Technology has transformed global markets, but this is nothing new. Markets have been shaped by machinery for hundreds of years, and this continues at a rapid pace today. Author David Leinweber--a computer scientist who accidentally stumbled upon Wall Street and became an innovator in the application of modern information technology in trading and investing--is a well-qualified guide to the nerds of greater Wall Street. And now, in this engaging and entertaining new book, he tells the tale of the ongoing technological transformation of the world's financial markets. The impact of technology on…mehr
Technology has transformed global markets, but this is nothing new. Markets have been shaped by machinery for hundreds of years, and this continues at a rapid pace today. Author David Leinweber--a computer scientist who accidentally stumbled upon Wall Street and became an innovator in the application of modern information technology in trading and investing--is a well-qualified guide to the nerds of greater Wall Street. And now, in this engaging and entertaining new book, he tells the tale of the ongoing technological transformation of the world's financial markets. The impact of technology on investing is profound, and Leinweber provides an intriguing look at where technology on Wall Street has been, what it has meant, and how it will impact the markets of tomorrow, and its role in the multifaceted crises of today. In essence, the financial game has changed and will continue to change due entirely to technology. Throughout these pages, Leinweber takes a detailed look at the new "players," human or otherwise, that offer both unprecedented opportunities and debilitating dangers in this ever-evolving environment. Divided into four parts, this lively exploration of markets and machines: * Illustrates the history of technology upheavals in markets and deals with electronic markets and algorithmic trading in Part One: Wired Markets * Explores the use of wired markets, and anything else you can find, to outperform market averages in Part Two: Alpha as Life * Examines how humans and machines can work together to extract useful information for investment and trading from textual sources in Part Three: Artificial Intelligence and Intelligence Amplification * Considers the roles of technology in contributing to the crisis of 2008, as well as its use to avoid future mishaps in Part Four (Epilogue): Nerds Gone Wild? Wired Markets in Distress Being a successful investor--whether individual or institutional--involves more than stock picking, asset allocation, or market timing: it involves technology. And through this story, Leinweber helps you go beyond the numbers to see exactly how advanced technology has become a bigger part of modern markets. It's getting harder every day to see the difference between financial markets and computer networks. Hopefully, after reading this book, you'll have a better sense of how technology shapes today's markets, and how to best participate in the future of electronic finance.
DAVID LEINWEBER is a Haas Fellow in Finance at the Haas School of Business at UC Berkeley, and founding Director of the Center for Innovative Financial Technology at Berkeley. He is the founder of two pioneering financial technology firms and successfully managed multibillion-dollar institutional portfolios for many years. Dr. Leinweber has consulted, published, and lectured widely on the use of advanced technology, artificial intelligence, and intelligence amplification in finance?always in an easy and accessible way?and has earned the reputation as "class clown of the quantitative investing industry." He received BS degrees in physics and electrical engineering from the Massachusetts Institute of Technology and a PhD in applied mathematics from Harvard University.
Inhaltsangabe
Foreword by Ted Aronson xi Acknowledgments xiii Introduction xv Part One 1 Wired Markets Chapter 1: An Illustrated History of Wired Markets 5 Chapter 2: Greatest Hits of Computation in Finance 31 Financial Technology Stars Hits and Misses The Crackpot as Billionaire Future Technological Stars Mining the Deep Web Language Technology EDGAR Greatest Hits, and the Mother of All Greatest Misses Chapter 3: Algorithm Wars 65 Early Algos Algos for Alpha Algos for the Buy Side From Order Pad to Algos A Scientifi c Approach Job Insecurity for Traders So Many Markets, So Little Time Known Unknowns and Unknown Unknowns Models Aren't Markets Robots, RoboTraders, and Traders Markets in 2015, Focus on Risk Playing Well with Robots and Algorithms Seeing the Big Picture in Markets Agents for News and Pre-News Algorithms at the Edge Part Two 89 Alpha as Life Chapter 4: Where Does Alpha Come From? 95 Alpha from Innovation Alpha, the ARPANET, and the Internet Summary Chapter 5: A Gentle Introduction to Computerized Investing 109 Indexing 101 Active Management What Do Quantitative Managers Do? Active Management on Steroids Finding Information and Inefficiencies to Produce Alpha All the Stocks, All the Time Jumping the Trading Cost Hurdle Putting the Pieces Together Does This Really Work? Chapter 6: Stupid Data Miner Tricks 135 "Your Mama Is a Data Miner" Strip Mining the S&P 500 Enough Regression Tricks Is There Any Hope for Data Miners? Summary (and Sermonette) Counting the Kiddies Part Three 149 Artificial Intelligence and Intelligence Amplification Chapter 7: A Little AI Goes a Long Way on Wall Street 159 Prehistory of Artificial Intelligence on Wall Street AI People Can Use Where's the AI? Real Charting Virtual Charting Descriptive Programming Information Flows and Displays in MarketMind and QuantEx Integration with Real-Time Feeds and Historical Databases Composing Syntactically Bulletproof Programs From Indications to Orders to Executions Vapor No More Future Plans for