ARTICLE SYNOPSIS...A Neural Network System For Reliable Trading Signals by Marlowe D. Cassetti For those of you who have complained that you have to be a rocket scientist to understand what we run in Stocks & Commodities, here's a rocket scientist to explain it to you.
ARTICLE SYNOPSIS...A Personal Neural Net Trading System by James Stakelum What goes through the mind of someone developing a neural network trading system? What are the steps involved in putting together something that mimics the mystery of the human mind? Here are some c
ARTICLE SYNOPSIS...Adding The Human Element To Neural Nets by Jeffrey Owen Katz, Ph.D., with Donna L. McCormick Is it possible to train a neural network to ""see"" the way you and I do? These Contributing Writers walk you through their research in selecting chart-based tr
ARTICLE SYNOPSIS...Chaos Theory And Neural Network Analysis by John Kean Do markets have memory? In this new theory by Edgar Peters, an offshoot of chaos theory, John Kean explains, markets can be regarded as nonlinear dynamic systems, and neural networks can be used to a
ARTICLE SYNOPSIS...Designing A Personal Neural Net Trading System by James Stakelum What goes through the mind of someone designing a neural network trading system? Last month, James Stakelum explained some of the steps involved in putting together a neural network. This
ARTICLE SYNOPSIS...Developing Neural Network Forecasters For Trading by Jeffrey Owen Katz, Ph.D. Neural networks, for many, still exist only in the realm of theory, without having real, practical, everyday uses -- yet. But neural network applications need not be confined s
ARTICLE SYNOPSIS...Forecasting T-Bill Rates With A Neural Net by Milam Aiken Have you ever wondered how accurate the consensus estimates of interest rates were from the top US economists? How about how accurate those economists are in comparison with neural net technology
ARTICLE SYNOPSIS...Neural Net Input Optimization by Kyle M. Druey Here's an article based on the author's own research of neural networks and personal experience developing neural net trading models. These findings are more from the practical/user-oriented framework rathe
ARTICLE SYNOPSIS...Neural Nets In Technical Analysis by Yin Lung Shih The technical analysis of price data requires a mix of mathematical technique, experience and intuition. Anyone with a background in high school math can understand, or at least calculate, the mathemati
ARTICLE SYNOPSIS...Neural Network
ARTICLE SYNOPSIS...Neural Network Development For Financial Forecasting by Lou Mendelsohn Extensive research has been conducted about the application of neural networks to financial forecasting in today's globalized trading environment. What makes this particular use of a
ARTICLE SYNOPSIS...Neural Network Pair Trading by Marge Sherald Pair trading is a market-neutral trading strategy. But how do you find the right pair? Using neural networks, of course. Are you taking a second look at market-neutral trading systems in today's difficult ma
ARTICLE SYNOPSIS...Neural Networks With Learning Disabilities by Connie Brown Neural networks are systems that use architecture similar to the brain as a means to analyze data and find hidden relationships. A neural network is well suited for the task of pattern recogniti
ARTICLE SYNOPSIS...Neural Networks by Wolf von Rönik Think neural networks are too difficult a concept to learn? They're not. Take a look. In a broad sense, neural nets are computer models that attempt to mimic the "wetware" or actual physiological structure and function
ARTICLE SYNOPSIS...Neural networks: A trading perspective by Carol H. Halquist & George F. Schmoll, III Neural networks and neural network simulators are used in signal processing, expert systems, modeling and forecasting. They may be used to solve complex, well-defined p
ARTICLE SYNOPSIS...Option Strategies and Neural Networks by Thomas B. Rubino Jr. Confidence intervals are a statistical tool that describes the accuracy of a prediction, while neural networks provide predictions. This article combines the two to define the risk in a trade
ARTICLE SYNOPSIS...Preprocessing Data For Neural Networks by Lou Mendelsohn Today's global markets demand new analytical tools for survival and profit as prevailing methods of analysis lose their luster. Here, Stocks & Commodities contributor Lou Mendelsohn explains how a
ARTICLE SYNOPSIS...The Basics Of Developing A Neural Trading System by Lou Mendelsohn As traders begin to experiment with and apply artificial neural systems to financial forecasting, there are pitfalls to avoid in the design and training of these systems so this new tech
ARTICLE SYNOPSIS...The Neural Network Financial Wizards by Steve Ward and Marge Sherald What techniques do some of today's money managers using neural nets use? Here's a glimpse. In these days of more and more ways of applying neural networks, financial experts using neu
ARTICLE SYNOPSIS...Trading The S&P With A Neural Network by Jeremy G. Konstenius Here's an example of the steps that one trader took to use a neural network to trade the stock market index futures. Today's technical traders have the opportunity to use sophisticated meth
ARTICLE SYNOPSIS...Training Neural Networks by Lou Mendelsohn The application of neural networks to financial forecasting has quickly become a hot topic in today's globalized trading environment. With extensive technical, intermarket and fundamental data available for ana
ARTICLE SYNOPSIS...Treasury Bond Yields: A Neural Net Analysis Approach by John Kean In this article, STOCKS & COMMODITIES contributor John Kean uses a neural network to look for predictable patterns between Treasury bond yields and two of the driving forces behind the bo
ARTICLE SYNOPSIS...Using Neural Nets For Intermarket Analysis by John Kean Changes in Treasury bill yields, Treasury bond yields, gold and the U.S. dollar affect the stock market in subtle but predictable ways. These are complex and challenging relationships to decipher -
ARTICLE SYNOPSIS...Can neural networks aid traders? By Mark B. Fishman, Dean S. Barr and Walter J. Loick Neural networks are the newest form of artificial intelligence technology to make its way into market analysis. Neural networks, also referred to as neural nets, mimic
ARTICLE SYNOPSIS...Using Neural Networks For Financial Forecasting by Lou Mendelsohn With this offering, STOCKS & COMMODITIES contributor Lou Mendelsohn concludes his examination of neural networks for financial forecasting in today's globalized trading environment. Here,
ARTICLE SYNOPSIS...Stocks & Commodities V. 24:12 (60-61): What Can Neural Networks Do For You? by Dima Vonko Neural networks can multiply your profits -- if you know how to use them. Neural networks can be created to generate profits. You may think you need vast computer