Trading Tools
Goldman Sachs, IBM Lay Out Quantum Project for Derivatives Pricing
The two firms spent the better part of 2020 developing a detailed analysis of the quantum computing resources needed to achieve quantum advantage in derivatives pricing. Execs from IBM and Goldman explain why this benchmark is important for future…
Not so Fast: SEC’s SIP Rule Speeds Ahead, But Faces Bumpy Road
Jo is skeptical that the SEC’s finalized market data infrastructure rule will make the public market data feeds faster.
Waters Wrap: App Interop in 2020 (And Tony’s Fave Stories From Last Year)
Anthony takes a look at some of the major projects that involved application interoperability from last year. The list includes feats by Goldman Sachs, BlackRock, Barclays, ICE, State Street, Refinitiv, and FactSet.
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.
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.
Waters Wrap: SS&C Advent & Refinitiv Refine Cloud Plans (And Some Fixed Income Bits)
Anthony looks at how two major tech companies in the capital markets space are evolving their cloud strategies and what they might mean for the industry at large.
SS&C Advent Looks to the Cloud for Future Tech Deployments
After the rollout of its Genesis platform, SS&C Advent is now thinking about how it can transition platforms like Geneva, Moxy, and APX to the cloud, though it’s a long-term project.
MarketAxess Eyes Predictive Capabilities for Fixed Income Liquidity
The trading platform is working to develop its pre-trade automation capabilities to predict a bond’s likelihood of execution, and helping buy-side clients navigate fixed income trading protocols.
Cosaic Debuts Options Analytics Charting, Sentiment Study
The new offering will provide flexibility for firms who want front-, middle-office staff, and clients to use the same analytics, but where vendor services would be prohibitive.
ICE ‘Bonds’ Acquisitions into Fixed-Income Powerhouse
In this profile of the Intercontinental Exchange, Lynn Martin explains how the company’s ICE Data Services unit is creating a unified offering with fixed income data at its core, after a series of acquisitions that began with its purchase of IDC in 2015.
Machine Learning will Create New Sales Bots on Trading Desks
Technologists are working to automate indications of interest from trading desks, according to UBS’s head of machine learning.
Case Studies: Two Hedge Funds Incorporate Behavioral Analytics to Optimize Performance
Regardless of fund type, portfolio managers can analyze their trade data and behavior to make improvements, according to Essentia Analytics’ CEO.
This Week: Janus/SS&C; Wolters Kluwer; Tora/Neptune; Standard Chartered/Northern Trust; SimCorp; & More
A summary of some of the past week's financial technology news.
At the ‘Fringes of Realism’: Agent-Based Models Take Hold Among Quants
Agent-based modeling has taken root seemingly everywhere throughout the last decade, from theoretical physics, to military operations, to public health, to ride-sharing apps like Uber, and to a much lesser extent, finance. However, a year such as 2020…
Startup Hedge Fund Turns to Quantamental Analysis for ESG Products
Boston-based Changebridge Capital is using a hybrid approach to find investment opportunities in misunderstood small- and mid-cap companies.
Waters Wrap: S&P-IHS Markit and the Land of Giants (Also, More on AML Tech)
Anthony provides some of his initial questions and thoughts following the S&P-IHS Markit deal. He also takes a second look at AML technology after getting some sage feedback.
‘Massive Land Grab’: S&P’s IHS Markit Buy Creates Data Juggernaut, But Users Fear Price Hikes
The deal reflects the broader trend of market participants pursuing scale to create true front-to-back trading and data environments, which may signal a trading platform acquisition in the future—though the IHS Markit acquisition may face regulatory…
Capital Markets Face Learning Curve with Container Tech
Technology vendors have begun adopting Kubernetes and Docker to speed up application development and deployment at banks, but rethinking old ways will not be easy.
Bloomberg Enlists NLG to Write News Summaries
The data provider is using natural language generation to summarize news articles and write automated stories.
Qontigo Releases New 'Linked' Risk Model Covering Global Equities
The new offering blends existing Axioma risk models into a single, nuanced risk assessment.
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.
Aquis Slashes 'Jitter' in Cloud Project
In a recent proof-of-concept with AWS and SGX, Aquis demonstrated significant jitter reduction.