Title	Latest GPUS News Today: Hyperscale Data Inc. Stock Updates and Analysis
ID	30607019
External ID	bd0417e65e14ee55d12d502f886a03bf
Author	Christopher Parkmond
Published Date	Feb. 17, 2026, 7:17 p.m.
Summary	Hey everyone, let's talk about Hyperscale Data Inc. today, or GPUS as it's known on the stock market.…
Tags
URL	https://techannouncer.com/latest-gpus-news-today-hyperscale-data-inc-stock-updates-and-analysis
Sentiment	Negative: 0.05328 Neutral: 0.86810 Positive: 0.07862
Relevance	0.03556

Content ID	37837316
Key	9e636330-f971-4eb8-a5e7-e4a2e0916bae
Content	Hey everyone, let's talk about Hyperscale Data Inc. today, or GPUS as it's known on the stock market. There's been some interesting news lately, especially concerning their Bitcoin holdings and plans for the future. It can get a bit confusing with all the company names and different stock types, but we'll try to break down what's happening with their stock and what it might mean. We're also covering the latest gpus news today, as it relates to Hyperscale Data's operations and their place in the tech world. Key Takeaways Hyperscale Data's Bitcoin stash is worth about $41.3 million as of mid-February 2026, with another $46.3 million in cash on hand. The company plans to sell off its ACG subsidiary, aiming for a Q4 2026 completion, which will change its focus to just data centers and digital assets. Investors who hold the new Series F Preferred Stock can swap it for shares in the ACG business when the sale happens. The company's executive chairman pointed out that their cash and Bitcoin holdings are worth more than the company's total stock market value right now. Hyperscale Data runs data centers for AI and other tech needs through its Sentinum company, while ACG handles a variety of other businesses before the planned sale. Hyperscale Data Inc. Stock Updates Recent Financial Milestones Announced Hyperscale Data has hit a few interesting points lately. As of February 15, 2026, the company's Bitcoin stash, which includes coins from mining and open market buys, was valued at about $41.3 million. On top of that, they had roughly $46.3 million in cash and restricted cash sitting on the books for the week ending the same date. This combined total of cash and Bitcoin holdings was about 136.82% of the company's market capitalization based on stock prices from February 13, 2026. It's a pretty significant number, showing a lot of assets compared to what the market is valuing the company at right now. Market Capitalization vs. Asset Holdings It seems like there's a noticeable gap between what Hyperscale Data owns and what its stock price reflects. The company's executive chairman, Milton "Todd" Ault III, pointed out this "glaring disconnect." He mentioned that even with Bitcoin's price fluctuations, their cash and Bitcoin reserves are still higher than the company's market cap. This is largely due to their strategy of keeping a significant portion of their balance sheet in Bitcoin for the long haul. They're aiming to put all the cash set aside for their digital asset strategy into Bitcoin over time, often buying around 5% of that cash each week, though this can change based on market conditions. They suggest looking at their Bitcoin accumulation over several weeks to get a better picture of their dollar-cost-averaging approach. Strategic Bitcoin Treasury Approach Hyperscale Data is really leaning into Bitcoin as a core part of its treasury. As of February 15, 2026, their subsidiaries, Sentinum and Ault Capital Group (ACG), collectively held over 600 Bitcoins (600.5299, to be exact). Sentinum holds the bulk of this, with some mined and some bought on the market. ACG also holds a smaller amount, and they've been actively buying more. The company plans to keep investing its allocated cash into Bitcoin, using a strategy that averages out purchases over time rather than trying to time the market perfectly. This approach is meant to build a strong, long-term asset base for the company. Company Structure and Future Divestiture Overview of Sentinum and ACG Subsidiaries Hyperscale Data Inc. has two main branches under its roof: Sentinum and ACG. These aren't just names on a chart. Sentinum is the one running the company's large data center, mining digital assets, and renting out space to the growing AI industry. On the other side, ACG is all about finding and developing new businesses. ACG picks up undervalued companies from several industries—think everything from software and gaming to medical and hotel services. Here's what they've been up to: Acquiring businesses in sectors like automotive, industrial, and defense. Investing in AI software and social gaming platforms. Running a licensed lending arm that handles private credit and structured finance deals. Details of the ACG Divestiture Plan If you're a stockholder or just following the news, the upcoming ACG spin-off is a big story. Hyperscale Data plans to completely separate, or divest, ACG by late 2026. Here's how it's expected to work: Stockholders received Series F Preferred Stock in December 2024 (1 million shares distributed). When ACG is ready to go its own way, those who hold Series F and accept the exchange offer will trade it in for shares of ACG (both Class A and Class B Common Stock). Only those who agree to this exchange—without withdrawing—will own part of ACG post-divestiture. So, if you own Series F Preferred Stock, paying attention