AMD
Advanced Micro Devices
stock NASDAQ

AMD

AMD All My Dollars (gone)

AMD HELLO?

I have been following this subreddit and your posts for around a year and I genuinely appreciate your analysis and insight. However, I do think you care too much about the technicals which honestly can be thrown out the window sometimes especially in this crazy AI buildout. Just in March of this year when AMD went all the way down to $190 I bought some more but the sentiment was horrible and the technicals were trash and then it rocketed up from there. I tend to think this is a similar situation. Just consolidation before another breakout.

Good morning, SqueezeFinders!
Yesterday's price action on the $QQQ tech index was relatively insignificant after a close of 720.87 (-0.3%) left us still very much in the bullish-leaning directional sentiment region of the medium-term chart. Until we risk retesting the 700 psychological level, we can remain optimistic about market conditions for squeeze candidates. If we can reclaim 728.6 area, we are likely looking at a resumption of short-term momentum. The main directional sentiment determinants today are a mix of the below-detailed economic data releases, and a few large earnings reports ($SMCI and $CRWV in AH). This market is very dynamic and has been unpredictable as far as risk-tolerance goes, as one day we're running, and the next we're crashing. Stay tuned for what's squeezy. Regardless of broader market sentiment, you can always locate relative strength by checking SqueezeRadar to track irregularities in our data, and find winners you may not have spotted before without our scanners.
🥇 Gold: \~$4,400/oz (+0.3%)
🥈 Silver: \~$66/oz (+0.3%)
🪙 Bitcoin: \~$64.0k/coin (-1.0%)
🛢️ Oil: \~$79.50/barrel (+0.5%)
Today's economic data releases are:
🇺🇸 ADP Employment Change Weekly @ 8:15AM ET
🇺🇸 Existing Home Sales (Jul) @ 10:00AM ET
🇺🇸 EIA Short-Term Energy Outlook @ 12:00PM ET
🇺🇸 3-Year Note Auction @ 1:00PM ET
🇺🇸 API Weekly Crude Oil Stock @ 4:30PM ET
📙Breakdown point: BELOW this price, the move will lose momentum significantly in the short-term, as shorts will gain confidence encouraging them to short more. Reducing probability of a squeeze without a catalyst.
📙Breakout point: ABOVE this price, the move will gain momentum significantly in the short-term, as shorts losses will increase pressuring them to cover. Increasing the probability of a squeeze occurring, especially if with a catalyst.
4. $RIOT
Squeezability Score: 36%
Juice Target: 38.9
Confidence: 🍊 🍊
Price: 19.40 (-5.46%) / 22.48 (+\~17% in AH on ER)
Breakdown point: 20.0
Breakout point: 25.2
Mentions (30D): 0 🆕
Event/Condition: Q2 revenue of $174 million beating estimates with data center and engineering growth offsetting softer bitcoin mining results while hash rate expanded and power optimization generated significant credits + landmark 20-year 191-megawatt data center lease with a leading frontier AI lab expected to generate approximately $9.1 billion in contracted revenue with extension options potentially reaching $16 billion + completed initial capacity delivery to AMD and advanced vertical integration supporting faster large-scale data center build-outs + Recent price target 🎯 of $25 from Cantor Fitzgerald + Recent price target 🎯 of $28 from H.C. Wainwright + Recent price target 🎯 of $22 from B. Riley
5. $FRMI
Squeezability Score: 36%
Juice Target: 14.0
Confidence: 🍊
Price: 5.88 (-4.85%) / 7.02 (+\~19.39% in AH after PR)
Breakdown point: 6.0
Breakout point: 10.2
Mentions (30D): 0 🆕
Event/Condition: First binding customer lease at Project Matador campus with TensorWave for a 222-megawatt turnkey data center expected to generate about $6.5 billion in contracted revenue over 15 years with expansion rights potentially exceeding 650 megawatts + continued construction progress with Siemens turbines on site over $1.5 billion invested and 6 gigawatts permitted toward the larger 17-gigawatt AI-focused campus + ongoing discussions with additional hyperscale customers positioning the site for phased deliveries beginning in the second half of 2027 + Recent price target 🎯 of $17 from consensus analysts + Recent price target 🎯 of $11 from Mizuho + Recent price target 🎯 of $20 from Needham
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Will AMD go to 500+ range anytime soon ?

