World War Iii a Techno Economic Introspection
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Elliott Wave Principle.Pdf.Pdf
A CAPSULE SUMMARY OF THE WAVE PRINCIPLE The Wave Principle is Ralph Nelson Elliott's discovery that social, or crowd, behavior trends and reverses in recognizable patterns. Using stock market data as his main research tool, Elliott isolated thirteen patterns of movement, or "waves," that recur in market price data. He named, defined and illustrated those patterns. He then described how these structures link together to form larger versions of those same patterns, how those in turn link to form identical patterns of the next larger size, and so on. In a nutshell, then, the Wave Principle is a catalog of price patterns and an explanation of where these forms are likely to occur in the overall path of market development. Pattern Analysis Until a few years ago, the idea that market movements are patterned was highly controversial, but recent scientific discoveries have established that pattern formation is a fundamental characteristic of complex systems, which include financial markets. Some such systems undergo "punctuated growth," that is, periods of growth alternating with phases of non- growth or decline, building fractally into similar patterns of increasing size. This is precisely the type of pattern identified in market movements by R.N. Elliott some sixty years ago. The basic pattern Elliott described consists of impulsive waves (denoted by numbers) and corrective waves (denoted by letters). An impulsive wave is composed of five subwaves and moves in the same direction as the trend of the next larger size. A corrective wave is composed of three subwaves and moves against the trend of the next larger size. -
The Cyclical Nature of International Trade: the Aspect of Technological Impact
ISSN 1392-3110 Socialiniai tyrimai / Social Research. 2013. Nr. 4 (33). 66–77 The Cyclical Nature of International Trade: The Aspect of Technological Impact Aurelija Burinskiene Vilnius Gediminas technical university, 11 Sauletekio Ave., LT- 10223 Vilnius E-mail: [email protected] Abstract international trade and the main Lithuanian export Modern theories are increasingly focusing on cyclical partners were analysed by Ginevičius and others nature. This article is dedicated to the cyclical nature of (2005); Lithuanian exports structure and dynamics international trade examined from the impact of technology. were presented by Purlys (2006); and the changes The study presented in the paper considers three of export volumes were investigated by Jakutis and different aspects. First, the paper discloses the theories others (2005). However, the attention to cyclical of economic growth, such as classical, neoclassical, fluctuations in international trade is not very high exogenous, and endogenous growth theories; it also reveals the importance of the impact of technology referred to the in Lithuania. On the other hand, the authors in the economic growth theories. world’s scientific literature investigate the cyclical Second, in the paper different economic views to nature of international trade from different directions. the length of cycle are presented. The study is reviewing Mostly they focus on such directions: first, models, the short-run (Kitchin cycle), mid-run (Juglar cycle, which explain how the cyclical nature of products Kuznets swing), and long-run (Kondratjew wave, Grand demand is reflected in foreign trade; second, the Supercycle) economic cycles. fluctuations of production volumes; and, third, on Third, in the paper the analysis of historical events the fluctuations of U.S. -
Analysis and Modeling of Metal Commodity Price Cycles Through
Analysis and Modeling of Metal Commodity Price Cycles Through Band-Pass Filters and Elliott Wave Principle Matias Maranon Department of Mining and Materials Engineering McGill University, Montreal, Quebec Thesis Prepared for the Degree of Masters of Engineering December, 2018 Abstract The great interest of the main metal and mineral industry stakeholders for understanding the behavior of metal prices and their dynamics with the rest of the human activity has resulted in the development and application of a wide variety of models. Nevertheless, the most popular methods for price modeling and forecasting are not capable of fully capture the empirical evidence about cyclical behavior (especially in the long-term), the potential connection with long economic cycles, and factors of increasing interest such as mass psychology. Given this scenario, two techniques, little explored by the mineral economics, are studied and applied. The main objective is to evaluate whether they can address some of the drawbacks of classical methods and improve the understanding and modeling of the metallic commodities price behavior. The first technique is the Band-Pass Filter, which proved to be useful in extracting cyclical components of different frequencies and expanding the means for the study of long-term price, co- movement, substitution effect, and the dynamic with explanatory variables in different cyclical components. The second is the Elliott Wave Principle, a technique vastly used by technical analysts and built on the belief that market prices are a reflection of participants’ mass psychology, which did not demonstrate to be a strong approach to model metal commodity prices. I Résumé Le grand intérêt manifesté par les principaux acteurs de l'industrie des métaux et des minéraux pour comprendre le comportement des prix des métaux et leur dynamique avec le reste de l'activité humaine a conduit à la mise au point et à l'application d'une grande variété de modèles. -
Technical Analysis
Technical Analysis PDF generated using the open source mwlib toolkit. See http://code.pediapress.com/ for more information. PDF generated at: Wed, 02 Feb 2011 16:50:34 UTC Contents Articles Technical analysis 1 CONCEPTS 11 Support and resistance 11 Trend line (technical analysis) 15 Breakout (technical analysis) 16 Market trend 16 Dead cat bounce 21 Elliott wave principle 22 Fibonacci retracement 29 Pivot point 31 Dow Theory 34 CHARTS 37 Candlestick chart 37 Open-high-low-close chart 39 Line chart 40 Point and figure chart 42 Kagi chart 45 PATTERNS: Chart Pattern 47 Chart pattern 47 Head and shoulders (chart pattern) 48 Cup and handle 50 Double top and double bottom 51 Triple top and triple bottom 52 Broadening top 54 Price channels 55 Wedge pattern 56 Triangle (chart pattern) 58 Flag and pennant patterns 60 The Island Reversal 63 Gap (chart pattern) 64 PATTERNS: Candlestick pattern 68 Candlestick pattern 68 Doji 89 Hammer (candlestick pattern) 92 Hanging man (candlestick pattern) 93 Inverted hammer 94 Shooting star (candlestick pattern) 94 Marubozu 95 Spinning top (candlestick pattern) 96 Three white soldiers 97 Three Black Crows 98 Morning star (candlestick pattern) 99 Hikkake Pattern 100 INDICATORS: Trend 102 Average Directional Index 102 Ichimoku Kinkō Hyō 103 MACD 104 Mass index 108 Moving average 109 Parabolic SAR 115 Trix (technical analysis) 116 Vortex Indicator 118 Know Sure Thing (KST) Oscillator 121 INDICATORS: Momentum 124 Momentum (finance) 124 Relative Strength Index 125 Stochastic oscillator 128 Williams %R 131 INDICATORS: