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https://github.com/d0zingcat/deploy.git
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(feat) update controllers
This commit is contained in:
cardosofede
@@ -1,9 +1,9 @@
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from typing import List
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import pandas_ta as ta # noqa: F401
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from pydantic import Field, validator
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from pydantic import Field, field_validator
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from pydantic_core.core_schema import ValidationInfo
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from hummingbot.client.config.config_data_types import ClientFieldData
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from hummingbot.data_feed.candles_feed.data_types import CandlesConfig
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from hummingbot.strategy_v2.controllers.directional_trading_controller_base import (
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DirectionalTradingControllerBase,
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@@ -12,56 +12,42 @@ from hummingbot.strategy_v2.controllers.directional_trading_controller_base impo
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class BollingerV1ControllerConfig(DirectionalTradingControllerConfigBase):
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controller_name = "bollinger_v1"
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controller_name: str = "bollinger_v1"
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candles_config: List[CandlesConfig] = []
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candles_connector: str = Field(
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default=None,
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client_data=ClientFieldData(
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prompt_on_new=True,
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prompt=lambda mi: "Enter the connector for the candles data, leave empty to use the same exchange as the connector: ", )
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)
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json_schema_extra={
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"prompt": "Enter the connector for the candles data, leave empty to use the same exchange as the connector: ",
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"prompt_on_new": True})
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candles_trading_pair: str = Field(
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default=None,
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client_data=ClientFieldData(
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prompt_on_new=True,
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prompt=lambda mi: "Enter the trading pair for the candles data, leave empty to use the same trading pair as the connector: ", )
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)
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json_schema_extra={
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"prompt": "Enter the trading pair for the candles data, leave empty to use the same trading pair as the connector: ",
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"prompt_on_new": True})
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interval: str = Field(
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default="3m",
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client_data=ClientFieldData(
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prompt=lambda mi: "Enter the candle interval (e.g., 1m, 5m, 1h, 1d): ",
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prompt_on_new=False))
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json_schema_extra={
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"prompt": "Enter the candle interval (e.g., 1m, 5m, 1h, 1d): ",
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"prompt_on_new": True})
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bb_length: int = Field(
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default=100,
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client_data=ClientFieldData(
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prompt=lambda mi: "Enter the Bollinger Bands length: ",
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prompt_on_new=True))
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bb_std: float = Field(
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default=2.0,
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client_data=ClientFieldData(
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prompt=lambda mi: "Enter the Bollinger Bands standard deviation: ",
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prompt_on_new=False))
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bb_long_threshold: float = Field(
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default=0.0,
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client_data=ClientFieldData(
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prompt=lambda mi: "Enter the Bollinger Bands long threshold: ",
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prompt_on_new=True))
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bb_short_threshold: float = Field(
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default=1.0,
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client_data=ClientFieldData(
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prompt=lambda mi: "Enter the Bollinger Bands short threshold: ",
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prompt_on_new=True))
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json_schema_extra={"prompt": "Enter the Bollinger Bands length: ", "prompt_on_new": True})
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bb_std: float = Field(default=2.0)
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bb_long_threshold: float = Field(default=0.0)
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bb_short_threshold: float = Field(default=1.0)
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@validator("candles_connector", pre=True, always=True)
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def set_candles_connector(cls, v, values):
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@field_validator("candles_connector", mode="before")
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@classmethod
