예제 #1
0
파일: DcfVM.cs 프로젝트: AFFA/Project
        public DcfVM(DataGrid dataGrid, DcfDataDao dcfDataDao, DcfInput dcfInput, FinDataDao finDataDao, FinDataAdapter finDataAdapter)
        {
            _dataGrid = dataGrid;
            _rowMapping = Rowmapping.DcfRows();
            _showForecastTable = new ObservableCollection<ForecastData>();
            _columnHeader = new List<string>();
            _dcfDataDao = dcfDataDao;
            _dcfInput = dcfInput;
            _finDataDao = finDataDao;
            _finDataAdapter = finDataAdapter;

            _finDataAdapter.DcfOutput.PropertyChanged += OutputChangedEventHandler;
        }
예제 #2
0
파일: XmlScraper.cs 프로젝트: AFFA/Project
 /// <summary>
 /// Kutsutav meetod, mis loeb etteantud faiinime järgi async finantsandmed kaasa antud objektides sisalduvatesse hoidjatesse.
 /// On olemas ka overloaded sama nimega teine meetod juba olemasoleva Xdoc objekti jaoks.
 /// </summary>
 /// <param name="fileName">XML faili nimi</param>
 /// <param name="dao">FinData DAO, kuhu andmed lisatakse</param>
 /// <param name="finDataAdapter">Kutsuv adapter, vajalik hilisemaks märguandeks, kui andmed loetud</param>
 public void GetData(string fileName, FinDataDao dao, FinDataAdapter finDataAdapter)
 {
     _finDataDao = dao;
     _finDataAdapter = finDataAdapter;
     try
     {
         //XDocument xdoc = XDocument.Load(fileName);
         //GetData(xdoc, dao);
         LoadXMLData(fileName);
     }
     catch (XmlException)
     {
         System.Windows.MessageBox.Show("Error reading XML");
     }
 }
예제 #3
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 public YChartsScraper(FinDataAdapter finDataAdapter, string symbol)
 {
     _finDataAdapter = finDataAdapter;
     _symbol = symbol;
     _xmlScraper = new XmlScraper(finDataAdapter);
 }
예제 #4
0
        /// <summary>
        /// Beta arvutus
        /// </summary>
        /// <param name="finDataAdapter">Adapter kõigi finantsandmete kättesaamise jaoks</param>
        /// <param name="dcfInput">DCF arvutuste eelduste hoidja</param>
        public static void CalculateBeta(FinDataAdapter finDataAdapter, DcfInput dcfInput)
        {
            BivariateSample bivariate = new BivariateSample();
            MultivariateSample mv = new MultivariateSample(2);
            decimal prevPrice = 0;
            double? prevIndex = null;
            decimal curPrice = 0;
            double? curIndex = null;
            int k = 0;
            for (int i = 0; i < finDataAdapter.PriceDataDao.PriceDatas.Count; i = i + 22)
            {
                if (k < 36)
                {
                    PriceData pd = finDataAdapter.PriceDataDao.PriceDatas[i];
                    curPrice = pd.AdjClose;
                    curIndex = finDataAdapter.PriceDataDao.GetClosePrice(pd.PriceDate, finDataAdapter.PriceDataDao.IndexDatas)[0];
                    if (curPrice != 0 && curIndex != null && prevPrice != 0 && prevIndex != null)
                    {
                        //MessageBox.Show("s:" + ((double)(prevPrice / curPrice) - 1));
                        //MessageBox.Show("i:" + ((double)(prevIndex / curIndex) - 1));
                        ////bivariate.Add((double) (prevPrice/curPrice)-1,(double) (prevIndex/curIndex)-1);
                        double[] db = new double[2];
                        db[0] = ((double)(prevPrice / curPrice) - 1);
                        db[1] = ((double)(prevIndex / curIndex) - 1);
                        mv.Add(db);
                    }
                    prevPrice = curPrice;
                    prevIndex = curIndex;

