Part1: Survey of the Analysis Materials
Chapter I:
This look at SLM Corporation begins with a Classical Time Series Analysis of the historical stock prices, providing a vantage point over patterns that will be explored in greater detail in the following chapters. See SLM 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 SLM Corporation Price Volatility.
Chapter III:
This section shows historical volumes for sales of SLM stock, along with Seasonal and Cyclical Trends in Volume. See SLM Historical Volume.
Chapter IV:
A look at Traditional Seasonal Analysis of SLM Corporation Historical Prices identifies the best and worst months to be invested. See SLM 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 SLM Corporation 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:
Price Analysis according to Political Factors reveals some surprising results. Computing trends against the November based political calendar may give better predictions than the traditional calculations based on the January calendar year! See Politics and Prices of SLM.
Chapter VIII:
Volume Stratification Analysis (or VSA) follows price behavior in relation to historical volumes of SLM 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:
A view of Momentum Analysis that takes Volume into account as well as Price. See Momentum Investing Indicators.
Chapter X:
The mood of the market toward SLM Corporation show up in the Daily Closing Altitude and other Sentiment Indicators. See Market Sentiment.
Chapter XI:
The chapter first converts the Price Line to several different mappings based on "Runs" or 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 SLM Corporation
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:
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 SLM Corporation historical trends, yields a rich set of behavioral surfaces. See Price Behavior Surfaces.
Part 3: Synthesis and Projections for the Future
Chapter XVI:
Forecasts are gathered from several sources to predict future price movements. See SLM Price Predictions.
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