What is Trading Data? Examples, Providers & Datasets to Buy
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
What is Trading Data?
Trading data is a sub-category of financial market data. It provides real-time information about stock and market prices as well as historical trends for assets such as equities, fixed-income products, currencies and derivatives. Trading data also includes information about trades historically and over the course of a trading day, such as the latest bid, asking price and time of the last trade.
What Are Examples of Trading Data?
Examples of trading data include datasets offering insights into market dynamics and trading activities. Key examples include:
- Price Data: Real-time and historical prices of stocks, commodities, and currencies.
- Volume Data: Details on traded quantities within specific timeframes.
- Order Book Data: Insights into buy and sell orders at different price levels.
- Market Timestamps: Precise timing of trades and market events.
- Volatility Metrics: Measures of price fluctuations over time.
Best Trading Databases, Datasets & API
The best trading datasets provide detailed price, volume, and order book information to optimize trading strategies and market analysis. This curated list features the top trading datasets and APIs, selected for accuracy, quality, and trusted providers where you can buy trading data.
Import/Export Trade Data in Europe
Crypto Trade Data - Real-Time & Historical trading data from 350+ Exchanges | CEX & DEX | Trade-by-Trade Data
Asian Continent (51 Countries) Detailed Customs Data | Trade Activities Insights | Trade data API | Supply Chain Analysis
Import Export Data | Import, Export & Trade Professionals in Asia | Verified Global Profiles from 700M+ Dataset | Best Price Guarantee
Trade Areas Mobility Data | where consumers travel to and from|
Global Insider Trading Data | 25+ Years Historic Data | 55,000 Companies | 67 Countries | Public Equity Market Data for Investment Management
Bitcoin Price Data - Kaiko Market Data. CeFi & DeFi | Historical and real-time Bitcoin prices | OHLCV | Trading volume | VWAP
Foreign Trade Market Stats & Analytics by PREDIK Data-Driven
Telemarketing Data | Global Coverage | +95% Email and Phone Data Accuracy
Derivatives Reference Data | up-to-date exchange traded Futures and Options
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Top Trading Data Providers & Companies
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Exchange Data International
CoverageUSAUK+248With EDI you get high quality, affordable financial data customized to precisely fit your operational requirements.ISO9001CertifiedISO27001Certified1.5 mSecurities -
OptionMetrics
CoverageUSAUK+63With 25 years as the premier provider of historical options and implied volatility data, OptionMetrics distributes its options, futures, beta, and dividend forecast databases to leading portfolio managers, traders, and quantitative researchers at 350+ corporate and academic institutions worldwide.350+Institutions and Universities -
Smart Insider
CoverageUSAUK+247Smart Insider: Global leader in Insider Data. We cover 90% of global market cap for over 55,000 listed stocks. Our investment-grade data, scrutinised by our analysts, ensures accuracy, and includes derived fields for in-depth analysis, on insider trades, corporate buybacks, and director changes.95%Global Coverage25 yearsHistoric DataReal TimeData Reporting
Popular Use Cases for Trading Data
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.
Main Attributes of Trading Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | The name of a company or business, might be the legal or brand name. | View 39 datasets | |
| String | The ticker symbol of a stock. | View 32 datasets | |
| String | The country code in Alpha-2 format (ISO 3166) | View 25 datasets | |
| Float | The latitude of a point on earth's surface. Commonly abbreviated as "lat". | View 24 datasets | |
| String | Mobile Ad ID is a sequence of random symbols, given by the mobile device’s operating system. It’s shared with the servers of the apps that the user is using to track his customer journey and “remember” his or her choices. | View 19 datasets | |
| String | The name of a country. | View 18 datasets |
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?
| Attribute | Description | Use Case |
|---|---|---|
| Quote Data | Details about bids, bid sizes, and ask sizes for assets. | Used to analyze market depth and trading opportunities. |
| Trade Data | Information on recent sales, including size, price, and time. | Tracks transaction details and trading activity. |
| Exchange Data | Identifies the exchange where the trade occurred (e.g., NYSE). | Provides insights into exchange-specific performance. |
| Historical Data | Past trades on the same exchange or similar assets. | Helps identify trends and predict future market behavior. |
| Timestamp Data | Exact time of trade execution. | Enables precise analysis for algorithmic trading. |
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.
Frequently Asked Questions
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.
