| Below - Illustration from Chapter 15: A signal from the "Semi-Annual Avg. of Bi-weekly Sawtooth Signals middle Crossing", was flagged on Wednesday, November 03, 2010. This value of the indicator is generally interpreted as a sell signal. |
 Summary of Recent Reports:No commentary available from weekend report. |
Table of Contents
Volume I: Classical Analysis:
Chapter 1:
Classical Analysis provides a good overview of the data for GameStop Corp., and reveals patterns that will be explored with detail in later sections. See GME Classical Analysis.
Chapter 2:
Understanding Price Volatility behaviour is essential to assessing the risk associated with positions across different time spans. See GME Volatility Risk.
Chapter 3:
Historical Volume Trends are analyzed here, revealing seasonal patterns and the influence of the Business Cycle. See GME Historical Volume.
Chapter 4:
The Traditional Seasonal Analysis of Price Trends can still yield valuable predictive information. See GME Calendar Year Trends.
Chapter 5:
Moving Averages of various flavours are popular indicators. Here we test the predictive ability of different averages as applied to prediction of GameStop Corp. prices. See Average Indicators.
Volume II: Intermediate Analysis Techniques:
Chapter 6:
Some say that modern analysis began with the successful identification of technical oscillators such as the highly effective Wilder RSI. See Technical Oscillators.
Chapter 7:
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 8:
Volume Stratification Analysis (or VSA) follows price behavior in relation to historical volumes of GME 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 9:
A view of Momentum Analysis that takes Volume into account as well as Price. See Momentum Investing Indicators.
Chapter 10:
Technical Analysis discovers the range of moods of investors toward GME. See Market Sentiment.
Section 11:
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.
Chapter 12:
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.
Volume III: Advanced Visualization and Prediction:
Chapter 13:
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.
Chapter 14:
The combination of multi-spectral and mult-dimensional analysis of GameStop Corp. historical trends, yields a rich set of behavioral surfaces. See Price Behavior Surfaces.
Chapter 15:
Here we look at periodic frequency and waveform characteristics of the GME historical price series. Classical techniques such as the Fourier Transform and newer digital filtering techniques contribute to this analysis. See Frequency and Waveform Analysis.
Chapter 16:
Predictions and Forecasts. What will happen to GME over the next few months? See GME Price Predictions.
Volume IV: Final Results and Trading Strategy:
Chapter 17:
This chapter rates some "single company strategies" for GameStop Corp. speculators. One of the most important aspects of a good money management strategy is the proper setting of stop loss orders. See Single Company Strategies.
Chapter 18:
The trading policies that work well when applied to speculation in any one companies stock may fall short when applied to the more usual situation where a person is speculating on a basket or portfolio of companies. Here we find the best muti-company portfolio trading policies. See GME Multi-Company Strategies .
Appendix A:
The statistical abstract for GameStop Corp. gathers the most relevant analysis into a single chapter. See GME Final Results . |
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