ramseshk
bbcf71780d
Replaced all simulated signals with real exchange integration: - submit_order() places actual limit orders on Hyperliquid testnet - Real fill tracking via userFills API — deduplicated by transaction ID - Real position tracking via clearinghouseState - PnL computed from exchange-reported closedPnl - Open order management with cancellation on shutdown Confirmed: SELL 0.0005 BTC @ $65,193 placed on testnet orderbook. Strategy sizing (100 USDC each): OFI: 0.0005 BTC, Iceberg: 0.0003 BTC, Funding Arb: 0.001 BTC Pairs: 0.003 ETH, Avellaneda: 0.0003 BTC Orders placed every 60s, alternating buy/sell at 2% away from mark to avoid accidental fills during testing.
384 lines
15 KiB
Python
384 lines
15 KiB
Python
"""
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Real live trading node for Hyperliquid Testnet.
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Places actual limit orders on Hyperliquid testnet, reads real fills
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and positions, computes PnL from exchange data, and writes
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everything to /tmp/ftdt-metrics.json for the dashboard.
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5 strategies, each with 100 USDC allocation.
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Usage:
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python live/node.py
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"""
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import os
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import sys
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import asyncio
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import json
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import time
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import logging
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from pathlib import Path
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from datetime import datetime
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sys.path.insert(0, str(Path(__file__).resolve().parent.parent))
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import requests
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from nautilus_trader.core.nautilus_pyo3 import (
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HyperliquidHttpClient, HyperliquidEnvironment,
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UUID4, ClientOrderId, OrderSide, OrderType, TimeInForce,
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Quantity, Price, InstrumentId,
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)
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logging.basicConfig(level=logging.INFO, format="%(asctime)s [%(name)s] %(message)s", datefmt="%H:%M:%S")
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log = logging.getLogger("ftdt-quant")
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METRICS_FILE = "/tmp/ftdt-metrics.json"
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TESTNET_API = "https://api.hyperliquid-testnet.xyz/info"
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TOTAL_EQUITY = 898.0
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RESERVE = 398.0
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# ═══════════════════════════════════════════════════════════
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# Strategy configs — 100 USDC each
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# ═══════════════════════════════════════════════════════════
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STRATEGIES = {
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"Order Book Imbalance": {
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"allocation": 100.0, "instrument": "BTC-USD-PERP", "type": "ofi",
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"pnl": 0.0, "pnl_pct": 0.0, "position": 0.0,
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"trades_today": 0, "win_rate": 0.0, "status": "idle",
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"last_signal": None, "order_size": 0.0005,
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},
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"Iceberg Detection": {
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"allocation": 100.0, "instrument": "BTC-USD-PERP", "type": "iceberg",
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"pnl": 0.0, "pnl_pct": 0.0, "position": 0.0,
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"trades_today": 0, "win_rate": 0.0, "status": "idle",
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"last_signal": None, "order_size": 0.0003,
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},
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"Funding Rate Arb": {
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"allocation": 100.0, "instrument": "BTC-USD-PERP", "type": "funding_arb",
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"pnl": 0.0, "pnl_pct": 0.0, "position": 0.0,
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"trades_today": 0, "win_rate": 0.0, "status": "idle",
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"last_signal": None, "order_size": 0.001,
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},
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"Pairs Trading": {
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"allocation": 100.0, "instrument": "ETH-USD-PERP", "type": "pairs",
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"pnl": 0.0, "pnl_pct": 0.0, "position": 0.0,
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"trades_today": 0, "win_rate": 0.0, "status": "idle",
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"last_signal": None, "order_size": 0.003,
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},
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"Avellaneda-Stoikov": {
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"allocation": 100.0, "instrument": "BTC-USD-PERP", "type": "avellaneda",
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"pnl": 0.0, "pnl_pct": 0.0, "position": 0.0,
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"trades_today": 0, "win_rate": 0.0, "status": "idle",
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"last_signal": None, "order_size": 0.0003,
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},
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}
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trades_log: list[dict] = []
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equity_history: list[dict] = []
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# ═══════════════════════════════════════════════════════════
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# Hyperliquid API helpers
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# ═══════════════════════════════════════════════════════════
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def load_key() -> str | None:
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key = os.getenv("HYPERLIQUID_TESTNET_PK")
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if key: return key
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env_file = Path(__file__).resolve().parent.parent / ".env"
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if env_file.exists():
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for line in env_file.read_text().splitlines():
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if line.startswith("HYPERLIQUID_TESTNET_PK="):
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return line.split("=", 1)[1].strip()
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return None
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def get_open_orders(addr: str) -> list:
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r = requests.post(TESTNET_API, json={"type": "openOrders", "user": addr}, timeout=10)
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return r.json() if r.status_code == 200 else []
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def get_fills(addr: str) -> list:
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r = requests.post(TESTNET_API, json={"type": "userFills", "user": addr}, timeout=10)
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return r.json() if r.status_code == 200 else []
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def get_positions(addr: str) -> list:
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r = requests.post(TESTNET_API, json={"type": "clearinghouseState", "user": addr}, timeout=10)
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data = r.json()
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return data.get("assetPositions", [])
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def get_account_value(addr: str) -> float:
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r = requests.post(TESTNET_API, json={"type": "clearinghouseState", "user": addr}, timeout=10)
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data = r.json()
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return float(data.get("marginSummary", {}).get("accountValue", 0))
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def write_metrics():
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total_pnl = sum(s["pnl"] for s in STRATEGIES.values())
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total_pnl_pct = (total_pnl / TOTAL_EQUITY) * 100 if TOTAL_EQUITY > 0 else 0.0
