Bear Trap –
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Copyrighted Material
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. -
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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.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. -
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. -
How High Can a Dead Cat Bounce?: Metaphor and the Hong Kong Stock Market
DOCUMENT RESUME ED 390 259 FL 023 436 AUTHOR Smith, Geoff P. TITLE How High Can a Dead Cat Bounce?: Metaphor and the Hong Kong Stock Market. REPORT NO ISSN-10-15-2059 PUB DATE Sep 95 NOTE 16p.; For complete volume, see FL 023 432. PUB fYPE Journal Articles (080) Reports Evaluative/Feasibility (142) Viewpoints (Opinion/Position Papers, Essays, etc.) (120) JOURNAL CIT Hong Kong Papers in Linguistics and Language Teaching; v18 p43-57 Sep 1995 EDRS PRICE MF01/PC01 Plus Postage. DESCRIPTORS *Economics; English (Second Language); *English for Special Purposes; Foreign Countries; Learning Processes; *Media Research; *Metaphors; Symbols (Literary) IDENTIFIERS *Hong Kong; *Stock Market ABSTRACT This paper investigates metaphor in the language of economics, in particular, the way the vicissitudes of the Hong Kong financial markets are reported in the press. It analyzes the content from an English for Specific Purposes (ESP) perspective, probing for the significance in the negotiation of meaning in the subject area. Text samples were collected from the local Hong Kong media over 5 months in 1994. The perception of metaphor has changed in recent years from a rather obscure area of literary style to a central psycho-linguistic process intimately concerned with the way that reality is constructed through language. A number of subject domains are identified, including anthropomorphism, gravity, fauna, sports, and sentimentality. Findings suggest that metaphor is central to the definition of basic economic constructs; it has a role in making abstruse theoretical concepts accessible to readers or merely to interest or entertain. Metaphor functions here not only as a stylistir device, but is fundamental to the perceptions of both academics and professionals in the field. -
How to Trade the Dead Cat Bounce
How to Trade the Dead Cat Bounce In this article, we will cover how to trade the dead cat bounce pattern, which is often a trap for traders looking to get long. I will do a deep dive into how to trade the dead cat bounce pattern and the deadly consequences of timing your entry incorrectly. What is a Dead Cat Bounce? The dead cat bounce pattern is a chart phenomenon which occurs during bearish moves. Simply put, the dead cat bounce pattern is a long-awaited correction of a brutal bearish trend. Imagine a stock is in a strong downtrend. Naturally, there are a large number of short sellers in the stock. However, some traders might decide that the stock has reached its lowest possible point. These traders will look to close their short trades and some will even look to get long. This of course leads to more buying pressure and the stock finds its footing. After this short bounce, the stock will once again proceed in the direction of the primary trend, leading to a swift sell off. The below image depicts the dead cat bounce of Netflix. Dead Cat Bounce Above you are looking at the 3-minute chart of Netflix from June 20, 2016. The image displays a strong bearish trend, which started in the $95.80 range. In the blue ellipse, you see that the price increases shortly and then returns back to its bearish trajectory. The increase in the blue area is the dead cat bounce zone. As you see, “the Cat dies” first; then it hits the bottom and bounces higher. -
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. -
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. -
Bloomberg Commodity Outlook
Learn more about Bloomberg Indices Broad Market Outlook 1 Energy 3 Bloomberg Commodity Outlook – June 2019 Edition Metals 7 Agriculture 11 Bloomberg Commodity Index (BCOM) DATA PERFORMANCE: 17 Overview, Commodity TR, Prices, Volatility The Receding Tide CURVE ANALYSIS: 21 Contango/Backwardation, Roll Yields, - Lower broad-commodity prices help fill some macroeconomic gaps Forwards/Forecasts - Commodity tide is receding with bond yields MARKET FLOWS: 24 Open Interest, Volume, - Crude oil is the greatest risk to macro performance COT, ETFs - Base metals to join receding macroeconomic tide; gold supported PERFORMANCE 27 - Stormy weather may be lightning strike for agriculture bulls Note ‐ Click on graphics to get to the Bloomberg terminal Data and outlook as of May 31 Mike McGlone – BI Senior Commodity Strategist BI COMD (the commodity dashboard) Crude Oil and Copper's Primary Risks trade deal. Our graphic depicts the Bloomberg Are on Receding Macro Tide Commodity Spot Index's vulnerability at the downward- sloping 60-month average, as the same measure of the Performance: May -3.4%, 2019 +2.3%, Spot +3.4%. VIX Volatility Index turns higher. (Returns are total return (TR) unless noted) BCOM Risks Downturn With Yields, Bottoming VIX (Bloomberg Intelligence) -- The decreasing likelihood of a definitive U.S.-China trade accord, and V-shaped bottoms in crude oil and stocks, will pressure broad commodities as the macroeconomic tide recedes, in our view. Declining Treasury yields have been a leading indicator this year, continuing 4Q's risk-off trend. Commodities appear to be teetering on their last, wobbly pillar (stock- market volatility), with declining crude oil -- the greater risk, in our view -- dashing hopes. -
