TSAA-SF Practice Exam
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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. -
A Statistical Analysis of the Predictive Power of Japanese Candlesticks Mohamed Jamaloodeen Georgia Gwinnett College, [email protected]
Journal of International & Interdisciplinary Business Research Volume 5 Article 5 June 2018 A Statistical Analysis of the Predictive Power of Japanese Candlesticks Mohamed Jamaloodeen Georgia Gwinnett College, [email protected] Adrian Heinz Georgia Gwinnett College, [email protected] Lissa Pollacia Georgia Gwinnett College, [email protected] Follow this and additional works at: https://scholars.fhsu.edu/jiibr Part of the Finance and Financial Management Commons Recommended Citation Jamaloodeen, Mohamed; Heinz, Adrian; and Pollacia, Lissa (2018) "A Statistical Analysis of the Predictive Power of Japanese Candlesticks," Journal of International & Interdisciplinary Business Research: Vol. 5 , Article 5. Available at: https://scholars.fhsu.edu/jiibr/vol5/iss1/5 This Article is brought to you for free and open access by FHSU Scholars Repository. It has been accepted for inclusion in Journal of International & Interdisciplinary Business Research by an authorized editor of FHSU Scholars Repository. Jamaloodeen et al.: Analysis of Predictive Power of Japanese Candlesticks A STATISTICAL ANALYSIS OF THE PREDICTIVE POWER OF JAPANESE CANDLESTICKS Mohamed Jamaloodeen, Georgia Gwinnett College Adrian Heinz, Georgia Gwinnett College Lissa Pollacia, Georgia Gwinnett College Japanese Candlesticks is a technique for plotting past price action of a specific underlying such as a stock, index or commodity using open, high, low and close prices. These candlesticks create patterns believed to forecast future price movement. Although the candles’ popularity has increased rapidly over the last decade, there is still little statistical evidence about their effectiveness over a large number of occurrences. In this work, we analyze the predictive power of the Shooting Star and Hammer patterns using over six decades of historical data of the S&P 500 index. -
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. -
Stock Chart Pattern Recognition with Deep Learning
Stock Chart Pattern recognition with Deep Learning Marc Velay and Fabrice Daniel Artificial Intelligence Department of Lusis, Paris, France [email protected] http://www.lusis.fr June 2018 ABSTRACT the number of patterns recognized implies having a human examining candlestick charts in order to deduce signal char- This study evaluates the performances of CNN and LSTM acteristics before implementing the detection using condi- for recognizing common charts patterns in a stock historical tions specific to that pattern. Adding different parameters data. It presents two common patterns, the method used to to modulate ratios allows us to tweak the patterns’ charac- build the training set, the neural networks architectures and teristics. This technique does not have any generalization the accuracies obtained. potential. If the pattern is slightly outside of the defined Keywords: Deep Learning, CNN, LSTM, Pattern recogni- bounds, it will not be detected, even if a human would have tion, Technical Analysis classified it otherwise. Another solution is DTW3 which consists in computing 1 INTRODUCTION the distance between two time series. DTW allows us to Patterns are recurring sequences found in OHLC1 candle- recognize a pattern that could vary in size and length. To stick charts which traders have historically used as buy and use this algorithm, we must use reference time series, which sell signals. Several studies, notably by Bulkowski2, have have to be selected by a human. The references must gener- found some correlation between patterns and future trends, alize well when compared with signals similar to the pattern although to a limited extent. The correlations were found to in order to capture the whole range. -
Intermediate Indicators Section Review Questions
Section 9 Intermediate Indicators Section Review Questions Question 1 Which of the following statements about Average Directional Index (ADX) is NOT true? a) The ADX measures trend strength without regard to trend direction b) +DI and –DI are used to define directional movement when interpreting ADX c) The DI crossover system can be used to identify potential buy and sell signals d) A strong trending market is present when the ADX is above 50 Question 2 Which of the following are commonly used potential buy and sell signals when interpreting Moving Average Convergence Divergence (MACD)? a) Signal Line Crossover b) Centerline Crossover c) Divergences d) All of the above Question 3 The Money Flow Index (MFI) is also known as: a) Volume-weighted ADX b) Volume-weighted RSI c) Price-weighted Stochastics d) Price-weighted MACD Question 4 The default look-back period for calculating the Relative Strength Index (RSI) is? a) 12 b) 20 c) 14 d) 10 Question 5 When looking at the following indicators, which one is in overbought territory based on the traditional settings for each indicator? a) Slow Stochastics b) Money Flow Index c) Relative Strength Index d) All of the above Question 6 Which of the following statements is NOT true concerning On Balance Volume (OBV)? a) OBV is based on the theory that volume precedes price b) OBV was developed by Joe Granville c) Divergences should NOT be used to anticipate trend reversals when analyzing OBV d) OBV can be used to confirm a price trend Question 7 Which of the following are considered Market Breadth Indicators? a) Advance-Decline Line b) McClellan Oscillator c) Arms Index d) All of the above Section 9 Intermediate Indicators Section Review Answers 1) d 2) d 3) b 4) c 5) a 6) c 7) d . -
User Guide Index-Lab
Index-Lab User Guide © 2004-2009 FMR LLC. All rights reserved. Index-Lab User Guide by FMR LLC Revised: Friday, January 30, 2009 Index-Lab User Guide © 2004-2009 FMR LLC. All rights reserved. No parts of this work may be reproduced in any form or by any means - graphic, electronic, or mechanical, including photocopying, recording, taping, or information storage and retrieval systems - without the written permission of the publisher. Third party trademarks and service marks are the property of their respective owners. While every precaution has been taken in the preparation of this document, the publisher and the author assume no responsibility for errors or omissions, or for damages resulting from the use or misuse of information contained in this document or from the use or misuse of programs and source code that may accompany it. In no event shall the publisher and the author be liable for any loss of profit or any other commercial damage caused or alleged to have been caused directly or indirectly by this document. Printed: Friday, January 30, 2009 Special thanks to: Wealth-Lab's great on-line community whose comments have helped make this manual more useful for veteran and new users alike. EC Software, whose product HELP & MANUAL printed this document. I User Guide, Index-Lab Table of Contents Foreword 0 Part I Introduction 2 1 Index-Lab Overview........... ........................................................................................................................ 2 2 Wealth-Lab Online......... .Community................... -
