| Below - Illustration from Chapter 5: No really strong signals during the past week. The most recent signal, "Moving Avg. 5/20 Divergence", was produced on Friday, February 19, 2010. In this range, it is most often considered to be a sell signal. |
 Summary of Recent Reports:Weekend Report Comments on Saturday, March 06, 2010:
Although the price increased by 3.12 % for WEC this week, the volume actually fell, sending cautionary note for the future. The Wilder RSI is moderately bearish, and going in the wrong direction. The RSI has weakened since last week, but not enough to change the category. The Negative Volume Index Aggregate is near the middle of the range. It seems to be rising, coming from 101.45% to 101.47% in the past month. The phase of the 200 day Simple Moving Average was hardly altered during the week. From the Update 3/10/2010 : The candle representing 3/10/2010 was a stepped down short body Hangman after a Shadowed short body previously. While not a particularly powerful sign, the stepped down candle shows an orderly market, with some selling pressure. No really strong signals during the past week. The most recent signal, "Moving Avg. 5/20 Divergence", was produced on Friday, February 19, 2010. In this range, it is most often considered to be a sell signal. |
Table of Contents
Volume I: WEC Classical Analysis:
Chapter 1:
This look at Wisconsin Energy 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 WEC Classical Analysis.
Chapter 2:
Understanding Price Volatility behaviour is essential to assessing the risk associated with positions across different time spans. See WEC Volatility Risk.
Chapter 3:
This section shows historical volumes for sales of WEC stock, along with Seasonal and Cyclical Trends in Volume. See WEC Historical Volume.
Chapter 4:
A look at Traditional Seasonal Analysis of Wisconsin Energy Corporation Historical Prices identifies the best and worst months to be invested. See WEC 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 Wisconsin Energy Corporation prices. See Average Indicators.
Volume II: Modern Technical Analysis:
Chapter 6:
Technical Oscillators are compared to test their power as buy or sell signals for speculating in WEC stock. We conduct an extensive investigation of the popular "RSI" of Welles Wilder and some of its variations. See Technical Oscillators.
Chapter 7:
Price Analysis according to Political Factors reveals some surprising results. Computing trends against the November based political calendar may give better predictions than the traditional calculations based on the January calendar year! See Politics and Prices of WEC.
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:
The mood of the market toward Wisconsin Energy 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:
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:
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:
Here we look at periodic frequency and waveform characteristics of the WEC 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:
Predictions and Forecasts. What will happen to WEC over the next few months? See WEC Price Predictions.
Volume IV: Final Results and Trading Strategy:
Chapter 17:
This chapter rates some "single company strategies" for Wisconsin Energy Corporation speculators. One of the most important aspects of a good money management strategy is the proper setting of stop loss orders. 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 WEC Multi-Company Strategies .
Appendix A:
The statistical abstract for Wisconsin Energy Corporation gathers the most relevant analysis into a single chapter. See WEC Final Results . |
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