Topic
Framework Tutorials: Finance & Trading Analysis Agents
12 posts on framework tutorials: finance & trading analysis agents — part of framework tutorials on the n4n AI blog.
SEC filing Q&A with LlamaIndex: a step-by-step tutorial
Build a production-ready SEC filing Q&A system with LlamaIndex — from ingestion to retrieval to structured answers, with runnable code at every step.
Risk analysis agents: a LangGraph tutorial
Build a production-ready risk analysis agent with LangGraph — state machines, conditional routing, and real market data integration.
Real-time market data agents with AutoGen
Build a real-time market data agent with AutoGen — fetch live prices, compute indicators, and orchestrate multi-agent analysis with runnable Python code.
Building a financial statement Q&A bot with LlamaIndex
Build a production-ready financial statement Q&A bot using LlamaIndex with document parsing, vector search, and structured query routing for SEC filings and earnings reports.
Backtesting an LLM trading agent built with LangGraph
Build a production-grade backtesting harness for LangGraph trading agents with walk-forward validation, slippage modeling, and statistical rigor.
Earnings call analysis with LlamaIndex and RAG
Build a production-ready earnings call analysis pipeline with LlamaIndex and RAG — from transcript ingestion to structured financial extraction.
CrewAI finance research: analyst and skeptic agents
Build a multi-agent finance research system with CrewAI — analyst and skeptic agents that debate investment theses using real market data.
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
- Building Chatbots with Vercel AI SDK & Next.js15
- LangChain RAG with Vector Databases15
- LangGraph Multi-Agent Workflows15
- LlamaIndex Query Engines for RAG15
- AutoGen Multi-Agent Conversations & Group Chat14
- Choosing an AI Framework by Use Case14
- CrewAI Agent Roles & Task Design14
- CrewAI Real-World Crew Examples14
- Haystack RAG Pipelines14
- LangChain Agents & Tool Calling14
- LangChain Multi-Model Fallback & Routing14
- LangChain.js for Node & TypeScript14