├── README.md
├── aiops
    ├── root_cause
    │   └── RCA.py
    └── util
    │   ├── common_util.py
    │   └── time_series_tool.py
├── data
    ├── aperiodic.csv
    ├── api_access_fix.csv
    ├── process_trace.csv
    └── stable.csv
└── examples
    ├── check_flow_anomaly_detection.py
    ├── check_stable_anomaly_detection.py
    ├── data_classification_tree.py
    ├── is_periodicity.py
    ├── is_stable.py
    ├── kde_transformation.py
    └── root_cause_detection.py


/README.md:
--------------------------------------------------------------------------------
 1 | # aiops
 2 | 原理和代码说明
 3 | https://blog.csdn.net/qq_33873431/category_10028725.html
 4 | 
 5 | ## examples/is_stable.py
 6 | 通过小波变换检测波形是否平稳
 7 | 
 8 | ## examples/is_periodicity.py
 9 | 通过傅里叶变换检测波形是否为周期性
10 | 
11 | ## examples/data_classification_tree.py
12 | 算法选择树，判断波形属于周期型、平稳型还是非周期性
13 | 
14 | ## examples/kde_transformation.py
15 | 核密度估计(kde)实现异常程度转换
16 | 
17 | ## examples/root_cause_detection.py
18 | 通过异常分数表实现根因节点查找


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/aiops/root_cause/RCA.py:
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  1 | # encoding: utf-8
  2 | """
  3 | @file: RCA.py
  4 | @desc: 
  5 | """
  6 | 
  7 | import time
  8 | import traceback
  9 | 
 10 | import numpy as np
 11 | import pandas as pd
 12 | from scipy.stats import t
 13 | from termcolor import colored
 14 | 
 15 | 
 16 | class RCA():
 17 |     """
 18 |     根因定位类
 19 |     """
 20 | 
 21 |     def __init__(self, trace_data, alpha=0.99, ub=0.1, take_minute_averages_of_trace_data=True,
 22 |                  division_milliseconds=60000):
 23 |         self.trace_data = trace_data
 24 |         self.alpha = alpha
 25 |         self.ub = ub
 26 |         self.anomaly_chart = None
 27 |         self.take_minute_averages_of_trace_data = take_minute_averages_of_trace_data
 28 |         self.division_milliseconds = division_milliseconds
 29 | 
 30 |     def run(self):
 31 |         """
 32 |         :return: 异常/None列表
 33 |         """
 34 |         overall_start_time = time.time()
 35 | 
 36 |         print('计算异常分数图表')
 37 |         self.hesd_trace_detection(alpha=self.alpha, ub=self.ub)
 38 |         print('异常分数图表完成')
 39 | 
 40 |         output = self.find_anomalous_hosts()
 41 | 
 42 |         print('输出结果: ' + colored(str(output), 'magenta'))
 43 | 
 44 |         print('处理RCA时间：' + colored('%f', 'cyan') %
 45 |               (time.time() - overall_start_time) + '秒.')
 46 |         return output
 47 | 
 48 |     def esd_test_statistics(self, x, hybrid=True):
 49 |         """ 计算用于执行ESD test的location and dispersion样本统计量。
 50 |         :param x:
 51 |         :param hybrid:
 52 |         :return: 用于ESD的两个统计数据
 53 |         """
 54 |         if hybrid:
 55 |             location = np.ma.median(x)  # Median
 56 |             dispersion = np.ma.median(np.abs(x - np.median(x)))  # Median Absolute Deviation
 57 |         else:
 58 |             location = np.ma.mean(x)  # Mean
 59 |             dispersion = np.ma.std(x)  # Standard Deviation
 60 | 
 61 |         return location, dispersion
 62 | 
 63 |     def esd_test(self, x, alpha=0.95, ub=0.499, hybrid=True):
 64 |         """ ESD检测
 65 |         :param x: List, array, or series containing the time series
 66 |         :param alpha: 检测异常值的置信度
 67 |         :param ub: 取10%，可标记为异常值的数据点分数的上界（<=0.499）
 68 |         :param hybrid: 开启hybrid
 69 |         :return: 过去20分钟的分数
 70 |         """
 71 |         x = [p for p in x if p == p]
 72 |         nobs = len(x)
 73 |         if ub > 0.4999:
 74 |             ub = 0.499
 75 |         # k为最大异常个数，ub0.1取数据总量10%
 76 |         k = max(int(np.floor(ub * nobs)), 1)
 77 |         # ma结构可排除计算过的
 78 |         res = np.ma.array(x, mask=False)
 79 |         anomalies = []
 80 |         med = np.median(x)
 81 |         # 1<=i<=k
 82 |         for i in range(1, k + 1):
 83 |             location, dispersion = self.esd_test_statistics(res, hybrid)
 84 |             tmp = np.abs(res - location) / dispersion  # location：median(X)，dispersion：MAD
 85 |             idx = np.argmax(tmp)  # Index of the test statistic
 86 |             # 残差test_statistic
 87 |             test_statistic = tmp[idx]
 88 |             n = nobs - res.mask.sum()  # sums  nonmasked values
 89 |             # 临界值critical_value,  t.ppf t分布 ppf 百分点函数，概率密度函数的积分值
 90 |             critical_value = (n - i) * t.ppf(alpha, n - i - 1) / np.sqrt(
 91 |                 (n - i - 1 + np.power(t.ppf(alpha, n - i - 1), 2)) * (n - i - 1))
 92 |             if test_statistic > critical_value:
 93 |                 anomalies.append((x[idx] - med) / med)  # 找到异常点后，减中位数再除中位数，作为分数
 94 |             res.mask[idx] = True
 95 |         if len(anomalies) == 0:
 96 |             return 0
 97 |         return np.nanmean(np.abs(anomalies))
 98 | 
 99 |     def hesd_trace_detection(self, alpha=0.95, ub=0.02, show_pic=False):
100 |         """
101 |         在trace数据上使用S-H-ESD来创建异常图。
102 |         :param alpha:用于ESD的alpha值
103 |         :param ub:ESD ub值
104 |         :param show_pic:
105 |         :return: 异常图(pd.DataFrame())
106 |         """
107 |         grouped_df = self.trace_data.groupby(['cmdb_id', 'serviceName'])[['startTime', 'success', 'elapsedTime']]
108 | 
109 |         self.anomaly_chart = pd.DataFrame()
110 |         for (a, b), value in grouped_df:
111 |             failure = 0
112 |             # 个性化部分，考虑db异常
113 |             # if 'db' in b:
114 |             #     failure = sum(value['success'] == False) * 5
115 |             value['time_group'] = value.startTime // self.division_milliseconds  # 转换为分钟，取近N分钟，N个点
116 |             value = value.groupby(['time_group'])['elapsedTime'].mean().reset_index()  # time_group、elapsedTime分组取均值
117 |             value = value['elapsedTime'].to_numpy()
118 |             result = 0
119 |             try:
120 |                 result = self.esd_test(value, alpha=alpha, ub=ub, hybrid=False)
121 |             except Exception as ex:
122 |                 print('esd_test error:')
123 |                 print(value)
124 |                 traceback.print_exc()
125 |                 result = 0
126 |             self.anomaly_chart.loc[b, a] = result + failure
127 | 
128 |         self.anomaly_chart = self.anomaly_chart.sort_index()
129 | 
130 |         if show_pic is True:
131 |             from pyecharts import options as opts
132 |             from pyecharts.charts import Graph
133 |             nodes, edges = [], []
134 |             nodes_set = set()
135 |             for col in self.anomaly_chart:
136 |                 for index, row in self.anomaly_chart.iterrows():
137 |                     nodes_set.add(index)
138 |                     nodes_set.add(col)
139 |                     if str(row[col]) != 'nan':
140 |                         edges.append({'source': str(col), 'target': str(index)})
141 |             for node in nodes_set:
142 |                 nodes.append({'name': str(node), 'symbolSize': 25})
143 |             # Graph(init_opts=opts.InitOpts(width="1024px", height="800px"))
144 |             (
145 |                 Graph()
146 |                     .add("", nodes, edges, repulsion=7000, layout="force", is_rotate_label=True,
147 |                          edge_symbol=['none', 'arrow'])
148 |                     .set_global_opts(title_opts=opts.TitleOpts(title="Graph"))
149 |             ).render('./pic/graph.html')
150 | 
151 |         return self.anomaly_chart
152 | 
153 |     def find_anomalous_hosts(self, min_threshold=10):
154 |         """异常图里找到根因主机
155 |         :param min_threshold: 最小阈值
156 |         :return: 异常主机字典和kpi字典
157 |         """
158 |         table = self.anomaly_chart.copy()
159 |         # 设置阈值，anomaly_chart最大值的20%，达不到则用min_threshold
160 |         threshold = max(0.2 * table.stack().max(), min_threshold)
161 |         print('异常图中最大的值: %f' % table.stack().max())
162 |         print('阈值: %f' % threshold)
163 | 
164 |         # rows/columns异常数量，行代表入边，列代表出边
165 |         row_dict = {}
166 |         column_dict = {}
167 |         # rows存异常图表对应所有列的值
168 |         row_confidence_dict = {}
169 |         column_confidence_dict = {}
170 | 
171 |         for column in table:
172 |             for index, row in table.iterrows():
173 |                 increment = 0
174 |                 if row[column] >= threshold:
175 |                     # 大于阈值，单元格对应的行列，异常数+1
176 |                     increment = 1
177 | 
178 |                 column_dict[column] = column_dict.get(column, 0)
179 |                 column_dict[column] += increment
180 |                 column_confidence_dict[column] = column_confidence_dict.get(column, [])
181 |                 column_confidence_dict[column].append(row[column])
182 | 
183 |                 row_dict[index] = row_dict.get(index, 0)
184 |                 row_dict[index] += increment
185 |                 row_confidence_dict[index] = row_confidence_dict.get(index, [])
186 |                 row_confidence_dict[index].append(row[column])
187 | 
188 |         for key, value in column_confidence_dict.items():
189 |             # column_confidence_dict key每列对应所有行求和
190 |             column_confidence_dict[key] = np.nansum(value)
191 | 
192 |         for key, value in row_confidence_dict.items():
193 |             # row_confidence_dict key每行对应所有行求和
194 |             row_confidence_dict[key] = np.nansum(value)
195 | 
196 |         final_dict = {}
197 |         # 按行取中值,不受拓扑变化的影响
198 |         for key in list(row_dict.keys()):
199 |             # 有出入边的节点
200 |             if key in list(column_dict.keys()):
201 |                 row_dict[key] = (row_dict[key] * 2 + column_dict[key]) // 2
202 |                 row_confidence_dict[key] = (row_confidence_dict[key] + column_confidence_dict[key]) / 2
203 |             # 入边的节点计算以及处理过的有出入边的节点
204 |             final_dict[key] = row_dict[key] * row_confidence_dict[key]
205 | 
206 |         # 异常分数排序
207 |         dodgy_hosts = dict(sorted(final_dict.items(), key=lambda item: item[1], reverse=True))
208 |         # 通过取异常分数Max的10%或1来过滤不太可能的异常
209 |         m = 0.1 * max(list(dodgy_hosts.values()) + [10])
210 |         dodgy_hosts = {k: v for k, v in dodgy_hosts.items() if (v > m)}
211 | 
212 |         output = self.localize(dodgy_hosts)
213 |         return output
214 | 
215 |     def localize(self, dodgy_host_dict):
216 |         n = len(dodgy_host_dict)
217 |         print('异常节点数 %d ，具体如下:' % n)
218 |         print(dodgy_host_dict)
219 |         return dodgy_host_dict
220 | 


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/aiops/util/common_util.py:
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 1 | # encoding: utf-8
 2 | """
 3 | @author: lee
 4 | @time: 2021/4/7 10:18
 5 | @file: common_util.py
 6 | @desc: 
 7 | """
 8 | import numpy as np
 9 | 
10 | 
11 | def find_nearest(array, value):
12 |     """ 查找ndarray最接近value的值
13 |     :param array: ndarray
14 |     :param value: 要找的值
15 |     :return: index索引，具体的值
16 |     """
17 |     array = np.asarray(array)
18 |     idx = (np.abs(array - value)).argmin()
19 |     return idx, array[idx]
20 | 
21 | 
22 | def create_step_dataset(data, step=1, out_units=1):
23 |     data_x, data_y = [], []
24 |     for i in range(len(data) - step):
25 |         # 取step行数据
26 |         data_x.append(data[i:(i + step)])
27 |         # 输出几列
28 |         data_y.append(data[(i + step):(i + step + out_units)])
29 |     return np.array(data_x), np.array(data_y)
30 | 


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/aiops/util/time_series_tool.py:
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 1 | # encoding: utf-8
 2 | """
 3 | @author: lee
 4 | @time: 2021/3/19 9:54
 5 | @file: time_series_tool.py
 6 | @desc: 
 7 | """
 8 | import matplotlib.pylab as plt
 9 | import numpy as np
10 | import pandas as pd
11 | from pywt import wavedec
12 | from scipy import signal
13 | 
14 | 
15 | def data_classification_tree(data):
16 |     """
17 |     :param data: 检测数据，ndarray类型
18 |     :return: 0 平稳数据,1 周期数据, 2非周期数据
19 |     """
20 |     boolen_is_stable = is_stable(data)
21 |     boolen_is_periodicity = is_periodicity(data)
22 |     if boolen_is_stable:
23 |         # 平稳数据
24 |         return 0
25 |     else:
26 |         if boolen_is_periodicity[0]:
27 |             # 周期数据
28 |             return 1
29 |         else:
30 |             # 非周期数据
31 |             return 2
32 | 
33 | 
34 | def is_periodicity(data, show_pic=False):
35 |     """
36 |     :param data:  检测数据，ndarray类型
37 |     :param show_pic: 是否展示图片
38 |     :return: is_cycle为是否周期性, cycles为可能的周期列表
39 |     """
40 |     # 使用周期图法估计功率谱密度
41 |     f, Pxx_den = signal.periodogram(data)
42 | 
43 |     if show_pic is True:
44 |         plt.plot(1 / f, Pxx_den)
45 |         plt.show()
46 | 
47 |     result = pd.DataFrame(columns=['freq', 'spec'])
48 |     result['freq'] = f
49 |     result['spec'] = Pxx_den
50 |     # 按照频率强弱程度降序排列
51 |     result = result.sort_values(by='spec', ascending=False)
52 |     # 频率转换为周期
53 |     cycle_list = 1 / result.head(2)['freq'].values
54 |     is_cycle = False
55 |     cycles = []
56 |     for cycle in cycle_list:
57 |         # 判断是不是整数
58 |         if cycle % 1 == 0:
59 |             is_cycle = True
60 |             cycles.append(cycle)
61 |     return is_cycle, cycles
62 | 
63 | 
64 | def is_stable(data, n_threshold=1.1, show_pic=False):
65 |     """
66 |     :param data: 检测数据，ndarray类型
67 |     :param n_threshold: 阈值
68 |     :param show_pic: 是否展示图片
69 |     :return: True为平稳数据，False波动数据
70 |     """
71 |     # 标准差
72 |     raw_data_std = np.std(data, ddof=1)
73 |     # 一维离散信号的小波变换
74 |     coeffs = wavedec(data, 'db4', level=2)
75 |     cA2, cD2, cD1 = coeffs
76 |     # cD2标准差
77 |     cD2_std = np.std(cD2, ddof=1)
78 | 
79 |     if show_pic is True:
80 |         plt.subplot(311)
81 |         plt.title('original')
82 |         plt.plot(data)
83 |         plt.subplot(312)
84 |         plt.title('ca2')
85 |         plt.plot(cA2)
86 |         plt.subplot(313)
87 |         plt.title('cd2')
88 |         plt.plot(cD2)
89 |         plt.show()
90 | 
91 |     # 全局波动指标与局部波动指标的比值来描述两者的差异
92 |     n = raw_data_std / cD2_std
93 |     # 比值小于阈值为平稳数据，大于为波动数据
94 |     if n < n_threshold:
95 |         return True
96 |     else:
97 |         return False
98 | 


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/data/stable.csv:
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   1 | date,count
   2 | 2019/4/22 10:35,99.34
   3 | 2019/4/22 10:36,99.29
   4 | 2019/4/22 10:56,99.26
   5 | 2019/4/22 11:03,99.37
   6 | 2019/4/22 11:15,99.27
   7 | 2019/4/22 11:32,99.32
   8 | 2019/4/22 11:35,99.33
   9 | 2019/4/22 11:40,99.27
  10 | 2019/4/22 11:54,99.35
  11 | 2019/4/22 12:04,99.32
  12 | 2019/4/22 12:11,99.24
  13 | 2019/4/22 12:23,99.37
  14 | 2019/4/22 12:34,99.32
  15 | 2019/4/22 12:42,99.38
  16 | 2019/4/22 12:56,99.35
  17 | 2019/4/22 13:03,99.38
  18 | 2019/4/22 13:15,99.38
  19 | 2019/4/22 13:22,99.37
  20 | 2019/4/22 13:31,99.4
  21 | 2019/4/22 13:45,99.29
  22 | 2019/4/22 13:56,99.26
  23 | 2019/4/22 14:03,99.33
  24 | 2019/4/22 14:22,99.24
  25 | 2019/4/22 14:22,99.41
  26 | 2019/4/22 14:38,99.3
  27 | 2019/4/22 14:42,99.4
  28 | 2019/4/22 14:52,99.35
  29 | 2019/4/22 15:04,99.29
  30 | 2019/4/22 15:17,99.24
  31 | 2019/4/22 15:23,99.32
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 146 | 2019/4/23 11:10,99.3
 147 | 2019/4/23 11:20,99.26
 148 | 2019/4/23 11:30,99.32
 149 | 2019/4/23 11:40,99.37
 150 | 2019/4/23 11:50,99.35
 151 | 2019/4/23 12:00,99.26
 152 | 2019/4/23 12:10,99.32
 153 | 2019/4/23 12:20,99.34
 154 | 2019/4/23 12:30,99.41
 155 | 2019/4/23 12:40,99.29
 156 | 2019/4/23 12:50,99.24
 157 | 2019/4/23 13:00,99.4
 158 | 2019/4/23 13:10,99.15
 159 | 2019/4/23 13:20,99.37
 160 | 2019/4/23 13:30,99.33
 161 | 2019/4/23 13:40,99.21
 162 | 2019/4/23 13:50,99.16
 163 | 2019/4/23 14:00,99.24
 164 | 2019/4/23 14:10,99.24
 165 | 2019/4/23 14:20,99.23
 166 | 2019/4/23 14:30,99.23
 167 | 2019/4/23 14:40,99.3
 168 | 2019/4/23 14:50,99.26
 169 | 2019/4/23 15:00,99.07
 170 | 2019/4/23 15:10,99.38
 171 | 2019/4/23 15:20,99.24
 172 | 2019/4/23 15:30,99.24
 173 | 2019/4/23 15:40,99.38
 174 | 2019/4/23 15:50,99.35
 175 | 2019/4/23 16:00,99.29
 176 | 2019/4/23 16:10,99.49
 177 | 2019/4/23 16:20,99.32
 178 | 2019/4/23 16:30,99.35
 179 | 2019/4/23 16:40,99.24
 180 | 2019/4/23 16:50,99.37
 181 | 2019/4/23 17:00,99.35
 182 | 2019/4/23 17:10,99.49
 183 | 2019/4/23 17:20,99.35
 184 | 2019/4/23 17:30,99.41
 185 | 2019/4/23 17:40,99.26
 186 | 2019/4/23 17:50,99.32
 187 | 2019/4/23 18:00,99.32
 188 | 2019/4/23 18:10,99.21
 189 | 2019/4/23 18:20,99.24
 190 | 2019/4/23 18:30,99.33
 191 | 2019/4/23 18:40,99.3
 192 | 2019/4/23 18:50,99.27
 193 | 2019/4/23 19:00,99.32
 194 | 2019/4/23 19:10,99.24
 195 | 2019/4/23 19:20,99.33
 196 | 2019/4/23 19:30,99.41
 197 | 2019/4/23 19:40,99.43
 198 | 2019/4/23 19:50,99.27
 199 | 2019/4/23 20:00,99.37
 200 | 2019/4/23 20:10,99.26
 201 | 2019/4/23 20:20,99.35
 202 | 2019/4/23 20:30,99.32
 203 | 2019/4/23 20:40,99.29
 204 | 2019/4/23 20:50,99.35
 205 | 2019/4/23 21:00,99.2
 206 | 2019/4/23 21:10,99.33
 207 | 2019/4/23 21:20,99.43
 208 | 2019/4/23 21:30,99.33
 209 | 2019/4/23 21:40,99.35
 210 | 2019/4/23 21:50,99.26
 211 | 2019/4/23 22:00,99.21
 212 | 2019/4/23 22:10,99.23
 213 | 2019/4/23 22:20,99.24
 214 | 2019/4/23 22:30,99.24
 215 | 2019/4/23 22:40,99.38
 216 | 2019/4/23 22:50,99.32
 217 | 2019/4/23 23:00,99.32
 218 | 2019/4/23 23:10,99.35
 219 | 2019/4/23 23:20,99.3
 220 | 2019/4/23 23:30,99.36
 221 | 2019/4/23 23:40,99.29
 222 | 2019/4/23 23:50,99.32
 223 | 2019/4/24 0:00,99.35
 224 | 2019/4/24 0:10,99.24
 225 | 2019/4/24 0:20,99.23
 226 | 2019/4/24 0:30,99.32
 227 | 2019/4/24 0:40,99.41
 228 | 2019/4/24 0:50,99.29
 229 | 2019/4/24 1:00,99.26
 230 | 2019/4/24 1:11,99.23
 231 | 2019/4/24 1:20,99.38
 232 | 2019/4/24 1:30,99.23
 233 | 2019/4/24 1:40,99.33
 234 | 2019/4/24 1:50,99.29
 235 | 2019/4/24 2:00,99.32
 236 | 2019/4/24 2:10,99.24
 237 | 2019/4/24 2:20,99.37
 238 | 2019/4/24 2:30,99.3
 239 | 2019/4/24 2:40,99.32
