Colombe Placivo ingests your market feeds in real time and generates a ready-to-use portfolio in less than 60 seconds, designed for professionals who work without a fixed position or market hours.
The system is based on a sequential architecture: collection, modeling, execution. Each layer reduces the uncertainty of the next.
Market flows, trading volumes and macroeconomic indicators are collected continuously and then normalized before any analytical processing.
Networks trained on long historical series identify stable correlations between assets, then estimate a likely return distribution.
The signals selected are translated into concrete allocations, according to risk thresholds defined upstream, without manual intervention required on a daily basis.
Scan engine operating indicators, updated with each processing cycle.
No proof replaces reading the mechanism. Here is the exact sequence performed each time an account is created.
An API integration connects your account to relevant market sources. No position data is required manually: authentication is enough to initialize the flow.
The neural network processes available history and live data, then compares multiple allocation scenarios based on their estimated return/risk ratio.
The selected scenario is converted into an operational portfolio, with rebalancing rules already defined. Everything is visible and editable in the dashboard.
Markets do not respect time zones, and a mobile professional cannot monitor them constantly. Colombe Placivo assumes this monitoring function, which dissociates the income generated from the time spent in front of a screen.
Allocation decisions are made according to rules set in advance, and not according to user availability. This makes it possible to maintain a main professional activity without permanent trade-off between work and portfolio management.
A predictive model is only valuable if it is tested against its own errors. Here are the protocols applied before any production.
Access to connected accounts is end-to-end encrypted, and integration keys only allow read-write execution limited to allocation orders, never direct withdrawal of funds.
Each recommendation is accompanied by a risk score, calculated from historical volatility and the model's sensitivity to current market conditions.
While a portfolio is monitored by hand, the corresponding time is invested neither in paid work nor in deeper analysis. Automating this task does not eliminate the risk, but makes it measurable and constant.
Launch my AI analysis