Velocimetrics Taps Machine Learning for Automated Data Quality Analytics
The platform will undertake calculations to define what constitutes "normal" activity, and when abnormal activity impacts market quality.
MDQ will enable clients to detect and receive alerts on market data quality issues, providing real-time actionable insights at the individual instrument and field level. MDQ triggers the alerts if price volatility or the time between ticks exceeds normal expectations, or if the bid or offer price stops ticking, allowing users to immediately access actionable insight and quickly stem the flow of stale data to algorithmic trading systems. This will help users avoid off-market pricing or flawed
Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.
To access these options, along with all other subscription benefits, please contact info@waterstechnology.com or view our subscription options here: http://subscriptions.waterstechnology.com/subscribe
You are currently unable to print this content. Please contact info@waterstechnology.com to find out more.
You are currently unable to copy this content. Please contact info@waterstechnology.com to find out more.
Copyright Infopro Digital Limited. All rights reserved.
As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (point 2.4), printing is limited to a single copy.
If you would like to purchase additional rights please email info@waterstechnology.com
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (clause 2.4), an Authorised User may only make one copy of the materials for their own personal use. You must also comply with the restrictions in clause 2.5.
If you would like to purchase additional rights please email info@waterstechnology.com
More on Trading Tech
BofA deploys equities tech stack for e-FX
The bank is trying to get ahead of the pack with its new algo and e-FX offerings.
Pre- and post-trade TCA—why does it matter?
How CP+ powers TCA to deliver real-time insights and improve trade performance in complex markets.
Driving effective transaction cost analysis
How institutional investors can optimize their execution strategies through TCA, and the key role accurate benchmarks play in driving more effective TCA.
As NYSE moves toward overnight trading, can one ATS keep its lead?
An innovative approach to market data has helped Blue Ocean ATS become a back-end success story. But now it must contend with industry giants angling to take a piece of its pie.
BlackRock, BNY see T+1 success in industry collaboration, old frameworks
Industry testing and lessons from the last settlement change from T+3 to T+2 were some of the components that made the May transition run smoothly.
Banks seemingly build more than buy, but why?
Waters Wrap: A new report states that banks are increasingly enticed by the idea of building systems in-house, versus being locked into a long-term vendor contract. Anthony explores the reason for this shift.
The Waters Cooler: ‘Tis (almost) the season
Outer-space datacenters, a bumper week for data product announcements … and did I mention that I sing?
T+1 shift sees out-of-hours human resourcing costs spike by as much as 20%
New research finds that trading firms are experiencing increased labor costs—which could be a boon for outsourced trading.