 240 | 2019/4/24 2:50,99.26
 241 | 2019/4/24 3:00,99.33
 242 | 2019/4/24 3:10,99.24
 243 | 2019/4/24 3:20,99.26
 244 | 2019/4/24 3:30,99.33
 245 | 2019/4/24 3:51,99.4
 246 | 2019/4/26 17:30,99.33
 247 | 2019/4/26 17:34,99.47
 248 | 2019/4/26 17:33,99.27
 249 | 2019/4/26 17:34,99.24
 250 | 2019/4/26 17:36,99.33
 251 | 2019/4/26 17:37,99.23
 252 | 2019/4/26 17:38,99.24
 253 | 2019/4/26 17:40,99.35
 254 | 2019/4/26 17:51,99.3
 255 | 2019/4/26 18:00,99.27
 256 | 2019/4/26 18:11,99.26
 257 | 2019/4/26 18:20,99.26
 258 | 2019/4/26 18:30,99.33
 259 | 2019/4/26 18:40,99.26
 260 | 2019/4/26 18:50,99.23
 261 | 2019/4/26 19:01,99.32
 262 | 2019/4/26 19:10,99.26
 263 | 2019/4/26 19:20,99.21
 264 | 2019/4/26 19:30,99.37
 265 | 2019/4/26 19:40,99.46
 266 | 2019/4/26 19:50,99.3
 267 | 2019/4/26 20:00,99.21
 268 | 2019/4/26 20:10,99.21
 269 | 2019/4/26 20:20,99.35
 270 | 2019/4/26 20:31,99.27
 271 | 2019/4/26 20:40,99.38
 272 | 2019/4/26 20:50,99.36
 273 | 2019/4/26 21:01,99.26
 274 | 2019/4/26 21:11,99.24
 275 | 2019/4/26 21:20,99.4
 276 | 2019/4/26 21:30,99.29
 277 | 2019/4/26 21:40,99.26
 278 | 2019/4/26 21:50,99.32
 279 | 2019/4/26 22:00,99.16
 280 | 2019/4/26 22:10,99.37
 281 | 2019/4/26 22:20,99.35
 282 | 2019/4/26 22:30,99.37
 283 | 2019/4/26 22:41,99.23
 284 | 2019/4/26 22:50,99.29
 285 | 2019/4/26 23:00,99.29
 286 | 2019/4/26 23:10,99.29
 287 | 2019/4/26 23:20,99.3
 288 | 2019/4/26 23:31,99.33
 289 | 2019/4/26 23:41,99.24
 290 | 2019/4/26 23:50,99.27
 291 | 2019/4/27 0:00,99.4
 292 | 2019/4/27 0:10,99.29
 293 | 2019/4/27 0:20,99.26
 294 | 2019/4/27 0:31,99.27
 295 | 2019/4/27 0:40,99.29
 296 | 2019/4/27 0:51,99.29
 297 | 2019/4/27 1:00,99.32
 298 | 2019/4/27 1:10,99.38
 299 | 2019/4/27 1:20,99.37
 300 | 2019/4/27 1:30,99.23
 301 | 2019/4/27 1:41,99.43
 302 | 2019/4/27 1:50,99.27
 303 | 2019/4/27 2:00,99.19
 304 | 2019/4/27 2:10,99.3
 305 | 2019/4/27 2:21,99.27
 306 | 2019/4/27 2:31,99.29
 307 | 2019/4/27 2:40,99.35
 308 | 2019/4/27 2:50,99.26
 309 | 2019/4/27 3:00,99.29
 310 | 2019/4/27 3:11,99.41
 311 | 2019/4/27 3:20,99.23
 312 | 2019/4/27 3:30,99.4
 313 | 2019/4/27 3:40,99.23
 314 | 2019/4/27 3:50,99.33
 315 | 2019/4/27 4:01,99.38
 316 | 2019/4/27 4:10,99.32
 317 | 2019/4/27 4:20,99.33
 318 | 2019/4/27 4:30,99.29
 319 | 2019/4/27 4:41,99.26
 320 | 2019/4/27 4:51,99.3
 321 | 2019/4/27 5:00,99.32
 322 | 2019/4/27 5:10,99.27
 323 | 2019/4/27 5:20,99.13
 324 | 2019/4/27 5:30,99.37
 325 | 2019/4/27 5:40,99.33
 326 | 2019/4/27 5:50,99.19
 327 | 2019/4/27 6:01,99.37
 328 | 2019/4/27 6:10,99.21
 329 | 2019/4/27 6:21,99.23
 330 | 2019/4/27 6:30,99.38
 331 | 2019/4/27 6:40,99.35
 332 | 2019/4/27 6:51,99.33
 333 | 2019/4/27 7:00,99.29
 334 | 2019/4/27 7:10,99.26
 335 | 2019/4/27 7:20,99.27
 336 | 2019/4/27 7:30,99.3
 337 | 2019/4/27 7:40,99.32
 338 | 2019/4/27 7:50,99.32
 339 | 2019/4/27 8:00,99.27
 340 | 2019/4/27 8:10,99.32
 341 | 2019/4/27 8:20,99.35
 342 | 2019/4/27 8:31,99.41
 343 | 2019/4/27 8:40,99.32
 344 | 2019/4/27 8:51,99.3
 345 | 2019/4/27 9:01,99.35
 346 | 2019/4/27 9:11,99.26
 347 | 2019/4/27 9:20,99.38
 348 | 2019/4/27 9:30,99.33
 349 | 2019/4/27 9:40,99.29
 350 | 2019/4/27 9:51,99.3
 351 | 2019/4/27 10:01,99.19
 352 | 2019/4/27 10:11,99.29
 353 | 2019/4/27 10:20,99.27
 354 | 2019/4/27 10:30,99.2
 355 | 2019/4/27 10:40,99.35
 356 | 2019/4/27 10:50,99.26
 357 | 2019/4/27 11:00,99.26
 358 | 2019/4/27 11:10,99.26
 359 | 2019/4/27 11:21,99.32
 360 | 2019/4/27 11:30,99.27
 361 | 2019/4/27 11:40,99.3
 362 | 2019/4/27 11:50,99.38
 363 | 2019/4/27 12:00,99.27
 364 | 2019/4/27 12:10,99.33
 365 | 2019/4/27 12:20,99.41
 366 | 2019/4/27 12:30,99.33
 367 | 2019/4/27 12:40,99.33
 368 | 2019/4/27 12:51,99.29
 369 | 2019/4/27 13:00,99.23
 370 | 2019/4/27 13:10,99.34
 371 | 2019/4/27 13:20,99.27
 372 | 2019/4/27 13:30,99.29
 373 | 2019/4/27 13:41,99.38
 374 | 2019/4/27 13:50,99.26
 375 | 2019/4/27 14:00,99.26
 376 | 2019/4/27 14:10,99.44
 377 | 2019/4/27 14:20,99.27
 378 | 2019/4/27 14:30,99.27
 379 | 2019/4/27 14:41,99.19
 380 | 2019/4/27 14:50,99.29
 381 | 2019/4/27 15:00,99.32
 382 | 2019/4/27 15:10,99.23
 383 | 2019/4/27 15:20,99.32
 384 | 2019/4/27 15:30,99.29
 385 | 2019/4/27 15:40,99.37
 386 | 2019/4/27 15:50,99.26
 387 | 2019/4/27 16:00,99.32
 388 | 2019/4/27 16:10,99.3
 389 | 2019/4/27 16:21,99.38
 390 | 2019/4/27 16:31,99.24
 391 | 2019/4/27 16:40,99.35
 392 | 2019/4/27 16:51,99.35
 393 | 2019/4/27 17:01,99.4
 394 | 2019/4/27 17:11,99.26
 395 | 2019/4/27 17:20,99.29
 396 | 2019/4/27 17:30,99.26
 397 | 2019/4/27 17:40,99.21
 398 | 2019/4/27 17:50,99.3
 399 | 2019/4/27 18:00,99.47
 400 | 2019/4/27 18:11,99.35
 401 | 2019/4/27 18:20,99.3
 402 | 2019/4/27 18:31,99.3
 403 | 2019/4/27 18:40,99.29
 404 | 2019/4/27 18:50,99.4
 405 | 2019/4/27 19:00,99.29
 406 | 2019/4/27 19:10,99.26
 407 | 2019/4/27 19:20,99.43
 408 | 2019/4/27 19:30,99.29
 409 | 2019/4/27 19:40,99.29
 410 | 2019/4/27 19:50,99.1
 411 | 2019/4/27 20:01,99.43
 412 | 2019/4/27 20:11,97.69
 413 | 2019/4/27 20:20,99.26
 414 | 2019/4/27 20:30,99.01
 415 | 2019/4/27 20:40,99.38
 416 | 2019/4/27 20:50,99.26
 417 | 2019/4/27 21:00,99.37
 418 | 2019/4/27 21:10,99.2
 419 | 2019/4/27 21:20,99.33
 420 | 2019/4/27 21:30,99.26
 421 | 2019/4/27 21:40,99.38
 422 | 2019/4/27 21:50,99.32
 423 | 2019/4/27 22:00,99.44
 424 | 2019/4/27 22:10,99.44
 425 | 2019/4/27 22:20,99.23
 426 | 2019/4/27 22:30,99.2
 427 | 2019/4/27 22:40,99.54
 428 | 2019/4/27 22:50,99.38
 429 | 2019/4/27 23:00,99.37
 430 | 2019/4/27 23:10,99.3
 431 | 2019/4/27 23:20,99.32
 432 | 2019/4/27 23:31,99.34
 433 | 2019/4/27 23:40,99.35
 434 | 2019/4/27 23:51,99.29
 435 | 2019/4/28 0:10,99.32
 436 | 2019/4/28 0:20,99.23
 437 | 2019/4/28 0:30,99.4
 438 | 2019/4/28 0:40,99.3
 439 | 2019/4/28 0:50,99.35
 440 | 2019/4/28 1:00,99.24
 441 | 2019/4/28 1:11,99.2
 442 | 2019/4/28 1:20,99.3
 443 | 2019/4/28 1:31,99.2
 444 | 2019/4/28 1:40,99.21
 445 | 2019/4/28 1:50,99.26
 446 | 2019/4/28 2:00,99.24
 447 | 2019/4/28 2:10,99.32
 448 | 2019/4/28 2:20,99.37
 449 | 2019/4/28 2:31,99.21
 450 | 2019/4/28 2:40,99.38
 451 | 2019/4/28 2:50,99.21
 452 | 2019/4/28 3:00,99.27
 453 | 2019/4/28 3:10,99.04
 454 | 2019/4/28 3:30,99.33
 455 | 2019/4/28 3:41,99.26
 456 | 2019/4/28 3:50,99.35
 457 | 2019/4/28 4:00,99.29
 458 | 2019/4/28 4:11,99.33
 459 | 2019/4/28 4:21,99.3
 460 | 2019/4/28 4:30,99.32
 461 | 2019/4/28 4:41,99.26
 462 | 2019/4/28 4:50,99.34
 463 | 2019/4/28 5:00,99.24
 464 | 2019/4/28 5:10,99.41
 465 | 2019/4/28 5:20,99.3
 466 | 2019/4/28 5:30,99.33
 467 | 2019/4/28 5:40,99.3
 468 | 2019/4/28 5:51,99.38
 469 | 2019/4/28 6:00,99.24
 470 | 2019/4/28 6:11,99.15
 471 | 2019/4/28 6:20,99.35
 472 | 2019/4/28 6:30,99.35
 473 | 2019/4/28 6:40,99.33
 474 | 2019/4/28 6:50,99.27
 475 | 2019/4/28 7:01,99.36
 476 | 2019/4/28 7:11,99.27
 477 | 2019/4/28 7:21,99.23
 478 | 2019/4/28 7:30,99.27
 479 | 2019/4/28 7:40,99.27
 480 | 2019/4/28 7:50,99.41
 481 | 2019/4/28 8:00,99.3
 482 | 2019/4/28 8:10,99.35
 483 | 2019/4/28 8:21,99.35
 484 | 2019/4/28 8:30,99.33
 485 | 2019/4/28 8:40,99.2
 486 | 2019/4/28 8:51,99.38
 487 | 2019/4/28 9:01,99.34
 488 | 2019/4/28 9:10,99.27
 489 | 2019/4/28 9:20,99.3
 490 | 2019/4/28 9:30,99.24
 491 | 2019/4/28 9:40,99.29
 492 | 2019/4/28 9:50,99.38
 493 | 2019/4/28 10:01,99.2
 494 | 2019/4/28 10:10,99.23
 495 | 2019/4/28 10:20,99.16
 496 | 2019/4/28 10:30,99.27
 497 | 2019/4/28 10:41,99.29
 498 | 2019/4/28 10:51,99.3
 499 | 2019/4/28 11:00,96.87
 500 | 2019/4/28 11:10,99.19
 501 | 2019/4/28 11:20,99.38
 502 | 2019/4/28 11:30,99.26
 503 | 2019/4/28 11:40,99.23
 504 | 2019/4/28 11:51,99.35
 505 | 2019/4/28 12:00,99.29
 506 | 2019/4/28 12:11,99.37
 507 | 2019/4/28 12:20,99.32
 508 | 2019/4/28 12:30,99.27
 509 | 2019/4/28 12:40,99.44
 510 | 2019/4/28 12:50,99.33
 511 | 2019/4/28 13:01,99.26
 512 | 2019/4/28 13:10,99.33
 513 | 2019/4/28 13:21,99.32
 514 | 2019/4/28 13:31,99.27
 515 | 2019/4/28 13:40,99.3
 516 | 2019/4/28 13:50,99.37
 517 | 2019/4/28 14:00,99.27
 518 | 2019/4/28 14:10,99.3
 519 | 2019/4/28 14:20,99.26
 520 | 2019/4/28 14:31,99.27
 521 | 2019/4/28 14:41,99.27
 522 | 2019/4/28 14:50,99.37
 523 | 2019/4/28 15:01,99.35
 524 | 2019/4/28 15:10,99.15
 525 | 2019/4/28 15:20,99.38
 526 | 2019/4/28 15:30,99.27
 527 | 2019/4/28 15:41,99.3
 528 | 2019/4/28 15:50,99.2
 529 | 2019/4/28 16:00,99.3
 530 | 2019/4/28 16:10,99.23
 531 | 2019/4/28 16:20,99.29
 532 | 2019/4/28 16:30,99.29
 533 | 2019/4/28 16:40,99.35
 534 | 2019/4/28 16:50,99.46
 535 | 2019/4/28 17:01,99.15
 536 | 2019/4/28 17:10,99.35
 537 | 2019/4/28 17:20,99.29
 538 | 2019/4/28 17:30,99.4
 539 | 2019/4/28 17:40,99.2
 540 | 2019/4/28 17:50,99.47
 541 | 2019/4/28 18:00,99.12
 542 | 2019/4/28 18:10,99.33
 543 | 2019/4/28 18:20,99.24
 544 | 2019/4/28 18:30,99.18
 545 | 2019/4/28 18:40,99.3
 546 | 2019/4/28 18:50,99.44
 547 | 2019/4/28 19:00,99.3
 548 | 2019/4/28 19:10,99.26
 549 | 2019/4/28 19:21,99.35
 550 | 2019/4/28 19:30,99.26
 551 | 2019/4/28 19:40,99.23
 552 | 2019/4/28 19:51,99.4
 553 | 2019/4/28 20:00,99.33
 554 | 2019/4/28 20:10,99.26
 555 | 2019/4/28 20:20,99.26
 556 | 2019/4/28 20:30,99.29
 557 | 2019/4/28 20:40,99.24
 558 | 2019/4/28 20:50,99.32
 559 | 2019/4/28 21:00,99.32
 560 | 2019/4/28 21:10,99.3
 561 | 2019/4/28 21:20,99.26
 562 | 2019/4/28 21:30,99.33
 563 | 2019/4/28 21:40,99.29
 564 | 2019/4/28 21:50,99.23
 565 | 2019/4/28 22:00,99.26
 566 | 2019/4/28 22:10,99.29
 567 | 2019/4/28 22:20,99.27
 568 | 2019/4/28 22:30,99.37
 569 | 2019/4/28 22:40,99.23
 570 | 2019/4/28 22:50,99.24
 571 | 2019/4/28 23:00,99.3
 572 | 2019/4/28 23:11,99.32
 573 | 2019/4/28 23:20,99.27
 574 | 2019/4/28 23:30,99.33
 575 | 2019/4/28 23:40,99.32
 576 | 2019/4/28 23:50,99.16
 577 | 2019/4/29 0:00,99.33
 578 | 2019/4/29 0:10,99.33
 579 | 2019/4/29 0:21,99.3
 580 | 2019/4/29 0:30,99.27
 581 | 2019/4/29 0:40,99.29
 582 | 2019/4/29 0:50,99.27
 583 | 2019/4/29 1:01,99.32
 584 | 2019/4/29 1:10,99.33
 585 | 2019/4/29 1:20,99.18
 586 | 2019/4/29 1:30,99.21
 587 | 2019/4/29 1:41,99.16
 588 | 2019/4/29 1:50,99.41
 589 | 2019/4/29 2:00,99.26
 590 | 2019/4/29 2:10,99.29
 591 | 2019/4/29 2:20,99.32
 592 | 2019/4/29 2:31,99.27
 593 | 2019/4/29 2:40,99.23
 594 | 2019/4/29 2:51,99.32
 595 | 2019/4/29 3:00,99.29
 596 | 2019/4/29 3:10,99.29
 597 | 2019/4/29 3:20,99.27
 598 | 2019/4/29 3:30,99.24
 599 | 2019/4/29 3:40,99.24
 600 | 2019/4/29 3:50,99.26
 601 | 2019/4/29 4:00,99.41
 602 | 2019/4/29 4:11,99.24
 603 | 2019/4/29 4:20,99.32
 604 | 2019/4/29 4:30,99.2
 605 | 2019/4/29 4:40,99.32
 606 | 2019/4/29 4:51,99.29
 607 | 2019/4/29 5:00,99.4
 608 | 2019/4/29 5:10,99.3
 609 | 2019/4/29 5:20,99.37
 610 | 2019/4/29 5:30,99.27
 611 | 2019/4/29 5:40,99.4
 612 | 2019/4/29 5:50,99.29
 613 | 2019/4/29 6:00,99.4
 614 | 2019/4/29 6:10,99.19
 615 | 2019/4/29 6:21,99.29
 616 | 2019/4/29 6:30,99.29
 617 | 2019/4/29 6:41,99.23
 618 | 2019/4/29 6:50,99.32
 619 | 2019/4/29 7:00,99.38
 620 | 2019/4/29 7:10,99.29
 621 | 2019/4/29 7:20,99.38
 622 | 2019/4/29 7:30,99.24
 623 | 2019/4/29 7:41,99.27
 624 | 2019/4/29 7:51,99.38
 625 | 2019/4/29 8:01,99.33
 626 | 2019/4/29 8:10,99.24
 627 | 2019/4/29 8:20,99.27
 628 | 2019/4/29 8:30,99.18
 629 | 2019/4/29 8:40,99.33
 630 | 2019/4/29 8:50,99.26
 631 | 2019/4/29 9:00,99.37
 632 | 2019/4/29 9:10,99.37
 633 | 2019/4/29 9:31,99.32
 634 | 2019/4/29 9:40,99.29
 635 | 2019/4/29 9:50,99.37
 636 | 2019/4/29 10:01,99.37
 637 | 2019/4/29 10:11,99.43
 638 | 2019/4/29 10:21,99.35
 639 | 2019/4/29 10:30,99.46
 640 | 2019/4/29 10:41,99.32
 641 | 2019/4/29 10:50,99.34
 642 | 2019/4/29 11:00,99.38
 643 | 2019/4/29 11:10,99.24
 644 | 2019/4/29 11:20,99.23
 645 | 2019/4/29 11:32,99.32
 646 | 2019/4/29 11:40,99.04
 647 | 2019/4/29 11:52,99.3
 648 | 2019/4/29 11:56,99.26
 649 | 2019/4/29 12:00,99.32
 650 | 2019/4/29 12:05,99.26
 651 | 2019/4/29 12:11,99.29
 652 | 2019/4/29 12:15,99.26
 653 | 2019/4/29 12:20,99.27
 654 | 2019/4/29 12:25,99.38
 655 | 2019/4/29 12:30,99.38
 656 | 2019/4/29 12:35,99.27
 657 | 2019/4/29 12:40,99.35
 658 | 2019/4/29 12:50,99.27
 659 | 2019/4/29 13:00,99.3
 660 | 2019/4/29 13:11,99.27
 661 | 2019/4/29 13:20,99.29
 662 | 2019/4/29 13:30,99.3
 663 | 2019/4/29 13:40,99.44
 664 | 2019/4/29 13:50,99.3
 665 | 2019/4/29 14:00,99.19
 666 | 2019/4/29 14:11,99.27
 667 | 2019/4/29 14:21,99.21
 668 | 2019/4/29 14:32,99.24
 669 | 2019/4/29 14:42,99.27
 670 | 2019/4/29 14:50,99.24
 671 | 2019/4/29 15:00,99.27
 672 | 2019/4/29 16:00,99.23
 673 | 2019/4/29 16:12,99.2
 674 | 2019/4/29 16:24,99.3
 675 | 2019/4/29 16:40,99.27
 676 | 2019/4/29 17:01,99.32
 677 | 2019/4/29 17:23,99.24
 678 | 2019/4/30 2:00,99.38
 679 | 2019/4/30 2:20,99.33
 680 | 2019/4/30 2:43,99.44
 681 | 2019/4/30 3:00,99.3
 682 | 2019/4/30 3:24,99.32
 683 | 2019/4/30 3:44,99.38
 684 | 2019/4/30 4:00,99.32
 685 | 2019/4/30 4:24,99.23
 686 | 2019/4/30 4:53,99.3
 687 | 2019/4/30 5:07,99.46
 688 | 2019/4/30 5:36,99.32
 689 | 2019/4/30 5:47,99.4
 690 | 2019/4/30 6:04,99.27
 691 | 2019/4/30 6:34,99.23
 692 | 2019/4/30 6:54,99.33
 693 | 2019/4/30 7:12,99.38
 694 | 2019/4/30 7:21,99.35
 695 | 2019/4/30 7:54,99.33
 696 | 2019/4/30 8:00,99.29
 697 | 2019/4/30 8:34,99.38
 698 | 2019/4/30 8:55,99.44
 699 | 2019/4/30 9:12,99.16
 700 | 2019/4/30 9:27,99.27
 701 | 2019/4/30 9:40,99.33
 702 | 2019/4/30 10:15,99.29
 703 | 2019/4/30 10:26,99.4
 704 | 2019/4/30 10:43,99.37
 705 | 2019/4/30 10:50,99.32
 706 | 2019/4/30 10:57,99.24
 707 | 2019/4/30 11:12,99.21
 708 | 2019/4/30 11:18,99.27
 709 | 2019/4/30 11:55,99.37
 710 | 2019/4/30 11:55,99.43
 711 | 2019/4/30 12:29,99.24
 712 | 2019/4/30 12:10,99.21
 713 | 2019/4/30 12:29,99.34
 714 | 2019/4/30 12:45,99.21
 715 | 2019/4/30 12:37,99.32
 716 | 2019/4/30 12:49,99.27
 717 | 2019/4/30 13:00,99.18
 718 | 2019/4/30 13:07,99.4
 719 | 2019/4/30 13:18,99.33
 720 | 2019/4/30 13:26,99.26
 721 | 2019/4/30 13:44,99.2
 722 | 2019/4/30 13:53,99.32
 723 | 2019/4/30 14:32,99.29
 724 | 2019/4/30 16:40,99.3
 725 | 2019/4/30 16:57,99.29
 726 | 2019/4/30 17:05,99.24
 727 | 2019/4/30 17:31,99.32
 728 | 2019/4/30 17:26,99.33
 729 | 2019/4/30 17:41,99.3
 730 | 2019/4/30 17:56,99.38
 731 | 2019/4/30 18:04,99.37
 732 | 2019/4/30 18:12,99.21
 733 | 2019/4/30 18:21,99.29
 734 | 2019/4/30 18:40,99.37
 735 | 2019/4/30 18:52,99.3
 736 | 2019/4/30 18:58,99.23
 737 | 2019/4/30 19:09,99.23
 738 | 2019/4/30 19:22,99.23
 739 | 2019/4/30 19:36,99.15
 740 | 2019/4/30 20:04,99.3
 741 | 2019/4/30 20:07,99.35
 742 | 2019/4/30 20:27,99.18
 743 | 2019/4/30 20:29,99.3
 744 | 2019/4/30 20:44,99.38
 745 | 2019/4/30 20:53,99.38
 746 | 2019/4/30 21:06,99.24
 747 | 2019/4/30 21:12,99.4
 748 | 2019/4/30 21:24,99.24
 749 | 2019/4/30 21:35,99.27
 750 | 2019/4/30 21:43,99.38
 751 | 2019/4/30 22:01,99.47
 752 | 2019/4/30 22:12,99.23
 753 | 2019/4/30 22:41,99.18
 754 | 2019/4/30 22:43,99.33
 755 | 2019/4/30 22:53,99.35
 756 | 2019/4/30 23:08,99.4
 757 | 2019/4/30 23:14,99.32
 758 | 2019/4/30 23:35,99.33
 759 | 2019/4/30 23:40,99.43
 760 | 2019/4/30 23:58,99.27
 761 | 2019/5/1 0:02,99.41
 762 | 2019/5/1 0:10,99.26
 763 | 2019/5/1 0:31,99.43
 764 | 2019/5/1 0:38,99.26
 765 | 2019/5/5 10:00,99.27
 766 | 2019/5/5 10:10,99.23
 767 | 2019/5/5 10:30,99.35
 768 | 2019/5/5 10:46,99.26
 769 | 2019/5/5 10:45,99.29
 770 | 2019/5/5 10:54,99.3
 771 | 2019/5/5 11:27,99.3
 772 | 2019/5/5 11:22,99.24
 773 | 2019/5/5 11:32,99.2
 774 | 2019/5/5 11:54,99.34
 775 | 2019/5/5 12:07,99.3
 776 | 2019/5/5 12:07,99.32
 777 | 2019/5/5 12:24,99.29
 778 | 2019/5/5 12:22,99.21
 779 | 2019/5/5 12:23,99.3
 780 | 2019/5/5 12:30,99.24
 781 | 2019/5/5 12:40,99.3
 782 | 2019/5/5 12:50,99.23
 783 | 2019/5/5 13:00,99.27
 784 | 2019/5/5 13:11,99.37
 785 | 2019/5/5 13:20,99.29
 786 | 2019/5/5 13:40,99.33
 787 | 2019/5/5 13:51,99.3
 788 | 2019/5/5 14:01,99.33
 789 | 2019/5/5 14:10,99.2
 790 | 2019/5/5 14:20,99.43
 791 | 2019/5/5 14:30,99.32
 792 | 2019/5/5 14:40,99.33
 793 | 2019/5/5 14:50,99.33
 794 | 2019/5/5 15:00,99.37
 795 | 2019/5/5 15:10,99.29
 796 | 2019/5/5 15:30,99.29
 797 | 2019/5/5 21:15,99.32
 798 | 2019/5/5 21:30,99.24
 799 | 2019/5/5 21:35,99.27
 800 | 2019/5/5 21:41,99.35
 801 | 2019/5/5 21:45,99.43
 802 | 2019/5/5 21:51,99.37
 803 | 2019/5/5 21:56,99.27
 804 | 2019/5/5 22:00,99.29
 805 | 2019/5/5 22:05,99.35
 806 | 2019/5/5 22:15,99.24
 807 | 2019/5/5 22:25,99.35
 808 | 2019/5/5 22:31,99.24
 809 | 2019/5/5 22:35,99.3
 810 | 2019/5/5 22:40,99.27
 811 | 2019/5/5 22:45,99.29
 812 | 2019/5/5 22:50,99.27
 813 | 2019/5/5 22:55,99.3
 814 | 2019/5/5 23:00,99.43
 815 | 2019/5/5 23:05,99.3
 816 | 2019/5/5 23:15,99.37
 817 | 2019/5/5 23:20,99.3
 818 | 2019/5/5 23:26,99.44
 819 | 2019/5/5 23:30,99.3
 820 | 2019/5/5 23:40,99.19
 821 | 2019/5/5 23:45,99.26
 822 | 2019/5/5 23:51,99.23
 823 | 2019/5/5 23:55,99.21
 824 | 2019/5/6 0:00,99.33
 825 | 2019/5/6 0:05,99.4
 826 | 2019/5/6 0:10,99.15
 827 | 2019/5/6 0:16,99.46
 828 | 2019/5/6 0:20,99.31
 829 | 2019/5/6 0:25,99.27
 830 | 2019/5/6 0:36,99.36
 831 | 2019/5/6 0:40,99.33
 832 | 2019/5/6 0:46,99.29
 833 | 2019/5/6 0:50,99.38
 834 | 2019/5/6 1:00,99.35
 835 | 2019/5/6 1:05,99.32
 836 | 2019/5/6 1:10,99.32
 837 | 2019/5/6 1:16,99.26
 838 | 2019/5/6 1:25,99.29
 839 | 2019/5/6 1:31,99.32
 840 | 2019/5/6 1:35,99.26
 841 | 2019/5/6 1:40,99.32
 842 | 2019/5/6 1:46,99.41
 843 | 2019/5/6 1:55,99.35
 844 | 2019/5/6 2:00,99.3
 845 | 2019/5/6 2:06,99.35
 846 | 2019/5/6 2:15,99.38
 847 | 2019/5/6 2:25,99.44
 848 | 2019/5/6 2:30,99.33
 849 | 2019/5/6 2:36,99.27
 850 | 2019/5/6 2:41,99.27
 851 | 2019/5/6 2:45,99.46
 852 | 2019/5/6 2:51,99.32
 853 | 2019/5/6 2:55,99.29
 854 | 2019/5/6 3:00,99.23
 855 | 2019/5/6 3:10,99.27
 856 | 2019/5/6 3:16,99.33
 857 | 2019/5/6 3:20,99.35
 858 | 2019/5/6 3:26,99.27
 859 | 2019/5/6 3:30,99.33
 860 | 2019/5/6 3:35,99.33
 861 | 2019/5/6 3:45,99.3
 862 | 2019/5/6 3:55,99.23
 863 | 2019/5/6 4:00,99.24
 864 | 2019/5/6 4:06,99.41
 865 | 2019/5/6 4:11,99.3
 866 | 2019/5/6 4:15,99.33
 867 | 2019/5/6 4:20,99.33
 868 | 2019/5/6 4:25,99.37
 869 | 2019/5/6 4:30,99.38
 870 | 2019/5/6 4:36,99.32
 871 | 2019/5/6 4:40,99.35
 872 | 2019/5/6 4:45,99.38
 873 | 2019/5/6 4:50,99.3
 874 | 2019/5/6 4:55,99.27
 875 | 2019/5/6 5:00,99.35
 876 | 2019/5/6 5:05,99.29
