Yacodata
Verified Data Provider
Optimized for quick response
Yacodata Data Products: APIs & Datasets
Yacodata: S&P 500 Companies Data (up-to-date intelligence on US largest 500 companies)
Yacodata: US historical stock markets data (listed equities, updated daily)
Yacodata: Core US Equities Fundamentals Data (20 years historical coverage)
Yacodata Pricing & Cost
Buyers can either subscribe to our products either by one-time payment or monthly subscription depending on the type of the dataset.
Yacodata Reviews
Your Review
There are not enough reviews and ratings for Yacodata at the moment. Have you worked with Yacodata? You can help other data professionals better understand Yacodata’s data products and services by leaving a review now.
By submitting this review, you agree to Datarade's Terms & Conditions and Privacy Policy.
Yacodata Competitors & Alternatives
Cbonds
We use the Cbonds API and are very satisfied with the data quality and the interface. Everything works smoothly, and the support has been reliable. We appreciate the service and look forward to continuing our cooperation.
Intrinio
Techsalerator
Best service, must use!! Helped me generate a lot! Thank you so much for your outstanding work!! Will definitely recommend to my fellow workers and friends!!
Exchange Data International
About Yacodata
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.
Country Coverage
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.
Featured in
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.
Related Searches
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.
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, Financial Data, B2B Contact Data, Stock Fundamental Data, and 3 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.