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   -     -     -     -     -     -     -     -     -     -     -     -     -     -   10911 1137.4 5732.4 2127.7 2438.1 8981.9 5072.1 4984.1 2161.9 5732.4 19614.7 1817.4 7017.6 2174.7 Commodites Light Crude Oil Brent Crude Copper Gold Pallad Platinum Silver Dow Diamonds QQQQ   -     -     -     -     -     -     -     -     -   83.08 106.28 1.17 1758.7 730.5 1782 38.21 109.16 55.42 Last update: 11-08-2011 14:29:00 (GMT - Live)

Linear Programming 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 LP can be applied to various fields of study. Most extensively it is used in business and economic situations. LP is rarely useful in the development of trading systems. Techniques of LP are designed for optimization problems involving linear cost or fitness functions, and linear constraints on the parameters or input variables. LP is typically used to solve resource allocation problems. In stock trading, one use of LP might be to allocate capital among a set of investments to maximize net profit. If riskadjusted profit is to be optimized, linear programming methods cannot be used: Risk-adjusted profit is not a linear function of the amount of capital allocated to each of the investments; in such instances, other techniques must be employed.