Title	Most Active Stocks Today: Nvidia, Tesla, PAVS, American Airlines and More Drive U.S. Market Volume on December 10, 2025
ID	29184385
External ID	fbf47ba9e16ff265397501742d912df4
Author	Shan Ahmed Khan
Published Date	Dec. 10, 2025, 6:56 a.m.
Summary	Most Active Stocks Today: Nvidia, Tesla, PAVS, American Airlines and More Drive U.S. Market Volume on December 10, 2025 - TechStock²
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URL	https://ts2.tech/en/most-active-stocks-today-nvidia-tesla-pavs-american-airlines-and-more-drive-u-s-market-volume-on-december-10-2025
Sentiment	Negative: 0.43454 Neutral: 0.13060 Positive: 0.43486
Relevance	0.01901

Content ID	36774851
Key	ce36fecc-8900-49f5-a86f-9f40ef98595d
Content	The final U.S. trading days of 2025 are anything but sleepy. On Wednesday, December 10, 2025, the most active stocks today on the U.S. stock market span everything from mega‑cap AI leaders and streaming giants to ultra‑speculative penny stocks and battered turnaround stories. Below is a news‑style wrap that's optimized for readers searching phrases like 'most active stocks today,' 'highest volume stocks,' 'US stock market December 10 2025,' and specific tickers such as NVDA, TSLA, WBD, PAVS, AAL, HBAN, OPEN and more. Note: All prices and volumes are intraday as of December 10, 2025, based on public market data; this article is informational only and not investment advice. Market backdrop: Fed decision, higher yields and a busy tape U.S. stocks are trading cautiously as Wall Street awaits the Federal Reserve's final policy decision of 2025. On Tuesday's close (ahead of today's session), the Dow fell about 0.38%, the S&P 500 slipped 0.09% and the Nasdaq eked out a 0.13% gain, while the small‑cap Russell 2000 hit a fresh record. [1] Futures and Fed‑funds pricing still imply roughly an 87% chance of a 25‑basis‑point rate cut, but investors increasingly expect a more cautious tone on 2026, especially after a stronger‑than‑expected JOLTS job‑openings report and a 10‑year Treasury yield around 4.18–4.19%, its fourth straight day of gains. [2] Against that macro backdrop, trading volume has concentrated in a few big themes: AI and chips: Nvidia, Broadcom, Oracle and Microsoft all see heavy flows as investors digest new chip export rules and rumors of custom AI chip deals. [3] Nvidia, Broadcom, Oracle and Microsoft all see heavy flows as investors digest new chip export rules and rumors of custom AI chip deals. Media M&A mania: Warner Bros. Discovery rockets higher as Paramount Skydance launches a $108 billion hostile all‑cash bid , challenging Netflix's earlier offer. [4] Warner Bros. Discovery rockets higher as , challenging Netflix's earlier offer. Speculative microcaps: Tiny names like Paranovus (PAVS) , Netcapital (NCPL) and Senti Biosciences (SNTI) see eye‑popping volume on news, hype and volatility. [5] Tiny names like , and see eye‑popping volume on news, hype and volatility. Travel & banks:American Airlines (AAL) and regional lenders such as Huntington Bancshares (HBAN) are among the day's volume leaders, helped by rate‑cut expectations and fresh corporate headlines. [6] From a volume standpoint, WallStreetZen's 'Most Active Stocks Today (Highest Volume)' screen for Dec. 10, 2025 places PAVS, NVDA, CHR, WBD, ASST, PLUG, BBAI, ONDS, OPEN, SNTI, BYND, AAL, TSLA, INTC, SOFI, CFLT, OCG, NFLX and others near the top, all trading tens or even hundreds of millions of shares. [7] 1. AI & chips: Nvidia leads the large‑cap volume race Nvidia (NVDA): China export relief, geopolitical overhang Nvidia (NVDA) is once again one of the most heavily traded stocks today, with around 145 million shares changing hands and the stock hovering near $185, modestly lower on the day. [8] The big catalyst: The U.S. government under President Donald Trump has approved exports of Nvidia's H200 AI chip to 'approved' customers in China , subject to a 25% fee on those sales, effectively rolling back a prior Biden‑era ban. [9] , subject to a 25% fee on those sales, effectively rolling back a prior Biden‑era ban. At the same time, reports suggest Beijing may limit Chinese firms' access to these chips, highlighting that geopolitical risk around China revenue is far from resolved. [10] Analyst commentary remains bullish but more nuanced: A recent NVDA stock forecast article flags a roughly $133 price target, arguing AI data‑center