| Below - Illustration from Chapter 15: Recently there have not been any particularly significant signals. A signal from the "Semi-Annual Avg. of Bi-weekly Sawtooth Signals at 70 and 30", was flagged on Tuesday, October 05, 2010. This value of the indicator is generally interpreted as a sell signal. |
 Summary of Recent Reports:No commentary available from weekend report. |
Table of Contents
Volume 1: XEL Technical Analysis:
Chapter 1:
An introductory chapter looks at the price history of XEL by applying Classical Time Series Analysis. Some of the patterns seen here will prove to be important in further analysis. See XEL Classical Analysis.
Chapter 2:
This survey looks at historical volatility of Xcel Energy Inc. prices. The risks associated with long and short term positions can be evaluated according to projected shapes of the Volatility Curve. See XEL Volatility Risk.
Chapter 3:
This section shows historical volumes for sales of XEL stock, along with Seasonal and Cyclical Trends in Volume. See XEL Historical Volume.
Chapter 4:
A look at Traditional Seasonal Analysis of Xcel Energy Inc. Historical Prices identifies the best and worst months to be invested. See XEL 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 Xcel Energy Inc. prices. See Average Indicators.
Volume II: Modern 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:
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 XEL.
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 XEL. 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 XEL 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 XEL 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 XEL Price Predictions.
Volume IV: Final Results and Trading Strategy:
Chapter 17:
This chapter rates some "single company strategies" for Xcel Energy Inc. 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 XEL Multi-Company Strategies .
Appendix A:
The statistical abstract for Xcel Energy Inc. gathers the most relevant analysis into a single chapter. See XEL Final Results . |
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