Evidence Based Technical Analysis
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Evidence Based Technical Analysis
Author | : David Aronson |
Publsiher | : John Wiley & Sons |
Total Pages | : 572 |
Release | : 2011-07-11 |
Genre | : Business & Economics |
ISBN | : 9781118160589 |
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Evidence-Based Technical Analysis examines how you can apply the scientific method, and recently developed statistical tests, to determine the true effectiveness of technical trading signals. Throughout the book, expert David Aronson provides you with comprehensive coverage of this new methodology, which is specifically designed for evaluating the performance of rules/signals that are discovered by data mining.
Evidence Based Technical Analysis
Author | : David Aronson |
Publsiher | : John Wiley & Sons |
Total Pages | : 550 |
Release | : 2007 |
Genre | : Business & Economics |
ISBN | : IND:30000109865034 |
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"Evidence-Based Technical Analysis examines how you can apply the scientific method, and recently developed statistical tests, to determine the true effectiveness of technical trading signals. Throughout these pages, expert David Aronson details this new type of technical analysis that - unlike traditional technical analysis - is restricted to objective rules, whose historical profitability can be quantified and scrutinized. Evidence-Based Technical Analysis provides you with comprehensive coverage of this new methodology, which is specifically designed for evaluating the performance of rules/signals that are discovered by data mining. Experimental results presented in the book will show you that data mining - a process in which many rules are back-tested and the best performing rules are selected - is an effective procedure for discovering rules/signals"--Jacket.
The Art and Science of Technical Analysis
Author | : Adam Grimes |
Publsiher | : John Wiley & Sons |
Total Pages | : 487 |
Release | : 2012-05-31 |
Genre | : Business & Economics |
ISBN | : 9781118238141 |
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A breakthrough trading book that provides powerful insights on profitable technical patterns and strategies The Art and Science of Technical Analysis is a groundbreaking work that bridges the gaps between the academic view of markets, technical analysis, and profitable trading. The book explores why randomness prevails in markets most, but not all, of the time and how technical analysis can be used to capture statistically validated patterns in certain types of market conditions. The belief of the book is that buying and selling pressure causes patterns in prices, but that these technical patterns are only effective in the presence of true buying/selling imbalance. The Art and Science of Technical Analysis is supported by extensive statistical analysis of the markets, which will debunk some tools and patterns such as Fibonacci analysis, and endorse other tools and trade setups. In addition, this reliable resource discusses trader psychology and trader learning curves based on the author's extensive experience as a trader and trainer of traders. Offers serious traders a way to think about market problems, understand their own performance, and help find a more productive path forward Includes extensive research to validate specific money-making patterns and strategies Written by an experienced market practitioner who has trained and worked with many top traders Filled with in-depth insights and practical advice, The Art and Science of Technical Analysis will give you a realistic sense of how markets behave, when and how technical analysis works, and what it really takes to trade successfully.
Trading with Candlesticks
Author | : Michael C. Thomsett |
Publsiher | : FT Press |
Total Pages | : 253 |
Release | : 2010-08-04 |
Genre | : Business & Economics |
ISBN | : 9780132121255 |
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Traders who use charts to time their moves rely on strong and clear signals. Unfortunately, price levels and traditional technical indicators alone aren't always reliable. There is a solution: candlestick signs, moves, and patterns. When these visual signs of reversal or continuation are integrated with other signals, they provide the strongest possible entry and exit timing: both the signal and the means for confirming it. In this easy-to-use book, renowned trader Michael C. Thomsett demystifies candlesticks and shows active traders exactly how to use them. In Trading with Candlesticks, Thomsett explains how each leading candlestick works, how they appear, and how to interpret them to discover emerging price moves and trend reversals, as well as confirmations of existing trends. Trading with Candlesticks shows dozens of examples of candlestick signs, moves and patterns in action, explaining them not in isolation, but as part of broader, developing price trends on real stock charts. Thomsett also discusses failed signals, and offers guidelines for identifying the likely impending failure or success of each pattern. While no investing approach is 100% foolproof, Thomsett's system for recognizing candlestick signals and confirming them with other technical signs makes technical analysis more accurate than it's ever been before.
