Title	Hyperscale Data Bitcoin Holdings Surge to 675 BTC: NYSE Firm Targets $100 Million Treasury
ID	31224711
External ID	634f4d44021f3ce9919cf32ab6d0d033
Author	Sofiya
Published Date	April 28, 2026, 7:45 a.m.
Summary	Hyperscale Data (GPUS), a company listed on the New York Stock Exchange, now holds 675.35 Bitcoin (BTC). This digital asset treasury is valued at approximately $53.1 million as of April 26. The firm…
Tags
URL	https://bitcoinworld.co.in/hyperscale-data-bitcoin-holdings
Sentiment	Negative: 0.00966 Neutral: 0.53325 Positive: 0.45709
Relevance	0.04622

Content ID	38216641
Key	aee4f610-2bbe-4164-aee9-c129ba984acc
Content	Hyperscale Data (GPUS), a company listed on the New York Stock Exchange, now holds 675.35 Bitcoin (BTC). This digital asset treasury is valued at approximately $53.1 million as of April 26. The firm increased its Bitcoin stash by over 150 BTC since January, when it reported 524 BTC. Hyperscale Data aims to expand its Bitcoin holdings to $100 million. This move places the company among a growing list of public corporations adopting Bitcoin as a strategic reserve asset. Hyperscale Data Bitcoin Holdings: A Strategic Accumulation Hyperscale Data, formerly known as a GPU-as-a-service provider, has aggressively pursued a Bitcoin treasury strategy. The company disclosed its latest Bitcoin balance in a recent regulatory filing. This represents a 28.8% increase from the 524 BTC held at the start of 2025. The firm's stated goal of reaching $100 million in Bitcoin holdings signals a long-term conviction in the cryptocurrency's value proposition. Hyperscale Data generates revenue from its GPU computing services, which it uses to fund Bitcoin purchases. This dual approach combines operational cash flow with digital asset investment. The company's Bitcoin accumulation strategy is not unique. Many public firms, including MicroStrategy and Tesla, have adopted similar treasury models. However, Hyperscale Data's focus on GPU computing adds a distinct angle. The firm operates data centers optimized for artificial intelligence and machine learning workloads. These operations require significant energy and hardware investments. By holding Bitcoin, the company aims to hedge against fiat currency depreciation and inflation. The strategy also aligns with the growing trend of tech firms diversifying their balance sheets with digital assets. How Hyperscale Data Funds Its Bitcoin Purchases Hyperscale Data funds its Bitcoin acquisitions through a combination of operational revenue and capital market activities. The company reported strong demand for its GPU computing services, driven by the AI boom. This cash flow provides a steady stream of capital for Bitcoin purchases. Additionally, the firm has raised funds through equity offerings and debt instruments. In its latest filing, Hyperscale Data noted that it uses a systematic buying approach. This method avoids market timing and reduces price impact. The company's treasury management team evaluates market conditions regularly. They adjust purchase volumes based on Bitcoin price movements and operational needs. The firm's Bitcoin holdings are custodied with institutional-grade custodians. This ensures security and compliance with regulatory standards. Hyperscale Data also implements strict internal controls for digital asset management. These measures include multi-signature wallets and cold storage solutions. The company's board of directors oversees the treasury strategy. They review performance metrics and risk exposure quarterly. This governance structure adds credibility to the firm's Bitcoin accumulation program. Impact of Corporate Bitcoin Holdings on Financial Performance Corporate Bitcoin holdings can significantly impact a company's financial statements. Under US GAAP, Bitcoin is classified as an indefinite-lived intangible asset. This means companies must test for impairment regularly. If the Bitcoin price falls below the carrying value, companies record an impairment charge. However, if the price rises, they cannot recognize gains until the asset is sold. This accounting treatment creates volatility