/// <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); } }