Video review of "Designing Neural Networks for Financial Forecasting"

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Rating: 4/5

New neural network users often follow a predictable pattern. They feed the network one year of data and a haphazard roster of technical studies including the RSI, MACD, ADX, three moving averages, Stochastics and any other handy data. These new users then expect the network to generate accurate predictions thirty days into the future. They are dismayed and perplexed when they discover that the forecasts are worthless.

Ed’s workshop covers the human brain and artificial neural networks. You will learn the proper steps you must take to generate meaningful results. He shows you how to select appropriate inputs and how to prepare or preprocess and otherwise manipulate your data prior to training your software. He teaches you how to extract the test data and how to train the neural net to the correct accuracy level. He describes network architectures and activation functions and shows you what to do if the network will not train to the desired accuracy level. Finally, Ed discusses some of the classic traps which await the beginning neural network user such as colinearity, price shocks caused by such incidents as the Persian Gulf War, and the onset of option trading in a specific item. He also describes the effects of other non-typical market events. Anyone who has contemplated the use of neural net software will benefit from this workshop.

To watch this video visit InoTv