Section I:An introductory chapter looks at the price history of NYT by applying Classical Time Series Analysis. Some of the patterns seen here will prove to be important in further analysis. See NYT Classical Analysis.Section II:This survey looks at historical volatility of The New York Times Company prices. The risks associated with long and short term positions can be evaluated according to projected shapes of the Volatility Curve. See NYT Short Term Risk.Section IV:The Traditional Seasonal Analysis of Price Trends can still yield valuable predictive information. See NYT Calendar Year Trends.Section V:Moving Averages of various flavours are popular indicators. Here we test the predictive ability of different averages as applied to prediction of The New York Times Company prices. See Average Indicators.Section VI:Some say that modern analysis began with the successful identification of technical oscillators such as the highly effective Wilder RSI. See RSI Indicators.Section VII:A different type of Seasonal Analysis is applied to NYT historical prices. Here the 24 month, November based Political Calendar is the basis for non-standard Seasonal Analysis. See Stock Prices and Politics for NYT.Section VIII:Volume Stratification Analysis (or VSA) follows price behavior in relation to historical volumes of NYT 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.Section IX: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 Price-Volume Momentum.Section X:Technical Analysis discovers the range of moods of investors toward NYT. See Investor Mood.Section XI: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.Section XII: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.Section XIII: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 Surfaces.Section XIV: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 Multi-dimensional Price Behaviors.Section XVI:Forecasts are gathered from several sources to predict future price movements. See NYT Share Price Forecasts. |