Home 2019-10-11T10:28:21-04:00

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

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FIRST TO INVEST LTD

FIRST TO INVEST was incorporated in 2017, headquarters in Israel. Our team is purpose-built to extract key events from a world increasingly full of noise

Terms, conditions, features, availability, pricing, fees, service and support options subject to change. Neither First to invest. nor any of its officers, employees, representatives, agents or independent contractors are, in such capacities, licensed financial advisors, registered investment advisers or registered broker-dealers. First to invest does not provide investment or financial advice or make investment recommendations. Nothing contained in this communication constitutes a solicitation, recommendation, promotion, endorsement or offer by First to invest of any particular security, transaction or investment.
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