Building an AI Trading Agent with Python | Strands Agent & Live Coding Tutorial
Learn how to build a fully functional AI trading agent from scratch using Python, Strands Agent framework, and Ollama. In this comprehensive live coding tutorial, I walk you through the complete process of creating an automated trading bot that can analyze stocks, make decisions, and even place orders.
What You'll Learn:
Setting up your development environment (IDE selection: Kiro, VS Code, PyCharm)
Understanding AI agent architecture (Prompt, LLM, Tools, Output)
Installing and configuring Strands Agent framework
Using Ollama for local LLM deployment (GPT-4o-mini alternative)
Creating custom tools with Yahoo Finance API
Integrating Capital.com MCP server for live trading
Building real-time stock analysis capabilities
Automating trading decisions and order placement
Tools & Technologies:
Python
Strands Agent (Open Source AI Framework)
Ollama (Local LLM)
Yahoo Finance API
Capital.com MCP Server
Kiro IDE / VS Code
UV Package Manager
Perfect for: Python developers, AI enthusiasts, algorithmic traders, and anyone interested in building agentic AI applications.
⚠️ Disclaimer: This tutorial is for educational purposes only. Always test with demo accounts and understand the risks before live trading.
Links:
Strands Agent: https://strandsagents.com
Ollama: https://ollama.com
Kiro IDE: https://kiro.dev
Capital.com MCP Server: https://pypi.org/project/capital-com-...
Don't forget to subscribe for more AI development tutorials!
Tags
AI Trading Agent, Python Trading Bot, Strands Agent, Ollama, AI Agent Development, Algorithmic Trading, Python Tutorial, Live Coding, Machine Learning, LLM, Large Language Models, MCP Server, Yahoo Finance API, Capital.com, AI Automation, Trading Automation, Python AI, Agentic AI, AI Tools, GPT-4, Open Source AI, Trading Bot Tutorial, Stock Market AI, Financial AI, AI Development, Python Programming
Timestamps
Introduction & Overview
0:00 - Introduction
0:02 - What we'll build today
0:36 - AI Agent Architecture Explained
Understanding AI Agents
0:47 - The 4 Core Components (Prompt, LLM, Tools, Output)
3:14 - Memory Component (Conversational Context)
4:28 - Agent Workflow Explained
Development Setup
5:11 - Choosing an IDE (VS Code, PyCharm, Kiro)
5:56 - Kiro IDE Overview & Features
7:10 - AI Agent Framework Options (LangChain, LangGraph, CrewAI, Strands)
Getting Started
8:37 - Terminal Setup & Project Creation
9:03 - Creating Project Directory
9:52 - Opening Kiro IDE
10:38 - Package Manager Setup (UV vs PIP)
11:20 - Creating First Python File
Installing Dependencies
11:49 - Installing Strands Agent
12:43 - Running Initial Test
13:38 - Understanding Model Providers
14:22 - Setting Up Ollama
Ollama Configuration
14:42 - Ollama Overview & Installation
15:20 - Downloading & Running Models
16:01 - Context Length Configuration
16:33 - Installing Ollama Package
17:20 - Configuring GPT-4o Model
Building Tools
19:04 - Creating Custom Tools
20:15 - Building Add Numbers Function
21:43 - Testing Tool Integration
23:05 - Yahoo Finance Integration
23:48 - Installing Yahoo Finance Package
Yahoo Finance Tools
24:11 - AI-Generated Trading Analysis Tools
25:00 - Organizing Import Statements
25:28 - Testing Stock Price Queries
26:52 - Moving Average Calculations
27:30 - Yahoo Finance API Limitations
Capital.com MCP Integration
27:56 - Capital.com MCP Server Overview
28:36 - MCP Server Setup
29:14 - Environment Variables Configuration
30:14 - Capital.com API Setup
31:10 - Generating API Keys
32:14 - Testing Stock Price with MCP
Testing Live Trading
33:11 - Project Summary & Architecture Review
34:37 - Creating Working Orders Demo
35:15 - Live Order Placement
35:39 - Verifying Order in Capital.com Account
36:01 - Use Cases & Automation Ideas
Wrap-up & Future Plans
36:37 - Summary of What We Built
37:18 - Future Video Series Announcement
37:58 - Deploying to Production (Coming Soon)
38:26 - Closing Remarks
In questa pagina del sito puoi guardare il video online Building an AI Trading Agent with Python | Strands Agent & Live Coding Tutorial della durata di ore minuti seconda in buona qualità , che l'utente ha caricato Syed Humair 29 settembre 2025, condividi il link con amici e conoscenti, su youtube questo video è già stato visto 1,434 volte e gli è piaciuto 42 spettatori. Buona visione!
