Festgeld Aktuell dashboard for real-time risk analysis of trading positions
AI-powered risk management

Real-time precision for your trading decisions

Festgeld Aktuell's smart stop-loss mechanism continuously evaluates market data and automatically adjusts threshold values. Result: lower drawdowns without limiting your trading frequency.

Mechanics

How the system reduces risk — and how it works

Two questions are at the center: why does the risk decrease and how does the AI generate its signals. Both are technically understandable, not a black box.

Why: risk reduction

  • Dynamic thresholds instead of fixed percentage marks Static stop loss limits ignore volatility. Festgeld Aktuell recalculates thresholds based on current market conditions.
  • Reduced correlation to market shocks The model detects phases of increased uncertainty earlier and narrows position boundaries accordingly.
  • Consistent application across all positions Emotional decisions are no longer necessary. The logic is rule-based and repeatable.

How: Predictive signals

  • Pattern recognition on historical and live data Models are trained on time series and continually compared with current price data.
  • Multi-factor analysis instead of single indicator Volatility, liquidity and momentum flow together into every assessment.
  • Low latency in signal output Calculations run on pre-processed data streams, not raw data in real time.
Process

From data stream to automated decision

Three steps that occur continuously and in parallel — not sequentially once a day.

01 — Capture

Data recording

Price, volume and order book data is continuously read and normalized before it reaches the model.

02 — Analysis

Pattern recognition

The model compares current patterns with historical scenarios and estimates the probability of drawdown phases occurring.

03 — Execution

Real-time response

If the risk assessment exceeds a threshold, the stop loss level is automatically adjusted or triggered.

The data pipeline is designed for high volume: tick data from multiple markets are processed in parallel without noticeably increasing the response time of the stop-loss mechanism.

Key figures

Effect on the stability of the portfolio

The following values are from backtests using historical market data. They are model results, not guaranteed live results.

–28% Ø Drawdown reduction in backtest versus fixed stop loss
< 80 ms Response time from signal detection to order adjustment
12 Market segments can be processed simultaneously in the test environment
5 yrs. Historical data period of the backtest basis

All information is based on simulated trading scenarios. Past model results do not allow any reliable conclusions to be drawn about future market developments.

background

Designed for users who base decisions on data

Festgeld Aktuell is built for market participants who treat risk as a measurable quantity — not a gut feeling. The platform provides signals that can be integrated directly into existing trading processes.

Instead of ready-made investment recommendations, the system provides risk assessments that you incorporate into your own decision-making logic. The control remains with you.

Festgeld Aktuell team analyzing market data and model parameters
Usage scenarios

From intraday trading to institutional capital protection

Two different use cases, same analytics engine.

Scenario A

Scalable recommendations for high-frequency environments

Day traders need signals in milliseconds, not minutes. Festgeld Aktuell processes multiple data streams in parallel and provides risk assessments that can be fed directly into automated order systems. The stop loss adjustment occurs without manual intervention, even at high trading frequency.

Scenario B

Strategic risk management for long-term capital preservation

Institutional decision makers work with larger positions and longer holding times. Here, the model provides aggregated risk indicators at the portfolio level and supports weighting decisions for individual positions - with the aim of limiting capital losses across market cycles.

FAQ

Technical questions about integration and security

Answers to the points that usually need to be clarified before a connection.

How does Festgeld Aktuell connect to existing trading systems?

The platform provides a REST API for signal query and configuration. Order execution still occurs via your own trading system or broker; Festgeld Aktuell provides the risk parameters for this.

How is market data and account information protected?

Data transmission is encrypted via TLS. Configuration data is stored separately from analysis data. Access rights can be restricted per API key.

What logic triggers the automatic stop loss?

The model combines volatility, momentum and liquidity signals to create a risk assessment. If this exceeds a configurable threshold, the stop loss level is adjusted or the position is closed — depending on your chosen setting.

Can the sensitivity of the system be adjusted?

Yes. Risk response thresholds can be configured per strategy or asset class, from conservative to reactive.

Which data sources are included in the models?

Historical and real-time price data, order book depth and volume data from the connected markets. Additional sources can be added via the API.

Secure the Edge now

Request access to the Festgeld Aktuell platform and test the adaptive stop loss mechanism with your own data.