Proposal and Implementation of New Trading Strategies for Stock Markets using Web Data

• Eduardo Jabbur CEFET-MG
• Adriano Pereira UFMG
• Douglas Castilho UFMG
• Everton Silva UFMG
• Humberto Brandão UNIFAL-MG

Abstract

The use of social networks and the Web is growing every day, generating a lot of data that can aggregate value to different applications. In financial market, there is a need to better understand the situations that occur in the capital market, through negotiation strategies and technical indicators that can assist in analysis and envertment decisions. This article presents a study of the time series data of historical quotations on assets of BM&FBOVESPA 1 and Web data about investments (e.g., social networks, forums, blogs, and news), with the objective of seeking subsidies that can assist in a better understanding of financial market behavior. Based on the theory of Elliott Wave, we propose several trading strategies, evaluating them in a realistic simulator of the financial market. The results show how the use of distinct indicators, such as the ones that are based on Web data, can help minimizing losses and maximizing the triggers that generate profit

Keywords: Web 2.0, Data Characterization, Stock Markets, Trading Strategies, Financial Indicators