Introduction Hey there, fellow traders, engineers, and AI enthusiasts! We’ve reached the final post in this series, where I’ve been sharing my journey of building an AI-powered stock analysis agent. From laying the foundation with LangChain, OpenBB, and Claude 3 Opus to integrating advanced analysis techniques and risk management strategies, we’ve covered a lot of […]
Introduction Welcome back to this ongoing series on building an AI-powered stock analysis tool! I took a significant leap forward in the previous article by converting the AI stock agent from AgentExecutor to LangGraph. I explored the advantages of using LangGraph for complex workflows and state management, setting the stage for more advanced enhancements to
Introduction Welcome back to this ongoing series on building an AI-powered stock analysis tool! In the previous articles, I covered a wide range of topics. I leveraged LangChain, OpenBB, and Anthropic’s Claude 3 Opus. I also integrated analysis tools like sentiment analysis and chart-based technical analysis. Today, I’ll take a significant leap forward by converting
Introduction Welcome back to this series on building an AI-powered stock analysis agent. I’ve previously covered fundamental and technical analysis, sentiment analysis, relative strength rankings, chart-based analysis, and universe scanning. This time, I’ll focus on risk management, a crucial aspect of trading. Proper risk management is essential for long-term success in the markets. It’s important
Introduction Welcome back to this ongoing series on building an AI-powered stock analysis agent! In the previous articles, I’ve covered many topics, from laying the foundation with LangChain, OpenBB, and Claude 3 Opus to enhancing the agent’s capabilities with fundamental and technical analysis tools, sentiment analysis, relative strength rankings, and chart-based analysis. Today, I’ll take
Introduction Hey there, fellow traders and AI enthusiasts! I’m back with another installment in this series on building an AI-powered stock analysis tool. In my last post, I supercharged the agent with relative strength rankings, allowing it to identify the market’s leaders. But why stop there? Today, I’ll take the analysis to the next level
Introduction Hello folks! If you’ve been following along, I’ve covered a lot of ground already: This post will explore one of the most crucial factors in my trading success and that of many others: relative strength. As always, here’s the updated repo. What is Relative Strength? Relative strength (RS) measures a stock’s performance compared to
Introduction Hello, friends, and welcome back to this third installment in this blog series on building an AI-powered stock analysis tool. Here are links to the first and second posts. The social media reaction to this topic has been positive, and I look forward to taking you further on this journey. And, I promise, this
Introduction In my previous post, I explored the creation of an AI-powered stock analysis agent using LangChain, OpenBB, and Anthropic’s Claude 3 Opus. By leveraging these cutting-edge technologies, I laid the foundation for a powerful tool that empowers traders and investors like myself with valuable insights and data-driven recommendations. As I continue enhancing my AI
In this series of posts, we’ll explore how to build an AI-powered stock analysis tool using Langchain, OpenBB, and Anthropic’s latest, most powerful large language model, Claude 3 Opus. By leveraging these cutting-edge technologies, we can create a powerful application that provides traders and investors with valuable insights and recommendations for making informed investment decisions.