Files
deploy/bots/controllers/market_making/dman_maker_v2.py
2025-04-11 16:01:45 -03:00

117 lines
5.1 KiB
Python

from decimal import Decimal
from typing import List, Optional
import pandas_ta as ta # noqa: F401
from pydantic import Field, field_validator
from hummingbot.core.data_type.common import TradeType
from hummingbot.data_feed.candles_feed.data_types import CandlesConfig
from hummingbot.strategy_v2.controllers.market_making_controller_base import (
MarketMakingControllerBase,
MarketMakingControllerConfigBase,
)
from hummingbot.strategy_v2.executors.dca_executor.data_types import DCAExecutorConfig, DCAMode
from hummingbot.strategy_v2.models.executor_actions import ExecutorAction, StopExecutorAction
class DManMakerV2Config(MarketMakingControllerConfigBase):
"""
Configuration required to run the D-Man Maker V2 strategy.
"""
controller_name: str = "dman_maker_v2"
candles_config: List[CandlesConfig] = []
# DCA configuration
dca_spreads: List[Decimal] = Field(
default="0.01,0.02,0.04,0.08",
json_schema_extra={"prompt": "Enter a comma-separated list of spreads for each DCA level: ", "prompt_on_new": True})
dca_amounts: List[Decimal] = Field(
default="0.1,0.2,0.4,0.8",
json_schema_extra={"prompt": "Enter a comma-separated list of amounts for each DCA level: ", "prompt_on_new": True})
top_executor_refresh_time: Optional[float] = Field(default=None, json_schema_extra={"is_updatable": True})
executor_activation_bounds: Optional[List[Decimal]] = Field(default=None, json_schema_extra={"is_updatable": True})
@field_validator("executor_activation_bounds", mode="before")
@classmethod
def parse_activation_bounds(cls, v):
if isinstance(v, list):
return [Decimal(val) for val in v]
elif isinstance(v, str):
if v == "":
return None
return [Decimal(val) for val in v.split(",")]
return v
@field_validator('dca_spreads', mode="before")
@classmethod
def parse_dca_spreads(cls, v):
if v is None:
return []
if isinstance(v, str):
if v == "":
return []
return [float(x.strip()) for x in v.split(',')]
return v
@field_validator('dca_amounts', mode="before")
@classmethod
def parse_and_validate_dca_amounts(cls, v, validation_info):
if v is None or v == "":
return [1 for _ in validation_info.data['dca_spreads']]
if isinstance(v, str):
return [float(x.strip()) for x in v.split(',')]
elif isinstance(v, list) and len(v) != len(validation_info.data['dca_spreads']):
raise ValueError(
f"The number of dca amounts must match the number of {validation_info.data['dca_spreads']}.")
return v
class DManMakerV2(MarketMakingControllerBase):
def __init__(self, config: DManMakerV2Config, *args, **kwargs):
super().__init__(config, *args, **kwargs)
self.config = config
self.dca_amounts_pct = [Decimal(amount) / sum(self.config.dca_amounts) for amount in self.config.dca_amounts]
self.spreads = self.config.dca_spreads
def first_level_refresh_condition(self, executor):
if self.config.top_executor_refresh_time is not None:
if self.get_level_from_level_id(executor.custom_info["level_id"]) == 0:
return self.market_data_provider.time() - executor.timestamp > self.config.top_executor_refresh_time
return False
def order_level_refresh_condition(self, executor):
return self.market_data_provider.time() - executor.timestamp > self.config.executor_refresh_time
def executors_to_refresh(self) -> List[ExecutorAction]:
executors_to_refresh = self.filter_executors(
executors=self.executors_info,
filter_func=lambda x: not x.is_trading and x.is_active and (self.order_level_refresh_condition(x) or self.first_level_refresh_condition(x)))
return [StopExecutorAction(
controller_id=self.config.id,
executor_id=executor.id) for executor in executors_to_refresh]
def get_executor_config(self, level_id: str, price: Decimal, amount: Decimal):
trade_type = self.get_trade_type_from_level_id(level_id)
if trade_type == TradeType.BUY:
prices = [price * (1 - spread) for spread in self.spreads]
else:
prices = [price * (1 + spread) for spread in self.spreads]
amounts = [amount * pct for pct in self.dca_amounts_pct]
amounts_quote = [amount * price for amount, price in zip(amounts, prices)]
return DCAExecutorConfig(
timestamp=self.market_data_provider.time(),
connector_name=self.config.connector_name,
trading_pair=self.config.trading_pair,
mode=DCAMode.MAKER,
side=trade_type,
prices=prices,
amounts_quote=amounts_quote,
level_id=level_id,
time_limit=self.config.time_limit,
stop_loss=self.config.stop_loss,
take_profit=self.config.take_profit,
trailing_stop=self.config.trailing_stop,
activation_bounds=self.config.executor_activation_bounds,
leverage=self.config.leverage,
)