in reported earnings. Hyperscale Data must navigate these accounting complexities as it expands its Bitcoin treasury. Despite accounting challenges, many companies view Bitcoin as a strategic asset. The cryptocurrency has historically outperformed traditional asset classes over long time horizons. For Hyperscale Data, holding Bitcoin also serves as a marketing tool. It signals to investors that the company is forward-thinking and aligned with digital innovation. The firm's stock price has shown correlation with Bitcoin price movements. This relationship attracts crypto-focused investors and traders. However, it also introduces additional volatility to the company's equity valuation. Comparison with Other Public Companies Holding Bitcoin Hyperscale Data's Bitcoin holdings are modest compared to industry leaders. MicroStrategy holds over 214,000 BTC, making it the largest corporate Bitcoin holder. Tesla holds approximately 9,720 BTC. Coinbase, as a crypto exchange, holds significant Bitcoin for operational purposes. The following table compares Hyperscale Data with other public firms: Company Bitcoin Holdings (BTC) Value (USD) Percentage of Treasury MicroStrategy 214,400 $16.8 billion 95% Tesla 9,720 $763 million 5% Hyperscale Data 675 $53.1 million 40% Block (Square) 8,027 $630 million 10% Hyperscale Data's Bitcoin allocation represents a significant portion of its treasury. This high concentration reflects the company's conviction in Bitcoin's long-term value. The firm's management believes that Bitcoin will continue to appreciate as institutional adoption grows. They cite factors such as the Bitcoin halving cycle, increasing regulatory clarity, and growing demand from ETFs. Market Context: Bitcoin Price Trends and Corporate Adoption Bitcoin's price has experienced significant volatility in 2025. The cryptocurrency traded above $100,000 in early 2025 before correcting to around $78,000 by late April. This price movement reflects broader macroeconomic factors. These include interest rate decisions by the Federal Reserve, geopolitical tensions, and regulatory developments. Despite short-term fluctuations, Bitcoin's long-term trend remains upward. The 2024 halving event reduced the daily supply of new Bitcoin from 900 to 450 BTC. This supply constraint supports price appreciation over time. Corporate adoption of Bitcoin continues to accelerate. In 2025, several major companies added Bitcoin to their balance sheets. These include healthcare firms, technology companies, and even some traditional industrial conglomerates. The trend is driven by several factors. First, Bitcoin offers a hedge against inflation. Second, it provides diversification away from fiat currencies. Third, it signals innovation to stakeholders. Hyperscale Data's decision to increase its Bitcoin holdings aligns with this broader corporate trend. Regulatory Environment for Corporate Bitcoin Holdings The regulatory landscape for corporate Bitcoin holdings has evolved significantly. In the United States, the SEC has provided clearer guidance on digital asset accounting. The Financial Accounting Standards Board (FASB) now requires fair value accounting for certain digital assets. This change, effective in 2025, allows companies to recognize unrealized gains on their Bitcoin holdings. This accounting update makes Bitcoin more attractive for corporate treasuries. Hyperscale Data benefits from this improved accounting treatment. It can now reflect the true economic value of its Bitcoin holdings in its financial statements. Internationally, regulatory frameworks vary. The European Union's Markets in Crypto-Assets (MiCA) regulation provides a comprehensive framework for digital assets. This regulation enhances investor protection and market integrity. For companies like Hyperscale Data, operating in multiple jurisdictions requires careful compliance. The firm works with legal advisors to ensure its Bitcoin treasury program meets all regulatory requirements. This proactive approach reduces legal risk and enhances trust among investors. Risks and Challenges of Corporate Bitcoin Holdings Holding