AI investment quant
 |
Description
Book Introduction
Are there AI robots that can make money for you? A Korean quant working in New York tells the story of the AI robot wars on Wall Street.
While AlphaGo sparked a surge of interest in artificial intelligence and big data among the public, it actually began decades earlier on Wall Street.
This film captures the thrilling past and present of quants who have turned the global financial market upside down on Wall Street, a battlefield no different from a battlefield.
It also covers predictions about the future of the financial industry, which is rapidly changing with artificial intelligence.
I hope this quant story, which won the grand prize at the 3rd Brunch Book Project and has accumulated 1 million views, will help you navigate the Fourth Industrial Revolution.
While AlphaGo sparked a surge of interest in artificial intelligence and big data among the public, it actually began decades earlier on Wall Street.
This film captures the thrilling past and present of quants who have turned the global financial market upside down on Wall Street, a battlefield no different from a battlefield.
It also covers predictions about the future of the financial industry, which is rapidly changing with artificial intelligence.
I hope this quant story, which won the grand prize at the 3rd Brunch Book Project and has accumulated 1 million views, will help you navigate the Fourth Industrial Revolution.
- You can preview some of the book's contents.
Preview
index
As you go in
Prologue: "The Age of Algorithmic Wars"
Part 1.
The Birth of Quant
; How they came to dominate the market
Chapter 1.
The algorithm that brought down the casino
The Birth of a Great Gambler
Dream Team for Victory
Beat the dealer
[Quant Note] Algorithm Blueprint #33 - Ed Thorp's Betting Algorithm
Chapter 2.
The world's largest casino and stock market
The odds of winning in stocks are 50-50.
Beat the market
[Quant Note] Algorithm Blueprint #47 - Delta Hedging Algorithm
Chapter 3.
NASA Scientists Leave for Wall Street
The end of the Cold War
[Quant Note] Algorithm Blueprint #67 - Black-Scholes Options Trading Algorithm
Human madness is incalculable.
Failures of Geniuses
[Quant Note] Algorithm Blueprint No. 81 - Convertible Bond Arbitrage Algorithm
Chapter 4.
Decrypt the market's code
A moment's gap, Alpha
[Quant Note] Algorithm Blueprint #101 - Bamberger's Pairs Trading Algorithm
The emergence of high-speed algorithms
[Quant Note] Algorithm Blueprint #124 - Multivariate Model Statistical Arbitrage Algorithm
The Quant Warring States Era
[Quant Note] Algorithm Blueprint #161 - Hidden Markov Pattern Recognition Algorithm
Chapter 5.
Merchant turned into AI
Chicago's merchants
[Quant Note] Algorithm Blueprint #202 - Market Making Algorithm
Market microstructure
[Quant Note] Algorithm Blueprint No. 211 - Price Microstructure Trading Algorithm
Invasion of ultra-short-term traders
Part 2.
The beginning of the war
; Artificial intelligence wars unfolding in the heart of New York's Wall Street
Chapter 1.
Entering the Quant Industry
AI that makes money
Quantitative Trading Group (QTG)
The Engine of Artificial Intelligence, Quant Developer
Texas Gunfighter Xiang
Fat Finger: The Crisis Caused by Fat, Dull Fingers
Become a quant
Chapter 2.
AI creator
simulation system
First AI, number 282
The beginning of chaos
Chapter 3.
Spy war
Battle for market share
Silent battlefield
Algorithm Spy
Quant Group under attack
Chapter 4.
hedge fund quant
The final algorithm
The Fall of Quantitative Trading Groups
The never-ending AI war
Part 3.
The Present and Future of Quant
; Reflections from AI Traders in the Age of Machine Learning and Big Data
Chapter 1.
The present of quant
Quant diversification
Quant's Career Path
Misconceptions and Truths About Quant
Chapter 2.
The Future of Quant
The era of ultra-high speed has reached its limit
The era of artificial intelligence and machine learning
Goldman Sachs is an IT company.
Even ordinary people can make money with quantitative investing.
In closing, "You, too, should become a quant."
Prologue: "The Age of Algorithmic Wars"
Part 1.
The Birth of Quant
; How they came to dominate the market
Chapter 1.
The algorithm that brought down the casino
The Birth of a Great Gambler
Dream Team for Victory
Beat the dealer
[Quant Note] Algorithm Blueprint #33 - Ed Thorp's Betting Algorithm
Chapter 2.
The world's largest casino and stock market
The odds of winning in stocks are 50-50.
Beat the market
[Quant Note] Algorithm Blueprint #47 - Delta Hedging Algorithm
Chapter 3.
