Our Pin-Point Trading® Methodology
Here at FortuneTrader.net we use a "Pin-Point" Trading® Method or approach to trading the S&P 500, e-mini and other stocks and futures. This method was devised and is now being introduced to the world by FortuneTrader.net's Master Trader, TD O'Connor. It is based on the natural principles of the universe studied and made popular by Gann, as well as Elliott Wave Theory.
Our method leverages the most Ancient Mathematical and Astrological Phenomena known to mankind. We have discovered irrefutable evidence as proof that these natural cycles occur in all things in the universe. There is in fact a “Da Vinci” code to the market. While this code is NOT THE HOLY GRAIL, as there are man made events that effect the natural process, we have found that our methods commonly achieve sustained periods of 80 percent or greater accuracy. By applying a simple yet MANDATORY Rule Set which includes avoiding NEWS EVENTS WITH MARKET EXPOSURE, our traders can greatly increase their potential profits from trading their signals OR OURS by following the instructions that we will provide each trading day.
W. D. Gann, was one of the most successful stock and commodity traders and predictor of future markets ever. Around 1910 Gann said, “Charts are records of past movements. The future is but a repetition of the past; there is nothing new. History repeats itself; and with proper charts and rules we can determine when and how markets are going to repeat." Gann developed what he called The Master Time Factor after studying markets and prices for 10 years in England. Gann stated that records in Europe went back much further than those in America. Gann said, “to succeed you must study past records because the markets will be a repetition of the past.” If I have the data I can tell from a study of cycles when a certain event will occur in the future. In 1908 Gann said that Union Pacific was 168 1/8. He predicted it would not touch 169 before it had a good break. People sold it short all the way down to 152 5/8, and making more than 23 points by selling and buying all the way down as Gann Predicted. In 1928 Gann issued a Forecast predicting the end of the bull market in stocks for Sept 3, 1929, and the greatest panic in history to follow. He told people to short the market and pyramid on the way down. He predicted the high in the stock market in 1929, nine months in advance of the crash, and the depression low in 1932 six months in advance. In the summer of 1909 Gann stated public ally in the news paper in NY and in The Commercial West magazine that Sept wheat would sell for 1.20 a bushel. This being that price of wheat must go up to 1.20 before the expiration of the contract on Sept 30, 1909. At noon on the last day of the contract Sept wheat was selling under 1.08 and look ed as if it would not get even near 1.20. Gann said, “if it does not go to 1.20 before the close of the market today it will prove there is something wrong with my whole method. I do not care about the price now, it must go there.” It is public record that Sept wheat surprised the entire country by reaching and selling at 1.20 and not a cent higher in the last hour of trading. Chart projections based on cycles were the starting point for Gann’s Predictions. Gann’s predictions are based on natural law of the markets. If you studied everything published about Gann as I have you believe in the highly accurate predictions he made and the possibility of making future predictions by using calculations and methods similar to those he discovered. I studied Gann’s works for 5 years, and took 6 other courses costing me in excess of 24,000. I can honestly say that none of the 6 courses I took were worth one cent. They took my money and gave me nothing. I traded for 2 years after that and was slowly losing my account to 50% losses, commissions and other expenses. I had learned that most people (approx 87%) lose money. I was determined to learn how those 13% made money. I went back and really re-studied, using Gann’s principles, the charts and live markets for 15 hours a day for two more years. I made some astonishing discoveries about charts, time and trading. I came up with my own methods which follow in the footsteps of Gann’s work, taking it steps further. I began using the natural movements and patterns of the markets and time lines as Gann wrote about in order to predict future moves in various commodities and stocks. Soon I was making a decent living trading……
Master Trader, FortuneTrader.net
From Wikipedia, the free encyclopedia
TheElliott wave principleis a form of technical analysis that attempts to forecast trends in the financial markets and other collective activities. It is named after Ralph Nelson Elliott (1871–1948), an accountant who developed the concept in the 1930s: he proposed that market prices unfold in specific patterns, which practitioners today call Elliott waves. Elliott published his views of market behavior in the book The Wave Principle (1938), in a series of articles in Financial World magazine in 1939, and most fully in his final major work, Nature’s Laws – The Secret of the Universe (1946).[1] Elliott argued that because humans are themselves rhythmical, their activities and decisions could be predicted in rhythms, too. Critics argue that the Elliott wave principle is pseudoscientific and contradicts the efficient market hypothesis.
