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Inside the Black Box
  • Language: en
  • Pages: 296

Inside the Black Box

Inside The Black Box The Simple Truth About Quantitative Trading Rishi K Narang Praise for Inside the Black Box "In Inside the Black Box: The Simple Truth About Quantitative Trading, Rishi Narang demystifies quantitative trading. His explanation and classification of alpha will enlighten even a seasoned veteran." ?Blair Hull, Founder, Hull Trading & Matlock Trading "Rishi provides a comprehensive overview of quantitative investing that should prove useful both to those allocating money to quant strategies and those interested in becoming quants themselves. Rishi's experience as a well-respected quant fund of funds manager and his solid relationships with many practitioners provide ample usef...

Inside the Black Box
  • Language: en
  • Pages: 343

Inside the Black Box

New edition of book that demystifies quant and algo trading In this updated edition of his bestselling book, Rishi K Narang offers in a straightforward, nontechnical style—supplemented by real-world examples and informative anecdotes—a reliable resource takes you on a detailed tour through the black box. He skillfully sheds light upon the work that quants do, lifting the veil of mystery around quantitative trading and allowing anyone interested in doing so to understand quants and their strategies. This new edition includes information on High Frequency Trading. Offers an update on the bestselling book for explaining in non-mathematical terms what quant and algo trading are and how they work Provides key information for investors to evaluate the best hedge fund investments Explains how quant strategies fit into a portfolio, why they are valuable, and how to evaluate a quant manager This new edition of Inside the Black Box explains quant investing without the jargon and goes a long way toward educating investment professionals.

Inside the Black Box
  • Language: en
  • Pages: 343

Inside the Black Box

New edition of book that demystifies quant and algo trading In this updated edition of his bestselling book, Rishi K Narang offers in a straightforward, nontechnical style—supplemented by real-world examples and informative anecdotes—a reliable resource takes you on a detailed tour through the black box. He skillfully sheds light upon the work that quants do, lifting the veil of mystery around quantitative trading and allowing anyone interested in doing so to understand quants and their strategies. This new edition includes information on High Frequency Trading. Offers an update on the bestselling book for explaining in non-mathematical terms what quant and algo trading are and how they work Provides key information for investors to evaluate the best hedge fund investments Explains how quant strategies fit into a portfolio, why they are valuable, and how to evaluate a quant manager This new edition of Inside the Black Box explains quant investing without the jargon and goes a long way toward educating investment professionals.

The Truth About High-Frequency Trading
  • Language: en
  • Pages: 60

The Truth About High-Frequency Trading

The debate about high frequency trading (HFT) has been raging since around the beginning of 2010, after a couple of years of record profits in 2008 and 2009 were reported upon by the press with a generally negative tone. But, it was manageable. Regulators were making careful, but mostly correct moves to fix what needed fixing. Until it all came crashing down. With the release of Michael Lewis's latest best-seller, Flash Boys, potential progress was dramatically and possibly irrevocably set back. This e-only book will provide a close look at the topic of high frequency trading in its various aspects: what it is, how it's done, why it matters, and whether we should have concerns.

Option Market Making
  • Language: en
  • Pages: 226

Option Market Making

Approaches trading from the viewpoint of market makers and the part they play in pricing, valuing and placing positions. Covers option volatility and pricing, risk analysis, spreads, strategies and tactics for the options trader, focusing on how to work successfully with market makers. Features a special section on synthetic options and the role of synthetic options market making (a role of increasing importance on the trading floor). Contains numerous graphs, charts and tables.

Quantitative Portfolio Management
  • Language: en
  • Pages: 311

Quantitative Portfolio Management

Discover foundational and advanced techniques in quantitative equity trading from a veteran insider In Quantitative Portfolio Management: The Art and Science of Statistical Arbitrage, distinguished physicist-turned-quant Dr. Michael Isichenko delivers a systematic review of the quantitative trading of equities, or statistical arbitrage. The book teaches you how to source financial data, learn patterns of asset returns from historical data, generate and combine multiple forecasts, manage risk, build a stock portfolio optimized for risk and trading costs, and execute trades. In this important book, you’ll discover: Machine learning methods of forecasting stock returns in efficient financial ...

Quantum Trading
  • Language: en
  • Pages: 246

Quantum Trading

A cutting-edge guide to quantum trading Original and thought-provoking, Quantum Trading presents a compelling new way to look at technical analysis and will help you use the proven principles of modern physics to forecast financial markets. In it, author Fabio Oreste shows how both the theory of relativity and quantum physics is required to makes sense of price behavior and forecast intermediate and long-term tops and bottoms. He relates his work to that of legendary trader W.D. Gann and reveals how Gann's somewhat esoteric theories are consistent with his applications of Einstein's theory of relativity and quantum theory to price behavior. Applies concepts from modern science to financial market forecasting Shows how to generate support/resistance areas and identify potential market turning points Addresses how non-linear approaches to trading can be used to both understand and forecast market prices While no trading approach is perfect, the techniques found within these pages have enabled the author to achieve a very attractive annual return since 2002. See what his insights can do for you.

The Golden Code
  • Language: en
  • Pages: 207

The Golden Code

Foreword by Shweta Bachchan Nanda MASTERING THE ART OF SOCIAL SUCCESS In a world where being polite is considered a sign of weakness, image consultant and grooming expert Rukshana Eisa takes a bold step and shows how good manners come in handy in everyday life. The Golden Code meticulously details manners and standards for every situation, be it dining at a swanky restaurant, interacting with higher management, hosting a formal party, preparing for a first date, dressing for a fancy event or giving a speech. A must-read for anyone wishing to live an elegant life! “Grooming and etiquette extend beyond cosmetic boundaries. It is more about cultivating your personality and channelizing your s...

Machine Learning and Big Data with kdb+/q
  • Language: en
  • Pages: 640

Machine Learning and Big Data with kdb+/q

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 sp...

Big Data and Machine Learning in Quantitative Investment
  • Language: en
  • Pages: 308

Big Data and Machine Learning in Quantitative Investment

Get to know the ‘why’ and ‘how’ of machine learning and big data in quantitative investment Big Data and Machine Learning in Quantitative Investment is not just about demonstrating the maths or the coding. Instead, it’s a book by practitioners for practitioners, covering the questions of why and how of applying machine learning and big data to quantitative finance. The book is split into 13 chapters, each of which is written by a different author on a specific case. The chapters are ordered according to the level of complexity; beginning with the big picture and taxonomy, moving onto practical applications of machine learning and finally finishing with innovative approaches using deep learning. • Gain a solid reason to use machine learning • Frame your question using financial markets laws • Know your data • Understand how machine learning is becoming ever more sophisticated Machine learning and big data are not a magical solution, but appropriately applied, they are extremely effective tools for quantitative investment — and this book shows you how.