create a function to predict stock prices in csharp

main.cs
using Accord.IO;
using Accord.MachineLearning;
using Accord.Math.Optimization.Losses;
using Accord.Statistics.Filters;

public double[] PredictStockPrices(double[] historicalPrices)
{
    // Load the historical data into a DataTable
    DataTable table = new DataTable("Data");
    table.Columns.Add("Price", typeof(double));
    for (int i = 0; i < historicalPrices.Length; i++)
    {
        table.Rows.Add(historicalPrices[i]);
    }

    // Create a moving average filter
    MovingAverage filter = new MovingAverage(10);

    // Apply the filter to the data
    double[][] data = filter.Apply(table.ToJagged());

    // Create a least squares regression model
    var ols = new OrdinaryLeastSquares()
    {
        UseIntercept = true
    };

    // Train the model on the filtered data
    double[] labels = data.GetColumn(0);
    var regression = ols.Learn(data, labels);

    // Predict the next stock price
    double[] nextData = filter.Apply(new[] { labels }).GetRow(0);
    double prediction = regression.Transform(nextData);

    return new[] { prediction };
}
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