Palme Rentholm continuously analyzes market data and translates patterns into concrete recommendations for positioning and risk management. The platform is built for traders who require traceability at every step of the analysis.
Start the analysisThe models in Palme Rentholm combine historical patterns with ongoing market data to provide an updated risk picture, without you having to monitor each data stream manually.
Price data, volume and order book depth are processed continuously and compiled into a common analysis basis.
The models are weighted differently according to the instrument's volatility and historical liquidity pattern.
Each recommendation is followed by a documented risk estimate, so that the decision basis can be verified.
The process is divided into three steps, so that it is always possible to track how a recommendation has arisen.
Market data, news feeds and order book information are collected continuously from associated sources and normalized into a common format.
The predictive models assess patterns across time series and calculate probability-weighted risk for each instrument.
The recommendations are adjusted against defined risk frameworks, so that the output is adapted to the individual trader's tolerance level.
The same models can be configured differently depending on the time horizon and risk tolerance. Below are three examples of how the framework can be used.
The model weights recent price movements more highly to identify short momentum windows within the same trading day.
The analysis compares implicit and realized volatility to uncover deviations that can form the basis for positioning.
The models consider covariation between instruments to support decisions about diversification and exposure over time.
Palme Rentholm is designed for users who expect every recommendation to be supported by data. The system is set up so that the analysis basis can always be reviewed, regardless of whether the user is an individual day trader or part of an institutional management department.
Below are answers to questions we receive most often from users with a technical background in trading and data analysis.
Palme Rentholm obtains market data from affiliated market data providers, including price, volume and order book information. All sources are normalized before they are included in the model basis.
The processing time varies with the instrument's data volume and the market's opening hours, but the architecture is built for continuous processing rather than periodic batch updates.
Yes. Integration takes place via API, and access is structured so that existing systems can receive recommendations without having to significantly change the existing workflow.
All communication between Palme Rentholm and connected systems is encrypted, and access control follows the principle of least necessary rights.
The system is built with documentation and traceability as a general principle, so that it can be adapted to the reporting requirements that apply to Norwegian and Nordic actors.
Access the platform and test how the real-time analysis and risk models work on a selection of your own instruments.