demand remains powerful but valuations and China risk argue for caution. [11] In short, NVDA is still the volume king of large‑cap AI, but today's trading reflects a tug‑of‑war between regulatory relief and long‑term geopolitical uncertainty. Broadcom (AVGO), Microsoft (MSFT) and Oracle (ORCL): AI infrastructure trade Nvidia isn't alone: Broadcom (AVGO) is active as multiple outlets report that Microsoft is in talks to shift more of its custom AI chip business from Marvell to Broadcom , potentially giving AVGO a bigger slice of hyperscale AI spend. [12] is active as multiple outlets report that , potentially giving AVGO a bigger slice of hyperscale AI spend. Analysts now tout Broadcom as a potential AI revenue rival to Nvidia by 2026 , ahead of its upcoming Q4 earnings. [13] , ahead of its upcoming Q4 earnings. Oracle (ORCL) is also heavily traded heading into its Q2 FY2026 earnings after today's close, with Wall Street looking for roughly 15% revenue growth to about $16.2 billion, driven by its cloud and AI infrastructure push. Options pricing implies a 10%+ post‑earnings swing in the stock. [14] For traders scanning the most active stocks today, this AI‑hardware cluster—NVDA, AVGO, MSFT, ORCL, AMD and others—remains where big institutional money is moving fastest. 2. Hollywood on fire: Warner Bros. Discovery (WBD) dominates amid $108B hostile bid On the volume leaderboard, Warner Bros. Discovery (WBD) is near the top with more than 100 million shares traded and a price around $28–29, up sharply in recent sessions. [15] The reason reads like a streaming‑era soap opera: Paramount Skydance has launched a hostile, all‑cash $108.4 billion bid for all of WBD , offering $30 per share , a roughly 139% premium to WBD's pre‑deal price from September. [16] has launched a , offering , a roughly to WBD's pre‑deal price from September. The offer directly challenges Netflix's earlier ~$72–83 billion proposal for WBD's studio and streaming assets. [17] for WBD's studio and streaming assets. WBD has confirmed receipt of Paramount Skydance's unsolicited tender offer, and Netflix now faces a consumer class‑action lawsuit arguing that its deal would reduce streaming competition. [18] Coverage from Reuters and others notes that Gulf sovereign wealth funds are backing Paramount's bid with roughly $24 billion in equity, underscoring a major geopolitical and financial bet on Hollywood content. [19] For now, traders see WBD as the epicenter of a high‑stakes bidding war, with NFLX and Paramount's PSKY also attracting heavy turnover as investors handicap which deal—if any—ultimately sticks. [20] 3. Speculative microcaps: PAVS, NCPL, SNTI, OCG and IBIO light up the tape Paranovus Entertainment Technology (PAVS) At the very top of today's volume list is Paranovus Entertainment Technology (PAVS), trading around $0.04 with roughly 244 million shares changing hands—an extraordinary figure for a nano‑cap. [21] Recent catalysts: The company reported an astonishing 18,037% year‑over‑year revenue increase in its 2025 interim results, swinging from a $412k interim loss in 2024 to a modest profit in 2025 . [22] in its 2025 interim results, swinging from a . Despite that, PAVS has lost about 94–96% of its value over the past year, leading some analysts to argue it still looks risky despite the low price. [23] Forecast services frame PAVS as an extremely volatile microcap where daily moves are more about liquidity and speculation than fundamentals. [24] Netcapital (NCPL): volume monster just off the leaderboard Although not in WallStreetZen's top 20 list, Netcapital (NCPL) is another volume phenomenon today, trading nearly 230 million shares and more than doubling in price at one point. [25] Fuel for the move: NCPL announced a 1,000,000‑share inducement restricted stock award to a new employee under its 2023 equity plan, vesting in 2027 and tied to ambitious revenue targets. [26] to a new employee under its 2023 equity plan, vesting in 2027 and tied to ambitious revenue targets. Day‑trading and small‑cap news sites highlight a new CEO, blockchain expansion plans and the equity grant as key narrative drivers behind the intraday moves. [27] This is a classic 'lottery ticket' stock: massive volume, big percentage swings, and fundamentals that are still highly speculative. BigBear.ai (BBAI) and Ondas Holdings (ONDS) Two other high‑volume names with genuine