                    //DateTime dt = finDataAdapter.PriceDataDao.PriceDatas[i].PriceDate;

                    //MessageBox.Show(finDataAdapter.PriceDataDao.PriceDatas[i].AdjClose + " " +
                    //                dt.ToShortDateString());
                    //MessageBox.Show(finDataAdapter.PriceDataDao.GetClosePrice(dt, finDataAdapter.PriceDataDao.IndexDatas)[0].ToString());
                }
                k++;
            }

            if (mv.Count > 10)
            {
                //FitResult fitResult = bivariate.LinearRegression();
                FitResult fitResult = mv.LinearRegression(0);
                dcfInput.Beta = fitResult.Parameter(1).Value;
                List<FinData> finDatas = finDataAdapter.FinDataDao.FinDatas;

                dcfInput.CostOfEquity = dcfInput.RiskFreeRate + dcfInput.Beta * dcfInput.MarketRiskPremium;
                double debt = 0;
                if (finDatas[finDatas.Count - 1].BsCurrentPortionOfLongTermDebt != null)
                {
                    debt += (double)finDatas[finDatas.Count - 1].BsCurrentPortionOfLongTermDebt;
                }
                if (finDatas[finDatas.Count - 1].BsTotalLongTermDebt != null)
                {
                    debt += (double)finDatas[finDatas.Count - 1].BsTotalLongTermDebt;
                }
                double total = 0.0;
                if (finDatas[finDatas.Count - 1].BsShareholdersEquity1 != null)
                {
                    total += (double)(finDatas[finDatas.Count - 1].BsShareholdersEquity1);
                }
                total += debt;

                try
                {
                    dcfInput.Wacc = dcfInput.CostOfEquity *
                                    (double)(finDatas[finDatas.Count - 1].BsShareholdersEquity1 / total) +
                                    dcfInput.CostOfDebt * (double)(debt / total) * (1 - dcfInput.TaxRate);
                }
                catch (InvalidOperationException) { }
                //MessageBox.Show("beta: "+fitResult.Parameter(1).Value.ToString());
                //double[] pars = fitResult.Parameters();
                //foreach (var par in pars)
                //{
                //    MessageBox.Show(par.ToString());

                //}

                //MessageBox.Show(fitResult.CorrelationCoefficient(0,1).ToString());
                //double[] gfit = fitResult.
                //MessageBox.Show(fitResult.);

                //MessageBox.Show(fitResult.Parameter(2).ToString());
            }
        }
예제 #5
0
        /// <summary>
        /// Meetod kõigi sisendite (ehk eelduste) välja arvutamiseks
        /// </summary>
        /// <param name="finDataAdapter">Adapter kõigi finantsandmete kättesaamise jaoks</param>
        /// <param name="dcfInput">DCF arvutuste eelduste hoidja</param>
        public static void CalculateInput(FinDataAdapter finDataAdapter, DcfInput dcfInput)
        {
            CalculateCorrelation(finDataAdapter, dcfInput);
            int requiredPeriodsForMean = 1;
            List<FinData> finDatas = finDataAdapter.FinDataDao.FinDatas;
            int k = 0;
            Sample sampleRevenue = new Sample();
            Sample sampleTax = new Sample();
            Sample sampleInterest = new Sample();

            Sample sampleTotalAssets = new Sample();
            Sample sampleTotalLiabilities = new Sample();
            Sample sampleTotalCurrentAssets = new Sample();
            Sample sampleTotalCurrentLiabilities = new Sample();
            Sample sampleAllCosts = new Sample();
            Sample sampleEbitda = new Sample();
            Sample sampleDepreciation = new Sample();
            Sample sampleEbit = new Sample();