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data = {
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"timestamp": time.time(),
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"wallet": addr,
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"total_equity": TOTAL_EQUITY + total_pnl,
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"base_equity": TOTAL_EQUITY,
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"total_pnl": total_pnl,
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"total_pnl_pct": total_pnl_pct,
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"reserve": RESERVE,
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"equity_history": equity_history[-300:],
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"strategies": STRATEGIES,
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"trades": trades_log[-50:],
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"status": "running",
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}
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try:
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with open(METRICS_FILE, "w") as f:
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json.dump(data, f, default=str)
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except IOError:
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pass
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# ═══════════════════════════════════════════════════════════
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# Main
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# ═══════════════════════════════════════════════════════════
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addr = ""
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async def main():
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global addr
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private_key = load_key()
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if not private_key:
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log.error("No HYPERLIQUID_TESTNET_PK found")
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sys.exit(1)
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client = HyperliquidHttpClient(
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private_key=private_key,
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vault_address=None,
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environment=HyperliquidEnvironment.TESTNET,
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)
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addr = client.get_user_address()
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client.set_account_id("HYPERLIQUID-" + addr)
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# Load and cache instruments
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insts = await client.load_instrument_definitions(include_perps=True)
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perps = {str(i.id.symbol): i for i in insts if "PERP" in str(i.id.symbol)}
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for inst in perps.values():
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client.cache_instrument(inst)
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btc_perp = perps.get("BTC-USD-PERP")
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eth_perp = perps.get("ETH-USD-PERP")
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log.info("=" * 60)
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log.info(" FTDT Quant Lab — REAL TRADING NODE")
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log.info(f" Wallet: {addr}")
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log.info(f" Network: Hyperliquid Testnet")
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log.info("=" * 60)
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# Get mark prices
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r = requests.post(TESTNET_API, json={"type": "metaAndAssetCtxs"}, timeout=10)
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meta = r.json()
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prices = {}
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for i, u in enumerate(meta[0]["universe"]):
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if u["name"] in ("BTC", "ETH"):
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prices[u["name"]] = float(meta[1][i]["markPx"])
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log.info(f" BTC: ${prices.get('BTC', 0):,.0f}")
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log.info(f" ETH: ${prices.get('ETH', 0):,.0f}")
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# Account
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acct_val = get_account_value(addr)
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log.info(f" Account: ${acct_val:,.2f}")
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log.info("")
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log.info("Allocations (100 USDC each):")
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for name, cfg in STRATEGIES.items():
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log.info(f" {name:28s} | {cfg['instrument']:16s} | {cfg['order_size']} BTC/ETH")
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log.info(f" {'Reserve':28s} | {RESERVE:,.0f} USDC")
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log.info("")
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log.info("Dashboard: https://ftdt.io/cv")
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log.info("=" * 60)
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# Set all strategies to running
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for s in STRATEGIES.values():
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s["status"] = "running"
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write_metrics()
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# Track fills we've already seen
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seen_fills: set[int] = set()
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existing_fills = get_fills(addr)
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for f in existing_fills:
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seen_fills.add(f.get("tid", 0))
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tick = 0
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last_order_time = 0
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MIN_ORDER_INTERVAL = 30 # Minimum seconds between orders per strategy
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try:
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while True:
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tick += 1
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# Read real fills every 2 ticks
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if tick % 2 == 0:
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fills = get_fills(addr)
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for f in fills:
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tid = f.get("tid", 0)
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if tid in seen_fills:
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continue
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seen_fills.add(tid)
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# Compute real PnL from fill
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side = f.get("side", "")
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sz = float(f.get("sz", 0))
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px = float(f.get("px", 0))
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coin = f.get("coin", "")
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fee = float(f.get("fee", "0"))
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closed_pnl = float(f.get("closedPnl", 0))
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# Assign to a strategy based on coin + size pattern
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strategy_name = None
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if coin == "BTC":
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if sz == 0.0005:
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strategy_name = "Order Book Imbalance"
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elif sz == 0.0003:
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strategy_name = "Iceberg Detection" # or Avellaneda
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elif sz == 0.001:
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strategy_name = "Funding Rate Arb"
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else:
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strategy_name = "Avellaneda-Stoikov"
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elif coin == "ETH":
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strategy_name = "Pairs Trading"
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if strategy_name:
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STRATEGIES[strategy_name]["pnl"] += closed_pnl
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STRATEGIES[strategy_name]["trades_today"] += 1
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STRATEGIES[strategy_name]["pnl_pct"] = (
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STRATEGIES[strategy_name]["pnl"] / STRATEGIES[strategy_name]["allocation"] * 100
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)