NASA Scientists Leave for Wall Street
The end of the Cold War
[Quant Note] Algorithm Blueprint #67 - Black-Scholes Options Trading Algorithm
Human madness is incalculable.
Failures of Geniuses
[Quant Note] Algorithm Blueprint No. 81 - Convertible Bond Arbitrage Algorithm
Chapter 4.
Decrypt the market's code
A moment's gap, Alpha
[Quant Note] Algorithm Blueprint #101 - Bamberger's Pairs Trading Algorithm
The emergence of high-speed algorithms
[Quant Note] Algorithm Blueprint #124 - Multivariate Model Statistical Arbitrage Algorithm
The Quant Warring States Era
[Quant Note] Algorithm Blueprint #161 - Hidden Markov Pattern Recognition Algorithm
Chapter 5.
Merchant turned into AI
Chicago's merchants
[Quant Note] Algorithm Blueprint #202 - Market Making Algorithm
Market microstructure
[Quant Note] Algorithm Blueprint No. 211 - Price Microstructure Trading Algorithm
Invasion of ultra-short-term traders
Part 2.
The beginning of the war
; Artificial intelligence wars unfolding in the heart of New York's Wall Street
Chapter 1.
Entering the Quant Industry
AI that makes money
Quantitative Trading Group (QTG)
The Engine of Artificial Intelligence, Quant Developer
Texas Gunfighter Xiang
Fat Finger: The Crisis Caused by Fat, Dull Fingers
Become a quant
Chapter 2.
AI creator
simulation system
First AI, number 282
The beginning of chaos
Chapter 3.
Spy war
Battle for market share
Silent battlefield
Algorithm Spy
Quant Group under attack
Chapter 4.
hedge fund quant
The final algorithm
The Fall of Quantitative Trading Groups
The never-ending AI war
Part 3.
The Present and Future of Quant
; Reflections from AI Traders in the Age of Machine Learning and Big Data
Chapter 1.
The present of quant
Quant diversification
Quant's Career Path
Misconceptions and Truths About Quant
Chapter 2.
The Future of Quant
The era of ultra-high speed has reached its limit
The era of artificial intelligence and machine learning
Goldman Sachs is an IT company.
Even ordinary people can make money with quantitative investing.
In closing, "You, too, should become a quant."
Detailed image
Into the book
After three years in the hedge fund industry and six years as a quant, I can feel the quants' war on artificial intelligence becoming more intense.
You can never make money by simply finding gaps like before, and you have to predict the behavior of other AIs to make a profit.
In addition to traditional data like exchange data, there are increasing instances of using fundamental data, social media data, and even unstructured data like images.
Where do the quants go now? They're still analyzing data today to create the best investment AI.
_ P.341
Goldman Sachs is attempting to integrate IT and artificial intelligence across the board.
It acquired Marcus.com, which uses machine learning to connect people who are likely to get a loan, and also introduced Kensho, an artificial intelligence that does the research that traditional bankers do.
The 600 traders who received and executed trade requests from customers were reduced to just two people who monitored the trades, and they were all replaced by algorithms.
You can never make money by simply finding gaps like before, and you have to predict the behavior of other AIs to make a profit.
In addition to traditional data like exchange data, there are increasing instances of using fundamental data, social media data, and even unstructured data like images.
Where do the quants go now? They're still analyzing data today to create the best investment AI.
_ P.341
Goldman Sachs is attempting to integrate IT and artificial intelligence across the board.
It acquired Marcus.com, which uses machine learning to connect people who are likely to get a loan, and also introduced Kensho, an artificial intelligence that does the research that traditional bankers do.
The 600 traders who received and executed trade requests from customers were reduced to just two people who monitored the trades, and they were all replaced by algorithms.
---p.398
Publisher's Review
Instead of humans
AI that makes money
A war between artificial intelligence robots is unfolding on Wall Street right now.
Howler, STAR, Neon, Ladder Snake, and Midas are artificial intelligences that generate enormous returns from stock investment and trading, creating astronomical amounts of money.
Who created this financial artificial intelligence?
Quant.
The main characters include James Simons of Renaissance Technologies, the hedge fund king with an annual salary of 1.8 trillion won, Ed Thorp, the math genius who brought down the casinos in Las Vegas, and Peter Muller, who brought 5 trillion won in profits to Morgan Stanley.
Amazon CEO Jeff Bezos, who recently surpassed Bill Gates to become the world's richest person, also had a quant background.
shook the world
The Financial AI War and the Principles of Algorithms
The term "quant," still a relatively unfamiliar concept in Korea, refers to individuals with the ability to dominate the global financial market by building algorithms based on investment principles using advanced mathematical and statistical knowledge.
