Multi-AI Agents

Prism AI's core architecture comprises multiple AI agents that work independently yet collaboratively. Each takes on distinct roles, ensuring comprehensive data, deep analysis, and precise decision-making

Catcher Agent

The Catcher Agent is tasked with real-time monitoring of blockchain networks and community dynamics, capturing the latest market hotspots.

• Functions:

  • Extracting and interpreting transaction data on blockchains.

  • Real-time monitoring of community activities (e.g., Twitter trends, Reddit posts).

• Technical Implementation: Achieves millisecond-level data capture through efficient crawlers and API integrations.

Analyst Agent

The Analyst Agent is the analytical core of the system, converting raw data into actionable insights.

• Functions:

  • Sentiment Analysis: Analyzing the emotional inclinations within community discussions using NLP techniques.

  • Trend Prediction: Combining historical data with current dynamics to predict market directions.

• Technical Implementation:

  • Emotional features of text data are mapped to predefined categories (e.g., positive, negative, neutral) using deep learning models.

  • Identifies potential investment opportunities using machine learning algorithms.

Strategist Agent

The Strategist Agent is the user’s intelligent investment assistant, providing trading suggestions and assisting in execution.

• Functions:

  • Strategy Generation: Offering personalized investment and stop-loss recommendations.

  • Automated Trading: Connecting to trading platforms via APIs to execute strategies automatically.

• Technical Implementation:

  • Optimizes decision-making models through reinforcement learning.

  • Interfaces with decentralized exchanges (DEXs) via smart contracts.