Academic literature on the topic 'Elliott Waves Theory'

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Journal articles on the topic "Elliott Waves Theory"

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D’Angelo, Eugenio, and Giulio Grimaldi. "The Effectiveness of the Elliott Waves Theory to Forecast Financial Markets: Evidence from the Currency Market." International Business Research 10, no. 6 (2017): 1. http://dx.doi.org/10.5539/ibr.v10n6p1.

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The purpose of this paper is to investigate the capability of a technical analysis to be used as a valuable tool in forecasting financial markets. After discussing the primary theoretical and methodological differences that oppose the fundamental analysis and technical analysis and introducing the Elliott waves theory, the paper focuses on the results obtained after applying this method to the currency market. The results show that during the period from 2009-2015, the exchange rate between the U.S. dollar and euro could be forecasted with great accuracy. A potential future pattern is also proposed for the exchange rate beginning in March 2017. The research confirmed the usefulness of Elliott’s model for predicting currency markets, and the effectiveness of the fundamental analysis theories generally adopted for academic studies was evaluated.
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Webster, P. M., R. P. Sawatzky, V. Hoffstein, R. Leblanc, M. J. Hinchey, and P. A. Sullivan. "Wall motion in expiratory flow limitation: choke and flutter." Journal of Applied Physiology 59, no. 4 (1985): 1304–12. http://dx.doi.org/10.1152/jappl.1985.59.4.1304.

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Limitation of expiratory airflow from mammalian airways is currently understood to be due to choking at wave speed (S. V. Dawson and E. A. Elliott. J. Appl. Physiol. 43: 498–515, 1977). A critical weakness of the theory is the lack of a mechanism for the dissipation of energy when effort exceeds that needed for maximal flow. We have observed substantial wall motion with flow limitation in a physical model of a trachea. Therefore we have examined a simple two-dimensional mathematical model, designed to approximate the behavior of the physical model of the trachea, to try to identify a relationship between flow limitation and wall oscillation. The model matches wave-speed predictions when only long waves are considered. The model predicts that aerodynamic flutter will occur in the zone of supercritical flow described in wave-speed theory. Aerodynamic flutter in the zone of supercritical flow provides a potential mechanism for the energy dissipation necessary for transition from supercritical to subcritical flow and explains the high-frequency pure tone heard with flow limitation.
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Ushanov, P. V. "ADAPTATION TO CHANGES IN CONDITIONS CHANGE LIFE-CYCLE PHASES СORPORATION". Strategic decisions and risk management, № 4 (2 листопада 2014): 78–84. http://dx.doi.org/10.17747/2078-8886-2011-4-78-84.

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The concept of life cycle and corporations K.Adizes studied through the prism of Elliott Wave Theory and the theory of meridians. The features of the phases, the premise of constructive and destructive transition from one life cycle phase to another. Proposed clarifying the concept of the life cycle of the corporation, consisting of 10 phases.
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Syshchuk, Andrii, and Iryna Panasiuk. "HISTORY AND PRACTICE OF TECHNICAL METHODS OF THE INTERNATIONAL CURRENCY MARKET." Economic journal of Lesia Ukrainka Eastern European National University 1, no. 21 (2020): 12–21. http://dx.doi.org/10.29038/2411-4014-2020-01-12-21.

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Introduction. Technical analysis is an assessment of the behavior of the international currency market over a period of time. Due to the unpredictability of the dynamics of the international currency market and the possibility of losses from the conducted transactions, the study of technical means becomes of particular importance and relevance. It is the comparative analysis that identifies the advantages and disadvantages of each of the methods in order to further formulate the most profitable trading strategy.
 The purpose of the article is a comparative analysis of the technical analysis methods used by analysts in today's international currency market; comparing the selected instruments of each method and determining the most effective ones.
 Results. Within the framework of this study three main methods of technical analysis of the international currency market were considered: graphic, method of mathematical approximation and theory of economic cycles. The individual instruments of each of the methods, such as «Japanese candlestick», simple moving average, the moving average convergence divergence (MACD), MACD histogram, Elliott waves, Fibonacci retracement levels are reviewed. A comparative analysis of the selected instruments is carried out on the basis of research of the specificity of each of them. Examples of graphs, indicators and histograms are given. It is identified that the main differences are the complexity of use (ie the use of mathematical computing and computer technology) and the type of strategy (short or long term). Common features of methods of technical analysis of the currency market are: the purpose of the analysis, the object of analysis and the influence of the factor «psychology of people».
 Conclusions. It is revealed that one can obtain the most accurate results in predicting the dynamics of currency quotations only by combining several methods simultaneously. Knowing the strengths and weaknesses of different technical analysis tools, you can use them to validate each other's signals. As a result of such tactics, the analyst will get more accurate indicators that will bring him a profit. The prospect of the research is to find the best strategic schemes using a wide range of technical tools for international currency market analysis.
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Volna, Eva, Martin Kotyrba, and Robert Jarusek. "Multi-classifier based on Elliott wave’s recognition." Computers & Mathematics with Applications 66, no. 2 (2013): 213–25. http://dx.doi.org/10.1016/j.camwa.2013.01.012.

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P.M., Balasubramaniam, Arivoli S, and Prabhakaran N. "Performance of Signal Strength prediction in Data transmission Using Elliott wave Theory." International Journal of Computer Communication and Informatics 2, no. 1 (2020): 62–69. http://dx.doi.org/10.34256/ijcci2017.

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The article describes an algorithm for predicting the future signals with the aid of past signal samples. In the real signal processing environment, the amplitude and unsystematic in phase signal are lead to more complex to estimation the signal, thereby, customer service is enhanced by forecast. The forecast of financial marketplace are usually done by means of Elliot wave theory. In this article possibility and applicability survey of the EW Theory is proposed in the paper towards the power of the signal forecast. In nature, the EW theory has free declining environment, and also uncomfortable based on the customer and base station and height of the antenna. The proposed algorithm has tested in real life conditions, considering both, the pedestrian persons and the people travelling at 60 Km/Hr. Consequently, the predicted result incorporates the practical signal strength based on increasing distribution utility, signal to intervention noise ratio (SNR) and instability at their subsequent time. The end result of the algorithm shows 68% of successful prediction.
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Tabar, Saeed, Sushil Sharma, and David Volkman. "Stock Market Prediction Using Elliot Wave Theory and Classification." International Journal of Business Analytics 8, no. 1 (2021): 1–20. http://dx.doi.org/10.4018/ijban.2021010101.

