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Pure Technical Analysis of United Airlines





Part1: Survey of the Analysis Materials



Chapter I:

Classical Analysis provides a good overview of the data for United Airlines, and reveals patterns that will be explored with detail in later sections. See UAL Classical Analysis.

Chapter II:

This survey looks at historical volatility of United Airlines prices. The risks associated with long and short term positions can be evaluated according to projected shapes of the Volatility Curve. See United Airlines Price Volatility.

Chapter III:

Historical Volume Trends are analyzed here, revealing seasonal patterns and the influence of the Business Cycle. See UAL Historical Volume.

Chapter IV:

The Traditional Seasonal Analysis of Price Trends can still yield valuable predictive information. See UAL 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 United Airlines prices. See Running Averages.




Part 2: Traditional 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:

A different type of Seasonal Analysis is applied to UAL historical prices. Here the 24 month, November based Political Calendar is the basis for non-standard Seasonal Analysis. See Politics and Prices of UAL.

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 United Airlines show up in the Daily Closing Altitude and other Sentiment Indicators. See Market Sentiment.

Chapter XI:

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 Analysis of United Airlines

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 UAL 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 United Airlines 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 UAL Price Predictions.