Example #1
0
        public static DateTime ChangeDay(this DateTime date, DayOfWeek day, DayIndex index)
        {
            
            var firstOfMonth = FirstDayOfMonth(date);

            int offset = (int)day - (int)firstOfMonth.DayOfWeek;
            if (offset < 0) { offset += 7; }

            var newDate = firstOfMonth.AddDays(offset + 7 * (int)index);

            if (newDate.Month != date.Month) 
            {
                // must be last in month (else wouldn't have gone over, so go back one week
                newDate = newDate.AddDays(-7);
            }
            return newDate;
        }
Example #2
0
 /// <summary>
 /// Gets the hash code
 /// </summary>
 /// <returns>Hash code</returns>
 public override int GetHashCode()
 {
     unchecked // Overflow is fine, just wrap
     {
         int hashCode = 41;
         if (DayIndex != null)
         {
             hashCode = hashCode * 59 + DayIndex.GetHashCode();
         }
         if (StartTime != null)
         {
             hashCode = hashCode * 59 + StartTime.GetHashCode();
         }
         if (EndTime != null)
         {
             hashCode = hashCode * 59 + EndTime.GetHashCode();
         }
         return(hashCode);
     }
 }
Example #3
0
        public static DateTime ChangeDay(this DateTime date, DayOfWeek day, DayIndex index)
        {
            var firstOfMonth = FirstDayOfMonth(date);

            int offset = (int)day - (int)firstOfMonth.DayOfWeek;

            if (offset < 0)
            {
                offset += 7;
            }

            var newDate = firstOfMonth.AddDays(offset + 7 * (int)index);

            if (newDate.Month != date.Month)
            {
                // must be last in month (else wouldn't have gone over, so go back one week
                newDate = newDate.AddDays(-7);
            }
            return(newDate);
        }
Example #4
0
        /// <summary>
        /// Returns true if StoreOpenHour instances are equal
        /// </summary>
        /// <param name="input">Instance of StoreOpenHour to be compared</param>
        /// <returns>Boolean</returns>
        public bool Equals(StoreOpenHour input)
        {
            if (input == null)
            {
                return(false);
            }

            return
                ((
                     DayIndex == input.DayIndex ||
                     DayIndex != null &&
                     DayIndex.Equals(input.DayIndex)
                     ) &&
                 (
                     StartTime == input.StartTime ||
                     StartTime != null &&
                     StartTime.Equals(input.StartTime)
                 ) &&
                 (
                     EndTime == input.EndTime ||
                     EndTime != null &&
                     EndTime.Equals(input.EndTime)
                 ));
        }
 public MonthlyRecurrency(DateTime startDate, int numOccurrences = _Default_Occurrences, int interval = 1, DayOfWeek dayOfWeek = DayOfWeek.Monday, DayIndex dayIndex = DayIndex.First)
     : base(startDate, numOccurrences, interval)
 {
     SetTypeAndDays(MonthlyType.Weekday, dayOfWeek, dayIndex);
 }
 private void SetTypeAndDays(MonthlyType type, DayOfWeek dayOfWeek, DayIndex dayIndex)
 {
     _Type     = type;
     DayOfWeek = dayOfWeek;
     DayIndex  = dayIndex;
 }
Example #7
0
        /// <summary>
        /// 返回日线数据、5分钟数据
        /// </summary>
        /// <param name="dataType">读取数据类型,“DAY,5MIN”</param>
        /// <param name="dataCode">证券代码,例如SH600050,SZ000005,如果是获取全部数据则传入NULL</param>
        /// <returns></returns>
        public DataTable GetStockDataLine(string dataType, string dataCode)
        {
            //数据文件的完整路径
            string filePath = "";

            //读取不同的文件
            switch (dataType)
            {
            case "DAY":
                filePath = DataPath + Market + "\\DAY.DAT";
                break;

            case "5MIN":
                filePath = DataPath + Market + "\\MIN.DAT";
                break;

            default:
                filePath = DataPath + Market + "\\DAY.DAT";;
                break;
            }

            //判断文件是否存在
            this.CheckFile(filePath);
            if (message == filePath + "文件不存在")
            {
                return(null);
            }

            //构建保存日线、分钟线的DataTable
            DataTable dtData = new DataTable();

            dtData.Columns.Add("证券代码", typeof(string));
            dtData.Columns.Add("日期", typeof(string));
            dtData.Columns.Add("开盘", typeof(string));
            dtData.Columns.Add("最高", typeof(string));
            dtData.Columns.Add("最低", typeof(string));
            dtData.Columns.Add("收盘", typeof(string));
            dtData.Columns.Add("成交量", typeof(string));
            dtData.Columns.Add("成交额", typeof(string));
            //dtData.Columns.Add("上涨数", typeof(string));//数据不是很正确,弃用,用程序计算取代
            //dtData.Columns.Add("下跌数", typeof(string));//数据不是很正确,弃用,用程序计算取代

