vs.
Most attempted to be trained units
95
22
21
20
16
120
10
6
3
3
92
53
26
10
10
126
123
17
5
4
163
19
10
6
6
76
30
26
9
7
Trade
1,500
1,000
100
1,000
2,000
eAPM
Timeline
0:00
1:00
2
2:00
3:00
4:00
5:00
2
6:00
5
2
2
4
7:00
15
8:00
9:00
10:00
11:00
12:00
10
2
13:00
14:00
10
6
15:00
4
16:00
2
2
17:00
10
6
5
5
4
18:00
5
5
5
5
3
19:00
5
5
20:00
3
21:00
5
7
2
22:00
15
5
5
5
3
23:00
10
5
5
2
4
4
3
3
24:00
3
3
2
25:00
25
5
5
5
5
5
5
2
2
26:00
5
2
0:00
2
1:00
2:00
2
3:00
4:00
5:00
6:00
7:00
4
8:00
2
2
9:00
6
10:00
5
2
2
11:00
3
2
12:00
7
3
13:00
17
2
2
14:00
15:00
10
16:00
3
17:00
2
18:00
10
2
2
19:00
5
20:00
20
2
21:00
40
2
22:00
5
3
23:00
25
5
24:00
20
25:00
5
26:00
0:00
3
1:00
2:00
3:00
2
4:00
2
5:00
6:00
2
7:00
8:00
2
2
2
9:00
4
8
10:00
5
3
11:00
5
3
12:00
10
5
5
13:00
2
5
2
14:00
5
15:00
15
16
16:00
2
17:00
10
5
5
3
2
2
2
18:00
10
5
19:00
15
10
2
2
20:00
15
10
5
2
2
21:00
10
22:00
10
5
5
23:00
5
2
2
24:00
5
25:00
5
2
26:00
10
BaiHu 1x
0:00
1:00
2:00
3:00
4:00
5:00
2
6:00
2
7:00
2
8:00
9:00
10
7
3
10:00
4
11:00
4
2
3
2
12:00
6
13:00
7
4
2
14:00
8
7
4
2
2
15:00
5
16:00
9
3
3
17:00
17
4
4
18:00
13
7
3
19:00
9
6
3
2
20:00
16
16
2
21:00
8
4
2
4
22:00
7
4
23:00
11
7
5
24:00
21
20
3
25:00
16
12
5
4
26:00
0:00
1:00
2:00
3:00
4:00
5:00
6:00
7:00
2
8:00
7
4
9:00
2
4
4
10:00
5
11:00
10
12:00
13
3
2
13:00
11
7
4
14:00
4
2
3
15:00
12
16:00
10
2
17:00
9
18:00
13
6
19:00
19
20:00
15
21:00
20
2
22:00
15
23:00
10
6
2
10
24:00
15
25:00
12
3
3
26:00
0:00
6
3
1:00
3
2:00
2
3:00
4
2
4:00
3
5:00
2
6:00
7:00
5
2
8:00
7
5
2
9:00
6
10:00
3
11:00
4
3
3
2
12:00
2
2
3
13:00
6
2
14:00
2
15:00
3
3
2
6
16:00
7
3
2
2
2
17:00
7
2
18:00
3
3
2
2
2
19:00
4
3
2
2
2
5
20:00
3
21:00
14
22:00
20
3
23:00
16
4
24:00
25:00
26:00