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Bloomberg Launches Fully Customizable Intraday Quant Pricing Solution for Investment Research
Bloomberg's innovative OHLC Bar product makes it easier for quant and systematic customers to create custom intraday pricing bars while providing firms with complete transparency NEW YORK, Oct. 1, 2024 /PRNewswire/ -- Bloomberg today announced the launch of its fully customizable intraday quant pricing solution for Investment Research, the Open-High-Low-Close (OHLC) Bar product. The new solution simplifies quant workflows by empowering customers to quickly create intraday pricing datasets either based on Bloomberg's templates or fully customizable pricing, using their own preferred combination of trade condition codes. As a result, customers can unlock insights and alpha faster. The OHLC Bar product is Bloomberg's latest quant pricing solution, following the release of its cross-asset Tick History Data, which together are part of a robust suite of Quant Research Data solutions the company continues to invest in building out. Bloomberg's OHLC Bar product makes its Tick History, traditionally a very large dataset, easier to manage and store, so less time is spent wrangling the data. Bloomberg's premium high-quality Tick History Data allows firms to access both tick-by-tick historical intraday quotes and trades and now, OHLC bars. The solution includes data from over 350 global exchanges and Bloomberg's industry-recognized fixed income pricing, and provides access to over 70 million instruments, making it a comprehensive solution that firms can use for their back, middle and front office workflows. The data is application-ready, accessible via Rest API and natively available on AWS, Azure and GCP, and is also accessible for enterprise-wide use via Data License at data.bloomberg.com. "Quant customers were previously compelled to use standard, pre-made OHLC bar datasets for their tick history use cases. Any customization would increase the complexity of their workflow, requiring raw ticks, significant storage and a specialized tick database for large-scale use," said Ali Mohsin, Global Product Manager, Tick History at Bloomberg. "Now, for the first time, Bloomberg customers can manage this complexity out-of-the-box with transparency, for any use case across both the buy- and sell-side." Bloomberg's OHLC Bar product can generate bars across global equities, global futures, FX, swaps, fixed income and global options. It offers a number of key benefits: Customization - Firms can customize their OHLC bar to suit their use case and application. This includes choosing which inputs to use to generate a bar, creating a custom time interval and receiving the bar in Parquet or CSV format.Filtering - Firms have access to Bloomberg's templates to exclude auction indications, duplicative trades and block or erroneous trades. They also have the ability to modify these templates to add and remove additional codes.Transparency - Bloomberg provides firms with transparency into the metadata of its OHLC bars including important timestamps, counts and condition codes used to create a bar.Bespoke Solution - Firms can create a bespoke OHLC bar that caters to a specific use case or application by generating bars that only include specific trade conditions. With this launch, Bloomberg has taken yet another step in developing Research Data solutions tailored for quant and systematic customers looking for an edge in their investment process. Bloomberg's Research Data solutions are interoperable and accessible via our Real-Time solutions, Data License (DL) or data management solution, Data License Plus (DL+), as well as third party technologies and all major cloud providers, allowing firms to seamlessly put the data to use in their trading strategies. "With ever-increasing volumes of data and the adoption of new AI techniques, quant analysts and systematic teams face significant complexity in evaluating, acquiring and productionizing data in their strategies," said Angana Jacob, Head of Enterprise Research Data at Bloomberg. "Our Research Data solutions allow firms to focus on trade ideas and reduce their time to alpha by providing a robust set of quant-ready pricing and fundamentals data products that are easy to evaluate, backtest and implement. Bloomberg's customizable OHLC Bar product is a significant addition to our comprehensive multi-asset data suite for quant customers to build and trade their models." About Bloomberg's Quant Research Data Solutions Bloomberg's Enterprise Quant Research Data product suite provides end-to-end solutions to power quant research. Solutions include Company Financials, Estimates, Pricing and Point in Time Data, Company Revenue Segmentation Data and Industry Specific Fundamental Data products, covering a broad universe of companies and providing deep actionable insights. This solution suite also includes Quant Pricing with cross-asset Tick History and Bars. All of these data solutions are seamlessly interconnected with other datasets including alternative data and are available via a number of delivery mechanisms including in the Cloud. More information on these solutions can be found here. About Bloomberg Bloomberg is a global leader in business and financial information, delivering trusted data, news, and insights that bring transparency, efficiency, and fairness to markets. The company helps connect influential communities across the global financial ecosystem via reliable technology solutions that enable our customers to make more informed decisions and foster better collaboration. For more information, visit Bloomberg.com/company or request a demo. View original content to download multimedia:https://www.prnewswire.com/news-releases/bloomberg-launches-fully-customizable-intraday-quant-pricing-solution-for-investment-research-302263800.html SOURCE Bloomberg Market News and Data brought to you by Benzinga APIs
[2]
Bloomberg rolls out customisable intraday quant pricing solution for Investment Research
