Thanks for the input. I'm not sure 100ms update and 10% of CPU usage is attractive, it sounds quite a lot. While I don't have any apples to apples comparison with pyqtgraph, it appears to be extremely fast and from what I've read outperforms matplotlib everywhere. It will not be able to do as much out of the box but since we are talking about candlestick/bar/line charting, it's all relatively straightforward. I've run into a lot of roadblocks with matplotlib, from parameters that don't seem to do anything to simple axis modifications being cumbersome. I've found the parameters to be completely unintuitive which means I'd spend way too much time getting things to work.
It's still a work in progress. I've encountered a few bugs in my code which are apparently an absolute pain to remove. Spent the whole day on axis ticks not updating properly in certain situations. Not fun.
I love SQLite. Recently had to convert a jupyter notebook from a generic e-mini trading strategy to one specific for ES, and copied the parameters using a SQL query. Lo-fi is sometimes better.
starting to size up as was suggested on other threads. Problem I have is my drawdown sometimes gets retarded. Manageable, but retarded. I think I will be OK.
Way to go, @nooby_mcnoob! You need to get yourself a new username. To put things in perspective - mind sharing what capital base you're using to generate those kind of returns? Is this all from day trading futures or do you do other stuff too?
LOL just saw the thing about my name. One of the things I do really well is turn imposter syndrome into constantly learning. I will gladly forever be a noob if it means being able to do this shit 4 life.