· 方法论

通过追踪AI资本支出流向及电网需求来构建投资组合。

涉及标的:

中文翻译

我很受宠若惊 lol。但即使指数相对持平,我对表现也很满意! 很大一部分原因在于追踪资金流向。 例如:$GOOGL $1800亿资本支出 -> TPU项目 -> TPU物料清单(BOM) -> 8-12% $LITE -> 来自 $AXTI 的上游材料或来自 $IQE 的外延晶圆(epiwafers)。 或者仅仅是 DRAM/NAND 价格上涨 -> 简单地做多存储。 最近由于 Elon 和 OpenAI 推动电网扩张和更多容量,焦点转向电力/电网,因此做多 $XLU。 我想这只是运气好赶上了动量?

英文原文

I’m flattered lol. But I’m happy with the performance even with a relatively flat index! A large part of it is mapping where all the spend goes. Eg. $GOOGL $180B capex -> TPU program -> BOM of TPU -> 8-12% $LITE -> upstream materials from $AXTI or epiwafers from $IQE. Or just the DRAM/NAND price hikes -> as simple as going long on memory. Recently it’s been power/grid focused from Elon and OpenAI pushing for grid expansion and more capacity, so long $XLU. I guess it’s just getting lucky with momentum?

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