business news: BigBear.ai (BBAI) trades tens of millions of shares after: Opening its first Middle East office in Abu Dhabi , expanding its defense‑focused AI footprint. Winning shareholder approval for more authorized shares and tighter proxy rules , which some governance watchers see as trading flexibility today for potential dilution tomorrow. [28] trades tens of millions of shares after: Ondas Holdings (ONDS) sees surging volume on: A new plan to invest up to $11 million in Ukrainian drone developer Drone Fight Group , and Recent government tenders and a Q3 revenue jump of nearly 582% year‑on‑year . [29] sees surging volume on: Both companies sit at the intersection of AI, defense and drones—areas that tend to attract thematic traders whenever news hits. Other micro‑speculation hotspots Names like Senti Biosciences (SNTI), Oriental Culture (OCG) and IBIO (IBIO) also appear on the most active list, often swinging 20–30% or more in a single session with limited fresh news, suggesting that momentum trading and short‑term technical setups—not long‑term fundamentals—are the main drivers. [30] 4. Airlines & travel: American Airlines and JetBlue on traders' radar American Airlines Group (AAL) American Airlines (AAL) is one of the most heavily traded large‑cap names today, with volume above 66 million shares and a price near $15.03. [31] Key developments: AAL outperformed the S&P 500 in the latest session , up about 1.1% versus the index's slight decline, and has gained more than 11% over the past month . [32] , up about 1.1% versus the index's slight decline, and has gained more than . Natixis disclosed a new roughly $5.96 million position in AAL, adding institutional credibility to the airline's gradual improvement narrative. [33] in AAL, adding institutional credibility to the airline's gradual improvement narrative. At the same time, Reuters reports that the U.S. Department of Transportation, under the Trump administration, waived $16.7 million in prior fines linked to wheelchair‑handling violations , instead directing American to invest about $16.8 million in accessibility upgrades , such as airport wheelchair lifts and tracking systems. [34] , instead directing American to invest about , such as airport wheelchair lifts and tracking systems. Sell‑side coverage generally views AAL as a high‑beta cyclical recovery story, with some analysts keeping Buy ratings and $18–$20 price targets, citing debt reduction and growing credit‑card revenue as key supports. [35] The mix of regulatory headlines, rate‑sensitive macro backdrop and cyclical recovery makes AAL a natural magnet for today's active traders. JetBlue Airways (JBLU) Lower down the volume table but still active is JetBlue (JBLU), which remains a controversial turnaround play: Citi recently initiated coverage with a Sell rating and a $4.10 price target , warning that JetBlue's turnaround may take longer than bulls hope. [36] , warning that JetBlue's turnaround may take longer than bulls hope. Morgan Stanley cut its target from $8 to $7 while maintaining an Equal‑Weight rating , seeing limited near‑term upside. [37] , seeing limited near‑term upside. Valuation‑focused research notes a recent share‑price bounce but still weak long‑term performance, leaving JBLU firmly in 'show‑me' territory. [38] Together, AAL and JBLU illustrate how airlines remain heavily traded, rate‑sensitive bets on both the U.S. consumer and the 2026 travel cycle. 5. EVs, alt‑protein & housing: TSLA, BYND, OPEN among the busiest names Tesla (TSLA) Tesla (TSLA) is again a top‑volume heavyweight, with more than 62 million shares traded and the stock oscillating in the $435–$452 range, roughly $438–$445 midday. [39] Recent storylines driving interest: Morgan Stanley assigned a new 'equal weight' rating and a $425 price target , in the context of Elon Musk's proposed $1 trillion pay package tied to 12 performance milestones through 2035 ; the bank thinks Tesla might hit seven. [40] , in the context of Elon Musk's proposed ; the bank thinks Tesla might hit seven. Tesla is aggressively pushing discounts and financing incentives on the Model Y to sustain volume into year‑end, a sign of both competitive pressure and management's desire to defend EV market share. [41] to sustain volume into year‑end, a sign of both competitive pressure and management's desire to defend EV market share. Musk's brief stint advising the White House's 'Department of Government Efficiency' and subsequent exit has added to the headline noise and volatility around the stock. [42] On the numbers side, analysts currently assign TSLA a consensus 'Hold' rating, with 12 Buys, 12 Holds and 10 Sells. The average target around $383.54 implies roughly 15% downside from current levels—highlighting just how stretched expectations already are, even after a ~9–10% gain in 2025. [43] Beyond Meat (BYND) Ultra‑beaten‑down Beyond Meat (BYND) is another most active stock today, trading more than 70 million shares at roughly $1.20–$1.30. [44] Recent coverage paints a mixed picture: The company is down nearly 70% year‑to‑date and about 73% below its 52‑week high , reflecting weak demand and repeated disappointments. [45] , reflecting weak demand and repeated disappointments. Articles note a 'miserable' Q3 , followed by a large debt‑to‑equity conversion that diluted shareholders , leaving Beyond mostly debt‑free but still burning cash. [46] , followed by a large , leaving Beyond mostly debt‑free but still burning cash. Short‑term traders have piled in after recent revenue beats and policy headlines (such as Austria's proposed advertising ban on meat), but most long‑form analysis remains highly skeptical of the long‑term path to profitability. [47] Opendoor Technologies (OPEN) Opendoor (OPEN) is one of today's more notable 'most active' mid‑caps, with ~76 million shares traded and the stock near $7.00–$7.40, down sharply over the past month. [48] The narrative: In less than a month, OPEN has fallen about 24–25% , from roughly $9.37 to just above $7 , prompting several bearish pieces arguing the stock may slide toward $5 , a level seen within the past five years. [49] , from roughly , prompting several bearish pieces arguing the stock may , a level seen within the past five years. At the same time, bullish commentary asks whether Opendoor's iBuying model could still be a 'millionaire‑maker' if housing liquidity and margins normalize over a multi‑year horizon, despite weaker 2025 revenues (down ~11% in the first nine months vs. last year). [50] This clash between long‑term optimism and near‑term balance‑sheet concerns is exactly the sort of setup that tends to generate high volume and wide intraday ranges. 6. Banks, packaging and regionals: HBAN, GPK and others Huntington Bancshares (HBAN) Huntington Bancshares (HBAN), a Midwest‑based regional lender, is another high‑volume name, with more than 31 million shares traded around $17.00. [51] Recent drivers: The bank is in the midst of a major expansion push via acquisitions, including the $7.4 billion all‑stock purchase of Cadence Bank and a recent Veritex deal, with management acknowledging planned job cuts at Cadence but long‑term growth ambitions in Texas and the Carolinas . [52] via acquisitions, including the and a recent Veritex deal, with management acknowledging . HBAN is presenting today at the Goldman Sachs Financial Services Conference , giving management a high‑profile platform to discuss loan growth, asset quality and synergy targets. [53] , giving management a high‑profile platform to discuss loan growth, asset quality and synergy targets. Analyst work now pegs consensus price targets around $19.3–$19.32, with several brokers raising their targets to $19–$21 and maintaining Buy ratings. [54] In other words, HBAN sits at the intersection of two big 2025 themes: regional bank consolidation and the impact of Fed rate cuts on net interest margins. Graphic Packaging (GPK) Graphic Packaging (GPK) isn't at the very top of today's volume list but is seeing elevated turnover after a sharp price drop: The company recently announced additional cost‑cut plans and lowered its 2025 EBITDA outlook , pressuring the shares to near 52‑week lows. [55] , pressuring the shares to near 52‑week lows. Analysts have responded by cutting price targets —for example, Truist Securities reduced its target from $23 to $20 , while others downgraded the stock from 'Outperform' to 'Sector Perform.' [56] —for example, , while others downgraded the stock from 'Outperform' to 'Sector Perform.' Even so, today's MarketBeat summary notes that the average 12‑month target sits near $20.9, implying significant upside from current levels, though the consensus recommendation has slipped to 'Reduce/Hold'. [57] GPK is a good example of how 'most active' often means 're‑rating in progress'—investors are rapidly repricing expectations rather than reacting to a single surprise. 7. What today's analyst forecasts are signaling (and what they're not) Across these most active stocks, the picture from Wall Street research is nuanced: NVDA & AVGO: Analysts still forecast strong AI‑driven growth and, in some cases, further upside, but recent notes highlight China export risk (for Nvidia) and customer‑concentration risk (for Broadcom) as key downside factors. [58] Analysts still forecast strong AI‑driven growth and, in some cases, further upside, but recent notes highlight and as key downside factors. TSLA: A 'Hold' consensus and an average target below the current price reflect a wide dispersion of views —from robotaxi‑driven bull cases to regulatory and competition‑driven bear cases. [59] A and an average target below the current price reflect a —from robotaxi‑driven bull cases to regulatory and competition‑driven bear cases. HBAN: Multiple brokers now see moderate upside (~10–15%) , but caution that regulatory burdens will increase as assets rise above key thresholds following its acquisitions. [60] Multiple brokers now see , but caution that will increase as assets rise above key thresholds following its acquisitions. GPK & JBLU: Both carry muted or negative ratings , even as their depressed share prices give them high upside in some target‑price models—signaling that earnings and execution risks remain high . [61] Both carry , even as their depressed share prices give them high upside in some target‑price models—signaling that . Microcaps like PAVS, NCPL, BBAI and ONDS: Forecasts (where they exist) are often based on small analyst samples or automated models, and commentary repeatedly stresses illiquidity, governance and dilution risk alongside the upside scenarios. [62] In every case, high trading volume is a signal, not an answer: it tells you where the market's attention is, not which way the story will ultimately break. 8. How traders and investors can use 'most active stocks today' For day‑traders, swing traders and longer‑term investors alike, most‑active lists are essentially a map of where liquidity and news risk are concentrated right now: Spot the catalyst. Look for why a stock is active: M&A (WBD), policy shifts (NVDA), rate expectations (HBAN, AAL), restructurings (GPK), or speculative news (PAVS, NCPL). Separate story from hype. Huge percentage moves in microcaps (PAVS, NCPL, SNTI, OCG) often outsize the underlying news, turning them into trading vehicles rather than investments. Check the analyst and balance‑sheet context. Names like TSLA, NVDA, BYND and OPEN all show how analyst targets and debt levels can differ dramatically from intraday enthusiasm. Watch the macro overlay. Today's volume is happening with a Fed decision, rising yields and AI‑policy headlines all hitting at once—conditions that can amplify both rallies and sell‑offs. [63] Bottom line On December 10, 2025, the most active stocks on the U.S. market tell a multi‑threaded story: AI and chips (NVDA, AVGO, ORCL) anchor the large‑cap volume as investors digest export policy shifts and cloud‑infrastructure spending. anchor the large‑cap volume as investors digest export policy shifts and cloud‑infrastructure spending. Media titans (WBD, NFLX, PSKY) trade like a Hollywood cliffhanger amid a historic bidding war. trade like a Hollywood cliffhanger amid a historic bidding war. Speculative microcaps (PAVS, NCPL, SNTI, OCG, IBIO) draw in momentum capital with wild swings and thin fundamentals. draw in momentum capital with wild swings and thin fundamentals. Cyclicals (AAL, BYND, OPEN, TSLA, HBAN, GPK) showcase how interest‑rate expectations, leverage and sector‑specific news can make or break sentiment. References 1. www.reuters.com, 2. www.reuters.com, 3. www.reuters.com, 4. www.reuters.com, 5. www.wallstreetzen.com, 6. www.wallstreetzen.com, 7. www.wallstreetzen.com, 8. www.wallstreetzen.com, 9. www.reuters.com, 10. www.reuters.com, 11. www.forbes.com, 12. finance.yahoo.com, 13. www.tipranks.com, 14. www.benzinga.com, 15. www.wallstreetzen.com, 16. www.reuters.com, 17. www.reuters.com, 18. ir.wbd.com, 19. www.reuters.com, 20. www.wallstreetzen.com, 21. www.wallstreetzen.com, 22. www.stocktitan.net, 23. simplywall.st, 24. stockinvest.us, 25. www.rttnews.com, 26. www.stocktitan.net, 