Alpha Trading

From a leading trading systems developer, how to make profitable trades when there are no obvious trends How does a trader find alpha when markets make no sense, when price shocks cause diversification to fail, and when it seems impossible to hedge? What strategies should traders, long conditioned to trend trading, deploy? In Alpha Trading: Profitable Strategies That Remove Directional Risk, author Perry Kaufman presents strategies and systems for profitably trading in directionless markets and in those experiencing constant price shocks. The book Details how to exploit new highs and lows Describes how to hedge primary risk components, find robustness, and craft a diversification program Other titles by Kaufman: New Trading Systems and Methods, 4th Edition and A Short Course in Technical Trading, both by Wiley Given Kaufman's 30 years of experience trading in almost every kind of market, his Alpha Trading will be a welcome addition to the trading literature of professional and serious individual traders for years to come.

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.

Innovative trading strategies, which combine the use of technical analysis, market indicators, and options In the new world of investing, money managers must deal with a variety of dynamics, products, analyses, and risk controls. They are also expected to achieve above-benchmark performance and profits, also known as alpha, as well as protect capital in the process. This can be difficult to achieve in today's turbulent market environment, but with Increasing Alpha with Options, author Scott Fullman, the Director of Derivative Investment Strategy for WJB Capital Group, offers some solid solutions. Written in a straightforward and accessible style, this reliable resource outlines various trading strategies using a combination of technical analysis, market indicators, and options. Along the way, it skillfully details how these analytical techniques can help you capture profits while also protecting positions from adverse market conditions. Details the varying elements of technical analysis, from chart type and analysis period to time itself Highlights how to build strategies around reversal and continuation patterns, oscillators, and exchange-traded funds Reveals how you can exploit small inefficiencies in the options marketplace Filled with in-depth insights and expert advice, Increasing Alpha with Options will quickly familiarize you with everything from the various elements of technical analysis to leveraging the power of options, and show you how applying these tools and techniques to your trading or investing endeavors can improve overall performance.

Now you can master the art of foreign exchange trading While most currency trading and foreign exchange books focus on international finance theory or simplistic chart-based strategies, The Art of Currency Trading is a comprehensive guide that will teach you how to profitably trade currencies in the real world. Author Brent Donnelly has been a successful interbank FX trader for more than 20 years and in this book, he shares the specific strategies and tactics he has used to profit in the forex marketplace. The book helps investors understand and master foreign exchange trading in order to achieve sustainable long-term financial success. The book builds in intensity and depth one topic at a time, starting with the basics and moving on to intermediate then advanced setups and strategies. Whether you are new to currency trading or have years of experience, The Art of Currency Trading provides the information you need to learn to trade like an expert. This much-needed guide provides: an insider’s view of what drives currency price movements; a clear explanation of how to combine macro fundamentals, technical analysis, behavioral finance and diligent risk management to trade successfully; specific techniques and setups you can use to make money trading foreign exchange; and steps you can take to better understand yourself and improve your trading psychology and discipline. Written for currency traders of all skill levels, international stock and bond investors, corporate treasurers, commodity traders, and asset managers, The Art of Currency Trading offers a comprehensive guide to foreign exchange trading written by a noted expert in the field.

How to Get All the Benefits of Day Trading without the Downside Risk Would you jump out of an airplane without a parachute? Then why would you start making trades online before you learned what you were doing? It’s crazy! But with deep discount brokers making it look so easy for individual investors, it’s no wonder consumers today are lulled into a false sense of security. “Opening an online account is the easy part! It’s making successful trades that’s the hard part!” Don’t leave your money in the hands of crooked financial advisors and greedy fund managers who charge high fees for low returns. With the new economy, comes new trading rules. You can’t rely on outdated textbooks and strategies anymore. But if you adapt, you can make a considerable fortune with these new market conditions. Here’s the deal. Swing trading requires less start-up capital than day trading. And unlike day trading, swing trading plays out over a few days or a week – which gives you much more room for error. Making it far more beginner friendly, with an easier learning curve. It’s also ideal if you have a family, or want to start in your spare time. Here’s just a fraction of what you’ll discover inside: The best brokerage accounts for swing traders (setting this up right can save you $1000+ a year in commissions) How social media moves asset prices, and how to always be first to act on these (do this and you’ll almost always ensure lower entry prices than your competition) The only 3 strategies you need for swing trading success (despite what everyone else tells you, it’s these 3 which will bring 90% of your profits) How to always ensure the right entry position for a trade The magic trading number: If you win this percentage of your trades, you’ll make massive profits (lower than you think) How to spot under or overvalued stocks with 99% accuracy The secret to finding your trading edge (hint: the risk-reward ratio isn’t enough) When to invest, and more important when NOT to invest like Warren Buffett The 10 best traders to follow on Twitter for maximum profit opportunities How to trade like a financial institution – even if you’re just doing this in your spare time Chart patterns that provide trading opportunities How to master the emotional side of trading A simple technique you can do in just 5 minutes a day. This is used by top hedge fund traders, and almost always guarantees an increase in your percentage of winning trades Understanding recent tax law changes – and their impact on your business (in plain English) How to let the market do the work for you (an effective “passive trading” strategy) …and much, much more. You may have experienced various obnoxious and even misleading advertisements of easy, get rich trading strategies. This is not one of those. You won’t have to spend thousands on expensive trading software or “magic bullet systems” In fact, you can get started using an online trading account and use free websites for your information (you’ll find the best two in Chapter 7) You will build up both your skills and confidence, with practical “how-to” approaches. All written in plain, easy to understand English. So if you want to make money in your spare time, and have fun while doing it… scroll up and click “add to cart”