 877 | 2019/5/6 5:11,99.37
 878 | 2019/5/6 5:15,99.35
 879 | 2019/5/6 5:20,99.35
 880 | 2019/5/6 5:25,99.3
 881 | 2019/5/6 5:30,99.29
 882 | 2019/5/6 5:41,99.37
 883 | 2019/5/6 5:45,99.32
 884 | 2019/5/6 5:50,99.29
 885 | 2019/5/6 5:55,99.3
 886 | 2019/5/6 6:00,99.43
 887 | 2019/5/6 6:05,99.3
 888 | 2019/5/6 6:10,99.37
 889 | 2019/5/6 6:20,99.23
 890 | 2019/5/6 6:25,99.3
 891 | 2019/5/6 6:30,99.32
 892 | 2019/5/6 6:35,99.3
 893 | 2019/5/6 6:41,99.35
 894 | 2019/5/6 6:51,99.41
 895 | 2019/5/6 6:56,99.29
 896 | 2019/5/6 7:00,99.26
 897 | 2019/5/6 7:05,99.35
 898 | 2019/5/6 7:11,99.32
 899 | 2019/5/6 7:21,99.43
 900 | 2019/5/6 7:25,99.32
 901 | 2019/5/6 7:30,99.3
 902 | 2019/5/6 7:36,99.35
 903 | 2019/5/6 7:40,99.38
 904 | 2019/5/6 7:51,99.29
 905 | 2019/5/6 7:55,99.35
 906 | 2019/5/6 8:05,99.26
 907 | 2019/5/6 8:11,99.55
 908 | 2019/5/6 8:15,99.41
 909 | 2019/5/6 8:20,99.33
 910 | 2019/5/6 8:26,99.29
 911 | 2019/5/6 8:30,99.3
 912 | 2019/5/6 8:35,99.2
 913 | 2019/5/6 8:41,99.38
 914 | 2019/5/6 8:45,99.4
 915 | 2019/5/6 8:50,99.35
 916 | 2019/5/6 8:55,99.26
 917 | 2019/5/6 9:00,99.33
 918 | 2019/5/6 9:06,99.24
 919 | 2019/5/6 9:10,99.29
 920 | 2019/5/6 9:15,99.29
 921 | 2019/5/6 9:25,99.37
 922 | 2019/5/6 9:30,99.32
 923 | 2019/5/6 9:36,99.3
 924 | 2019/5/6 9:46,99.3
 925 | 2019/5/6 9:50,99.37
 926 | 2019/5/6 9:55,99.32
 927 | 2019/5/6 10:00,99.29
 928 | 2019/5/6 10:06,99.29
 929 | 2019/5/6 11:15,99.27
 930 | 2019/5/6 11:30,99.37
 931 | 2019/5/6 11:45,99.35
 932 | 2019/5/6 11:55,99.12
 933 | 2019/5/6 12:00,99.27
 934 | 2019/5/6 12:05,99.27
 935 | 2019/5/6 12:10,99.29
 936 | 2019/5/6 12:15,99.24
 937 | 2019/5/6 12:20,99.29
 938 | 2019/5/6 12:25,99.35
 939 | 2019/5/6 12:35,99.26
 940 | 2019/5/6 12:40,99.35
 941 | 2019/5/6 12:45,99.41
 942 | 2019/5/6 12:55,99.26
 943 | 2019/5/6 13:00,99.19
 944 | 2019/5/6 13:10,99.29
 945 | 2019/5/6 13:15,99.4
 946 | 2019/5/6 13:20,99.32
 947 | 2019/5/6 13:25,99.26
 948 | 2019/5/6 13:40,99.33
 949 | 2019/5/6 13:45,99.32
 950 | 2019/5/6 13:51,99.29
 951 | 2019/5/6 13:55,99.26
 952 | 2019/5/6 14:10,99.32
 953 | 2019/5/6 14:20,99.4
 954 | 2019/5/6 14:25,99.32
 955 | 2019/5/6 14:40,99.33
 956 | 2019/5/6 14:45,99.33
 957 | 2019/5/6 14:50,99.27
 958 | 2019/5/6 15:00,99.44
 959 | 2019/5/6 15:05,99.36
 960 | 2019/5/6 15:10,99.32
 961 | 2019/5/6 15:15,99.3
 962 | 2019/5/6 15:20,99.35
 963 | 2019/5/6 15:25,99.29
 964 | 2019/5/6 15:30,99.27
 965 | 2019/5/6 15:46,99.26
 966 | 2019/5/6 15:50,99.32
 967 | 2019/5/6 15:55,99.4
 968 | 2019/5/6 16:00,99.32
 969 | 2019/5/6 16:06,99.13
 970 | 2019/5/6 16:10,99.37
 971 | 2019/5/6 16:15,99.21
 972 | 2019/5/6 16:20,99.26
 973 | 2019/5/6 16:25,99.41
 974 | 2019/5/6 16:31,99.27
 975 | 2019/5/6 16:36,99.33
 976 | 2019/5/6 16:41,99.33
 977 | 2019/5/6 16:45,99.35
 978 | 2019/5/6 16:50,99.32
 979 | 2019/5/6 16:56,99.5
 980 | 2019/5/6 17:06,99.35
 981 | 2019/5/6 21:56,99.35
 982 | 2019/5/6 22:00,99.32
 983 | 2019/5/6 22:05,99.38
 984 | 2019/5/6 22:10,99.2
 985 | 2019/5/6 22:17,99.3
 986 | 2019/5/6 22:20,99.3
 987 | 2019/5/6 22:25,99.29
 988 | 2019/5/6 22:31,99.43
 989 | 2019/5/6 22:36,99.32
 990 | 2019/5/6 22:42,99.35
 991 | 2019/5/6 22:46,99.4
 992 | 2019/5/6 22:50,99.29
 993 | 2019/5/6 22:57,99.37
 994 | 2019/5/6 23:00,99.33
 995 | 2019/5/6 23:15,99.26
 996 | 2019/5/6 23:21,99.26
 997 | 2019/5/6 23:25,99.41
 998 | 2019/5/6 23:31,99.3
 999 | 2019/5/6 23:36,99.23
1000 | 2019/5/6 23:41,99.37
1001 | 2019/5/6 23:45,99.33
1002 | 2019/5/6 23:51,99.41
1003 | 2019/5/6 23:55,99.4
1004 | 2019/5/7 0:00,99.32
1005 | 2019/5/7 0:07,99.33
1006 | 2019/5/7 0:11,99.29
1007 | 2019/5/7 0:16,99.49
1008 | 2019/5/7 0:21,99.38
1009 | 2019/5/7 0:27,99.27
1010 | 2019/5/7 0:30,99.19
1011 | 2019/5/7 0:37,99.29
1012 | 2019/5/7 0:40,99.23
1013 | 2019/5/7 0:45,99.27
1014 | 2019/5/7 0:50,99.33
1015 | 2019/5/7 0:56,99.35
1016 | 2019/5/7 1:01,99.44
1017 | 2019/5/7 1:05,99.3
1018 | 2019/5/7 1:10,99.3
1019 | 2019/5/7 1:15,99.33
1020 | 2019/5/7 1:20,99.32
1021 | 2019/5/7 1:25,99.38
1022 | 2019/5/7 1:31,99.27
1023 | 2019/5/7 1:35,99.3
1024 | 2019/5/7 1:41,99.24
1025 | 2019/5/7 1:46,99.29
1026 | 2019/5/7 1:52,99.29
1027 | 2019/5/7 1:56,99.21
1028 | 2019/5/7 2:01,99.29
1029 | 2019/5/7 2:07,99.24
1030 | 2019/5/7 2:11,99.3
1031 | 2019/5/7 2:17,99.35
1032 | 2019/5/7 2:22,99.29
1033 | 2019/5/7 2:26,99.35
1034 | 2019/5/7 2:31,99.27
1035 | 2019/5/7 2:35,99.27
1036 | 2019/5/7 2:40,99.32
1037 | 2019/5/7 2:45,99.26
1038 | 2019/5/7 2:50,99.35
1039 | 2019/5/7 2:56,99.33
1040 | 2019/5/7 3:00,99.3
1041 | 2019/5/7 3:06,99.46
1042 | 2019/5/7 3:10,99.38
1043 | 2019/5/7 3:15,99.41
1044 | 2019/5/7 3:21,99.3
1045 | 2019/5/7 3:25,99.3
1046 | 2019/5/7 3:30,99.35
1047 | 2019/5/7 3:36,99.29
1048 | 2019/5/7 3:41,99.29
1049 | 2019/5/7 3:45,99.27
1050 | 2019/5/7 3:50,99.35
1051 | 2019/5/7 3:56,99.33
1052 | 2019/5/7 4:00,99.32
1053 | 2019/5/7 4:06,99.41
1054 | 2019/5/7 4:10,99.38
1055 | 2019/5/7 4:15,99.37
1056 | 2019/5/7 4:20,99.29
1057 | 2019/5/7 4:25,99.29
1058 | 2019/5/7 4:31,99.41
1059 | 2019/5/7 4:36,99.21
1060 | 2019/5/7 4:40,99.41
1061 | 2019/5/7 4:45,99.3
1062 | 2019/5/7 4:50,99.27
1063 | 2019/5/7 4:56,99.29
1064 | 2019/5/7 5:00,99.24
1065 | 2019/5/7 5:05,99.36
1066 | 2019/5/7 5:10,99.35
1067 | 2019/5/7 5:16,99.3
1068 | 2019/5/7 5:21,99.32
1069 | 2019/5/7 5:25,99.4
1070 | 2019/5/7 5:31,99.27
1071 | 2019/5/7 5:36,99.24
1072 | 2019/5/7 5:40,99.33
1073 | 2019/5/7 5:45,99.29
1074 | 2019/5/7 5:50,99.35
1075 | 2019/5/7 5:56,99.38
1076 | 2019/5/7 6:01,99.29
1077 | 2019/5/7 6:06,99.29
1078 | 2019/5/7 6:11,99.49
1079 | 2019/5/7 6:15,99.35
1080 | 2019/5/7 6:20,99.46
1081 | 2019/5/7 6:25,99.26
1082 | 2019/5/7 6:30,99.37
1083 | 2019/5/7 6:35,99.35
1084 | 2019/5/7 6:41,99.29
1085 | 2019/5/7 6:47,99.38
1086 | 2019/5/7 6:50,99.38
1087 | 2019/5/7 6:57,99.32
1088 | 2019/5/7 7:02,99.23
1089 | 2019/5/7 7:05,99.33
1090 | 2019/5/7 7:11,99.24
1091 | 2019/5/7 7:15,99.21
1092 | 2019/5/7 7:20,99.27
1093 | 2019/5/7 7:26,99.38
1094 | 2019/5/7 7:31,99.34
1095 | 2019/5/7 7:37,99.3
1096 | 2019/5/7 7:42,99.3
1097 | 2019/5/7 7:46,99.5
1098 | 2019/5/7 7:51,99.32
1099 | 2019/5/7 7:57,99.29
1100 | 2019/5/7 8:00,99.43
1101 | 2019/5/7 8:05,99.3
1102 | 2019/5/7 8:10,99.27
1103 | 2019/5/7 8:16,99.32
1104 | 2019/5/7 8:20,99.35
1105 | 2019/5/7 8:25,99.32
1106 | 2019/5/7 8:30,99.44
1107 | 2019/5/7 8:35,99.19
1108 | 2019/5/7 8:40,99.33
1109 | 2019/5/7 8:45,99.26
1110 | 2019/5/7 8:51,99.32
1111 | 2019/5/7 8:57,99.29
1112 | 2019/5/7 9:01,99.38
1113 | 2019/5/7 9:06,99.35
1114 | 2019/5/7 9:10,99.36
1115 | 2019/5/7 9:17,99.33
1116 | 2019/5/7 9:20,99.32
1117 | 2019/5/7 9:25,99.27
1118 | 2019/5/7 9:30,99.29
1119 | 2019/5/7 9:36,99.3
1120 | 2019/5/7 9:42,99.37
1121 | 2019/5/7 9:45,99.27
1122 | 2019/5/7 9:51,99.43
1123 | 2019/5/7 9:55,99.34
1124 | 2019/5/7 10:00,99.29
1125 | 2019/5/7 10:05,99.5
1126 | 2019/5/7 10:10,99.35
1127 | 2019/5/7 10:15,99.35
1128 | 2019/5/7 10:20,99.4
1129 | 2019/5/7 10:27,99.33
1130 | 2019/5/7 10:30,99.35
1131 | 2019/5/7 10:37,99.38
1132 | 2019/5/7 10:41,99.29
1133 | 2019/5/7 10:47,99.37
1134 | 2019/5/7 10:50,99.26
1135 | 2019/5/7 10:55,99.37
1136 | 2019/5/7 11:02,99.32
1137 | 2019/5/7 11:07,99.33
1138 | 2019/5/7 11:10,99.3
1139 | 2019/5/7 11:15,99.38
1140 | 2019/5/7 11:20,99.27
1141 | 2019/5/7 11:25,99.35
1142 | 2019/5/7 11:32,99.38
1143 | 2019/5/7 11:37,99.27
1144 | 2019/5/7 11:40,99.26
1145 | 2019/5/7 11:47,99.43
1146 | 2019/5/7 11:51,99.2
1147 | 2019/5/7 11:55,99.23
1148 | 2019/5/7 12:00,99.34
1149 | 2019/5/7 12:05,99.4
1150 | 2019/5/7 12:10,99.29
1151 | 2019/5/7 12:16,99.29
1152 | 2019/5/7 12:22,99.29
1153 | 2019/5/7 12:27,99.46
1154 | 2019/5/7 12:31,99.41
1155 | 2019/5/7 12:35,99.26
1156 | 2019/5/7 12:40,99.44
1157 | 2019/5/7 12:46,99.37
1158 | 2019/5/7 12:51,99.32
1159 | 2019/5/7 12:57,99.2
1160 | 2019/5/7 13:00,99.26
1161 | 2019/5/7 13:05,99.38
1162 | 2019/5/7 13:11,99.24
1163 | 2019/5/7 13:15,99.21
1164 | 2019/5/7 13:20,99.3
1165 | 2019/5/7 13:25,99.3
1166 | 2019/5/7 13:32,99.33
1167 | 2019/5/7 13:37,99.27
1168 | 2019/5/7 13:40,99.35
1169 | 2019/5/7 13:45,99.3
1170 | 2019/5/7 13:50,99.27
1171 | 2019/5/7 13:57,99.37
1172 | 2019/5/7 14:00,99.29
1173 | 2019/5/7 14:07,99.3
1174 | 2019/5/7 14:11,99.3
1175 | 2019/5/7 14:15,99.37
1176 | 2019/5/7 14:20,99.37
1177 | 2019/5/7 14:26,99.37
1178 | 2019/5/7 14:31,99.24
1179 | 2019/5/7 14:35,99.4
1180 | 2019/5/7 14:40,99.34
1181 | 2019/5/7 14:46,99.32
1182 | 2019/5/7 14:51,99.36
1183 | 2019/5/7 14:55,99.29
1184 | 2019/5/7 15:00,99.26
1185 | 2019/5/7 15:05,99.43
1186 | 2019/5/7 15:10,99.38
1187 | 2019/5/7 15:16,99.29
1188 | 2019/5/7 15:20,99.35
1189 | 2019/5/7 15:26,99.26
1190 | 2019/5/7 15:30,99.21
1191 | 2019/5/7 15:35,99.26
1192 | 2019/5/7 15:41,99.3
1193 | 2019/5/7 15:45,99.35
1194 | 2019/5/7 15:50,99.27
1195 | 2019/5/7 15:55,99.37
1196 | 2019/5/7 16:00,99.19
1197 | 2019/5/7 16:05,99.26
1198 | 2019/5/7 16:10,99.37
1199 | 2019/5/7 16:16,99.2
1200 | 2019/5/7 16:21,99.29
1201 | 2019/5/7 16:25,99.27
1202 | 2019/5/7 16:31,99.21
1203 | 2019/5/7 16:35,99.35
1204 | 2019/5/7 16:40,99.37
1205 | 2019/5/7 16:47,99.24
1206 | 2019/5/7 16:51,99.43
1207 | 2019/5/7 16:57,99.32
1208 | 2019/5/7 17:01,99.16
1209 | 2019/5/7 17:05,99.32
1210 | 2019/5/7 17:10,99.41
1211 | 2019/5/7 17:16,99.32
1212 | 2019/5/7 17:20,99.38
1213 | 2019/5/7 17:25,99.3
1214 | 2019/5/7 17:30,99.26
1215 | 2019/5/7 17:35,99.3
1216 | 2019/5/7 17:41,99.3
1217 | 2019/5/7 17:46,99.34
1218 | 2019/5/7 17:50,99.27
1219 | 2019/5/7 17:56,99.24
1220 | 2019/5/7 18:00,99.32
1221 | 2019/5/7 18:06,99.27
1222 | 2019/5/7 18:11,99.37
1223 | 2019/5/7 18:15,99.37
1224 | 2019/5/7 18:20,99.26
1225 | 2019/5/7 18:26,99.33
1226 | 2019/5/7 18:31,99.32
1227 | 2019/5/7 18:35,99.26
1228 | 2019/5/7 18:42,99.38
1229 | 2019/5/7 18:46,99.32
1230 | 2019/5/7 18:51,99.24
1231 | 2019/5/7 18:55,99.3
1232 | 2019/5/7 19:00,99.43
1233 | 2019/5/7 19:05,99.37
1234 | 2019/5/7 19:11,99.4
1235 | 2019/5/7 19:15,99.35
1236 | 2019/5/7 19:21,99.49
1237 | 2019/5/7 19:27,99.35
1238 | 2019/5/7 19:31,99.37
1239 | 2019/5/7 19:35,99.29
1240 | 2019/5/7 19:40,99.29
1241 | 2019/5/7 19:46,99.35
1242 | 2019/5/7 19:51,99.24
1243 | 2019/5/7 19:55,99.38
1244 | 2019/5/7 20:00,99.2
1245 | 2019/5/7 20:05,99.33
1246 | 2019/5/7 20:10,99.29
1247 | 2019/5/7 20:15,99.26
1248 | 2019/5/7 20:20,99.3
1249 | 2019/5/7 20:25,99.41
1250 | 2019/5/7 20:31,99.26
1251 | 2019/5/7 20:35,99.43
1252 | 2019/5/7 20:41,99.24
1253 | 2019/5/7 20:45,99.37
1254 | 2019/5/7 20:51,99.32
1255 | 2019/5/7 20:55,99.34
1256 | 2019/5/7 21:01,99.32
1257 | 2019/5/7 21:05,99.27
1258 | 2019/5/7 21:10,99.32
1259 | 2019/5/7 21:15,99.15
1260 | 2019/5/7 21:20,99.23
1261 | 2019/5/7 21:25,99.36
1262 | 2019/5/7 21:31,99.3
1263 | 2019/5/7 21:37,99.09
1264 | 2019/5/7 21:40,99.41
1265 | 2019/5/7 21:46,99.27
1266 | 2019/5/7 21:50,99.32
1267 | 2019/5/7 21:57,99.27
1268 | 2019/5/7 22:01,99.27
1269 | 2019/5/7 22:06,99.3
1270 | 2019/5/7 22:11,99.46
1271 | 2019/5/7 22:16,99.4
1272 | 2019/5/7 22:20,99.29
1273 | 2019/5/7 22:26,99.26
1274 | 2019/5/7 22:32,99.21
1275 | 2019/5/7 22:36,99.32
1276 | 2019/5/7 22:40,99.3
1277 | 2019/5/7 22:45,99.29
1278 | 2019/5/7 22:51,99.37
1279 | 2019/5/7 22:57,99.32
1280 | 2019/5/7 23:00,99.29
1281 | 2019/5/7 23:05,99.32
1282 | 2019/5/7 23:11,99.29
1283 | 2019/5/7 23:15,99.26
1284 | 2019/5/7 23:20,99.26
1285 | 2019/5/7 23:27,99.37
1286 | 2019/5/7 23:30,99.35
1287 | 2019/5/7 23:37,99.24
1288 | 2019/5/7 23:41,99.32
1289 | 2019/5/7 23:45,99.21
1290 | 2019/5/7 23:52,99.33
1291 | 2019/5/7 23:55,99.24
1292 | 2019/5/8 0:00,99.27
1293 | 2019/5/8 0:07,99.3
1294 | 2019/5/8 0:12,99.24
1295 | 2019/5/8 0:15,99.32
1296 | 2019/5/8 0:20,99.43
1297 | 2019/5/8 0:25,99.23
1298 | 2019/5/8 0:30,99.24
1299 | 2019/5/8 0:36,99.29
1300 | 2019/5/8 0:41,99.38
1301 | 2019/5/8 0:45,99.32
1302 | 2019/5/8 0:50,99.4
1303 | 2019/5/8 0:55,99.24
1304 | 2019/5/8 1:01,99.41
1305 | 2019/5/8 1:07,99.37
1306 | 2019/5/8 1:11,99.32
1307 | 2019/5/8 1:15,99.21
1308 | 2019/5/8 1:22,99.4
1309 | 2019/5/8 1:25,99.3
1310 | 2019/5/8 1:30,99.33
1311 | 2019/5/8 1:35,99.38
1312 | 2019/5/8 1:41,99.23
1313 | 2019/5/8 1:45,99.41
1314 | 2019/5/8 1:50,99.37
1315 | 2019/5/8 1:56,99.21
1316 | 2019/5/8 2:00,99.24
1317 | 2019/5/8 2:05,99.44
1318 | 2019/5/8 2:12,99.46
1319 | 2019/5/8 2:17,99.46
1320 | 2019/5/8 2:20,99.29
1321 | 2019/5/8 2:27,99.26
1322 | 2019/5/8 2:30,99.4
1323 | 2019/5/8 2:36,99.32
1324 | 2019/5/8 2:41,99.18
1325 | 2019/5/8 2:45,99.32
1326 | 2019/5/8 2:50,99.27
1327 | 2019/5/8 2:56,99.27
1328 | 2019/5/8 3:01,99.37
1329 | 2019/5/8 3:05,99.29
1330 | 2019/5/8 3:10,99.35
1331 | 2019/5/8 3:15,99.1
1332 | 2019/5/8 3:20,99.3
1333 | 2019/5/8 3:26,99.29
1334 | 2019/5/8 3:30,99.18
1335 | 2019/5/8 3:35,99.3
1336 | 2019/5/8 3:40,99.32
1337 | 2019/5/8 3:45,99.24
1338 | 2019/5/8 3:50,99.3
1339 | 2019/5/8 3:56,99.23
1340 | 2019/5/8 4:00,99.32
1341 | 2019/5/8 4:06,99.29
1342 | 2019/5/8 4:11,99.3
1343 | 2019/5/8 4:16,99.18
1344 | 2019/5/8 4:21,99.38
1345 | 2019/5/8 4:25,99.32
1346 | 2019/5/8 4:30,99.21
1347 | 2019/5/8 4:36,99.41
1348 | 2019/5/8 4:41,99.26
1349 | 2019/5/8 4:45,99.21
1350 | 2019/5/8 4:51,99.34
1351 | 2019/5/8 4:55,99.35
1352 | 2019/5/8 5:00,99.3
1353 | 2019/5/8 5:05,99.4
1354 | 2019/5/8 5:10,99.33
1355 | 2019/5/8 5:16,99.32
1356 | 2019/5/8 5:21,99.35
1357 | 2019/5/8 5:27,99.26
1358 | 2019/5/8 5:30,99.32
1359 | 2019/5/8 5:35,99.19
1360 | 2019/5/8 5:40,99.38
1361 | 2019/5/8 5:45,99.35
1362 | 2019/5/8 5:52,99.29
1363 | 2019/5/8 5:55,99.21
1364 | 2019/5/8 6:01,99.32
1365 | 2019/5/8 6:07,99.38
1366 | 2019/5/8 6:10,99.29
1367 | 2019/5/8 6:15,99.38
1368 | 2019/5/8 6:22,99.3
1369 | 2019/5/8 6:25,99.27
1370 | 2019/5/8 6:30,99.35
1371 | 2019/5/8 6:36,99.21
1372 | 2019/5/8 6:40,99.27
1373 | 2019/5/8 6:45,99.32
1374 | 2019/5/8 6:50,99.29
1375 | 2019/5/8 6:55,99.24
1376 | 2019/5/8 7:01,99.21
1377 | 2019/5/8 7:05,99.29
1378 | 2019/5/8 7:10,99.29
1379 | 2019/5/8 7:16,99.32
1380 | 2019/5/8 7:20,99.3
1381 | 2019/5/8 7:25,99.24
1382 | 2019/5/8 7:30,99.43
1383 | 2019/5/8 7:37,99.38
1384 | 2019/5/8 7:40,99.33
1385 | 2019/5/8 7:46,99.3
1386 | 2019/5/8 7:50,99.26
1387 | 2019/5/8 7:55,99.15
1388 | 2019/5/8 8:01,99.3
1389 | 2019/5/8 8:05,99.29
1390 | 2019/5/8 8:10,99.43
1391 | 2019/5/8 8:17,99.19
1392 | 2019/5/8 8:20,99.41
1393 | 2019/5/8 8:26,99.26
1394 | 2019/5/8 8:31,99.3
1395 | 2019/5/8 8:35,99.33
1396 | 2019/5/8 8:40,99.27
1397 | 2019/5/8 8:45,99.26
1398 | 2019/5/8 8:50,99.27
1399 | 2019/5/8 8:57,99.27
1400 | 2019/5/8 9:00,99.35
1401 | 2019/5/8 9:06,99.29
1402 | 2019/5/8 9:10,99.32
1403 | 2019/5/8 9:16,99.41
1404 | 2019/5/8 9:21,99.23
1405 | 2019/5/8 9:25,99.3
1406 | 2019/5/8 9:31,99.4
1407 | 2019/5/8 9:36,99.38
1408 | 2019/5/8 9:40,99.23
1409 | 2019/5/8 9:45,99.33
1410 | 2019/5/8 9:50,99.29
1411 | 2019/5/8 9:56,99.29
1412 | 2019/5/8 10:01,99.32
1413 | 2019/5/8 10:07,99.37
1414 | 2019/5/8 10:10,99.38
1415 | 2019/5/8 10:15,99.24
1416 | 2019/5/8 10:20,99.24
1417 | 2019/5/8 10:25,99.33
1418 | 2019/5/8 10:30,99.24
1419 | 2019/5/8 10:37,99.29
1420 | 2019/5/8 10:41,99.23
1421 | 2019/5/8 10:46,99.24
1422 | 2019/5/8 10:50,99.26
1423 | 2019/5/8 10:57,99.27
1424 | 2019/5/8 11:00,99.23
1425 | 2019/5/8 11:06,99.47
1426 | 2019/5/8 11:10,99.37
1427 | 2019/5/8 11:16,99.27
1428 | 2019/5/8 11:22,99.37
1429 | 2019/5/8 11:25,99.43
1430 | 2019/5/8 11:30,99.27
1431 | 2019/5/8 11:36,99.36
1432 | 2019/5/8 11:40,99.32
1433 | 2019/5/8 11:46,99.44
1434 | 2019/5/8 11:50,99.3
1435 | 2019/5/8 11:55,99.38
1436 | 2019/5/8 12:00,99.33
1437 | 2019/5/8 12:05,99.27
1438 | 2019/5/8 12:10,99.3
1439 | 2019/5/8 12:15,99.26
1440 | 2019/5/8 12:22,99.33
1441 | 2019/5/8 12:25,99.32
1442 | 2019/5/8 12:32,99.29
1443 | 2019/5/8 12:37,99.24
1444 | 2019/5/8 12:41,99.32
1445 | 2019/5/8 12:45,99.38
1446 | 2019/5/8 12:50,99.35
1447 | 2019/5/8 12:56,99.27
1448 | 2019/5/8 13:01,99.4
1449 | 2019/5/8 13:06,99.2
1450 | 2019/5/8 13:11,99.21
1451 | 2019/5/8 13:16,99.29
1452 | 2019/5/8 13:20,99.3
1453 | 2019/5/8 13:25,99.29
1454 | 2019/5/8 13:31,99.37
1455 | 2019/5/8 13:37,99.4
1456 | 2019/5/8 13:41,99.33
1457 | 2019/5/8 13:46,99.29
1458 | 2019/5/8 13:51,99.32
1459 | 2019/5/8 13:55,99.29
1460 | 2019/5/8 14:00,99.38
1461 | 2019/5/8 14:07,99.4
1462 | 2019/5/8 14:10,99.24
1463 | 2019/5/8 14:15,99.18
1464 | 2019/5/8 14:20,99.33
1465 | 2019/5/8 14:27,99.29
1466 | 2019/5/8 14:32,99.36
1467 | 2019/5/8 14:37,99.44
1468 | 2019/5/8 14:42,99.32
1469 | 2019/5/8 14:45,99.33
1470 | 2019/5/8 14:50,99.15
1471 | 2019/5/8 14:56,99.29
1472 | 2019/5/8 15:01,99.26
1473 | 2019/5/8 15:05,99.41
1474 | 2019/5/8 15:11,99.23
1475 | 2019/5/8 15:15,99.32
1476 | 2019/5/8 15:21,99.29
1477 | 2019/5/8 15:26,99.37
1478 | 2019/5/8 15:30,99.41
1479 | 2019/5/8 15:36,99.33
1480 | 2019/5/8 15:40,99.38
1481 | 2019/5/8 15:45,99.23
1482 | 2019/5/8 15:50,99.37
1483 | 2019/5/8 15:55,99.24
1484 | 2019/5/8 16:00,99.27
1485 | 2019/5/8 16:05,99.29
1486 | 2019/5/8 16:11,99.27
1487 | 2019/5/8 16:16,99.32
1488 | 2019/5/8 16:20,99.36
1489 | 2019/5/8 16:25,99.24
1490 | 2019/5/8 16:30,99.3
1491 | 2019/5/8 16:36,99.33
1492 | 2019/5/8 16:40,99.35
1493 | 2019/5/8 16:45,99.29
1494 | 2019/5/8 16:50,99.29
1495 | 2019/5/8 16:56,99.35
1496 | 2019/5/8 17:00,99.32
1497 | 2019/5/8 17:06,99.3
1498 | 2019/5/8 17:10,99.35
1499 | 2019/5/8 17:15,99.33
1500 | 2019/5/8 17:21,99.24
1501 | 2019/5/8 17:25,99.35
1502 | 2019/5/8 17:31,99.24
1503 | 2019/5/8 17:36,99.37
1504 | 2019/5/8 17:40,99.27
1505 | 2019/5/8 17:45,99.18
1506 | 2019/5/8 17:51,99.32
1507 | 2019/5/8 17:55,99.13
1508 | 2019/5/8 18:00,99.24
1509 | 2019/5/8 18:06,99.35
1510 | 2019/5/8 18:11,99.18
1511 | 2019/5/8 18:16,99.24
1512 | 2019/5/8 18:20,99.29
1513 | 2019/5/8 18:26,99.3
1514 | 2019/5/8 18:31,99.38
1515 | 2019/5/8 18:35,99.38
1516 | 2019/5/8 18:41,99.15
1517 | 2019/5/8 18:46,99.06
1518 | 2019/5/8 18:51,99.37
1519 | 2019/5/8 18:56,99.37
1520 | 2019/5/8 19:01,99.4
1521 | 2019/5/8 19:05,99.27
1522 | 2019/5/8 19:11,99.29
1523 | 2019/5/8 19:16,99.27
1524 | 2019/5/8 19:20,99.37
1525 | 2019/5/8 19:26,99.33
1526 | 2019/5/8 19:30,99.35
1527 | 2019/5/8 19:36,99.32
1528 | 2019/5/8 19:41,99.27
1529 | 2019/5/8 19:46,99.27
1530 | 2019/5/8 19:50,99.19
1531 | 2019/5/8 19:55,99.24
1532 | 2019/5/8 20:00,99.29
1533 | 2019/5/8 20:05,99.2
