Technical Analysis
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Copyrighted Material
INDEX Page numbers followed by n indicate note numbers. A Arnott, Robert, 391 Ascending triangle pattern, 140–141 AB model. See Abreu-Brunnermeier model Asks (offers), 8 Abreu-Brunnermeier (AB) model, 481–482 Aspray, Thomas, 223 Absolute breadth index, 327–328 ATM. See Automated teller machine Absolute difference, 327–328 ATR. See Average trading range; Average Accelerated trend lines, 65–66 true range Acceleration factor, 88, 89 At-the-money, 418 Accumulation, 213 Average range, 79–80 ACD method, 186 Average trading range (ATR), 113 Achelis, Steven B., 214n1 Average true range (ATR), 79–80 Active month, 401 Ayers-Hughes double negative divergence AD. See Chaikin Accumulation Distribution analysis, 11 Adaptive markets hypothesis, 12, 503 Ayres, Leonard P. (Colonel), 319–320 implications of, 504 ADRs. See American depository receipts ADSs. See American depository shares B 631 Advance, 316 Bachelier, Louis, 493 Advance-decline methods Bailout, 159 advance-decline line moving average, 322 Baltic Dry Index (BDI), 386 one-day change in, 322 Bands, 118–121 ratio, 328–329 trading strategies and, 120–121, 216, 559 that no longer are profitable, 322 Bandwidth indicator, 121 to its 32-week simple moving average, Bar chart patterns, 125–157. See also Patterns 322–324 behavioral finance and pattern recognition, ADX. See Directional Movement Index 129–130 Alexander, Sidney, 494 classic, 134–149, 156 Alexander’s filter technique, 494–495 computers and pattern recognition, 130–131 American Association of Individual Investors learning objective statements, 125 (AAII), 520–525 long-term, 155–156 American depository receipts (ADRs), 317 market structure and pattern American FinanceCOPYRIGHTED Association, 479, 493 MATERIALrecognition, 131 Amplitude, 348 overview, 125–126 Analysis pattern description, 126–128 description of, 300 profitability of, 133–134 fundamental, 473 Bar charts, 38–39 Andrews, Dr. -
Point and Figure Charts
Point and Figure Charts Point-and-figure (P&F) chart is a special type of graphical analysis, which lays stress to prediction of medium-term and long-term trends. Conclusion Let’s single out advantages and disadvantages of Point and Figure charts. Point and Figure Advantages 1. P&F charts send only clear buy or sell signals without any dual nature. 2. P&F charts take into account only “important” price changes and filter out market noise. This being said, the “importance” of changes is set by a trader. 3. P&F charts are not affected by time effect, which sometimes introduces additional element of uncertainty on general charts. 4. P&F charts allow to identify support and resistance levels, and also trend lines. 5. P&F charts are very intelligible. Point and Figure Disadvantages 1. P&F charts send clear signals only for medium-term and long-term periods and are almost not intended for short-term trade. Building Point and Figure Charts The majority of the most popular charts, used for technical analysis, are built in accordance with opening price, closing price, maximum or minimum for a definite period. Only closing price for a period is used for building Point and Figure charts. Point and Figure charts consist of X and O columns, which reflect the filtered price changes. Increase in prices is shown by “X” boxes, and drop in prices is shown by “O” boxes. New boxes are created only in case of price change by the size of a box or more in one of directions. -
Elliott Wave Principle
THE BASICS OF THE ELLIOTT WAVE PRINCIPLE by Robert R. Prechter, Jr. Published by NEW CLASSICS LIBRARY a division of Post Office Box 1618, Gainesville, GA 30503 USA 800-336-1618 or 770-536-0309 or fax 770-536-2514 THE BASICS OF THE ELLIOTT WAVE PRINCIPLE Copyright © 1995-2004 by Robert R. Prechter, Jr. Printed in the United States of America First Edition: August 1995 Second Edition: February 1996 Third Edition: April 2000 Fourth Edition: June 2004 August 2007 For information, address the publishers: New Classics Library a division of Elliott Wave International Post Office Box 1618 Gainesville, Georgia 30503 USA All rights reserved. The material in this volume may not be reprinted or reproduced in any manner