Could you give me an example of how I can use TradingSolutions neural networks to determine the best time to buy and sell my technology stocks?
A. Here are a couple of examples to illustrate how you could use neural networks: The common way to use neural networks in financial markets is to predict a specific value, such as the closing price of Microsoft stock, and base a buy and sell strategy on that predicted price. First, you download a set of data for Microsoft, such as a historical list of prices it has traded at. Then, you allow the neural network to analyze the data for relationships between the closing price and other factors, such as the prices for the preceding days. Once this is done the neural network can be used to predict future closing prices, allowing you to identify buying opportunities. In addition to this method, TradingSolutions also has a unique feature that allows you to analyze historical data to determine when the best buying and selling opportunities would have been. TradingSolutions calls this the optimal signal. The neural networks can then be used to analyze this buy and sell information for relation
