محصولات
Trading Fixed Income and FX in Emerging Markets: A Practitioner’s Guide - Original PDF
Trading Fixed Income and FX in Emerging Markets: A Practitioner’s Guide - Original PDF
نویسندگان: Dirk Willer, Ram Bala Chandran, Kenneth Lam خلاصه: Emerging fixed income markets are both large and fast growing. China, currently the second largest economy in the world, is predicted to overtake the United States by 2030. Chinese fixed income markets are worth more than $11 trillion USD and are being added to global fixed income indices starting in 2019. Access for foreigners to the Indian fixed income market, valued at almost 1trn USD, is also becoming easier – a trend repeated in emerging markets around the world. The move to include large Emerging Market (EM) fixed income markets into non-EM benchmarks requires non-EM specialists to understand EM fixed income. Trading Fixed Income in Emerging Markets examines the principle drivers for EM fixed income investing. This timely guide suggests a more systematic approach to EM fixed income trading with a focus on practical trading rules on how to generate alpha, assisting EM practitioners to limit market-share losses to passive investment vehicles. The definitive text on trading EM fixed income, this book is heavily data-driven – every trading rule is thoroughly back-tested over the last 10+ years. Case studies help readers identify and benefit from market regularities, while discussions of the business cycle and typical EM events inform and optimise trading strategies. Topics include portfolio construction, how to apply ESG principles to EM and the future of EM investing in the realm of Big Data and machine learning. Written by practitioners for practitioners, this book: Provides effective, immediately-accessible tools Covers all three fixed income asset classes: EMFX, EM local rates and EM credit Thoroughly analyses the impact of the global macro cycle on EM investing Examines the influence of the financial rise of China and its fixed income markets Includes case studies of trades that illustrate how markets typically behave in certain situations The first book of its kind, Trading Fixed Income in Emerging Markets: A Practitioner’s Guide is an indispensable resource for EM fund managers, analysts and strategists, sell-side professionals in EM and non-EM specialists considering activity in emerging markets.
Machine Learning and Data Science Blueprints for Finance: From Building Trading Strategies to Robo-Advisors Using Python - Original PDF
Machine Learning and Data Science Blueprints for Finance: From Building Trading Strategies to Robo-Advisors Using Python - Original PDF
نویسندگان: Hariom Tatsat, Sahil Puri , Brad Lookabaugh خلاصه: Over the next few decades, machine learning and data science will transform the finance industry. With this practical book, analysts, traders, researchers, and developers will learn how to build machine learning algorithms crucial to the industry. You’ll examine ML concepts and over 20 case studies in supervised, unsupervised, and reinforcement learning, along with natural language processing (NLP). Ideal for professionals working at hedge funds, investment and retail banks, and fintech firms, this book also delves deep into portfolio management, algorithmic trading, derivative pricing, fraud detection, asset price prediction, sentiment analysis, and chatbot development. You’ll explore real-life problems faced by practitioners and learn scientifically sound solutions supported by code and examples. This book covers: • Supervised learning regression-based models for trading strategies, derivative pricing, and portfolio management • Supervised learning classification-based models for credit default risk prediction, fraud detection, and trading strategies • Dimensionality reduction techniques with case studies in portfolio management, trading strategy, and yield curve construction • Algorithms and clustering techniques for finding similar objects, with case studies in trading strategies and portfolio management • Reinforcement learning models and techniques used for building trading strategies, derivatives hedging, and portfolio management • NLP techniques using Python libraries such as NLTK and scikit-learn for transforming text into meaningful representations
A Machine Learning based Pairs Trading Investment Strategy - Original PDF
A Machine Learning based Pairs Trading Investment Strategy - Original PDF
نویسندگان: Simão Moraes Sarmento, Nuno Horta خلاصه: This book investigates the application of promising machine learning techniques to address two problems: (i) how to find profitable pairs while constraining the search space and (ii) how to avoid long decline periods due to prolonged divergent pairs. It also proposes the integration of an unsupervised learning algorithm, OPTICS, to handle problem (i), and demonstrates that the suggested technique can outperform the common pairs search methods, achieving an average portfolio Sharpe ratio of 3.79, in comparison to 3.58 and 2.59 obtained using standard approaches. For problem (ii), the authors introduce a forecasting-based trading model capable of reducing the periods of portfolio decline by 75%. However, this comes at the expense of decreasing overall profitability. The authors also test the proposed strategy using an ARMA model, an LSTM and an LSTM encoder-decoder.
