Forecasting of Security Prices Using Relative Strength Index Method Dr
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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. -
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. -
2021 Mid-Year Outlook July 2021 Economic Recovery, Updated Vaccine, and Portfolio Considerations
2021 Mid-Year Outlook July 2021 Economic recovery, updated vaccine, and portfolio considerations. Key Observations • Financial market returns year-to-date coincide closely with the premise of an expanding global economic recovery. Economic momentum and a robust earnings backdrop have fostered uniformly positive global equity returns while this same strength has been the impetus for elevated interest rates, hampering fixed income returns. • Our baseline expectation anticipates that the continuation of the economic revival is well underway but its relative strength may be shifting overseas, particularly to the Eurozone, where amplifying vaccination efforts and the prospects for additional stimulus reign. • Our case for thoughtful risk-taking remains intact. While the historically sharp and compressed pace of the recovery has spawned exceptionally strong returns across many segments of the capital markets and elevated valuations, the economic expansion should continue apace, fueled by still highly accommodative stimulus, reopening impetus and broader vaccination. Financial Market Conditions Economic Growth Forecasts for global economic growth in 2021 and 2022 remain robust with the World Bank projecting a 5.6 percent growth rate for 2021 and a 4.3 percent rate in 2022. If achieved, this recovery pace would be the most rapid recovery from crisis in some 80 years and provides a full reckoning of the extraordinary levels of stimulus applied to the recovery and of the herculean efforts to develop and distribute vaccines. GDP Growth Rates Source: FactSet Advisory services offered through Veracity Capital, LLC, a registered investment advisor. 1 While the case for further global economic growth remains compelling, we are mindful that near-term base effect comparisons and a bifurcated pattern of growth may be masking some complexities of the recovery. -
Relative Strength Index for Developing Effective Trading Strategies in Constructing Optimal Portfolio
International Journal of Applied Engineering Research ISSN 0973-4562 Volume 12, Number 19 (2017) pp. 8926-8936 © Research India Publications. http://www.ripublication.com Relative Strength Index for Developing Effective Trading Strategies in Constructing Optimal Portfolio Dr. Bhargavi. R Associate Professor, School of Computer Science and Software Engineering, VIT University, Chennai, Vandaloor Kelambakkam Road, Chennai, Tamilnadu, India. Orcid Id: 0000-0001-8319-6851 Dr. Srinivas Gumparthi Professor, SSN School of Management, Old Mahabalipuram Road, Kalavakkam, Chennai, Tamilnadu, India. Orcid Id: 0000-0003-0428-2765 Anith.R Student, SSN School of Management, Old Mahabalipuram Road, Kalavakkam, Chennai, Tamilnadu, India. Abstract Keywords: RSI, Trading, Strategies innovation policy, innovative capacity, innovation strategy, competitive Today’s investors’ dilemma is choosing the right stock for advantage, road transport enterprise, benchmarking. investment at right time. There are many technical analysis tools which help choose investors pick the right stock, of which RSI is one of the tools in understand whether stocks are INTRODUCTION overpriced or under priced. Despite its popularity and powerfulness, RSI has been very rarely used by Indian Relative Strength Index investors. One of the important reasons for it is lack of Investment in stock market is common scenario for making knowledge regarding how to use it. So, it is essential to show, capital gains. One of the major concerns of today’s investors how RSI can be used effectively to select shares and hence is regarding choosing the right securities for investment, construct portfolio. Also, it is essential to check the because selection of inappropriate securities may lead to effectiveness and validity of RSI in the context of Indian stock losses being suffered by the investor. -
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. -
W E B R E V Ie W
