StockBot
S
Stockbot
Overview :
StockBot is an AI chatbot powered by Groq, leveraging Llama3 70b on Groq's Vercel AI SDK and TradingView's real-time widgets to respond to requests in a conversational format with real-time, interactive charts and interfaces specifically tailored to your requests. Groq's speed allows for two API calls, returning responses to professional prompts. Please note: StockBot may provide inaccurate information and does not provide investment advice. It is for entertainment and educational purposes only.
Target Users :
StockBot is designed for users interested in the stock market, including investors, analysts, and financial enthusiasts. It provides real-time data and interactive charts to help users better understand market dynamics and make investment decisions.
Total Visits: 474.6M
Top Region: US(19.34%)
Website Views : 78.9K
Use Cases
The user requests news and information for a specific stock.
An analyst uses interactive charts to analyze stock price patterns and trends.
Investors use StockBot for a quick overview of market trends.
Features
Real-time AI chatbot: Request stock news, information, and charts through natural language dialogues.
Interactive stock charts: Receive nearly instant, context-aware responses with interactive TradingView charts hosting real-time data.
Adaptive interface: Dynamically present TradingView UI components with a financial interface tailored for specific queries.
Groq-driven performance: Leverage Groq's cutting-edge inference technology for nearly instant responses and seamless user experience.
Comprehensive coverage of multi-asset markets: Access data and analysis for stocks, forex, bonds, and cryptocurrency.
How to Use
1. Visit groq-stockbot.vercel.app to use the hosted version, or follow the quick start guide to run StockBot locally.
2. You need a Groq API key to run the application. You can get one from here in the Groq console.
3. To get started locally, run the following commands:
- pnpm install
- pnpm dev
4. Your application should now be running at localhost:3000.
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