Five Years Of Full Depth US Order Book Data Now Available Via BMLL – Systematic Hedge Funds …

As the demand for data driven insights to improve trading decisions is continuously increasing, so is the need for new, alternative and granular data …

BMLL Technologies, the award-winning data and analytics company, today announced that five years of granular, Level 3 order book data is now available to its US customer base and European funds trading US stocks.

As the demand for data driven insights to improve trading decisions is continuously increasing, so is the need for new, alternative and granular data sets that help industry participants navigate market volatility while maintaining a competitive advantage. However, the technical lift and scalable compute power required to ingest huge amounts of data and derive meaningful insights is significant. To achieve these insights, a large proportion of quants spend 80% of their time cleansing and harmonising data, before they can use it to improve trading decisions and backtest strategies for alpha generation.

BMLL is now able to offer five years of Level 3 data for US markets and European funds trading US stocks. These data sets enable participants to understand how markets behave and unlock the full potential of the predictive power of pricing data over a sufficiently long time horizon to capture a wide spectrum of market scenarios, without the need for complex in-house data cleansing and engineering capabilities. This ability has previously been the preserve of large systematic funds with in-house capabilities to generate, analyse and ingest these levels of data.

Paul Humphrey, CEO of BMLL Technologies, said: “The race for speed is over and the industry is waking up to the predictive power of historic data. We all understand the value of pre-trade or real-time data and the costs associated with it. But predictability only comes from a deep understanding of how the market behaves; it comes from historic Level 3 order book data that includes every single order sent to an exchange over the last five years, the fill probability as well as average resting time of an order.”

Dr Elliot Banks, CPO of BMLL Technologies, added: “The primary use for our data is to find alternative sources of alpha generation. Having five years of Level 3 data means you have the ability to look beyond what happened in the market over the last 18 months. You can analyse long term cycles and trends, back test your strategies and look at the decision making processes that every market participant made to actually trade. That is absolutely critical if you want to find inferences and go beyond the top of the order book.”

BMLL is the only firm that offers granular historic order book data in a completely harmonised and information rich format alongside a comprehensive suite of analytics and the cloud resources needed to calculate these insights, all easily delivered and accessible in daily workflows.

BMLL’s 5 years of data is available to market participants in two different formats. Python-native quants can access BMLL’s Data Lab, our data science platform that allows users to access Level 3 harmonised order book data, process it at scale, and find inferences by drilling down into every single message.

Alternatively, our BMLL Data Feed can be easily consumed via API or FTP delivery straight into users’ research and production systems, delivering metrics such as average resting time of an order or fill probability at a particular level of the order book.

The immediate outcome of using BMLL’s Data Lab and Data Feed is that data scientists no longer need to spend 80% of their time cleaning and harmonising the data. That time can now be spent actually creating value.

Ben Collins, Head of Sales, commented: “The ability to derive meaningful insights from Level 3 data requires a dedicated, scalable environment and compute power. To date, only a handful of high frequency trading firms have had the infrastructure to curate this level of data and analytics. At BMLL, we have done the heavy lifting for our clients. We bring together the full depth, historic order book data, the scalable, cloud-based, compute power and unrivalled data science to deliver unique analytics in a cost-effective manner.”

CloudQuant Enters Strategic Partnership with Crux Informatics to Grant Clients Access to …

Alternative Data providers will sell more data, all of which are accessible through a single API.’ Users can now access datasets delivered by Crux on the …

(MENAFN – EIN Presswire)

CloudQuant and Crux Informatics partner to provide research tools and data access to money managers

Agreement Benefits Data Suppliers and Institutional Investors, Portfolio Managers, Quants Focused on Alpha Generation for Clients

Crux’s rapidly growing catalog of Alternative Data exponentially increases the amount of information we can research, backtest and showcase to investment managers and quantitative analysts — Morgan Slade, CEO CloudQuantCHICAGO, IL, UNITED STATES, October 21, 2020 / EINPresswire.com / — CloudQuant , the Big Data API and analysis platform for delivering datasets directly into users’ applications, today announced a ground-breaking strategic partnership with Crux Informatics (‘Crux’). The agreement will enable CloudQuant’s PaaS analytics clients and Liberator(™) data firehose clients to quickly trial, onboard, and analyze data from Crux’s expansive network of data suppliers. The partnership enables end-users to access novel datasets, analysis tools, and expertise to quickly transform data into profits.

‘Crux’s rapidly growing catalog of Alternative Data exponentially increases the amount of information we can research, backtest and showcase to investment managers and quantitative analysts,’ said Morgan Slade, CloudQuant CEO. ‘Our research team will develop investment strategies and educational material for many of the datasets on the Crux Deliver platform. This unique combination of Crux data with our research team and tech stack provides investment managers with immediate access to datasets, example strategies, and expertise to dramatically accelerate Alternative Data adoption. Identifying and measuring the true alpha content in every worthy dataset leads to better decision making and ultimately better returns for their investors. Alternative Data providers will sell more data, all of which are accessible through a single API.’