1534 | 2019/5/8 20:11,99.34
1535 | 2019/5/8 20:15,99.44
1536 | 2019/5/8 20:20,99.3
1537 | 2019/5/8 20:26,99.3
1538 | 2019/5/8 20:30,99.3
1539 | 2019/5/8 20:35,99.23
1540 | 2019/5/8 20:40,99.35
1541 | 2019/5/8 20:45,99.35
1542 | 2019/5/8 20:51,99.2
1543 | 2019/5/8 20:56,99.33
1544 | 2019/5/8 21:00,99.26
1545 | 2019/5/8 21:05,99.27
1546 | 2019/5/8 21:10,99.33
1547 | 2019/5/8 21:16,99.29
1548 | 2019/5/8 21:20,99.24
1549 | 2019/5/8 21:26,99.3
1550 | 2019/5/8 21:30,99.38
1551 | 2019/5/8 21:36,99.47
1552 | 2019/5/8 21:40,99.35
1553 | 2019/5/8 21:45,99.21
1554 | 2019/5/8 21:51,99.3
1555 | 2019/5/8 21:55,99.29
1556 | 2019/5/8 22:01,99.4
1557 | 2019/5/8 22:06,99.32
1558 | 2019/5/8 22:11,99.4
1559 | 2019/5/8 22:15,99.24
1560 | 2019/5/8 22:21,99.27
1561 | 2019/5/8 22:25,99.35
1562 | 2019/5/8 22:31,99.24
1563 | 2019/5/8 22:36,99.21
1564 | 2019/5/8 22:40,99.32
1565 | 2019/5/8 22:46,99.32
1566 | 2019/5/8 22:50,99.32
1567 | 2019/5/8 22:55,99.34
1568 | 2019/5/8 23:00,99.38
1569 | 2019/5/8 23:06,99.23
1570 | 2019/5/8 23:11,99.3
1571 | 2019/5/8 23:15,99.19
1572 | 2019/5/8 23:20,99.26
1573 | 2019/5/8 23:26,99.35
1574 | 2019/5/8 23:31,99.32
1575 | 2019/5/8 23:35,99.4
1576 | 2019/5/8 23:41,99.35
1577 | 2019/5/8 23:46,99.33
1578 | 2019/5/8 23:50,99.29
1579 | 2019/5/8 23:55,99.37
1580 | 2019/5/9 0:06,99.26
1581 | 2019/5/9 0:10,99.24
1582 | 2019/5/9 0:16,99.24
1583 | 2019/5/9 0:21,99.3
1584 | 2019/5/9 0:26,99.37
1585 | 2019/5/9 0:31,99.4
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1587 | 2019/5/9 0:40,99.26
1588 | 2019/5/9 0:46,99.35
1589 | 2019/5/9 0:50,99.29
1590 | 2019/5/9 0:55,99.3
1591 | 2019/5/9 1:01,99.27
1592 | 2019/5/9 1:06,99.32
1593 | 2019/5/9 1:10,99.3
1594 | 2019/5/9 1:16,99.29
1595 | 2019/5/9 1:20,99.33
1596 | 2019/5/9 1:25,99.29
1597 | 2019/5/9 1:31,99.23
1598 | 2019/5/9 1:36,99.27
1599 | 2019/5/9 1:40,99.38
1600 | 2019/5/9 1:45,99.3
1601 | 2019/5/9 1:50,99.29
1602 | 2019/5/9 1:55,99.35
1603 | 2019/5/9 2:01,99.3
1604 | 2019/5/9 2:05,99.29
1605 | 2019/5/9 2:10,99.41
1606 | 2019/5/9 2:15,99.38
1607 | 2019/5/9 2:20,99.41
1608 | 2019/5/9 2:25,99.44
1609 | 2019/5/9 2:30,99.23
1610 | 2019/5/9 2:35,99.44
1611 | 2019/5/9 2:40,99.29
1612 | 2019/5/9 2:45,99.27
1613 | 2019/5/9 2:50,99.23
1614 | 2019/5/9 2:56,99.26
1615 | 2019/5/9 3:01,99.36
1616 | 2019/5/9 3:05,99.27
1617 | 2019/5/9 3:11,99.29
1618 | 2019/5/9 3:16,99.27
1619 | 2019/5/9 3:21,99.37
1620 | 2019/5/9 3:26,99.26
1621 | 2019/5/9 3:31,99.29
1622 | 2019/5/9 3:36,99.27
1623 | 2019/5/9 3:40,99.26
1624 | 2019/5/9 3:46,99.21
1625 | 2019/5/9 3:51,99.35
1626 | 2019/5/9 3:56,99.44
1627 | 2019/5/9 4:01,99.41
1628 | 2019/5/9 4:05,99.44
1629 | 2019/5/9 4:10,99.29
1630 | 2019/5/9 4:16,99.29
1631 | 2019/5/9 4:21,99.33
1632 | 2019/5/9 4:25,99.24
1633 | 2019/5/9 4:30,99.27
1634 | 2019/5/9 4:36,99.26
1635 | 2019/5/9 4:40,99.38
1636 | 2019/5/9 4:45,99.3
1637 | 2019/5/9 4:51,99.26
1638 | 2019/5/9 4:56,99.49
1639 | 2019/5/9 5:00,99.35
1640 | 2019/5/9 5:06,99.33
1641 | 2019/5/9 5:11,99.4
1642 | 2019/5/9 5:16,99.29
1643 | 2019/5/9 5:21,99.37
1644 | 2019/5/9 5:25,99.27
1645 | 2019/5/9 5:30,99.23
1646 | 2019/5/9 5:35,99.3
1647 | 2019/5/9 5:41,99.29
1648 | 2019/5/9 5:46,99.35
1649 | 2019/5/9 5:51,99.21
1650 | 2019/5/9 5:55,99.29
1651 | 2019/5/9 6:01,99.32
1652 | 2019/5/9 6:05,99.35
1653 | 2019/5/9 6:11,99.33
1654 | 2019/5/9 6:15,99.4
1655 | 2019/5/9 6:20,99.3
1656 | 2019/5/9 6:26,99.27
1657 | 2019/5/9 6:31,99.3
1658 | 2019/5/9 6:36,99.35
1659 | 2019/5/9 6:41,99.24
1660 | 2019/5/9 6:46,99.27
1661 | 2019/5/9 6:51,99.44
1662 | 2019/5/9 6:56,99.2
1663 | 2019/5/9 7:01,99.37
1664 | 2019/5/9 7:06,99.23
1665 | 2019/5/9 7:10,99.26
1666 | 2019/5/9 7:15,99.37
1667 | 2019/5/9 7:20,99.35
1668 | 2019/5/9 7:25,99.33
1669 | 2019/5/9 7:30,99.3
1670 | 2019/5/9 7:35,99.33
1671 | 2019/5/9 7:40,99.4
1672 | 2019/5/9 7:45,99.4
1673 | 2019/5/9 7:51,99.27
1674 | 2019/5/9 7:55,99.26
1675 | 2019/5/9 8:01,99.4
1676 | 2019/5/9 8:06,99.34
1677 | 2019/5/9 8:11,99.23
1678 | 2019/5/9 8:16,99.16
1679 | 2019/5/9 8:21,99.26
1680 | 2019/5/9 8:26,99.27
1681 | 2019/5/9 8:31,99.27
1682 | 2019/5/9 8:35,99.4
1683 | 2019/5/9 8:40,99.33
1684 | 2019/5/9 8:45,99.33
1685 | 2019/5/9 8:50,99.21
1686 | 2019/5/9 8:56,99.43
1687 | 2019/5/9 9:01,99.26
1688 | 2019/5/9 9:05,99.34
1689 | 2019/5/9 9:10,99.29
1690 | 2019/5/9 9:16,99.15
1691 | 2019/5/9 9:20,99.26
1692 | 2019/5/9 9:25,99.38
1693 | 2019/5/9 9:30,99.38
1694 | 2019/5/9 9:36,99.27
1695 | 2019/5/9 9:41,99.44
1696 | 2019/5/9 9:45,99.37
1697 | 2019/5/9 9:50,99.35
1698 | 2019/5/9 9:56,99.29
1699 | 2019/5/9 10:01,99.3
1700 | 2019/5/9 10:06,99.37
1701 | 2019/5/9 10:10,99.37
1702 | 2019/5/9 10:16,99.33
1703 | 2019/5/9 10:21,99.35
1704 | 2019/5/9 10:26,99.24
1705 | 2019/5/9 10:30,99.26
1706 | 2019/5/9 10:35,99.33
1707 | 2019/5/9 10:45,99.3
1708 | 2019/5/9 10:50,99.37
1709 | 2019/5/9 10:55,99.23
1710 | 2019/5/9 11:00,99.4
1711 | 2019/5/9 11:05,99.41
1712 | 2019/5/9 11:10,99.35
1713 | 2019/5/9 11:15,99.24
1714 | 2019/5/9 11:20,99.35
1715 | 2019/5/9 11:25,99.35
1716 | 2019/5/9 11:30,99.32
1717 | 2019/5/9 11:35,99.3
1718 | 2019/5/9 11:40,99.55
1719 | 2019/5/9 11:45,99.32
1720 | 2019/5/9 11:50,99.32
1721 | 2019/5/9 11:55,99.3
1722 | 2019/5/9 12:00,99.38
1723 | 2019/5/9 12:05,99.29
1724 | 2019/5/9 12:10,99.29
1725 | 2019/5/9 12:15,99.33
1726 | 2019/5/9 12:20,99.33
1727 | 2019/5/9 12:25,99.38
1728 | 2019/5/9 12:30,99.26
1729 | 2019/5/9 12:35,99.29
1730 | 2019/5/9 12:40,99.23
1731 | 2019/5/9 12:45,99.33
1732 | 2019/5/9 12:50,99.38
1733 | 2019/5/9 12:55,99.21
1734 | 2019/5/9 13:00,99.35
1735 | 2019/5/9 13:05,99.19
1736 | 2019/5/9 13:10,99.37
1737 | 2019/5/9 13:15,99.38
1738 | 2019/5/9 13:20,99.38
1739 | 2019/5/9 13:25,99.33
1740 | 2019/5/9 13:30,99.37
1741 | 2019/5/9 13:35,99.24
1742 | 2019/5/9 13:40,99.35
1743 | 2019/5/9 13:45,99.3
1744 | 2019/5/9 13:50,99.29
1745 | 2019/5/9 13:55,99.26
1746 | 2019/5/9 14:00,99.3
1747 | 2019/5/9 14:05,99.29
1748 | 2019/5/9 14:10,99.26
1749 | 2019/5/9 14:15,99.37
1750 | 2019/5/9 14:20,99.41
1751 | 2019/5/9 14:25,99.33
1752 | 2019/5/9 14:30,99.27
1753 | 2019/5/9 14:35,99.23
1754 | 2019/5/9 14:40,99.24
1755 | 2019/5/9 14:45,99.41
1756 | 2019/5/9 14:50,99.38
1757 | 2019/5/9 14:55,99.29
1758 | 2019/5/9 15:00,99.27
1759 | 2019/5/9 15:05,99.18
1760 | 2019/5/9 15:10,99.24
1761 | 2019/5/9 15:15,99.19
1762 | 2019/5/9 15:20,99.35
1763 | 2019/5/9 15:25,99.23
1764 | 2019/5/9 15:30,99.24
1765 | 2019/5/9 15:35,99.1
1766 | 2019/5/9 15:40,99.07
1767 | 2019/5/9 15:45,99.2
1768 | 2019/5/9 15:50,99.23
1769 | 2019/5/9 15:55,99.32
1770 | 2019/5/9 16:00,99.24
1771 | 2019/5/9 16:05,99.32
1772 | 2019/5/9 16:10,99.35
1773 | 2019/5/9 16:15,99.23
1774 | 2019/5/9 16:20,99.27
1775 | 2019/5/9 16:25,99.33
1776 | 2019/5/9 16:30,99.44
1777 | 2019/5/9 16:35,99.23
1778 | 2019/5/9 16:40,99.26
1779 | 2019/5/9 16:45,99.3
1780 | 2019/5/9 16:50,99.3
1781 | 2019/5/9 16:55,99.3
1782 | 2019/5/9 17:00,99.38
1783 | 2019/5/9 17:05,99.38
1784 | 2019/5/9 17:10,99.29
1785 | 2019/5/9 17:15,99.27
1786 | 2019/5/9 17:20,99.24
1787 | 2019/5/9 17:25,99.26
1788 | 2019/5/9 17:30,99.35
1789 | 2019/5/9 17:35,99.35
1790 | 2019/5/9 17:40,99.24
1791 | 2019/5/9 17:45,99.32
1792 | 2019/5/9 17:50,99.38
1793 | 2019/5/9 17:55,99.23
1794 | 2019/5/9 18:00,99.26
1795 | 2019/5/9 18:05,99.21
1796 | 2019/5/9 18:10,99.35
1797 | 2019/5/9 18:15,99.29
1798 | 2019/5/9 18:20,99.27
1799 | 2019/5/9 18:25,99.27
1800 | 2019/5/9 18:30,99.26
1801 | 2019/5/9 18:35,99.33
1802 | 2019/5/9 18:40,99.35
1803 | 2019/5/9 18:45,99.26
1804 | 2019/5/9 18:50,99.23
1805 | 2019/5/9 18:55,99.41
1806 | 2019/5/9 19:00,99.29
1807 | 2019/5/9 19:05,99.33
1808 | 2019/5/9 19:10,99.3
1809 | 2019/5/9 19:15,99.23
1810 | 2019/5/9 19:20,99.37
1811 | 2019/5/9 19:25,99.35
1812 | 2019/5/9 19:30,99.37
1813 | 2019/5/9 19:35,99.27
1814 | 2019/5/9 19:40,99.4
1815 | 2019/5/9 19:45,99.19
1816 | 2019/5/9 19:50,99.26
1817 | 2019/5/9 19:55,99.27
1818 | 2019/5/9 20:00,99.33
1819 | 2019/5/9 20:05,99.41
1820 | 2019/5/9 20:10,99.35
1821 | 2019/5/9 20:15,99.32
1822 | 2019/5/9 20:20,99.27
1823 | 2019/5/9 20:25,99.26
1824 | 2019/5/9 20:30,99.29
1825 | 2019/5/9 20:35,99.4
1826 | 2019/5/9 20:40,99.2
1827 | 2019/5/9 20:45,99.3
1828 | 2019/5/9 20:50,99.23
1829 | 2019/5/9 20:55,99.27
1830 | 2019/5/9 21:00,99.4
1831 | 2019/5/9 21:05,99.3
1832 | 2019/5/9 21:10,99.3
1833 | 2019/5/9 21:15,99.46
1834 | 2019/5/9 21:20,99.3
1835 | 2019/5/9 21:25,99.3
1836 | 2019/5/9 21:30,99.35
1837 | 2019/5/9 21:35,99.3
1838 | 2019/5/9 21:40,99.3
1839 | 2019/5/9 21:45,99.3
1840 | 2019/5/9 21:50,99.3
1841 | 2019/5/9 21:55,99.24
1842 | 2019/5/9 22:00,99.32
1843 | 2019/5/9 22:05,99.32
1844 | 2019/5/9 22:10,99.4
1845 | 2019/5/9 22:15,99.3
1846 | 2019/5/9 22:20,99.34
1847 | 2019/5/9 22:25,99.35
1848 | 2019/5/9 22:30,99.35
1849 | 2019/5/9 22:35,99.27
1850 | 2019/5/9 22:40,99.24
1851 | 2019/5/9 22:45,99.37
1852 | 2019/5/9 22:50,99.04
1853 | 2019/5/9 22:55,99.21
1854 | 2019/5/9 23:00,99.37
1855 | 2019/5/9 23:05,99.32
1856 | 2019/5/9 23:10,99.33
1857 | 2019/5/9 23:15,99.43
1858 | 2019/5/9 23:20,99.24
1859 | 2019/5/9 23:25,99.27
1860 | 2019/5/9 23:30,99.24
1861 | 2019/5/9 23:35,99.23
1862 | 2019/5/9 23:40,99.3
1863 | 2019/5/9 23:45,99.32
1864 | 2019/5/9 23:50,99.35
1865 | 2019/5/9 23:55,99.36
1866 | 2019/5/10 0:05,99.24
1867 | 2019/5/10 0:10,99.33
1868 | 2019/5/10 0:15,99.38
1869 | 2019/5/10 0:20,99.44
1870 | 2019/5/10 0:25,99.29
1871 | 2019/5/10 0:30,99.26
1872 | 2019/5/10 0:35,99.32
1873 | 2019/5/10 0:40,99.26
1874 | 2019/5/10 0:45,99.36
1875 | 2019/5/10 0:50,99.29
1876 | 2019/5/10 0:55,99.26
1877 | 2019/5/10 1:00,99.26
1878 | 2019/5/10 1:05,99.32
1879 | 2019/5/10 1:10,99.32
1880 | 2019/5/10 1:15,99.32
1881 | 2019/5/10 1:20,99.32
1882 | 2019/5/10 1:25,99.18
1883 | 2019/5/10 1:30,99.2
1884 | 2019/5/10 1:35,99.27
1885 | 2019/5/10 1:40,99.41
1886 | 2019/5/10 1:45,99.24
1887 | 2019/5/10 1:50,99.35
1888 | 2019/5/10 1:55,99.37
1889 | 2019/5/10 2:00,99.29
1890 | 2019/5/10 2:05,99.32
1891 | 2019/5/10 2:10,99.4
1892 | 2019/5/10 2:15,99.26
1893 | 2019/5/10 2:20,99.33
1894 | 2019/5/10 2:25,99.24
1895 | 2019/5/10 2:30,99.24
1896 | 2019/5/10 2:35,99.33
1897 | 2019/5/10 2:40,99.35
1898 | 2019/5/10 2:45,99.26
1899 | 2019/5/10 2:50,99.33
1900 | 2019/5/10 2:55,99.38
1901 | 2019/5/10 3:00,99.24
1902 | 2019/5/10 3:05,99.27
1903 | 2019/5/10 3:10,99.3
1904 | 2019/5/10 3:15,99.29
1905 | 2019/5/10 3:20,99.33
1906 | 2019/5/10 3:25,99.34
1907 | 2019/5/10 3:30,99.3
1908 | 2019/5/10 3:35,99.43
1909 | 2019/5/10 3:40,99.35
1910 | 2019/5/10 3:45,99.27
1911 | 2019/5/10 3:50,99.23
1912 | 2019/5/10 3:55,99.3
1913 | 2019/5/10 4:00,99.26
1914 | 2019/5/10 4:05,99.37
1915 | 2019/5/10 4:10,99.38
1916 | 2019/5/10 4:15,99.27
1917 | 2019/5/10 4:20,99.38
1918 | 2019/5/10 4:25,99.21
1919 | 2019/5/10 4:30,99.26
1920 | 2019/5/10 4:35,99.32
1921 | 2019/5/10 4:40,99.32
1922 | 2019/5/10 4:45,99.26
1923 | 2019/5/10 4:50,99.32
1924 | 2019/5/10 4:55,99.21
1925 | 2019/5/10 5:00,99.37
1926 | 2019/5/10 5:05,99.3
1927 | 2019/5/10 5:10,99.43
1928 | 2019/5/10 5:15,99.23
1929 | 2019/5/10 5:20,99.27
1930 | 2019/5/10 5:25,99.33
1931 | 2019/5/10 5:30,99.3
1932 | 2019/5/10 5:35,99.38
1933 | 2019/5/10 5:40,99.27
1934 | 2019/5/10 5:45,99.27
1935 | 2019/5/10 5:50,97.34
1936 | 2019/5/10 5:55,99.26
1937 | 2019/5/10 6:00,99.3
1938 | 2019/5/10 6:05,99.24
1939 | 2019/5/10 6:10,99.35
1940 | 2019/5/10 6:15,99.23
1941 | 2019/5/10 6:20,99.3
1942 | 2019/5/10 6:25,99.27
1943 | 2019/5/10 6:30,99.33
1944 | 2019/5/10 6:35,99.26
1945 | 2019/5/10 6:40,99.38
1946 | 2019/5/10 6:45,99.3
1947 | 2019/5/10 6:50,99.33
1948 | 2019/5/10 6:55,99.27
1949 | 2019/5/10 7:00,99.18
1950 | 2019/5/10 7:05,99.27
1951 | 2019/5/10 7:10,99.27
1952 | 2019/5/10 7:15,99.37
1953 | 2019/5/10 7:20,99.32
1954 | 2019/5/10 7:25,99.38
1955 | 2019/5/10 7:30,99.41
1956 | 2019/5/10 7:35,99.33
1957 | 2019/5/10 7:40,99.33
1958 | 2019/5/10 7:45,99.21
1959 | 2019/5/10 7:50,99.3
1960 | 2019/5/10 7:55,99.35
1961 | 2019/5/10 8:00,99.27
1962 | 2019/5/10 8:05,99.47
1963 | 2019/5/10 8:10,99.35
1964 | 2019/5/10 8:15,99.23
1965 | 2019/5/10 8:20,99.33
1966 | 2019/5/10 8:25,99.27
1967 | 2019/5/10 8:30,99.27
1968 | 2019/5/10 8:35,99.27
1969 | 2019/5/10 8:40,99.21
1970 | 2019/5/10 8:45,99.27
1971 | 2019/5/10 8:50,99.29
1972 | 2019/5/10 8:55,99.38
1973 | 2019/5/10 9:00,99.24
1974 | 2019/5/10 9:05,99.32
1975 | 2019/5/10 9:10,99.23
1976 | 2019/5/10 9:15,99.27
1977 | 2019/5/10 9:20,99.26
1978 | 2019/5/10 9:25,99.29
1979 | 2019/5/10 9:30,99.26
1980 | 2019/5/10 9:35,99.4
1981 | 2019/5/10 9:40,99.3
1982 | 2019/5/10 9:45,99.27
1983 | 2019/5/10 9:50,99.32
1984 | 2019/5/10 9:55,99.43
1985 | 2019/5/10 10:00,99.19
1986 | 2019/5/10 10:05,99.26
1987 | 2019/5/10 10:10,99.4
1988 | 2019/5/10 10:15,99.37
1989 | 2019/5/10 10:20,99.29
1990 | 2019/5/10 10:25,99.32
1991 | 2019/5/10 10:30,99.26
1992 | 2019/5/10 10:35,99.3
1993 | 2019/5/10 10:40,99.32
1994 | 2019/5/10 10:45,99.37
1995 | 2019/5/10 10:50,99.38
1996 | 2019/5/10 10:55,99.35
1997 | 2019/5/10 11:00,99.26
1998 | 2019/5/10 11:05,99.24
1999 | 2019/5/10 11:10,99.27
2000 | 2019/5/10 11:15,99.29
2001 | 2019/5/10 11:20,99.3
2002 | 2019/5/10 11:25,99.3
2003 | 2019/5/10 11:30,99.26
2004 | 2019/5/10 11:35,99.24
2005 | 2019/5/10 11:40,99.21
2006 | 2019/5/10 11:45,99.33
2007 | 2019/5/10 11:50,99.35
2008 | 2019/5/10 11:55,99.32
2009 | 2019/5/10 12:00,99.33
2010 | 2019/5/10 12:05,99.37
2011 | 2019/5/10 12:10,99.32
2012 | 2019/5/10 12:15,99.29
2013 | 2019/5/10 12:20,99.21
2014 | 2019/5/10 12:25,99.43
2015 | 2019/5/10 12:30,99.37
2016 | 2019/5/10 12:35,99.33
2017 | 2019/5/10 12:40,99.32
2018 | 2019/5/10 12:45,99.26
2019 | 2019/5/10 12:50,99.4
2020 | 2019/5/10 12:55,99.35
2021 | 2019/5/10 13:00,99.41
2022 | 2019/5/10 13:05,99.46
2023 | 2019/5/10 13:10,99.23
2024 | 2019/5/10 13:15,99.2
2025 | 2019/5/10 13:20,99.21
2026 | 2019/5/10 13:25,99.27
2027 | 2019/5/10 13:30,99.3
2028 | 2019/5/10 13:35,99.27
2029 | 2019/5/10 13:40,99.46
2030 | 2019/5/10 13:45,99.26
2031 | 2019/5/10 13:50,99.24
2032 | 2019/5/10 13:55,99.29
2033 | 2019/5/10 14:00,99.32
2034 | 2019/5/10 14:05,99.43
2035 | 2019/5/10 14:10,99.33
2036 | 2019/5/10 14:15,99.3
2037 | 2019/5/10 14:20,99.4
2038 | 2019/5/10 14:25,99.3
2039 | 2019/5/10 14:30,99.35
2040 | 2019/5/10 14:35,99.3
2041 | 2019/5/10 14:40,99.32
2042 | 2019/5/10 14:45,99.26
2043 | 2019/5/10 14:50,99.33
2044 | 2019/5/10 14:55,99.36
2045 | 2019/5/10 15:00,99.3
2046 | 2019/5/10 15:05,99.3
2047 | 2019/5/10 15:10,99.26
2048 | 2019/5/10 15:15,99.32
2049 | 2019/5/10 15:20,99.37
2050 | 2019/5/10 15:25,99.27
2051 | 2019/5/10 15:30,99.4
2052 | 2019/5/10 15:35,99.3
2053 | 2019/5/10 15:40,99.35
2054 | 2019/5/10 15:45,99.3
2055 | 2019/5/10 15:50,99.27
2056 | 2019/5/10 15:55,99.3
2057 | 2019/5/10 16:00,99.32
2058 | 2019/5/10 16:05,99.29
2059 | 2019/5/10 16:10,99.29
2060 | 2019/5/10 16:15,99.35
2061 | 2019/5/10 16:20,99.29
2062 | 2019/5/10 16:25,99.26
2063 | 2019/5/10 16:30,99.27
2064 | 2019/5/10 16:35,99.33
2065 | 2019/5/10 16:40,99.23
2066 | 2019/5/10 16:45,99.29
2067 | 2019/5/10 16:50,99.27
2068 | 2019/5/10 16:55,99.41
2069 | 2019/5/10 17:00,99.38
2070 | 2019/5/10 17:05,99.32
2071 | 2019/5/10 17:10,99.38
2072 | 2019/5/10 17:15,99.27
2073 | 2019/5/10 17:20,99.38
2074 | 2019/5/10 17:25,99.26
2075 | 2019/5/10 17:30,99.32
2076 | 2019/5/10 17:35,99.3
2077 | 2019/5/10 17:40,99.3
2078 | 2019/5/10 17:45,99.46
2079 | 2019/5/10 17:50,99.21
2080 | 2019/5/10 17:55,99.27
2081 | 2019/5/10 18:00,99.44
2082 | 2019/5/10 18:05,99.32
2083 | 2019/5/10 18:10,99.27
2084 | 2019/5/10 18:15,99.37
2085 | 2019/5/10 18:20,99.43
2086 | 2019/5/10 18:25,99.32
2087 | 2019/5/10 18:30,99.26
2088 | 2019/5/10 18:35,99.32
2089 | 2019/5/10 18:40,99.35
2090 | 2019/5/10 18:45,99.3
2091 | 2019/5/10 18:50,99.3
2092 | 2019/5/10 18:55,99.29
2093 | 2019/5/10 19:00,99.23
2094 | 2019/5/10 19:05,99.27
2095 | 2019/5/10 19:10,99.27
2096 | 2019/5/10 19:15,99.32
2097 | 2019/5/10 19:20,99.23
2098 | 2019/5/10 19:25,99.24
2099 | 2019/5/10 19:30,99.37
2100 | 2019/5/10 19:35,99.32
2101 | 2019/5/10 19:40,99.4
2102 | 2019/5/10 19:45,99.33
2103 | 2019/5/10 19:50,99.33
2104 | 2019/5/10 19:55,99.37
2105 | 2019/5/10 20:00,99.54
2106 | 2019/5/10 20:05,99.29
2107 | 2019/5/10 20:10,99.4
2108 | 2019/5/10 20:15,99.33
2109 | 2019/5/10 20:20,99.27
2110 | 2019/5/10 20:25,99.32
2111 | 2019/5/10 20:30,99.33
2112 | 2019/5/10 20:35,99.15
2113 | 2019/5/10 20:40,99.19
2114 | 2019/5/10 20:45,99.32
2115 | 2019/5/10 20:50,99.35
2116 | 2019/5/10 20:55,99.33
2117 | 2019/5/10 21:00,99.38
2118 | 2019/5/10 21:05,99.43
2119 | 2019/5/10 21:10,99.27
2120 | 2019/5/10 21:15,99.29
2121 | 2019/5/10 21:20,99.37
2122 | 2019/5/10 21:25,99.23
2123 | 2019/5/10 21:30,99.24
2124 | 2019/5/10 21:35,99.32
2125 | 2019/5/10 21:40,99.34
2126 | 2019/5/10 21:45,99.23
2127 | 2019/5/10 21:50,99.27
2128 | 2019/5/10 21:55,99.37
2129 | 2019/5/10 22:00,99.23
2130 | 2019/5/10 22:05,99.32
2131 | 2019/5/10 22:10,99.36
2132 | 2019/5/10 22:15,99.26
2133 | 2019/5/10 22:20,99.35
2134 | 2019/5/10 22:25,99.46
2135 | 2019/5/10 22:30,99.3
2136 | 2019/5/10 22:35,99.4
2137 | 2019/5/10 22:40,99.27
2138 | 2019/5/10 22:45,99.36
2139 | 2019/5/10 22:50,99.24
2140 | 2019/5/10 22:55,99.32
2141 | 2019/5/10 23:00,99.37
2142 | 2019/5/10 23:05,99.33
2143 | 2019/5/10 23:10,99.4
2144 | 2019/5/10 23:15,99.35
2145 | 2019/5/10 23:20,99.35
2146 | 2019/5/10 23:25,99.32
2147 | 2019/5/10 23:30,99.23
2148 | 2019/5/10 23:35,99.33
2149 | 2019/5/10 23:40,99.29
2150 | 2019/5/10 23:45,99.32
2151 | 2019/5/10 23:50,99.29
2152 | 2019/5/10 23:55,99.38
2153 | 2019/5/11 0:05,99.21
2154 | 2019/5/11 0:10,99.33
2155 | 2019/5/11 0:15,99.26
2156 | 2019/5/11 0:20,99.37
2157 | 2019/5/11 0:25,99.38
2158 | 2019/5/11 0:30,99.27
2159 | 2019/5/11 0:35,99.38
2160 | 2019/5/11 0:40,99.18
2161 | 2019/5/11 0:45,99.38
2162 | 2019/5/11 0:50,99.29
2163 | 2019/5/11 0:55,99.27
2164 | 2019/5/11 1:00,99.26
2165 | 2019/5/11 1:05,99.35
2166 | 2019/5/11 1:10,99.29
2167 | 2019/5/11 1:15,99.27
2168 | 2019/5/11 1:20,99.26
2169 | 2019/5/11 1:25,99.32
2170 | 2019/5/11 1:30,99.46
2171 | 2019/5/11 1:35,99.24
2172 | 2019/5/11 1:40,99.4
2173 | 2019/5/11 1:45,99.37
2174 | 2019/5/11 1:50,99.3
2175 | 2019/5/11 1:55,99.29
2176 | 2019/5/11 2:00,99.27
2177 | 2019/5/11 2:05,99.26
