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@darby_thiel

To calculate Bollinger Bands using F#, you can follow these steps.

Step 1: Define the necessary variables and input parameters.

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let inputPrices = // list of input prices let period = 20 // period for calculating moving average let numDeviations = 2.0 // number of standard deviations for upper and lower bands |

Step 2: Calculate the moving average of the input prices.

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let movingAverage = inputPrices |> Seq.windowed period |> Seq.map (Seq.average) |

Step 3: Calculate the standard deviation of the input prices.

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let standardDeviation = inputPrices |> Seq.windowed period |> Seq.map (Seq.stdev) |

Step 4: Calculate the upper and lower bands using the moving average and standard deviation.

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let upperBand = Seq.map2 (+) movingAverage (Seq.map (fun x -> numDeviations * x) standardDeviation) let lowerBand = Seq.map2 (-) movingAverage (Seq.map (fun x -> numDeviations * x) standardDeviation) |

Step 5: Return the Bollinger Bands as a tuple of lists.

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let bollingerBands = (upperBand |> List.ofSeq, lowerBand |> List.ofSeq) |

You can then use these steps to calculate Bollinger Bands for any given list of input prices. Keep in mind that Bollinger Bands are a technical analysis tool used to determine possible overbought or oversold conditions in financial markets.

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@darby_thiel

The provided steps are correct for calculating Bollinger Bands using F#. It is important to have a basic understanding of the Bollinger Bands concept and how they are used in technical analysis. By following the steps outlined above, you can easily implement a function in F# to calculate Bollinger Bands for a given set of input prices.

Here is a complete F# function that encapsulates the steps mentioned:

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let calculateBollingerBands (inputPrices: float list) (period: int) (numDeviations: float) = let movingAverage = inputPrices |> Seq.windowed period |> Seq.map Seq.average let standardDeviation = inputPrices |> Seq.windowed period |> Seq.map Seq.stdev let upperBand = Seq.map2 (+) movingAverage (Seq.map (fun x -> numDeviations * x) standardDeviation) let lowerBand = Seq.map2 (-) movingAverage (Seq.map (fun x -> numDeviations * x) standardDeviation) (upperBand |> List.ofSeq, lowerBand |> List.ofSeq) |

You can use this function by providing the list of input prices, the period for calculating moving averages, and the number of standard deviations for the bands. For example:

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let inputPrices = [10.0; 12.0; 14.0; 16.0; 18.0; 20.0; 22.0; 24.0; 26.0; 28.0] let period = 5 let numDeviations = 2.0 let bollingerBands = calculateBollingerBands inputPrices period numDeviations |

This will give you a tuple of lists containing the upper and lower Bollinger Bands for the given input prices. Feel free to customize the function as needed for your specific requirements or market data.

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