Prägewertum Visualization of an AI-supported market data analysis

Informed decisions through AI precision for your additional income

Prägewertum evaluates market data in real time and makes the strategies of powerful AI models comprehensible and automatically copyable. This means you can make decisions based on data intelligence instead of guesswork.

Live analysis: The models continuously evaluate price data, trading volume and risk metrics from multiple sources and classify available strategies by risk profile.
Initial situation

Data-driven decisions cost time, which is often missing alongside irregular income

Those who work in the gig economy often plan income on a job-by-job basis. However, in order to make a well-founded investment decision, price trends, news situations and risk indicators would have to be continuously monitored - an effort that can hardly be afforded in the long term in addition to a variable main income.

Prägewertum carries out this evaluation with the help of predictive analytics: algorithms process large amounts of data and recognize patterns that would be difficult to understand manually in the time available. This results in strategy suggestions that can be replicated automatically.

The underlying models are continuously calibrated with current market and economic data. Each strategy recommendation also receives a risk classification so that decisions remain comprehensible instead of being based on vague forecasts.

Prägewertum team analyzing market and risk data
Features

How the analysis works in the background

Four building blocks form the functional basis of Prägewertum. Each of these addresses a specific step between raw data and executable strategy.

Real time

Real-time analysis of market data

Price trends, trading volumes and macroeconomic indicators are continuously processed so that strategy recommendations reflect the current market condition rather than being based on outdated information.

Risk

Structured risk management

Each strategy is ranked based on volatility, diversification and historical volatility. This allows you to estimate the risk associated with which position before making any decision.

Automation

Automated strategy copies

Instead of manually tracking individual trades, positions of selected AI strategies can be mirrored automatically. Adjustments to the original strategy are applied according to the selected parameters.

Database

Scalable data depth

The analysis draws on a growing number of data sources, from price data to sentiment indicators. You can adapt the scope of the database taken into account to your choice of strategy.

Process

From setup to ongoing strategy

Getting started follows three clearly defined steps. Each step builds on the previous one and remains visible to you at all times.

1

Data integration

You connect your trading account or create a test account. Prägewertum then begins reading in relevant market and account data without you having to maintain manual entries.

2

Strategy selection

The system suggests suitable strategies based on the risk profile, time horizon and available capital. You decide which strategy or combination will be adopted.

3

Automated execution

After your approval, Prägewertum automatically executes the selected strategy and adjusts positions according to the stored risk parameters. You have access to all activities at all times.

Methodology

How model quality and risk remain comprehensible

Instead of individual key figures, we present the procedure with which strategies are checked and classified before they are released for replication.

Model testing methodology

Example representation of recurring test cycles: Each strategy goes through backtests over several market phases and is then validated on current, previously unseen data before it is released for the automated copy.

Historical price trends serve as a training and testing basis, but do not replace a guarantee for future developments. Strategies are specifically tested in phases of high volatility.

Risk classification per strategy type

Conservative Low fluctuation range
Balanced Average fluctuation range
Growth oriented High fluctuation range

The classification serves as orientation before selecting a strategy and does not replace individual investment advice.

Frequently asked questions

Answers about security, payouts and AI logic

Experience has shown that users with irregular income ask themselves these questions most often before setting up Prägewertum.

How secure are my data and capital?

Your account details will be transmitted encrypted and used exclusively for analyzing and executing the selected strategy. Your trading account is accessed via your broker's interfaces; Prägewertum never manages your capital itself.

How frequently can I access earnings?

Earnings remain in your connected trading account and follow your broker's withdrawal rules. Prägewertum itself does not make payouts, but rather provides analysis and automated strategy execution.

What logic does the AI ​​use to make its decisions?

The models evaluate historical and current market data to derive probabilities for specific price movements. Each recommendation also contains a risk assessment so that you can understand the basis for the respective decision.

Start with a structured foundation rather than guesswork

Access to Prägewertum is free and non-binding. Setting up the analysis and connecting your trading account usually takes a few minutes.

Request free access now