Index investing is quickly becoming the most popular style of investing.

Investors want the diversification, liquidity, and safety of an index fund or ETF.

However, they do want want to relive events such as the bursting of the dot com bubble from 2000 to 2002, or the horrible bear market of 2008 to 2009.

Older generations had the stock market crash of 1929 and the Great Depression seared in to their memories.

So the simple question for index investors is: should we be long or in cash? seeks to answer that question.


I created a solution for investors that I wish I had years ago. From 2005-2010, I helped to manage a family partnership. My father was Sumner A. Long, a legendary oil tanker broker and ocean racing sailor who had founded Long, Quinn & McAleer (LQM). He was in his 80s and helping to manage his long term investments was a heavy responsibility. 

Even though the portfolio has done very well, nothing will compensate me for the pain, heartache, and stress of living through 2008 and 2009. I promised myself that I would never be fully invested through a brutal bear market ever again. Millions of investors feel the same way. The technology I have developed for market direction is the technology I wish I had then. 

The Zomma Directional Algorithm's goal is to go long the S&P 500 through index exposure when it is trending up and to move to cash before major drops.

If you want a solution that creates powerful visualizations, we have the answer. 

Here is a screenshot of the Zomma Directional Algorithm:


The algorithm provides clear signals for when to buy an S&P 500 index fund and when to move to cash.

Here are the algo's rules, which can easily be seen visually:

1. When the yellow line crosses above the green cloud, buy SPY (or your preferred index fund).

2. When the yellow line crosses back in to the top of the green cloud, sell SPY (or or your preferred index fund) and move to cash.

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Zomma is an algorithm creator. Zomma is not a Registered Investment Advisor. Zomma disclaims all liability associated with the observation and/or following of its algorithm's signals. Investors should always consult with their own Registered Investment Advisor.

Hypothetical performance results have many inherent limitations, some of which are described below. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown; in fact, there are frequently sharp differences between hypothetical performance results and the actual results subsequently achieved by any particular trading program. One of the limitations of hypothetical performance results is that they are generally prepared with the benefit of hindsight. In addition, hypothetical trading does not involve financial risk, and no hypothetical trading record can completely account for the impact of financial risk of actual trading. For example, the ability to withstand losses or to adhere to a particular trading program in spite of trading losses are material points, which can also adversely affect actual trading results. There are numerous other factors related to the markets in general or to the implementation of any specific trading program, which cannot be fully accounted for in the preparation of hypothetical performance results and all which can adversely affect trading results.

© 2019 by ZOMMA LLC