            //打开数据文件,建立文件流
            FileStream   fs = null;
            BinaryReader br = null;

            try
            {
                fs = new FileStream(filePath, FileMode.Open, FileAccess.Read, FileShare.ReadWrite);
                br = new BinaryReader(fs);
            }
            catch
            {
                message = "读取文件" + filePath + "失败";
                return(null);
            }
            finally
            {
                message = "读取文件" + filePath + "成功";
            }

            /*程序读取逻辑
             * 1、读取证券总数
             * 2、读取证券数据索引,取出每个证券的数据条数、每个块的偏移量
             * 3、从每个块中取出每条记录
             */

            //从0C开始读,0C-0F 表示证券总数
            fs.Position = 0x0c; //12

            //DAY.DAT所保存的股票数量
            int stockCount = br.ReadInt32();

            //从18h开始至 40017h 每64byte为一条股票数据分配记录,总共有多少由0x0c提供
            //数据索引开始位置
            int indexStartAddress = 0x18;  //18h

            //数据索引块大小
            int indexBlock = 0x40; // 64

            //数据索引块数量,每个股票25个块
            int indexBlockNum = 25;

            //证券数据的开始位置
            int dataStarAddress = 0x41000;

            //证券数据的块大小,8k
            int dataBlock = 8192;

            //证券记录块中记录数,每条记录的大小32字节,8K可记录256条
            int dataNum = 256;

            //遍历每条股票
            for (int i = 0; i < stockCount; i++)
            {
                //实例化数据索引结构
                DayIndex dataIndex = new DayIndex();

                //实例化日线索引结构中的数据块偏移量数组,否则下面用到时会报错
                dataIndex.blockOffSet = new Int16[indexBlockNum];

                //设置当前位置
                fs.Position = indexStartAddress + i * indexBlock;

                //取证券代码,10个字节,后面是\0,去掉
                dataIndex.stockCode =
                    this.Market + System.Text.Encoding.Default.GetString(br.ReadBytes(10)).Replace("\0", "");

                //判断是否取到证券代码
                if (string.IsNullOrEmpty(dataIndex.stockCode))
                {
                    break;
                }
                //如果股票代码在静态代码表中,判断需要获取的单个代码
                DataRow[] rows      = Main.staticStockCode.Select("证券代码 = '" + dataIndex.stockCode + "'");
                bool      isAllCode = true;
                if (dataCode == null) //传入的证券代码
                {
                    isAllCode = rows.Length > 0;
                }
                else
                {
                    //如果是查询单个证券,则当前证券代码=传入的证券代码而且传入的证券代码在静态代码表中
                    isAllCode = (dataIndex.stockCode == dataCode && rows.Length > 0);
                }
                if (isAllCode == true)
                {
                    //读4字节该股票代码的日线记录数
                    dataIndex.dataCount = br.ReadInt32();

                    //读25次,每次两字节,共50字节,记录块的偏移量,没有数据块后,偏移量为FF FF(-1)
                    for (int k = 0; k < indexBlockNum; k++)
                    {
                        dataIndex.blockOffSet[k] = br.ReadInt16();
                    }

                    //开始遍历该股票的所有日线记录,一直读到股票日线数量为止
                    int l = 0;
                    //for (int l = 0; l < dataIndex.dataCount; l++) //用for死循环,l不累加,待查
                    while (l < dataIndex.dataCount)
                    {
                        //每个记录块8K大小,包含256条记录,每条记录32字节,从41000h开始的8KB为第0号数据存储块,以后类推
                        //遍历偏移量
                        for (int m = 0; m < indexBlockNum; m++)
                        {
                            Int16 offset = dataIndex.blockOffSet[m]; //偏移量

                            //偏移量为-1,说明没有数据了
                            if (offset == -1)
                            {
                                break;
                            }

                            //转到41000h开始的第offset块数据,位置为偏移量*8K加上起始位置41000h
                            fs.Position = dataStarAddress + offset * dataBlock;

                            //每条记录32字节,共256条记录
                            for (int n = 0; n < dataNum; n++)
                            {
                                //t==0表示没有数据了,256条没有填满,或者在文件最后由于有几条记录就只写几条数据,读出会溢出
                                if (l >= dataIndex.dataCount)
                                {
                                    break;
                                }
                                //每个32字节块的前4个字节转成INT32表示时间
                                //日线表示19700101开始的天数
                                //5分钟表示19700101开始的秒数
                                Int32 t = br.ReadInt32();
                                //UInt32 t = br.ReadUInt32();
                                if (t == 0)
                                {
                                    break;
                                }

