MACD Ultimate Guide + 5 Profitable Trading Strategies [Video]
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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. -
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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.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. -
Finance Feature
finance feature by Douglas Carlsen, DDS Face it: dentists are competitive and compulsive. We have to be to perform the miracles of our daily work. When I tell the average person that tooth “preparation” is performed with a drill running at 400,000rpm on a moving target within 1/16 inch or less of the nerve 90 percent of the time, I often hear, “No wonder you guys scare me to death!” With that compulsive drive comes the idea that we can invest smarter than the average Joe. Yet, according to noted author Larry Swedroe: “…the purchase by investors of individ- ual stocks… would seem to be the ultimate in controlling your own portfolio. However, in pursuing this course, you create two problems. First, you likely cannot achieve the extensive diversification that the use of mutual funds accomplishes. Second, the evidence tells us that individual investors who select their own stocks underperform appropriate benchmarks by significant margins.”1 Financial planners who utilize academic-based strategy agree that individuals cause little damage by actively trading a small portion of the portfolio (five to 10 percent) as long as the great bulk of one’s investments are in passive index funds. Nevertheless, many doctors choose to actively trade a significant portion of their funds. Since many of you will or already have taken the trading plunge, let’s examine the basics, then hear comments from a dentist who has done well since 2001 with active trading. Active traders normally use fundamental analysis or technical analysis, and often both. 1. Larry Swedroe, Investment Mistakes Even Smart Investors Make, McGraw Hill, 2012, p.24. -
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. -
The Candlestick Forecaster
The Candlestick Forecaster Samurai Edition User Manual Copyright Ó 2000 Highest Summit Technologies Sdn Bhd. All Rights Reserved. LICENCE AGREEMENT THE CANDLESTICK FORECASTERÒ software constitutes a CD having copyrighted computer software accompanied by a copyrighted user manual in which all copyrights and ownership rights are owned only by Highest Summit Technologies Sdn Bhd (HST). HST grants to you a non-exclusive license to use a copy of The Candlestick Forecaster software on a single computer and the terms of this grant is effective unless violated. You may call and discuss with us by telephone any questions about the installation and use of The Candlestick Forecaster software by calling our office at (603) 245-5877, fax us at (603) 245-6792 or email us at [email protected]. We reserve the right to discontinue technical support at anytime without notice to you. You are not entitled to sub-license, rent, lease, sell, pledge or otherwise transfer or distribute the original copy of The Candlestick Forecaster software. Modification, disassembly, reverse engineering or creating derivative works based on the software or any portion thereof is expressly prohibited. Copying of the manual is also prohibited. Breach of these provisions automatically terminates this agreement and subjects you to further legal implications. The Candlestick Forecaster is warranted for ninety (90) days from the date of purchase to be free of defects in materials and workmanship under normal use. To obtain replacement of any material under this warranty, you must return the inaccurate CD or copy of the manual to us within the warranty period or notify us in writing within the warranty period that you have found an inaccuracy in The Candlestick Forecaster software and then return the materials to us. -
Forex Training Summary and Quiz – Stochastic Oscillator in Forex
EXCHANGE RATES FOREX TRADING MONEY TRANSFERS CURRENCY HEDGING ABOUT US MY ACCOUNT HELP DESK SEARCH U.S. Why OANDA Products Learn News & Analysis Home Learn Forex Technical Analy sis Stochastic Oscillator Forex Training Summary and Quiz LESSON 4: STOCHASTIC OSCILLATOR Sign in or Register with OANDA Forex Training Summary and Quiz Stochastic Oscillator in Forex Stochastic Oscillators w ere developed in the late 1950s by George C. Lane and are used to help predict the future direction of an exchange rate. The Oscillator scale ranges from 0 to 100. When calculating the strength of a trend, the Stochastic Oscillator defines and uptrend as the period of time w hen rates remain equal to or higher than the previous close, w hile a downtrend is the period of time w hen rates remain equal to or low er than the previous close. The Full Stochastic consists of tw o stochastic lines - %K and %D w here: %K tracks the current rate for the currency pair %D is a moving average based on the %K line - the fact that it is an average of %K means that it w ill produce a "smoothed out" version of %K The %K line is commonly referred to as the Fast Stochastic as it moves w ith changes in the spot rate w hile the %D line - w hich is a moving average of the %K line - reacts more slow ly to rate changes. For this reason, it is often referred to as the Slow Stochastic. Crossovers occur w hen the %K line intersects the %D line. -
