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Data:2009-12-12 2:34
BOLL channel is determined by the three lines, the middle is a normal moving average. BOLL channel is called the upper and lower edge of the respective edges and lower edges.
�BOLL channel is a measure of price variability.
BOLL-channel is essentially a standard deviation to determine the level of an area instead of the standard deviation is a measure of variability. Its significance lies in the median line as off-center measure of price changes. It is noteworthy that the upper and lower edges BOLL does not mean that stock prices The upper and lower limits.
BOLL are statistical indicators.
Why BOLL channel shares a measure of variability, from the application in terms of: collecting a certain stock price data, and then in the light of a measure of price variability to estimate future changes in stock prices, such a measurement tool. From this point of the application of it belonging to statistical methods. who has a different view?
From the mathematical point of view, BOLL indicators of all of the data are the statistics of the data (â…?and â…?weighted value of the weighted number) obtained through the weighted, and then processed to image ------ that is - we can see that The BOLL channel. BOLL mathematically speaking, belong to a statistical method of calculation of the specific application ~
To sum up, BOLL channel should belong to the statistical indicators.
�BOLL channel use:
â‘?the application of mathematical-statistical sense;
BOLL channel for the use of sub-indicators of the inventor, Mr. John Bollinger recommends the use of weights is 20, that the use of a 20-day moving average of the right. 20 unknowns using the standard discrete values.
For this, some people can not help asking: Why not use the number of days longer and shorter number of days it?
Of course, the use of a longer number of days can be more statistical point of data. However, it would give the standard discrete values and stock performance is less appropriate, and its consequences can be imagined - will lead to a lot of miscalculations.
The use of a shorter number of days, of course, with the stock price change is more appropriate, but it also lost statistical significance ---
In order to balance these two contradictory, I agree with the inventor of the proposal. That is the use of 20-day moving average of the right ...
â‘?actual combat on the application:
�As a trend-line application: BOLL channel width of the change on the trend prompted significant changes are ahead. This insight in the southeast of the Forum a friend Tuu brothers.
At present the use of cyclones for BOLL channel:
When they find out stocks of the 5 MA, 10 Ri MA, 20 Ri MA, are very close to each other occasion, but confused with the time trend of the market outlook, BOLL channel can help helpful.
â–?capture the trend;
1, BOLL channel suddenly shut up, indicating the current trend will be reversed ....
2, BOLL-channel suddenly opening, the same so the current trend will be reversed ....
3, BOLL-channel narrowed the longer shut and the smaller the more obvious and dramatic changes in market outlook ~!~!~!
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1, dramatic changes in the price of multi-channel contraction occurred after the BOLL ~!~!~!
2, when the price out of the upper and lower edges BOLL, when, suggesting changes in current prices is likely to continue ~!~!~!
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From a practical application point of view, BOLL indicators of the trend is also chairman of the functions and counter-trend indicators, this is rounded out my knowledge of the stock market has been the most satisfying insight, Magical BOLL access not only to seize the stock price changes of shares of individual stocks can also strangling ~! ~! ~!
After learning of the people, look forward to Zhijiao ~!
With regard to Bollinger Bands, I would like to add the following:
1, Bollinger Bands are based on statistical sampling observation, numerical size in the mean ± 1.96 standard deviations observed within the value of the sample accounted for 95% of the number of observations (this is known as statistically 95% of the frequency distribution range) to calculate, such as the 20-day closing stock price in order to, for example, the former 20-day average closing price, receive an average closing price, and then calculate the corresponding standard deviation (a measure to reflect the 20-day closing stock price volatility the size of the target), it can be substituted into the above, the mean ± 1.96 standard deviation to calculate a range, start value of this range is equivalent to 20-day Bollinger Bands for the next track the value of the termination value is equal to the value on the track, The average closing price is equivalent to the value of the track, and then count the first 21 days, the first 22 days ... ... and even into Brin the line.
2, Statistics calculated that more than 95% of the frequency distribution of sample observations before the conditions are subject to normal distribution
3, due to the volatility of the stock's closing price does not necessarily satisfy the conditions of normal distribution, such as the number of sampling days longer (or shorter), the more likely side cloth was distributed, so the parameters of the general indicators of the general Brin take 20 (days)
4, if the 95% of the frequency distribution range of the meaning of the stock's closing price of more than Brin rail line (or under the rail) can be regarded as extreme cases (statistically known as the maximum value, minimum value), then there are the in-orbit to move closer to requirements (referred to as statistical regression to the mean)
5, I think it is entirely Bollinger Bands to predict the trend of changes in channel width changes, due to prior stock price changes, after Bollinger Bands channel width changes. For example channel narrowing is due to the recent volatility in stock prices is small (that is, the standard deviation small) result. Therefore, the role can not be considered ahead of tips.
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