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The area of stock market prediction has attracted a great deal of attention during the past decade especially after multiple market crashes. By analyzing market price fluctuations, we can achieve valuable insight regarding future trends. This research proposes a novel method for prediction using pattern analysis and classification. For the first part of the research, a trend analysis algorithm, Elliot wave theory, is used to classify price patterns for DJIA, S&P500, and NASDAQ into three categories: LONG, SHORT, and HOLD. After labeling patterns, classification learning algorithms including decision tree, naïve Bayes, and support vector machine (SVM) are used to learn from the patterns and make a prediction for the future. The algorithm is implemented during the market crashes of May 2010 and August 2015, and the obtained results show that it correctly identifies the market volatility by issuing HOLD and SHORT signals during those crashes.
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Bradic-Martinovic, Aleksandra. "Stock market prediction using technical analysis." Ekonomski anali 51, no. 170 (2006): 125–46. http://dx.doi.org/10.2298/eka0670125b.

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Technical analysis (TA) is a form of analyzing market encompassing supply and demand of securities according to the study of their prices and trading volume. Using the appropriate methods, TA aims to identify price movements in the stock market, futures or currencies. In short, TA analysis is the process by which "future price movements are formulated according to the price history". TA originates from the work of Charles Dow and his conclusions about the global behavior of the market, as well as from Elliot Wave Theory. Dow did not regard its theory as a tool for stock market movement prediction, nor as a guide for investors, but as a kind of barometer of general market movements. The term TA methods encompasses all the methods used in tracking prices aiming to clearly predict future events. Many different methods, mainly statistical, are used in technical analysis, the most popular ones being: establishing and following trends using moving average, recognizing price momentum, calculating indicators and oscillators, as well as cycle analysis (structure indicators). It is also necessary to point out that TA is not a science in the true meaning of the term, and that methods it uses frequently deviate from the conventional manner of their use. The main advantage of these methods is their relative ease of use, aiming to give as clear picture as possible of price movements, while at the same time avoiding the use of complicated and complex mathematical methods. The reason for this is simple and is reflected in the dynamics of financial markets, where changes occur during short periods of time and where prompt decision-making is of vital importance.
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Zhou, Tianbao, Xinghao Li, and Peng Wang. "Statistics and Practice on the Trend’s Reversal and Turning Points of Chinese Stock Indices Based on Gann’s Time Theory and Solar Terms Effect." Mathematics 9, no. 15 (2021): 1713. http://dx.doi.org/10.3390/math9151713.

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Despite the future price of individual stocks has long been proved to be unpredictable and irregular according to the EMH, the turning points (or the reversal) of the stock indices trend still remain the rules to follow. Therefore, this study mainly aimed to provide investors with new strategies in buying ETFs of the indices, which not only avoided the instability of individual stocks, but were also able to get a high profit within weeks. Famous theories like Gann theory and the Elliott wave theory suggest that as part of the nature, market regulations and economic activities of human beings shall conform to the laws of nature and the operation of the universe. They further refined only the rules related to specific timepoints and the time cycle rather than the traditional analysis of the complex economic and social factors, which is, to some extent, similar to what the Chinese traditional culture proposes: that every impact on and change in the human society is always attributable to changes in the nature. The study found that the turns of the stock indices trend were inevitable at specific timepoints while the strength and intensity of the turns were uncertain, affected by various factors by then, which meant the market was intertwined with both certainty and uncertainty at the same time. The analysis was based on the data of the Shanghai Index, the Second Board Index and the Shenzhen Index, the three major indices that represent almost all aspects of the Chinese stock market, for the past decades. It could effectively reduce the heteroscedasticity, instability and irregularity of time series models by replacing 250 daily high-frequency data with the extreme points near every twenty-four solar terms per year. The forecasts focusing on the future stock trend of the all-solar-terms group and the eight-solar-terms group were proved accurate. What is more, the indices trend was at a high probability to turn in a range of four days at each solar term. The alert period also provided the readers with a practical example of how it works in the real investment environment.
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Burns, Alex. "Select Issues with New Media Theories of Citizen Journalism." M/C Journal 10, no. 6 (2008). http://dx.doi.org/10.5204/mcj.2723.

