Trading
Trading refers to buying and selling of stocks, contracts, or commodities through an exchange. Data on stock prices and other market indictors is often used by investors to make their decisions. Done correctly, use of data helps increase ROI and lowers risk on investments.
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Gamma Exposure (GEX) measurement of US companies and indexes - tickerized by Trading Volatility
by Trading Volatility
750 Securities
2 countries covered
18 months of historical data
Trading Volatility's daily measurements consist of Naive Gamma Exposure and Skew-Adjusted Gamma Exposure for understanding of option-driven trading flows in ...
5 TB
198 countries covered
10 years of historical data
Trade Data is a general term for tick-by-tick data, or all executed transactions occurring on an exchange. Our trade datasets consist of all tick-by-tick tra...
Cryptrata Crypto Trade Data | Binance Coin - USD - All Historic Trades, Tick by Tick (BNB / USDT)
by Cryptrata
200M Trades and counting
100% Gapless Binance Trade History until yesterday
249 countries covered
All historic aggregates trades for the BNB-USDT pair from the Binance exchange, tick by tick until yesterday.
Other trade pairs on request.
Exchange Data International
Based in United Kingdom
With EDI you get high quality, affordable financial data customized to precisely fit your operational requirements.
Certified
Certified
Intrinio
Based in USA
Intrinio is a financial data partner powering innovators at financial institutions, startups, and universities by delivering high-quality data through cuttin...
Wult.io
Based in Denmark
We provide companies with an advanced data collection and enrichment tool. We have a number of predefined and collected datasets or you can define you own ba...
Frequently Asked Questions about Trading
Learn everything about Trading. Understand data sources, popular use cases, and data quality.
What is data-driven trading?
Data-driven trading means the selling and buying of assets based on insights from big data. Many events like stock price fluctuations, and overall market movements can be predicted with the right insights from the market.
Why use data in trading?
Data is being used in trading strategies to mitigate risks and identify profitable investment opportunities. It helps investors make predictions about the market and identify assets that are undervalued in potential.