to exchange deadlines is key. Impact of Preferred Stock Exchange Offer This preferred stock exchange isn't just financial housekeeping—it affects who actually ends up with a piece of ACG. For some folks, missing out on the exchange could mean missing out on owning shares of ACG when it spins off. Here's what you need to know: Participation in the exchange is totally voluntary. If you don't exchange your Series F, you're out of luck for the ACG shares after the split. The timeline for the exchange and other rules will come from the company (so watch your mailboxes and official filings). There's some risk—timing, paperwork, and eligibility all matter. But for those looking to stay with ACG post-spin, following these steps will make all the difference. All official info and updates come through public filings and the company's website, so make sure you don't miss anything important. Hyperscale Data's Digital Asset Holdings When you look at Hyperscale Data's financial picture, a big part of it is their digital asset holdings, especially Bitcoin. It's not just a small side project; it's a core part of their strategy. The company has been pretty open about its commitment to building a significant Bitcoin treasury. This approach is meant to anchor the company's balance sheet, especially as they look towards future plans like the divestiture of ACG. Current Bitcoin Treasury Value As of February 15, 2026, Hyperscale Data's Bitcoin treasury was valued at approximately $41.3 million. This figure is based on the closing price of Bitcoin on that date. It's important to remember that this value can fluctuate quite a bit with the market. The company has stated its intention to deploy cash into Bitcoin purchases over time, using a dollar-cost-averaging strategy. They generally aim to invest at least 5% of allocated cash weekly, but this can change based on market conditions and other strategic decisions. For a clearer picture, it's often better to look at multi-week averages rather than daily swings. Breakdown of Bitcoin Reserves Hyperscale Data's Bitcoin reserves are held across its subsidiaries, Sentinum and Ault Capital Group (ACG). As of February 15, 2026, the total holdings amounted to 600.5299 Bitcoin. Here's how that breaks down: Sentinum: Held about 554.4002 Bitcoin. This includes 114.1661 Bitcoin generated from their own mining operations and another 440.2341 Bitcoin purchased on the open market. Held about 554.4002 Bitcoin. This includes 114.1661 Bitcoin generated from their own mining operations and another 440.2341 Bitcoin purchased on the open market. ACG: Held approximately 46.1711 Bitcoin. ACG has been actively acquiring Bitcoin, adding 4.6024 Bitcoin in the week ending February 15, 2026. This division shows how different parts of the company contribute to the overall digital asset strategy. You can find more details about their operations on Hyperscale Data's website. Cash and Restricted Cash Reserves Beyond their Bitcoin holdings, Hyperscale Data also maintains substantial cash reserves. As of the week ending February 15, 2026, the company reported approximately $46.3 million in cash and restricted cash on its balance sheet. When you combine this with their Bitcoin holdings, the total value of these assets was around $87.6 million. This figure represented about 136.82% of the company's market capitalization at the time, a point the executive chairman has highlighted as a significant disconnect. This strong liquidity is a key component of their financial stability and operational capacity. Analysis of GPUS Stock Performance It seems like there's a bit of a disconnect between what Hyperscale Data Inc. (GPUS) is holding on its books and how the market is valuing the company right now. The executive team has been pretty vocal about this, pointing out that their combined cash and Bitcoin holdings are actually more than the company's current market cap. As of February 15, 2026, they had about $41.3 million in Bitcoin and another $46.3 million in cash and restricted cash. That's a total of roughly $87.6 million, which, according to their calculations, was about 136.82% of their market capitalization on February 13, 2026. This significant difference suggests the market might not be fully appreciating the company's asset base. Executive Commentary on Market Disconnect Milton "Todd" Ault III, the Executive Chairman, has made it clear he believes there's a "glaring disconnect." He's emphasized that even with recent fluctuations in Bitcoin's price, their cash and Bitcoin reserves continue to grow faster than their market cap. This strategy of anchoring the company's balance sheet in Bitcoin is a long-term play, and they seem confident that eventually, the market will catch on. It's an interesting approach, especially given the volatility often associated with digital assets. Investor Guidance on Public Filings For anyone trying to get a clearer picture of Hyperscale Data's financial health and future plans, the company strongly recommends keeping up with their official public filings. They point investors towards their press releases and SEC filings, which can be found on their website or through the SEC's own portal. These documents are where you'll find the most up-to-date information, including details about their financial performance and any potential risks. It's always a good idea to check these sources directly rather than relying on