Technical Analysis Accuracy at Macedonian Stock Exchange
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Free Stock Screener Page 1
Free Stock Screener www.dojispace.com Page 1 Disclaimer The information provided is not to be considered as a recommendation to buy certain stocks and is provided solely as an information resource to help traders make their own decisions. Past performance is no guarantee of future success. It is important to note that no system or methodology has ever been developed that can guarantee profits or ensure freedom from losses. No representation or implication is being made that using The Shocking Indicator will provide information that guarantees profits or ensures freedom from losses. Copyright © 2005-2012. All rights reserved. No part of this book may be reproduced or transmitted in any form or by any means, electronic or mechanical, without written prior permission from the author. Free Stock Screener www.dojispace.com Page 2 Bullish Engulfing Pattern is one of the strongest patterns that generates a buying signal in candlestick charting and is one of my favorites. The following figure shows how the Bullish Engulfing Pattern looks like. The following conditions must be met for a pattern to be a bullish engulfing. 1. The stock is in a downtrend (short term or long term) 2. The first candle is a red candle (down day) and the second candle must be white (up day) 3. The body of the second candle must completely engulfs the first candle. The following conditions strengthen the buy signal 1. The trading volume is higher than usual on the engulfing day 2. The engulfing candle engulfs multiple previous down days. 3. The stock gap up or trading higher the next day after the bullish engulfing pattern is formed. -
Predicting SARS-Cov-2 Infection Trend Using Technical Analysis Indicators
medRxiv preprint doi: https://doi.org/10.1101/2020.05.13.20100784; this version posted May 20, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission. Predicting SARS-CoV-2 infection trend using technical analysis indicators Marino Paroli and Maria Isabella Sirinian Department of Clinical, Anesthesiologic and Cardiovascular Sciences, Sapienza University of Rome, Italy ABSTRACT COVID-19 pandemic is a global emergency caused by SARS-CoV-2 infection. Without efficacious drugs or vaccines, mass quarantine has been the main strategy adopted by governments to contain the virus spread. This has led to a significant reduction in the number of infected people and deaths and to a diminished pressure over the health care system. However, an economic depression is following due to the forced absence of worker from their job and to the closure of many productive activities. For these reasons, governments are lessening progressively the mass quarantine measures to avoid an economic catastrophe. Nevertheless, the reopening of firms and commercial activities might lead to a resurgence of infection. In the worst-case scenario, this might impose the return to strict lockdown measures. Epidemiological models are therefore necessary to forecast possible new infection outbreaks and to inform government to promptly adopt new containment measures. In this context, we tested here if technical analysis methods commonly used in the financial market might provide early signal of change in the direction of SARS-Cov-2 infection trend in Italy, a country which has been strongly hit by the pandemic. -
Trend Following Algorithms in Automated Derivatives Market Trading ⇑ Simon Fong , Yain-Whar Si, Jackie Tai
Expert Systems with Applications 39 (2012) 11378–11390 Contents lists available at SciVerse ScienceDirect Expert Systems with Applications journal homepage: www.elsevier.com/locate/eswa Trend following algorithms in automated derivatives market trading ⇑ Simon Fong , Yain-Whar Si, Jackie Tai Department of Computer and Information Science, University of Macau, Macau article info abstract Keywords: Trend following (TF) is trading philosophy by which buying/selling decisions are made solely according to Trend following the observed market trend. For many years, many manifestations of TF such as a software program called Automated trading system Turtle Trader, for example, emerged in the industry. Surprisingly little has been studied in academic Futures contracts research about its algorithms and applications. Unlike financial forecasting, TF does not predict any mar- Mechanical trading ket movement; instead it identifies a trend at early time of the day, and trades automatically afterwards by a pre-defined strategy regardless of the moving market directions during run time. Trend following trading has been popular among speculators. However it remains as a trading method where human judgment is applied in setting the rules (aka the strategy) manually. Subsequently the TF strategy is exe- cuted in pure objective operational manner. Finding the correct strategy at the beginning is crucial in TF. This usually involves human intervention in first identifying a trend, and configuring when to place an order and close it out, when certain conditions are met. In this paper, we evaluated and compared a col- lection of TF algorithms that can be programmed in a computer system for automated trading. In partic- ular, a new version of TF called trend recalling model is presented. -
