ARTICLE SYNOPSIS...A better way to smooth data by J.S. Payne, Ph.D. What every trader desires is indicators that give strong signals with no misleading period-to period jitter, or noise. We all know what noise is to a trader, but let's restate it. Noise is something in yo
ARTICLE SYNOPSIS...Finding Cycles In Time Series Data by A. Bruce Johnson, Ph.D. To improve the process of removing trend from stock market prices to see underlying cyclic movement, I have combined triangular moving averages with the moving average convergence/divergence
ARTICLE SYNOPSIS...Finding patterns in random data by Nelson Weiderman, Ph.D. Since the advent of the personal computer, a great deal of time has been devoted to finding tradeable patterns in stock and commodity data. The idea is that patterns found in historical data are
ARTICLE SYNOPSIS...Stocks & Commodities V. 25:4 (14-17): Forex Focus: Recycle Your Data by Patrick S. Nouvion Access to foreign exchange trading has opened up exciting trading options for the retail trader. You can now trade alongside corporations and institutions in a hi
ARTICLE SYNOPSIS...Is all data equal? If truth be told, I never gave it much thought. I have been using one vendor nearly exclusively for about 20 years. My fills are good enough. My closing prices seem to match what I see on television or find online. As long as t
ARTICLE SYNOPSIS...Stocks & Commodities V. 24:13 (40-45): Interview: Bob Pelletier Of CSI Data by Jayanthi Gopalakrishnan Not many current traders can remember a time when commodities weren't a driving force in the markets, but Robert Pelletier, president of CSI, can. Pel
ARTICLE SYNOPSIS...Locating value with auction market data by Donald L. Jones There are two fools in every market. One asks too little, one asks too much. -- Old Russian proverb The search for value in markets is a never-ending quest, since value changes with underlying
ARTICLE SYNOPSIS...EXCEL FAST FOURIER TRANSFORMS, DECEMBER COPPER DATA by Technical Analysis, Inc. Here is the layout for preprocessing data and running a fast Fourier transform (FFT) in Excel. Column A of the spreadsheet (sidebar Figure 8) is the date column. Our first d
ARTICLE SYNOPSIS...Seasonal Adjustment Of Time Series Data by George R. Arrington, Ph.D. While time series data is the heart of most technical trading systems, some have a tendency to reflect seasonal patterns; for example, agricultural commodities tend to follow harves
ARTICLE SYNOPSIS...A continuous data series for remodeling a futures trading system can be created in a number of ways. Here's a new method that uses a percentage-based back-adjusted technique to ensure that profits and losses from a trading system are equivalent over time