What Is Technical Analysis?
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
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. -
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. -
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. -
Moving Average Convergence Divergence (MACD)
Understanding Technical Analysis : Moving Average Convergence Divergence (MACD) Apart from candlestick chart pattern indicators, traders or analysts often use the Hi 74.57 Moving Average Convergence Divergence (MACD) and Relative Strength Index Potential supply (RSI) in technical analysis of financial security. Like the candlestickdisruption chart indicators, due to MACD is also used to identify any trend pattern movement. attacks on two oil Brent tankers near Iran What is MACD? WTI Momentum • MACD is a momentum oscillator indicator WTI Oscillator which is used to identify trend formation Lo 2,237.40 (24 Mar 2020) • MACD shows a relationship betweenLo 18,591.93 two (24 Mar 2020) Moving moving averages of a financial instrument. • It combines price points of an instrument over Averages a specified time frame, divided by the number of data points, to give a single trend line Simple Moving Average (SMA) Exponential Moving Average (EMA) • The most basic MA, which is just a • A type of moving average that gives straight calculation of the mean price more weight to recent prices which of a set of values over a given time involves three steps. periods. • The SMA is computed first. Next, we • If you were to calculate the SMA for a must calculate the multiplier for ten-day period, you would take the weighting the EMA. The final step summed value of the last ten days involves the use of formula to and divide the result by ten. compute the current EMA. Level 6, Kenanga Tower, 237 Jalan Tun Razak, 50400 Kuala Lumpur, Malaysia. Tel: (603) 2172 3888 Fax: (603) 2172 2729 Email: [email protected] Website: www.kenangafutures.com.my How MACD works? MACD is generated by subtracting the long term EMAs (26 period) from the short term EMAs (12 periods) to form the main line known as MACD line. -
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. -
Candlesticks, Fibonacci, and Chart Pattern Trading Tools
ffirs.qxd 6/17/03 8:17 AM Page iii CANDLESTICKS, FIBONACCI, AND CHART PATTERN TRADING TOOLS A SYNERGISTIC STRATEGY TO ENHANCE PROFITS AND REDUCE RISK ROBERT FISCHER JENS FISCHER JOHN WILEY & SONS, INC. ffirs.qxd 6/17/03 8:17 AM Page iii ffirs.qxd 6/17/03 8:17 AM Page i CANDLESTICKS, FIBONACCI, AND CHART PATTERN TRADING TOOLS ffirs.qxd 6/17/03 8:17 AM Page ii Founded in 1870, John Wiley & Sons is the oldest independent publishing company in the United States. With offices in North America, Europe, Australia, and Asia, Wiley is globally committed to developing and market- ing print and electronic products and services for our customers’ professional and personal knowledge and understanding. The Wiley Trading series features books by traders who have survived the market’s ever-changing temperament and have prospered—some by re- investing systems, others by getting back to basics. Whether a novice trader, professional, or somewhere in-between, these books will provide the advice and strategies needed to prosper today and well into the future. For a list of available titles, visit our web site at www.WileyFinance.com. ffirs.qxd 6/17/03 8:17 AM Page iii CANDLESTICKS, FIBONACCI, AND CHART PATTERN TRADING TOOLS A SYNERGISTIC STRATEGY TO ENHANCE PROFITS AND REDUCE RISK ROBERT FISCHER JENS FISCHER JOHN WILEY & SONS, INC. ffirs.qxd 6/17/03 8:17 AM Page iv Copyright © 2003 by Robert Fischer, Dr. Jens Fischer. All rights reserved. Published by John Wiley & Sons, Inc., Hoboken, New Jersey. Published simultaneously in Canada. PHI-spirals, PHI-ellipse, PHI-channel, and www.fibotrader.com are registered trademarks and protected by U.S. -
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. -
Accumulation/Distribution Line -- Chart School
Accumulation/Distribution Line -- Chart School Chart School Accumulation/Distribution Line Introduction - Volume and the Flow of Money There are many indicators available to measure volume and the flow of money for a particular stock, index or security. One of the most popular volume indicators over the years has been the Accumulation/Distribution Line. The basic premise behind volume indicators, including the Accumulation/Distribution Line, is that volume precedes price. Volume reflects the amount of shares traded in a particular stock and is a direct reflection of the money flowing into and out of a stock. Many times before a stock advances, there will be period of increased volume just prior to the move. Most volume or money flow indicators are designed to identify early increases in positive or negative volume flow to gain an edge before the price moves. (Note: the terms "money flow" and "volume flow" are essentially interchangeable.) Methodology (Click here to see a live example of the Acc/Dist Line) The Accumulation/Distribution Line was developed by Marc Chaikin to assess the cumulative flow of money into and out of a security. In order to fully appreciate the methodology behind the Accumulation/Distribution Line, it may be helpful to examine one of the earliest volume indicators and see how it compares. In 1963, Joe Granville developed On Balance Volume (OBV), which was one of the earliest and most popular indicators to measure positive and negative volume flow. OBV is a relatively simple indicator that adds the corresponding period's volume when the close is up and subtracts it when the close is down. -
