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High performance real time swing trading software
High performance day trading system
Advanced Software for Real Time Swing and Trend Trading Stocks and ETFs
High performance real time stock trading system
High performance real time ETF trading system
High performance real time swing trading software
High performance real time trend trading system
High performance day trading system
High performance day trading system

Neural Networks


Neural networks are advanced computer artificial intelligence that is able to capture and represent complex relationships. It can compare existing stock-trading patterns with previous situations, analyze all kind of indicators and eventually "learn" what works and what doesn't as the program digests more data. The true power and advantage of neural networks lies in their ability to digest a huge amount of data, find both linear and non-linear relationships from trading patterns, and make deep analytics that can never be accomplished by human analysts at the same time.
Neural networks are built into various sophisticated trading systems in wall street firms.

CyberTD uses neural networks to capture the intraday trading patterns and the effectiveness of technical indicators for each stock in the Real Time Watch List, and makes trading decisions based on the trading strategy and the Neural Networks Output. Although such analysis is not a guarantee to be accurate every time, it is truly objective and scientific, and maybe the best possible that people can do when dealing with unpredictable stock markets.

Articles on the Applications of Artificial Intelligence in Wall Street
U.S.News: Investing with Neural Networks
U.S.News: Artificially intelligent investing

Books on the Applications of Neural Networks to the Financial World:
Neural Networks in Finance and Investing
by Robert R. Trippi and Efraim Turban 
Intelligent Systems and Financial Forecasting
by Jason Kingdon 
Neural Network Solutions for Trading in Financial Markets 
by Dirk-Emma Baestaens, et all. 
Neural Networks in the Capital Markets
by Apostolos-Paul Refenes.


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