second-hand information. You can find performance overviews, including trailing total returns compared to the S&P 500, on pages like this one. Understanding Forward-Looking Statements When you read through Hyperscale Data's announcements, you'll notice a lot of "forward-looking statements." These are basically statements about future events or conditions, often using words like "believes," "plans," "anticipates," or "future." It's important to remember that these statements are based on current beliefs and assumptions, which can change. They aren't guarantees of future results. The company is required to include these by law, but they also state that actual results could end up being quite different. They also mention that more detailed information about potential risks that could affect their business is available in their filings with the U.S. Securities and Exchange Commission. Operational Focus and Industry Support Data Center Operations and AI Ecosystems Hyperscale Data, through its subsidiary Sentinum, is really leaning into the data center game. They're not just running servers; they're building out infrastructure to support the growing needs of AI. Think of it as providing the digital real estate where all the complex AI computations can happen. They also offer colocation and hosting services, which basically means other companies can rent space and power in their data centers. This is a smart move because the demand for AI processing power is only going to keep climbing. The company sees this as a major growth area. Diversified Business Ventures of ACG Then there's ACG, which is kind of the wild card. It's a holding company that buys up businesses and technologies that seem a bit overlooked but have potential. Right now, ACG is involved in a bunch of different things. They've got an AI software platform, a social gaming setup, and they even do equipment rentals. Plus, they're involved in private credit and structured finance through a licensed lender. It's a pretty wide net they're casting. They're planning to sell off ACG later this year, which is a big deal for the company's future direction. Role in High-Performance Computing When Hyperscale Data eventually spins off ACG, the plan is to focus more on running data centers for high-performance computing. This ties back into their AI ambitions. High-performance computing, or HPC, is what powers a lot of the really demanding tasks, like scientific research, complex simulations, and, of course, advanced AI models. It requires a lot of specialized hardware and a lot of power. By concentrating on this, Hyperscale Data aims to be a key player in providing the backbone for these intensive computational needs. You can find more details about their public filings on the SEC website. Wrapping It Up So, that's the latest on Hyperscale Data Inc. They've got a pretty solid amount of Bitcoin and cash sitting there, more than their stock price seems to reflect right now, according to the company. They're planning to sell off a part of their business, ACG, later this year, which will leave them focused on data centers and holding digital assets. It's definitely an interesting situation to watch, especially with their plans to keep buying more Bitcoin over time. Keep an eye on their filings if you're curious about how it all plays out. Frequently Asked Questions What is Hyperscale Data Inc. and what do they do? Hyperscale Data Inc. is a company focused on artificial intelligence (AI) data centers. They also hold Bitcoin and have other business ventures through a subsidiary called ACG. Think of them as a tech company that mines digital money and builds important computer centers. How much Bitcoin does Hyperscale Data own? As of mid-February 2026, Hyperscale Data held about 600 Bitcoin. Some of this Bitcoin was made by mining, and some was bought from the market. This digital money is a big part of their company's assets. What is the company planning to do with its ACG business? Hyperscale Data plans to separate its ACG business, which is a collection of different companies. This separation is expected to happen near the end of 2026. After this, Hyperscale Data will focus more on its data centers and digital assets. Why does the company have a lot of Bitcoin and cash compared to its market value? The company's leaders believe their stock price doesn't fully reflect the value of their Bitcoin and cash. They see this as a good thing because it means they have strong financial backing. They plan to keep adding to their Bitcoin holdings over time. What are 'forward-looking statements' and why should I be careful about them? Forward-looking statements are guesses or plans about the future. Words like 'expect,' 'plan,' or 'anticipate' often signal these. While they give an idea of what the company hopes to achieve, they aren't guarantees. Real results could be different due to various risks and uncertainties. How does Hyperscale Data plan to manage its Bitcoin investments? Hyperscale Data aims to invest a portion of its cash into Bitcoin regularly. They often try to buy at least 5% of their target amount each week, but this can change based on market conditions. They use a strategy called dollar-cost averaging to buy over time.
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Publisher Name	Tech Announcer (#6493)
Publisher URL	techannouncer.com
Description	None
Trust Flow Score	11
Citation Flow Score	37

