Leveraging international market sentiment for trading strategies
Hedge funds rely on data from all corners to build their stock trading models. Learn how one fund tapped into international market sentiment to augment its trading strategy.Start Your Free Trial
An avalanche of market data comes out every minute in the form of social media, Bloomberg updates, Dow Jones newswire, Barron's on MarketWatch. How does a hedge fund manager corral all this information to evaluate stock market sentiment?
The financial markets are more competitive and cut-throat than ever. High frequency trading algorithms seek out any volatilities in the market and exploit them in sub second transactions. Having accurate information at your disposal is critical to making the right call on any given trade.
When the manager of a large hedge fund specializing in the Asia-Pacific region wanted to analyze market data in real-time, he turned to Repustate.
One of the main issues in dealing with multilingual financial market data is company names aren't all written the same way. Johnson & Johnson for example is written as 强生公司 in Chinese news sources. So if you're trying to gather market sentiment for J & J, you need to be able to uniquely identify its name, regardless of language. Once you're able to do this reliably, then applying sentiment analysis to the data in the local language yields useful insights.
Armed with Repustate's API and the ability to do multilingual entity extraction, the hedge fund manager had his team build a real-time dashboard based on Repustate's semantic and sentiment analysis of the various news sources. Among other things, market sentiment and share price were compared for various equities and debt instruments. A sample of the type of graph you'd see in this dashboard can be seen below:
A graph like this shows share price compared to market sentiment, both positive and negative, for a particular company.
Repustate's semantic analysis also provides this hedge fund with insight into industries in general. Market data can be mined for mention of any companies in a given industry, such as forestry or semi-conductors or aerospace, without having to specify each and every company in each and every industry because Repustate already knows the industries a company is in. The sentiment for that news can also be piped into a financial model to help create a trading strategy.
The entirety of the financial news produced each day, combined with analyzing market sentiments expressed on social media, or forums like Seeking Alpha, can all be mined and categorized instantly with Repustate's API. Throw in political news that can dramatically effect markets (e.g. political unrest in Ukraine leads to oil prices rising), and you being to have a complex network of data easily navigable with Repustate's text analytics.