                                //实例化证券数据结构
                                DayLine dzhDay = new DayLine();

                                //计算日期还是时间
                                switch (dataType)
                                {
                                case "DAY":
                                    dzhDay.m_time =
                                        date19700101.AddDays(t / 86400).ToString("yyyy-MM-dd");
                                    break;

                                case "5MIN":
                                    dzhDay.m_time =
                                        date19700101.AddSeconds(t).ToString("yyyy-MM-dd HH:mm:ss");
                                    break;

                                default:
                                    dzhDay.m_time =
                                        date19700101.AddDays(t / 86400).ToString("yyyy-MM-dd");
                                    break;
                                }

                                //接着读4*6+2+2共28字节
                                dzhDay.m_fOpen    = br.ReadSingle();
                                dzhDay.m_fHigh    = br.ReadSingle();
                                dzhDay.m_fLow     = br.ReadSingle();;
                                dzhDay.m_fClose   = br.ReadSingle();;
                                dzhDay.m_fVolume  = br.ReadSingle();
                                dzhDay.m_fAmount  = br.ReadSingle();;
                                dzhDay.m_wAdvance = br.ReadInt16();
                                dzhDay.m_wDecline = br.ReadInt16();

                                //将读出的一条日线数据保存到表格中
                                DataRow dRow = dtData.NewRow();
                                dRow["证券代码"] = dataIndex.stockCode;
                                dRow["日期"]   = dzhDay.m_time;
                                dRow["开盘"]   = dzhDay.m_fOpen.ToString("F2");
                                dRow["最高"]   = dzhDay.m_fHigh.ToString("F2");
                                dRow["最低"]   = dzhDay.m_fLow.ToString("F2");
                                dRow["收盘"]   = dzhDay.m_fClose.ToString("F2");
                                dRow["成交量"]  = dzhDay.m_fVolume.ToString("F0");
                                dRow["成交额"]  = dzhDay.m_fAmount.ToString("F0");
                                //dRow["上涨数"] = dzhDay.m_wAdvance.ToString("F0");
                                //dRow["下跌数"] = dzhDay.m_wDecline.ToString("F0");
                                dtData.Rows.Add(dRow);
                                l++;
                            }
                        }
                    }
                }
            }
            br.Close();
            fs.Close();
            fs.Dispose();
            return(dtData);
        }
Example #8
0
 public YearlyRecurrency(DateTime startDate, int numOccurrences = _Default_Occurrences, int interval = 1, DayOfWeek dayOfWeek = DayOfWeek.Monday, DayIndex dayIndex = DayIndex.First, int month = 1)
     : base(startDate, numOccurrences, interval, dayOfWeek, dayIndex)
 {
     _Month = month;
 }
Example #9
0
 public YearlyRecurrency(DateTime startDate, DateTime endDate, int interval = 1, DayOfWeek dayOfWeek = DayOfWeek.Monday, DayIndex dayIndex = DayIndex.First, int month = 1)
     : base(startDate, endDate, interval, dayOfWeek, dayIndex)
 {
     _Month = month;
 }
 public YearlyRecurrency(DateTime startDate, int numOccurrences = _Default_Occurrences, int interval = 1, DayOfWeek dayOfWeek = DayOfWeek.Monday, DayIndex dayIndex = DayIndex.First, int month = 1)
     : base(startDate, numOccurrences, interval, dayOfWeek, dayIndex)
 {
     _Month = month;
 }
 public YearlyRecurrency(DateTime startDate, DateTime endDate, int interval = 1, DayOfWeek dayOfWeek = DayOfWeek.Monday, DayIndex dayIndex = DayIndex.First, int month = 1)
     : base(startDate, endDate, interval, dayOfWeek, dayIndex)
 {
     _Month = month;
 }
 public MonthlyRecurrency(DateTime startDate, int numOccurrences = _Default_Occurrences, int interval = 1, DayOfWeek dayOfWeek = DayOfWeek.Monday, DayIndex dayIndex = DayIndex.First)
     : base(startDate, numOccurrences, interval)
 {
     SetTypeAndDays(MonthlyType.Weekday, dayOfWeek, dayIndex);
 }
 private void SetTypeAndDays(MonthlyType type, DayOfWeek dayOfWeek, DayIndex dayIndex)
 {
     _Type = type;
     DayOfWeek = dayOfWeek;
     DayIndex = dayIndex;
 }