Garevi Puxem Dashboard for analyzing crypto portfolios across multiple exchanges

Precise investment decisions through AI-supported portfolio analysis

Garevi Puxem brings together your crypto holdings from multiple trading venues in one dashboard and calculates risk metrics in real time. Multi-exchange support and predictive analytics provide a consolidated basis for decision-making - without access to your payouts.

Read-only API connection · Swiss data protection standards · no trade execution by the platform

Initial situation

Fragmented data makes it difficult to make informed decisions

Anyone who holds crypto positions on multiple trading venues quickly loses track of consolidated key figures. Garevi Puxem reduces this complexity through a central, normalized database.

Typical problem areas

  • Different data formats and key figures per trading venue make direct comparison difficult.
  • Manually updating tables results in delays in market movements.
  • Risk metrics such as volatility or correlation are rarely calculated across platforms.
  • Cognitive overload from too many parallel views and notifications.

Centralized AI evaluation as a solution

Garevi Puxem aggregates position data via standardized interfaces, normalizes the values and applies statistical models to the entire inventory. The result is a uniform view of risk, exposure and development - regardless of how many trading venues the positions are held on.

Data integrity is ensured by validation rules during ingestion; Differences between sources are marked, not automatically overwritten.

Central trading centers Read-only API Wallet addresses (public) Historical market data
Technical basis

Three components of the analysis engine

The platform combines predictive models, synchronized market data and automated risk assessment into a cohesive system.

Predictive Modeling

Statistical models based on historical market data

The forecast models are trained with historical price and volume data and provide probability bands instead of individual target values. Each output includes a confidence interval so that uncertainty remains visible rather than obscured.

The models are regularly readjusted based on new market data in order to identify drift in forecast quality at an early stage.

Garevi Puxem analysis interface with forecast bands and key figures
Multi-exchange sync

Synchronized inventory data across multiple trading venues

Location data is retrieved via read-only API keys and updated at fixed intervals. Depending on the trading venue, the latency between capture and display in the dashboard is typically in the low minute range.

Deviations between reported and actual prices are logged so that the origin of the data remains traceable at all times.

Automated risk scoring

Portfolio level risk metrics

Metrics such as annualized volatility, maximum drawdown and correlation between positions are calculated for each portfolio. These values ​​serve as a basis for decision-making, not as a purchase recommendation.

The risk assessment takes into account the weighting of individual positions in the overall portfolio and updates itself with each synchronization.

Methodology

From raw date to recommended action

The following process describes the essential processing steps without disclosing proprietary model parameters.

1

Data collection

Position and market data is recorded via read-only interfaces of the connected trading venues and converted into a uniform format.

2

Pattern recognition

Statistical models identify correlations, volatility clusters and deviations from historical behavior within the portfolio.

3

Recommendation engine

Information about risk concentration and possible adjustments is derived from the recognized patterns and displayed in a prioritized manner in the dashboard.

Security & Governance

Limited access based on the principle of minimum privilege

The architecture is designed so that Garevi Puxem can read data but cannot initiate transactions.

Encryption

Data transmission takes place via TLS; Stored access data is stored encrypted.

Non-custodial principle

Garevi Puxem does not manage your assets at any time and does not have access to withdrawals.

Read-only API access

The connection to trading venues is carried out exclusively via keys with read rights, without trading authorization.

Frequently asked questions

Open points before use

How accurate are the AI predictions?

The models provide statistical probabilities, not guarantees. Every forecast is issued with a confidence interval so that the uncertainty of the assessment remains visible. Past market trends are not a reliable indicator of future developments.

Which trading venues can be connected?

Common central trading venues with publicly documented APIs as well as the integration of public wallet addresses for a pure inventory overview are supported. The specific list of compatible providers can be found on the functions page.

How transparent is the pricing?

The conditions are clearly stated before an account is connected, with no hidden additional fees afterwards. No credit card is required to get started.

Connect portfolio and view consolidated key figures

Connect your existing accounts via read-only access and get a consolidated view of the risk and development of your crypto portfolio.

No credit card required to get started.