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 “Journalists have to begin a new type of journalism, sometimes being the guide on the side of the civic conversation as well as the filter and gatekeeper.” (Kolodzy 218) “In many respects, citizen journalism is simply public journalism removed from the journalism profession.” (Barlow 181) 1. Citizen Journalism — The Latest Innovation? New Media theorists such as Dan Gillmor, Henry Jenkins, Jay Rosen and Jeff Howe have recently touted Citizen Journalism (CJ) as the latest innovation in 21st century journalism. “Participatory journalism” and “user-driven journalism” are other terms to describe CJ, which its proponents argue is a disruptive innovation (Christensen) to the agenda-setting media institutions, news values and “objective” reportage. In this essay I offer a “contrarian” view, informed by two perspectives: (1) a three-stage model of theory-building (Carlile & Christensen) to evaluate the claims made about CJ; and (2) self-reflexive research insights (Etherington) from editing the US-based news site Disinformation between November 1999 and February 2008. New media theories can potentially create “cognitive dissonance” (Festinger) when their explanations of CJ practices are compared with what actually happens (Feyerabend). First I summarise Carlile & Christensen’s model and the dangers of “bad theory” (Ghoshal). Next I consider several problems in new media theories about CJ: the notion of ‘citizen’, new media populism, parallels in event-driven and civic journalism, and mergers and acquisitions. Two ‘self-reflexive’ issues are considered: ‘pro-ams’ or ‘professional amateurs’ as a challenge to professional journalists, and CJ’s deployment in new media operations and production environments. Finally, some exploratory questions are offered for future researchers. 2. An Evaluative Framework for New Media Theories on Citizen Journalism Paul Carlile and Clayton M. Christensen’s model offers one framework with which to evaluate new media theories on CJ. This framework is used below to highlight select issues and gaps in CJ’s current frameworks and theories. Carlile & Christensen suggest that robust theory-building emerges via three stages: Descriptive, Categorisation and Normative (Carlile & Christensen). There are three sub-stages in Descriptive theory-building; namely, the observation of phenomena, inductive classification into schemas and taxonomies, and correlative relationships to develop models (Carlile & Christensen 2-5). Once causation is established, Normative theory evolves through deductive logic which is subject to Kuhnian paradigm shifts and Popperian falsifiability (Carlile & Christensen 6). Its proponents situate CJ as a Categorisation or new journalism agenda that poses a Normative challenged and Kuhnian paradigm shift to traditional journalism. Existing CJ theories jump from the Descriptive phase of observations like “smart mobs” in Japanese youth subcultures (Rheingold) to make broad claims for Categorisation such as that IndyMedia, blogs and wiki publishing systems as new media alternatives to traditional media. CJ theories then underpin normative beliefs, values and worldviews. Correlative relationships are also used to differentiate CJ from the demand side of microeconomic analysis, from the top-down editorial models of traditional media outlets, and to adopt a vanguard stance. To support this, CJ proponents cite research on emergent collective behaviour such as the “wisdom of crowds” hypothesis (Surowiecki) or peer-to-peer network “swarms” (Pesce) to provide scientific justification for their Normative theories. However, further evaluative research is needed for three reasons: the emergent collective behaviour hypothesis may not actually inform CJ practices, existing theories may have “correlation not cause” errors, and the link may be due to citation network effects between CJ theorists. Collectively, this research base also frames CJ as an “ought to” Categorisation and then proceeds to Normative theory-building (Carlile & Christensen 7). However, I argue below that this Categorisation may be premature: its observations and correlative relationships might reinforce a ‘weak’ Normative theory with limited generalisation. CJ proponents seem to imply that it can be applied anywhere and under any condition—a “statement of causality” that almost makes it a fad (Carlile & Christensen 8). CJ that relies on Classification and Normative claims will be problematic without a strong grounding in Descriptive observation. To understand what’s potentially at stake for CJ’s future consider the consider the parallel debate about curricula renewal for the Masters of Business Administration in the wake of high-profile corporate collapses such as Enron, Worldcom, HIH and OneTel. The MBA evolved as a sociological and institutional construct to justify management as a profession that is codified, differentiated and has entry barriers (Khurana). This process might partly explain the pushback that some media professionals have to CJ as one alternative. MBA programs faced criticism if they had student cohorts with little business know-how or experiential learning (Mintzberg). Enron’s collapse illustrated the ethical dilemmas and unintended consequences that occurred when “bad theories” were implemented (Ghoshal). Professional journalists are aware of this: MBA-educated managers challenged the “craft” tradition in the early 1980s (Underwood). This meant that journalism’s ‘self-image’ (Morgan; Smith) is intertwined with managerial anxieties about media conglomerates in highly competitive markets. Ironically, as noted below, Citizen Journalists who adopt a vanguard position vis-a-vis media professionals step into a more complex game with other players. However, current theories have a naïve idealism about CJ’s promise of normative social change in the face of Machiavellian agency in business, the media and politics. 3. Citizen Who? Who is the “citizen” in CJ? What is their self-awareness as a political agent? CJ proponents who use the ‘self-image’ of ‘citizen’ draw on observations from the participatory vision of open source software, peer-to-peer networks, and case studies such as Howard Dean’s 2004 bid for the Democrat Party nominee in the US Presidential election campaign (Trippi). Recent theorists note Alexander Hamilton’s tradition of civic activism (Barlow 178) which links contemporary bloggers with the Federalist Papers and early newspaper pamphlets. One unsurfaced assumption in these observations and correlations is that most bloggers will adopt a coherent political philosophy as informed citizens: a variation on Lockean utilitarianism, Rawlsian liberalism or Nader consumer activism. To date there is little discussion about how political philosophy could deepen CJ’s ‘self-image’: how to critically evaluate sources, audit and investigation processes, or strategies to deal with elites, deterrence and power. For example, although bloggers kept Valerie Plame’s ‘outing’ as a covert intelligence operative highly visible in the issues-attention cycle, it was agenda-setting media like The New York Times who the Bush Administration targeted to silence (Pearlstine). To be viable, CJ needs to evolve beyond a new media populism, perhaps into a constructivist model of agency, norms and social change (Finnemore). 4. Citizen Journalism as New Media Populism Several “precursor trends” foreshadowed CJ notably the mid-1990s interest in “cool-hunting” by new media analysts and subculture marketeers (Gibson; Gladwell). Whilst this audience focus waned with the 1995-2000 dotcom bubble it resurfaced in CJ and publisher Tim O’Reilly’s Web 2.0 vision. Thus, CJ might be viewed as new media populism that has flourished with the Web 2.0 boom. Yet if the boom becomes a macroeconomic bubble (Gross; Spar) then CJ could be written off as a “silver bullet” that ultimately failed to deliver on its promises (Brooks, Jr.). The reputations of uncritical proponents who adopted a “true believer” stance would also be damaged (Hoffer). This risk is evident if CJ is compared with a parallel trend that shares its audience focus and populist view: day traders and technical analysts who speculate on financial markets. This parallel trend provides an alternative discipline in which the populism surfaced in an earlier form (Carlile & Christensen 12). Fidelity’s Peter Lynch argues that stock pickers can use their Main Street knowledge to beat Wall Street by exploiting information asymmetries (Lynch & Rothchild). Yet Lynch’s examples came from the mid-1970s to early 1980s when indexed mutual fund strategies worked, before deregulation and macroeconomic volatility. A change in the Web 2.0 boom might similarly trigger a reconsideration of Citizen Journalism. Hedge fund maven Victor Niederhoffer contends that investors who rely on technical analysis are practicing a Comtean religion (Niederhoffer & Kenner 72-74) instead of Efficient Market Hypothesis traders who use statistical arbitrage to deal with ‘random walks’ or Behavioural Finance experts who build on Amos Tversky and Daniel Kahneman’s Prospect Theory (Kahneman & Tversky). Niederhoffer’s deeper point is that technical analysts’ belief that the “trend is your friend” is no match for the other schools, despite a mini-publishing industry and computer trading systems. There are also ontological and epistemological differences between the schools. Similarly, CJ proponents who adopt a ‘Professional Amateur’ or ‘Pro-Am’ stance (Leadbeater & Miller) may face a similar gulf when making comparisons with professional journalists and the production environments in media organisations. CJ also thrives as new media populism because of institutional vested interests. When media conglomerates cut back on cadetships and internships CJ might fill the market demand as one alternative. New media programs at New York University and others can use CJ to differentiate themselves from “hyperlocal” competitors (Christensen; Slywotzky; Christensen, Curtis & Horn). This transforms CJ from new media populism to new media institution. 5. Parallels: Event-driven & Civic Journalism For new media programs, CJ builds on two earlier traditions: the Event-driven journalism of crises like the 1991 Gulf War (Wark) and the Civic Journalism school that emerged in the 1960s social upheavals. Civic Journalism’s awareness of minorities and social issues provides the character ethic and political philosophy for many Citizen Journalists. Jay Rosen and others suggest that CJ is the next-generation heir to Civic Journalism, tracing a thread from the 1968 Chicago Democratic Convention to IndyMedia’s coverage of the 1999 “Battle in Seattle” (Rosen). Rosen’s observation could yield an interesting historiography or genealogy. Events such as the Southeast Asian tsunami on 26 December 2004 or Al Qaeda’s London bombings on 7 July 2005 are cited as examples of CJ as event-driven journalism and “pro-am collaboration” (Kolodzy 229-230). Having covered these events and Al Qaeda’s attacks on 11th September 2001, I have a slightly different view: this was more a variation on “first responder” status and handicam video footage that journalists have sourced for the past three decades when covering major disasters. This different view means that the “salience of categories” used to justify CJ and “pro-am collaboration” these events does not completely hold. Furthermore, when Citizen Journalism proponents tout Flickr and Wikipedia as models of real-time media they are building on a broader phenomenon that includes CNN’s Gulf War coverage and Bloomberg’s dominance of financial news (Loomis). 