Cerulevane automates the analysis of complex data so you can organize your life around your travels, while maintaining investment strategies built using methods used by institutional managers.
Discover the technologyThe most demanding investment approaches are traditionally based on a fixed position: several screens, almost permanent monitoring of the markets and a continuous presence during opening hours. This model does not fit well with a schedule punctuated by time zones and changes of location.
Cerulevane was designed to work differently. Predictive models analyze markets continuously, whether a user is logged in or not, and compile relevant signals into a dashboard viewable from any device.
The goal is not to replace the investor's judgment, but to provide them with a constantly available analytics partner that processes the volume of data that a single professional could not track manually while traveling.
Cerulevane is a data analysis and decision support platform aimed at investors and independent professionals who operate far from a fixed office. The system does not make absolute predictions: it quantifies probabilities, compares historical scenarios and flags significant deviations from usual market behavior.
This approach is aimed at users who prefer to understand the logic of a tool before integrating it into their strategy, rather than following recommendations without knowing their methodological foundations.
Each proposed strategy is first tested against more than a decade of market data before being made available on the platform.
Before being recommended, each strategy is backtested on more than ten years of market data. This step allows us to observe how it would have behaved in various contexts – bullish phases, corrections, periods of high volatility – rather than relying on its performance over a single favorable period.
Three functions structure the Cerulevane environment: predictive analysis, portfolio optimization and risk management. Each produces scalable recommendations, adjusted to your objectives and your declared risk tolerance.
The models continuously compare current market movements to similar historical patterns. The result is not a certainty, but a probabilistic estimate accompanied by its confidence interval, displayed directly in your dashboard.
When the volatility of a tracked asset exceeds the thresholds defined in your profile, an alert is generated on your dashboard. These thresholds are configurable, in order to avoid excessive notifications on minor fluctuations.
The suggested allocation takes into account the investment horizon, risk tolerance and liquidity constraints entered by the user. The recommendations evolve with these parameters rather than proposing a single structure for all profiles.
The analysis cycle takes place in three stages, from the arrival of raw data until the return of a readable recommendation.
Data feeds are collected continuously from the global markets tracked by the platform, at any time and regardless of the user's time zone.
The models look for matches with historical patterns and evaluate the statistical robustness of detected signals before retaining them.
Validated signals are transformed into concrete recommendations, accompanied by their justification, then displayed in your personal dashboard.
Answers to the technical questions that investors generally ask before integrating an automated analysis tool into their practice.
The models are based on public market data and feeds provided by financial data partners, covering the main asset classes tracked by the platform.
The processing is carried out continuously. The time between receiving data and taking it into account in the models depends on the type of asset and the complexity of the signal analyzed.
Periods of high volatility are among the scenarios tested during backtesting. Models adjust their confidence level and may reduce the recommended exposure when signal reliability decreases.
No. Backtesting allows you to evaluate how a strategy would have performed in the past, which gives indications of its robustness, but is not a guarantee of future results.
Yes. The allocation and alerts take into account the risk profile and investment horizon provided by each user, and are recalculated as these parameters evolve.
Profile and configuration information is stored on infrastructures dedicated to hosting financial data, with access limited to only the processing necessary for the operation of the platform.
Configure your risk profile and access a first reading of the strategies backtested by Cerulevane, directly from your dashboard.