Elliott Wave analysts (or "Elliotticians") hold that it is not necessary to look at a price chart to judge where a market is in its wave pattern. Each wave has its own "signature" which often reflects the psychology of the moment. Understanding how and why the waves develop is key to the application of the Wave Principle; that understanding includes recognizing the characteristics described below.[2]
These wave characteristics assume a bull market in equities. The characteristics apply in reverse in bear markets.
| Five wave pattern (dominant trend) | Three wave pattern (corrective trend) | |
|---|---|---|
| Wave 1: Wave one is rarely obvious at its inception. When the first wave of a new bull market begins, the fundamental news is almost universally negative. The previous trend is considered still strongly in force. Fundamental analysts continue to revise their earnings estimates lower; the economy probably does not look strong. Sentiment surveys are decidedly bearish, put options are in vogue, and implied volatility in the options market is high. Volume might increase a bit as prices rise, but not by enough to alert many technical analysts. | Wave A: Corrections are typically harder to identify than impulse moves. In wave A of a bear market, the fundamental news is usually still positive. Most analysts see the drop as a correction in a still-active bull market. Some technical indicators that accompany wave A include increased volume, rising implied volatility in the options markets and possibly a turn higher in open interest in related futures markets. | |
| Wave 2: Wave two corrects wave one, but can never extend beyond the starting point of wave one. Typically, the news is still bad. As prices retest the prior low, bearish sentiment quickly builds, and "the crowd" haughtily reminds all that the bear market is still deeply ensconced. Still, some positive signs appear for those who are looking: volume should be lower during wave two than during wave one, prices usually do not retrace more than 61.8% (see Fibonacci section below) of the wave one gains, and prices should fall in a three wave pattern. | Wave B: Prices reverse higher, which many see as a resumption of the now long-gone bull market. Those familiar with classical technical analysis may see the peak as the right shoulder of a head and shoulders reversal pattern. The volume during wave B should be lower than in wave A. By this point, fundamentals are probably no longer improving, but they most likely have not yet turned negative. | |
| Wave 3: Wave three is usually the largest and most powerful wave in a trend (although some research suggests that in commodity markets, wave five is the largest). The news is now positive and fundamental analysts start to raise earnings estimates. Prices rise quickly, corrections are short-lived and shallow. Anyone looking to "get in on a pullback" will likely miss the boat. As wave three starts, the news is probably still bearish, and most market players remain negative; but by wave three's midpoint, "the crowd" will often join the new bullish trend. Wave three often extends wave one by a ratio of 1.618:1. | Wave C: Prices move impulsively lower in five waves. Volume picks up, and by the third leg of wave C, almost everyone realizes that a bear market is firmly entrenched. Wave C is typically at least as large as wave A and often extends to 1.618 times wave A or beyond. | |
| Wave 4: Wave four is typically clearly corrective. Prices may meander sideways for an extended period, and wave four typically retraces less than 38.2% of wave three. Volume is well below than that of wave three. This is a good place to buy a pull back if you understand the potential ahead for wave 5. Still, the most distinguishing feature of fourth waves is that they often prove very difficult to count. | ||
| Wave 5: Wave five is the final leg in the direction of the dominant trend. The news is almost universally positive and everyone is bullish. Unfortunately, this is when many average investors finally buy in, right before the top. Volume is lower in wave five than in wave three, and many momentum indicators start to show divergences (prices reach a new high, the indicator does not reach a new peak). At the end of a major bull market, bears may very well be ridiculed (recall how forecasts for a top in the stock market during 2000 were received). | ||
Elliott's market model relies heavily on looking at price charts. Practitioners study developing price moves to distinguish the waves and wave structures, and discern what prices may do next; thus the application of the wave principle is a form of pattern recognition.
The structures Elliott described also meet the common definition of a fractal (self-similar patterns appearing at every degree of trend). Elliott wave practitioners say that just as naturally-occurring fractals often expand and grow more complex over time, the model shows that collective human psychology develops in natural patterns, via buying and selling decisions reflected in market prices: "It's as though we are somehow programmed by mathematics. Seashell, galaxy, snowflake or human: we're all bound by the same order."[3]
R. N. Elliott's analysis of the mathematical properties of waves and patterns eventually led him to conclude that "The Fibonacci Summation Series is the basis of The Wave Principle."[1] Numbers from the Fibonacci sequence surface repeatedly in Elliott wave structures, including motive waves (1, 3, 5), a single full cycle (5 up, 3 down = 8 waves), and the completed motive (89 waves) and corrective (55 waves) patterns. Elliott developed his market model before he realized that it reflects the Fibonacci sequence. "When I discovered The Wave Principle action of market trends, I had never heard of either the Fibonacci Series or the Pythagorean Diagram."[1]
The Fibonacci sequence is also closely connected to the Golden ratio (ca 1.618). Practitioners commonly use this ratio and related ratios to establish support and resistance levels for market waves, namely the price points which help define the parameters of a trend.[4]
Finance professor Roy Batchelor and researcher Richard Ramyar, a former Director of the United Kingdom Society of Technical Analysts and Head of UK Asset Management Research at Reuters Lipper, studied whether Fibonacci ratios appear non-randomly in the stock market, as Elliott's model predicts. The researchers said the "idea that prices retrace to a Fibonacci ratio or round fraction of the previous trend clearly lacks any scientific rationale." They also said "there is no significant difference between the frequencies with which price and time ratios occur in cycles in the Dow Jones Industrial Average, and frequencies which we would expect to occur at random in such a time series."[5]
Robert Prechter replied to the Batchelor-Ramyar study, saying that it "does not challenge the validity of any aspect of the Wave Principle...it supports wave theorists' observations," and that because the authors had examined ratios between prices achieved in filtered trends rather than Elliott waves, "their method does not address actual claims by wave theorists."[6] The Socionomics Institute also reviewed data in the Batchelor-Ramyar study, and said this data shows "Fibonacci ratios do occur more often in the stock market than would be expected in a random environment."'[7]
Example of The Elliott Wave Principle and The Fibonacci Relationship
The GBP/JPY currency chart gives an example of a fourth wave retracement apparently halting between the 38.2% and 50.0% Fibonacci retracements of a completed third wave. The chart also highlights how the Elliott Wave Principle works well with other technical analysis tendencies as prior support (the bottom of wave-1) acts as resistance to wave-4. The wave count depicted in the chart would be invalidated if GBP/JPY moves above the wave-1 low.
