Data Driven Investing Website
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Data Driven Investing Website
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Author : Matei Zatreanu
language : en
Publisher: Wiley
Release Date : 2025-04-29
Data Driven Investing Website written by Matei Zatreanu and has been published by Wiley this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-29 with Business & Economics categories.
Implement a data-driven investment strategy The investing landscape is increasingly driven by big data and artificial intelligence. For most finance professionals, big data, statistics, and programming are outside their comfort zone. Yet, proficiency in these areas is becoming a prerequisite for successful investing. And while there are plenty of resources on these individual topics, what is missing is a framework for combining these disciplines for investment purposes. Data-Driven Investing shows readers how investment decisions can be made or improved through the use of alternative datasets and inference techniques. The author covers artificial intelligence algorithms, data visualization, and data sourcing to show how these components come together to form a more robust investment strategy. The goal is to help finance professionals prepare for an investing landscape increasingly driven by big data and artificial intelligence. Shows how investing wisdom can be harnessed through science and augmented by data Demonstrates how an augmented investing philosophy promises a deeper understanding of future economic performance Is essential reading for fund managers, research analysts, quantitative investors, data scientists, and general finance professionals Includes a companion website with code, data sets, and videos providing more in-depth information on augmented/data-driven investing This book comes at a time of increasing investor anxiety with lackluster hedge fund performance, which is causing many funds to explore data-driven investing as a possible evolution of their strategies.
Data Driven Investing
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Author : Mitchell R. Hardy
language : en
Publisher: COGNITION CAPITAL MANAGEMEN
Release Date : 2004
Data Driven Investing written by Mitchell R. Hardy and has been published by COGNITION CAPITAL MANAGEMEN this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Business & Economics categories.
The Research Driven Investor
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Author : Timothy Hayes
language : en
Publisher: McGraw-Hill Companies
Release Date : 2001
The Research Driven Investor written by Timothy Hayes and has been published by McGraw-Hill Companies this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Business enterprises categories.
The editor of "Investment Strategy" shows how individual investors can access institutional-quality tools, data, and indicators and consistently beat the market. Hayes presents walk-through examples of a wide variety of investment models based on more than 100 years of stock market data and research from Ned Davis Research to achieve top results. 120 illustrations. 60 tables.
Alternative Data
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Author : Mani Mahjouri
language : en
Publisher: Wiley
Release Date : 2024-06-12
Alternative Data written by Mani Mahjouri and has been published by Wiley this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-12 with Business & Economics categories.
Shift the balance of power from company to investor through intensified use of data Alternative Data opens a gateway to the future of investing, using Open Halo technology to provide real-time performance analysis and breathtaking data visualization. Once solely available to the elites, this technology utilizes observational and transactional data covering vast numbers of stocks to analyze and forecast a company’s performance, often months ahead of any official announcement. This book shows you how to leverage this capability to make smarter investment decisions and predict market moves based on much more than conjecture. Imagine if you could access satellite imagery showing that a particular store’s parking lot was always full, correlated with credit card transactions showing a spike in sales, alongside social media analysis indicating an unprecedented rate of content generation from inside the store—what would you do with that information? A month later, when the company announces a breakthrough in sales, you’re ahead of the game. This granular level of analysis is set to become the de facto standard for smart investors, and now is a great time to start getting out in front of the pack. This book takes you inside the datasets and shows you how to turn them into profit. The companion website features interactive videos that reinforce major topics, giving you everything you need to start getting creative with data. Leverage Open Halo technology to visualize highly complex market phenomena Learn how to turn transactional and observational data into smart investing moves Get ahead of the curve by conducting a more granular analysis Forecast performance in real time with systematic evaluation of large swaths of stocks Today’s investors have access to data at an unprecedented scale; failing to leverage that data is like leaving money on the table. Alternative Data is your key guide for getting up and running with next-level visualizations that fuel smart decisions in any market.
Data Driven Innovation Big Data For Growth And Well Being
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Author : OECD
language : en
Publisher: OECD Publishing
Release Date : 2015-10-06
Data Driven Innovation Big Data For Growth And Well Being written by OECD and has been published by OECD Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-06 with categories.
This report improves the evidence base on the role of Data Driven Innovation for promoting growth and well-being, and provide policy guidance on how to maximise the benefits of DDI and mitigate the associated economic and societal risks.
Applications Of Computational Intelligence In Data Driven Trading
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Author : Cris Doloc
language : en
Publisher: John Wiley & Sons
Release Date : 2019-11-05
Applications Of Computational Intelligence In Data Driven Trading written by Cris Doloc and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-05 with Business & Economics categories.
