Title	Neumora Therapeutics Q4 Earnings Call Highlights
ID	30920260
External ID	68005685-acfd-3775-bccc-931df914a033
Author
Published Date	March 30, 2026, 8:04 a.m.
Summary	Neumora Therapeutics Q4 Earnings Call Highlights MarketBeat Mon, March 30, 2026 at 9:04 AM EDT 7 min read NMRA Neumora Therapeutics logo Key Points Neumora expects a "catalyst-rich" 2026 with both KOA
Tags
URL	https://www.marketbeat.com/instant-alerts/neumora-therapeutics-q4-earnings-call-highlights-2026-03-30/?utm_source=yahoofinance&utm_medium=yahoofinance
Sentiment	Negative: 0.01400 Neutral: 0.32819 Positive: 0.65782
Relevance	0.04444

Content ID	37987375
Key	828b4a02-9ded-4696-832a-9b240e745c8e
Content	Neumora Therapeutics Q4 Earnings Call Highlights MarketBeat Mon, March 30, 2026 at 9:04 AM EDT 7 min read NMRA Neumora Therapeutics logo Key Points Neumora expects a "catalyst-rich" 2026 with both KOASTAL-2 and KOASTAL-3 (navacaprant) fully enrolled (>400 patients each) and a joint top-line readout slated for Q2 2026 ; management says one positive study plus supportive data could justify a pre-NDA meeting with the FDA. NMRA-511 (vasopressin 1A antagonist) produced a clinically meaningful signal in a phase 1b study (Cohen's d ~0.32–0.34 on CMAI in NPI‑AA ≥4 patients), supporting a MAD extension with data expected H2 2026 and a planned phase II start in Q1 2027 . NMRA-215 (brain-penetrant NLRP3 inhibitor for obesity) showed promising mouse efficacy but unexpected adverse findings in a 13-week rat tox study prompted a repeat study and delayed the clinic entry to Q1 2027 ; Neumora ended 2025 with $182.5M in cash, funding operations into Q3 2027 . Interested in Neumora Therapeutics, Inc.? Here are five stocks we like better. Neumora Therapeutics (NASDAQ:NMRA) outlined clinical and pipeline updates alongside its fourth-quarter and full-year 2025 financial results, highlighting multiple anticipated data catalysts in 2026 and providing additional detail on several preclinical and clinical programs. Management highlights “catalyst-rich” 2026 Chief Executive Officer Paul Berns said 2025 included “important clinical progress and execution,” pointing to progress across the company’s pipeline, including NMRA-511 in Alzheimer’s disease agitation, the phase III navacaprant program in major depressive disorder (MDD), expansion of the company’s M4 positive allosteric modulator (PAM) franchise, and updated preclinical work for NMRA-215 in obesity. → Is Oracle the First of the AI Bubbles to Pop? President Joshua Pinto said the company is entering “a catalyst-rich period with multiple clinical data readouts expected this year,” with the phase III KOASTAL navacaprant readout expected in the second quarter of 2026 and additional clinical updates anticipated later in the year for other programs. NMRA-511: Additional Phase 1b analysis in AD agitation Pinto said Neumora recently reported positive results from a phase 1b “signal-seeking” study of NMRA-511, an oral vasopressin 1A receptor antagonist being developed for Alzheimer’s disease (AD) agitation. He emphasized the study showed a “clinically meaningful effect size” and favorable safety and tolerability “with no reports of somnolence or sedation.” → The Often-Missed Corner of Healthcare That Wall Street Is Loving On the call, the company highlighted new data from a pre-specified analysis in patients with a Neuropsychiatric Inventory agitation/aggression (NPI-AA) score of 4 or greater, which Pinto said aligns with enrollment criteria used in pivotal studies of Rexulti and Auvelity. Chief Operating and Development Officer Bill Aurora said this analysis included 53 patients and that NMRA-511-treated patients showed clinical benefit with a Cohen’s d effect size of 0.32 to 0.34 on the Cohen-Mansfield Agitation Inventory (CMAI) total score, “a similar magnitude to Rexulti.” Aurora also said the company observed an “unsurpassed effect size” across the CMAI Aggressive Behaviors subfactor and CGI-S agitation score in that population. Story Continues Aurora said the phase 1b was not powered for statistical significance and was designed to evaluate effect size across measures to inform future development. He added that the favorable tolerability in phase 1b provides an opportunity to test higher doses. Neumora plans a multiple ascending dose (MAD) extension, with data expected in the second half of 2026, and expects to initiate a phase II study in the first quarter of 2027. → Why It's Not Time to Give Up on the Gold Trade In response to a question on effect size over time, Aurora said the effect size was “quite consistent” across timepoints. Pinto added that the new NPI-AA analysis supports a “well-established regulatory pathway” while “preserving the ability for a broad label” in AD agitation. Navacaprant: Phase III KOASTAL-2 and KOASTAL-3 fully enrolled Neumora’s phase III program for navacaprant, a kappa-opioid receptor antagonist being studied as monotherapy for MDD, has reached full enrollment. Aurora said KOASTAL-2 and KOASTAL-3 each enrolled more than 400 patients and are now fully enrolled, with a “joint top-line data readout” expected in the second quarter of 2026. Aurora said the company incorporated “key learnings” from the prior KOASTAL-1 readout, including enhanced medical monitoring to verify appropriate patients, screening tools to rule out “professional patients,” and focusing on sites with MDD trial expertise. He added that screen fail rates were approximately 10% higher than KOASTAL-1, which management characterized as supportive of improved patient selection. Management said the upcoming joint readout is expected to include: Top-line results for KOASTAL-2 Top-line results for KOASTAL-3 Pre-specified analyses including a post-optimization population of more than 450 patients enrolled after changes were implemented in early 2025 During Q&A, Aurora said Neumora believes “one positive study, either KOASTAL-2 or KOASTAL-3 plus supportive data,” would support requesting a pre-NDA meeting with the FDA. He said supportive evidence could come in “a variety of forms,” including measures such as anhedonia as measured by SHAPS and safety/tolerability in a large population. M4 PAM and metabolic programs: NMRA-898 selected; NMRA-215 tox issue prompts repeat study Neumora announced it has selected NMRA-898 as its lead M4 PAM program for development in schizophrenia. Aurora said NMRA-898 showed an approximately 80- to 100-hour half-life in humans in an ongoing phase I study, supporting once-daily dosing, and that exposures were dose-proportional with low variability. He also said the company observed “on-target changes in heart rate” that it views as pharmacodynamic evidence of target engagement. Aurora said Neumora is conducting a MAD study of NMRA-898 in healthy volunteers and patients with stable schizophrenia, with objectives including identifying a maximum tolerated dose and confirming CNS penetration via CSF exposure. Data are expected in the second half of 2026. Management also said development of NMRA-861 has been paused, though Pinto said it remains a “viable compound for future indications.” In the metabolic franchise, Chief Scientific Officer Nicholas Brandon reviewed new 12-week diet-induced obesity (DIO) mouse data for NMRA-215, the company’s brain-penetrant oral NLRP3 inhibitor being prioritized for obesity. Brandon said the study supports potential use in “mechanism of action switch and maintenance treatment paradigms.” He described results in which mice switched at week 8 from NMRA-215 plus semaglutide to NMRA-215 monotherapy maintained weight loss similar to semaglutide monotherapy through the full study duration. He also said NMRA-215 showed “sustained semaglutide-like weight loss” after switching from semaglutide to NMRA-215 at week 8. However, management also disclosed “unexpected adverse findings” in a small number of animals in a separate 13-week rat toxicology study. Brandon said the observations were not dose-dependent, were not associated with a known molecule-related or on-target effect, and occurred alongside “documented study conduct issues.” He said the company opened a for-cause audit and has started dosing a repeat 13-week rat toxicology study at a different CRO. Brandon said Neumora has completed 28-day rat and dog and 13-week dog toxicology studies without similar findings and with margins management believes are sufficient to achieve IC90 brain concentrations. Neumora now expects to bring NMRA-215 into the clinic in the first quarter of 2027. Pinto said the delay reduces 2026 spending on NMRA-215 and “will free up capital” for other areas. Cash position and runway Chief Financial Officer Michael Milligan said Neumora ended 2025 with $182.5 million in cash, cash equivalents, and marketable securities, and expects its current cash position to support operations into the third quarter of 2027. Milligan also said the company’s total net loss for 2025 was comparable to 2024, and directed investors to the company’s press release for additional financial detail. About Neumora Therapeutics (NASDAQ:NMRA) Neumora Therapeutics, headquartered in Cambridge, Massachusetts, is a clinical-stage biopharmaceutical company focused on developing precision therapies for disorders of the central nervous system. The company applies an integrated approach that combines advanced biological insights, single-cell genomics and machine learning to accelerate the discovery and development of novel treatments for neurological and psychiatric diseases. Neumora's product pipeline spans small molecules, biologics and gene-based modalities targeting areas of high unmet need such as neurodegenerative conditions, mood and anxiety disorders, neuropathic pain and movement disorders. The article " Neumora Therapeutics Q4 Earnings Call Highlights " was originally published by MarketBeat. View Comments Terms and Privacy Policy Your Privacy Choices More Info
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Publisher Name	r/StockMarket (#9510)
Publisher URL	marketbeat.com
Description	None
Trust Flow Score	28
Citation Flow Score	71