6. The Mergers & Acquisitions Scenario CJ proponents often express anxieties about the resilience of their outlets in the face of predatory venture capital firms who initiate Mergers & Acquisitions (M&A) activities. Ironically, these venture capital firms have core competencies and expertise in the event-driven infrastructure and real-time media that CJ aspires to. Sequoia Capital and other venture capital firms have evaluative frameworks that likely surpass Carlile & Christensen in sophistication, and they exploit parallels, information asymmetries and market populism. Furthermore, although venture capital firms such as Union Street Ventures have funded Web 2.0 firms, they are absent from the explanations of some theorists, whose examples of Citizen Journalism and Web 2.0 success may be the result of survivorship bias. Thus, the venture capital market remains an untapped data source for researchers who want to evaluate the impact of CJ outlets and institutions. The M&A scenario further problematises CJ in several ways. First, CJ is framed as “oppositional” to traditional media, yet this may be used as a stratagem in a game theory framework with multiple stakeholders. Drexel Burnham Lambert’s financier Michael Milken used market populism to sell ‘high-yield’ or ‘junk’ bonds to investors whilst disrupting the Wall Street establishment in the late 1980s (Curtis) and CJ could fulfil a similar tactical purpose. Second, the M&A goal of some Web 2.0 firms could undermine the participatory goals of a site’s community if post-merger integration fails. Jason Calacanis’s sale of Weblogs, Inc to America Online in 2005 and MSNBC’s acquisition of Newsvine on 5 October 2007 (Newsvine) might be success stories. However, this raises issues of digital “property rights” if you contribute to a community that is then sold in an M&A transaction—an outcome closer to business process outsourcing. Third, media “buzz” can create an unrealistic vision when a CJ site fails to grow beyond its start-up phase. Backfence.com’s demise as a “hyperlocal” initiative (Caverly) is one cautionary event that recalls the 2000 dotcom crash. The M&A scenarios outlined above are market dystopias for CJ purists. The major lesson for CJ proponents is to include other market players in hypotheses about causation and correlation factors. 7. ‘Pro-Ams’ & Professional Journalism’s Crisis CJ emerged during a period when Professional Journalism faced a major crisis of ‘self-image’. The Demos report The Pro-Am Revolution (Leadbeater & Miller) popularised the notion of ‘professional amateurs’ which some CJ theorists adopt to strengthen their categorisation. In turn, this triggers a response from cultural theorists who fear bloggers are new media’s barbarians (Keen). I concede Leadbeater and Miller have identified an important category. However, how some CJ theorists then generalise from ‘Pro-Ams’ illustrates the danger of ‘weak’ theory referred to above. Leadbeater and Miller’s categorisation does not really include a counter-view on the strengths of professionals, as illustrated in humanistic consulting (Block), professional service firms (Maister; Maister, Green & Galford), and software development (McConnell). The signs of professionalism these authors mention include a commitment to learning and communal verification, mastery of a discipline and domain application, awareness of methodology creation, participation in mentoring, and cultivation of ethical awareness. Two key differences are discernment and quality of attention, as illustrated in how the legendary Hollywood film editor Walter Murch used Apple’s Final Cut Pro software to edit the 2003 film Cold Mountain (Koppelman). ‘Pro-Ams’ might not aspire to these criteria but Citizen Journalists shouldn’t throw out these standards, either. Doing so would be making the same mistake of overconfidence that technical analysts make against statistical arbitrageurs. Key processes—fact-checking, sub-editing and editorial decision-making—are invisible to the end-user, even if traceable in a blog or wiki publishing system, because of the judgments involved. One post-mortem insight from Assignment Zero was that these processes were vital to create the climate of authenticity and trust to sustain a Citizen Journalist community (Howe). CJ’s trouble with “objectivity” might also overlook some complexities, including the similarity of many bloggers to “noise traders” in financial markets and to op-ed columnists. Methodologies and reportage practices have evolved to deal with the objections that CJ proponents raise, from New Journalism’s radical subjectivity and creative non-fiction techniques (Wolfe & Johnson) to Precision Journalism that used descriptive statistics (Meyer). Finally, journalism frameworks could be updated with current research on how phenomenological awareness shapes our judgments and perceptions (Thompson). 8. Strategic Execution For me, one of CJ’s major weaknesses as a new media theory is its lack of “rich description” (Geertz) about the strategic execution of projects. As Disinfo.com site editor I encountered situations ranging from ‘denial of service’ attacks and spam to site migration, publishing systems that go offline, and ensuring an editorial consistency. Yet the messiness of these processes is missing from CJ theories and accounts. Theories that included this detail as “second-order interactions” (Carlile & Christensen 13) would offer a richer view of CJ. Many CJ and Web 2.0 projects fall into the categories of mini-projects, demonstration prototypes and start-ups, even when using a programming language such as Ajax or Ruby on Rails. Whilst the “bootstrap” process is a benefit, more longitudinal analysis and testing needs to occur, to ensure these projects are scalable and sustainable. For example, South Korea’s OhmyNews is cited as an exemplar that started with “727 citizen reporters and 4 editors” and now has “38,000 citizen reporters” and “a dozen editors” (Kolodzy 231). How does OhmyNews’s mix of hard and soft news change over time? Or, how does OhmyNews deal with a complex issue that might require major resources, such as security negotiations between North and South Korea? Such examples could do with further research. We need to go beyond “the vision thing” and look at the messiness of execution for deeper observations and counterintuitive correlations, to build new descriptive theories. 9. Future Research This essay argues that CJ needs re-evaluation. Its immediate legacy might be to splinter ‘journalism’ into micro-trends: Washington University’s Steve Boriss proclaims “citizen journalism is dead. Expert journalism is the future.” (Boriss; Mensching). The half-lives of such micro-trends demand new categorisations, which in turn prematurely feeds the theory-building cycle. Instead, future researchers could reinvigorate 21st century journalism if they ask deeper questions and return to the observation stage of building descriptive theories. In closing, below are some possible questions that future researchers might explore: Where are the “rich descriptions” of journalistic experience—“citizen”, “convergent”, “digital”, “Pro-Am” or otherwise in new media? How could practice-based approaches inform this research instead of relying on espoused theories-in-use? What new methodologies could be developed for CJ implementation? What role can the “heroic” individual reporter or editor have in “the swarm”? Do the claims about OhmyNews and other sites stand up to longitudinal observation? Are the theories used to justify Citizen Journalism’s normative stance (Rheingold; Surowiecki; Pesce) truly robust generalisations for strategic execution or do they reflect the biases of their creators? How could developers tap the conceptual dimensions of information technology innovation (Shasha) to create the next Facebook, MySpace or Wikipedia? References Argyris, Chris, and Donald Schon. Theory in Practice. San Francisco: Jossey-Bass Publishers, 1976. Barlow, Aaron. The Rise of the Blogosphere. Westport, CN: Praeger Publishers, 2007. Block, Peter. Flawless Consulting. 2nd ed. San Francisco, CA: Jossey-Bass/Pfeiffer, 2000. Boriss, Steve. “Citizen Journalism Is Dead. Expert Journalism Is the Future.” The Future of News. 28 Nov. 2007. 20 Feb. 2008 http://thefutureofnews.com/2007/11/28/citizen-journalism-is-dead- expert-journalism-is-the-future/>. Brooks, Jr., Frederick P. The Mythical Man-Month: Essays on Software Engineering. Rev. ed. Reading, MA: Addison-Wesley Publishing Company, 1995. Campbell, Vincent. Information Age Journalism: Journalism in an International Context. New York: Arnold, 2004. Carlile, Paul R., and Clayton M. Christensen. “The Cycles of Building Theory in Management Research.” Innosight working paper draft 6. 6 Jan. 2005. 19 Feb. 2008 http://www.innosight.com/documents/Theory%20Building.pdf>. Caverly, Doug. “Hyperlocal News Site Takes A Hit.” WebProNews.com 6 July 2007. 19 Feb. 2008 http://www.webpronews.com/topnews/2007/07/06/hyperlocal-news- sites-take-a-hit>. Chenoweth, Neil. Virtual Murdoch: Reality Wars on the Information Superhighway. Sydney: Random House Australia, 2001. Christensen, Clayton M. The Innovator’s Dilemma: When New Technologies Cause Great Firms to Fail. Boston, MA: Harvard Business School Press, 1997. Christensen, Clayton M., Curtis Johnson, and Michael Horn. Disrupting Class: How Disruptive Innovation Will Change the Way the World Learns. New York: McGraw-Hill, 2008. Curtis, Adam. The Mayfair Set. London: British Broadcasting Corporation, 1999. Etherington, Kim. Becoming a Reflexive Researcher: Using Ourselves in Research. London: Jessica Kingsley Publishers, 2004. Festinger, Leon. A Theory of Cognitive Dissonance. Stanford, CA: Stanford University Press, 1962. Feyerabend, Paul. Against Method. 3rd ed. London: Verso, 1993. Finnemore, Martha. National Interests in International Society. Ithaca, NY: Cornell University Press, 1996. Geertz, Clifford. The Interpretation of Cultures. New York: Basic Books, 1973. Ghoshal, Sumantra. “Bad Management Theories Are Destroying Good Management Practices.” Academy of Management Learning & Education 4.1 (2005): 75-91. Gibson, William. Pattern Recognition. London: Viking, 2003. Gladwell, Malcolm. “The Cool-Hunt.” The New Yorker Magazine 17 March 1997. 20 Feb. 2008 http://www.gladwell.com/1997/1997_03_17_a_cool.htm>. Gross, Daniel. Pop! Why Bubbles Are Great for the Economy. New York: Collins, 2007. Hoffer, Eric. 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Dissertations / Theses on the topic "Elliott Waves Theory"

