A calculation of the average value of the most recent (within some window) values in a time series, rather than the average of the entire series.
When trying to calculate the exponential moving average (EMA) from financial data in a dataframe it seems that Pandas' ewm …
pandas exponential moving-averageI'm coding something at the moment where I'm taking a bunch of values over time from a hardware compass. This …
algorithm theory moving-averageIn the zoo package there is a function called rollmean, which enables you to make moving averages. The rollmean(x,3) …
r zoo moving-averageI come up with this n=1; curAvg = 0; loop{ curAvg = curAvg + (newNum - curAvg)/n; n++; } I think highlights of this …
algorithm math average moving-averageI have a dataset consisting of a timestamp column and a dollars column. I would like to find the average …
apache-spark pyspark window-functions moving-averageBelow you can see my C# method to calculate Bollinger Bands for each point (moving average, up band, down band). …
c# algorithm finance moving-average standard-deviationI have a huge file in HDFS having Time Series data points (Yahoo Stock prices). I want to find the …
time-series hdfs moving-average apache-sparkI am working with SQL Server 2008 R2, trying to calculate a moving average. For each record in my view, I …
sql tsql sql-server-2008-r2 window-functions moving-averageI need to compute a moving average over a data series, within a for loop. I have to get the …
matlab moving-averageI have a pandas dataframe with monthly data that I want to compute a 12 months moving average for. Data for …
python pandas missing-data moving-average