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

December 2019

Alternative data corporate event 2019 statistics

Alternative data corporate event 2019 statistics The stock markets will finish 2019 with double-digit gains for the 8th time out of the last 11 years. During 2019, our system capture 38K events (68% bullish events vs. 32% bearish once). Here is 2019 statistics: We are excited to see [...]

Alternative data: ESG Case Study

Alternative data: ESG Case Study Environmental, social and corporate governance (ESG) refers to the three central factors in measuring the sustainability and ethical impact of an investment in a company or business. These criteria help to better determine the future financial performance of companies (Wikipedia). ESG is growing [...]

November 2019

Alternative data: Brexit vote prediction using NLP

Alternative data: Brexit vote prediction using NLP The United Kingdom’s divorce with the European Union, better known as Brexit, has become a drawn-out, contentious affair without an obvious resolution. Former British Prime Minister Theresa May’s government and her counterparts in the European Union negotiated a withdrawal agreement last [...]

Alternative data: Uber not a surprise

Alternative data: Uber not a surprise... Uber Technologies Inc (UBER) on Monday posted a wider third-quarter loss as costs at the ride-hailing company soared, sending shares down 6.7% in after-hours trading. Based on Uber's 3Q event analysis we can see that Uber's event-driven score is in a downtrend [...]

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 [...]

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 [...]

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"]

December 2019

Alternative data corporate event 2019 statistics

Alternative data corporate event 2019 statistics The stock markets will finish 2019 with double-digit gains for the 8th time out of the last 11 years. During 2019, our system capture 38K events (68% bullish events vs. 32% bearish once). Here is 2019 statistics: We are excited to see [...]

Alternative data: ESG Case Study

Alternative data: ESG Case Study Environmental, social and corporate governance (ESG) refers to the three central factors in measuring the sustainability and ethical impact of an investment in a company or business. These criteria help to better determine the future financial performance of companies (Wikipedia). ESG is growing [...]

November 2019

Alternative data: Brexit vote prediction using NLP

Alternative data: Brexit vote prediction using NLP The United Kingdom’s divorce with the European Union, better known as Brexit, has become a drawn-out, contentious affair without an obvious resolution. Former British Prime Minister Theresa May’s government and her counterparts in the European Union negotiated a withdrawal agreement last [...]

Alternative data: Uber not a surprise

Alternative data: Uber not a surprise... Uber Technologies Inc (UBER) on Monday posted a wider third-quarter loss as costs at the ride-hailing company soared, sending shares down 6.7% in after-hours trading. Based on Uber's 3Q event analysis we can see that Uber's event-driven score is in a downtrend [...]

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 [...]

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 [...]

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"]
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