| Below - Illustration from Chapter 9: VPI or Volume Portion Index, is a momentum investing indicator that reached a peak on Monday, April 10, 2006. |
 Summary of Recent Reports:Weekend Report Comments on Saturday, May 17, 2008: When both price and volume fall, as was the case with MATR this week, a lack of buying interest is indicated. Sometimes this presents an opportunity. Conditions are becoming more favorable, according to the 14 bar Wilder RSI, but the values are in the middle of the range, indicating this issue is probably near the fair price for the time being. There is a favorable category change from last week's close. No signal from the Negative Volume Index: It lost ground during the last week, but is still up for the month. The phase of the 200 day Simple Moving Average was hardly altered during the week. From the Update 4/13/2006 : The candle on 5/16/2008 is a perfect Doji with no shadow. This is after a perfect Doji with no shadowon the preceeding session. VPI or Volume Portion Index, is a momentum investing indicator that reached a peak on Monday, April 10, 2006. |
Table of Contents
Volume I: Traditional Analysis of MATR:
Chapter 1:
Classical Analysis provides a good overview of the data for Matria HealthCare, and reveals patterns that will be explored with detail in later sections. See MATR Classical Analysis.
Chapter 2:
Risks associated with short and long period price changes can be understood through Volatility Analysis. Here the impact of the Volatility Curve on the potential profitability positions across different time spans is shown. See MATR Volatility Risk.
Chapter 3:
Historical Volume Trends are analyzed here, revealing seasonal patterns and the influence of the Business Cycle. See MATR Historical Volume.
Chapter 4:
A look at Traditional Seasonal Analysis of Matria HealthCare Historical Prices identifies the best and worst months to be invested. See MATR Calendar Year Trends.
Chapter 5:
One of the most popular indicators, the Moving Average, comes in many variations. Here we test the predictive ability of different averages as applied to prediction of Matria HealthCare prices. See Average Indicators.
Volume II: Mid Level Technical Analysis:
Chapter 6:
Some say that modern analysis began with the successful identification of technical oscillators such as the highly effective Wilder RSI. 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 MATR.
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:
Analysis of Market Momentum as the product of Price and Volume drives an interpretation considerably more sophisticated than those that consider Price Momentum alone. See Momentum Investing Indicators.
Chapter 10:
Technical Analysis discovers the range of moods of investors toward MATR. 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 Price Behavior Visualization:
Chapter 13:
Multi-spectral analysis reveals behavioral features of MATR prices that may not be apparent to ordinary analysis. See Support and Resistance.
Chapter 14:
The combination of multi-spectral and mult-dimensional analysis of Matria HealthCare 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 MATR 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 MATR 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 MATR. 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 MATR Multi-Company Strategies .
Appendix A:
The statistical abstract for Matria HealthCare gathers the most relevant analysis into a single chapter. See MATR Final Results . |
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