“Life on earth is filled with many mysteries, but perhaps the most challenging of these is the nature of Intelligence.” – Prof. Terrence J. Sejnowski, Computational Neurobiologist The main objective of this book is to create awareness about both the promises and the formidable challenges that the era of Data-Driven Decision-Making and Machine Learning are confronted with, and especially about how these new developments may influence the future of the financial industry. The subject of Financial Machine Learning has attracted a lot of interest recently, specifically because it represents one of the most challenging problem spaces for the applicability of Machine Learning. The author has used a novel approach to introduce the reader to this topic: The first half of the book is a readable and coherent introduction to two modern topics that are not generally considered together: the data-driven paradigm and Computational Intelligence. The second half of the book illustrates a set of Case Studies that are contemporarily relevant to quantitative trading practitioners who are dealing with problems such as trade execution optimization, price dynamics forecast, portfolio management, market making, derivatives valuation, risk, and compliance. The main purpose of this book is pedagogical in nature, and it is specifically aimed at defining an adequate level of engineering and scientific clarity when it comes to the usage of the term “Artificial Intelligence,” especially as it relates to the financial industry. The message conveyed by this book is one of confidence in the possibilities offered by this new era of Data-Intensive Computation. This message is not grounded on the current hype surrounding the latest technologies, but on a deep analysis of their effectiveness and also on the author’s two decades of professional experience as a technologist, quant and academic.
The Book Of Alternative Data
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Author : Alexander Denev
language : en
Publisher: John Wiley & Sons
Release Date : 2020-07-21
The Book Of Alternative Data written by Alexander Denev and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-21 with Business & Economics categories.
The first and only book to systematically address methodologies and processes of leveraging non-traditional information sources in the context of investing and risk management Harnessing non-traditional data sources to generate alpha, analyze markets, and forecast risk is a subject of intense interest for financial professionals. A growing number of regularly-held conferences on alternative data are being established, complemented by an upsurge in new papers on the subject. Alternative data is starting to be steadily incorporated by conventional institutional investors and risk managers throughout the financial world. Methodologies to analyze and extract value from alternative data, guidance on how to source data and integrate data flows within existing systems is currently not treated in literature. Filling this significant gap in knowledge, The Book of Alternative Data is the first and only book to offer a coherent, systematic treatment of the subject. This groundbreaking volume provides readers with a roadmap for navigating the complexities of an array of alternative data sources, and delivers the appropriate techniques to analyze them. The authors—leading experts in financial modeling, machine learning, and quantitative research and analytics—employ a step-by-step approach to guide readers through the dense jungle of generated data. A first-of-its kind treatment of alternative data types, sources, and methodologies, this innovative book: Provides an integrated modeling approach to extract value from multiple types of datasets Treats the processes needed to make alternative data signals operational Helps investors and risk managers rethink how they engage with alternative datasets Features practical use case studies in many different financial markets and real-world techniques Describes how to avoid potential pitfalls and missteps in starting the alternative data journey Explains how to integrate information from different datasets to maximize informational value The Book of Alternative Data is an indispensable resource for anyone wishing to analyze or monetize different non-traditional datasets, including Chief Investment Officers, Chief Risk Officers, risk professionals, investment professionals, traders, economists, and machine learning developers and users.
The Future Of Finance With Chatgpt And Power Bi
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Author : James Bryant
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-12-29
The Future Of Finance With Chatgpt And Power Bi written by James Bryant and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-29 with Computers categories.
