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TradingTech Insight Webinars
Recorded Webinar: Market Data in the Cloud: Fuelling the next generation of data delivery solutions
Moving market data and infrastructure to the cloud has accelerated in recent years as financial firms have acknowledged the benefits of data accessibility, scalability, efficiency and the possibility of reducing sometimes sky-high costs of sourcing and managing the data. Market data in the cloud also offers a low-cost development environment and is finding use case...
Recorded Webinar: How to make the most of market data
Market data means different things to different organisations, it can be extremely expensive, and often comes with limited licensing contracts. It must be carefully sourced, governed, quality checked, and integrated. And it must be fit for purpose across a number of applications as it is increasingly used to not only meet regulatory obligations, but also...
Recorded Webinar: Modernising Legacy Data Infrastructure to Create Agile and Accessible Digital Platforms
In a highly competitive trading environment with little room for manoeuvre, financial institutions are looking to move on from legacy data infrastructure and build proprietary high-speed, low-latency trading systems offering agility, accelerated time-to-market, and potentially, competitive advantage. This is a sizeable undertaking and a shift from dependence on third-party trading services and solutions that has...
Recorded Webinar: Transforming Data Experiences in Quantitative Research and Trading
For quantitative researchers and quant trading teams at banking and capital markets firms, the ability to access, integrate, and share data is critical. Data and how teams collaborate with data underpins the ability to generate alpha, perform execution analyses, and provide a modern and differentiated client experience. However, for most banks, legacy technology stacks and...
Recorded Webinar: Market data in the cloud
Over the past several years, the topic of market data in the cloud has been hotly debated – latency has been an issue, which data to put in the cloud has been discussed, and lines have been drawn. But where are we now, and how have the lines been redrawn? This webinar will consider progress...
Recorded Webinar: High-performance, real-time multi-stream data processing for trading analytics and risk management
Financial analytics platforms in Hedge Funds are often segmented between real-time and back-office analytics systems fed by slower batch processes. To support winning analytics, hedge funds and other trading firms need to bring together real-time streams with historical analytic data in a single high-performance data store to refresh reports and risk models in near-real-time. Listen...
Recorded Webinar: The challenges and potential of data marketplaces
Data is the lifeblood of capital markets. It is also a valuable commodity providing financial institutions with additional insight when gathered in an internal data marketplace, or packaged and sold externally to other institutions. While the theory is sound, the practice of setting up a data marketplace can be challenging. Internally, vast amounts of data...
Recorded Webinar: How to make outsourced infrastructure work for trading
Transitioning from in-house to outsourced trading infrastructure is a significant challenge, but it can offer sizeable benefits including reduced costs, improved performance, access to diverse liquidity sources, and ability to stay abreast of technology changes. This webinar will discuss practical approaches to planning and implementing outsourced infrastructure for trading, the potential of hybrid solutions, and...
Recorded Webinar: Adding cloud to your high performance trading infrastructure
Adding cloud to high performance trading infrastructure offers the benefits of scalability, faster development, and lower capex costs – but can it meet required speeds of data delivery, does it limit the extent of available data, and how can low-latency data be sourced in the cloud? Still more, is it feasible to run a complete...
Recorded Webinar: Best Practices for Building High-Performance Data Infrastructures
The requirement for high-performance data systems to support trading analytics for hedge funds, high-frequency trading firms and electronic liquidity providers is well established. But the explosion in Big Data over the past several years has expanded the scope of inputs being used by these firms. At the same time, cloud technologies have added complexity to...