Trading Strategies

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.

This book shows traders how to use Intermarket Analysis to forecast future equity, index and commodity price movements. It introduces custom indicators and Intermarket based systems using basic mathematical and statistical principles to help traders develop and design Intermarket trading systems appropriate for long term, intermediate, short term and day trading. The metastock code for all systems is included and the testing method is described thoroughly. All systems are back tested using at least 200 bars of historical data and compared using various profitability and drawdown metrics.

Ein Überblick über die aktuellsten Technologien zum Aufbau einer Handelsstrategie: neuronale Netzwerke, genetische Algorithmen, Expertensysteme, Fuzzy logic und statistische Mustererkennung. Gezeigt wird, wie diese neuen Methoden in klassische Analysenverfahren integriert werden können. Auch Erläuterungen zur Prüfung und Bewertung existierender Systeme kommen nicht zu kurz.

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

The book provides detailed descriptions, including more than 550 mathematical formulas, for more than 150 trading strategies across a host of asset classes and trading styles. These include stocks, options, fixed income, futures, ETFs, indexes, commodities, foreign exchange, convertibles, structured assets, volatility, real estate, distressed assets, cash, cryptocurrencies, weather, energy, inflation, global macro, infrastructure, and tax arbitrage. Some strategies are based on machine learning algorithms such as artificial neural networks, Bayes, and k-nearest neighbors. The book also includes source code for illustrating out-of-sample backtesting, around 2,000 bibliographic references, and more than 900 glossary, acronym and math definitions. The presentation is intended to be descriptive and pedagogical and of particular interest to finance practitioners, traders, researchers, academics, and business school and finance program students.

"The decisions that investment professionals and fund managers make have a direct impact on investor return. Unfortunately, the best implementation methodologies are not widely disseminated throughout the professional community, compromising the best interests of funds, their managers, and ultimately the individual investor. But now there is a strategy that lets professionals make better decisions. This valuable reference answers crucial questions such as: * How do I compare strategies? * Should I trade aggressively or passively? * How do I estimate trading costs, ""slice"" an order, and measure performance? and dozens more. Optimal Trading Strategies is the first book to give professionals the methodology and framework they need to make educated implementation decisions based on the objectives and goals of the funds they manage and the clients they serve."

Introducing Deron Wagner's Sector Trading Strategies – a brilliantly simple way to target profits in every market. Wagner walks you through his strategies for charting the market sectors, helping you determine if your stock, option, or other financial product is positioned for huge profit – or actually at risk for a loss. Wagner focuses first on the skills necessary for sector trading – identifying the realm of tradeable sectors, picking the best indicators, and analyzing risk – then lays out his top three strategic methodologies for effective sector trading. To maximize the power of this guide, you'll also receive access to an interactive online review tool at Traders' Library's Education Corner. Inside, learn the nuts and bolts of successful sector trading: The basics of reciprocal relationships and how to profit from them; How to follow mutual fund and other institutional money flow to find the next big trade; How and when to rotate your investment capital and optimize your returns; How to identify strong and weak sectors to place trades that have the best possible upside; Various methods for entering and exiting positions to gain and protect profits; How to increase your daily number of trading opportunities to exploit any market condition; How ETFs and options can be leveraged to get the most from the least; How to analyze risk to increase your trading peace of mind. To obtain the trading power of the big institutions, you need Wagner's Sector Trading Strategies. With his help, you will be able to generate consistent profits no matter what the markets throw your way.

This book addresses selected practical applications and recent developments in the areas of quantitative financial modeling in derivatives instruments, some of which are from the authorsOCO own research and practice. While the primary scope of this book is the fixed-income market (with further focus on the interest rate market), many of the methodologies presented also apply to other financial markets, such as the credit, equity, and foreign exchange markets. This book, which assumes that the reader is familiar with the basics of stochastic calculus and derivatives modeling, is written from the point of view of financial engineers or practitioners, and, as such, it puts more emphasis on the practical applications of financial mathematics in the real market than the mathematics itself with precise (and tedious) technical conditions. It attempts to combine economic insights with mathematics and modeling so as to help the reader develop intuitions. In addition, the book addresses the counterparty credit risk modeling, pricing, and arbitraging strategies, which are relatively recent developments and are of increasing importance. It also discusses various trading structuring strategies and touches upon some popular credit/IR/FX hybrid products, such as PRDC, TARN, Snowballs, Snowbears, CCDS, credit extinguishers."