Resources2020-05-25T16:30:25-04:00

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
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

Blog and case-studies

Blog and case-studies

October 2019

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 [...]

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 [...]

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 using alternative data

Semiconductor industry outlook using alternative data “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 [...]

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 [...]

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

Alternative data: Apple case study

Alternative data: 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 has ever [...]

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 [...]

READY TO EXPLORE OUR DATA?

As alternative data goes mainstream, but the deal cycle takes between 6-12 months, it is critical to understand the key challenges in implementing an alternative data program in order to know how to streamline the process.

If you are a data buyer or user, we’ll appreciate your answer below. It will help us, the data vendors, to understand better and streamline the process.

[yop_poll id="1"]

October 2019

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 [...]

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 [...]

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 using alternative data

Semiconductor industry outlook using alternative data “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 [...]

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 [...]

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

Alternative data: Apple case study

Alternative data: 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 has ever [...]

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 [...]

READY TO EXPLORE OUR DATA?

As alternative data goes mainstream, but the deal cycle takes between 6-12 months, it is critical to understand the key challenges in implementing an alternative data program in order to know how to streamline the process.

If you are a data buyer or user, we’ll appreciate your answer below. It will help us, the data vendors, to understand better and streamline the process.

[yop_poll id="1"]