What type of information can be fed into neural networks when searching for relationships in the data?
A. Whether you are predicting the future prices of a stock or modeling the optimal signal, TradingSolutions neural networks can identify their relationships to any date-based information. This includes basic trading information (e.g., high and low prices and trading volume for each day), technical indicators (e.g., moving averages and number of days since a new high was reached), and broad market conditions (e.g., the Dow Jones Industrial Average). Whatever you think is relevant can be fed into the neural networks to improve the predictions. Q. I’m convinced that neural networks are the tool I need for improving my trading results. But do I need the knowledge of a mathematician or scientist to figure out how to effectively apply neural networks? A. Not at all! While the theory behind neural networks is rather complex, the interface in TradingSolutions makes it simple for anyone to apply them to their trading. In fact, after completing the step-by-step tutorial, you’ll immediately be re
Related Questions
- Will iZone Networks install wiring should there be none available to connect the new data line to the location where the CPE is to be installed?
- What type of software do we recommend agencies have to track and report on client-level data?
- Can a voice/data IP network be as reliable as traditional circuit-switched voice networks?