2178 | 2019/5/11 2:10,99.4
2179 | 2019/5/11 2:15,99.35
2180 | 2019/5/11 2:20,99.33
2181 | 2019/5/11 2:25,99.35
2182 | 2019/5/11 2:30,99.38
2183 | 2019/5/11 2:35,99.3
2184 | 2019/5/11 2:40,99.43
2185 | 2019/5/11 2:45,99.33
2186 | 2019/5/11 2:50,99.29
2187 | 2019/5/11 2:55,99.3
2188 | 2019/5/11 3:00,99.27
2189 | 2019/5/11 3:05,99.35
2190 | 2019/5/11 3:10,99.24
2191 | 2019/5/11 3:15,99.3
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2193 | 2019/5/11 3:25,99.27
2194 | 2019/5/11 3:30,99.32
2195 | 2019/5/11 3:35,99.19
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2197 | 2019/5/11 3:45,99.33
2198 | 2019/5/11 3:50,99.26
2199 | 2019/5/11 3:55,99.23
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2202 | 2019/5/11 4:10,99.35
2203 | 2019/5/11 4:15,99.43
2204 | 2019/5/11 4:20,99.23
2205 | 2019/5/11 4:25,99.3
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2207 | 2019/5/11 4:35,99.27
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2209 | 2019/5/11 4:45,99.43
2210 | 2019/5/11 4:50,99.33
2211 | 2019/5/11 4:55,99.29
2212 | 2019/5/11 5:00,99.27
2213 | 2019/5/11 5:05,99.18
2214 | 2019/5/11 5:10,99.35
2215 | 2019/5/11 5:15,99.27
2216 | 2019/5/11 5:20,99.21
2217 | 2019/5/11 5:25,99.26
2218 | 2019/5/11 5:30,99.37
2219 | 2019/5/11 5:35,99.27
2220 | 2019/5/11 5:40,99.21
2221 | 2019/5/11 5:45,99.27
2222 | 2019/5/11 5:50,99.29
2223 | 2019/5/11 5:55,99.29
2224 | 2019/5/11 6:00,99.35
2225 | 2019/5/11 6:05,99.33
2226 | 2019/5/11 6:10,99.4
2227 | 2019/5/11 6:15,99.37
2228 | 2019/5/11 6:20,99.24
2229 | 2019/5/11 6:25,99.33
2230 | 2019/5/11 6:30,99.3
2231 | 2019/5/11 6:35,99.38
2232 | 2019/5/11 6:40,99.37
2233 | 2019/5/11 6:45,99.32
2234 | 2019/5/11 6:50,99.32
2235 | 2019/5/11 6:55,99.44
2236 | 2019/5/11 7:00,99.29
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2239 | 2019/5/11 7:15,99.32
2240 | 2019/5/11 7:20,99.24
2241 | 2019/5/11 7:25,99.32
2242 | 2019/5/11 7:30,99.26
2243 | 2019/5/11 7:35,99.3
2244 | 2019/5/11 7:40,99.33
2245 | 2019/5/11 7:45,99.54
2246 | 2019/5/11 7:50,99.2
2247 | 2019/5/11 7:55,99.35
2248 | 2019/5/11 8:00,99.33
2249 | 2019/5/11 8:05,99.37
2250 | 2019/5/11 8:10,99.33
2251 | 2019/5/11 8:15,99.24
2252 | 2019/5/11 8:20,99.37
2253 | 2019/5/11 8:25,99.37
2254 | 2019/5/11 8:30,99.21
2255 | 2019/5/11 8:35,99.23
2256 | 2019/5/11 8:40,99.26
2257 | 2019/5/11 8:45,99.3
2258 | 2019/5/11 8:50,99.33
2259 | 2019/5/11 8:55,99.27
2260 | 2019/5/11 9:00,99.4
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2262 | 2019/5/11 9:10,99.32
2263 | 2019/5/11 9:15,99.32
2264 | 2019/5/11 9:20,99.26
2265 | 2019/5/11 9:25,99.3
2266 | 2019/5/11 9:30,99.44
2267 | 2019/5/11 9:35,99.3
2268 | 2019/5/11 9:40,99.29
2269 | 2019/5/11 9:45,99.23
2270 | 2019/5/11 9:50,99.41
2271 | 2019/5/11 9:55,99.26
2272 | 2019/5/11 10:00,99.33
2273 | 2019/5/11 10:05,99.43
2274 | 2019/5/11 10:10,99.35
2275 | 2019/5/11 10:15,99.32
2276 | 2019/5/11 10:20,99.44
2277 | 2019/5/11 10:25,99.38
2278 | 2019/5/11 10:30,99.2
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2280 | 2019/5/11 10:40,99.32
2281 | 2019/5/11 10:45,99.29
2282 | 2019/5/11 10:50,99.27
2283 | 2019/5/11 10:55,99.27
2284 | 2019/5/11 11:00,99.12
2285 | 2019/5/11 11:05,99.32
2286 | 2019/5/11 11:10,99.16
2287 | 2019/5/11 11:15,99.19
2288 | 2019/5/11 11:20,99.27
2289 | 2019/5/11 11:25,99.29
2290 | 2019/5/11 11:30,99.43
2291 | 2019/5/11 11:35,99.29
2292 | 2019/5/11 11:40,99.3
2293 | 2019/5/11 11:45,99.41
2294 | 2019/5/11 11:50,99.33
2295 | 2019/5/11 11:55,99.27
2296 | 2019/5/11 12:00,99.4
2297 | 2019/5/11 12:05,99.23
2298 | 2019/5/11 12:10,99.35
2299 | 2019/5/11 12:15,99.29
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2301 | 2019/5/11 12:25,99.29
2302 | 2019/5/11 12:30,99.33
2303 | 2019/5/11 12:35,99.32
2304 | 2019/5/11 12:40,99.32
2305 | 2019/5/11 12:45,99.32
2306 | 2019/5/11 12:50,99.38
2307 | 2019/5/11 12:55,99.21
2308 | 2019/5/11 13:00,99.27
2309 | 2019/5/11 13:05,99.27
2310 | 2019/5/11 13:10,99.24
2311 | 2019/5/11 13:15,99.29
2312 | 2019/5/11 13:20,99.37
2313 | 2019/5/11 13:25,99.29
2314 | 2019/5/11 13:30,99.3
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2316 | 2019/5/11 13:40,99.26
2317 | 2019/5/11 13:45,99.38
2318 | 2019/5/11 13:50,99.16
2319 | 2019/5/11 13:55,99.26
2320 | 2019/5/11 14:00,99.4
2321 | 2019/5/11 14:05,99.16
2322 | 2019/5/11 14:10,99.3
2323 | 2019/5/11 14:15,99.3
2324 | 2019/5/11 14:20,99.32
2325 | 2019/5/11 14:25,99.3
2326 | 2019/5/11 14:30,99.21
2327 | 2019/5/11 14:35,99.3
2328 | 2019/5/11 14:40,99.29
2329 | 2019/5/11 14:45,99.23
2330 | 2019/5/11 14:50,99.41
2331 | 2019/5/11 14:55,99.38
2332 | 2019/5/11 15:00,99.38
2333 | 2019/5/11 15:05,99.32
2334 | 2019/5/11 15:10,99.29
2335 | 2019/5/11 15:15,99.33
2336 | 2019/5/11 15:20,99.21
2337 | 2019/5/11 15:25,99.29
2338 | 2019/5/11 15:30,99.26
2339 | 2019/5/11 15:35,99.4
2340 | 2019/5/11 15:40,99.41
2341 | 2019/5/11 15:45,99.18
2342 | 2019/5/11 15:50,99.27
2343 | 2019/5/11 15:55,99.3
2344 | 2019/5/11 16:00,99.4
2345 | 2019/5/11 16:05,99.3
2346 | 2019/5/11 16:10,99.33
2347 | 2019/5/11 16:15,99.27
2348 | 2019/5/11 16:20,99.49
2349 | 2019/5/11 16:25,99.3
2350 | 2019/5/11 16:30,99.3
2351 | 2019/5/11 16:35,99.27
2352 | 2019/5/11 16:40,99.29
2353 | 2019/5/11 16:45,99.29
2354 | 2019/5/11 16:50,99.26
2355 | 2019/5/11 16:55,99.29
2356 | 2019/5/11 17:00,99.43
2357 | 2019/5/11 17:05,99.4
2358 | 2019/5/11 17:10,99.23
2359 | 2019/5/11 17:15,99.27
2360 | 2019/5/11 17:20,99.4
2361 | 2019/5/11 17:25,99.33
2362 | 2019/5/11 17:30,99.26
2363 | 2019/5/11 17:35,99.37
2364 | 2019/5/11 17:40,99.32
2365 | 2019/5/11 17:45,99.23
2366 | 2019/5/11 17:50,99.33
2367 | 2019/5/11 17:55,99.35
2368 | 2019/5/11 18:00,99.3
2369 | 2019/5/11 18:05,99.29
2370 | 2019/5/11 18:10,99.44
2371 | 2019/5/11 18:15,99.16
2372 | 2019/5/11 18:20,99.1
2373 | 2019/5/11 18:25,99.02
2374 | 2019/5/11 18:30,99.35
2375 | 2019/5/11 18:35,99.18
2376 | 2019/5/11 18:40,99.38
2377 | 2019/5/11 18:45,99.36
2378 | 2019/5/11 18:50,99.37
2379 | 2019/5/11 18:55,99.26
2380 | 2019/5/11 19:00,99.35
2381 | 2019/5/11 19:05,99.23
2382 | 2019/5/11 19:10,99.4
2383 | 2019/5/11 19:15,99.35
2384 | 2019/5/11 19:20,99.3
2385 | 2019/5/11 19:25,99.4
2386 | 2019/5/11 19:30,99.4
2387 | 2019/5/11 19:35,99.37
2388 | 2019/5/11 19:40,99.41
2389 | 2019/5/11 19:45,99.33
2390 | 2019/5/11 19:50,99.23
2391 | 2019/5/11 19:55,99.32
2392 | 2019/5/11 20:00,99.33
2393 | 2019/5/11 20:05,99.26
2394 | 2019/5/11 20:10,97.63
2395 | 2019/5/11 20:15,99.21
2396 | 2019/5/11 20:20,99.27
2397 | 2019/5/11 20:25,99.38
2398 | 2019/5/11 20:30,99.32
2399 | 2019/5/11 20:35,99.35
2400 | 2019/5/11 20:40,99.26
2401 | 2019/5/11 20:45,99.26
2402 | 2019/5/11 20:50,99.21
2403 | 2019/5/11 20:55,99.2
2404 | 2019/5/11 21:00,99.33
2405 | 2019/5/11 21:05,99.19
2406 | 2019/5/11 21:10,99.33
2407 | 2019/5/11 21:15,99.27
2408 | 2019/5/11 21:20,99.29
2409 | 2019/5/11 21:25,99.29
2410 | 2019/5/11 21:30,99.37
2411 | 2019/5/11 21:35,99.33
2412 | 2019/5/11 21:40,99.33
2413 | 2019/5/11 21:45,99.32
2414 | 2019/5/11 21:50,99.37
2415 | 2019/5/11 21:55,99.38
2416 | 2019/5/11 22:00,99.37
2417 | 2019/5/11 22:05,99.35
2418 | 2019/5/11 22:10,99.2
2419 | 2019/5/11 22:15,99.23
2420 | 2019/5/11 22:20,99.27
2421 | 2019/5/11 22:25,99.43
2422 | 2019/5/11 22:30,99.38
2423 | 2019/5/11 22:35,99.29
2424 | 2019/5/11 22:40,99.32
2425 | 2019/5/11 22:45,99.32
2426 | 2019/5/11 22:50,99.21
2427 | 2019/5/11 22:55,99.33
2428 | 2019/5/11 23:00,99.2
2429 | 2019/5/11 23:05,99.32
2430 | 2019/5/11 23:10,99.26
2431 | 2019/5/11 23:15,99.23
2432 | 2019/5/11 23:20,99.24
2433 | 2019/5/11 23:25,99.3
2434 | 2019/5/11 23:30,99.32
2435 | 2019/5/11 23:35,99.38
2436 | 2019/5/11 23:40,99.23
2437 | 2019/5/11 23:45,99.41
2438 | 2019/5/11 23:50,99.35
2439 | 2019/5/11 23:55,99.32
2440 | 2019/5/12 0:05,99.36
2441 | 2019/5/12 0:10,99.24
2442 | 2019/5/12 0:15,99.3
2443 | 2019/5/12 0:20,99.29
2444 | 2019/5/12 0:25,99.33
2445 | 2019/5/12 0:30,99.29
2446 | 2019/5/12 0:35,99.37
2447 | 2019/5/12 0:40,99.33
2448 | 2019/5/12 0:45,99.24
2449 | 2019/5/12 0:50,99.29
2450 | 2019/5/12 0:55,99.27
2451 | 2019/5/12 1:00,99.38
2452 | 2019/5/12 1:05,99.29
2453 | 2019/5/12 1:10,99.29
2454 | 2019/5/12 1:15,99.3
2455 | 2019/5/12 1:20,99.37
2456 | 2019/5/12 1:25,99.16
2457 | 2019/5/12 1:30,99.32
2458 | 2019/5/12 1:35,99.15
2459 | 2019/5/12 1:40,99.27
2460 | 2019/5/12 1:45,99.3
2461 | 2019/5/12 1:50,99.27
2462 | 2019/5/12 1:55,99.44
2463 | 2019/5/12 2:00,99.23
2464 | 2019/5/12 2:05,99.3
2465 | 2019/5/12 2:10,99.37
2466 | 2019/5/12 2:15,99.29
2467 | 2019/5/12 2:20,99.29
2468 | 2019/5/12 2:25,99.29
2469 | 2019/5/12 2:30,99.26
2470 | 2019/5/12 2:35,99.43
2471 | 2019/5/12 2:40,99.29
2472 | 2019/5/12 2:45,99.21
2473 | 2019/5/12 2:50,99.29
2474 | 2019/5/12 2:55,99.4
2475 | 2019/5/12 3:00,99.21
2476 | 2019/5/12 3:05,99.38
2477 | 2019/5/12 3:10,99.3
2478 | 2019/5/12 3:15,99.23
2479 | 2019/5/12 3:20,99.26
2480 | 2019/5/12 3:25,99.32
2481 | 2019/5/12 3:30,99.24
2482 | 2019/5/12 3:35,99.32
2483 | 2019/5/12 3:40,99.3
2484 | 2019/5/12 3:45,99.33
2485 | 2019/5/12 3:50,99.38
2486 | 2019/5/12 3:55,99.33
2487 | 2019/5/12 4:00,99.27
2488 | 2019/5/12 4:05,99.26
2489 | 2019/5/12 4:10,99.21
2490 | 2019/5/12 4:15,99.26
2491 | 2019/5/12 4:20,99.27
2492 | 2019/5/12 4:25,99.47
2493 | 2019/5/12 4:30,99.32
2494 | 2019/5/12 4:35,99.35
2495 | 2019/5/12 4:40,99.43
2496 | 2019/5/12 4:45,99.44
2497 | 2019/5/12 4:50,99.35
2498 | 2019/5/12 4:55,99.32
2499 | 2019/5/12 5:00,99.23
2500 | 2019/5/12 5:05,99.35
2501 | 2019/5/12 5:10,99.47
2502 | 2019/5/12 5:15,99.38
2503 | 2019/5/12 5:20,99.21
2504 | 2019/5/12 5:25,99.35
2505 | 2019/5/12 5:30,99.27
2506 | 2019/5/12 5:35,99.33
2507 | 2019/5/12 5:40,99.21
2508 | 2019/5/12 5:45,99.33
2509 | 2019/5/12 5:50,99.32
2510 | 2019/5/12 5:55,99.4
2511 | 2019/5/12 6:00,99.35
2512 | 2019/5/12 6:05,99.33
2513 | 2019/5/12 6:10,99.38
2514 | 2019/5/12 6:15,99.29
2515 | 2019/5/12 6:20,99.23
2516 | 2019/5/12 6:25,99.27
2517 | 2019/5/12 6:30,99.33
2518 | 2019/5/12 6:35,99.24
2519 | 2019/5/12 6:40,99.44
2520 | 2019/5/12 6:45,99.33
2521 | 2019/5/12 6:50,99.4
2522 | 2019/5/12 6:55,99.35
2523 | 2019/5/12 7:00,99.26
2524 | 2019/5/12 7:05,99.32
2525 | 2019/5/12 7:10,99.43
2526 | 2019/5/12 7:15,99.26
2527 | 2019/5/12 7:20,99.27
2528 | 2019/5/12 7:25,99.3
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2530 | 2019/5/12 7:35,99.37
2531 | 2019/5/12 7:40,99.37
2532 | 2019/5/12 7:45,99.29
2533 | 2019/5/12 7:50,99.37
2534 | 2019/5/12 7:55,99.32
2535 | 2019/5/12 8:00,99.32
2536 | 2019/5/12 8:05,99.38
2537 | 2019/5/12 8:10,99.3
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2539 | 2019/5/12 8:20,99.21
2540 | 2019/5/12 8:25,99.33
2541 | 2019/5/12 8:30,99.35
2542 | 2019/5/12 8:35,99.44
2543 | 2019/5/12 8:40,99.29
2544 | 2019/5/12 8:45,99.26
2545 | 2019/5/12 8:50,99.33
2546 | 2019/5/12 8:55,99.26
2547 | 2019/5/12 9:00,99.15
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2551 | 2019/5/12 9:20,99.21
2552 | 2019/5/12 9:25,99.4
2553 | 2019/5/12 9:30,99.3
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2555 | 2019/5/12 9:40,99.24
2556 | 2019/5/12 9:45,99.23
2557 | 2019/5/12 9:50,99.32
2558 | 2019/5/12 9:55,99.41
2559 | 2019/5/12 10:00,99.26
2560 | 2019/5/12 10:05,99.23
2561 | 2019/5/12 10:10,99.26
2562 | 2019/5/12 10:15,99.24
2563 | 2019/5/12 10:20,99.37
2564 | 2019/5/12 10:25,99.35
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2568 | 2019/5/12 10:45,99.3
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2570 | 2019/5/12 10:55,99.33
2571 | 2019/5/12 11:00,99.3
2572 | 2019/5/12 11:05,99.3
2573 | 2019/5/12 11:10,99.29
2574 | 2019/5/12 11:15,99.1
2575 | 2019/5/12 11:20,99.3
2576 | 2019/5/12 11:25,99.3
2577 | 2019/5/12 11:30,99.37
2578 | 2019/5/12 11:35,99.38
2579 | 2019/5/12 11:40,99.33
2580 | 2019/5/12 11:45,99.27
2581 | 2019/5/12 11:50,99.35
2582 | 2019/5/12 11:55,99.38
2583 | 2019/5/12 12:00,99.27
2584 | 2019/5/12 12:05,99.21
2585 | 2019/5/12 12:10,99.29
2586 | 2019/5/12 12:15,99.2
2587 | 2019/5/12 12:20,99.33
2588 | 2019/5/12 12:25,99.3
2589 | 2019/5/12 12:30,99.37
2590 | 2019/5/12 12:35,99.23
2591 | 2019/5/12 12:40,99.43
2592 | 2019/5/12 12:45,99.2
2593 | 2019/5/12 12:50,99.33
2594 | 2019/5/12 12:55,99.3
2595 | 2019/5/12 13:00,99.46
2596 | 2019/5/12 13:05,99.23
2597 | 2019/5/12 13:10,99.26
2598 | 2019/5/12 13:15,99.4
2599 | 2019/5/12 13:20,99.32
2600 | 2019/5/12 13:25,99.4
2601 | 2019/5/12 13:30,99.38
2602 | 2019/5/12 13:35,99.37
2603 | 2019/5/12 13:40,99.18
2604 | 2019/5/12 13:45,99.5
2605 | 2019/5/12 13:50,99.33
2606 | 2019/5/12 13:55,99.37
2607 | 2019/5/12 14:00,99.4
2608 | 2019/5/12 14:05,99.44
2609 | 2019/5/12 14:10,99.29
2610 | 2019/5/12 14:15,99.27
2611 | 2019/5/12 14:20,99.19
2612 | 2019/5/12 14:25,99.43
2613 | 2019/5/12 14:30,99.24
2614 | 2019/5/12 14:35,99.32
2615 | 2019/5/12 14:40,99.32
2616 | 2019/5/12 14:45,99.35
2617 | 2019/5/12 14:50,99.24
2618 | 2019/5/12 14:55,99.4
2619 | 2019/5/12 15:00,99.37
2620 | 2019/5/12 15:05,99.29
2621 | 2019/5/12 15:10,99.33
2622 | 2019/5/12 15:15,99.29
2623 | 2019/5/12 15:20,99.3
2624 | 2019/5/12 15:25,99.26
2625 | 2019/5/12 15:30,99.37
2626 | 2019/5/12 15:35,99.21
2627 | 2019/5/12 15:40,99.37
2628 | 2019/5/12 15:45,99.32
2629 | 2019/5/12 15:50,99.4
2630 | 2019/5/12 15:55,99.41
2631 | 2019/5/12 16:00,99.29
2632 | 2019/5/12 16:05,99.44
2633 | 2019/5/12 16:10,99.3
2634 | 2019/5/12 16:15,99.04
2635 | 2019/5/12 16:20,99.32
2636 | 2019/5/12 16:25,99.37
2637 | 2019/5/12 16:30,99.35
2638 | 2019/5/12 16:35,99.37
2639 | 2019/5/12 16:40,99.23
2640 | 2019/5/12 16:45,99.3
2641 | 2019/5/12 16:50,99.38
2642 | 2019/5/12 16:55,99.3
2643 | 2019/5/12 17:00,99.2
2644 | 2019/5/12 17:05,99.27
2645 | 2019/5/12 17:10,99.27
2646 | 2019/5/12 17:15,99.23
2647 | 2019/5/12 17:20,99.32
2648 | 2019/5/12 17:25,99.24
2649 | 2019/5/12 17:30,99.32
2650 | 2019/5/12 17:35,99.33
2651 | 2019/5/12 17:40,99.37
2652 | 2019/5/12 17:45,99.4
2653 | 2019/5/12 17:50,99.46
2654 | 2019/5/12 17:55,99.32
2655 | 2019/5/12 18:00,99.29
2656 | 2019/5/12 18:05,99.27
2657 | 2019/5/12 18:10,99.2
2658 | 2019/5/12 18:15,99.27
2659 | 2019/5/12 18:20,99.35
2660 | 2019/5/12 18:25,99.33
2661 | 2019/5/12 18:30,99.32
2662 | 2019/5/12 18:35,99.33
2663 | 2019/5/12 18:40,99.27
2664 | 2019/5/12 18:45,99.26
2665 | 2019/5/12 18:50,99.32
2666 | 2019/5/12 18:55,99.29
2667 | 2019/5/12 19:00,99.32
2668 | 2019/5/12 19:05,99.35
2669 | 2019/5/12 19:10,99.29
2670 | 2019/5/12 19:15,99.3
2671 | 2019/5/12 19:20,99.38
2672 | 2019/5/12 19:25,99.35
2673 | 2019/5/12 19:30,99.29
2674 | 2019/5/12 19:35,99.38
2675 | 2019/5/12 19:40,99.27
2676 | 2019/5/12 19:45,99.32
2677 | 2019/5/12 19:50,99.32
2678 | 2019/5/12 19:55,99.35
2679 | 2019/5/12 20:00,99.26
2680 | 2019/5/12 20:05,99.29
2681 | 2019/5/12 20:10,99.32
2682 | 2019/5/12 20:15,99.35
2683 | 2019/5/12 20:20,99.4
2684 | 2019/5/12 20:25,99.32
2685 | 2019/5/12 20:30,99.44
2686 | 2019/5/12 20:35,99.4
2687 | 2019/5/12 20:40,99.26
2688 | 2019/5/12 20:45,99.27
2689 | 2019/5/12 20:50,99.3
2690 | 2019/5/12 20:55,99.26
2691 | 2019/5/12 21:00,99.49
2692 | 2019/5/12 21:05,99.37
2693 | 2019/5/12 21:10,99.33
2694 | 2019/5/12 21:15,99.5
2695 | 2019/5/12 21:20,99.29
2696 | 2019/5/12 21:25,99.33
2697 | 2019/5/12 21:30,99.32
2698 | 2019/5/12 21:35,99.3
2699 | 2019/5/12 21:40,99.23
2700 | 2019/5/12 21:45,99.3
2701 | 2019/5/12 21:50,99.29
2702 | 2019/5/12 21:55,99.33
2703 | 2019/5/12 22:00,99.3
2704 | 2019/5/12 22:05,99.29
2705 | 2019/5/12 22:10,99.47
2706 | 2019/5/12 22:15,99.32
2707 | 2019/5/12 22:20,99.26
2708 | 2019/5/12 22:25,99.43
2709 | 2019/5/12 22:30,99.29
2710 | 2019/5/12 22:35,99.24
2711 | 2019/5/12 22:40,99.29
2712 | 2019/5/12 22:45,99.24
2713 | 2019/5/12 22:50,99.21
2714 | 2019/5/12 22:55,99.29
2715 | 2019/5/12 23:00,99.29
2716 | 2019/5/12 23:05,99.27
2717 | 2019/5/12 23:10,99.38
2718 | 2019/5/12 23:15,99.27
2719 | 2019/5/12 23:20,99.37
2720 | 2019/5/12 23:25,99.43
2721 | 2019/5/12 23:30,99.27
2722 | 2019/5/12 23:35,99.35
2723 | 2019/5/12 23:40,99.21
2724 | 2019/5/12 23:45,99.21
2725 | 2019/5/12 23:50,99.24
2726 | 2019/5/12 23:55,99.24
2727 | 2019/5/13 0:05,99.27
2728 | 2019/5/13 0:10,99.33
2729 | 2019/5/13 0:15,99.37
2730 | 2019/5/13 0:20,99.29
2731 | 2019/5/13 0:25,99.33
2732 | 2019/5/13 0:30,99.21
2733 | 2019/5/13 0:35,99.43
2734 | 2019/5/13 0:40,99.33
2735 | 2019/5/13 0:45,99.32
2736 | 2019/5/13 0:50,99.3
2737 | 2019/5/13 0:55,99.3
2738 | 2019/5/13 1:00,99.23
2739 | 2019/5/13 1:05,99.27
2740 | 2019/5/13 1:10,99.35
2741 | 2019/5/13 1:15,99.4
2742 | 2019/5/13 1:20,99.35
2743 | 2019/5/13 1:25,99.35
2744 | 2019/5/13 1:30,99.26
2745 | 2019/5/13 1:35,99.2
2746 | 2019/5/13 1:40,99.29
2747 | 2019/5/13 1:45,99.29
2748 | 2019/5/13 1:50,99.32
2749 | 2019/5/13 1:55,99.23
2750 | 2019/5/13 2:00,99.38
2751 | 2019/5/13 2:05,99.3
2752 | 2019/5/13 2:10,99.27
2753 | 2019/5/13 2:15,99.3
2754 | 2019/5/13 2:20,99.32
2755 | 2019/5/13 2:25,99.32
2756 | 2019/5/13 2:30,99.29
2757 | 2019/5/13 2:35,99.23
2758 | 2019/5/13 2:40,99.3
2759 | 2019/5/13 2:45,99.38
2760 | 2019/5/13 2:50,99.3
2761 | 2019/5/13 2:55,99.38
2762 | 2019/5/13 3:00,99.27
2763 | 2019/5/13 3:05,99.33
2764 | 2019/5/13 3:10,99.27
2765 | 2019/5/13 3:15,99.24
2766 | 2019/5/13 3:20,99.3
2767 | 2019/5/13 3:25,99.29
2768 | 2019/5/13 3:30,99.35
2769 | 2019/5/13 3:35,99.26
2770 | 2019/5/13 3:40,99.29
2771 | 2019/5/13 3:45,99.21
2772 | 2019/5/13 3:50,99.29
2773 | 2019/5/13 3:55,99.32
2774 | 2019/5/13 4:00,99.4
2775 | 2019/5/13 4:05,99.27
2776 | 2019/5/13 4:10,99.37
2777 | 2019/5/13 4:15,99.27
2778 | 2019/5/13 4:20,99.27
2779 | 2019/5/13 4:25,99.3
2780 | 2019/5/13 4:30,99.3
2781 | 2019/5/13 4:35,99.32
2782 | 2019/5/13 4:40,99.35
2783 | 2019/5/13 4:45,99.33
2784 | 2019/5/13 4:50,99.27
2785 | 2019/5/13 4:55,99.37
2786 | 2019/5/13 5:00,99.23
2787 | 2019/5/13 5:05,99.32
2788 | 2019/5/13 5:10,99.33
2789 | 2019/5/13 5:15,99.27
2790 | 2019/5/13 5:20,99.26
2791 | 2019/5/13 5:25,99.23
2792 | 2019/5/13 5:30,99.3
2793 | 2019/5/13 5:35,99.29
2794 | 2019/5/13 5:40,99.31
2795 | 2019/5/13 5:45,99.38
2796 | 2019/5/13 5:50,99.44
2797 | 2019/5/13 5:55,99.29
2798 | 2019/5/13 6:00,99.24
2799 | 2019/5/13 6:05,99.44
2800 | 2019/5/13 6:10,99.38
2801 | 2019/5/13 6:15,99.3
2802 | 2019/5/13 6:20,99.3
2803 | 2019/5/13 6:25,99.37
2804 | 2019/5/13 6:30,99.43
