@shanie.wisozk
Here is an example of how you can calculate Moving Average Convergence Divergence (MACD) in F#:
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open System let calculate_moving_average_convergence_divergence (prices: float []) (short_period: int) (long_period: int) (signal_period: int) = let calculate_ema (data: float []) (period: int) = let alpha = 2.0 / (float(period) + 1.0) let rec calculate_ema_helper (data: float []) (period: int) (prev_ema: float) (index: int) = if index >= Array.length data then prev_ema else let current_ema = (data.[index] * alpha) + (prev_ema * (1.0 - alpha)) calculate_ema_helper data period current_ema (index + 1) calculate_ema_helper data period data.[period] 1 let short_ema = calculate_ema prices short_period let long_ema = calculate_ema prices long_period let macd = short_ema - long_ema let signal_line = calculate_ema (Array.append [|0.0|] (Array.map (fun x -> x - macd) prices)) signal_period macd, signal_line // Example usage let prices = [|100.0; 105.0; 110.0; 115.0; 120.0; 125.0; 130.0; 135.0; 140.0; 145.0|] let short_period = 12 let long_period = 26 let signal_period = 9 let macd, signal_line = calculate_moving_average_convergence_divergence prices short_period long_period signal_period printfn "MACD: %f, Signal Line: %f" macd signal_line |
In this code snippet, we define a function calculate_moving_average_convergence_divergence
that takes in an array of prices, short period, long period, and signal period as parameters. Inside the function, we calculate the exponential moving averages (EMAs) for the short and long periods, then calculate the MACD as the difference between the short EMA and long EMA. Finally, we calculate the signal line using the MACD values and the signal period.
You can then test this function with example data as shown in the example usage
section where we calculate the MACD and Signal Line for a given array of prices.