Market Intelligence
Political stories generate a lot of noise in everyday news. To stay on top of important facts you need to filter many things out. With Event Registry, you can easily track political events and all its metadata around it.
Contextual News for Enhanced Market Strategies
Speed is essential for different market strategies. But thousands of articles appear every day and financial firms often require additional context to react appropriately. Not every event is as important to your firm’s strategy as the next. And not every event hits the media in the exactly same way.
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Augmenting Quantitative Strategies with Contextual News
As quantitative strategies become even more complex, firms need to augment the content of breaking stories with contextual details that help differentiate mundane items from significant, market-moving events.
Harnessing the Power of Structured News Data
As quantitative strategies become even more complex, firms need to augment the content of breaking stories with contextual details that help differentiate mundane items from significant, market-moving events.
Named-entity Detection
Named-entity detection helps to sort through the noise and identify relevant signals from hundreds of thousands of companies, government organizations, places, currencies, and commodities.
Advanced Filtering
Advanced filtering automatically eliminates false positives and gets you alerts on relevant events and topics covering corporate, economic, societal, environmental, and political issues.
Market Perception and Generating Trade Signals
It is difficult to understand whether the news is perceived by the market as positive or negative, whether the story is relevant to a company and whether the story is new or recycled. Sentiment derived from news offers a measure of market opinion and is most commonly used to create a time series of buy/sell signals using the ratio of positive-to-negative news, occasionally also incorporating news volume.
When leveraging quantitative processes to perform NLP on news, the sentiment analysis can serve as a short-term signal for traders, offering the ability to act on information before the market can react.
When leveraging quantitative processes to perform NLP on news, the sentiment analysis can serve as a short-term signal for traders, offering the ability to act on information before the market can react.
Boost Productivity and Accuracy with Structured News Metadata
Save time and increase productivity with well-structured metadata from our cleaned and labeled datasets to help you leverage outside insights and increase the accuracy of your data outputs. News as an alternative market data source can support advanced analytics initiatives such as:
Data/text mining
Machine learning and NLP
Forecasting and predictive analytics
Pattern matching and trend spotting Visualizations
Semantic and sentiment analysis
Network and cluster analysis including graph analysis
Complex event processing
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Effortless Integration
Out API is very easy to integrate and provides great documentation with examples. Simply use the sandbox to generate code that you can directly deploy in your application.