Technical Analysis of the Financial Markets
Author | : John J. Murphy |
Publsiher | : Penguin |
Total Pages | : 576 |
Release | : 1999-01-01 |
Genre | : Business & Economics |
ISBN | : 9781101659199 |
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John J. Murphy has now updated his landmark bestseller Technical Analysis of the Futures Markets, to include all of the financial markets. This outstanding reference has already taught thousands of traders the concepts of technical analysis and their application in the futures and stock markets. Covering the latest developments in computer technology, technical tools, and indicators, the second edition features new material on candlestick charting, intermarket relationships, stocks and stock rotation, plus state-of-the-art examples and figures. From how to read charts to understanding indicators and the crucial role technical analysis plays in investing, readers gain a thorough and accessible overview of the field of technical analysis, with a special emphasis on futures markets. Revised and expanded for the demands of today's financial world, this book is essential reading for anyone interested in tracking and analyzing market behavior.
Technical Analysis of Gaps
Author | : Julie R. Dahlquist,Richard J. Bauer |
Publsiher | : FT Press |
Total Pages | : 252 |
Release | : 2012 |
Genre | : Business & Economics |
ISBN | : 9780132900430 |
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Gaps have attracted the attention of market technicians from the earliest days of charting. They're not merely conspicuous: they represent price jumps that could signal profitable trading opportunities. Until now, however, "folklore" about gap trading has been common, and tested, research-based knowledge virtually nonexistent. In Technical Analysis of Gaps, renowned technical analysis researchers Julie Dahlquist and Richard Bauer change all that. Drawing on 60 years of comprehensive data, they demonstrate how to sort "strategic" gaps from trivial ones, and successfully trade on gaps identified as significant. Building on work that recently earned them the Market Technicians Association's 2011 Charles H. Dow Award for creativity and innovation in technical analysis, Dahlquist and Bauer offer specific gap-related trading tips for stocks, futures, and options. They consider a wide variety of market conditions, including gap size, volume and previous price movement, illuminating their findings with easy-to-understand diagrams. Coverage includes: understanding what gaps are and how they arise; recognizing windows on candlestick charts; identifying gaps with superior profit potential; combining gaps with other technical techniques for a more complete and effective analysis; and putting it all together with real trading strategies. For stock, commodity, and currency traders in the U.S. and worldwide, and for active individual investors seeking new ways to maximize returns.
Statistically Sound Machine Learning for Algorithmic Trading of Financial Instruments
Author | : David Aronson,Timothy Masters |
Publsiher | : Createspace Independent Publishing Platform |
Total Pages | : 0 |
Release | : 2013 |
Genre | : Algorithmus |
ISBN | : 148950771X |
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This book serves two purposes. First, it teaches the importance of using sophisticated yet accessible statistical methods to evaluate a trading system before it is put to real-world use. In order to accommodate readers having limited mathematical background, these techniques are illustrated with step-by-step examples using actual market data, and all examples are explained in plain language. Second, this book shows how the free program TSSB (Trading System Synthesis & Boosting) can be used to develop and test trading systems. The machine learning and statistical algorithms available in TSSB go far beyond those available in other off-the-shelf development software. Intelligent use of these state-of-the-art techniques greatly improves the likelihood of obtaining a trading system whose impressive backtest results continue when the system is put to use in a trading account. Among other things, this book will teach the reader how to: Estimate future performance with rigorous algorithms Evaluate the influence of good luck in backtests Detect overfitting before deploying your system Estimate performance bias due to model fitting and selection of seemingly superior systems Use state-of-the-art ensembles of models to form consensus trade decisions Build optimal portfolios of trading systems and rigorously test their expected performance Search thousands of markets to find subsets that are especially predictable Create trading systems that specialize in specific market regimes such as trending/flat or high/low volatility More information on the TSSB program can be found at TSSBsoftware dot com.
Statistical Power Analysis for the Behavioral Sciences
Author | : Jacob Cohen |
Publsiher | : Routledge |
Total Pages | : 625 |
Release | : 2013-05-13 |
Genre | : Psychology |
ISBN | : 9781134742776 |
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Statistical Power Analysis is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: * a chapter covering power analysis in set correlation and multivariate methods; * a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and; * expanded power and sample size tables for multiple regression/correlation.