When it comes to picking stocks, artificial intelligence (AI) can be a useful tool. In February 2021, the internet was abuzz when a chatbot, called ChatGPT, successfully picked 30 stocks that returned 7.2% in two months. ChatGPT had already been updated to the “GPT-4” version, which has allowed it to search the internet for up-to-date information and respond to human insight when it can’t figure things out. This is an important milestone for AI technology, paving the way for further applications within the financial industry.
ChatGPT was able to identify several high-growth stocks such as Amazon and Meta. It also offered picks for a range of other stocks, such as Devon Energy, Exxon and Duke Energy from the energy sector and H&R Block and Meritage Homes from the non-energy sector. While it has some success with its picks, it lacks an understanding of fundamental analysis and risk management. It also doesn’t consider contrarian picks, valuations, discount cash flows, investor sentiment or weather data, all of which are crucial components when it comes to stock market analysis.
Microsoft has been the leader behind ChatGPT, investing significantly in language models to power their AI chatbot. After a heated competition between Microsoft and Google, both companies have shifted towards more open-source collaboration. As the already existing AI applications become more advanced and innovative, they will continue to help investors become more informed and confident when investing in the stock market.
The company mentioned in this article is Microsoft, a leader in the technology sector. The company is well known for its production of software, hardware, cloud computing and AI technology. The company has succeeded in creating powerful technologies such as Xbox, Azure, Office and Skype, as well as AI applications for chat bots and language models.
The person mentioned in this article is Craid Schuster, a machine learning expert and entrepreneur. He is the founder of Microsoft’s AI startup ChatGPT. He has been instrumental in pushing machine learning technology to the forefront, leveraging AI to create more efficient and user-friendly systems. He is currently focused on advancing the capabilities of machine learning and AI to power the next generation of applications, from self-driving cars to automated stock advice.
