How do AI-based crypto trading platforms evaluate strategies using real-time data?

I’m researching how some modern AI-powered crypto trading platforms evaluate and rank multiple strategies in real-time.

Some platforms mention using a scoring system based on factors like:

P&L (profit and loss)

Drawdown

Asset growth over time

Live performance from centralized exchanges

I'm curious:

Is there a common or standard approach to doing this reliably?

Can machine learning models actually detect market manipulation or liquidity shifts from order books?

Are there known frameworks/tools that allow traders to plug into such systems without building everything from scratch?



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