Optimize your investment decisions with multi-stream predictive analysis, with no technical expertise required.
Start nowNo programming or finance skills are needed to get started.
Capital Lumina centralizes data from several exchange platforms in a single and simple interface. You no longer need to open multiple apps to understand your overall exposure.
The objective is to simplify reading, not to multiply indicators. Each screen is designed to get straight to the point: what's moving, what deserves your attention, what can wait.
Centralizing your positions allows you to view the whole effortlessly and maintain a clear vision, even when markets move quickly.
Capital Lumina's AI processes your data to produce clear recommendations, without technical jargon.
Identifies emerging trends in your feeds before they become visible to the naked eye.
Automated alerts flag unusual variations and exceeded risk thresholds.
Millions of data points are continuously analyzed to keep your information up to date.
Connecting to Capital Lumina is designed for ordinary people, not financial analysts.
Connect your existing account feeds over an encrypted connection, in minutes.
The algorithm processes historical and current data to generate actionable trends.
You receive actionable suggestions, written in plain language, without technical terminology.
The most frequently asked questions from users discovering Capital Lumina for the first time.
All connections and transmitted data are encrypted. No login information is shared with third parties.
No. The interface is designed for users without technical training. The recommendations are formulated in everyday language.
Support is available to answer questions related to connecting feeds and reading the dashboard.
Capital Lumina was built around a simple idea: financial data is only useful if it becomes understandable. Predictive models remain in the background; what comes up on the screen are observations and avenues of action.
This approach is aimed at people who want to optimize their investment decisions without becoming data specialists.