Quant X Tribe (Next Level)
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A living lab where investors journey through QUANT via IBOT → Ideation, Backtest, Optimize, Trade. We stand for: Risk before reward | Data before opinions | Tribe before self Disclaimer: Educational only, not financial advice.
Show more📈 Analytical overview of Telegram channel Quant X Tribe (Next Level)
Channel Quant X Tribe (Next Level) (@quantxnextlevel) in the English language segment is an active participant. Currently, the community unites 14 586 subscribers, ranking 8 029 in the Economy & Finance category and 200 in the Singapore region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 14 586 subscribers.
According to the latest data from 30 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -129 over the last 30 days and by 1 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 10.08%. Within the first 24 hours after publication, content typically collects 6.28% reactions from the total number of subscribers.
- Post reach: On average, each post receives 1 470 views. Within the first day, a publication typically gains 916 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 7.
- Thematic interests: Content is focused on key topics such as alpha, volatility, breakdown, tribe, portfolio.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“A living lab where investors journey through QUANT via IBOT → Ideation, Backtest, Optimize, Trade.
We stand for:
Risk before reward | Data before opinions | Tribe before self
Disclaimer: Educational only, not financial advice.”
Thanks to the high frequency of updates (latest data received on 31 October, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Economy & Finance category.
14 586
Subscribers
+124 hours
-247 days
-12930 days
Posts Archive
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+2Just finished a shoot with popular YouTube channel 怪咖 Outcasts today, featuring many celebrities and influencers learning about investing from us! Can you recognise them? 😄😄
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Any Starbucks lover here?
Do you know that the coffee giant that you love actually operates more like a bank 🏦?
Check out the video below to find out how 😃
https://youtu.be/1-OJX1rwnl8
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In addition to parallel processing, GPUs also offer high memory bandwidth and advanced floating-point arithmetic capabilities.
These features are essential for running large-scale simulations and data-intensive workloads that require significant computational power. 🤯🤯
Furthermore, the rise of deep learning and AI has led to an increased demand for GPUs in data centers.
Deep learning algorithms require large amounts of data to be processed in parallel, making GPUs an ideal solution for accelerating these workloads. GPUs can also be used for training neural networks and performing inferencing tasks, which are essential components of modern AI systems.
In the most earnings, Nvidia reported revenue growth of 11% YOY on the Data Center alone.
Being the leading manufacturer of GPUs, Nvidia will set to become more and more important with this rising AI trend. 😊😊
Is this too technical for you? Give me 👍 if your brain has space to learn more! 😄
Today’s sharing is going to be a little technical. Ready? 😉😉
Data centers use GPUs for a variety of purposes, including accelerating complex computations, processing large amounts of data, and running artificial intelligence (AI) and machine learning (ML) workloads.
GPUs can significantly speed up these tasks and reduce the time and resources required for data processing and analysis.
One of the key advantages of GPUs is their ability to perform parallel processing. This means that they can perform multiple tasks simultaneously, which is particularly useful for tasks such as image and video processing, scientific simulations, and financial modeling.
In contrast, traditional CPUs are optimized for single-threaded performance and are less efficient at handling parallel workloads.
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Nvidia specializes in the design and manufacturing of graphics processing units (GPUs). It is a separate chip on the computer's motherboard and is designed specifically to handle the rendering of graphics and video.
Discrete GPUs are used in a variety of applications, including gaming, video editing, and other multimedia-intensive tasks. They offer significantly more processing power and memory than integrated graphics solutions that are built into the CPU.
Although more expensive, this allows for more complex and realistic graphics, faster rendering times, and smoother gameplay.
Nvidia’s GPUs are widely used in gaming PCs, workstations, data centers, and more.
In our next post, we'll explore the connection between data centers, GPUs, and artificial intelligence. We'll delve into the reasons why GPUs are necessary for data centers and their role in AI.
Give me a ❤️ if you want to learn more!
I recently did a special sharing for my BOS students and guess what is one of the stocks we analysed together? Qualcomm!
When I asked Grace (a super hardworking lady who does her homework) why did she decide to look at Qualcomm, she talked about the rise of AI and how would it impact the company 😃
This year, the spotlight has been on artificial intelligence (AI) which has seemingly taken the world by storm, following the rapid rise in popularity of ChatGPT.
We have started to see its potential to revolutionize the way people interact with technology and access information. 🤯🤯
The rise of AI is likely to benefit a wide range of companies across various industries.
In my opinion, apart from Qualcomm, another company that will set to be benefiting from this trend will be Nvidia! 😎😎
Do you want me to share how Nvidia is deeply integrated with the rising AI trend?
Give me 👍 if you do!
