بروزرسانی: 24 خرداد 1404
How SOLVE Collects 10 Times More Pre-Trade Data
Thefixed-income data and analytics specialist SOLVE recently launched a new platformthat promises to redefine how professionals in the sector operate. The platformaggregates a comprehensive set of historical and real-time data and offers insightsthat let users make informed decisions.
This movecomes on the heels of the recent acquisitions of Advantage Data andLumesis, solidifying its position in the field of fixed-income data. FinanceMagnates spoke with SOLVE\'s Co-Founder and CEO, Eugene Grinberg, about thecompany\'s latest platform and how it can collect ten times more pre-tradedata than other available sources.
The SOLVEplatform is designed to meet the diverse needs of institutions, ranging fromidentifying new trading opportunities to regulatory compliance. It is poweredby Deep Market Insight, a technology that, according to its creators, deliversthe most accurate fixed-income data set available. This technology eliminatesthe need for hundreds of hours spent on data research and analysis, therebyreducing risk and driving growth.
"Weleverage Deep Market Insight in two parallel ways – on the one hand, weaggregate quotes from the messages of individual clients to organize their firm\'sdata and then the same mechanism is used to aggregate quotes contributed by ourvast network of buy- and sell-side contributing clients," Eugene Grinberg, commented to Finance Magnates.
Source: SOLVE
He alsoemphasized the platform\'s ability to meet the specific requirements of largeinstitutional customers, including bankers, underwriters, issuers, and manyothers. "With the SOLVE Platform in place, institutions can price bondsand securities on a real-time basis with great confidence," the CEO said.
Therefore,the new tool stands out for its approach to data collection. For example, thecompany offers a range of features, including real-time pre- and post-tradepricing, extensive coverage of illiquid securities, and regulatory compliancesolutions for the municipal bond market.
"Toprovide maximum transparency, we overlay pre-trade quotes with post-tradepricing. When looking to ascertain fair market value of bonds, the bestindicator is a materialized trade," Grinberg explained. "However,most securities don\'t trade daily or even weekly or monthly. Hence anyavailable quotes on these securities may be as good as it gets to establishfair value, or trades and quotes on comparable securities. There is typically ahierarchy as bonds get more and more illiquid."
10 Times More Pre-tradeData than the Competition
The above-mentionedfeatures are made possible by an AI-powered technology, which collects 10times more pre-trade data than any other source. How is this possible?
"SOLVE\'sapproach to tracking real-time trade chatter is dramatically different fromother platforms on the market. While many of our competitors act as \'parsers\',which rely on an expectation of consistency between messages, they almost allfall into the same trap – trying to mimic messages with quotes throughtemplates," explained Grinberg.
SOLVE\'s Ticker solution now seamlessly integrates SOLVE’s Quotes & Composite Pricing Market Data showing Municipal pre-trade quotes alongside historical trade data. https://t.co/nvOaIp3cXA#MunicipalBonds #MarketData #InvestmentAnalysis #PreTradePricingData #TradeQuotes
— SOLVE (@SOLVEfixdincome) October 30, 2023
The company relies on a flexible approach involving natural language processing and machinelearning. While parsers would need to know a message\'s specific rigid formatin advance to decode it, SOLVE doesn\'t need to know what messages look like,allowing the platform to extract quotes more accurately and in real-time.
"Wheremost parsers fall short is the reality that there is very little consistency inmessages between traders, resulting in missed quotes and lots of falsepositives," Grinberg added.
The SOLVEapproach is highly differentiated, which results in significantly higher datacoverage. According to Grinberg, one of the company\'s competitors claims to beseeing "about 100,000 quotes per day" when they see "about18,000,000 in that same asset class."
SOLVE Acquires Advantage Data, Lumesis andWorks on New Products
Theacquisitions of Advantage Data and Lumesis have also played a crucial role inenhancing SOLVE\'s offerings. These companies brought valuable products focusedon primary markets, which SOLVE has significantly improved by integrating itsown data offerings. Consequently, SOLVE has been able to provide even morevalue to its clients.
"BothAdvantage Data and Lumesis had incredible products focused on Primary Marketsand enabling bankers, analysts, underwriters, and syndicates to drive betterdecision-making. We saw an opportunity to significantly enhance these productswith SOLVE\'s data offerings and by boosting their ability to provide value toclients," Grinberg commented.
In terms ofregulatory compliance, the platform offers tools that help institutions adhereto rules and regulations effectively. Quotes are leveraged in various ways,especially for the purposes of "Best Execution," providing apoint-in-time view of available data when a transaction is made.
As for thefuture, SOLVE is working on a few new projects. "There are a number ofproducts in the pipeline that will add even more innovative analytics andvisualization solutions to help clients interpret market data and generateP&L opportunities," Grinberg concluded.
