Beispiel #1
0
        /****
        * @author qing qi
        * Recommend stock by 52-Week Price Range Recommendation Strategy, which means you better to choose
        * the stock that the price change range is larger than 0.82(82%)
        ****/
        public IActionResult recommend(String stockType)
        {
            List <Company> companiesList = dbContext.Companies.ToList();

            List <Equity>  equities            = new List <Equity>();
            List <Double>  pricreRangeRateList = new List <double>();  //all stock price increase rate
            List <String>  symbolList          = new List <String>();  //all stock symbol
            List <Company> stockChose          = new List <Company>(); //stock you better to choose
            List <double>  stockChosePrice     = new List <double>();  // price increase rate of stock you better to choose
            string         symbolString        = "";
            string         priceRangeRate      = "";

            if (companiesList != null)
            {
                int n = companiesList.Count;
                if (companiesList.Count > 50)
                {
                    n = 50;
                }
                companiesList = companiesList.GetRange(0, n);
                foreach (Company company in companiesList)
                {
                    if (company.type.Equals(stockType))//filter the companies, just get company with the type that user chose.
                    {
                        IEXHandler webHandler = new IEXHandler();
                        String     symbol     = company.symbol;
                        symbolList.Add(symbol);
                        equities = webHandler.GetChart(company.symbol);
                        if (equities != null && equities.Count != 0)
                        {
                            equities = equities.OrderBy(c => c.date).ToList(); //Make sure the data is in ascending order of date.
                            float  maxprice          = equities.Max(e => e.high);
                            float  minprice          = equities.Min(e => e.low);
                            Equity current           = equities.Last();
                            float  currentPrice      = current.high;
                            double pricre_Range_Rate = 0.0;
                            if (maxprice != minprice)//in case messy data makes the denominator zero below
                            {
                                pricre_Range_Rate = Math.Round((currentPrice - minprice) / (maxprice - minprice), 2);
                            }
                            pricreRangeRateList.Add(pricre_Range_Rate); // for joinning to string below
                            if (pricre_Range_Rate >= 0.82)              // the stocks you better to choose
                            {
                                stockChose.Add(company);
                                stockChosePrice.Add(pricre_Range_Rate);
                            }
                        }
                    }
                }
                if (pricreRangeRateList != null && symbolList != null)
                {
                    priceRangeRate = string.Join(",", pricreRangeRateList);//list to string for js use in the page
                    symbolString   = string.Join(",", symbolList);
                }
            }
            RecommendStock RecommendStock = new RecommendStock(stockChose, stockChosePrice, symbolString, priceRangeRate);

            return(View("recommend", RecommendStock));
        }
        /****
        * @author qing qi
        * Recommend stock by 52-Week Price Range Recommendation Strategy, which means you better to choose
        * the stock that the price change range is larger than 0.82(82%)
        ****/
        public IActionResult recommend()
        {
            List <Company> companiesList       = dbContext.Companies.ToList();
            List <Equity>  equities            = new List <Equity>();
            List <Double>  pricreRangeRateList = new List <double>();  //all stock price increase rate
            List <String>  symbolList          = new List <String>();  //all stock symbol
            List <Company> stockChose          = new List <Company>(); //stock you better to choose
            List <double>  stockChosePrice     = new List <double>();  // price increase rate of stock you better to choose
            string         symbolString        = "";
            string         priceRangeRate      = "";

            if (companiesList != null)
            {
                foreach (Company company in companiesList)
                {
                    IEXHandler webHandler = new IEXHandler();
                    String     symbol     = company.symbol;
                    symbolList.Add(symbol);
                    equities = webHandler.GetChart(company.symbol);
                    if (equities != null)
                    {
                        equities = equities.OrderBy(c => c.date).ToList(); //Make sure the data is in ascending order of date.
                        float  maxprice          = equities.Max(e => e.high);
                        float  minprice          = equities.Min(e => e.low);
                        Equity current           = equities.Last();
                        float  currentPrice      = current.high;
                        double pricre_Range_Rate = 0.0;
                        if (maxprice != minprice)//in case messy data makes the denominator zero below
                        {
                            pricre_Range_Rate = Math.Round((currentPrice - minprice) / (maxprice - minprice), 2);
                        }
                        pricreRangeRateList.Add(pricre_Range_Rate); // for joinning to string below
                        if (pricre_Range_Rate >= 0.82)              // the stocks you better to choose
                        {
                            stockChose.Add(company);
                            stockChosePrice.Add(pricre_Range_Rate);
                        }
                        //if (dbContext.RecommendStocks.Where(c => c.symbol.Equals(symbol)).Count() == 0)
                        //{

                        //    StockRecommend priceScoreObj = new StockRecommend(symbol, company.name, current.date, company.isEnabled, pricre_Range_Rate);
                        //    dbContext.RecommendStocks.Add(priceScoreObj);
                        //}
                    }
                }
                if (pricreRangeRateList != null && symbolList != null)
                {
                    priceRangeRate = string.Join(",", pricreRangeRateList);//list to string for js use in the page
                    symbolString   = string.Join(",", symbolList);
                }
            }
            RecommendStock RecommendStock = new RecommendStock(stockChose, stockChosePrice, symbolString, priceRangeRate);

            return(View("recommend", RecommendStock));
        }