I know that some people swear by quantitative methods, but if someone's subjective approach has yielded a positive overall return over thousands of trades, they are probably on safe ground even if they can't specify exactly where the profit comes from or explain what they did.
I suspect the key is to choose a basic, no frills strategy like range breakout or swing trading, and experiment using £2 stakes. You might find it takes off, and you're soon able to up your stakes. Or you might find that you keep losing money, in which case you ask yourself
'What might be doing wrong here? Let's see what happens if I (for example) only enter when the WOM is more firmly in my favour'.
I get the impression that that's along the lines of what Peter did.
You may find that, after a few months of grind, you are good enough to make a small profit, at which point you up your stakes. And you probably won't lose much money in the process - if you are manually trading with £2 stakes, and never going in play, your losses will probably be the cost of a pint of beer or two, if that.
If you want to be a quant, that's fine, but anyone who doesn't have a computing background will probably have to invest quite a lot of hours getting to a point where they can properly backtest and fire in bets using a bot. I've been spending quite a few hours learning Java ahead of a masters course that I'm about to start, and I'm still nowhere near that point.
Subjective trading might feel riskier, but if you want a guarantee, I suggest you buy a toaster!

There are no guarantees in this game. I've known people whose methods have worked for years, but there is nothing to say that their edge won't disappear next week.
ruthlessimon wrote: ↑Fri Sep 13, 2019 9:31 pm
But again, this all comes back to auditing/journaling. How would we work out what was working & what wasn't, if we're trying hundreds of 'ideas' during a/several matches?
With data/spreadsheets, I could work it out - but I'm baffled about how to do it without spreadsheets. Trust me,
I don't wanna be a data nerd, but the market forces me - cos usually my "gut instincts" are plain wrong