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Trading Thalesians

2014-10-28 Business & Economics
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Release : 2014-10-28
Genre : Business & Economics
Kind : eBook
Book Rating : 538/5 ( reviews)

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Book Synopsis Trading Thalesians by : S. Amen

Download or read book Trading Thalesians written by S. Amen. This book was released on 2014-10-28. Available in PDF, EPUB and Kindle. Book excerpt: This book mixes history on the ancient world with investment ideas for traders involved in financial markets today. It goes through ideas such as measuring risk, whether investors should try to outperform the market, Black Swans and ways of creating appropriate investment targets. It will appeal to professional traders and retail investors.

Trading Thalesians

2014-10-28 Business & Economics
Download Trading Thalesians PDF Online Free

Author :
Release : 2014-10-28
Genre : Business & Economics
Kind : eBook
Book Rating : 538/5 ( reviews)

GET EBOOK


Book Synopsis Trading Thalesians by : S. Amen

Download or read book Trading Thalesians written by S. Amen. This book was released on 2014-10-28. Available in PDF, EPUB and Kindle. Book excerpt: This book mixes history on the ancient world with investment ideas for traders involved in financial markets today. It goes through ideas such as measuring risk, whether investors should try to outperform the market, Black Swans and ways of creating appropriate investment targets. It will appeal to professional traders and retail investors.

Trading Thalesians

2014-01-01 Business & Economics
Download Trading Thalesians PDF Online Free

Author :
Release : 2014-01-01
Genre : Business & Economics
Kind : eBook
Book Rating : 789/5 ( reviews)

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Book Synopsis Trading Thalesians by : S. Amen

Download or read book Trading Thalesians written by S. Amen. This book was released on 2014-01-01. Available in PDF, EPUB and Kindle. Book excerpt: This book mixes history on the ancient world with investment ideas for traders involved in financial markets today. It goes through ideas such as measuring risk, whether investors should try to outperform the market, Black Swans and ways of creating appropriate investment targets. It will appeal to professional traders and retail investors.

The Book of Alternative Data

2020-07-21 Business & Economics
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Release : 2020-07-21
Genre : Business & Economics
Kind : eBook
Book Rating : 797/5 ( reviews)

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Book Synopsis The Book of Alternative Data by : Alexander Denev

Download or read book The Book of Alternative Data written by Alexander Denev. This book was released on 2020-07-21. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Machine Learning and Big Data with kdb+/q

2019-12-31 Business & Economics
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Release : 2019-12-31
Genre : Business & Economics
Kind : eBook
Book Rating : 754/5 ( reviews)

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Book Synopsis Machine Learning and Big Data with kdb+/q by : Jan Novotny

Download or read book Machine Learning and Big Data with kdb+/q written by Jan Novotny. This book was released on 2019-12-31. Available in PDF, EPUB and Kindle. Book excerpt: Upgrade your programming language to more effectively handle high-frequency data Machine Learning and Big Data with KDB+/Q offers quants, programmers and algorithmic traders a practical entry into the powerful but non-intuitive kdb+ database and q programming language. Ideally designed to handle the speed and volume of high-frequency financial data at sell- and buy-side institutions, these tools have become the de facto standard; this book provides the foundational knowledge practitioners need to work effectively with this rapidly-evolving approach to analytical trading. The discussion follows the natural progression of working strategy development to allow hands-on learning in a familiar sphere, illustrating the contrast of efficiency and capability between the q language and other programming approaches. Rather than an all-encompassing “bible”-type reference, this book is designed with a focus on real-world practicality ­to help you quickly get up to speed and become productive with the language. Understand why kdb+/q is the ideal solution for high-frequency data Delve into “meat” of q programming to solve practical economic problems Perform everyday operations including basic regressions, cointegration, volatility estimation, modelling and more Learn advanced techniques from market impact and microstructure analyses to machine learning techniques including neural networks The kdb+ database and its underlying programming language q offer unprecedented speed and capability. As trading algorithms and financial models grow ever more complex against the markets they seek to predict, they encompass an ever-larger swath of data ­– more variables, more metrics, more responsiveness and altogether more “moving parts.” Traditional programming languages are increasingly failing to accommodate the growing speed and volume of data, and lack the necessary flexibility that cutting-edge financial modelling demands. Machine Learning and Big Data with KDB+/Q opens up the technology and flattens the learning curve to help you quickly adopt a more effective set of tools.

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