Історичний ескудо Кабо-Верде / німецька марка

Історія денної ставки CVE /DEM з неділя, 15 листопад 2015.

Максимально було досягнуто

1 ескудо Кабо-Верде = 0.028914 німецька марка

мінімум на

1 ескудо Кабо-Верде = 0.006939 німецька марка

Історія Ціна DEM / CVE

Date CVE/DEM
0.017761
0.017726
0.017741
0.017742
0.017714
0.017766
0.017706
0.017721
0.017749
0.017684
0.017700
0.017721
0.017725
0.017706
0.017644
0.017676
0.017746
0.017687
0.017669
0.017647
0.017863
0.017743
0.017749
0.017642
0.017773
0.017739
0.017727
0.017727
0.017687
0.017627
0.017676
0.017707
0.017690
0.017732
0.017731
0.017730
0.017697
0.017709
0.017686
0.017728
0.017752
0.017671
0.017693
0.017687
0.017662
0.017657
0.017753
0.017861
0.017757
0.017706
0.017736
0.017858
0.017678
0.017728
0.017721
0.017633
0.017580
0.017748
0.017704
0.017691
0.017729
0.017808
0.017674
0.017651
0.017644
0.017553
0.017818
0.017799
0.017739
0.017747
0.017690
0.017714
0.017612
0.017724
0.017731
0.017714
0.017609
0.017867
0.017566
0.017603
0.017700
0.017821
0.017709
0.017705
0.017734
0.017738
0.017739
0.017701
0.017734
0.017751
0.017711
0.017745
0.017755
0.017708
0.017777
0.017744
0.017691
0.017739
0.017735
0.017707
0.017652
0.017696
0.017730
0.017760
0.017733
0.017725
0.017731
0.017677
0.017700
0.017671
0.017706
0.017635
0.017739
0.017737
0.017706
0.017739
0.017703
0.017706
0.017769
0.017736
0.017735
0.017696
0.017736
0.017653
0.017714
0.017715
0.017743
0.017736
0.017740
0.017728
0.017737
0.017756
0.017711
0.017752
0.017717
0.017685
0.017691
0.017759
0.017699
0.017657
0.017689
0.017740
0.017674
0.017656
0.017680
0.017657
0.017828
0.017737
0.017700
0.017724
0.017748
0.017713
0.017713
0.017712
0.017700
0.017791
0.017798
0.017733
0.017655
0.017700
0.017680
0.017709
0.017571
0.017739
0.017754
0.017715
0.017712
0.017705
0.017717
0.017727
0.017817
0.017636
0.017616
0.017655
0.017737
0.017646
0.017742
0.017765
0.017709
0.017732
0.017584
0.017749
0.017674
0.017690
0.017787
0.017826
0.017868
0.017653
0.017569
0.017518
0.016927
0.017644
0.017633
0.017643
0.017691
0.017912
0.017619
0.017596
0.017821
0.017649
0.017853
0.017716
0.017708
0.017700
0.017733
0.017672
0.017981
0.017732
0.017716
0.017590
0.017839
0.017699
0.017567
0.017683
0.017621
0.017655
0.017698
0.017803
0.017709
0.017718
0.017702
0.017688
0.017701
0.017819
0.017645
0.017615
0.017625
0.017726
0.017596
0.017681
0.017670
0.017670
0.017657
0.017687
0.017645
0.017687
0.017761
0.017674
0.017619
0.017678
0.017662
0.017699
0.017664
0.017677
0.017677
0.017681
0.017695
0.017738
0.017660
0.017756
0.017782
0.017664
0.017579
0.017692
0.017679
0.017639
0.017106
0.017661
0.017657
0.017669
0.017557
0.017674
0.017644
0.017674
0.017657
0.017695
0.017624
0.017674
0.017598
0.017670
0.028914
0.017679
0.017692
0.017625
0.017647
0.017708
0.017664
0.017622
0.017698
0.017646
0.017712
0.017703
0.017684
0.017652
0.017709
0.017760
0.017711
0.017627
0.017667
0.017676
0.017689
0.017587
0.017684
0.017640
0.017652
0.017632
0.017653
0.017727
0.017685
0.017899
0.017644
0.017672
0.017660
0.016560
0.017654
0.017668
0.017675
0.017704
0.017615
0.017555
0.017646
0.017675
0.017719
0.017648
0.017695
0.017673
0.017665
0.017699
0.017654
0.017665
0.017672
0.017641
0.017630
0.017642
0.017394
0.017691
0.017657
0.017688
0.017648
0.017687
0.017648
0.017662
0.017657
0.017673
0.017668
0.017590
0.017678
0.017631
0.017697
0.017671
0.017654
0.017686
0.017683
0.017680
0.017685
0.017736
0.017725
0.017736
0.017815
0.017739
0.017724
0.017680
0.017765
0.017714
0.017600
0.017683
0.017772
0.017742
0.017752
0.017751
0.017624
0.017733
0.017683
0.017580
0.017753
0.017651
0.017687
0.017657
0.017613
0.017688
0.017676
0.017672
0.017711
0.017705
0.017668
0.017674
0.017699
0.017649
0.017679
0.017753
0.017693
0.017696
0.017728
0.017663
0.017672
0.017626
0.017696
0.017660
0.017701
0.017672
0.017700
0.017665
0.017896
0.017665
0.017658
0.017678
0.017709
0.017706
0.017699
0.017676
0.017664
0.017674
0.017725
0.017648
0.017593
0.017645
0.017662
0.017663
0.017793
0.017666
0.017744
0.017661
0.017639
0.017645
0.017751
0.017666
0.017806
0.017667
0.017756
0.017721
0.017676
0.017701
0.017656
0.017657
0.017692
0.017681
0.017640
0.017661
0.017597
0.017764
0.017615
0.017721
0.017640
0.017672
0.017545
0.017674
0.017662
0.017639
0.017685
0.017688
0.017663
0.017690
0.017698
0.017672
0.017683
0.017709
0.017639
0.017792
0.017649
0.017669
0.017691
0.017626
0.017702
0.017679
0.017731
0.017666
0.017696
0.017689
0.017683
0.017747
0.017675
0.017688
0.017700
0.017665
0.017656
0.017769
0.017661
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738
0.017738