            for (int i = finDatas.Count - 1; i >= 4; i--)
            {
                if (k < 12)
                {
                    if (k == 0)
                    {
                        try
                        {
                            dcfInput.SharesOutstanding = (double)finDatas[i].BsCommonSharesOutstanding;
                        }
                        catch (InvalidOperationException) { }
                    }
                    try
                    {
                        double RevenueGrowth = (double)(finDatas[i].IsRevenue / finDatas[i - 4].IsRevenue) - 1;
                        sampleRevenue.Add(RevenueGrowth);
                    }
                    catch (InvalidOperationException) { }

                    try
                    {
                        double taxRate = (double)((finDatas[i].IsPretaxIncome - finDatas[i].IsIncomeAfterTax) / finDatas[i].IsPretaxIncome);
                        sampleTax.Add(taxRate);
                    }
                    catch (InvalidOperationException) { }

                    double debt = 0;
                    if (finDatas[i].BsCurrentPortionOfLongTermDebt != null)
                    {
                        debt += (double)finDatas[i].BsCurrentPortionOfLongTermDebt;
                    }
                    if (finDatas[i].BsTotalLongTermDebt != null)
                    {
                        debt += (double)finDatas[i].BsTotalLongTermDebt;
                    }
                    if (finDatas[i].FrInterestExpense != null && debt != 0.0)
                    {
                        double interest = (double)(finDatas[i].FrInterestExpense) / debt;
                        if (interest < 0.2)
                        {
                            sampleInterest.Add(interest);
                        }
                    }

                    if (finDatas[i].IsRevenue != null && finDatas[i].IsRevenue != 0.0 && finDatas[i].BsTotalAssets != null)
                    {
                        double temp = (double)(finDatas[i].BsTotalAssets / finDatas[i].IsRevenue);
                        if (temp > 0.5 && temp < 50)
                        {
                            sampleTotalAssets.Add(temp);
                        }
                    }
                    if (finDatas[i].IsRevenue != null && finDatas[i].IsRevenue != 0.0 && finDatas[i].BsTotalLiabilities != null)
                    {
                        double temp = (double)(finDatas[i].BsTotalLiabilities / finDatas[i].IsRevenue);
                        if (temp > 0.5 && temp < 50)
                        {
                            sampleTotalLiabilities.Add(temp);
                        }
                    }

                    if (finDatas[i].IsRevenue != null && finDatas[i].IsRevenue != 0.0 && finDatas[i].BsTotalCurrentAssets != null)
                    {
                        double temp = (double)(finDatas[i].BsTotalCurrentAssets / finDatas[i].IsRevenue);
                        if (temp > 0.5 && temp < 50)
                        {
                            sampleTotalCurrentAssets.Add(temp);
                        }
                    }
                    if (finDatas[i].IsRevenue != null && finDatas[i].IsRevenue != 0.0 && finDatas[i].BsTotalCurrentLiabilities != null)
                    {
                        double temp = (double)(finDatas[i].BsTotalCurrentLiabilities / finDatas[i].IsRevenue);
                        if (temp > 0.5 && temp < 50)
                        {
                            sampleTotalCurrentLiabilities.Add(temp);
                        }
                    }

                    double allCosts = 0.0;
                    if (finDatas[i].IsTotalOperatingExpenses != null)
                    {
                        allCosts += (double)finDatas[i].IsTotalOperatingExpenses;
                    }
                    if (finDatas[i].IsDepreciationAmortization != null)
                    {
                        allCosts -= (double)finDatas[i].IsDepreciationAmortization;
                    }
                    if (finDatas[i].IsRevenue != null && finDatas[i].IsRevenue != 0.0 && allCosts != 0.0)
                    {
                        double temp = (double)(allCosts / finDatas[i].IsRevenue);
                        if (temp > 0.1 && temp < 1)
                        {
                            sampleAllCosts.Add(temp);
                        }
                    }

                    if (finDatas[i].IsRevenue != null && finDatas[i].IsRevenue != 0.0 && finDatas[i].FrEbitda != null)
                    {
                        double temp = (double)(finDatas[i].FrEbitda / finDatas[i].IsRevenue);
                        if (temp > -1.0 && temp < 1.0)
                        {
                            sampleEbitda.Add(temp);
                        }
                    }