And the artificial intelligence that quants created by applying mathematical models and algorithms has turned the global financial market upside down.
The thrilling past and present of quants on Wall Street, a battlefield no different from a war zone, are vividly depicted like a movie.
The "Quant Notes" section, a special feature of this book, introduces the principles of how artificial intelligence makes money, providing valuable information for students aspiring to become Wall Street insiders and those working in the financial industry.
Korean Quant Reports from Wall Street
From investment competition to the latest trends
And even the local daily life in New York
A new work by Yongjin Kwon, a Korean quant active in New York.
This book vividly captures the technological revolution in the global financial market that I have witnessed and experienced firsthand since entering Wall Street seven years ago.
Quants, who create their own artificial intelligence based on deep insight, are changing the order of global financial markets.
Algorithmic trading will now dominate the financial markets.
Faced with the massive paradigm shift of the Fourth Industrial Revolution, domestic industries must anticipate and quickly respond to the evolving financial market.
It's a crucial time for current Korean quants on Wall Street to discuss the fierce investment competition, trends, and the development and future of artificial intelligence.
The era of artificial intelligence and big data
Find meaning in your data and invest!
In this era of rapid technological innovation, finding your own meaning among the flood of data and transforming it into valuable information will become a powerful foundation for human survival in the age of artificial intelligence.
The insight to distinguish information is becoming increasingly important.
This is also why we need to pay attention to quants now.
"It is difficult to find a quantitative introduction and guide that explains the latest information in this field in such detail and in an easy-to-understand manner, even in American books," said traders working on Wall Street, and it contains everything about the principles of financial artificial intelligence and quantitative analysis.
AI that makes money
A war between artificial intelligence robots is unfolding on Wall Street right now.
Howler, STAR, Neon, Ladder Snake, and Midas are artificial intelligences that generate enormous returns from stock investment and trading, creating astronomical amounts of money.
Who created this financial artificial intelligence?
Quant.
The main characters include James Simons of Renaissance Technologies, the hedge fund king with an annual salary of 1.8 trillion won, Ed Thorp, the math genius who brought down the casinos in Las Vegas, and Peter Muller, who brought 5 trillion won in profits to Morgan Stanley.
Amazon CEO Jeff Bezos, who recently surpassed Bill Gates to become the world's richest person, also had a quant background.
shook the world
The Financial AI War and the Principles of Algorithms
The term "quant," still a relatively unfamiliar concept in Korea, refers to individuals with the ability to dominate the global financial market by building algorithms based on investment principles using advanced mathematical and statistical knowledge.
And the artificial intelligence that quants created by applying mathematical models and algorithms has turned the global financial market upside down.
The thrilling past and present of quants on Wall Street, a battlefield no different from a war zone, are vividly depicted like a movie.
The "Quant Notes" section, a special feature of this book, introduces the principles of how artificial intelligence makes money, providing valuable information for students aspiring to become Wall Street insiders and those working in the financial industry.
Korean Quant Reports from Wall Street
From investment competition to the latest trends
And even the local daily life in New York
A new work by Yongjin Kwon, a Korean quant active in New York.
This book vividly captures the technological revolution in the global financial market that I have witnessed and experienced firsthand since entering Wall Street seven years ago.
Quants, who create their own artificial intelligence based on deep insight, are changing the order of global financial markets.
Algorithmic trading will now dominate the financial markets.
Faced with the massive paradigm shift of the Fourth Industrial Revolution, domestic industries must anticipate and quickly respond to the evolving financial market.
It's a crucial time for current Korean quants on Wall Street to discuss the fierce investment competition, trends, and the development and future of artificial intelligence.
The era of artificial intelligence and big data
Find meaning in your data and invest!
In this era of rapid technological innovation, finding your own meaning among the flood of data and transforming it into valuable information will become a powerful foundation for human survival in the age of artificial intelligence.
The insight to distinguish information is becoming increasingly important.
This is also why we need to pay attention to quants now.
"It is difficult to find a quantitative introduction and guide that explains the latest information in this field in such detail and in an easy-to-understand manner, even in American books," said traders working on Wall Street, and it contains everything about the principles of financial artificial intelligence and quantitative analysis.
GOODS SPECIFICS
- Date of publication: August 14, 2017
- Page count, weight, size: 412 pages | 549g | 148*210*18mm
- ISBN13: 9788998599362
- ISBN10: 8998599368
You may also like
카테고리
korean
korean
![GQ KOREA Mark (Monthly): December [2025]](http://librairie.coreenne.fr/cdn/shop/files/8ef265dbbfbf186523ed75ba7319009d.jpg?v=1765340328&width=3840)
