Part1: An Overview of the Analysis
Chapter I:
Classical Analysis provides a good overview of the data for Cincinnati Financial Corporation, and reveals patterns that will be explored with detail in later sections. See CINF Classical Analysis.
Chapter II:
Understanding Price Volatility behaviour is essential to assessing the risk associated with positions across different time spans. See Cincinnati Financial Corporation Price Volatility.
Chapter III:
This section shows historical volumes for sales of CINF stock, along with Seasonal and Cyclical Trends in Volume. See CINF Historical Volume.
Chapter IV:
The Traditional Seasonal Analysis of Price Trends can still yield valuable predictive information. See CINF Seasonal Trends.
Chapter V:
Moving Averages of various flavours are popular indicators. Here we test the predictive ability of different averages as applied to prediction of Cincinnati Financial Corporation prices. See Running Averages.
Part 2: Technical Analysis Topics
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 CINF.
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:
The mood of the market toward Cincinnati Financial Corporation show up in the Daily Closing Altitude and other Sentiment Indicators. 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 Cincinnati Financial 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:
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: Advanced Forecasting Topics
Chapter XVI:
Forecasts are gathered from several sources to predict future price movements. See CINF Price Predictions.
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