Developing an Effective Model for Detecting Trade-Based Market Manipulation determines an appropriate model to help identify stocks witnessing activities that are indicative of potential manipulation through three separate but related studies.

Understanding Economic Sanctions, Institutional Change, and the Political Unity of White Rhodesia

Understand the fundamentals of algorithmic trading to apply algorithms to real market data and analyze the results of real-world trading strategies Key Features Understand the power of algorithmic trading in financial markets with real-world examples Get up and running with the algorithms used to carry out algorithmic trading Learn to build your own algorithmic trading robots which require no human intervention Book Description It's now harder than ever to get a significant edge over competitors in terms of speed and efficiency when it comes to algorithmic trading. Relying on sophisticated trading signals, predictive models and strategies can make all the difference. This book will guide you through these aspects, giving you insights into how modern electronic trading markets and participants operate. You'll start with an introduction to algorithmic trading, along with setting up the environment required to perform the tasks in the book. You'll explore the key components of an algorithmic trading business and aspects you'll need to take into account before starting an automated trading project. Next, you'll focus on designing, building and operating the components required for developing a practical and profitable algorithmic trading business. Later, you'll learn how quantitative trading signals and strategies are developed, and also implement and analyze sophisticated trading strategies such as volatility strategies, economic release strategies, and statistical arbitrage. Finally, you'll create a trading bot from scratch using the algorithms built in the previous sections. By the end of this book, you'll be well-versed with electronic trading markets and have learned to implement, evaluate and safely operate algorithmic trading strategies in live markets. What you will learn Understand the components of modern algorithmic trading systems and strategies Apply machine learning in algorithmic trading signals and strategies using Python Build, visualize and analyze trading strategies based on mean reversion, trend, economic releases and more Quantify and build a risk management system for Python trading strategies Build a backtester to run simulated trading strategies for improving the performance of your trading bot Deploy and incorporate trading strategies in the live market to maintain and improve profitability Who this book is for This book is for software engineers, financial traders, data analysts, and entrepreneurs. Anyone who wants to get started with algorithmic trading and understand how it works; and learn the components of a trading system, protocols and algorithms required for black box and gray box trading, and techniques for building a completely automated and profitable trading business will also find this book useful.

A visual guide to market trading using intermarket analysis and exchange-traded funds With global markets and asset classes growing even more interconnected, intermarket analysis—the analysis of related asset classes or financial markets to determine their strengths and weaknesses—has become an essential part of any trader's due diligence. In Trading with Intermarket Analysis, John J. Murphy, former technical analyst for CNBC, lays out the technical and intermarket tools needed to understand global markets and illustrates how they help traders profit in volatile climates using exchange-traded funds. Armed with a knowledge of how economic forces impact various markets and financial sectors, investors and traders can profit by exploiting opportunities in markets about to rise and avoiding those poised to fall. Trading with Intermarket Analysis provides advice on trend following, chart patterns, moving averages, oscillators, spotting tops and bottoms, using exchange-traded funds, tracking market sectors, and the new world of intermarket relationships, all presented in a highly visual way. Gives readers a visually rich introduction to the world of intermarket analysis, the ultimate tool for beating the markets Provides practical advice on trend following, chart patterns, moving averages, oscillators, spotting tops and bottoms, using exchange-traded funds, tracking market sectors, and intermarket relationships Includes appendices on Japanese candlesticks and point-and-figure charting Comprehensive and easy-to-use, Trading with Intermarket Analysis presents the most important concepts related to using exchange-traded funds to beat the markets in a visually accessible format.

A news-breaking account of the global stock market's subterranean battles, Dark Pools portrays the rise of the "bots"--artificially intelligent systems that execute trades in milliseconds and use the cover of darkness to out-maneuver the humans who've created them. In the beginning was Josh Levine, an idealistic programming genius who dreamed of wresting control of the market from the big exchanges that, again and again, gave the giant institutions an advantage over the little guy. Levine created a computerized trading hub named Island where small traders swapped stocks, and over time his invention morphed into a global electronic stock market that sent trillions in capital through a vast jungle of fiber-optic cables. By then, the market that Levine had sought to fix had turned upside down, birthing secretive exchanges called dark pools and a new species of trading machines that could think, and that seemed, ominously, to be slipping the control of their human masters. Dark Pools is the fascinating story of how global markets have been hijacked by trading robots--many so self-directed that humans can't predict what they'll do next.

