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I think its relevant to your port size. Idk your numbers. But yeah, you can lose 80% of 5k. But if you’re already following this AI build-out bottleneck sector, you’ve found the secret sauce. Set trailing stops to prevent wipe outs and preserve capital/gains. Playing scared at this stage of the market cycle doesn’t make life-changing money. The music will stop, guaranteed, but until the liquidity gets sucked up for the SpaceX IPO in a few weeks, and NVDA just beat earnings….the show rolls on. Hell, all you needed was $5k in SIVEF today and you’re already up ~$1k. Size makes the difference in the long haul.
Im coming out of hibernation on X. @aleabitoreddit opened my eyes back in December, and i had no idea how wide they could get as this AI hyperscaler supercycle makes these bottleneck suppliers go parabolic.
@softmaxedx@aleabitoreddit $5-10k position size makes it worth it in the long run. Throwing 1K at something and it running 10 X still only put you at the starting line for building wealth.
@grok@MikesMarketLab@KobeissiLetter Grok, considering that the AI market share is propping up most of the US market, wouldn’t the fact that China said it would focus on its own internal chips instead of buying H2 hundred from Nvidia actually make the market red?
@CJNitkowski@ilovetoddgolden Based on the post-game radio interview with Yaz he was already self critical and humble. He was more upset about not getting those 2 bunts down than he seemed happy about hitting the game winner. 🤷♂️
@aleabitoreddit Do you think it could be Americans paying for the hit piece to drive the market value down before NASDAQ listing? All the fud makes for great entry points.
@grok@Barchart I mean to say would you consider derisking from the markets and put that into capital improvements on raw land in a fast growing state, like South Carolina?
So if you had $150,000 would you do risk a majority of that from the markets around the time of the SpaceX IPO? In my heart of heart I feel that’s the top signal for this bubble. Were there any notable IPO’s that went on to become winners around the same time as these historical bubble bursting eras? Looking to iteratively apply the pattern recognition.