ofxstatement VS fundamental-analysis

There is an ofxstatement for converting proprietary bank statement to OFX format.

https://github.com/kedder/ofxstatement

I had to just manually enter them, and it's a pain. There are some tools that could potentially convert a statement PDF to OFX, but I haven't tried them. Examples: https://github.com/kedder/ofxstatement or https://www.propersoft.net/products/pdf2ofx

Usually, there are platforms like eodhistoricaldata.com, iexcloud.io or financialmodelingprep.com which provide data for a monthly fee. They also have their issues, but if reported, wrong data are usually fixed swiftly.

Having access to historical and live data is nice. Just use the free tier with financialmodelingprep.com to get an idea what it would be like to work with such data.

The other one I found was financialmodelingprep.com but their "is-market-open" API looks to return just the general opening/closing hour, holidays, and whether or not the market is open. Like it says the market hours even today is 9:30am-4pm which isn't what I'm looking for.

Is financialmodelingprep.com legit?

Then using financialmodelingprep.com api, I crossed all the information I could get my hands on from there to merge with the df I had. Things like "Year founded, HQ, number of employees, etc." Trying to see if there was anything interesting within the data. As an example, I used ggplot to show inventory trends over the years for the companies and you could see when the 2008 recession happened there was a significant drop in inventory carried by some companies. (Not all companies carry goods, some only provide services). But it was interesting to have a quick visual made and to compare them to other companies within the same sectors/industries.

Let me know if you need more help and I will look into https://financialmodelingprep.com. Is this a free or a paid service?

I use Financial Modelling Prep, it works pretty well and has a bunch of cool endpoints. I have the starter plan, costs about $24 a month which is reasonable, you get about 300 requests/min. (https://financialmodelingprep.com).

Depends on what you are building. Note - you can even use multiple based on specific features. Start with https://twelvedata.com or https://financialmodelingprep.com

quandl has lot of data sources, some are free to use. Check financialmodelingprep too.

I'm currently using stockrover.com and https://financialmodelingprep.com for getting DCF/Fair Value and Safety Margins and to Screen stocks according to my strategies.