$3.31T
Marktkapitalisierung
$142.6B
24-Stunden-Volumen
BTC 56.58%     ETH 11.95%
Dominanz

Victorai by Virtuals Preisvorhersage - VCTRAI Prognose

$0.0001012 -3.8258%
Add to portfolio
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Sentiment
Bullisch 59.38%     
     Bärisch 40.63%
SMA 50
$0.000119
SMA 200
$0.000234
RSI (14)
54.67
Momentum (10)
0
MACD (12, 26)
0
Hull Moving Average (9)
0.000097
Kurs   Prognose

Victorai by Virtuals Preisvorhersage bis zu $0.0001043 im Jahr 2026

Jahr Min. Preis Max. Preis
2026 $0.000034 $0.0001043
2027 $0.000033 $0.000088
2028 $0.00006 $0.000148
2029 $0.000133 $0.000439
2030 $0.000113 $0.000328
2031 $0.000134 $0.000299
2032 $0.0002048 $0.000555
2033 $0.000475 $0.00148
2034 $0.000382 $0.000857
2035 $0.000452 $0.00101

Investitionsgewinnrechner

Wenn Sie heute einen Short über $10,000.00 in Victorai by Virtuals eröffnen und ihn am Apr 06, 2026 schließen, zeigt unsere Prognose, dass Sie etwa $3,963.05 Gewinn erzielen könnten, was einer Rendite von 39.63% in den nächsten 90 Tagen entspricht.

$
$3,963.05 (39.63% ROI)

Langfristige Victorai by Virtuals Preisprognose für 2027, 2028, 2029, 2030, 2031, 2032 und 2037

[
    
'name' => 'Victorai by Virtuals'
    'name_with_ticker' 
=> 'Victorai by Virtuals <small>VCTRAI</small>'
    'name_lang' 
=> 'Victorai by Virtuals'
    'name_lang_with_ticker' 
=> 'Victorai by Virtuals <small>VCTRAI</small>'
    'name_with_lang' 
=> 'Victorai by Virtuals'
    'name_with_lang_with_ticker' 
=> 'Victorai by Virtuals <small>VCTRAI</small>'
    'image' 
=> '/uploads/coins/victorai-by-virtuals.png?1737170483'
    'price_for_sd' 
=> 0.0001012
    
'ticker' => 'VCTRAI'
    'marketcap' 
=> '$101.21K'
    'low24h' 
=> '$0.00009979'
    'high24h' 
=> '$0.0001082'
    'volume24h' 
=> '$422.66'
    'current_supply' 
=> '1B'
    'max_supply' 
=> '1B'
    'algo' 
=> null
    
'proof' => null
    
'ico_price_and_roi' => '—'
    'price' 
=> '$0.0001012'
    'change_24h_pct' 
=> '-3.8258%'
    'ath_price' 
=> '$0.002125'
    'ath_days' 
=> 354
    
'ath_exchange' => null
    
'ath_pair' => null
    
'ath_date' => '17.01.2025'
    'ath_pct' 
=> '-95.15%'
    'fdv' 
=> '$101.21K'
    'new_prediction' 
=> true
    
'change_24h_pct_is_increased' => false
    
'change_30d_pct' => null
    
'change_30d_pct_is_increased' => false
    
'max_price' => '$0.00499'
    'max_price_year' 
=> 2037
    
'next_week_prediction_price' => '$0.000102'
    'next_week_prediction_price_date' 
=> '13. Januar 2026'
    'next_week_prediction_price_change_pct' 
=> '0.86%'
    'next_week_prediction_price_is_increased' 
=> true
    
'next_month_prediction_price' => '$0.0000894'
    'next_month_prediction_price_date' 
=> '5. Februar 2026'
    'next_month_prediction_price_change_pct' 
=> '-11.62%'
    'next_month_prediction_price_is_increased' 
=> false
    
'current_year' => '2026'
    'current_year_min_price_prediction' 
=> '$0.000034'
    'current_year_max_price_prediction' 
=> '$0.0001043'
    'current_year_max_price_prediction_is_increased' 
=> true
    
'grand_prediction_year' => 2030
    
'grand_prediction_min_price' => '$0.000113'
    'grand_prediction_max_price' 
=> '$0.000328'
    'grand_prediction_max_price_is_increased' 
=> true
    