Stochastic Pop & Drop Strategies
Stochastic Pop & Drop Strategies Establish a Trading Bias •Establish a short-term trading bias with a long-term indicator. •Traders look for bullish setups when the bias is bullish and bearish setups when the bias is bearish. •Trading in the direction of this bias is like riding a bike with the wind at your back. The chances of success are higher when the bigger trend is in your favor. •Use the weekly Stochastic Oscillator to define the trading bias. •In particular, the trading bias is deemed bullish when the weekly 14-period Stochastic Oscillator is above 50 and rising, and vice versa for bearish bias •Use a 70-period daily Stochastic Oscillator so all indicators can be displayed on the chart **This timeframe is simply five times the 14-day timeframe. Stochastic Pop Stochastic Pop Buy Signal •70-day Stochastic Oscillator is above 50 •14-day Stochastic Oscillator surges above 80 •Stock rises on high volume and/or breaks consolidation resistance. •Candle pattern confirmation Stochastic Pop •Once the bullish prerequisites are in place, a buy signal triggers when the 14-day Stochastic Oscillator surges above 80 and the stock breaks out on above average volume. •Consolidation breakouts are preferred when using this strategy (ie Box range) •Do not ignore high volume signals that do not produce breakouts •Sometimes the initial high-volume surge is a precursor to a breakout Box Range / Consolidation Trending Market Trending Market Trending Market Trending Market / Box Range Stochastics Stochastic Drop Stochastic Drop Sell Signal •70-day Stochastic Oscillator is below 50 •14-day Stochastic Oscillator plunges below 20 •Stock declines on high volume and/or breaks consolidation support. -
A Guide to WL Indicators
A GUIDE TO WL INDICATORS GETTING TECHNICAL ABOUT TRADING: USING EIGHT COMMON INDICATORS TO How is it different from other MAs? MAKE SENSE OF TRADING While other MA calculations may weigh price or time frame differently, the SMA is calculated by weighing the closing prices equally. What’s a technical indicator and why should I use them? Traders usually use more than one SMA to determine market momentum; when an SMA with a short- term time What’s the market going to do next? It is a question that’s almost always on traders’ minds. Over time, traders period (for instance, a 15-day SMA) crosses above an SMA with a long-term time frame (a 50-day SMA), it usually have looked at price movements on charts and struggled to make sense of the ups, downs, and sometimes means that the market is in an uptrend. sideways movements of a particular market. When an SMA with a shorter time period crosses below an SMA with a longer time period, it usually means That’s given rise to technical indicators - a set of tools that use the real-time market moves of an instrument to that the market is in a downtrend. Traders also use SMAs to detect areas of support when a trend changes give traders a sense of what the market will do next. There are hundreds of different indicators that traders can direction. Generally, an SMA with a longer time period identifies a stronger level of support. use, but whether you’re a new trader or an old hand at it, you need to know how to pick one, how to adjust its settings, and when to act on its signals. -
Trading System Development David Francis Zielinski Worcester Polytechnic Institute
Worcester Polytechnic Institute Digital WPI Interactive Qualifying Projects (All Years) Interactive Qualifying Projects June 2017 Trading System Development David Francis Zielinski Worcester Polytechnic Institute Muhaimin Islam Worcester Polytechnic Institute Obianuli Ebubechukwu Obiora Worcester Polytechnic Institute Follow this and additional works at: https://digitalcommons.wpi.edu/iqp-all Repository Citation Zielinski, D. F., Islam, M., & Obiora, O. E. (2017). Trading System Development. Retrieved from https://digitalcommons.wpi.edu/iqp- all/1892 This Unrestricted is brought to you for free and open access by the Interactive Qualifying Projects at Digital WPI. It has been accepted for inclusion in Interactive Qualifying Projects (All Years) by an authorized administrator of Digital WPI. For more information, please contact [email protected]. Trading System Development An Interactive Qualifying Project Submitted to the Faculty Of In Partial Fulfillment of the requirements for the Degree of Bachelor of Science By: David Zielinski Obi Obiora Muhaiman Islam Submitted to: Professors Michael Radzicki Fred Hutson 1 Abstract: 4 Chapter 1: 5 Introduction 5 Chapter 2: 7 Trading and Investing 7 Pros and Cons 8 Day Trading Pros and Cons 9 Swing Trading Pros and Cons 11 Pros 11 Cycle and Trend 12 Four Asset Classes and Inter Market Analysis 14 Equities: 14 Currencies: 15 Commodities: 15 Intermarket Analysis: 17 How Businesses Respond to the Business Cycle 18 Advantages and Disadvantages 19 Taxing Asset Classes: 20 Account Requirements and Position -
© 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.