To The Moon

AI is not only about Nvidia anymore. One Tiger recently caught a big move in Micron and made over $112K from $Micron Technology(MU)$ and $Direxion Daily MU Bull 2X Shares(MUU)$. Congrats to @Y Chan for buying the dip in $Direxion Daily MU Bull 2X Shares(MUU)$ and turning it into USD 112,094 Congrats to @SamuChong for buying the dip in $Micron Technology(MU)$ and turning it into USD 11,093 So what happened with Micron? Micron makes memory chips. These chips are used in phones, PCs, servers, and now, more importantly, AI data centers. As companies build more AI servers, they

Chinese chip stocks are heating up again. On May 26, $SMIC(00981)$ jumped 5.7% One Tiger caught the move early and made HKD 200,000 from a bullish trade on SMIC Congrats to @Bernardcpy for buying the dip in $SMIC(00981)$ and turning it into HKD 205,495 Congrats to@ @Loyster for buying the dip in $SMIC(00981)$ and turning it into HKD 129,039 So why is SMIC moving? The simple answer: AI needs chips, and China wants more of homegrown chips. SMIC is China’s leading chip foundry. It does not design chips like $NVIDIA(N

$NVIDIA(NVDA)$ has been one of the biggest AI winners in the market. Some traders chased the move late. Some stayed on the sidelines. But one Tiger bought early, held through the volatility, and is now sitting on a 1046% gain. Congrats to @Kn2025 for buying the dip in NVIDIA and turning it into a 1046% return. Congrats to @Jacobtan for buying the dip in NVIDIA and turning it into 59,876 Congrats to @Adenphua for buying the dip in NVIDIA and turning it into 55,344 Why Did Nvidia Run So Hard? The simple answer: AI spending. Big Tech is still pouring money into AI infrastructure. Training large models, running AI apps, building data centers — all o

Chip stocks have pulled back over the past few days. Before that, AI stocks, memory chip names, and semiconductor equipment stocks had been on a strong run. The whole chip sector felt hot. But after a big rally, bigger swings are normal. When stocks go up fast, they can also drop fast. One Tiger trader bought the dip in $Direxion Daily Semiconductors Bull 3x Shares(SOXL)$ and made $100,000. 👏 Congrats to the @AhhHuat on a $100K winning trade in $Direxion Daily Semiconductors Bull 3x Shares(SOXL)$ So, what is SOXL? $Direxion Daily Semiconductors Bull 3x Shares(SOXL)$ is not a company. It is a 3x leveraged ETF

After chips, servers, and networking names rallied, another AI-related stock started going up: $Bloom Energy Corp(BE)$ 👏 @caesar2288 — $Bloom Energy Corp(BE)$ +119,448 So why is Bloom going up? The main reason is simple: the market is starting to see Bloom as an AI data center power stock. That shift became much more obvious after Bloom Energy announced an expanded strategic partnership with $Oracle(ORCL)$ . Oracle plans to procure up to 2.8 gigawatts of on-site fuel-cell capacity from Bloom, with the first 1.2 GW already contracted and under deployment. And that matters, because one of the biggest bottlenecks in

Lately, one of the hottest trades in the market hasn’t just been GPUs or AI chips — it’s memory. A lot of investors first looked at this move and thought it was just another AI sympathy trade. But the story is actually bigger than that. As AI evolves from simple chatbots into always-on agents that can remember context, call tools, read files, and keep working in the background, the market is starting to realize something important: AI doesn’t just need compute. It also needs storage. And a lot of it. Some Tigers were already in position: 👏 @pigskin — $Micron Technology(MU)$ +16,112 👏 @Leonerd — $Micron Te

Investing is exhausting—not just because you can lose money, but because you’re constantly second-guessing yourself: What should I buy? Should I sell? Should I switch strategies again? If you keep jumping around, emotions end up running your portfolio—today it’s inflation, tomorrow it’s rate cuts, next week it’s scary headlines. For most people, the simplest way to win long term is also the most boring: stick with the U.S. market and hold through the ups and downs. Some Tigers were already in position: 👏 @MedinaFamily — SPYM $16,871. The S&P 500 is basically a basket of the 500 biggest U.S. companies (Apple, Microsoft, Amazon… etc).Over time, it tends to go up because: U.S. companies keep growing profits Money keeps flowing into th

On February 24, the AI world got a real shock: Meta announced a multi-year deal with AMD, planning to roll out up to 6 gigawatts of AMD AI compute across its data centers over the next few years. The market loved it — AMD jumped more than 10% intraday and added almost $20 billion in market cap in one day. $Advanced Micro Devices(AMD)$ Some Tigers were already in position: 👏 @AMDidass — AMD stock +2,748 👏 @T2021B — AMD calls +5,679 A few weeks earlier, AMD had already printed a strong quarter: revenue up about 34% to ~$10.3B, beating expectations by roughly $600M. Data center sales were the star, up ~39%, with EPYC CPUs and Instinct GPUs dri

Gold’s been in the spotlight all year, but silver? That’s where things really got crazy. While many were watching gold break records, silver staged a violent comeback of its own — and some Tigers timed it perfectly: @等也是一种策略 如何等在哪里等 traded silver futures, up $410,000 @小强尼虎虎生威 traded silver options, up +335% @Cashflow Blazer traded silver options, up +90.98% @Shernice軒嬣 2000 traded silver options, up +90.98% Why Silver Exploded This wasn’t just a bounce. It was the classic playbook: extreme selloff → leveraged unwinds → sharp reversal. Silver and gold both suffered historic drawdo

When a stock is already up 200%+, the instinct is to “take profits and move on.” With Micron, that might be the exact mistake people made with Nvidia in early 2023 — right before the real leg of the rally. $Micron Technology(MU)$ Congrats to these Tigers for catching the dip:👏 @bluesea520 — bought the Micron bottom and is up $290,000👏 @wywy — bought the Micron bottom and is up $43,000Micron has surged because AI isn’t just a GPU story. It’s a memory story. Training and, even more importantly, inference at scale forces companies to store and move ridiculous amounts of data — parameters, activations, intermediate results, cached context. As mo