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Escape From Quantopia
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Download or read book Escape from Quantopia written by Ted Dace and published by John Hunt Publishing. This book was released on 2014-08-29 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: An unforgettable trip from the foundations of physical and biological existence to the psycho-social maladies currently undermining human prospects, "Escape from Quantopia" exposes the twin failings of science and capitalism, the double helix of the modern world. Prefigured by the deranged imperative to subsume nature and consciousness to deterministic equations, imperial America is killing the earth in the quest to dominate it. Why do elites pursue policies ultimately harmful even to themselves? How did warfare, whether military or economic, take on a life of its own beyond the reach of reason and compassion? Making the case for insanity at the group level, the author finds the basis of collective memory and mind in the pioneering work of CS Peirce, Henri Bergson, David Bohm, Rupert Sheldrake and Lee Smolin. Whether arising from primordial chemical soup or the unexamined recesses of the human mind, living systems tend to self-perpetuate. In light of the organic underpinnings of contemporary crises, Ted Dace proposes "organic socialism" as the best hope for establishing a new order of thought and life.
Download or read book Quantum Shorts written by Michael Brooks and published by Pagesetters Services. This book was released on 2019 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents winning and shortlisted stories from past editions of the international Quantum Shorts competition. Inspired by the weird and wonderful world of quantum physics, the shorts range from bold imaginings of a quantum future to contemplations rooted in the everyday. They feature characters of all sorts: lovers beginning their lives together, an atom having an existential crisis, and, of course, cats. These Quantum Shorts will unleash in your mind a multiverse of ideas.
Book Synopsis Quantum New Testament: Paraphrase by : David Kreiling
Download or read book Quantum New Testament: Paraphrase written by David Kreiling and published by David Kreiling. This book was released on 2021-08-03 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: THE QUANTUM NEW TESTAMENT: PARAPHRASE reveals The Missing Link between religion and science for a 2nd Reformation. The clue to the secret missing link is hiding in plain sight; in your hand. Five billion cell phones cannot be wrong. God orchestrates the entire universe, including cell phones, through revelation of what has been the missing link: quantum mechanics. If you do not understand Christianity or quantum theory then unite them as two ways to understand the glory of God. THE GRACE NEW TESTAMENT teaches anyone can receive eternal life the moment they experience assurance of belief that Jesus is the Christ, the Son of God. This creates a personal everlasting relationship with the Messiah (who died on the cross as payment for sin and then overcame death by resurrection). Then Jesus delivers the believer, an heir among the family of New Testament church believers, through the trials, pains and joys of life to eternal rewards in the Kingdom of God. This is the simple, plain meaning of New Testament authors. Spin biblical truth around and describe it with the language of the new science in THE QUANTUM NEW TESTAMENT: PARAPHRASE. Quantum grace provides the missing link between the New Testament gospel and scientific reasoning. Quantum mechanics is the means by which God dispenses grace. And stunning as it may seem, Great Christian mysteries like creation, incarnation, baptism, miracles, monotheistic trinity, free will vs providence, flesh vs spirit, gifts: tongues, healing and prophecy, priesthood of all believers, resurrection and the second coming dissolve in a quantum universe. There are no words sufficient to convey the importance of THE QUANTUM NEW TESTAMENT: PARAPHRASE for third millennial Christianity. It will knock you to your knees to pray as never before when you grasp how Jesus orchestrates matter, energy, space and time for you to live a life that glorifies the Father through the power of the Holy Spirit. Faith magnifies into a trillion supernovas in a trillion universes when God’s quantum light dances for a human audience in the virtual opera we call reality created and directed by the Holy Trinity. Brilliant authors penned extraordinary insights into religion and science. Compare opinions and concepts from Josh McDowell, Joseph Dillow, Carl Buhl?, John Polkinghorne, Stephen C. Meyer, Thomas Aquinas, Richard Rohr, William Dembski, Erwin Schrodinger, William Lane Craig, J.I. Packer, Alan G. Padgett, Nicholas Wolterstorff, Paul Helm, Gregory E. Ganssle, Albert Einstein, CS Lewis, Scott Rae, Fritjof Capra, Isaac Newton, Michael Helser, Joe Padilla, Dr. Henry Morris, John C. Whitcomb, Tim Clarey, John D. Barrow, Norman Geisler, Ray Bohlin, Paul Davies, Steve Cable, John Horgan, Heather Zeiger, Ken Harn, Hugh Ross, Deborah Haarsma, Ian Barbour, Bernard Haisch, Ray Comfort, Harry W. Miller, Francis S. Collins, Charles Clough, Dodie Osteen, Thomas George, Franjo Stvarnik, Grant Jeffrey, Jim Willis, Jim Walker, James Frederick Ivey, Gerald Schroeder, Olufolahan Akintola, Jim Woodford, Josh Peck, Eckhart Tolle, Read other bible books by David Kreiling: THE GRACE NEW TESTAMENT, ONE STEP and JESUS RICH.
