利用DMA和MACD指标的黄金交叉策略轻松捕捉股市机会！

下面是使用DMA和MACD组合指标的交易策略示例代码：

import tushare as ts

# 下载数据
df = ts.get_k_data('股票代码', start='开始日期', end='结束日期')

# 计算DMA指标
df['DMA_Short'] = df['close'].rolling(window=10).mean()
df['DMA_Long'] = df['close'].rolling(window=20).mean()

# 计算MACD指标
df['MACD'], _, _ = talib.MACD(df['close'])

# 生成交易信号
df['Buy_Signal'] = (df['DMA_Short'] > df['DMA_Long']) & (df['MACD'] > 0) & (df['MACD'].shift() <= 0)
df['Sell_Signal'] = (df['DMA_Short'] < df['DMA_Long']) & (df['MACD'] < 0) & (df['MACD'].shift() >= 0)

# 执行交易
position = False
for index, row in df.iterrows():
    if row['Buy_Signal'] and not position:
        # 买入股票
        print("买入股票")
        position = True
    elif row['Sell_Signal'] and position:
        # 卖出股票
        print("卖出股票")
        position = False

请将代码中的’股票代码’替换为你要操作的股票代码，’开始日期’和’结束日期’替换为你的数据时间范围。代码将下载数据并计算DMA和MACD指标。然后，通过比较DMA指标的短期和长期均线的交叉情况生成交易信号，执行相应的买入和卖出操作。