🇩🇪 KI-AppTM Real-time data analysis dashboard for trading decisions

Real-time data analysis for more precise trading decisions

🇩🇪 KI-AppTM continuously evaluates price, volume and order book data and organizes signals according to relevance. Every trading day ends with a comprehensible performance report.

Live display: analysis flow from incoming market data to structured signal output.

Live signals Updates continuously
DAX 40 Watch
BTC/EUR Active
Tesla Inc. Neutral
Data processing

How the analysis takes place in the background

The system processes incoming market data continuously instead of at fixed intervals. Predictive models compare current patterns with historical trends and classify them according to relevance for the chosen strategy.

  • Price trends at tick level
  • Trading volume per instrument
  • Order book depth and spreads
  • Short-term volatility indicators
Transparency

Every step is recorded, not just the result

Signals, times and results are recorded separately. This makes it clear where a recommendation comes from and how it has developed.

1

Analysis

The model evaluates current market data against historical patterns and highlights deviations that are relevant to the chosen strategy.

2

Execution

Every signal is logged with a time stamp - regardless of whether it actually leads to an order.

3

Reporting

At the end of the trading day, signals, execution times and results are available for direct comparison.

Risk score per position
Small deviation High deviation

Calculated from volatility, liquidity and position size in relation to the portfolio.

Risk management

A score does not replace your own examination, but rather a quick classification

Each recommendation receives a risk score that shows how much a position deviates from historical fluctuations. Traders decide for themselves whether it is within their own risk limit.

  • Volatility of the last trading days
  • Liquidity in the selected market
  • Ratio of position size to portfolio
  • Correlation to existing positions
Use cases

Adapted to different trading styles

Scalping

Signals are updated every second and are designed for tight spreads and high trading frequency. The focus is on order book depth and short-term tick volume rather than longer trend patterns.

Swing trading

The analysis relies on daily and weekly patterns rather than second-by-second data. Support and resistance zones are tracked across multiple trading days, not just the current moment.

Portfolio rebalancing

Rule-based suggestions for weighting individual positions are based on the stored risk budget and the correlation structure of the entire portfolio, not on an individual position.

Methodology

Technical basis instead of promises

Data sources
Price and order book data from licensed market data providers as well as historical time series of the respective trading instruments.
Model updates
Weekly follow-up training with current market data. Structural adjustments to the model undergo an internal review before rollout.
Latency
Analysis cycles run continuously in the background. Target value per cycle is less than 100 milliseconds in a productive environment.
🇩🇪 KI-AppTM working environment for model development and data analysis

Direct access to real-time analysis and daily reports.