缠论技术指标的实现

缠论技术指标的实现需要使用Python编程语言，并结合相关的数据分析库和可视化库。以下是一个简单的示例代码，用于计算股票价格的中枢：

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

def find_zhongshu(data):
    """
    寻找中枢
    """
    data['high_max'] = data['high'].rolling(window=3).max()
    data['low_min'] = data['low'].rolling(window=3).min()
    data['zhongshu'] = 0
    for i in range(3, len(data)):
        if data['high_max'][i] > data['high_max'][i-1] and data['high_max'][i] > data['high_max'][i-2]:
            data['zhongshu'][i] = data['high_max'][i]
        elif data['low_min'][i] < data['low_min'][i-1] and data['low_min'][i] < data['low_min'][i-2]:
            data['zhongshu'][i] = data['low_min'][i]
        else:
            data['zhongshu'][i] = (data['high_max'][i-1] + data['low_min'][i]) / 2
    return data

# 读取股票数据
data = pd.read_csv('stock_data.csv')

# 计算中枢
data = find_zhongshu(data)

# 绘制K线图和中枢
plt.plot(data['date'], data['close'], label='Close Price')
plt.plot(data['date'], data['zhongshu'], label='Zhongshu')
plt.legend()
plt.show()

        

          
        
        
        

          

          AI 代码解读
        
      
      

以上代码中，find_zhongshu函数用于寻找股票价格的中枢，它通过计算过去3个交易日内的最高价和最低价来寻找中枢。然后，使用Matplotlib库绘制K线图和中枢。