Data Source Name	NewsCatcher (#303)
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       "pl_content"."sentiment_status",
       "pl_content"."relevance_score",
       "pl_content"."votes_positive",
       "pl_content"."votes_negative",
       "pl_content"."is_processing_flag",
       "pl_content"."vector_embedding_dt",
       "pl_content"."vector_id",
       "pl_content"."vector_status",
       "pl_content"."data_source_id",
       "pl_content"."parent_content_id",
       "pl_content"."publisher_id"
  FROM "pl_content"
WHERE "pl_content"."id" = 30607019
LIMIT 21SELECT ••• FROM "pl_content" WHERE "pl_content"."id" = 30607019 LIMIT 21

4.17

Connection: default

Transaction status: Idle

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/whitenoise/middleware.py in __call__(124)
  return self.get_response(request)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_htmx/middleware.py in __call__(43)
  return self.get_response(request)

/mnt/disks/pennyloupe_disk/pennyloupe/app/core/views/app.py in ticker_content_detail(2348)
  content = Content.objects.get(id=content_id)

SELECT "pl_content_content"."created_dt",
       "pl_content_content"."updated_dt",
       "pl_content_content"."status_id",
       "pl_content_content"."id",
       "pl_content_content"."key",
       "pl_content_content"."content",
       "pl_content_content"."content_ref_url",
       "pl_content_content"."content_id"
  FROM "pl_content_content"
WHERE "pl_content_content"."content_id" = 30607019
ORDER BY "pl_content_content"."id" ASC
LIMIT 1SELECT ••• FROM "pl_content_content" WHERE "pl_content_content"."content_id" = 30607019 ORDER BY "pl_content_content"."id" ASC LIMIT 1

8.15

Connection: default

Transaction status: Idle

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/whitenoise/middleware.py in __call__(124)
  return self.get_response(request)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_htmx/middleware.py in __call__(43)
  return self.get_response(request)

/mnt/disks/pennyloupe_disk/pennyloupe/app/core/views/app.py in ticker_content_detail(2354)
  content_content = ContentContent.objects.filter(details=content).first()

SELECT "pl_content_publisher"."created_dt",
       "pl_content_publisher"."updated_dt",
       "pl_content_publisher"."status_id",
       "pl_content_publisher"."id",
       "pl_content_publisher"."name",
       "pl_content_publisher"."url",
       "pl_content_publisher"."domain",
       "pl_content_publisher"."description",
       "pl_content_publisher"."weight",
       "pl_content_publisher"."trust_flow_score",
       "pl_content_publisher"."citation_flow_score"
  FROM "pl_content_publisher"
WHERE "pl_content_publisher"."id" = 6493
LIMIT 21SELECT ••• FROM "pl_content_publisher" WHERE "pl_content_publisher"."id" = 6493 LIMIT 21

2.49

Connection: default

Transaction status: Idle

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/whitenoise/middleware.py in __call__(124)
  return self.get_response(request)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_htmx/middleware.py in __call__(43)
  return self.get_response(request)

/mnt/disks/pennyloupe_disk/pennyloupe/app/core/views/app.py in ticker_content_detail(2357)
  publisher = content.publisher

SELECT "pl_data_source"."created_dt",
       "pl_data_source"."updated_dt",
       "pl_data_source"."status_id",
       "pl_data_source"."id",
       "pl_data_source"."name",
       "pl_data_source"."type",
       "pl_data_source"."url",
       "pl_data_source"."description",
       "pl_data_source"."weight",
       "pl_data_source"."class_name",
       "pl_data_source"."class_params_json"
  FROM "pl_data_source"
WHERE "pl_data_source"."id" = 303
LIMIT 21SELECT ••• FROM "pl_data_source" WHERE "pl_data_source"."id" = 303 LIMIT 21

0.96

Connection: default

Transaction status: Idle

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/whitenoise/middleware.py in __call__(124)
  return self.get_response(request)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_htmx/middleware.py in __call__(43)
  return self.get_response(request)

/mnt/disks/pennyloupe_disk/pennyloupe/app/core/views/app.py in ticker_content_detail(2358)
  data_source = content.data_source

SELECT COUNT(*) AS "__count"
FROM "pl_content"
WHERE "pl_content"."parent_content_id" = 30607019SELECT COUNT(*) AS "__count" FROM "pl_content" WHERE "pl_content"."parent_content_id" = 30607019