'prediction_table' => [
        
=> [
            
'items' => [
                
106 => 0.00010312787626354
                107 
=> 0.00010351291831809
                108 
=> 0.00010438043772772
                109 
=> 9.6967579355381E-5
                110 
=> 0.00010029573513448
                111 
=> 0.00010225071484867
                112 
=> 9.3418045377173E-5
                113 
=> 0.00010207612137241
                114 
=> 9.683853798324E-5
                115 
=> 9.5060823515092E-5
                116 
=> 9.7454281850382E-5
                117 
=> 9.6521548809405E-5
                118 
=> 9.5719639712695E-5
                119 
=> 9.5272160658183E-5
                120 
=> 9.7029652303263E-5
                121 
=> 9.6947663217363E-5
                122 
=> 9.4072065771584E-5
                123 
=> 9.0320966127912E-5
                124 
=> 9.1579958293976E-5
                125 
=> 9.1122554636931E-5
                126 
=> 8.946486477755E-5
                127 
=> 9.0581947592536E-5
                128 
=> 8.5662880218015E-5
                129 
=> 7.7199880471025E-5
                130 
=> 8.2790797332579E-5
                131 
=> 8.2575553115157E-5
                201 
=> 8.2467017220184E-5
                202 
=> 8.666843672005E-5
                203 
=> 8.6264567178378E-5
                204 
=> 8.553154000554E-5
                205 
=> 8.9451402158674E-5
                206 
=> 8.8020599743194E-5
                207 
=> 9.2429995648257E-5
                208 
=> 9.5334308973177E-5
                209 
=> 9.4597681169284E-5
                210 
=> 9.7329201889136E-5
                211 
=> 9.1608962930676E-5
                212 
=> 9.3508996856523E-5
                213 
=> 9.3900591215307E-5
                214 
=> 8.9403031668169E-5
                215 
=> 8.6330645230134E-5
                216 
=> 8.6125752082487E-5
                217 
=> 8.0798657399866E-5
                218 
=> 8.3644348380516E-5
                219 
=> 8.6148438680795E-5
                220 
=> 8.4949173752219E-5
                221 
=> 8.4569522302852E-5
                222 
=> 8.6509079221313E-5
                223 
=> 8.6659799405059E-5
                224 
=> 8.322336324304E-5
                225 
=> 8.3937907138904E-5
                226 
=> 8.6917673967695E-5
                227 
=> 8.3862824660113E-5
                228 
=> 7.7927751462281E-5
                301 
=> 7.6455771250413E-5
                302 
=> 7.6259381956171E-5
                303 
=> 7.226725487736E-5
                304 
=> 7.6554136006717E-5
                305 
=> 7.4682797512481E-5
                306 
=> 8.0594333393695E-5
                307 
=> 7.7217695802548E-5
                308 
=> 7.7072135704794E-5
                309 
=> 7.6852100268014E-5
                310 
=> 7.3415911578589E-5
                311 
=> 7.4168218520389E-5
                312 
=> 7.6669001374518E-5
                313 
=> 7.7561308870206E-5
                314 
=> 7.7468233887946E-5
                315 
=> 7.6656746174235E-5
                316 
=> 7.7028241094082E-5
                317 
=> 7.5831526519844E-5
                318 
=> 7.5408941696221E-5
                319 
=> 7.4075147751752E-5
                320 
=> 7.2114839123364E-5
                321 
=> 7.2387432061413E-5
                322 
=> 6.8503547725922E-5
                323 
=> 6.6387401406603E-5
                324 
=> 6.5801679995776E-5
                325 
=> 6.5018428846235E-5
                326 
=> 6.5890150297269E-5
                327 
=> 6.8492545169584E-5
                328 
=> 6.5353504824701E-5
                329 
=> 5.9971840331476E-5
                330 
=> 6.0295287537429E-5
                331 
=> 6.1021977376868E-5
                401 
=> 5.9667795668608E-5
                402 
=> 5.8386176329596E-5
                403 
=> 5.9500440363804E-5
                404 
=> 5.7220158172795E-5
                405 
=> 6.1297538585474E-5
                406 
=> 6.1187256872038E-5
                407 
=> 6.2707052146372E-5
                408 
=> 6.3657411320751E-5
                409 
=> 6.1467141106243E-5
                410 
=> 6.0916294070415E-5
                411 
=> 6.1230081576624E-5
                412 
=> 5.6043873069285E-5
                413 
=> 6.2283228266893E-5
                414 
=> 6.2337186469737E-5
                415 
=> 6.1875163578013E-5
                416 
=> 6.519742760226E-5
                417 
=> 7.2208440933555E-5
                418 
=> 6.9570615700964E-5
                419 
=> 6.8549170042215E-5
                420 
=> 6.6607401098261E-5
                421 
=> 6.9194692925248E-5
                422 
=> 6.8996029280976E-5
                423 
=> 6.8097596940625E-5
                424 
=> 6.7554222257901E-5
                425 
=> 6.8555406771597E-5
                426 
=> 6.7430164417036E-5
                427 
=> 6.7228039970564E-5
                428 
=> 6.6003385738515E-5
                429 
=> 6.5566239895891E-5
                430 
=> 6.524259451729E-5
                501 
=> 6.4886292756187E-5
                502 
=> 6.5672205656312E-5
                503 
=> 6.3891223629177E-5
                504 
=> 6.1743533896274E-5
                505 
=> 6.1564976733308E-5
                506 
=> 6.2057988759163E-5
                507 
=> 6.1839867638151E-5
                508 
=> 6.1563932453298E-5
                509 
=> 6.1037097038937E-5
                510 
=> 6.0880796225554E-5
                511 
=> 6.1388698042675E-5
                512 
=> 6.0815306503661E-5
                513 
=> 6.1661376953729E-5
                514 
=> 6.1431292606524E-5
                515 
=> 6.0146060146503E-5
                516 
=> 5.8544184647315E-5
                517 
=> 5.8529924595324E-5
                518 
=> 5.8184803146627E-5
                519 
=> 5.7745239092353E-5
                520 
=> 5.7622962428317E-5
                521 
=> 5.9406600154778E-5
                522 
=> 6.3098676868766E-5
                523 
=> 6.2373833865902E-5
                524 
=> 6.289760722037E-5
                525 
=> 6.547405372681E-5
                526 
=> 6.6293028594758E-5
                527 
=> 6.5711739631971E-5
                528 
=> 6.4916035447367E-5
                529 
=> 6.4951042393223E-5
                530 
=> 6.7670204468052E-5
                531 
=> 6.7839795271266E-5
                601 
=> 6.8268296518924E-5
                602 
=> 6.8819041716602E-5
                603 
=> 6.5805533920625E-5
                604 
=> 6.4809106447033E-5
                605 
=> 6.4336943830353E-5
                606 
=> 6.2882865720908E-5
                607 
=> 6.4450964298709E-5
                608 
=> 6.35373004101E-5
                609 
=> 6.3660584883876E-5
                610 
=> 6.3580295708597E-5
                611 
=> 6.362413902743E-5
                612 
=> 6.1296398874552E-5
                613 
=> 6.214450504384E-5
                614 
=> 6.0734364044502E-5
                615 
=> 5.8846343542143E-5
                616 
=> 5.8840014235394E-5
                617 
=> 5.930210457859E-5
                618 
=> 5.902723516086E-5
                619 
=> 5.8287568625289E-5
                620 
=> 5.8392634765539E-5
                621 
=> 5.7472144821158E-5
                622 
=> 5.8504398910795E-5
                623 
=> 5.8534000264503E-5
                624 
=> 5.8136526212733E-5
                625 
=> 5.9726856061433E-5
                626 
=> 6.0378415498031E-5
                627 
=> 6.0116789562437E-5
                628 
=> 6.0360059124949E-5
                629 
=> 6.2403954365141E-5
                630 
=> 6.2737198470694E-5
                701 
=> 6.288520348951E-5
                702 
=> 6.2686896371204E-5
                703 
=> 6.0397417777908E-5
                704 
=> 6.0498965889135E-5
                705 
=> 5.9753873227179E-5
                706 
=> 5.9124348443757E-5
                707 
=> 5.9149526133671E-5
                708 
=> 5.9473183704844E-5
                709 
=> 6.088661530042E-5
                710 
=> 6.3861098766967E-5
                711 
=> 6.3973978240203E-5
                712 
=> 6.4110791454692E-5
                713 
=> 6.3554303354553E-5
                714 
=> 6.3386461218677E-5
                715 
=> 6.3607888319629E-5
                716 
=> 6.4724947918753E-5
                717 
=> 6.7598328486423E-5
                718 
=> 6.6582683887173E-5
                719 
=> 6.5756949018533E-5
                720 
=> 6.6481341114852E-5
                721 
=> 6.6369826629597E-5
                722 
=> 6.5428532149829E-5
                723 
=> 6.5402113148861E-5
                724 
=> 6.3595468092137E-5
                725 
=> 6.2927592549984E-5
                726 
=> 6.2369465757343E-5
                727 
=> 6.1760005870047E-5
                728 
=> 6.1398697619578E-5
                729 
=> 6.1953831303962E-5
                730 
=> 6.2080796945729E-5
                731 
=> 6.0866987442748E-5
                801 
=> 6.0701549692672E-5
                802 
=> 6.1692772734704E-5
                803 
=> 6.1256572430426E-5
                804 
=> 6.1705215260623E-5
                805 
=> 6.1809304245616E-5
                806 
=> 6.1792543521659E-5
                807 
=> 6.1337100306707E-5
                808 
=> 6.1627386230405E-5
                809 
=> 6.0940773482459E-5
                810 
=> 6.0194185244968E-5
                811 
=> 5.9717908463539E-5
                812 
=> 5.9302293802795E-5
                813 
=> 5.9532900972242E-5
                814 
=> 5.871082852037E-5
                815 
=> 5.8447830997966E-5
                816 
=> 6.1529043891096E-5
                817 
=> 6.3805168983872E-5
                818 
=> 6.3772073223579E-5
                819 
=> 6.3570611294331E-5
                820 
=> 6.3271279732529E-5
                821 
=> 6.4703049950586E-5
                822 
=> 6.4204249835764E-5
                823 
=> 6.4567168595441E-5
                824 
=> 6.4659546651431E-5
                825 
=> 6.4939147204423E-5
                826 
=> 6.5039080369638E-5
                827 
=> 6.4737012936313E-5
                828 
=> 6.3723237735642E-5
                829 
=> 6.1197006322423E-5
                830 
=> 6.0021038780139E-5
                831 
=> 5.9632949903896E-5
                901 
=> 5.9647056197462E-5
                902 
=> 5.9257941647652E-5
                903 
=> 5.9372553321462E-5
                904 
=> 5.9218084384772E-5
                905 
=> 5.892555758873E-5
                906 
=> 5.9514838266905E-5
                907 
=> 5.9582747375535E-5
                908 
=> 5.944520222387E-5
                909 
=> 5.9477599086294E-5
                910 
=> 5.8338783976805E-5
                911 
=> 5.8425365616203E-5
                912 
=> 5.7943268045771E-5
                913 
=> 5.7852880563088E-5
                914 
=> 5.6634179886076E-5
                915 
=> 5.447507498326E-5
                916 
=> 5.5671428688804E-5
                917 
=> 5.4226401645295E-5
                918 
=> 5.3679148008185E-5
                919 
=> 5.626976161086E-5
                920 
=> 5.6009735857588E-5
                921 
=> 5.5564684798464E-5
                922 
=> 5.4906361525251E-5
                923 
=> 5.466218301946E-5
                924 
=> 5.3178631715791E-5
                925 
=> 5.3090975590331E-5
                926 
=> 5.3826263675685E-5
                927 
=> 5.3486953524012E-5
                928 
=> 5.3010433564261E-5
                929 
=> 5.1284526574096E-5
                930 
=> 4.9344035688983E-5
                1001 
=> 4.9402606911314E-5
                1002 
=> 5.0019840957752E-5
                1003 
=> 5.1814532193122E-5
                1004 
=> 5.1113315278989E-5
                1005 
=> 5.0604574362249E-5
                1006 
=> 5.0509302481239E-5
                1007 
=> 5.1701829537268E-5
                1008 
=> 5.338950516369E-5
                1009 
=> 5.4181324807994E-5
                1010 
=> 5.3396655588409E-5
                1011 
=> 5.2495269838541E-5
                1012 
=> 5.2550133012516E-5
                1013 
=> 5.2915113129838E-5
                1014 
=> 5.2953467379627E-5
                1015 
=> 5.2366757920415E-5
                1016 
=> 5.2531913196513E-5
                1017 
=> 5.2281027230006E-5
                1018 
=> 5.0741340516648E-5
                1019 
=> 5.0713492466403E-5
                1020 
=> 5.0335628516143E-5
                1021 
=> 5.0324186945902E-5
                1022 
=> 4.968134610393E-5
                1023 
=> 4.9591408226389E-5
                1024 
=> 4.8315008717003E-5
                1025 
=> 4.9155138739374E-5
                1026 
=> 4.8591623629174E-5
                1027 
=> 4.7742273438324E-5
                1028 
=> 4.7595845145283E-5
                1029 
=> 4.7591443333977E-5
                1030 
=> 4.8463536068751E-5
                1031 
=> 4.9144947828011E-5
                1101 
=> 4.8601426215777E-5
                1102 
=> 4.8477676880395E-5
                1103 
=> 4.9798996027612E-5
                1104 
=> 4.9630846122037E-5
                1105 
=> 4.948522938826E-5
                1106 
=> 5.3238392321933E-5
                1107 
=> 5.0267470996975E-5
                1108 
=> 4.8971979725033E-5
                1109 
=> 4.7368563268884E-5
                1110 
=> 4.7890643752134E-5
                1111 
=> 4.8000653780913E-5
                1112 
=> 4.4144726241415E-5
                1113 
=> 4.2580376918866E-5
                1114 
=> 4.2043551182628E-5
                1115 
=> 4.1734600381821E-5
                1116 
=> 4.1875393141308E-5
                1117 
=> 4.046729527114E-5
                1118 
=> 4.1413560327682E-5
                1119 
=> 4.0194266595666E-5
                1120 
=> 3.9989848033569E-5
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=> 4.2170096267922E-5
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=> 4.2473465072907E-5
                1123 
=> 4.1179199501542E-5
                1124 
=> 4.2010327520921E-5
                1125 
=> 4.1708948947551E-5
                1126 
=> 4.0215167887116E-5
                1127 
=> 4.0158116438118E-5
                1128 
=> 3.9408589610935E-5
                1129 
=> 3.8235725263387E-5
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=> 3.7699694784405E-5
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=> 3.7420525456922E-5
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=> 3.7535716162343E-5
                1203 
=> 3.7477472216788E-5
                1204 
=> 3.709739107432E-5
                1205 
=> 3.7499258022968E-5
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=> 3.6472654032062E-5
                1207 
=> 3.6063852050973E-5
                1208 
=> 3.5879205680249E-5
                1209 
=> 3.4968035549199E-5
                1210 
=> 3.6418112426896E-5
                1211 
=> 3.6703795839389E-5
                1212 
=> 3.6990042136457E-5
                1213 
=> 3.9481620723788E-5
                1214 
=> 3.9357148498693E-5
                1215 
=> 4.0482316793121E-5
                1216 
=> 4.0438594822251E-5
                1217 
=> 4.0117678598162E-5
                1218 
=> 3.8763785836889E-5
                1219 
=> 3.9303423360715E-5
                1220 
=> 3.7642502940671E-5
                1221 
=> 3.8886977450978E-5
                1222 
=> 3.8319051254972E-5
                1223 
=> 3.8694961032826E-5
                1224 
=> 3.8019041357826E-5
                1225 
=> 3.8393123214011E-5
                1226 
=> 3.6771541974647E-5
                1227 
=> 3.5257332229593E-5
                1228 
=> 3.5866694433541E-5
                1229 
=> 3.6529140838253E-5
                1230 
=> 3.7965493431873E-5
                1231 
=> 3.7110013676765E-5
            
]
            
'min_raw' => 3.4968035549199E-5
            
'max_raw' => 0.00010438043772772
            
'avg_raw' => 6.9674236638461E-5
            
'max_pct' => '3.13%'
            'is_grow' 
=> true
            
'min' => '$0.000034'
            'max' 
=> '$0.0001043'
            'avg' 
=> '$0.000069'
            'bar_min_pct' 
=> 50.898974802884
            
'bar_max_pct' => 51.045822849954
            
'min_diff' => -6.6241964450801E-5
            
'max_diff' => 3.1704377277225E-6
            
'year' => 2026
        
]
        
=> [
            
'items' => [
                
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                104 
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                105 
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                107 
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                313 
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                314 
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                315 
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                316 
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                317 
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                318 
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                319 
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                320 
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                321 
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                322 
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                323 
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                324 
=> 4.0837041217581E-5
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=> 4.1454935421406E-5
                326 
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                327 
=> 4.4750124394927E-5
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=> 4.5178966924668E-5
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                501 
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                502 
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                504 
=> 4.9155995930874E-5
                505 
=> 4.8372012530978E-5
                506 
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                508 
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                509 
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                510 
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                511 
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                512 
=> 5.3678827566337E-5
                513 
=> 5.2898172936227E-5
                514 
=> 5.2805316551998E-5
                515 
=> 5.1817481507136E-5
                516 
=> 5.24014143644E-5
                517 
=> 5.2273699682738E-5
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=> 5.5271700785207E-5
                521 
=> 5.4946655778052E-5
                522 
=> 5.4704024758615E-5
                523 
=> 5.3640886260269E-5
                524 
=> 5.4281133096853E-5
                525 
=> 5.4053153461466E-5
                526 
=> 5.5032698654542E-5
                527 
=> 5.4452437781746E-5
                528 
=> 5.2892258709608E-5
                529 
=> 5.3140722369264E-5
                530 
=> 5.3103167586946E-5
                531 
=> 5.3876042345878E-5
                601 
=> 5.3644044527178E-5
                602 
=> 5.3057866289413E-5
                603 
=> 5.5264572766911E-5
                604 
=> 5.5121281522609E-5
                605 
=> 5.532443574609E-5
                606 
=> 5.541387051802E-5
                607 
=> 5.6757053864343E-5
                608 
=> 5.7307313104259E-5
                609 
=> 5.7432231585363E-5
                610 
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                611 
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                615 
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=> 6.5807038668719E-5
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=> 7.0936653342262E-5
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=> 6.6473179695068E-5
                621 
=> 7.1173228283724E-5
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=> 6.9685247165226E-5
                623 
=> 6.6157270700905E-5
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=> 6.8319297231E-5
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=> 7.3545128538267E-5
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=> 7.2978533209919E-5
                705 
=> 7.4803057842135E-5
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=> 7.0532049821896E-5
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=> 7.104509339282E-5
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=> 7.4295331943494E-5
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=> 7.3855232189082E-5
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=> 7.2906676111212E-5
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                718 
=> 7.0756815546119E-5
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=> 7.061188128999E-5
                720 
=> 6.9621274635742E-5
                721 
=> 6.9407353223074E-5
                722 
=> 6.9050808163182E-5
                723 
=> 6.9161316386058E-5
                724 
=> 6.8490907362523E-5
                725 
=> 6.9756107703505E-5
                726 
=> 6.9990940035698E-5
                727 
=> 7.0911647334912E-5
                728 
=> 7.1007238221046E-5
                729 
=> 7.3571394943908E-5
                730 
=> 7.2159100509859E-5
                731 
=> 7.3106589547854E-5
                801 
=> 7.3021837210183E-5
                802 
=> 6.6233732648647E-5
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=> 6.7169073565273E-5
                804 
=> 6.8624170505394E-5
                805 
=> 6.7968651306207E-5
                806 
=> 6.7041900526425E-5
                807 
=> 6.6293499582519E-5
                808 
=> 6.5159595624575E-5
                809 
=> 6.6755543670684E-5
                810 
=> 6.8854045641165E-5
                811 
=> 7.1060459694073E-5
                812 
=> 7.3711321608666E-5
                813 
=> 7.3119680088763E-5
                814 
=> 7.101090367448E-5
                815 
=> 7.1105501843963E-5
                816 
=> 7.1690270504697E-5
                817 
=> 7.0932941957211E-5
                818 
=> 7.0709590983748E-5
                819 
=> 7.165958551073E-5
                820 
=> 7.166612760093E-5
                821 
=> 7.0794729580836E-5
                822 
=> 6.9826330145655E-5
                823 
=> 6.9822272516662E-5
                824 
=> 6.9649955190801E-5
                825 
=> 7.2100168666009E-5
                826 
=> 7.344753833285E-5
                827 
=> 7.3602012093759E-5
                828 
=> 7.3437141017958E-5
                829 
=> 7.3500593351535E-5
                830 
=> 7.2716588629665E-5
                831 
=> 7.4508590934482E-5
                901 
=> 7.6153109460041E-5
                902 
=> 7.5712343365177E-5
                903 
=> 7.5051572330384E-5
                904 
=> 7.4525236374126E-5
                905 
=> 7.558835534108E-5
                906 
=> 7.5541016326986E-5
                907 
=> 7.6138746025367E-5
                908 
=> 7.6111629553594E-5
                909 
=> 7.591063553778E-5
                910 
=> 7.5712350543307E-5
                911 
=> 7.6498528133274E-5
                912 
=> 7.6272121612989E-5
                913 
=> 7.6045363420843E-5
                914 
=> 7.5590565151552E-5
                915 
=> 7.5652379789748E-5
                916 
=> 7.499172284639E-5
                917 
=> 7.4686072714788E-5
                918 
=> 7.00898280927E-5
                919 
=> 6.8861561343052E-5
                920 
=> 6.9247999066167E-5
                921 
=> 6.9375224398467E-5
                922 
=> 6.8840681134954E-5
                923 
=> 6.9607078861934E-5
                924 
=> 6.9487636588E-5
                925 
=> 6.9952316604483E-5
                926 
=> 6.9662004704246E-5
                927 
=> 6.9673919205896E-5
                928 
=> 7.0527664603472E-5
                929 
=> 7.0775510524481E-5
                930 
=> 7.0649454088694E-5
                1001 
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                1002 
=> 7.2772244237891E-5
                1003 
=> 7.2483002751736E-5
                1004 
=> 7.2329348977012E-5
                1005 
=> 7.2371912122699E-5
                1006 
=> 7.2891771653586E-5
                1007 
=> 7.3037303938956E-5
                1008 
=> 7.2420673419471E-5
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=> 7.2711479937159E-5
                1010 
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                1011 
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                1015 
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                1016 
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                1017 
=> 7.9784029959281E-5
                1018 
=> 8.4646441575771E-5
                1019 
=> 8.8432526490729E-5
                1020 
=> 8.8287210245638E-5
                1021 
=> 8.7627018766994E-5
                1022 
=> 8.331666174959E-5
                1023 
=> 7.9350206958372E-5
                1024 
=> 8.2668314815792E-5
                1025 
=> 8.2676773355096E-5
                1026 
=> 8.2391744947459E-5
                1027 
=> 8.0621457987074E-5
                1028 
=> 8.2330142798557E-5
                1029 
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]
            
'min_raw' => 3.3662850964671E-5
            
'max_raw' => 8.8432526490729E-5
            
'avg_raw' => 6.10476887277E-5
            
'max_pct' => '-12.62%'
            'is_grow' 
=> false
            
'min' => '$0.000033'
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=> '$0.000088'
            'avg' 
=> '$0.000061'
            'bar_min_pct' 
=> 50.865420500042
            
'bar_max_pct' => 50.886035342412
            
'min_diff' => -1.3051845845279E-6
            
'max_diff' => -1.5947911236994E-5
            
'year' => 2027
        
]
        
=> [
            
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=> 9.2931667203097E-5
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=> 9.3341101918125E-5
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=> 9.4556976646171E-5
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=> 9.8331089109615E-5
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=> 0.0001004431324445
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=> 9.7559525011629E-5
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=> 0.00010671190960244
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=> 0.00011195410856225
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=> 0.00011230004646333
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=> 0.00011219302885383
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=> 0.0001157345289243
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=> 0.00014201678377997
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=> 0.00014879955152876
            
]
            
'min_raw' => 6.075156072604E-5
            
'max_raw' => 0.00014879955152876
            
'avg_raw' => 0.0001047755561274
            
'max_pct' => '47.02%'
            'is_grow' 
=> true
            
'min' => '$0.00006'
            'max' 
=> '$0.000148'
            'avg' 
=> '$0.0001047'
            'bar_min_pct' 
=> 51.561829867501
            
