Manual chart analysis costs time and misses patterns in millisecond data. Dzoskaruma connects to your trading interface and delivers quantified recommendations before the next chart is loaded.
Automate your portfolio nowPrice data, order book depth and volatility indicators are continuously evaluated and not queried periodically.
The model compares current price formations with historical data sets and highlights statistically relevant repetitions.
Recommendations are based on defined thresholds - not on daily form or market sentiment.
Dzoskaruma is designed for market participants who want to make decisions based on data without being data scientists themselves. The underlying models evaluate publicly available market data, historical price trends and order book information.
Instead of blanket buy signals, the system provides comprehensible key figures on risk, probability and expected fluctuation range for each position. Each recommendation can be traced back to the underlying parameters.
Connect a depot or broker via a secure interface – without code.
Define risk profile, target return and trading frequency in just a few fields.
Model calculates scenarios and delivers prioritized recommendations in real time.
Volatility cannot be eliminated, but it can be classified. The model weights positions based on historical fluctuation ranges and current correlations between asset classes in order to make cluster risks visible at an early stage.
Instead of issuing a single forecast, Dzoskaruma compares several scenarios with each probability of occurrence. The decision as to which risk is acceptable remains with you - the model provides the basis for this.
The meaningfulness of a model depends on the quality and timeliness of its data. The following points describe how Dzoskaruma handles this.
Price, volume and order book data are brought together from multiple sources and checked for consistency before being incorporated into the models.
Models are regularly readjusted based on new market data to reduce distortions caused by outdated patterns.
The infrastructure is designed to serve individual users and larger portfolios with the same update frequency.
Calculations run continuously in the background, so recommendations are not based on outdated daily closing prices.
Connect the interface, set the parameters, start the analysis – the entire setup process is completed in under 60 seconds.