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Quantitative Equity Data: Alpha Signals

Learn more about Quantitative Equity Data: Alpha Signals
A global library of alpha signals for investment management, stock selection, idea generation, risk management and portfolio exposure analysis

Gain valuable investment insights through Alpha Signals’ comprehensive factor library of global stock selection and strategy signals. Alpha Signals provides over 800 investment signals covering more than 30,000 securities in 80 countries, supporting security selection and strategy development. These factors are based on quantitative research and extracted from a variety of data sources, including fundamental, technical, industry-specific, proprietary, and alternative data sources, and are designed to help asset managers expedite return generation goals.

Alpha Signals offers a wide range of fully-integrated quantitative data & research services, with data standardized across indicators and regions. Our core quantitative data offering is complemented by a rich set of analytical tools that support sophisticated factor performance analysis, bespoke model development, stock screening and other functionality for quantamental and fundamental investors.

Key benefits:

  • Efficiency – point-in-time out-of-sample history mapped to variety of identifiers and free of biases
  • Extensive coverage – more than 30,000 securities across 80 countries
  • Dedicated support – Leverage our experienced team of quant researchers
  • Transparency – vast library of whitepapers and factor definitions
  • Robust analytics –Use web-based analytical tools to analyze factor performance and generate new ideas

Learn more about Alpha Signals
REQUEST INFORMATION
FREE 31-day trial access Sign up for a free 31-day trial to Alpha Signals
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Webinar: Unlocking the predictive power of equities data
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800+

investment signals

20+

years of data history

30+

data sources

Alpha Signals Factor Library

Build your Quantitative Equity Strategies by using factors from these categories

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Fundamental factors and models

Investment signals derived from key global investment themes and varies by region. 400+ global factors and 30 traditional style models
Learn More

Industry specific factors

Gain insights into the success of business operations across different industries ranging from airlines, automotive, to banking, insurance, retail and many more with a unique focus on industry-specific characteristics
Learn More

Proprietary & Alternative factors

Get a leg-up while investing using signals from our proprietary alternative datasets and specialty insights sourced across markets & industries
Learn More

Web-based Analytics & Research Platform

The Alpha Signals Platform is a robust analytics and signal management system built around our extensive factor suite. In addition to a full array of performance and correlation measures, the system offers detailed definitions and supporting research publications to help navigate the library.


Disclaimer The information contained in this presentation is confidential. Any unauthorized use, disclosure, reproduction, or dissemination, in full or in part, in any media or by any means, without the prior written permission of S&P Global Ltd. or any of its affiliates ("S&P Global") is strictly prohibited. S&P Global owns all S&P Global logos and trade names contained in this presentation that are subject to license. Opinions, statements, estimates, and projections in this presentation (including other media) are solely those of the individual author(s) at the time of writing and do not necessarily reflect the opinions of S&P Global. Neither S&P Global nor the author(s) has any obligation to update this presentation in the event that any content, opinion, statement, estimate, or projection (collectively, "information") changes or subsequently becomes inaccurate. S&P Global makes no warranty, expressed or implied, as to the accuracy, completeness, or timeliness of any information in this presentation, and shall not in any way be liable to any recipient for any inaccuracies or omissions. Without limiting the foregoing, S&P Global shall have no liability whatsoever to any recipient, whether in contract, in tort (including negligence), under warranty, under statute or otherwise, in respect of any loss or damage suffered by any recipient as a result of or in connection with any information provided, or any course of action determined, by it or any third party, whether or not based on any information provided. The inclusion of a link to an external website by S&P Global should not be understood to be an endorsement of that website or the site's owners (or their products/services). S&P Global is not responsible for either the content or output of external websites.
Copyright © 2018, S&P GlobalTM. All rights reserved and all intellectual property rights are retained by S&P Global.

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Experts

Chris Hammond

Chris is the global head of the Research Signals product. He leads the team's research and new product development strategy and oversees a team of quantiative analysts. He is experienced with numerous quantitative strategies and datasets, and has led the team's innovation into areas such as short squeeze signals, social media sentiment, and cybersecurity risk.He is a member of the CFA Society of Chicago and the Chicago Quantitative Alliance. As a graduate in 2007, Chris joined Quantitative Services Group, which in 2011 was acquired by IHS Markit (now part of S&P Global).He earned his B.S.B.A. in Finance from Washington University in St. Louis, US.

  • Financial Services
  • Equities
  • Alternative Data
  • Environmental, Social and Governance (ESG)
  • Equities
  • Equity Capital Flows
  • Equity Markets
  • Quantitative Research
View Profile

Aditya Sharma

Aditya is a quantitative product specialist who joined S&P Global in April 2021. Previously, he has held Data Science and Strategy roles with global remit at Western Union Business Solutions in London and Social Market Analytics, Inc in Chicago. Aditya has worked closely on projects involving machine learning and natural language processing application in Finance.Aditya holds a Master of Science Degree in Finance from Illinois Institute of Technology, United States and Bachelor of Technology Degree in Electronics and Communication Engineering from National Institute of Technology, India. He is a current member of CFA UK Society.

  • Financial Services
  • Capital Markets
  • Equities
  • Financial Risk
  • Alternative Data
  • Quantitative Research
View Profile

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