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Medeiros, Augusto Santana Veras de. "Análise técnica: um estudo empírico à luz das finanças comportamentais." Universidade Federal da Paraí­ba, 2009. http://tede.biblioteca.ufpb.br:8080/handle/tede/4986.

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Made available in DSpace on 2015-05-08T14:44:47Z (GMT). No. of bitstreams: 1 arquivototal.pdf: 1401888 bytes, checksum: b42ad9ebc33bc9b9e8aa504e4476c14e (MD5) Previous issue date: 2009-04-30<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>This work deepens the discussion in the Technical Analysis field, aligning it premises to the theoretical framework of Behavioral Finance. In this purpose, this paper aimed to make, for the period between the years of 2007 and 2008, an empirical study of the brazilian stock market in the light of Technical Analysis and Behavioral Finance, as well as verifying the performance of technical index as auxiliary instrument for the decision taking. This way, the work is divided in two parts. In the first part, adopting the complementarity hypothesis of behavioral-technique approach in the process of analysis and taking of decision in the stock market, is aimed to establish a relation between Technical Analysis (Dow Theory and Elliott Waves Theory) and Behavioral Finance assumptions in the interpretation of the subprime crisis in the Brazilian stock market, through a documentary research with referring information of the years 2007 and 2008, crisis development period. The results had evidenced the utility of these theories, not only for the analysis of the subprime crisis consequences, as, also, for the examination of financial market agent s behavior in a historical perspective of larger reach. In the second part, adopting the hypothesis that the technical index are capable to assist the investors in the process of decision taking, had been refined the performances of the Exponential Moving Average, Moving Average Convergence/Divergence, Relative Force Index, Stochastic and Directional System, using as base, Brazilian s stock market data referring to the year of 2007. The research results demonstrated that the Assertiveness (A) of the purchase signals is superior to the Assertiveness (A) of the sales signals the results had demonstrated as well, the uselessness of Directional System (DS) as beeper of the market s predominant trend.<br>Este trabalho aprofunda a discussão no campo de estudos da Análise Técnica, alinhando suas premissas ao arcabouço teórico das Finanças Comportamentais. Neste intuito buscou-se realizar, para o período compreendido entre os anos de 2007 e 2008, um estudo empírico do mercado brasileiro de ações à luz da Análise Técnica e das Finanças Comportamentais, bem como verificar o desempenho de indicadores técnicos como instrumento auxiliar para a tomada de decisão. Desta forma, o trabalho encontra-se dividido em duas partes. Na primeira parte, adotando a hipótese de complementaridade das abordagens técnica-comportamental no processo de análise e tomada de decisão no mercado de ações, busca-se estabelecer uma relação entre os pressupostos da Análise Técnica (Teoria Dow e Teoria da Ondas de Elliott) e das Finanças Comportamentais na interpretação da crise subprime no mercado de ações brasileiro, através de uma pesquisa documental com informações referentes aos anos de 2007 e 2008, período de desenvolvimento da crise. Os resultados evidenciaram a utilidade destas teorias, não só para a análise dos reflexos da crise subprime, como, também, para o exame do comportamento dos agentes do mercado financeiro numa perspectiva histórica de maior alcance. Na segunda parte, adotando a hipótese de que os indicadores técnicos são capazes de auxiliar os investidores no processo de tomada de decisão, foram apurados os desempenhos dos indicadores Média Móvel Exponencial, Convergência/Divergência da Média Móvel, Índice de Força Relativa, Estocástico e Sistema Direcional, tomando como base dados do mercado de ações brasileiro referentes ao ano de 2007. Os resultados encontrados demonstraram que a Assertividade (A) dos sinais de compra é superior à Assertividade (A) dos sinais de venda, bem como apontaram a inutilidade do Sistema Direcional (SD) enquanto sinalizador da tendência predominante do mercado.
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Volný, Miloš. "Využití umělé inteligence jako podpory pro rozhodování v podniku." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2019. http://www.nusl.cz/ntk/nusl-399447.

