| Below - Illustration from Chapter 5: On Wednesday, November 10, 2010, the "Projected Crossing of SMA 20/200.", indicator produced a possible buy alert. |
 Summary of Recent Reports:No commentary available from weekend report. |
Table of Contents
Volume 1: Technical Analysis:
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 Exelon Corporation. See EXC Classical Analysis.
Chapter 2:
This survey looks at historical volatility of Exelon Corporation prices. The risks associated with long and short term positions can be evaluated according to projected shapes of the Volatility Curve. See EXC Volatility Risk.
Chapter 3:
This section shows historical volumes for sales of EXC stock, along with Seasonal and Cyclical Trends in Volume. See EXC Historical Volume.
Chapter 4:
A look at Traditional Seasonal Analysis of Exelon Corporation Historical Prices identifies the best and worst months to be invested. See EXC 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 Exelon Corporation 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 EXC 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 EXC.
Chapter 8:
Volume Stratification Analysis (or VSA) follows price behavior in relation to historical volumes of EXC 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:
The mood of the market toward Exelon Corporation show up in the Daily Closing Altitude and other Sentiment Indicators. See Market Sentiment.
Section 11:
The length of "Runs", (the number of consecutive price movements up or down) reveal some new ways to visualize Price Series Data. 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:
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:
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:
Frequency Analysis and Waveform Characterization are applied to the historical prices of Exelon Corporation in this chapter. See Frequency and Waveform Analysis.
Chapter 16:
Forecasts are gathered from several sources to predict future price movements. See EXC 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 EXC. 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 EXC Multi-Company Strategies .
Appendix A:
The statistical abstract for Exelon Corporation gathers the most relevant analysis into a single chapter. See EXC Final Results . |
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