Open source platform H2O provides critical machine learning functions for robots

H2O.Ai, Open Source Leader H2O.Ai, which is artificial intelligence (AI) and machine learning (ML), announced today that its open source platform H2O provides a critical machine learning function for robots. MarketAxess, this is an operator of a leading income securities electronic trading platform, and is a market data of the world's fixed-income market and post-trading services. MARKETAXESS, which is supported by H2O open source, provides more in-depth insight and prices for more than 24,000 companies in real time in a global scale. Composite + has won multiple awards, including the annual electronic trading support product, the Risk Market Technical Award and the Best Artificial Intelligence Technology Program of the Waters Technology, US Finance Technology Award. MarketAxess Global Research Supervisor David Krein said: "H2O is a part of Composite + intention, and provides some basic machine learning tools and support, which make our algorithm to run like they." "Composite + pricing The engine can help meet customer 's critical mobility requirements by more accurate, timely pricing data, which we can get in the MarketAxess electronic trading work process. H2O.ai has always been an important partner of our success. " "Congratulations to David and MarketAxess research teams create industry-leading algorithm pricing engines with H2O Ai. With Composite + H2O machine learning algorithm, MarketAxess can achieve automatic company bond pricing with better prediction and function," H2O. " AI CEO and founder Sri Ambati said. The fixed gain market has matured, and the AI transformation, MarketAxess leads this change to bring speed and transparency to the market. We are happy to be a partner they get amazing, and we look forward to accelerating the age of AI in the capital market through faster, cheaper and open platforms. " MarketAxess Composites + Composite + is a leading algorithm pricing engine for company bonds, which uses a series of proprietary and industry data sources, updated every 15 seconds. It combines public data from the Finra Trade Report and Compliance Engine (Trace) and proprietary data from the MarketAxess trading platform and TRAX. The solution uses artificial intelligence and machine learning to predict the exact two-way reference prices of 24,000 bonds worldwide. When the closest signal is lost, the Composite + algorithm can continue to learn a feature of poor predictivity for triangulation. H2O: Open Source AI H2O is the leading source, scalable and distributed memory AI and machine learning platform. H2O supports the most widely used statistics and machine learning algorithms, including gradient lifting machines, generally linear models, depth learning, etc. H2O also has industry-leading automl features that automatically run all algorithms and its super parameters to generate the list of best models. The H2O platform is widely used in industries that require large-scale machine learning, such as financial services. Read more