Section I:Classical Analysis provides a good overview of the data for Kmart, and reveals patterns that will be explored with detail in later sections. See KM Classical Analysis.Section II: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 KM Short Term Risk.Section IV: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.Section V: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.Section VI: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 Stock Prices and Politics for KM.Section VII:A look at Traditional Seasonal Analysis of Kmart Historical Prices identifies the best and worst months to be invested. See KM Calendar Year Trends.Section VIII:A view of Momentum Analysis that takes Volume into account as well as Price. See Price-Volume Momentum.Section IX:The mood of the market toward Kmart show up in the Daily Closing Altitude and other Sentiment Indicators. See Investor Mood.Section X:Moving Averages of various flavours are popular indicators. Here we test the predictive ability of different averages as applied to prediction of Kmart prices. See Average Indicators.Section XI:The traditional techniques of Candlestick Analysis may seem fanciful, but certain aspects are firmly grounded in the science of Investor Psychology. See Japanese Candlesticks.Section XII:Multi-spectral analysis reveals behavioral features of KM prices that may not be apparent to ordinary analysis. See Support and Resistance Surfaces.Section XIII:The combination of multi-spectral and mult-dimensional analysis of Kmart historical trends, yields a rich set of behavioral surfaces. See Multi-dimensional Price Behaviors.Section XIV:Predictions and Forecasts. What will happen to KM over the next few months? See KM Share Price Forecasts. |