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

Quantitative investment models

Dataset

Clean dataset using a hybrid model for accuracy and advance clusters for data relationship
Each event is scored based on its impact on the company’s performance, which indicates the direction (bullish/bearish) and duration (long/short term)
Structure machine-readable dataset
Delivered daily via S3, API, FTP
Trusted by top tier quant shops
A trial period for backtesting

Portfolio managers

Analysis levels

Markets
Sectors
Industries
Companies
ETFs
Portfolio
Countries

Functionality

Friendly and easy to use interface
Event-driven score by date range
ML data query
Key influencer factor indicator
Advance filtering
Export to xls, csv, pdf, ppt
Email and phone alerts on event-driven score changes
Share notes and other information with colleagues to encourage organized collaboration

Privet equity

DDQ on target company

Track corporate events on target company to make data-driven decisions: new product launch, fundraising, expansion to new markets, partnerships, joint venture, acquisition, management change, changes in product pricing model, regulatory decisions, financial reports, and compare the data with public-traded peers

Portfolio companies

Track portfolio companies’ corporate events to monitor their business activities and make the right adjustment to their strategy

Corporate

Competitors monitoring

Track competitor’s corporate events such. new products, management change, M&A, new deals, new agreements, expansion to new markets, ESG and more
Benchmark against other peers and industry performance

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 [...]

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 [...]

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