Home2020-05-22T03:43:31-04:00

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

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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
Request Access

Now more than ever, it is essential to augmenting alternative data from global sources in order the capture alpha, mitigate risk and assessing new investment opportunities.

Now more than ever, it is essential to augmenting alternative data from global sources in order the capture alpha, mitigate risk and assessing new investment opportunities.

1. Data Driven

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 industries.

NLP

1. Data Driven

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 industries.

2. Extancive Coverage

Covering 10,000 companies globally with more than 400 events categories and subcategories.

2. Extancive Coverage

Covering 10,000 companies globally with more than 400 events categories and subcategories.

3. Human Still Matters

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.

3. Human Still Matters

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.

4. Data Output

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).

4. Data Output

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).

5. Data Delivery Methods

The data is presented via visually compelling, interactive dashboards or as CSV file via AWS S3.

5. Data Delivery Methods

The data is presented via visually compelling, interactive dashboards or as CSV file via AWS S3.

Use case

Use case

Quants / Quantamental

Standardized data to evaluate both companies and industries on a global scale

  • 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

  • Point in time data collection methodology

  • Delivered daily via S3, Dashboards

  • A trial period for backtesting

Read More

Private equity / Venture capital

Alternative data provides an element of nuance that can be valuable to PE investors

DD on target company

  • Use alternative data to identify fast growing companies by monitoring events of a 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

Special projects

  • Short-term DD, industry analysis and monitoring a basket of Private companies

Read More

May 2020

Alternative data in the new decade

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April 2020

The Impact of Coronavirus on South Korea consumer discretionary sector

The Impact of Coronavirus on South Korea Consumer Discretionary Sector Coronavirus impacts South Korea's consumer discretionary companies strongly as it's force shutting down, suspend manufacture, closing stores, supply-chain disruption etc...As the Consumer Discretionary mainly relies on physical presence, the impact of COVID-19 made shocks to this sector in [...]

March 2020

The Impact of Coronavirus on S&P 500 Companies Outlook

The Impact of Coronavirus on S&P 500 Companies Outlook The spread of the coronavirus has reached a pandemic, spanning 112 countries and regions, the stock markets have officially plunged into correction territory—at the fastest rate ever recorded, suffering its worst losses since the 2008 financial crisis this week [...]

February 2020

Coronavirus and companies reaction on its implication

Coronavirus and companies' reaction on its implication The World Health Organization official said other governments need to prepare for“domestic outbreak control” if the disease spreads in their countries. The spread has spooked global markets and threatened prospects for economic growth. an updated number as for Feb 09 reach [...]

READY TO EXPLORE OUR DATA?

Request Access

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.

Which factors impact alternative data long implementation?
Vote

Quants / Quantamental

Standardized data to evaluate both companies and industries on a global scale

  • 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
  • Point in time data collection methodology
  • Delivered daily via S3, Dashboards
  • A trial period for backtesting
Read More

Private equity / Venture capital

Alternative data provides an element of nuance that can be valuable to PE investors

DD on target company

  • Use alternative data to identify fast growing companies by monitoring events of a 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
Special projects
  • Short-term DD, industry analysis and monitoring a basket of Private companies
Read More

May 2020

Alternative data in the new decade

Alternative Data in The New Decade Alternative data is a secret weapon financial firms wish to keep on the down-low. After all, Wall Street is designed to reward those who find better ways of assessing risk and punish those who don’t. The recent health pandemic puts alternative data [...]

April 2020

The Impact of Coronavirus on South Korea consumer discretionary sector

The Impact of Coronavirus on South Korea Consumer Discretionary Sector Coronavirus impacts South Korea's consumer discretionary companies strongly as it's force shutting down, suspend manufacture, closing stores, supply-chain disruption etc...As the Consumer Discretionary mainly relies on physical presence, the impact of COVID-19 made shocks to this sector in [...]

March 2020

The Impact of Coronavirus on S&P 500 Companies Outlook

The Impact of Coronavirus on S&P 500 Companies Outlook The spread of the coronavirus has reached a pandemic, spanning 112 countries and regions, the stock markets have officially plunged into correction territory—at the fastest rate ever recorded, suffering its worst losses since the 2008 financial crisis this week [...]

February 2020

Coronavirus and companies reaction on its implication

Coronavirus and companies' reaction on its implication The World Health Organization official said other governments need to prepare for“domestic outbreak control” if the disease spreads in their countries. The spread has spooked global markets and threatened prospects for economic growth. an updated number as for Feb 09 reach [...]

READY TO EXPLORE OUR DATA?

Request Access

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.

Which factors impact alternative data long implementation?
Vote
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