LongStory^☂.short ^aiTM

LongStory Short ./ai is a technology spin-off and service of
RSQ Technology Ventures GmbH

Legal form: GmbH
Commercial register: Frankfurt am Main, HRB 102933
USt-ID: DE301904748

Service-Line: +49 (0) 800 99 99 941 50
Email: tspins@rsqtv.com
Internet: www.rsq-technologies.com
LEI: 391200TSL01HHBAVY220
DUNS: 313 536 980

Address & registered office of the company: 
RSQ Technology Ventures GmbH
Friedrich-Ebert-Straße 1
84164 Moosthenning
 

CEO: Mr. Fabian John (LinkedIn)

Responsible for the content accessible via the online portal is RSQ Technology Ventures GmbH ("RSQ") in accordance with Section 55 (2) RStV.

Responsible according to § 55 Abs. 2 S. 1 RStV:
Fabian John

E-Mail: compliance@rsqtv.com

Data Protection Officer:
Fabian John

Email: privacy@rsqtv.com

Compliance: compliance@rsqtv.com

Media, Sales, Marketing: p.inq@rsqtv.com

Cooperations: c.inq@rsqtv.com

Information & Technology Design: Concept, Development, Provision, Operation:

IT & Software Development 3R technologies
I: 3r-tec.com

Project Developer | Project Management:

Corporate Consulting 3RMCN
I: 3rmcn.com

CyberSecurity & Protection:

Proteo Defence AB

About LongStory Short ./ai

LongStory Short ./ai is a project joint venture that was conceived as a financial information medium and is thematically aimed at all interest groups that can interpret and evaluate the information provided. The information is aimed at investors with an affinity for the stock market and risk, as well as journalists and research departments who are interested in short selling and further research opportunities for listed companies.

The LongStory Short ./ai website is made available to users free of charge.

The information offering and the associated technological implementation concept were developed in a joint project. The technology used is based on a highly developed grey label concept, a proprietary technology asset developed on behalf of RSQ and used in various online portals.

Information on activities requiring a license

Insofar as RSQ Technology Ventures GmbH ("RSQ") provides investment brokerage services within the meaning of Section 2 (2) No. 3 WpIG, it acts as a tied agent ("vgV") pursuant to Section 3 (2) WpIG. RSQ acts exclusively for the account and under the liability of DonauCapital Wertpapier GmbH, Passauer Str. 5, 94161 Ruderting. The client's contractual partner is DonauCapital Wertpapier GmbH.

RSQ Technology Ventures GmbH is entered in the public register kept on the Internet by the Federal Financial Supervisory Authority (BaFin) as a contractually bound intermediary of DonauCapital Wertpapier GmbH. The register can be viewed at www.bafin.de.
 

Information on the liability umbrella

DonauCapital Wertpapier GmbH
Passauer Str. 5
94161 Ruderting
Managing Directors: Roland Wagner, Kurt Ziegler
Tel.: +49 (0)8509-910955
Fax: +49 (0)8509-910917
Internet: www.donaucapital.com
Email: wagner'at'donaucapital.com or ziegler'at'donaucapital.com 

Register court: Munich Local Court, HRB 221691
St.-No.: 153/124/70796
Responsible according to § 55 Abs. 2 RStV: Kurt Ziegler

Information on regulation

Regulatory authority
Bundesanstalt für Finanzdienstleistungsaufsicht (BaFin)
Lurgiallee 12
60439 Frankfurt
or
Graurheindorfer Str. 108
53117 Bonn
Tel +49 (0) 228-4108-0
Fax +49 (0) 228- 4108-1550
Email:poststelle@bafin.de
www.bafin.de

The former online dispute resolution platform (ODR platform) operated by the European Commission was discontinued in July 2025 and is no longer available. We are not obliged to participate in a dispute resolution procedure before a consumer arbitration board and are generally not prepared to do so.

The user guidance of the financial information portal is available in English and German. Data and news obtained from third parties are redited in the language of the publication.

The RFM technology used in the search is based on an approach that was developed specifically for narrowing down relevant information within highly fragmented information layers. The starting point is the assumption that relevance in complex information spaces is not created through mere aggregation, but through contextual classification and structural consolidation. The strengths of this context-related approach unfold in particular where individual pieces of information are condensed into a coherent picture. A characteristic feature here is that directly networked, thematically related information can be accessed from a central access level. Relevance is therefore not created in isolation, but out of context.

Functionally, the technology can be described as a search engine within a search engine. It supplements traditional search mechanisms with an upstream relevance layer that only reveals results that are directly related to the search query. Content without a direct contextual reference is consistently hidden. The technology follows the basic principles of innovative AI search engines. The specific gap that is closed by RFM technology results from the intelligent combination of data availability, artificial intelligence, systematic curation and a combination of self-learning and self-optimizing processes. In this way, relevance is not only calculated, but also developed in a structured manner. This approach is used in particular in specialized financial information environments such as GICS Eleven, Thematic Portfolios, swarmalpha or Due Diligence Hub, where fragmented data is converted into condensed information hubs using smart algorithms.

Relevance Find Machine (RFM) - A smart approach to find relevant information