| Below - Illustration from Chapter 5: 4 days ago, the 5 session moving average rose up over the 200 bar moving average. |
 Summary of Recent Reports:No commentary available from weekend report. |
Table of Contents
Volume I: Traditional Analysis of JDSU:
Chapter 1:
This look at JDS Uniphase Corporation begins with a Classical Time Series Analysis of the historical stock prices, providing a vantage point over patterns that will be explored in greater detail in the following chapters. See JDSU Classical Analysis.
Chapter 2:
This survey looks at historical volatility of JDS Uniphase Corporation prices. The risks associated with long and short term positions can be evaluated according to projected shapes of the Volatility Curve. See JDSU Volatility Risk.
Chapter 3:
Changes in Daily Volume are tracked in time here. Time Series Analysis demonstrates Trends and Cyclical Patterns in the number of shares transacted. See JDSU Historical Volume.
Chapter 4:
A look at Traditional Seasonal Analysis of JDS Uniphase Corporation Historical Prices identifies the best and worst months to be invested. See JDSU 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 JDS Uniphase Corporation 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 JDSU.
Chapter 8:
Volume Stratification Analysis (or VSA) follows price behavior in relation to historical volumes of JDSU stock sales. Knowledge of these behaviors gives us a quantitative metric useful for understanding Support or Resistance Levels, and predicting their strength. 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 JDSU. 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:
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 JDSU prices that may not be apparent to ordinary analysis. See Support and Resistance.
Chapter 14:
Combining the historical behavior surfaces with the geometry of long standing periodic price oscillations yields a behavior surface of more than three dimensions which has an extremely low residual error compared to other methods of analysis. See Price Behavior Surfaces.
Chapter 15:
Here we look at periodic frequency and waveform characteristics of the JDSU 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 JDSU 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 JDSU. 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 JDSU Multi-Company Strategies .
Appendix A:
The statistical abstract for JDS Uniphase Corporation gathers the most relevant analysis into a single chapter. See JDSU Final Results . |
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