Disclaimer: Trading with Bots and Algorithms

Before we dive into the exciting world of algorithmic trading, I want to emphasize that investing in any trading bot or engine comes with risks. Please do not invest money without being willing to lose it. This video is meant for educational purposes only, and our goal is to share knowledge and experiences, not to promote or encourage reckless investment decisions.

That being said, let’s proceed with the story of how I invested $2000 in a trading algorithm using ChatGPT, a large language model capable of remembering context and conversation history. Our objective was to create an MVP (Minimum Viable Product) that could generate impressive returns in just 24 hours of live trading.

What Makes ChatGPT Special?

ChatGPT’s unique capabilities set it apart from other large language models. Its ability to retain context and recall previous conversations enables us to build more sophisticated and personalized AI experiences. This feature is crucial for building MVPs (Minimum Viable Products) that can quickly adapt to changing user needs.

As we explored the possibilities of ChatGPT, I realized its potential in revolutionizing various industries, including finance and trading. With its advanced language understanding and generation capabilities, ChatGPT can help us create more efficient and effective trading algorithms.

Building the Trading Algorithm

Our team used a combination of tools to build the trading algorithm:

  • Alpaca API: A powerful platform for live trading data, allowing us to access real-time market information.
  • Python Programming: The primary language used for building the algorithm, providing flexibility and ease of development.
  • FinRL (Financial Reinforcement Learning): An open-source library that enables developers to create deep reinforcement learning models for financial applications.
  • Vercel: A cloud platform for live deployment, ensuring seamless integration with our trading algorithm.

24 Hours of Live Trading

With the algorithm built and deployed on Vercel, we were ready to put it through its paces. For 24 hours, we monitored the performance of the bot, tracking returns, and analyzing results. Although I won’t reveal the exact figures here (you’ll have to watch the video for that), I can assure you that our team was thrilled with the initial results.

What’s Next?

As we continue to explore the potential of ChatGPT in algorithmic trading, I invite you to share your thoughts and experiences in the comments below. If you’re interested in seeing more videos like this, please let us know! We’ll be working on creating new content that delves deeper into the world of AI and finance.

Conclusion

The intersection of AI and finance offers tremendous opportunities for innovation and growth. By leveraging ChatGPT’s capabilities and combining them with other cutting-edge tools, we can create more efficient and effective trading algorithms. Join us as we continue to push the boundaries of what’s possible in this exciting space!

As always, I appreciate your engagement and support. If you have any questions or topics you’d like to discuss, please don’t hesitate to reach out.