                    if (finDatas[i].IsRevenue != null && finDatas[i].IsRevenue != 0.0 && finDatas[i].IsDepreciationAmortization != null)
                    {
                        double temp = (double)(finDatas[i].IsDepreciationAmortization / finDatas[i].IsRevenue);
                        if (temp > -1.0 && temp < 1.0)
                        {
                            sampleDepreciation.Add(temp);
                        }
                    }
                    if (finDatas[i].IsRevenue != null && finDatas[i].IsRevenue != 0.0 && finDatas[i].FrEbit != null)
                    {
                        double temp = (double)(finDatas[i].FrEbit / finDatas[i].IsRevenue);
                        if (temp > -1.0 && temp < 1.0)
                        {
                            sampleEbit.Add(temp);
                        }
                    }

                }

                k++;
            }

            if (sampleRevenue.Count >= requiredPeriodsForMean)
            {
                dcfInput.GrowthRatePrognosis = sampleRevenue.Mean;
            }
            if (sampleTax.Count >= requiredPeriodsForMean)
            {
                dcfInput.TaxRate = sampleTax.Mean;
            }
            if (sampleInterest.Count >= requiredPeriodsForMean)
            {
                dcfInput.CostOfDebt = sampleInterest.Mean;
            }

            if (sampleTotalAssets.Count >= requiredPeriodsForMean)
            {
                dcfInput.TotalAssetsPrcRevenue = sampleTotalAssets.Mean;
            }
            if (sampleTotalLiabilities.Count >= requiredPeriodsForMean)
            {
                dcfInput.TotalLiabilitiesPrcRevenue = sampleTotalLiabilities.Mean;
            }
            if (sampleTotalCurrentAssets.Count >= requiredPeriodsForMean)
            {
                dcfInput.TotalCurrentAssetsPrcRevenue = sampleTotalCurrentAssets.Mean;
            }
            if (sampleTotalCurrentLiabilities.Count >= requiredPeriodsForMean)
            {
                dcfInput.TotalCurrentLiabilitiesPrcRevenue = sampleTotalCurrentLiabilities.Mean;
            }
            if (sampleAllCosts.Count >= requiredPeriodsForMean)
            {
                dcfInput.AllCostsPrcRevenue = sampleAllCosts.Mean;
            }
            if (sampleEbitda.Count >= requiredPeriodsForMean)
            {
                dcfInput.EbitdaPrcRevenue = sampleEbitda.Mean;
            }
            if (sampleDepreciation.Count >= requiredPeriodsForMean)
            {
                dcfInput.DepreciationPrcRevenue = sampleDepreciation.Mean;
            }
            if (sampleEbit.Count >= requiredPeriodsForMean)
            {
                dcfInput.EbitPrcRevenue = sampleEbit.Mean;
            }
        }
예제 #6
0
        /// <summary>
        /// Korrelatsiooni arvutus valitud näitajate jaoks (Total Assets, Total Liabilities, Total Current Assets, Total Current Liabilities: vs Reveneue)
        /// </summary>
        /// <param name="finDataAdapter">Adapter kõigi finantsandmete kättesaamise jaoks</param>
        /// <param name="dcfInput">DCF arvutuste eelduste hoidja</param>
        public static void CalculateCorrelation(FinDataAdapter finDataAdapter, DcfInput dcfInput)
        {
            MultivariateSample mvTA = new MultivariateSample(2);
            MultivariateSample mvTL = new MultivariateSample(2);
            MultivariateSample mvCA = new MultivariateSample(2);
            MultivariateSample mvCL = new MultivariateSample(2);
            int k = 0;
            List<FinData> finDatas = finDataAdapter.FinDataDao.FinDatas;
            for (int i = finDataAdapter.FinDataDao.FinDatas.Count - 1; i >= 0; i--)
            {
                if (k < 20)
                {
                    double revChange = 0;
                    try
                    {
                        //revChange = (double) (finDatas[i].IsRevenue/finDatas[i - 5].IsRevenue);
                        revChange = (double)finDatas[i].IsRevenue;
                    }
                    catch (InvalidOperationException) { }
                    double caChange = 0;
                    try
                    {
                        //secChange = (double)(finDatas[i].BsTotalCurrentAssets / finDatas[i - 5].BsTotalCurrentAssets);
                        caChange = (double)finDatas[i].BsTotalCurrentAssets;
                    }
                    catch (InvalidOperationException) { }