Bitcoin on a corporate balance sheet carries inherent risks. Price volatility is the most significant risk. Bitcoin can experience double-digit percentage declines in short periods. This volatility can impact a company's liquidity and solvency if not managed properly. Hyperscale Data mitigates this risk by maintaining adequate cash reserves. The company also uses hedging strategies to protect against downside price movements. However, these strategies come with their own costs and complexities. Security risks are another major concern. Bitcoin holdings are vulnerable to theft, hacking, and operational errors. Hyperscale Data uses institutional-grade custody solutions to protect its assets. These solutions include multi-signature wallets, cold storage, and insurance coverage. The company also conducts regular security audits. Despite these measures, no system is completely immune to risk. The firm's board regularly reviews security protocols and updates them as needed. Reputational risks also exist. Some stakeholders may view Bitcoin as speculative or environmentally harmful. Hyperscale Data addresses these concerns through transparent communication. The company publishes its Bitcoin holdings regularly. It also highlights the energy efficiency of its GPU operations. The firm uses renewable energy sources for its data centers. This reduces the environmental impact of its Bitcoin mining and computing activities. Future Outlook for Hyperscale Data's Bitcoin Strategy Hyperscale Data's goal of reaching $100 million in Bitcoin holdings is ambitious. At current Bitcoin prices, this would require approximately 1,280 BTC. The company would need to acquire an additional 605 BTC. This represents a 90% increase from current holdings. The firm plans to achieve this goal through continued operational cash flow and strategic capital raises. The timeline for reaching this target depends on Bitcoin price movements and the company's financial performance. Analysts have mixed views on the strategy. Some praise the firm's conviction and long-term thinking. Others express concern about concentration risk. The company's management remains confident. They believe Bitcoin will continue to appreciate as a store of value. The firm's GPU computing business provides a stable revenue stream. This allows the company to weather Bitcoin price downturns. The strategy aligns with the broader trend of companies using Bitcoin as a treasury reserve asset. Conclusion Hyperscale Data now holds 675 BTC, marking a significant increase from its January holdings. The NYSE-listed company targets $100 million in Bitcoin as part of its corporate treasury strategy. This move reflects growing institutional adoption of Bitcoin. The firm's GPU computing operations provide the cash flow to fund these purchases. While risks exist, the company's systematic approach and governance structure enhance its credibility. Hyperscale Data Bitcoin holdings will likely continue to grow as the firm executes its strategic plan. Investors should monitor the company's filings for updates on its Bitcoin treasury program. FAQs Q1: How many Bitcoin does Hyperscale Data hold? A1: Hyperscale Data holds 675.35 BTC as of April 26, 2025, valued at approximately $53.1 million. Q2: What is Hyperscale Data's Bitcoin target? A2: The company aims to increase its Bitcoin holdings to $100 million, which would require acquiring additional Bitcoin at current prices. Q3: How does Hyperscale Data fund its Bitcoin purchases? A3: The firm uses operational revenue from its GPU computing services and capital market activities to fund Bitcoin acquisitions. Q4: What are the risks of corporate Bitcoin holdings? A4: Key risks include price volatility, security threats, regulatory changes, and reputational concerns. Hyperscale Data mitigates these through custody solutions, hedging, and transparent reporting. Q5: How does Hyperscale Data compare to other corporate Bitcoin holders? A5: Hyperscale Data's 675 BTC is modest compared to MicroStrategy's 214,400 BTC but represents a significant portion of the firm's treasury.
Content Reference URL	None