Inside The Black Box The Simple Truth About Quantitative Trading Rishi K Narang Praise for Inside the Black Box "In Inside the Black Box: The Simple Truth About Quantitative Trading, Rishi Narang demystifies quantitative trading. His explanation and classification of alpha will enlighten even a seasoned veteran." ?Blair Hull, Founder, Hull Trading & Matlock Trading "Rishi provides a comprehensive overview of quantitative investing that should prove useful both to those allocating money to quant strategies and those interested in becoming quants themselves. Rishi's experience as a well-respected quant fund of funds manager and his solid relationships with many practitioners provide ample useful material for his work." ?Peter Muller, Head of Process Driven Trading, Morgan Stanley "A very readable book bringing much needed insight into a subject matter that is not often covered. Provides a framework and guidance that should be valuable to both existing investors and those looking to invest in this area for the first time. Many quants should also benefit from reading this book." ?Steve Evans, Managing Director of Quantitative Trading, Tudor Investment Corporation "Without complex formulae, Narang, himself a leading practitioner, provides an insightful taxonomy of systematic trading strategies in liquid instruments and a framework for considering quantitative strategies within a portfolio. This guide enables an investor to cut through the hype and pretense of secrecy surrounding quantitative strategies." ?Ross Garon, Managing Director, Quantitative Strategies, S.A.C. Capital Advisors, L.P. "Inside the Black Box is a comprehensive, yet easy read. Rishi Narang provides a simple framework for understanding quantitative money management and proves that it is not a black box but rather a glass box for those inside." ?Jean-Pierre Aguilar, former founder and CEO, Capital Fund Management "This book is great for anyone who wants to understand quant trading, without digging in to the equations. It explains the subject in intuitive, economic terms." ?Steven Drobny, founder, Drobny Global Asset Management, and author, Inside the House of Money "Rishi Narang does an excellent job demystifying how quants work, in an accessible and fun read. This book should occupy a key spot on anyone's bookshelf who is interested in understanding how this ever increasing part of the investment universe actually operates." ?Matthew S. Rothman, PhD, Global Head of Quantitative Equity Strategies Barclays Capital "Inside the Black Box provides a comprehensive and intuitive introduction to "quant" strategies. It succinctly explains the building blocks of such strategies and how they fit together, while conveying the myriad possibilities and design details it takes to build a successful model driven investment strategy." ?Asriel Levin, PhD, Managing Member, Menta Capital, LLC

Leverage machine learning to design and back-test automated trading strategies for real-world markets using pandas, TA-Lib, scikit-learn, LightGBM, SpaCy, Gensim, TensorFlow 2, Zipline, backtrader, Alphalens, and pyfolio. Purchase of the print or Kindle book includes a free eBook in the PDF format. Key FeaturesDesign, train, and evaluate machine learning algorithms that underpin automated trading strategiesCreate a research and strategy development process to apply predictive modeling to trading decisionsLeverage NLP and deep learning to extract tradeable signals from market and alternative dataBook Description The explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This revised and expanded second edition enables you to build and evaluate sophisticated supervised, unsupervised, and reinforcement learning models. This book introduces end-to-end machine learning for the trading workflow, from the idea and feature engineering to model optimization, strategy design, and backtesting. It illustrates this by using examples ranging from linear models and tree-based ensembles to deep-learning techniques from cutting edge research. This edition shows how to work with market, fundamental, and alternative data, such as tick data, minute and daily bars, SEC filings, earnings call transcripts, financial news, or satellite images to generate tradeable signals. It illustrates how to engineer financial features or alpha factors that enable an ML model to predict returns from price data for US and international stocks and ETFs. It also shows how to assess the signal content of new features using Alphalens and SHAP values and includes a new appendix with over one hundred alpha factor examples. By the end, you will be proficient in translating ML model predictions into a trading strategy that operates at daily or intraday horizons, and in evaluating its performance. What you will learnLeverage market, fundamental, and alternative text and image dataResearch and evaluate alpha factors using statistics, Alphalens, and SHAP valuesImplement machine learning techniques to solve investment and trading problemsBacktest and evaluate trading strategies based on machine learning using Zipline and BacktraderOptimize portfolio risk and performance analysis using pandas, NumPy, and pyfolioCreate a pairs trading strategy based on cointegration for US equities and ETFsTrain a gradient boosting model to predict intraday returns using AlgoSeek's high-quality trades and quotes dataWho this book is for If you are a data analyst, data scientist, Python developer, investment analyst, or portfolio manager interested in getting hands-on machine learning knowledge for trading, this book is for you. This book is for you if you want to learn how to extract value from a diverse set of data sources using machine learning to design your own systematic trading strategies. Some understanding of Python and machine learning techniques is required.