A timely update to the book on using the Market Profile method to trade Emerging over twenty years ago, Market Profile analysis continues to realize a strong following among active traders. The approach explains the underlying dynamics and structure of markets, identifies value areas, price rejection points, and measures the strength of buyers and sellers. Unlike more conventional forms of technical analysis, Market Profile is an all-encompassing approach, and Mind Over Markets, Updated Edition provides traders with a solid understanding of it. Since the first edition of Mind Over Markets—considered the best book on applying Market Profile analysis to trading—was published over a decade ago, much has changed in the worlds of finance and investing. That's why James Dalton, a pioneer in the popularization of Market Profile, has returned with a new edition of this essential guide. Written to reflect today's dynamic market conditions, Mind Over Markets, Updated Edition clearly puts this unique method of interpreting market behavior and identifying trading/investment opportunities in perspective. Includes new chapters on Market Profile-based trading strategies, using Market Profile in connection with other market indicators, and much more Explains how the Market Profile approach has evolved over the past twenty-five years and how it is used by contemporary traders Written by a leading educator and authority on the Market Profile One of the key elements that has long separated successful traders from the rest is their intuitive understanding that time regulates all financial opportunities. The ability to record price information according to time has unleashed huge amounts of useful market information. Mind Over Markets, Updated Edition will show you how to profitably put this information to work for you.

The era of globalization saw China emerge as the world's manufacturing titan. However, the "made in China" model—with its reliance on cheap labor and thin profits—has begun to wane. Beginning in the 2000s, the Chinese state shifted from attracting foreign investment to promoting the technological competitiveness of domestic firms. This shift caused tensions between winners and losers, leading local bureaucrats to compete for resources in government budget, funding, and tax breaks. While bureaucrats successfully built coalitions to motivate businesses to upgrade in some cities, in others, vested interests within the government deprived businesses of developmental resources and left them in a desperate race to the bottom. In Manipulating Globalization, Ling Chen argues that the roots of coalitional variation lie in the type of foreign firms with which local governments forged alliances. Cities that initially attracted large global firms with a significant share of exports were more likely to experience manipulation from vested interests down the road compared to those that attracted smaller foreign firms. The book develops the argument with in-depth interviews and tests it with quantitative data across hundreds of Chinese cities and thousands of firms. Chen advances a new theory of economic policies in authoritarian regimes and informs debates about the nature of Chinese capitalism. Her findings shed light on state-led development and coalition formation in other emerging economies that comprise the new "globalized" generation.

Argues that post-crisis Wall Street continues to be controlled by large banks and explains how a small, diverse group of Wall Street men have banded together to reform the financial markets.

The challenges to humanity posed by the digital future, the first detailed examination of the unprecedented form of power called "surveillance capitalism," and the quest by powerful corporations to predict and control our behavior. In this masterwork of original thinking and research, Shoshana Zuboff provides startling insights into the phenomenon that she has named surveillance capitalism. The stakes could not be higher: a global architecture of behavior modification threatens human nature in the twenty-first century just as industrial capitalism disfigured the natural world in the twentieth. Zuboff vividly brings to life the consequences as surveillance capitalism advances from Silicon Valley into every economic sector. Vast wealth and power are accumulated in ominous new "behavioral futures markets," where predictions about our behavior are bought and sold, and the production of goods and services is subordinated to a new "means of behavioral modification." The threat has shifted from a totalitarian Big Brother state to a ubiquitous digital architecture: a "Big Other" operating in the interests of surveillance capital. Here is the crucible of an unprecedented form of power marked by extreme concentrations of knowledge and free from democratic oversight. Zuboff's comprehensive and moving analysis lays bare the threats to twenty-first century society: a controlled "hive" of total connection that seduces with promises of total certainty for maximum profit -- at the expense of democracy, freedom, and our human future. With little resistance from law or society, surveillance capitalism is on the verge of dominating the social order and shaping the digital future -- if we let it.