whatsoever. Violators will be prosecuted to the fullest extent of the law. Cover design: Marc Benejan Production: Pamela Greenwood ISBN: 0-932750-63-X CONTENTS 7 The Basics 7 The Five Wave Pattern 8 Wave Mode 10 The Essential Design 11 Variations on the Basic Theme 12 Wave Degree 14 Motive Waves 14 Impulse 16 Extension 17 Truncation 18 Diagonal Triangles (Wedges) 19 Corrective Waves 19 Zigzags (5-3-5) 21 Flats (3-3-5) 22 Horizontal Triangles (Triangles) 24 Combinations (Double and Triple Threes) 26 Guidelines of Wave Formation 26 Alternation 26 Depth of Corrective Waves 27 Channeling Technique 28 Volume 29 Learning the Basics 32 The Fibonacci Sequence and its Application 35 Ratio Analysis 35 Retracements 36 Motive Wave Multiples 37 Corrective Wave Multiples 40 Perspective 41 Glossary FOREWORD By understanding the Wave Principle, you can antici- pate large and small shifts in the psychology driving any investment market and help yourself minimize the emo- tions that drive your own investment decisions. -
Putting Volatility to Work
Wh o ’ s afraid of volatility? Not anyone who wants a true edge in his or her trad i n g , th a t ’ s for sure. Get a handle on the essential concepts and learn how to improve your trading with pr actical volatility analysis and trading techniques. 2 www.activetradermag.com • April 2001 • ACTIVE TRADER TRADING Strategies BY RAVI KANT JAIN olatility is both the boon and bane of all traders — The result corresponds closely to the percentage price you can’t live with it and you can’t really trade change of the stock. without it. Most of us have an idea of what volatility is. We usually 2. Calculate the average day-to-day changes over a certain thinkV of “choppy” markets and wide price swings when the period. Add together all the changes for a given period (n) and topic of volatility arises. These basic concepts are accurate, but calculate an average for them (Rm): they also lack nuance. Volatility is simply a measure of the degree of price move- Rt ment in a stock, futures contract or any other market. What’s n necessary for traders is to be able to bridge the gap between the Rm = simple concepts mentioned above and the sometimes confus- n ing mathematics often used to define and describe volatility. 3. Find out how far prices vary from the average calculated But by understanding certain volatility measures, any trad- in Step 2. The historical volatility (HV) is the “average vari- er — options or otherwise — can learn to make practical use of ance” from the mean (the “standard deviation”), and is esti- volatility analysis and volatility-based strategies. -
A Test of Macd Trading Strategy
A TEST OF MACD TRADING STRATEGY Bill Huang Master of Business Administration, University of Leicester, 2005 Yong Soo Kim Bachelor of Business Administration, Yonsei University, 200 1 PROJECT SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF BUSINESS ADMINISTRATION In the Faculty of Business Administration Global Asset and Wealth Management MBA O Bill HuangIYong Soo Kim 2006 SIMON FRASER UNIVERSITY Fall 2006 All rights reserved. This work may not be reproduced in whole or in part, by photocopy or other means, without permission of the author. APPROVAL Name: Bill Huang 1 Yong Soo Kim Degree: Master of Business Administration Title of Project: A Test of MACD Trading Strategy Supervisory Committee: Dr. Peter Klein Senior Supervisor Professor, Faculty of Business Administration Dr. Daniel Smith Second Reader Assistant Professor, Faculty of Business Administration Date Approved: SIMON FRASER . UNI~ER~IW~Ibra ry DECLARATION OF PARTIAL COPYRIGHT LICENCE The author, whose copyright is declared on the title page of this work, has granted to Simon Fraser University the right to lend this thesis, project or extended essay to users of the Simon Fraser University Library, and to make partial or single copies only for such users or in response to a request from the library of any other university, or other educational institution, on its own behalf or for one of its users. The author has further granted permission to Simon Fraser University to keep or make a digital copy for use in its circulating collection (currently available to the public at the "lnstitutional Repository" link of the SFU Library website <www.lib.sfu.ca> at: ~http:llir.lib.sfu.calhandlell8921112~)and, without changing the content, to translate the thesislproject or extended essays, if .technically possible, to any medium or format for the purpose of preservation of the digital work. -
