Work More Powerfully and Efficiently with Refinitiv Tick History in Google Cloud Platform
Financial models don’t only need vast data; they also need deep past data to test historic scenarios. Learn how to derive quality insights with a smarter workflow so you can focus your time on formulating strategies instead of getting data ready for analysis. Register for Query-ready: Tick History data at your fingertips with Google Cloud Platform now.
Why should I attend?
This on-demand webinar is valuable for anyone in financial markets that works with historical pricing data. It will teach you how to access the full depth and breadth of Tick History data using Google Cloud Platform. Whether you’re a quant trying to uncover new opportunities, a trader pursuing strategies for alpha and best execution, or a risk manager striving to streamline compliance, Tick History in GCP delivers faster results for an improved workflow.
Serving more than 40,000 institutions in approximately 190 countries, Refinitiv provides information, insights and technology that drive innovation and performance in global financial markets. Our heritage of integrity enables our customers to make critical decisions with confidence while our best-in-class data and cutting-edge technologies enable greater opportunity.
We enable the financial community to trade smarter and faster, overcome regulatory challenges, and scale intelligently. Data is just the beginning.
By combining over 160 years of Reuters heritage with the latest technology and industry innovation, we’re blending our history with the future to create opportunity from change.
High-performance products are powered by high-performance people. We’re building a culture that values pushing boundaries together and taking ownership and action.
The greatest driver of innovation is freedom of access – to the best data, smart tools and human expertise. That’s why we invest in our community-driven open platform – to break down barriers and create choice.
Refinitiv™ Labs collaborate with customers around the world to solve big problems and rapidly prototype and validate solutions using data science and lean techniques.