| Below - Illustration from Chapter 9: Recently there have not been any particularly significant signals. A signal from the "VPI Volume Portion Index Signals at 80 and 20", was flagged on Friday, February 12, 2010. This value of the indicator is generally interpreted as a buy signal. |
 Summary of Recent Reports:Weekend Report Comments on Saturday, February 27, 2010:
As of closing time on the NYSE Friday, February 26, 2010, the price has been down for 6 days in a row. It is not good news when the price of IR is down and the volume is increasing. So far, the damage has been limited to a -4.35 % decline for the week. According to the Wilder RSI, IR is in the middle, but it is moving in a bearish direction. The RSI has weakened since last week, but not enough to change the category. No signal from the Negative Volume Index: It lost ground during the last week, but is still up for the month. IR is now in phase two of the oscillation cycle around the 200 session average. The price is 6.00 % above the line, but some convergence has taken place during the week. From the Update 2/26/2010 : The recent session is represented as a short body Hangman, following the Star Doji on Thursday. Recently there have not been any particularly significant signals. A signal from the "VPI Volume Portion Index Signals at 80 and 20", was flagged on Friday, February 12, 2010. This value of the indicator is generally interpreted as a buy signal. |
Table of Contents
Volume I: IR Classical Analysis:
Chapter 1:
Classical Analysis provides a good overview of the data for Ingersoll-Rand Company Limited, and reveals patterns that will be explored with detail in later sections. See IR Classical Analysis.
Chapter 2:
This survey looks at historical volatility of Ingersoll-Rand Company Limited prices. The risks associated with long and short term positions can be evaluated according to projected shapes of the Volatility Curve. See IR Volatility Risk.
Chapter 3:
Historical Volume Trends are analyzed here, revealing seasonal patterns and the influence of the Business Cycle. See IR Historical Volume.
Chapter 4:
The Traditional Seasonal Analysis of Price Trends can still yield valuable predictive information. See IR Calendar Year Trends.
Chapter 5:
Moving Averages of various flavours are popular indicators. Here we test the predictive ability of different averages as applied to prediction of Ingersoll-Rand Company Limited prices. See Average Indicators.
Volume II: Modern Technical Analysis:
Chapter 6:
Some say that modern analysis began with the successful identification of technical oscillators such as the highly effective Wilder RSI. See Technical Oscillators.
Chapter 7:
A different type of Seasonal Analysis is applied to IR historical prices. Here the 24 month, November based Political Calendar is the basis for non-standard Seasonal Analysis. See Politics and Prices of IR.
Chapter 8:
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 9:
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 10:
The mood of the market toward Ingersoll-Rand Company Limited show up in the Daily Closing Altitude and other Sentiment Indicators. See Market Sentiment.
Section 11:
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.
Chapter 12:
The traditional techniques of Candlestick Analysis may seem fanciful, but certain aspects are firmly grounded in the science of Investor Psychology. See Japanese Candlesticks.
Volume III: Advanced Visualization and Prediction:
Chapter 13:
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.
Chapter 14:
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.
Chapter 15:
Here we look at periodic frequency and waveform characteristics of the IR historical price series. Classical techniques such as the Fourier Transform and newer digital filtering techniques contribute to this analysis. See Frequency and Waveform Analysis.
Chapter 16:
Forecasts are gathered from several sources to predict future price movements. See IR Price Predictions.
Volume IV: Final Results and Trading Strategy:
Chapter 17:
This chapter rates some "single company strategies" for Ingersoll-Rand Company Limited speculators. One of the most important aspects of a good money management strategy is the proper setting of stop loss orders. See Single Company Strategies.
Chapter 18:
The trading policies that work well when applied to speculation in any one companies stock may fall short when applied to the more usual situation where a person is speculating on a basket or portfolio of companies. Here we find the best muti-company portfolio trading policies. See IR Multi-Company Strategies .
Appendix A:
The statistical abstract for Ingersoll-Rand Company Limited gathers the most relevant analysis into a single chapter. See IR Final Results . |
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