Silicon Investor (SI) -- The First Internet Community

STOCKTALK

We've detected that you're using an ad content blocking browser plug-in or feature. Ads provide a critical source of revenue to the continued operation of Silicon Investor. We ask that you disable ad blocking while on Silicon Investor in the best interests of our community. If you are not using an ad blocker but are still receiving this message, make sure your browser's tracking protection is set to the 'standard' level.

Strategies & Market Trends : TA-Quotes Plus -- Ignore unavailable to you. Want to Upgrade?

To: Ken Adams who wrote (6486)	9/11/1998 6:47:00 PM
From: Jan Robert Wolansky	Respond to of 11149

Anyone having trouble downloading today? Never mind, just got through.

To: Ken Adams who wrote (6486)	9/11/1998 8:13:00 PM
From: Richard Estes	Read Replies (3) \| Respond to of 11149

No GET offers only simple and exponential. MSWIN has about 8 or more different MAs. A variable moving average is an exponential moving average that automatically adjusts the smoothing constant based on the volatility of the data series. The more volatile the data, the larger the smoothing constant used in the moving average calculation. The larger the smoothing constant, the more weight given to the current data. The opposite is true for less volatile data. Trader's often associate high volatility with strongly trending markets. However, this is a mistake. Strong trending markets are often less volatile because of the consistency of day-to-day price changes. Its when prices are erratic in their day-to-day movements (i.e., down a lot, up a little, up a little, up a lot, up a little, down a little, etc.), that volatility increases. This can occur in uptrending, downtrending, or sideways markets. Typical moving averages suffer from the inability to compensate for changes in volatility. During volatile markets, you want a moving average to increase its sensitivity, so that you will quickly be on the correct side of any wild gyrations. By automatically adjusting the smoothing constant, a variable moving average is able to adjust its sensitivity, allowing it to perform better in both high and low volatility markets. VMA = (0.78(volatility index) close) + (1-0.078 * volatility index)*yesterday's VMA The absolute value of a 9-period Chande Momentum Oscillator is used for the volatility index. The higher this index the more volatile the market, thereby increasing the sensitivity of the moving average.