Frequency Analysis based on Monthly Comb
|
|
|
|
|
|
|
|
|
|
It is obvious from inspection of price lines, that many seem to contain cycles that may persist in repeating for a long time. Through the years, technicians have expended much effort to measure and exploit these cycles. It would appear simple enough to do a frequency analysis on the time series. But the cycles or periods that seem so easy to see in the price data, have proven to be surprisingly difficult to measure by classical methods. The classical methods apply to stationary cycles of exactly regular period. We can easily remove the trends from historical price data to make the series stationary. However, the fluctuations seen in financial data are almost never exactly periodic, complicating most attempts to take advantage of these cycles. One factor in the behaviour of market fluctuations is "Anticipation". When speculators detect a cycle in prices, they will buy earlier before the peak, and sell earlier before the dip. This phenomena causes an increase in frequency, and eventually a breakup of the established cycle. Traditional frequency analysis methods such as the Fourier Transform, break down badly attempting to deal with these irregularities. Wilder estimated that there was an important period of about 28 trading sessions. The half cycle of this period (14 sessions) is a default factor in many of the technical indicators. We have found this to be a reasonable figure, even in today's markets, but there is significant variation between issues. Some companies just seem to have faster or slower cycles for one reason or another, and the indicators may be more accurate when fitted to the situation. In order to determine the actual frequences in a particular case, we must conduct an new form of analysis that is better suited to deal with the oxymoronic condition of variable length cycles. |
| 
Subscribe More than 70 Hi-Rez charts daily for Broadcom Corporation: |
Frequency from Monthly Comb Filter
Representative Cycle (Trading Sessions) = 15.00
Sawtooth = 51.08
| Peak Type | Avg. Cycle | Median Cycle | Cycle Mode | Cycle Amplitude | | High | 15.67 | 30.00 | 28.00 | 24.97 % | | Low | 16.19 | 30.00 | 15.00 | 18.58 % |
| Recent High | Price | Recent Low | Price | Cycle | | | Thursday, September 23, 2010 | 32.35 | 16 | | Tuesday, September 14, 2010 | 35.49 | | | 35 | | | Tuesday, August 31, 2010 | 29.96 | 43 | | Monday, July 26, 2010 | 38.11 | | | 27 | | | Wednesday, June 30, 2010 | 32.89 | 15 | | Wednesday, June 16, 2010 | 36.10 | | | 36 | | | Wednesday, June 09, 2010 | 31.98 | 13 | | Monday, April 26, 2010 | 35.86 | | | 77 |
Fourier Transform after Digital Filter M | Cycle Length | Fourier Amplitude | | 10 | 0.53 | | 12 | 0.37 | | 15 | 0.35 | | 20 | 0.33 | | 18 | 0.27 | | 37 | 0.22 | | 26 | 0.20 | | 24 | 0.18 | | 31 | 0.17 | | 29 | 0.16 | | 34 | 0.16 |
|
Frequency Analysis based on Quarterly Comb
Frequency from Quarterly Comb Filter
Representative Cycle (Trading Sessions) = 77.00
Sawtooth = 49.06
| Peak Type | Avg. Cycle | Median Cycle | Cycle Mode | Cycle Amplitude | | High | 50.50 | 102.00 | 107.00 | 28.44 % | | Low | 49.58 | 69.00 | 41.00 | 28.15 % |
| Recent High | Price | Recent Low | Price | Cycle | | | Tuesday, August 31, 2010 | 29.96 | 71 | | Monday, July 26, 2010 | 38.11 | | | 63 | | | Thursday, May 20, 2010 | 31.63 | 77 | | Monday, April 26, 2010 | 35.86 | | | 77 | | | Friday, January 29, 2010 | 26.52 | 59 | | Monday, January 04, 2010 | 32.00 | | | 55 | | | Tuesday, November 03, 2009 | 25.80 | 177 | | Wednesday, October 14, 2009 | 30.81 | | | 58 |
Fourier Transform after Digital Filter Q | Cycle Length | Fourier Amplitude | | 10 | 0.34 | | 13 | 0.25 | | 15 | 0.23 | | 137 | 0.20 | | 20 | 0.20 | | 186 | 0.16 | | 146 | 0.15 | | 82 | 0.14 | | 68 | 0.14 | | 60 | 0.13 | | 26 | 0.13 |
|
|
|
Frequency Analysis based on Yearly Comb
Representative Cycle (Trading Sessions) = 0.00
Sawtooth = 50.32
| Peak Type | Avg. Cycle | Median Cycle | Cycle Mode | Cycle Amplitude | | High | 0.00 | 0.00 | 0.00 | 0.00 % | | Low | 0.00 | 0.00 | 0.00 | 0.00 % |
| Recent High | Price | Recent Low | Price | Cycle | | | Thursday, November 20, 2008 | 13.54 | 174 | | Wednesday, July 16, 2008 | 29.52 | | | 186 | | | Monday, March 17, 2008 | 16.33 | 412 | | Thursday, October 18, 2007 | 42.09 | | | 228 | | Monday, November 20, 2006 | 36.73 | | | 183 | | | Wednesday, July 26, 2006 | 21.86 | 475 | | Thursday, March 02, 2006 | 48.48 | | | 421 | | | Tuesday, September 07, 2004 | 16.89 | 482 |
Fourier Transform on Raw Closing Prices | Cycle Length | Fourier Amplitude | | 512 | 5.31 | | 683 | 3.74 | | 410 | 2.72 | | 186 | 2.28 | | 293 | 2.13 | | 228 | 2.07 | | 8 | 2.05 | | 256 | 1.60 | | 10 | 1.56 | | 146 | 1.46 | | 205 | 1.23 |
|
|
|
| BRCM
Broadcom Corporation
|
Average Sawtooth based on Monthly Combo
| BRCM
Broadcom Corporation
|
Average Sawtooth based on Bi-weekly Combo
A comparison of the average distance (in time) from each periodic high to to next periodic low, against the distance to the following high point, yields the Sawtooth Statistic. The mid-point, corresponding to a perfect sine wave, is 50 percent. Values less than this indicate the sell slope is steeper than the buy slope, while values over 50 percent show the opposite. The Sawtooth Statistic gives a clue to the general mood of the markets, functioning as a sort of sentiment indicator. The chart represents the sawtooth percentage of (approximately) monthly cycles over the past year, and of the (approximately) bi-weekly cycles, averaged over the past six months.
Today's Free Reports | Meet the Analysts | Member Sign In | Stock-Predictions dot Com Home Page
For Subscribers: Advanced Analysis of the Price Behavior Surface for Broadcom Corporation
Contents of non-member pages are delayed. New information may have voided the predictions shown here. Associates of Stock-Predictions.Com or Hybrid Technical may hold positions in issues covered here.
Our Pledge of Independence: We do not utilize any reporting or analysis that comes directly or indirectly from brokerage or banking firms.
Note: Free pages are for entertainment and academic purposes only. We do not advise anyone to buy or sell stocks or funds. We do not recommend the purchase or sale of this or any other issue. Research shows that most people who trade securities will lose money.
These reports are not to be used for stock-picking or investment decision support. Any such use is strictly prohibited. Charts are provided by permission from Hybrid Technical. All Rights Reserved. All Content is Copyright 2010 by Stock-Predictions.ComThis site and Hybrid Technical shall not be liable for any errors in the content, or for any actions taken in reliance thereon.
| |
