Machine learning technologies applied to market data analysis
24/7
Algorithms operate around the clock, monitoring market data and reacting to changes without delay.
Data
Decisions are made based on mathematical models and historical data, without subjective factors.
API
Orders are sent for execution automatically through our trading partners. Actual speed depends on market conditions and network load.
Multi
Simultaneous analysis of multiple market parameters: price patterns, volumes, indicators, correlations.
5 stages of data processing for every trading decision
Receiving real-time market data from leading cryptocurrency exchanges
Algorithm identifies price patterns, support and resistance levels
Generation of trading signals with probability assessment and risk/reward ratio
Automatic stop-losses, position size control, and volatility detection
Order placement through our trading partners
Each strategy has been backtested on historical data.
Mean reversion strategy. Uses RSI and Bollinger Bands to identify potential entry points when price deviates from the mean value.
Stop-Loss
ATR
Mode
24/7
Detects current market regime (trend, range, high volatility) and adapts parameters. Skips periods of extreme volatility.
Stop-Loss
ATR
Mode
24/7
Short-trade strategy aimed at extracting profits from micro market movements. Increased trading frequency.
Stop-Loss
ATR
Mode
24/7
6+
AI Strategies
24/7
Monitoring
5+
Supported Assets
* Past performance does not guarantee future returns.
Built-in risk control mechanisms aim to limit potential losses but cannot completely eliminate them.
Every trade has a predetermined ATR-based stop-loss to limit potential losses.
Maximum 5% of allocation per trade. Helps limit risk concentration.
The algorithm automatically skips periods of extreme volatility, reducing the probability of losses.
Funds are distributed across multiple assets to reduce risk concentration. Proportions depend on the strategy.
Risk Warning: Algorithmic trading of digital assets involves a high level of risk. Backtesting results are not a reliable indicator of future returns. You may lose part or all of the funds you allocate.
Algorithms are tested on at least 12 months of historical market data. Each strategy undergoes backtesting on real data before launch. Backtesting results are not a guarantee of future returns.
Yes, trading always involves risks. Algorithms are designed to manage risk through stop-losses, position control, and skipping dangerous periods, but cannot completely eliminate losses. Only allocate funds you can afford to lose.
Trades are executed on your Spot or Margin account through our trading partners.
Strategies are regularly reviewed based on current market conditions. The adaptive strategy automatically adjusts parameters depending on market regime.
Yes. In the app you can review the profiles of all AI bots, their historical statistics and strategy, and choose the one that suits you.