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def set_candles_connector(cls, v, validation_info: ValidationInfo):
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if v is None or v == "":
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return values.get("connector_name")
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return validation_info.data.get("connector_name")
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return v
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@validator("candles_trading_pair", pre=True, always=True)
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def set_candles_trading_pair(cls, v, values):
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@field_validator("candles_trading_pair", mode="before")
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@classmethod
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def set_candles_trading_pair(cls, v, validation_info: ValidationInfo):
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if v is None or v == "":
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return values.get("trading_pair")
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return validation_info.data.get("trading_pair")
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return v
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@@ -3,9 +3,9 @@ from decimal import Decimal
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from typing import List, Optional, Tuple
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import pandas_ta as ta # noqa: F401
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from pydantic import Field, validator
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from pydantic import Field, field_validator
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from pydantic_core.core_schema import ValidationInfo
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from hummingbot.client.config.config_data_types import ClientFieldData
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from hummingbot.core.data_type.common import TradeType
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from hummingbot.data_feed.candles_feed.data_types import CandlesConfig
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from hummingbot.strategy_v2.controllers.directional_trading_controller_base import (
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@@ -21,75 +21,63 @@ class DManV3ControllerConfig(DirectionalTradingControllerConfigBase):
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candles_config: List[CandlesConfig] = []
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candles_connector: str = Field(
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default=None,
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client_data=ClientFieldData(
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prompt_on_new=True,
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prompt=lambda mi: "Enter the connector for the candles data, leave empty to use the same exchange as the connector: ",)
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)
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json_schema_extra={
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"prompt": "Enter the connector for the candles data, leave empty to use the same exchange as the connector: ",
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"prompt_on_new": True})
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candles_trading_pair: str = Field(
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default=None,
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client_data=ClientFieldData(
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prompt_on_new=True,
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prompt=lambda mi: "Enter the trading pair for the candles data, leave empty to use the same trading pair as the connector: ",)
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)
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json_schema_extra={
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"prompt": "Enter the trading pair for the candles data, leave empty to use the same trading pair as the connector: ",
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"prompt_on_new": True})
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interval: str = Field(
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default="30m",
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client_data=ClientFieldData(
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prompt=lambda mi: "Enter the candle interval (e.g., 1m, 5m, 1h, 1d): ",
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prompt_on_new=True))
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default="3m",
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json_schema_extra={
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"prompt": "Enter the candle interval (e.g., 1m, 5m, 1h, 1d): ",
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"prompt_on_new": True})
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bb_length: int = Field(
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default=100,
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client_data=ClientFieldData(
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prompt=lambda mi: "Enter the Bollinger Bands length: ",
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prompt_on_new=True))
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bb_std: float = Field(
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default=2.0,
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client_data=ClientFieldData(
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prompt=lambda mi: "Enter the Bollinger Bands standard deviation: ",
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prompt_on_new=False))
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bb_long_threshold: float = Field(
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default=0.0,
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client_data=ClientFieldData(
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is_updatable=True,
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prompt=lambda mi: "Enter the Bollinger Bands long threshold: ",
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prompt_on_new=True))
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bb_short_threshold: float = Field(
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default=1.0,
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client_data=ClientFieldData(