1.21

Connection: default

Transaction status: Idle

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/whitenoise/middleware.py in __call__(124)
  return self.get_response(request)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_htmx/middleware.py in __call__(43)
  return self.get_response(request)

/mnt/disks/pennyloupe_disk/pennyloupe/app/core/views/app.py in ticker_content_detail(2370)
  return render(request, "ticker_content_detail.html", context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/shortcuts.py in render(25)
  content = loader.render_to_string(template_name, context, request, using=using)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/loader.py in render_to_string(62)
  return template.render(context, request)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/backends/django.py in render(107)
  return self.template.render(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in render(171)
  return self._render(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/test/utils.py in instrumented_test_render(114)
  return self.nodelist.render(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in render(1016)
  return SafeString("".join([node.render_annotated(context) for node in self]))

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in <listcomp>(1016)
  return SafeString("".join([node.render_annotated(context) for node in self]))

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in render_annotated(977)
  return self.render(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/loader_tags.py in render(159)
  return compiled_parent._render(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/test/utils.py in instrumented_test_render(114)
  return self.nodelist.render(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in render(1016)
  return SafeString("".join([node.render_annotated(context) for node in self]))

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in <listcomp>(1016)
  return SafeString("".join([node.render_annotated(context) for node in self]))

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in render_annotated(977)
  return self.render(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/loader_tags.py in render(65)
  result = block.nodelist.render(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in render(1016)
  return SafeString("".join([node.render_annotated(context) for node in self]))

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in <listcomp>(1016)
  return SafeString("".join([node.render_annotated(context) for node in self]))

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in render_annotated(977)
  return self.render(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/defaulttags.py in render(320)
  match = condition.eval(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/smartif.py in eval(61)
  return func(context, self.first, self.second)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/smartif.py in <lambda>(107)
  ">": infix(10, lambda context, x, y: x.eval(context) > y.eval(context)),

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/defaulttags.py in eval(886)
  return self.value.resolve(context, ignore_failures=True)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in resolve(722)
  obj = self.var.resolve(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in resolve(854)
  value = self._resolve_lookup(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in _resolve_lookup(925)
  current = current()

27	`<td><a href="{% url 'ticker_content_detail' ticker=ticker content_id=content_detail.content.parent.id %}">{{ content_detail.content.parent.title }}</a></td>`
28	`</tr>`
29	`{% endif %}`
30	`{% if content_detail.content.children.count > 0 %}`
31	`<tr>`
32	`<th>Children</th>`
33	`<td>`
34	`<ul>`

/mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/ticker_content_detail.html

Static files (720 found, 2 used)

Static file paths

None

Static file apps

grappelli
django.contrib.admin
django_htmx
app.core
django_extensions
debug_toolbar

Static files

css/pennyloupe.css: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/static/css/pennyloupe.css
img/penny_loupe_logo.png: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/static/img/penny_loupe_logo.png

django.contrib.staticfiles.finders.AppDirectoriesFinder (720 files)

Templates (6 rendered)

