Section I:Classical Analysis provides a good overview of the data for ATMEL Corp, and reveals patterns that will be explored with detail in later sections. See ATML Classical Analysis.Section 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 ATML Short Term Risk.Section IV:A look at Traditional Seasonal Analysis of ATMEL Corp Historical Prices identifies the best and worst months to be invested. See ATML Calendar Year Trends.Section 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 ATMEL Corp prices. See Average Indicators.Section VI:Some say that modern analysis began with the successful identification of technical oscillators such as the highly effective Wilder RSI. 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 ATML.Section VIII:Volume Stratification Analysis tracks the volumes associated with price levels over the entire history of a stock. The resulting analysis yields a framework for understanding the mechanism behind support and resistance levels, and a scientific basis for predicting price behaviors due to those levels. 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:Technical Analysis discovers the range of moods of investors toward ATML. See Investor Mood.Section 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 Run Analysis.Section XII:The traditional techniques of Candlestick Analysis may seem fanciful, but certain aspects are firmly grounded in the science of Investor Psychology. See Japanese Candlesticks.Section XIII:Multi-spectral analysis reveals behavioral features of ATML prices that may not be apparent to ordinary analysis. See Support and Resistance Surfaces.Section 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 Multi-dimensional Price Behaviors.Section XVI:Forecasts are gathered from several sources to predict future price movements. See ATML Share Price Forecasts. |