NFAP Overview visualization of market data and forecast models
Multi-Exchange · Real-time consolidation

From market data to reliable investment decisions

NFAP brings together price and trading data from multiple stock exchanges into a single dashboard. Prognostic models continually evaluate this data and provide prioritized suggestions for action - as a basis for passive, structured decision-making.

Working principle

The foundation of the forecast

Every recommendation from NFAP is based on a clearly documented data structure. Instead of individual price series, the system processes several sources in parallel, thus reducing the dependence on individual market events.

01 · Foundation

Data integration

Price, volume and order book data from multiple trading venues are brought together in a common structure.

02 · Structure

Model architecture

Prognostic models recognize patterns over different time windows and weight them according to their significance.

03 · Precision

Risk reduction

Differences between trading venues are flagged before they affect a recommendation.

04 · Scaling

Passive application

Processing runs continuously in the background without the need to manually compare items individually.

surface

A surface reduced to the essentials

The NFAP dashboard shows positions, risk indicators and trading venue allocations in a single view. The design deliberately avoids additional elements so that strategic observation remains in the foreground.

  • Consolidated position overview – all connected trading venues in one view
  • Uniform risk indicators – comparable key figures regardless of the source
  • Clear suggestions for action – prioritized, without additional data inflation
NFAP reduced dashboard with consolidated position overview
Methodology

From raw data to recommendations

The processing chain of NFAP follows four fixed steps. Every step is documented and traceable, without resorting to blanket promises of success.

01

Continuous collection of price, volume and order book data from the connected trading venues.

02

Normalization of heterogeneous data formats into a common, comparable structure.

03

Applying predictive models for pattern and risk recognition over multiple time horizons.

04

Derivation of prioritized suggestions for action, which are clearly presented in the dashboard.

Note on transparency: NFAP discloses the data sources and calculation steps used. Prognostic models provide probabilities, not guarantees. Historical patterns are not a reliable indicator of future market movements.

Application

Scenarios for different investor profiles

The platform is designed to work regardless of time budget or number of trading accounts. The following examples describe typical starting situations.

Working professionals with limited time budgets

Positions are automatically monitored across multiple exchanges without the need for daily manual control.

Result: reduced time required for ongoing observation.

Investors with multiple trading accounts

Instead of checking multiple platforms in parallel, a consolidated view of all positions and risks is created.

Result: a central overview instead of fragmented individual views.

Investors with a focus on risk control

Deviations and anomalies are flagged before they accumulate and are prioritized and available in the dashboard.

Result: early visibility of relevant risk signals.
Contact

Talk to our team about your use case

Access to NFAP will be set up after a brief comparison of your requirements. This gives us the opportunity to check the connection to your existing trading venues in advance.