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?












