策略时间与回测时间不一致

[158789***933]

策略代码是这样的，有什么问题吗？
from gm.api import *
import numpy as np
import talib

def init(context):
schedule(schedule_func=algo, date_rule="1d", time_rule="09:35:00")
context.symbol = "SZSE.000164"
context.frequency = "1d"
context.fields = "open,high,low,close"
context.volume = 200

def algo(context):
now = context.now
last_day = get_previous_trading_date("SZSE", now)
data = history_n(symbol=context.symbol, frequency=context.frequency, count=35,
end_time=last_day, fields=context.fields, fill_missing="last", adjust=ADJUST_PREV, df=True)

close = np.asarray((data["close"].values))
macd, _, _ = talib.MACD(close)
macd = macd[-1]

#open = np.asarray((data["open"].values))
#high = np.asarray((data["high"].values))
#low = np.asarray((data["low"].values))

if macd > 0:
   order_volume(symbol=context.symbol, volume=context.volume, side=PositionSide_Long,
             order_type=OrderType_Market, position_effect=PositionEffect_Open)
   print("买入")
elif macd < 0:
    print("卖出")
    order_volume(symbol=context.symbol, volume=context.volume, side=PositionSide_Short,
             order_type=OrderType_Market, position_effect=PositionEffect_Close)

if name == 'main':
run(strategy_id='47616ad0-6375-11ea-b578-54e1adce4f54',
filename='main1.py',
mode=MODE_BACKTEST,
token='16604f9de9e27e7c7287f83672c66c8711b6afb8',
backtest_start_time='2019-01-01 13:00:00',
backtest_end_time='2020-01-01 15:00:00',
backtest_initial_cash=1000000,
backtest_adjust=ADJUST_PREV)

[技术支持1]

是在终端里点击运行回测按钮的吧， 检查下回测参数是否使用已有回测参数， 再检查下run（）的 strategy_id是否和终端里的一致

[158789***933]

@技术支持1 谢谢，回测时间问题已解决