Testing the Profitability of Technical Analysis in Singapore And
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by ScholarBank@NUS Testing the Profitability of Technical Analysis in Singapore and Malaysian Stock Markets Department of Electrical and Computer Engineering Zoheb Jamal HT080461R In partial fulfillment of the requirements for the Degree of Master of Engineering National University of Singapore 2010 1 Abstract Technical Analysis is a graphical method of looking at the history of price of a stock to deduce the probable future trend in its return. Being primarily visual, this technique of analysis is difficult to quantify as there are numerous definitions mentioned in the literature. Choosing one over the other might lead to data- snooping bias. This thesis attempts to create a universe of technical rules, which are then tested on historical data of Straits Times Index and Kuala Lumpur Composite Index. The technical indicators tested are Filter Rules, Moving Averages, Channel Breakouts, Support and Resistance and Momentum Strategies in Price. The technical chart patterns tested are Head and Shoulders, Inverse Head and Shoulders, Broadening Tops and Bottoms, Triangle Tops and Bottoms, Rectangle Tops and Bottoms, Double Tops and Bottoms. This thesis also outlines a pattern recognition algorithm based on local polynomial regression to identify technical chart patterns that is an improvement over the kernel regression approach developed by Lo, Mamaysky and Wang [4]. 2 Acknowledgements I would like to thank my supervisor Dr Shuzhi Sam Ge whose invaluable advice and support made this research possible. His mentoring and encouragement motivated me to attempt a project in Financial Engineering, even though I did not have a background in Finance. -
New Elliott Wave Principle
History The Elliott Wave Theory is named after Ralph Nelson Elliott. In the 1930s, Ralph Nelson Elliott found that the markets exhibited certain repeated patterns. His primary research was with stock market data for the Dow Jones Industrial Average. This research identified patterns or waves that recur in the markets. Very simply, in the direction of the trend, expect five waves. Any corrections against the trend are in three waves. Three wave corrections are lettered as "a, b, c." These patterns can be seen in long-term as well as in short-term charts. In Elliott's model, market prices alternate between an impulsive, or motive phase, and a corrective phase on all time scales of trend, as the illustration shows. Impulses are always subdivided into a set of 5 lower-degree waves, alternating again between motive and corrective character, so that waves 1, 3, and 5 are impulses, and waves 2 and 4 are smaller retraces of waves 1 and 3. Corrective waves subdivide into 3 smaller-degree waves. In a bear market the dominant trend is downward, so the pattern is reversed—five waves down and three up. Motive waves always move with the trend, while corrective waves move against it and hence called corrective waves. Ideally, smaller patterns can be identified within bigger patterns. In this sense, Elliott Waves are like a piece of broccoli, where the smaller piece, if broken off from the bigger piece, does, in fact, look like the big piece. This information (about smaller patterns fitting into bigger patterns), coupled with the Fibonacci relationships between the waves, offers the trader a level of anticipation and/or prediction when searching for and identifying trading opportunities with solid reward/risk ratios. -
FOREX WAVE THEORY.Pdf