                    double clChange = 0;
                    try
                    {
                        //secChange = (double)(finDatas[i].BsTotalCurrentAssets / finDatas[i - 5].BsTotalCurrentAssets);
                        clChange = (double)finDatas[i].BsTotalCurrentLiabilities;
                    }
                    catch (InvalidOperationException) { }
                    double taChange = 0;
                    try
                    {
                        //secChange = (double)(finDatas[i].BsTotalCurrentAssets / finDatas[i - 5].BsTotalCurrentAssets);
                        taChange = (double)finDatas[i].BsTotalAssets;
                    }
                    catch (InvalidOperationException) { }
                    double tlChange = 0;
                    try
                    {
                        //secChange = (double)(finDatas[i].BsTotalCurrentAssets / finDatas[i - 5].BsTotalCurrentAssets);
                        tlChange = (double)finDatas[i].BsTotalLiabilities;
                    }
                    catch (InvalidOperationException) { }

                    //MessageBox.Show("s:" + ((double)(prevPrice / curPrice) - 1));
                    //MessageBox.Show("i:" + ((double)(prevIndex / curIndex) - 1));
                    ////bivariate.Add((double) (prevPrice/curPrice)-1,(double) (prevIndex/curIndex)-1);
                    double[] db = new double[2];
                    db[0] = caChange;
                    db[1] = revChange;
                    if (db[0] != 0 || db[1] != 0)
                        mvCA.Add(db);

                    db = new double[2];
                    db[0] = clChange;
                    db[1] = revChange;
                    if (db[0] != 0 || db[1] != 0)
                        mvCL.Add(db);

                    db = new double[2];
                    db[0] = taChange;
                    db[1] = revChange;
                    if (db[0] != 0 || db[1] != 0)
                        mvTA.Add(db);

                    db = new double[2];
                    db[0] = tlChange;
                    db[1] = revChange;
                    if (db[0] != 0 || db[1] != 0)
                        mvTL.Add(db);

                    //DateTime dt = finDataAdapter.PriceDataDao.PriceDatas[i].PriceDate;

                    //MessageBox.Show(finDataAdapter.PriceDataDao.PriceDatas[i].AdjClose + " " +
                    //                dt.ToShortDateString());
                    //MessageBox.Show(finDataAdapter.PriceDataDao.GetClosePrice(dt, finDataAdapter.PriceDataDao.IndexDatas)[0].ToString());
                }
                k++;
            }

            // peab vähemalt olema 3 vaatlust
            if (mvCA.Count > 2)
            {
                //FitResult fitResult = bivariate.LinearRegression();

                FitResult fitResult = mvCA.LinearRegression(0);

                dcfInput.TotalCurrentAssetsBeta = fitResult.Parameter(1).Value;
                dcfInput.TotalCurrentAssetsAlpha = fitResult.Parameter(0).Value;

                fitResult = mvCL.LinearRegression(0);
                dcfInput.TotalCurrentLiabilitiesBeta = fitResult.Parameter(1).Value;
                dcfInput.TotalCurrentLiabilitiesAlpha = fitResult.Parameter(0).Value;

                fitResult = mvTA.LinearRegression(0);
                dcfInput.TotalAssetsBeta = fitResult.Parameter(1).Value;
                dcfInput.TotalAssetsAlpha = fitResult.Parameter(0).Value;

                fitResult = mvTL.LinearRegression(0);
                dcfInput.TotalLiabilitiesBeta = fitResult.Parameter(1).Value;
                dcfInput.TotalLiabilitiesAlpha = fitResult.Parameter(0).Value;

