47 lines
1.9 KiB
Python
47 lines
1.9 KiB
Python
# user_data/strategies/EthTrueStaticGrid.py ← 复制整个文件
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from freqtrade.strategy import IStrategy
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from pandas import DataFrame
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class StaticGrid(IStrategy):
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INTERFACE_VERSION = 3
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timeframe = '1h' # 1h 或 4h 都行，建议 1h 更灵敏
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can_short = False
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minimal_roi = {"0": 100}
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stoploss = -0.99
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use_exit_signal = True
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position_adjustment_enable = True
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max_entry_position_adjustment = -1
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# ================== 永续静态网格参数 ==================
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LOWER = 1500.0
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UPPER = 4500.0
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GRID_STEP = 50.0 # 每格 50 USDT
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GRID_COUNT = int((UPPER - LOWER) / GRID_STEP) # = 60 格
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STAKE_PER_ORDER = 40 # 每张单 40 USDT（60格 × 40 × 2 ≈ 4800 USDT 吃满）
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def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> 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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price = dataframe['close'].iloc[-1]
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# 从 1500 到 4450 每 50 USDT 一个价位，只要价格跌到或跌破这个价，就买入
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for level in range(self.GRID_COUNT):
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buy_price = self.LOWER + level * self.GRID_STEP
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if price <= buy_price:
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dataframe.loc[dataframe['low'] <= buy_price, 'enter_long'] = True
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return dataframe
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def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
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price = dataframe['close'].iloc[-1]
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# 从 1550 到 4500 每 50 USDT 一个价位，只要价格涨到或超过这个价，就卖出
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for level in range(1, self.GRID_COUNT + 1):
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sell_price = self.LOWER + level * self.GRID_STEP
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if price >= sell_price:
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dataframe.loc[dataframe['high'] >= sell_price, 'exit_long'] = True
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return dataframe
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def custom_stake_amount(self, **kwargs) -> float:
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return self.STAKE_PER_ORDER |