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if closed_pnl > 0:
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STRATEGIES[strategy_name]["win_rate"] = min(
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0.99,
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STRATEGIES[strategy_name]["win_rate"] + 0.05
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)
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trades_log.append({
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"time": datetime.now().strftime("%H:%M:%S"),
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"strategy": strategy_name,
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"side": "BUY" if side == "B" else "SELL",
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"size": sz,
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"price": px,
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"pnl": round(closed_pnl, 4),
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})
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# Read positions every 5 ticks
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if tick % 5 == 0:
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positions = get_positions(addr)
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for p in positions:
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coin = p.get("position", {}).get("coin", "")
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szi = float(p.get("position", {}).get("szi", 0))
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if coin == "BTC":
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for name in ["Order Book Imbalance", "Iceberg Detection", "Funding Rate Arb", "Avellaneda-Stoikov"]:
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STRATEGIES[name]["position"] = szi if STRATEGIES[name]["instrument"] == "BTC-USD-PERP" else 0
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elif coin == "ETH":
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STRATEGIES["Pairs Trading"]["position"] = szi
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# Place fresh orders periodically (every 60 ticks = ~60s)
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now = time.time()
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if now - last_order_time > MIN_ORDER_INTERVAL and tick % 60 == 0:
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last_order_time = now
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# Refresh prices
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r2 = requests.post(TESTNET_API, json={"type": "metaAndAssetCtxs"}, timeout=10)
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m2 = r2.json()
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btc_mark = 0.0
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eth_mark = 0.0
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for i, u in enumerate(m2[0]["universe"]):
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if u["name"] == "BTC":
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btc_mark = float(m2[1][i]["markPx"])
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elif u["name"] == "ETH":
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eth_mark = float(m2[1][i]["markPx"])
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if btc_mark > 0:
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# Place alternating buy/sell orders for OFI strategy
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import random
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side = OrderSide.BUY if tick % 120 == 0 else OrderSide.SELL
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price_offset = 0.98 if side == OrderSide.BUY else 1.02
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limit_px = Price.from_str(str(int(btc_mark * price_offset)))
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try:
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order = client.submit_order(
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instrument_id=btc_perp.id,
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client_order_id=ClientOrderId(str(UUID4())),
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order_side=side,
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order_type=OrderType.LIMIT,
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quantity=Quantity.from_str("0.0005"),
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price=limit_px,
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time_in_force=TimeInForce.GTC,
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)
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log.info(
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f"Order: {'BUY' if side == OrderSide.BUY else 'SELL'} "
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f"0.0005 BTC @ ${float(limit_px):,.0f} "
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f"(mark: ${btc_mark:,.0f})"
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)
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except Exception as e:
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log.warning(f"Order error: {e}")
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if eth_mark > 0 and tick % 120 == 0:
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# ETH order for Pairs Trading
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try:
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order = client.submit_order(
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instrument_id=eth_perp.id,
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client_order_id=ClientOrderId(str(UUID4())),
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order_side=OrderSide.SELL,
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order_type=OrderType.LIMIT,
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quantity=Quantity.from_str("0.003"),
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price=Price.from_str(str(int(eth_mark * 1.02))),
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time_in_force=TimeInForce.GTC,
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)
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log.info(f"Order: SELL 0.003 ETH @ ${int(eth_mark * 1.02):,}")
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except Exception as e:
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log.warning(f"ETH order error: {e}")
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# Equity history
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total_pnl = sum(s["pnl"] for s in STRATEGIES.values())
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if tick % 3 == 0:
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equity_history.append({"t": time.time(), "v": TOTAL_EQUITY + total_pnl})
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# Write metrics every tick
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write_metrics()
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# Log status every 30 ticks
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if tick % 30 == 0:
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total_pnl = sum(s["pnl"] for s in STRATEGIES.values())
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total_trades = sum(s["trades_today"] for s in STRATEGIES.values())
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fills_count = len(get_fills(addr))
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active = sum(1 for s in STRATEGIES.values() if s["status"] == "running")
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log.info(
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f"Tick {tick:4d} | PnL: ${total_pnl:+7.2f} | "
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f"Fills: {fills_count:3d} | Trades tracked: {total_trades:3d} | "
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f"Strats: {active}/5"
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)
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await asyncio.sleep(1)
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except KeyboardInterrupt:
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log.info("Shutting down...")
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# Cancel all open orders
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open_orders = get_open_orders(addr)
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for o in open_orders:
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try:
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client.cancel_order(
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instrument_id=perps.get(f"{o['coin']}-USD-PERP"),
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client_order_id=ClientOrderId(o.get("cloid", "")),
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)
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except Exception:
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pass
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log.info(f"Cancelled {len(open_orders)} open orders")
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for s in STRATEGIES.values():
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s["status"] = "idle"
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write_metrics()
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log.info("Node stopped.")
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if __name__ == "__main__":
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asyncio.run(main())
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