Book Synopsis Hands-On Machine Learning for Algorithmic Trading by : Stefan Jansen
Download or read book Hands-On Machine Learning for Algorithmic Trading written by Stefan Jansen and published by Packt Publishing Ltd. This book was released on 2018-12-31 with total page 668 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and Keras Key FeaturesImplement machine learning algorithms to build, train, and validate algorithmic modelsCreate your own algorithmic design process to apply probabilistic machine learning approaches to trading decisionsDevelop neural networks for algorithmic trading to perform time series forecasting and smart analyticsBook Description The explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This book enables you to use a broad range of supervised and unsupervised algorithms to extract signals from a wide variety of data sources and create powerful investment strategies. This book shows how to access market, fundamental, and alternative data via API or web scraping and offers a framework to evaluate alternative data. You'll practice the ML workflow from model design, loss metric definition, and parameter tuning to performance evaluation in a time series context. You will understand ML algorithms such as Bayesian and ensemble methods and manifold learning, and will know how to train and tune these models using pandas, statsmodels, sklearn, PyMC3, xgboost, lightgbm, and catboost. This book also teaches you how to extract features from text data using spaCy, classify news and assign sentiment scores, and to use gensim to model topics and learn word embeddings from financial reports. You will also build and evaluate neural networks, including RNNs and CNNs, using Keras and PyTorch to exploit unstructured data for sophisticated strategies. Finally, you will apply transfer learning to satellite images to predict economic activity and use reinforcement learning to build agents that learn to trade in the OpenAI Gym. What you will learnImplement machine learning techniques to solve investment and trading problemsLeverage market, fundamental, and alternative data to research alpha factorsDesign and fine-tune supervised, unsupervised, and reinforcement learning modelsOptimize portfolio risk and performance using pandas, NumPy, and scikit-learnIntegrate machine learning models into a live trading strategy on QuantopianEvaluate strategies using reliable backtesting methodologies for time seriesDesign and evaluate deep neural networks using Keras, PyTorch, and TensorFlowWork with reinforcement learning for trading strategies in the OpenAI GymWho this book is for Hands-On Machine Learning for Algorithmic Trading is for data analysts, data scientists, and Python developers, as well as investment analysts and portfolio managers working within the finance and investment industry. If you want to perform efficient algorithmic trading by developing smart investigating strategies using machine learning algorithms, this is the book for you. Some understanding of Python and machine learning techniques is mandatory.
