Capital Héritage analyzes your data feeds in real time and applies predictive models to adjust risk exposure. You don't need to master data science: the system handles the complexity for you.
Three technical functions work continuously to transform a volume of raw data into measured allocation decisions.
Market feeds are ingested and processed continuously by the predictive models, without manual aggregation delay. Each significant variation triggers a reassessment of exposure.
The system identifies signals of abnormal volatility before they affect capital and automatically adjusts positions according to predefined thresholds.
The recommendations produced apply to both an individual portfolio and institutional volumes, without loss of precision in the modeling.
Intelligent automation relies on a continuous processing cycle, designed to operate without direct human supervision during normal market phases.
Market flows and macroeconomic indicators are collected then normalized to be used by predictive models.
Each position receives an updated risk score, recalculated at short intervals to reflect actual market conditions.
Allocation adjustments are executed automatically when defined risk thresholds are reached.
Rather than relying on generic testimonials, Capital Héritage documents the backtesting methodology and security protocols that govern each automated decision.
Backtesting reflects the behavior of the model on historical data and is not a guarantee of future performance. Financial markets carry a risk of capital loss.
You want to diversify your savings without going through a technical learning curve. The system supports analysis and adjustment, you maintain visibility into the decisions made.
You already manage positions but want a second level of analysis based on models capable of processing volumes of data that manual analysis cannot cover in real time.
Capital Héritage was designed to address a simple constraint: the majority of people who want to generate passive income through the financial markets have neither the time nor the training to monitor their positions continuously.
The platform is based on predictive models trained on series of market data, with a priority risk management objective over the search for maximum performance in the short term.
Each decision module is documented and can be consulted by the user, in a logic of transparency rather than a black box.
No. The interface is designed for users without training in data science or market finance. Risk parameters are presented in plain language, without technical jargon.
Data is encrypted at rest and in transit. Access to sensitive information is segmented according to defined roles, and no data is shared with unauthorized third parties.
Maximum loss thresholds are defined upstream and applied automatically by the system, independently of any emotional factor. Positions are continuously reassessed according to market conditions.
Initial setup takes a few minutes. You set your risk parameters, then the system supports automatic monitoring and adjustments.
Yes. Each allocation adjustment is logged and viewable, with associated decision logic.
Setting up your risk profile takes a few minutes. Intelligent automation then takes over to ensure continuous monitoring of your positions.
Getting started with Capital Héritage