Trading

Learn how to translate the "language" of volume! Mark Leibovit, a leading market strategist and technical analyst with more than 35 years of trading experience, possesses a solid track record of predicting important movements in the financial market—including Black Monday of 1987, the bear markets of 2000 and 2008, and the “flash crash” of May 2010. Now, with The Trader’s Book of Volume, his secrets are yours! Focusing exclusively on volume technical analysis, The Trader’s Book of Volume describes the basics of volume, explains how to use it to identify and assess the strength of trade-worthy trends, and provides in-depth techniques and strategies for trading volume indicators for profit. With more than 400 charts and graphs, The Trader’s Book of Volume also exhaustively illustrates how readers can profit from a wide array of volume indicators, including: Broad Market Volume Indicators—Cumulative Volume Index, ARMS Index, Upside-Downside Volume, Nasdaq/ NYSE Volume Ratio, Yo-Yo Indicator Volume Indicators—Accumulation/ Distribution, Intraday Intensity, Negative Volume Index, On-Balance Volume, Open Interest Volume Oscillators—Klinger Oscillator, Chaikin Money Flow, Ease of Movement, Volume Oscillator Leibovit Volume Reversal IndicatorTM, the author’s proprietary methodology Under the author’s expert guidance, you can seamlessly incorporate Volume Analysis into your day-to-day trading program. Without a proper approach to Volume Analysis, Leibovit asserts, you’re essentially trading in the “land of the blind.” Use The Trader’s Book of Volume to gain the clearest view possible of market trends and react to them with the confidence and smarts for consistent trading success—and avoid every market crash the future holds.

Douglas uncovers the underlying reasons for lack of consistency and helps traders overcome the ingrained mental habits that cost them money. He takes on the myths of the market and exposes them one by one teaching traders to look beyond random outcomes, to understand the true realities of risk, and to be comfortable with the "probabilities" of market movement that governs all market speculation.

Every decision is a trade. Learn to think about the ones you should do — and the ones you shouldn’t. Trading books generally break down into two categories: the ones which claim to teach you how to make money trading, and the memoir-style books recounting scandals and bad behavior. But the former don't have profitable trades to teach; if they did they'd keep those trades to themselves. And the latter are frequently entertaining, but they don't leave you with much you can apply in your own life. The Laws of Trading is different. All of our relationships and decisions involve trading at some level. This is a book about decision-making through the lens of a professional prop trader. For years, behavioral and cognitive scientists have shown us how human decision-making is flawed and biased. But how do you learn to avoid these problems in day-to-day decisions where you have to react in real-time? What are the important things to think about and to act on? The world needs a book by a prop trader who has lived, breathed and taught trading for a living, drawing upon years of insights on the trading floor in real markets, good and bad, whether going sideways, crashing, or bubbling over. If you can master the decision-making skills needed to profitably trade in modern markets, you can master decision-making in all walks of life. This book will teach you exactly those skills. Introduces, develops, and applies one law per chapter, making it easy not only to remember useful concepts, but also to have them at the ready in any situation. Shows you how to find and think about the “special edge” of your organization, and yourself. Teaches you how to handle the interaction of people with artificially intelligent (AI) machines that make decisions, a skill that is rapidly becoming essential in the AI-driven economy of the future. Includes a "bonus" digital ancillary, an Excel spreadsheet with various worked examples that expand on the scenarios described in the book. Do you need to make rational decisions in a competitive environment? Almost everyone does. This book will teach you the tools that let you do your job better.

Learn a powerful trading strategy in just 15 minutes. Then use it to make money for the rest of your life. Ready to get started trading stocks, but don't know where to begin? In this book, I have collected the most popular trading strategies from my previous books: The Rubber Band Stocks Strategy The Rocket Stocks Strategy The Day Sniper Trading Strategy Imagine what it would be like if you started each morning without stress, knowing exactly which stocks to trade. Knowing where to enter, where to take profits, and where to set your stop loss. In this book, you will learn: How to spot a stock that is about to explode higher Why it's sometimes a smart idea to buy a stock that everyone hates How to screen for the best stocks to trade Insider tricks used by professional traders The one thing you must never do if a stock gaps to new highs How to tell if you are in a bull market, or a bear market And much, much more It's time to stop gambling with your hard-earned money. Join the thousands of smart traders who have improved their trading with the strategies in this book. Amazon best-selling author and retired hedge fund manager, Matthew Kratter will teach you the secrets that he has used to trade profitably for the last 20 years. These strategies are powerful, and yet so simple to use. Even if you are a complete beginner, these strategies will have you trading stocks in no time. And if you ever get stuck, you can always reach out to the author by email (provided inside of the book), and he will help you. Get started today Scroll to the top of this page and click BUY NOW.

A common denominator among most new traders is that, within six months of launching their new pursuit, they are out of money and out of trading. High-Probability Trading softens the impact of this "trader's tuition," detailing a comprehensive program for weathering those perilous first months and becoming a profitable trader. This no-nonsense book takes a uniquely blunt look at the realities of trading. Filled with real-life examples and intended for use by both short- and long-term traders, it explores each aspect of successful trading.

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.

Praise for Algorithmic TRADING “Algorithmic Trading is an insightful book on quantitative trading written by a seasoned practitioner. What sets this book apart from many others in the space is the emphasis on real examples as opposed to just theory. Concepts are not only described, they are brought to life with actual trading strategies, which give the reader insight into how and why each strategy was developed, how it was implemented, and even how it was coded. This book is a valuable resource for anyone looking to create their own systematic trading strategies and those involved in manager selection, where the knowledge contained in this book will lead to a more informed and nuanced conversation with managers.” —DAREN SMITH, CFA, CAIA, FSA, Managing Director, Manager Selection & Portfolio Construction, University of Toronto Asset Management “Using an excellent selection of mean reversion and momentum strategies, Ernie explains the rationale behind each one, shows how to test it, how to improve it, and discusses implementation issues. His book is a careful, detailed exposition of the scientific method applied to strategy development. For serious retail traders, I know of no other book that provides this range of examples and level of detail. His discussions of how regime changes affect strategies, and of risk management, are invaluable bonuses.” —ROGER HUNTER, Mathematician and Algorithmic Trader