Qylarvexon transforms complex data into executive signals. Reduce risk and maximize returns with community-validated predictive models.
Try the demo for freeTerabytes of market data are generated daily. The human brain cannot process them in time. Qylarvexon filters the noise and identifies patterns that others miss.
Four pillars on which Qylarvexon builds a trader's daily decisions.
Analysis of market data in milliseconds, from signal reception to recommendation output.
Automatic monitoring of limits and volatility according to the rules defined by you.
Connection to existing business terminals without the need to change the workflow.
Train algorithms on your own datasets and adapt them to your strategy.
No promises, just facts. Our public performance log is updated hourly and verified by the user community.
Four steps between receiving data and a specific action in the terminal.
Collection of data from stock exchanges, social networks and news.
Neural filtering of irrelevant noise.
Generating recommendations with a specified degree of probability.
Execution or user notification.
Qylarvexon was created for traders and analysts who need to process a volume of data exceeding human capacity. The model combines market prices, news and social media sentiment into a single signal.
We publish the performance of the algorithms publicly and update every hour so that users can verify the results for themselves without having to trust marketing claims.
Answers to technical and security questions that we solve most often.
We use end-to-end encryption and never share your data with third parties to train foreign models.
No. We offer an intuitive dashboard as well as an advanced API for developers who want deeper control.
The log is recalculated every hour and is visible to all registered users without the need for paid access.
Yes, via the REST API. The documentation contains samples for the most common broker interfaces used in the Czech Republic.
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