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is_updatable=True,
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prompt=lambda mi: "Enter the Bollinger Bands short threshold: ",
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prompt_on_new=True))
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json_schema_extra={"prompt": "Enter the Bollinger Bands length: ", "prompt_on_new": True})
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bb_std: float = Field(default=2.0)
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bb_long_threshold: float = Field(default=0.0)
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bb_short_threshold: float = Field(default=1.0)
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trailing_stop: Optional[TrailingStop] = Field(
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default="0.015,0.005",
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json_schema_extra={
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"prompt": "Enter the trailing stop parameters (activation_price, trailing_delta) as a comma-separated list: ",
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"prompt_on_new": True,
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}
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)
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dca_spreads: List[Decimal] = Field(
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default="0.001,0.018,0.15,0.25",
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client_data=ClientFieldData(
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prompt=lambda mi: "Enter the spreads for each DCA level (comma-separated) if dynamic_spread=True this value "
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"will multiply the Bollinger Bands width, e.g. if the Bollinger Bands width is 0.1 (10%)"
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"and the spread is 0.2, the distance of the order to the current price will be 0.02 (2%) ",
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prompt_on_new=True))
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json_schema_extra={
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"prompt": "Enter the spreads for each DCA level (comma-separated) if dynamic_spread=True this value "
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"will multiply the Bollinger Bands width, e.g. if the Bollinger Bands width is 0.1 (10%)"
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"and the spread is 0.2, the distance of the order to the current price will be 0.02 (2%) ",
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"prompt_on_new": True},
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)
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dca_amounts_pct: List[Decimal] = Field(
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default=None,
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client_data=ClientFieldData(
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prompt=lambda mi: "Enter the amounts for each DCA level (as a percentage of the total balance, "
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"comma-separated). Don't worry about the final sum, it will be normalized. ",
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prompt_on_new=True))
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json_schema_extra={
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"prompt": "Enter the amounts for each DCA level (as a percentage of the total balance, "
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"comma-separated). Don't worry about the final sum, it will be normalized. ",
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"prompt_on_new": True},
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)
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dynamic_order_spread: bool = Field(
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default=None,
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client_data=ClientFieldData(
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prompt=lambda mi: "Do you want to make the spread dynamic? (Yes/No) ",
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prompt_on_new=True))
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json_schema_extra={"prompt": "Do you want to make the spread dynamic? (Yes/No) ", "prompt_on_new": True})
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dynamic_target: bool = Field(
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default=None,
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client_data=ClientFieldData(
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prompt=lambda mi: "Do you want to make the target dynamic? (Yes/No) ",
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prompt_on_new=True))
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json_schema_extra={"prompt": "Do you want to make the target dynamic? (Yes/No) ", "prompt_on_new": True})
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activation_bounds: Optional[List[Decimal]] = Field(
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default=None,
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client_data=ClientFieldData(
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prompt=lambda mi: "Enter the activation bounds for the orders "
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"(e.g., 0.01 activates the next order when the price is closer than 1%): ",
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prompt_on_new=True))
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json_schema_extra={
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"prompt": "Enter the activation bounds for the orders (e.g., 0.01 activates the next order when the price is closer than 1%): ",
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"prompt_on_new": True,
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}
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)
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@validator("activation_bounds", pre=True, always=True)
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@field_validator("activation_bounds", mode="before")
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@classmethod
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def parse_activation_bounds(cls, v):
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if isinstance(v, str):
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if v == "":
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@@ -99,15 +87,17 @@ class DManV3ControllerConfig(DirectionalTradingControllerConfigBase):
