Liquidnet Enhances Platform with AI from BondIT for Better Trading

Monday, 18/12/2023 | 11:22 GMT by Damian Chmiel
  • AI integration should allow better credit trading decisions on Liqudinet's platform.
  • The partnership aims to enhance market insights for Liquidnet's 700+ fixed-income firms.
Liquidnet Enhances Platform with AI from BondIT for Better Trading

Liquidnet announced today (Monday) a new partnership with BondIT, a provider of investment technology, to integrate BondIT's Scorable Credit Analytics into Liquidnet's fixed-income trading platform. The tool leverages data science, explainable AI and machine learning solutions.

Liquidnet and BondIT Partner to Integrate AI-Driven Credit Research

The collaboration aims to give fixed income traders using Liquidnet's platform insights to help them anticipate market trends, mitigate credit risk, and make faster trading decisions. Over 700 fixed-income firms that currently use Liquidnet's trading protocols for areas like corporate bonds will now have access to BondIT's credit analytics directly in their Liquidnet applications.

"We are excited to enrich our platform with Scorable's high-quality service. This will provide our members valuable credit data to sharpen their trading strategies,” Nicholas Stephan, the Global Head of Fixed Income Product and Partnership Programs at Liquidnet, said.

Demand for fixed income has climbed recently amid attractive yields, but economic uncertainty has also brought heightened credit risk. BondIT's Scorable service leverages AI and machine learning to enable investors to forecast credit ratings and spread changes.

Dr David Curtis, the Head of Global Client Business at BondIT, emphasized the timeliness of this integration. "With risk up, technology is key for traders to anticipate volatility and seize opportunities early," Curtis said.

The collaboration highlights Liquidnet's push to evolve its electronic credit offering beyond execution services, providing users with more intelligence for informed trading. Further additions along these lines are planned.

Liqudinet's New Trading Capabilities

Liquidnet has recently launched several innovative tools and partnerships to enhance its trading capabilities.

The first is a new pre-trade analytics tool for listed derivatives, now available in the US and Europe. This tool is designed to provide crucial insights such as volume, liquidity, and projected activity, aiding traders in making informed decisions before executing trades.

Further expanding its suite of trading tools, Liquidnet has introduced liquidity-seeking alerts to its equities trading application. These alerts are engineered to help traders swiftly respond to liquidity events, such as those generated by dark blocks, enabling them to reengage with missed trading opportunities within the Liquidnet network.

In a separate move, Liquidnet has announced a cooperation with BondAuction. This partnership will allow Liquidnet to integrate BondAuction's offerings directly into its Order Management System (OMS). BondAuction enables institutional investors to submit bids directly through Liquidnet's OMS and receive allocations in return.

Liquidnet announced today (Monday) a new partnership with BondIT, a provider of investment technology, to integrate BondIT's Scorable Credit Analytics into Liquidnet's fixed-income trading platform. The tool leverages data science, explainable AI and machine learning solutions.

Liquidnet and BondIT Partner to Integrate AI-Driven Credit Research

The collaboration aims to give fixed income traders using Liquidnet's platform insights to help them anticipate market trends, mitigate credit risk, and make faster trading decisions. Over 700 fixed-income firms that currently use Liquidnet's trading protocols for areas like corporate bonds will now have access to BondIT's credit analytics directly in their Liquidnet applications.

"We are excited to enrich our platform with Scorable's high-quality service. This will provide our members valuable credit data to sharpen their trading strategies,” Nicholas Stephan, the Global Head of Fixed Income Product and Partnership Programs at Liquidnet, said.

Demand for fixed income has climbed recently amid attractive yields, but economic uncertainty has also brought heightened credit risk. BondIT's Scorable service leverages AI and machine learning to enable investors to forecast credit ratings and spread changes.

Dr David Curtis, the Head of Global Client Business at BondIT, emphasized the timeliness of this integration. "With risk up, technology is key for traders to anticipate volatility and seize opportunities early," Curtis said.

The collaboration highlights Liquidnet's push to evolve its electronic credit offering beyond execution services, providing users with more intelligence for informed trading. Further additions along these lines are planned.

Liqudinet's New Trading Capabilities

Liquidnet has recently launched several innovative tools and partnerships to enhance its trading capabilities.

The first is a new pre-trade analytics tool for listed derivatives, now available in the US and Europe. This tool is designed to provide crucial insights such as volume, liquidity, and projected activity, aiding traders in making informed decisions before executing trades.

Further expanding its suite of trading tools, Liquidnet has introduced liquidity-seeking alerts to its equities trading application. These alerts are engineered to help traders swiftly respond to liquidity events, such as those generated by dark blocks, enabling them to reengage with missed trading opportunities within the Liquidnet network.

In a separate move, Liquidnet has announced a cooperation with BondAuction. This partnership will allow Liquidnet to integrate BondAuction's offerings directly into its Order Management System (OMS). BondAuction enables institutional investors to submit bids directly through Liquidnet's OMS and receive allocations in return.

About the Author: Damian Chmiel
Damian Chmiel
  • 1912 Articles
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About the Author: Damian Chmiel
Damian's adventure with financial markets began at the Cracow University of Economics, where he obtained his MA in finance and accounting. Starting from the retail trader perspective, he collaborated with brokerage houses and financial portals in Poland as an independent editor and content manager. His adventure with Finance Magnates began in 2016, where he is working as a business intelligence analyst.
  • 1912 Articles
  • 43 Followers

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