This content is provided by an external author without editing by Finextra. It expresses the views and opinions of the author. The new solution simplifies quant workflows by empowering customers to quickly create intraday pricing datasets either based on Bloomberg's templates or fully customizable pricing, using their own preferred combination of trade condition codes. As a result, customers can unlock insights and alpha faster. The OHLC Bar product is Bloomberg's latest quant pricing solution, following the release of its cross-asset Tick History Data, which together are part of a robust suite of Quant Research Data solutions the company continues to invest in building out. Bloomberg's OHLC Bar product makes its Tick History, traditionally a very large dataset, easier to manage and store, so less time is spent wrangling the data. Bloomberg's premium high-quality Tick History Data allows firms to access both tick-by-tick historical intraday quotes and trades and now, OHLC bars. The solution includes data from over 350 global exchanges and Bloomberg's industry-recognized fixed income pricing, and provides access to over 70 million instruments, making it a comprehensive solution that firms can use for their back, middle and front office workflows. The data is application-ready, accessible via Rest API and natively available on AWS, Azure and GCP, and is also accessible for enterprise-wide use via Data License at data.bloomberg.com. "Quant customers were previously compelled to use standard, pre-made OHLC bar datasets for their tick history use cases. Any customization would increase the complexity of their workflow, requiring raw ticks, significant storage and a specialized tick database for large-scale use," said Ali Mohsin, Global Product Manager, Tick History at Bloomberg. "Now, for the first time, Bloomberg customers can manage this complexity out-of-the-box with transparency, for any use case across both the buy- and sell-side." Bloomberg's OHLC Bar product can generate bars across global equities, global futures, FX, swaps, fixed income and global options. It offers a number of key benefits: * Customization - Firms can customize their OHLC bar to suit their use case and application. This includes choosing which inputs to use to generate a bar, creating a custom time interval and receiving the bar in Parquet or CSV format. * Filtering - Firms have access to Bloomberg's templates to exclude auction indications, duplicative trades and block or erroneous trades. They also have the ability to modify these templates to add and remove additional codes. * Transparency - Bloomberg provides firms with transparency into the metadata of its OHLC bars including important timestamps, counts and condition codes used to create a bar. * Bespoke Solution - Firms can create a bespoke OHLC bar that caters to a specific use case or application by generating bars that only include specific trade conditions. With this launch, Bloomberg has taken yet another step in developing Research Data solutions tailored for quant and systematic customers looking for an edge in their investment process. Bloomberg's Research Data solutions are interoperable and accessible via our Real-Time solutions, Data License (DL) or data management solution, Data License Plus (DL+), as well as third party technologies and all major cloud providers, allowing firms to seamlessly put the data to use in their trading strategies. "With ever-increasing volumes of data and the adoption of new AI techniques, quant analysts and systematic teams face significant complexity in evaluating, acquiring and productionizing data in their strategies," said Angana Jacob, Head of Enterprise Research Data at Bloomberg. "Our Research Data solutions allow firms to focus on trade ideas and reduce their time to alpha by providing a robust set of quant-ready pricing and fundamentals data products that are easy to evaluate, backtest and implement. Bloomberg's customizable OHLC Bar product is a significant addition to our comprehensive multi-asset data suite for quant customers to build and trade their models."
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Bloomberg has launched a new intraday quant pricing solution that offers fully customizable data for investment research. This tool aims to enhance quantitative analysis and investment strategies with high-frequency, point-in-time data.
Bloomberg, a global leader in financial data and analytics, has introduced a groundbreaking intraday quant pricing solution designed to revolutionize investment research and quantitative analysis. This innovative tool provides financial professionals with access to high-frequency, point-in-time data, enabling more precise and timely investment decisions 1.
One of the key features of Bloomberg's new solution is its unparalleled customization capabilities. Users can tailor the data to their specific needs, selecting from a wide range of data fields and customizing snapshot frequencies. This flexibility allows quantitative researchers and portfolio managers to align the data with their unique investment strategies and models 2.
The intraday quant pricing solution offers a significant improvement in data accuracy and timeliness. By providing snapshots as frequently as every 15 minutes, the tool enables users to capture market movements and trends with unprecedented precision. This high-frequency data is particularly valuable for strategies that rely on capturing short-term market inefficiencies or require up-to-the-minute information for decision-making 1.
Bloomberg's solution boasts extensive coverage, encompassing a wide array of asset classes and markets. This comprehensive approach ensures that users have access to a rich dataset that spans various investment opportunities, allowing for more robust analysis and strategy development 2.
The new quant pricing solution seamlessly integrates with Bloomberg's existing suite of services, including its Enterprise Data business. This integration allows clients to leverage Bloomberg's vast data ecosystem, combining the new intraday data with other Bloomberg offerings to create a more holistic view of the market 1.
The introduction of this tool is expected to have a significant impact on investment research practices. By providing more granular and timely data, Bloomberg's solution enables researchers to conduct more sophisticated analyses, backtest strategies with greater precision, and potentially uncover new investment opportunities that may have been previously overlooked 2.
Initial reactions from industry professionals have been positive, with many highlighting the potential of the new solution to enhance their quantitative research capabilities. The tool's ability to provide customizable, high-frequency data is seen as a valuable asset in an increasingly competitive and data-driven investment landscape 1.
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