Book Synopsis Fintech Founders by : Agustín Rubini
Download or read book Fintech Founders written by Agustín Rubini and published by Walter de Gruyter GmbH & Co KG. This book was released on 2019-12-16 with total page 598 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over 70 in-depth interviews of Fintech Founders provide lessons from some of the most successful fintech entrepreneurs that will help you understand the challenges and opportunities of applying technology and collaboration to solve some key problems of the financial services industry. This book is for entrepreneurs, for people working inside of large organizations and everyone in between who is interested to learn the secrets of successful entrepreneurs. In this advice-filled resource, Rubini gathers advice that comes from a diverse range of financial services niches including financing, banking, payments, wealth management, insurance, and cryptocurrencies, to help you harness the insights of thought leaders. Those working inside the financial services industry and those interested in working in or starting up businesses in financial services will learn valuable lessons on how to take an idea forward, how to find the right business founders, how to seek funding, how to learn from initial mistakes, and how to define and reposition your business model. Rubini also inquires into the future of fintech and uncovers provoking and insightful predictions.
Book Synopsis Introducing Python by : Bill Lubanovic
Download or read book Introducing Python written by Bill Lubanovic and published by "O'Reilly Media, Inc.". This book was released on 2019-11-06 with total page 634 pages. Available in PDF, EPUB and Kindle. Book excerpt: Easy to understand and fun to read, this updated edition of Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3. End-of-chapter exercises help you practice what you’ve learned. You’ll gain a strong foundation in the language, including best practices for testing, debugging, code reuse, and other development tips. This book also shows you how to use Python for applications in business, science, and the arts, using various Python tools and open source packages.
Download or read book The Quants written by Scott Patterson and published by Currency. This book was released on 2011-01-25 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the immediacy of today’s NASDAQ close and the timeless power of a Greek tragedy, The Quants is at once a masterpiece of explanatory journalism, a gripping tale of ambition and hubris, and an ominous warning about Wall Street’s future. In March of 2006, four of the world’s richest men sipped champagne in an opulent New York hotel. They were preparing to compete in a poker tournament with million-dollar stakes, but those numbers meant nothing to them. They were accustomed to risking billions. On that night, these four men and their cohorts were the new kings of Wall Street. Muller, Griffin, Asness, and Weinstein were among the best and brightest of a new breed, the quants. Over the prior twenty years, this species of math whiz--technocrats who make billions not with gut calls or fundamental analysis but with formulas and high-speed computers--had usurped the testosterone-fueled, kill-or-be-killed risk-takers who’d long been the alpha males the world’s largest casino. The quants helped create a digitized money-trading machine that could shift billions around the globe with the click of a mouse. Few realized, though, that in creating this unprecedented machine, men like Muller, Griffin, Asness and Weinstein had sowed the seeds for history’s greatest financial disaster. Drawing on unprecedented access to these four number-crunching titans, The Quants tells the inside story of what they thought and felt in the days and weeks when they helplessly watched much of their net worth vaporize--and wondered just how their mind-bending formulas and genius-level IQ’s had led them so wrong, so fast.
Download or read book The AI Delusion written by Gary Smith and published by Oxford University Press. This book was released on 2018-08-23 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: We live in an incredible period in history. The Computer Revolution may be even more life-changing than the Industrial Revolution. We can do things with computers that could never be done before, and computers can do things for us that could never be done before. But our love of computers should not cloud our thinking about their limitations. We are told that computers are smarter than humans and that data mining can identify previously unknown truths, or make discoveries that will revolutionize our lives. Our lives may well be changed, but not necessarily for the better. Computers are very good at discovering patterns, but are useless in judging whether the unearthed patterns are sensible because computers do not think the way humans think. We fear that super-intelligent machines will decide to protect themselves by enslaving or eliminating humans. But the real danger is not that computers are smarter than us, but that we think computers are smarter than us and, so, trust computers to make important decisions for us. The AI Delusion explains why we should not be intimidated into thinking that computers are infallible, that data-mining is knowledge discovery, and that black boxes should be trusted.
