ARTICLE SYNOPSIS ...Some believe that W.D. Gann was able to make accurate economic predictions based on the 18.5-year lunar cycle. Here is a look at this concept, with a study that plots lunar cycles against the stock market...
ARTICLE SYNOPSIS ...Here's a template for a spreadsheet that anyone can use to set up a simple trend-following system...
ARTICLE SYNOPSIS ...Does inflation explain why markets are higher in dollar value and why they seem to be worth less in purchasing value? Here's a detailed look....
ARTICLE SYNOPSIS ...Here's how you can construct a simple Excel spreadsheet for the volatility switch indicator....
ARTICLE SYNOPSIS ...Have you ever objectively analyzed the data of lunar cycles and its relationship with the financial markets? Here is one method that could bring some value to your trading....
ARTICLE SYNOPSIS ...Here's one way you can combat the high-frequency traders. The best part is, you can sleep well at night, using the one-year moving average of the cumulative advance-decline data....
ARTICLE SYNOPSIS ...Often, we forget to take inflation into account when calculating long-term returns. Here's how you can include this necessary variable and get a more realistic picture of your returns....
ARTICLE SYNOPSIS ...Here's how you can use the Commitment Of Traders report to help in trading commodities....
ARTICLE SYNOPSIS ...Build a spreadsheet to aid in revealing profitable opportunities in pair trades....
ARTICLE SYNOPSIS ...Stocks & Commodities V. 22:4 (60): Sidebar: Durbin Watson statistic by Ron McEwan The Durbin Watson statistic is a test that looks for first-order autocorrelation in the residuals of a time-series regression. The residual for time period t is compared with the residual for time period t?1, resulting in a statistic that measures the significance of this correlation. The value of the statistic ranges from zero to 4, with 2 indicating that there is no serial correlation. Sidebar Figure 1 shows a spreadsheet for calculating the autocorrelation for 10 securities....
ARTICLE SYNOPSIS ...Stocks & Commodities V. 22:4 (58-60): Come Here Quick, Durbin Watson by Ron McEwan Here's how you can use the Durbin Watson statistic to measure the autocorrelation of two securities. One of the most powerful statistical tools traders have at their disposal is the ability to measure the correlation between two sets of time series data. There are many approaches to this. One is to measure the relationship of stock prices (usually the closing prices). Another method, common among portfolio analysts, is to measure the correlation of the returns (daily, weekly, or monthly) of the underlying dat...