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. -
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. -
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. -
Candlestick—The Main Mistake of Economy Research in High Frequency Markets
International Journal of Financial Studies Article Candlestick—The Main Mistake of Economy Research in High Frequency Markets Michał Dominik Stasiak Department of Investment and Real Estate, Poznan University of Economics and Business, al. Niepodleglosci 10, 61-875 Poznan, Poland; [email protected] Received: 4 August 2020; Accepted: 1 October 2020; Published: 10 October 2020 Abstract: One of the key problems of researching the high-frequency financial markets is the proper data format. Application of the candlestick representation (or its derivatives such as daily prices, etc.), which is vastly used in economic research, can lead to faulty research results. Yet, this fact is consistently ignored in most economic studies. The following article gives examples of possible consequences of using candlestick representation in modelling and statistical analysis of the financial markets. Emphasis should be placed on the problem of research results being detached from the investing practice, which makes most of the results inapplicable from the investor’s point of view. The article also presents the concept of a binary-temporal representation, which is an alternative to the candlestick representation. Using binary-temporal representation allows for more precise and credible research and for the results to be applied in investment practice. Keywords: high frequency econometric; technical analysis; investment decision support; candlestick representation; binary-temporal representation JEL Classification: C01; C53; C90 1. Introduction While researching any subject literature, often one can notice that some popular methods in scientific research are copied and used without second thought by further researchers. Nowadays, the vast majority of papers pertaining to the analysis of course trajectory on financial markets and connected prediction possibilities use historical data in the form of a candlestick representation (or its derivatives such as daily opening prices, usually called daily prices, etc.) (Burgess 2010; Kirkpatrick and Dahlquist 2010; Schlossberg 2012). -
Japanese Candlestick Patterns
Presents Japanese Candlestick Patterns www.ForexMasterMethod.com www.ForexMasterMethod.com RISK DISCLOSURE STATEMENT / DISCLAIMER AGREEMENT Trading any financial market involves risk. This course and all and any of its contents are neither a solicitation nor an offer to Buy/Sell any financial market. The contents of this course are for general information and educational purposes only (contents shall also mean the website http://www.forexmastermethod.com or any website the content is hosted on, and any email correspondence or newsletters or postings related to such website). Every effort has been made to accurately represent this product and its potential. There is no guarantee that you will earn any money using the techniques, ideas and software in these materials. Examples in these materials are not to be interpreted as a promise or guarantee of earnings. Earning potential is entirely dependent on the person using our product, ideas and techniques. We do not purport this to be a “get rich scheme.” Although every attempt has been made to assure accuracy, we do not give any express or implied warranty as to its accuracy. We do not accept any liability for error or omission. Examples are provided for illustrative purposes only and should not be construed as investment advice or strategy. No representation is being made that any account or trader will or is likely to achieve profits or losses similar to those discussed in this report. Past performance is not indicative of future results. By purchasing the content, subscribing to our mailing list or using the website or contents of the website or materials provided herewith, you will be deemed to have accepted these terms and conditions in full as appear also on our site, as do our full earnings disclaimer and privacy policy and CFTC disclaimer and rule 4.41 to be read herewith. -
The Best Candlestick Patterns
Candlestick Patterns to Profit in FX-Markets Seite 1 RISK DISCLAIMER This document has been prepared by Bernstein Bank GmbH, exclusively for the purposes of an informational presentation by Bernstein Bank GmbH. The presentation must not be modified or disclosed to third parties without the explicit permission of Bernstein Bank GmbH. Any persons who may come into possession of this information and these documents must inform themselves of the relevant legal provisions applicable to the receipt and disclosure of such information, and must comply with such provisions. This presentation may not be distributed in or into any jurisdiction where such distribution would be restricted by law. This presentation is provided for general information purposes only. It does not constitute an offer to enter into a contract on the provision of advisory services or an offer to buy or sell financial instruments. As far as this presentation contains information not provided by Bernstein Bank GmbH nor established on its behalf, this information has merely been compiled from reliable sources without specific verification. Therefore, Bernstein Bank GmbH does not give any warranty, and makes no representation as to the completeness or correctness of any information or opinion contained herein. Bernstein Bank GmbH accepts no responsibility or liability whatsoever for any expense, loss or damages arising out of, or in any way connected with, the use of all or any part of this presentation. This presentation may contain forward- looking statements of future expectations and other forward-looking statements or trend information that are based on current plans, views and/or assumptions and subject to known and unknown risks and uncertainties, most of them being difficult to predict and generally beyond Bernstein Bank GmbH´s control.