| Below - Illustration from Chapter 5: Recently there have not been any particularly significant signals. A signal from the "Moving Avg. 20/200 Divergence", was flagged on Thursday, March 30, 2006. This value of the indicator is generally interpreted as a sell signal. |
 Summary of Recent Reports:Weekend Report Comments on Saturday, April 08, 2006:
Volume and Price increased together for LU this 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. There is a favorable category change from last week's close. No signal from the Negative Volume Index: 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 4/13/2006 : The last candlestick is seen as a stepped up short body Hammer, following the medium body on the previous session. The stepped candle has a body that is shadowed at one end only. It can indicate an orderly progression of the market. Recently there have not been any particularly significant signals. A signal from the "Moving Avg. 20/200 Divergence", was flagged on Thursday, March 30, 2006. This value of the indicator is generally interpreted as a sell signal. |
Table of Contents
Volume 1: LU 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 Lucent Technologies. See LU 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 LU Volatility Risk.
Chapter 3:
Changes in Daily Volume are tracked in time here. Time Series Analysis demonstrates Trends and Cyclical Patterns in the number of shares transacted. See LU Historical Volume.
Chapter 4:
A look at Traditional Seasonal Analysis of Lucent Technologies Historical Prices identifies the best and worst months to be invested. See LU 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 Lucent Technologies 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 LU.
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 LU. 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 LU 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 Lucent Technologies in this chapter. See Frequency and Waveform Analysis.
Chapter 16:
Forecasts are gathered from several sources to predict future price movements. See LU Price Predictions.
Volume IV: Final Results and Trading Strategy:
Chapter 17:
This chapter rates some "single company strategies" for Lucent Technologies 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 LU Multi-Company Strategies .
Appendix A:
The statistical abstract for Lucent Technologies gathers the most relevant analysis into a single chapter. See LU Final Results . |
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