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FIRST TO INVEST

ALTERNATIVE 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

FIRST TO INVEST

ALTERNATIVE 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-driven firms 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 an accurate and clean dataset contains 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, private equity and corporates.

NLP

Use case

October 2019

Alternative data: benefits and challenges

Alternative data: benefits and challenges What benefits can the use of alternative data bring to financial institutions? Quarterly earnings reports and industry whitepapers are often slow and infrequent and as these traditional sources of information are readily available, they tend to offer limited actionable intelligence or insight. No [...]

Alternative data: Netflix outperform in Q3 2019

Alternative data: Netflix outperform in Q3 2019 We saw the shift in Netflix $NFLX from the past quarter using key events that took place during 3Q. The streaming-video pioneer beat subscription estimates thanks to growth in countries like Brazil and India. The third season of Stranger Things helped drive [...]

Alternative data: clean dataset and why it’s impotent

Alternative data: clean dataset and why it's impotent Today, more than 80% of the data is unstructured. Data is being produced as we speak – from every conversation we make in social media to every content generated from news sources. In order to produce any meaningful actionable insight [...]

September 2019

Private equity alternative data Case Study – Snowflake

Private equity alternative data Case Study - Snowflake Snowflake provides a data warehouse as a service designed for the cloud, founded in 2012 and raised $928M to date. The company is headquartered in San Mateo, California, United States. Snowflake offers corporate users to store and analyze data using [...]

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Use case

August 2019

NLP: Sift through the noise

NLP: Sift through the noise As data volume increase by the day, the noise level is tremendous. By noise, we mean the same data in different wording or even duplication of the same content. In the financial markets, data is key factor for outperforming the benchmarks. However, nowdays, [...]

June 2019

Alternative data: Paris Air Show Airbus vs Boeing

Paris Air Show Airbus vs Boeing The Paris Air Show 2019 (June 17th to 23rd) is the key event for major airplanes manufacture as key deals are made during the trade show. Each year the competition between Airbus and Boeing is getting more intense as each wants to [...]

Using NLP in the financial industry

Using NLP in the financial industry Today’s financial markets are inextricably linked with financial events like acquisitions, profit announcements, or product launches. Information extracted from news messages that report on such events could hence be beneficial for financial decision making. The ubiquity of news, however, makes manual analysis [...]

May 2019

Ford Motors Layoffs events in 2019

Ford Motors layoffs event tracking using events detection and NLP system Ford Motor (F) announced more job cuts as it continues to restructure, with thousands of salaried positions set to be axed. The automaker will cut 7,000 jobs around the world by August, Ford said in a statement [...]

April 2019

Auto-manufacturer recall events 2019

Auto-manufacturer recalls events monitoring using events detection and NLP system Manufacturers of any product—from toys to medicine to automobiles—must create items that are, above all else, safe to use. Not only is this essential to long-term brand value and corporate success, but it’s also required by law. But [...]

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 [...]

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