TRADERS´ TOOLS 37 Professional Screening, Advanced Charting, and Precise Sector Analysis www.chartmill.com The website www.chartmill.com is a technical analysis (TA) website created by traders for traders. Its main features are charting applications, a stock screener and a sector analysis tool. Chartmill supports most of the classical technical analysis indicators along with some state-of-the-art indicators and concepts like Pocket Pivots, Effective Volume, Relative Strength and Anchored Volume Weighted Average Prices (VWAPs, MIDAS curves). First, we will discuss some of these concepts. After that, we will have a look at the screener and charting applications. Relative Strength different manner. This form of Strong Stocks flatten out again. “Strong stocks” Relative Strength is available in Relative Strength was used in The screener supports the filters the nicest steady trends WEBREVIEW different forms at chartmill.com. “Point and Figure Charting” by concept of “strong stocks”, in the market and does a terrific Two Relative Strength related Thomas Dorsey. which are stocks with a high job in mimicking IBD (Investor‘s indicators are available in the Relative Strength. But there is Business Daily) stock lists. charts and screener: Besides these two indicators, more. Not all stocks with a high there is also the Relative Strength Relative Strength ranking are also Effective Volume • Mansfield Relative Strength: Ranking Number. Here, each strong stocks. Relative Strength Effective Volume is an indicator This compares the stock gets assigned a number looks at the performance over that was introduced in the book performance of the stock to between zero and 100, indicating the past year. -
Point and Figure Relative Strength Signals
February 2016 Point and Figure Relative Strength Signals JOHN LEWIS / CMT, Dorsey, Wright & Associates Relative Strength, also known as momentum, has been proven to be one of the premier investment factors in use today. Numerous studies by both academics and investment ABOUT US professionals have demonstrated that winning securities continue to outperform. This phenomenon has been found Dorsey, Wright & Associates, a Nasdaq Company, is a in equity markets all over the globe as well as commodity registered investment advisory firm based in Richmond, markets and in asset allocation strategies. Momentum works Virginia. Since 1987, Dorsey Wright has been a leading well within and across markets. advisor to financial professionals on Wall Street and investment managers worldwide. Relative Strength strategies focus on purchasing securities that have already demonstrated the ability to outperform Dorsey Wright offers comprehensive investment research a broad market benchmark or the other securities in the and analysis through their Global Technical Research Platform investment universe. As a result, a momentum strategy and provides research, modeling and indexes that apply requires investors to purchase securities that have already Dorsey Wright’s expertise in Relative Strength to various appreciated quite a bit in price. financial products including exchange-traded funds, mutual funds, UITs, structured products, and separately managed There are many different ways to calculate and quantify accounts. Dorsey Wright’s expertise is technical analysis. The momentum. This is similar to a value strategy. There are Company uses Point and Figure Charting, Relative Strength many different metrics that can be used to determine a Analysis, and numerous other tools to analyze market data security’s value. -
Price Momentum Model Creat- Points at Institutionally Relevant John Brush Ed by Columbine Capital Services, Holding Periods
C OLUMBINE N EWSLETTER A PORTFOLIO M ANAGER’ S R ESOURCE SPECIAL EDITION—AUGUST 2001 From etary price momentum model creat- points at institutionally relevant John Brush ed by Columbine Capital Services, holding periods. Columbine Alpha's Inc. The Columbine Alpha price dominance comes from its exploita- Price Momentum momentum model has been in wide tion of some of the many complex- a Twenty Year use by institutions for more than ities of price momentum. Recent Research Effort twenty years, both as an overlay non-linear improvements to with fundamental measures, and as Columbine Alpha incorporating Summary and Overview a standalone idea-generating screen. adjustments for extreme absolute The evidence presented here sug- price changes and considerations of Even the most casual market watch - gests that price momentum is not a trading volume appear likely to add ers have observed anecdotal evi- generic ingredient. another 100 basis points to the dence of trend following in stock model's 1st decile active return. prices. Borrowing from the world of The Columbine Alpha approach physics, early analysts characterized is almost twice as powerful as the You will see in this paper that this behavior as stock price momen- best simple alternative and war- constructing a price momentum tum. Over the years, researchers and rants attention by any investment model involves compromises or practitioners have developed manager who cares about active tradeoffs driven by the fact that increasingly more sophisticated return. different past measurement peri- mathematical descriptions (models) ods produce different future of equity price momentum effects. Even simple price momentum return patterns. -
