Sentence examples for market data with from inspiring English sources

As part of the advanced package, Euclid integrates their own market data with that of the retailer to add more contextual information.

There was more good news in today's labour market data with employment continuing to rise strongly in the three months to August, and unemployment, particularly for young people, remaining on a downward trend.

This weakness of the market suggests to enrich financial market data with data coming from other, complementary, sources.

They use aggregate labor market data with region-time variation, while our analysis is based on rich micro-data on labor market outcomes.

The race was on to leverage new computing platforms and combine market data with complex algorithms to create new financial products and trading strategies.

The previous result can be used to combine market data with tweet data, assuming that the former represent "data" and the latter "prior information" in a Bayesian prior-to posterior analysis.

Unlike consumer reporting agencies, which are required by the federal Fair Credit Reporting Act to show consumers free copies of their credit reports every 12 months and let them correct errors, information resellers like Acxiom aren't required to share marketing data with consumers and allow corrections.

As the proposed method is data-independent, it can be applied in general by a trader who would select other pairs of stock-market data with similar volatility and that are typically highly correlated.

That excessive concentration is in direct conflict with both the need of software engineers to pick best-of-breed services and the need of mobile OS owners to avoid sharing local marketing data with their competition.

This year, however, Adobe also introduced Sensei, its new artificial intelligence- and machine learning-based platform that combines Adobe's knowledge of working with photos, videos, documents and marketing data with a unified AI and machine learning framework.

In this paper we propose how to select and model semantic based tweet data, so to compare and integrate them with market data, within the framework of graphical network models.