Yacodata

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30M
Records
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Financial
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Yacodata Data Products: APIs & Datasets

Explore Yacodata’s datasets, databases, and data feeds.
Our data offer consists of financial market data feeds from US listed equities from NYSE, NASDAQ and AMEX, the dataset covers: • Open,...
Yacodata: US historical stock markets data (listed equities, updated daily)  500K records icon
500K records
Yacodata: US historical stock markets data (listed equities, updated daily)  99.99% accuracy icon
99.99% accuracy
Yacodata: US historical stock markets data (listed equities, updated daily)  USA covered icon
USA covered
Yacodata: US historical stock markets data (listed equities, updated daily)  22 years of historical data icon
22 years of historical data
Updated daily, this database provides up to 20 years of history, for 70 essential fundamental indicators and financial ratios, for more t...
Yacodata: Core US Equities Fundamentals Data (20 years historical coverage) 5M records icon
5M records
Yacodata: Core US Equities Fundamentals Data (20 years historical coverage) 99.99% accuracy icon
99.99% accuracy
Yacodata: Core US Equities Fundamentals Data (20 years historical coverage) USA covered icon
USA covered
Yacodata: Core US Equities Fundamentals Data (20 years historical coverage) 20 years of historical data icon
20 years of historical data
Five hundred largest companies listed in US exchanges , commonly known as companies of the S&P500.
Yacodata: S&P 500 Companies Data (up-to-date intelligence on US largest 500 companies)  505 records icon
505 records
Yacodata: S&P 500 Companies Data (up-to-date intelligence on US largest 500 companies)  100% m icon
100% m
Yacodata: S&P 500 Companies Data (up-to-date intelligence on US largest 500 companies)  USA covered icon
USA covered
Yacodata: S&P 500 Companies Data (up-to-date intelligence on US largest 500 companies)  6 years of historical data icon
6 years of historical data

Yacodata Pricing & Cost

Learn about Yacodata’s prices, subscription cost, and API pricing.

Buyers can either subscribe to our products either by one-time payment or monthly subscription depending on the type of the dataset.

Yacodata’s APIs and datasets range in cost from $20 / purchase to $1,300 / year. Yacodata offers free samples for individual data requirements. Get talking to a member of the Yacodata team to receive custom pricing options, information about data subscription fees, and quotes for Yacodata’s data offering tailored to your use case.

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About Yacodata

Learn more about Yacodata’s data sources, use cases, and integrations.

Yacodata in a Nutshell

Provides and analyses data. Build machine learning models.
Data Distribution Services: We provide relevant data for your needs - no software, hardware or fetching skills need - we do the job as you request.
Data API requests: We build custom APIs for websites having a rate-limited or data-limited APIs so that you can use the data in your applications.
Data analysis: Gain powerful insight metrics with your data and improve performance indicators.
Machine Learning Solutions: We build machine learning models based the data we gather for you, so you can build a powerful decision-making process.

Headquarter
Morocco

Geo Coverage

North America (1)
United States of America

Data Offering

Yacodata is a a data service provider. We gather and analyse data for our customers responsibly. We only provide the technologies and data pipes in order to offer publicly or privately acquired data.

Use Cases

We use datasets to build machine learning models in order to build a well-diversified portfolio from the current market conditions. Our solution defines state of market conditions such as favorable or very unfavorable or unfavorable to the desired strategy. It uses a random historical approach from thousandths of backtested portfolios against the benchmark.

The solution is a scalable, short-term or long-term and adaptable portfolio building and management tool.

The model uses assets allocation in order to maximize the best return and reduce the risk. The model then evaluates current market conditions and predicts the best assets allocation scenario which aims to give the user the best decision.

Data Sources & Collection

Our data offer consists of financial market data feeds from US listed equities from NYSE, NASDAQ and a collection of continuous future contracts from various exchanges such as: CBOE, CME, ICE, EUREX, LIFFE, SHFE.

Key Differentiators

• Open, Close, Adjusted close, low, high and volume of equities.

• Trade Date, contract name, open, high, low, close, settle, change, total Volume, EFP and open Interest for future contracts.

• Equities fundamentals data such as institutional holding, short interest and insider activity.

• Equities and futures statistics such alpha, beta, cumulative return, volatility or correlation to benchmark.

• Continuous futures contracts which are built contracts by combining single future contracts aiming to create a single long-term data feed.

Data Privacy

“Personal information” means either of the following: (A) An individual’s first name or first initial and his or her last name in combination with any one or more of the following data elements, when either the name or the data elements are not encrypted or redacted: (i) Social security number; (ii) Driver’s license number or state identification card number; (iii) Account number, credit or debit card number, in combination with any required security code, access code, or password that would permit access to an individual’s financial account; (iv) Medical information; (v) Health insurance information; (vi) Automobile insurance information; (vii) Vehicle Identification Number (“VIN”); (B) A username or email address in combination with a password or security question and answer that would permit access to an online account. “Personal information” does not include publicly available information.

GDPR compliant

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Frequently asked questions about Yacodata

What does Yacodata do?

Data Distribution Services: We provide relevant data for your needs - no software, hardware or fetching skills need - we do the job as you request. Machine Learning Solutions: We build machine learning models based the data we gather for you, so you can build a powerful decision-making process.

How much does Yacodata cost?

Yacodata’s APIs and datasets range in cost from $20 / purchase to $1,300 / year. Yacodata offers free samples for individual data requirements. Get talking to a member of the Yacodata team to receive custom pricing options, information about data subscription fees, and quotes for Yacodata’s data offering tailored to your use case.

What kind of data does Yacodata have?

Stock Market Data, B2B Contact Data, Stock Fundamental Data, Stock Price Data, and 4 others

What data does Yacodata offer?

Yacodata is a a data service provider. We gather and analyse data for our customers responsibly. We only provide the technologies and data pipes in order to offer publicly or privately acquired data.

How does Yacodata collect data?

Our data offer consists of financial market data feeds from US listed equities from NYSE, NASDAQ and a collection of continuous future contracts from various exchanges such as: CBOE, CME, ICE, EUREX, LIFFE, SHFE.

What’s Yacodata’s data privacy policy?

“Personal information” means either of the following: (A) An individual’s first name or first initial and his or her last name in combination with any one or more of the following data elements, when either the name or the data elements are not encrypted or redacted: (i) Social security number; (ii) Driver’s license number or state identification card number; (iii) Account number, credit or debit card number, in combination with any required security code, access code, or password that would permit access to an individual’s financial account; (iv) Medical information; (v) Health insurance information; (vi) Automobile insurance information; (vii) Vehicle Identification Number (“VIN”); (B) A username or email address in combination with a password or security question and answer that would permit access to an online account. “Personal information” does not include publicly available information.

What are the best use cases for Yacodata’s data?

We use datasets to build machine learning models in order to build a well-diversified portfolio from the current market conditions. Our solution defines state of market conditions such as favorable or very unfavorable or unfavorable to the desired strategy. It uses a random historical approach from thousandths of backtested portfolios against the benchmark. The solution is a scalable, short-term or long-term and adaptable portfolio building and management tool. The model uses assets allocation in order to maximize the best return and reduce the risk. The model then evaluates current market conditions and predicts the best assets allocation scenario which aims to give the user the best decision.