d.at bewertung und analyse

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Title D.AT - stock chart tool for
Description D.AT Charting tool for hedge fund managers. Continue D.AT This is D.AT Privacy Support Twitter Facebook Instagram GitHub GitHub --> LinkedIn From thoug
Keywords N/A
Server Information
WebSite d favicond.at
Host IP 18.204.76.100
Location United States
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d.at bewertung
Euro4,408
Zuletzt aktualisiert: 2022-06-14 17:25:59

d.at hat Semrush globalen Rang von 6,341,649. d.at hat einen geschätzten Wert von € 4,408, basierend auf seinen geschätzten Werbeeinnahmen. d.at empfängt jeden Tag ungefähr 551 einzelne Besucher. Sein Webserver befindet sich in United States mit der IP-Adresse 18.204.76.100. Laut SiteAdvisor ist d.at sicher zu besuchen.

Verkehr & Wertschätzungen
Kauf-/Verkaufswert Euro€4,408
Tägliche Werbeeinnahmen Euro€124,526
Monatlicher Anzeigenumsatz Euro€41,876
Jährliche Werbeeinnahmen Euro€3,306
Tägliche eindeutige Besucher 551
Hinweis: Alle Traffic- und Einnahmenwerte sind Schätzungen.
DNS Records
Host Type TTL Data
d.at. A 60 IP: 18.204.76.100
d.at. A 60 IP: 54.156.124.49
d.at. NS 21600 NS Record: ns-1308.awsdns-35.org.
d.at. NS 21600 NS Record: ns-1716.awsdns-22.co.uk.
d.at. NS 21600 NS Record: ns-254.awsdns-31.com.
d.at. NS 21600 NS Record: ns-741.awsdns-28.net.
HtmlToTextCheckTime:2022-06-14 17:25:59
D.AT Charting tool for hedge fund managers. Continue D.AT This is D.AT Privacy Support Twitter Facebook Instagram GitHub GitHub --> LinkedIn From thought to chart. no middle steps. Hedge fund managers: instant charts to convey your ideas. Query hundreds of measurements on over 9,000 companies. From the web or without leaving Slack. --> produces... --> D.AT is a free tool --> --> The /dat command doesn’t take a lot of learning. Here are some sample commands to try: slack today apple, microsoft, exxon since 2014 bitcoin relative to ethereum facebook ebitda apple with 50 day moving average, 15 day ma, best fit line Up your pairs trading with relative motion /dat walmart relative to target with bollinger and best fit line When going long on one company and short on another (pairs trading), it’s helpful to see how they are moving relative to each other. The above example includes common quant techniques of Bollinger bands and linear regression line fitting. A vast array of
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