| Below - Illustration from Chapter 15: This week has not seen any highly significant signals. On Wednesday, February 24, 2010, the "Semi-Annual Avg. of Bi-weekly Sawtooth Signals middle Crossing", indicator produced a possible sell alert. |
 Summary of Recent Reports:Weekend Report Comments on Saturday, March 13, 2010:
Over the past 2 sessions (ending Friday, March 12, 2010), the closing price has been lower than the previous day. Last week the price of RTN went down and the volume grew. So far, the damage has been limited to a -0.75 % decline for the week. Conditions are becoming more favorable, according to the 14 bar Wilder RSI, but the values are in the middle of the range, indicating this issue is probably near the fair price for the time being. The conventional RSI is almost unchanged from the previous week. Negative Volume Indexes are running at fair price levels. This indicator is down over the last month. Since the previous week the phase of the oscillator around the 200 bar average is almost unchanged. From the Update 3/18/2010 : The candle representing 3/18/2010 was a short body Hammer after a short body previously. This week has not seen any highly significant signals. On Wednesday, February 24, 2010, the "Semi-Annual Avg. of Bi-weekly Sawtooth Signals middle Crossing", indicator produced a possible sell alert. |
Table of Contents
Volume I: Classical Analysis:
Chapter 1:
Raytheon Company historical prices are subjected to old fashioned Classical Time Series Analysis in this section. Patterns that emerge here will be a starting point for more detailed analysis. See RTN 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 RTN Volatility Risk.
Chapter 3:
Historical Volume Trends are analyzed here, revealing seasonal patterns and the influence of the Business Cycle. See RTN Historical Volume.
Chapter 4:
The Traditional Seasonal Analysis of Price Trends can still yield valuable predictive information. See RTN 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 Raytheon Company 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 RTN 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 RTN historical prices. Here the 24 month, November based Political Calendar is the basis for non-standard Seasonal Analysis. See Politics and Prices of RTN.
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 RTN. See Market Sentiment.
Section 11:
The chapter first converts the Price Line to several different mappings based on "Runs" or 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 Visualization and Prediction:
Chapter 13:
Multi-spectral analysis reveals behavioral features of RTN 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:
Frequency Analysis and Waveform Characterization are applied to the historical prices of Raytheon Company in this chapter. See Frequency and Waveform Analysis.
Chapter 16:
Forecasts are gathered from several sources to predict future price movements. See RTN Price Predictions.
Volume IV: Final Results and Trading Strategy:
Chapter 17:
This chapter rates some "single company strategies" for Raytheon Company 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 RTN Multi-Company Strategies .
Appendix A:
The statistical abstract for Raytheon Company gathers the most relevant analysis into a single chapter. See RTN Final Results . |
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