'bar_max_pct' => 51.49087294937
            
'min_diff' => 2.708870976137E-5
            
'max_diff' => 6.0367025038028E-5
            
'year' => 2028
        
]
        
=> [
            
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=> 0.00031163418358432
            
]
            
'min_raw' => 0.00013345369070227
            
'max_raw' => 0.00043900218006448
            
'avg_raw' => 0.00028622793538337
            
'max_pct' => '333.75%'
            'is_grow' 
=> true
            
'min' => '$0.000133'
            'max' 
=> '$0.000439'
            'avg' 
=> '$0.000286'
            'bar_min_pct' 
=> 53.43089062365
            
'bar_max_pct' => 54.398511072435
            
'min_diff' => 7.2702129976229E-5
            
'max_diff' => 0.00029020262853572
            
'year' => 2029
        
]
        
=> [
            
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=> 0.00013406658549877
            
]
            
'min_raw' => 0.00011349665229259
            
'max_raw' => 0.0003281521994771
            
'avg_raw' => 0.00022082442588484
            
'max_pct' => '224.23%'
            'is_grow' 
=> true
            
'min' => '$0.000113'
            'max' 
=> '$0.000328'
            'avg' 
=> '$0.00022'
            'bar_min_pct' 
=> 52.917825637622
            
'bar_max_pct' => 53.28786768811
            
'min_diff' => -1.9957038409681E-5
            
'max_diff' => -0.00011084998058738
            
'year' => 2030
        
]
        
=> [
            
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=> 0.000299237993869
            
]
            
'min_raw' => 0.00013418820055178
            
'max_raw' => 0.0002995657048257
            
'avg_raw' => 0.00021687695268874
            
'max_pct' => '195.98%'
            'is_grow' 
=> true
            
'min' => '$0.000134'
            'max' 
=> '$0.000299'
            'avg' 
=> '$0.000216'
            'bar_min_pct' 
=> 53.449773750392
            
'bar_max_pct' => 53.001449945884
            
'min_diff' => 2.069154825919E-5
            
'max_diff' => -2.8586494651399E-5
            
'year' => 2031
        
]
        
=> [
            
'items' => [
                
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]
            
'min_raw' => 0.00020482812852637
            
'max_raw' => 0.0005556789749782
            
'avg_raw' => 0.00038025355175228
            
'max_pct' => '449.04%'
            'is_grow' 
=> true
            
'min' => '$0.0002048'
            'max' 
=> '$0.000555'
            'avg' 
=> '$0.00038'
            'bar_min_pct' 
=> 55.26581844176
            
'bar_max_pct' => 55.567535276936
            
'min_diff' => 7.0639927974588E-5
            
'max_diff' => 0.0002561132701525
            
'year' => 2032
        
]
        
=> [
            
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]
            
'min_raw' => 0.00047597597199617
            
'max_raw' => 0.0014801265002408
            
'avg_raw' => 0.00097805123611849
            
'max_pct' => '1362.43%'
            'is_grow' 
=> true
            
'min' => '$0.000475'
            'max' 
=> '$0.00148'
            'avg' 
=> '$0.000978'
            'bar_min_pct' 
=> 62.236615494192
            
'bar_max_pct' => 64.829887174949
            
'min_diff' => 0.00027114784346981
            
'max_diff' => 0.00092444752526261
            
'year' => 2033
        
]
        
=> [
            
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]
            
'min_raw' => 0.00038266188728768
            
'max_raw' => 0.00085720986550208
            
'avg_raw' => 0.00061993587639488
            
'max_pct' => '746.96%'
            'is_grow' 
=> true
            
'min' => '$0.000382'
            'max' 
=> '$0.000857'
            'avg' 
=> '$0.000619'
            'bar_min_pct' 
=> 59.837652853322
            
'bar_max_pct' => 58.588675081881
            
'min_diff' => -9.3314084708496E-5
            
'max_diff' => -0.00062291663473872
            
'year' => 2034
        
]
        
=> [
            
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=> 0.0007914186583735
                506 
=> 0.00078898691034393
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=> 0.000784933890424
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=> 0.0007861900907729
                509 
=> 0.00077856922757062
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=> 0.000792951370984
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=> 0.00079562082353653
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=> 0.00080608694814156
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=> 0.00083007449575165
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=> 0.00075291083230111
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=> 0.00076354330430383
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=> 0.00078008409408654
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=> 0.000899367164585
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=> 0.00092669380722326
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=> 0.00092152786372496
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=> 0.00095642888124214
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=> 0.00092444687092949
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=> 0.00092183930804606
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=> 0.00092998019542372
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=> 0.00088928660749008
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=> 0.00088525804845092
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=> 0.00088538159860519
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=> 0.00090040439036205
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=> 0.00089714336255655
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=> 0.00089354344024279
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=> 0.00089398441018535
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=> 0.00091160900530152
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=> 0.00090138585007076
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=> 0.00092856578379394
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=> 0.00092297840652405
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=> 0.00091724773411029
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=> 0.00091424976066085
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=> 0.00090668518326409
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=> 0.00089755050149687
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=> 0.00089151899336157
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=> 0.00082237914586036
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=> 0.00084635218739057
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=> 0.00090702937114217
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=> 0.00091811567731348
                1017 
=> 0.00088453453277873
                1018 
=> 0.00087825287174537
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=> 0.00090744119579374
                1020 
=> 0.00088983706826508
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=> 0.00089776420581332
                1022 
=> 0.00088063007034643
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=> 0.00091544531080175
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=> 0.00091518007700096
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=> 0.00090163616212598
                1026 
=> 0.00091308338623359
                1027 
=> 0.00091109414934254
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=> 0.00089580310280587
                1029 
=> 0.00091593006425111
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=> 0.00091594004697288
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=> 0.00090290432337581
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=> 0.00088768145210126
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=> 0.00088495996226554
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=> 0.000897259963353
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=> 0.00091012637782348
                1106 
=> 0.00093406758529838
                1107 
=> 0.00094008697368662
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=> 0.00096358104729934
                1109 
=> 0.00094959147036865
                1110 
=> 0.00095579286862667
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=> 0.00096575316938358
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=> 0.0009946145520799
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=> 0.0010079201942433
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=> 0.0010100066888294
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=> 0.0010082395021441
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=> 0.0010089017884589
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=> 0.00095398696002781
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=> 0.000952762182152
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=> 0.00095438637305191
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=> 0.0009300571957143
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=> 0.00090572138990859
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=> 0.00090541587369022
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=> 0.00089900868558423
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=> 0.00089437746211863
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=> 0.00089526960005959
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=> 0.00089841361052688
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=> 0.00089419472651477
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=> 0.00089509503932161
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=> 0.00091004623066788
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=> 0.00091304458546535
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=> 0.00090285500433068
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=> 0.00086194236572545
                1217 
=> 0.00085190230159014
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=> 0.00085911890058748
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=> 0.00085566983107525
                1220 
=> 0.0006905923359699
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=> 0.00072937484481581
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=> 0.00070633159498913
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=> 0.00071695098467821
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=> 0.00069342979362578
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=> 0.00070465533884725
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=> 0.00070258239053612
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=> 0.00076494351710247
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=> 0.00076396983388606
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=> 0.00076443588451558
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=> 0.00074219007367987
                1231 
=> 0.00077762825438075
            
]
            
'min_raw' => 0.0004524248868813
            
'max_raw' => 0.0010100066888294
            
'avg_raw' => 0.00073121578785537
            
'max_pct' => '897.93%'
            'is_grow' 
=> true
            
'min' => '$0.000452'
            'max' 
=> '$0.00101'
            'avg' 
=> '$0.000731'
            'bar_min_pct' 
=> 61.631153054958
            
'bar_max_pct' => 60.119598047091
            
'min_diff' => 6.9762999593626E-5
            
'max_diff' => 0.00015279682332736
            
'year' => 2035
        
]
        
10 => [
            
'items' => [
                
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                102 
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=> 0.00078219682473756
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=> 0.00080107370351386
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=> 0.0010099184448127
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=> 0.00095757039260716
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=> 0.00091178150875043
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]
            
'min_raw' => 0.00074890526900563
            
'max_raw' => 0.0020896779367477
            
'avg_raw' => 0.0014192916028767
            
'max_pct' => '1964.7%'
            'is_grow' 
=> true
            
'min' => '$0.000748'
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=> '$0.002089'
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=> '$0.001419'
            'bar_min_pct' 
=> 69.253210997108
            
'bar_max_pct' => 70.937188834135
            
'min_diff' => 0.00029648038212433
            
'max_diff' => 0.0010796712479182
            
'year' => 2036
        
]
        