Book Synopsis The Science of Algorithmic Trading and Portfolio Management by : Robert Kissell
Download or read book The Science of Algorithmic Trading and Portfolio Management written by Robert Kissell and published by Academic Press. This book was released on 2013-10-01 with total page 492 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Science of Algorithmic Trading and Portfolio Management, with its emphasis on algorithmic trading processes and current trading models, sits apart from others of its kind. Robert Kissell, the first author to discuss algorithmic trading across the various asset classes, provides key insights into ways to develop, test, and build trading algorithms. Readers learn how to evaluate market impact models and assess performance across algorithms, traders, and brokers, and acquire the knowledge to implement electronic trading systems. This valuable book summarizes market structure, the formation of prices, and how different participants interact with one another, including bluffing, speculating, and gambling. Readers learn the underlying details and mathematics of customized trading algorithms, as well as advanced modeling techniques to improve profitability through algorithmic trading and appropriate risk management techniques. Portfolio management topics, including quant factors and black box models, are discussed, and an accompanying website includes examples, data sets supplementing exercises in the book, and large projects. - Prepares readers to evaluate market impact models and assess performance across algorithms, traders, and brokers. - Helps readers design systems to manage algorithmic risk and dark pool uncertainty. - Summarizes an algorithmic decision making framework to ensure consistency between investment objectives and trading objectives.
Download or read book Machine Trading written by Ernest P. Chan and published by John Wiley & Sons. This book was released on 2017-02-06 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dive into algo trading with step-by-step tutorials and expert insight Machine Trading is a practical guide to building your algorithmic trading business. Written by a recognized trader with major institution expertise, this book provides step-by-step instruction on quantitative trading and the latest technologies available even outside the Wall Street sphere. You'll discover the latest platforms that are becoming increasingly easy to use, gain access to new markets, and learn new quantitative strategies that are applicable to stocks, options, futures, currencies, and even bitcoins. The companion website provides downloadable software codes, and you'll learn to design your own proprietary tools using MATLAB. The author's experiences provide deep insight into both the business and human side of systematic trading and money management, and his evolution from proprietary trader to fund manager contains valuable lessons for investors at any level. Algorithmic trading is booming, and the theories, tools, technologies, and the markets themselves are evolving at a rapid pace. This book gets you up to speed, and walks you through the process of developing your own proprietary trading operation using the latest tools. Utilize the newer, easier algorithmic trading platforms Access markets previously unavailable to systematic traders Adopt new strategies for a variety of instruments Gain expert perspective into the human side of trading The strength of algorithmic trading is its versatility. It can be used in any strategy, including market-making, inter-market spreading, arbitrage, or pure speculation; decision-making and implementation can be augmented at any stage, or may operate completely automatically. Traders looking to step up their strategy need look no further than Machine Trading for clear instruction and expert solutions.
Book Synopsis Volatility Trading, + website by : Euan Sinclair
Download or read book Volatility Trading, + website written by Euan Sinclair and published by John Wiley & Sons. This book was released on 2008-06-23 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Volatility Trading, Sinclair offers you a quantitative model for measuring volatility in order to gain an edge in your everyday option trading endeavors. With an accessible, straightforward approach. He guides traders through the basics of option pricing, volatility measurement, hedging, money management, and trade evaluation. In addition, Sinclair explains the often-overlooked psychological aspects of trading, revealing both how behavioral psychology can create market conditions traders can take advantage of-and how it can lead them astray. Psychological biases, he asserts, are probably the drivers behind most sources of edge available to a volatility trader. Your goal, Sinclair explains, must be clearly defined and easily expressed-if you cannot explain it in one sentence, you probably aren't completely clear about what it is. The same applies to your statistical edge. If you do not know exactly what your edge is, you shouldn't trade. He shows how, in addition to the numerical evaluation of a potential trade, you should be able to identify and evaluate the reason why implied volatility is priced where it is, that is, why an edge exists. This means it is also necessary to be on top of recent news stories, sector trends, and behavioral psychology. Finally, Sinclair underscores why trades need to be sized correctly, which means that each trade is evaluated according to its projected return and risk in the overall context of your goals. As the author concludes, while we also need to pay attention to seemingly mundane things like having good execution software, a comfortable office, and getting enough sleep, it is knowledge that is the ultimate source of edge. So, all else being equal, the trader with the greater knowledge will be the more successful. This book, and its companion CD-ROM, will provide that knowledge. The CD-ROM includes spreadsheets designed to help you forecast volatility and evaluate trades together with simulation engines.
