Some ETF issuers are not only investing in AI, but are instead investing with AI.
Utilizing machine learnings, AI-driven strategies can adapt to market environments better than human managers.
Notably, using AI in the investment space is not a new thing. Hedge funds have long been using deep learning engines to analyze market data and separate the signals from the noise to identify investment opportunities, Francis Oh, CEO of Qraft Technologies, said during VettaFi’s AI Symposium on August 30.
Oh said ETF issuers like Qraft Technologies and Kaiju are utilizing AI to duplicate the human portfolio managers investment and decision making processes.
The additional benefit of AI, however, is the lack of emotional bias. AI is able to make methodical, calculated decisions without being influenced by emotion. AI uses a data-driven approach to enhance returns, limiting human behavioral mistakes, Oh said.
“We all know that emotional biases can be one of the performance draggers in the long term,” Oh said.
Importantly, AI gets smarter over time. Oh cited ChatGPT as an example of AI’s continued advancement.
When ChatGPT was first introduced a couple years ago, its uses were limited and it was riddled with errors. However, by 2023, ChatGPT has become advanced enough to have many real-life applications and uses.
“Similar cases can be [seen]in the AI models in the financial markets as well,” Oh said.
There are two ways in which AI will get smarter over time. As new data becomes available, AI models will process the data and learn from it. Additionally, the tremendous advancements in technology will continue to advance AI and enhance its accuracy in stock prediction in financial markets.