Simple AI Agent for technical analysis of Ethereum - ETH (Crypto Token) using simple moving average
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
Видео Simple AI Agent for technical analysis of Ethereum - ETH (Crypto Token) using simple moving average канала PavanMD
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
Видео Simple AI Agent for technical analysis of Ethereum - ETH (Crypto Token) using simple moving average канала PavanMD
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29 марта 2025 г. 1:38:29
00:04:21
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