I'm trying to use n8n to semi-automate my trading. Not a buy low sell high trading bot per se, but something we can program in rules (i.e. TastyLive mechanics) and have it check against your current positions to recommend new positions to be diversified without being over allocated. So far I can get into my TastyTrade account, pull down live stock/futures metrics and options chain data. For my first task I am just trying to pull down options chain and put them into a google sheet (each row would be it's own call/put strike prices for each expiration), but I'm struck. If anyone can help with that or wants to help with the project in general, please let me now. Thanks.

I added an upload option to @Nate Herk's RAG AI agent. It's a bit Kludgy but it works (you need to save your screenshot to a specific name in your Google Drive. Below are some screenshots. I was unable to get it to read a folder of images or multiple image downloads - it anyone cracks that nut, let me know. For the RAG documentation I used the password protected TastyTrade API documentation and n8n docs stored on github. Does anyone have a good source of n8n docs I can try to upload? It's answers didn't work much better than Claude's stab in the dark with outdated n8n info and guesses on Tasty's API calls. Thanks.

I created an email agent inspired by @Nate Herk and am having fun spamming the spammers of my small ecom business as I try get unsubscribed and waste a little of their time in the process. Unfortunately, I've started spamming myself as the workflow replies to the replies. The main process is in red circle. In the text classifier, I add a category for emails coming from myself (blue circle) which doesn't seem to be 100% working. Is there a cleaner way to do this (I know I can just label the emails, remove from inbox, and NOT reply - but what is the fun in that?) Thanks.

When I get a warranty registration email, I want chat gpt to extract the information (name, email, product, date) and append it to warranty registration google sheet. This seems like it should be easy, but I'm stuck. Can anyone point me in the right direction or recommend a tutorial? thanks.