Kris, These are invaluable insights you have here. I can only imagine that the AIs will be able to do more indebth research as time goes on, espcially with the advent of AI agents once they get the bugs out.
Literally just peeling the top layer here for analyzing equities at the intersection of AI and fundamental analysis. Much more I have been doing with ChatGPT, APIs and custom GPTs. Will share more as time goes on.
I wonder if investors would find a customized GPT chatbot valuable for research of specific companies, sectors or even XBRL parsing engines for SEC filings. Working on all of this!
I think investors would really find a customized GBT very helpful for each asset class. I think part of the succes of the results depend on the questions. For example my favorite question, what is the track record? I logically makes sense to me, however I have not reviewed the academic research on track record as a predictor. Here is a good start https://www.sciencedirect.com/science/article/abs/pii/S0378426623002339.
It appears that eventually AIagents will be able to gather all of this information and run it through various AIs. I wonder if the research will becom commoditized and possibly lower returns?
XBRL is a format in which the SEC requires companies to report information to stakeholders. A parsing engine helps an LLM parse the formatting for machines or humans.
I wasn't referring to a chatbot to generate trades but to provide more streamlined analysis for investors.
Your question is a great one though. I don't think anybody knows at this point. My early take is that it may be something like future autonomous driving. If drivers can override the system to get there faster (or get better returns), they will do it. The most difficult thing for an investor is discipline in executing the system regardless. This also makes the big assumption that a chatbot can outperform.
Too much for a comment section. This deserves a YouTube video discussion lol.
FYI. Spoke with a BDC analyst who works at the institutional level. He thinks that he can reduce his due dilligence/ analysis time on BDCs / Private Debt by about 70% with the use of AI.
Kris, These are invaluable insights you have here. I can only imagine that the AIs will be able to do more indebth research as time goes on, espcially with the advent of AI agents once they get the bugs out.
Literally just peeling the top layer here for analyzing equities at the intersection of AI and fundamental analysis. Much more I have been doing with ChatGPT, APIs and custom GPTs. Will share more as time goes on.
I wonder if investors would find a customized GPT chatbot valuable for research of specific companies, sectors or even XBRL parsing engines for SEC filings. Working on all of this!
What's an SBRL parsing engine?
I think investors would really find a customized GBT very helpful for each asset class. I think part of the succes of the results depend on the questions. For example my favorite question, what is the track record? I logically makes sense to me, however I have not reviewed the academic research on track record as a predictor. Here is a good start https://www.sciencedirect.com/science/article/abs/pii/S0378426623002339.
It appears that eventually AIagents will be able to gather all of this information and run it through various AIs. I wonder if the research will becom commoditized and possibly lower returns?
XBRL is a format in which the SEC requires companies to report information to stakeholders. A parsing engine helps an LLM parse the formatting for machines or humans.
I wasn't referring to a chatbot to generate trades but to provide more streamlined analysis for investors.
Your question is a great one though. I don't think anybody knows at this point. My early take is that it may be something like future autonomous driving. If drivers can override the system to get there faster (or get better returns), they will do it. The most difficult thing for an investor is discipline in executing the system regardless. This also makes the big assumption that a chatbot can outperform.
Too much for a comment section. This deserves a YouTube video discussion lol.
FYI. Spoke with a BDC analyst who works at the institutional level. He thinks that he can reduce his due dilligence/ analysis time on BDCs / Private Debt by about 70% with the use of AI.
Makes sense especially for the qualitative aspects. I think there's more progress required on the quantitative side.