February 22, 2023
Explore how our cutting-edge language AI is impacting the world of algorithmic trading.
The second CUATS Quant Conference will bring together academics and leaders in the quant industry on 22 February, in Cambridge (UK).
Our team will be present at the event to tell you more about:
Predicting macro indicators such as inflation or GDP better and faster, with News Analytics.
Generating more alpha through Workforce Intelligence.
Capturing opportunities during Earnings season by tapping research-driven combinations of alternative datasets.
Contact us ahead of the event to meet with our team and learn more about the latest developments in Language AI that impact algorithmic trading.
When: 22 February 2023
Where: William Mong Hall at Sidney Sussex College, Cambridge, UK
See full agenda here
Carlos is in charge of showcasing the many different features, innovations and developments of RavenPack globally. He prides himself on providing the utmost support and assistance to clients and maintaining long standing relationships with them. Throughout his professional career he's been part of a secondary market liquidity provider, an independent financial advisory and an associate under the International Wealth Management Advisory Department at Scotiabank overseeing over 500MM in AUM.
High inflation has returned in developed markets after decades of lying low. In our latest paper, we show how to build an inflation-based asset allocation strategy using sentiment data and we illustrate that sentiment-based strategies outperform models that depend merely on past observed inflation values.
This year's RavenPack Research Symposium brought two intense days of knowledge sharing in London and New York, from 25 top experts in natural language processing, quantitative investing and machine learning. Together, we explored how firms can leverage new language models to generate alpha, better manage risk and respond to calls for more sustainable investment practices.
Human capital is at the heart of value creation. Our latest research demonstrates how unprecedented workforce insights, sourced from over 200 million job postings, can generate more alpha.
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