LotrenWerk processes large amounts of market data in real time and translates it into understandable recommendations for action. Intended for students who do not want to understand cryptocurrencies based on gut feeling, but based on reliable data.
Crypto markets generate more signals per minute than a single person can meaningfully evaluate: price movements, trading volumes, news and social media sentiment are constantly overlapping.
LotrenWerk's AI filters out this noise and identifies patterns that are relevant to the Risk minimization are relevant. The result is evidence-based decisions instead of reactions to individual headlines or trends from social networks.
Important for you as a beginner: The analysis does not replace your own judgment, but it reduces the amount of information to what is statistically relevant.
Simplified representation of the processing principle. The actual model architecture is multi-level and is continually adjusted.
Every day you will receive a report that reveals what the analysis is based on and how the market assessment has changed since the previous day.
Transparency reports also show if a model had a low hit rate in a phase. This is part of an honest presentation of market risk and is not a communication error.
Every issue goes through the same three-step process. Not a black box, but a comprehensible process from raw data to a concrete assessment.
Price, volume and news data are continuously read in via standardized API interfaces and checked for consistency before they are incorporated into the modeling.
Statistical models recognize recurring patterns in the aggregated data and assign current market movements to historical comparison scenarios.
The model results provide concrete, prioritized information for your strategic allocation, each with an indication of the underlying confidence.
The platform is aimed at students who want to understand cryptocurrencies before investing, not after.
With a limited budget and little time for market monitoring, LotrenWerk helps you build a small portfolio based on data instead of trends from social networks. The daily reports replace hours of chart reading with a structured overview.
For business, computer science and MINT students who are also interested in the topic from a methodological point of view, LotrenWerk reveals the logic behind every assessment. This also makes the platform usable as a learning object for quantitative market analysis.
The name LotrenWerk stands for the claim to carry out data processing with the care of a craft instead of treating it as a short-lived trend. Every model adjustment is documented, every key figure is traceable.
LotrenWerk is designed as an AI SaaS tool, not as investment advice in the classic sense. The platform provides basic data and assessments; the decision and the associated market risk remain with you.
The models detect statistical patterns in historical and current data, but provide probabilities, not guarantees. Each assessment is given a confidence value so that you can classify the uncertainty. Market risk can be reduced through AI, but not completely eliminated.
LotrenWerk sources price and volume data via established market APIs as well as publicly available news and discussion sources for sentiment analysis. All sources are named in the respective daily report.
LotrenWerk operates as a SaaS model. You will receive details about the scope and pricing of the individual levels in the personal setup meeting, as they depend on the scope of use and report frequency.
The first automated report can be set up in just a few minutes. You connect your preferred assets, set the report interval and receive your first analysis the following day.
Set up first report