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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
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