| Below - Illustration from Chapter 6: A calibrated version of the Wilder RSI Indicator reached a sell signal level on Monday, November 08, 2010. |
 Summary of Recent Reports:No commentary available from weekend report. |
Table of Contents
Volume I: Traditional Analysis of KIM:
Chapter 1:
Classical Analysis provides a good overview of the data for Kimco Realty Corporation, and reveals patterns that will be explored with detail in later sections. See KIM 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 KIM 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 KIM Historical Volume.
Chapter 4:
A look at Traditional Seasonal Analysis of Kimco Realty Corporation Historical Prices identifies the best and worst months to be invested. See KIM 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 Kimco Realty Corporation 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 KIM stock. We conduct an extensive investigation of the popular "RSI" of Welles Wilder and some of its variations. 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 KIM.
Chapter 8:
Volume Stratification Analysis (or VSA) follows price behavior in relation to historical volumes of KIM stock sales. Knowledge of these behaviors gives us a quantitative metric useful for understanding Support or Resistance Levels, and predicting their strength. 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 Kimco Realty Corporation show up in the Daily Closing Altitude and other Sentiment Indicators. 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:
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 Price Behavior Visualization:
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:
The combination of multi-spectral and mult-dimensional analysis of Kimco Realty Corporation historical trends, yields a rich set of behavioral surfaces. See Price Behavior Surfaces.
Chapter 15:
Frequency Analysis and Waveform Characterization are applied to the historical prices of Kimco Realty Corporation in this chapter. See Frequency and Waveform Analysis.
Chapter 16:
Predictions and Forecasts. What will happen to KIM over the next few months? See KIM 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 KIM. 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 KIM Multi-Company Strategies .
Appendix A:
The statistical abstract for Kimco Realty Corporation gathers the most relevant analysis into a single chapter. See KIM Final Results . |
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