Thefixed-income data and analytics specialist SOLVE recently launched a new platformthat promises to redefine how professionals in the sector operate. The platformaggregates a comprehensive set of historical and real-time data and offers insightsthat let users make informed decisions.
This movecomes on the heels of the recent acquisitions of Advantage Data andLumesis, solidifying its position in the field of fixed-income data. FinanceMagnates spoke with SOLVE\'s Co-Founder and CEO, Eugene Grinberg, about thecompany\'s latest platform and how it can collect ten times more pre-tradedata than other available sources.
The SOLVEplatform is designed to meet the diverse needs of institutions, ranging fromidentifying new trading opportunities to regulatory compliance. It is poweredby Deep Market Insight, a technology that, according to its creators, deliversthe most accurate fixed-income data set available. This technology eliminatesthe need for hundreds of hours spent on data research and analysis, therebyreducing risk and driving growth.
"Weleverage Deep Market Insight in two parallel ways – on the one hand, weaggregate quotes from the messages of individual clients to organize their firm\'sdata and then the same mechanism is used to aggregate quotes contributed by ourvast network of buy- and sell-side contributing clients," Eugene Grinberg, commented to Finance Magnates.
Source: SOLVE
He alsoemphasized the platform\'s ability to meet the specific requirements of largeinstitutional customers, including bankers, underwriters, issuers, and manyothers. "With the SOLVE Platform in place, institutions can price bondsand securities on a real-time basis with great confidence," the CEO said.
Therefore,the new tool stands out for its approach to data collection. For example, thecompany offers a range of features, including real-time pre- and post-tradepricing, extensive coverage of illiquid securities, and regulatory compliancesolutions for the municipal bond market.
"Toprovide maximum transparency, we overlay pre-trade quotes with post-tradepricing. When looking to ascertain fair market value of bonds, the bestindicator is a materialized trade," Grinberg explained. "However,most securities don\'t trade daily or even weekly or monthly. Hence anyavailable quotes on these securities may be as good as it gets to establishfair value, or trades and quotes on comparable securities. There is typically ahierarchy as bonds get more and more illiquid."
10 Times More Pre-tradeData than the Competition
The above-mentionedfeatures are made possible by an AI-powered technology, which collects 10times more pre-trade data than any other source. How is this possible?
"SOLVE\'sapproach to tracking real-time trade chatter is dramatically different fromother platforms on the market. While many of our competitors act as \'parsers\',which rely on an expectation of consistency between messages, they almost allfall into the same trap – trying to mimic messages with quotes throughtemplates," explained Grinberg.
SOLVE\'s Ticker solution now seamlessly integrates SOLVE’s Quotes & Composite Pricing Market Data showing Municipal pre-trade quotes alongside historical trade data. https://t.co/nvOaIp3cXA#MunicipalBonds #MarketData #InvestmentAnalysis #PreTradePricingData #TradeQuotes
— SOLVE (@SOLVEfixdincome) October 30, 2023
The company relies on a flexible approach involving natural language processing and machinelearning. While parsers would need to know a message\'s specific rigid formatin advance to decode it, SOLVE doesn\'t need to know what messages look like,allowing the platform to extract quotes more accurately and in real-time.
"Wheremost parsers fall short is the reality that there is very little consistency inmessages between traders, resulting in missed quotes and lots of falsepositives," Grinberg added.
The SOLVEapproach is highly differentiated, which results in significantly higher datacoverage. According to Grinberg, one of the company\'s competitors claims to beseeing "about 100,000 quotes per day" when they see "about18,000,000 in that same asset class."
SOLVE Acquires Advantage Data, Lumesis andWorks on New Products
Theacquisitions of Advantage Data and Lumesis have also played a crucial role inenhancing SOLVE\'s offerings. These companies brought valuable products focusedon primary markets, which SOLVE has significantly improved by integrating itsown data offerings. Consequently, SOLVE has been able to provide even morevalue to its clients.
"BothAdvantage Data and Lumesis had incredible products focused on Primary Marketsand enabling bankers, analysts, underwriters, and syndicates to drive betterdecision-making. We saw an opportunity to significantly enhance these productswith SOLVE\'s data offerings and by boosting their ability to provide value toclients," Grinberg commented.
In terms ofregulatory compliance, the platform offers tools that help institutions adhereto rules and regulations effectively. Quotes are leveraged in various ways,especially for the purposes of "Best Execution," providing apoint-in-time view of available data when a transaction is made.
As for thefuture, SOLVE is working on a few new projects. "There are a number ofproducts in the pipeline that will add even more innovative analytics andvisualization solutions to help clients interpret market data and generateP&L opportunities," Grinberg concluded.
منبع: https://www.financemagnates.com//institutional-forex/solves-ceo-on-how-the-platform-collects-10-times-more-pre-trade-data/