Claude AI Assistant
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Project Overview
An innovative AI trading system powered by Anthropic's Claude models, this project integrates Robinhood's API to enable autonomous stock and crypto trading. I built custom server tools that allow Claude, via an MCP server, to securely access API keys and execute trades on my behalf. Users can interact with Claude in natural language to ask questions about their portfolio, place trades, or instruct the system to follow specific trading strategies , whether custom or modeled after known investors. The system demonstrates the practical power of large language models by automating financial decisions and providing intelligent insights in real time. Designed with a clean and intuitive interface, this project showcases how AI can assist with everyday tasks, from managing investments to making complex market decisions accessible to everyone.
Key Features
- Natural Language Trading: You can chat directly with Claude to buy or sell stocks and crypto, no complex commands or interfaces needed. Just type what you want, and Claude will handle it.
- Strategy Execution: Ask Claude to follow any trading pattern or strategy, from momentum trading to dollar cost averaging and it will execute trades based on that logic.
- Emotion-Free Decisions: Claude trades with discipline and logic, eliminating the emotional bias that often leads to poor trading decisions.
- Customizable Behavior: Whether you want it to mimic a famous investor's style or stick to your personal rules, Claude adapts to the trading approach you define all through conversation
Technologies Used
Implementation Details
The project implementation included:
- Secure API integration with Claude's language model services
- Development of a conversation management system to maintain context
- Creation of a responsive user interface for seamless interactions
- Implementation of real-time streaming responses for immediate feedback
- Fine-tuning the model's responses for specific use cases and domains
- Integration of authentication and user session management