Positional Option Trading: An Advanced Guide - Original PDF
Positional Option Trading: An Advanced Guide - Original PDF
نویسندگان: Euan Sinclair خلاصه: You know nothing, Jon Snow. —Ygritte in A Storm of Swords by George R. R. Martin. He is not the only one. We are not in a time where reason is valued. In economics, the idea that marginal tax cuts pay for themselves is still advanced, even though all evidence says they don't. Forty percent of Americans do not believe in evolution. Forty-five percent believe in ghosts. These beliefs are not based on any evidence. They are manifestations of another philosophy, whether it is economic, religious, or sociological. Usually these opinions reveal more about what people want to be true rather than any facts that they know. And many people know few facts anyway. Evidence is seen as irrelevant and arguments are won by those who shout loudest and have the best media skills
MATLAB Trading Toolbox™ User's Guide - Original PDF
MATLAB Trading Toolbox™ User's Guide - Original PDF
نویسندگان: The MathWorks, Inc. خلاصه: rading Toolbox Product Description Access prices, analyze transaction costs, and send orders to trading systems Trading Toolbox provides functions for analyzing transaction costs, accessing trade and quote pricing data, defining order types, and sending orders to financial trading markets. The toolbox lets you integrate streaming and event-based data into MATLAB®, enabling you to develop financial trading strategies and algorithms that analyze and react to the market in real time. You can build algorithmic or automated trading strategies that work across multiple asset classes, instrument types, and trading markets while integrating with industry-standard or proprietary trade execution platforms. With Trading Toolbox you can analyze and estimate transaction costs before placing an order, as well as attribute costs post-trade. You can analyze transaction costs associated with market impact, timing, liquidity, and price appreciation, and use cost curves to minimize transaction costs for single assets or for a portfolio of assets. Trading Toolbox lets you access real-time streams of tradable instrument data, including quotes, volumes, trades, market depth, and instrument metadata. You can define order types and specify order routing and filling procedures.
Quantum Finance: Intelligent Forecast and Trading Systems - Original PDF
Quantum Finance: Intelligent Forecast and Trading Systems - Original PDF
نویسندگان: Raymond S. T. Lee خلاصه: With the exponential growth of program trading in the global financial industry, quantum finance and its underlying technologies have become one of the hottest topics in the fintech community. Numerous financial institutions and fund houses around the world require computer professionals with a basic understanding of quantum finance to develop intelligent financial systems. This book presents a selection of the author’s past 15 years’ R&D work and practical implementation of the Quantum Finance Forecast System – which integrates quantum field theory and related AI technologies to design and develop intelligent global financial forecast and quantum trading systems. The book consists of two parts: Part I discusses the basic concepts and theories of quantum finance and related AI technologies, including quantum field theory, quantum price fields, quantum price level modelling and quantum entanglement to predict major financial events. Part II then examines the current, ongoing R&D projects on the application of quantum finance technologies in intelligent real-time financial prediction and quantum trading systems. This book is both a textbook for undergraduate & masters level quantum finance, AI and fintech courses and a valuable resource for researchers and data scientists working in the field of quantum finance and intelligent financial systems. It is also of interest to professional traders/ quants & independent investors who would like to grasp the basic concepts and theory of quantum finance, and more importantly how to adopt this fascinating technology to implement intelligent financial forecast and quantum trading systems. For system implementation, the interactive quantum finance programming labs listed on the Quantum Finance Forecast Centre official site (QFFC.org) enable readers to learn how to use quantum finance technologies presented in the book.
Applications of computational intelligence in data-driven trading - Original PDF
Applications of computational intelligence in data-driven trading - Original PDF
نویسندگان: Doloc, Cris خلاصه: "The objective of this book is to introduce the reader to the field of Computational Finance using the framework of Machine Learning as a tool of scientific inquiry. It is an attempt to integrate these two topics: how to use Machine Learning as the tool of choice in solving topical problems in Computational Finance. Readers will learn modern methods used by financial engineers and quantitative analysts to access, Read more...
