Lilo Gregreen brings together your accounts on different exchanges in a single dashboard, where predictive modeling and risk management work on the same data, without parallel spreadsheets or separately opened tabs.
The problem
Those who start investing usually end up with accounts opened on two, three or more exchanges, each with its own interface, its own reporting format and its own criteria for calculating performance. The result is not more information, but more friction when deciding.
Unified view
Instead of switching between apps, Lilo Gregreen consolidates positions, movements, and alerts from all your connected exchanges into a single screen, organized by asset and risk level.
Data is updated as it arrives, and each figure can be traced back to its source, with no hidden calculations in between.
The analysis engine
The analysis is based on specific optimization algorithms, not on promises of absolute automation. Each pillar fulfills a different function within the same panel.
The models analyze historical series and current market conditions to estimate probable scenarios for the evolution of each asset, with an explicit horizon and margin of uncertainty.
The system calculates the total exposure of the portfolio, even when it is distributed between exchanges, and marks concentrations or correlations that should be reviewed before taking a new position.
Price and volume changes are reflected on the dashboard without manual reloading, so recommendations are based on the current state of the market and not data from the previous session.
Unified Dashboard
Shares, crypto assets and funds listed on different exchanges are shown with the same valuation criteria, so that the state of health of the portfolio is understood at a glance, without mentally converting each figure to a common reference.
Connections to each exchange are managed via read-only access when permitted by the provider, so Lilo Gregreen can read positions and movements without needing to execute trades on its behalf.
Each investor defines what they want to see first: accumulated profitability, exposure by sector or risk evolution in recent weeks. Reports are built from the same underlying data, so figures are always consistent between sections.
Configurable criteria: analysis period, reference currency and level of detail per asset.
Reports can be exported to maintain their own history, independent of the dashboard.
Transparency
Lilo Gregreen is designed to support the decision, not replace it. That is why the entire process, from data entry to the final recommendation, can be reviewed step by step.
The information from each connected exchange arrives encrypted with bank-grade encryption and is recorded as auditable data, with a mark of origin and time of receipt.
The prediction and risk models process this data and generate a reading of the state of the portfolio, accompanied by the assumptions used to arrive at that reading.
The system presents alternatives and their justification, but the final decision to maintain, adjust or close a position always corresponds to the investor.
In practice
Three common situations illustrate how the panel is used on a daily basis, beyond theory.
An investor defines a horizon of several years and reviews monthly how his portfolio evolves against the scenario estimated by the predictive model, adjusting contributions without having to follow the market daily.
When exposure to a single asset or sector grows above usual, the panel points this out and proposes rebalancing alternatives, so that the decision to reduce the position is made with a margin and not in the midst of a sudden drop.
Before opening a new position, the investor checks how it would affect the general correlation of the portfolio, avoiding adding assets that in practice move the same as those they already have.
Access is granted progressively as new exchanges come online. Requesting it does not imply a commitment to operate or move your accounts immediately.
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