Users can now access datasets delivered by Crux on the CloudQuant platform and via the Liberator firehose product. A link to CloudQuant’s research also will be added in the Crux Discover app.

‘Alternative data providers need to demonstrate to investment managers that their data provides real value,’ said Mike Rude, head of go-to-market at Crux Informatics. ‘This agreement paves the way for more quality data to be available in a clear, comprehensive format to meet the needs of investment managers. Now CloudQuant data customers have access to many more datasets and can make investment decisions with fewer errors and greater confidence.’

About CloudQuant

CloudQuant is a cloud-technology, Alternative Data, and AI research company. It brings together cutting-edge analytics tools, investment expertise, a vast repository of curated alternative datasets unified under its Liberator(™) data fabric. CloudQuant provides datasets, visualization tools, investment strategy backtesting, and AI research environments for institutional fundamental and quantamental investors. CloudQuant’s services and APIs can easily be integrated into existing technologies. For Data Vendors, CloudQuant provides alternative data redistribution to institutional investors, using a powerful, user-friendly, managed environment. Our veteran AI research team then provides expertise to transform that data into profits for data consumers. CloudQuant was founded in 2016 in Chicago, Illinois, USA.

[To enable links contact MENAFN]

About Crux Informatics

Crux Informatics helps data suppliers accelerate delivery of any data product, in any format, to any end-customer destination. Its Crux Deliver managed service offers a simple, reliable, and affordable solution to expand delivery and operations of their data products to customers. With ready-made API, cloud warehouse integrations, querying capabilities, and operational support teams, data suppliers can leverage Crux infrastructure to scale the complex and resource intensive process of delivering data and help prevent sending data with potential errors to customers. Crux actively delivers and manages over 10K datasets from partnerships with over 100 data suppliers.

[To enable links contact MENAFN]

Tayloe Draughon

CloudQuant

+1 512-439-8152

email us here

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VOIP provider Broadvoice exposes 350M customer records on Elasticsearch cluster

… exposed online in the latest case of a company failing to secure its cloud storage. … Broadvoice has confirmed the data breach, saying the data was …

A database of more than 350 million customer records belonging to voice over-internet-protocol company Broadvoice has been found exposed online in the latest case of a company failing to secure its cloud storage.

Discovered and publicized Oct. 15 by security researcher Bob Diachenko at Comparitech, the data was found on an unprotected Elasticsearch cluster. The data included caller names, phone numbers and locations along with hundreds of thousands of voice mails, many said to involve sensitive information such as medical and financial details.

Broadvoice has confirmed the data breach, saying the data was inadvertently exposed on Sept. 28. After the company was informed of the exposure Oct. 1, the data was then secured the following day. Along with the usual tick box list of standard responses — investigation launched, alerting authorities, employing a third-party forensics firm and so on — Broadvoice said it has no reason to believe there was any misuse of the data.

Founded in 2006, Broadvoice provides VOIP services to a range of companies in the U.S., and that’s what complicates the data exposure. The company has thousands of customers, all of which may have at the very least had their data exposed but in the worse case may have had their customer data stolen.

“A database left open without any authentication required for access is a surefire way for cybercriminals to obtain sensitive data,” Keith Neilson, technical evangelist at cloud governance firm CloudSphere, told SiliconANGLE. “Fraudsters can leverage details in the 350 million exposed records to impersonate customers and launch targeted attacks like spear-phishing campaigns to gain additional resources. It’s critical for enterprises to adopt tools that provide full visibility of cloud environments to ensure data stays secure.”

Anurag Kahol, chief technology officer at Bitglass, noted that Gartner forecasts global information security spending to reach $123 billion this year, yet organizations continue to be plagued by easily preventable security failures — “such as leaving a database with millions of patients’ personal data exposed without any authentication controls in place.”

Photo: Broadvoice

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Massive Growth in Database Management Systems (DBMS) Market Set to Witness Huge Growth …

The Database Management System plays a critical role in the IT and Communication industry, while the advent of cloud computing to handle huge data …

“Database Management Systems (DBMS) Market is growing at a High CAGR during the forecast period 2020-2026. The increasing interest of the individuals in this industry is that the major reason for the expansion of this market”.

Get the PDF Sample Copy (Including FULL TOC, Graphs and Tables) of this report @:

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Note – In order to provide more accurate market forecast, all our reports will be updated before delivery by considering the impact of COVID-19.

Top Key Players Profiled in this report are:

Pervasive Software, Informatica Corporation, IBM, Embarcadero Technologies, MongoDB, Enterprise DB Software Solution, Tandem, FileMaker Inc., NCR, PostgreSQL, Software AG, Oracle

Database Management Systems (DBMS) Market research is an intelligence report with meticulous efforts undertaken to study the right and valuable information. The data which has been looked upon is done considering both, the existing top players and the upcoming competitors. Business strategies of the key players and the new entering market industries are studied in detail. Well explained SWOT analysis, revenue share and contact information are shared in this report analysis.