Publisher Name	BitcoinWorld (#18248)
Publisher URL	https://bitcoinworld.co.in/
Description	None
Trust Flow Score	13
Citation Flow Score	59

Data Source Name	NewsCatcher (#303)
Data Source Type	news
Data Source URL	https://www.newscatcherapi.com/
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/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(2335)
  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

1.07

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(2336)
  data_source = content.data_source

SELECT COUNT(*) AS "__count"
FROM "pl_content"
WHERE "pl_content"."parent_content_id" = 31224711SELECT COUNT(*) AS "__count" FROM "pl_content" WHERE "pl_content"."parent_content_id" = 31224711

1.11

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)
  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 ' '0x7f77f0ac09a0>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/GPUS/content/31224711'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7f77eb7c5800>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7f77eb7c5800>>'} {'content_detail': {'content': <Content: Hyperscale Data Bitcoin Holdings Surge to 675 BTC: NYSE Firm Targets $100 Million Treasury - Sofiya>, 'content_content': <ContentContent: Content ID: 38216641>, 'data_source': <DataSource: NewsCatcher>, 'publisher': <ContentPublisher: BitcoinWorld>}, '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 ' '0x7f77f0ac09a0>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/GPUS/content/31224711'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7f77eb7c5800>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7f77eb7c5800>>'} {'content_detail': {'content': <Content: Hyperscale Data Bitcoin Holdings Surge to 675 BTC: NYSE Firm Targets $100 Million Treasury - Sofiya>, 'content_content': <ContentContent: Content ID: 38216641>, 'data_source': <DataSource: NewsCatcher>, 'publisher': <ContentPublisher: BitcoinWorld>}, '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 ' '0x7f77f0ac09a0>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/GPUS/content/31224711'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7f77eb7c5800>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7f77eb7c5800>>'} {'content_detail': {'content': <Content: Hyperscale Data Bitcoin Holdings Surge to 675 BTC: NYSE Firm Targets $100 Million Treasury - Sofiya>, 'content_content': <ContentContent: Content ID: 38216641>, 'data_source': <DataSource: NewsCatcher>, 'publisher': <ContentPublisher: BitcoinWorld>}, '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 ' '0x7f77f0ac09a0>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/GPUS/content/31224711'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7f77eb7c5800>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7f77eb7c5800>>'} {'content_detail': {'content': <Content: Hyperscale Data Bitcoin Holdings Surge to 675 BTC: NYSE Firm Targets $100 Million Treasury - Sofiya>, 'content_content': <ContentContent: Content ID: 38216641>, 'data_source': <DataSource: NewsCatcher>, 'publisher': <ContentPublisher: BitcoinWorld>}, '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 ' '0x7f77f0ac09a0>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/GPUS/content/31224711'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7f77eb7c5800>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7f77eb7c5800>>'} {'content_detail': {'content': <Content: Hyperscale Data Bitcoin Holdings Surge to 675 BTC: NYSE Firm Targets $100 Million Treasury - Sofiya>, 'content_content': <ContentContent: Content ID: 38216641>, 'data_source': <DataSource: NewsCatcher>, 'publisher': <ContentPublisher: BitcoinWorld>}, '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 0x7f77ec0b05d0>, <TextNode: '%;"></div>\n '>, <Variable Node: content_detail.content.sentiment_neutral>, <TextNode: '" style="width:'>, <django.template.defaulttags.WidthRatioNode object at 0x7f77ec0b3510>, <TextNode: '%;"></div>\n '>, <Variable Node: content_detail.content.sentiment_positive>, <TextNode: '" style="width:'>, <django.template.defaulttags.WidthRatioNode object at 0x7f77ec048550>, <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 ' '0x7f77f0ac09a0>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/GPUS/content/31224711'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7f77eb7c5800>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7f77eb7c5800>>'} {'content_detail': {'content': <Content: Hyperscale Data Bitcoin Holdings Surge to 675 BTC: NYSE Firm Targets $100 Million Treasury - Sofiya>, 'content_content': <ContentContent: Content ID: 38216641>, 'data_source': <DataSource: NewsCatcher>, 'publisher': <ContentPublisher: BitcoinWorld>}, '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 0x7f77f0ac09a0>>}
django.template.context_processors.debug: Toggle context
{}
django.template.context_processors.request: Toggle context
{'request': <WSGIRequest: GET '/ticker/GPUS/content/31224711'>}
django.contrib.auth.context_processors.auth: Toggle context
{'user': <SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7f77eb7c5800>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7f77eb7c5800>>)}
django.contrib.messages.context_processors.messages: Toggle context
{'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/GPUS/content/31224711'>>, '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, FileSystemStorage._clear_cached_properties, FileSystemStorage._clear_cached_properties, FileSystemStorage._clear_cached_properties, FileSystemStorage._clear_cached_properties, FileSystemStorage._clear_cached_properties, FileSystemStorage._clear_cached_properties, StaticFilesStorage._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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