Part1: An Independent View of the Analysis
Chapter I:
Classical Analysis provides a good overview of the data for Starbucks Corp, and reveals patterns that will be explored with detail in later sections. See SBUX Classical Analysis.
Chapter II:
This survey looks at historical volatility of Starbucks Corp prices. The risks associated with long and short term positions can be evaluated according to projected shapes of the Volatility Curve. See Starbucks Corp Price Volatility.
Chapter III:
This section shows historical volumes for sales of SBUX stock, along with Seasonal and Cyclical Trends in Volume. See SBUX Historical Volume.
Chapter IV:
The Traditional Seasonal Analysis of Price Trends can still yield valuable predictive information. See SBUX Seasonal Trends.
Chapter V:
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 Starbucks Corp prices. See Running Averages.
Part 2: Technical Analysis Topics
Chapter VI:
Some say that modern analysis began with the successful identification of technical oscillators such as the highly effective Wilder RSI. See Technical Oscillators
Chapter VII:
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 SBUX.
Chapter VIII:
Volume Stratification Analysis (or VSA) follows price behavior in relation to historical volumes of SBUX 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 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 Momentum Investing Indicators.
Chapter X:
The mood of the market toward Starbucks Corp show up in the Daily Closing Altitude and other Sentiment Indicators. See Market Sentiment.
Chapter XI:
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 Analysis of Starbucks Corp
Chapter 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 Candlestick Analysis.
Chapter XIII:
Multi-spectral analysis reveals behavioral features of SBUX prices that may not be apparent to ordinary analysis. See Multi-Spectral Analysis.
Chapter 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 Price Behavior Surfaces.
Part 3: Advanced Forecasting Topics
Chapter XVI:
Forecasts are gathered from several sources to predict future price movements. See SBUX Price Predictions.
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