Technical Analysis for AMD 8/11-----Pre-Market

I'm more curious about how much AMD can ship for revenue in Q4.
They have said they are shipping to Meta, Open AI, Oracle, and Microsoft starting in second half.
So what does that mean? Surely means at least 0.5 GW in Q4. And if 1 GW is about $15 billion, then shouldn't that be an additional $7.5b or so above Q2 earnings plus higher CPU server sales and embedded?
The current average analyst estimate for Q4 is around $16.1b.

Hey guys,
A bit new to programming, but not so much to trading. So far, I have created my first momentum-based trading bot, and from here I am transitioning into programming my own backtesting engine. I have done most of the work from scratch, but here and there I will use AI to discuss implementation options, write monotonous code, or help out when I have no idea where to start and am just staring at a screen mindlessly.
Here are some details on my trading bot:
* I am using moomoo's API through Python.
* I intraday trade a basket of stocks that are "hot". My strategy scans for volatility and enters on continuations.
* I store trades in a dictionary with the ticker name as a key and a list as the value (e.g., `orders["US.AAPL"] = [trade1, trade2, trade3]`). Each trade element contains info like child orders, shares, decay, etc.
I log trade info as well. Here is an example trade that the bot took so you can see where in the market it executes:
Plaintext
US.AMD: pending entry: 473.68
Ask: 473.24, Bid: 473.19, Spread: 0.05
US.AMD: SELL order filled at: 473.28, STOP LOSS: 473.96, Take Profit: 472.6
Shares: 31.0
Time: 2026-08-10 09:34:15

US.AMD: take profit order filled at: 472.5
Shares: 31.0
Time: 2026-08-10 09:34:21
PnL: +$24.18

Currently, I am just playing with ideas. I do not expect profitability from any of my strategies, but I have a lot of things I want to try. This is my first Python project as well, and it's been a lot of fun.
I have some questions for the community:
1. **Do you think it is worth it to learn C++ for speed?** I know location is the bigger concern, but I can't help but feel like I might miss out on some fills.
2. **How do you deal with rate limits?** As you can see, my bot is very fast and the API has rate-limited me before, which has me holding onto positions for extra time. (I was thinking maybe I could source shares from another brokerage).
3. **Would you say tick data is required to get okay backtests**, or is minute resolution good enough?
4. **I don't know what I need to know.** What concepts should a noob learn about?

That wasn't used in the assumption , that was used as context ..
the assumptions are built using the "well over 100% " management phrase
Anthropic's 2GW is not cross generation , but only for 455X
with AMD's annual cadence its safe to assume anthropic is not going to purchase mi455X when mi500 is widely available
to balance that estimate I used the bare minimum 1 GW deployment for Meta and OpenAI as a balancing method
we can safely assume 1.5 GW for each

It has SRAM, so scaling may not be ideal on smaller nodes. Also I think that AMD's IF would be used, not photonics.