Technical Indicators Defined & Explained
Technical Indicators Defined & Explained A guide to understanding and applying the most popular technical indicators by BDSwiss Trading Academy Any information appearing on this graph or text is based solely on reasonable assumptions and does not December 2020 represent a reliable indication of future performance, nor does it represent a recommendation for trading decisions. Index Page 01 RSI - Relative Strength Index 03 02 Average Directional Index 07 03 Parabolic SAR 10 04 Moving Average Convergence and Divergence MACD 13 05 Bollinger Bands® 16 06 Linearly Weighted Moving Average 19 07 Exponential Moving Average 22 08 Simple Moving Average 25 09 Stochastic Oscillator 28 Any information appearing on this graph or text is based solely on reasonable assumptions and does not represent a reliable indication of future performance, nor does it represent a recommendation for trading decisions. 2 01 RSI Relative Strength Index Any information appearing on this graph or text is based solely on reasonable assumptions and does not represent a reliable indication of future performance, nor does it represent a recommendation for trading decisions. 3 Indicator Profile • RSI was developed in 1978 by J. Welles Wilder Jr. • It is among the most widely used trading indicators in technical analysis. • RSI is a momentum indicator, which means it helps measure the velocity of a particular assets price changes. • In its initial form, the RSI was designed for stock trading. As it started proving efficient, traders began applying it to other assets as well. The Relative Strength Index is an indicator that helps traders capture market momentum by measuring the magnitude of price fluctuations. -
Timeframeset
QuantShare Programming Language Table of contents 1. QuantShare Language 1.1 Application Info 1.1.1 NbGroups 1.1.2 NbIndexes 1.1.3 NbIndustries 1.1.4 NbInGroup 1.1.5 NbInIndex 1.1.6 NbInIndustry 1.1.7 NbInMarket 1.1.8 NbInSector 1.1.9 NbMarkets 1.1.10 NbSectors 1.2 Candlestick Pattern 1.2.1 Cdl2crows (0) 1.2.2 Cdl2crows (1) 1.2.3 Cdl3blackcrows (0) 1.2.4 Cdl3blackcrows (1) 1.2.5 Cdl3inside (0) 1.2.6 Cdl3inside (1) 1.2.7 Cdl3linestrike (0) 1.2.8 Cdl3linestrike (1) 1.2.9 Cdl3outside (0) 1.2.10 Cdl3outside (1) 1.2.11 Cdl3staRsinsouth (0) 1.2.12 Cdl3staRsinsouth (1) 1.2.13 Cdl3whitesoldiers (0) 1.2.14 Cdl3whitesoldiers (1) 1.2.15 CdlAbandonedbaby (0) 1.2.16 CdlAbandonedbaby (1) 1.2.17 CdlAdvanceblock (0) 1.2.18 CdlAdvanceblock (1) 1.2.19 CdlBelthold (0) 1.2.20 CdlBelthold (1) 1.2.21 CdlBreakaway (0) 1.2.22 CdlBreakaway (1) 1.2.23 CdlClosingmarubozu (0) 1.2.24 CdlClosingmarubozu (1) 1.2.25 CdlConcealbabyswall (0) 1.2.26 CdlConcealbabyswall (1) 1.2.27 CdlCounterattack (0) 1.2.28 CdlCounterattack (1) 1.2.29 CdlDarkcloudcover (0) 1.2.30 CdlDarkcloudcover (1) 1.2.31 CdlDoji (0) 1.2.32 CdlDoji (1) 1.2.33 CdlDojistar (0) 1.2.34 CdlDojistar (1) 1.2.35 CdlDragonflydoji (0) 1.2.36 CdlDragonflydoji (1) 1.2.37 CdlEngulfing (0) 1.2.38 CdlEngulfing (1) 1.2.39 CdlEveningdojistar (0) 1.2.40 CdlEveningdojistar (1) 1.2.41 CdlEveningstar (0) 1.2.42 CdlEveningstar (1) 1.2.43 CdlGapsidesidewhite (0) 1.2.44 CdlGapsidesidewhite (1) 1.2.45 CdlGravestonedoji (0) 1.2.46 CdlGravestonedoji (1) 1.2.47 CdlHammer (0) 1.2.48 CdlHammer (1) 1.2.49 CdlHangingman (0) 1.2.50 -
Profiting with Chart Patterns.Book
Profiting with Chart Patterns by Ed Downs Profiting with Chart Patterns November 2016 Edition BK-02-01-01 Support Worldwide Technical Support and Product Information www.nirvanasystems.com Nirvana Systems Corporate Headquarters 9111Jollyville Rd, Suite 275, Austin, Texas 78759 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]. © 2016 Nirvana Systems Inc. All rights reserved. Contents Chapter 1 Confirming Entries & Managing Exits What is a Pattern? ..........................................................................................................1-1 Psychology of Support Bounces ....................................................................................1-2 Goals of Chart Pattern Analysis.....................................................................................1-3 Chapter 2 Tools of the Trade 7 Chart Pattern Method..................................................................................................2-1 Pattern Timeframe .........................................................................................................2-2 Prior Move Test .............................................................................................................2-3