Čelomíra UI connects your account to a predictive model that continuously evaluates volatility, exposure and asset allocation. Setup takes place in one step, without manual configuration of strategies.
An investor who monitors a portfolio manually evaluates dozens of variables hours or days apart. Emotional decision-making and delayed reaction to volatility are the most common source of inefficient entry and exit of positions.
Čelomíra UI replaces this cycle by continuously evaluating the data in real time. The model continuously compares the current state of the market with historical patterns and adjusts the recommended allocation without the delay caused by human decision making.
After connecting the portfolio, you define the limit of acceptable risk. On this basis, the engine proposes and performs allocation adjustments without requiring your active participation at every market change.
The account is connected via a secure API without the need to enter trade orders manually.
The algorithm recalculates likely development scenarios based on current market data, not just historical averages.
Adjustments of positions only take place within the limits that you approved as acceptable risk during setup.
All data and recommendations are displayed in one panel, separate from the trading platform interface.
The input data from the connected account undergoes normalization, after which the model compares it with the current market structure and generates a set of recommended adjustments. The execution module implements these recommendations only if they correspond to the risk limits defined by you. The entire cycle is repeated continuously, without the need for manual confirmation of each individual adjustment.
Every step of the process is recorded and available for review. The goal is to be able to trace back and explain the model's decisions, not just trust the output without validation.
Authorization via an API key with limited authority, without access to resource selection.
You enter the maximum acceptable volatility and allocation range between asset classes.
The model generates scenarios and selects the allocation with the best ratio of risk and expected return.
Approved adjustments are made and recorded in an audit log available for review.
For a portfolio spread over several cryptocurrencies, the model monitors correlations between assets and, in case of increased volatility, suggests moving part of the exposure to more stable positions. The decision is based on defined risk limits, not a one-time estimate.
Corporate and individual investors use the model's outputs as a basis for decisions on the distribution of capital between conservative and riskier positions in the longer term. The model provides a comparison of expected scenarios, the final decision remains with the user.
Each recommendation and execution is recorded in the audit log with a reference to the input data and the rules used. This log is available for the user to review and can be used to trace back why the allocation was modified.
No. API permissions used when connecting an account are limited to reading data and entering trade orders within approved limits. Fund selection is not technically possible.
The model preferentially adjusts the allocation towards assets with higher liquidity if volatility exceeds a defined limit. The decision on the extent of adjustment always respects the risk limits set by the user during setup.
Connecting an account and defining risk limits usually takes 60 seconds. The time may vary depending on the speed of authorization on the side of the exchange or broker.
Yes. Risk limits as well as the activation of automated execution can be changed or suspended at any time directly in the user panel, without the need to contact support.
Connect an account, define risk limits and let the predictive model take over the continuous evaluation for you.
Trading in cryptoassets carries the risk of losing invested capital. Model outputs are a basis for decision-making, not a guarantee of yield.