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return [Decimal(val) for val in v]
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return v
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@validator('dca_spreads', pre=True, always=True)
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@field_validator('dca_spreads', mode="before")
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@classmethod
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def validate_spreads(cls, v):
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if isinstance(v, str):
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return [Decimal(val) for val in v.split(",")]
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return v
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@validator('dca_amounts_pct', pre=True, always=True)
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def validate_amounts(cls, v, values):
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spreads = values.get("dca_spreads")
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@field_validator('dca_amounts_pct', mode="before")
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@classmethod
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def validate_amounts(cls, v, validation_info: ValidationInfo):
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spreads = validation_info.data.get("dca_spreads")
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if isinstance(v, str):
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if v == "":
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return [Decimal('1.0') / len(spreads) for _ in spreads]
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@@ -119,6 +109,20 @@ class DManV3ControllerConfig(DirectionalTradingControllerConfigBase):
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return [Decimal('1.0') / len(spreads) for _ in spreads]
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return v
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@field_validator("candles_connector", mode="before")
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@classmethod
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def set_candles_connector(cls, v, validation_info: ValidationInfo):
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if v is None or v == "":
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return validation_info.data.get("connector_name")
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return v
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@field_validator("candles_trading_pair", mode="before")
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@classmethod
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def set_candles_trading_pair(cls, v, validation_info: ValidationInfo):
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if v is None or v == "":
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return validation_info.data.get("trading_pair")
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return v
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def get_spreads_and_amounts_in_quote(self, trade_type: TradeType, total_amount_quote: Decimal) -> Tuple[List[Decimal], List[Decimal]]:
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amounts_pct = self.dca_amounts_pct
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if amounts_pct is None:
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@@ -133,18 +137,6 @@ class DManV3ControllerConfig(DirectionalTradingControllerConfigBase):
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return self.dca_spreads, [amt_pct * total_amount_quote for amt_pct in normalized_amounts_pct]
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@validator("candles_connector", pre=True, always=True)
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def set_candles_connector(cls, v, values):
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if v is None or v == "":
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return values.get("connector_name")
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return v
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@validator("candles_trading_pair", pre=True, always=True)
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def set_candles_trading_pair(cls, v, values):
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if v is None or v == "":
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return values.get("trading_pair")
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return v
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class DManV3Controller(DirectionalTradingControllerBase):
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"""
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@@ -201,8 +193,12 @@ class DManV3Controller(DirectionalTradingControllerBase):
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prices = [price * (1 + spread * spread_multiplier) for spread in spread]
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if self.config.dynamic_target:
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stop_loss = self.config.stop_loss * spread_multiplier
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trailing_stop = TrailingStop(activation_price=self.config.trailing_stop.activation_price * spread_multiplier,
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trailing_delta=self.config.trailing_stop.trailing_delta * spread_multiplier)
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if self.config.trailing_stop:
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trailing_stop = TrailingStop(
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activation_price=self.config.trailing_stop.activation_price * spread_multiplier,
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trailing_delta=self.config.trailing_stop.trailing_delta * spread_multiplier)
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else:
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trailing_stop = None
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else:
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stop_loss = self.config.stop_loss
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trailing_stop = self.config.trailing_stop
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@@ -1,9 +1,9 @@
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from typing import List
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import pandas_ta as ta # noqa: F401
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from pydantic import Field, validator
