Instead, controlling risk is the practice of smart money investing, while assuming unnecessary risk is something left to the smaller unwitting investor. For example, I have seen many small investors bet the farm on a very speculative play. I have seen them go all in at market tops, and I have seen them sell it all at market bottoms.

My experience tells me this will almost always be true -- investors who are less educated about the underpinnings of the economy and market cycles will always lag behind others, but over time those lessons can be learned and steps to prevent recurrences can actually result in quite handsome profits.

I will be more specific as I continue, but the most obvious best decisions over the past 12 years was to sell everything when the Internet bubble was peaking in 2000. Then buy everything back when they were capitulating late in 2002, sell again at the end of 2007, and buyback aggressively again at the beginning of 2009.

Most investors were not so lucky, most investors also have tremendous amounts of trouble making these important decisions at those relative peaks. But for those who were able to stir up the courage, those relative peaks and valleys could have made these sideways years quite profitable.

Of course, we all know someone who for one reason or the other was not invested near relative market peaks and who had the money to buy stocks when the market capitulated, and he boasts about his returns enough to make us all jealous sometimes, but those persons should consider themselves lucky because most people have not earned a dime over the past 12 years. The S&P 500 is basically flat from where it was in 2000.

With that said, selling everything and then going all in and then repeating this practice is aggressive by nature. It involves a high degree of risk, and although some people hit the nail on the head, it is not easy to do. If it were easy to do we all would be professional investors. What is easy to do is an alternative approach that I developed about eight years ago.

In February, 2002, I notified my clients that an incredible buying opportunity was coming, and with the integration of our technical tools we pinpointed the bottom that occurred in October, 2002, within four points. I followed that up late in 2006 with a warning that the top of the economic and market cycle was coming; that report was called Top of The Market to You.

Around that same time I introduced a strategy that I called our swing trading alerts strategy. It is a simple strategy design to trade the technical channels of the NASDAQ with the ETFs associated with it (we started with correlated stock selection).

When the market offers buy signals we buy QLD (QLD), an ETF that should return twice the daily performance of the NASDAQ-100 Index. When the market offers sell signals we buy QID (QID), an ETF that should return twice the inverse of the daily performance of the Dow Jones Industrial Average. And when the market flounders we are often in cash. The strategy is not perfect, but it can work in both up markets and down markets and it has integrated risk controls.

Although we all like the idea of buying near the bottom and selling near the top, it is often hard to pinpoint these turning points and therefore smart money would rather adopt a strategy that can work regardless of market direction. Furthermore, that strategy must include defined risk controls and follow a strict set of rules, and I believe our swing trading strategy does exactly that.

As an alternative for people who might be wondering which way this market will go, and even though I believe the direction will be down in a violent way over time, the swing trading strategy can work if the market increases, if it declines, and no matter what happens to the economy. It is by nature defensive because it has integrated risk controls, and its performance versus the S&P 500 proves once again that defense wins championships.

If you are interested in the performance worksheet we have it on our Website. The rules associated with the strategy are available upon request.