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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

October 2018

Market analysis – US market case study

This is how our system notify about the US market correction 2 days before it happens After a 5% correction in the US market, we analyzed our system to see if we could know before it happens Our system can generate market, sectors, industries, and ETFs event-driven score [...]

Industry analysis – Medical Devices case study

Industry analysis - Medical Devices case study US medical device makers could lose $138 million this year as a result of the 25 percent US tariffs on Chinese imported goods that went into effect from July, and they may cause some manufacturers to downsize and cut research and [...]

September 2018

Equity event analysis – Apple case study

Equity event analysis - Apple case study Apple ($AAPL) unveiled not one new version of the iPhone X, but three, in its biggest event of the year. Among the trio is Apple’s largest ever phone – the iPhone Xs Max – which features the biggest display that Apple [...]

ESG event category – AT&T case study

ESG event category - AT&T case study AT&T ($T) has suffered a data breach that compromised some details of about 3% of its total 77 million users or about 2 million customers which the personal information of millions of its users, including phone numbers, e-mail addresses, and account [...]

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