BigBoss🇺🇸 @Yes_BigBoss
Technical analysis is an art, helps read tape/markets mind before the big move! My views are not financial advice! 👉https://t.co/rZOnsiLGHh USA Joined November 2022-
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$MSFT last 2 days drawdown vol is very less compared to the breakout vol. I consider this as a retest of the breakout zone and further consolidation. This C&H breakout will give us a measured move of 520. This move could be fast.
Finally, Microsoft enters the AI arena! They just announced two foundation models - MAI and Mai-Flash They used to have a great research lab... and early benchmarks look good 🚀🚀
$MSFT Markets are are just too negative on Microsoft. Today they released so many new comparable models running on MAI chips, device platform Solara, tools, unified app, unmetered AI deskops and quantum chip. It tanked 4 % This goes to 650.
@Jake__Wujastyk It just filled the fair value gap/ imbalance on Friday’s last 10 min jump! We go up from… in their keynote they addressed many concerns with home grown models!
@mustafasuleyman @satyanadella Great work and excellent keynote! Markets will give attention on time. Keep going!
Super excited to announce seven new world-class MAI models today. They represent what we consider a new era in AI designed to keep you in control and on the frontier. First is our text foundation model, MAI-Thinking-1, exceptionally strong on reasoning and SWE tasks. - It’s a 35B active parameter MoE with a 256K context window. Independent human raters on Surge prefer it for overall quality in blind side-by-sides versus Sonnet 4.6, and it’s achieved 97% on AIME 2025, the key measure of its general-purpose reasoning abilities. - It's at 53% on SWE Bench Pro, placing it right alongside Opus 4.6 on one of the toughest coding benchmarks. - And since we co-designed our models with our own silicon, MAI-Thinking-1 is optimized on our MAIA 200 chip. Benchmarking head-to-head against the GB200, we see 30% better performance per dollar as well as a 1.4x performance-per-watt gain when running our MAI models on the MAIA 200 end-to-end. Next is MAI-Image-2.5 and its Flash variant. Two super strong models now at #2 on the leaderboards, surpassing the score of Nano Banana 2 on image editing. Last for now is MAI-Code-1-Flash, our new inference efficient coding model, especially tuned for VS Code and GitHub Copilot CLI. - Code-1-Flash achieves 51% on SWE Bench Pro, despite having just 5B parameters, putting it closer to Haiku in size but cheaper in cost. All of this is the foundation for Microsoft Frontier Tuning. It lets you customize our models to create custom, company-specific agents that only you control. You can make our model, your model. Your data. Your agents. Your moat. Early adopters are already seeing a difference. When we tuned our models for McKinsey’s tasks, MAI delivered the highest win rate, outperforming GPT-5.5 on quality, while being 10x lower on cost. Also really excited to be collaborating with the amazing team at Mayo Clinic to jointly train a new frontier AI model for healthcare. Our announcements today mark another milestone on the road to humanist superintelligence. You can learn more and about our other new models in our latest blog: microsoft.ai/news/building-…
will be interesting to see where Microsoft goes with Project Solara. It has tried and failed to build platforms for many devices in the past - Band, Cortana devices, Windows Phone, the list goes on. This time it's using a version of Android, anticipating future AI agent hardware
The @MicrosoftAI model family expands in Microsoft Foundry with 7 new models. A complete multimodal stack: Text, image, transcription, and voice, ready for developers to build with under one set of governance and security controls. #MSBuild
Microsoft has been running its new reasoning model on its own Mai 200 chips and seen a 1.4x performance per watt improvement over Nvidia’s GB200 chips
$HOOD double inside day forming coiling and could explode higher this week
Good morning - is saasocalypse back? $MSFT $NOW $IGV $ORCL $QQQ
@WisemanCap Technicals were flashing pullback … gaps will be filled and new base is needed
$GOOGL bearish pin bar on monthly suggests it is overbought. Needs a new base for next move. I expect gap fills coming based in daily chart where it closed below the support.
$META set up invalidated. Staying away.
$META has been consolidating quitely and bullish divergence emerges. If everything rallies, this is ready to fill the earnings gap. Macd is curling up.
@jimcramer No… gap fill coming. Nvda and Microsoft has added another angle to AI - compute locally and dont worry ever about billing
A very good insight which IMO says we are near to a end of build out $msft $nvda $amd $googl $amzn
NVIDIA and Microsoft just put a trillion-parameter AI supercomputer on the enterprise desk, and it runs Windows! The new DGX Station for Windows is built on the GB300 Grace Blackwell Ultra Desktop Superchip, pairing a Blackwell Ultra GPU with a 72-core Grace CPU. It carries up
@Captionella People are not talking enough about it… buildout is coming to an end
@DrJStrategy What about less demand for data center is LLMs running locally can do the same job. Jensen called out - no more metered anxiety
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