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This thesis is concerned with future trend prediction on capital markets on the basis of neural networks. Usage of convolutional and recurrent neural networks, Elliott wave theory and scalograms for capital market's future trend prediction is discussed. The aim of this thesis is to propose a novel approach to future trend prediction based on Elliott's wave theory. The proposed approach will be based on the principle of classification of chosen patterns from Elliott's theory by the way of convolutional neural network. To this end scalograms of the chosen Elliott patterns will be created through application of continuous wavelet transform on parts of historical time series of price for chosen stocks.
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Belmont, Daniele Ferreira de Sousa. "Teoria das ondas de elliott: uma aplicação ao mercado de ações da bm&fbovespa." Universidade Federal da Paraí­ba, 2010. http://tede.biblioteca.ufpb.br:8080/handle/tede/5048.

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Made available in DSpace on 2015-05-08T14:45:04Z (GMT). No. of bitstreams: 1 arquivototal.pdf: 1848162 bytes, checksum: 8d8c6d6ea96038f73be05f042425a488 (MD5) Previous issue date: 2010-09-17<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>The prices of securities traded on stock exchanges, as well as any other commodity in the financial market fluctuate naturally with the demand for these products. These oscillations, along with the asymmetry of information about the prices of these products generate volatility processes. Charles Dow in the early twentieth century created sector indexes, in which papers met the same area of activity, according to him, several indicators point to the same direction would be a sign that this really would be a tendency to drive the market, thus characterizing the Dow Theory. Ralph Nelson Elliott (1871-1948) studied the average prices of the Dow Jones Industrial and realized repetitions in the market changes, their observations were summarized in what became known as "The Wave Principle." Elliott developed his theory based on so-called Fibonacci sequence, discovered by Leonardo Pizza (Fibonacci) around 1200. In addition to the Dow Theory and the Theory of waves in this work was done using the Theory of Rationality of the agents as a complementary way to explain the decision process of investors, as happens in situations of uncertainty. A rational decision involves selecting the choice which has the largest expected return for a given level of risk.<br>Os preços dos ativos negociados em bolsas de valores, assim como qualquer outro tipo de commodity do mercado financeiro, oscilam naturalmente com a procura por esses produtos. Essas oscilações, juntamente com a assimetria das informações acerca dos preços desses produtos geram processos de volatilidade. Charles Dow, no início do século XX criou índices setoriais, nos quais reunia papéis da mesma área de atividade, segundo ele, se vários índices apontassem para a mesma direção seria um sinal de que realmente essa seria uma tendência de movimentação do mercado, caracterizando assim a Teoria de Dow. Ralph Nelson Elliott (1871-1948) estudou as cotações médias dos índices Dow Jones Industrial e percebeu repetições nas alterações do mercado, suas observações foram resumidas no que ficou conhecido como O Princípio da Onda . Elliott desenvolveu a sua teoria com base na denominada Sequência de Fibonacci, descoberta por Leonardo de Pizza (Fibonacci) por volta de 1200. Além da Teoria de Dow e da Teoria das Ondas, nesse trabalho, fez-se uso da Teoria da Racionalidade dos agentes como uma forma complementar para se explicar o processo de decisão dos investidores, dado que acontecem em situações de incerteza. Uma decisão racional implica em selecionar a escolha que apresente o maior retorno esperado para um dado nível de risco.
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Loukotková, Veronika. "Aplikace teorie chaosu na Elliottovy vlny." Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2012. http://www.nusl.cz/ntk/nusl-232670.

