为什么使用开盘价的差别不使用的差别那么多
策略回测了1-2个月 2011 2018 2021-2022 大部分的大行情都没问题,最大浮亏9000多 。 但是测的时候没有勾选使用开盘价后面看论坛说使用开盘价回测的跟实盘更准但是使用了这个功能, 在一些行情里面就会爆非行情里面利润变小
我们跑的是5分钟的欧美盘 差别那么大吗
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
回测是基于1分钟的, 如果不用开盘价跟实盘差别大吗
数据精度问题,使用的数据越精细,得出的结果自然越贴近实盘。 ymk0577 发表于 2024-6-17 16:11
数据精度问题,使用的数据越精细,得出的结果自然越贴近实盘。
那如果不勾选使用开盘价数据是不是更加精细
neidiyeye 发表于 2024-6-18 11:20
那如果不勾选使用开盘价数据是不是更加精细
一般建议是EA回测起始界面 选择 每个即时价格,然后回测EA的EA具体功能设置界面打开EA的使用开盘价1分钟的功能,这样是最贴近的。
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