5 Signs The Financial Sector Has Entered a Big Data and Machine Learning Revolution

March 20, 2018

Armando Gonzalez, RavenPack CEO, discusses the 5 key signs that the financial sector has entered a big data and machine learning revolution. Watch this short video from his presentation and read more insights.

News Buzz Impacts Stock Returns

RavenPack | February 22, 2018

data science

We test the assumption that more important events will get higher media coverage, attract the attention of investors, and result in greater price impact.

Beyond Excess Returns: How to Enhance Sentiment Strategies using MSCI Barra Risk Models

Peter Hafez - Chief Data Scientist - RavenPack | November 15, 2017

data science

For simplicity, researchers often use excess returns when evaluating the efficacy of a trading signal. This is equivalent to assuming just a single risk factor (the market) with constant factor exposure (𝛽=1)

10 Tips to Avoid an Alternative Data Hangover

Susan Perry-Livett, Editor at RavenPack | February 22, 2018

big data perspectives

Our CEO Armando Gonzalez offers an informative, insightful and thought provoking presentation titled "10 Tips to Avoid an Alternative Data Hangover." He has come up with 10 key questions that financial institutions should be asking when they decide on an alternative data vendor.

5 Signs The Financial Sector Has Entered a Big Data and Machine Learning Revolution

March 20, 2018

big data perspectives

10 Tips to Avoid an Alternative Data Hangover

Susan Perry-Livett, Editor at RavenPack | February 22, 2018

big data perspectives

News Buzz Impacts Stock Returns

RavenPack | February 22, 2018

data science

We test the assumption that more important events will get higher media coverage, attract the attention of investors, and result in greater price impact.

How to use Natural Language Processing in Quant Investing

Peter Hafez - Chief Data Scientist - RavenPack | July 11, 2017

data science

In the face of an ever-increasing amount of financial news, investors need the right tools to cut through the noise to uncover the signal behind the latest move in the markets. RavenPack comes to the aid of market professionals with its state-of-the-art Natural Language Processing (NLP) solution.

J.P. Morgan’s Guide to Big Data and AI Strategies

Peter Hafez - Chief Data Scientist - RavenPack | May 29, 2017

data science

The new J.P. Morgan report provides a framework for machine learning and big data investing and shows how to trade Global Macro strategies using RavenPack Analytics.

Video introduction to RavenPack's self-service data and visualization platform

April 05, 2017

vlog

Our CEO Armando Gonzalez introduces RavenPack's new self-service data and visualization platform, highlighting how we now add value to both quantitative investors and fundamental managers.

Discover the RavenPack Platform

We offer more than 90 dashboards, built with over 150 curated datasets and powerful visualisation tools.

DISCOVER THEM HERE

5 Signs The Financial Sector Has Entered a Big Data and Machine Learning Revolution

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News Buzz Impacts Stock Returns

Beyond Excess Returns: How to Enhance Sentiment Strategies using MSCI Barra Risk Models

10 Tips to Avoid an Alternative Data Hangover

5 Signs The Financial Sector Has Entered a Big Data and Machine Learning Revolution

10 Tips to Avoid an Alternative Data Hangover

News Buzz Impacts Stock Returns

How to use Natural Language Processing in Quant Investing

J.P. Morgan’s Guide to Big Data and AI Strategies

Video introduction to RavenPack's self-service data and visualization platform

Discover the RavenPack Platform