AI-Powered Trading Platform

Welcome to the AI-Powered Trading Platform repository! This platform combines cutting-edge AI capabilities, blockchain technology, and seamless integration to deliver a state-of-the-art trading experience. It is designed to empower both individual traders and trade administrators to maximize profits, manage accounts efficiently, and execute trades with real-time intelligence.

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Key Features

1. AI-Driven Trading Assistance

   • Automated trade execution with real-time decision-making.
   • Trade signal generation for manual approval or autonomous operation.
   • Configurable AI settings for risk tolerance and trade size.
   • Portfolio management with AI-based suggestions for diversification and optimization.
   • Trade signal suggestions based on technical, fundamental, and sentiment analysis.
   • Updates on market news and trends across stocks, forex, and crypto assets.

2. Trade Admin Features

   • Sub-account management with virtual balances to prevent direct fund access.
   • Profit-sharing mechanisms with blockchain-based smart contracts.
   • Aggregated portfolio views for all managed accounts.
   • AI-assisted sub-account trading and management.

3. User Types

   • Regular Users: Beginner, intermediate, and pro traders leveraging AI and platform tools for trading.
   • Trade Admins: Manage sub-accounts, use AI to optimize multiple portfolios, and earn profit shares.

4. Blockchain Integration

   • Smart contracts for profit sharing and virtual balance management.
   • Decentralized wallet connectivity with support for MetaMask and StarkNet's Argent Wallet.

5. Rich Analytics and Reporting

   • Performance insights with charts and metrics.
   • Comparative analysis of AI-driven vs. manual trades.

6. Learning and Rewards

   • Tutorials for beginner traders as Koii tasks, rewarding users with platform tokens upon completion.
   • Tokens created on Koii are used to incentivize engagement and learning.

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Technologies Used

Core Technologies

• Particle: Ensures seamless interaction with blockchain networks for executing trades and smart contract functionalities.
• iExec: Provides decentralized computing power for AI model execution, data sharing, and secure data access through Data Protectors and Web3Mail.
• Spectral: Enhances risk assessment by analyzing user creditworthiness for trading decisions.
• Citrea: Manages complex workflows, ensuring AI and user actions are synchronized effectively.
• Koii: Facilitates decentralized content validation and distribution for learning modules and rewards with platform tokens.
• StarkNet: Offers scalable and secure Layer 2 solutions for faster blockchain interactions, supporting smart contracts for specific services like profit sharing.

Frontend

• Next.js: For building a responsive and dynamic user interface.
• Chart.js: For visualizing trade data and performance metrics.
• Tailwind CSS: For a consistent and modern design system.

Backend

• Node.js: Provides APIs for communication between the frontend and services.
• Express.js: Powers the RESTful API endpoints.
• WebSockets: For real-time notifications and updates.

AI Engine

• Open Source LLMs:
  • GPT-J: Handles natural language understanding for sentiment analysis and trade-related news. It analyzes market trends, social media sentiments, and financial news to influence trading decisions.
  • Falcon: Focuses on technical data analysis and trade signal generation. It processes technical indicators like moving averages, RSI, and MACD to create actionable trade signals.
  • LLaMA: Synthesizes technical, fundamental, and sentiment data to generate a final trade recommendation. This model integrates inputs from both Falcon’s technical analysis and GPT-J’s sentiment insights for holistic decision-making.
• AI Functionality:
  • Technical analysis of trading indicators (e.g., RSI, MACD, moving averages).
  • Fundamental analysis, including earnings reports and economic data.
  • Sentiment analysis using news and social media trends.
  • Dynamic trade signal generation tailored to user profiles (e.g., beginner, intermediate, pro).

Blockchain

• Ethereum/Polygon: For deploying general smart contracts that handle profit sharing and virtual balances.
• StarkNet: Used specifically for faster, secure Layer 2 smart contracts, including those for trust agreements and trade-related services.
• Web3.js: Facilitates interactions between the app and blockchain networks.
• Wallet Integration:
  • MetaMask: Standard wallet for Ethereum-based interactions.
  • Argent Wallet: A StarkNet-compatible wallet for decentralized transactions, providing an additional layer of scalability and security for StarkNet-based interactions.

