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Big data and NLP technologies to collect, structure, and reveal events from news articles, press releases, and financial social media and share it with our clients via dashboards or API

DATA FOR ALPHA

Big data and NLP technologies to collect, structure, and reveal events from news articles, press releases, and financial social media and share it with our clients via dashboards or API

DATA FOR ALPHA

Sophisticated investors are increasingly augmenting their decision-making processes using alternative data sources from news and social media.

In today’s noisy environment, it is essential to have a bigger and clearer picture of companies and countries financial activities by being able to collect, structure, and reveal important events in order the capture alpha.

Using big data and NLP technologies powered by dedicated classifiers, dictionaries and clusters for the financial industry, provides the opportunity to sift through the noise and find only the relevant events which impact financial outcomes of companies and countries.

To empower the technology, a hybrid model of machine and human is being used to provide accuracy of data classification, context, and sources to ensure maximum value for our clients.

The output is accurate and clean dataset which contain only the important events where each is scored based on its impact on the company’s performance, which indicates the direction (bullish/bearish) and duration (long/short term).

The data is presented via visually compelling, interactive dashboards or as CSV file via FTP or API.

Our data and system are being used by world-leading quants, quantamental, fundamental hedgefunds and assets managers.

Coverage

30 Markets
11 Sectors
42 Event Categories
80 HQ Countries
136 Industries
385 Event Subcategories
700 ETFs
7172 Companies
60000 Events in DB

Use case

December 2018

Forecast Revenue and earnings outcome Using Event-Driven Score

Forecast Revenue and earnings outcome Using Event-Driven Score One major use of an event’s direction using NLP and big-data is the prediction of quarterly financial performance which reflects the company’s operational activities. In this case study, we tested the 2Q 2018 financial announcements using an event-driven score aggregation [...]

November 2018

Earnings Beat Forecast Using Event-Driven Score

Earnings Beat Forecast Using Event-Driven Score Events such as M&A, new deals, new orders, partnerships, ESG, regulatory decisions, management and stakeholders’ changes, expansions to new markets or product categories, new products, price changes, new agreements, FDA decisions, financial reports related events, and more reflect the companies’ ongoing operation [...]

Semiconductor industry outlook

Semiconductor industry outlook “Three-quarters of the way through 2018, the global semiconductor industry is on pace to post its highest-ever annual sales, comfortably topping last year’s record total of $412 billion,” said John Neuffer, president and CEO, Semiconductor Industry Association. “While year-to-year growth has tapered in recent months, [...]

October 2018

Using Corporate Events To Forecast Financial Outcomes

Using Corporate Events To Forecast Financial Outcomes In today’s reporting session, it is essential to be able to track corporate events such as M&A, new deals, partnerships, ESG, regulatory decisions, management and stakeholder changes, expansions to new markets or product categories, new products, price changes, new agreements, FDA [...]

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