Topic
Framework Tutorials: Finance & Trading Analysis Agents
5 posts on framework tutorials: finance & trading analysis agents — part of framework tutorials on the n4n AI blog.
Building a trading signal agent with CrewAI
Build a multi-agent trading signal agent with CrewAI that pulls market data, analyzes trends, and emits risk-aware buy/sell signals. Step-by-step tutorial.
Building a stock research agent with LangChain
Hands-on tutorial: build a stock research agent LangChain that fetches live prices, financials, and news with tool calling and conversation memory.
Building a portfolio analysis agent with LangGraph
Hands-on tutorial: build a portfolio analysis agent with LangGraph step by step: fetch prices, compute risk metrics, and generate LLM-backed reports.
Building a financial news summarization agent with LangChain
Step-by-step tutorial to build a financial news summarization agent LangChain that pulls headlines, scores relevance, and generates concise briefs.
Building a crypto market analysis agent with LangChain
Hands-on tutorial to build a crypto market analysis agent LangChain that fetches live CoinGecko data and uses LLM tool-calling to produce insights.
More topics in framework tutorials
- AutoGen Agent Teams for Research & Automation11
- Choosing an AI Framework by Use Case10
- Framework Tutorials: Legal & Healthcare Document Q&A9
- One Backend, Every Model: Swapping GPT-5, Claude, Gemini & Llama Across Frameworks9
- AutoGen Human-in-the-Loop Workflows8
- LangChain Multi-Model Fallback & Routing8
- AutoGen Getting Started with n4n.ai7
- AutoGen Multi-Agent Conversations & Group Chat7
- Building Chatbots with Vercel AI SDK & Next.js7
- CrewAI Agent Roles & Task Design7
- CrewAI Getting Started with n4n.ai7
- CrewAI Real-World Crew Examples7