Corivitus continuously analyzes over 500 market pairs and condenses this data stream into readable recommendations, to reduce the time spent monitoring prices and the risk associated with rushed decisions.
Corivitus aggregates market data feeds, applies pattern recognition models, then renders only the variations deemed significant. The objective is not to produce more information, but to remove the noise to keep only what really influences a decision.
This approach is aimed at users who wish to delegate technical monitoring without giving up final control over their allocation choices.
The engine crosses several families of indicators — volatility, volume, correlations between assets — to establish probabilistic scenarios rather than simple trend extrapolation. Each recommendation comes with an explicit confidence level, so you can weigh its use in your own strategy.
Quote feeds are continuously ingested and compared to your interest thresholds. When a significant deviation is detected, an alert is generated without waiting for a full analysis cycle, which limits the time between the market event and its inclusion in your dashboard.
Each recommendation includes an assessment of the associated risk, calculated from the recent volatility of the asset concerned. Safety thresholds, defined according to your tolerance, limit exposure automatically reported as excessive, without replacing your final decision.
Quotes from more than 500 pairs are continuously collected from market sources, normalized and then time-stamped to ensure consistency of comparisons over time.
The models identify recurring patterns and statistical anomalies, considering cross-correlations between assets rather than isolated pair-by-pair analysis.
The result is presented in the form of a readable recommendation, accompanied by a confidence level and a reminder of the estimated risk, for quick reading before any decision.
You define your alert thresholds and consult the dashboard for a few minutes per day, without having to monitor prices continuously to spot an opportunity.
Recommendations flag pairs that are changing in their correlation with your portfolio, making it easier to periodically rebalance based on current data rather than intuition.
More experienced users leverage multi-vector indicators to refine their own models, using Corivitus as a complementary analysis layer to their existing method.
Corivitus は、手動分析でカバーできる範囲をはるかに超える量の市場データを処理するように設計されています。このアプローチは指標を増やすのではなく、明確さを優先します。各推奨事項は、それを生成したデータまで追跡可能です。
この厳格さは、グラフィックを蓄積するためではなく、日常的に素早く読むために設計された、意図的に地味なインターフェイスに変換されます。
さらに詳しく相場は標準的な市場フィードから継続的に収集され、ペアと期間の間で一貫した比較ができるように正規化されます。 No data is generated synthetically.
Corivitus は監視と分析を自動化しますが、最終的な決定はユーザーが行います。これに費やす時間は、追跡するために選択したしきい値と資産の数によって異なります。
各推奨事項には、資産の最近のボラティリティに基づいて計算されたリスク推定が伴います。安全しきい値は調整可能で、露出が多すぎると思われる位置の強調表示を制限します。