Rocket Science For Traders

Die technische Analyse basiert auf erprobten Systemen, mit deren Hilfe man die weitere Markt- und Kursentwicklung relativ treffsicher vorhersagen kann. Einige dieser Systeme funktionieren gut bei Märkten im Auf- bzw. Abwärtstrend, andere bei Märkten im Seitwärtstrend. In "Rocket Science for Traders" beschreibt der berühmte technische Analyst John Ehlers wie er sein finanztechnisches Know-How einsetzt, um Techniken zu entwickeln, mit denen man die künftige Marktentwicklung deutlich genauer prognostizieren kann. Ehlers Methoden funktionieren auch im stärksten Hausse- oder Baissemarkt, da es in jedem Zeithorizont Auf-, Ab- und Seitwärtstrends gibt. Dieses Buch gibt dem versierten Händler die geeigeten Werkzeuge an die Hand, damit er auch in schwierigen Marktsituationen seine Anlageentscheidung auf fundierte, treffsichere Prognosen stützen kann.

What happens when a rocket scientist gets into playing the stock market? This book is chock full of hints, guidelines, and specific techniques that can facilitate successful technical, on-line, trading of stocks in the modern era. A handy list of on-line resources, inclusive of some stock advisory services, is provided as an extra benefit. Beginning stock traders will be grateful to read how to avoid pitfalls that cause most people to give up on stock trading within a year of their beginning the endeavor. On the other hand, those who have already taken the first steps down the stock trading path may learn the psychology behind why they make some decisions the way they do. The topics of whether to be a trader or an investor are addressed in a concise, easily understood manner. The subject of trends and resources serves to focus the reader's attention on these important points which are essential to successful trading. Risk management techniques are addressed in a way that makes clear why it is so important to exercise discipline. Not only the topic of "when to buy" is addressed, but the maybe even more important topic of "when to sell" receives welcome equal treatment. The personal technical indicators and techniques used by the author are laid out for anyone curious about the topic of stock trading and there is ample background information on the stock market, in general.

Predict the future more accurately in today's difficult trading times The Holy Grail of trading is knowing what the markets will do next. Technical analysis is the art of predicting the market based on tested systems. Some systems work well when markets are "trending," and some work well when they are "cycling," going neither up nor down, but sideways. In Trading with Signal Analysis, noted technical analyst John Ehlers applies his engineering expertise to develop techniques that predict the future more accurately in these times that are otherwise so difficult to trade. Since cycles and trends exist in every time horizon, these methods are useful even in the strongest bull--or bear--market. John F. Ehlers (Goleta, CA) speaks internationally on the subject of cycles in the market and has expanded the scope of his contributions to technical analysis through the application of scientific digital signal processing techniques.

Makes one of the most popular tools of market analysis available to a wider audience of traders and technical analysts Pioneered by John Ehlers in the late 1970s, the MESA method of price pattern analysis uses powerful wave theory analysis techniques, originally developed for the field of electrical engineering, to measure market cycles. MESA systems are currently used by technical analysts the world over. Top brokerages lease them and supply their clients with MESA signals and charts. And MESA systems consistently have been rated #1 by Futures Truth, the consumer reports organization of the futures industry. In this highly anticipated Second Edition of his classic work, Ehlers updates his MESA theories and makes them more accessible to a wider trading audience. Completely revised, featuring five new chapters, this new edition incorporates Ehlers's digital signal processing research into MESA. It also includes EasyLanguage programming code that makes it extremely easy for traders to take the leap from theory to practice.

Cutting-edge insight from the leader in trading technology In Cybernetic Analysis for Stocks and Futures, noted technical analyst John Ehlers continues to enlighten readers on the art of predicting the market based on tested systems. With application of his engineering expertise, Ehlers explains the latest, most advanced techniques that help traders predict stock and futures markets with surgical precision. Unique new indicators and automatic trading systems are described in text as well as Easy Language and EFS code. The approaches are universal and robust enough to be applied to a full range of market conditions. John F. Ehlers (Santa Barbara, CA) is President of MESA Software (www.mesasoftware.com) and has also written Rocket Science for Traders (0-471-40567-1) as well as numerous articles for Futures and Technical Analysis of Stocks & Commodities magazines.

A technical resource for self-directed traders who want to understand the scientific underpinnings of the filters and indicators used in trading decisions This is a technical resource book written for self-directed traders who want to understand the scientific underpinnings of the filters and indicators they use in their trading decisions. There is plenty of theory and years of research behind the unique solutions provided in this book, but the emphasis is on simplicity rather than mathematical purity. In particular, the solutions use a pragmatic approach to attain effective trading results. Cycle Analytics for Traders will allow traders to think of their indicators and trading strategies in the frequency domain as well as their motions in the time domain. This new viewpoint will enable them to select the most efficient filter lengths for the job at hand. Shows an awareness of Spectral Dilation, and how to eliminate it or to use it to your advantage Discusses how to use Automatic Gain Control (AGC) to normalize indicator amplitude swings Explains thinking of prices in the frequency domain as well as in the time domain Creates an awareness that all indicators are statistical rather than absolute, as implied by their single line displays Sheds light on several advanced cookbook filters Showcases new advanced indicators like the Even Better Sinewave and Decycler Indicators Explains how to use transforms to improve the display and interpretation of indicators

Success as a day trader will only come to 10 percent of those who try. It’s important to understand why most traders fail so that you can avoid those mistakes. The day traders who lose money in the market are losing because of a failure to either choose the right stocks, manage risk, and find proper entries or follow the rules of a proven strategy. In this book, I will teach you trading techniques that I personally use to profit from the market. Before diving into the trading strategies, we will first build your foundation for success as a trader by discussing the two most important skills you can possess. I like to say that a day trader is two things: a hunter of volatility and a manager of risk. I’ll explain how to find predictable volatility and how to manage your risk so you can make money and be right only 50 percent of the time. We turn the tables by putting the odds for success in your favor. By picking up this book, you show dedication to improve your trading. This by itself sets you apart from the majority of beginner traders.

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.