(PDF/EPUB) [Advances in Financial Machine Learning] ´ Marcos Lpez de Prado

Advances in Financial Machine Learning

summary ´ eBook, PDF or Kindle ePUB ☆ Marcos Lpez de Prado

Towards both general trading as well as ocusing on machine learning driven strategies The second part of the book ocuses on extending basic machine learning concepts second part of the book ocuses on extending basic machine learning concepts The Northman's Bride financial data The author spends a lot of this sectionocusing on validation techniues specifically Blood Trails: The Combat Diary of a Foot Soldier in Vietnam forinancial Cherry Bomb features The third section of the bookocuses entirely on backtesting In this section he develops a number of novel approaches to backtesting machine learning models as well as measuring the performance of those models The Leading the Way fourth section delves into some of the most important MLeatures in inancial markets and how to build models around them The last section ocuses on how to scale your ML models with both off the shelf software high performance computing hardwarevia LBNL s CIFT Project and uantum computing approachesvia uantum annealer The Single Girl's Guide to Marrying a Man, His Kids, and His Ex-Wife: Becoming a Stepmother with Humor and Grace from D WAVE All in all the book provides an excellent roadmapor building and operating ML BASED TRADING STRATEGIES THIS BOOK IS GREAT BUT based trading strategies This book is great but is the author pretentious This book is an apology of his own work with countless self uotes Before stating anything true he has to say how everybody else is wrong It makes an otherwise good book tedious to read "The book is a ragmented collection of models and practices developed by the author key " book is a ragmented collection of models and practices developed by the author key are his own articles I think it is difficult to ind in the book understanding of efficient practices and state of the art technologies related to the title. Machine learning ML is changing virtually every aspect of our lives Today ML algorithms accomplish tasks that until recently only expert humans could perform As it relates to The World in the Curl: An Unconventional History of Surfing finance this is the most exciting time to adopt a disruptive technology that will transform how everyone investsor generations Readers will learn how to structure Big data in a way that is amenable to ML algorithms; how to conduct research with ML algorithms on that data; how to use supercomputing methods; how to backtest your discoveries while avoiding Song of the Forest false positives The book addresses real life problemsaced by practitioners on a daily basis and explains scientifically sound solutions using math supported by code and examples Readers become active users who can test the proposed solutions in their particular setting Written by a recognized expert and portfolio manager this book will euip investment professionals with the groundbreaking tools needed to succeed in modern inance.
Datasets Once again this code is not or the aint of heart his use of Pandas #will leave even a seasoned inancial developer to RTFMThere are some laws which I can #leave even a seasoned inancial developer to RTFMThere are some laws which I can Strict software engineers will be irked at the code violating PEP8 It is hard to put code samples into a book so things like multiple statements PER LINE CAN GREATLY COMPACT THE CODE AND MAKE line can greatly compact the code and make readable In chapter 20 he uses threads and processes interchangeably although they are two distinct tools Chapter 22 elt a little out of place but it seems compulsory Still Life with Chickens forinancial authors to include two distinct tools Chapter 22 Still Life with Chickens: Starting Over in a House by the Sea felt a little out of place but it seems compulsoryor Paradox Bound financial authors to include justor un inal chapter There was a uick discussion at the end of Chapter 14 on performance attribution which STFU, Parents: The Jaw-Dropping, Self-Indulgent, and Occasionally Rage-Inducing World of Parent Overshare felt rushed and Ieel it would be hard or the non inancial portion of the target audience to Syncopated: An Anthology of Nonfiction Picto-Essays follow These are minor items Iound at least three errors in the code which I hear have been corrected in the second printingIt is arguable that the ideas in this book could be extended to any asset class If I had to guess I would say this was often applied to trading utures although bonds euities and euity options are briefly mentioned Having spent than two decades on euity desks building cash and options systems it is refreshing to come across a book that is so comprehensive The irst part of the book tackles the construction of a data strategy Marcos provides both theoretical What a Lass Wants foundations as well as practical examplesor those building a data plant geared. Machine learning ML is changing virtually every aspect of our lives Today ML algorithms accomplish tasks that until recently only expert humans could perform As it relates to Conquering Your Quarterlife Crisis: Advice from Twentysomethings Who Have Been There and Survived finance this is the most exciting time to adopt a disruptive technology that will transform how everyone investsor generations Readers will learn how to structure Big data in a way that is amenable to ML algorithms; how to conduct research with ML algorithms on that data; how to use supercomputing methods; how to backtest your discoveries while avoiding Mexican Hooker false positives The book addresses real life problemsaced by practitioners on a daily basis and explains scientifically sound solutions using math supported by code and examples Readers become active users who can test the proposed solutions in their particular setting Written by a recognized expert and portfolio manager this book will euip investment professionals with the groundbreaking tools needed to succeed in modern inance. ,
TLDR the book is awesome it really is on another level and you will be stuck in the past if you don t ingest this bookIf you are not in the target audience I think you will ind this book hard to digest Also I have read some chapters twice and worked through the code samples so I believe I offer a perspective that other readers may be lacking Marcos has given a number of lectures titled The 7 Reasons Most Machine *Learning Funds Fail you can ind the lecture slides online The *Funds Fail you can ind the lecture slides online The Core Ideas In core ideas in lecture are covered in chapters 2 8 with other chapters offering supporting details or going urther chapters 2 8 with other chapters offering supporting details or going urther depth If you have limited time to process the book I think you would be better served by taking a deep dive on chapters 2 8 rather than skimming the whole thingThe ideas in this book work and you would be doing yourself a disservice by not reading this book Some of the ideas range rom the common sense backtesting is not a research tool eature importance is to the heretical The Day Fidel Died fordecades mostinancial research has been based on over differentiated memory less series leading to spurious orecasts and overfitting That uote was in his 7 Reasons presentation rom uantcon 2018 not the book He offers compelling arguments and solutions backed by peer reviewed publications or all his pointsThe book would be a highly valuable reference even without the code snippets but he provides unctional code and even tools to make it work on large. Machine learning ML is changing virtually every aspect of our lives Today ML algorithms accomplish tasks that until recently only expert humans could perform As it relates to Gulp!: The Seven-Day Crash Course to Master Fear and Break Through Any Challenge finance this is the most exciting time to adopt a disruptive technology that will transform how everyone investsor generations Readers will learn how to structure Big data in a way that is amenable to ML algorithms; how to conduct research with ML algorithms on that data; how to use supercomputing methods; how to backtest your discoveries while avoiding The Outlaw and the Upstart King false positives The book addresses real life problemsaced by practitioners on a daily basis and explains scientifically sound solutions using math supported by code and examples Readers become active users who can test the proposed solutions in their particular setting Written by a recognized expert and portfolio manager this book will euip investment professionals with the groundbreaking tools needed to succeed in modern inance.