Terso Beniaggio applies stochastic models and data intelligence to analyze large volumes of market data in real time, flag changes in risk and generate operational recommendations. Each processing is accompanied by a consultable daily report.
Discover the platformThe dashboard displays current risk exposure, active recommendations and reporting history, updated every business day.
A portfolio or investment plan requires constant monitoring of dozens of variables: trading volumes, sector news, correlations between assets, variations in volatility. Done by hand, this analysis takes hours each week and often lags behind market movement.
The cost is not just time: it is the value of decisions made with already outdated data. Terso Beniaggio predictive models process the same data in real time, flagging significant changes before they become visible in traditional reporting.
The system combines stochastic models, real-time processing and risk optimization rules. Below is a brief explanation of each component.
Stochastic models estimate the probability of different market scenarios from time series and current signals. In practice, the system does not predict a single outcome but assigns a probability to multiple scenarios, allowing risks and opportunities to be assessed with greater precision than a specific analysis.
Each recommendation is accompanied by a risk exposure index, calculated by comparing historical volatility and correlations between assets. When the index exceeds a defined threshold, the system signals the need for a review.
The same analytics engine processes data for portfolios of different sizes, from a single position to a larger set of assets. The recommendations remain proportionate to the capital and risk profile indicated during the configuration phase.
The central component of the platform is not the forecast itself, but the possibility of checking the results in readable form, day after day.
The report does more than just show an aggregate result. It reports the composition of active recommendations, the estimated risk exposure and the deviation from the reference benchmark, so as to be able to compare the results with objective parameters instead of relying on a subjective judgement.
Three phases, designed to require little initial effort and quick daily review.
Connect relevant data sources — portfolio, market feed, personal risk parameters. The operation requires filling out an initial profile and does not require technical skills.
The predictive engine processes data in real time and generates operational recommendations, updating the estimated risk exposure with each significant market change.
Every business day you receive a report with results, active recommendations and risk indicators. The review takes just a few minutes, keeping the operational effort low.
The stochastic models used estimate probabilities, not certainties. Each recommendation is subject to a risk exposure limit defined during profile configuration, and the thresholds can be modified at any time.
Initial setup requires filling out a risk profile and connecting data sources, which typically takes one session. Subsequently, the commitment is reduced to reading the daily report, which summarizes the recommendations and risk indicators.
Portfolio and market data are used exclusively for analyzing and generating reports. The platform does not share this data with third parties for commercial purposes unrelated to the provision of the service.
Initial setup takes a few minutes. The first daily report is available at the end of the first processing of the linked data.