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=> 0.0023328915548996
                530 
=> 0.0022986750435622
                531 
=> 0.0023696794422224
                601 
=> 0.0024702406069067
                602 
=> 0.0025419064813816
                603 
=> 0.0025474080973451
                604 
=> 0.0025013317412984
                605 
=> 0.0025751693959186
                606 
=> 0.0025757072226221
                607 
=> 0.0024924180465749
                608 
=> 0.002441403890002
                609 
=> 0.0024298133662939
                610 
=> 0.0024587687669727
                611 
=> 0.0024939259688585
                612 
=> 0.0025493590773681
                613 
=> 0.0025828561438748
                614 
=> 0.0026701987278529
                615 
=> 0.0026938311267692
                616 
=> 0.0027197959682827
                617 
=> 0.0027544930038052
                618 
=> 0.0027961556910872
                619 
=> 0.0027050001031722
                620 
=> 0.0027086218846153
                621 
=> 0.0026237390632838
                622 
=> 0.0025330295952633
                623 
=> 0.0026018667743961
                624 
=> 0.002691862229086
                625 
=> 0.002671217172344
                626 
=> 0.0026688941817203
                627 
=> 0.0026728008076055
                628 
=> 0.0026572351090266
                629 
=> 0.0025868320312456
                630 
=> 0.0025514760463306
                701 
=> 0.0025970942871447
                702 
=> 0.0026213383519031
                703 
=> 0.0026589387820387
                704 
=> 0.0026543037353757
                705 
=> 0.0027511584054136
                706 
=> 0.0027887932014572
                707 
=> 0.0027791646101455
                708 
=> 0.0027809365026718
                709 
=> 0.0028490725032365
                710 
=> 0.0029248537491017
                711 
=> 0.0029958328860706
                712 
=> 0.0030680359128202
                713 
=> 0.0029809923459415
                714 
=> 0.0029367969907813
                715 
=> 0.0029823953160985
                716 
=> 0.0029582002028423
                717 
=> 0.0030972325003492
                718 
=> 0.0031068587949745
                719 
=> 0.0032458810388639
                720 
=> 0.0033778297027758
                721 
=> 0.0032949551110786
                722 
=> 0.0033731021182955
                723 
=> 0.0034576244780195
                724 
=> 0.0036206818231858
                725 
=> 0.0035657698457604
                726 
=> 0.0035237081316329
                727 
=> 0.0034839600150231
                728 
=> 0.0035666695358522
                729 
=> 0.003673074013082
                730 
=> 0.0036959925183478
                731 
=> 0.0037331292524214
                801 
=> 0.0036940845174069
                802 
=> 0.0037411096000954
                803 
=> 0.0039071288058544
                804 
=> 0.0038622689509663
                805 
=> 0.0037985607454436
                806 
=> 0.0039296169637363
                807 
=> 0.0039770456996683
                808 
=> 0.0043099254070608
                809 
=> 0.0047301997882187
                810 
=> 0.0045562034347489
                811 
=> 0.004448198283323
                812 
=> 0.0044735820558246
                813 
=> 0.0046270520326378
                814 
=> 0.0046763417182966
                815 
=> 0.0045423553615024
                816 
=> 0.0045896816078465
                817 
=> 0.0048504538782166
                818 
=> 0.0049903498346941
                819 
=> 0.0048003523352641
                820 
=> 0.0042761567697468
                821 
=> 0.0037928245185828
                822 
=> 0.0039210259963264
                823 
=> 0.0039064919273053
                824 
=> 0.0041866591998148
                825 
=> 0.0038611990582633
                826 
=> 0.003866678972358
                827 
=> 0.0041526398073606
                828 
=> 0.0040763503591917
                829 
=> 0.0039527712235725
                830 
=> 0.0037937267830337
                831 
=> 0.0034997184248676
                901 
=> 0.0032393070230103
                902 
=> 0.0037500337512167
                903 
=> 0.0037280102860001
                904 
=> 0.0036961170446719
                905 
=> 0.0037670920020387
                906 
=> 0.004111726248419
                907 
=> 0.0041037813135678
                908 
=> 0.0040532396915854
                909 
=> 0.0040915750664056
                910 
=> 0.0039460508470177
                911 
=> 0.0039835557518788
                912 
=> 0.0037927479562848
                913 
=> 0.0038790010487307
                914 
=> 0.0039525060782496
                915 
=> 0.0039672633011861
                916 
=> 0.0040005120779845
                917 
=> 0.003716404920585
                918 
=> 0.0038439606933095
                919 
=> 0.0039188877594255
                920 
=> 0.0035803645488433
                921 
=> 0.0039121962439874
                922 
=> 0.003711459247056
                923 
=> 0.003643326095329
                924 
=> 0.0037350584082693
                925 
=> 0.0036993102367039
                926 
=> 0.003668576057995
                927 
=> 0.0036514258581952
                928 
=> 0.0037187839446926
                929 
=> 0.0037156416094472
                930 
=> 0.0036054307062962
                1001 
=> 0.003461665075907
                1002 
=> 0.0035099175404115
                1003 
=> 0.0034923869676878
                1004 
=> 0.0034288539106479
                1005 
=> 0.0034716675200822
                1006 
=> 0.0032831380516053
                1007 
=> 0.0029587828999999
                1008 
=> 0.0031730618484174
                1009 
=> 0.003164812341994
                1010 
=> 0.00316065256677
                1011 
=> 0.0033216772742706
                1012 
=> 0.0033061984641165
                1013 
=> 0.0032781042721178
                1014 
=> 0.0034283379387801
                1015 
=> 0.0033735006295204
                1016 
=> 0.0035424962953638
                1017 
=> 0.0036538077708426
                1018 
=> 0.0036255755801121
                1019 
=> 0.003730264560815
                1020 
=> 0.0035110291797375
                1021 
=> 0.0035838503791346
                1022 
=> 0.0035988587274045
                1023 
=> 0.0034264840786536
                1024 
=> 0.0033087309888874
                1025 
=> 0.0033008782002835
                1026 
=> 0.0030967105700041
                1027 
=> 0.0032057752701158
                1028 
=> 0.0033017476928102
                1029 
=> 0.0032557843501004
                1030 
=> 0.0032412337289143
                1031 
=> 0.0033155696969094
                1101 
=> 0.0033213462382672
                1102 
=> 0.0031896404831405
                1103 
=> 0.0032170262802102
                1104 
=> 0.0033312296065006
                1105 
=> 0.0032141486494032
                1106 
=> 0.0029866794748288
                1107 
=> 0.0029302639745269
                1108 
=> 0.0029227371068427
                1109 
=> 0.0027697337956543
                1110 
=> 0.0029340339280183
                1111 
=> 0.0028623125172716
                1112 
=> 0.0030888795944659
                1113 
=> 0.0029594656950761
                1114 
=> 0.0029538869205297
                1115 
=> 0.0029454537845745
                1116 
=> 0.0028137575141475
                1117 
=> 0.0028425906276364
                1118 
=> 0.0029384362882807
                1119 
=> 0.0029726350997773
                1120 
=> 0.0029690678835556
                1121 
=> 0.0029379665922552
                1122 
=> 0.0029522046041481
                1123 
=> 0.0029063390069887
                1124 
=> 0.0028901429100219
                1125 
=> 0.0028390235729071
                1126 
=> 0.0027638922694257
                1127 
=> 0.0027743397379819
                1128 
=> 0.0026254849666103
                1129 
=> 0.0025443809868464
                1130 
=> 0.002521932474181
                1201 
=> 0.002491913384857
                1202 
=> 0.0025253232101979
                1203 
=> 0.0026250632797456
                1204 
=> 0.0025047555948349
                1205 
=> 0.0022984965076584
                1206 
=> 0.0023108930302461
                1207 
=> 0.0023387443359401
                1208 
=> 0.0022868436120342
                1209 
=> 0.0022377239325549
                1210 
=> 0.0022804295086566
                1211 
=> 0.0021930348143544
                1212 
=> 0.0023493055672134
                1213 
=> 0.0023450788812923
                1214 
=> 0.0024033269542396
                1215 
=> 0.0024397506696243
                1216 
=> 0.0023558057979804
                1217 
=> 0.002334693889773
                1218 
=> 0.0023467201921707
                1219 
=> 0.0021479522024572
                1220 
=> 0.0023870833688925
                1221 
=> 0.00238915138515
                1222 
=> 0.0023714437744245
                1223 
=> 0.0024987737382049
                1224 
=> 0.0027674796769931
                1225 
=> 0.0026663816941496
                1226 
=> 0.0026272334994899
                1227 
=> 0.0025528127528247
                1228 
=> 0.0026519739790894
                1229 
=> 0.0026443599440684
                1230 
=> 0.0026099263901663
                1231 
=> 0.002589100869327
            
]
            
'min_raw' => 0.0019448840744489
            
'max_raw' => 0.0049903498346941
            
'avg_raw' => 0.0034676169545715
            
'max_pct' => '4830.69%'
            'is_grow' 
=> true
            
'min' => '$0.001944'
            'max' 
=> '$0.00499'
            'avg' 
=> '$0.003467'
            'bar_min_pct' 
=> 100
            
'bar_max_pct' => 100
            
'min_diff' => 0.0011959788054433
            
'max_diff' => 0.0029006718979464
            
'year' => 2037
        
]
    ]
    
'prediction_periods' => [
        
=> [
            
'items' => [
                
=> [
                    
'year' => 2027
                    
'avg' => 6.10476887277E-5
                
]
                
=> [
                    
'year' => 2028
                    
'avg' => 0.0001047755561274
                
]
                
=> [
                    
'year' => 2029
                    
'avg' => 0.00028622793538337
                
]
                
=> [
                    
'year' => 2030
                    
'avg' => 0.00022082442588484
                
]
                
=> [
                    
'year' => 2031
                    
'avg' => 0.00021687695268874
                
]
                
=> [
                    
'year' => 2032
                    
'avg' => 0.00038025355175228
                
]
            ]
            
'min_year' => 2027
            
'max_year' => 2032
            
'min_raw' => 6.10476887277E-5
            
'min' => '$0.000061'
            'max_raw' 
=> 0.00038025355175228
            
'max' => '$0.00038'
            'max_pct' 
=> '275.71%'
            'is_grow' 
=> true
        
]
        
=> [
            
'items' => [
                
=> [
                    
'year' => 2032
                    
'avg' => 0.00038025355175228
                
]
                
=> [
                    
'year' => 2033
                    
'avg' => 0.00097805123611849
                
]
                
=> [
                    
'year' => 2034
                    
'avg' => 0.00061993587639488
                
]
                
=> [
                    
'year' => 2035
                    
'avg' => 0.00073121578785537
                
]
                
=> [
                    
'year' => 2036
                    
'avg' => 0.0014192916028767
                
]
                
