Chapter Index for TYC

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Below - Illustration from Chapter 5: This week has not seen any highly significant signals. A signal from the "Moving Avg. 5/20 Divergence", was flagged on Wednesday, February 24, 2010. This value of the indicator is generally interpreted as a sell signal.
Week-end Altitude

Summary of Recent Reports:

Weekend Report Comments on Saturday, March 13, 2010:
Although the price increased by 0.40 % for TYC this week, the volume actually fell, sending cautionary note for the future. Caution is advised on account of the unfavorable level of the Wilder RSI, although it has improved in the last week . The general RSI remains in the same range as last week, with a small favorable drift.

The Negative Volume Index Aggregate is near the middle of the range. It seems to be rising, coming from 101.42% to 101.46% in the past month.

The phase of the 200 day Simple Moving Average was hardly altered during the week.

From the Update 3/18/2010 : The candle for3/18/2010 was a Shadowed short body coming after the prior day's stepped down medium body. A shadowed session is one with an open-to-close range that is completely within the bounds of the previous day's open-to-close range. This indicates a lack of direction in the market for this issue.

This week has not seen any highly significant signals. A signal from the "Moving Avg. 5/20 Divergence", was flagged on Wednesday, February 24, 2010. This value of the indicator is generally interpreted as a sell signal.





Table of Contents



Volume I: Classical 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 Tyco. See TYC Classical Analysis.

Chapter 2:

Understanding Price Volatility behaviour is essential to assessing the risk associated with positions across different time spans. See TYC Volatility Risk.

Chapter 3:

This section shows historical volumes for sales of TYC stock, along with Seasonal and Cyclical Trends in Volume. See TYC Historical Volume.

Chapter 4:

The Traditional Seasonal Analysis of Price Trends can still yield valuable predictive information. See TYC 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 Tyco 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 TYC.

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 TYC. 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:

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 Tyco in this chapter. See Frequency and Waveform Analysis.

Chapter 16:

Forecasts are gathered from several sources to predict future price movements. See TYC 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 TYC. 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 TYC Multi-Company Strategies .

Appendix A:

The statistical abstract for Tyco gathers the most relevant analysis into a single chapter. See TYC Final Results .
General Market Conditions

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