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.
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.
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.
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.
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.
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.
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.
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.
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.
Discusses in the practical and theoretical aspects of one-period asset allocation, i.e. market Modeling, invariants estimation, portfolia evaluation, and portfolio optimization in the prexence of estimation risk The book is software based, many of the exercises simulate in Matlab the solution to practical problems and can be downloaded from the book's web-site
