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MSO - Effect of Election Cycles on Martha Stewart


Election Cycle Trends in MSO Common Stock.



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MSO:  Presidential Election History

Two theories compete as to the influence of the President's political party on stock prices. One camp holds that the market reacts very to the choice of president, possibly even before election day when the outcome is forseen. Others believe the new president does not begin to materially influence the market until he has been in office for some time.



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Profitability by Presidential Party of Martha Stewart

Monthly Appreciation is calculated as the percentage change between the mean price of each month compared to the preceding month. Price Periods are assigned to Political Parties three different ways for this calculation.




Best Times in the Election Cycle For Short Term Speculation in Martha Stewart Common Stock.







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MSO:  Election Calendar Cycles

You may have seen charts that profile seasonal trends. This is similar, but it is based on the political calendar. The short (Congressional) cycle is 24 months long.






More Political Cycles of Martha Stewart?

Political Financials with the Influence of Congressional Elections on MSO. Also, roadmap and Summary of most effective indicators:


Public Pages : More MSO Technical Analysis Chalk-Talk Subjects

MSO Price Forecasts

MSO Traditional Time Series Analysis

Momentum Investing

Multi-Spectral Analysis

MSO Transaction Volume Trends

MSO Analysis of Short Term and Long Term Risk

MSO Calendar Seasonality

CandleStick Analysis

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We do not recommend the purchase or sale of this or any other issue. Research shows that most people who invest in common stock will lose money. We do not advocate speculation in mutual funds or index funds. Pages on this site are for entertainment and academic purposes only. Charts and concepts are property of Hybrid Technical. All Rights Reserved. Content is Copyright 2008 by Hybrid Technical




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Volume Stratification Analysis (or VSA) follows price behavior in relation to historical volumes of MSO stock sales. Knowledge of these behaviors gives us a quantitative metric useful for understanding Support or Resistance Levels, and predicting their strength.


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