Part1: Survey of the Analysis Materials
Chapter I:
An introductory chapter looks at the price history of XLNX by applying Classical Time Series Analysis. Some of the patterns seen here will prove to be important in further analysis. See XLNX Classical Analysis.
Chapter 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 Xilinx, Inc. Price Volatility.
Chapter III:
Historical Volume Trends are analyzed here, revealing seasonal patterns and the influence of the Business Cycle. See XLNX Historical Volume.
Chapter IV:
A look at Traditional Seasonal Analysis of Xilinx, Inc. Historical Prices identifies the best and worst months to be invested. See XLNX Seasonal Trends.
Chapter V:
Moving Averages of various flavours are popular indicators. Here we test the predictive ability of different averages as applied to prediction of Xilinx, Inc. prices. See Running Averages.
Part 2: Traditional Analysis Topics
Chapter VI:
Technical Oscillators are compared to test their power as buy or sell signals for speculating in XLNX stock. We conduct an extensive investigation of the popular "RSI" of Welles Wilder and some of its variations. See Technical Oscillators
Chapter VII:
A different type of Seasonal Analysis is applied to XLNX historical prices. Here the 24 month, November based Political Calendar is the basis for non-standard Seasonal Analysis. See Politics and Prices of XLNX.
Chapter VIII:
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 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:
Technical Analysis discovers the range of moods of investors toward XLNX. See Market Sentiment.
Chapter XI:
The length of "Runs", (the number of consecutive price movements up or down) reveal some new ways to visualize Price Series Data. 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 Xilinx, Inc.
Chapter XII:
The traditional techniques of Candlestick Analysis may seem fanciful, but certain aspects are firmly grounded in the science of Investor Psychology. See Candlestick Analysis.
Chapter 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 Multi-Spectral Analysis.
Chapter XIV:
The combination of multi-spectral and mult-dimensional analysis of Xilinx, Inc. historical trends, yields a rich set of behavioral surfaces. See Price Behavior Surfaces.
Part 3: Advanced Forecasting Topics
Chapter XVI:
Predictions and Forecasts. What will happen to XLNX over the next few months? See XLNX Price Predictions.
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