Goodman Wave Theory (‘GWT’ ‘Goodman’) was developed by trader Charles B. Goodman in the 1940s and 1950s. He used it very successfully in commodity futures and equities. GWT is derived from four simple and transparent concepts. In this article I discuss these – The Axiom of 1-2-3, the Propagation Principle, the Intersection Principle and the 3-C Principle. These will also demonstrate how Goodman differs from the more well-known Elliott. Finally, I will show the basic GWT trade setup. Continue reading Goodman Wave Theory: Part 1
The trendline for which Andrews is best known is the Median Line. The chart on this page shows an upward sloping Median Line. Three pivots are needed to draw a Median Line. Two of the pivots must be the high and low of a price swing. The mid-point between these first two points must be calculated. This is calculated through simple division and addition. The range between the high and low is divided by two and added to the low value. The same is done for the amount of time between the high and low. On the chart below, the middle point between pivots В and С is used to draw the Median Line.
Vibrations in the markets can be thought of as sound waves. The louder the sound, the farther it will travel. Eventually the sound will lose momentum as it travels, and the momentum will dissipate. The same analogy could be used describing an object being dropped. The larger the object and the greater the distance it is dropped, the larger the vibration that is created as it meets with a surface. Price movement is very similar to this.
Murray A. Ruggiero, JR., is president of Ruggiero Associates in East Haven, Conn., a firm which specializes in the development and testing of market timing applications using state-of-the-art computer technologies.
One of the world’s foremost experts on using intermarket and trend analysis to locate and confirm developing price moves in the markets, Murray has been called “The Einstein of Wall Street” by those who know the value of his amazing work.
John R. Hill majored in Chemical Engineering at Ohio State University, graduating with a B.S. and Master’s degree in 1948 and 1950. His career in the chemical industry was primarily involved with economics and marketing. Profitable trading in commodities enabled him to resign from the chemical industry, move to the beautiful North Carolina Mountains, and devote full time to the study of market action.
Harold M. Gartley (1899-1972) has long been a well-known name in the field of technical analysis. Beginning as a board boy and runner on Wall Street, he evolved into a master technician whose techniques on trading the markets are still used today.
Gartley wrote many articles on the stock market hut his best work is considered to be his book Profits in the Stock Market Of special interest to many traders is his chapter “Volume of Trading” Gartley is said to have dune more work on volume than anyone else.
GANN FORETOLD RUN OF STOCKS
W.D. Gann has scored another astounding hit in his 1922 stock forecast issued in December 1921. The forecast called for first top of the bull wave in April, second top in August, and the final top and culmination of the bull market October 8 to 15, and strange as it may seem, the average prices of twenty industrial stocks reached the highest point on October 14 and declined 10 points in thirty-days after that date.
Mr. Gann predicted a big decline for the month of November. He said in the 1922 forecast – “November 10-14 panicky break.” During this period stocks suffered a sever decline, many falling 10 points or more in four days and on November 14 lowest average prices were made with 1,500,00 shares traded in on the New York Stock Exchange.Continue reading The Morning Telegraph
After fifty-two years of experience and research going back hundreds of years. I have proved to my entire satisfaction that history repeats and that when we know the past, we can determine the future of prices. I have put TIME CYCLES to the test in my personal trading, and I have issued Annual Forecasts on Stocks and Commodities for more than 50 years which have proved accurate.
TIME CYCLES repeat because human nature does not change. That is why wars occur at regualr CYCLES. Old men do not want wars, neither do they want to go into war after they have been through one. Young men fight the wars because they read history and want to be heroes. Leaders of nations appeal desire in men that urges them to risk their lives in war causes them to take a chance in business and in speculation. They take too many chances and get too optimistic after a long period of success in business and after prolonged advances in Stocks and Commodities.Continue reading Why Time Cycles Predict Trends of Commodities, Stocks & Business
The Rules given below are based upon W. D. Gann’s experience :
1.Amount of capital to use: Divide your capital into 10 equal parts and never risk more than one-tenth of your capital on any one trade.
2.Use stop loss orders. Always protect a trade when you make it with a stop loss order.
3.Never overtrade. This would be violating your capital rules.
4.Never let a profit run into a loss. After you once have a profit (…), raise your stop loss order so that you will have no loss of capital.
5.Do not buck the trend. Never buy or sell if you are not sure of the trend according to your charts and rules.Continue reading Gann’s 28 Trading Rules
W.D. Gann’s outstanding skill was his ability to produce accurate annual forecasts of the stock and commodity markets. Gann stated that his forecasts were based on his secret “time factor”.
However, careful analysis of his novel entitled “The Tunnel Thru The Air” reveals Gann’s belief in the overwhelming importance of astrology. Therefore astrology is the real basis of Gann’s annual forecasts. Indeed, astrological analysis is implicit at key points in his books and courses. Consequently it is concluded that if we wish to emulate Gann’s outstanding forecasting skills we must follow in his footsteps by firstly learning astrology and then apply this knowledge to the stock and commodity markets.Continue reading The Time Factor OF W. D. Gann