Ep4 CrewAi StockPicker: Build AI StockPicker with CrewAI Custom Tools & Vector Memory Integration

CrewAi04 CustomToolDb: Build AI StockPicker with CrewAI Custom Tools & Vector Memory Integration | Multiple LLMs | CrewAI Custom Tools | Full Tutorial

🚀 Build a Production-Ready AI Stock Picker with CrewAI | Custom Tools & Vector Memory Tutorial
Learn how to create an intelligent multi-agent AI system that analyzes financial news, researches companies, and picks the best investment opportunities—automatically! This comprehensive tutorial covers CrewAI custom tools, Pydantic validation, vector memory integration, and multi-LLM orchestration.

🎯 What You'll Build:
✅ Multi-agent AI system with 5 specialized agents
✅ Real-time financial news analysis and company research
✅ Custom push notification tool for investment alerts
✅ Vector memory integration for persistent learning
✅ Structured outputs with Pydantic validation
✅ Integration with GPT-4, Claude, and DeepSeek models

💡 Perfect for:
AI developers building production systems
Financial analysts exploring AI automation
CrewAI users wanting advanced implementations
Developers interested in multi-agent architectures

🔧 Technologies Covered:
CrewAI Framework
Pydantic for data validation
SQLite vector memory
SerperDev for web search
Multiple LLMs (OpenAI, Anthropic, DeepSeek)
Custom tool development
Pushover API integration

📂 Source Code: https://github.com/matinict/MyCrewAi/...
📺 Watch Video:    • Ep4 CrewAi StockPicker: Build AI StockPick...  

🔑 Get API Keys:
SerperDev: https://serper.dev
OpenAI: https://platform.openai.com
Anthropic: https://console.anthropic.com
Pushover: https://pushover.net

⏱️ CHAPTERS:
0:00 - Introduction & Project Overview
0:20 - Setting Up CrewAI Project
1:45 - Configuring Environment Variables & API Keys
3:10 - Agent Configuration: Trending Company Finder
5:00 - Agent Configuration: Financial Researcher
6:30 - Agent Configuration: Stock Picker Agent
8:00 - Agent Configuration: Manager Agent
9:15 - Task Configuration & Workflow Design
11:20 - Building Custom Push Notification Tool
13:00 - Crew.py Setup & Memory Integration
14:30 - Main.py Entry Point Configuration
15:45 - Running the System & Output Analysis
16:30 - Memory Storage & Output Files Explained

🎓 Key Learning Outcomes:
How to structure multi-agent AI systems
Creating custom tools for CrewAI agents
Implementing vector memory for AI learning
Using Pydantic for reliable AI outputs
Orchestrating multiple LLMs in one workflow
Building production-ready AI applications

📝 Prerequisites:
Basic Python knowledge
Understanding of APIs
CrewAI basics (helpful but not required)

🔥 Resources:
Full source code on GitHub (link above)
Complete documentation in README
Sample .env template included
Ready-to-run configurations

💬 Join Our Community:
⭐ Star the GitHub repo if you find it useful!
👍 Like this video if it helped you
💬 Comment with your questions or project ideas
🔔 Subscribe for more advanced AI tutorials!

#CrewAI #AIAgents #MachineLearning #Python #AITutorial #StockAnalysis #MultiAgent #OpenAI #Claude #AIAutomation #FinTech #VectorDatabase #AITools #DeepSeek #ProductionAI #Pydantic #CustomTools

🔔 Don't forget to enable notifications for upcoming tutorials on:
Advanced CrewAI patterns
Building AI trading systems
Enterprise AI agent architectures
And much more!

📧 Questions? Drop them in the comments below!