Lior Orvalis continuously analyzes crypto markets and transforms volumes of complex data into clear recommendations, accompanied by daily reports that you can verify yourself.
Discover the methodologyDigital asset markets produce continuous signals: prices, volumes, news, on-chain movements. This constant flow creates what we call informational noise, that is to say numerous but poorly hierarchical data.
Manually tracking these variables to adjust an allocation requires time and discipline that few individual investors can maintain over time. It is precisely this sorting and prioritization work that Lior Orvalis takes care of.
Lior Orvalis leverages statistical models and learning algorithms to process large volumes of market data. Each recommendation remains documented so that you can understand its origin.
Price, volume and news feeds are processed continuously, which makes it possible to detect significant variations as soon as they appear, without waiting for manual consolidation.
The models identify correlations between assets and adjust recommended exposure thresholds to limit the impact of sudden movements on the entire portfolio.
A daily report details the movements observed, the adjustments proposed and their justification, so that transparency remains at the heart of each decision.
The approach remains linear and verifiable at each stage, which makes it possible to understand how a recommendation was constructed.
Market information, trading volumes and on-chain indicators from multiple sources are collected and normalized to form a common basis for analysis.
Statistical models evaluate possible allocation scenarios taking into account the desired level of risk and correlations between portfolio assets.
The recommendations adopted are formulated in clear language and accompanied by a daily report, which you remain free to apply or not.
Lior Orvalis was designed for cautious profiles, who want to understand the logic behind each recommendation before applying it. Artificial intelligence is used as a decision-making tool, never as a promise of automatic gain.
Each daily report includes the variations observed in your portfolio, the suggested adjustments and the data that motivates them, so that human supervision remains complete at each stage.
Lior Orvalis does not require direct access to your assets. The platform analyzes market data and sends you recommendations; the execution of transactions remains your responsibility, which limits the exposure linked to the custody of funds.
The models are based on public market data (prices, volumes, order book depth) as well as freely accessible on-chain indicators. No sensitive personal data is required for analysis.
A report is sent every day, summarizing the changes observed and the suggested adjustments. You retain the possibility of consulting the complete history to follow the consistency of the recommendations over time.
No. Predictive models structure the information and suggest allocation options, but the final decision remains entirely yours. The objective is to reduce analysis time, not to replace it.
Join investors who prioritize data over intuition and who want to follow, day after day, the logic behind each recommendation.