You can get good at eeking out those advantages and exploiting them, but you're talking about making it your job to find financial "security holes" where the reward is printing cash. And there's a lot of really smart people spending a lot of time doing that. And you have to consistently find new holes as each one gets closed by market participants as you reveal your hand. And then you have to ask yourself if that's how you really want to contribute your time to the world.
If you don't think it's your calling, best to find products/companies you really believe in and make calculated risk-taking investments. As Carnegie would say "put all your eggs in one basket, and then watch that basket"
Learning about trading on youtube is different from learning about, say, Python on youtube. If a video on programming is incorrect, your program doesn't work. If a video on equity trading is incorrect, the author of the video can take all your money.
Video views, upvotes and subscribers can all be purchased. If you have profitable trading strategy that reaps newbies who implement a bad algorithm that you publish in a public video, then you have created a perpetual motion machine.
Here's a search for "how to win slots" on youtube: https://www.youtube.com/results?search_query=how+to+win+slot... Thousands of results, millions of views each. Every video is either fake or wrong, by definition. These videos make money for the authors, and the casinos, by taking it from the marks dumb enough to watch and believe them.
It's true there are risks associated with trading. But keep track of the money you have at risk and there is no reason not to have a go.
I know more than enough people who have made consistent returns doing algorithmic trading in under-serviced market segments.
http://lucylabs.gatech.edu/ml4t/
The former instructor / creator & author of one of the books eventually joined JP Morgan as a ML research director (cant recall exact title).
- Trading Evolved, Andreas F. Clenow
- Systematic Trading, Robert Carver
- Developing & Backtesting Systematic Trading Strategies, Brian Peterson
- Algorithmic Trading, Ernest P. Chan
- Algorithmic Trading and DMA, Barry Johnson
- Trading Systems, Emilio Tomasini & Urban Jaekle
- Evidence-Based Technical Analysis, David R. Aronson
- Machine Learning for Algorithmic Trading, Stefan Jansen