Thanks for building it. Bring it up to date once by hand, and after that the desk tells you itself.
The once: download the ZIP again from the green Code button on the GitHub page, open your desk folder in your agent, and paste the instruction under "Getting a newer version" in the README; it brings the new screens in and keeps your keys and your lists exactly as they are. From that version on, the desk looks at GitHub once a day, and when a newer one exists a strip at the top of every screen says what changed, with one button, Update the desk.
The bit in between is where my vault does its work. With three portfolios across two markets, I'd write the number that kills each thesis into the vault before opening a tab, because with Koyfin and OptionCharts both open I can find support for almost anything.
why will this create alpha, it may just save some money on a tool and throw out information that would otherwiise cost 20/30 dollars a month
Who said it will. It’s up to individual person’s ability and luck only. AI is there to just do help with a grunt work that comes with it.
This looks fantastic! I'm going to give a go...
Hey thanks, do share your feedback.
I have created my own desktop research desk. Wanted to check-how to update it?
Thanks for building it. Bring it up to date once by hand, and after that the desk tells you itself.
The once: download the ZIP again from the green Code button on the GitHub page, open your desk folder in your agent, and paste the instruction under "Getting a newer version" in the README; it brings the new screens in and keeps your keys and your lists exactly as they are. From that version on, the desk looks at GitHub once a day, and when a newer one exists a strip at the top of every screen says what changed, with one button, Update the desk.
Excellent. Keep it up
Thanks 🙏
Thanks for the inspiration, I would also try to for Indian as well as Indonesian market
The bit in between is where my vault does its work. With three portfolios across two markets, I'd write the number that kills each thesis into the vault before opening a tab, because with Koyfin and OptionCharts both open I can find support for almost anything.
This is the part I find interesting,moving from using AI for one-off analysis to actually encoding how you work into a system.
Once the framework is built, the model becomes almost replaceable. The real asset is the workflow and accumulated context.