Prognarium analysis platform used for location-independent investment decisions
AI-powered investment analysis

Automate your investment decisions with back-tested strategies

Prognarium processes market data in real time and provides recommendations that work regardless of time zone and location. Precise data analysis creates the basis for freedom without neglecting risk management.

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Technical basis

How the analysis engine works in the background

Three technical components ensure that decisions are based on current data, even while you are on the move.

01

Predictive algorithms

Models recognize patterns in historical and current price trends and derive probabilities for future market movements. The forecasts are continually calibrated with new data.

02

Real-time data streams

Millions of data points from prices, news and order books are constantly processed. This means you won't miss any relevant market movements, even if you're sleeping in a different time zone.

03

Risk limitation

Each recommendation is checked against defined risk parameters before it is executed. Position sizes and stop limits adapt to current market volatility.

Methodology instead of promises

Transparent validation instead of testimonials

Instead of advertising with customer testimonials, we reveal how strategies are tested before use.

Backtesting procedure

Each strategy is first tested against historical market cycles, including periods of high volatility and prolonged sideways movements. Only after passing the test will it be released for live use.

Multiple market cycles

Validation occurs across different market phases, not just a single uptrend. This reduces the risk that a strategy will only work under ideal conditions.

Safety standards

Data is transmitted encrypted via an API and access is logged. The platform follows common SaaS security practices for financial applications in the DACH region.

Prognarium team developing the analysis platform

Designed for investors without a fixed location

Prognarium was born from the observation that classic portfolio monitoring is poorly suited to life without a permanent job. Time zone changes and irregular internet connections make manual decisions difficult.

The platform takes over ongoing data evaluation and reduces the need for constant manual control without relinquishing control of parameters and risk settings.

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Process

Three steps from setup to report

The workflow is designed for travel: configure once, monitor continuously, retrieve reports asynchronously.

Configure parameters

They determine risk tolerance, capital deployment and preferred asset classes. These settings form the guardrails for all further decisions made by the engine.

AI optimization

The engine continuously compares your parameters with current market data and adjusts positions within the specified limits, even outside of your working hours.

Automated execution

Confirmed decisions are executed and summarized in a report that you can view with Internet access, regardless of your location.

Use cases

How the engine reacts to specific market situations

Three examples show what decisions analysis makes in everyday life.

Strategic rebalancing

Automatically keep portfolio weights within the target range

If the weighting of individual positions shifts beyond the defined threshold due to price movements, the engine triggers a rebalancing. The capital structure therefore remains close to the originally defined strategy without you having to intervene manually.

Target corridor±3%
Check intervalOngoing
interventionAutomatically
Sentiment analysis

Derive market sentiment from news and trading data

The engine evaluates news sources and trading volumes to identify shifts in sentiment at an early stage. These signals are considered as one factor among several in the decision-making process, not as the sole trigger.

Data sourcesNews, order book
WeightingOne factor of several
UpdateReal time
Volatility protection

Reduce position sizes if the fluctuation range is increased

If the short-term volatility of a market increases significantly, the engine reduces the position size or tightens stop limits. The aim is to preserve capital in turbulent market phases, not to maximize short-term profits.

TriggerIncrease in volatility
reactionPosition reduction
PriorityCapital preservation

Your data strategy awaits

Set up your parameters and let the analysis run while you focus on your next stop. Access to the platform can be set up in just a few minutes.

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