Introduction
Welcome to Jarvis.fun
Last updated
Welcome to Jarvis.fun
Last updated
Welcome to Jarvis.fun, a revolutionary platform reshaping the world of autonomous trading. This GitBook is a detailed guide designed to help you navigate the platform’s powerful features, understand its core functionality, and leverage its capabilities to create, deploy, and optimize AI agents tailored for trading and liquidity management. Whether you are a beginner exploring the trading landscape or a seasoned professional, Jarvis.fun empowers you to achieve your financial goals with precision and ease.
Executive Summary Jarvis.fun is a state-of-the-art platform that brings the future of trading to your fingertips. Designed for users seeking a no-code, intuitive solution, the platform enables the creation and management of custom AI agents with advanced capabilities. By integrating technical analysis, real-time social sentiment monitoring, and DeFi liquidity management, Jarvis.fun ensures comprehensive, fully autonomous trading strategies operating 24/7.
Key Features
Custom AI Agent Builder:
Empower users to create highly personalized agents using plain English commands such as:
"Buy SOL if a Head & Shoulders pattern forms and social sentiment is over 70%."
Fully Autonomous Execution:
Enable agents to execute trades and manage liquidity positions without manual intervention, responding dynamically to market conditions.
Prompt-Based Interface:
Eliminate complexity with intuitive natural language inputs, making advanced trading accessible to all skill levels.
1. Prompt-Based Interface
The platform's heart lies in its simplicity:
Command AI agents using everyday language, removing the barriers of traditional coding.
Example: Deploy an AI agent that buys Token A when it detects a Cup & Handle pattern on the 1-hour chart.
2. Advanced Chart Patterns & Indicators
Supports sophisticated technical patterns, including Head & Shoulders, Cup & Handle, and more.
Integrates with advanced indicators like Ichimoku Cloud crossovers, Stochastic Oscillator, and Moving Average Convergence Divergence (MACD).
3. Social Sentiment & News Feeds
Leverages sentiment data from platforms like Twitter/X and aggregator services, combining behavioral analysis with technical signals for informed decision-making.
4. DeFi Liquidity Management
Automates liquidity addition and removal on platforms such as Raydium, optimizing yields and ensuring capital efficiency.
5. Backtesting & Optimization
Validates custom AI agent performance by simulating strategies on historical data, enabling fine-tuning before live deployment.