=> [
                    
'year' => 2037
                    
'avg' => 0.0034676169545715
                
]
            ]
            
'min_year' => 2032
            
'max_year' => 2037
            
'min_raw' => 0.00038025355175228
            
'min' => '$0.00038'
            'max_raw' 
=> 0.0034676169545715
            
'max' => '$0.003467'
            'max_pct' 
=> '3326.16%'
            'is_grow' 
=> true
        
]
        
=> [
            
'items' => [
                
=> [
                    
'year' => 2037
                    
'avg' => 0.0034676169545715
                
]
            ]
        ]
    ]
    
'prediction_2025_max_price' => '$0.0001043'
    'last_price' 
=> 0.00010121
    
'sma_50day_nextmonth' => '$0.000085'
    'sma_200day_nextmonth' 
=> '$0.000199'
    'sma_50day_ts_nextmonth' 
=> 1770163200
    
'sma_200day_ts_nextmonth' => 1770163200
    
'sma_200day_direction' => 'increase'
    'sma_200day_direction_label' 
=> 'steigen'
    'sma_200day_date_nextmonth' 
=> '04.02.2026'
    'sma_50day_date_nextmonth' 
=> '04.02.2026'
    'daily_sma3' 
=> '$0.000094'
    'daily_sma3_action' 
=> 'BUY'
    'daily_sma5' 
=> '$0.000086'
    'daily_sma5_action' 
=> 'BUY'
    'daily_sma10' 
=> '$0.000078'
    'daily_sma10_action' 
=> 'BUY'
    'daily_sma21' 
=> '$0.000076'
    'daily_sma21_action' 
=> 'BUY'
    'daily_sma50' 
=> '$0.000119'
    'daily_sma50_action' 
=> 'SELL'
    'daily_sma100' 
=> '$0.000147'
    'daily_sma100_action' 
=> 'SELL'
    'daily_sma200' 
=> '$0.000234'
    'daily_sma200_action' 
=> 'SELL'
    'daily_ema3' 
=> '$0.000093'
    'daily_ema3_action' 
=> 'BUY'
    'daily_ema5' 
=> '$0.000088'
    'daily_ema5_action' 
=> 'BUY'
    'daily_ema10' 
=> '$0.000083'
    'daily_ema10_action' 
=> 'BUY'
    'daily_ema21' 
=> '$0.000087'
    'daily_ema21_action' 
=> 'BUY'
    'daily_ema50' 
=> '$0.000113'
    'daily_ema50_action' 
=> 'SELL'
    'daily_ema100' 
=> '$0.000154'
    'daily_ema100_action' 
=> 'SELL'
    'daily_ema200' 
=> '$0.0002056'
    'daily_ema200_action' 
=> 'SELL'
    'weekly_sma21' 
=> '$0.000171'
    'weekly_sma21_action' 
=> 'SELL'
    'weekly_sma50' 
=> '$0.000237'
    'weekly_sma50_action' 
=> 'SELL'
    'weekly_sma100' 
=> '—'
    'weekly_sma100_action' 
=> '—'
    'weekly_sma200' 
=> '—'
    'weekly_sma200_action' 
=> '—'
    'weekly_ema3' 
=> '$0.000094'
    'weekly_ema3_action' 
=> 'BUY'
    'weekly_ema5' 
=> '$0.000096'
    'weekly_ema5_action' 
=> 'BUY'
    'weekly_ema10' 
=> '$0.000118'
    'weekly_ema10_action' 
=> 'SELL'
    'weekly_ema21' 
=> '$0.000167'
    'weekly_ema21_action' 
=> 'SELL'
    'weekly_ema50' 
=> '$0.000257'
    'weekly_ema50_action' 
=> 'SELL'
    'weekly_ema100' 
=> '$0.000142'
    'weekly_ema100_action' 
=> 'SELL'
    'weekly_ema200' 
=> '$0.000071'
    'weekly_ema200_action' 
=> 'BUY'
    'rsi_14' 
=> '54.67'
    'rsi_14_action' 
=> 'NEUTRAL'
    'stoch_rsi_14' 
=> 143.49
    
'stoch_rsi_14_action' => 'SELL'
    'momentum_10' 
=> 0
    
'momentum_10_action' => 'BUY'
    'vwma_10' 
=> '0.000092'
    'vwma_10_action' 
=> 'BUY'
    'hma_9' 
=> '0.000097'
    'hma_9_action' 
=> 'BUY'
    'stochastic_fast_14' 
=> 100
    
'stochastic_fast_14_action' => 'SELL'
    'cci_20' 
=> 278.79
    
'cci_20_action' => 'SELL'
    'adx_14' 
=> 21.56
    
'adx_14_action' => 'NEUTRAL'
    'ao_5_34' 
=> '-0.000011'
    'ao_5_34_action' 
=> 'NEUTRAL'
    'macd_12_26' 
=> 0
    
'macd_12_26_action' => 'BUY'
    'williams_percent_r_14' 
=> -0
    
'williams_percent_r_14_action' => 'SELL'
    'ultimate_oscillator' 
=> 73.37
    
'ultimate_oscillator_action' => 'SELL'
    'ichimoku_cloud' 
=> '-0.000057'
    'ichimoku_cloud_action' 
=> 'SELL'
    'sell_signals' 
=> 13
    
'buy_signals' => 19
    
'sell_pct' => 40.63
    
'buy_pct' => 59.38
    
'overall_action' => 'bullish'
    'overall_action_label' 
=> 'Bullisch'
    'overall_action_dir' 
=> 1
    
'last_updated' => 1767711991
    
'last_updated_date' => '6. Januar 2026'
]

Victorai by Virtuals Preisprognose für 2026

Die Preisprognose für Victorai by Virtuals im Jahr 2026 legt nahe, dass der Durchschnittspreis zwischen $0.000034 am unteren Ende und $0.0001043 am oberen Ende liegen könnte. Auf dem Kryptomarkt könnte Victorai by Virtuals im Vergleich zum heutigen Durchschnittspreis potenziell um 3.13% steigen bis 2026, wenn VCTRAI das prognostizierte Preisziel erreicht.

Victorai by Virtuals Preisprognose 2027-2032

Die Preisprognose für VCTRAI für die Jahre 2027-2032 liegt derzeit in einer Preisspanne von $0.000061 am unteren Ende und $0.00038 am oberen Ende. Angesichts der Preisvolatilität auf dem Markt könnte Victorai by Virtuals, wenn es das obere Preisziel erreicht, bis 2032 im Vergleich zum heutigen Preis um 275.71% steigen.

Victorai by Virtuals Preisprognose Potenzial nach unten ($) Durchschnittspreis ($) Potenzial nach oben ($)
2027 $0.000033 $0.000061 $0.000088
2028 $0.00006 $0.0001047 $0.000148
2029 $0.000133 $0.000286 $0.000439
2030 $0.000113 $0.00022 $0.000328
2031 $0.000134 $0.000216 $0.000299
2032 $0.0002048 $0.00038 $0.000555

Victorai by Virtuals Preisprognose 2032-2037

Die Preisprognose für Victorai by Virtuals für die Jahre 2032-2037 wird derzeit zwischen $0.00038 am unteren Ende und $0.003467 am oberen Ende geschätzt. Im Vergleich zum aktuellen Preis könnte Victorai by Virtuals bis 2037 potenziell um 3326.16% steigen, wenn es das obere Preisziel erreicht. Bitte beachten Sie, dass diese Informationen nur für allgemeine Zwecke bestimmt sind und nicht als langfristige Anlageberatung gelten sollten.

Victorai by Virtuals Preisprognose Potenzial nach unten ($) Durchschnittspreis ($) Potenzial nach oben ($)
2032 $0.0002048 $0.00038 $0.000555
2033 $0.000475 $0.000978 $0.00148
2034 $0.000382 $0.000619 $0.000857
2035 $0.000452 $0.000731 $0.00101
2036 $0.000748 $0.001419 $0.002089
2037 $0.001944 $0.003467 $0.00499

Victorai by Virtuals Potenzielles Preishistogramm

Victorai by Virtuals Preisprognose basierend auf technischer Analyse

Marktstimmungsindikator
Bullisch 59.38%
Bärisch 40.63%

Ab dem 6. Januar 2026 ist die allgemeine Preisprognose-Stimmung für Victorai by Virtuals Bullisch, mit 19 technischen Indikatoren, die bullische Signale zeigen, und 13 anzeigen bärische Signale. Die Preisprognose für VCTRAI wurde zuletzt am 6. Januar 2026 aktualisiert.

50-Tage- und 200-Tage-Einfacher Gleitender Durchschnitt (SMA) und 14-Tage-Relative-Stärke-Index - RSI (14) von Victorai by Virtuals

Laut unseren technischen Indikatoren wird der 200-Tage-SMA von Victorai by Virtuals im nächsten Monat steigen, und bis zum 04.02.2026 $0.000199 erreichen. Der kurzfristige 50-Tage-SMA für Victorai by Virtuals wird voraussichtlich bis zum 04.02.2026 $0.000085 erreichen.

Der Relative-Stärke-Index (RSI) Momentum-Oszillator ist ein häufig verwendetes Tool, um festzustellen, ob eine Kryptowährung überverkauft (unter 30) oder überkauft (über 70) ist. Derzeit steht der RSI bei 54.67, was darauf hindeutet, dass sich der VCTRAI-Markt in einem NEUTRAL Zustand befindet.

Beliebte VCTRAI Gleitende Durchschnitte und Oszillatoren für Sa., 19. Okt. 2024

Gleitende Durchschnitte (MA) sind weit verbreitete Indikatoren auf den Finanzmärkten, die dazu entwickelt wurden, Preisschwankungen über einen festgelegten Zeitraum zu glätten. Als nachlaufende Indikatoren basieren sie auf historischen Preisdaten. Die folgende Tabelle hebt zwei Arten hervor: den einfachen gleitenden Durchschnitt (SMA) und den exponentiellen gleitenden Durchschnitt (EMA).

