AI Trading Bots

Algorithms analyze market data in real-time to generate trading signals. Past performance does not guarantee future returns.

How AI Copytrading Works

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.

API

Automated Execution

Orders are sent for execution automatically through our trading partners. Actual speed depends on market conditions and network load.

Multi

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

Step 1

Data Collection

Receiving real-time market data from leading cryptocurrency exchanges

Step 2

Pattern Recognition

Algorithm identifies price patterns, support and resistance levels

Step 3

Signal Generation

Generation of trading signals with probability assessment and risk/reward ratio

Step 4

Risk Management

Automatic stop-losses, position size control, and volatility detection

Step 5

Execution

Order placement through our trading partners

Trading Strategies

Each strategy has been backtested on historical data.

Mean Reversion

Low

Mean reversion strategy. Uses RSI and Bollinger Bands to identify potential entry points when price deviates from the mean value.

Risk LevelLow

Stop-Loss

ATR

Mode

24/7

Adaptive Strategy

Self-Adaptive
Medium

Detects current market regime (trend, range, high volatility) and adapts parameters. Skips periods of extreme volatility.

Risk LevelMedium

Stop-Loss

ATR

Mode

24/7

Scalping

High Frequency
High

Short-trade strategy aimed at extracting profits from micro market movements. Increased trading frequency.

Risk LevelHigh

Stop-Loss

ATR

Mode

24/7

6+

AI Strategies

24/7

Monitoring

5+

Supported Assets

* Past performance does not guarantee future returns.

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. Helps limit 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 the funds you allocate.

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 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.

Start Trading with AI

Open an account and access algorithmic trading strategies