2805 | 2019/5/13 6:35,99.3
2806 | 2019/5/13 6:40,99.32
2807 | 2019/5/13 6:45,99.32
2808 | 2019/5/13 6:50,99.15
2809 | 2019/5/13 6:55,99.13
2810 | 2019/5/13 7:00,99.2
2811 | 2019/5/13 7:05,99.35
2812 | 2019/5/13 7:10,99.38
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2814 | 2019/5/13 7:20,99.33
2815 | 2019/5/13 7:25,99.27
2816 | 2019/5/13 7:30,99.21
2817 | 2019/5/13 7:35,99.32
2818 | 2019/5/13 7:40,99.38
2819 | 2019/5/13 7:45,99.3
2820 | 2019/5/13 7:50,99.27
2821 | 2019/5/13 7:55,99.35
2822 | 2019/5/13 8:00,99.24
2823 | 2019/5/13 8:05,99.3
2824 | 2019/5/13 8:10,99.41
2825 | 2019/5/13 8:15,99.43
2826 | 2019/5/13 8:20,99.4
2827 | 2019/5/13 8:25,99.24
2828 | 2019/5/13 8:30,99.32
2829 | 2019/5/13 8:35,99.4
2830 | 2019/5/13 8:40,99.35
2831 | 2019/5/13 8:45,99.32
2832 | 2019/5/13 8:50,99.27
2833 | 2019/5/13 8:55,99.29
2834 | 2019/5/13 9:00,99.38
2835 | 2019/5/13 9:05,99.2
2836 | 2019/5/13 9:10,99.29
2837 | 2019/5/13 9:15,99.4
2838 | 2019/5/13 9:20,99.35
2839 | 2019/5/13 9:25,99.24
2840 | 2019/5/13 9:30,99.37
2841 | 2019/5/13 9:35,99.4
2842 | 2019/5/13 9:40,99.27
2843 | 2019/5/13 9:45,99.3
2844 | 2019/5/13 9:50,99.33
2845 | 2019/5/13 9:55,99.23
2846 | 2019/5/13 10:00,99.38
2847 | 2019/5/13 10:05,99.29
2848 | 2019/5/13 10:10,99.27
2849 | 2019/5/13 10:15,99.4
2850 | 2019/5/13 10:20,99.3
2851 | 2019/5/13 10:25,99.4
2852 | 2019/5/13 10:30,99.4
2853 | 2019/5/13 10:35,99.23
2854 | 2019/5/13 10:40,99.44
2855 | 2019/5/13 10:45,99.35
2856 | 2019/5/13 10:50,99.27
2857 | 2019/5/13 10:55,99.16
2858 | 2019/5/13 11:00,99.33
2859 | 2019/5/13 11:05,99.24
2860 | 2019/5/13 11:10,99.33
2861 | 2019/5/13 11:15,99.26
2862 | 2019/5/13 11:20,99.23
2863 | 2019/5/13 11:25,99.3
2864 | 2019/5/13 11:30,99.27
2865 | 2019/5/13 11:35,99.35
2866 | 2019/5/13 11:40,99.38
2867 | 2019/5/13 11:45,99.3
2868 | 2019/5/13 11:50,99.27
2869 | 2019/5/13 11:55,99.23
2870 | 2019/5/13 12:00,99.35
2871 | 2019/5/13 12:05,99.27
2872 | 2019/5/13 12:10,99.37
2873 | 2019/5/13 12:15,99.38
2874 | 2019/5/13 12:20,99.27
2875 | 2019/5/13 12:25,99.27
2876 | 2019/5/13 12:30,99.38
2877 | 2019/5/13 12:35,99.37
2878 | 2019/5/13 12:40,99.2
2879 | 2019/5/13 12:45,99.32
2880 | 2019/5/13 12:50,99.32
2881 | 2019/5/13 12:55,99.32
2882 | 2019/5/13 13:00,99.4
2883 | 2019/5/13 13:05,99.35
2884 | 2019/5/13 13:10,99.29
2885 | 2019/5/13 13:15,99.35
2886 | 2019/5/13 13:20,99.29
2887 | 2019/5/13 13:25,99.27
2888 | 2019/5/13 13:30,99.33
2889 | 2019/5/13 13:35,99.26
2890 | 2019/5/13 13:40,99.29
2891 | 2019/5/13 13:45,99.3
2892 | 2019/5/13 13:50,99.32
2893 | 2019/5/13 13:55,99.15
2894 | 2019/5/13 14:00,99.29
2895 | 2019/5/13 14:05,99.12
2896 | 2019/5/13 14:10,99.38
2897 | 2019/5/13 14:15,99.3
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2899 | 2019/5/13 14:25,99.27
2900 | 2019/5/13 14:30,99.33
2901 | 2019/5/13 14:35,99.38
2902 | 2019/5/13 14:40,99.3
2903 | 2019/5/13 14:45,99.35
2904 | 2019/5/13 14:50,99.35
2905 | 2019/5/13 14:55,99.3
2906 | 2019/5/13 15:00,99.29
2907 | 2019/5/13 15:05,99.24
2908 | 2019/5/13 15:10,99.37
2909 | 2019/5/13 15:15,99.37
2910 | 2019/5/13 15:20,99.4
2911 | 2019/5/13 15:25,99.23
2912 | 2019/5/13 15:30,99.32
2913 | 2019/5/13 15:35,99.33
2914 | 2019/5/13 15:40,99.3
2915 | 2019/5/13 15:45,99.2
2916 | 2019/5/13 15:50,99.37
2917 | 2019/5/13 15:55,99.27
2918 | 2019/5/13 16:00,99.3
2919 | 2019/5/13 16:05,99.33
2920 | 2019/5/13 16:10,99.29
2921 | 2019/5/13 16:15,99.32
2922 | 2019/5/13 16:20,99.23
2923 | 2019/5/13 16:25,99.24
2924 | 2019/5/13 16:30,99.33
2925 | 2019/5/13 16:35,99.36
2926 | 2019/5/13 16:40,99.4
2927 | 2019/5/13 16:45,99.26
2928 | 2019/5/13 16:50,99.33
2929 | 2019/5/13 16:55,99.37
2930 | 2019/5/13 17:00,99.35
2931 | 2019/5/13 17:05,99.27
2932 | 2019/5/13 17:10,99.32
2933 | 2019/5/13 17:15,99.36
2934 | 2019/5/13 17:20,99.43
2935 | 2019/5/13 17:25,99.3
2936 | 2019/5/13 17:30,99.23
2937 | 2019/5/13 17:35,99.44
2938 | 2019/5/13 17:40,99.29
2939 | 2019/5/13 17:45,99.23
2940 | 2019/5/13 17:50,99.38
2941 | 2019/5/13 17:55,99.3
2942 | 2019/5/13 18:00,99.27
2943 | 2019/5/13 18:05,99.21
2944 | 2019/5/13 18:10,99.26
2945 | 2019/5/13 18:15,99.24
2946 | 2019/5/13 18:20,99.41
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2948 | 2019/5/13 18:30,99.24
2949 | 2019/5/13 18:35,99.32
2950 | 2019/5/13 18:40,99.23
2951 | 2019/5/13 18:45,99.37
2952 | 2019/5/13 18:50,99.27
2953 | 2019/5/13 18:55,99.35
2954 | 2019/5/13 19:00,99.27
2955 | 2019/5/13 19:05,99.27
2956 | 2019/5/13 19:10,99.27
2957 | 2019/5/13 19:15,99.21
2958 | 2019/5/13 19:20,99.3
2959 | 2019/5/13 19:25,99.33
2960 | 2019/5/13 19:30,99.34
2961 | 2019/5/13 19:35,99.33
2962 | 2019/5/13 19:40,99.26
2963 | 2019/5/13 19:45,99.27
2964 | 2019/5/13 19:50,99.21
2965 | 2019/5/13 19:55,99.18
2966 | 2019/5/13 20:00,99.4
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2970 | 2019/5/13 20:20,99.24
2971 | 2019/5/13 20:25,99.38
2972 | 2019/5/13 20:30,99.3
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2974 | 2019/5/13 20:40,99.32
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2976 | 2019/5/13 20:50,99.3
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2978 | 2019/5/13 21:00,99.35
2979 | 2019/5/13 21:05,99.33
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2990 | 2019/5/13 22:00,99.3
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2992 | 2019/5/13 22:10,99.38
2993 | 2019/5/13 22:15,99.35
2994 | 2019/5/13 22:20,99.35
2995 | 2019/5/13 22:25,99.3
2996 | 2019/5/13 22:30,99.33
2997 | 2019/5/13 22:35,99.29
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3000 | 2019/5/13 22:50,99.38
3001 | 2019/5/13 22:55,99.3
3002 | 2019/5/13 23:00,99.29
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3007 | 2019/5/13 23:25,99.3
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3009 | 2019/5/13 23:35,99.41
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3026 | 2019/5/14 1:05,99.34
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3028 | 2019/5/14 1:15,99.37
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3040 | 2019/5/14 2:15,99.29
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3045 | 2019/5/14 2:40,99.32
3046 | 2019/5/14 2:45,99.26
3047 | 2019/5/14 2:50,99.26
3048 | 2019/5/14 2:55,99.27
3049 | 2019/5/14 3:00,99.44
3050 | 2019/5/14 3:05,99.26
3051 | 2019/5/14 3:10,99.24
3052 | 2019/5/14 3:15,99.3
3053 | 2019/5/14 3:20,99.3
3054 | 2019/5/14 3:25,99.29
3055 | 2019/5/14 3:30,99.29
3056 | 2019/5/14 3:35,99.2
3057 | 2019/5/14 3:40,99.33
3058 | 2019/5/14 3:45,99.3
3059 | 2019/5/14 3:50,99.23
3060 | 2019/5/14 3:55,99.43
3061 | 2019/5/14 4:00,99.35
3062 | 2019/5/14 4:05,99.26
3063 | 2019/5/14 4:10,99.3
3064 | 2019/5/14 4:15,99.32
3065 | 2019/5/14 4:20,99.32
3066 | 2019/5/14 4:25,99.18
3067 | 2019/5/14 4:30,99.06
3068 | 2019/5/14 4:35,99.16
3069 | 2019/5/14 4:40,99.3
3070 | 2019/5/14 4:45,99.32
3071 | 2019/5/14 4:50,99.32
3072 | 2019/5/14 4:55,99.3
3073 | 2019/5/14 5:00,99.27
3074 | 2019/5/14 5:05,99.24
3075 | 2019/5/14 5:10,99.3
3076 | 2019/5/14 5:15,99.4
3077 | 2019/5/14 5:20,99.35
3078 | 2019/5/14 5:25,99.3
3079 | 2019/5/14 5:30,99.35
3080 | 2019/5/14 5:35,99.32
3081 | 2019/5/14 5:40,99.27
3082 | 2019/5/14 5:45,99.43
3083 | 2019/5/14 5:50,99.32
3084 | 2019/5/14 5:55,99.26
3085 | 2019/5/14 6:00,99.3
3086 | 2019/5/14 6:05,99.26
3087 | 2019/5/14 6:10,99.33
3088 | 2019/5/14 6:15,99.32
3089 | 2019/5/14 6:20,99.24
3090 | 2019/5/14 6:25,99.3
3091 | 2019/5/14 6:30,99.35
3092 | 2019/5/14 6:35,99.38
3093 | 2019/5/14 6:40,99.33
3094 | 2019/5/14 6:45,99.37
3095 | 2019/5/14 6:50,99.27
3096 | 2019/5/14 6:55,99.37
3097 | 2019/5/14 7:00,99.26
3098 | 2019/5/14 7:05,99.26
3099 | 2019/5/14 7:10,99.32
3100 | 2019/5/14 7:15,99.24
3101 | 2019/5/14 7:20,99.3
3102 | 2019/5/14 7:25,99.24
3103 | 2019/5/14 7:30,99.35
3104 | 2019/5/14 7:35,99.23
3105 | 2019/5/14 7:40,99.32
3106 | 2019/5/14 7:45,99.21
3107 | 2019/5/14 7:50,99.29
3108 | 2019/5/14 7:55,99.31
3109 | 2019/5/14 8:00,99.13
3110 | 2019/5/14 8:05,99.35
3111 | 2019/5/14 8:10,99.29
3112 | 2019/5/14 8:15,99.27
3113 | 2019/5/14 8:20,99.24
3114 | 2019/5/14 8:25,99.35
3115 | 2019/5/14 8:30,99.29
3116 | 2019/5/14 8:35,99.29
3117 | 2019/5/14 8:40,99.35
3118 | 2019/5/14 8:45,99.27
3119 | 2019/5/14 8:50,99.32
3120 | 2019/5/14 8:55,99.24
3121 | 2019/5/14 9:00,99.24
3122 | 2019/5/14 9:05,99.46
3123 | 2019/5/14 9:10,99.37
3124 | 2019/5/14 9:15,99.3
3125 | 2019/5/14 9:20,99.3
3126 | 2019/5/14 9:25,99.38
3127 | 2019/5/14 9:30,99.3
3128 | 2019/5/14 9:35,99.38
3129 | 2019/5/14 9:40,99.38
3130 | 2019/5/14 9:45,99.36
3131 | 2019/5/14 9:50,99.32
3132 | 2019/5/14 9:55,99.3
3133 | 2019/5/14 10:00,99.38
3134 | 2019/5/14 10:05,99.23
3135 | 2019/5/14 10:10,99.27
3136 | 2019/5/14 10:15,99.29
3137 | 2019/5/14 10:20,99.29
3138 | 2019/5/14 10:25,99.23
3139 | 2019/5/14 10:30,99.29
3140 | 2019/5/14 10:35,99.32
3141 | 2019/5/14 10:40,99.27
3142 | 2019/5/14 10:45,99.32
3143 | 2019/5/14 10:50,99.29
3144 | 2019/5/14 10:55,99.35
3145 | 2019/5/14 11:00,99.38
3146 | 2019/5/14 11:05,99.32
3147 | 2019/5/14 11:10,99.43
3148 | 2019/5/14 11:15,99.37
3149 | 2019/5/14 11:20,99.27
3150 | 2019/5/14 11:25,99.33
3151 | 2019/5/14 11:30,99.43
3152 | 2019/5/14 11:35,99.3
3153 | 2019/5/14 11:40,99.1
3154 | 2019/5/14 11:45,99.41
3155 | 2019/5/14 11:50,99.27
3156 | 2019/5/14 11:55,99.33
3157 | 2019/5/14 12:00,99.5
3158 | 2019/5/14 12:05,99.29
3159 | 2019/5/14 12:10,99.27
3160 | 2019/5/14 12:15,99.37
3161 | 2019/5/14 12:20,99.27
3162 | 2019/5/14 12:25,99.23
3163 | 2019/5/14 12:30,99.35
3164 | 2019/5/14 12:35,99.33
3165 | 2019/5/14 12:40,99.3
3166 | 2019/5/14 12:45,99.4
3167 | 2019/5/14 12:50,99.37
3168 | 2019/5/14 12:55,99.29
3169 | 2019/5/14 13:00,99.29
3170 | 2019/5/14 13:05,99.33
3171 | 2019/5/14 13:10,99.36
3172 | 2019/5/14 13:15,99.3
3173 | 2019/5/14 13:20,99.29
3174 | 2019/5/14 13:25,99.26
3175 | 2019/5/14 13:30,99.38
3176 | 2019/5/14 13:35,99.38
3177 | 2019/5/14 13:40,99.26
3178 | 2019/5/14 13:45,99.29
3179 | 2019/5/14 13:50,99.24
3180 | 2019/5/14 13:55,99.26
3181 | 2019/5/14 14:00,99.33
3182 | 2019/5/14 14:05,99.21
3183 | 2019/5/14 14:10,99.38
3184 | 2019/5/14 14:15,99.3
3185 | 2019/5/14 14:20,99.18
3186 | 2019/5/14 14:25,99.3
3187 | 2019/5/14 14:30,99.33
3188 | 2019/5/14 14:35,99.29
3189 | 2019/5/14 14:40,99.37
3190 | 2019/5/14 14:45,99.35
3191 | 2019/5/14 14:50,99.38
3192 | 2019/5/14 14:55,99.52
3193 | 2019/5/14 15:00,99.29
3194 | 2019/5/14 15:05,99.29
3195 | 2019/5/14 15:10,99.3
3196 | 2019/5/14 15:15,99.46
3197 | 2019/5/14 15:20,99.41
3198 | 2019/5/14 15:25,99.33
3199 | 2019/5/14 15:30,99.35
3200 | 2019/5/14 15:35,99.4
3201 | 2019/5/14 15:40,99.33
3202 | 2019/5/14 15:45,99.29
3203 | 2019/5/14 15:50,99.32
3204 | 2019/5/14 15:55,99.44
3205 | 2019/5/14 16:00,99.23
3206 | 2019/5/14 16:05,99.35
3207 | 2019/5/14 16:10,99.37
3208 | 2019/5/14 16:15,99.29
3209 | 2019/5/14 16:20,99.4
3210 | 2019/5/14 16:25,99.38
3211 | 2019/5/14 16:30,99.35
3212 | 2019/5/14 16:35,99.35
3213 | 2019/5/14 16:40,99.24
3214 | 2019/5/14 16:45,99.26
3215 | 2019/5/14 16:50,99.43
3216 | 2019/5/14 16:55,99.44
3217 | 2019/5/14 17:00,99.32
3218 | 2019/5/14 17:05,99.29
3219 | 2019/5/14 17:10,99.4
3220 | 2019/5/14 17:15,99.27
3221 | 2019/5/14 17:20,99.38
3222 | 2019/5/14 17:25,99.29
3223 | 2019/5/14 17:30,99.32
3224 | 2019/5/14 17:35,99.27
3225 | 2019/5/14 17:40,99.24
3226 | 2019/5/14 17:45,99.29
3227 | 2019/5/14 17:50,99.44
3228 | 2019/5/14 17:55,99.24
3229 | 2019/5/14 18:00,99.32
3230 | 2019/5/14 18:05,99.35
3231 | 2019/5/14 18:10,99.35
3232 | 2019/5/14 18:15,99.35
3233 | 2019/5/14 18:20,99.21
3234 | 2019/5/14 18:25,99.26
3235 | 2019/5/14 18:30,99.27
3236 | 2019/5/14 18:35,99.43
3237 | 2019/5/14 18:40,99.4
3238 | 2019/5/14 18:45,99.32
3239 | 2019/5/14 18:50,99.3
3240 | 2019/5/14 18:55,99.29
3241 | 2019/5/14 19:00,99.3
3242 | 2019/5/14 19:05,99.47
3243 | 2019/5/14 19:10,99.46
3244 | 2019/5/14 19:15,99.33
3245 | 2019/5/14 19:20,99.29
3246 | 2019/5/14 19:25,99.27
3247 | 2019/5/14 19:30,99.27
3248 | 2019/5/14 19:35,99.47
3249 | 2019/5/14 19:40,99.43
3250 | 2019/5/14 19:45,99.32
3251 | 2019/5/14 19:50,99.29
3252 | 2019/5/14 19:55,99.24
3253 | 2019/5/14 20:00,99.24
3254 | 2019/5/14 20:05,99.33
3255 | 2019/5/14 20:10,99.26
3256 | 2019/5/14 20:15,99.23
3257 | 2019/5/14 20:20,99.23
3258 | 2019/5/14 20:25,99.38
3259 | 2019/5/14 20:30,99.29
3260 | 2019/5/14 20:35,99.26
3261 | 2019/5/14 20:40,99.24
3262 | 2019/5/14 20:45,99.32
3263 | 2019/5/14 20:50,99.41
3264 | 2019/5/14 20:55,99.41
3265 | 2019/5/14 21:00,99.23
3266 | 2019/5/14 21:05,99.29
3267 | 2019/5/14 21:10,99.23
3268 | 2019/5/14 21:15,99.37
3269 | 2019/5/14 21:20,99.33
3270 | 2019/5/14 21:25,99.33
3271 | 2019/5/14 21:30,99.24
3272 | 2019/5/14 21:35,99.33
3273 | 2019/5/14 21:40,99.3
3274 | 2019/5/14 21:45,99.29
3275 | 2019/5/14 21:50,99.32
3276 | 2019/5/14 21:55,99.26
3277 | 2019/5/14 22:00,99.26
3278 | 2019/5/14 22:05,99.32
3279 | 2019/5/14 22:10,99.43
3280 | 2019/5/14 22:15,99.37
3281 | 2019/5/14 22:20,99.41
3282 | 2019/5/14 22:25,99.41
3283 | 2019/5/14 22:30,99.29
3284 | 2019/5/14 22:35,99.32
3285 | 2019/5/14 22:40,99.38
3286 | 2019/5/14 22:45,99.36
3287 | 2019/5/14 22:50,99.4
3288 | 2019/5/14 22:55,99.24
3289 | 2019/5/14 23:00,99.35
3290 | 2019/5/14 23:05,99.38
3291 | 2019/5/14 23:10,99.33
3292 | 2019/5/14 23:15,99.29
3293 | 2019/5/14 23:20,99.4
3294 | 2019/5/14 23:25,99.33
3295 | 2019/5/14 23:30,99.29
3296 | 2019/5/14 23:35,99.33
3297 | 2019/5/14 23:40,99.4
3298 | 2019/5/14 23:45,99.24
3299 | 2019/5/14 23:50,99.27
3300 | 2019/5/14 23:55,99.35
3301 | 2019/5/15 0:05,99.3
3302 | 2019/5/15 0:10,99.27
3303 | 2019/5/15 0:15,99.32
3304 | 2019/5/15 0:20,99.27
3305 | 2019/5/15 0:25,99.33
3306 | 2019/5/15 0:30,99.32
3307 | 2019/5/15 0:35,99.33
3308 | 2019/5/15 0:40,99.32
3309 | 2019/5/15 0:45,99.4
3310 | 2019/5/15 0:51,99.23
3311 | 2019/5/15 0:55,99.35
3312 | 2019/5/15 1:00,99.27
3313 | 2019/5/15 1:05,99.33
3314 | 2019/5/15 1:10,99.24
3315 | 2019/5/15 1:15,99.27
3316 | 2019/5/15 1:20,99.4
3317 | 2019/5/15 1:25,99.26
3318 | 2019/5/15 1:30,99.3
3319 | 2019/5/15 1:35,99.38
3320 | 2019/5/15 1:40,99.38
3321 | 2019/5/15 1:45,99.33
3322 | 2019/5/15 1:50,99.29
3323 | 2019/5/15 1:55,99.4
3324 | 2019/5/15 2:00,99.37
3325 | 2019/5/15 2:05,99.29
3326 | 2019/5/15 2:10,99.3
3327 | 2019/5/15 2:15,99.16
3328 | 2019/5/15 2:20,99.07
3329 | 2019/5/15 2:25,99.26
3330 | 2019/5/15 2:30,99.43
3331 | 2019/5/15 2:36,99.27
3332 | 2019/5/15 2:40,99.3
3333 | 2019/5/15 2:45,99.24
3334 | 2019/5/15 2:50,99.23
3335 | 2019/5/15 2:55,99.32
3336 | 2019/5/15 3:00,99.26
3337 | 2019/5/15 3:05,99.32
3338 | 2019/5/15 3:10,99.24
3339 | 2019/5/15 3:15,99.29
3340 | 2019/5/15 3:20,99.27
3341 | 2019/5/15 3:25,99.26
3342 | 2019/5/15 3:30,99.23
3343 | 2019/5/15 3:35,99.24
3344 | 2019/5/15 3:40,99.35
3345 | 2019/5/15 3:45,99.26
3346 | 2019/5/15 3:50,99.38
3347 | 2019/5/15 3:55,99.32
3348 | 2019/5/15 4:00,99.24
3349 | 2019/5/15 4:05,99.27
3350 | 2019/5/15 4:10,99.35
3351 | 2019/5/15 4:15,99.24
3352 | 2019/5/15 4:20,99.38
3353 | 2019/5/15 4:25,99.35
3354 | 2019/5/15 4:30,99.41
3355 | 2019/5/15 4:35,99.37
3356 | 2019/5/15 4:40,99.27
3357 | 2019/5/15 4:45,99.33
3358 | 2019/5/15 4:50,99.27
3359 | 2019/5/15 4:55,99.24
3360 | 2019/5/15 5:00,99.3
3361 | 2019/5/15 5:05,99.38
3362 | 2019/5/15 5:10,99.37
3363 | 2019/5/15 5:15,99.29
3364 | 2019/5/15 5:20,99.21
3365 | 2019/5/15 5:25,99.27
3366 | 2019/5/15 5:30,99.29
3367 | 2019/5/15 5:35,99.35
3368 | 2019/5/15 5:40,99.24
3369 | 2019/5/15 5:45,99.24
3370 | 2019/5/15 5:50,99.3
3371 | 2019/5/15 5:55,99.33
3372 | 2019/5/15 6:00,99.27
3373 | 2019/5/15 6:05,99.32
3374 | 2019/5/15 6:10,99.32
3375 | 2019/5/15 6:15,99.29
3376 | 2019/5/15 6:20,99.33
3377 | 2019/5/15 6:25,99.58
3378 | 2019/5/15 6:30,99.46
3379 | 2019/5/15 6:35,99.41
3380 | 2019/5/15 6:41,99.4
3381 | 2019/5/15 6:45,99.26
3382 | 2019/5/15 6:50,99.3
3383 | 2019/5/15 6:55,99.3
3384 | 2019/5/15 7:00,99.26
3385 | 2019/5/15 7:05,99.34
3386 | 2019/5/15 7:11,99.38
3387 | 2019/5/15 7:15,99.3
3388 | 2019/5/15 7:20,99.38
3389 | 2019/5/15 7:25,99.3
3390 | 2019/5/15 7:30,99.32
3391 | 2019/5/15 7:35,99.4
3392 | 2019/5/15 7:40,99.38
3393 | 2019/5/15 7:45,99.4
3394 | 2019/5/15 7:50,99.34
3395 | 2019/5/15 7:55,99.32
3396 | 2019/5/15 8:00,99.3
3397 | 2019/5/15 8:05,99.4
3398 | 2019/5/15 8:10,99.37
3399 | 2019/5/15 8:15,99.32
3400 | 2019/5/15 8:20,99.24
3401 | 2019/5/15 8:25,99.27
3402 | 2019/5/15 8:30,99.24
3403 | 2019/5/15 8:35,99.41
3404 | 2019/5/15 8:40,99.35
3405 | 2019/5/15 8:45,99.33
3406 | 2019/5/15 8:50,99.37
3407 | 2019/5/15 8:55,99.27
3408 | 2019/5/15 9:00,99.33
3409 | 2019/5/15 9:05,99.27
3410 | 2019/5/15 9:10,99.41
3411 | 2019/5/15 9:15,99.37
3412 | 2019/5/15 9:20,99.35
3413 | 2019/5/15 9:26,99.41
3414 | 2019/5/15 9:30,99.32
3415 | 2019/5/15 9:35,99.26
3416 | 2019/5/15 9:40,99.23
3417 | 2019/5/15 9:46,99.29
3418 | 2019/5/15 9:50,99.44
3419 | 2019/5/15 9:55,99.32
3420 | 2019/5/15 10:00,99.38
3421 | 2019/5/15 10:05,99.3
3422 | 2019/5/15 10:10,99.32
3423 | 2019/5/15 10:15,99.21
3424 | 2019/5/15 10:20,99.3
3425 | 2019/5/15 10:25,99.21
3426 | 2019/5/15 10:30,99.35
3427 | 2019/5/15 10:35,99.23
3428 | 2019/5/15 10:40,99.4
3429 | 2019/5/15 10:45,99.38
3430 | 2019/5/15 10:50,99.27
3431 | 2019/5/15 10:55,99.3
3432 | 2019/5/15 11:00,99.36
3433 | 2019/5/15 11:05,99.35
3434 | 2019/5/15 11:10,99.27
3435 | 2019/5/15 11:16,99.41
3436 | 2019/5/15 11:20,99.3
3437 | 2019/5/15 11:25,99.38
3438 | 2019/5/15 11:30,99.3
3439 | 2019/5/15 11:35,99.36
3440 | 2019/5/15 11:40,99.26
3441 | 2019/5/15 11:45,99.32
3442 | 2019/5/15 11:50,99.32
3443 | 2019/5/15 11:55,99.41
3444 | 2019/5/15 12:00,99.41
3445 | 2019/5/15 12:05,99.37
3446 | 2019/5/15 12:10,99.21
3447 | 2019/5/15 12:15,99.33
3448 | 2019/5/15 12:20,99.32
3449 | 2019/5/15 12:25,99.35
3450 | 2019/5/15 12:30,99.3
3451 | 2019/5/15 12:35,99.26
3452 | 2019/5/15 12:40,99.33
3453 | 2019/5/15 12:45,99.24
3454 | 2019/5/15 12:50,99.27
3455 | 2019/5/15 12:55,99.35
3456 | 2019/5/15 13:00,99.35
3457 | 2019/5/15 13:05,99.4
3458 | 2019/5/15 13:10,99.26
3459 | 2019/5/15 13:15,99.43
3460 | 2019/5/15 13:20,99.26
3461 | 2019/5/15 13:25,99.41
3462 | 2019/5/15 13:30,99.29
3463 | 2019/5/15 13:35,99.38
3464 | 2019/5/15 13:40,99.43
3465 | 2019/5/15 13:45,99.18
3466 | 2019/5/15 13:50,99.27
3467 | 2019/5/15 13:55,99.32
