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Marktkapitalisierung: 24h Vol: Kryptowährungen: 2698 Bitcoin Bitcoin Aktie: 58.7%
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MarcoPolo Protocol Rang 2403
$0.041276
MarcoPolo Protocol Rang 2403
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0 MAP

MarcoPolo Protocol
MarcoPolo Protocol
MAP

MarcoPolo Protocol Preis
$ 0.0413

MarcoPolo Protocol 24h Vol
$4,353

MarcoPolo Protocol Marktkapitalisierung
$0

24h Vol
0 BTC
1 H
-0.23 %
24 H
-0.7 %
7 d
-14.65 %
Heute MarcoPolo Protocol Preis in US-Dollar ist derzeit 0.0413 USD, und wenn in konvertiert Bitcoin ist 0.00000446 BTC. Insgesamt N/A sind derzeit auf dem Markt im Umlauf. MarcoPolo Protocol Die Preise erfahren derzeit eine Änderung von -0.7 %, prüfen alle Kryptowährung. In den letzten 24 Stunden 0.000 M US dollars MarcoPolo Protocol wurde gehandelt Krypto-Austausch. Erhalten MarcoPolo Protocol's Fortschritt durch Hinzufügen zu Ihrem Favoriten und ein freies schaffen Portfolio.
Vollständiger Name
MarcoPolo Protocol
Symbol
MAP
Algorithmus
BTC Preis
0.00000446 BTC
BTC Markt
0 BTC
BTC 24h Vol
0 BTC
Insgesamt abgebaute Münzen
0 MAP
1h
-0.23 %
24h
-0.7 %
7d
-14.65 %
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Beschreibung

Beschreibung


Maester is a term borrowed from the popular fantasy television series - The Game of Thrones, where Maesters, are an order of scholars, healers, and learned men in the Seven Kingdoms. Due to their scientific and intellectual pursuits, they are sometimes referred to as "the knights of the mind". In the context of the platform, a Maester means a professional that other users can reach out to for consultation. We believe every one of us has a skill or knowledge that others can imbibe from us and hence we call our users ‘Maesters’ and the digital currency associated Maester Coin. Hence our mantra, Anyone can be a Maester and earn more with Maester Protocol. 

Users can post blogs, pictures, and videos on the platform showcasing their skills or knowledge about the subject to establish thought leadership. This is called Professional Reputation Management or PRM. The Maester protocol through its proprietary algorithm generates a PRM score for every user by analyzing user demographic & activity variables using typical data mining technique of logistic regression.