| Below - Illustration from Chapter 6: A signal from the "Wilder's 7 Day RSI Signals at 80 and 20", was flagged on Friday, March 05, 2010. This value of the indicator is generally interpreted as a sell signal. |
 Summary of Recent Reports:Weekend Report Comments on Saturday, March 06, 2010:
Looking back from Friday, March 05, 2010, the past 5 sessions have seen higher closing prices than the day before. This week's transaction volume increased as well as the price for X. X does not seem to be over-bought or under-bought at the moment. The general RSI remains in the same range as last week, with a small favorable drift. No signal from the Negative Volume Index: It seems to be rising, coming from 99.23% to 99.29% in the past month. After increasing the spread over the week, X is now 34.00 % above the 200 session Simple Moving Average. From the Update 3/10/2010 : The candle on 3/10/2010 is an Engulfing medium body. This is after a Star Dojion the preceeding session. 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. A signal from the "Wilder's 7 Day RSI Signals at 80 and 20", was flagged on Friday, March 05, 2010. This value of the indicator is generally interpreted as a sell signal. |
Table of Contents
Volume I: Classical Analysis:
Chapter 1:
The Classical Analysis of Time Series establishes a good starting point in the analysis, and provides a high vantage point for viewing patterns of behaviour in the prices over the entire history of United States Steel Corporation. See X 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 X Volatility Risk.
Chapter 3:
Historical Volume Trends are analyzed here, revealing seasonal patterns and the influence of the Business Cycle. See X Historical Volume.
Chapter 4:
The Traditional Seasonal Analysis of Price Trends can still yield valuable predictive information. See X 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 United States Steel Corporation prices. See Average Indicators.
Volume II: Intermediate Analysis Techniques:
Chapter 6:
Technical Oscillators are compared to test their power as buy or sell signals for speculating in X stock. We conduct an extensive investigation of the popular "RSI" of Welles Wilder and some of its variations. 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 X.
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:
A view of Momentum Analysis that takes Volume into account as well as Price. See Momentum Investing Indicators.
Chapter 10:
Technical Analysis discovers the range of moods of investors toward X. 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:
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 Visualization and Prediction:
Chapter 13:
Multi-spectral analysis reveals behavioral features of X prices that may not be apparent to ordinary analysis. See Support and Resistance.
Chapter 14:
The combination of multi-spectral and mult-dimensional analysis of United States Steel Corporation historical trends, yields a rich set of behavioral surfaces. See Price Behavior Surfaces.
Chapter 15:
Here we look at periodic frequency and waveform characteristics of the X 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 X Price Predictions.
Volume IV: Final Results and Trading Strategy:
Chapter 17:
This chapter rates some "single company strategies" for United States Steel Corporation 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 X Multi-Company Strategies .
Appendix A:
The statistical abstract for United States Steel Corporation gathers the most relevant analysis into a single chapter. See X Final Results . |
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