Modified Ned Davis Method—Breadth Divergence April 2016, by Frank Roellinger

Over the years I have developed a lot of respect for the condition of breadth divergence, when an index such as the S&P 500 is rising and the NYSE daily cumulative advance-decline line is not.  In January 2016 I listed the performance of my method on the short side as a function of the number of consecutive weeks of divergence at the time of the …

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Predicting Stock Market Returns—Lose the Normal and Switch to Laplace

Everyone agrees the normal distribution isn’t a great statistical model for stock market returns, but no generally accepted alternative has emerged.  A bottom-up simulation points to the Laplace distribution as a much better choice. A well-known problem in financial risk assessment is the failure of the normal distribution (also known as the Gaussian distribution) to correctly predict big up or down days on the stock …

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Frank Calls the Corrections with His Modified Ned Davis Method

In September 2013, I published a post written by Frank Roellinger on his stock market trading system—a modification of the Ned Davis system first published in the 80s. Since Frank’s work was first published here he has shifted his Russell 2000 positions 11 times, each move reported here and on my twitter account.   His hypothetical portfolio value has increased  from 1658 to 1936 (+16.7%)—impressive given …

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Guest Post: Short “Sweet Spot” Approaching, Jan 2016? —by Frank Roellinger

Probably the most difficult thing to do in stock market investing is to identify a good time to sell.  Many technical indicators have been devised to identify lows around the time they occur or soon thereafter with a moderate degree of success, but to my knowledge that has not happened for tops with comparable success. My own modified Davis method does not do a very …

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