Your First Alpha Algorithm Recommendation

Nicholas Vardy

Nicholas Vardy has a unique background that has proven his knack for making money in different markets around the world.

In this, the inaugural issue of the Alpha Algorithm, I want to tell you a bit about why and how I developed this novel approach to investing.

I believe that tracking the top recommendations of the world’s leading investment strategies is one of the best shortcuts to becoming a profitable trader.

This, of course, is easier said than done.

The challenge is that many of these top recommendations are not readily available to small retail investors like you and me.

And, of course, the developers of these strategies have a good reason to keep it this way.

After all, teams of Wall Street analysts are paid millions of dollars a year collectively to develop, test and refine these investment strategies.

Why would they just give the results of their hard won and expensive labor away for free?

In developing the Alpha Algorithm, I made it my mission to pierce this veil of secrecy.

The Alpha Algorithm is the single best way I have found to give everyday, hardworking retail investors access to the top stock recommendations of the leading investment strategies on Wall Street.

Each recommendation made in the Alpha Algorithm trading service is based on a carefully researched, data-driven system I have been developing over the past six months or so.

Here it is in a nutshell:

The Alpha Algorithm tracks at least 20 different top-performing investing strategies focused on U.S. stock markets.

These strategies range from momentum, to value, to insider buying, to share buybacks, to high dividend stocks and much more.

The Alpha Algorithm “looks through” each of these investment strategies to identify the overlapping holdings in each.

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Furthermore, I only recommend those positions that are found in at least 5 out of the 20 top-performing strategies I currently track.

My reasoning is straightforward.

If at least five separate top-performing investment strategies with different philosophies converge on a single stock, it’s a solid bet that the stock has what it takes to perform strongly.

Some of the names generated by the Alpha Algorithm will be familiar to you. Others will be names you have never heard of.

And don’t let the brevity of the recommendations in the Alpha Algorithm fool you.

Whether the recommendation is a household name or an obscure small-cap stock, you can be sure that a lot of “smart money” has done deep analysis before investing in that stock.

With that, here is my very first recommendation for the Alpha Algorithm.

Victor, New York-based Constellation Brands, Inc. (STZ) has been long known for its wine business. It also became the third-largest brewer in the United States when it acquired the rights to Corona, Modelo Especial and other Mexican beers from AB InBev (BUD) in 2013.

STZ Chart
Constellation Brands (blue) vs. an investment in the S&P 500 (red) over the last year


Five Top Investment Strategies Are Betting on Constellation Brands, Inc. (STZ).

1.  Insider Buying

STZ is among the U.S. stocks that corporate officers, directors, and shareholders who own more than 5% of each company’s stock are accumulating.

2.  Hedge Fund Alpha

Based on publicly available disclosures, successful hedge fund managers are investing in the stock.

3.  Momentum Model

The stock is among the top approximately 100 U.S.-listed companies to demonstrate powerful relative strength characteristics relative to the 3,000 largest U.S.-listed companies.

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4.  Value Line Model

The stock is among the top 100 stocks, from a universe of 1,700 stocks, to which Value Line gives a #1 ranking in its Timeliness Ranking System.

5.  Large Cap Growth

The stock is among the top 50 large-capitalization U.S. growth stocks generated through a rigorous 10-factor fundamental screening process.


Buy Constellation Brands, Inc. (STZ) at market today.

Place your stop at $115.00.


Buy the STZ July $140 calls (STZ160715C00140000), which last traded at $9.60 and expire on July 15.

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