Download or read book Simple Technical Trading Rules and the Stochastic Properties of Stock Returns written by William A. Brock and published by . This book was released on 1992* with total page 31 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Simple Technical Trading Rules written by and published by . This book was released on 2009 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Technical Analysis of the Financial Markets written by John J. Murphy and published by Penguin. This book was released on 1999-01-01 with total page 579 pages. Available in PDF, EPUB and Kindle. Book excerpt: John J. Murphy has updated his landmark bestseller Technical Analysis of the Futures Markets, to include all of the financial markets. This outstanding reference has already taught thousands of traders the concepts of technical analysis and their application in the futures and stock markets. Covering the latest developments in computer technology, technical tools, and indicators, the second edition features new material on candlestick charting, intermarket relationships, stocks and stock rotation, plus state-of-the-art examples and figures. From how to read charts to understanding indicators and the crucial role technical analysis plays in investing, readers gain a thorough and accessible overview of the field of technical analysis, with a special emphasis on futures markets. Revised and expanded for the demands of today's financial world, this book is essential reading for anyone interested in tracking and analyzing market behavior.

Download or read book Technical Trading Online written by Jerold Roth and published by John Wiley & Sons. This book was released on 2002-02-28 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: The four golden rules of trading in one invaluable book Here is the first online trading book to present a detailed approach to using technical analysis online in the real world of stock trading for any trader, regardless of his or her strategy. Using a comprehensive trading model that can be modified to meet the individual trader's needs, this professionally crafted advice will make a pro out of anyone. Also included is a reference to the next online resources for charting.

Download or read book Why Technical Trading Works a Simple Illustration written by Stefan Reitz and published by . This book was released on 2002 with total page 11 pages. Available in PDF, EPUB and Kindle. Book excerpt: Notwithstanding its widespread use and well documented profitability, technical analysis is still not accepted by the academia. This may be due to the fact that the causes of this profitability are not yet well understood. This paper suggests a rational for the application of technical trading rules. It is assumed that some of the asset price fundamentals are observable only with a considerable lag or not observable at all. Within this realistic informational environment a moving average trading rule is able to detect possible regime shifts in the process of currently unobservable fundamentals. Moving average trading rules can be interpreted as a cheap proxy for Bayesian learning and complementary to the standard forward looking approach of asset price expectations.

Download or read book Technical Analysis For Dummies written by Barbara Rockefeller and published by John Wiley & Sons. This book was released on 2010-12-15 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: A simple, straightforward guide to the fundamentals of technical analysis Technical analysis is a collection of techniques designed to help people make trading decisions. Technical Analysis For Dummies, 2nd Edition explains the basic principles and shows you how to apply these principles in an approachable and non-intimidating way. Since the publication of the first edition of Technical Analysis For Dummies, readers have been faced with many changes to the investment landscape, such as new interest rates, looming bank crises, and adjusting market climates. This updated edition includes information on the new indicators, hands-on applications for real-world situations, as well as practical examples that reflect today's financial atmosphere. Determine how markets are performing and make decisions using real data Spot investment trends and turning points Improve your profits and your portfolio performance With straightforward coverage of concepts and execution, Technical Analysis For Dummies shows you how to make better trading decisions in no time.

Download or read book Evidence Based Technical Analysis written by David Aronson and published by John Wiley & Sons. This book was released on 2011-07-11 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evidence-Based Technical Analysis examines how you can apply the scientific method, and recently developed statistical tests, to determine the true effectiveness of technical trading signals. Throughout the book, expert David Aronson provides you with comprehensive coverage of this new methodology, which is specifically designed for evaluating the performance of rules/signals that are discovered by data mining.

Download or read book Technical Trading Rules written by Philipp Jan Siegert and published by VDM Publishing. This book was released on 2007-02-01 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most banks and the recently upcoming hedge fund industry rely to a different extent on technical trading rules and technical analysis. The fact that these technical trading rules yield superior returns in practice raises several questions that will be examined in this book. First, one of the most crucial questions is in which assets technical trading rules perform extraordinarily well. This analysis is based on a risk-return approach with an assessment of the negative standard deviation of each asset as a risk indicator. Second, the statistical significance of technical trading is examined by using a simulation method known as bootstrap. Third, null models are simulated to answer the question to what extent autoregressive models and GARCH models are able to capture the dependencies in the future time series. Finally, a rule optimizer algorithm is developed to assess if any rule parameters yield superior returns over a wide range of assets.

