The Expert Advisor Of Exchange Rate Forecasting Based On BP Neural Network

Expert Advisor is the modern computer technology, network communication technology and artificial intelligence technology in the comprehensive application of financial transactions on the market. The current world financial and trading of financial derivatives are the main way to use the electronic trading, the main content is to use trading software (computer technology) and through the Internet (network communication technology) to achieve a variety of financial products, trading, settlement. With the development of artificial intelligence and computer, communications software and hardware upgrades and cost reduction, previously only used for large financial institutions, the computer program trading system Yulai more and more into our daily lives, many of the financial brokerage institutions have adopted the new software to attract the participation of the investors, electronic trading is the transaction fast, low cost, simple and small and medium investors are also increasingly being accepted.In the contemporary world economy, international economic and trade exchanges of any country can afford to leave. Along with goods, services and capital in the international movement of all kinds for the purpose of payment of the movement of money across borders is inevitable. The formation of international economic relations of supply and demand of foreign exchange, foreign exchange, foreign exchange supply and demand led, with the world trend of economic globalization continue to strengthen the international foreign exchange market has become increasingly closely linked. Foreign exchange market as the world's largest financial trading market, is the focus of the majority of investors target market. Foreign exchange market, where banks and other financial institutions, proprietary traders, large multinational corporations to participate, through intermediaries or network connection, and the sale of objects of various currency trading market. It can be tangible-such as foreign exchange, it can be intangible-such as the interbank foreign exchange transactions through the network system transactions. Bank for International Settlements, according to the latest statistics, the average daily international foreign exchange market turnover is about 1.5 trillion U.S. dollars.Participants in foreign exchange transactions, the purpose of their transactions, investors and speculators can be divided into two categories, good foreign investors and speculators on the foreign exchange market in accordance with their understanding of the formation of different trading styles and habits. Through detailed analysis of the behavior of traders, and can be divided into the following steps: 1, open trading software, the selected trading partners; 2, monitor the trend of trading partners, looking for trading opportunities; 3, trading conditions are met, is carried out accordingly to buy or sell transactions; 4, continue to monitor the trend of trading partners, looking for trading opportunities; 5, trading conditions are met, the trading operations, calculate profit and loss account, to complete a transaction cycle; 6, if it continues to trade Repeat 2â†'3â†'4â†'5 step. Can be seen from the above analysis, trading behavior cycle, and its core is to monitor changes in the market conditions of the transaction complete, mature and understanding, no matter what type of trader fundamental purpose is to preserve the value and appreciation, which requires trading to take a scientific, rational and workable trading strategy and transactions.Since the foreign exchange market since its establishment, has accumulated vast amounts of market data and transaction data, data mining large amounts of data from the interpretation of an important means of inductive knowledge. Through data mining, can be extracted from the important developments in the foreign exchange market information, foreign exchange transactions have a good guide.BP neural network technology is an important data mining method, from its inception, its good performance in the field of forecasting has been widely used. In order to improve exchange rate forecasting accuracy and reliability, new methods and models continue to appear. Neural network model is a data-driven model, and its principles through the study of historical data to identify the data generation mechanism, and identify the formation mechanism using to predict the emergence of neural network, which greatly improves the sample exchange rate forecasting Fitting degree, the exchange rate forecasts into a new stage.In this paper, the establishment of intelligent trading system as the research object, review the current exchange rate forecast of the main research method, the establishment of trading systems to make some intelligent insights, using BP neural network technology, changes in exchange rates on trade policy analysis and forecasting trends, given in the Matlab software To achieve BP neural networks to predict trends in the way exchange rate changes, and more common with the current foreign exchange platform MetaTrade 4 contained MetaQuotes Language 4 Language Environment, discusses how to build A Expert Advisor (EA).