big xyt, the independent provider of high-volume, smart data and analytics capabilities is pleased to announce the launch of www.250days.com, a collection of views reflecting the evolving market dynamics over the past year.The new site leverages the Liquidity Cockpit, the industry recognised reference for independent market structure analysis, and has been created in response to multiple client requests. Visitors will have access to annotated visualanalysis of the fragmented European equity trading landscape leading up to and during 2018.
Mark Montgomery, Head of Strategy & Business Development at big xyt said, Following the interest we received from our Twelve Days of Trading series, we have created a new environment telling the story of 2018 including the impact of MiFID II and emerging trends. Adding, Allowing for weekends and holidays, there are approximately 250 trading days each calendar year. Looking at a single day in isolation is only one page in a story. It is only when we combine the pages and chapters that the full narrative emerges.
A simple complimentary log-in gives members of the investment community access to these chapters telling the evolving equity market structure story during 2018. Users can access multiple views within a range of Liquidity Cockpit dashboards that will initially focus on Liquidity Trends.The site will be updated regularly to provide evolving views based on user requests.
In the next few weeks the metrics will be extended to include Block Trading Volumes, Systematic Internalisers, Impact of Double Volume Caps, Equity Spreads and ETF Spreads.The order of release will be determined by an on-line reader poll.
Robin Mess, CEO at big xyt commented, Celebrating our 5th year as an independent provider of analytics we take great pride in providing solutions to the complex challenges of data analysis. Navigating in fragmented markets remains a challenge for all participants. He continued We recognise that the investing community needs information analysis, in an easily digested format, to support a rapidly growing number of use cases, and expects continued innovation as the volume of data and related complexity continues to increase.
