Make informed decisions based on real-time forecasts. Blitz Ertragburg combines predictive models with publicly viewable, community-verified performance logs.
Try the analysis dashboard nowThose who invest part-time rarely have the time to monitor the markets hourly.
Time delays and emotional biases regularly lead to missed opportunities. Those who make decisions between work and everyday life often only react when a trend has already changed.
Our models continuously evaluate millions of data points and isolate objective recommendations. You receive concrete information without having to evaluate chart patterns yourself.
Three building blocks that together form a passive, data-supported decision-making basis.
Predictive models detect market changes as relevant data patterns shift and continually update your overview.
Automated rules help to secure positions so that you can keep your exposure within limits even without daily monitoring.
Dashboards adapt to the size of your portfolio, from initial test amounts to larger exposures.
Insight into anonymized performance logs, which are viewed by the community and documented on a daily basis. Instead of making promises, we show how accurate our past forecasts actually were.
Illustrative representation of a log time history. Real values come from the publicly viewable, continuously updated logs in the dashboard.
Four steps that every analysis goes through before appearing on your dashboard.
Structured and unstructured data is continually brought together from global financial sources.
Neural networks identify recurring connections that would hardly be visible through manual analysis.
Historical backtesting algorithms check each model against past market phases before it goes live.
You receive concrete, comprehensible recommendations instead of abstract key figures.
Blitz Ertragburg was born from the observation that many people with limited time budgets want to make data-based decisions without becoming analysts themselves.
Our team combines methods from financial mathematics with machine learning and places particular emphasis on traceability. Each recommendation can be traced back to the underlying data, and the logs remain visible to all users.
Answers to the points we are most frequently asked by part-time users.
No forecast is error-free. That's why we continuously document the hit rate in publicly viewable protocols instead of making blanket promises of success. This way you can assess the reliability yourself before making decisions.
No. The dashboard translates the model results into clear recommendations for action. Background knowledge of neural networks or backtesting is not required for daily use.
The central difference lies in the public documentation of the performance. While many providers only advertise internal numbers, we disclose our anonymized protocols and let the community view them.
Join users who rely on verified, publicly documented AI analysis rather than guesswork.
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