“There was widespread agreement that Big Data and Machine Learning is transforming the investment landscape across different trading frequencies, with more than 80% of participants expecting a reduction in relevance of traditional data sources…” – JP Morgan Big data is transforming the investment industry Our post earlier this year noting that 2017 is the year […]
Category: Big Data
Clarity clears the clouds of AI and ML in big data
No doubt you know by now that this must be the year for Big Data in the financial markets. The other large topics in alternative market data and research for the capital markets arenas; are the application of machine learning and artificial intelligence. One of the questions that continues to arise is how these technologies […]
Aircraft carriers, the financial capitol of the world and alternative market data
Join Us in New York to extend your Alpha Meet us in NYC on June 14, 2017 to learn more about RelateTheNews’s proprietary sentiment analysis of news and text based big-data for the capital markets. From quant hedge funds to leading asset managers, market participants are benefiting from RelateTheNews data to drive alpha and manage risk throughout […]
Managing Risk in alternate market data
This last week a report from Bloomberg News of a prominent alternate market data provider being fined by the SEC due to alleged stock promotion scams brought to light a potential risk when using alternate market data. Combined with the ever present concept of fake news these are cautionary tales that financial institutions and traders must extend […]
Pythons, Pandas and more – The Big Data Zoo for Stock Markets
Many of the world’s largest hedge funds employ some of the most talented data scientists, quants and computer engineers; often exceeding the supposed intellectual capabilities of firms such as Google or Apple. These engineers, scientists and quants spend their days seeking new ways to create alpha. Often in the pursuit of building these new trading algorithms a […]
Hedge fund industry continues to grow and adapt with the rapid progress of FinTech
Hedge fund industry continues to grow and adapt with the rapid progress of FinTech As discussed in “Trading places: the rise of the DIY hedge fund” by Greg Williams one result is the rise of the individual quant hedge fund using platforms and tools “that would enable quants to conduct activities without the need for […]
Analyzing over 84000 articles in a single year to drive actionable market insights
At RelateTheNews we provide valuable, repeatable and actionable insights into financial market news sentiment. Repeatability is essential to market participants (ie hedge funds, quant hedge funds, asset management firms, etc.) when building their investment models and implementation algorithms. To meet this need of repeatability RelateTheNews insures that our sentiment analysis engine is versioned and our sentiment […]
MIFID II bringing research unbundling and new forms of research to the U.S.
MIFID II’s research unbundling requirements begin to take full effect in 2018 and global asset management firms are responding by standardizing their approach across regions. As these global firms continue to adapt to the ever changing regulatory environment; Greenwich Associates recent report covered by The Trade “found large buy-side firms with a presence in multiple […]
2017 is the Year of Alternative Data
Alternative market data (satellite photos, sentiment analysis of news & big data, receipt information, and more) is beginning its moment of greater adoption and importance across Wall Street. Already this year Greenwich Associates published their Alternative Data for Alpha report finding that “The buy side today has access to data and information that would have […]
Saving 360,000 hours each year with automated analysis
Embed from Getty Images This last week Bloomberg news put out a great look at JP Morgan‘s COIN (Contract Intelligence) service. JP Morgan continues to show large corporation leadership in the FinTech arena. With this latest announcement JP Morgan proves yet again that applying machine learning, machine analysis and computing power does provide an […]