Database

• PostgreSQL: For storing user data, trade history, and performance metrics.
• Redis: For caching frequently accessed data, such as live trade signals.

DevOps and Deployment

• Docker: For containerizing application components.
• Kubernetes: For orchestrating containers in a scalable way.
• AWS/GCP: Cloud hosting for frontend, backend, and AI services.

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System Architecture

Workflow Overview

1. User Registration & Onboarding:

   • Users create accounts, configure AI settings, and link wallets (MetaMask/Argent).

2. AI-Driven Operations:

   • AI analyzes market data and generates trade signals.
   • Signals are sent to users for approval or executed autonomously.

3. Trade Execution:

   • Trades initiated by AI or users are executed via integrated APIs and reflected on the platform dashboard.

4. Profit Sharing:

   • Smart contracts ensure automatic profit distribution between trade admins and sub-accounts.
   • Virtual balances are updated after each trade.

5. Analytics & Reporting:

   • Users view performance metrics, trade history, and profit/loss reports.
   • Admins monitor sub-account activities and overall portfolio performance.

6. Learning and Rewards:

   • Tutorials on Koii educate beginners about trading strategies.
   • Completing tasks rewards users with platform tokens.

Integration Overview

Component	Technology	Functionality
Frontend	Next.js, Chart.js	User interface, dashboards, and data visualization.
Backend	Node.js, Express	API management, user authentication, and trade sync logic.
AI Engine	GPT-J, Falcon, LLaMA	Multi-LLM collaboration for trade insights and decisions.
Blockchain	Solidity, Web3.js	Smart contracts for profit sharing and virtual balances.
Database	PostgreSQL, Redis	Persistent and cached data storage.
DevOps	Docker, Kubernetes	Scalable deployment and container orchestration.
Core Tech	Particle, iExec, Spectral, Citrea, Koii, StarkNet	Decentralized workflows, risk assessment, and performance.

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Smart Contracts Overview

The following table outlines the smart contracts required for the platform, their deployment platforms, and functionality:

Contract Name	Platform	Purpose
User Management Contract	Ethereum (Solidity)	Manage users, roles, and wallet connections.
Profit-Sharing Contract	Ethereum (Solidity)	Handle profit distribution between trade admins and sub-accounts.
Token Contract	Ethereum (Solidity)	Manage platform tokens for rewards and transactions.
Reward Distribution Contract	Ethereum (Solidity)	Incentivize users for completing tasks (can merge with token contract).
Trade Execution Contract	Ethereum (Solidity)	Record trade details and ensure transparency.
Virtual Balance Contract	Ethereum (Solidity)	Manage virtual balances for trade admins and sub-accounts.
Data Protection Contract	iExec (Off-chain)	Store encrypted data references and enable secure communication via iExec.
Workflow Management Contract	StarkNet (Cairo)	Facilitates task orchestration and manages AI-driven or user-driven workflows through Citrea.
Wallet Compatibility Contracts	Ethereum, StarkNet	Support MetaMask and StarkNet Argent wallets for decentralized transactions.

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Installation and Setup

Prerequisites

• Node.js (v14+)
• Python (3.8+)
• Docker
• MetaMask/Argent Wallet

Local Development

1. Clone the repository:

   git clone https://github.com/yourusername/trading-platform.git
   cd trading-platform

2. Install dependencies:

   npm install
   cd ai-engine && pip install -r requirements.txt

3. Start the services:

   • Frontend:

     npm run start

   • Backend:

     npm run server

   • AI Engine:

     cd ai-engine && uvicorn main:app --reload

4. Configure MT5 API and Blockchain network:

   • Update .env with API keys and smart contract addresses.

5. Access the platform at http://localhost:3000.

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Contributing

We welcome contributions! Please follow the standard GitHub workflow:

1. Fork the repository.
2. Create a new feature branch.
3. Submit a pull request with detailed notes on the changes.

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License

This project is licensed under the MIT License. See the LICENSE file for details.