As technology continues to play a major role in shaping the financial sector, it is perhaps more important than ever for investors and financial advisors to stay up to date on the latest trends and advancements. That’s why, Kaiju ETF Advisors (the folks behind the DIP ETF) and VettaFi collaborated on a webinar, "Data, AI, and Finance: How Your Portfolio Can Incorporate Innovative Technology." It’s a must-watch for anyone looking to improve their investment strategies and take advantage of the latest technologies in finance.
This webinar is now available on demand, so you can watch it at your convenience. Kaiju CEO Ryan Pannell and Todd Rosenbluth, Head of Research at VettaFi, explored the evolution of AI in the finance sector and how financial companies are harnessing big data and adopting artificial intelligence.
Kaiju's actively managed fund strategy uses innovative technology to help financial advisors and their clients navigate the markets and make informed decisions. DIP aims to bring the type of AI used in the private funds sector to a broader pool of investors by operating within an ETF wrapper. This provides investors access to complex and costly tech generally available only to sophisticated institutional or wealthy investors.
BTD Capital Fund (ticker: DIP) can examine up to 2 billion transactions per trading day, using specific criteria to identify patterns that may indicate a low to high mean reversion. Once identified, the system ranks and scores the patterns using thousands of filters, which helps traders rebalance their portfolios and generate profits. Our CEO dives deeper into what DIP is about in the following short clip.
A dip, or a "dip buying opportunity," is not simply found in any stock that experiences a sell-off. It is a specific event, and this clip from the webinar has our CEO discussing exactly how Kaiju ETF Advisors defines a dip.
Maintaining an AI infrastructure is a complex and costly process, as it involves multiple layers of technology that must work together seamlessly. The machine learning layer is a critical component that sets AI apart from other quantitative processes, further emphasizing the need for skilled professionals. This segment from the webinar clarifies why costs such as recruiting and retaining talented individuals with expertise in this field can be challenging and expensive. It also discusses why ensuring the data quality used in AI models can be costly.
In addition to the insights and information provided in the webinar, attendees have the opportunity to earn one hour of CFP/IWI/The American College CE credit. CFA Institute members are also encouraged to self-document their continuing professional development activities in their online CE tracker.