The key questions answered in this report:

  1. What will be the Market Size and Growth Rate in the forecast year?
  2. What are the Key Factors driving Database Management Systems (DBMS) Market?
  3. What are the Risks and Challenges in front of the market?
  4. Who are the Key Vendors in Database Management Systems (DBMS) Market?
  5. What are the Trending Factors influencing the market shares?
  6. What are the Key Outcomes of Porter’s five forces model?
  7. Which are the Global Opportunities for Expanding the Database Management Systems (DBMS) Market?

Various factors are responsible for the market’s growth trajectory, which are studied at length in the report. In addition, the report lists down the restraints that are posing threat to the global Database Management Systems (DBMS) market. It also gauges the bargaining power of suppliers and buyers, threat from new entrants and product substitute, and the degree of competition prevailing in the market. The influence of the latest government guidelines is also analyzed in detail in the report. It studies the Database Management Systems (DBMS) market’s trajectory between forecast periods.

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Global Database Management Systems (DBMS) Market Segmentation:

Market Segmentation by Type:

Builder

Database Encryption

Backup

Recovery

Data Scaling

Replication

Market Segmentation by Application:

Government

Hospitality

Healthcare and Life Sciences

Education

Media & Entertainment

Professional Service

Telecom & IT

Regions Covered in the Global Database Management Systems (DBMS) Market Report 2020:

? The Middle East and Africa (GCC Countries and Egypt)

? North America (the United States, Mexico, and Canada)

? South America (Brazil etc.)

? Europe (Turkey, Germany, Russia UK, Italy, France, etc.)

? Asia-Pacific (Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia)

The report provides insights on the following pointers:

  1. Market Penetration: Comprehensive information on the product portfolios of the top players in the Database Management Systems (DBMS) market.
  2. Product Development/Innovation: Detailed insights on the upcoming technologies, R&D activities, and product launches in the market.
  3. Competitive Assessment: In-depth assessment of the market strategies, geographic and business segments of the leading players in the market.
  4. Market Development: Comprehensive information about emerging markets. This report analyzes the market for various segments across geographies.
  5. Market Diversification: Exhaustive information about new products, untapped geographies, recent developments, and investments in the Database Management Systems (DBMS) market.

Table of Contents

Global Database Management Systems (DBMS) Market Research Report 2020 – 2026

Chapter 1 Database Management Systems (DBMS) Market Overview

Chapter 2 Global Economic Impact on Industry

Chapter 3 Global Market Competition by Manufacturers

Chapter 4 Global Production, Revenue (Value) by Region

Chapter 5 Global Supply (Production), Consumption, Export, Import by Regions

Chapter 6 Global Production, Revenue (Value), Price Trend by Type

Chapter 7 Global Market Analysis by Application

Chapter 8 Manufacturing Cost Analysis

Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers

Chapter 10 Marketing Strategy Analysis, Distributors/Traders

Chapter 11 Market Effect Factors Analysis

Chapter 12 Global Database Management Systems (DBMS) Market Forecast

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Idera, Inc. Acquires Qubole, Adds Data Lakes to Database Tools Unit

Qubole will join Idera’s database tools business unit that includes AquaFold, IDERA, Webyog, and WhereScape. The merger comes as Qubole hosts …

Idera, Inc. recently announced that it has acquired data lake tools solution provider Quboe, according to a press release. Qubole will join Idera’s database tools business unit that includes AquaFold, IDERA, Webyog, and WhereScape. The merger comes as Qubole hosts The Data Lake Summit in collaboration with AWS and Google Cloud. It also comes on the heels of Qubole’s launch of Qubole Pipelines Service. Unveiled in August, Qubole Pipelines Service enables users to build scalable streaming data pipelines.

Our Buyer’s Guide for Data Management Platforms helps you evaluate the best solution for your use case and features profiles of the leading providers, as well as a category overview of the marketplace.

Qubole’s flagship data management product is its Autonomous Data Platform, a solution that self-manages and self-optimizes by sending alerts and Insights and Recommendations (AIR) based on cloud agents connected to the customer’s data policies and preferences. Qubole uses a combination of heuristics and machine learning for workload continuity as well. Some of Qubole’s most notable customers include Expedia, Disney, ORacle, Fanatics, Activision Blizzard, and Adobe.

Idera offers an array of B2B software tools ranging from database administration to application development and test management. Under its broader data-centric tools umbrella, the vendor touts data warehouse automation, cross-platform database productivity, IT infrastructure monitoring, and database performance tools. Idera also acquired FusionCharts in March 2020 and WhereScape last September.

In a media statement about the news, Idera CEO Randy Jacops said: “Companies generate and store both structured and unstructured data at unprecedented levels. Qubole’s reputation as the leading cross-platform solution focused on unstructured data is a fantastic addition to Idera’s Database Tools division. In particular, it will pair well with Idera’s WhereScape business, the leading provider of data automation solutions for data warehouses.”

Read the official press release or learn more about Idera, Inc.

Timothy King
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Timothy King

Senior Editor at Solutions Review
Timothy is Solutions Review’s Senior Editor. He is a recognized thought leader and influencer in enterprise BI and data analytics. Timothy has been named a top global business journalist by Richtopia. Scoop? First initial, last name at solutionsreview dot com.
Timothy King
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