AIpom analytics dashboard for data-based decision making
AI-powered investment decisions

Intelligent returns without complexity

AIpom continuously evaluates market data and controls positions automatically. The built-in smart stop loss system limits losses in real time without you having to intervene or monitor the market yourself.

Automatic capital protection through dynamic stop loss management
Initial situation

Manual decisions create risk that can be avoided

The problem with manual trading

Anyone who monitors positions themselves makes decisions under time pressure and uncertainty. Panic selling in falling markets and missed exit points are common consequences of emotional control. There is also the technical hurdle: chart analysis, risk metrics and backtesting require specialist knowledge that most private investors do not want to develop.

The data-driven approach

AIpom takes over the ongoing evaluation of market and portfolio data and makes position decisions according to defined rules. This removes emotional decisions from the process. You don't need any programming knowledge or daily market observation to benefit from a structured strategy.

Unique selling point: Smart Stop Loss

Unlike static stop-loss levels, the threshold dynamically adjusts to volatility and trend progression. This reduces unnecessary exits in normal fluctuations while limiting the risk of loss in true downward movements.

Technology

Predictive algorithms with a focus on capital protection

Analysis

Predictive analytics

Models evaluate historical and current market data to identify trends and volatility patterns at an early stage. The forecasts flow directly into position control, not just into reports.

Protection

Smart stop loss

The system continually calculates adjusted exit points based on real-time risk management. Drawdowns are limited without hastily closing viable positions.

Control

Real-time optimization

Portfolio weights are continually adjusted to new data. The safety-first approach prioritizes capital preservation over short-term return maximization.

Process

Three steps to an automated strategy

Data connection

You connect your depot or your data source via a secure interface. No prior knowledge of programming or chart analysis is necessary.

AI analysis

The algorithms evaluate market and portfolio data and create an individual risk profile as a basis for control.

Automated execution

Positions are adjusted according to the analysis, secured against excessive losses by the Smart Stop Loss system.

Traceability

Transparency instead of promises

Backtesting methodology

Every strategy adjustment is first tested against historical market data over several market phases before it becomes active in the system.

Risk model

The model weights volatility, correlations and liquidity to continually recalculate position sizes and stop-loss distances.

Safety standards

Data connections run over encrypted interfaces. Access rights are assigned according to the principle of minimum authorization.

About AIpom

Designed for clarity rather than speculation

AIpom was designed as a decision-making platform for investors and companies that want to use data-based control without their own analysis effort. The algorithms continuously learn from new market data and adjust risk parameters instead of applying rigid rules unchanged.

The focus is not on maximizing short-term profits, but rather on a reliable ratio of return and risk - clearly documented and constantly verifiable.

AIpom team developing data-driven risk models
Next step

Start your automated investment strategy

The Smart Stop Loss system limits your downside risk from the start. In the initial consultation, we clarify which data connection and risk settings suit your situation.

Get a free initial consultation