Financial Data

Data quality is more than ever a crucial issue. Financial applications are increasingly sensitive to data outliers, and any errors in data due to misquoted prices or incorrect decimal positioning can be magnified, particularly in risk management calculations. The existence of outliers in financial data can distort computations and give an incorrect picture of the past performance of financial products and trading models.

OANDA has invested heavily in research and development to ensure high-quality data for its forecasting and trading applications. The result is an impressive array of reliable filtering algorithms that analyze time series to produce rigorously cleansed datasets. Today, customers all over the world depend on this data to attain excellence for their clients in risk management and financial research.

OANDA provides companies with filtered quote prices for currency localization on their web sites and portfolio management, tailored to the customer's requirements. The service offers a range of high-quality market data for thousands of instruments, including money market rates, FX, interest rates, volatility forecasts and yield curves. Data can be customized and easily integrated into risk management systems and software. Additionally, the service could provide customers with tick-by-tick quotes of implied volatilities of foreign exchange rates for a period of several years.

Reliability of Service
OANDA merges market data from several sources to ensure continuous and reliable service. Our database incorporates years of collected data, and has over 12 million prices for one exchange rate alone. Built-in redundancy in the computing environment guarantees the uninterrupted operation of real-time trading models at customer sites worldwide.

Features

• Flexible set of high-quality, customizable market data
• Data rigorously cleansed of outliers
• Extensive market coverage and history
• Rapid integration into risk management systems and software
• Customer can specify a given data format

For more information, please visit http://www.olsendata.com/ or contact us and complete our information request form.