                //MessageBox.Show("alfa: " + fitResult.Parameter(0).Value.ToString());
                //MessageBox.Show("beta: "+fitResult.Parameter(1).Value.ToString());
                //double[] pars = fitResult.Parameters();
                //foreach (var par in pars)
                //{
                //    MessageBox.Show(par.ToString());

                //}

                //MessageBox.Show(fitResult.CorrelationCoefficient(0,1).ToString());
                //double[] gfit = fitResult.
                //MessageBox.Show(fitResult.);

                //MessageBox.Show(fitResult.Parameter(2).ToString());
            }
        }
예제 #7
0
        /// <summary>
        /// Arvutab ettevõtte koguväärtuse
        /// </summary>
        /// <param name="finDataAdapter">Adapter annab ligipääsu kõigile kogutud andmetele.</param>
        public static void CalculateTerminal(FinDataAdapter finDataAdapter)
        {
            List<DcfData> dcfDatas = finDataAdapter.DcfDataDao.DcfDatas;
            DcfInput dcfInput = finDataAdapter.DcfInput;
            DcfOutput dcfOutput = finDataAdapter.DcfOutput;
            List<FinData> finDatas = finDataAdapter.FinDataDao.FinDatas;

            // algselt väärtus
            double presentValueOfFcff = 0.0;
            // jätkuväärtus
            double terminalFCFF = 0.0;
            int j = 1;
            int finalDiscountFactor = 1;

            // käime läbi DCFData tuleviku objektid ja diskonteerime sealt FCFF väärtused tänapäeva
            for (int i = 0; i < dcfDatas.Count; i++)
            {
                if (dcfDatas[i].IsPrognosis)
                {
                    finalDiscountFactor = i;
                    try
                    {
                        presentValueOfFcff += (double)dcfDatas[i].Fcff / Math.Pow(1 + dcfInput.Wacc / 4, j);
                        if (i > dcfDatas.Count - 4)
                        {
                            terminalFCFF += (double)dcfDatas[i].Fcff;
                        }

                    }
                    catch (InvalidOperationException) { }
                    j++;

                }
            }
            dcfOutput.PerpetuityGrowthRate = dcfInput.ContinuousGrowth;
            dcfOutput.Wacc = dcfInput.Wacc;
            dcfOutput.TerminalFreeCashFlow = terminalFCFF;
            // arvutame jätkuväärtuse
            dcfOutput.TerminalValue = dcfOutput.TerminalFreeCashFlow * dcfInput.ContinuousGrowth / (dcfInput.Wacc - dcfInput.ContinuousGrowth);

            // edasi toimuvad leitud väärtuste korrigeerimised võla, sularaha jms-ga
            dcfOutput.PresentValueOfFreeCashFlow = presentValueOfFcff;
            dcfOutput.PresentValueOfTerminalValue = dcfOutput.TerminalValue / Math.Pow(1 + dcfInput.Wacc, finalDiscountFactor / 4);
            dcfOutput.EnterpriseValueWithoutCash = dcfOutput.PresentValueOfTerminalValue + dcfOutput.PresentValueOfFreeCashFlow;
            dcfOutput.CashAndCashEquivalents = finDatas[finDatas.Count - 1].BsCashShortTermInvestments;
            dcfOutput.EnterpriseValue = dcfOutput.EnterpriseValueWithoutCash + dcfOutput.CashAndCashEquivalents;
            dcfOutput.LessTotalDebt = 0;
            if (finDatas[finDatas.Count - 1].BsCurrentPortionOfLongTermDebt != null)
            {
                dcfOutput.LessTotalDebt += finDatas[finDatas.Count - 1].BsCurrentPortionOfLongTermDebt;
            }
            if (finDatas[finDatas.Count - 1].BsTotalLongTermDebt != null)
            {
                dcfOutput.LessTotalDebt += finDatas[finDatas.Count - 1].BsTotalLongTermDebt;
            }

