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lumarioniq – Fundamentalanalyse im Finanzwesen verstehen lernen — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Personal Investing →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
zoryntexalo.com ↗	71 match 1 shared topics	zoryntexalo – Fundamentalanalyse lernen \| Finanzbildung für Anleger	DE~ de	personal-investing	robotsllmsaihumans	email phone	none
sarvenqoreli.com ↗	68 match 1 shared topics	sarvenqoreli - Professionelle Finanzanalyse für Investmentexperten	DE~ de	personal-investing	robotsllmsaihumans	emailphone	none
sylormentia.com ↗	67 match 1 shared topics	Sylormentia - Ihr Blog für nachhaltige Finanzplanung	DE~ de	personal-investing	robotsllmsaihumans	email phone	none
axomirevalora.com ↗	67 match 1 shared topics	axomirevalora - Ihre Plattform für Finanzwissen und Investmentbildung	DE~ de	personal-investing	robotsllmsaihumans	emailphone	none
investment-and-more.de ↗	65 match 1 shared topics	Investment & more • Finanzkompetenz kompakt!	DE de	personal-investing	robotsllmsaihumans	emailphone	none
investorscircle.de ↗	65 match 1 shared topics	Besseres Verständnis des Aktienmarktes und der Finanzen	DE de	personal-investing WordPress	robotsllmsaihumans	emailphone	partial · 8
carsvq.com ↗	64 match 1 shared topics	Carsvq - Immobilienberatung und Marktanalyse	DE~ de	personal-investing	robotsllmsaihumans	email phone	none
investmentberatung-online.de ↗	64 match 1 shared topics	INVESTINFORMER \| Investment Tipps für Finanzen	DE de	personal-investing	robotsllmsaihumans	emailphone	none
investment-blogger.de ↗	64 match 1 shared topics	Finanzinstrumente und Anlagemöglichkeiten	DE de	personal-investing WordPress	robotsllmsaihumans	emailphone	none
julenariqex.com ↗	64 match 1 shared topics	julenariqex - Anfänger Investmentstrategien lernen \| Finanzbildung Deutschland	DE~ de	personal-investing	robotsllmsaihumans	emailphone	none
dertrierer.com ↗	64 match 1 shared topics	Der Trierer \| Finanzen \| Investment \| Wirtschaft	de	personal-investing WordPress	robotsllmsaihumans	emailphone	none
insidetrading.de ↗	64 match 1 shared topics	InsideTrading. de \| Finanzwissen transparent gemacht!	DE de	personal-investing WordPress	robotsllmsaihumans	emailphone	none
investieren-mit-moosmann.de ↗	64 match 1 shared topics	Investieren mit Moosmann - Nur Finanzen im Kopf!	DE de	personal-investing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
investorium-community.de ↗	64 match 1 shared topics	Investorium Community – Investieren lernen	DE de	personal-investing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
poliratexos.com ↗	64 match 1 shared topics	poliratexos - Kleinkapital-Investment Bildungsprogramm \| Finanzielle Grundlagen lernen	DE~ de	personal-investing	robotsllmsaihumans	emailphone	none
investodoc.de ↗	64 match 1 shared topics	InvestoDoc - Investodoc - Finanzwebsite von Markus Schoor	DE de	personal-investing Jimdo	robotsllmsaihumans	emailphone	none
dein-finanzkompass.com ↗	64 match 1 shared topics	Finanzbildung & ETFs: Grundlagenkurs Vermögen aufbauen	de	personal-investing Weebly	robots llmsaihumans	emailphone	none
zorimethanxulo.com ↗	64 match 1 shared topics	zorimethanxulo - Intelligente Investmentstrategien für Ihre finanzielle Zukunft	DE~ de	personal-investing	robotsllmsaihumans	email phone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.