| Below - Illustration from Chapter 5: Recently there have not been any particularly significant signals. A signal from the "Moving Avg. 5/20 Divergence", was flagged on Thursday, February 18, 2010. This value of the indicator is generally interpreted as a sell signal. |
 Summary of Recent Reports:Weekend Report Comments on Saturday, February 27, 2010:
Falling price on increasing volume can be bad news for DD or any other issue. So far, the damage has been limited to a -0.91 % decline for the week. DD seems fairly priced, according to the Wilder RSI, and the position is moving to the bullish. The conventional RSI is almost unchanged from the previous week. Negative Volume Indexes are running at fair price levels. It lost ground during the last week, but is still up for the month. The phase of the 200 day Simple Moving Average was hardly altered during the week. From the Update 3/4/2010 : The recent session is represented as a Star short body, following the stepped up short body Hammer on Wednesday. A star happens when the body range is entirely outside the range of the day before. So there has been a gap, indicating a strong new direction. Recently there have not been any particularly significant signals. A signal from the "Moving Avg. 5/20 Divergence", was flagged on Thursday, February 18, 2010. This value of the indicator is generally interpreted as a sell signal. |
Table of Contents
Volume I: DD Classical Analysis:
Chapter 1:
Classical Analysis provides a good overview of the data for Dupont, and reveals patterns that will be explored with detail in later sections. See DD 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 DD 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 DD Historical Volume.
Chapter 4:
The Traditional Seasonal Analysis of Price Trends can still yield valuable predictive information. See DD 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 Dupont 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:
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 DD.
Chapter 8:
Volume Stratification Analysis tracks the volumes associated with price levels over the entire history of a stock. The resulting analysis yields a framework for understanding the mechanism behind support and resistance levels, and a scientific basis for predicting price behaviors due to those levels. 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 Dupont show up in the Daily Closing Altitude and other Sentiment Indicators. 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:
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 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 Dupont in this chapter. See Frequency and Waveform Analysis.
Chapter 16:
Forecasts are gathered from several sources to predict future price movements. See DD Price Predictions.
Volume IV: Final Results and Trading Strategy:
Chapter 17:
This chapter rates some "single company strategies" for Dupont 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 DD Multi-Company Strategies .
Appendix A:
The statistical abstract for Dupont gathers the most relevant analysis into a single chapter. See DD Final Results . |
| 
Subscribe More than 70 Hi-Rez charts daily for Dupont: |
| |
|