Täglicher Einfacher Gleitender Durchschnitt (SMA)

Periode Wert Aktion
SMA 3 $0.000094 BUY
SMA 5 $0.000086 BUY
SMA 10 $0.000078 BUY
SMA 21 $0.000076 BUY
SMA 50 $0.000119 SELL
SMA 100 $0.000147 SELL
SMA 200 $0.000234 SELL

Täglicher Exponentieller Gleitender Durchschnitt (EMA)

Periode Wert Aktion
EMA 3 $0.000093 BUY
EMA 5 $0.000088 BUY
EMA 10 $0.000083 BUY
EMA 21 $0.000087 BUY
EMA 50 $0.000113 SELL
EMA 100 $0.000154 SELL
EMA 200 $0.0002056 SELL

Wöchentlicher Einfacher Gleitender Durchschnitt (SMA)

Periode Wert Aktion
SMA 21 $0.000171 SELL
SMA 50 $0.000237 SELL
SMA 100
SMA 200

Wöchentlicher Exponentieller Gleitender Durchschnitt (EMA)

Periode Wert Aktion
EMA 21 $0.000167 SELL
EMA 50 $0.000257 SELL
EMA 100 $0.000142 SELL
EMA 200 $0.000071 BUY

Victorai by Virtuals Oszillatoren

Ein Oszillator ist ein technisches Analysewerkzeug, das hohe und niedrige Grenzen zwischen zwei Extremen festlegt und einen Trendindikator schafft, der innerhalb dieser Grenzen schwankt. Händler verwenden diesen Indikator, um kurzfristige überkaufte oder überverkaufte Bedingungen zu identifizieren.

Periode Wert Aktion
RSI (14) 54.67 NEUTRAL
Stoch RSI (14) 143.49 SELL
Stochastic Fast (14) 100 SELL
Commodity Channel Index (20) 278.79 SELL
Average Directional Index (14) 21.56 NEUTRAL
Awesome Oscillator (5, 34) -0.000011 NEUTRAL
Momentum (10) 0 BUY
MACD (12, 26) 0 BUY
Williams Prozentbereich (14) -0 SELL
Ultimate Oscillator (7, 14, 28) 73.37 SELL
VWMA (10) 0.000092 BUY
Hull Moving Average (9) 0.000097 BUY
Ichimoku Wolke B/L (9, 26, 52, 26) -0.000057 SELL

Auf weltweiten Geldflüssen basierende Victorai by Virtuals-Preisprognose

Definition weltweiter Geldflüsse, die für Victorai by Virtuals-Preisprognosen genutzt werden

M0: Die Summe aller physischen Währungen, sowie Geld aus Konten der Zentralbank, das in physische Währung umgetauscht werden kann.

M1: Beträge von M0 sowie solche in Einlagenkonten, einschließlich "Girokonten" bzw. "Kontokorrentkonten".

M2: Beträge von M1 sowie aus den meisten Sparkonten, Geldmarktkonten und Einlagenzertifikaten (CD) unter einem Betrag von 100.000 $.

Victorai by Virtuals-Preisprognosen basierend auf Erfahrungen mit der Kapitalisierung von Internetunternehmen oder bestimmten Technologiebereichen

Vergleich 2027 2028 2029 2030 2031 2032
Facebook aktie $0.000142 $0.000199 $0.00028 $0.000394 $0.000554 $0.000779
Amazon.com aktie $0.000211 $0.00044 $0.000919 $0.001918 $0.0040029 $0.008352
Apple aktie $0.000143 $0.0002036 $0.000288 $0.0004096 $0.000581 $0.000824
Netflix aktie $0.000159 $0.000251 $0.000397 $0.000627 $0.000989 $0.001561
Google aktie $0.000131 $0.000169 $0.000219 $0.000284 $0.000368 $0.000477
Tesla aktie $0.000229 $0.00052 $0.001179 $0.002672 $0.006059 $0.013735
Kodak aktie $0.000075 $0.000056 $0.000042 $0.000032 $0.000024 $0.000017
Nokia aktie $0.000067 $0.000044 $0.000029 $0.000019 $0.000012 $0.0000085

Diese Berechnung zeigt, wie viel eine Kryptowährung wert sein könnte, wenn wir davon ausgehen, dass ihre Kapitalisierung wie die Kapitalisierung einiger Internetunternehmen oder bestimmter Technologiebereiche abläuft. Wenn Sie die Daten hochrechnen, können Sie sich ein Bild des möglichen zukünftigen Preises für 2024, 2025, 2026, 2027, 2028, 2029 und 2030 machen.

Victorai by Virtuals Prognose und Prognoseübersicht

Sie stellen sich sicher Fragen wie: "Sollte ich jetzt in Victorai by Virtuals investieren?", "Sollte ich heute VCTRAI kaufen?", "Wird Victorai by Virtuals auf kurze bzw. lange Sicht eine gute oder schlechte Investition sein?".

Wir passen unsere Victorai by Virtuals-Prognose regelmäßig an die aktuelle Wertentwicklung an. Schauen Sie sich unsere ähnliche Prognosen an. Wir erstellen mithilfe technischer Analysemethoden eine Preisprognose einer Vielzahl von digitalen Coins wie Victorai by Virtuals.

Wenn Sie auf der Suche nach einer Kryptowährung sind, die eine gute Rendite bietet, sollten Sie das Maximum an verfügbaren Informationsquellen bezüglich Victorai by Virtuals zu Rate ziehen. Nur so können Sie eine verantwortungsvolle Entscheidung bezüglich Ihrer Anlage treffen.

Der Victorai by Virtuals-Preis entspricht heute $0.0001012 USD, der Preis kann sich jedoch sowohl nach oben als auch nach unten bewegen und das von Ihnen investierte Geld kann komplett verloren gehen, da es sich bei Kryptowährungen um hochrisikoreiche Anlagewerte handelt

Victorai by Virtuals-Preisprognose basierend auf Bitcoins Wachstumsmuster

2027 2028 2029 2030
Wenn die Wachstumsrate von Victorai by Virtuals 1 % der letztjährigen Wachstumsrate von Bitcoin erreicht $0.0001038 $0.0001065 $0.0001093 $0.000112
Wenn die Wachstumsrate von Victorai by Virtuals 2 % der letztjährigen Wachstumsrate von Bitcoin erreicht $0.0001064 $0.000112 $0.000117 $0.000123
Wenn die Wachstumsrate von Victorai by Virtuals 5 % der letztjährigen Wachstumsrate von Bitcoin erreicht $0.000114 $0.000129 $0.000146 $0.000165
Wenn die Wachstumsrate von Victorai by Virtuals 10 % der letztjährigen Wachstumsrate von Bitcoin erreicht $0.000127 $0.00016 $0.0002024 $0.000255
Wenn die Wachstumsrate von Victorai by Virtuals 20 % der letztjährigen Wachstumsrate von Bitcoin erreicht $0.000153 $0.000233 $0.000355 $0.00054
Wenn die Wachstumsrate von Victorai by Virtuals 50 % der letztjährigen Wachstumsrate von Bitcoin erreicht $0.000232 $0.000535 $0.00123 $0.00283
Wenn die Wachstumsrate von Victorai by Virtuals 100 % der letztjährigen Wachstumsrate von Bitcoin erreicht $0.000364 $0.001311 $0.004719 $0.016986

Fragefeld

Ist VCTRAI eine gute Investition?

Die Entscheidung, Victorai by Virtuals zu erwerben, hängt vollständig von Ihrer individuellen Risikotoleranz ab. Wie Sie vielleicht feststellen, hat der Wert von Victorai by Virtuals in den letzten 2026 Stunden um -3.8258% gefallen, und Victorai by Virtuals hat in den letzten 30 Tagen ein Rückgang von erfahren. Daher hängt die Entscheidung, ob Sie in Victorai by Virtuals investieren sollten, davon ab, ob eine solche Investition mit Ihren Handelszielen übereinstimmt.

Kann Victorai by Virtuals steigen?

Es scheint, dass der Durchschnittswert von Victorai by Virtuals bis zum Ende dieses Jahres potenziell auf $0.0001043 steigen könnte. Betrachtet man die Aussichten von Victorai by Virtuals in einem längeren Fünf-Jahres-Zeitraum, könnte die digitale Währung potenziell bis zu $0.000328 wachsen. Angesichts der Unvorhersehbarkeit des Marktes ist es jedoch wichtig, gründliche Recherchen durchzuführen, bevor Sie Gelder in ein bestimmtes Projekt, Netzwerk oder Asset investieren.

Wie viel wird Victorai by Virtuals nächste Woche kosten?

Basierend auf unserer neuen experimentellen Victorai by Virtuals-Prognose wird der Preis von Victorai by Virtuals in der nächsten Woche um 0.86% steigen und $0.000102 erreichen bis zum 13. Januar 2026.

Wie viel wird Victorai by Virtuals nächsten Monat kosten?

Basierend auf unserer neuen experimentellen Victorai by Virtuals-Prognose wird der Preis von Victorai by Virtuals im nächsten Monat um -11.62% fallen und $0.0000894 erreichen bis zum 5. Februar 2026.

Wie hoch kann der Preis von Victorai by Virtuals in diesem Jahr 2026 steigen?

Gemäß unserer neuesten Prognose für den Wert von Victorai by Virtuals im Jahr 2026 wird erwartet, dass VCTRAI innerhalb der Spanne von $0.000034 bis $0.0001043 schwankt. Es ist jedoch entscheidend zu beachten, dass der Kryptowährungsmarkt äußerst volatil ist und diese prognostizierte Victorai by Virtuals-Preisvorhersage plötzliche und extreme Preisschwankungen nicht berücksichtigt.