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This diploma thesis compares chaos theory with Elliott wave theory in order to find out whether there is an agreement in the area of prediction. Such formulation of main problem is considered original, new and pioneering issue. By solving an indirect problem of deterministic chaos, existence of the chaos was not proved in a respective time series. The possibility to predict future development of this time series in a short-term period was considered impossible with respect of chaos theory results. Nevertheless, subsequent prediction that used Elliott wave theory showed to be precise. Finally, agreement of both theories was not confirmed. The diploma thesis proved that knowledge of Elliott wave theory and ability to interpret it correctly is a valuable means of prediction.
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Polaková, Soňa. "Aplikace neuronových sítí a Elliotových vln na vybraný vzorek akcií." Master's thesis, Vysoká škola ekonomická v Praze, 2009. http://www.nusl.cz/ntk/nusl-17053.

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Using modern methods of share quotations forecasting is the main goal of this thesis. The special accent is placed on forecasting the trend by means of artificial neural network especially on the optimalization of variables in the training process. Elliot's wave theory is applied in the second part of the thesis, particularly on prediction of future share quotation progress. Buying or selling signal generated by these two methods is consequently compared with ex-post signal yielding a profit. Lastly, successfulness of using these methods for forecasting at stock market is evaluated.
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Pintan, Marcio Alvarez. "Operações de day trading na BM&F BOVESPA: avaliação de uma técnica de otimização de resultados." reponame:Repositório Institucional do FGV, 2018. http://hdl.handle.net/10438/24564.

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Submitted by Marcio Pintan (mpintan@gmail.com) on 2018-06-25T18:13:19Z No. of bitstreams: 1 financas-pintan-dissertação versao final.pdf: 1855884 bytes, checksum: 0ac7f69afc81d4cea8446f01d309fd99 (MD5)<br>Approved for entry into archive by Mayara Costa de Sousa (mayara.sousa@fgv.br) on 2018-08-13T16:18:19Z (GMT) No. of bitstreams: 1 financas-pintan-dissertação versao final.pdf: 1855884 bytes, checksum: 0ac7f69afc81d4cea8446f01d309fd99 (MD5)<br>Approved for entry into archive by Suzane Guimarães (suzane.guimaraes@fgv.br) on 2018-08-13T16:25:32Z (GMT) No. of bitstreams: 1 financas-pintan-dissertação versao final.pdf: 1855884 bytes, checksum: 0ac7f69afc81d4cea8446f01d309fd99 (MD5)<br>Made available in DSpace on 2018-08-13T16:25:32Z (GMT). No. of bitstreams: 1 financas-pintan-dissertação versao final.pdf: 1855884 bytes, checksum: 0ac7f69afc81d4cea8446f01d309fd99 (MD5) Previous issue date: 2018-05-25<br>Esta dissertação trata das operações realizadas na BM&F BOVESPA chamadas comumente de 'Day Trading', ou seja, operações cuja compra (ou venda) e a liquidação são realizadas no mesmo dia. Tal questão é relevante, principalmente para o pequeno investidor, por possibilitar a otimização do resultado da sua carteira de investimento ao longo do tempo. O objetivo de pesquisa deste trabalho é apresentar e testar algumas técnicas utilizadas pelos operadores do mercado financeiro na modalidade 'Day Trading'. Em conjunto com a verificação das teorias de análise gráfica, o trabalho pretende conciliar tais técnicas preditivas com teorias de gestão de risco e de gestão de portfólio, nesse caso mais precisamente a teoria moderna de portfólio de Markowitz, de forma a testar a eficiência da combinação entre essas teorias no mercado de ações brasileiro, e se existe a possibilidade de otimização dos resultados que um investidor pode alcançar ao longo do tempo. Para atingir este objetivo foi realizada uma pesquisa quantitativa utilizando técnicas de análise gráfica baseadas em teorias amplamente conhecidas no mercado de capitais, como os Princípios de Ondas de Elliott e a Teoria de Dow. A partir dos indicadores de sucesso obtidos por essas técnicas preditivas (através de 'backtests'), o presente trabalho testa a efetividade das questões relativas a eficiência de mercado apresentadas nas Hipótese de Mercados Eficientes de Fama (1970). As principais conclusões desta dissertação sugerem que uma estratégia passiva, de compra e manutenção do Índice Bovespa, domina respectivamente estratégias baseadas na Teoria de Markowitz e estratégias ativas de Day Trading baseadas em análise técnica. Os resultados trazem uma grande contribuição para o pequeno investidor através de uma maior compreensão sobre possibilidades que as operações de curto prazo podem trazer para ao seu portfólio de investimentos e confirma a visão de que o mercado de ações brasileiro é eficiente em sua forma fraca.<br>This thesis deals with operations carried out on BM&F BOVESPA commonly called 'Day Trading', which are operations whose purchase (or sale) and settlement are carried out on the same day. This issue is relevant, especially for the small investor, because it allows the optimization of the result of their investment portfolio over time. The objective of this research is to present and test some techniques used by financial market traders in the 'Day Trading' modality. In conjunction with the verification of theories of technical analysis, the paper aims to reconcile such predictive techniques with theories of risk management and portfolio management, in this case more precisely the Modern Portfolio Theory of Markowitz, in order to test the efficiency of the combination between these theories in the Brazilian stock market, and whether there is a possibility of optimizing the results that an investor can achieve over time. To achieve this goal a quantitative research is performed using graphical analysis techniques based on theories widely known in the capital market, such as the Elliott Wave Principle and the Dow Theory. From the indicators of success obtained by these predictive techniques (through backtests), the present research explores aspects of market efficiency presented in the Efficient Market Hypothesis of Fama (1970). The main conclusions of this dissertation suggest that a passive buy and hold strategy of the Bovespa Index dominates respectively strategies based on Markowitz Theory and active day trading strategies based on technical analysis. The results make a contribution to the small investor through a better understanding of the possibilities that short-term operations can bring to their investment portfolios and confirms the view that the Brazilian stock market is efficient in its weak form.
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陳儒琦. "The Research on Taiwan Stock Trends Based on Elliott Wave Theory." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/76987968351980079309.

