well this depends on what moving average you are using. for example if a stick is above its 200 simple moving average (a very important time frame) you can saftly say it is in an uptrend (careful it could always reverse trends). Moving averages can be use for trading to.
for short term trading like swing and day trading you should look at smaller moving averages like the 10 period, and 50 period, which are widely used.
Caution! remember there are 2 moving averages in trading, a simple moving average and an exponential moving average, make sure you have the right one.
The Moving Average Indicator is one of the most popular and easy to use tools available. By using an average of prices, moving-averages smooth a data series and make it easier to spot trends.Moving-averages are lagging indicators. They confirm that a stock trend change has occurred, but only after the fact. They also help determine if an existing trend is still in motion. They follow the trend.They smooth out a data series and make it easier to identify the direction of the trend.Because the stock chart moving-average is a lagging indicator, they fit the category of trend following. When prices are trending, moving-averages work well. However, when prices are not trending, they do not work so well.
Moving Average Convergence Divergence - MACD A trend-following momentum indicator that shows the relationship between two moving averages of prices. The MACD is calculated by subtracting the 26-day exponential moving average (EMA) from the 12-day EMA. A nine-day EMA of the MACD, called the "signal line", is then plotted on top of the MACD, functioning as a trigger for buy and sell signals.
abrar
Simple! The average deviation for any data set is zero - by definition.
The standard deviation (?, pronounced sigma) of a set of values is a measure of how much the set of values deviates from the average of the values. To calculate ? of a complete set of values (as opposed to a sampling),...Calculate the average of the set (the sum of the values divided by the quantity of the values).Calculate the difference between each value and the average calculated in step 1, then square the difference.Calculate the average of all the squares calculated in step 2.The standard deviation is the square root of the average calculated in step 3.
Moving averages are used to find the trend and seasonal variations in a set of sales figures which can then be used to forecast sales figures: Moving averages are used in time series analysis where there are various factors which can affect how sales occur: Seasonal variations, long-term trend, cyclical variations and random variations. To see the underlying trend, the mean average of several periods (eg 4 quarters) is used, The moving average is calculated as the mean average of the set of periods. Then the next moving average is the mean average calculated by dropping the value of the first period and using the value of the next period after the last one previously used; and so on. If there is an odd number of periods in each of these moving averages, the moving average will align with the middle value used and is the trend value for those periods. If there is an even number of periods in each moving average, the moving averages will occur between two periods and so the mean average of each pair of moving average must be taken to find the trend values, which will then align with the figure after the middle of the periods. For example, using a moving average with 4 quarters: Year 1 qtr 1 Year 1 qtr 2 ____________ moving average 1 of y1q1 to y1q4 Year 1 qtr 3 _____________________________________ mean average of ma1 and ma2 ____________ moving average 2 of y1q2 to y2q1 Year 1 qtr 4 _____________________________________ mean average of ma2 and ma3 ____________ moving average 3 of y1q3 to y2q2 Year 2 qtr 1 _____________________________________ mean average of ma3 and ma4 ____________ moving average 4 of y1q4 to y2q3 Year 2 qtr 2 _____________________________________ mean average of ma4 and ma5 ____________ moving average 5 of y2q1 to y2q4 Year 2 qtr 3 _____________________________________ mean average of ma5 and ma6 ____________ moving average 6 of y2q2 to y3q1 Year 2 qtr 4 with: moving average 1 of y1q1 to y1q4: ma1 = (y1q1 + y1q2 + y1q3 + y1q4) ÷ 4 moving average 2 of y1q2 to y2q1: ma2 = (y1q2 + y1q3 + y1q4 + y2q1) ÷ 4 etc. mean average of ma1 and ma2 : trend1 = (ma1 + ma2) ÷ 2 mean average of ma2 and ma3 : trend2 = (ma2 + ma3) ÷ 2 etc. Using regression the line of best fit is found for the trend figures calculated from the moving averages above. By subtracting the trend values from the actual values (with which they align) the seasonal variation for each period can be calculated. With the trend line and the seasonal variations forecasts can now be made by extrapolating the trend line and adding on the relevant seasonal variation. In the above example, the year 3 quarter 1 sales can be forecast by using the trend line to find the trend value for y3q1 and then adding in the seasonal variation for q1 (which can be found at year 2 quarter 1 in value trend3). Note that seasonal variations can be negative so adding in a negative value will reduce the forecast figure.
The Moving Average Indicator is one of the most popular and easy to use tools available. By using an average of prices, moving-averages smooth a data series and make it easier to spot trends.Moving-averages are lagging indicators. They confirm that a stock trend change has occurred, but only after the fact. They also help determine if an existing trend is still in motion. They follow the trend.They smooth out a data series and make it easier to identify the direction of the trend.Because the stock chart moving-average is a lagging indicator, they fit the category of trend following. When prices are trending, moving-averages work well. However, when prices are not trending, they do not work so well.
To get index number trend analysis, you need a set of data points representing the index numbers over a specific time period. Plotting the data on a graph will allow you to visually analyze the trend. Additionally, you can calculate the average change in index numbers over time using a formula such as the percent change formula or the moving average method to identify the direction and rate of the trend.
Yes. If an object is moving at a constant speed the average speed and the constant speed are the same.
I guess that would depend on what you want to calculate (the charge? the velocity? the average energy of the charges?), and what information is given.
Calculate the average velocity for the objects.
trend percentage= (analysis period amount / base period amount) x 100
dfs
What is a moving average?
Please refer to this web site. You can find your answer. http://www.incademy.com/courses/Technical-analysis-II/Moving-averages/2/1032/10002
Moving average is best used when checking out your weight on a daily basis. Simply calculate the average on an everyday basis to find out the fittest or the fattest of you. We were also trying to find answers to this very question and fyi my name is A payam
You can't. Unless you have some trend or a formula.