3468 | 2019/5/15 14:00,99.32
3469 | 2019/5/15 14:05,99.33
3470 | 2019/5/15 14:10,99.33
3471 | 2019/5/15 14:15,99.26
3472 | 2019/5/15 14:20,99.3
3473 | 2019/5/15 14:25,99.26
3474 | 2019/5/15 14:30,99.32
3475 | 2019/5/15 14:35,99.24
3476 | 2019/5/15 14:40,99.32
3477 | 2019/5/15 14:45,99.27
3478 | 2019/5/15 14:50,99.26
3479 | 2019/5/15 14:55,99.23
3480 | 2019/5/15 15:00,99.44
3481 | 2019/5/15 15:05,99.35
3482 | 2019/5/15 15:10,99.23
3483 | 2019/5/15 15:15,99.37
3484 | 2019/5/15 15:20,99.33
3485 | 2019/5/15 15:25,99.29
3486 | 2019/5/15 15:30,99.26
3487 | 2019/5/15 15:35,99.23
3488 | 2019/5/15 15:40,99.23
3489 | 2019/5/15 15:45,99.36
3490 | 2019/5/15 15:50,99.37
3491 | 2019/5/15 15:55,99.21
3492 | 2019/5/15 16:00,99.27
3493 | 2019/5/15 16:05,99.29
3494 | 2019/5/15 16:10,99.32
3495 | 2019/5/15 16:15,99.38
3496 | 2019/5/15 16:20,99.4
3497 | 2019/5/15 16:25,99.27
3498 | 2019/5/15 16:30,99.23
3499 | 2019/5/15 16:35,99.32
3500 | 2019/5/15 16:40,99.4
3501 | 2019/5/15 16:45,99.06
3502 | 2019/5/15 16:50,99.24
3503 | 2019/5/15 16:55,99.26
3504 | 2019/5/15 17:00,99.29
3505 | 2019/5/15 17:06,99.29
3506 | 2019/5/15 17:10,99.27
3507 | 2019/5/15 17:15,99.3
3508 | 2019/5/15 17:20,99.33
3509 | 2019/5/15 17:25,99.35
3510 | 2019/5/16 9:15,99.33
3511 | 2019/5/16 9:20,99.41
3512 | 2019/5/16 9:25,99.32
3513 | 2019/5/16 9:30,99.35
3514 | 2019/5/16 9:35,99.23
3515 | 2019/5/16 9:40,99.41
3516 | 2019/5/16 9:45,99.23
3517 | 2019/5/16 9:50,99.27
3518 | 2019/5/16 9:55,99.3
3519 | 2019/5/16 10:00,99.3
3520 | 2019/5/16 10:05,99.23
3521 | 2019/5/16 10:10,99.3
3522 | 2019/5/16 10:15,99.21
3523 | 2019/5/16 10:20,99.24
3524 | 2019/5/16 10:25,99.4
3525 | 2019/5/16 10:30,99.26
3526 | 2019/5/16 10:35,99.24
3527 | 2019/5/16 10:40,99.35
3528 | 2019/5/16 10:45,99.16
3529 | 2019/5/16 10:50,99.24
3530 | 2019/5/16 10:55,99.29
3531 | 2019/5/16 11:00,99.4
3532 | 2019/5/16 11:05,99.26
3533 | 2019/5/16 11:10,99.32
3534 | 2019/5/16 11:15,99.26
3535 | 2019/5/16 11:20,99.32
3536 | 2019/5/16 11:25,99.46
3537 | 2019/5/16 11:30,99.41
3538 | 2019/5/16 11:35,99.3
3539 | 2019/5/16 11:40,99.33
3540 | 2019/5/16 11:45,99.27
3541 | 2019/5/16 11:50,99.32
3542 | 2019/5/16 11:55,99.35
3543 | 2019/5/16 12:00,99.38
3544 | 2019/5/16 12:05,99.18
3545 | 2019/5/16 12:10,99.26
3546 | 2019/5/16 12:15,99.21
3547 | 2019/5/16 12:20,99.35
3548 | 2019/5/16 12:25,99.3
3549 | 2019/5/16 12:30,99.35
3550 | 2019/5/16 12:35,99.26
3551 | 2019/5/16 12:40,99.29
3552 | 2019/5/16 12:45,99.3
3553 | 2019/5/16 12:50,99.33
3554 | 2019/5/16 12:55,99.33
3555 | 2019/5/16 13:00,99.3
3556 | 2019/5/16 13:05,99.26
3557 | 2019/5/16 13:10,99.35
3558 | 2019/5/16 13:15,99.29
3559 | 2019/5/16 13:20,99.21
3560 | 2019/5/16 13:25,99.33
3561 | 2019/5/16 13:30,99.24
3562 | 2019/5/16 13:35,99.38
3563 | 2019/5/16 13:40,99.33
3564 | 2019/5/16 13:45,99.3
3565 | 2019/5/16 13:50,99.26
3566 | 2019/5/16 13:55,99.4
3567 | 2019/5/16 14:00,99.32
3568 | 2019/5/16 14:05,99.18
3569 | 2019/5/16 14:10,99.24
3570 | 2019/5/16 14:15,99.23
3571 | 2019/5/16 14:20,99.35
3572 | 2019/5/16 14:25,99.41
3573 | 2019/5/16 14:30,99.37
3574 | 2019/5/16 14:35,99.32
3575 | 2019/5/16 14:40,99.23
3576 | 2019/5/16 14:45,99.29
3577 | 2019/5/16 14:50,99.29
3578 | 2019/5/16 14:55,99.06
3579 | 2019/5/16 15:00,99.38
3580 | 2019/5/16 15:05,99.3
3581 | 2019/5/16 15:10,99.21
3582 | 2019/5/16 15:15,99.32
3583 | 2019/5/16 15:20,99.26
3584 | 2019/5/16 15:25,99.33
3585 | 2019/5/16 15:30,99.27
3586 | 2019/5/16 15:35,99.38
3587 | 2019/5/16 15:40,99.32
3588 | 2019/5/16 15:45,99.38
3589 | 2019/5/16 15:50,99.27
3590 | 2019/5/16 15:55,99.35
3591 | 2019/5/16 16:00,99.33
3592 | 2019/5/16 16:05,99.41
3593 | 2019/5/16 16:10,99.2
3594 | 2019/5/16 16:15,99.3
3595 | 2019/5/16 16:20,99.26
3596 | 2019/5/16 16:25,99.27
3597 | 2019/5/16 16:30,99.33
3598 | 2019/5/16 16:35,99.27
3599 | 2019/5/16 16:40,99.37
3600 | 2019/5/16 16:45,99.32
3601 | 2019/5/16 16:50,99.32
3602 | 2019/5/16 16:55,99.26
3603 | 2019/5/16 17:00,99.29
3604 | 2019/5/16 17:05,99.33
3605 | 2019/5/16 17:10,99.33
3606 | 2019/5/16 17:15,99.33
3607 | 2019/5/16 17:20,99.33
3608 | 2019/5/16 17:25,99.24
3609 | 2019/5/16 17:30,99.27
3610 | 2019/5/16 17:35,99.23
3611 | 2019/5/16 17:40,99.35
3612 | 2019/5/16 17:45,99.38
3613 | 2019/5/16 17:50,99.37
3614 | 2019/5/16 17:55,99.23
3615 | 2019/5/16 18:00,99.37
3616 | 2019/5/16 18:05,99.34
3617 | 2019/5/16 18:10,99.38
3618 | 2019/5/16 18:15,99.38
3619 | 2019/5/16 18:20,99.38
3620 | 2019/5/16 18:25,99.43
3621 | 2019/5/16 18:30,99.41
3622 | 2019/5/16 18:35,99.24
3623 | 2019/5/16 18:40,99.29
3624 | 2019/5/16 18:45,99.35
3625 | 2019/5/16 18:50,99.26
3626 | 2019/5/16 18:55,99.32
3627 | 2019/5/16 19:00,99.29
3628 | 2019/5/16 19:05,99.24
3629 | 2019/5/16 19:10,99.3
3630 | 2019/5/16 19:15,99.32
3631 | 2019/5/16 19:20,99.37
3632 | 2019/5/16 19:25,99.27
3633 | 2019/5/16 19:30,99.3
3634 | 2019/5/16 19:35,99.33
3635 | 2019/5/16 19:40,99.24
3636 | 2019/5/16 19:45,99.33
3637 | 2019/5/16 19:50,99.24
3638 | 2019/5/16 19:55,99.24
3639 | 2019/5/16 20:00,99.41
3640 | 2019/5/16 20:05,99.47
3641 | 2019/5/16 20:10,99.32
3642 | 2019/5/16 20:15,99.26
3643 | 2019/5/16 20:20,99.29
3644 | 2019/5/16 20:25,99.29
3645 | 2019/5/16 20:30,99.37
3646 | 2019/5/16 20:35,99.29
3647 | 2019/5/16 20:40,99.23
3648 | 2019/5/16 20:45,99.23
3649 | 2019/5/16 20:50,99.29
3650 | 2019/5/16 20:55,99.35
3651 | 2019/5/16 21:00,99.26
3652 | 2019/5/16 21:05,99.24
3653 | 2019/5/16 21:10,99.3
3654 | 2019/5/16 21:15,99.4
3655 | 2019/5/16 21:20,99.3
3656 | 2019/5/16 21:25,99.35
3657 | 2019/5/16 21:30,99.29
3658 | 2019/5/16 21:35,99.46
3659 | 2019/5/16 21:40,99.41
3660 | 2019/5/16 21:45,99.21
3661 | 2019/5/16 21:50,99.35
3662 | 2019/5/16 21:55,99.41
3663 | 2019/5/16 22:00,99.23
3664 | 2019/5/16 22:05,99.35
3665 | 2019/5/16 22:10,99.15
3666 | 2019/5/16 22:15,99.1
3667 | 2019/5/16 22:20,99.26
3668 | 2019/5/16 22:25,99.33
3669 | 2019/5/16 22:30,99.27
3670 | 2019/5/16 22:35,99.35
3671 | 2019/5/16 22:40,99.29
3672 | 2019/5/16 22:45,99.26
3673 | 2019/5/16 22:50,99.3
3674 | 2019/5/16 22:55,99.23
3675 | 2019/5/16 23:00,99.2
3676 | 2019/5/16 23:05,99.38
3677 | 2019/5/16 23:10,99.29
3678 | 2019/5/16 23:15,99.23
3679 | 2019/5/16 23:20,99.46
3680 | 2019/5/16 23:25,99.27
3681 | 2019/5/16 23:30,99.35
3682 | 2019/5/16 23:35,99.37
3683 | 2019/5/16 23:40,99.18
3684 | 2019/5/16 23:45,99.33
3685 | 2019/5/16 23:50,99.3
3686 | 2019/5/16 23:55,99.38
3687 | 2019/5/17 0:05,99.3
3688 | 2019/5/17 0:10,99.3
3689 | 2019/5/17 0:15,99.44
3690 | 2019/5/17 0:20,99.29
3691 | 2019/5/17 0:25,99.24
3692 | 2019/5/17 0:30,99.33
3693 | 2019/5/17 0:35,99.33
3694 | 2019/5/17 0:40,99.26
3695 | 2019/5/17 0:45,99.26
3696 | 2019/5/17 0:50,99.26
3697 | 2019/5/17 0:55,99.19
3698 | 2019/5/17 1:00,99.29
3699 | 2019/5/17 1:05,99.34
3700 | 2019/5/17 1:10,99.27
3701 | 2019/5/17 1:15,99.32
3702 | 2019/5/17 1:21,99.36
3703 | 2019/5/17 1:25,99.3
3704 | 2019/5/17 1:30,99.29
3705 | 2019/5/17 1:35,99.38
3706 | 2019/5/17 1:40,99.32
3707 | 2019/5/17 1:45,99.27
3708 | 2019/5/17 1:50,99.29
3709 | 2019/5/17 1:55,99.32
3710 | 2019/5/17 2:00,99.27
3711 | 2019/5/17 2:05,99.3
3712 | 2019/5/17 2:10,99.3
3713 | 2019/5/17 2:15,99.24
3714 | 2019/5/17 2:20,99.24
3715 | 2019/5/17 2:25,99.38
3716 | 2019/5/17 2:30,99.23
3717 | 2019/5/17 2:35,99.3
3718 | 2019/5/17 2:40,99.37
3719 | 2019/5/17 2:45,99.29
3720 | 2019/5/17 2:50,99.21
3721 | 2019/5/17 2:55,99.33
3722 | 2019/5/17 3:00,99.35
3723 | 2019/5/17 3:05,99.29
3724 | 2019/5/17 3:10,99.4
3725 | 2019/5/17 3:15,99.32
3726 | 2019/5/17 3:20,99.24
3727 | 2019/5/17 3:25,99.32
3728 | 2019/5/17 3:30,99.24
3729 | 2019/5/17 3:35,99.29
3730 | 2019/5/17 3:40,99.4
3731 | 2019/5/17 3:45,99.38
3732 | 2019/5/17 3:50,99.33
3733 | 2019/5/17 3:55,99.21
3734 | 2019/5/17 4:00,99.35
3735 | 2019/5/17 4:05,99.26
3736 | 2019/5/17 4:10,99.29
3737 | 2019/5/17 4:15,99.29
3738 | 2019/5/17 4:20,99.35
3739 | 2019/5/17 4:25,99.29
3740 | 2019/5/17 4:30,99.4
3741 | 2019/5/17 4:35,99.3
3742 | 2019/5/17 4:40,99.21
3743 | 2019/5/17 4:45,99.29
3744 | 2019/5/17 4:50,99.29
3745 | 2019/5/17 4:55,99.37
3746 | 2019/5/17 5:00,99.27
3747 | 2019/5/17 5:05,99.2
3748 | 2019/5/17 5:10,99.3
3749 | 2019/5/17 5:15,99.27
3750 | 2019/5/17 5:20,99.44
3751 | 2019/5/17 5:25,99.3
3752 | 2019/5/17 5:30,99.27
3753 | 2019/5/17 5:35,99.12
3754 | 2019/5/17 5:40,99.38
3755 | 2019/5/17 5:45,99.38
3756 | 2019/5/17 5:50,99.38
3757 | 2019/5/17 5:55,99.2
3758 | 2019/5/17 6:00,99.32
3759 | 2019/5/17 6:05,99.4
3760 | 2019/5/17 6:10,99.29
3761 | 2019/5/17 6:15,99.21
3762 | 2019/5/17 6:20,99.35
3763 | 2019/5/17 6:25,99.33
3764 | 2019/5/17 6:30,99.26
3765 | 2019/5/17 6:35,99.37
3766 | 2019/5/17 6:40,99.21
3767 | 2019/5/17 6:45,99.41
3768 | 2019/5/17 6:50,99.27
3769 | 2019/5/17 6:55,99.26
3770 | 2019/5/17 7:00,99.24
3771 | 2019/5/17 7:05,99.33
3772 | 2019/5/17 7:10,99.24
3773 | 2019/5/17 7:15,99.33
3774 | 2019/5/17 7:20,99.24
3775 | 2019/5/17 7:25,99.27
3776 | 2019/5/17 7:30,99.19
3777 | 2019/5/17 7:35,99.3
3778 | 2019/5/17 7:40,99.33
3779 | 2019/5/17 7:45,99.43
3780 | 2019/5/17 7:50,99.38
3781 | 2019/5/17 7:55,99.37
3782 | 2019/5/17 8:00,99.26
3783 | 2019/5/17 8:05,99.32
3784 | 2019/5/17 8:10,99.3
3785 | 2019/5/17 8:15,99.33
3786 | 2019/5/17 8:20,99.27
3787 | 2019/5/17 8:25,99.35
3788 | 2019/5/17 8:30,99.23
3789 | 2019/5/17 8:35,99.35
3790 | 2019/5/17 8:40,99.46
3791 | 2019/5/17 8:45,99.38
3792 | 2019/5/17 8:50,99.3
3793 | 2019/5/17 8:55,99.3
3794 | 2019/5/17 9:00,99.24
3795 | 2019/5/17 9:05,99.34
3796 | 2019/5/17 9:10,99.27
3797 | 2019/5/17 9:15,99.29
3798 | 2019/5/17 9:20,99.3
3799 | 2019/5/17 9:25,99.33
3800 | 2019/5/17 9:30,99.4
3801 | 2019/5/17 9:35,99.24
3802 | 2019/5/17 9:40,99.24
3803 | 2019/5/17 9:45,99.3
3804 | 2019/5/17 9:50,99.32
3805 | 2019/5/17 9:55,99.44
3806 | 2019/5/17 10:00,99.27
3807 | 2019/5/17 10:05,99.32
3808 | 2019/5/17 10:10,99.46
3809 | 2019/5/17 10:15,99.21
3810 | 2019/5/17 10:20,99.16
3811 | 2019/5/17 10:25,99.32
3812 | 2019/5/17 10:30,99.44
3813 | 2019/5/17 10:35,99.21
3814 | 2019/5/17 10:40,99.4
3815 | 2019/5/17 10:45,99.24
3816 | 2019/5/17 10:50,99.33
3817 | 2019/5/17 10:55,99.37
3818 | 2019/5/17 11:00,99.35
3819 | 2019/5/17 11:05,99.35
3820 | 2019/5/17 11:10,99.21
3821 | 2019/5/17 11:15,99.26
3822 | 2019/5/17 11:20,99.3
3823 | 2019/5/17 11:25,99.29
3824 | 2019/5/17 11:30,99.27
3825 | 2019/5/17 11:35,99.37
3826 | 2019/5/17 11:40,99.32
3827 | 2019/5/17 11:45,99.4
3828 | 2019/5/17 11:50,99.26
3829 | 2019/5/17 11:55,99.33
3830 | 2019/5/17 12:00,99.3
3831 | 2019/5/17 12:05,99.35
3832 | 2019/5/17 12:10,99.35
3833 | 2019/5/17 12:15,99.32
3834 | 2019/5/17 12:20,99.23
3835 | 2019/5/17 12:25,99.21
3836 | 2019/5/17 12:30,99.27
3837 | 2019/5/17 12:35,99.33
3838 | 2019/5/17 12:40,99.41
3839 | 2019/5/17 12:45,99.33
3840 | 2019/5/17 12:50,99.16
3841 | 2019/5/17 12:55,99.16
3842 | 2019/5/17 13:00,99.44
3843 | 2019/5/17 13:05,99.35
3844 | 2019/5/17 13:10,99.26
3845 | 2019/5/17 13:15,99.2
3846 | 2019/5/17 13:20,99.4
3847 | 2019/5/17 13:25,99.33
3848 | 2019/5/17 13:30,99.24
3849 | 2019/5/17 13:35,99.32
3850 | 2019/5/17 13:40,99.27
3851 | 2019/5/17 13:45,99.33
3852 | 2019/5/17 13:50,99.33
3853 | 2019/5/17 13:55,99.3
3854 | 2019/5/17 14:00,99.27
3855 | 2019/5/17 14:05,99.41
3856 | 2019/5/17 14:10,99.3
3857 | 2019/5/17 14:15,99.26
3858 | 2019/5/17 14:20,99.24
3859 | 2019/5/17 14:25,99.2
3860 | 2019/5/17 14:30,99.41
3861 | 2019/5/17 14:35,99.43
3862 | 2019/5/17 14:40,99.24
3863 | 2019/5/17 14:45,99.33
3864 | 2019/5/17 14:50,99.4
3865 | 2019/5/17 14:55,99.27
3866 | 2019/5/17 15:00,99.27
3867 | 2019/5/17 15:05,99.33
3868 | 2019/5/17 15:10,99.29
3869 | 2019/5/17 15:15,99.32
3870 | 2019/5/17 15:20,99.4
3871 | 2019/5/17 15:25,99.24
3872 | 2019/5/17 15:30,99.33
3873 | 2019/5/17 15:35,99.32
3874 | 2019/5/17 15:40,99.35
3875 | 2019/5/17 15:45,99.27
3876 | 2019/5/17 15:50,99.27
3877 | 2019/5/17 15:55,99.35
3878 | 2019/5/17 16:00,99.23
3879 | 2019/5/17 16:05,99.24
3880 | 2019/5/17 16:10,99.3
3881 | 2019/5/17 16:15,99.33
3882 | 2019/5/17 16:20,99.21
3883 | 2019/5/17 16:25,99.43
3884 | 2019/5/17 16:30,99.24
3885 | 2019/5/17 16:35,99.26
3886 | 2019/5/17 16:40,99.32
3887 | 2019/5/17 16:45,99.21
3888 | 2019/5/17 16:50,99.32
3889 | 2019/5/17 16:55,99.33
3890 | 2019/5/17 17:00,99.18
3891 | 2019/5/17 17:05,99.26
3892 | 2019/5/17 17:10,99.32
3893 | 2019/5/17 17:15,99.3
3894 | 2019/5/17 17:20,99.32
3895 | 2019/5/17 17:25,99.26
3896 | 2019/5/17 17:30,99.32
3897 | 2019/5/17 17:35,99.23
3898 | 2019/5/17 17:40,99.37
3899 | 2019/5/17 17:45,99.38
3900 | 2019/5/17 17:50,99.37
3901 | 2019/5/17 17:55,99.38
3902 | 2019/5/17 18:00,99.46
3903 | 2019/5/17 18:05,99.33
3904 | 2019/5/17 18:10,99.41
3905 | 2019/5/17 18:15,99.23
3906 | 2019/5/17 18:20,99.41
3907 | 2019/5/17 18:25,99.3
3908 | 2019/5/17 18:30,99.33
3909 | 2019/5/17 18:35,99.38
3910 | 2019/5/17 18:40,99.18
3911 | 2019/5/17 18:45,99.43
3912 | 2019/5/17 18:50,99.29
3913 | 2019/5/17 18:55,99.4
3914 | 2019/5/17 19:00,99.32
3915 | 2019/5/17 19:05,99.26
3916 | 2019/5/17 19:10,99.3
3917 | 2019/5/17 19:15,99.33
3918 | 2019/5/17 19:20,99.44
3919 | 2019/5/17 19:25,99.41
3920 | 2019/5/17 19:30,99.37
3921 | 2019/5/17 19:35,99.3
3922 | 2019/5/17 19:40,99.46
3923 | 2019/5/17 19:45,99.32
3924 | 2019/5/17 19:50,99.26
3925 | 2019/5/17 19:55,99.32
3926 | 2019/5/17 20:00,99.18
3927 | 2019/5/17 20:05,99.12
3928 | 2019/5/17 20:10,99.15
3929 | 2019/5/17 20:15,99.21
3930 | 2019/5/17 20:20,99.26
3931 | 2019/5/17 20:25,99.29
3932 | 2019/5/17 20:30,99.24
3933 | 2019/5/17 20:35,99.3
3934 | 2019/5/17 20:40,99.38
3935 | 2019/5/17 20:45,99.32
3936 | 2019/5/17 20:50,99.21
3937 | 2019/5/17 20:55,99.32
3938 | 2019/5/17 21:00,99.24
3939 | 2019/5/17 21:05,99.26
3940 | 2019/5/17 21:10,99.27
3941 | 2019/5/17 21:15,99.26
3942 | 2019/5/17 21:20,99.3
3943 | 2019/5/17 21:25,99.24
3944 | 2019/5/17 21:30,99.29
3945 | 2019/5/17 21:35,99.18
3946 | 2019/5/17 21:40,99.33
3947 | 2019/5/17 21:45,99.26
3948 | 2019/5/17 21:50,99.23
3949 | 2019/5/17 21:55,99.27
3950 | 2019/5/17 22:00,99.32
3951 | 2019/5/17 22:05,99.18
3952 | 2019/5/17 22:10,99.18
3953 | 2019/5/17 22:15,99.26
3954 | 2019/5/17 22:20,99.32
3955 | 2019/5/17 22:25,99.23
3956 | 2019/5/17 22:30,99.35
3957 | 2019/5/17 22:35,99.29
3958 | 2019/5/17 22:40,99.35
3959 | 2019/5/17 22:45,99.2
3960 | 2019/5/17 22:50,99.29
3961 | 2019/5/17 22:55,99.27
3962 | 2019/5/17 23:00,99.38
3963 | 2019/5/17 23:05,99.3
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3965 | 2019/5/17 23:15,99.33
3966 | 2019/5/17 23:20,99.24
3967 | 2019/5/17 23:25,99.35
3968 | 2019/5/17 23:30,99.27
3969 | 2019/5/17 23:35,99.32
3970 | 2019/5/17 23:40,99.3
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3972 | 2019/5/17 23:50,99.43
3973 | 2019/5/17 23:55,99.23
3974 | 2019/5/18 0:05,99.41
3975 | 2019/5/18 0:10,99.35
3976 | 2019/5/18 0:15,99.33
3977 | 2019/5/18 0:20,99.2
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3985 | 2019/5/18 1:00,99.35
3986 | 2019/5/18 1:05,99.27
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3988 | 2019/5/18 1:15,99.24
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3992 | 2019/5/18 1:35,99.3
3993 | 2019/5/18 1:40,99.27
3994 | 2019/5/18 1:45,99.3
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4002 | 2019/5/18 2:25,99.37
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4008 | 2019/5/18 2:55,99.33
4009 | 2019/5/18 3:00,99.29
4010 | 2019/5/18 3:05,99.37
4011 | 2019/5/18 3:10,99.44
4012 | 2019/5/18 3:15,99.33
4013 | 2019/5/18 3:20,99.23
4014 | 2019/5/18 3:25,99.23
4015 | 2019/5/18 3:30,99.26
4016 | 2019/5/18 3:35,99.26
4017 | 2019/5/18 3:40,99.38
4018 | 2019/5/18 3:45,99.2
4019 | 2019/5/18 3:50,99.3
4020 | 2019/5/18 3:55,99.29
4021 | 2019/5/18 4:00,99.29
4022 | 2019/5/18 4:05,99.3
4023 | 2019/5/18 4:10,99.33
4024 | 2019/5/18 4:15,99.44
4025 | 2019/5/18 4:20,99.3
4026 | 2019/5/18 4:25,99.34
4027 | 2019/5/18 4:30,99.29
4028 | 2019/5/18 4:35,99.29
4029 | 2019/5/18 4:40,99.24
4030 | 2019/5/18 4:45,99.49
4031 | 2019/5/18 4:50,99.3
4032 | 2019/5/18 4:55,99.3
4033 | 2019/5/18 5:00,99.24
4034 | 2019/5/18 5:05,99.33
4035 | 2019/5/18 5:10,99.27
4036 | 2019/5/18 5:15,99.21
4037 | 2019/5/18 5:20,99.2
4038 | 2019/5/18 5:25,99.23
4039 | 2019/5/18 5:30,99.4
4040 | 2019/5/18 5:35,99.37
4041 | 2019/5/18 5:40,99.29
4042 | 2019/5/18 5:45,99.3
4043 | 2019/5/18 5:50,99.38
4044 | 2019/5/18 5:55,99.27
4045 | 2019/5/18 6:00,99.27
4046 | 2019/5/18 6:05,99.38
4047 | 2019/5/18 6:10,99.24
4048 | 2019/5/18 6:15,99.4
4049 | 2019/5/18 6:20,99.23
4050 | 2019/5/18 6:25,99.32
4051 | 2019/5/18 6:30,99.32
4052 | 2019/5/18 6:35,99.38
4053 | 2019/5/18 6:40,99.32
4054 | 2019/5/18 6:45,99.29
4055 | 2019/5/18 6:50,99.29
4056 | 2019/5/18 6:55,99.29
4057 | 2019/5/18 7:00,99.41
4058 | 2019/5/18 7:05,99.16
4059 | 2019/5/18 7:10,99.27
4060 | 2019/5/18 7:15,99.41
4061 | 2019/5/18 7:20,99.37
4062 | 2019/5/18 7:25,99.33
4063 | 2019/5/18 7:30,99.32
4064 | 2019/5/18 7:35,99.26
4065 | 2019/5/18 7:40,99.32
4066 | 2019/5/18 7:45,99.35
4067 | 2019/5/18 7:50,99.27
4068 | 2019/5/18 7:55,99.32
4069 | 2019/5/18 8:00,99.41
4070 | 2019/5/18 8:05,99.21
4071 | 2019/5/18 8:10,99.26
4072 | 2019/5/18 8:15,99.24
4073 | 2019/5/18 8:20,99.27
4074 | 2019/5/18 8:25,99.35
4075 | 2019/5/18 8:30,99.37
4076 | 2019/5/18 8:35,99.32
4077 | 2019/5/18 8:40,99.26
4078 | 2019/5/18 8:45,99.27
4079 | 2019/5/18 8:50,99.37
4080 | 2019/5/18 8:55,99.27
4081 | 2019/5/18 9:00,99.24
4082 | 2019/5/18 9:05,99.38
4083 | 2019/5/18 9:10,99.3
4084 | 2019/5/18 9:15,99.38
4085 | 2019/5/18 9:20,99.36
4086 | 2019/5/18 9:25,99.2
4087 | 2019/5/18 9:30,99.16
4088 | 2019/5/18 9:35,99.38
4089 | 2019/5/18 9:40,99.26
4090 | 2019/5/18 9:45,99.37
4091 | 2019/5/18 9:50,99.32
4092 | 2019/5/18 9:55,99.24
4093 | 2019/5/18 10:00,99.37
4094 | 2019/5/18 10:05,99.37
4095 | 2019/5/18 10:10,99.27
4096 | 2019/5/18 10:15,99.35
4097 | 2019/5/18 10:20,99.38
4098 | 2019/5/18 10:25,99.29
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4100 | 2019/5/18 10:35,99.38
4101 | 2019/5/18 10:40,99.41
4102 | 2019/5/18 10:45,99.26
4103 | 2019/5/18 10:50,99.06
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4110 | 2019/5/18 11:25,99.33
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4112 | 2019/5/18 11:35,99.21
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4116 | 2019/5/18 11:55,99.29
