Zenit Skarbelis analyzes market data in real time and translates it into specific recommendations. Each decision of the algorithm goes to public results logs, so you can verify the effectiveness of the strategy instead of relying on declarations.
Zenit Skarbelis was created for people who have capital and the intellectual need to understand how it is managed, but do not have time for daily analysis of charts. Predictive algorithms process market data non-stop, and you receive ready-made, justified recommendations.
Instead of promising results, we publish them. Each model decision - along with the market context that triggered it - is recorded in a log available for viewing.
Two processes form the basis of the platform: predicting market movements and ongoing risk mitigation. Both work in the background, filtering out information noise that typically requires hours of manual analysis.
The model analyzes thousands of data points - from trading volume to historical volatility - and extracts statistically significant signals from them. For you, this means you don't have to go through dozens of metrics yourself every day; you receive an already filtered application.
The system monitors portfolio exposure continuously and automatically adjusts parameters as market conditions change. Risk reduction is not a one-off decision made at the start - it is a process updated on an ongoing basis, without your intervention.
An evidence-based approach means we don't ask you to take our word for it. Each recommendation generated by the model – date, market context and result – is recorded in a log available for viewing.
Simplified view of changes in the portfolio's reference value over subsequent optimization cycles.
Selected journal entries - the full list is available after creating an account.
| Date | Decision type | Status |
|---|---|---|
| 04/03 | Exposure rebalance | Verified |
| 11/03 | Risk reduction | Verified |
| March 19 | Weight update | Verified |
Automation covers the entire cycle - from setting goals to implementing recommendations. Your role is limited to strategic decisions, not operational ones.
You determine your time horizon, risk tolerance and financial goals. This step takes a few minutes and is the only time where direct data entry is necessary.
The model processes market data and portfolio history, building recommendations in accordance with previously established parameters. The process runs in the background, without the need to log in every day.
You receive optimized recommendations with justification. You can confirm the implementation of changes in one move or let the system continue automation according to previously established rules.
Below we answer the questions most often asked by parents looking for a solution without everyday involvement.
Transactional and identification data are stored in encrypted form, and only processes necessary for the operation of the model have access to them. Public performance logs only contain anonymized decision data - never personal information or exact account values.
The model uses predictive algorithms trained on historical and current market data. Instead of forecasting individual events, it assesses the probability of scenarios and adjusts the portfolio risk level to them. Each decision is logged along with the parameters that triggered it.
The initial configuration takes from a few to several minutes. After its completion, the system operates in automatic mode, and your presence is only needed when reviewing periodic summaries or changing financial goals.
Setup takes just a few minutes, and you can make further decisions based on publicly available performance logs, not marketing claims.
Start your analysis