C#下如何用NPlot绘制期货股票K线图:读取数据文件让K线图自动更新
Posted 区块链智能合约
tags:
篇首语：本文由小常识网(cha138.com)小编为大家整理，主要介绍了C#下如何用NPlot绘制期货股票K线图:读取数据文件让K线图自动更新相关的知识，希望对你有一定的参考价值。
[内容介绍]上一篇介绍了K线图的基本绘制方法,但很不完善,本篇增加了它直接读取数据的功能,这对于金融市场的数据量大且又需要动态刷新功能的实现很重要.
[实现方法]
1.需要一个数据文件,这里用的是直接读取由另一个CTP程序从上期交易所接收的期货合约RB1609所写的行情文件日线数据rb1609_d1.txt
文件格式如下:
日期 时间 开盘 最高 最低 收盘 成交量 持仓量
20160810 0.100000 2555.00 2606.00 2540.00 2563.00 3114 6858 20160812 0.100000 2548.00 2554.00 2532.00 2539.00 908 8184 20160812 0.100000 2548.00 2565.00 2461.00 2557.00 5706 6472 20160815 0.100000 2533.00 2546.00 2528.00 2541.00 492 6302 20160815 0.100000 2533.00 2574.00 2492.00 2560.00 3960 5384 20160816 0.100000 2560.00 2594.00 2558.00 2568.00 800 5124 20160816 0.000000 2560.00 2647.00 2558.00 2613.00 4208 5558 20160817 0.000000 2607.00 2626.00 2548.00 2553.00 2104 5266 20160818 0.000000 2550.00 2561.00 2531.00 2545.00 404 5190 20160817 0.000000 2607.00 2626.00 2578.00 2601.00 1244 5438 20160819 0.000000 2549.00 2549.00 2525.00 2533.00 136 4538 20160819 0.000000 2549.00 2549.00 2520.00 2527.00 464 4394 20160819 0.000000 2549.00 2549.00 2520.00 2527.00 540 4350 20160819 0.000000 2549.00 2549.00 2519.00 2519.00 546 4350 20160819 0.000000 2549.00 2549.00 2519.00 2523.00 574 4348 20160819 0.000000 2549.00 2549.00 2519.00 2523.00 574 4348 20160819 0.000000 2549.00 2549.00 2485.00 2515.00 1274 4382 20160822 0.000000 2519.00 2521.00 2498.00 2509.00 208 4342 20160822 0.000000 2519.00 2522.00 2462.00 2480.00 1988 4280 20160823 0.000000 2475.00 2480.00 2465.00 2480.00 162 4210 20160823 0.000000 2475.00 2515.00 2465.00 2512.00 1054 3966 20160824 0.000000 2502.00 2515.00 2495.00 2498.00 160 3972 20160825 0.000000 2519.00 2537.00 2466.00 2486.00 732 3198 20160826 0.000000 2508.00 2509.00 2506.00 2508.00 8 3200 20160826 0.000000 2508.00 2521.00 2476.00 2476.00 844 3038 20160829 0.000000 2478.00 2478.00 2442.00 2453.00 94 3024 20160829 0.000000 2478.00 2478.00 2442.00 2468.00 388 2958 20160830 0.000000 2452.00 2484.00 2452.00 2469.00 102 2922 20160830 0.000000 2452.00 2484.00 2442.00 2442.00 308 2788 20160831 0.000000 2437.00 2452.00 2420.00 2425.00 92 2692 20160831 0.000000 2437.00 2452.00 2420.00 2425.00 92 2692 20160831 0.000000 2437.00 2452.00 2420.00 2425.00 92 2692 20160831 0.000000 2437.00 2452.00 2420.00 2425.00 92 2692 20160831 0.000000 2437.00 2452.00 2420.00 2424.00 154 2644 20160831 0.000000 2437.00 2452.00 2405.00 2424.00 210 2642 20160831 0.000000 2437.00 2452.00 2320.00 2325.00 550 2524 20160901 0.000000 2325.00 2415.00 2325.00 2415.00 64 2520 20160902 0.000000 2407.00 2407.00 2407.00 2407.00 120 2460
2.让程序加载后默认打开这个rb1609_d1.txt文件
使用4个函数:
⑴窗体加载函数
1 private void FormCtp_Load(object sender, EventArgs e)
2 {
3
4 OpenChartFile(file);
5
6 this.MouseWheel += new MouseEventHandler(FormCtp_MouseWheel);
7 timer.Elapsed += new System.Timers.ElapsedEventHandler(timer_Elapsed);
8 timer.Enabled = true;
9 timer.AutoReset = true; //是否不断重复定时器操作
10
11
12 }
⑵打开图表函数,获得合约名称,同时调用读取文件数据函数