Book Synopsis Quantitative Trading with R by : Harry Georgakopoulos
Download or read book Quantitative Trading with R written by Harry Georgakopoulos and published by Springer. This book was released on 2015-02-02 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative Finance with R offers a winning strategy for devising expertly-crafted and workable trading models using the R open source programming language, providing readers with a step-by-step approach to understanding complex quantitative finance problems and building functional computer code.
Book Synopsis Quant Job Interview Questions and Answers by : Mark Joshi
Download or read book Quant Job Interview Questions and Answers written by Mark Joshi and published by . This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The quant job market has never been tougher. Extensive preparation is essential. Expanding on the successful first edition, this second edition has been updated to reflect the latest questions asked. It now provides over 300 interview questions taken from actual interviews in the City and Wall Street. Each question comes with a full detailed solution, discussion of what the interviewer is seeking and possible follow-up questions. Topics covered include option pricing, probability, mathematics, numerical algorithms and C++, as well as a discussion of the interview process and the non-technical interview. All three authors have worked as quants and they have done many interviews from both sides of the desk. Mark Joshi has written many papers and books including the very successful introductory textbook, "The Concepts and Practice of Mathematical Finance."
Book Synopsis Mastering pandas for Finance by : Michael Heydt
Download or read book Mastering pandas for Finance written by Michael Heydt and published by Packt Publishing Ltd. This book was released on 2015-05-25 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you are interested in quantitative finance, financial modeling, and trading, or simply want to learn how Python and pandas can be applied to finance, then this book is ideal for you. Some knowledge of Python and pandas is assumed. Interest in financial concepts is helpful, but no prior knowledge is expected.
Book Synopsis Pandas Cookbook by : Theodore Petrou
Download or read book Pandas Cookbook written by Theodore Petrou and published by Packt Publishing Ltd. This book was released on 2017-10-23 with total page 534 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over 95 hands-on recipes to leverage the power of pandas for efficient scientific computation and data analysis About This Book Use the power of pandas to solve most complex scientific computing problems with ease Leverage fast, robust data structures in pandas to gain useful insights from your data Practical, easy to implement recipes for quick solutions to common problems in data using pandas Who This Book Is For This book is for data scientists, analysts and Python developers who wish to explore data analysis and scientific computing in a practical, hands-on manner. The recipes included in this book are suitable for both novice and advanced users, and contain helpful tips, tricks and caveats wherever necessary. Some understanding of pandas will be helpful, but not mandatory. What You Will Learn Master the fundamentals of pandas to quickly begin exploring any dataset Isolate any subset of data by properly selecting and querying the data Split data into independent groups before applying aggregations and transformations to each group Restructure data into tidy form to make data analysis and visualization easier Prepare real-world messy datasets for machine learning Combine and merge data from different sources through pandas SQL-like operations Utilize pandas unparalleled time series functionality Create beautiful and insightful visualizations through pandas direct hooks to Matplotlib and Seaborn In Detail This book will provide you with unique, idiomatic, and fun recipes for both fundamental and advanced data manipulation tasks with pandas. Some recipes focus on achieving a deeper understanding of basic principles, or comparing and contrasting two similar operations. Other recipes will dive deep into a particular dataset, uncovering new and unexpected insights along the way. The pandas library is massive, and it's common for frequent users to be unaware of many of its more impressive features. The official pandas documentation, while thorough, does not contain many useful examples of how to piece together multiple commands like one would do during an actual analysis. This book guides you, as if you were looking over the shoulder of an expert, through practical situations that you are highly likely to encounter. Many advanced recipes combine several different features across the pandas library to generate results. Style and approach The author relies on his vast experience teaching pandas in a professional setting to deliver very detailed explanations for each line of code in all of the recipes. All code and dataset explanations exist in Jupyter Notebooks, an excellent interface for exploring data.
