/// <summary>
/// 索引时序数据
/// </summary>
/// <param name="code"></param>
/// <param name="tu"></param>
/// <returns></returns>
public TimeSerialsDataSet this[String code]
{
get {
if (timeserials.ContainsKey(code))
{
return(timeserials[code]);
}
if (!securities.ContainsKey(code))
{
return(null);
}
SecurityProperties sp = securities[code];
TimeSerialsDataSet ds = TimeSerialsDataSet.Create(sp, dataPath);
timeserials[code] = ds;
return(ds);
}
}
/// <summary>
/// 初始化,缺省初始读取日线数据
/// </summary>
/// <param name="datapath"></param>
public static TimeSerialsDataSet Create(SecurityProperties code, String datapath)
{
TimeSerialsDataSet ds = new TimeSerialsDataSet();
ds.datapath = datapath;
ds.code = code.Code;
ds.baseName = code.Exchange + ds.code;
String dayFilename = ds.baseName + ".csv";
ds.CreateOrLoad <KLine>("kline", TimeUnit.day);
/*KLine kline = new KLine(code.Code, TimeUnit.day);
* kline.Load(datapath+"kline\\"+dayFilename, false, ",");
* //kline.Load(dayFilename, false, ",", new String[] { "时间", "开盘", "最高", "最低", "收盘", "成交量", "成交额" });
* ConcurrentDictionary<String, Object> datas = new ConcurrentDictionary<string, object>();
* datas["kline"] = kline;
* ds.timeSerials.Add(TimeUnit.day, datas);*/
return(ds);
}
/// <summary>
/// 静态初始化方法
/// </summary>
static TimeSerialsDataSet()
{
IndicatorMetaCollection.META_CUBEBUY.Geneartor = props =>
{
TimeSerialsDataSet tsd = (TimeSerialsDataSet)props["TimeSerialsDataSet"];
TimeUnit tu = (TimeUnit)props["timeunit"];
String dataname = (String)props["name"];
String code = (String)props["code"];
return(tsd.CubeCreate(tu, false).buyLine);
};
IndicatorMetaCollection.META_CUBESELL.Geneartor = props =>
{
TimeSerialsDataSet tsd = (TimeSerialsDataSet)props["TimeSerialsDataSet"];
TimeUnit tu = (TimeUnit)props["timeunit"];
String dataname = (String)props["name"];
String code = (String)props["code"];
return(tsd.CubeCreate(tu, false).sellLine);
};
IndicatorMetaCollection.META_CUBEPT.Geneartor = props =>
{
TimeSerialsDataSet tsd = (TimeSerialsDataSet)props["TimeSerialsDataSet"];
TimeUnit tu = (TimeUnit)props["timeunit"];
String dataname = (String)props["name"];
String code = (String)props["code"];
return(tsd.CubeCreate(tu, false).buysellPoints);
};
IndicatorMetaCollection.META_FUND_TREND.Geneartor = props =>
{
TimeSerialsDataSet tsd = (TimeSerialsDataSet)props["TimeSerialsDataSet"];
TimeUnit tu = (TimeUnit)props["timeunit"];
String dataname = (String)props["name"];
String code = (String)props["code"];
return(tsd.FundTrendCreate(tu));
};
IndicatorMetaCollection.META_FUND_CROSS.Geneartor = props =>
{
TimeSerialsDataSet tsd = (TimeSerialsDataSet)props["TimeSerialsDataSet"];
TimeUnit tu = (TimeUnit)props["timeunit"];
String dataname = (String)props["name"];
String code = (String)props["code"];
return(tsd.FundTrendCrossCreate(tu));
};
IndicatorMetaCollection.META_MACD.Geneartor = props =>
{
TimeSerialsDataSet tsd = (TimeSerialsDataSet)props["TimeSerialsDataSet"];
TimeUnit tu = (TimeUnit)props["timeunit"];
String dataname = (String)props["name"];
String code = (String)props["code"];
KLine kline = tsd.KLineCreateOrLoad(tu);
if (kline == null)
{
return(null);
}
return(MACD.Create(kline));
};
}
