Commodity trading systems and methods
The first comprehensive, detailed guide to technical systems of trading commodities, written by one of America's leading commodities analysts. Examines the applications of price forecasting from a functional point of view. Analyzes pattern recognition studies on daily, seasonal, and long-term bases, covering all the systems that have proven to be reliable guides to market performance over the years. Teaches techniques of researching, speculating, hedging, and personal portfolio management.
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analysis anti-Martingale applied approach approximation arithmetic mean breakout bullish calculated Cattle closing price Cocoa combined components considered continued contract Copper corn curve cycle data points day trading Diagram direction Dow theory elements Enter entry equation error example expect exponential moving average exponential smoothing formations Friday geometric increase interval least-squares linear linear regression liquidate long position long-term losses mathematical mean mean deviation measure method momentum Monday moving average moving-average occur penetration period plotted point-and-figure chart predictive price levels price move price movement price objective prior close probability problem profits regression relationship represents resistance level resistance line reversal risk rules seasonal pattern selection sell signals short position shows smoothing constant solve Soybeans stop-loss support and resistance Table technique theory Thursday time-series trading range trend line Tuesday volatility W. D. Gann wave weighted