Terms of Use

The general principle is completely satisfy every client
and constantly improve the quality and the safety of our products.

1. Definitions

The data protection declaration of the Lets Trade LLC is based on the terms used by the European legislator for the adoption of the General Data Protection Regulation (GDPR). Our data protection declaration should be legible and understandable for the general public, as well as our customers and business partners. To ensure this, we would like to first explain the terminology used.

In this data protection declaration, we use, inter alia, the following terms:

a) Personal data
Personal data means any information relating to an identified or identifiable natural person (“data subject”). An identifiable natural person is one who can be identified, directly or indirectly, in particular by reference to an identifier such as a name, an identification number, location data, an online identifier or to one or more factors specific to the physical, physiological, genetic, mental, economic, cultural or social identity of that natural person.

b) Data subject
Data subject is any identified or identifiable natural person, whose personal data is processed by the controller responsible for the processing.

c) Processing
Processing is any operation or set of operations which is performed on personal data or on sets of personal data, whether or not by automated means, such as collection, recording, organisation, structuring, storage, adaptation or alteration, retrieval, consultation, use, disclosure by transmission, dissemination or otherwise making available, alignment or combination, restriction, erasure or destruction.

d) Restriction of processing
Restriction of processing is the marking of stored personal data with the aim of limiting their processing in the future.

e) Profiling
Profiling means any form of automated processing of personal data consisting of the use of personal data to evaluate certain personal aspects relating to a natural person, in particular to analyse or predict aspects concerning that natural person’s performance at work, economic situation, health, personal preferences, interests, reliability, behaviour, location or movements.