Enhance decision-making, transform your market approach, and find investment opportunities by exploring AI, finance, and data visualization with ChatGPT's analytics and Power BI's visuals Key Features Automate Power BI with ChatGPT for quick and competitive financial insights, giving you a strategic edge Make better data-driven decisions with practical examples of financial analysis and reporting Learn the step-by-step integration of ChatGPT, financial analysis, and Power BI for real-world success Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionIn today's rapidly evolving economic landscape, the combination of finance, analytics, and artificial intelligence (AI) heralds a new era of decision-making. Finance and data analytics along with AI can no longer be seen as separate disciplines and professionals have to be comfortable in both in order to be successful. This book combines finance concepts, visualizations through Power BI and the application of AI and ChatGPT to provide a more holistic perspective. After a brief introduction to finance and Power BI, you will begin with Tesla's data-driven financial tactics before moving to John Deere's AgTech strides, all through the lens of AI. Salesforce's adaptation to the AI revolution offers profound insights, while Moderna's navigation through the biotech frontier during the pandemic showcases the agility of AI-focused companies. Learn from Silicon Valley Bank's demise, and prepare for CrowdStrike's defensive maneuvers against cyber threats. With each chapter, you'll gain mastery over new investing ideas, Power BI tools, and integrate ChatGPT into your workflows. This book is an indispensable ally for anyone looking to thrive in the financial sector. By the end of this book, you'll be able to transform your approach to investing and trading by blending AI-driven analysis, data visualization, and real-world applications.What you will learn Dominate investing, trading, and reporting with ChatGPT's game-changing insights Master Power BI for dynamic financial visuals, custom dashboards, and impactful charts Apply AI and ChatGPT for advanced finance analysis and natural language processing (NLP) in news analysis Tap into ChatGPT for powerful market sentiment analysis to seize investment opportunities Unleash your financial analysis potential with data modeling, source connections, and Power BI integration Understand the importance of data security and adopt best practices for using ChatGPT and Power BI Who this book is for This book is for students, academics, data analysts, and AI enthusiasts eager to leverage ChatGPT for financial analysis and forecasting. It's also suitable for investors, traders, financial pros, business owners, and entrepreneurs interested in analyzing financial data using Power BI. To get started with this book, understanding the fundamentals of finance, investment, trading, and data analysis, along with proficiency in tools like Power BI and Microsoft Excel, is necessary. While prior knowledge of AI and ChatGPT is beneficial, it is not a prerequisite.
Quantamental Investing
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Author : Qiwei Shi Hans Kullberg
language : en
Publisher:
Release Date : 2017-09-09
Quantamental Investing written by Qiwei Shi Hans Kullberg and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-09 with categories.
The World of Investing has increasingly become a competitive field with evermore resources being allocated to chasing fewer market opportunities. The experimental Quantitative Easing policies of Global Central Banks combined with a Global Zero-Interest Rate Policy for almost a decade has driven investors to hunt for returns using innovative approaches. The strategic deployment of Big Data has enabled investors to analyze extremely large data sets in revealing patterns, trends, and associations, especially relating to human behavior and interactions in markets. An astute investment strategy should have a unique perspective on the current market environment and wholly understand why certain patterns are occurring or which catalysts may derail an otherwise resilient strategy. By utilizing a hybrid combination of systematic processing of Big Data and pattern recognition along with a fundamental overlay approach of understanding the global macro and political economy, one can harness a market edge disparate from experts in each domain individually. That is the very definition of a "market edge" - finding a unique way of viewing the world and deploying a strategy that cannot be arbitraged away or replicated by a competitor. That is why we believe in Quantamental Investing as a superior strategy to navigate the increasingly hyper-competitive investment landscape and build robust returns. This book will reveal just a few insights ranging from seasonal patterns and statistical anomalies to market behaviors and characteristics that can easily be revealed through the utilization of Big Data. These simple studies contained in this book are just a small snippet of the potential power of Big Data, helping to build a savvy investor's market intelligence, navigate an increasingly competitive financial landscape and capitalize on investment opportunities through the Power of Quantamental Investing.
The Big Data Driven Business
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Author : Russell Glass
language : en
Publisher: John Wiley & Sons
Release Date : 2014-11-06
The Big Data Driven Business written by Russell Glass and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-06 with Business & Economics categories.
Get the expert perspective and practical advice on big data The Big Data-Driven Business: How to Use Big Data to Win Customers, Beat Competitors, and Boost Profits makes the case that big data is for real, and more than just big hype. The book uses real-life examples—from Nate Silver to Copernicus, and Apple to Blackberry—to demonstrate how the winners of the future will use big data to seek the truth. Written by a marketing journalist and the CEO of a multi-million-dollar B2B marketing platform that reaches more than 90% of the U.S. business population, this book is a comprehensive and accessible guide on how to win customers, beat competitors, and boost the bottom line with big data. The marketplace has entered an era where the customer holds all the cards. With unprecedented choice in both the consumer world and the B2B world, it's imperative that businesses gain a greater understanding of their customers and prospects. Big data is the key to this insight, because it provides a comprehensive view of a company's customers—who they are, and who they may be tomorrow. The Big Data-Driven Business is a complete guide to the future of business as seen through the lens of big data, with expert advice on real-world applications. Learn what big data is, and how it will transform the enterprise Explore why major corporations are betting their companies on marketing technology Read case studies of big data winners and losers Discover how to change privacy and security, and remodel marketing Better information allows for better decisions, better targeting, and better reach. Big data has become an indispensable tool for the most effective marketers in the business, and it's becoming less of a competitive advantage and more like an industry standard. Remaining relevant as the marketplace evolves requires a full understanding and application of big data, and The Big Data-Driven Business provides the practical guidance businesses need.