Simple AI Agent for technical analysis of Ethereum - ETH (Crypto Token) using simple moving average #AIagent #plotly#geminiapi Here's a summary of your Ethereum Analysis project: 1. Core Technologies Used: - Python with Plotly for interactive visualization - Google's Gemini AI for analysis automation - CoinGecko API for real-time cryptocurrency data - Flask server for handling extension requests - Chrome Extension for user interface 2. Key Features: - Real-time Ethereum price data fetching - 7-day Simple Moving Average (SMA) calculation - Interactive price vs SMA visualization - Automated analysis using LLM (Gemini AI) - Browser-based access through Chrome extension 3. Project Components: - Data Processing: Fetches and cleans Ethereum price data - Technical Analysis: Calculates SMA for price trends - Visualization: Creates interactive Plotly charts - Web Server: Serves the generated plots - Chrome Extension: Provides user interface for analysis 4. Architecture: - Frontend: Chrome Extension UI - Backend: Flask server + Python analysis scripts - API Integration: CoinGecko for market data - AI Integration: Gemini for automated analysis 5. Output: - Interactive HTML plot showing price trends - Comparison between actual price and SMA - Accessible through browser interface
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