I built an AI-based signal scoring system to filter low-quality trades — feedback needed
Most traders don’t lose only because their analysis is bad.
They lose because they enter too many low-quality setups.
I’ve been working on a simple AI-based market signal system where every trade setup gets ranked before considering an entry.
The goal is not to blindly follow signals.
The goal is to answer 3 simple questions before entering:
- Is this setup actually strong?
- How confident is the signal?
- Is the risk worth taking?
Right now, the system gives every setup:
Signal Score out of 100
Trade Quality Grade
Confidence Level
Market Direction Bias
Example format:
Market: BTC/USDT
Signal Score: 84/100
Trade Grade: A
Confidence: High
Bias: Bullish
Risk Level: Medium
The idea is simple:
A setup with a score of 40–50 should probably be ignored.
A setup with 70+ may be worth watching.
A setup with 80+ may be a high-quality setup, but still needs proper risk management.
I’m not trying to build a “magic prediction bot.” I’m trying to build a filter that helps avoid emotional entries and low-quality trades.
Because in my experience, avoiding bad trades is just as important as finding good ones.
Would you personally use a scoring system like this before entering a trade?
Also, what factors would you include in the score?
For example:
Trend strength
Volume confirmation
Support/resistance zone
Volatility
Risk-reward ratio
News impact
Market sentiment
I’d appreciate honest feedback from traders, especially people who have tried signal bots or automated trading tools before.