AI in Finance (in 1995) Chapter 8: Perils and Promise of Evolutionary Computation on Wall Street 181 The AI Spring? Genetic Algorithms Evolving Financial Models An Early Lesson Arbitrage and Predictive Strategies Maximizing Predictability Chromosomes for Forecasting Models FitnessFunctions for Forecasting Models Use of the GA for Coping with a Combinatoric Explosion of Models Genetically Optimized Forecasting Models in Hindsight Genetic Algorithm Warning Label Chapter 9: The Text Frontier: AI, IA, and the New Research 203 Ten Pounds of News in a Five-Pound Bag Pre-News and Disintermediation More Pre-News on the Internet Chapter 10: Collective Intelligence, Social Media, and Web Market Monitors 227 Investing with Crowds Never Met a Data Vendor I Didn't Like Santa Claus Is Coming to Town Counting Messages Whisper Numbers-Ruined by Success Monitoring Web Activity More Web, More Warnings Chapter 11: Three Hundred Years of Stock Market Manipulations: From the Coffeehouse to the World Wide Web 253 The Power of Manipulation A Classic Market Manipulation The Very Model of a Modern Market Manipulator Bluffing How Communication Changes Market Manipulation Anatomy of a Successful Manipulation The Internet Era Cyber-Manipulations It's Not Just Micro-Caps Where Are We Headed? Part Four 273 Nerds Gone Wild: Wired Markets in Distress Chapter 12: Shooting the Moon: Stupid Financial Technology Tricks 279 To Protect and to Serve Stupid Engineering Tricks Stupid Financial Engineering Tricks Take Them Out and Shoot Them Tech Hall of Shame Quants Who Saw It Coming Chapter 13: Structural Ideas for the Economic Rescue: Fractional Homes and New Banks 305 Chapter 14: Nerds Gone Green: Nerds on Wall Street, off Wall Street 327 Accelerating Innovation From the Vault Billions of Dollars and Millions of Tons of Carbon Epilogue Web Site Index 343 About the Web Site 353 NerdsonWallStreet.com
Foreword by Ted Aronson xi Acknowledgments xiii Introduction xv Part One 1 Wired Markets Chapter 1: An Illustrated History of Wired Markets 5 Chapter 2: Greatest Hits of Computation in Finance 31 Financial Technology Stars Hits and Misses The Crackpot as Billionaire Future Technological Stars Mining the Deep Web Language Technology EDGAR Greatest Hits, and the Mother of All Greatest Misses Chapter 3: Algorithm Wars 65 Early Algos Algos for Alpha Algos for the Buy Side From Order Pad to Algos A Scientifi c Approach Job Insecurity for Traders So Many Markets, So Little Time Known Unknowns and Unknown Unknowns Models Aren't Markets Robots, RoboTraders, and Traders Markets in 2015, Focus on Risk Playing Well with Robots and Algorithms Seeing the Big Picture in Markets Agents for News and Pre-News Algorithms at the Edge Part Two 89 Alpha as Life Chapter 4: Where Does Alpha Come From? 95 Alpha from Innovation Alpha, the ARPANET, and the Internet Summary Chapter 5: A Gentle Introduction to Computerized Investing 109 Indexing 101 Active Management What Do Quantitative Managers Do? Active Management on Steroids Finding Information and Inefficiencies to Produce Alpha All the Stocks, All the Time Jumping the Trading Cost Hurdle Putting the Pieces Together Does This Really Work? Chapter 6: Stupid Data Miner Tricks 135 "Your Mama Is a Data Miner" Strip Mining the S&P 500 Enough Regression Tricks Is There Any Hope for Data Miners? Summary (and Sermonette) Counting the Kiddies Part Three 149 Artificial Intelligence and Intelligence Amplification Chapter 7: A Little AI Goes a Long Way on Wall Street 159 Prehistory of Artificial Intelligence on Wall Street AI People Can Use Where's the AI? Real Charting Virtual Charting Descriptive Programming Information Flows and Displays in MarketMind and QuantEx Integration with Real-Time Feeds and Historical Databases Composing Syntactically Bulletproof Programs From Indications to Orders to Executions Vapor No More Future Plans for AI in Finance (in 1995) Chapter 8: Perils and Promise of Evolutionary Computation on Wall Street 181 The AI Spring? Genetic Algorithms Evolving Financial Models An Early Lesson Arbitrage and Predictive Strategies Maximizing Predictability Chromosomes for Forecasting Models FitnessFunctions for Forecasting Models Use of the GA for Coping with a Combinatoric Explosion of Models Genetically Optimized Forecasting Models in Hindsight Genetic Algorithm Warning Label Chapter 9: The Text Frontier: AI, IA, and the New Research 203 Ten Pounds of News in a Five-Pound Bag Pre-News and Disintermediation More Pre-News on the Internet Chapter 10: Collective Intelligence, Social Media, and Web Market Monitors 227 Investing with Crowds Never Met a Data Vendor I Didn't Like Santa Claus Is Coming to Town Counting Messages Whisper Numbers-Ruined by Success Monitoring Web Activity More Web, More Warnings Chapter 11: Three Hundred Years of Stock Market Manipulations: From the Coffeehouse to the World Wide Web 253 The Power of Manipulation A Classic Market Manipulation The Very Model of a Modern Market Manipulator Bluffing How Communication Changes Market Manipulation Anatomy of a Successful Manipulation The Internet Era Cyber-Manipulations It's Not Just Micro-Caps Where Are We Headed? Part Four 273 Nerds Gone Wild: Wired Markets in Distress Chapter 12: Shooting the Moon: Stupid Financial Technology Tricks 279 To Protect and to Serve Stupid Engineering Tricks Stupid Financial Engineering Tricks Take Them Out and Shoot Them Tech Hall of Shame Quants Who Saw It Coming Chapter 13: Structural Ideas for the Economic Rescue: Fractional Homes and New Banks 305 Chapter 14: Nerds Gone Green: Nerds on Wall Street, off Wall Street 327 Accelerating Innovation From the Vault Billions of Dollars and Millions of Tons of Carbon Epilogue Web Site Index 343 About the Web Site 353 NerdsonWallStreet.com
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