Algorithm Capabilities
Machine learning technologies applied to market data analysis
24/7
24/7 Analysis
Algorithms operate around the clock, monitoring market data and reacting to changes without delay.
Data
Algorithmic Trading
Decisions are made based on mathematical models and historical data, without subjective factors.
<0.03s
Fast Execution
Average order execution speed less than 0.03 seconds. Servers located near exchange infrastructure.
1000+
Multi-Factor Analysis
Simultaneous analysis of multiple market parameters: price patterns, volumes, indicators, correlations.
How the Algorithm Works
5 stages of data processing for every trading decision
Data Collection
Receiving real-time market data from leading cryptocurrency exchanges
Pattern Recognition
Algorithm identifies price patterns, support and resistance levels
Signal Generation
Generation of trading signals with probability assessment and risk/reward ratio
Risk Management
Automatic stop-losses, position size control, and volatility detection
Execution
Order placement on real exchanges with minimal slippage
Trading Strategies
Each strategy has been backtested on historical data. Backtesting results are shown below.*
Mean Reversion
Top PerformerMean reversion strategy. Uses RSI and Bollinger Bands to identify potential entry points when price deviates from the mean value.
Frequency
Low
Stop-Loss
ATR
Mode
24/7
Adaptive Strategy
Self-AdaptiveDetects current market regime (trend, range, high volatility) and adapts parameters. Skips periods of extreme volatility.
Frequency
Medium
Stop-Loss
ATR
Mode
24/7
Scalping
High FrequencyShort-trade strategy aimed at extracting profits from micro market movements. Increased trading frequency.
Frequency
High
Stop-Loss
ATR
Mode
24/7
* Metrics obtained from backtesting on historical data and are not a guarantee of future results.
99.9%
High Availability
<0.03s
Avg Execution
24/7
Monitoring
5+
Supported Assets
* Target metrics based on backtesting. Actual results may vary.
How Algorithms Manage Risk
Built-in risk control mechanisms aim to limit potential losses but cannot completely eliminate them.
Automatic Stop-Loss
Every trade has a predetermined ATR-based stop-loss to limit potential losses.
Position Sizing
Maximum 5% of allocation per trade. Capital is protected from risk concentration.
Volatility Detection
The algorithm automatically skips periods of extreme volatility, reducing the probability of losses.
Diversification
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 your invested capital.
AI Trading FAQ
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 invest funds you can afford to lose.
Trades are executed via leading cryptocurrency exchange APIs. This provides access to high liquidity and competitive pricing.
Strategies are regularly reviewed based on current market conditions. The adaptive strategy automatically adjusts parameters depending on market regime.
Yes, on the traders page you can review profiles of all AI bots, their historical statistics and strategy, then choose the right one.