Como é possível operar sem comissões sobre as transações?

A ausência de comissões resulta da otimização da infraestrutura tecnológica e da automação integral do processo de decisão e execução, reduzindo custos operacionais que normalmente seriam repassados ao investidor.

Que tipo de lógica orienta as decisões da inteligência artificial?

Os modelos aplicam análise quantitativa sobre dados históricos e em tempo real, classificando ativos segundo critérios de volatilidade e liquidez, sem intervenção discricionária de um gestor humano.

Como funciona o processo de integração (onboarding)?

Após a análise gratuita inicial, o investidor define o perfil de risco pretendido e os limites de exposição. A plataforma configura os parâmetros da carteira com base nessas definições antes da primeira execução automatizada.

Existe algum custo oculto além das comissões de operação?

Não existem comissões de gestão, de subscrição ou de performance. A estrutura de custos é limitada aos custos de rede inerentes às próprias exchanges, fora do controlo da plataforma.

A plataforma garante retorno positivo?

Não. Os modelos preditivos reduzem a exposição a risco desproporcionado, mas não eliminam a volatilidade inerente aos criptoativos nem garantem rentabilidade.

medrascenca — cryptoasset predictive analysis panel in a technical environment

Predictive Intelligence · Zero Commissions

Optimization of cryptoasset portfolios by algorithms, without commissions on operations

medrascenca applies predictive artificial intelligence models to analyze liquidity, volatility and market patterns in real time, without charging commissions on executed operations. The profit generated remains entirely in the investor's portfolio.

Start Free Analysis See methodology

Commission per operation

24/7

Liquidity monitoring

100%

Profit retained by the investor

Data Infrastructure

Quantitative analysis over millions of data points per second

The platform aggregates data from multiple exchanges and liquidity sources, processing it through trained predictive models to identify price correlations, market depth and volatility signals before any allocation decisions.

Each recommendation results from successive layers of statistical validation. The objective is not to predict the unpredictable, but to reduce exposure to disproportionate risk scenarios through systematic risk mitigation.

Portfolio revaluation frequencyEvery 60 seconds
Aggregate liquidity sourcesMultiple global exchanges
Decision modelPredictive, volatility adjusted
Commission per transaction0%
Manual intervention requiredNone

Cost Structure

Comparison between the fee-free model and traditional management

Most digital asset management platforms charge between 1.5% and 2% on managed capital or profits. medrascenca eliminates this commission, allowing the compounded return to fully benefit the investor.

Criterion	medrascenca	Traditional management (market standard)
Annual Management Committee	0%	1.5% – 2%
Commission on profits	0%	Up to 20% on some funds
Commission per executed operation	0%	Variable, depending on broker
Transparency of decision criteria	Report by analysis cycle	Generally not disclosed
Retention of generated profit	100%	Reduced by compounding rates

100% retained profit. Over several reinvestment cycles, even reduced commissions erode the compound return. The absence of fees on operations and managed capital means that the net income corresponds to the gross income generated by the strategy.

Methodology

A structured process in three phases, without discretionary decisions

Each analysis cycle follows a fixed sequence of aggregation, filtering, and execution. There is no manual intervention or opinion-based decisions.

01 — AGGREGATION

Global market liquidity

Price, volume and order book depth data is collected continuously from multiple exchanges, forming a unified view of the liquidity available in each asset.

02 — ANALYSIS

Volatility filtering

Predictive models classify assets according to short-term volatility risk, eliminating positions that exceed the exposure thresholds defined for each portfolio profile.

03 — EXECUTION

Automated allocation

Approved orders are executed automatically, without manual intervention and without additional commissions, reducing the latency time between signal and execution.

Capital Preservation

Portfolio stability-oriented risk mitigation protocols

For the cautious investor, the priority is not just profitability, but the protection of invested capital during periods of market instability.

Anomaly detection

Continuous monitoring of anomalous patterns

The system compares real-time market behavior with historical patterns, flagging deviations that may indicate price manipulation or insufficient liquidity events.

Encryption

Data security standards

Access credentials and wallet data are protected through encryption at rest and in transit, following current practices in the digital financial sector.

Liquidity

Market depth monitoring

Positions are automatically adjusted when an asset's depth of liquidity reduces below thresholds that would compromise an orderly exit from the position.

medrascenca — technical team analyzing predictive models of market data

About Infrastructure

Institutional technology applied to individual portfolios

medrascenca was designed to provide individual investors with data analysis tools equivalent to those used by institutional trading desks, without the cost structure associated with this type of service.

The business model is based on the operational efficiency of algorithms, not on charging recurring commissions on managed capital.

Frequently Asked Questions

Clarifications on the model and decision logic

How is it possible to operate without commissions on transactions?

The absence of commissions results from the optimization of the technological infrastructure and the full automation of the decision-making and execution process, reducing operational costs that would normally be passed on to the investor.

What type of logic guides artificial intelligence decisions?

The models apply quantitative analysis to historical and real-time data, classifying assets according to volatility and liquidity criteria, without discretionary intervention from a human manager.

How does the onboarding process work?

After the initial free analysis, the investor defines the desired risk profile and exposure limits. The platform configures the wallet parameters based on these settings before the first automated run.

Are there any hidden costs other than trading commissions?

There are no management, subscription or performance fees. The cost structure is limited to the network costs inherent to the exchanges themselves, outside the control of the platform.

Does the platform guarantee positive returns?

No. Predictive models reduce exposure to disproportionate risk, but they do not eliminate the volatility inherent to cryptoassets or guarantee profitability.