1 private void OpenChartFile(string fileName) 2 { 3 this.textBox1.Focus(); 4 if (!String.IsNullOrEmpty(fileName)) 5 { 6 //获取股票合约代码名称 7 int m1 = fileName.LastIndexOf(@"\"); 8 int m2 = fileName.LastIndexOf(@"_"); 9 int m3 = fileName.IndexOf(@".txt"); 10 pathCtp = file.Substring(0, file.LastIndexOf(@"\")); 11 // string[] subLines = pathCtp.Split(‘\\‘); 12 stockName = fileName.Substring(m1 + 1, m2 - m1 - 1); 13 period = fileName.Substring(m2 + 1, m3 - m2 - 1); 14 label_symbol.Text = stockName + @" 周期: " + period; 15 file = fileName; 16 //MessageBox.Show(fileName); 17 DataStock = LoadCtpInfo(file);//读取文件数据到listp 18 DataStock.Reverse();//反转list容器上元素 19 xEnd = 0; 20 xBegin = Math.Min(xInitShowBars, DataStock.Count - 1); 21 xShowBars = xInitShowBars; 22 ReFreshMe(ref xBegin, ref xEnd, ref xShowBars, 0); 23 } 24 }
⑶读取文件数据函数:
1 private List<StockInfo> LoadCtpInfo(string fileName) 2 { 3 //MessageBox.Show(fileName); 4 using (Stream resourceStream = new FileStream(fileName, FileMode.Open, FileAccess.Read, FileShare.ReadWrite)) 5 { 6 using (StreamReader reader = new StreamReader(resourceStream, Encoding.GetEncoding("GB2312"))) 7 { 8 //一次读入所有行到一个string[] 9 var strings = reader.ReadToEnd().Split(new char[] { ‘\n‘ }, StringSplitOptions.RemoveEmptyEntries); 10 textBox1.Text = strings.Length.ToString(); 11 //根据数据文件行数动态构建一个list 12 var res = new List<StockInfo>(strings.Length); 13 //List<Double> DataOpen = new List<Double>(strings.Length); 14 //List<Double> DataHigh = new List<Double>(strings.Length); 15 //List<Double> DataLow = new List<Double>(strings.Length); 16 //List<Double> DataClose = new List<Double>(strings.Length); 17 ////DataVolume = new List<Double>(strings.Length); 18 ////DataHold = new List<Double>(strings.Length); 19 //List<DateTime> DataTime = new List<DateTime>(strings.Length); 20 //List<int> Time = new List<int>(strings.Length); 21 22 //针对每一行文本按<StockInfo>结构添加成股票图数据 23 for (int i = 0; i < strings.Length; i++) 24 { 25 //string line = strings[i]; 26 string[] subLines = strings[i].Split(new char[] { ‘\t‘ }, StringSplitOptions.RemoveEmptyEntries); 27 CtpInfo data = new CtpInfo(); 28 //对每一行文本按<StockInfo>结构进行数据转换 29 CtpTxt2AmCharts(subLines, out data); 30 DateTime date = data.date; 31 Double open = data.open; 32 Double high = data.high; 33 Double low = data.low; 34 Double close = data.close; 35 Double volume = data.volume; 36 Double hold = data.hold; 37 //MessageBox.Show(DataOpen[i].ToString()); 38 //DataHigh.Add(high); 39 //DataLow.Add(low); 40 //DataClose.Add(close); 41 //DataOpen.Add(open); 42 //DataTime.Add(date); 43 //Time.Add(i); 44 res.Add( 45 new StockInfo 46 { 47 date = date, 48 open = open, 49 high = high, 50 low = low, 51 close = close, 52 volume = volume 53 }); 54 } 55 return res; 56 } 57 } 58 }
⑷对每一行文本按<StockInfo>结构进行数据转换函数
1 void CtpTxt2AmCharts(string[] vitems, out CtpInfo data) 2 { 3 //vitems[0]=20160101; 4 data = new CtpInfo(); 5 data.open = Double.Parse(vitems[2].Trim()); 6 data.high = Double.Parse(vitems[3].Trim()); 7 data.low = Double.Parse(vitems[4].Trim()); 8 data.close = Double.Parse(vitems[5].Trim()); 9 data.volume = Double.Parse(vitems[6].Trim()); 10 data.hold = Double.Parse(vitems[7].Trim()); 11 int year = Int32.Parse(vitems[0].Trim().Substring(0, 4)); 12 int month = Int32.Parse(vitems[0].Trim().Substring(4, 2)); 13 int day = Int32.Parse(vitems[0].Trim().Substring(6, 2)); 14 //vitems[1]=0.121212; 15 16 int time = (int)(Double.Parse(vitems[1].Trim()) * 1000000); 17 int h = time / 10000; 18 // MessageBox.Show(vitems[1].Trim()); 19 int m = Int32.Parse(vitems[1].Trim().Substring(4, 2)); 20 // MessageBox.Show(vitems[1].Trim().Substring(4, 2)); 21 // MessageBox.Show(vitems[1].Trim().Substring(6, 2)); 22 int s = Int32.Parse(vitems[1].Trim().Substring(6, 2)); 23 DateTime date1 = new DateTime(year, month, day, h, m, s); 24 //DateTime date0 = new DateTime(1970, 1, 1, 0, 0, 0); 25 //System.TimeSpan timeSpan = date1 - date0; 26 //int timeSign = (int)timeSpan.TotalMinutes; 27 data.date = date1; 28 }
3.上述程序需要使用的一个数据结构文件
1 using System; 2 using System.Collections.Generic; 3 using System.Linq; 4 using System.Text; 5 ///<数据结构文件> 6 ///stockinfo.cs 7 ///<> 8 9 namespace StockAnalyse 10 { 11 /// <summary> 12 /// 股票数据结构信息 13 /// </summary> 14 public class StockInfo 15 { 16 /// <summary> 17 /// 时间 18 /// </summary> 19 public DateTime date { get; set; } 20 21 /// <summary> 22 /// 开盘价 23 /// </summary> 24 public double open { get; set; } 25 /// <summary> 26 /// 最高价 27 /// </summary> 28 public double high { get; set; } 29 /// <summary> 30 /// 最低价 31 /// </summary> 32 public double low { get; set; } 33 /// <summary> 34 /// 收盘价 35 /// </summary> 36 public double close { get; set; } 37 38 /// <summary> 39 /// 成交量 40 /// </summary> 41 public double volume { get; set; } 42 } 43 /// <summary> 44 /// 商品合约列表结构信息 45 /// </summary> 46 public class QuotesInfo 47 { 48 ///////////////////////////// 49 /// 商品名称 50 /////////////////////// 51 public string symbol { get; set; } 52 /// <summary> 53 /// 时间 54 /// </summary> 55 public DateTime date { get; set; } 56 public string time { get; set; } 57 /// <summary> 58 /// 开盘价 59 /// </summary> 60 public double open { get; set; } 61 /// <summary> 62 /// 最高价 63 /// </summary> 64 public double high { get; set; } 65 /// <summary> 66 /// 最低价 67 /// </summary> 68 public double low { get; set; } 69 /// <summary> 70 /// 收盘价 71 /// </summary> 72 public double close { get; set; } 73 74 /// <summary> 75 /// 成交量 76 /// </summary> 77 public double volume { get; set; } 78 } 79 /// <summary> 80 /// Ctp期货数据结构 81 /// </summary> 82 public class CtpInfo 83 { 84 /// <summary> 85 /// 时间 86 /// </summary> 87 public DateTime date { get; set; } 88 89 /// <summary> 90 /// 开盘价 91 /// </summary> 92 public double open { get; set; } 93 /// <summary> 94 /// 最高价 95 /// </summary> 96 public double high { get; set; } 97 /// <summary> 98 /// 最低价 99 /// </summary> 100 public double low { get; set; } 101 /// <summary> 102 /// 收盘价 103 /// </summary> 104 public double close { get; set; } 105 106 /// <summary> 107 /// 成交量 108 /// </summary> 109 public double volume { get; set; } 110 /// <summary> 111 /// 持仓量 112 /// </summary> 113 public double hold { get; set; } 114 } 115 public enum TimeFrame { tick = 0, M1, M5, M15, M30, H1, D1, W1, Mn1, Y1 }; 116 117 }
限于篇幅,有关更多的窗口类的定义,将在下篇中说明.
以上是关于C#下如何用NPlot绘制期货股票K线图:读取数据文件让K线图自动更新的主要内容，如果未能解决你的问题，请参考以下文章
C#下如何用NPlot绘制期货股票K线图:设计要显示的股票价格图表窗口并定义相应类的成员及函数
plotly基于dataframe数据绘制股票K线图并添加技术指标