| Below - Illustration from Chapter 6: On Wednesday, March 17, 2010 one of the calibrated RSI indicators entered the sell warning zone. |
 Summary of Recent Reports:Weekend Report Comments on Saturday, March 13, 2010:
The price of WMT rose by 0.11 % this week, but the volume declined, which is a caution sign. WMT is approximately neutral in conventional RSI, but the Line of Least Resistance is moving toward bearish. The RSI has weakened since last week, but not enough to change the category. The Negative Volume Index Aggregate is near the middle of the range. It seems to be rising, coming from 102.13% to 102.15% in the past month. The phase of the 200 day Simple Moving Average was hardly altered during the week. From the Update 3/17/2010 : The candle representing 3/17/2010 was a stepped up short body after a Star short body SpinningTop previously. The stepped candle has a body that is shadowed at one end only. It can indicate an orderly progression of the market. On Wednesday, March 17, 2010 one of the calibrated RSI indicators entered the sell warning zone. |
Table of Contents
Volume I: Traditional Analysis of WMT:
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 Walmart. See WMT Classical Analysis.
Chapter 2:
Understanding Price Volatility behaviour is essential to assessing the risk associated with positions across different time spans. See WMT Volatility Risk.
Chapter 3:
Historical Volume Trends are analyzed here, revealing seasonal patterns and the influence of the Business Cycle. See WMT Historical Volume.
Chapter 4:
A look at Traditional Seasonal Analysis of Walmart Historical Prices identifies the best and worst months to be invested. See WMT 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 Walmart 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:
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 Politics and Prices of WMT.
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:
The mood of the market toward Walmart show up in the Daily Closing Altitude and other Sentiment Indicators. See Market Sentiment.
Section 11:
The chapter first converts the Price Line to several different mappings based on "Runs" or 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 Visualization and Prediction:
Chapter 13:
Multi-spectral analysis reveals behavioral features of WMT 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 Walmart 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 WMT 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 WMT Price Predictions.
Volume IV: Final Results and Trading Strategy:
Chapter 17:
The results of various trading strategies carried out over 10 years are evaluated here for WMT. The results of "buy and hold", "buy the dips", and other strategies are compared, as well as sliding stop settings. 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 WMT Multi-Company Strategies .
Appendix A:
The statistical abstract for Walmart gathers the most relevant analysis into a single chapter. See WMT Final Results . |
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