| Below - This chart from Chapter 5 reveals a strong signal: The 20 session moving average rose up over the 200 bar moving average in the past 4 days. |
 Summary of Recent Reports:From the Update 3/2/2010 : This signal is of interest: The 20 session moving average rose up over the 200 bar moving average in the past 4 days. The latest trading day is represented as a stepped up medium body, coming on the heels of a Star short body on Monday. The stepped candle has a body that is shadowed at one end only. It can indicate an orderly progression of the market. Weekend Report Comments on Saturday, February 27, 2010:
This week's transaction volume increased as well as the price for CPWR. According to the Wilder RSI, CPWR is in the middle, but it is moving in a bearish direction. Since last week, there has been a slip toward the bear side. The Negative Volume Index Aggregate is near the middle of the range. It seems to be rising, coming from 99.83% to 99.88% in the past month. After increasing the spread over the week, CPWR is now 2.00 % above the 200 session Simple Moving Average. |
Table of Contents
Volume I: Traditional Analysis of CPWR:
Chapter 1:
The Classical Analysis of Time Series establishes a good starting point in the analysis, and provides a high vantage point for viewing patterns of behaviour in the prices over the entire history of Compuware. See CPWR 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 CPWR Volatility Risk.
Chapter 3:
This section shows historical volumes for sales of CPWR stock, along with Seasonal and Cyclical Trends in Volume. See CPWR Historical Volume.
Chapter 4:
The Traditional Seasonal Analysis of Price Trends can still yield valuable predictive information. See CPWR 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 Compuware prices. See Average Indicators.
Volume II: Mid Level Technical Analysis:
Chapter 6:
Technical Oscillators are compared to test their power as buy or sell signals for speculating in CPWR stock. We conduct an extensive investigation of the popular "RSI" of Welles Wilder and some of its variations. See Technical Oscillators.
Chapter 7:
A different type of Seasonal Analysis is applied to CPWR historical prices. Here the 24 month, November based Political Calendar is the basis for non-standard Seasonal Analysis. See Politics and Prices of CPWR.
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:
Technical Analysis discovers the range of moods of investors toward CPWR. See Market Sentiment.
Section 11:
This section visualizes mappings based on 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:
The traditional techniques of Candlestick Analysis may seem fanciful, but certain aspects are firmly grounded in the science of Investor Psychology. See Japanese Candlesticks.
Volume III: Advanced Price Behavior Visualization:
Chapter 13:
Multi-spectral analysis reveals behavioral features of CPWR 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 Compuware 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 CPWR 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 CPWR 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 CPWR. 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 CPWR Multi-Company Strategies .
Appendix A:
The statistical abstract for Compuware gathers the most relevant analysis into a single chapter. See CPWR Final Results . |
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