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. -
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. -
TACTICAL INDICATOR -CUP and HANDLE PATTERN by Daryl Guppy in Recent Weeks We Have Seen Many New Readers Come on Board and They H
TACTICAL INDICATOR -CUP AND HANDLE PATTERN By Daryl Guppy In recent weeks we have seen many new readers come on board and they have generated a demand for background notes on the indicators we mention in the newsletter and the essential tools of technical analysis. These summaries are designed to explain how various indicators are applied to trading opportunities. The notes include tactics and rules for using and applying or constructing each indicator. The notes finish with a summary of the advantages and disadvantages of each indicator. These notes describe the way we use these indicators in our trading and are designed as a short reference guide. INDICATOR – CUP AND HANDLE PATTERN This is a short term pattern that develops over 2 to 4 weeks. It may be a downtrend breakout, or occur within an existing uptrend. The cup is usually symmetrical but it may be asymmetrical. Symmetrical saucer curves are defined using a single curve tool. Use the GTE saucer tool. Asymmetrical saucers are defined using a combination of parabolic curve segments. Use the GTE parabolic tool. APPLICATION The cup offers similar trading opportunities to that of the saucer pattern. The projection targets are based on a breakout from the lip of the cup. Generally the cup pattern is sharper and deeper than the saucer. The combination cup and handle pattern is a stronger pattern. This applies to the pattern of price behaviour following a failed breakout at the end of a cup pattern. Prices move to the right of the cup line, and then decline. This pullback may also appear within a few days after a successful breakout above the lip of the cup. -
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. -
Stock Market Explained
Stock Market Explained A Beginner's Guide to Investing and Trading in the Modern Stock Market © Ardi Aaziznia www.PeakCapitalTrading.com Copyrighted Material © Peak Capital Trading CHAPTER 1 Copyrighted Material © Peak Capital Trading Figure 1.1: “covid-19” and “stock market” keyword Google search trends between April 2019 and April 2020. As you can see, there is a clear correlation. As the stock market drop hit the news cycles, people started searching more and more about the stock market in Google! Copyrighted Material © Peak Capital Trading COVID-19 Bear Market 2019 Bull Market 2020 recession due to pandemic v Figure 1.2: Comparison between the bull market of 2019 and the bear market of 2020, as shown by the change in share value of 500 of the largest American companies. These companies are tracked by the S&P 500 and are traded in an exchange-traded fund known as the SPDR S&P 500 ETF Trust (ticker: SPY). For your information, S&P refers to Standard & Poor’s, one of the indices which used to track this information. Copyrighted Material © Peak Capital Trading Figure 1.3: How this book is organized. Chapters 1-4 and 7-11 are written by me. Chapters 5 and 6 on day trading are written by Andrew Aziz. Copyrighted Material © Peak Capital Trading CHAPTER 2 Copyrighted Material © Peak Capital Trading Figure 2.1: The return on investing $100 in an exchange-traded fund known as the SPDR S&P 500 ETF Trust (ticker: SPY) (which tracks the share value of 500 of the largest American companies (as rated by the S&P 500)) vs. -
Pattern Recognition User Guide.Book
Chart Pattern Recognition Module User Guide CPRM User Guide April 2011 Edition PF-09-01-05 Support Worldwide Technical Support and Product Information www.nirvanasystems.com Nirvana Systems Corporate Headquarters 7000 N. MoPac, Suite 425, Austin, Texas 78731 USA Tel: 512 345 2545 Fax: 512 345 4225 Sales Information For product information or to place an order, please contact 800 880 0338 or 512 345 2566. You may also fax 512 345 4225 or send email to [email protected]. Technical Support Information For assistance in installing or using Nirvana products, please contact 512 345 2592. You may also fax 512 345 4225 or send email to [email protected]. To comment on the documentation, send email to [email protected]. © 2011 Nirvana Systems Inc. All rights reserved. Important Information Copyright Under the copyright laws, this publication may not be reproduced or transmitted in any form, electronic or mechanical, including photocopying, recording, storing in an information retrieval system, or translating, in whole or in part, without the prior written consent of Nirvana Systems, Inc. Trademarks OmniTrader™, VisualTrader™, Adaptive Reasoning Model™, ARM™, ARM Knowledge Base™, Easy Data™, The Trading Game™, Focus List™, The Power to Trade with Confidence™, The Path to Trading Success™, The Trader’s Advantage™, Pattern Tutor ™, and Chart Pattern Recognition Module™ are trademarks of Nirvana Systems, Inc. Product and company names mentioned herein are trademarks or trade names of their respective companies. DISCLAIMER REGARDING USE OF NIRVANA SYSTEMS PRODUCTS Trading stocks, mutual funds, futures, and options involves high risk including possible loss of principal and other losses. Neither the software nor any demonstration of its operation should be construed as a recommendation or an offer to buy or sell securities or security derivative products of any kind. -
