The CME has been accused of misusing its power, after the exchange announced plans to start charging fees for data that had been free — including data that is in the public domain and for which they don’t own the copyright.
In addition, the CME wants to require redistributors to turn over details about their customers.
What effect will this have?
Higher market data costs for everyone, for a start.
This dramatic change from how other major exchanges around the world handle such data is being challenged, however.
Exchange Data International (EDI), is crying foul. EDI has written to the Commodity Futures Trading Commission (CFTC), the heads of the relevant Committees of the US House of Representatives, and the US Senate – which oversee the CFTC – requesting they investigate the CME’s plans to charge for what has always been a no-fee service. Legal advice taken by EDI views the CME’s new fee policies as illegal, anti-competitive, and extremely disruptive.
You can read more details here, then tell me what you think.
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BMLL Data Lab and Data Feed now available to US capital markets participants via DIH
London, Austin, TX (Nov. 12, 2020) — BMLL, the award-winning data and analytics provider, today announced a collaboration with Data In Harmony (DIH), a data provider and data consultancy covering global financial markets, to make BMLL’s Data Lab and Data Feed available to US-based market participants, helping them unlock the predictive power of order book data.
“BMLL has built what...market participants have wanted — access to Level 3 data and analysis tools without all the headaches (and costs) of maintaining such a large data set.”
The collaboration comes following the announcement in October 2020 that BMLL is now providing five years of granular, Level 3 order book data for US markets. This data gives systematic hedge funds, quants and algo traders the ability to gain insights, backtest their trading strategies over a sufficiently long time horizon to capture a wide spectrum of market scenarios and improve alpha generation.
The BMLL Data Lab takes BMLL’s granular Level 3 order book data and combines it with easy-to-use APIs and analytics libraries in a secure cloud environment, allowing quants to perform scalable research without the burden of data curation or engineering. The LAB seamlessly integrates with production tools and workflows, allowing users to efficiently turn research into actionable results.
The BMLL Data Feed provides users with the full power of the BMLL Data Lake and Data Lab’s analytics capabilities, delivered in the form of derived data feeds. BMLL’s Data Feeds are pre-computed from the most granular, full-depth order book data, giving participants actionable insight on the markets they trade. These analytics are used by leading buy-side and sell-side institutions as well as major exchange groups and trading venues to better understand and analyze trading behavior on their venues.
The distribution agreement with DIH brings BMLL’s data and analytics capabilities to US capital markets participants through DIH’s extensive network of buy-side players and service providers.
“We are excited to add BMLL’s Level 3 depth of book data solutions to our offering,” says Tom Myers, founder of DIH Solutions. “Prior to founding DIH, I spent a good part of my career providing high-frequency tick-by-tick data to the buy- and sell-side. However, depth of book data just wasn’t feasible to make commercially available given its storage challenges and the lack of tools available to analyze it. BMLL has built what I and so many market participants have wanted — access to Level 3 data and analysis tools without all the headaches (and costs) of maintaining such a large data set.”
DIH helps firms, including investment banks and hedge funds, to find and on-board the reliable financial and alternative data they need, helping them improve data quality and reduce data costs. In an environment of growing emphasis on data quality, and a push by management to hold down costs, DIH was founded to offer an alternative to legacy data vendors whose data is often incomplete and inaccurate, expensive and licensed under restrictive terms and conditions.
Paul Humphrey, CEO of BMLL Technologies, said: “We are delighted to collaborate with Data In Harmony and make our data and analytics available to clients and market participants via their US-based ecosystem. It is now more important than ever to harness the power of the full-depth order book and scalable cloud compute to provide relevant insights and deep analytics to our clients, helping them to truly understand how markets behave.”
Read more about game-changing, nano-second Level 3 order book data, available now!
About BMLL Technologies
BMLL Technologies is a financial data engineering and data analytics company serving the world’s most sophisticated market participants. BMLL specialises in providing clients access to granular order book data and advanced analytical power at unparalleled speed and scale. Born out of the machine learning labs in the Engineering Department at Cambridge University, the platform allows financial services firms to apply complex statistical techniques to niche big-data sets and perform machine learning on Level 3 order book data with applications such as market impact, pre & post trade analytics, order book simulation and compliance. The offering means clients no longer need to buy and curate the data from global exchanges, instead are offered cost effective access to the full order book with a long history for back-testing. For more information, please visit our website, www.bmlltech.com or visit our Twitter @bmlltech.
About Data In Harmony
Data In Harmony (DIH) is both a data consultant and a data provider. DIH’s data experts help companies find and on-board the data they need, as well as monetize their data to create new revenue streams. DIH also provides a wide variety of financial data, including trend capture analytics, reference data, corporate actions and more. DIH also offers alternative data, including real estate, class action lawsuits, bankruptcies and private company data. DIH licenses the same data engineering tools it uses to pull in raw data, process it and deliver finished data files to end-users in various formats.
DIH’s clients include startups, established firms and household name institutions located around the world. They choose to hire DIH to help improve data quality, reduce data costs and provide them with new quality data sets.
Source: Markets Media
Active fund managers face a big challenge — consistently picking winners and avoiding losers is very hard to do. How big is the problem? According to the S&P Indices Versus Active (SPIVA) Scorecard, through March 2020 more than 88% of all USA stock fund managers have underperformed the S&P Composite 1500 Index over the past 15 years.
Why Active Managers Struggle
Several factors contribute to the challenges fund managers face:
So what can active managers do to achieve superior results?
Return Dispersion Is a Good Place to Start
Return dispersion is the cross-sectional variation in returns across a universe of securities over a given time period. The following charts show how return dispersion works across world markets in all types of market conditions.
The empirical evidence is irrefutable: markets exhibit dispersion in returns in all market phases.
So How Can Fund Managers Profit From Return Dispersion?
Capturing price trends more consistently is key. To do this, managers must:
Active managers must be able to do all three of these things accurately, consistently and repeatably — no matter the market cycle.
If your investment process underperforms when capturing trends, DIH may be able to help.
DIH is pleased to announce its recent partnership with Trendrating, a market-leading provider of analytics and technology for professional equity investors, to offer the company’s trend capture ratings data and analytics, which dove-tail neatly with DIH’s existing data offering. Portfolio managers and quantitative analysts can now add a robust methodology to rate price trends, validate investment ideas, improve risk controls and capture additional alpha. Over 100 asset managers around the world benefit from these analytics every day.
If you’d like more details on Trend Capture Analytics and how it can improve your investment process, please contact us.
Also, you can connect with us on LinkedIn and Twitter.
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Tom Myers is the founder of Data In Harmony (DIH), a data consultant and provider. DIH help firms find the data they need, validate & clean data, integrate data, and monetize their data. DIH also provides a wide variety of financial and alternative data, as well as data engineering tools.