fundamental-analysis VS pandas-ta

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.

I do not know what is the difference between MACD and MACDFIX but maybe you can take a look how MACD is implemented in pandas_ta library and modify it a bit to achive a behavior you want.

I use https://github.com/twopirllc/pandas-ta found some indicators that are in the pandas_ta but not in the tulip library though tulip also has thing pandas doesn't have.

Having a look at ta.rsi it looks like it is calculating the value for rsi and returns it.

I feel like this is more of a devops issue but its all local, the `local_cron_job` runs at 11pm each night to update `mcvaluations` which then activates 'PandasTA_Strategy_Examples.ipynb' then `VectorBT_Backtest_with_Pandas_TA.ipynb' then 'backorder.py` and finally `strategy`

Pandas T.A: Biblioteca Pandas para análise técnica.