""" Real-Time Whale Transaction Monitor Replaces 1-hour polling with WebSocket streams for <30 second latency. Monitors whale wallets for large transactions and accumulation/distribution patterns. Architecture: - ETH: Alchemy WebSocket (free tier: 300M compute units/month) - SOL: Helius WebSocket (free tier: 100k credits/month) - XRP: XRPL WebSocket (free, official) Features: - Real-time transaction alerts (<30s latency) - Large transaction detection (>$1M) - Event-driven callbacks - In-memory caching with TTL Usage: monitor = WhaleRealtimeMonitor() monitor.start() # Runs in background thread # Get latest whale signals eth_signal = monitor.get_whale_signal("ETH") sol_signal = monitor.get_whale_signal("SOL") """ import logging import time import threading from typing import Dict, List, Callable, Optional from datetime import datetime, timedelta from collections import defaultdict import json logger = logging.getLogger(__name__) class WhaleRealtimeMonitor: """ Real-time whale transaction monitor using WebSocket streams. Note: WebSocket implementation is a Phase 2 feature requiring: - Alchemy API key for ETH - Helius API key for SOL - XRPL public endpoint for XRP For now, this provides the framework and can be enhanced incrementally. """ def __init__(self): self.running = False self.monitor_thread = None # In-memory cache for whale transactions self.whale_txns = defaultdict(list) # chain -> [transactions] self.cache_ttl = 3600 # 1 hour # Large transaction threshold ($1M USD equivalent) self.large_txn_threshold_usd = 1_000_000 # Callbacks for whale events self.callbacks: List[Callable] = [] # WebSocket connections (to be implemented) self.ws_eth = None self.ws_sol = None self.ws_xrp = None logger.info("🐋 WhaleRealtimeMonitor initialized (WebSocket impl pending)") def register_callback(self, callback: Callable[[Dict], None]): """Register a callback function for whale transaction events. Callback receives dict with: - chain: str (ETH/SOL/XRP) - address: str (whale wallet address) - txn_hash: str - direction: str (in/out) - value_usd: float - timestamp: datetime """ self.callbacks.append(callback) def start(self): """Start real-time monitoring in background thread.""" if self.running: logger.warning("WhaleRealtimeMonitor already running") return self.running = True self.monitor_thread = threading.Thread(target=self._monitor_loop, daemon=True) self.monitor_thread.start() logger.info("🐋 Real-time whale monitoring started") def stop(self): """Stop monitoring and close WebSocket connections.""" self.running = False if self.monitor_thread: self.monitor_thread.join(timeout=5) # Close WebSocket connections self._close_websockets() logger.info("🐋 Real-time whale monitoring stopped") def _monitor_loop(self): """Main monitoring loop (runs in background thread).""" while self.running: try: # TODO: Implement WebSocket event handling # For now, just sleep to keep thread alive time.sleep(1) # Clean up old transactions from cache self._cleanup_cache() except Exception as e: logger.error(f"Whale monitor loop error: {e}") time.sleep(5) def _cleanup_cache(self): """Remove transactions older than TTL from cache.""" cutoff = datetime.now() - timedelta(seconds=self.cache_ttl) for chain in self.whale_txns: self.whale_txns[chain] = [ txn for txn in self.whale_txns[chain] if txn.get('timestamp', datetime.now()) > cutoff ] def _close_websockets(self): """Close all WebSocket connections.""" # TODO: Implement WebSocket cleanup pass def get_whale_signal(self, chain: str) -> Dict: """Get aggregated whale signal for a chain. Returns: signal: float from -1 (strong sell) to +1 (strong buy) confidence: float from 0 to 1 large_txns_1h: int (count of >$1M transactions in last hour) net_flow_1h: float (USD, positive = accumulation) """ txns = self.whale_txns.get(chain, []) if not txns: return { "signal": 0.0, "confidence": 0.0, "large_txns_1h": 0, "net_flow_1h": 0.0, "status": "no_data" } # Count large transactions in last hour one_hour_ago = datetime.now() - timedelta(hours=1) recent_txns = [t for t in txns if t.get('timestamp', datetime.now()) > one_hour_ago] large_txns = [t for t in recent_txns if t.get('value_usd', 0) > self.large_txn_threshold_usd] # Calculate net flow (positive = accumulation, negative = distribution) net_flow = sum( t.get('value_usd', 0) if t.get('direction') == 'in' else -t.get('value_usd', 0) for t in recent_txns ) # Normalize to signal (-1 to +1) # $10M net inflow = +1.0 signal, $10M outflow = -1.0 signal signal = max(-1.0, min(1.0, net_flow / 10_000_000)) # Confidence based on transaction count confidence = min(1.0, len(recent_txns) / 50) return { "signal": signal, "confidence": confidence, "large_txns_1h": len(large_txns), "net_flow_1h": net_flow, "recent_txn_count": len(recent_txns), "status": "ok" } # ======================================================================== # WebSocket Implementation Stubs (To be implemented in Phase 2) # ======================================================================== def _connect_eth_websocket(self): """ Connect to Alchemy WebSocket for Ethereum whale monitoring. Requires: ALCHEMY_API_KEY environment variable Implementation: 1. Subscribe to address activity for all ETH whale wallets 2. Filter for transactions >$100k 3. Callback on whale transaction detected Free tier: 300M compute units/month (~3M transactions) """ # TODO: Implement Alchemy WebSocket # from web3 import Web3 # w3 = Web3(Web3.WebsocketProvider(f"wss://eth-mainnet.g.alchemy.com/v2/{ALCHEMY_API_KEY}")) pass def _connect_sol_websocket(self): """ Connect to Helius WebSocket for Solana whale monitoring. Requires: HELIUS_API_KEY environment variable Implementation: 1. Subscribe to account changes for all SOL whale wallets 2. Filter for transactions >$100k 3. Callback on whale transaction detected Free tier: 100k credits/month """ # TODO: Implement Helius WebSocket # from solana.rpc.websocket_api import connect # async with connect(f"wss://mainnet.helius-rpc.com/?api-key={HELIUS_API_KEY}") as ws: # await ws.account_subscribe(whale_address) pass def _connect_xrp_websocket(self): """ Connect to XRPL WebSocket for XRP whale monitoring. Public endpoint: wss://xrplcluster.com/ Implementation: 1. Subscribe to transactions for all XRP whale wallets 2. Filter for transactions >$100k 3. Callback on whale transaction detected Free tier: Unlimited (public XRPL nodes) """ # TODO: Implement XRPL WebSocket # from xrpl.clients import WebsocketClient # client = WebsocketClient("wss://xrplcluster.com/") # await client.request(AccountTxRequest(account=whale_address)) pass # Singleton instance _monitor_instance: Optional[WhaleRealtimeMonitor] = None def get_whale_monitor() -> WhaleRealtimeMonitor: """Get singleton instance of whale monitor.""" global _monitor_instance if _monitor_instance is None: _monitor_instance = WhaleRealtimeMonitor() return _monitor_instance