Indices DJIA S&P 500 DAX 30 Nasdaq 100 Nasdaq Comp Nikkei 225 FTSE 100 SMI DJ Stoxx 50 CAC 40 Hang Seng Kospi Nyse Comp AMEX   -     -     -     -     -     -     -     -     -     -     -     -     -     -   9906.5 1062 5488.1 1734.2 2125.3 9932.9 5107.2 6339 2662.6 5488.1 19789 1570.5 6727.1 1769.3 Commodites Light Crude Oil Brent Crude Copper Gold Pallad Platinum Silver Dow Diamonds QQQQ   -     -     -     -     -     -     -     -     -   72.35 70.65 292.8 1068.5 409 1486 15.19 99.18 42.65 Last update: 09-02-2010 12:09:00 (GMT - Live)

Neural network technology and trading systems Neural network technology and trading systems Profit Target Exits Gunning Slippage Contrarian Trading Testing speed Linear Programming Optimization & Curve-Fitting What if the Markets Change? Monte Carlo Simulations Walk-Forward Testing What are genetic algorithms? A Plan for Identifying and Trading Pullbacks Automated Trading Systems for Financial Markets and Recommendations for Their Usage Neural network technology (Artificial Neural Networks) is a form of IA - Artificial Intelligence. Artificial Neural Networks are relatively crude electronic models based on the neural structure of a human or animal brain. NN are data analysis methods and algorithms, indirectly based on the nervous systems. These biologically inspired methods of computing are thought to be the next major advancement in the computing stock trading. In the 1980s the neural network technology became of interest to the financial community. By 1989 dewelopment tools for S&P 500 forecasting, system based on Scientific Consultant Services' NexTurn technology. Now neural network is used in all of the financial markets - stock, bonds, international currency, and commodities. Neural networks are reported to be highly successful in the Japanese markets. Daiichi Kangyo Bank has reported that for government bond trading, neural networks 'gain" 60% to 75% - 20% better than the Nikkei 225.