The firm is using the platform as a comparison tool as it evolves its fund offerings.
Dealers say the agencies’ request for info could prompt new rules that stifle model innovation.
While some alternative data providers are jumping in on the meme-stock craze by producing new datasets and analyses geared toward risk management and alpha generation, others—perhaps rightly so—are staying cautious.
The bank’s client segmentation offering creates more targeted post-trade offerings, while its prediction engine can help reduce settlement failures.
The Nordic bank is looking for ways to mitigate costs as software vendors define new policy categories to capture robotic workers.
Anthony explains why he thinks ESG will play a major role in the anticipated market data consolidation that’s to come. He also looks at moves made by some exchanges to cut out the data vendor middleman.
Big speed-ups for quantum-powered models could prompt bigger questions from regulators.
Socially responsible investors are putting their money where their mouth is—in ever-increasing amounts. With insatiable demand for new datasets and analytics to support these strategies, it’s not surprising that every data vendor wants a slice of the ESG…
Evolutions in the realms of cloud, AI, and surveillance/encryption are making the possibility of a decentralized trading ecosystem more real. Anthony looks at how progress in these areas—as well as the interoperability push—will forever change the…
After quietly pulling its Finos membership this year, OpenFin’s involvement—at least in the public forum that governs it—with the interop standard it has championed for years, continues to dip. Though the vendor has re-affirmed its commitment to FDC3…
In recent years, the major cloud providers have expanded their service offerings specific to capital markets firms. Some industry observers believe it’s just a matter of time until they get involved in market data M&A activity.
Aiden, a trading platform launched last year, is the product of five years of experimentation with deep learning by RBC Capital Markets on top of an additional five years of hypothesizing about what best execution would one day require.
The $110 billion quant investor is creating an automated system to spot greenwashers.
The Frankfurt-based asset manager is using machine learning to look at the performance of stocks with low returns, high-growth.
A long-time AWS client, Finra is using a combination of AWS tools and its own knowledge graph to generate better search results.
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.
Anthony previews some of the major trend topics that WatersTechnology will look to cover over the next eight months.
The asset manager is using machine learning to estimate carbon footprints for companies that do not report emissions.
Although many banks and asset managers still prefer to build models in-house, off-the-shelf products are maturing.
In addition to growing their cloud presence in the capital markets, Big Tech companies are, unsurprisingly, taking the lead on encryption and security in the cloud. Anthony sees positives and negatives. He also looks at bank-led consortiums.
Augmenting graph analytics with AI can detect more complicated anomalies, vendors say.
A summary of some of the past week’s financial technology news.
The newly-acquired data giant targets the sell side with a suite of new risk-based applications meant to help banks with the transition from Libor, which is expected for the end of this year.
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.