Book Synopsis Dual Momentum Investing: An Innovative Strategy for Higher Returns with Lower Risk by : Gary Antonacci
Download or read book Dual Momentum Investing: An Innovative Strategy for Higher Returns with Lower Risk written by Gary Antonacci and published by McGraw Hill Professional. This book was released on 2014-11-21 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: The investing strategy that famously generates higher returns with substantially reduced risk--presented by the investor who invented it "A treasure of well researched momentum-driven investing processes." Gregory L. Morris, Chief Technical Analyst and Chairman, Investment Committee of Stadion Money Management, LLC, and author of Investing with the Trend Dual Momentum Investing details the author’s own momentum investing method that combines U.S. stock, world stock, and aggregate bond indices--a formula proven to dramatically increase profits while lowering risk. Antonacci reveals how momentum investors could have achieved long-run returns nearly twice as high as the stock market over the past 40 years, while avoiding or minimizing bear market losses--and he provides the information and insight investors need to achieve such success going forward. His methodology is designed to pick up on major changes in relative strength and market trend. Gary Antonacci has over 30 years experience as an investment professional focusing on under exploited investment opportunities. In 1990, he founded Portfolio Management Consultants, which advises private and institutional investors on asset allocation, portfolio optimization, and advanced momentum strategies. He writes and runs the popular blog and website optimalmomentum.com. Antonacci earned his MBA at Harvard.
Book Synopsis Deep Reinforcement Learning in Action by : Alexander Zai
Download or read book Deep Reinforcement Learning in Action written by Alexander Zai and published by Manning. This book was released on 2020-04-28 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Humans learn best from feedback—we are encouraged to take actions that lead to positive results while deterred by decisions with negative consequences. This reinforcement process can be applied to computer programs allowing them to solve more complex problems that classical programming cannot. Deep Reinforcement Learning in Action teaches you the fundamental concepts and terminology of deep reinforcement learning, along with the practical skills and techniques you’ll need to implement it into your own projects. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Deep reinforcement learning AI systems rapidly adapt to new environments, a vast improvement over standard neural networks. A DRL agent learns like people do, taking in raw data such as sensor input and refining its responses and predictions through trial and error. About the book Deep Reinforcement Learning in Action teaches you how to program AI agents that adapt and improve based on direct feedback from their environment. In this example-rich tutorial, you’ll master foundational and advanced DRL techniques by taking on interesting challenges like navigating a maze and playing video games. Along the way, you’ll work with core algorithms, including deep Q-networks and policy gradients, along with industry-standard tools like PyTorch and OpenAI Gym. What's inside Building and training DRL networks The most popular DRL algorithms for learning and problem solving Evolutionary algorithms for curiosity and multi-agent learning All examples available as Jupyter Notebooks About the reader For readers with intermediate skills in Python and deep learning. About the author Alexander Zai is a machine learning engineer at Amazon AI. Brandon Brown is a machine learning and data analysis blogger. Table of Contents PART 1 - FOUNDATIONS 1. What is reinforcement learning? 2. Modeling reinforcement learning problems: Markov decision processes 3. Predicting the best states and actions: Deep Q-networks 4. Learning to pick the best policy: Policy gradient methods 5. Tackling more complex problems with actor-critic methods PART 2 - ABOVE AND BEYOND 6. Alternative optimization methods: Evolutionary algorithms 7. Distributional DQN: Getting the full story 8.Curiosity-driven exploration 9. Multi-agent reinforcement learning 10. Interpretable reinforcement learning: Attention and relational models 11. In conclusion: A review and roadmap