgment. His willingness to experiment with single-stock analysis may have been unconventional, but it also led to some remarkable insights – namely, the importance of context and nuance in stock picking.

As we move forward into a world where machines are increasingly making investment decisions, it’s essential that we remember the value of human expertise and judgment. Isbitts’ story serves as a powerful reminder that even in an era of rapid technological change, there’s still room for innovation and creativity – if only we’re willing to think outside the box.