Intelligent Stock Analysis Powered by AI
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Leverage the power of AI to gain deep insights into stock performance. This solution combines advanced technical analysis with real-time news sentiment to provide data-driven investment recommendations.
About This Workflow
Unlock sophisticated stock analysis with our AI-driven solution. This workflow intelligently integrates two powerful tools: a Technical Analysis Tool that synthesizes chart data, historical prices, and technical indicators using GPT-4o for pattern recognition, and a Trends Analysis Tool that scours financial news for sentiment and trending topics. The core of this system is an AI Agent powered by GPT-4o, which orchestrates these tools to deliver comprehensive, data-backed investment reports. These reports are meticulously generated in Hebrew, offering clear recommendations, detailed technical breakdowns, and actionable insights derived from both quantitative and qualitative market data. It's designed to simplify complex financial analysis for investors of all levels.
Key Features
- Comprehensive AI-Driven Analysis: Combines technical indicators, chart patterns, and news sentiment for a holistic stock view.
- Actionable Hebrew Reports: Delivers detailed analysis and recommendations in clear, professional Hebrew.
- Dual-Source Data Integration: Leverages chart data, historical prices, technical indicators, and real-time financial news.
- Advanced AI Capabilities: Utilizes GPT-4o for sophisticated pattern recognition and sentiment analysis.
- Customizable Recommendations: Provides clear buy, hold, or sell advice based on high-probability predictions.
How To Use
- Configure the AI Agent: Set up the
AI Agentnode (@n8n/n8n-nodes-langchain.agent) by defining thesystemMessagewhich dictates its behavior and the tools it can use. - Integrate Tools: Ensure the
Technical Analysis ToolandTrends Analysis Tool(represented bystickyNotenodes describing their functionality in this snippet) are correctly integrated and callable by the AI agent. - Define Output Schema: Configure the
Structured Output Parsernode (@n8n/n8n-nodes-langchain.outputParserStructured) with the desired JSON schema for the final output, ensuring it matches the AI agent's expected response format. - Manage Session Memory: Set up the
Window Buffer Memorynode (@n8n/n8n-nodes-langchain.memoryBufferWindow) to maintain conversation context for ongoing analysis. - Connect OpenAI: Ensure the
GPT 4onode (@n8n/n8n-nodes-langchain.lmChatOpenAi) is correctly configured with your OpenAI API credentials and desired model.
Apps Used
Workflow JSON
{
"id": "da528fd0-cc8c-4d24-a537-55f6cee44923",
"name": "Intelligent Stock Analysis Powered by AI",
"nodes": 29,
"category": "Marketing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: da528fd0-cc8c...
About the Author
Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
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