Nexus

import requests from pycoingecko import CoinGeckoAPI

cg = CoinGeckoAPI()

def get_top_solana_meme_coins(num=60): coins = cg.get_coins_markets( vs_currency='usd', category='solana-meme', # Updated category if available; fallback to 'meme-token' + filter order='market_cap_desc', per_page=250, page=1, sparkline=False ) # Robust filter for Solana-based solana_memes = [ coin for coin in coins if coin.get('platforms', {}).get('solana') ] return solana_memes[:num]

def check_rug_risk(token_address): url = f"https://api.rugcheck.xyz/v1/tokens/{token_address}/report" try: response = requests.get(url, timeout=10) if response.status_code == 200: data = response.json() # Key risk indicators (based on common RugCheck fields) risk_level = data.get('result', 'Unknown').lower() risk_score = data.get('risk_score', 0) top_holders_risk = any('top' in r.lower() and 'holder' in r.lower() for r in data.get('risks', [])) liquidity_locked = data.get('liquidity', {}).get('locked_percentage', 0)

        is_high_risk = (
            risk_level in ['danger', 'high'] or 
            risk_score > 10000 or 
            top_holders_risk or 
            liquidity_locked < 70
        )
        
        return {
            'high_risk': is_high_risk,
            'risk_level': risk_level,
            'risk_score': risk_score,
            'liquidity_locked': liquidity_locked,
            'details': data.get('risks', [])
        }
    else:
        return {'error': f"Status {response.status_code}"}
except Exception as e:
    return {'error': str(e)}

def nexus_recommendations(min_change=4.0, max_risk_score=15000): memes = get_top_solana_meme_coins() buys = [] rugs = []

for coin in memes:
    address = coin['platforms'].get('solana', '')
    if not address:
        continue
        
    rug_info = check_rug_risk(address)
    
    if 'error' not in rug_info:
        change_24h = coin.get('price_change_percentage_24h', 0)
        price = coin['current_price']
        mcap = coin['market_cap']
        
        # Buy logic: positive momentum + not too risky
        if change_24h > min_change and not rug_info['high_risk']:
            buys.append({
                'symbol': coin['symbol'].upper(),
                'name': coin['name'],
                'price': price,
                'change_24h': change_24h,
                'mcap': mcap,
                'risk': rug_info['risk_level'],
                'details': rug_info
            })
        # Rug flag: high risk indicators
        elif rug_info['high_risk']:
            rugs.append({
                'symbol': coin['symbol'].upper(),
                'name': coin['name'],
                'risk': rug_info['risk_level'],
                'score': rug_info['risk_score'],
                'details': rug_info
            })

return sorted(buys, key=lambda x: x['change_24h'], reverse=True), rugs

if name == "main": print("Nexus ($NEX) Meme Tracker running...") recommended, dangerous = nexus_recommendations()

print("\nNEX Buy Recommendations (Momentum + Safer Risk):")
for b in recommended[:6]:
    print(f"- {b['symbol']} ({b['name']}): ${b['price']:.6f} | +{b['change_24h']:.1f}% 24h | MC ${b['mcap']:,}")
    print(f"  Risk: {b['risk']} | LP Locked: {b['details']['liquidity_locked']}%")

print("\nPotential Rugs / High Risk Alerts:")
for r in dangerous[:6]:
    print(f"- {r['symbol']} ({r['name']}): Risk {r['risk']} (Score: {r['score']})")
    print(f"  Details: {', '.join(r['details']['details'][:3])}...")

print("\nPowered by CoinGecko + RugCheck. Use at your own risk — DYOR always!")