![]() ![]() I still haven’t made up for the money I lost in the summer of ’08. I taught high school Economics for almost 50 semesters. In this context, PHI is the Z-axis, the TIME-axis, the only axis algos care about, no matter what investors are caring about. 18=the 66th day, or March 6, (3-6)! Just recently, on 3-2-15, near the 6th Anniversary, the market closed atĢ117.39, or 3.1618 X 666.69 (the 3-6-6 closing value)!īehavioral Finance is real, but so is PHI. Per day, 1218/1826=.666… Now, the funny PHI part, at least one of them, is that 366 days X. How much you ask? Five years (1826.18 days) to the day later, 3-7-14, the S&P was at 1884, up 1218 points. Otherwise, how else could the Shanghai Composite Index, for example, on June 4, 2012, the 23rd Anniversary of the Tiananmen Square Massacre of June 4, 1989, open at 2346.98, and be down at the close, exactly 64.89? The Friday, 3-6-6 S&P generational bottom, hit 666.666…The market reversed on 3-9-6 and has been going up ever since. The reality of individual stockholders in large numbers determining the movements of the market has changed dramatically, as well. The average has changed dramatically, however, to just days, hours, and minutes. Back in the day when investors would own a stock for weeks, months, and years, this may have held true. For example, the difference today, is that high speed proximity traders, dark pools, and sovereign wealth funds use complex mathematical algorithms based on PHI to exert a much greater influence on market behavior than humans. Those who post comments on this site, have none of these ethical considerations. It’s probably because of this, that the above information places the majority (>61.8%) of the movements of the market primarily on human behavior, as it mirrors other natural systems. This site has certain ethical considerations concerning disseminating information about PHI and its’ relationship to financial markets, for obvious reasons. The ratios of Fibonacci numbers, commonly used in technical market analysis, converge on phi as explained on the Fibonacci Series page. ![]() The lines of the phi-based software are all in phi relationship to one another. The middle arm of the gauge keeps the phi point of the outer arms as the gauge is opened and closed. The photos below illustrate how the Golden Mean Gauge and Phi-based analysis software (PhiMatrix) can be used to identify these turns in the market. The golden ratio, or phi, appears frequently enough in the timing of highs and lows and price resistance points that adding this tool to technical analysis of the markets may help to identify fibonacci retracements, the key turning points in price movements. Phi, or Golden Ratio, patterns often define the timing of highs and lows and price resistance points Ermanometry applies the logarithmic spirals found in sea shells with dynamic ratios in 3D to relate one market move to others. Forbes ASAP featured a story on the work of scientist Stephen Wolfram in cellular automata (underlying rules that determine seemingly random phenomenon) stating “This seashell may hold the secret of stock market behavior, computers that think and the future of science.” Markets may be as geometrically perfect as a spider’s webĮrmanometry Research shows the markets to be perfectly patterned, explaining that humans, being part of nature, create perfect geometric relationships in their behaviors, not unlike a spider spinning a geometrically perfect web with no conscious awareness of its amazing feat. Phi (1.618), the Golden Mean and the numbers of the Fibonacci series (0, 1, 1, 2, 3, 5, 8, …) have been used with great success to analyze and predict stock market moves, known as retracements. Phi and Fibonacci numbers are used to predict stocks A study by mathematical psychologist Vladimir Lefebvre demonstrated that humans exhibit positive and negative evaluations of the opinions they hold in a ratio that approaches phi, with 61.8% positive and 38.2% negative. Human expectations occur in a ratio that approaches Phi.Ĭhanges in stock prices largely reflect human opinions, valuations and expectations.
0 Comments
Leave a Reply. |