Natural language processing
Finra taps AWS for next-gen regulatory search tools
A long-time AWS client, Finra is using a combination of AWS tools and its own knowledge graph to generate better search results.
Ping An Asset Management zooms in on NLP models for sentiment analysis
The asset management arm of Ping An Insurance (Group) Company of China is enhancing its NLP models to solve complex, non-linear challenges such as overfitting.
Vendors add surveillance support for WhatsApp alternatives
Concerns about data leakage have driven some users to rival privacy-focused messaging apps like Telegram and Signal, as WhatsApp policy changes come into force on May 15.
Banks, asset managers weigh trade-offs in third-party tools for machine learning
Although many banks and asset managers still prefer to build models in-house, off-the-shelf products are maturing.
GameStop post-mortem: Alt data world confronts eroding barrier between online and real life
After Redditors staged an epic short squeeze against a handful of hedge funds, some in the industry are left wondering whether today’s models and data techniques are prepared for world where online often equals real life.
OTC FX options market gears up for faster electronification
The share of electronic trading in the market remains low, but a host of factors promise to change that for good.
PanAgora’s CIO & head of sustainable investing explain firm’s ESG framework, best practices
Waters Wavelength Podcast Interview Series: PanAgora’s George Mussalli and Mike Chen hit on topics including building predictive models using point-in-time data, and balancing ESG portfolios.
JP Morgan AM develops AI quant tool that uses mind maps to build thematic funds
ThemeBot uses textual relevance and revenue attribution to construct a list of stocks, which is then verified by JPMAM’s active equity analysts.
GreenKey aims to productize new research chatbot after winning Symphony hackathon
The company is consulting with buy-side and sell-side clients on how its newly developed GK Research Bot can best solve their research and information overload woes.
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.