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from pydantic import Field, field_validator
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from pydantic_core.core_schema import ValidationInfo
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from hummingbot.client.config.config_data_types import ClientFieldData
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from hummingbot.data_feed.candles_feed.data_types import CandlesConfig
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from hummingbot.strategy_v2.controllers.directional_trading_controller_base import (
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DirectionalTradingControllerBase,
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@@ -12,71 +12,51 @@ from hummingbot.strategy_v2.controllers.directional_trading_controller_base impo
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class MACDBBV1ControllerConfig(DirectionalTradingControllerConfigBase):
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controller_name = "macd_bb_v1"
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controller_name: str = "macd_bb_v1"
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candles_config: List[CandlesConfig] = []
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candles_connector: str = Field(
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default=None,
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client_data=ClientFieldData(
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prompt_on_new=True,
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prompt=lambda mi: "Enter the connector for the candles data, leave empty to use the same exchange as the connector: ", )
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)
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json_schema_extra={
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"prompt": "Enter the connector for the candles data, leave empty to use the same exchange as the connector: ",
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"prompt_on_new": True})
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candles_trading_pair: str = Field(
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default=None,
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client_data=ClientFieldData(
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prompt_on_new=True,
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prompt=lambda mi: "Enter the trading pair for the candles data, leave empty to use the same trading pair as the connector: ", )
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)
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json_schema_extra={
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"prompt": "Enter the trading pair for the candles data, leave empty to use the same trading pair as the connector: ",
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"prompt_on_new": True})
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interval: str = Field(
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default="3m",
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client_data=ClientFieldData(
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prompt=lambda mi: "Enter the candle interval (e.g., 1m, 5m, 1h, 1d): ",
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prompt_on_new=False))
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json_schema_extra={
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"prompt": "Enter the candle interval (e.g., 1m, 5m, 1h, 1d): ",
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"prompt_on_new": True})
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bb_length: int = Field(
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default=100,
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client_data=ClientFieldData(
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prompt=lambda mi: "Enter the Bollinger Bands length: ",
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prompt_on_new=True))
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bb_std: float = Field(
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default=2.0,
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client_data=ClientFieldData(
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prompt=lambda mi: "Enter the Bollinger Bands standard deviation: ",
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prompt_on_new=False))
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bb_long_threshold: float = Field(
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default=0.0,
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client_data=ClientFieldData(
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prompt=lambda mi: "Enter the Bollinger Bands long threshold: ",
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prompt_on_new=True))
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bb_short_threshold: float = Field(
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default=1.0,
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client_data=ClientFieldData(
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prompt=lambda mi: "Enter the Bollinger Bands short threshold: ",
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prompt_on_new=True))
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json_schema_extra={"prompt": "Enter the Bollinger Bands length: ", "prompt_on_new": True})
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bb_std: float = Field(default=2.0)
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bb_long_threshold: float = Field(default=0.0)
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bb_short_threshold: float = Field(default=1.0)
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macd_fast: int = Field(
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default=21,
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client_data=ClientFieldData(
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prompt=lambda mi: "Enter the MACD fast period: ",
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prompt_on_new=True))
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json_schema_extra={"prompt": "Enter the MACD fast period: ", "prompt_on_new": True})
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macd_slow: int = Field(
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default=42,
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client_data=ClientFieldData(
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prompt=lambda mi: "Enter the MACD slow period: ",
