big xyt Launches Platform to Provide Visibility on Market Dynamics

The provider of high-volume smart data and Analytics Analytics Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision making. In the trading space, analytics are applied in a predictive manner in an attempt to more accurately forecast the price. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analyt Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision making. In the trading space, analytics are applied in a predictive manner in an attempt to more accurately forecast the price. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analyt Read this Term big xyt has announced the launch of a new platform - 250days.com - to provide visibility on the market dynamics of the European equity trading.

The platform was launched amid massive market demand and is based on Liquidity Liquidity The term liquidity refers to the process, speed, and ease of which a given asset or security can be converted into cash. Notably, liquidity surmises a retention in market price, with the most liquid assets representing cash.The most liquid asset of all is cash itself.· In economics, liquidity is defined by how efficiently and quickly an asset can be converted into usable cash without materially affecting its market price. · Nothing is more liquid than cash, while other assets represent The term liquidity refers to the process, speed, and ease of which a given asset or security can be converted into cash. Notably, liquidity surmises a retention in market price, with the most liquid assets representing cash.The most liquid asset of all is cash itself.· In economics, liquidity is defined by how efficiently and quickly an asset can be converted into usable cash without materially affecting its market price. · Nothing is more liquid than cash, while other assets represent Read this Term Cockpit, the firm’s proprietary platform to provide a consolidated view across all European trading venue activity. After its launch in 2017, major firms like CBOE Europe Equities and Societe Generale partnered with big xyt to leverage its Liquidity Cockpit for visibility over dark and lit liquidity.

Commenting on the development, Mark Montgomery, head of strategy and 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.”

“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,” he added.

According to the announcement, the new platform will be complementary to the existing customers of the company. The platform will support a range of Liquidity Cockpit dashboards including the liquidity trends of the market.

Extending Support

In addition, the company is planning to extend the metrics to include block trading volumes, systematic internalizers, impact of double volume caps, equity spreads, and ETF spreads.

“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,” said Robin Mess, CEO at big xyt. “We recognize 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.”