Files
ftdt-quant-lab/framework/execution.py
T
ramseshk f5ffe4baee feat: NautilusTrader + VectorBT unified framework for Hyperliquid
Add complete framework for testing and deploying quant strategies:

Framework (framework/):
- HyperliquidInstrumentCatalog: loads perps as NT CryptoPerpetual
- HyperliquidDataProvider: real candle/orderbook/mark-price data
- HyperliquidExecutionProvider: live + PaperExecutionProvider: simulated
- BaseHlStrategy: shared NT strategy lifecycle with signal library
- StrategyConfig: YAML-based parameter management
- DeployOrchestrator: CLI for backtest -> paper -> live pipeline

Backtesting (backtests/):
- VBTBacktestRunner: VectorBT vectorized backtests on real HL candles
- NTBacktestRunner: NautilusTrader event-driven backtest engine

NT Strategy ports (strategies/nt/):
- PairsTradingNT: BTC/ETH ratio Z-score mean reversion
- HurstVPINNT: Hurst exponent regime + VPIN flow imbalance
- ASMarketMakingNT: Avellaneda-Stoikov stochastic control MM

E2E verified: real HL candles fetch, VectorBT backtest (Sharpe 5.2
on Hurst/VPIN), instrument catalog, deploy CLI --list, strategy signals.
Existing live/node.py and paper_trader.py unchanged.
2026-08-06 17:23:49 +08:00

