Doing the Wave with Jeffrey Kennedy
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
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. -
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. -
Calibration of Bollinger Bands Parameters for Trading Strategy Development in the Baltic Stock Market
ISSN 1392 – 2785 Inzinerine Ekonomika-Engineering Economics, 2010, 21(3), 244-254 Calibration of Bollinger Bands Parameters for Trading Strategy Development in the Baltic Stock Market Audrius Kabasinskas, Ugnius Macys Kaunas University of Technology K. Donelaicio st. 73, LT-44029, Kaunas, Lithuania e-mail: [email protected], [email protected] In recent decades there was a robust boom in "Bollinger plotter" was developed using the most investment sector in Lithuania, as more people chose to popular mathematical toolbox MatLab in order to solve invest money in investment funds rather than keep money in stated problems. Application is capable of charting the closet. The Baltic States Market turnover has increased Bollinger Bands and 6 other technical indicators with from 721 MEUR in 2000 to 978 MEUR in 2008 (with peak desired period of time. This software is not a fully 2603 MEUR in 2005). When difficult period appeared in automated decision making system, as decisions are global markets, a lot of attention was dedicated towards the usually made based on value judgment. managing of investments. Investment management firms in Since the stock returns usually have distributions with Lithuania gain significance in personal as well as in fat tails, then less than 95% of data fit in the Bollinger business section increasingly; even though these firms are trading channels. However the Bollinger bands trading considerably young (the first one in Lithuania was signals were supported by additional indicators (e.g. %b), established in year 2000). so the loss of data is not significant. Successful investment begins with the financial Our calibration results show that short term investor analysis of stock, asset or index, which you are going to should apply 10 days moving average and use a trading invest. -
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. -
Modeling and Analyzing Stock Trends
Modeling and Analyzing Stock Trends A Major Qualifying Project Submitted to the Faculty of Worcester Polytechnic Institute in partial fulllment of the requirements for the Degree in Bachelor of Science Mathematical Sciences By Laura Cintron Garcia Date: 5/6/2021 Advisor: Dr. Mayer Humi This report represents work of WPI undergraduate students submitted to the faculty as evidence of a degree requirement. WPI routinely publishes these reports on its web site without editorial or peer review. For more information about the projects program at WPI, see http://www.wpi.edu/Academics/Projects 1 Abstract Abstract The goal of this project is to create and compare several dierent stock prediction models and nd a correlation between the predic- tions and volatility for each stock. The models were created using the historical data, DJI index, and moving averages. The most accurate prediction model had an average of 5.3 days spent within a predic- tion band. A correlation of -0.0438 was found between that model an a measure of volatility, indicating that more prediction days means lower volatility. 2 2 Acknowledgments Without the help of some people, it would have been signicantly more di- cult to complete this project without a group. I want to extend my gratitude to Worcester Polytechnic Institute and the WPI Math Department for their great eorts and success this year regarding school and projects during the pandemic. They did everything they could to ensure these projects was still a rich experience for the students despite everything. I would also like to thank my MQP advisor, Professor Mayer Humi for his assistance and guidance on this project, for allowing me to work indepen- dently while always being willing to meet with me or answer any questions, and for continuously encouraging me to do what I thought was best for the project. -
Lesson 12 Technical Analysis
Lesson 12 Technical Analysis Instructor: Rick Phillips 702-575-6666 [email protected] Course Description and Learning Objectives Course Description Learn what technical analysis entails and the various ways to analyze the markets using this type of analysis Lessons and Learning Objectives ▪ Define technical analysis ▪ Explore the history of technical analysis ▪ Examine the accuracy of technical analysis ▪ Compare technical analysis to fundamental analysis ▪ Outline different types of technical studies ▪ Study tools and systems which provide technical analysis 2 What is Technical Analysis Short Description: Using the past to predict the future Long Description: A way to analyze securities price patterns, movements, and trends to extrapolate the ranges of potential future prices 3 History of Technical Analysis The principles of technical analysis are derived from hundreds of years of financial market data. Some aspects of technical analysis began to appear in Amsterdam-based merchant Joseph de la Vega's accounts of the Dutch financial markets in the 17th century. In Asia, technical analysis is said to be a method developed by Homma Munehisa during the early 18th century which evolved into the use of candlestick techniques, and is today a technical analysis charting tool. In the 1920s and 1930s, Richard W. Schabacker published several books which continued the work of Charles Dow and William Peter Hamilton in their books Stock Market Theory and Practice and Technical Market Analysis. In 1948, Robert D. Edwards and John Magee published Technical Analysis of Stock Trends which is widely considered to be one of the seminal works of the discipline. It is exclusively concerned with trend analysis and chart patterns and remains in use to the present. -
