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39 Results - Exchange Data International profile banner
Exchange Data International
Based in United Kingdom
Exchange Data International
With EDI you get high quality, affordable financial data customized to precisely fit your operational requirements.
Certified - Finage profile banner
Based in United Kingdom
Finage is a real-time stock, currency and cryptocurrency data provider company via API, WebSocket & Widgets. Easy, secure and affordable way to build financi...
Requests - TraderMade profile banner
Based in United Kingdom
TraderMade Is a Market-Leading Vendor of Data, Analytics & Charting Applications Within The Financial Markets.
with 99.9% uptime
Institutional clients
50+ years in-house experience - New Change FX profile banner
New Change FX
Based in United Kingdom
New Change FX
New Change FX is an award winning fintech company. We are an official regulated Benchmark Administrator. We specialise in delivering price transparency t...
ESMA/FCA Regulated Benchmarks
50 M/s
Per Currency/FX Benchmarks
1.728 Mio
Per Day / Currency Pair - 37AUSTEN profile banner
Based in United Kingdom
37AUSTEN is a SAAS startup focused on financial risk management. We have created a suite of forecasting algorithms that predict market volatility in real-time. - HSAT profile banner
Based in Norway
HSAT is a data provider offering Agricultural Data, Construction Project Leads Data, and Trading Data. They are headquartered in Norway.

The Ultimate Guide to Trading Data 2021

Learn about trading data analytics, sources, and collection.

What is Trading Data?

Trading data is a sub-category of financial market data. It provides real-time information about the latest stock and market prices as well as giving data about historical trends for assets such as equities, fixed-income products, currencies and derivatives. Trading data also includes information about trades that have been made, both historically and over the course of a trading day, such as the latest bid, asking price and time of the last trade that was made.

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?

Typically a trading dataset will provide information about trades that are made over the course of the day. This includes various different details about the trades, such as the bid, bid size and ask size. This information is known as quote data.

Another attribute is information about recent sales, such as the latest sale of the size of the asset sold as well as the exact time the trade was made. A trading dataset will also tell you which exchange the trade was made on, such as the NYSE or NASDAQ. This information is called trade data.

A trade dataset will also often include historical trade data, such as trades that were made on the same exchange or that relate to similar commodities. This information is useful for identifying market trends and market predictions.

What is Trading Data used for?

Investors and traders rely heavily on trading data to inform their trading decisions. They use current market rates and historical data in conjunction to predict the most successful trades that will generate the highest amount of profit.

Market research agencies also use trading data to carry out market data analytics. This can be sold on to traders and investors who trade without brokers and don’t enter the financial and stock market data themselves. Market research agencies use trading data to compile useful reports that can be used to make well-informed trading decisions.

In-house analysts rely on trading data to forecast how the stock market may change in the future. They then pass this information on to investments and traders who will have hired them to do the research on their behalf.

How can a user 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.

Who are the best Trading Data providers?

Finding the right Trading Data provider for you really depends on your unique use case and data requirements, including budget and geographical coverage. Popular Trading Data providers that you might want to buy Trading Data from are Exchange Data International, Finage, TraderMade, New Change FX, and 37AUSTEN.

Where can I buy Trading Data?

Data providers and vendors listed on Datarade sell Trading Data products and samples. Popular Trading Data products and datasets available on our platform are Danel Capital⎢Technicals Score (over 700 Data Points)⎢Trading Data (Europe & USA) by Danel Capital, Risklio Event-Aware Trading Insights | US Stock Sentiment & Equity Market Insights by Risklio, and TraderMade Premium FX Data Feed by TraderMade.

How can I get Trading Data?

You can get Trading Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Trading Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Trading Data APIs, feeds and streams to download the most up-to-date intelligence.

What are similar data types to Trading Data?

Trading Data is similar to Stock Market Data, Alternative Data, ESG Data, Merger & Acquisition Data, and Proprietary Market Data. These data categories are commonly used for Hedge Funds and Investing.

What are the most common use cases for Trading Data?

The top use cases for Trading Data are Hedge Funds, Investing, and Trading.