Charles Dow Desarrolla Lo Que Hoy Se Conoce Como El Dow Jones Industrial Average®
Hitos 1896 • Charles Dow desarrolla lo que hoy se conoce como el Dow Jones Industrial Average®. 1923 • Standard Statistics Company, antecesora de Standard & Poor’s, desarrolla su primer indicador del mercado accionario con cobertura a 233 empresas. 1926 • Standard Statistics Company lanza al mercado un índice compuesto de precios que incluía 90 acciones. 1941 • Standard Statistics se fusiona con Poor’s Publishing para formar Standard & Poor's. • El indicador del mercado accionario creado en 1923 aumenta su número de compañías de 233 a 416. 1946 • El Dow Jones Industrial Average cumple 50 años. 1957 • Standard & Poor’s publica por primera vez el S&P 500® como un índice de 500 acciones. 1972 • El S&P 500 se convierte en el primer índice bursátil con publicación diaria. 1975 • ExxonMobil se convierte en el primer fondo de pensiones vinculado al S&P 500 y la industria comienza a expandirse. • La calidad institucional llega al mercado general. Vanguard lanza el primer fondo mutuo de índices de consumo, el Vanguard 500, y utiliza el S&P 500 como benchmark. 1982 • CME Group comienza a operar los primeros índices de futuros ―S&P 500 index futures― en la Bolsa de Valores de Chicago (Chicago Mercantile Exchange). 1983 • El Mercado de Opciones de la Bolsa de Chicago (CBOE®) comienza a operar el primer índice de opciones. Estas opciones se basaban en el S&P 500 y el S&P 100. S&P Dow Jones Indices – Hitos 2016 1991 • Standard & Poor’s lanza al mercado el S&P MidCap 400®, el primer índice destacado de títulos de capitalización media en Estados Unidos. -
Results of the S&P Paris-Aligned & Climate Transition (PACT) Indices
INDEX ANNOUNCEMENT Results of the S&P Paris-Aligned & Climate Transition (PACT) Indices Consultation on Eligibility Requirements and Constraints AMSTERDAM, MAY 18, 2021: S&P Dow Jones Indices (“S&P DJI”) has conducted a consultation with market participants on potential changes to the S&P Paris-Aligned & Climate Transition (PACTTM) Indices. S&P DJI will make changes to the eligibility requirements and optimization constraints used in these indices. The changes are designed to ensure the indices continue to meet their objective, reflect evolving expectations for environmental, social and governance (ESG) business exclusions, while including additional stability to the turnover and stock counts following fluctuations caused by the existing rules. The table below summarizes the changes, and which indices they will impact. Index Family1 Methodology Change CT PA Current Updated Environmental X X CT: Weighted-average S&P DJI CT: Weighted-average S&P DJI ESG Score Score Environmental Score (waE) of the CT Index (waESG) of the CT Index should be ≥ the Constraint to should be ≥ the waE of the eligible universe. eligible waESG of the eligible universe. ESG Score Constraint PA: Weighted-average S&P DJI PA: Weighted-average S&P DJI ESG Score Environmental Score (waE) of the PA Index (waESG) of the PA Index should be ≥ the should be ≥ the waE of the eligible universe waESG of the universe after 20% of the + (20% × (max E score in eligible universe – worst ESG score performing companies by eligible universe’s waE)). count are removed and weight redistributed. Introduce X X No buffer, minimum stock weight lower Minimum stock weight threshold ≥1 buffer rule and threshold of 0.01%, maximum weight of 5%. -
Stock Market Efficiency Withstands Another Challenge: Solving the “Sell in May/Buy After Halloween” Puzzle
Econ Journal Watch, Volume 1, Number 1, April 2004, pp 29-46. Stock Market Efficiency Withstands another Challenge: Solving the “Sell in May/Buy after Halloween” Puzzle EDWIN D. MABERLY* AND RAYLENE M. PIERCE** A COMMENT ON: BOUMAN, SVEN AND BEN JACOBSEN. 2002. THE HALLOWEEN INDICATOR, ‘SELL IN MAY AND GO AWAY’: ANOTHER PUZZLE. AMERICAN ECONOMIC REVIEW 92(5): 1618-1635. ABSTRACT, KEYWORDS, JEL CODES OVER THE PAST TWENTY YEARS FINANCIAL ECONOMISTS HAVE documented numerous stock return patterns related to calendar time. The list includes patterns related to the month-of-the-year (January effect), day- of-the-week (Monday effect), day-of-the-month (turn-of-the-month effect), and market closures due to exchange holidays (the holiday effect) to name just a few.1 This research is cited as evidence of market inefficiencies (see, * University of Canterbury. Chiristchurch, New Zealand. ** Lincoln University. Canterbury, New Zealand. This paper benefited from editorial comments by Professor Tom Saving of Texas A&M University and encouraging comments by Professor Burton Malkiel of Princeton University. Additionally, constructive comments were provided by an anonymous referee. 1 The January effect is frequently misinterpreted as implying that stock returns, irrespective of market size, are unusually large in January. From Fama (1991, 1586-1587), the January effect refers to the phenomenon that “stock returns, especially returns on small stocks, are on average higher in January than in other months. Moreover, much of the higher January return on small stocks comes on the last trading day in December and the first 5 trading days in January.” 29 EDWIN D.