/// <Summary>
/// 预测数据
/// </Summary>
public static void InitForecast()
{
Lt_Forecasts.Clear();//清空数据
if (Tendency.Lt_Tendencys.Count > 0)
{
CurrentTendency.SetCTendencysValue(Tendency.CurrTendency);
addForecastData(Tendency.Lt_BigSmallNames, CurrentTendency.Lt_CurrentBS, CurrentTendency.Lt_CurrentOP, Lt_Forecasts);
addForecastData(Tendency.Lt_OddPairNames, CurrentTendency.Lt_CurrentOP, CurrentTendency.Lt_CurrentBS, Lt_Forecasts);
}
}
/// <summary>
///
/// </summary>
public static void AddAllUnitNames()
{
TendencyModel tm;
List <ForecastModel> lt;
Lt_AllUnitNames.Clear();
for (int i = 0; i < Tendency.Lt_Tendencys.Count; i++)
{
tm = Tendency.Lt_Tendencys[i];
lt = new List <ForecastModel>();
CurrentTendency.SetCTendencysValue(tm);
addForecastData(Tendency.Lt_BigSmallNames, CurrentTendency.Lt_CurrentBS, CurrentTendency.Lt_CurrentOP, lt);
addForecastData(Tendency.Lt_OddPairNames, CurrentTendency.Lt_CurrentOP, CurrentTendency.Lt_CurrentBS, lt);
var vs = lt.OrderBy(l => l.Diff).ThenBy(l => l.Sum).ToList();
string[] array = new string[8];
for (int j = 0; j < vs.Count; j++)
{
array[j] = vs[j].UnitName;
}
Lt_AllUnitNames.Add(array);
}
}