Ed Gately
Ed Gately received his degree in physics and started his professional career as an electronics engineer. He worked his way
up the corporate ladder to become the president of a successful electronics company. He began actively trading the stock market upon his retirement
from that firm. At that time, Ed began to research neural networks extensively as a complement to technical analysis. Ed developed a neural network
for forecasting the S&P 500 ten days into the future that, when tested with fresh data, generated amazingly accurate results. When forecasting ten
days out, 38 percent of the predicted points were within one point of the actual S&P figure, 76 percent were within two points, and 93 percent were
within four points. When forecasting five days into the future, the results were even better: 56 percent of the predicted points fell within one
point of the actual S&P, 77 percent were within two points, and 99 percent within four points. Ed’s book, Neural Networks for Financial Forecasting,
builds upon this research. Ed spends most of his time developing, writing about, and lecturing on neural networks. In addition to these efforts, he
is currently working on a new book, describing how to establish price and time targets in the financial markets. |
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