Author outlines a macro strategy to invest in AI energy needs via ETFs covering solar, nuclear, LNG, critical minerals, and semiconductors.
XCLN — LONG The author proposes buying XCLN to cover the solar, wind, and hydro index as part of a strategy to invest in AI energy needs. The thesis is based on macro trends and uses ETFs to track them, without individual stock picking.
i buy xcln to cover the solar wind hydro index
HURA — LONG The author proposes buying HURA to cover the nuclear index as part of a strategy to invest in AI energy needs. The thesis is based on macro trends and uses ETFs to track them, without individual stock picking.
i buy hura to cover the nuclear index
XEG — LONG The author proposes buying XEG to cover the LNG index as part of a strategy to invest in AI energy needs. The thesis is based on macro trends and uses ETFs to track them, without individual stock picking.
i buy xeg / zeo to cover lng
ZEO — LONG The author proposes buying ZEO to cover the LNG index as part of a strategy to invest in AI energy needs. The thesis is based on macro trends and uses ETFs to track them, without individual stock picking.
i buy xeg / zeo to cover lng
XETM — LONG The author proposes buying XETM to cover the critical minerals bottleneck as part of a strategy to invest in AI energy needs. The thesis is based on macro trends and uses ETFs to track them, without individual stock picking.
Then xetm to cover critical minerals bottle neck
XCHPS — LONG The author proposes buying XCHPS to cover the semiconductor bottleneck as part of a strategy to invest in AI energy needs. The thesis is based on macro trends and uses ETFs to track them, without individual stock picking.
Xchps to cover semiconductor bottle neck