Chapter 6 NEURAL NETWORKS. How to Raise Your Financial IQ to Stay Ahead of the Competition. The human brain is composed of hundreds of billions of cells known as neurons, which through their connections to each other relay information from one neuron to another. | Chapter 6 NEURAL NETWORKS How to Raise Your Financial IQ to Stay Ahead of the Competition Neural networks are excellent at sifting through enormous amounts of seemingly unrelated market data and finding repetitive patterns that could never be perceived visually just by looking at price charts or by comparing two markets to one another. The human brain is composed of hundreds of billions of cells known as neurons which through their connections to each other relay information from one neuron to another. This process allows a person to learn relationships draw inferences recognize patterns and make predictions among other tasks. While substantially less complex than the human brain neural networks model how it processes information and performs pattern recognition and forecasting. Neural networks are comprised of individual neurons organized in layers and interconnected through network architecture with variable mathematical weights attributed to each connection. The architecture includes an input layer hidden layer and an output layer. Neural networks are excellent at sifting through enormous amounts of seemingly unrelated market data and finding repetitive patterns that could never be perceived visually just by looking at price charts or by comparing two markets to one another. Through a mathematical error minimization process known as learning or training neural networks if designed properly can be trained to make highly accurate market forecasts based upon these patterns. Trend Forecasting With Technical Analysis 93 Neural Networks Combine Technical and Intermarket Data VantagePoint s neural networks are designed and trained to make specific forecasts for each target market. The raw input data from the target market and related markets statistical preprocessing of the raw data network architecture as well as the training and testing regimens are tailored to each target market. Figure 6-1 depicts how single-market technical data from a target market and .
