Natural language processing
HKEX targets company disclosure gaps with artificial intelligence
The system monitors annual reports for issuer compliance with listing rules, speeding up a formerly manual job.
Quants Find New Ways to Identify Inventive Companies
Buy-side firms are using patent and other types of data to identify trailblazer companies from phonies.
Machine Learning in the Capital Markets 2020: ML Spreads During Pandemic
WatersTechnology looks at how 10 different firms are embedding machine learning algorithms into their platforms and tools.
Asia at the Forefront of Innovation—A Look at Tech Projects in the Region
WatersTechnology looks at some of the major projects coming out of Asia that are leading the way for firms around the globe.
The ABCs of NLP: How Trading Firms Used NLP to Navigate 2020
This year, natural language processing came to the fore in capital markets, helping firms of all kinds parse huge, unstructured datasets.
Arabesque AI to Launch New Prediction Engine Using Machine Learning
The firm is working with different machine-learning methods for portfolio construction, and expects its AI system to go live early next year.
Natural Language Generation: Great Promise, Significant Barriers
Sell-side firms and data providers are increasingly experimenting with natural-language generation to create new forms of automatically curated reports, emails and alerts, but the technique comes with significant challenges.
Bloomberg Enlists NLG to Write News Summaries
The data provider is using natural language generation to summarize news articles and write automated stories.
UBS AM’s Quant & Data Science Unit Looks to Blend Human & Machine in 2021
The QED team within the asset manager is aligning its focus next year to deliver a holistic AI platform to its investment professionals—including a recommendation engine.
Waters Wrap: Machine-Learning Models Suffer from Covid (And Exchanges in the Cloud, Pt. 2)
Anthony says that while machine-learning models have been hit-and-miss during the pandemic, NLP is taking on greater importance. He also looks at how exchanges are looking to move their core matching engines to the cloud.
Model Misfires Raise Questions Over Training Data
Quants wrestle with how far into the past their machine learning models should peer.
Nasdaq Looks to Contextualize ESG Ratings
The exchange's ESG Footprint converts ESG data into everyday metrics to show investors the impact of their portfolios.
People Moves: Liquidnet, Quandl, State Street, CloudMargin, Greenwich Associates, Mediant, GLMX
A look at some of the key people moves from this week, including Steven Nichols (pictured) who has been appointed head of NLP and unstructured data at Liquidnet.
China’s AI Expansion Could Shift the Fintech Balance of Power
Wei-Shen thinks about how the battle for supremacy in AI will evolve in the near future, and what the implications of China’s advances in the field might mean for Wall Street technology.
Waters Wrap: Exploring New Ideas in the Alt Data Market (And Some Election Notes)
Anthony takes a look at some new alternative data offerings coming to market, and also explains why there’s so little election coverage on this website.
RavenPack Adopts 'NLP-as-a-Service' Model with Focus on Firms' Internal Data
The news sentiment and analysis specialist wants to help banks tap into the datasets they sit on every day, but don't yet possess the capabilities to use.
Waters Wrap: Goldman’s Marquee Move a Sign of Larger Industry Shift (And Refinitiv’s API Rebrand)
Anthony explores changing concept of a trading platform, and what that might mean for the future of tech development.
Citi Readies Price-Shock Detection System
Once the bot is in production, the D10X team will start scaling it beyond the oil trading team to other trading desks.
Wavelength Podcast Ep. 217: Citi Ventures’ Victor Alexiev on Problem Solving
Victor explains how Citi Ventures—Citibank’s corporate venture arm—and the D10X program approaches challenges.
Jefferies' Quant Team Builds Chatbot For Faster Equities Trading
In minutes, JEFQuants compiles information from multiple sources into a unique data package based on traders' queries.
Waters Wrap: The M&A Market Heats Up (And Some Quantum Computing News)
What do Liquidnet and Trading Technologies (and others) have in common? Anthony explains. He also discusses advancement—and disillusionment—in the quantum space.
Deutsche Bank First Looks to Interop, Chatbot Projects After Partnering with Google
The bank will look to enhance existing capabilities and potentially introduce new solutions with Google’s help.
Manulife Refines ESG Methodology and Plugs Data Gaps with NLP
The asset manager has adopted materiality tools, industry handbooks, and NLP techniques to help navigate ESG data limitations.
Fund Managers Seek to Plug Holes in ESG Data
Quant funds are striving to adjust their ESG models to take into account changes in corporate behavior during the pandemic.