Initial implementation of hyperliquid.

- Spot
- Swap (long, short, leverage, stoploss_on_exchange)
- dry_run_liquidation_price()

freqtrade/exchange/exchange.py

@@ -144,6 +144,7 @@ class Exchange:
         "trades_pagination": "time",  # Possible are "time" or "id"
         "trades_pagination_arg": "since",
         "trades_has_history": False,
+        "create_order_has_all_data": True,  # Set to False if create_order doesn't return all data
         "l2_limit_range": None,
         "l2_limit_range_required": True,  # Allow Empty L2 limit (kucoin)
         "mark_ohlcv_price": "mark",
@@ -1274,6 +1275,8 @@ class Exchange:
                 rate_for_order,
                 params,
             )
+            if not self._ft_has.get("create_order_has_all_data"):
+                order = self._api.fetch_order(order['id'], pair)
             if order.get("status") is None:
                 # Map empty status to open.
                 order["status"] = "open"

freqtrade/exchange/exchange_types.py

@@ -34,6 +34,8 @@ class FtHas(TypedDict, total=False):
     trades_pagination_arg: str
     trades_has_history: bool
     trades_pagination_overlap: bool
+    # Create order
+    create_order_has_all_data: bool
     # Orderbook
     l2_limit_range: Optional[list[int]]
     l2_limit_range_required: bool

freqtrade/exchange/hyperliquid.py

@@ -1,10 +1,14 @@
 """Hyperliquid exchange subclass"""
 
 import logging
+from typing import Optional
 
-from freqtrade.enums import TradingMode
 from freqtrade.exchange import Exchange
-from freqtrade.exchange.exchange_types import FtHas
+from typing import List, Tuple, Dict
+from freqtrade.enums import MarginMode, TradingMode, CandleType
+from freqtrade.exceptions import OperationalException, ExchangeError
+from freqtrade.constants import BuySell
+from datetime import datetime
 
 
 logger = logging.getLogger(__name__)
@@ -15,21 +19,146 @@ class Hyperliquid(Exchange):
     Contains adjustments needed for Freqtrade to work with this exchange.
     """
 
-    _ft_has: FtHas = {
-        # Only the most recent 5000 candles are available according to the
-        # exchange's API documentation.
+    _ft_has: Dict = {
         "ohlcv_has_history": False,
         "ohlcv_candle_limit": 5000,
-        "trades_has_history": False,  # Trades endpoint doesn't seem available.
+        "orderbook_max_entries": 20,
+        "l2_limit_range": [20],
+        "trades_has_history": False,
+        "tickers_have_bid_ask": False,
+        "stoploss_on_exchange": True,
         "exchange_has_overrides": {"fetchTrades": False},
+        "stoploss_order_types": {"limit": "limit"},
+        "funding_fee_timeframe": "1h",
+        "create_order_has_all_data": False
     }
 