Template path

templates

Templates

ticker_content_detail.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/ticker_content_detail.html; Toggle context
{'False': False, 'None': None, 'True': True} {'DEFAULT_MESSAGE_LEVELS': {'DEBUG': 10, 'ERROR': 40, 'INFO': 20, 'SUCCESS': 25, 'WARNING': 30}, 'csrf_token': '<SimpleLazyObject: <function csrf.<locals>._get_val at ' '0x7fa939b29a80>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/GPUS/content/30607019'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7fa9396b4720>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7fa9396b4720>>'} {'content_detail': {'content': <Content: Latest GPUS News Today: Hyperscale Data Inc. Stock Updates and Analysis - Christopher Parkmond>, 'content_content': <ContentContent: Content ID: 37837316>, 'data_source': <DataSource: NewsCatcher>, 'publisher': <ContentPublisher: Tech Announcer>}, 'ticker': 'GPUS'}
base.html: /mnt/disks/pennyloupe_disk/pennyloupe/templates/base.html; Toggle context
{'False': False, 'None': None, 'True': True} {'DEFAULT_MESSAGE_LEVELS': {'DEBUG': 10, 'ERROR': 40, 'INFO': 20, 'SUCCESS': 25, 'WARNING': 30}, 'csrf_token': '<SimpleLazyObject: <function csrf.<locals>._get_val at ' '0x7fa939b29a80>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/GPUS/content/30607019'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7fa9396b4720>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7fa9396b4720>>'} {'content_detail': {'content': <Content: Latest GPUS News Today: Hyperscale Data Inc. Stock Updates and Analysis - Christopher Parkmond>, 'content_content': <ContentContent: Content ID: 37837316>, 'data_source': <DataSource: NewsCatcher>, 'publisher': <ContentPublisher: Tech Announcer>}, 'ticker': 'GPUS'}
components/leftnav.html: /mnt/disks/pennyloupe_disk/pennyloupe/templates/components/leftnav.html; Toggle context
{'False': False, 'None': None, 'True': True} {'DEFAULT_MESSAGE_LEVELS': {'DEBUG': 10, 'ERROR': 40, 'INFO': 20, 'SUCCESS': 25, 'WARNING': 30}, 'csrf_token': '<SimpleLazyObject: <function csrf.<locals>._get_val at ' '0x7fa939b29a80>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/GPUS/content/30607019'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7fa9396b4720>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7fa9396b4720>>'} {'content_detail': {'content': <Content: Latest GPUS News Today: Hyperscale Data Inc. Stock Updates and Analysis - Christopher Parkmond>, 'content_content': <ContentContent: Content ID: 37837316>, 'data_source': <DataSource: NewsCatcher>, 'publisher': <ContentPublisher: Tech Announcer>}, 'ticker': 'GPUS'} {'block': <Block Node: leftnav. Contents: [<TextNode: '\n <div'>, <IncludeNode: template=<FilterExpression '"components/leftnav.html"'>>, <TextNode: '\n </di'>]>}
components/header.html: /mnt/disks/pennyloupe_disk/pennyloupe/templates/components/header.html; Toggle context
{'False': False, 'None': None, 'True': True} {'DEFAULT_MESSAGE_LEVELS': {'DEBUG': 10, 'ERROR': 40, 'INFO': 20, 'SUCCESS': 25, 'WARNING': 30}, 'csrf_token': '<SimpleLazyObject: <function csrf.<locals>._get_val at ' '0x7fa939b29a80>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/GPUS/content/30607019'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7fa9396b4720>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7fa9396b4720>>'} {'content_detail': {'content': <Content: Latest GPUS News Today: Hyperscale Data Inc. Stock Updates and Analysis - Christopher Parkmond>, 'content_content': <ContentContent: Content ID: 37837316>, 'data_source': <DataSource: NewsCatcher>, 'publisher': <ContentPublisher: Tech Announcer>}, 'ticker': 'GPUS'} {'block': <Block Node: header. Contents: [<TextNode: '\n\n '>, <IncludeNode: template=<FilterExpression '"components/header.html"'>>, <TextNode: '\n\n '>]>}
components/ticker_subnav.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/components/ticker_subnav.html; Toggle context
