Frequency Analysis based on Monthly Comb
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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. |
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Frequency from Monthly Comb Filter
Representative Cycle (Trading Sessions) = 30.00
Sawtooth = 48.43
| Peak Type | Avg. Cycle | Median Cycle | Cycle Mode | Cycle Amplitude | | High | 17.07 | 30.00 | 23.00 | 13.87 % | | Low | 16.74 | 32.00 | 16.00 | 13.47 % |
| Recent High | Price | Recent Low | Price | Cycle | | Tuesday, February 16, 2010 | 7.26 | | | 46 | | | Friday, January 29, 2010 | 6.15 | 41 | | Tuesday, December 08, 2009 | 8.62 | | | 22 | | | Monday, November 30, 2009 | 8.01 | 30 | | Thursday, November 05, 2009 | 9.31 | | | 37 | | | Friday, October 16, 2009 | 7.85 | 32 | | Tuesday, September 15, 2009 | 9.20 | | | 53 | | | Tuesday, September 01, 2009 | 7.02 | 36 |
Fourier Transform after Digital Filter M | Cycle Length | Fourier Amplitude | | 18 | 0.38 | | 20 | 0.35 | | 32 | 0.27 | | 26 | 0.25 | | 24 | 0.25 | | 22 | 0.24 | | 29 | 0.22 | | 38 | 0.15 | | 43 | 0.13 | | 35 | 0.13 | | 56 | 0.13 |
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Frequency Analysis based on Quarterly Comb
Frequency from Quarterly Comb Filter
Representative Cycle (Trading Sessions) = 78.00
Sawtooth = 48.03
| Peak Type | Avg. Cycle | Median Cycle | Cycle Mode | Cycle Amplitude | | High | 48.76 | 98.00 | 44.00 | 30.58 % | | Low | 51.00 | 76.00 | 78.00 | 28.50 % |
| Recent High | Price | Recent Low | Price | Cycle | | | Friday, January 29, 2010 | 6.15 | 227 | | Thursday, November 05, 2009 | 9.31 | | | 37 | | Tuesday, September 15, 2009 | 9.20 | | | 66 | | | Friday, March 06, 2009 | 3.10 | 71 | | Thursday, June 11, 2009 | 6.87 | | | 93 | | | Thursday, November 20, 2008 | 3.11 | 91 | | Wednesday, January 28, 2009 | 4.93 | | | 113 | | | Tuesday, July 15, 2008 | 6.64 | 64 |
Fourier Transform after Digital Filter Q | Cycle Length | Fourier Amplitude | | 9 | 0.47 | | 12 | 0.34 | | 17 | 0.22 | | 20 | 0.18 | | 77 | 0.17 | | 124 | 0.17 | | 152 | 0.17 | | 24 | 0.14 | | 32 | 0.14 | | 27 | 0.14 | | 39 | 0.13 |
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Frequency Analysis based on Yearly Comb
Representative Cycle (Trading Sessions) = 0.00
Sawtooth = 45.96
| 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 | | | Friday, March 06, 2009 | 3.10 | 978 | | Monday, October 15, 2007 | 18.74 | | | 251 | | Friday, October 13, 2006 | 25.11 | | | 222 | | | Monday, April 18, 2005 | 13.83 | 171 | | Friday, November 25, 2005 | 23.54 | | | 246 | | | Thursday, August 12, 2004 | 11.88 | 380 | | Monday, December 06, 2004 | 17.24 | | | 157 | | | Friday, February 07, 2003 | 6.35 | 459 |
Fourier Transform on Raw Closing Prices | Cycle Length | Fourier Amplitude | | 819 | 1.99 | | 512 | 1.99 | | 585 | 1.89 | | 683 | 1.71 | | 10 | 1.07 | | 14 | 0.99 | | 216 | 0.92 | | 152 | 0.82 | | 455 | 0.63 | | 341 | 0.61 | | 241 | 0.60 |
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| Breaking News: In the news, Thursday, March 18, 2010: An unfavorable condition has developed with MicroSoft, ticker symbol MSFT. Also, there are breaking events concerning AOL Time Warner (TWX) and Mylan Inc. (MYL)
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Average Sawtooth based on Monthly Combo
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Average Sawtooth based on Bi-weekly Combo
Comparing the length of time from high points to successive lowpoints, against the corresponding time span from the lows to the following periodic highs, gives us the Sawtooth Indicator. 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. Bullish or bearish moods may be reflected in the steepness of the buying and selling slopes, particularly as they change through time. 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.
