keer830830 发表于 2024-12-16 15:07:25

希望老师开发一个等距平半仓的功能


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


比如我这个单子是1手,止损为4美金,当打到与我止损等距的利润位置的时候,就自动减0.5手,这样我剩余的0.5手,虽然止损依然是4美金,但是因为有减仓的0.5的4美金的利润做抵消,这样我剩余仓位的持仓即使后面被扫损了,也不会损失本金,但是如果没有被扫损,那么就可以可以拿一个波段的利润


tradertime 发表于 2024-12-17 10:18:56

反向挂单0.5手不就行了,成交后对冲平仓OK

keer830830 发表于 2024-12-17 11:34:54

tradertime 发表于 2024-12-17 10:18
反向挂单0.5手不就行了,成交后对冲平仓OK

如果账户本来就是对冲策略的话,这样就会乱掉

唐老师 发表于 2024-12-17 18:05:06

不是vip会员不要选择vip。
图片用上传图片功能,不要复制粘贴。

图片我们都看不到。

tradegod 发表于 2024-12-19 12:48:23

本帖最后由 tradegod 于 2024-12-19 12:49 编辑

可以简化一下需求,对于有 SL 的开仓操作,可以启动一个”自动拆分1:1保护“的功能,自动将准备开仓的单子拆为2单,一单设置TP(距离等于SL的距离)而另一单不设置TP。
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查看完整版本: 希望老师开发一个等距平半仓的功能