Eisnouvo AI connects data from multiple exchanges and platforms into a single dashboard. Families and private investors see the full picture of their portfolio in one place, before making any decision.
Illustrative illustration of the single data tracking table across multiple sources.
Most investors today manage assets through different exchanges, bank accounts and investment platforms. Each source works separately, with a different data format and a different update rate. The result is a portfolio image that is manually reconstructed, often with a delay.
Each platform keeps its own data isolated. Composing a single image requires manual collection, with an increased risk of errors and omissions.
Analyzing many different reports at the same time tires the investor and leads to decisions based on partial information or simple intuition.
When data is gathered manually, the reaction to market changes usually comes later than the desired decision point.
The platform aggregates data from multiple exchanges and investment accounts in a single environment, without the need to transfer or copy data between applications.
Links to each source are automatically updated so the user can see current prices and positions without having to check each platform individually.
Eisnouvo AI models process large amounts of historical and current data to identify relationships and trends that are not apparent in a single observation.
The system analyzes portfolio dispersion and highlights areas of excessive risk concentration in a particular industry or asset type.
Based on historical patterns, the analysis suggests possible directions of change, without guaranteeing a specific outcome, but informing the investor's judgment.
The proposals are adapted to the investment horizon and risk profile of each user, based on the data they have connected to the platform.
The data path is transparent and structured in three stages, with an emphasis on security at every step.
Data is connected via encrypted connections to the exchanges and accounts of the user's choice, without storing passwords.
Machine learning algorithms process the aggregated data to identify trends, deviations and risk levels in the portfolio.
The results are converted into specific, understandable suggestions, which the user evaluates and decides whether to implement.
A family business with capital spread over three different investment platforms used the single dashboard to gain a complete picture of risk exposure. The analysis highlighted excessive concentration in one sector, which led to gradual reallocation and a more balanced portfolio.
A couple with savings in two brokerage accounts and a retirement plan used the platform to track overall performance in a space. The predictive cues helped them revise their liquidation time horizon, reducing exposure to short-term volatility.
Connections to exchanges and bank accounts are made through encrypted connections. The platform does not store passwords in simple form and limits access to the data only to the user himself.
Eisnouvo AI supports connection to multiple types of trading accounts and investment platforms. During registration, the user sees the list of available connections and can add or remove sources at any time.
The models analyze historical and current data to identify patterns of market behavior and levels of risk in the specific portfolio. The resulting suggestions are indicative and do not constitute a performance guarantee, but a tool to support the user's final decision.
Create an account on Eisnouvo AI and connect your first data sources to see your portfolio in a single, clean picture.