Chalk-Talk: Analysis of American Airlines



Section I:

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

Section II:

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

Section IV:

A look at Traditional Seasonal Analysis of American Airlines Historical Prices identifies the best and worst months to be invested. See AMR Calendar Year Trends.

Section V:

Moving Averages of various flavours are popular indicators. Here we test the predictive ability of different averages as applied to prediction of American Airlines prices. See Average Indicators.

Section VI:

Technical Oscillators are compared to test their power as buy or sell signals for speculating in AMR stock. We conduct an extensive investigation of the popular "RSI" of Welles Wilder and some of its variations. See RSI Indicators.

Section 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 Stock Prices and Politics for AMR.

Section VIII:

Volume Stratification Analysis (or VSA) follows price behavior in relation to historical volumes of AMR 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.

Section IX:

A view of Momentum Analysis that takes Volume into account as well as Price. See Price-Volume Momentum.

Section X:

The mood of the market toward American Airlines show up in the Daily Closing Altitude and other Sentiment Indicators. See Investor Mood.

Section 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 Run Analysis.

Section 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 Japanese Candlesticks.

Section 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 Support and Resistance Surfaces.

Section XIV:

The combination of multi-spectral and mult-dimensional analysis of American Airlines historical trends, yields a rich set of behavioral surfaces. See Multi-dimensional Price Behaviors.

Section XVI:

Forecasts are gathered from several sources to predict future price movements. See AMR Share Price Forecasts.

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