Tivun Zaroliva processes market data in real time, quantifies risk and provides recommendations for action based on historical backtests rather than guesswork.
Professional traders process more data points every day than can be evaluated manually. Price movements, news flows and order book data overlap in milliseconds. If you rely solely on experience, you lose out on the edges of reaction time.
Tivun Zaroliva filters relevant patterns from this noise and presents them in a form that can be directly translated into decisions.
Three components work together to derive reliable options for action from raw data.
Models continually evaluate price, volume and sentiment data and assign probabilities for short and medium-term price scenarios. Results are reported with confidence values, not as an absolute forecast.
Each recommendation contains defined risk parameters: maximum position size, correlation check to existing positions and dynamic stop limits based on volatility clusters.
Recognized patterns are transferred to connected trading systems without any manual intermediate steps, so that the time between recognition and reaction is minimized.
Historical price, volume and event data are cleaned and checked for consistency across multiple market phases.
Rule-based and model-driven strategies are simulated against the historical data set, including transaction costs and slippage assumptions.
Results are tested against each other over different time periods and market conditions to detect overfitting.
Only strategies that meet defined stability criteria over multiple test cycles are released for productive use.
Historical backtests serve to test methods and do not represent a guarantee for future results. Past performance does not allow a reliable statement to be made about future returns.
Institutional teams use Tivun Zaroliva to base portfolio decisions on aggregated risk metrics rather than isolated individual analysis. Scenarios can be checked against historical market phases before implementation.
The platform complements existing analysis processes without replacing internal control mechanisms.
For active traders, Tivun Zaroliva continuously provides filtered signals with confidence information so that positioning remains justified and comprehensible. B2B strategists use the same database for medium-term market assessments.
Both use cases use the same model architecture, but differ in the time horizon of the evaluation.
Tivun Zaroliva was developed to structure decision-making processes that are often made under time pressure. The focus is on comprehensible models instead of general forecasts.
Every feature of the platform is designed to make risk visible before a decision is made, not after.
The processing time depends on the connection to the respective trading system. With direct API integration, the internal signal processing is in the millisecond range; The actual execution time is determined by the connected broker.
The platform processes market data from licensed data feeds, historical price series as well as structured news and sentiment data. An overview of active sources is provided in the onboarding process.
Yes. Position sizes, maximum drawdown limits and volatility thresholds can be configured per user account so that the output of the models fits the respective risk framework.
Access data and trading interfaces are transmitted encrypted and stored separately from analysis data. Interested parties will receive details of processing processes upon request in the initial consultation.
The connection takes place via standardized interfaces. In most cases, existing systems can be integrated without major adjustments; The exact effort will be clarified in the initial technical discussion.
Leave your work email address. We will contact you with access to the demo environment and a brief overview of which modules are relevant to your trading profile.