What is Trading Data? Examples, Providers & Datasets to Buy

How is Trading Data Collected?

Trading data is typically collected from stock exchanges such as the New York Stock Exchange (NYSE) or NASDAQ. This can be a useful source for trades that are made over the listed exchanges and can provide many different data poitns, such as trade prices and times.

However, some trades are unlisted, such as OTC trades, meaning they do not take place on the formal stock exchange. Information about these is harder to collect, but can be found in announcements and reports from the brokers and buyers themselves or from public records.

What Are the Attributes of Trading Data?

How Can I Assess the Quality of Trading Data?

Due to the quickly evolving nature of the stock market, the best trading datasets will provide information which is constantly and consistently updated to match this. Investors and brokers need information that is accurate and up-to-date and the highest quality trading datasets will match this need.

It is equally important to ensure that the trading dataset provides historical information so you can perform market analysis and identify market trends in order to make the most well-informed deals when it comes to the stock market and trading.

Where Can I Buy Trading Data?

You can explore our data marketplace to find a variety of Trading Data tailored to different use cases. Our verified providers offer a range of solutions, and you can contact them directly to discuss your specific needs.

How is the Quality of Trading Data Maintained?

The quality of Trading Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.

How Frequently is Trading Data Updated?

The update frequency for Trading Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.

Is Trading Data Secure?

The security of Trading Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.

How is Trading Data Delivered?

Trading Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Trading Data.

How Much Does Trading Data Cost?

The cost of Trading Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Trading Data for your needs.

What Are Similar Data Types to Trading Data?

Trading Data is similar to other data types, such as Proprietary Market Data, Indices Data, Stock Fundamental Data, Intraday Stock Data, and Stock Price Data. These related categories are often used together for applications like Hedge Funds and Trading.