Analytics for day traders
ZreloTijek tracks market patterns in real time and suggests entry moments through an automated DCA approach. Instead of tracking every price move, you define the risk range, and the system adjusts the size and timing of investments according to signals that filter out short-term noise.
Most decisions in the market fail not because of a lack of information, but because of the moment in which they are made.
When the price drops sharply, it's hard to stick to the plan. It enters growth too late, exits the decline too early, and decisions are made under pressure instead of according to strategy.
The system processes historical and current data, picks out patterns that precede more stable entry zones, and suggests an investment schedule that adjusts to volatility.
The three layers of the system work together: capital allocation, risk assessment and adaptation to the user's profile.
Instead of a fixed investment schedule, the system increases the amount of input during confirmed volatility dips and decreases it when conditions are uncertain. The goal is a more even average entry price over a longer period.
The model processes millions of data points — price patterns, liquidity and historical volatility — to estimate the likelihood of a favorable entry zone and reduce risk exposure before that zone closes.
Settings are adjusted to your risk profile, time horizon and target exposure level. A strategy that corresponds to a conservative approach is different from one intended for active trading.
A transparent path from raw market data to a concrete investment signal, with no hidden steps.
The system continuously collects data on price, volume and liquidity from relevant market sources, with standardized data processing and quality control.
Machine learning models compare current conditions with historical patterns to identify zones of increased probability of stable entry.
When the signal is confirmed, the algorithmic trading distributes a predefined amount according to your settings, with a record of each executed decision.
The behavior of the strategy adapts to the phase of the market, rather than following a fixed pattern.
The emphasis is on capital preservation. Enter gradually, with smaller positions and tighter risk controls until volatility stabilizes.
When the trends are confirmed, the investment schedule is adjusted to take advantage of more stable growth dynamics without excessive exposure to one moment.
In periods without a clear trend, the system reduces the input frequency and waits for signal confirmation before the next capital allocation.
ZreloTijek was born out of a need to make automated market analysis tools available to traders who value process transparency. Each entry recommendation is based on verifiable data signals, not arbitrary assumptions.
The platform does not rely on returns guarantees, but on the consistent application of a strategy that reduces the impact of emotional decisions on the long-term result of the portfolio.
Answers to the technical and security questions that traders most often ask us.
Access keys for connected platforms are encrypted before storage, and are used exclusively with the authority necessary to analyze and execute orders, without access to withdrawal of funds. Access to data is limited to personnel involved in system maintenance.
The connection takes place via API integration with supported platforms, with the possibility of restricting permissions at the level of the API key itself. We recommend using scope-restricted keys when setting up for the first time.
During sudden market movements, the algorithm temporarily reduces the size of individual inputs and looks for signal confirmation over a longer time frame, to avoid reacting to short-term anomalies in the data.
Pricing plans are published on the benefits page and are based on the volume of markets monitored and the number of active strategies. There are no hidden fees per transaction beyond those charged by your exchange or broker.