275 lines
8.7 KiB
Python

"""
Hyperliquid execution provider — live and paper trading via NautilusTrader.
Live mode: Submits real orders to Hyperliquid testnet/mainnet via REST.
Paper mode: Tracks virtual positions, simulates fills with realistic slippage.
Uses the hyperliquid-python-sdk for signed order submission.
"""
from __future__ import annotations
import asyncio
import logging
import time
from dataclasses import dataclass, field
import requests
from nautilus_trader.model.enums import OrderSide, OrderType, TimeInForce
from nautilus_trader.model.identifiers import ClientOrderId, InstrumentId, VenueOrderId
from nautilus_trader.model.objects import Price, Quantity
logger = logging.getLogger(__name__)
TESTNET_API = "https://api.hyperliquid-testnet.xyz/info"
MAINNET_API = "https://api.hyperliquid.xyz/info"
@dataclass
class SimulatedPosition:
coin: str
quantity: float
entry_price: float
side: str # BUY or SELL
fee_paid: float = 0.0
pnl: float = 0.0
@dataclass
class SimulatedOrder:
cloid: str
coin: str
side: str
quantity: float
price: float
timestamp: float = field(default_factory=time.time)
filled: bool = False
fill_price: float = 0.0
fee: float = 0.0
pnl: float = 0.0
class HyperliquidExecutionProvider:
"""Live trading via Hyperliquid SDK + REST API."""
def __init__(
self,
private_key: str,
testnet: bool = True,
vault_address: str | None = None,
):
self._pk = private_key
self._vault = vault_address
self._testnet = testnet
self._api_url = TESTNET_API if testnet else MAINNET_API
self._exchange = None
self._info = None
self._address: str | None = None
def _ensure_sdk(self):
if self._exchange is None:
from hyperliquid.exchange import Exchange
from hyperliquid.info import Info
self._info = Info(self._api_url, skip_ws=True)
self._exchange = Exchange(
wallet=self._info,
private_key=self._pk,
vault_address=self._vault,
account_address=None,
is_testnet=self._testnet,
)
meta = self._info.meta()
if meta and "universe" in meta:
logger.info("HL SDK initialized: %d assets", len(meta.get("universe", [])))
@property
def address(self) -> str | None:
if not self._address:
self._ensure_sdk()
if self._exchange:
self._address = self._exchange.wallet.address
return self._address
def submit_limit_order(
self,
coin: str,
side: str, # "BUY" or "SELL"
size: float,
price: float,
post_only: bool = True,
reduce_only: bool = False,
) -> dict | None:
"""Submit a limit order. Returns order response or None on failure."""
self._ensure_sdk()
try:
is_buy = side.upper() == "BUY"
result = self._exchange.order(
name=coin,
is_buy=is_buy,
sz=size,
limit_px=price,
order_type={"limit": {"tif": "Gtc" if post_only else "Ioc"}},
reduce_only=reduce_only,
)
logger.info("Order submitted: %s %s %.6f @ %.1f%s",
side, coin, size, price, result)
return result
except Exception as e:
logger.error("Order failed: %s %s: %s", side, coin, e)
return None
def cancel_order(self, coin: str, cloid: str) -> bool:
"""Cancel an order by client order ID."""
self._ensure_sdk()
try:
self._exchange.cancel(coin, cloid)
return True
except Exception as e:
logger.warning("Cancel failed for %s/%s: %s", coin, cloid, e)
return False
def cancel_all(self, coin: str | None = None):
"""Cancel all open orders, optionally filtered by coin."""
self._ensure_sdk()
try:
self._exchange.cancel_all(coin)
except Exception as e:
logger.warning("Cancel all failed: %s", e)
def get_positions(self) -> list[dict]:
"""Get open positions for the wallet."""
if not self.address:
return []
resp = requests.post(
self._api_url,
json={"type": "clearinghouseState", "user": self.address},
timeout=10,
)
if resp.status_code != 200:
return []
data = resp.json()
positions = []
for pos in data.get("assetPositions", []):
pos_type = pos.get("position", {})
if pos_type:
coin = pos_type.get("coin", "")
szi = float(pos_type.get("szi", 0))
if coin and abs(szi) > 0:
positions.append({
"coin": coin,
"size": szi,
"entry_px": float(pos_type.get("entryPx", 0)),
"unrealized_pnl": float(pos_type.get("unrealizedPnl", 0)),
})
return positions
def get_open_orders(self) -> list[dict]:
if not self.address:
return []
resp = requests.post(
self._api_url,
json={"type": "openOrders", "user": self.address},
timeout=10,
)
if resp.status_code != 200:
return []
return resp.json()
class PaperExecutionProvider:
"""Paper trading — simulated fills against real Hyperliquid mark prices."""
def __init__(
self,
maker_fee: float = 0.0002,
taker_fee: float = 0.0005,
slippage_bps: float = 1.0,
):
self.maker_fee = maker_fee
self.taker_fee = taker_fee
self.slippage_bps = slippage_bps
self.positions: dict[str, SimulatedPosition] = {}
self.orders: dict[str, SimulatedOrder] = {}
self.trades: list[dict] = []
self._counter = 0
def submit(
self,
coin: str,
side: str,
size: float,
price: float,
fee_model: str = "taker",
mark_price: float | None = None,
) -> str:
"""Submit a simulated order. Returns client order ID."""
self._counter += 1
cloid = f"paper-{self._counter}"
order = SimulatedOrder(cloid=cloid, coin=coin, side=side, quantity=size, price=price)
self.orders[cloid] = order
# Simulate immediate fill at mark price or limit price
fill_price = mark_price if mark_price and mark_price > 0 else price
fee_rate = self.maker_fee if fee_model == "maker" else self.taker_fee
# Apply slippage
slip = fill_price * self.slippage_bps / 10000
effective_px = fill_price + slip if side.upper() == "BUY" else fill_price - slip
fee = size * effective_px * fee_rate
order.filled = True
order.fill_price = effective_px
order.fee = fee
# Update position
pos = self.positions.get(coin)
if pos and pos.side != side:
# Closing trade — calculate PnL
pnl = (effective_px - pos.entry_price) * min(size, abs(pos.quantity))
if pos.side == "SELL":
pnl = -pnl
order.pnl = pnl
pos.quantity -= size
pos.fee_paid += fee
pos.pnl += pnl
if abs(pos.quantity) < 1e-8:
del self.positions[coin]
else:
# Opening or adding to position
if coin not in self.positions:
self.positions[coin] = SimulatedPosition(
coin=coin, quantity=size, entry_price=effective_px, side=side
)
else:
pos.quantity += size
pos.entry_price = (pos.entry_price * (pos.quantity - size) + effective_px * size) / pos.quantity
trade = {
"cloid": cloid,
"coin": coin,
"side": side,
"size": size,
"price": effective_px,
"fee": round(fee, 6),
"pnl": round(order.pnl, 4),
"timestamp": time.time(),
}
self.trades.append(trade)
logger.debug("Paper fill: %s %s %.6f @ %.1f | pnl=%.4f fee=%.6f",
side, coin, size, effective_px, order.pnl, fee)
return cloid
def cancel(self, cloid: str) -> bool:
if cloid in self.orders and not self.orders[cloid].filled:
del self.orders[cloid]
return True
return False
def get_pnl(self) -> float:
return sum(p.pnl for p in self.positions.values()) + sum(
t.get("pnl", 0) for t in self.trades if t.get("pnl", 0) > 0
)