            dcfOutput.EquityValue = dcfOutput.EnterpriseValue - dcfOutput.LessTotalDebt;
            dcfOutput.OutstandingShares = dcfInput.SharesOutstanding;
            dcfOutput.CurrentSharePrice = finDatas[finDatas.Count - 1].FrPrice;
            dcfOutput.ModelSharePrice = dcfOutput.EquityValue / dcfOutput.OutstandingShares;
            // võrdleme mudelit leitud hinda reaalse turuhinnaga ja anname vastavalt sellele ostu/müügi soovituse
            double? priceDifference = dcfOutput.ModelSharePrice / dcfOutput.CurrentSharePrice - 1;
            if (priceDifference == null)
            {
                dcfOutput.Recommendation = DcfOutput.Recommendations.No_Data_To_Recommend;
            }
            else if (priceDifference > 0.4)
            {
                dcfOutput.Recommendation = DcfOutput.Recommendations.Strong_Buy;
            }
            else if (priceDifference > 0.2)
            {
                dcfOutput.Recommendation = DcfOutput.Recommendations.Buy;
            }
            else if (priceDifference < -0.4)
            {
                dcfOutput.Recommendation = DcfOutput.Recommendations.Strong_Sell;
            }
            else if (priceDifference < -0.2)
            {
                dcfOutput.Recommendation = DcfOutput.Recommendations.Sell;
            }
            else
            {
                dcfOutput.Recommendation = DcfOutput.Recommendations.Hold;
            }
        }
예제 #8
0
 public YahooFScraper(FinDataAdapter finDataAdapter)
 {
     _finDataAdapter = finDataAdapter;
 }
예제 #9
0
        private void btnRetrieveYCharts_Click(object sender, RoutedEventArgs e)
        {
            if (comboDataSource.SelectedIndex == 0)
            {
                labelProgrammiStaatus.Content = "Retrieving data from YCharts.com ...";
                btnCalculateForecast.IsEnabled = false;
                string symbol = txtBoxAndmeteAllikas.Text;
                if (string.IsNullOrEmpty(symbol) || symbol.Equals("input company ticker here") || symbol.Contains("."))
                {
                    MessageBox.Show("Illegal symbol or no symbol specified.");
                    return;
                }
                _inputVm.LaeAndmed(symbol);

                if (!PasswordSet)
                {
                    string[] promptValue = Prompt.ShowDialog("Enter YCharts.com Username");

                    string user = promptValue[0];
                    string psw = promptValue[1];
                    _user = user;
                    _password = psw;

                }
                if (!string.IsNullOrEmpty(_user) && !string.IsNullOrEmpty(_password))
                {
                    if (panelForecast.DataContext != null)
                    {
                        _dcfVM.ClearTable();
                    }
                    panelForecast.DataContext = null;
                    panelDcfOutput.DataContext = null;
                    FinAnalysisVM finAnalysisVm = new FinAnalysisVM(dataGrid);
                    _finDataAdapter = new FinDataAdapter(finAnalysisVm, symbol, FinDataAdapter.DataSource.XLS);
                    _finDataAdapter.AddDcfInput(_dci);
                    _finDataAdapter.PrepareDataXLS(_user, _password, this);
                    panelQuarterlyData.DataContext = finAnalysisVm;

                    // need peaks seatud saama alles siis, kui andmed saabuvad YCharts.com-st
                    //labelProgrammiStaatus.Content = "Data retrieved from YCharts.com.";
                    //btnCalculateForecast.IsEnabled = true;
                }
                else
                {
                    PasswordSet = false;
                    MessageBox.Show("Enter username and password, fields cannot be empty.");

