More on GFNN becoming a robo investment advisor

Dear GFNN Shareholder,

GFNN’s becoming a robo investment advisor will enable it to leverage my core expertise, which is to develop algorithms that enable professional investors to outperform the stock market.

This will put GFNN on the forefront of the wealth management industry.

It will also enable GFNN to cash in from the second trend that Deloitte pointed out in its “10 Disruptive Trends in Wealth Management” report; “Science vs. Human based advice” is the future of the wealth management industry.

Below are the cash flow algorithms that I developed for StockDiagnostics.com:

• The EPS Syndrome. Lehman, Merrill Lynch and Bear Stearns were diagnosed by this algorithm.
• OPS rankings. A portfolio of companies with OPS 1 rankings substantially outperformed the S&P 500 over every conceivable time horizon.
• Free Cash Flow Yield. Identified exceptionally undervalued companies including Investools which went from $0.20 to $14.00 and was acquired by Ameritrade. Many GFNN shareholders made huge profits from Investools.

Since 2016, my focus has been to develop algorithms which enable an investor to time the market.

One of my new algorithms, the Bull & Bear Tracker has been publishing signals to trade ETFs.

From January 2018, through June 2019 its long and short signals to trade S&P 500 long [symbol: SPY] and inverse [symbol:SH] ETFs gained 68.1 percent.

This compared to a buy and hold gain of 9.2 percent for the S&P 500. The table below contains the back tested performance metrics for some of my other market timing algorithms vs. a buy and hold strategy.

With the returns on the stocks in the above table, GFNN; a robo investment advisor utilizing both the StockDiagnostics.com OPS ranking and trend trading algorithms would outperform the S&P 500 routinely.

The GFNN robo advisor would also outperform the thousands of human investment advisors who rarely outperform the S&P 500.

In hindsight, GFNN should have been converted into an investment advisor after “The EPS Syndrome” algorithm correctly predicted the bankruptcy of Lehman.

The publicity could have been used to attract thousands of clients and hundreds of millions of dollars. It would have saved everyone a lot of heartache.

Stay tuned for more on GFNN’s resurrection.

Michael Markowski, GFNN founder.