| Below - Illustration from Chapter 5: The most recent signal, "Projected Crossing of SMA 20/200.", was produced on Monday, August 03, 2009. In this range, it is most often considered to be a sell signal. |
 Summary of Recent Reports:Weekend Report Comments on Saturday, August 01, 2009:
Falling price on increasing volume can be bad news for WMI or any other issue. Losses were limited to -4.36 % for the week. WMI seems fairly priced, according to the Wilder RSI, and the position is moving to the bullish. There is a favorable category change from last week's close. The Negative Volume Index Aggregate is near the middle of the range. It seems to be rising, coming from 99.08% to 99.11% in the past month. The price of WMI is 0.00 % below the 200 session average and is continuing to diverge in a negative manner, indicating phase 3 of the the 4 phase MACD cycle is still in effect. From the Update 8/4/2009 : The latest trading day is represented as a stepped up medium body, coming on the heels of a Star short body Hangman on Monday. The stepped candle has a body that is shadowed at one end only. It can indicate an orderly progression of the market. The most recent signal, "Projected Crossing of SMA 20/200.", was produced on Monday, August 03, 2009. In this range, it is most often considered to be a sell signal. |
Table of Contents
Volume I: WMI Classical Analysis:
Chapter 1:
An introductory chapter looks at the price history of WMI by applying Classical Time Series Analysis. Some of the patterns seen here will prove to be important in further analysis. See WMI Classical Analysis.
Chapter 2:
Understanding Price Volatility behaviour is essential to assessing the risk associated with positions across different time spans. See WMI Volatility Risk.
Chapter 3:
Historical Volume Trends are analyzed here, revealing seasonal patterns and the influence of the Business Cycle. See WMI Historical Volume.
Chapter 4:
The Traditional Seasonal Analysis of Price Trends can still yield valuable predictive information. See WMI Calendar Year Trends.
Chapter 5:
Moving Averages of various flavours are popular indicators. Here we test the predictive ability of different averages as applied to prediction of Waste Management, Inc. prices. See Average Indicators.
Volume II: Intermediate Analysis Techniques:
Chapter 6:
Technical Oscillators are compared to test their power as buy or sell signals for speculating in WMI stock. We conduct an extensive investigation of the popular "RSI" of Welles Wilder and some of its variations. See Technical Oscillators.
Chapter 7:
This chapter takes a view somewhat similar to standard analysis of seasonal trends, but it is based on the 4 year or 2 year Political Calendar rather than the 1 year Standard Calendar. Political Seasons work better than Calendar Seasons for predicting prices of many companies. See Politics and Prices of WMI.
Chapter 8:
A sophisticated method associates price levels with historical volumes. Such semi-abstract concepts as Support and Resistance may then be defined with mathematical precision. See Volumetric Analysis.
Chapter 9:
A view of Momentum Analysis that takes Volume into account as well as Price. See Momentum Investing Indicators.
Chapter 10:
The mood of the market toward Waste Management, Inc. show up in the Daily Closing Altitude and other Sentiment Indicators. See Market Sentiment.
Section 11:
The chapter first converts the Price Line to several different mappings based on "Runs" or the number of consecutive price movements in a particular direction. A discussion of the "Monte Carlo Fallacy" and it's relevance to Stock Price Prediction leads to a revisionist method of Price Projection using the Bernoulli Analysis. See Bernoulli Run Analysis.
Chapter 12:
Japanese Candlesticks have a long history, but continue to be used because some of their best concepts are based on universal Investor Psychology. See Japanese Candlesticks.
Volume III: Advanced Visualization and Prediction:
Chapter 13:
Ordinary analysis does not show the features of the behavioral history underneath the price volume line. Here multi-spectral analysis brings the hidden features to the surface. See Support and Resistance.
Chapter 14:
The combination of multi-spectral and mult-dimensional analysis of Waste Management, Inc. historical trends, yields a rich set of behavioral surfaces. See Price Behavior Surfaces.
Chapter 15:
Here we look at periodic frequency and waveform characteristics of the WMI historical price series. Classical techniques such as the Fourier Transform and newer digital filtering techniques contribute to this analysis. See Frequency and Waveform Analysis.
Chapter 16:
Forecasts are gathered from several sources to predict future price movements. See WMI Price Predictions.
Volume IV: Final Results and Trading Strategy:
Chapter 17:
The results of various trading strategies carried out over 10 years are evaluated here for WMI. The results of "buy and hold", "buy the dips", and other strategies are compared, as well as sliding stop settings. See Single Company Strategies.
Chapter 18:
The trading policies that work well when applied to speculation in any one companies stock may fall short when applied to the more usual situation where a person is speculating on a basket or portfolio of companies. Here we find the best muti-company portfolio trading policies. See WMI Multi-Company Strategies .
Appendix A:
The statistical abstract for Waste Management, Inc. gathers the most relevant analysis into a single chapter. See WMI Final Results . |
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