{'False': False, 'None': None, 'True': True} {'DEFAULT_MESSAGE_LEVELS': {'DEBUG': 10, 'ERROR': 40, 'INFO': 20, 'SUCCESS': 25, 'WARNING': 30}, 'csrf_token': '<SimpleLazyObject: <function csrf.<locals>._get_val at ' '0x7fa939b29a80>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/GPUS/content/30607019'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7fa9396b4720>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7fa9396b4720>>'} {'content_detail': {'content': <Content: Latest GPUS News Today: Hyperscale Data Inc. Stock Updates and Analysis - Christopher Parkmond>, 'content_content': <ContentContent: Content ID: 37837316>, 'data_source': <DataSource: NewsCatcher>, 'publisher': <ContentPublisher: Tech Announcer>}, 'ticker': 'GPUS'} {'block': <Block Node: content. Contents: [<TextNode: '\n\n <div class="uk-flex'>, <IncludeNode: template=<FilterExpression '"components/ticker_subnav.html"'>>, <TextNode: '\n <!-- /SUB NAV--'>, <Variable Node: content_detail.content.title>, <TextNode: '</td>\n '>, <IfNode>, <TextNode: '\n '>, <IfNode>, <TextNode: '\n '>, <Variable Node: content_detail.content.id>, <TextNode: '</td>\n '>, <Variable Node: content_detail.content.external_id>, <TextNode: '</td>\n '>, <Variable Node: content_detail.content.author>, <TextNode: '</td>\n '>, <Variable Node: content_detail.content.publish_dt>, <TextNode: '</td>\n '>, <Variable Node: content_detail.content.summary>, <TextNode: '</td>\n '>, <Variable Node: content_detail.content.tags>, <TextNode: '</td>\n '>, <IfNode>, <TextNode: '\n '>, <Variable Node: content_detail.content.sentiment_negative>, <TextNode: '   \n '>, <Variable Node: content_detail.content.sentiment_neutral>, <TextNode: '   \n '>, <Variable Node: content_detail.content.sentiment_positive>, <TextNode: '<br/>\n '>, <django.template.defaulttags.WidthRatioNode object at 0x7fa939f7cfd0>, <TextNode: '%;"></div>\n '>, <Variable Node: content_detail.content.sentiment_neutral>, <TextNode: '" style="width:'>, <django.template.defaulttags.WidthRatioNode object at 0x7fa939f552d0>, <TextNode: '%;"></div>\n '>, <Variable Node: content_detail.content.sentiment_positive>, <TextNode: '" style="width:'>, <django.template.defaulttags.WidthRatioNode object at 0x7fa939f559d0>, <TextNode: '%;"></div>\n '>, <Variable Node: content_detail.content.relevance_score>, <TextNode: '</td>\n '>, <IfNode>, <TextNode: '\n '>, <IfNode>, <TextNode: '\n <li clas'>, <Variable Node: content_detail.data_source.name>, <TextNode: '\n '>, <Variable Node: content_detail.data_source.id>, <TextNode: ')\n '>, <Variable Node: content_detail.data_source.type>, <TextNode: '</td>\n '>, <Variable Node: content_detail.data_source.url>, <TextNode: '" target="_blank">'>, <Variable Node: content_detail.data_source.url>, <TextNode: '</a></td>\n '>, <Variable Node: content_detail.data_source.description>, <TextNode: '</td>\n '>, <Variable Node: content_detail.data_source.weight>, <TextNode: '</td>\n '>]>} {'ticker': 'GPUS'}
components/footer.html: /mnt/disks/pennyloupe_disk/pennyloupe/templates/components/footer.html; Toggle context
{'False': False, 'None': None, 'True': True} {'DEFAULT_MESSAGE_LEVELS': {'DEBUG': 10, 'ERROR': 40, 'INFO': 20, 'SUCCESS': 25, 'WARNING': 30}, 'csrf_token': '<SimpleLazyObject: <function csrf.<locals>._get_val at ' '0x7fa939b29a80>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/GPUS/content/30607019'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7fa9396b4720>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7fa9396b4720>>'} {'content_detail': {'content': <Content: Latest GPUS News Today: Hyperscale Data Inc. Stock Updates and Analysis - Christopher Parkmond>, 'content_content': <ContentContent: Content ID: 37837316>, 'data_source': <DataSource: NewsCatcher>, 'publisher': <ContentPublisher: Tech Announcer>}, 'ticker': 'GPUS'} {'block': <Block Node: footer. Contents: [<TextNode: '\n '>, <IncludeNode: template=<FilterExpression '"components/footer.html"'>>, <TextNode: '\n '>]>}

