Part1: An Overview of the Analysis
Chapter I:
GameStop Corp. historical prices are subjected to old fashioned Classical Time Series Analysis in this section. Patterns that emerge here will be a starting point for more detailed analysis. See GME Classical Analysis.
Chapter II:
Understanding Price Volatility behaviour is essential to assessing the risk associated with positions across different time spans. See GameStop Corp. Price Volatility.
Chapter III:
Historical Volume Trends are analyzed here, revealing seasonal patterns and the influence of the Business Cycle. See GME Historical Volume.
Chapter IV:
A look at Traditional Seasonal Analysis of GameStop Corp. Historical Prices identifies the best and worst months to be invested. See GME 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 GameStop Corp. prices. See Running Averages.
Part 2: Analysis
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 GME.
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:
A view of Momentum Analysis that takes Volume into account as well as Price. See Momentum Investing Indicators.
Chapter X:
Technical Analysis discovers the range of moods of investors toward GME. 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 GameStop 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 GME 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: Synthesis and Projections for the Future
Chapter XVI:
Predictions and Forecasts. What will happen to GME over the next few months? See GME Price Predictions.
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