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碩士<br>國立交通大學<br>資訊管理研究所<br>98<br>This study attempt to find the stock price trend based on the rule-based wave theory. As we review technical analysis of the recent study, found that most research emphasize the technical indicators, but few used stock price patterns as the basis for trend analysis. Elliott Wave Theory is one of the most important theories which stresses the stock price variation with certain regularity and consists eight-wave combination to complete stock market cycle. Therefore, if the entire stock market trend could be effectively expressed by those waves combination, investors could get higher returns and lower risks as long as can catch the trend pattern. This study is based on Hung’s N-wave technical indicator(2009), and further tries to improve the accuracy by verifying the method of extracting N-shaped wave. In addition, we redefine the variables to improve the model’s efficiency, and then use fewer variables to achieve the better results. In this study, the data are collected from daily TAIEX between 7th Feb.1987 to 6th Feb. 2009. This study performed two experiments: the first experiment is to compare the method of extracting N-type waves between our method and Hung’s. The result shows that our method which employed Elliott Wave characteristic rules are better, both on accuracy and profitability. The second experiment is to compare the result of our methodology and Hung’s. We conclude that we only use 26 parameters (Hung used 58 parameters) can be describe the N-type wave, and accuracy and profitability in both of which have shown superior.
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Bisset, Craig, and 奎瑞格. "Forecasting Oil Price Movements:The Efficient Market Hypothesis, Elliot Wave Theory Comparison." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/51302883764959157112.

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碩士<br>國立成功大學<br>國際管理碩士在職專班<br>97<br>Two theories are compared, Efficient Market Hypothesis (EMH) and Elliot Wave Theory (EWT), using qualitative analysis in the form of a direct comparison and technical analysis in the form of chart analysis. Classical economic theory and its leading proponent Efficient Market Hypothesis EMH represent the status quo and the idea of rational decision making in financial markets, while Elliot Wave Theory represents the idea of mass irrational behavior which is somewhat predictable. These two theoretical extremes represent contrasting views of how finance markets work. Crude oil is the chosen medium through which these two theories are compared. The comparison is made within the framework of gleaning useful trading and investing advice for an amateur with limited resources. The results do not indicate a clear cut winner, but offers insight into the strengths and weaknesses of either theory, and how an amateur could benefit.
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Chiang, Sung-Mao, and 江松茂. "Analyzing Taiwan Stock Trend Based on Elliott Wave Theory—Combining Self-Organizing Map and Back- Propagation Neural Network." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/11347485231446714856.

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碩士<br>國立交通大學<br>管理學院資訊管理學程<br>99<br>Analyzing Taiwan Stock Trend Based on Elliott Wave Theory—Combining Self-Organizing Map and Back Propagation Neural Network Student:Sung-Mao Chiang Advisor: Dr. An-Pin Chen Institute of Information Management National Chiao Tung University Abstract Institute of Information Management National Chiao Tung University The stock market in Taiwan is a shallow-plate market which is affected by international stock market decline. In recent years, global economic is unstable. Investors will suffer great loss once they do the wrong direction. How to determine which space-time environment are upward, downward is an important issue. Technical analysis for quantitative data and information obtained and compared to fundamental analysis, data analysis of pollution leading to a lower chance of error, for the majority of investors often use investment analysis tool . The Elliott Wave Theory for the recent extensive study of technical analysis. Hong’s study (2009) through the back-propagation neural network parameters into the shape of the wave theory of learning, training, and that the stock market in the presence of physical strength. Chen (2010) filtering characteristics meet all the rules of Elliott Wave theory of N-type waves, which can effectively control the stock market rose fell trend. This study attempts to self-organizing map neural networks, "Like attracts like" feature, the wave theory of parameters to be characterized by different grouping plate potential, combined with back-propagation neural network learning, training and predict its decline in inflation, analysis of different plate potential the physical phenomena. The results show that self-organizing map neural network may be the wave theory of N-type waves for effective clustering and collapse of the power of the most obvious cluster physical note. Turning point in considering the purchase of the third day's closing price that case, the cluster rose a turning point in buying costs are relatively high. This study shows the pattern of investment in chase prices rose to be more careful. Keywords: Elliott Wave Theory、Technical analysis、Self-organizing map neural network、Back-propagation neural network.
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Books on the topic "Elliott Waves Theory"

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Droke, Clif. Elliott Wave simplified: Making stock market profits with R.N. Elliott's simple theory. Marketplace, 2000.

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Applying Elliott Wave Theory Profitably. Wiley, 2003.

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Poser, Steven W., and Paul J. Plummer. Applying Elliot Wave Theory Profitably. Wiley & Sons, Incorporated, John, 2007.

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Neely, Glenn, and Eric Hall. Mastering Elliot Wave: Presenting the Neely Method: The First Scientific, Objective Approach to Market Forecasting with the Elliott Wave Theory (version 2). 2nd ed. Windsor Books, 1990.

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Wave Theory For Alternative Investments Riding The Wave With Hedge Funds Commodities And Venture Capital. McGraw-Hill, 2010.

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Peracchi, Valerio. L'analisi tecnica. Dall'Intra-Day Trading ai Secular Trend attraverso i Candlestick e la Elliot Wave Theory. Marketing E Management, 2007.

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Book chapters on the topic "Elliott Waves Theory"

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"Elliott Wave Theory." In Forex Conquered. John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781119196839.ch7.

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"Elliott Wave Theory." In Applied Technical Analysis for Advanced Learners and Practitioners. Emerald Group Publishing Limited, 2016. http://dx.doi.org/10.1108/978-1-78635-634-520161008.

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Conference papers on the topic "Elliott Waves Theory"

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Vantuch, Tomas, Ivan Zelinka, and Pandian Vasant. "Market Prices Trend Forecasting Supported By Elliott Wave’s Theory." In First EAI International Conference on Computer Science and Engineering. EAI, 2017. http://dx.doi.org/10.4108/eai.27-2-2017.152341.

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Wang, Zhong, Wen-Gang Che, Yuan Xiao, and Chi-Chang Yang. "Research of the Elliott Wave Theory Applications Based on CBR." In 2013 Third International Conference on Intelligent System Design and Engineering Applications (ISDEA). IEEE, 2013. http://dx.doi.org/10.1109/isdea.2012.268.

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Kalaiarasan, R., K. S. Vishvaksenan, and R. Kalidoss. "Performance analysis of Elliot Wave Theory in wireless communication." In 2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET). IEEE, 2016. http://dx.doi.org/10.1109/wispnet.2016.7566465.

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