| . | | | Semi-Annual Avg. of Bi-weekly Sawtooth Signals at 75 and 25 | Signaled Appreciation minus non-signaled Appreciation | Annualized % | | Buy Signals - 0 instances | | | | Sell Signals - 5 instances | | Future30SesAvgClose | -1.11 % minus 2.30 % = -3.40 % | -28.81 % | | Future5SesAvgClose | -2.64 % minus 0.47 % = -3.11 % | -158.21 % | | Future2SesAvgClose | -1.56 % minus 0.24 % = -1.80 % | -228.37 % | | . | | | Semi-Annual Avg. of Bi-weekly Sawtooth Signals middle Crossing | Signaled Appreciation minus non-signaled Appreciation | Annualized % | | Buy Signals - 52 instances | | | | Future30SesAvgClose | -1.71 % minus 2.30 % = -4.00 % | -33.90 % | | Future5SesAvgClose | -1.12 % minus 0.47 % = -1.59 % | -80.83 % | | Future2SesAvgClose | -0.87 % minus 0.24 % = -1.11 % | -140.96 % | | Sell Signals - 51 instances | | Future30SesAvgClose | 0.90 % minus 2.30 % = -1.39 % | -11.79 % | | Future5SesAvgClose | -0.44 % minus 0.47 % = -0.91 % | -46.35 % | | Future2SesAvgClose | -0.06 % minus 0.24 % = -0.30 % | -37.92 % | | . | | | Semi-Annual Avg. of Bi-weekly Sawtooth Signals at 70 and 30 | Signaled Appreciation minus non-signaled Appreciation | Annualized % | | Buy Signals - 10 instances | | | | Future30SesAvgClose | 4.52 % minus 2.30 % = 2.22 % | 18.81 % | | Future5SesAvgClose | 2.14 % minus 0.47 % = 1.66 % | 84.45 % | | Future2SesAvgClose | 1.66 % minus 0.24 % = 1.41 % | 179.63 % | | Sell Signals - 8 instances | | Future30SesAvgClose | 3.58 % minus 2.30 % = 1.28 % | 10.87 % | | Future5SesAvgClose | 0.01 % minus 0.47 % = -0.46 % | -23.33 % | | Future2SesAvgClose | 0.09 % minus 0.24 % = -0.15 % | -19.41 % | | . | | | Projection of Representative Monthly Cycle | Signaled Appreciation minus non-signaled Appreciation | Annualized % | | Buy Signals - 171 instances | | | | Future30SesAvgClose | 2.08 % minus 2.30 % = -0.21 % | -1.79 % | | Future5SesAvgClose | 0.86 % minus 0.47 % = 0.38 % | 19.46 % | | Future2SesAvgClose | 0.61 % minus 0.24 % = 0.36 % | 46.29 % | | Sell Signals - 199 instances | | Future30SesAvgClose | 2.27 % minus 2.30 % = -0.02 % | -0.20 % | | Future5SesAvgClose | 0.55 % minus 0.47 % = 0.07 % | 3.78 % | | Future2SesAvgClose | -0.05 % minus 0.24 % = -0.29 % | -36.61 % | | . | | | Projection of BiWeekly Modal Cycles | Signaled Appreciation minus non-signaled Appreciation | Annualized % | | Buy Signals - 395 instances | | | | Future30SesAvgClose | 1.82 % minus 2.30 % = -0.48 % | -4.07 % | | Future5SesAvgClose | 0.26 % minus 0.47 % = -0.21 % | -10.84 % | | Future2SesAvgClose | 0.12 % minus 0.24 % = -0.12 % | -15.74 % | | Sell Signals - 357 instances | | Future30SesAvgClose | 1.65 % minus 2.30 % = -0.64 % | -5.45 % | | Future5SesAvgClose | 0.35 % minus 0.47 % = -0.12 % | -6.10 % | | Future2SesAvgClose | 0.06 % minus 0.24 % = -0.18 % | -22.56 % | | . | | | | |
| The best buy signal for 30 future sessions was 2.22 % from the Semi-Annual Avg. of Bi-weekly Sawtooth Signals at 70 and 30,and the best sell signal for was -3.40 % from the Semi-Annual Avg. of Bi-weekly Sawtooth Signals at 75 and 25. | | For 5 future sessions the best buy signal was 1.66 % from the Semi-Annual Avg. of Bi-weekly Sawtooth Signals at 70 and 30,and the best sell signal was -3.11 % from the Semi-Annual Avg. of Bi-weekly Sawtooth Signals at 75 and 25. | | The best buy signal for 2 future sessions was 1.41 % from the Semi-Annual Avg. of Bi-weekly Sawtooth Signals at 70 and 30,and the best sell signal was -1.80 % from the Semi-Annual Avg. of Bi-weekly Sawtooth Signals at 75 and 25. |
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