Finding Alphas: A Quantitative Approach to Building Trading Strategies - Original PDF
Finding Alphas: A Quantitative Approach to Building Trading Strategies - Original PDF
نویسندگان: Igor Tulchinsky et al. خلاصه: Drawing on the expertise of WorldQuant's global network, this new edition ofFinding Alphas: A Quantitative Approach to Building Trading Strategiescontains significant changes and updates to the original material, with new and updated data and examples. Nine chapters have been added about alphas - models used to make predictions regarding the prices of financial instruments. The new chapters cover topics including alpha correlation, controlling biases, exchange-traded funds, event-driven investing, index alphas, intraday data in alpha research, intraday trading, machine learning, and the triple axis plan for identifying alphas. You'll also find details of how to use WebSim, WorldQuant's web-based simulation platform, to test your alphas. - Provides more references to the academic literature - Includes new, high-quality material - Organizes content in a practical and easy-to-follow manner - Adds new alpha examples with formulas and explanations If you're looking for the latest information on building trading strategies from a quantitative approach, this book has you covered.
Trading Tactics in the Financial Market: Mathematical Methods to Improve Performance - Original PDF
Trading Tactics in the Financial Market: Mathematical Methods to Improve Performance - Original PDF
نویسندگان: Don K. Mak خلاصه: Financial markets are not predictable, let alone controllable. The one thing traders and investors can control is their trading tactics, where some can have higher probability of profitability than others. This book explains, by using phase analysis, why some of the indicators, and trading tactics would work better than others, and why some indicators and trading tactics would perform poorly. Emphasis is placed on Awesome Oscillator and Accelerator Oscillator, which are based on Simple Moving Average, a popular tool employed by traders. They are then compared to Moving Average Convergence-Divergence (MACD) and MACD Histogram (MACDH), which are based on exponential moving averages. By varying the parameters of MACD and MACDH, one can change the phase or time delay, and possibly make a larger profit.
Alpha Trader: The Mindset, Methodology and Mathematics of Professional Trading - Original PDF
Alpha Trader: The Mindset, Methodology and Mathematics of Professional Trading - Original PDF
نویسندگان: Brent Donnelly خلاصه: Trading is a chaotic, complex, and loosely-structured game played by the smartest minds and most expensive computers in the world. It is the ultimate puzzle. Few can trade at an elite level for an extended period. The game is constantly changing and the rules, mechanics, and probabilities are difficult to observe and forever in flux. Just when you think you've got a plan: BAM. You get punched in the mouth. Trading attracts intelligent, driven individuals who see enormous financial rewards and few barriers to entry. But no amount of intelligence or skill is enough if you are irrational, undisciplined, or overconfident. The best analysis is useless if you keep reaching for the self-destruct button. How do you survive and excel in this high-stakes competition? How do you become an Alpha Trader? The answer is mindset, methodology, and math. ALPHA TRADER is not a behavioral economics textbook and it is not a boring, theoretical deep dive into trading psychology. It's a practical guide full of actionable information, exciting and relevant trading floor stories, concisely-distilled research, and real-life examples that explain and reinforce critical concepts. The book details the specific strategies, tactics, and habits that lead to professional trading success. It will help you become more self-aware, rational, and profitable. This book will make you a better trader. It will help you unlock more edge and it will motivate you to become an expert in your market. It covers practical and essential topics like strategy vs. tactics, microstructure, market narrative, technical analysis, sentiment, positioning and systematic risk management. It will explain the importance of adaptation, rational thinking, behavioral bias, and risk of ruin. Brent Donnelly, the author of ALPHA TRADER, has been a professional trader for more than two decades and has been writing about macro and markets for more than 15 years. His writing style is engaging, approachable, and entertaining and he has the experience and knowledge of a veteran professional trader. His first book, The Art of Currency Trading is a bestseller and has received rave reviews. Brent has worked as a senior FX dealer at some of the biggest banks in the world. He has traded global macro for a Connecticut hedge fund, and he has day traded equities with his own money. He loves trading and he loves writing about it. ALPHA TRADER is for traders of every skill and experience level. Veterans and rookies alike will benefit as the book digs into topics like self-awareness, discipline, endurance, and grit. Learn the common traits of winning traders, the myriad sources of trader kryptonite, how to improve your decision-making, and how smart people do stupid things, all the time. Professional trading is a lifelong journey of self-improvement, struggle, adaptation, and success. This book will help you level up on that journey. Be rational and self-aware. Learn, adapt, and grow. Unleash the Alpha.

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