Context processors

django.template.context_processors.csrf: Toggle context
{'csrf_token': <SimpleLazyObject: <function csrf.<locals>._get_val at 0x7fa939b29a80>>}
django.template.context_processors.debug: Toggle context
{}
django.template.context_processors.request: Toggle context
{'request': <WSGIRequest: GET '/ticker/GPUS/content/30607019'>}
django.contrib.auth.context_processors.auth: Toggle context
{'user': <SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7fa9396b4720>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7fa9396b4720>>)}
django.contrib.messages.context_processors.messages: Toggle context
{'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/GPUS/content/30607019'>>, 'DEFAULT_MESSAGE_LEVELS': {'DEBUG': 10, 'INFO': 20, 'SUCCESS': 25, 'WARNING': 30, 'ERROR': 40}}

Cache calls from 1 backend

Summary

Total calls	Total time	Cache hits	Cache misses
0	0 ms	0	0

Commands

add	get	set	get_or_set	touch	delete	clear	get_many	set_many	delete_many	has_key	incr	decr	incr_version	decr_version
0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

Signals

Signal	Receivers
class_prepared
connection_created	register_type_handlers
got_request_exception
m2m_changed
post_delete
post_init
post_migrate	create_permissions, create_contenttypes
post_save	create_initial_trade_position
pre_delete
pre_init
pre_migrate	inject_rename_contenttypes_operations
pre_save
request_finished	close_old_connections, close_caches, reset_urlconf
request_started	reset_queries, close_old_connections
setting_changed	reset_cache, clear_cache_handlers, update_installed_apps, update_connections_time_zone, clear_routers_cache, reset_template_engines, storages_changed, clear_serializers_cache, language_changed, localize_settings_changed, complex_setting_changed, root_urlconf_changed, static_storage_changed, static_finders_changed, form_renderer_changed, auth_password_validators_changed, user_model_swapped, update_toolbar_config, reset_hashers, Options.setting_changed, update_level_tags, uninstall_if_needed, clear_caches, StaticFilesStorage._clear_cached_properties, FileSystemStorage._clear_cached_properties, FileSystemStorage._clear_cached_properties, FileSystemStorage._clear_cached_properties, FileSystemStorage._clear_cached_properties, FileSystemStorage._clear_cached_properties, FileSystemStorage._clear_cached_properties

Path	Location
.DS_Store	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/.DS_Store
grappelli/.DS_Store	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/.DS_Store
grappelli/js/grappelli.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/grappelli.js
grappelli/js/jquery.grp_related_m2m.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_related_m2m.js
grappelli/js/jquery.grp_autocomplete_fk.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_autocomplete_fk.js
grappelli/js/jquery.grp_autocomplete_generic.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_autocomplete_generic.js
grappelli/js/jquery.grp_timepicker.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_timepicker.js
grappelli/js/jquery.grp_collapsible_group.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_collapsible_group.js
grappelli/js/jquery.grp_related_generic.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_related_generic.js
grappelli/js/jquery.grp_related_fk.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_related_fk.js
grappelli/js/jquery.grp_collapsible.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_collapsible.js
grappelli/js/grappelli.min.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/grappelli.min.js
grappelli/js/jquery.grp_autocomplete_m2m.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_autocomplete_m2m.js
grappelli/js/jquery.grp_inline.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_inline.js
grappelli/images/spritesheet-1694777276.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/spritesheet-1694777276.png
grappelli/images/backgrounds/loading-small.gif	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/backgrounds/loading-small.gif
grappelli/images/backgrounds/changelist-results.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/backgrounds/changelist-results.png
grappelli/images/backgrounds/ui-sortable-placeholder.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/backgrounds/ui-sortable-placeholder.png
grappelli/images/backgrounds/nav-grabber.gif	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/backgrounds/nav-grabber.gif
grappelli/images/backgrounds/messagelist.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/backgrounds/messagelist.png
grappelli/images/icons/ui-datepicker-next.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/ui-datepicker-next.png
grappelli/images/icons/link-external-small_hover.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/link-external-small_hover.png
grappelli/images/icons/tools-arrow-up-handler_hover.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/tools-arrow-up-handler_hover.png
grappelli/images/icons/date-hierarchy-back.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/date-hierarchy-back.png
grappelli/images/icons/tools-delete-handler-predelete.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/tools-delete-handler-predelete.png
grappelli/images/icons/breadcrumbs-rtl.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/breadcrumbs-rtl.png
grappelli/images/icons/datepicker_hover.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/datepicker_hover.png
grappelli/images/icons/tools-trash-handler_hover.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/tools-trash-handler_hover.png
grappelli/images/icons/selector-add-m2m-vertical_hover.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/selector-add-m2m-vertical_hover.png
grappelli/images/icons/tools-related-remove-handler-small_hover.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/tools-related-remove-handler-small_hover.png
grappelli/images/icons/sorted-descending.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/sorted-descending.png
grappelli/images/icons/breadcrumbs_hover.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/breadcrumbs_hover.png
grappelli/images/icons/tools-viewsite-link_hover.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/tools-viewsite-link_hover.png
grappelli/images/icons/object-tools-add-link.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/object-tools-add-link.png
grappelli/images/icons/tools-related-edit-handler-small-disabled.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/tools-related-edit-handler-small-disabled.png
grappelli/images/icons/tools-related-remove-handler-small-disabled.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/tools-related-remove-handler-small-disabled.png
grappelli/images/icons/sorted-ascending.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/sorted-ascending.png
grappelli/images/icons/link-internal-rtl-small_hover.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/link-internal-rtl-small_hover.png
grappelli/images/icons/pulldown-handler_selected.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/pulldown-handler_selected.png
grappelli/images/icons/tools-delete-handler_hover.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/tools-delete-handler_hover.png

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