27. stockstotrade.com, 28. www.wallstreetzen.com, 29. www.wallstreetzen.com, 30. www.wallstreetzen.com, 31. www.wallstreetzen.com, 32. finance.yahoo.com, 33. www.marketbeat.com, 34. www.reuters.com, 35. www.investors.com, 36. www.investors.com, 37. www.gurufocus.com, 38. www.nasdaq.com, 39. www.wallstreetzen.com, 40. www.investors.com, 41. finance.yahoo.com, 42. www.gurufocus.com, 43. www.tipranks.com, 44. www.wallstreetzen.com, 45. finance.yahoo.com, 46. www.fool.com, 47. stockstotrade.com, 48. www.wallstreetzen.com, 49. www.forbes.com, 50. www.fool.com, 51. www.wallstreetzen.com, 52. www.reuters.com, 53. ir.huntington.com, 54. finance.yahoo.com, 55. www.investing.com, 56. www.gurufocus.com, 57. www.marketbeat.com, 58. www.reuters.com, 59. www.tipranks.com, 60. www.reuters.com, 61. www.marketbeat.com, 62. stockinvest.us, 63. www.reuters.com
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LOGGING	`{}`
LOGGING_CONFIG	`'logging.config.dictConfig'`
LOGIN_REDIRECT_URL	`'/accounts/profile/'`
LOGIN_URL	`'/accounts/login/'`
LOGOUT_REDIRECT_URL	`None`
MANAGERS	`[]`
MEDIA_ROOT	`PosixPath('/mnt/disks/pennyloupe_disk/pennyloupe/media')`
MEDIA_URL	`'/media/'`
MESSAGE_STORAGE	`'django.contrib.messages.storage.fallback.FallbackStorage'`
MIDDLEWARE	['django.middleware.security.SecurityMiddleware', 'whitenoise.middleware.WhiteNoiseMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.cache.UpdateCacheMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', 'django_htmx.middleware.HtmxMiddleware', 'debug_toolbar.middleware.DebugToolbarMiddleware']
MIGRATION_MODULES	`{}`
MONTH_DAY_FORMAT	`'F j'`
NUMBER_GROUPING	`0`
OPENAI_API_KEY	`'********************'`
PASSWORD_HASHERS	`'********************'`
PASSWORD_RESET_TIMEOUT	`'********************'`
POLYGON_API_KEY	`'********************'`
PREPEND_WWW	`False`
QT_API_KEY	`'********************'`
QT_APP_ID	`'13d3cbab'`
QT_PASSWORD	`'********************'`
QT_USERNAME	`'kevin+dev3@pennyloupe.com'`
ROOT_URLCONF	`'app.urls'`
SALT_KEY	`'********************'`
SCRAPER_API_KEY	`'********************'`
SECRET_KEY	`'********************'`
SECRET_KEY_FALLBACKS	`'********************'`
SECURE_CONTENT_TYPE_NOSNIFF	`True`
SECURE_CROSS_ORIGIN_OPENER_POLICY	`'same-origin'`
SECURE_HSTS_INCLUDE_SUBDOMAINS	`False`
SECURE_HSTS_PRELOAD	`False`
SECURE_HSTS_SECONDS	`0`
SECURE_PROXY_SSL_HEADER	`None`
SECURE_REDIRECT_EXEMPT	`[]`
SECURE_REFERRER_POLICY	`'same-origin'`
SECURE_SSL_HOST	`None`
SECURE_SSL_REDIRECT	`False`
SERVER_EMAIL	`'root@localhost'`
SESSION_CACHE_ALIAS	`'default'`
SESSION_COOKIE_AGE	`1209600`
SESSION_COOKIE_DOMAIN	`None`
SESSION_COOKIE_HTTPONLY	`True`
SESSION_COOKIE_NAME	`'sessionid'`
SESSION_COOKIE_PATH	`'/'`
SESSION_COOKIE_SAMESITE	`'Lax'`
SESSION_COOKIE_SECURE	`False`
SESSION_ENGINE	`'django.contrib.sessions.backends.db'`
SESSION_EXPIRE_AT_BROWSER_CLOSE	`False`
SESSION_FILE_PATH	`None`
SESSION_SAVE_EVERY_REQUEST	`False`
SESSION_SERIALIZER	`'django.contrib.sessions.serializers.JSONSerializer'`
SETTINGS_MODULE	`'app.settings'`
SHORT_DATETIME_FORMAT	`'m/d/Y P'`
SHORT_DATE_FORMAT	`'m/d/Y'`
SIGNING_BACKEND	`'django.core.signing.TimestampSigner'`
SILENCED_SYSTEM_CHECKS	`[]`
SQL_FILES_DIR	`'/mnt/disks/pennyloupe_disk/pennyloupe/app/core/sql'`
STATICFILES_DIRS	`[]`
STATICFILES_FINDERS	`['django.contrib.staticfiles.finders.FileSystemFinder', 'django.contrib.staticfiles.finders.AppDirectoriesFinder']`
STATIC_ROOT	`PosixPath('/mnt/disks/pennyloupe_disk/pennyloupe/static')`
STATIC_URL	`'/static/'`
STORAGES	`{'default': {'BACKEND': 'django.core.files.storage.FileSystemStorage'}, 'staticfiles': {'BACKEND': 'django.contrib.staticfiles.storage.StaticFilesStorage'}}`
TEMPLATES	`[{'APP_DIRS': True, 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': ['templates'], 'OPTIONS': {'context_processors': ['django.template.context_processors.debug', 'django.template.context_processors.request', 'django.contrib.auth.context_processors.auth', 'django.contrib.messages.context_processors.messages']}}]`
TEST_NON_SERIALIZED_APPS	`[]`
TEST_RUNNER	`'django.test.runner.DiscoverRunner'`
THOUSAND_SEPARATOR	`','`
TIME_FORMAT	`'P'`
TIME_INPUT_FORMATS	`['%H:%M:%S', '%H:%M:%S.%f', '%H:%M']`
TIME_ZONE	`'UTC'`
USE_I18N	`True`
USE_THOUSAND_SEPARATOR	`False`
USE_TZ	`True`
USE_X_FORWARDED_HOST	`False`
USE_X_FORWARDED_PORT	`False`
WSGI_APPLICATION	`'app.wsgi.application'`
X_FRAME_OPTIONS	`'DENY'`
YEAR_MONTH_FORMAT	`'F Y'`

