AI-powered data analysis for day traders
KursSparhed collects real-time data from your connected exchanges, runs it through predictive models and translates patterns into concrete recommendations, so you can reduce the time spent on manual comparison between platforms.
Most day traders monitor order books, spreads and volume across separate platforms. Each exchange has its own interface, its own latency and its own way of presenting data. The result is a fragmented overview and decisions based on partial information.
KursSparhed aggregates these data streams into a single dashboard and lets the models do the heavy lifting of analysis while you retain final decision-making responsibility.
The platform acts as an intermediate layer between the raw data streams from your connected exchanges and the final trading decision. Data is normalized, cleaned of inconsistencies and analyzed continuously, so that you always work with a current and coherent picture.
Rather than replacing your judgement, KursSparhed structures the information you already deal with and highlights the patterns that are statistically most important to the outcome.
The models analyze historical and current price movements to identify patterns that often precede significant price fluctuations. The result is presented as a degree of confidence, not as a promise of outcome.
Via a common API structure, several exchanges are connected to the same dashboard. Data is normalized so order books and volume can be directly compared, regardless of the platform the information originally comes from.
Each position is continuously assessed based on volatility, exposure and correlation to other positions. The engine marks increased risk before it becomes visible in an overall portfolio loss.
Market data, order books and trade history are continuously pulled from your connected exchanges via their respective APIs and normalized into a common format.
Data is run through models trained to recognize patterns in volume, spread and price movement that have historically had predictive value for short-term fluctuations.
The result is translated into a concrete recommendation with associated confidence level and risk assessment, which is displayed in the dashboard for your final assessment.
API keys are associated with limited rights, allowing the platform to read market data and portfolio status without being able to move funds away from your account. Keys are stored encrypted and can be revoked at any time from your own exchange account.
The latency depends on the individual exchange's own API response. Our pipeline is built to minimize internal processing time, but the overall speed can never be faster than the slowest connected data source.
Technical documentation, including supported exchanges and API endpoints, is available to registered users via the platform's documentation page after setting up your first integration.
There are several subscription levels depending on the number of connected exchanges and access to extended model features. Details of the specific levels are reviewed in connection with setup.
Yes. The risk management engine can be configured to respect your existing exposure limits, so that recommendations are always displayed within the framework you have defined yourself.
Setup simply requires connecting your existing exchange accounts via API. No migrating portfolios, no changing your current trading habits.