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.
Our Data Partners
TopStonks: Social Buzz and Sentiment from the Most Popular Stock and Crypto Trading Forums
by Topstonks
500K comments
USA covered
2 years of historical data
TopStonks saves investors time by summarizing the conversation on alternative stock forums, and surfacing the best signals. We have been structuring, and pre...
Option Skew and price compression for stocks and indexes - tickerized by Trading Volatility
by Trading Volatility
1.15K Securities
2 countries covered
24 months of historical data
Trading Volatility's daily measurements of options skew, price compression, and option put/call ratios for evaluation of sentiment within the U.S. equity opt...
Gamma Exposure (GEX) measurement of US companies and indexes - tickerized by Trading Volatility
by Trading Volatility
1.15K Securities
2 countries covered
24 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 ...
99.9% individual trades on the market
198 countries covered
10 years of historical data
Count is a trading metric allowing to identify traffic and trading structure when used alongside VWAP and OHLCV. It allows users who are not keen / equipped ...
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.
Pre & Post Trade Analytics Widget & Web Apps
by Cryptoquote
15 Terabits
249 countries covered
5 years of historical data
Cryptoquote Analytics APIs, Widgets and Web Apps add actionable data to your website, exchange or software
Modules Include:
Chart pattern recognition
T...
QueXopa
Based in Panama
QueXopa® is an Alternative Data provider that finds, sources and aggregates the data that fuels decision makers in all areas of government, finance and indus...
Access to Emerging Markets
GDPR, LGPD Compliant
Users in Brazil & Mexico
Cryptoquote
Based in USA
Cryptoquote platform aggregates and processes real-time streaming L1/L2 price data and applies advanced analytics calculation engine to our database in order...
Cryptocurrency pairs
Historical Database
Level 1 & 2
FinPricing
Based in Canada
FinPricing provides highly accurate global financial market data from real time to historical via GUI and API. The data are collected from various sources, i...
Historical
Curve tenors
Interest rate coverage
Finage
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...
Up-Time
<1ms
Requests
B2Broker
Based in Russia
B2Brоkеr offers solutions for established companies to increase and optimize their workflows and help new brоkеrs to build their businesses.
Goldbaum
Based in Luxembourg
Our API feeds packages of 100% accurate, system-ready, and up-to-date datasets and analytics (e.g. fund, market, index, ESG and smart) for ETFs/ETPs/ETCs and...
Increase in Data Productivity
Accuracy
ROI
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.