Brain Company

BRAIN is a Research Company that creates proprietary datasets and algorithms for investment strategies

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Scientific
Method
Rigorous
Approach
Robust
NLP Platform
Robust
A.I. Platform

About

BRAIN is a Research Company that creates alternative datasets and develops proprietary algorithms for investment strategies on financial markets.

BRAIN also supports Clients in developing, optimizing and validating their own proprietary models.

BRAIN platform includes a Natural Language Processing and a Machine Learning Infrastructure that enables Clients to integrate state of the art approaches in their strategies. All software is highly customizable to support the investment approach of our Clients.

By selling its proprietary signals BRAIN is also a player in the Alternative Data ecosystem.

Headquarter
Italy

Data Offering

BRAIN is a Research Company that creates proprietary datasets and algorithms for investment strategies, combining experience on financial markets with strong competences in Statistics, Machine Learning and Natural Language Processing.

BRAIN also supports Clients in developing, optimizing and validating their own proprietary models.

News DataSemantic Website DataNatural Language Processing (NLP) Data Stock Market DataResearch Data

Pricing

The typical pricing model is a yearly or quarterly subscription to datasets. The pricing depends on the number of stocks monitored and on the number of time horizons included. For each dataset customization like stock universe and time horizons can be performed.

  • Monthly subscription
  • Yearly subscription

Use Cases

Brain Sentiment Indicator

  • Stay informed: leverage Brain’s proprietary automated analysis of financial news flow to gain a deeper understanding of the dynamic factors driving investor sentiment.

  • Add depth to investment decisions: incorporate BSI’s ranking to build quantitative strategies that include sentiment as a short-term momentum indicator. Apply sentiment scores to value strategies to find companies that could be under- or over-priced mainly due to very low or high sentiment.

Brain Machine Learning Stock Ranking

  • Enhance quantitative models and long short strategies by adding a stock ranking that non-linearly combines stock specific market data (price, volume, fundamentals) with market regimes indicators and calendar anomalies using advanced Machine Learning techniques.

Geo Coverage

Africa (58)
Algeria
Angola
Benin
Botswana
Burkina Faso
Burundi
Cabo Verde
Cameroon
Central African Republic
Chad
Comoros
Congo
Congo (Democratic Republic of the)
Côte d'Ivoire
Djibouti
Egypt
Equatorial Guinea
Eritrea
Ethiopia
Gabon
Gambia
Ghana
Guinea
Guinea-Bissau
Kenya
Lesotho
Liberia
Libya
Madagascar
Malawi
Mali
Mauritania
Mauritius
Mayotte
Morocco
Mozambique
Namibia
Niger
Nigeria
Réunion
Rwanda
Saint Helena, Ascension and Tristan da Cunha
Sao Tome and Principe
Senegal
Seychelles
Sierra Leone
Somalia
South Africa
South Sudan
Sudan
Swaziland
Tanzania, United Republic of
Togo
Tunisia
Uganda
Western Sahara
Zambia
Zimbabwe
Asia (51)
Afghanistan
Armenia
Azerbaijan
Bahrain
Bangladesh
Bhutan
Brunei Darussalam
Cambodia
China
Cyprus
Georgia
Hong Kong
India
Indonesia
Iran (Islamic Republic of)
Iraq
Israel
Japan
Jordan
Kazakhstan
Korea (Democratic People's Republic of)
Korea (Republic of)
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Lebanon
Macao
Malaysia
Maldives
Mongolia
Myanmar
Nepal
Oman
Pakistan
Palestine, State of
Philippines
Qatar
Saudi Arabia
Singapore
Sri Lanka
Syrian Arab Republic
Taiwan, Province of China
Tajikistan
Thailand
Timor-Leste
Turkey
Turkmenistan
United Arab Emirates
Uzbekistan
Vietnam
Yemen
Europe (51)
Åland Islands
Albania
Andorra
Austria
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Czech Republic
Denmark
Estonia
Faroe Islands
Finland
France
Germany
Gibraltar
Greece
Guernsey
Holy See
Hungary
Iceland
Ireland
Isle of Man
Italy
Jersey
Latvia
Liechtenstein
Lithuania
Luxembourg
Macedonia (the former Yugoslav Republic of)
Malta
Moldova (Republic of)
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Serbia
Slovakia
Slovenia
Spain
Svalbard and Jan Mayen
Sweden
Switzerland
Ukraine
United Kingdom
North America (13)
Belize
Bermuda
Canada
Costa Rica
El Salvador
Greenland
Guatemala
Honduras
Mexico
Nicaragua
Panama
Saint Pierre and Miquelon
United States of America
Oceania (25)
American Samoa
Australia
Cook Islands
Fiji
French Polynesia
Guam
Kiribati
Marshall Islands
Micronesia (Federated States of)
Nauru
New Caledonia
New Zealand
Niue
Norfolk Island
Northern Mariana Islands
Palau
Papua New Guinea
Pitcairn
Samoa
Solomon Islands
Tokelau
Tonga
Tuvalu
Vanuatu
Wallis and Futuna
South America (42)
Anguilla
Antigua and Barbuda
Argentina
Aruba
Bahamas
Barbados
Bolivia (Plurinational State of)
Bonaire, Sint Eustatius and Saba
Brazil
Cayman Islands
Chile
Colombia
Cuba
Curaçao
Dominica
Dominican Republic
Ecuador
Falkland Islands (Malvinas)
French Guiana
Grenada
Guadeloupe
Guyana
Haiti
Jamaica
Martinique
Montserrat
Paraguay
Peru
Puerto Rico
Saint Barthélemy
Saint Kitts and Nevis
Saint Lucia
Saint Martin (French part)
Saint Vincent and the Grenadines
Sint Maarten (Dutch part)
Suriname
Trinidad and Tobago
Turks and Caicos Islands
Uruguay
Venezuela (Bolivarian Republic of)
Virgin Islands (British)
Virgin Islands (U.S.)

Data Sources & Collection

The Brain datasets aimed at the financial sector industry are the results of Brain proprietary analytics models.

Key Differentiators

Brain has developed a scientific and rigorous approach based on our years of research and our experience implementing statistical models in state-of-the-art software.

Brain approach try to be as rigorous as possible in our models, which is especially important in extracting information from financial time-series data, where the signal to noise ratio is very low and overfitting risk is very relevant in validating meaningful signals.

Integrations

Logo of Bloomberg Enterprise Access Point integration
Logo of Crux Informatics integration
Logo of Intrinio integration
Logo of Open:FactSet Marketplace integration

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