Download or read book Simple Technical Trading Rule by Using Moving Average written by Sui-choi Mak (Billy) and published by . This book was released on 1995 with total page 15 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book A Short Course in Technical Trading written by Perry J. Kaufman and published by John Wiley & Sons. This book was released on 2003-06-25 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn to trade using technical analysis, market indicators, simple portfolio analysis, generally successful trading techniques, and common sense with this straightforward, accessible book. Essentially a course in making money, A Short Course in Technical Trading teaches proven long- and short-term trading techniques (with an emphasis on short-term), covering basic indicators and how you can best use them to your advantage. The book includes a trading game so you can trade along with the lessons, posing likely problems that you'll encounter once trading begins. As trading becomes more complicated, so do the problems.. You'll get a running start as a trader with usage tips on the most popular trading tools. A Short Course in Technical Trading is unlike any other book on the market and is available at a convenient low price.

Download or read book Advanced Trading Rules written by Emmanual Acar and published by Butterworth-Heinemann. This book was released on 2002-06-05 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced Trading Rules is the essential guide to state of the art techniques currently used by the very best financial traders, analysts and fund managers. The editors have brought together the world's leading professional and academic experts to explain how to understand, develop and apply cutting edge trading rules and systems. It is indispensable reading if you are involved in the derivatives, fixed income, foreign exchange and equities markets. Advanced Trading Rules demonstrates how to apply econometrics, computer modelling, technical and quantitative analysis to generate superior returns, showing how you can stay ahead of the curve by finding out why certain methods succeed or fail. Profit from this book by understanding how to use: stochastic properties of trading strategies; technical indicators; neural networks; genetic algorithms; quantitative techniques; charts. Financial markets professionals will discover a wealth of applicable ideas and methods to help them to improve their performance and profits. Students and academics working in this area will also benefit from the rigorous and theoretically sound analysis of this dynamic and exciting area of finance. The essential guide to state of the art techniques currently used by the very best financial traders, analysts and fund managers Provides a complete overview of cutting edge financial markets trading rules, including new material on technical analysis and evaluation Demonstrates how to apply econometrics, computer modeling, technical and quantitative analysis to generate superior returns

Download or read book Mining Optimal Technical Trading Rules with Genetic Algorithms written by Rujun Shen and published by . This book was released on 2017-01-26 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation, "Mining Optimal Technical Trading Rules With Genetic Algorithms" by Rujun, Shen, 沈汝君, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: In recent years technical trading rules are widely known by more and more people, not only the academics many investors also learn to apply them in financial markets. One approach of constructing technical trading rules is to use technical indicators, such as moving average(MA) and filter rules. These trading rules are widely used possibly because the technical indicators are simple to compute and can be programmed easily. An alternative approach of constructing technical trading rules is to rely on some chart patterns. However, the patterns and signals detected by these rules are often made by the visual inspection through human eyes. As for as I know, there are no universally acceptable methods of constructing the chart patterns. In 2000, Prof. Andrew Lo and his colleagues are the first ones who define five pairs of chart patterns mathematically. They are Head-and-Shoulders(HS) & Inverted Headand- Shoulders(IHS), Broadening tops(BTOP) & bottoms(BBOT), Triangle tops(TTOP) & bottoms(TBOT), Rectangle tops(RTOP) & bottoms( RBOT) and Double tops(DTOP) & bottoms(DBOT). The basic formulation of a chart pattern consists of two steps: detection of (i) extreme points of a price series; and (ii) shape of the pattern. In Lo et al.(2000), the method of kernel smoothing was used to identify the extreme points. It was admitted by Lo et al. (2000) that the optimal bandwidth used in kernel method is not the best choice and the expert judgement is needed in detecting the bandwidth. In addition, their work considered chart pattern detection only but no buy/sell signal detection. It should be noted that it is possible to have a chart pattern formed without a signal detected, but in this case no transaction will be made. In this thesis, I propose a new class of technical trading rules which aims to resolve the above problems. More specifically, each chart pattern is parameterized by a set of parameters which governs the shape of the pattern, the entry and exit signals of trades. Then the optimal set of parameters can be determined by using genetic algorithms (GAs). The advantage of GA is that they can deal with a high-dimensional optimization problems no matter the parameters to be optimized are continuous or discrete. In addition, GA can also be convenient to use in the situation that the fitness function is not differentiable or has a multi-modal surface. DOI: 10.5353/th_b4787001 Subjects: Stocks - Prices - Statistical methods Investments - Statistical methods Genetic algorithms