Earth & Sky Trading System
Earth & Sky Trading System By Pierre Du Plessis 1 Copyright © Forex Mentor Pro 2011. All rights reserved. Any redistribution or reproduction of part or all of the contents in any form is prohibited other than the following: You may print or download to a local hard disk copies for your personal and non- commercial use only; You may not, except with our express written permission, distribute or commercially exploit the content. Nor may you transmit it or store it in any other website or other form of electronic retrieval system. Risk Disclosure Statement The contents of this e-Book are for informational purposes only. No part of this publication is a solicitation or an offer to buy or sell any financial market. Examples are provided for illustration purposes only and should not be construed as investment advice or strategy. All trade examples are hypothetical. No representation is made that any account or trader will or is likely to achieve profits or loses similar to those discussed in this e-Book. By purchasing this e-Book, and/or subscribing to our mailing list you will be deemed to have accepted these and all other terms found on our web page ForexMentorPro.com in full. The information found in this e-Book is not intended for distribution to, or use by any person or entity in any jurisdiction or country where such distribution or use would be contrary to the law or regulation or which would subject us to any registration requirement within such jurisdiction or country. CFTC RULE 4.41 HYPOTHETICAL OR SIMULATED PERFORMANCE RESULTS HAVE CERTAIN LIMITATIONS. -
© 2012, Bigtrends
1 © 2012, BigTrends Congratulations! You are now enhancing your quest to become a successful trader. The tools and tips you will find in this technical analysis primer will be useful to the novice and the pro alike. While there is a wealth of information about trading available, BigTrends.com has put together this concise, yet powerful, compilation of the most meaningful analytical tools. You’ll learn to create and interpret the same data that we use every day to make trading recommendations! This course is designed to be read in sequence, as each section builds upon knowledge you gained in the previous section. It’s also compact, with plenty of real life examples rather than a lot of theory. While some of these tools will be more useful than others, your goal is to find the ones that work best for you. Foreword Technical analysis. Those words have come to have much more meaning during the bear market of the early 2000’s. As investors have come to realize that strong fundamental data does not always equate to a strong stock performance, the role of alternative methods of investment selection has grown. Technical analysis is one of those methods. Once only a curiosity to most, technical analysis is now becoming the preferred method for many. But technical analysis tools are like fireworks – dangerous if used improperly. That’s why this book is such a valuable tool to those who read it and properly grasp the concepts. The following pages are an introduction to many of our favorite analytical tools, and we hope that you will learn the ‘why’ as well as the ‘what’ behind each of the indicators. -
Harmonic Conditions How to Define Price and Time Cycles
Interview: Tim Hayes – A Class of its Own Your Personal Trading Coach Issue 03, April 2010 | www.traders-mag.com | www.tradersonline-mag.com Harmonic Conditions How to Define Price and Time Cycles Great Profi ts through When to Trade The Right Use of Failed Chart Patterns & When to Fade Cyclical Analysis We Show You How to Recognise Them Gaining an Edge in Forex Trading Timing Is Everything for Lasting Success TRADERS´EDITORIAL Harmonising Price with Time Harmonising price with time is one of the issues serious traders grapple with at one point in their careers. And how could this possibly be otherwise? After all, if you wish to predict the future you have to consider the past. And if you look back on the history of trading, you will automatically end up coming across some of the heroes who have written this history. Jesse Livermore is one of them, so is Ralph Nelson Elliott and, last but not least, William D. Gann. Among all the greats of the trade he certainly stands out as the enigma. Square of Nine, Gann Lines and Gann Angles, the law of vibration of the sphere of activity, i.e. the rate of internal vibration all of which you will come The harmony of price and time results in incredible forecasts across once you begin to study the trading hero. Gann’s forecasts are credited with 90% success rates and his trading results are said to have amounted to 50 million dollars. Considering that he lived from1878 to 1955, it is easy to imagine what an incredible fortune this would be today. -
Technical-Analysis-Bloomberg.Pdf