Robert Prechter came across Elliott's works while working as a market technician at Merrill Lynch. His fame as a forecaster during the bull market of the 1980s brought the greatest exposure to date to Elliott's theory, and today Prechter remains the most widely known Elliott analyst.
Among market technicians, wave analysis is widely accepted as a component of their trade. Elliott Wave Theory is among the methods included on the exam that analysts must pass to earn the Chartered Market Technician (CMT) designation, the professional accreditation developed by the Market Technicians Association (MTA).
Robin Wilkin, Global Head of FX and Commodity Technical Strategy at JPMorgan Chase, says "the Elliott Wave principle… provides a probability framework as to when to enter a particular market and where to get out, whether for a profit or a loss."[8]
Jordan Kotick, Global Head of Technical Strategy at Barclays Capital and past President of the Market Technicians Association, has said that R. N. Elliott's "discovery was well ahead of its time. In fact, over the last decade or two, many prominent academics have embraced Elliott’s idea and have been aggressively advocating the existence of financial market fractals."[9]
One such academic is the physicist Didier Sornette, visiting professor at the Department of Earth and Space Science and the Institute of Geophysics and Planetary Physics at UCLA. In a paper he co-authored in 1996 ("Stock Market Crashes, Precursors and Replicas") Sornette said,
-
- "It is intriguing that the log-periodic structures documented here bear some similarity with the 'Elliott waves' of technical analysis …. A lot of effort has been developed in finance both by academic and trading institutions and more recently by physicists (using some of their statistical tools developed to deal with complex times series) to analyze past data to get information on the future. The 'Elliott wave' technique is probably the most famous in this field. We speculate that the 'Elliott waves', so strongly rooted in the financial analysts’ folklore, could be a signature of an underlying critical structure of the stock market."[10]
Paul Tudor Jones, the billionaire commodity trader, calls Prechter and Frost's standard text on Elliott "a classic," and one of "the four Bibles of the business" --
-
- "[McGee and Edwards'] Technical Analysis of Stock Trends and The Elliott Wave Theorist both give very specific and systematic ways to approach developing great reward/risk ratios for entering into a business contract with the marketplace, which is what every trade should be if properly and thoughtfully executed."[11]
- ^ a b c R.N. Elliott, R.N. Elliott's Masterworks (New Classics Library, 1994), 70, 217, 194, 196.
- ^ a b c Poser, Steven W. (2003). Applying Elliott Wave Theory Profitably, John Wiley and Sons , pages 2-17.
- ^ John Casti (31 August 2002). "I know what you'll do next summer". New Scientist, p. 29.
- ^ Alex Douglas, "Fibonacci: The man & the markets," Standard & Poor's Economic Research Paper, February 20, 2001, pp. 8-10. PDF document here
- ^ Roy Batchelor and Richard Ramyar, "Magic numbers in the Dow," 25th International Symposium on Forecasting, 2005, p. 13, 31. PDF document here
- ^ Robert Prechter (2006), "Elliott Waves, Fibonacci, and Statistics," p. 2. PDF document here
- ^ Deepak Goel (2006), "Another Look at Fibonacci Statistics." PDF document here
- ^ Robin Wilkin, Riding the Waves: Applying Elliott Wave Theory to the Financial and Commodity Markets The Alchemist June 2006
- ^ Jordan Kotick, An Introduction to the Elliott Wave Principle The Alchemist November 2005
- ^ Sornette, D., Johansen, A., and Bouchaud, J.P. (1996). "Stock market crashes, precursors and replicas." Journal de Physique I France 6, No.1, pp. 167–175.
- ^ Mark B. Fisher, The Logical Trader, p. x (forward)
- Elliott Wave Principle: Key to Market Behavior by A.J. Frost & Robert R. Prechter, Jr. Published by John Wiley & Sons, Ltd. ISBN 0-471-98849-9
- Mastering Elliott Wave: Presenting the Neely Method: The First Scientific, Objective Approach to Market Forecasting with Elliott Wave Theory by Glenn Neely with Eric Hall. Published by Windsor Books. ISBN 0-930233-44-1
- Applying Elliott Wave Theory Profitably by Steven W. Poser Published by John Wiley & Sons, Ltd. ISBN 0-471-42007-7