| Below - Illustration from Chapter 5: No really strong signals during the past week. On Friday, February 19, 2010, the "Moving Avg. 5/20 Divergence", indicator produced a possible sell alert. |
 Summary of Recent Reports:Weekend Report Comments on Saturday, March 20, 2010:
This week's transaction volume increased as well as the price for MMM. According to the Wilder RSI, MMM 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 seems to be rising, coming from 99.59% to 99.60% in the past month. The phase of the 200 day Simple Moving Average was hardly altered during the week. From the Update 3/19/2010 : The candle representing 3/19/2010 was an Engulfing long day after a Star long day previously. When a session has an open-to-close range that exceeds the range (body) of the candle from the day before, it is said to be "Engulfing". This higher inner volatility shows uncertainty, perhaps because two groups of speculators disagree on whether the price should be lower or higher than it is. No really strong signals during the past week. On Friday, February 19, 2010, the "Moving Avg. 5/20 Divergence", indicator produced a possible sell alert. |
Table of Contents
Volume I: MMM Classical Analysis:
Chapter 1:
3M Company historical prices are subjected to old fashioned Classical Time Series Analysis in this section. Patterns that emerge here will be a starting point for more detailed analysis. See MMM Classical Analysis.
Chapter 2:
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 MMM Volatility Risk.
Chapter 3:
Historical Volume Trends are analyzed here, revealing seasonal patterns and the influence of the Business Cycle. See MMM Historical Volume.
Chapter 4:
The Traditional Seasonal Analysis of Price Trends can still yield valuable predictive information. See MMM Calendar Year Trends.
Chapter 5:
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 3M Company prices. See Average Indicators.
Volume II: Mid Level 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:
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 MMM.
Chapter 8:
Volume Stratification Analysis (or VSA) follows price behavior in relation to historical volumes of MMM 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.
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:
Technical Analysis discovers the range of moods of investors toward MMM. See Market Sentiment.
Section 11:
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.
Chapter 12:
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.
Volume III: Advanced Price Behavior Visualization:
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:
Frequency Analysis and Waveform Characterization are applied to the historical prices of 3M Company in this chapter. See Frequency and Waveform Analysis.
Chapter 16:
Predictions and Forecasts. What will happen to MMM over the next few months? See MMM Price Predictions.
Volume IV: Final Results and Trading Strategy:
Chapter 17:
This chapter rates some "single company strategies" for 3M Company 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 MMM Multi-Company Strategies .
Appendix A:
The statistical abstract for 3M Company gathers the most relevant analysis into a single chapter. See MMM Final Results . |
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