AMD needs to be up at least 3% today. Feeling quite optimistic tbh

ich bin eher Short von der Bewertung her.
Ich bin zu faul selber was zusammenzustellen oder den Pfosten bis in die letzte Fußnote zu prüfen. Also mit Vorsicht zu genießen.
Bull Case:
• FY26 core revenue guidance: $855-$865M
• Core revenue growing 92% YoY
• $20B+ OpenAI contract
• Partnerships with AWS and AMD
• $24B+ backlog
• Wafer-scale architecture delivering exceptional inference speed
• One of the few real alternatives to NVIDIA for AI inference
Margin Profile:
• Q1 core gross margin: 46.5%
• Q2 core gross-margin guidance: 36-38%
• Full-year core operating margin: -28% to -32%
• Renting back capacity to meet demand is pressuring near-term margins
Concentration Risk:
• Roughly 80% of backlog is tied to OpenAI
• OpenAI is simultaneously the biggest opportunity and the biggest risk
Dilution Overhang:
• Up to 33.4M conditional OpenAI warrant shares
• Prospectus also discloses approximately 21.5M vested employee options
• Separate from the lockup, these can increase the share count over time
Lockup Overhang:
• Only 34.5M shares were sold in the IPO
• Up to 171.1M shares are covered by the release provisions
• Approximately 15% had already been released through earlier IPO and Q1 related provisions
• August 14: 16.7%, or approximately 28.6M potential shares
• August 19: 6.7%, or approximately 11.5M shares
• September 2 and 16: another 6.7% each
• September 30, October 14 and October 28: another 8.9% each
• The upcoming August-October tranches total 63.5%
• Combined with the earlier 15%, roughly 78.5% will have been released before the final lockup date
• Only about 21.5% remains for the final release after Q3 earnings or by November 9, 2026 which is approximately 37M shares
• The final SEC prospectus also estimates that up to 1.2M RSU-tax shares may be sold around August 18
It’s going to be a steady drip of potential supply every two weeks through October, making it harder for the market to absorb.
Until the overhang clears, each rally risks becoming liquidity for newly unlocked holders selling into strength.
Notes:
• Near-term gross-margin compression
• Huge infrastructure commitments
• NVIDIA’s CUDA ecosystem remains a major competitive risk
• Early investors will finally be able to monetize years of gains
• Extremely expensive at roughly 73× guided core revenue
Cerebras has world-class technology. The stock however carries an extreme valuation and a real supply overhang until fall making the near-term supply/demand setup far less attractive.
Earnings August 12. First major unlock is on August 14th (Friday).

Nvidia just declare war against hyperscalers and their Asics. I hope AMD could help then with MI455 and beyond. Have the better TCO in the market helps us with that.

I'm getting only $65B for DC revenue in 2027, $15B? in Client, $5B in Embedded. That's $85B.
In any case, if AMD found $50B for a neocloud backed by Blackstone or Goldman Sachs, our stock will shoot straight up.
That's the beauty of A) not having much priced, and B) especially relative to Nvidia.

I think it is only for Nvidia . But AMD could do the same thing. But is in no hurry to do it yet. They will do 100 billions plus in revenue in 2027. I am sure they will do it probably not at that scale.

If riot is AMD exclusive is this the energy and facility part of the already existing anthropic deal or is this a new one on top?

AMD Invests $150 Million In Nutanix
AMD has agreed to purchase $150 million of Nutanix common stock at $36.26 per share.
NTNX - $64.46
Equity Investment Underscores Enterprise AI Push
Under the multi-year pact, the companies will co-develop an open, full-stack "agentic AI" infrastructure platform built on AMD EPYC CPUs, Instinct GPUs and ROCm and Enterprise AI software, tightly integrated with the Nutanix Cloud and Kubernetes platforms.
The first jointly engineered platform is slated to reach the market beginning in late 2026, targeting enterprise and service-provider customers that want scalable, production-ready AI infrastructure across data center, hybrid and edge environments.
\----------
Run, Modernize, and Innovate on One Platform
The Nutanix platform delivers secure, resilient, and adaptive infrastructure for the hybrid cloud. It runs traditional and modern applications with their data across public and private clouds, the edge, and diverse compute, storage, and network environments.

I wouldn''t be surprised if he had puts for NVDA and AMD in his 401k as leaps lol

> and the Anthropic 2 GW.
You are assuming 2027 2GW for Anthropic. Why is that?
> Anthropic today announced a strategic partnership to deploy up to 2 gigawatts of AMD Instinct MI450 Series GPUs in AMD Helios rack-scale solutions, with deployment of the first gigawatt beginning in the first half of 2027.
This just mentions that 1st HW deployment will start in first half. It doesn't say it'll fully deploy 2GW in 2027.
I'm also modeling for slightly above 4GW deployment in 2027, but it's more like 2.5-3 GW for OpenAi+Meta.