运用python复现十字孕线
时间: 2024-06-26 08:01:45 浏览: 109
在Python中,要复现十字孕线(Candlestick pattern)这一技术分析图形,通常涉及到绘制K线图,这是股票、期货等金融数据可视化中的常见元素。十字孕线是一个反转信号,表示市场趋势不确定或暂时停顿。下面是一个简单的步骤来使用Python库如`matplotlib`和`pandas`来绘制十字孕线:
```python
import pandas as pd
import matplotlib.pyplot as plt
# 假设你有一个包含日期和开盘价、收盘价、最高价、最低价的数据框df
# 示例数据:
data = {
'Date': ['2023-01-01', '2023-01-02', '2023-01-03', '2023-01-04', '2023-01-05'],
'Open': [100, 102, 103, 101, 104],
'Close': [101, 100, 99, 102, 101],
'High': [105, 107, 108, 104, 106],
'Low': [98, 99, 97, 99, 100]
}
df = pd.DataFrame(data)
# 将日期转换为datetime类型
df['Date'] = pd.to_datetime(df['Date'])
# 绘制K线图
plt.figure(figsize=(10, 6))
plt.plot(df['Date'], df['Close'], label='Close')
plt.plot(df['Date'], df['Open'], color='green', linestyle=':', label='Open')
plt.plot(df['Date'], df['High'], color='red', linestyle=':', label='High')
plt.plot(df['Date'], df['Low'], color='blue', linestyle=':', label='Low')
# 标记十字孕线区域
cross_points = ((df['High'] == df['Close']) & (df['Open'] == df['Low'])) | ((df['High'] == df['Open']) & (df['Close'] == df['Low']))
cross_dates = df.loc[cross_points, 'Date']
plt.scatter(cross_dates, df.loc[cross_dates, 'Close'], color='black', marker='x', s=100, label='Crosses')
plt.title('Candlestick Chart with Cross Pattern')
plt.legend()
plt.grid(True)
plt.show()