老师好，麻烦老师把代码改为金字塔可用的代码

股市封神斗罗

如题

import pandas as pd

import numpy as np

import matplotlib.pyplot as plt

# 准备数据

data = pd.read_csv("your_data_file.csv") #导入你的数据文件

data['Date'] = pd.to_datetime(data['Date'])

data.set_index('Date', inplace=True)

# 定义函数以识别 Wolfe Wave 牛市和熊市形态

def find_wolfe_wave(data, window=50):

    wolfe_waves = []

    for start in range(len(data) - window):

        subset = data.iloc[start:start + window]

        local_max = subset['High'].max()

        local_min = subset['Low'].min()

        point1 = subset['Low'].idxmin()

        point3_idx = subset[subset.index > point1]['Low'].idxmin()

        point5_idx = subset[subset.index > point3_idx]['Low'].idxmin()

        point2 = subset['High'].idxmax()

        point4_idx = subset[subset.index > point2]['High'].idxmax()

        if point5_idx == subset.index[-1]:

            if point1 < point2 < point3_idx < point4_idx < point5_idx:

                wolfe_waves.append((point1, point2, point3_idx, point4_idx, point5_idx))

            elif point1 < point2 < point3_idx < point4_idx and (point2 - point1) > (point4_idx - point3_idx):

                wolfe_waves.append((point1, point2, point3_idx, point4_idx, point5_idx))

    return wolfe_waves

# 对数据应用函数

window = 50

wolfe_wave_patterns = find_wolfe_wave(data, window)

# 画出数据和Wolfe Wave形态

plt.figure(figsize=(12, 6))

plt.plot(data['Close'])

for pattern in wolfe_wave_patterns:

    point1, point2, point3, point4, point5 = pattern

    plt.plot([point1, point3, point5], [data.loc[point1, 'Low'], data.loc[point3, 'Low'], data.loc[point5, 'Low']], 'r-')

    plt.plot([point2, point4], [data.loc[point2, 'High'], data.loc[point4, 'High']], 'b-')

plt.title('Wolfe Wave Patterns in Market Data')

plt.xlabel('Date')

plt.ylabel('Price')

plt.show()

技术006

抱歉，python这不在基础技术支持范畴。并且python是通用型语言，压根不需要翻译。只要基本一定的py基础，即可在获取金字塔提供的数据后，进行相应的数据处理工作。