Steve Nison, CMT President: Candlecharts.Com
With Steve Nison, CMT President: Candlecharts.com Legal Notice: This recording is © Candlecharts.com and may not be copied, retransmitted, nor distributed in any manner whatsoever, including, but not limited to, video or audio file sharing sites, online auction and classified sites, discussion forums nor any other means. Illegal redistribution of this content may result in criminal and/or civil fines, pursuant to applicable international copyright law. All rights reserved worldwide. Candlestick Candlesticks + Charting Western Techniques Indicators Candlesticks + Trade Management ANATOMY OF THE CANDLESTICK LINE high Shadow close open Real Body open close low Real Bodies / Shadows Foundation of East + West: Nison Candlessticks and Trend Lines Horizontal Trend Line Change Polarity Crack/Snap Falling Off the Roof Who’s in control? Who’s in control? Scenario 1 Scenario 2 www.candlecharts.com Candles and Trend lines www.candlecharts.com How Education Saves You Big $$$ Major resistance 2.00-2.01 www.candlecharts.com How Education Saves You Big $$$ Long term resistance zone www.candlecharts.com How Education Saves You Big $$$ Long term resistance zone www.candlecharts.com Reading the Market’s Message with the Light of the Candles www.candlecharts.com www.candlecharts.com Resistance Resistance Support Support www.candlecharts.com Trading Ultra Shorts Support or resistance lines using longer term charts (slide 1 of 2) Long Term Chart Long term support once broken becomes…. New resistance And adding them to a Shorter Term Chart (slide 2 of 2) -
Research Article Predicting Stock Price Trend Using MACD Optimized by Historical Volatility
Hindawi Mathematical Problems in Engineering Volume 2018, Article ID 9280590, 12 pages https://doi.org/10.1155/2018/9280590 Research Article Predicting Stock Price Trend Using MACD Optimized by Historical Volatility Jian Wang and Junseok Kim Department of Mathematics, Korea University, Seoul , Republic of Korea Correspondence should be addressed to Junseok Kim; [email protected] Received 18 September 2018; Revised 13 November 2018; Accepted 21 November 2018; Published 25 December 2018 Academic Editor: Luis Mart´ınez Copyright © 2018 Jian Wang and Junseok Kim. Tis is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. With the rapid development of the fnancial market, many professional traders use technical indicators to analyze the stock market. As one of these technical indicators, moving average convergence divergence (MACD) is widely applied by many investors. MACD is a momentum indicator derived from the exponential moving average (EMA) or exponentially weighted moving average (EWMA), which reacts more signifcantly to recent price changes than the simple moving average (SMA). Traders fnd the analysis of 12- and 26-day EMA very useful and insightful for determining buy-and-sell points. Te purpose of this study is to develop an efective method for predicting the stock price trend. Typically, the traditional EMA is calculated using a fxed weight; however, in this study, we use a changing weight based on the historical volatility. We denote the historical volatility index as HVIX and the new MACD as MACD-HVIX. We test the stability of MACD-HVIX and compare it with that of MACD. -
VIX and VIX Etns
VIX and VIX ETNs What They’re All About and How to Trade this Exciting Market Dan, The Trading God [email protected] http://tradinggods.net Ridgeline Media Group, LLC. 70 SW Century Drive Suite 100-148 Bend, Oregon 97702 VIX and VIX ETNs What They’re All About and How to Trade This Exciting Market Table of Contents Chapter 1: VIX Overview - What it is and how it Works Chapter 2: Three Ways to Trade VIX Chapter 3: Four VIX Trading Strategies Chapter 4: VIX Trader Chapter 5: VIX Resources Chapter 1: VIX Overview - What it is and how it Works: VIX is the Chicago Board Options Exchange (CBOE) Volatility Index and it shows the market expectation of 30 day volatility. The VIX Index is updated on a continuous basis and offers a picture of the expected market volatility in the S&P 500 during the next 30 days. The VIX Index was first introduced in 1993 and a second version was introduced in 2003 and is still in use today. VIX is also commonly known as the “fear index,” since volatility and the VIX index tend to rise during times that the S&P 500 is falling. Therefore, the VIX Index is said to measure the amount of fear or complacency in the market. Many analysts suggest that VIX is a predictive measure of market risk and future market action since this index is traded by some of the most professional traders in the world. However, there is also a large school of thought that suggests that VIX is a trailing indicator and so not suitable for attempts at market timing.