FOREX WAVE THEORY This page intentionally left blank FOREX WAVE THEORY A Technical Analysis for Spot and Futures Currency Traders JAMES L. BICKFORD McGraw-Hill New York Chicago San Francisco Lisbon London Madrid Mexico City Milan New Delhi San Juan Seoul Singapore Sydney Toronto Copyright © 2007 by The McGraw-Hill Companies. All rights reserved. Manufactured in the United States of America. Except as permitted under the United States Copyright Act of 1976, no part of this publication may be reproduced or distributed in any form or by any means, or stored in a database or retrieval system, without the prior written permission of the publisher. 0-07-151046-X The material in this eBook also appears in the print version of this title: 0-07-149302-6. All trademarks are trademarks of their respective owners. Rather than put a trademark symbol after every occurrence of a trademarked name, we use names in an editorial fashion only, and to the benefit of the trademark owner, with no intention of infringement of the trademark. Where such designations appear in this book, they have been printed with initial caps. McGraw-Hill eBooks are available at special quantity discounts to use as premiums and sales pro- motions, or for use in corporate training programs. For more information, please contact George Hoare, Special Sales, at [email protected] or (212) 904-4069. TERMS OF USE This is a copyrighted work and The McGraw-Hill Companies, Inc. (“McGraw-Hill”) and its licen- sors reserve all rights in and to the work. Use of this work is subject to these terms. -
Technical and Fundamental Analysis
University of Tennessee, Knoxville TRACE: Tennessee Research and Creative Exchange Supervised Undergraduate Student Research Chancellor’s Honors Program Projects and Creative Work 12-2016 Understanding the Retail Investor: Technical and Fundamental Analysis Ben Davis [email protected] Follow this and additional works at: https://trace.tennessee.edu/utk_chanhonoproj Part of the Finance and Financial Management Commons Recommended Citation Davis, Ben, "Understanding the Retail Investor: Technical and Fundamental Analysis" (2016). Chancellor’s Honors Program Projects. https://trace.tennessee.edu/utk_chanhonoproj/2024 This Dissertation/Thesis is brought to you for free and open access by the Supervised Undergraduate Student Research and Creative Work at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in Chancellor’s Honors Program Projects by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. University of Tennessee Global Leadership Scholars & Chancellors Honors Program Undergraduate Thesis Understanding the Retail Investor: Technical and Fundamental Analysis Benjamin Craig Davis Advisor: Dr. Daniel Flint April 22, 2016 1 Understanding the Retail Investor: Fundamental and Technical Analysis Abstract: If there is one thing that people take more seriously than their health, it is money. Behavior and emotion influence how retail investors make decisions on the methodology of investing/trading their money. The purpose of this study is to better understand what influences retail investors to choose the method by which they invest in capital markets. By better understanding what influences retail investors to choose a certain investment methodology, eventually researchers can provide tailored and normative advice to investors as well as the financial planning industry in effectively and efficiently working with clients. -
Proquest Dissertations
INFORMATION TO USERS This manuscript has been reproduced from the microfilm master. UMI films the text directly from the original or copy sutxnitted. Thus, some thesis and dissertation copies are in typewriter face, while others may be from any type of computer printer. The quality of this reproduction is dependent upon the quality of the copy submitted. Broken or indisünct print, colored or poor quality illustrations and photographs, print bleedthrough, substandard margins, and improper alignment can adversely affect reproduction. In the unlikely event that the author did not send UMI a complete manuscript and there are missing pages, these will be noted. Also, if unauthorized copyright material had to be removed, a note will indicate the deletion. Oversize materials (e.g., maps, drawings, charts) are reproduced by sectioning the original, beginning at the upper left-hand comer and continuing from left to right in equal sections with small overlaps. Photographs included in the original manuscript have been reproduced xerographically in this copy. Higher quality 6” x 9” black and white photographic prints are available for any photographs or illustrations appearing in this copy for an additional charge. Contact UMI directly to order. Bell & Howell Information and Leaming 300 North Zeeb Road. Ann Arbor, Ml 48106-1346 USA 800-521-0600 UMÏ METAPHORS OF EXCHANGE AND THE SHANGHAI STOCK MARKET DISSERTATION Presented in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy in the Graduate School o f The Ohio State University By Susan Diane Menke, M A ***** The Ohio State University 2000 Dissertation committee: Approved by: Dr. -
