Source Ganançoire continuously analyzes the markets and suggests precise adjustments to your portfolio. No operation is carried out without your explicit consent.
Get started in 60 secondsLive monitoring of portfolio distribution and risk indicators associated with each position held.
Rates, currencies and indices change hourly. Monitoring each variation manually requires time that few retirees want to devote to it.
Existing management tools are designed for professionals. The interfaces are dense, the vocabulary technical, the decisions quick.
A poorly adjusted trade-off can erode several years of savings. Caution requires constant vigilance, which is difficult to maintain alone over time.
Source Ganançoire was designed to transfer this vigilance to a system capable of exercising it tirelessly, under your direct supervision.
AI continuously examines market data, rates and the current composition of your portfolio. It identifies deviations from your stability objectives.
The system calculates adjustments that could reduce risk or improve performance, based on the criteria you define. Each recommendation is accompanied by a clear rationale.
You validate or refuse each recommendation in one gesture. No order is transmitted without your prior authorization.
Each position is continuously evaluated according to its volatility and exposure. Alert thresholds adjust automatically according to market developments.
The data is updated several times a day. You receive a clear summary, without unnecessary financial jargon, directly readable.
Once your preferences are defined, the system maintains the portfolio balance with no action required on your part, unless an adjustment is occasionally validated.
Source Ganançoire is aimed at savers looking for consistency rather than maximum performance. The team combines quantitative analysis and human supervision to limit impulsive decisions.
Each model is tested on historical data before being deployed to a live account, and remains continuously monitored after it goes live.
The system relies on statistical models trained on several decades of market data. It does not predict the future with certainty: it evaluates probabilities and adjusts the allocation accordingly.
Market data comes from recognized suppliers and public economic flows. No personal data is used to train the models.
Any recommendation exceeding a predefined risk threshold triggers a manual review before being presented. You define this threshold yourself during registration.