我是如何捕捉到20cm大长腿的?
我是如何捕捉到20cm大长腿的?今天干的全部是氢能源data:image/png;base64,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
怎么样才能事前捕捉到,是技术层面还是基本面分析? 昆哥A 发表于 2021-8-18 17:15
怎么样才能事前捕捉到,是技术层面还是基本面分析?
很奇怪,论坛无法发图,要么就提示回复超限
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