[asavinov]

> What gives you advantage is trading algo, which is always hard to find.

At the end it is necessary to make a decision whether to buy or sell (and how much), which will compete with other decisions made based on some logic. Developing such a logic (strategy) manually is of course quite difficult. I developed an intelligent trading bot which derives its trading strategy from historic data:

https://github.com/asavinov/intelligent-trading-bot

Currently it works for cryptocurrencies but can be applied to other markets:

https://t.me/intelligent_trading_signals

> I've spent months on figuring out the best parameters for trading. Ended up this working only on historical data, while in reality it was totally different.

It is a typical situation. The whole problem is to develop a strategy which works for future (unseen) data. Even backtesting algorithms should be designed in such a way that future experience (data) does not leak to the past.