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commit
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@ -1,12 +1,13 @@
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{
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{
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"strategy": "EthTrueStaticGrid",
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"strategy": "StaticGrid",
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"max_open_trades": 150,
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"max_open_trades": 150,
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"stake_currency": "USDT",
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"stake_currency": "USDT",
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"stake_amount": 40,
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"stake_amount": 40,
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"tradable_balance_ratio": 0.99,
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"tradable_balance_ratio": 0.99,
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"dry_run": false,
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"dry_run": false,
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"timeframe": "1h",
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"timeframe": "1h",
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"position_adjustment_enable": false,
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"position_adjustment_enable": true,
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"process_only_new_candles": false,
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"max_entry_position_adjustment": -1,
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"max_entry_position_adjustment": -1,
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"exchange": {
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"exchange": {
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"name": "okx",
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"name": "okx",
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@ -37,7 +38,6 @@
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"entry": 5,
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"entry": 5,
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"exit": 15
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"exit": 15
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},
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},
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"entry_pricing": {
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"entry_pricing": {
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"price_side": "other",
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"price_side": "other",
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"use_order_book": true,
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"use_order_book": true,
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@ -48,7 +48,11 @@
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"use_order_book": true,
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"use_order_book": true,
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"order_book_top": 1
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"order_book_top": 1
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},
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},
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"pairlists": [{"method": "StaticPairList"}],
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"pairlists": [
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{
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"method": "StaticPairList"
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}
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],
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"bot_name": "ETH-1500to4500-Grid",
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"bot_name": "ETH-1500to4500-Grid",
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"api_server": {
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"api_server": {
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"enabled": true,
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"enabled": true,
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10
user_data/strategies/MyHyperoptStrategy.py
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10
user_data/strategies/MyHyperoptStrategy.py
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def populate_indicators(self, dataframe: pd.DataFrame, metadata: dict) -> pd.DataFrame:
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import numpy as np
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dataframe['ema_short'] = dataframe['close'].ewm(span=self.ema_short_period.value, adjust=False).mean()
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dataframe['ema_long'] = dataframe['close'].ewm(span=self.ema_long_period.value, adjust=False).mean()
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dataframe['rsi'] = ta.RSI(np.array(dataframe['close']), timeperiod=14)
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return dataframe
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@ -18,18 +18,23 @@ class StaticGrid(IStrategy):
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STEP = 50.0
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STEP = 50.0
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STAKE = 40.0
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STAKE = 40.0
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# 必须加这一行!否则报抽象类错误
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def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
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def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
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return dataframe
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return dataframe
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def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
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def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
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for price in [self.LOWER + i * self.STEP for i in range(int((self.UPPER - self.LOWER) // self.STEP) + 3)]:
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# 终极触发:只要这根 1h K 线的 low 曾经跌到过任何一个网格价,就立刻补单
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dataframe.loc[dataframe['low'] <= price, 'enter_long'] = True
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# 当前价 3025 → 下面所有 1500~3000 的网格价,只要历史 low 触碰过,就全部挂上
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for level in range(int((self.UPPER - self.LOWER) // self.STEP) + 5):
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grid_price = self.LOWER + level * self.STEP
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if grid_price <= 3025 + 200: # 当前价附近 200 刀内优先挂
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dataframe.loc[dataframe['low'] <= grid_price, 'enter_long'] = 1
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return dataframe
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return dataframe
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def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
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def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
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for price in [self.LOWER + i * self.STEP for i in range(int((self.UPPER - self.LOWER) // self.STEP) + 3)]:
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for level in range(int((self.UPPER - self.LOWER) // self.STEP) + 5):
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dataframe.loc[dataframe['high'] >= price, 'exit_long'] = True
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grid_price = self.LOWER + level * self.STEP
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if grid_price >= 3025 - 200:
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dataframe.loc[dataframe['high'] >= grid_price, 'exit_long'] = 1
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return dataframe
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return dataframe
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def custom_stake_amount(self, **kwargs) -> float:
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def custom_stake_amount(self, **kwargs) -> float:
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