在Python 2.7中计算正确的MACD和RSI索引，因为它们显示在binance web界面中

import numpy as np
import pandas as pd

def calculate_macd(data, short_period=12, long_period=26, signal_period=9):
    # 计算指数移动平均线（EMA）
    ema_short = data.ewm(span=short_period, adjust=False).mean()
    ema_long = data.ewm(span=long_period, adjust=False).mean()

    # 计算差离值（DIF）
    dif = ema_short - ema_long

    # 计算信号线（DEA）
    signal = dif.ewm(span=signal_period, adjust=False).mean()

    # 计算MACD柱状图
    macd = dif - signal

    return dif, signal, macd

def calculate_rsi(data, period=14):
    # 计算价格变化
    delta = data.diff()

    # 去除第一个NaN值
    delta = delta[1:]

    # 分别计算上涨和下跌的价格变化
    up = delta.copy()
    down = delta.copy()
    up[up < 0] = 0
    down[down > 0] = 0

    # 计算平均增长率
    avg_gain = up.rolling(window=period).mean()
    avg_loss = abs(down.rolling(window=period).mean())

    # 计算相对强弱指标（RSI）
    rs = avg_gain / avg_loss
    rsi = 100 - (100 / (1 + rs))

    return rsi

# 假设有一组价格数据，存储在一个DataFrame中的"Close"列中
data = pd.DataFrame({'Close': [10, 12, 15, 14, 13, 16, 18, 17, 19, 20]})

# 计算MACD指标
macd_dif, macd_signal, macd_hist = calculate_macd(data['Close'])

# 计算RSI指标
rsi = calculate_rsi(data['Close'])

# 打印结果
print("MACD DIF:", macd_dif)
print("MACD Signal:", macd_signal)
print("MACD Histogram:", macd_hist)
print("RSI:", rsi)