Wo wird Victorai by Virtuals in 5 Jahren sein?

Die Zukunft von Victorai by Virtuals scheint auf einem Aufwärtstrend, mit einem maximalen Preis von $0.000328 nach einem Zeitraum von fünf Jahren zu sein. Basierend auf der Victorai by Virtuals-Prognose für 2030 könnte der Wert von Victorai by Virtuals seinen höchsten Gipfel von ungefähr $0.000328 erreichen, während sein niedrigster Gipfel voraussichtlich bei etwa $0.000113 liegen wird.

Wie viel wird Victorai by Virtuals im Jahr 2026 kosten?

Basierend auf unserer neuen experimentellen Victorai by Virtuals-Preisprognosesimulation wird der Wert von VCTRAI im Jahr 2026 voraussichtlich um 3.13% steigen und bis zu $0.0001043 erreichen, wenn das Beste eintritt. Der Preis wird zwischen $0.0001043 und $0.000034 während des Jahres 2026 liegen.

Wie viel wird Victorai by Virtuals im Jahr 2027 kosten?

Laut unserer neuesten experimentellen Simulation für die Preisprognose von Victorai by Virtuals könnte der Wert von VCTRAI um -12.62% fallen und bis zu $0.000088 im Jahr 2027 steigen, vorausgesetzt, die Bedingungen sind am günstigsten. Der Preis wird voraussichtlich zwischen $0.000088 und $0.000033 im Laufe des Jahres schwanken.

Wie viel wird Victorai by Virtuals im Jahr 2028 kosten?

Unser neues experimentelles Victorai by Virtuals-Preisprognosemodell deutet darauf hin, dass der Wert von VCTRAI im Jahr 2028 um 47.02% steigen, und im besten Fall $0.000148 erreichen wird. Der Preis wird voraussichtlich zwischen $0.000148 und $0.00006 im Laufe des Jahres liegen.

Wie viel wird Victorai by Virtuals im Jahr 2029 kosten?

Basierend auf unserem experimentellen Prognosemodell könnte der Wert von Victorai by Virtuals im Jahr 2029 333.75% Wachstum erfahren und unter optimalen Bedingungen $0.000439 erreichen. Die vorhergesagte Preisspanne für das Jahr 2029 liegt zwischen $0.000439 und $0.000133.

Wie viel wird Victorai by Virtuals im Jahr 2030 kosten?

Unter Verwendung unserer neuen experimentellen Simulation für Victorai by Virtuals-Preisprognosen wird der Wert von VCTRAI im Jahr 2030 voraussichtlich um 224.23% steigen, und $0.000328 im besten Fall erreichen. Der Preis wird voraussichtlich zwischen $0.000328 und $0.000113 während des Jahres 2030 liegen.

Wie viel wird Victorai by Virtuals im Jahr 2031 kosten?

Unsere experimentelle Simulation zeigt, dass der Preis von Victorai by Virtuals im Jahr 2031 um 195.98% steigen könnte, und unter idealen Bedingungen $0.000299 erreichen könnte. Der Preis wird voraussichtlich zwischen $0.000299 und $0.000134 während des Jahres schwanken.

Wie viel wird Victorai by Virtuals im Jahr 2032 kosten?

Basierend auf den Ergebnissen unserer neuesten experimentellen Victorai by Virtuals-Preisprognose könnte VCTRAI eine 449.04% Steigerung im Wert erfahren und $0.000555 erreichen, wenn das positivste Szenario im Jahr 2032 eintritt. Der Preis wird voraussichtlich im Laufe des Jahres zwischen $0.000555 und $0.0002048 liegen.

Wie viel wird Victorai by Virtuals im Jahr 2033 kosten?

Laut unserer experimentellen Victorai by Virtuals-Preisprognose wird der Wert von VCTRAI voraussichtlich um 1362.43% steigen im Jahr 2033, wobei der höchste mögliche Preis $0.00148 beträgt. Im Laufe des Jahres könnte der Preis von VCTRAI zwischen $0.00148 und $0.000475 liegen.

Wie viel wird Victorai by Virtuals im Jahr 2034 kosten?

Die Ergebnisse unserer neuen Victorai by Virtuals-Preisprognosesimulation deuten darauf hin, dass VCTRAI im Jahr 2034 um 746.96% steigen könnte und unter den besten Umständen $0.000857 erreichen könnte. Die vorhergesagte Preisspanne für das Jahr liegt zwischen $0.000857 und $0.000382.

Wie viel wird Victorai by Virtuals im Jahr 2035 kosten?

Basierend auf unserer experimentellen Prognose für den Preis von Victorai by Virtuals könnte VCTRAI um 897.93% steigen, wobei der Wert im Jahr 2035 $0.00101 erreichen könnte. Die erwartete Preisspanne für das Jahr liegt zwischen $0.00101 und $0.000452.

Wie viel wird Victorai by Virtuals im Jahr 2036 kosten?

Unsere jüngste Victorai by Virtuals-Preisprognosesimulation deutet darauf hin, dass der Wert von VCTRAI im Jahr 2036 möglicherweise um 1964.7% steigen könnte und unter optimalen Bedingungen $0.002089 erreichen könnte. Die erwartete Preisspanne für das Jahr 2036 liegt zwischen $0.002089 und $0.000748.

Wie viel wird Victorai by Virtuals im Jahr 2037 kosten?

Laut der experimentellen Simulation könnte der Wert von Victorai by Virtuals um 4830.69% steigen im Jahr 2037, wobei ein Höchstwert von $0.00499 unter günstigen Bedingungen erwartet wird. Der Preis wird voraussichtlich im Laufe des Jahres zwischen $0.00499 und $0.001944 liegen.

Wie liest und prognostiziert man die Kursbewegungen von Victorai by Virtuals?

Victorai by Virtuals-Händler verwenden Indikatoren und Chartmuster, um die Marktrichtung vorherzusagen. Sie identifizieren auch wichtige Unterstützungs- und Widerstandsniveaus, um abzuschätzen, wann ein Abwärtstrend sich verlangsamen oder ein Aufwärtstrend ins Stocken geraten könnte.

Victorai by Virtuals Preisprognose-Indikatoren

Gleitende Durchschnitte sind beliebte Tools für die Preisprognose von Victorai by Virtuals. Ein einfacher gleitender Durchschnitt (SMA) berechnet den durchschnittlichen Schlusskurs von VCTRAI über einen bestimmten Zeitraum, z. B. einen 12-Tage-SMA. Ein exponentieller gleitender Durchschnitt (EMA) gibt neueren Preisen mehr Gewicht und reagiert schneller auf Preisänderungen.

Häufig verwendete gleitende Durchschnitte auf dem Kryptomarkt sind die 50-Tage-, 100-Tage- und 200-Tage-Durchschnitte, die helfen, wichtige Widerstands- und Unterstützungsniveaus zu identifizieren. Eine Kursbewegung von VCTRAI über diesen Durchschnitten wird als bullisch angesehen, während ein Fall darunter auf Schwäche hindeutet.

Händler verwenden auch RSI und Fibonacci-Retracement-Level, um die zukünftige Richtung von VCTRAI einzuschätzen.

Wie liest man Victorai by Virtuals-Charts und prognostiziert Kursbewegungen?

Die meisten Händler bevorzugen Kerzencharts gegenüber einfachen Liniendiagrammen, da sie detailliertere Informationen liefern. Kerzen können die Preisbewegung von Victorai by Virtuals in verschiedenen Zeitrahmen darstellen, wie z. B. 5-Minuten für kurzfristige und wöchentliche für langfristige Trends. Beliebte Optionen sind 1-Stunden-, 4-Stunden- und 1-Tages-Charts.

Ein 1-Stunden-Kerzenchart zeigt beispielsweise die Eröffnungs-, Schluss-, Höchst- und Tiefstpreise von VCTRAI innerhalb jeder Stunde. Die Farbe der Kerze ist entscheidend: Grün zeigt an, dass der Preis höher schloss als er eröffnete, während Rot das Gegenteil bedeutet. Einige Charts verwenden hohle und gefüllte Kerzen, um die gleiche Information zu vermitteln.

Was beeinflusst den Preis von Victorai by Virtuals?

Die Preisentwicklung von Victorai by Virtuals wird durch Angebot und Nachfrage bestimmt und von Faktoren wie Blockbelohnungs-Halbierungen, Hard Forks und Protokoll-Updates beeinflusst. Ereignisse in der realen Welt, wie Vorschriften, Akzeptanz durch Unternehmen und Regierungen und Hacks von Kryptowährungsbörsen, beeinflussen ebenfalls den Preis von VCTRAI. Die Marktkapitalisierung von Victorai by Virtuals kann sich schnell ändern.

Händler überwachen oft die Aktivitäten von VCTRAI-„Walen“, großen Inhabern von Victorai by Virtuals, da ihre Aktionen die Kursbewegungen auf dem relativ kleinen Victorai by Virtuals-Markt erheblich beeinflussen können.

Bullische und bärische Kursprognosemuster

Händler identifizieren oft Kerzenmuster, um sich einen Vorteil bei Kryptowährungspreisprognosen zu verschaffen. Bestimmte Formationen deuten auf bullische Trends hin, während andere auf bärische Bewegungen hindeuten.

Häufig verfolgte bullische Kerzenmuster:

  • Hammer
  • Bullish Engulfing
  • Piercing Line
  • Morning Star
  • Drei weiße Soldaten

Häufige bärische Kerzenmuster:

  • Bearish Harami
  • Dark Cloud Cover
  • Evening Star
  • Shooting Star
  • Hanging Man
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