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Frame Hiberix Hub — visualization of a financial data analysis dashboard
Predictive analysis · multi-exchange

Predictive artificial intelligence for your financial decisions.

Frame Hiberix Hub connects complex data analysis to passive income generation, without requiring data science skills. The engine processes market feeds and returns readable recommendations, accompanied by their confidence level.

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Aggregated feed — overview Live
Connected sources6 exchanges
Arbitrage Gap Detected+0.42%
Common Risk ScoreModerate
Average ingest latency1.8 sec
Operational system | 6 synchronized exchanges | Last aggregation: 4 seconds ago
Unified view

A dashboard that brings together multiple platforms in a single reading.

Each exchange publishes its own prices, fees and volumes. Frame Hiberix Hub brings them together in a single interface to highlight actionable gaps without having to open ten tabs.

Multi-source aggregation

All platforms, one window

Price, volume and market depth data is collected continuously from each connected exchange and then normalized into a common, easy-to-compare format.

Gap detection

Spotting arbitrage opportunities

As soon as an asset trades at different prices on two platforms, the difference is reported with its magnitude and likely duration before market correction.

Continuous synchronization

Always up to date view

Connections to exchange APIs are maintained permanently to avoid lags that distort a decision made on obsolete figures.

Methodology

How the engine transforms a raw feed into a readable recommendation.

The process takes place in three distinct stages, each verifiable and viewable from your tracking area.

01

Massive data ingestion

Prices, volumes and order books from each connected exchange are continuously collected, time-stamped and stored for analysis.

02

AI correlation analysis

The models identify relationships between assets and platforms in order to distinguish lasting market movement from passing noise.

03

Optimized recommendations

Each signal is accompanied by a confidence level and an estimate of the associated risk, before being presented in the dashboard.

Risk management integrated into each recommendation
Data transparency

Algorithmic precision and execution speed measured continuously.

Rather than a sales pitch, Frame Hiberix Hub displays the technical indicators that determine the quality of a recommendation: latency, confirmation rate and filtering of market noise.

Analytics engine indicators — current session
Metric Description Value
Ingestion Latency Time between a price variation and its taking into account 1.8 sec
Synchronized exchanges Platforms currently aggregated in the unified view 6
Noise filtering Share of price variations dismissed as insignificant High
Active signals Recommendations being followed by the engine 12
Analysis window Data horizon used for each correlation 24 hours

7 day processing load

The volume of data processed varies with market activity. The peaks correspond to periods of volatility where noise filtering becomes most determining for signal quality.

Frame Hiberix Hub — team analyzing market data feeds

An approach built around data, not discourse.

Frame Hiberix Hub was designed for users who want to understand the broad outlines of a model's reasoning without having to master the mathematics.

Each recommendation remains traceable: origin of data, processing steps and level of uncertainty can be consulted from the user area.

Use cases

Two ways to use the same data stream.

The tool adapts to the desired decision frequency, without imposing constant technical involvement.

Profile A

The passive strategist

Receives consolidated reports at regular intervals and adjusts its position a few times a month, based on already filtered recommendations.

  • Weekly automated reports
  • Alerts limited to significant deviations
  • Consolidated performance monitoring
Profile B

The active optimizer

Consults the unified dashboard several times a day to adjust your positions between exchanges according to differences detected in real time.

  • Live multi-exchange view
  • Time-stamped arbitrage signals
  • Detailed recommendation history
Frequently asked questions

What we most often ask before connecting an account.

How does Frame Hiberix Hub secure connections to exchanges?

Connections go through the official APIs of each platform, reading or trading limited depending on the rights you grant. No identifiers are stored in the clear, and keys can be revoked at any time from the relevant exchange.

Which platforms are compatible with multi-exchange integration?

The Hub supports major exchanges with a documented public API. Adding a new exchange follows a verification process before it is integrated into the unified view.

How does the model handle phases of high volatility?

In periods of high volatility, the engine widens its observation window to distinguish structural movements from temporary variations. The confidence level displayed on each recommendation is adjusted accordingly.

Is technical knowledge required to interpret the recommendations?

Each signal is accompanied by an explanation in everyday language and a risk indicator. The technical terms used in the interface are systematically reformulated in plain language nearby.

Do the recommendations guarantee a financial result?

No. The recommendations reflect a probabilistic analysis based on past and present data; they constitute neither a guarantee of performance nor personalized investment advice.

Transform your data into strategic assets.

Access the Hiberix Hub Consult the details of the functionalities

Financial markets carry a risk of capital loss. Past performance is no guarantee of future results; Frame Hiberix Hub provides decision support tools, not investment advice.