Headers

Request headers

Key	Value
Accept	/
Accept-Encoding	gzip, br, zstd, deflate
Cookie	=> see Request panel
Host	www.pennyloupe.com
User-Agent	Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)

Response headers

Key	Value
Content-Type	text/html; charset=utf-8

WSGI environ

Since the WSGI environ inherits the environment of the server, only a significant subset is shown below.

Key	Value
CONTENT_LENGTH
CONTENT_TYPE
PATH_INFO	/ticker/NCPL/content/29184385
QUERY_STRING
REMOTE_ADDR	216.73.216.158
REQUEST_METHOD	GET
SCRIPT_NAME
SERVER_NAME	pennyloupe.com
SERVER_PORT	443
SERVER_PROTOCOL	HTTP/1.1

Request

View information

View function	Arguments	Keyword arguments	URL name
`app.core.views.app.ticker_content_detail`	`()`	`{'content_id': 29184385, 'ticker': 'NCPL'}`	`ticker_content_detail`

Cookies

Variable	Value
`'csrftoken'`	`'KEkC6K31bGbzhhqTQDTcy77usoYA8GZy'`

No session data

No GET data

No POST data

SQL queries from 1 connection

default 11.93 ms (5 queries )

Query Timeline Time (ms) Action

SELECT "pl_content"."created_dt",
       "pl_content"."updated_dt",
       "pl_content"."status_id",
       "pl_content"."id",
       "pl_content"."key",
       "pl_content"."fetch_ref_id",
       "pl_content"."ticker",
       "pl_content"."publish_dt",
       "pl_content"."external_id",
       "pl_content"."published_by",
       "pl_content"."title",
       "pl_content"."summary",
       "pl_content"."tags",
       "pl_content"."url",
       "pl_content"."author",
       "pl_content"."author_reputation_score",
       "pl_content"."content_length",
       "pl_content"."parent_key",
       "pl_content"."sentiment_positive",
       "pl_content"."sentiment_negative",
       "pl_content"."sentiment_neutral",
       "pl_content"."sentiment",
       "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" = 29184385
LIMIT 21SELECT ••• FROM "pl_content" WHERE "pl_content"."id" = 29184385 LIMIT 21

3.77

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(2297)
  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" = 29184385
ORDER BY "pl_content_content"."id" ASC
LIMIT 1SELECT ••• FROM "pl_content_content" WHERE "pl_content_content"."content_id" = 29184385 ORDER BY "pl_content_content"."id" ASC LIMIT 1

4.76

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(2303)
  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" = 20595
LIMIT 21SELECT ••• FROM "pl_content_publisher" WHERE "pl_content_publisher"."id" = 20595 LIMIT 21

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(2306)
  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

1.15

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(2307)
  data_source = content.data_source

SELECT COUNT(*) AS "__count"
FROM "pl_content"
WHERE "pl_content"."parent_content_id" = 29184385SELECT COUNT(*) AS "__count" FROM "pl_content" WHERE "pl_content"."parent_content_id" = 29184385

