public static dynamic[] macd60()
{
var kas = new db().kanalytics("60")
.Where(p => { return(p.macd > 0 && p.dif <= 0.01); })
.ToArray();
if (!kas.Any())
{
return(new dynamic[0]);
}
kas = new db().kanalytic(kas.Select(p => p.code).Distinct().ToArray(), "15")
.Where(p => { return(p.macd > 0); })
.ToArray();
if (!kas.Any())
{
return(new dynamic[0]);
}
kas = kas
.AsParallel()
.Where(p =>
{
var k = new kdatadb().kdata(p.code, "15");
if (k == null || !k.Any())
{
return(false);
}
var deviation = (deviation) new DEVIATION(k.close(), deviationtype.底背离);
return(deviation != null && deviation.d2.Date.Date >= p.date.Date);
})
.ToArray();
if (!kas.Any())
{
return(new dynamic[0]);
}
var codes = kas.Select(p => p.code).Distinct().ToArray();
var basics = new db().basics(codes);
var ka = new db().kanalytic(codes, "D");
var q = (from k in ka
join t in basics on k.code equals t.code
where t.assettype == assettypes.stock && !t.terminated && !t.suspended && !t.st
select new { k, t }
)
.Select(_ =>
{
var k = _.k;
var t = _.t;
dynamic d = new ExpandoObject();
d.date = k.date;
d.pe = t.pe;
d.code = t.code;
d.name = t.name;
d.high = k.high;
d.low = k.low;
d.open = k.open;
d.close = k.close;
d.volume = k.volume;
d.chg = k.chg;
d.pb = t.pb;
d.pe = t.pe;
return(d);
});
var r = q
.OrderBy(p => p.code)
.ThenByDescending(p => p.date)
.GroupBy(p => new { p.code })
.Select(p => p.First())
.ToArray();
return(r);
}
