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Financial Predictor via Neural Network

, 25 May 2011
Exploring the prediction capability of neural networks

// ciumac.sergiu@gmail.com
using System;

namespace FinancialMarketPredictor.Entities
{
    /// <summary>
    /// Prediction results
    /// </summary>
    public class PredictionResults
    {
        #region Properties
        /// <summary>
        /// Date of the prediction
        /// </summary>
        public DateTime Date { get; set; }

        /// <summary>
        /// Actual percentage move
        /// </summary>
        public double ActualSp {get; set; }
   
        /// <summary>
        /// Predicted percentage move
        /// </summary>
        public double PredictedSp {get; set; }

        /// <summary>
        /// Actual Dow index
        /// </summary>
        public double ActualDow { get; set; }

        /// <summary>
        /// Predicted Dow index
        /// </summary>
        public double PredictedDow { get; set; }

        /// <summary>
        /// Actual Nasdaq index
        /// </summary>
        public double ActualNasdaq { get; set; }

        /// <summary>
        /// Predicted Nasdaq index
        /// </summary>
        public double PredictedNasdaq { get; set; }

        /// <summary>
        /// Actual Prime Interest Rate
        /// </summary>
        public double ActualPir { get; set; }

        /// <summary>
        /// Predicted Prime Interest Rate
        /// </summary>
        public double PredictedPir { get; set; }

        /// <summary>
        /// Error between predicted and actual values
        /// </summary>
        public double Error { get; set; }

        #endregion
    }
}

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This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

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About the Author

Ciumac Sergiu
Software Developer
Moldova (Republic Of) Moldova (Republic Of)
Interested in computer science, math, research, and everything that relates to innovation. Fan of agnostic programming, don't mind developing under any platform/framework if it explores interesting topics. In search of a better programming paradigm.
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