Files
hyper/strategies/ma_cross_strategy.py

31 lines
1.3 KiB
Python

import pandas as pd
from strategies.base_strategy import BaseStrategy
import logging
class MaCrossStrategy(BaseStrategy):
"""
A strategy based on a fast Simple Moving Average (SMA) crossing
a slow SMA.
"""
# --- FIX: Changed 3rd argument from log_level to trade_signal_queue ---
def __init__(self, strategy_name: str, params: dict, trade_signal_queue):
# --- FIX: Passed trade_signal_queue to the parent class ---
super().__init__(strategy_name, params, trade_signal_queue)
self.fast_ma_period = self.params.get('short_ma') or self.params.get('fast') or 0
self.slow_ma_period = self.params.get('long_ma') or self.params.get('slow') or 0
def calculate_signals(self, df: pd.DataFrame) -> pd.DataFrame:
if not self.fast_ma_period or not self.slow_ma_period or len(df) < self.slow_ma_period:
logging.warning(f"Not enough data for MA periods.")
df['signal'] = 0
return df
df['fast_sma'] = df['close'].rolling(window=self.fast_ma_period).mean()
df['slow_sma'] = df['close'].rolling(window=self.slow_ma_period).mean()
df['signal'] = 0
df.loc[df['fast_sma'] > df['slow_sma'], 'signal'] = 1
df.loc[df['fast_sma'] < df['slow_sma'], 'signal'] = -1
return df