Download or read book Technical Trading Rules Empirical Evidence from Future Data written by Philipp Jan Siegert and published by GRIN Verlag. This book was released on 2005-10-27 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master's Thesis from the year 2005 in the subject Business economics - Banking, Stock Exchanges, Insurance, Accounting, grade: A, Sophia Antipolis Campus (France); SKEMA Business School (Global Finance Chair), language: English, abstract: Most banks and the recently upcoming hedge fund industry rely to a different extent on technical trading rules and technical analysis. The fact that these technical trading rules yield superior returns in practice raises several questions that will be examined in the thesis. First, one of the most crucial questions is in which assets technical trading rules perform extraordinarily well. This analysis is based on a risk-return approach with an assessment of the negative standard deviation of each asset as a risk indicator. Second, the statistical significance of technical trading is examined by using a simulation method known as bootstrap. Third, null models are simulated to answer the question to what extent autoregressive models and GARCH models are able to capture the dependencies in the time series. Finally, a rule optimizer is used to assess if any rule parameters yield superior returns over a wide range of assets. We find that under a risk-return perspective trading rules look very attractive as most rules are able to significantly reduce the negative standard deviation compared to a buy-and-hold strategy. However, not all rules are able to outperform a simple buy-and-hold strategy in terms of absolute return. Statistical significance is generally weak and only some rules can be qualified as highly statistically significant. We do not find much evidence that autoregressive and GARCH null models perform well in capturing the dependencies that lead to superior returns of technical trading rules. With respect to trading rule parameters we find that shorter rules generally perform better when trading costs are not considered and that currencies benefited from a larger standard deviation trading band.

Download or read book Trading Rules written by William F. Eng and published by . This book was released on 2006-08 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Succeeding in the market takes a kind of wisdom that comes from years of experience and insight. Mix this wisdom with intelligent planning and a calm patience and you have all the making of a winning trader. But how does one remain calm and plan intelligently? This can only come from watching the successes and failures in the market over many years. William Eng has earned has earned his place in the libraries of trading literature. His awareness of market trends and insights into basic human behavior have allowed him to pinpoint the most critical rules of trading process, rules that can guide a life-long winning career. Learn to: . Manage your trades so you make the most money . Sell short as often as you go long . Keep a profit from turning into a loss . Trade at the market and not use price limit orders Prosper from Eng's lifelong adventure in the investment world and learn how to make money and cut losses. Whether you are new to trading or a seasoned professional, you'll learn something new from this book-something you'll wish you had know years ago.

Download or read book Application of Simple Technical Trading Rules to Swiss Stock Prices written by Dušan Isakov and published by . This book was released on 1998 with total page 17 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Stock Price Volatility and Volume written by Ki-Yeol Kwon and published by . This book was released on 1999 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many recent studies in technical trading rules show more potential value than earlier studies. The profitability of the technical trading rules (the filter rules and moving average rules) is investigated for the individual stocks in the first essay. Although the performances of the technical trading rules vary across securities, the 0.5% filter rule and the 10-day moving average rule generally perform well over all securities in the DJIA with one-way 0.1% transaction costs. The second essay consists of an empirical analysis on technical trading rules (the simple price moving average, momentum, and trading volume) in the stock market index. The traditional t-test is applied to examine the value of technical trading rules. The t-test is extended through using the residual bootstrap methodology under the technical trading rules utilizing random walk, GARCH-M and GARCH-M with some instrument variables. Overall, the results show that the technical trading rules add a value to capture profit opportunities over the buy-hold strategy. The generated returns from the null models does not recover the properties (mean and variance) of actual returns. The discrepancies between the simulated returns and the actual returns are large when the trading volume is considered into the technical trading rules. The limitations of test statistics, which are the independence assumption of the samples and observations, are re-solved in the Chapter VI. The application of the bootstrap on the GARCH models is demonstrated and is examined the statistical properties of the maximum likelihood estimates (MLE) on the GARCH model using (1) the parametric bootstrap, (2) non-parametric bootstrap, (3) asymptotic method. The current study uses the Monte Carlo simulation. Unlike conventional statistical methods, the bootstrap method may be relatively robust in terms of accounting for non-normality, autocorrelation, and conditional heteroskedasticity. The results show the empirical justification of bootstrap on the GARCH models.

Download or read book Tests of Random Walk Model Simple Technical Trading Rules and Seasonal Patterns in the Hong Kong Stock Market written by Kwong-Chin Cheung and published by . This book was released on 1997 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: