Big Data Automatic System of Analysis and Trading on Financial Markets
Анотація
The paper considers the main tendencies of the international currency markets and opportunities for individual investments. The methods of decision support of assets purchasing were provided. A mechanism of intellectual trade with the use of a significant data flow is proposed. Open and closed types of information products were combined to automate the system. Guided by the effectiveness of trade signals assessment, recommendations were made for the use of methods of artificial neural networks or logistic regressions. A set of criteria has been formed to support life cycle of the automated trading system.
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