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Prezavança — multi-market financial data analysis dashboard
Data Intelligence Platform

A Unique View on Fragmented Markets

Prezavança aggregates data from multiple exchanges and markets into a single panel and applies predictive artificial intelligence models to support investment decisions with less exposure to risk, even for those taking their first steps.

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Dashboard preview Illustrative data
Aggregate markets
12
Assets compared
340+
Average latency
180ms
Signal update
Continuous

Values presented for the purpose of demonstrating the panel’s operation.

Data Intelligence

Predictive models aimed at risk mitigation

Prezavança's analytical engine processes historical series and real-time data from each linked market, identifying volatility patterns before they become evident in manual analysis. The objective is not to predict with absolute certainty, but rather to reduce uncertainty in decision making.

  • Risk weighting per asset Each recommendation is accompanied by a risk exposure indicator, calculated based on recent volatility and available liquidity.
  • Portfolio optimization The system suggests allocation adjustments based on correlations between assets in different markets, rather than looking at each position in isolation.
  • Early detection of divergences Price variations between exchanges are flagged when they exceed configurable thresholds, allowing for more informed decisions.
Reanalysis cycles
Every 5 min
Data Sources
12 exchanges

Frequencies and market coverage presented for illustrative purposes; The final configuration depends on the access plan.

Unified Dashboard

Fragmented data synthesized into a single source of truth

Instead of switching between applications from different exchanges, the investor consults a single panel where prices, variations and risk signals appear side by side, organized by priority and not in alphabetical or chronological order.

  • Automatic normalization of data formats from different market APIs.
  • Visual hierarchy that highlights assets with the greatest variation in risk first.
  • Comparable history between markets, without the need to export or cross-reference files manually.
Active Exchange 24h variation Signal
ATV-22 Market A +2.14% Favorable
BTV-07 Market B -1.38% Attention
CTV-15 Market C +0.42% Monitor
DTV-03 Market A -0.07% Monitor

Example table for illustrative purposes of data organization in the panel.

Methodology

How data turns into recommendations

Transparency about the process is as important as the result. Therefore, each stage of the Prezavança's operation follows documented logic, without unexplained black boxes.

01

Multi-market data aggregation

Links to multiple exchanges collect prices, volumes and market depth in short intervals, consolidating everything into a common format.

02

Neuronal processing and predictive analysis

Models trained on time series identify behavior patterns and estimate risk scenarios for each monitored asset.

03

Generating actionable recommendations

Analysis results are translated into clear priorities, ordered by relevance, rather than lengthy lists of technical indicators.

Prezavança — team analyzing market data in a work environment
About the Approach

Built for those just starting out, without simplifying what’s important

Prezavança was born from the observation that most of the friction in entering financial markets is not a lack of data, but an excess of scattered and contextless data. The panel was designed for investors who understand technology, but who do not have the time or experience to manually cross-reference information from dozens of sources.

Each feature is evaluated by its direct contribution to reducing uncertainty, not by the number of metrics it can display.

Practical Applications

Where predictive analytics reduces decision complexity

The scenarios below illustrate how the signals generated by the platform translate into concrete decisions, without requiring advanced technical knowledge in financial analysis.

Initial Investment

Gradual entry into the market

Instead of deciding between dozens of assets without context, the investor receives a reduced and prioritized list, with a clear indication of the level of risk associated with each option.

Risk Management

Protection against volatility

Divergence alerts between markets help identify moments of greater instability, allowing you to adjust positions before a sharp variation.

Capital Allocation

Portfolio optimization

Analyzing correlations between assets from different exchanges avoids concentrations of risk that would not be visible when looking at each market in isolation.

Technical Questions

Transparency about data, security and models

How are data and access credentials protected?

Connections to exchanges are made through API keys with permissions limited to reading market data, without access to the movement of funds. Credentials are encrypted at rest and in transit, following current security practices for financial integrations.

What exchanges and markets is the platform compatible with?

Compatibility is defined by direct integrations with each supported exchange, subject to public or institutional API availability. The list of supported markets is shared at the time of access, as it may vary by region and product availability phase.

How reliable are predictive models?

Models identify patterns and probabilities based on real-time and historical data, but they do not eliminate the uncertainty inherent in financial markets. Recommendations should be interpreted as decision support, not as a guarantee of results.

Maximize your strategic efficiency in market analysis

Request early access to Prezavança and receive a consolidated view of the markets you already follow, without depending on multiple applications simultaneously.

Investing in financial assets involves risk, including the possibility of capital loss. Prezavança provides analysis tools and does not constitute financial advice.

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