For years, the mantra of the market data world has been ‘content is king.’ But with trading strategies now more dependent on being able to see the big picture, the value of context could quickly overtake the data itself.
Join WatersTechnology for a look back at the most absurd stories of the year—Reddit/GameStop, the advent of meme stocks, and QAnon—and what they mean for you.
To show how ML and NLP are spreading across the industry, WatersTechnology highlights 20 stories from the last 12 months that feature unique uses of AI.
A summary of some of the past week’s financial technology news.
Sycomore Asset Management is preparing to roll out an expansion of how it uses the vendors’ combined platforms to be able to create and share targeted thematic investment data across its organization.
Rebecca examines the tangled web woven between Reddit, meme stocks, and QAnon, and asks how well prepared data providers looking to jump on the meme stocks bandwagon are to recognize organized disinformation campaigns.
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.
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…
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.
GTCOM-US, once a bespoke alt data shop for the buy side, has narrowed its offering to focus on Chinese datasets as the largest alt data players get even bigger.
Anthony takes a look at the alternative data industry post-GameStop, and wonders about Ion Group’s strategy going forward after recent acquisitions.
With traditional ratings agencies facing increased hostility from financial firms, new entrants are hoping to reshape ratings. But will fresh approaches appeal to an industry underwhelmed by existing offerings?
While market data departments are rarely highlighted when it comes to innovation, Max says that doesn’t mean there aren’t disruptive tech projects underway.
Support for the little guys (and girls!) of retail investing has been encouraging to witness, but when it comes to GameStop, Wei-Shen wonders what the bigger picture shows.
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.
While the Biden administration is already targeting environmental issues with early executive orders, Anthony says that it’s financial giants that will have the greatest effect on ESG investing in the near-term.
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.
Economists at the bank leveraged a combination of public and third-party data to make conclusions about the future during uncertain times.
WatersTechnology looks at how 10 different firms are embedding machine learning algorithms into their platforms and tools.
The exchange's ESG Footprint converts ESG data into everyday metrics to show investors the impact of their portfolios.
Already well established as an alpha-enhancing input to equities trading, sentiment data is now being applied to other asset classes, starting with foreign exchange.
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.
What do Liquidnet and Trading Technologies (and others) have in common? Anthony explains. He also discusses advancement—and disillusionment—in the quantum space.
Waters Wrap: How Cloud, APIs, and Open Source Are Changing the World of Fintech (And Blockchain's ZTA Play)
Anthony looks at how the lines that have traditionally defined the world of "fintech" are blurring. Also, can blockchain help with ZTA's advancement?