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Valeriy Zakamulin is Professor of Finance at the School of Business and Law, University of Agder, Norway. He has an M.S. in Business Administration and a PhD in Finance from the Norwegian School of Economics, Norway. He has published articles for various refereed academic and practitioner journals and is a frequent speaker at international conferences. He has also served on the Editorial Board of the Open Economics Journal, Journal of Banking and Finance, and International Journal of Emerging Markets. His current research interests cover behavioral finance, portfolio optimization, time-series analysis of financial data, and stock return and risk predictability.
Sugar: Sugar is not only a sweetener, but it also plays an important role in the production of ethanol fuel. Historically, governments across the world have intervened heavily in the sugar market. Subsidies and tariffs on imports often produce anomalies in prices and make sugar an interesting commodity to trade. Although sugar cane is grown all over the world, the ten largest producing countries account for about three-quarters of all production.
But how profitable is this market timing model? It is difficult to tell. While screening for high-growth stocks according to the CAN SLIM methodology is quite simple with software, the analysis of the market is quite interpretive and typically requires a visual approach. I am not familiar with a specific computerized and back-testable algorithm that is able to emulate this market timing technique. But as reported by the American Association of Individual Investors, the 5-year annualized return of the CAN SLIM stock picking method is 21.9%. That said, how much gain can be had from this isolated market timing technique is not readily available knowledge.

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The moving average is a line that plots the average price of a stock over a set period of time. A basic trading method is to buy when share prices rise above the long-term moving average and sell when the price falls below. In the paper, Technical Analysis with a Long Term Perspective: Trading Strategies and Market Timing Ability, some uncommon approaches were evaluated. One strategy was to analyze the trailing four years of market data to determine which moving average length proved the most effective for making investment decisions. Contrary to the usual calculation of moving averages using periods as short as 50 or 200 days, the moving averages in this paper were calculated over much longer periods of time.

AGRICULTURAL MARKETS OVERVIEW FOR MONDAY: (11/19) Cycles are mixed for the next few days with some bias toward lower action. Seasonal the market rallies before Thanksgiving and there is probably enough early winter weather to prevent any serious downward action. Weather should also support meats and they will be hard to sell now and holiday trade can get thin and we try not to trade much in the meat pits before the holidays. Any strong rallies on Mondays may quickly be taken back into Tuesday/Wednesday.  


WallStreetCourier.com is specialized in exploiting traceable inefficiencies in the U.S. stock market. We offer precise trading recommendations based on proven and measurable facts. Each of those recommendations is highly uncorrelated to each other and can be therefore used to build a highly diversified and efficient portfolio. Success, Guidance and Sustainability through cutting-edge research. ... more»
Eventually, however, the ancient Greeks and Romans settled on gold and silver as the favored currencies for transacting business in commodities. These civilizations prized gold and silver for their luster and physical beauty. In addition, since gold and silver are rare and can be melted, shaped and measured into coins of equal size, they logically evolved into monetary assets. Ultimately, exchanging gold for goods and services became the preferred means of commerce in the ancient world and led gold to become the first widely traded commodity.
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