Heese Liridely Dashboard view for mobile investors with multiple exchange connections

Real-time analysis for multiple exchanges in one dashboard

Heese Liridely bundles market and portfolio data from various exchanges and provides a precise basis for decision-making - regardless of location and time zone.

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The dashboard shows consolidated positions, risk metrics and model-based recommendations for action on one interface - updated in real time, without manual comparison between platforms.
Initial situation

Fragmented data costs time and precision

Anyone who invests across multiple exchanges knows the problem: Each platform provides its own key figures, in its own formats, at different times. Anyone who also travels between time zones also loses track of when and which data is current.

Heese Liridely brings these data sources together in one interface and reduces manual comparison to a minimum.

  • One login for all connected Exchange accounts, instead of repeated logins on individual platforms.
  • Consolidated key figures instead of manually merged tables from different sources.
  • Timestamp in local time zone so that decisions remain traceable regardless of current location.
Heese Liridely analyst workstation with consolidated market data
Platform

One dashboard, multiple exchanges

The three core functions form the basis for informed, timely decisions - regardless of where you work from.

01

Multi-exchange support

Heese Liridely connects to multiple Exchange accounts via standardized API interfaces. Positions, orders and histories are automatically merged and presented in a uniform structure - without export-import steps between platforms.

02

Predictive models

Historical and current market data is incorporated into statistical models that classify trends and patterns based on quantifiable factors. The models provide probability information, not guarantees - as an additional basis for decision-making in addition to your own assessment.

03

Real-time risk assessment

Volatility, concentration risks and correlations between positions are continually recalculated. Threshold values ​​can be set individually so that warnings are only triggered when deviations are actually relevant.

Methodology

How the analysis takes place in the background

Transparency about the analysis process is part of the platform, not just the result. Every step can be tracked in the dashboard.

1

Data aggregation

Market and account data from all connected exchanges are continuously retrieved and merged into a uniform data model, including timestamps and source identification.

2

AI-supported processing

The aggregated data is processed through models that identify patterns, risk factors and deviations from historical reference values. Results are output as key figures and short explanations.

3

Supporting implementation

Recommendations appear as concrete suggestions in the dashboard. The user still decides on execution - automated rules can be stored optionally.

Application

Concrete scenarios from practice

Three examples show how automated evaluation is used in different situations.

Arbitrage

Recognize price differences between exchanges

The dashboard compares price levels of the same asset across multiple exchanges and highlights discrepancies that are relevant beyond fees and transfer times.

Risk minimization

Make concentration risks visible at an early stage

If the share of an individual asset rises above a defined threshold, a warning appears in the dashboard - before the position dominates the entire portfolio.

Portfolio rebalancing

Check target weights automatically

Stored target quotas are regularly compared with the actual distribution. If there are deviations, the system suggests specific adjustments; execution can still be controlled manually or based on rules.

Questions & Answers

Technical and organizational questions

The following points are most frequently asked by investors in the B2B and Fintech environment.

How are API keys and credentials secured?

API keys are stored encrypted and are only used for the shared reading or trading rights that are specified when setting up the connection. Access can be revoked at any time via the respective exchange.

What is the latency between market data and dashboard display?

The update frequency depends on the respective Exchange API. In practice, the delay is in the range of seconds, depending on the network connection and the load on the connected platform.

How much control do I have over automated suggestions?

Each recommendation initially appears as a suggestion in the dashboard. Automated execution is optional and is activated via clearly defined rules that can be adjusted or deactivated at any time.

One dashboard for all Exchange connections - regardless of location.