Volume 1: APWR Technical Analysis:
Chapter 1:
AstroPower 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 APWR Classical Analysis.
Chapter 2:
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 APWR Short Term Risk.
Chapter 3:
Changes in Daily Volume are tracked in time here. Time Series Analysis demonstrates Trends and Cyclical Patterns in the number of shares transacted. See APWR Historical Volume.
Volume II: Intermediate Analysis Techniques:
Chapter 4:
Volume Stratification Analysis tracks the volumes associated with price levels over the entire history of a stock. The resulting analysis yields a framework for understanding the mechanism behind support and resistance levels, and a scientific basis for predicting price behaviors due to those levels. See Volumetric Analysis.
Section 5:
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 Run Analysis.
Chapter 6:
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 APWR.
Chapter 7:
The Traditional Seasonal Analysis of Price Trends can still yield valuable predictive information. See APWR Calendar Year Trends.
Chapter 8:
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 9:
Technical Analysis discovers the range of moods of investors toward APWR. See Market Sentiment.
Chapter 10:
Moving Averages of various flavours are popular indicators. Here we test the predictive ability of different averages as applied to prediction of AstroPower prices. See Average Indicators.
Chapter 11:
The traditional techniques of Candlestick Analysis may seem fanciful, but certain aspects are firmly grounded in the science of Investor Psychology. See Japanese Candlesticks.
Volume III: Advanced Visualization and Prediction:
Chapter 12:
Multi-spectral analysis reveals behavioral features of APWR prices that may not be apparent to ordinary analysis. See Support and Resistance Surfaces.
Chapter 13:
The combination of multi-spectral and mult-dimensional analysis of AstroPower historical trends, yields a rich set of behavioral surfaces. See Multi-dimensional Price Behaviors.
Chapter 14:
Predictions and Forecasts. What will happen to APWR over the next few months? See APWR Price Predictions.
Volume IV: Final Results and Trading Strategy:
Chapter 15:
The statistical abstract for AstroPower gathers the most relevant analysis into a single chapter. See APWR Final Results .
Chapter 16:
Trading Strategies are selected to give the best probability of return according to allowable risk and the price behavior characteristics of APWR. See APWR Trading Strategy. |
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