Data Visualization and Analysis
HTML5 Financial Charts Data visualization and analysis Xinfinit’s advanced HTML5 charting tool is also available separately from the managed data container and can be licensed for use with other tools and used in conjunction with any editor. It includes a comprehensive library of over sixty technical indictors, additional ones can easily be developed and added on request. 2 Features Analysis Tools Trading from Chart Trend Channel Drawing Instrument Selection Circle Drawing Chart Duration Rectangle Drawing Chart Intervals Fibonacci Patterns Chart Styles (Line, OHLC etc.) Andrew’s Pitchfork Comparison Regression Line and Channel Percentage (Y-axis) Up and Down arrows Log (Y-axis) Text box Show Volume Save Template Show Data values Load Template Show Last Value Save Show Cross Hair Load Show Cross Hair with Last Show Min / Max Show / Hide History panel Show Previous Close Technical Indicators Show News Flags Zooming Data Streaming Full Screen Print Select Tool Horizontal Divider Trend tool Volume by Price Horizonal Line Drawing Book Volumes 3 Features Technical Indicators Acceleration/Deceleration Oscillator Elliot Wave Oscillator Accumulation Distribution Line Envelopes Aroon Oscilltor Fast Stochastic Oscillator Aroon Up/Down Full Stochastic Oscillator Average Directional Index GMMA Average True Range GMMA Oscillator Awesome Oscillator Highest High Bearish Engulfing Historical Volatility Bollinger Band Width Ichimoku Kinko Hyo Bollinger Bands Keltner Indicator Bullish Engulfing Know Sure Thing Chaikin Money Flow Lowest Low Chaikin Oscillator -
Technical Analysis: Technical Indicators
Chapter 2.3 Technical Analysis: Technical Indicators 0 TECHNICAL ANALYSIS: TECHNICAL INDICATORS Charts always have a story to tell. However, from time to time those charts may be speaking a language you do not understand and you may need some help from an interpreter. Technical indicators are the interpreters of the Forex market. They look at price information and translate it into simple, easy-to-read signals that can help you determine when to buy and when to sell a currency pair. Technical indicators are based on mathematical equations that produce a value that is then plotted on your chart. For example, a moving average calculates the average price of a currency pair in the past and plots a point on your chart. As your currency chart moves forward, the moving average plots new points based on the updated price information it has. Ultimately, the moving average gives you a smooth indication of which direction the currency pair is moving. 1 2 Each technical indicator provides unique information. You will find you will naturally gravitate toward specific technical indicators based on your TRENDING INDICATORS trading personality, but it is important to become familiar with all of the Trending indicators, as their name suggests, identify and follow the trend technical indicators at your disposal. of a currency pair. Forex traders make most of their money when currency pairs are trending. It is therefore crucial for you to be able to determine You should also be aware of the one weakness associated with technical when a currency pair is trending and when it is consolidating. -
Trading in the Australian Stockmarket Using Artificial Neural Networks
Bond University DOCTORAL THESIS Trading in the Australian Stockmarket Using Artificial Neural Networks Vanstone, Bruce J Award date: 2005 Link to publication General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal. School of Information Technology Bond University Trading in the Australian Stockmarket using Artificial Neural Networks by Bruce James Vanstone Submitted to Bond University in fulfillment of the requirements for the degree Doctor of Philosophy November 2005 Abstract This thesis focuses on training and testing neural networks for use within stockmarket trading systems. It creates and follows a well defined methodology for developing and benchmarking trading systems which contain neural networks. Four neural networks and consequently four trading systems are presented within this thesis. The neural networks are trained using all fundamental or all technical variables, and are trained on different segments of the Australian stockmarket, namely all ordinary shares, and the S&P/ASX200 constituents. Three of the four trading systems containing neural networks significantly outperform the respective buy-and-hold returns for their segments of the market, demonstrating that neural networks are suitable for inclusion in stockmarket trading systems.