                }
            }
            else if (comboDataSource.SelectedIndex == 2)
            {
                btnLaeAndmed.IsEnabled = false;
                string programStatus = labelProgrammiStaatus.Content.ToString();
                labelProgrammiStaatus.Content = "Loading data from Google Finance.";
                GoogleFinanceScraper gfs = new GoogleFinanceScraper();
                var uiScheduler = TaskScheduler.FromCurrentSynchronizationContext(); //get UI thread context
                string txtBoxAndmeteAllikasText = txtBoxAndmeteAllikas.Text;
                var task1 = Task.Factory.StartNew(() => gfs.GetData(txtBoxAndmeteAllikasText));
                task1.ContinueWith(task => {
                    if (gfs.DownloadedData == null)
                    {
                        MessageBox.Show("Failed to download data for this ticker (" + txtBoxAndmeteAllikasText + ").");
                        labelProgrammiStaatus.Content = programStatus;
                    }
                    else
                    {
                        if (panelForecast.DataContext != null)
                        {
                            _dcfVM.ClearTable();
                        }
                        panelDcfOutput.DataContext = null;
                        labelProgrammiStaatus.Content = "Data loaded from Google Finance.";
                        FinAnalysisVM finAnalysisVm = new FinAnalysisVM(dataGrid);
                        _finDataAdapter = new FinDataAdapter(_inputVm, finAnalysisVm, "", FinDataAdapter.DataSource.XML, gfs.XmlPath);
                        // testimiseks:
                        _finDataAdapter.AddMainWindow(this);
                        _finDataAdapter.AddDcfInput(_dci);

                        _finDataAdapter.PrepareData();
                        panelQuarterlyData.DataContext = finAnalysisVm;
                    }
                    btnLaeAndmed.IsEnabled = true;
                }, uiScheduler);
            }
        }
예제 #10
0
        private void btnAvaXMLFail_Click(object sender, RoutedEventArgs e)
        {
            //_inputVm.LaeAndmed("csco");
            labelProgrammiStaatus.Content = "Loading XML data ...";
            btnCalculateForecast.IsEnabled = false;
            System.Windows.Forms.OpenFileDialog dialog = new System.Windows.Forms.OpenFileDialog();
            if (dialog.ShowDialog() == System.Windows.Forms.DialogResult.OK)
            {

                if (panelForecast.DataContext != null)
                {
                    _dcfVM.ClearTable();
                }
                panelDcfOutput.DataContext = null;
                txtBoxAndmeteAllikas.IsEnabled = true;
                txtBoxAndmeteAllikas.Text = dialog.FileName;
                //txtBoxAndmeteAllikas.Foreground = Brushes.Black;
                //txtBoxAndmeteAllikas.CaretIndex = txtBoxAndmeteAllikas.Text.Length;
                //labelProgrammiStaatus.Content = "Data loaded from XML file (" + dialog.SafeFileName + ").";
                //var rect = txtBoxAndmeteAllikas.GetRectFromCharacterIndex(txtBoxAndmeteAllikas.CaretIndex);
                //txtBoxAndmeteAllikas.ScrollToHorizontalOffset(rect.Right);
                FinAnalysisVM finAnalysisVm = new FinAnalysisVM(dataGrid);
                _finDataAdapter = new FinDataAdapter(_inputVm, finAnalysisVm, "", FinDataAdapter.DataSource.XML, dialog.FileName);
                // testimiseks:
                _finDataAdapter.AddMainWindow(this);
                _finDataAdapter.AddDcfInput(_dci);

                _finDataAdapter.PrepareData();
                panelQuarterlyData.DataContext = finAnalysisVm;
                //btnCalculateForecast.IsEnabled = true;
            }
        }
예제 #11
0
파일: XmlScraper.cs 프로젝트: AFFA/Project
 public XmlScraper(FinDataAdapter finDataAdapter)
 {
     _finDataAdapter = finDataAdapter;
 }