How it works:

Data Collection from Exchange APIs (CEX/DEX):
The system connects to the APIs of major centralized (CEX) and decentralized (DEX) exchanges. It analyzes:
- Current token prices.
- Trading volumes.
- Price growth/decline trends.
- Liquidity indicators.
- Purchases by major players (“smart wallets”) on DEX.
This allows the system to detect market anomalies, such as sudden token price spikes or drops, and to track the actions of professional traders.

News Information Gathering:
To better understand the market, the bot analyzes media outlets and social platforms like Twitter and Telegram. The system responds to:
- Viral posts or trends.
- Announcements of major events (e.g., new exchange listings, partnerships).
- Feedback from influential crypto analysts.
- News related to significant projects, such as the launch of new products or updates.
Using AI algorithms, the system processes text to extract key signals that may influence token price dynamics.

Data Processing by Server and AI:
All collected data is sent to a server where an AI agent operates. Its tasks include:
1. Price Analysis: Identifying tokens with unusual growth (to sell at the right time) or sharp declines (to buy).
2. News Signal Analysis: Linking news and trends to specific tokens to uncover the reasons behind market movements.
3. Smart Wallet Analysis: Tracking the actions of experienced DEX traders and making decisions based on their trades.
4. Forecasting: Using mathematical models and historical data to predict future token behavior.

Decision-Making Process:
The AI agent makes decisions such as:
- Buying a token (going long).
- Selling a token (going short).
- Staying out of the market when conditions are unstable.

Execution of a Trading Strategy:
The AI agent follows a pre-configured trading strategy, which includes:
- Entry and exit levels for trades.
- Risk management (loss limitation via stop-losses, profit-taking).
- Optimal trade volume calculation to minimize risks.
- Pattern and indicator-based analysis.
- Proprietary decision-making mechanisms.

Data Visualization on the Dashboard:
All information about the bot's actions and portfolio status is displayed on a user-friendly web dashboard:
- Trade History: Details such as date, token, volume, and results.
- Realized Profit: A breakdown of gains or losses from trades.
- Latest Signals and Bot Trades: In real-time.
- Charts: Portfolio dynamics and market trends.

How the System Works on DEX (Example):
Market Signal:
The system detects a sharp rise in token X on a DEX with high trading volume. Simultaneously, it notices that multiple "smart wallets"—large traders often indicating promising assets—are buying the token.
Social Signals:
Twitter sees a surge in mentions of token X due to an announcement of a new partnership.
Analysis and Action:
AI determines that this is not a "pump and dump" scheme but a sustainable growth opportunity. It decides to buy token X.
Profit Realization:
Over the day, token X continues to rise. The bot takes profit and exits the position.
Dashboard Display:
The user sees the following:
- Buy: Token X for $1,000.
- Sell: Token X for $1,500.
- Profit: $500.

How the System Works on CEX (Example):
1. News Detection:
The AI agent notices a key update from Ripple’s official Twitter account:
“Negotiations with President Donald Trump to designate XRP as the strategic reserve asset of the United States.”
2. Market Reaction Analysis:
- On major CEX platforms like Binance or Kraken, the agent detects a sharp increase in XRP trading volume.
- Simultaneously, XRP price starts showing positive momentum.
3. Decision-Making:
The AI evaluates the news as a positive driver and analyzes historical data, which shows similar news has often led to short-term XRP growth.
Based on this, the agent decides to:
- Buy XRP on CEX with moderate leverage (e.g., x3).
- Set profit targets (Take Profit) and protective stop-losses to manage risk.
4. Profit Realization:
- Within hours, the news spreads, and XRP’s price rises by 15%.
- The bot automatically closes the position at the preset profit target.
5. Dashboard Display:
- The user sees the following information:
- Buy: XRP for $1,000 with x3 leverage.
- Sell: After a 15% increase, the bot sells the position for $1,345 (including leverage).
Realized Profit: $345.

Testing the AI Agent for NFT Trading:
Currently, a new AI agent is being tested for NFT trading on major platforms like OpenSea and Blur. The system will:
- Analyze data on trading volumes, collection rarity, and the behavior of top traders.
- React to NFT market trends, including activities by major players.
- Use forecasting algorithms to identify profitable deals.
The user will be able to track all NFT trades on the dashboard and receive notifications about new signals.