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4119 | 2019/5/18 12:10,99.32
4120 | 2019/5/18 12:15,99.3
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4123 | 2019/5/18 12:30,99.3
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4126 | 2019/5/18 12:45,99.4
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4128 | 2019/5/18 12:55,99.38
4129 | 2019/5/18 13:00,99.27
4130 | 2019/5/18 13:05,99.37
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4139 | 2019/5/18 13:50,99.38
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4142 | 2019/5/18 14:05,99.32
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4151 | 2019/5/18 14:50,99.41
4152 | 2019/5/18 14:55,99.21
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4155 | 2019/5/18 15:10,99.35
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4172 | 2019/5/18 16:35,99.35
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4177 | 2019/5/18 17:00,99.46
4178 | 2019/5/18 17:05,99.2
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4180 | 2019/5/18 17:15,99.23
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4182 | 2019/5/18 17:25,99.33
4183 | 2019/5/18 17:30,99.27
4184 | 2019/5/18 17:35,99.29
4185 | 2019/5/18 17:40,99.37
4186 | 2019/5/18 17:45,99.27
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4188 | 2019/5/18 17:55,99.32
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4190 | 2019/5/18 18:05,99.27
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4192 | 2019/5/18 18:15,99.21
4193 | 2019/5/18 18:20,99.12
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4196 | 2019/5/18 18:35,99.35
4197 | 2019/5/18 18:40,99.23
4198 | 2019/5/18 18:45,99.23
4199 | 2019/5/18 18:50,99.29
4200 | 2019/5/18 18:55,99.29
4201 | 2019/5/18 19:00,99.2
4202 | 2019/5/18 19:05,99.24
4203 | 2019/5/18 19:10,99.17
4204 | 2019/5/18 19:15,99.3
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4206 | 2019/5/18 19:25,99.32
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4208 | 2019/5/18 19:35,99.26
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4211 | 2019/5/18 19:50,99.37
4212 | 2019/5/18 19:55,99.24
4213 | 2019/5/18 20:00,99.35
4214 | 2019/5/18 20:05,99.33
4215 | 2019/5/18 20:10,97.65
4216 | 2019/5/18 20:15,99.27
4217 | 2019/5/18 20:20,99.41
4218 | 2019/5/18 20:25,99.32
4219 | 2019/5/18 20:30,99.38
4220 | 2019/5/18 20:35,99.33
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4224 | 2019/5/18 20:55,99.33
4225 | 2019/5/18 21:00,99.3
4226 | 2019/5/18 21:05,99.32
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4230 | 2019/5/18 21:25,99.33
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4232 | 2019/5/18 21:35,99.43
4233 | 2019/5/18 21:40,99.26
4234 | 2019/5/18 21:45,99.2
4235 | 2019/5/18 21:50,99.24
4236 | 2019/5/18 21:55,99.41
4237 | 2019/5/18 22:00,99.29
4238 | 2019/5/18 22:05,99.29
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4240 | 2019/5/18 22:15,99.33
4241 | 2019/5/18 22:20,99.41
4242 | 2019/5/18 22:25,99.27
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4244 | 2019/5/18 22:35,99.37
4245 | 2019/5/18 22:40,99.29
4246 | 2019/5/18 22:45,99.29
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4249 | 2019/5/18 23:00,99.29
4250 | 2019/5/18 23:05,99.26
4251 | 2019/5/18 23:10,99.3
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4254 | 2019/5/18 23:25,99.29
4255 | 2019/5/18 23:30,99.24
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4260 | 2019/5/18 23:55,99.33
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4266 | 2019/5/19 0:30,99.26
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4272 | 2019/5/19 1:00,99.33
4273 | 2019/5/19 1:05,99.36
4274 | 2019/5/19 1:10,99.3
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4278 | 2019/5/19 1:30,99.27
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4280 | 2019/5/19 1:40,99.13
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4285 | 2019/5/19 2:05,99.41
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4289 | 2019/5/19 2:25,99.38
4290 | 2019/5/19 2:30,99.32
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4294 | 2019/5/19 2:50,99.27
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4296 | 2019/5/19 3:00,99.29
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4298 | 2019/5/19 3:10,99.21
4299 | 2019/5/19 3:15,99.29
4300 | 2019/5/19 3:20,99.3
4301 | 2019/5/19 3:25,99.26
4302 | 2019/5/19 3:30,99.29
4303 | 2019/5/19 3:35,99.38
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4306 | 2019/5/19 3:50,99.32
4307 | 2019/5/19 3:55,99.29
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4310 | 2019/5/19 4:10,99.47
4311 | 2019/5/19 4:15,99.36
4312 | 2019/5/19 4:20,99.32
4313 | 2019/5/19 4:25,99.38
4314 | 2019/5/19 4:30,99.32
4315 | 2019/5/19 4:35,99.29
4316 | 2019/5/19 4:40,99.27
4317 | 2019/5/19 4:45,99.18
4318 | 2019/5/19 4:50,99.37
4319 | 2019/5/19 4:55,99.24
4320 | 2019/5/19 5:00,99.3
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4330 | 2019/5/19 5:50,99.33
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4332 | 2019/5/19 6:00,99.35
4333 | 2019/5/19 6:05,99.35
4334 | 2019/5/19 6:10,99.27
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4336 | 2019/5/19 6:20,99.38
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4338 | 2019/5/19 6:30,99.33
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4340 | 2019/5/19 6:40,99.3
4341 | 2019/5/19 6:45,99.26
4342 | 2019/5/19 6:50,99.27
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4344 | 2019/5/19 7:00,99.32
4345 | 2019/5/19 7:05,99.35
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4350 | 2019/5/19 7:30,99.44
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4354 | 2019/5/19 7:50,99.23
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4360 | 2019/5/19 8:20,99.33
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4364 | 2019/5/19 8:40,99.26
4365 | 2019/5/19 8:45,99.27
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4367 | 2019/5/19 8:55,99.2
4368 | 2019/5/19 9:00,99.32
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4373 | 2019/5/19 9:25,99.3
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4375 | 2019/5/19 9:35,99.26
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4380 | 2019/5/19 10:05,99.3
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4386 | 2019/5/19 10:35,99.37
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4399 | 2019/5/19 11:40,99.26
4400 | 2019/5/19 11:45,99.3
4401 | 2019/5/19 11:50,99.3
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4410 | 2019/5/19 12:35,99.29
4411 | 2019/5/19 12:40,99.26
4412 | 2019/5/19 12:45,99.3
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4415 | 2019/5/19 13:00,99.27
4416 | 2019/5/19 13:05,99.49
4417 | 2019/5/19 13:10,99.27
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4419 | 2019/5/19 13:20,99.24
4420 | 2019/5/19 13:25,99.38
4421 | 2019/5/19 13:30,99.35
4422 | 2019/5/19 13:35,99.32
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4424 | 2019/5/19 13:45,99.35
4425 | 2019/5/19 13:50,99.33
4426 | 2019/5/19 13:55,99.3
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4428 | 2019/5/19 14:05,99.27
4429 | 2019/5/19 14:10,99.32
4430 | 2019/5/19 14:15,99.3
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4432 | 2019/5/19 14:25,99.29
4433 | 2019/5/19 14:30,99.33
4434 | 2019/5/19 14:35,99.21
4435 | 2019/5/19 14:40,99.32
4436 | 2019/5/19 14:45,99.33
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4438 | 2019/5/19 14:55,99.24
4439 | 2019/5/19 15:00,99.3
4440 | 2019/5/19 15:05,99.27
4441 | 2019/5/19 15:10,99.43
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4444 | 2019/5/19 15:25,99.21
4445 | 2019/5/19 15:30,99.29
4446 | 2019/5/19 15:35,99.4
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4448 | 2019/5/19 15:45,99.33
4449 | 2019/5/19 15:50,99.36
4450 | 2019/5/19 15:55,99.3
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4460 | 2019/5/19 16:45,99.23
4461 | 2019/5/19 16:50,99.3
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4463 | 2019/5/19 17:00,99.37
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4467 | 2019/5/19 17:20,99.37
4468 | 2019/5/19 17:25,99.33
4469 | 2019/5/19 17:30,99.21
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4471 | 2019/5/19 17:40,99.26
4472 | 2019/5/19 17:45,99.27
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4474 | 2019/5/19 17:55,99.49
4475 | 2019/5/19 18:00,99.29
4476 | 2019/5/19 18:05,99.27
4477 | 2019/5/19 18:10,99.29
4478 | 2019/5/19 18:15,99.3
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4481 | 2019/5/19 18:30,99.29
4482 | 2019/5/19 18:35,99.29
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4484 | 2019/5/19 18:45,99.29
4485 | 2019/5/19 18:50,99.3
4486 | 2019/5/19 18:55,99.32
4487 | 2019/5/19 19:00,99.29
4488 | 2019/5/19 19:05,99.37
4489 | 2019/5/19 19:10,99.4
4490 | 2019/5/19 19:15,99.38
4491 | 2019/5/19 19:20,99.29
4492 | 2019/5/19 19:25,99.26
4493 | 2019/5/19 19:30,99.43
4494 | 2019/5/19 19:35,99.37
4495 | 2019/5/19 19:40,99.21
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/examples/check_flow_anomaly_detection.py:
--------------------------------------------------------------------------------
 1 | # encoding: utf-8
 2 | """
 3 | @author: lee
 4 | @time: 2021/4/6 16:03
 5 | @file: check_flow_anomaly_detection.py
 6 | @desc: 
 7 | """
 8 | import math
 9 | import time
10 | 
11 | import numpy
12 | 
13 | import matplotlib.pylab as plt
14 | import pandas as pd
15 | from sklearn import linear_model
16 | from statsmodels.distributions import ECDF
17 | 
18 | from aiops.util.common_util import find_nearest
19 | 
20 | 
21 | def data_equalization(data_frame, windows, length):
22 |     start = int(-windows)
23 |     end = 0
24 |     pre_y_list = numpy.array([])
25 |     while end < length:
26 |         start = start + windows
27 |         end = start + windows - 1
28 |         data = data_frame.loc[start:end]
29 |         pre_y = model_build(data)
30 |         pre_y_list = numpy.append(pre_y_list, pre_y)
31 |     return pre_y_list
32 | 
33 | 
34 | def model_build(data_frame):
35 |     X = data_frame['date'].values.reshape(-1, 1)
36 |     y = data_frame['count'].values
37 | 
38 |     # 使用RANSAC清除异常值高鲁棒对的线性回归模型
39 |     model = linear_model.RANSACRegressor()
40 |     # model = linear_model.LinearRegression()
41 | 
42 |     model.fit(X, y)
43 |     pre_y = model.predict(X)
44 |     plt.plot(X, pre_y, color='red')
45 |     return pre_y
46 | 
47 | 
48 | if __name__ == '__main__':
49 |     # sudden_drop.csv demo.csv
50 |     # df = pd.read_csv('../data/sudden_drop.csv')
51 |     df = pd.read_csv('../data/sudden_rise.csv')
52 |     df['date'] = pd.to_datetime(df['date'])
53 |     df['date'] = df['date'].astype('int64') // 1e9
54 |     pre_y_list = data_equalization(df, 30, len(df))
55 |     X = df['date'].values
56 |     y = df['count'].values
57 |     plt.subplot(311)
58 |     plt.plot(X, y)
59 | 
60 |     z = (y - pre_y_list) / (numpy.sqrt(pre_y_list))
61 |     z = -z
62 |     ecdf = ECDF(z)
63 |     # y_index = numpy.where(ecdf.y == 0.1)
64 |     y_index, find_y_value = find_nearest(ecdf.y, 0.1)
65 |     threshold = ecdf.x[y_index] * 3  # 乘以补偿系数
66 | 
67 |     choose_z_index = numpy.where(z <= threshold)  # 找到小于阈值的index
68 | 
69 |     print(X[choose_z_index])
70 |     print(numpy.asarray(X[choose_z_index], dtype='datetime64[s]'))
71 | 
72 |     plt.subplot(312)
73 |     plt.plot(X, z)
74 |     plt.axhline(y=threshold, ls="-", c="red")
75 | 
76 |     plt.subplot(313)
77 |     plt.plot(ecdf.x, ecdf.y)
78 |     plt.axhline(y=0.1, ls="-", c="red")
79 |     plt.show()
80 | 


--------------------------------------------------------------------------------
/examples/check_stable_anomaly_detection.py:
--------------------------------------------------------------------------------
 1 | # encoding: utf-8
 2 | """
 3 | @author: lee
 4 | @time: 2021/4/6 16:03
 5 | @desc: 
 6 | """
 7 | import math
 8 | import time
 9 | 
10 | import numpy as np
11 | 
12 | import matplotlib.pylab as plt
13 | import pandas as pd
14 | from sklearn import linear_model
15 | from statsmodels.distributions import ECDF
16 | 
17 | from aiops.util.common_util import find_nearest
18 | 
19 | 
20 | def moving_average(x, w):
21 |     return np.convolve(x, np.ones(w), 'valid') / w
22 | 
23 | 
24 | if __name__ == '__main__':
25 |     # sudden_drop.csv demo.csv
26 |     df = pd.read_csv('../data/stable_anomaly.csv')
27 |     df['date'] = pd.to_datetime(df['date'])
28 |     df['date'] = df['date'].astype('int64') // 1e9
29 | 
30 |     X = df['date'].values
31 |     y = df['count'].values
32 |     plt.subplot(311)
33 |     plt.plot(X, y)
34 | 
35 |     # z = (y - pre_y_list) / (np.sqrt(pre_y_list))
36 |     z = y
37 |     ecdf = ECDF(z)
38 |     # y_index = np.where(ecdf.y == 0.1)
39 |     find_y_index, find_y_value = find_nearest(ecdf.y, 0.1)
40 |     print(find_y_index, find_y_value)
41 |     threshold = ecdf.x[find_y_index] * 6  # 乘以补偿系数
42 |     print(threshold)
43 | 
44 |     # 累积法：一段时间窗口内数据的均值超过阈值触发才算异常
45 |     windows = 3
46 |     z = np.append(z[:windows - 1], moving_average(z, windows))
47 | 
48 |     choose_z_index = np.where(z >= threshold)  # 找到小于阈值的index
49 | 
50 |     print(X[choose_z_index])
51 | 
52 |     plt.subplot(312)
53 |     plt.plot(X, z)
54 |     plt.axhline(y=threshold, ls="-", c="red")
55 | 
56 |     plt.subplot(313)
57 |     plt.plot(ecdf.x, ecdf.y)
58 |     plt.axhline(y=0.1, ls="-", c="red")
59 |     plt.show()
60 | 


--------------------------------------------------------------------------------
/examples/data_classification_tree.py:
--------------------------------------------------------------------------------
 1 | # encoding: utf-8
 2 | """
 3 | @author: lee
 4 | @time: 2021/3/19 15:51
 5 | @file: data_classification_tree.py
 6 | @desc: 
 7 | """
 8 | import pandas as pd
 9 | 
10 | from aiops.util.time_series_tool import data_classification_tree
11 | 
12 | if __name__ == '__main__':
13 |     # 周期数据
14 |     df = pd.read_csv('../data/api_access_fix.csv')
15 |     data = df['count'].values
16 |     print(data_classification_tree(data))
17 | 
18 |     # 平稳数据
19 |     df = pd.read_csv('../data/stable.csv')
20 |     data = df['count'].values
21 |     print(data_classification_tree(data))
22 | 
23 |     # 非周期数据
24 |     df = pd.read_csv('../data/aperiodic.csv')
25 |     data = df['count'].values
26 |     print(data_classification_tree(data))
27 | 


--------------------------------------------------------------------------------
/examples/is_periodicity.py:
--------------------------------------------------------------------------------
 1 | # encoding: utf-8
 2 | """
 3 | @author: lee
 4 | @time: 2021/3/19 13:55
 5 | @file: is_periodicity.py
 6 | @desc: 
 7 | """
 8 | import pandas as pd
 9 | 
10 | from aiops.util.time_series_tool import is_periodicity
11 | 
12 | if __name__ == '__main__':
13 |     # 周期数据
14 |     df = pd.read_csv('../data/api_access_fix.csv')
15 |     data = df['count'].values
16 |     is_cycle, cycles = is_periodicity(data, True)
17 |     print("是否周期：%s，可能周期：%s" % (is_cycle, cycles))
18 | 
19 |     # 平稳数据
20 |     df = pd.read_csv('../data/stable.csv')
21 |     data = df['count'].values
22 |     is_cycle, cycles = is_periodicity(data)
23 |     print("是否周期：%s，可能周期：%s" % (is_cycle, cycles))
24 | 
25 | 


--------------------------------------------------------------------------------
/examples/is_stable.py:
--------------------------------------------------------------------------------
 1 | # encoding: utf-8
 2 | """
 3 | @author: lee
 4 | @time: 2021/3/18 16:41
 5 | @file: is_stable.py
 6 | @desc: 
 7 | """
 8 | import pandas as pd
 9 | 
10 | from aiops.util.time_series_tool import is_stable
11 | 
12 | if __name__ == '__main__':
13 |     # 平稳数据
14 |     df = pd.read_csv('../data/stable.csv')
15 |     data = df['count'].values
16 |     print(is_stable(data, 1.1, True))
17 | 
18 |     # 周期性数据
19 |     df = pd.read_csv('../data/api_access_fix.csv')
20 |     data = df['count'].values
21 |     print(is_stable(data, 1.1, True))
22 | 


--------------------------------------------------------------------------------
/examples/kde_transformation.py:
--------------------------------------------------------------------------------
 1 | # encoding: utf-8
 2 | """
 3 | @author: lee
 4 | @time: 2021/6/16 9:49
 5 | @file: kde_transformation.py
 6 | @desc: 
 7 | """
 8 | import math
 9 | 
10 | import numpy as np
11 | 
12 | 
13 | def get_kde(x, data_array, bandwidth=0.1):
14 |     def gauss(x):
15 |         import math
16 |         return (1 / math.sqrt(2 * math.pi)) * math.exp(-0.5 * (x ** 2))
17 | 
18 |     N = len(data_array)
19 |     res = 0
20 |     if len(data_array) == 0:
21 |         return 0
22 |     for i in range(len(data_array)):
23 |         res += gauss((x - data_array[i]) / bandwidth)
24 |     res /= (N * bandwidth)
25 |     return res
26 | 
27 | 
28 | if __name__ == '__main__':
29 |     train_data = np.array([22.22, 20.11, 40.23, 30.45, 13.53, 22.25, 11.91, 21.74, 17.54, 22.65])
30 |     N = len(train_data)
31 |     h = 1.06 * np.std(train_data) * N ** (-1 / 5)
32 |     check_data = np.array([80, 33.11])
33 |     y_array = [-math.log(get_kde(check_data[i], train_data, h)) for i in range(check_data.shape[0])]
34 |     max_index = np.argmax(y_array)
35 |     print("异常程度:%s,对应的值:%s" % (y_array[max_index], check_data[max_index]))
36 | 


--------------------------------------------------------------------------------
/examples/root_cause_detection.py:
--------------------------------------------------------------------------------
 1 | # encoding: utf-8
 2 | """
 3 | @author: lee
 4 | @time: 2021/6/16 9:59
 5 | @file: root_cause_detection.py
 6 | @desc: 
 7 | """
 8 | from aiops.root_cause.RCA import RCA
 9 | import pandas as pd
10 | 
11 | if __name__ == '__main__':
12 |     trace_data = pd.read_csv(".././data/process_trace.csv", index_col=False)
13 |     rca_temp = RCA(trace_data=trace_data, alpha=0.99, ub=0.1)
14 |     rca_temp.run()
15 | 


--------------------------------------------------------------------------------