1.14

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(2319)
  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 ' '0x7f3fb6409d00>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/NCPL/content/29184385'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7f3fb661bc40>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7f3fb661bc40>>'} {'content_detail': {'content': <Content: Most Active Stocks Today: Nvidia, Tesla, PAVS, American Airlines and More Drive U.S. Market Volume on December 10, 2025 - Shan Ahmed Khan>, 'content_content': <ContentContent: Content ID: 36774851>, 'data_source': <DataSource: NewsCatcher>, 'publisher': <ContentPublisher: ts2.tech>}, 'ticker': 'NCPL'}
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 ' '0x7f3fb6409d00>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/NCPL/content/29184385'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7f3fb661bc40>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7f3fb661bc40>>'} {'content_detail': {'content': <Content: Most Active Stocks Today: Nvidia, Tesla, PAVS, American Airlines and More Drive U.S. Market Volume on December 10, 2025 - Shan Ahmed Khan>, 'content_content': <ContentContent: Content ID: 36774851>, 'data_source': <DataSource: NewsCatcher>, 'publisher': <ContentPublisher: ts2.tech>}, 'ticker': 'NCPL'}
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 ' '0x7f3fb6409d00>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/NCPL/content/29184385'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7f3fb661bc40>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7f3fb661bc40>>'} {'content_detail': {'content': <Content: Most Active Stocks Today: Nvidia, Tesla, PAVS, American Airlines and More Drive U.S. Market Volume on December 10, 2025 - Shan Ahmed Khan>, 'content_content': <ContentContent: Content ID: 36774851>, 'data_source': <DataSource: NewsCatcher>, 'publisher': <ContentPublisher: ts2.tech>}, 'ticker': 'NCPL'} {'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 ' '0x7f3fb6409d00>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/NCPL/content/29184385'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7f3fb661bc40>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7f3fb661bc40>>'} {'content_detail': {'content': <Content: Most Active Stocks Today: Nvidia, Tesla, PAVS, American Airlines and More Drive U.S. Market Volume on December 10, 2025 - Shan Ahmed Khan>, 'content_content': <ContentContent: Content ID: 36774851>, 'data_source': <DataSource: NewsCatcher>, 'publisher': <ContentPublisher: ts2.tech>}, 'ticker': 'NCPL'} {'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 ' '0x7f3fb6409d00>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/NCPL/content/29184385'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7f3fb661bc40>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7f3fb661bc40>>'} {'content_detail': {'content': <Content: Most Active Stocks Today: Nvidia, Tesla, PAVS, American Airlines and More Drive U.S. Market Volume on December 10, 2025 - Shan Ahmed Khan>, 'content_content': <ContentContent: Content ID: 36774851>, 'data_source': <DataSource: NewsCatcher>, 'publisher': <ContentPublisher: ts2.tech>}, 'ticker': 'NCPL'} {'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 0x7f3fb6007ed0>, <TextNode: '%;"></div>\n '>, <Variable Node: content_detail.content.sentiment_neutral>, <TextNode: '" style="width:'>, <django.template.defaulttags.WidthRatioNode object at 0x7f3fb600c310>, <TextNode: '%;"></div>\n '>, <Variable Node: content_detail.content.sentiment_positive>, <TextNode: '" style="width:'>, <django.template.defaulttags.WidthRatioNode object at 0x7f3fb600c690>, <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': 'NCPL'}
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 ' '0x7f3fb6409d00>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/NCPL/content/29184385'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7f3fb661bc40>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7f3fb661bc40>>'} {'content_detail': {'content': <Content: Most Active Stocks Today: Nvidia, Tesla, PAVS, American Airlines and More Drive U.S. Market Volume on December 10, 2025 - Shan Ahmed Khan>, 'content_content': <ContentContent: Content ID: 36774851>, 'data_source': <DataSource: NewsCatcher>, 'publisher': <ContentPublisher: ts2.tech>}, 'ticker': 'NCPL'} {'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 0x7f3fb6409d00>>}
django.template.context_processors.debug: Toggle context
{}
django.template.context_processors.request: Toggle context
{'request': <WSGIRequest: GET '/ticker/NCPL/content/29184385'>}
django.contrib.auth.context_processors.auth: Toggle context
{'user': <SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7f3fb661bc40>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7f3fb661bc40>>)}
django.contrib.messages.context_processors.messages: Toggle context
{'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/NCPL/content/29184385'>>, '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

Content Detail

Versions

Time

Resource usage

Browser timing

Settings from app.settings

Headers

Request headers

Response headers

WSGI environ

Request

View information

Cookies

No session data

No GET data

No POST data

SQL queries from 1 connection

Static files (720 found, 2 used)

Static file paths

Static file apps

Static files

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

Templates (6 rendered)

Template path

Templates

Context processors

Cache calls from 1 backend

Summary

Commands

Signals