Porevi Zurem — on-screen predictive analytics dashboard for portfolio management
Predictive analytics for individual investors

Set up your portfolio in less than 60 seconds, then let the algorithm work

Porevi Zurem processes available market data in real time and transforms it into concrete operational recommendations, reducing the time you spend manually monitoring positions.

No credit card required for initial data connection.

Live dashboard Active

Market sentiment 62 / 100
Predictive accuracy (30 days) 78.4%
Active risk index 0.31 — Low

Illustrative values of the dashboard, updated periodically by the model.

Data, not promises

The dashboard that shows what the algorithm does, not just what it claims to do

Each indicator summarizes how the model is interpreting current market conditions. The trends shown relate to the latest available findings.

Main indicators

Indicator Value Trend
Market sentiment 58 / 100 ↑ 2.1
Predictive accuracy (30 days) 77.9% → 0.0
Risk mitigation ratio 0.42 ↓ 0.03
Average portfolio volatility 4.1% ↑ 0.4

The values shown are for demonstration purposes and are updated periodically by the model; they do not constitute a guaranteed prediction of future performance.

Global Equity+0.62%
IG Bond+0.04%
Raw materials-0.38%
Liquidity+0.01%
Real Assets+0.21%

Risk index

0.31

Scale 0–1, where lower values indicate lower exposure compared to the historical volatility of the linked assets.

The index is recalculated at each significant change in the input data and does not eliminate the risk of losing the invested capital.

Methodology

Predictive analysis and decision optimization, in practice

Porevi Zurem collects user-linked data and publicly available market information, normalizes it, and subjects it to statistical models trained on time series. The result is not a precise forecast, but a range of plausible scenarios from which an allocation proposal is derived.

Decision optimization consists in comparing multiple combinations of assets with respect to the risk profile declared by the user, discarding those that exceed the set volatility threshold.

01

Data collection — aggregation of portfolio data, prices and relevant macro indicators.

02

Predictive modeling — estimation of probabilistic scenarios over defined time horizons.

03

Application of risk constraints — filtering of allocations that are not compatible with the user's profile.

04

Operational recommendation — allocation proposal presented in the dashboard, ready for confirmation.

Porevi Zurem — analysts working on the platform's predictive models
Who builds the model

A team that works on data, not on promises

The Porevi Zurem team is made up of analysts and engineers who periodically update the statistical models underlying the platform. Each change to the predictive parameters is first verified on historical data, then made available in production.

The goal is to keep the functioning of the algorithm understandable for those who use it: each recommendation shown in the dashboard is accompanied by the indicators that generated it, without hidden levels of processing.

Activation

From zero to active portfolio in three steps

The initial connection typically takes less than a minute. Subsequent monitoring occurs without continuous user intervention.

01

Data link

Connect the accounts or assets you want to monitor via secure integration. Porevi Zurem reads the necessary data without requiring operational credentials.

About 20 seconds
02

AI configuration

Answer a few questions about your risk profile: the algorithm generates an allocation proposal that you confirm with just one click.

About 30 seconds
03

Passive monitoring

The dashboard updates itself and reports only relevant changes, reducing the need for frequent manual checks.

Continuous, in the background
Applications

Three profiles, three ways of using data

The same analyzes are presented differently based on the objectives declared by the user at the time of configuration.

Retail investor

Diversification without continuous monitoring

Support for maximizing returns over the chosen risk horizon, with periodic rebalancing proposals.

  • Data-driven multi-asset allocation
  • Summary weekly report
Side hustle optimizer

Secondary entry with minimum time required

Designed for those who have a main occupation and want to manage a secondary portfolio without monitoring it on a daily basis.

  • Notifications only for relevant changes
  • Initial setup under 60 seconds
Cautious profile

Reduction of systematic risk

Allocations oriented towards capital conservation, with more frequent risk controls than the standard profile.

  • More restrictive volatility thresholds
  • Priority to portfolio stability
Transparency

Direct questions about risk, data and return

Some answers to the questions we receive most often from those evaluating Porevi Zurem for the first time.

Can the algorithm guarantee a return?

No. Porevi Zurem predictive models estimate probable scenarios based on historical and current data, but cannot eliminate market risk or guarantee an outcome. The risk level you set determines how much the recommendations prioritize stability over potential return.

How are the data linked to my profile processed?

The data necessary for the analysis is collected via secure connections and used exclusively to generate the recommendations shown in the dashboard. The processing takes place in compliance with current legislation on the protection of personal data; the data is not sold to third parties.

How often do I see results generated by linked assets?

The actual returns follow the specific cadence of each underlying instrument. The Porevi Zurem dashboard aggregates these results and presents them in a periodic summary, so as to have a single view without having to check each individual position separately.

Ready to get started in less than a minute?