Machine Learning RSI

Question 1: What is Machine Learning RSI?

It's the familiar RSI momentum meter (overbought/oversold), but smartened up: it checks how similar past situations played out and nudges the reading accordingly, so it gives fewer false 'too high / too low' alarms.

Question 2: How do I read it?

Same as a normal RSI - when it turns up out of the oversold zone in an uptrend, that's a buy hint; turning down out of overbought is a sell hint. It's just steadier and less twitchy.

Question 3: What features does it compare?

Up to five things about the market (the RSI level, how fast it's moving, choppiness, the slope of price, and price momentum) - you can pick how many it uses.

Question 4: What are the key settings?

How many of those features to use, how much weight to give the 'smart' adjustment vs the plain RSI, the RSI length, and an optional smoothing filter.

Question 5: Is it a complete system?

No - it only shows momentum/bias, not where to enter or place stops. Combine it with a tool that shows good price levels.