用python写一个用backtrader库的RSI均线量化回测，数据从tushare获取

好的，以下是一个简单的用backtrader库的RSI均线量化回测，数据从tushare获取的Python代码。请确保你已经安装了backtrader和tushare库。

import backtrader as bt
import tushare as ts

class RSI_Moving_Average(bt.Strategy):
    params = (('rsi_period', 14), ('ma_period', 30), ('printlog', False))

    def log(self, txt, dt=None, doprint=False):
        if self.params.printlog or doprint:
            dt = dt or self.datas[0].datetime.date(0)
            print('%s, %s' % (dt.isoformat(), txt))

    def __init__(self):
        self.rsi = bt.indicators.RSI_SMA(self.data.close, period=self.params.rsi_period)
        self.sma = bt.indicators.SimpleMovingAverage(self.data.close, period=self.params.ma_period)

    def next(self):
        if not self.position:
            if self.rsi < 30:
                self.buy()
        else:
            if self.rsi > 70:
                self.sell()

    def notify_order(self, order):
        if order.status in [order.Submitted, order.Accepted]:
            return

        if order.status in [order.Completed]:
            if order.isbuy():
                self.log('BUY EXECUTED, Price: %.2f, Cost: %.2f, Comm %.2f' %
                         (order.executed.price, order.executed.value, order.executed.comm))
            else:
                self.log('SELL EXECUTED, Price: %.2f, Cost: %.2f, Comm %.2f' %
                         (order.executed.price, order.executed.value, order.executed.comm))

        elif order.status in [order.Canceled, order.Margin, order.Rejected]:
            self.log('Order Canceled/Margin/Rejected')

    def notify_trade(self, trade):
        if not trade.isclosed:
            return

        self.log('OPERATION PROFIT, GROSS %.2f, NET %.2f' % (trade.pnl, trade.pnlcomm))

if __name__ == '__main__':
    cerebro = bt.Cerebro()

    # 获取数据
    data = ts.get_k_data('000001', start='2010-01-01', end='2021-01-01')
    data = bt.feeds.PandasData(dataname=data)
    cerebro.adddata(data)

    # 添加策略
    cerebro.addstrategy(RSI_Moving_Average)

    # 设定初始资金和手续费
    cerebro.broker.setcash(100000.0)
    cerebro.broker.setcommission(commission=0.002)

    # 运行回测
    print('Starting Portfolio Value: %.2f' % cerebro.broker.getvalue())
    cerebro.run()
    print('Final Portfolio Value: %.2f' % cerebro.broker.getvalue())

这个策略是基于RSI和移动平均线的交叉进行交易的。当RSI低于30时，策略会买入股票，当RSI高于70时，策略会卖出股票。回测数据来自于tushare的历史数据，回测结果将会输出到控制台，包括每次交易的成本和收益。