Ulenastor scans 500+ market pairs in real time, measures risk and gives you precise, actionable advice. Your decision time is reduced to minutes.
It is designed for households planning family budgets and institutions making strategic investment decisions.
The system does not depend on a single data source. It evaluates market movements, liquidity changes and historical patterns together.
The algorithm tracks more than 500 market pairs simultaneously. Price, volume and volatility data is updated within seconds; You cannot make decisions with delayed data.
The model compares the patterns it learns from past price movements with current data. The result is not a single number; It is a prediction supported by a range of possibilities.
Noisy signals are extracted. The system only recommends opportunities that exceed a set threshold and match your risk profile; The list of results is short and to the point.
Each proposal goes through four stages. None of the stages are skipped; this makes it retroactively traceable to why the conclusion was suggested.
Market prices, volume data and macroeconomic indicators are collected simultaneously. Missing or inconsistent data points are removed before processing.
The model compares the cleaned data with historical patterns. At this stage, more than 500 pairs are evaluated in parallel and the first set of signals is generated.
Each signal is scored according to user-defined risk limits. Suggestions that exceed the limit are automatically eliminated; The remaining list is sorted by risk level.
The system provides a clear recommendation with justification: which data point stood out, at what risk level it stands, and the validity period of the recommendation.
The data sources we use are regularly cross-checked. When an inconsistency is detected, the relevant data point is removed from the process and the recommendation is recalculated. The system never produces a final recommendation with missing data.
The same analysis engine is used at two different scales. The input is different; The method remains the same.
Middle-income families do not want to take unnecessary risks while directing their savings to long-term goals. The system generates recommendations based on the risk limit set by the household; This does not show options that go out of bounds.
Once the monthly income-expense balance and current savings amount are entered into the system, suggestions are limited to these data. If speculative opportunities do not fit the family profile, they are not listed.
Strategic investors and institutions must compare multiple scenarios in the decision process. The system creates a separate risk profile for each scenario and provides a comparative output.
For institutional users, the depth of analysis can be increased: sector-based filtering, liquidity threshold and time horizon can be defined. The output is prepared to be directly referenced in the decision meeting.
Trust is built through technical clarity. We share below how the algorithm works and how the data is protected.
The model compares statistical patterns extracted from historical price series with current market data. Each recommendation requires the agreement of at least three independent data signals.
User data is stored encrypted and access authority is limited based on role. Financial data is not shared with any third party except for analysis.
Market price flows, transaction volume data and publicly available macroeconomic indicators are used. Sources are cross-checked regularly.
The model runs again when market data changes. The update frequency varies depending on the activity of the tracked couple.
The risk limit is defined by the user. The system takes this limit as a reference and does not show suggestions that go beyond it.
No. Outputs are probability-based predictions; The result may change when market conditions change.
Yes. Parameters such as sector filter, liquidity threshold and time horizon can be set in institutional accounts.
After creating an account, you define your risk limit; The system offers its first recommendation within minutes.