+    _supported_trading_mode_margin_pairs: List[Tuple[TradingMode, MarginMode]] = [
+        (TradingMode.FUTURES, MarginMode.ISOLATED)
+    ]
+
     @property
-    def _ccxt_config(self) -> dict:
-        # Parameters to add directly to ccxt sync/async initialization.
-        # ccxt defaults to swap mode.
+    def _ccxt_config(self) -> Dict:
+        # ccxt Hyperliquid defaults to swap
         config = {}
         if self.trading_mode == TradingMode.SPOT:
             config.update({"options": {"defaultType": "spot"}})
         config.update(super()._ccxt_config)
         return config
+
+    def get_max_leverage(self, pair: str, stake_amount: Optional[float]) -> float:
+        # There are no leverage tiers
+        if self.trading_mode == TradingMode.FUTURES:
+            return self.markets[pair]['limits']['leverage']['max']
+        else:
+            return 1.0
+
+    def ohlcv_candle_limit(
+        self, timeframe: str, candle_type: CandleType, since_ms: Optional[int] = None
+    ) -> int:
+        # Funding rate candles have a different limit
+        if candle_type in CandleType.FUNDING_RATE:
+            return 500
+
+        return super().ohlcv_candle_limit(timeframe, candle_type, since_ms)
+
+    def _lev_prep(self, pair: str, leverage: float, side: BuySell, accept_fail: bool = False):
+        if self.trading_mode != TradingMode.SPOT:
+            # Hyperliquid expects leverage to be an int
+            leverage = int(leverage)
+            # Hyperliquid needs the parameter leverage.
+            # Don't use set_leverage(), as this sets margin back to cross
+            self.set_margin_mode(pair, self.margin_mode, params={"leverage": leverage})
+
+    def dry_run_liquidation_price(
+        self,
+        pair: str,
+        open_rate: float,  # Entry price of position
+        is_short: bool,
+        amount: float,
+        stake_amount: float,
+        leverage: float,
+        wallet_balance: float,  # Or margin balance
+        mm_ex_1: float = 0.0,  # (Binance) Cross only
+        upnl_ex_1: float = 0.0,  # (Binance) Cross only
+    ) -> Optional[float]:
+        """
+        Optimized
+        Docs: https://hyperliquid.gitbook.io/hyperliquid-docs/trading/liquidations
+        Below can be done in fewer lines of code, but like this it matches the documentation.
+
+        Tested with 196 unique ccxt fetch_positions() position outputs
+        - Only first output per position where pnl=0.0
+        - Compare against returned liquidation price
+        Positions: 197 Average deviation: 0.00028980% Max deviation: 0.01309453%
+        Positions info:
+        {'leverage': {1.0: 23, 2.0: 155, 3.0: 8, 4.0: 7, 5.0: 4},
+        'side': {'long': 133, 'short': 64},
+        'symbol': {'BTC/USDC:USDC': 81,
+                   'DOGE/USDC:USDC': 20,
+                   'ETH/USDC:USDC': 53,
+                   'SOL/USDC:USDC': 43}}
+        """
+        # Defining/renaming variables to match the documentation
+        isolated_margin = stake_amount
+        position_size = amount
+        price = open_rate
+        position_value = price * position_size
+        max_leverage = self.markets[pair]['limits']['leverage']['max']
+
+        # Docs: The maintenance margin is half of the initial margin at max leverage,
+        #       which varies from 3-50x. In other words, the maintenance margin is between 1%
+        #       (for 50x max leverage assets) and 16.7% (for 3x max leverage assets)
+        #       depending on the asset
+        # The key thing here is 'Half of the initial margin at max leverage'.
+        # A bit ambiguous, but this interpretation leads to accurate results:
+        #       1. Start from the position value
+        #       2. Assume max leverage, calculate the initial margin by deviding the position value
+        #          by the max leverage
+        #       3. Divide this by 2
+        maintenance_margin_required = position_value / max_leverage / 2
+
+        # Docs: margin_available (isolated) = isolated_margin - maintenance_margin_required
+        margin_available = isolated_margin - maintenance_margin_required
+
+        # Docs: The maintenance margin is half of the initial margin at max leverage
+        # The docs don't explicitly specify maintenance leverage, but this works.
+        # Double because of the statement 'half of the initial margin at max leverage'
+        maintenance_leverage = max_leverage * 2
+
+        # Docs: l = 1 / MAINTENANCE_LEVERAGE (Using 'll' to comply with PEP8: E741)
+        ll = 1 / maintenance_leverage
+
+        # Docs: side = 1 for long and -1 for short
+        side = -1 if is_short else 1
+
+        # Docs: liq_price = price - side * margin_available / position_size / (1 - l * side)
+        liq_price = price - side * margin_available / position_size / (1 - ll * side)
+
+        if self.trading_mode == TradingMode.FUTURES:
+            return liq_price
+        else:
+            raise OperationalException(
+                "Freqtrade only supports isolated futures for leverage trading"
+            )
+
+    def get_funding_fees(
+        self, pair: str, amount: float, is_short: bool, open_date: datetime
+    ) -> float:
+        """
+        Fetch funding fees, either from the exchange (live) or calculates them
+        based on funding rate/mark price history
+        :param pair: The quote/base pair of the trade
+        :param is_short: trade direction
+        :param amount: Trade amount
+        :param open_date: Open date of the trade
+        :return: funding fee since open_date
+        :raises: ExchangeError if something goes wrong.
+        """
+        # Bybit does not provide "applied" funding fees per position.
+        if self.trading_mode == TradingMode.FUTURES:
+            try:
+                return self._fetch_and_calculate_funding_fees(pair, amount, is_short, open_date)
+            except ExchangeError:
+                logger.warning(f"Could not update funding fees for {pair}.")
+        return 0.0

requirements.txt

@@ -4,7 +4,7 @@ bottleneck==1.4.2
 numexpr==2.10.1
 pandas-ta==0.3.14b
 
-ccxt==4.4.20
+ccxt==4.4.22
 cryptography==42.0.8; platform_machine == 'armv7l'
 cryptography==43.0.3; platform_machine != 'armv7l'
 aiohttp==3.10.10