Intelligent Algorithmic Trading Systems
Algorithmic trading systems use mathematical models to analyze financial markets to determine when to buy and sell, as well as to execute and manage orders once they have been placed. Such systems can be manually operated by human traders, partially automated by human traders and algorithms, or fully automated through the use of algorithms in a form of artificial intelligence.
A traditional analytical approach employs technical analysis, which seeks to determine what a security is worth at a given point in time. Such an approach uses historical prices and indicators to identify zones of supply and demand where buyers and sellers are likely to change the price of the financial product. A complementary technique, known as quantitative analysis, uses mathematical and probabilistic models to make predictions about future movements of a market.