| Below - Illustration from Chapter 6: The most recent signal, "Wilder's 7 Day RSI Signals at 80 and 20", was produced on Friday, November 05, 2010. In this range, it is most often considered to be a sell signal. |
 Summary of Recent Reports:No commentary available from weekend report. |
Table of Contents
Volume I: Traditional Analysis of C:
Chapter 1:
An introductory chapter looks at the price history of C by applying Classical Time Series Analysis. Some of the patterns seen here will prove to be important in further analysis. See C 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 C Volatility Risk.
Chapter 3:
Historical Volume Trends are analyzed here, revealing seasonal patterns and the influence of the Business Cycle. See C Historical Volume.
Chapter 4:
The Traditional Seasonal Analysis of Price Trends can still yield valuable predictive information. See C 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 CitiGroup prices. See Average Indicators.
Volume II: Intermediate Analysis Techniques:
Chapter 6:
Technical Oscillators are compared to test their power as buy or sell signals for speculating in C stock. We conduct an extensive investigation of the popular "RSI" of Welles Wilder and some of its variations. 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 C.
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:
The mood of the market toward CitiGroup 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:
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:
Here we look at periodic frequency and waveform characteristics of the C 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 C Price Predictions.
Volume IV: Final Results and Trading Strategy:
Chapter 17:
This chapter rates some "single company strategies" for CitiGroup 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 C Multi-Company Strategies .
Appendix A:
The statistical abstract for CitiGroup gathers the most relevant analysis into a single chapter. See C Final Results . |
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