Generalized Bollinger Band Computation. Bollinger Bands Chart in Excel. This will include computation of some of the most popular technical analysis indicators and implementation of a trading strategy backtesting spreadsheet in Part III.
This is done on purpose to keep spreadsheets simple and functionality understandable by non-programmers. We have nearly data points in this file. The file contains OHCL price columns, volume, and timestamp column. In order to calculate SMA for all of the remaining cells below — just select cell G21, move cursor over cell and double-click the small square in the lower-right corner of that cell. You should now see values in column G calculated for the remainder of SPY prices.
Updating formula values every time you want to change SMA range is pretty tedious and error-prone. Now, you will notice that first several rows in the column have error value REF!.
This happens because there are not enough rows in our data set to calculate the SMA value, and the range returned by OFFSET function goes over the edge of the worksheet for some rows. Some of them involve formulas which return blank or zero values if a cell value contains an error. When price moves become more volatile — the bands widen, in the periods of relative calm — they come closer together. The relative position of the current price to the bands can also be used to estimate whether market is overbought or oversold.
Bollinger Bands indicator could be calculated using either simple moving average or exponential moving average as the basis. Bollinger Bands consists of three data series: In this formula we are simply adding two standard deviations of the Close prices from cells D2: D15 to the SMA value. And for lower band in column I we enter the following: Here the only difference from the previous formula is that we are subtracting two standard deviations from SMA.
To expand the formulas — just roll over and double-click on a small square in the lower-right corner of the cell to replicate formula for the rest of the data range. Exponential Moving Average EMA is type of moving average that is similar to a simple moving average, except that more weight is given to the latest data. This is the standard EMA formula. In this first part of our 3-part series we calculated Simple Moving Average, Bollinger Bands, and Exponential Moving Average technical analysis indicators for our sample historical data set.
We found that the selections we listed below provide invaluable fundamental information on using technical analysis and Excel-based trading idea generation, testing, and execution.
Combining material described in these books will enable you to develop and test your own trading systems and take them to markets sooner and with more confidence.
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