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prompt_on_new=True))
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json_schema_extra={"prompt": "Enter the MACD slow period: ", "prompt_on_new": True})
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macd_signal: int = Field(
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default=9,
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client_data=ClientFieldData(
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prompt=lambda mi: "Enter the MACD signal period: ",
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prompt_on_new=True))
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json_schema_extra={"prompt": "Enter the MACD signal period: ", "prompt_on_new": True})
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@validator("candles_connector", pre=True, always=True)
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def set_candles_connector(cls, v, values):
|
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@field_validator("candles_connector", mode="before")
|
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@classmethod
|
||||
def set_candles_connector(cls, v, validation_info: ValidationInfo):
|
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if v is None or v == "":
|
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return values.get("connector_name")
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return validation_info.data.get("connector_name")
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return v
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@validator("candles_trading_pair", pre=True, always=True)
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def set_candles_trading_pair(cls, v, values):
|
||||
@field_validator("candles_trading_pair", mode="before")
|
||||
@classmethod
|
||||
def set_candles_trading_pair(cls, v, validation_info: ValidationInfo):
|
||||
if v is None or v == "":
|
||||
return values.get("trading_pair")
|
||||
return validation_info.data.get("trading_pair")
|
||||
return v
|
||||
|
||||
|
||||
@@ -84,7 +64,7 @@ class MACDBBV1Controller(DirectionalTradingControllerBase):
|
||||
|
||||
def __init__(self, config: MACDBBV1ControllerConfig, *args, **kwargs):
|
||||
self.config = config
|
||||
self.max_records = max(config.macd_slow, config.macd_fast, config.macd_signal, config.bb_length) + 200
|
||||
self.max_records = max(config.macd_slow, config.macd_fast, config.macd_signal, config.bb_length) + 20
|
||||
if len(self.config.candles_config) == 0:
|
||||
self.config.candles_config = [CandlesConfig(
|
||||
connector=config.candles_connector,
|
||||
|
||||
@@ -1,9 +1,9 @@
|
||||
from typing import List, Optional
|
||||
from typing import List
|
||||
|
||||
import pandas_ta as ta # noqa: F401
|
||||
from pydantic import Field, validator
|
||||
from pydantic import Field, field_validator
|
||||
from pydantic_core.core_schema import ValidationInfo
|
||||
|
||||
from hummingbot.client.config.config_data_types import ClientFieldData
|
||||
from hummingbot.data_feed.candles_feed.data_types import CandlesConfig
|
||||
from hummingbot.strategy_v2.controllers.directional_trading_controller_base import (
|
||||
DirectionalTradingControllerBase,
|
||||
@@ -14,23 +14,41 @@ from hummingbot.strategy_v2.controllers.directional_trading_controller_base impo
|
||||
class SuperTrendConfig(DirectionalTradingControllerConfigBase):
|
||||
controller_name: str = "supertrend_v1"
|
||||
candles_config: List[CandlesConfig] = []
|
||||
candles_connector: Optional[str] = Field(default=None, client_data=ClientFieldData(prompt_on_new=True, prompt=lambda mi: "Enter the connector for the candles data, leave empty to use the same exchange as the connector: ", ))
|
||||
candles_trading_pair: Optional[str] = Field(default=None, client_data=ClientFieldData(prompt_on_new=True, prompt=lambda mi: "Enter the trading pair for the candles data, leave empty to use the same trading pair as the connector: ", ))
|
||||
interval: str = Field(default="3m", client_data=ClientFieldData(prompt=lambda mi: "Enter the candle interval (e.g., 1m, 5m, 1h, 1d): ", prompt_on_new=False))
|
||||
length: int = Field(default=20, client_data=ClientFieldData(prompt=lambda mi: "Enter the supertrend length: ", prompt_on_new=True))
|
||||
multiplier: float = Field(default=4.0, client_data=ClientFieldData(prompt=lambda mi: "Enter the supertrend multiplier: ", prompt_on_new=True))
|
||||
percentage_threshold: float = Field(default=0.01, client_data=ClientFieldData(prompt=lambda mi: "Enter the percentage threshold: ", prompt_on_new=True))
|
||||
candles_connector: str = Field(
|
||||
default=None,
|
||||
json_schema_extra={
|
||||
"prompt": "Enter the connector for the candles data, leave empty to use the same exchange as the connector: ",
|
||||
"prompt_on_new": True})
|
||||
candles_trading_pair: str = Field(
|
||||
default=None,
|
||||
json_schema_extra={
|
||||
"prompt": "Enter the trading pair for the candles data, leave empty to use the same trading pair as the connector: ",
|
||||
"prompt_on_new": True})
|
||||
interval: str = Field(
|
||||
default="3m",
|
||||
json_schema_extra={"prompt": "Enter the candle interval (e.g., 1m, 5m, 1h, 1d): ", "prompt_on_new": True})
|
||||
length: int = Field(
|
||||
default=20,
|
||||
json_schema_extra={"prompt": "Enter the supertrend length: ", "prompt_on_new": True})
|
||||
multiplier: float = Field(
|
||||
default=4.0,
|
||||
json_schema_extra={"prompt": "Enter the supertrend multiplier: ", "prompt_on_new": True})
|
||||
percentage_threshold: float = Field(
|
||||
default=0.01,
|
||||
json_schema_extra={"prompt": "Enter the percentage threshold: ", "prompt_on_new": True})
|
||||
|
||||
@validator("candles_connector", pre=True, always=True)
|
||||
def set_candles_connector(cls, v, values):
|
||||
@field_validator("candles_connector", mode="before")
|
||||
@classmethod
|
||||
def set_candles_connector(cls, v, validation_info: ValidationInfo):
|
||||
if v is None or v == "":
|
||||
return values.get("connector_name")
|
||||
return validation_info.data.get("connector_name")
|
||||
return v
|
||||
|
||||
@validator("candles_trading_pair", pre=True, always=True)
|
||||
def set_candles_trading_pair(cls, v, values):
|
||||
@field_validator("candles_trading_pair", mode="before")
|
||||
@classmethod
|
||||
def set_candles_trading_pair(cls, v, validation_info: ValidationInfo):
|
||||
if v is None or v == "":
|
||||
return values.get("trading_pair")
|
||||
return validation_info.data.get("trading_pair")
|
||||
return v
|
||||
|
||||
|
||||
|
||||
Reference in New Issue
Block a user