Trading Bots with Proven Profitability

High-Tech Bots from the World of Algorithmic Trading

 
About Bot Strategies

Each bot combines several different strategies.
The bots use machine learning, analyze vast amounts of data, and respond flexibly to market changes.

 
Owl
Owl - The perfect guardian
Bot combining trend-following, counter-trend, and quantum strategies. AI integration. The science and magic of diversification!
Bot combining trend-following, counter-trend, and quantum strategies. AI integration. The science and magic of diversification!

Position side:

LONG | SHORT

Strategies in the bot:

7

Tariff plan:

Pro, Premium

Trading pairs:

46

Detailed statistics:

Link
Wolf
Wolf - The quantum hunter
Bot of quantum strategies. The system hunts for statistical deviations and profits from them.
Bot of quantum strategies. The system hunts for statistical deviations and profits from them.

Position side:

LONG | SHORT

Strategies in the bot:

3

Tariff plan:

Pro, Premium

Trading pairs:

2

Detailed statistics:

Link
Free
Lion
Lion - The king of counter-trend
Bot of counter-trend grid strategies. Hunting for trend reversals under the supervision of a neural network. Low leverage, high safety.
Bot of counter-trend grid strategies. Hunting for trend reversals under the supervision of a neural network. Low leverage, high safety.

Position side:

LONG

Strategies in the bot:

3

Tariff plan:

Free, Pro, Premium

Trading pairs:

8

Detailed statistics:

Link
Advantages in Futures Market

We believe that our unique algorithms, developed through years of experience and research by our team of traders and developers, can become a reliable tool for successful trading in the futures market.

Unique Algorithms

Our bot strategies are powered by unique algorithms that have been developed over the years. These algorithms analyze market data and make informed trading decisions. Here’s how they work:

Step 1: Data Analysis

Our algorithms gather and analyze vast amounts of market data, including historical price movements, volume, and market sentiment. This data is used to identify patterns and trends.

Step 2: Pattern Recognition

Based on the analyzed data, our algorithms are able to recognize patterns and trends that indicate potential trading opportunities. These patterns can be complex and may not be easily identifiable by human traders.

Step 3: Decision Making

Once patterns are identified, our algorithms make informed trading decisions based on predefined rules and strategies. These decisions are made quickly and without emotions, ensuring optimal execution.

Step 4: Continuous Learning

Our algorithms are constantly learning and adapting to changing market conditions. They incorporate new data and adjust their strategies to improve performance over time.

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