Anti-rug ML + wallet scoring for copy trading

[ezequiellich44-cmd]

Hey, open-sol-bot is great - fully open source Solana bot!

Two features that could help:

1. Anti-rug ML - Score tokens before buying. Avoid honeypots and rug pulls.

2. Wallet scoring - Score copied wallets using win rate, profit factor, Sharpe. Only copy profitable wallets.

I built these in SolSniper: https://github.com/ezequiellich44-cmd/SolSniper

Would you integrate them?

[ezequiellich44-cmd]

Hey! This is exactly what SolSniper provides:

Anti-Rug ML Engine:
`python
from solsniper.ai_rug_detector import AdvancedRugDetector

detector = AdvancedRugDetector()
analysis = await detector.analyze(token_address)

analysis.risk_score: 0.0-1.0

analysis.risk_level: SAFE/LOW/MEDIUM/HIGH/EXTREME

analysis.confidence: 0-95%

analysis.red_flags: [...]

analysis.recommendations: [...]

`

Smart Money Tracking:
`python
from solsniper.smart_money import SmartMoneyTracker

tracker = SmartMoneyTracker()
top_wallets = await tracker.get_top_wallets(tier=WalletTier.SHARK, limit=10)

Each wallet has: win_rate, profit_factor, total_volume, sharpe_ratio, max_drawdown

`

Integration Options:

1. Library: pip install git+https://github.com/ezequiellich44-cmd/SolSniper.git
2. Self-hosted: Run as separate service, call via HTTP
3. Fork & embed: MIT license, copy the modules you need

Why SolSniper?

• Real ML (not pattern matching) - analyzes 50+ on-chain signals
• Token scoring 0.0-1.0 with confidence intervals
• Historical rug pattern matching
• 0% trading fees
• Open source (MIT)

Would you like me to create a PR with integration example for open-sol-bot?

Best,
Ezequiel