Come funzionano i prelievi istantanei?

La richiesta viene avviata dalla dashboard e instradata immediatamente verso gli strumenti a liquidità immediata mantenuti in portafoglio. Non sono previsti periodi di lock-up né penali di uscita anticipata; i tempi di accredito finale dipendono dall'istituto bancario ricevente.

Quali dati utilizza il modello predittivo?

Serie storiche di mercato, book degli ordini, indicatori macroeconomici e dati di sentiment provenienti da fonti pubbliche. I dati vengono aggiornati con frequenza continua e usati per ricalcolare l'allocazione.

Come viene gestito il rischio del portafoglio?

Ogni portafoglio opera entro parametri espliciti — volatilità target, drawdown massimo, orizzonte di ribilanciamento e diversificazione minima — definiti prima dell'attivazione e consultabili in piattaforma.

È possibile modificare l'allocazione manualmente?

Sì. I parametri di rischio possono essere aggiornati dall'utente in qualsiasi momento; il sistema applica le nuove impostazioni al ciclo di ribilanciamento successivo.

Quali costi sono associati alla piattaforma?

La struttura commissionale viene mostrata in modo esplicito in fase di attivazione dell'account, prima di qualsiasi allocazione di capitale.

Neve Fondivio — data analysis and predictive portfolio allocation interface

Data intelligence platform for investors

Asset allocation guided by predictive models, capital always available

Neve Fondivio processes real-time market data to calibrate portfolio exposure and routes each withdrawal request as soon as it is generated, without lock-up periods and without minimum notice.

Start now Discover the methodology

System status active processing

Update latency < 1s

Rebalancing continuous

Withdrawals in queue 0

Lock-up applied nobody

Liquidity and speed of execution

Capital remains accessible while the system works

Algorithmic diversification does not require giving up the availability of capital. Each component of the portfolio is designed to remain liquidatable.

01 — Liquidity

Instant withdrawals

The capital is never tied up in lock-up periods. Each withdrawal request is processed as it arrives, regardless of the amount or remaining balance.

02 — Analysis

Predictive optimization

The models recalculate the allocation based on updated market data and automatically reduce exposure during periods of increased volatility.

03 — Structure

Configurable diversification

The portfolio distributes capital across multiple asset classes according to user-set risk parameters, not a single fixed strategy.

How a withdrawal works

The process is designed to remain simple, with no manual unlocking steps.

The request is initiated directly from the dashboard, at any time of the day.
The system routes the amount from the immediate liquidity instruments kept in the portfolio.
There are no early exit penalties or minimum capital retention thresholds.
Final credit times depend on the receiving bank, not on the platform.

Methodology

The predictive optimization engine

The system combines market data, statistical modeling and explicit risk rules into a single continuous allocation cycle.

Neve Fondivio — view the data streams used by the predictive model

Phase 01 — Data collection

Analyze market flows in real time

The model collects time series, order books, macroeconomic indicators and sentiment data from public sources, updating them continuously.

Stock and bond markets
Real-time order book
Macroeconomic indicators
Public sentiment data

Phase 02 — Modeling

The signals are aggregated into a risk-reward score for each asset, then compared to user-defined portfolio constraints before generating a rebalancing order.

Phase 02 — Predictive modeling

Rebalance based on signals

The algorithms combine multiple independent statistical models; the final allocation is calculated only when signals converge, reducing decisions based on a single isolated indicator.

Phase 03 — Continuous verification

Each forecast is compared with the outcome achieved at the end of the reference period; the deviations are used to recalibrate the model weights.

Phase 03 — Accuracy logic

Maximize consistency between prediction and result

The system does not apply a fixed model over time: the calibration of the weights occurs on a daily basis, keeping track of the forecast error for each asset class monitored.

Operational interface

Portfolio monitoring in one screen

The dashboard brings together exposure, available liquidity and withdrawal status, without requiring the cross-referencing of multiple external tools.

Portfolio summary view

Continuously updated, without manual intervention.

active data flow

Exposure by asset class visible

Liquidity available in real time

Deviation from the risk target monitored

Withdrawals being processed tracks

Example of operation log

09:12:04Rebalancing performed on the EU bond sector, reduction of exposure by 3%.

09:47:31Withdrawal request initiated by the user, routing to immediate liquidity instruments.

10:03:58Updating of model weights based on incoming macroeconomic signal.

10:29:15Verification of risk parameters completed, no deviation from the set threshold.

Risk management

Configurable parameters and optimization logic

Each wallet operates within explicit limits, defined before activation and visible at all times within the platform.

Parameter	Function	Configurable interval
Target volatility	Expected swing level based on current allocation	low / medium / high
Maximum drawdown	Leakage threshold that activates automatic exposure reduction	5% – 20%
Rebalancing horizon	How often the system recalculates the allocation	intraday – weekly
Minimal diversification	Minimum number of asset classes present in the portfolio	3 – 8 classes

Optimization logic

Exposure to an individual asset is reduced when its correlation with the rest of the portfolio exceeds the set threshold.
Positions are opened and closed in successive fractions, to limit the impact on the market price.
Unallocated capital remains in immediate liquidity instruments, available for withdrawal at any time.

Frequently asked questions

Frequently asked questions about the methodology

The most requested answers on withdrawal mechanics, data used and risk management.

How do instant withdrawals work?

The request is initiated from the dashboard and immediately routed to the immediate liquidity instruments kept in the portfolio. There are no lock-up periods or early exit penalties; final credit times depend on the receiving bank.

What data does the predictive model use?

Historical market series, order books, macroeconomic indicators and sentiment data from public sources. The data is updated continuously and used to recalculate the allocation.

How is portfolio risk managed?

Each portfolio operates within explicit parameters - target volatility, maximum drawdown, rebalancing horizon and minimum diversification - defined before activation and available on the platform.

Is it possible to change the allocation manually?

Yes. Risk parameters can be updated by the user at any time; the system applies the new settings to the next rebalancing cycle.

What costs are associated with the platform?

The commission structure is explicitly shown during account activation, before any capital allocation.

The functioning of the models and the risk parameters applied to each portfolio are documented and consultable directly within the platform; no allocation decisions are made without a trace visible to the user.

Access to the platform

Configure a portfolio with defined risk parameters and always accessible liquidity

Activation requires the definition of the initial risk parameters; from that moment the system manages rebalancing and monitoring autonomously.