Part1: An Overview of the Analysis
Chapter I:
Classical Analysis provides a good overview of the data for Enersis S.A., and reveals patterns that will be explored with detail in later sections. See ENI 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 Enersis S.A. Price Volatility.
Chapter III:
Historical Volume Trends are analyzed here, revealing seasonal patterns and the influence of the Business Cycle. See ENI Historical Volume.
Chapter IV:
A look at Traditional Seasonal Analysis of Enersis S.A. Historical Prices identifies the best and worst months to be invested. See ENI 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 Enersis S.A. prices. See Running Averages.
Part 2: Technical Analysis Topics
Chapter VI:
Technical Oscillators are compared to test their power as buy or sell signals for speculating in ENI stock. We conduct an extensive investigation of the popular "RSI" of Welles Wilder and some of its variations. 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 ENI.
Chapter VIII:
Volume Stratification Analysis (or VSA) follows price behavior in relation to historical volumes of ENI 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:
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 ENI. 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 Enersis S.A.
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:
Multi-spectral analysis reveals behavioral features of ENI prices that may not be apparent to ordinary analysis. See Multi-Spectral Analysis.
Chapter XIV:
The combination of multi-spectral and mult-dimensional analysis of Enersis S.A. historical trends, yields a rich set of behavioral surfaces. See Price Behavior Surfaces.
Part 3: Synthesis and Forecasting
Chapter XVI:
Predictions and Forecasts. What will happen to ENI over the next few months? See ENI Price Predictions.
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