Forecasting Direction of Exchange Rate Fluctuations with Two Dimensional Patterns and Currency Strength
FORECASTING DIRECTION OF EXCHANGE RATE FLUCTUATIONS WITH TWO DIMENSIONAL PATTERNS AND CURRENCY STRENGTH A THESIS SUBMITTED TO THE GRADUATE SCHOOL OF NATURAL AND APPLIED SCIENCES OF MIDDLE EAST TECHNICAL UNIVERSITY BY MUSTAFA ONUR ÖZORHAN IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PILOSOPHY IN COMPUTER ENGINEERING MAY 2017 Approval of the thesis: FORECASTING DIRECTION OF EXCHANGE RATE FLUCTUATIONS WITH TWO DIMENSIONAL PATTERNS AND CURRENCY STRENGTH submitted by MUSTAFA ONUR ÖZORHAN in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computer Engineering Department, Middle East Technical University by, Prof. Dr. Gülbin Dural Ünver _______________ Dean, Graduate School of Natural and Applied Sciences Prof. Dr. Adnan Yazıcı _______________ Head of Department, Computer Engineering Prof. Dr. İsmail Hakkı Toroslu _______________ Supervisor, Computer Engineering Department, METU Examining Committee Members: Prof. Dr. Tolga Can _______________ Computer Engineering Department, METU Prof. Dr. İsmail Hakkı Toroslu _______________ Computer Engineering Department, METU Assoc. Prof. Dr. Cem İyigün _______________ Industrial Engineering Department, METU Assoc. Prof. Dr. Tansel Özyer _______________ Computer Engineering Department, TOBB University of Economics and Technology Assist. Prof. Dr. Murat Özbayoğlu _______________ Computer Engineering Department, TOBB University of Economics and Technology Date: ___24.05.2017___ I hereby declare that all information in this document has been obtained and presented in accordance with academic rules and ethical conduct. I also declare that, as required by these rules and conduct, I have fully cited and referenced all material and results that are not original to this work. Name, Last name: MUSTAFA ONUR ÖZORHAN Signature: iv ABSTRACT FORECASTING DIRECTION OF EXCHANGE RATE FLUCTUATIONS WITH TWO DIMENSIONAL PATTERNS AND CURRENCY STRENGTH Özorhan, Mustafa Onur Ph.D., Department of Computer Engineering Supervisor: Prof. -
An Interview with John Bollinger
® AIQ Opening BellMonthly IN THIS ISSUE VOL. 6 ISSUE 2 FEBRUARY 1997 TRADING TECHNIQUES Feature John Bollinger discusses his Bollinger Bands .................. 1 AN INTERVIEW WITH JOHN BOLLINGER Se ctions account program, what percent of the By David Vomund investments are in equities and what is Price Volume Divergence your average holding period? Report .................................. 5 his month we are pleased to JB: We are primarily equity Market Review ..................... 8 present an interview with John investors. We dont buy any futures. Data Maintenance ............... 8 Bollinger, a keynote speaker at Our growth model is currently allo- Tour March seminar in Dallas. Mr. cated approximately 60% to the stock Bollinger is market, 20% to the president of bond market, and Bollinger Capital 20% to the interna- Management. He tional stock mar- provides money ket. We are management primarily interme- services and diate term traders. publishes the Our research tends Capital Growth to center on a Letter. He is best holding period of known for his three to six months Bollinger Bands, with most of the which is a feature emphasis on six in TradingExpert. months. However, For information on that doesnt Bollinger Capital preclude us from The Opening Bell Monthly Managements John Bollinger, CFA, CMT taking advantage is a publication of products and of short term AIQ Incorporated services, call 310-798-8855 or write to opportunities, for example when we see David Vomund, Chief Analyst P.O. Box 3358, Manhattan Beach, CA an attractive technical non-confirma- P.O. Box 7530 90266. Send e-mail to tion. Incline Village, Nevada 89452 [email protected].