Jstock, Chart Geany and mop,
https://chart-geany.sourceforge.io/https://jstock.org/https://github.com/mop-tracker/mopThere are also modules for Python that can be used for all sort of analysis, I use one to quickly look at PE deviations over the long term on specific stocks. For that I use a very simple tool designed for school children to learn python.
https://www.activestate.com/blog/top-10 ... -modeling/I use Jstock every day to scan my portfolio and notify me of any changes in the prices which it then sends me an email. Overtime I have several 10's of thousands of email in a file. To keep that overhead down I use mutt to read and manage those. It can provide a really interesting picture of daily volatility. It comes with a bank of usual scanners, price deviation, rsi, death/golden cross etc and you make your own. It also allows access to "news".
In combination with Mutt, something like notmuch might allow complex reporting. I haven't done that.
Newboats, an RSS reader works very well with InvestEgate's RNS rss feed.
If you learn python you will find a ton of things that people use it for.
If you can get hold of a Raspberry Pi 4, then it will run Jstock all day long without any issue sending as many alarms via Gmail as you want. Mutt runs perfectly OK and I can use it locally via SSH and mop works but has a visual bug. I don't use Mutt with a Gmail account, but you can, I just have a client transfer the mail to my mail spool and I read it there. Geany works, but I don;t use it. mop also works and I have specific implementation set up from a bash alias to look at specific market sectors. For me the command mopproperty, will show all the property shares and their current prices in my cli.I just have all the property shares listed in a mop config file and a bash aliases that opens that specific mop config file.You can make as many as you want.
Heavy duty python might be more challenging, but my simple scripts do work OK.
Typically I switch on my Pi in the morning, start Jtsock, Newsboat and Mutt running and then ssh into them through the day.I do have a monitor connected, but I could just use VNC. I use mop and Python when I want to look at my assumptions.
urlview. It pulls the urls out of text documents. I find very useful as well. I convert pdf files to text and then use urlview to pull out supporting links to web sites. That allows me to look for additional information quickly, for example if there's any Investor Meet Company event, online presentations to attend or any files I might want to wget.
Hope that helps in someway.