TECHNICAL ANALYSIS Handbook 2003 Bloomberg L.P. All rights reserved. 1 There are two principles of analysis used to forecast price movements in the financial markets -- fundamental analysis and technical analysis. Fundamental analysis, depending on the market being analyzed, can deal with economic factors that focus mainly on supply and demand (commodities) or valuing a company based upon its financial strength (equities). Fundamental analysis helps to determine what to buy or sell. Technical analysis is solely the study of market, or price action through the use of graphs and charts. Technical analysis helps to determine when to buy and sell. Technical analysis has been used for thousands of years and can be applied to any market, an advantage over fundamental analysis. Most advocates of technical analysis, also called technicians, believe it is very likely for an investor to overlook some piece of fundamental information that could substantially affect the market. This fact, the technician believes, discourages the sole use of fundamental analysis. Technicians believe that the study of market action will tell all; that each and every fundamental aspect will be revealed through market action. Market action includes three principal sources of information available to the technician -- price, volume, and open interest. Technical analysis is based upon three main premises; 1) Market action discounts everything; 2) Prices move in trends; and 3) History repeats itself. This manual was designed to help introduce the technical indicators that are available on The Bloomberg Professional Service. Each technical indicator is presented using the suggested settings developed by the creator, but can be altered to reflect the users’ preference. -
A Linear Process Approach to Short-Term Trading Using the VIX Index As a Sentiment Indicator
Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: 29 July 2021 Article A Linear Process Approach to Short-term Trading Using the VIX Index as a Sentiment Indicator Yawo Mamoua Kobara 1,‡ , Cemre Pehlivanoglu 2,‡* and Okechukwu Joshua Okigbo 3,‡ 1 Western University; [email protected] 2 Cidel Financial Services; [email protected] 3 WorldQuant University; [email protected] * Correspondence: [email protected] ‡ These authors contributed equally to this work. 1 Abstract: One of the key challenges of stock trading is the stock prices follow a random walk 2 process, which is a special case of a stochastic process, and are highly sensitive to new information. 3 A random walk process is difficult to predict in the short-term. Many linear process models that 4 are being used to predict financial time series are structural models that provide an important 5 decision boundary, albeit not adequately considering the correlation or causal effect of market 6 sentiment on stock prices. This research seeks to increase the predictive capability of linear process 7 models using the SPDR S&P 500 ETF (SPY) and the CBOE Volatility (VIX) Index as a proxy for 8 market sentiment. Three econometric models are considered to forecast SPY prices: (i) Auto 9 Regressive Integrated Moving Average (ARIMA), (ii) Generalized Auto Regressive Conditional 10 Heteroskedasticity (GARCH), and (iii) Vector Autoregression (VAR). These models are integrated 11 into two technical indicators, Bollinger Bands and Moving Average Convergence Divergence 12 (MACD), focusing on forecast performance. The profitability of various algorithmic trading 13 strategies are compared based on a combination of these two indicators. -
The Titans of Technical Analysis by David Penn REAL WORLD
Stocks & Commodities V. 20:10 (32-38): The Titans Of Technical Analysis by David Penn REAL WORLD A Celebration Of Technical Analysts From Dow To Zweig The Titans Of Technical Analysis A not-so-random walk through the history of charting the observations, and commentary on the subjects of trading markets. and technical analysis. From our earliest issues featuring reviews titled “An Easy Course In Using The HP-12C And by David Penn Other Financial Calculators” to the present issue, which includes pages of Traders’ Tips in sophisticated computer any years ago, a poet friend who was editing language, no other publication has had its finger on the pulse a collection of contemporary verse noted to of both applied and theoretical technical analysis for as long me that “about half the working poets in as STOCKS & COMMODITIES. And this has been no mere M America are going to be really upset about minding the store. this anthology. Of course, the other half of them are in the S&C publisher Jack Hutson introduced the TRIX, or triple book. …” exponential smoothing oscillator, in 1983. The Richard Such sentiments came to mind when I embarked upon the Wyckoff method was reintroduced to the world via these task of highlighting the few among the many whose contri- pages in 1986. John Bollinger, Jack Schwager, and Vic butions to the field of technical analysis have made them Sperandeo were all among S&C’s interviews in 1993. In the what STOCKS & COMMODITIES has designated the “Titans nine-odd years since then, as a bull market in equities resumed, Of Technical Analysis.” S&C was on hand to provide technical tools for minimizing How subjective is such a list? In some ways, all too risk and maximizing gain — whether through new indicators subjective — particularly with those whose contributions (such as John Ehlers’ MESA adaptive moving averages), new are more recent or are less widely enjoyed.