Data Source Name	Yahoo Finance News (#2)
Data Source Type	news
Data Source URL	https://finance.yahoo.com/
Description	Yahoo! Finance is a media property that is part of the Yahoo! network. It provides financial news, data and commentary including stock quotes, press releases, financial reports, and original content. It also offers some online tools for personal finance management.
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/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_htmx/middleware.py in __call__(43)
  return self.get_response(request)

/mnt/disks/pennyloupe_disk/pennyloupe/app/core/views/app.py in ticker_content_detail(2358)
  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" = 2
LIMIT 21SELECT ••• FROM "pl_data_source" WHERE "pl_data_source"."id" = 2 LIMIT 21

0.83

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(2359)
  data_source = content.data_source

SELECT COUNT(*) AS "__count"
FROM "pl_content"
WHERE "pl_content"."parent_content_id" = 30920260SELECT COUNT(*) AS "__count" FROM "pl_content" WHERE "pl_content"."parent_content_id" = 30920260

1.01

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(2371)
  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 ' '0x7fb2f1ca3920>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/NMRA/content/30920260'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7fb2f1ca0220>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7fb2f1ca0220>>'} {'content_detail': {'content': <Content: Neumora Therapeutics Q4 Earnings Call Highlights - >, 'content_content': <ContentContent: Content ID: 37987375>, 'data_source': <DataSource: Yahoo Finance News>, 'publisher': <ContentPublisher: r/StockMarket>}, 'ticker': 'NMRA'}
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 ' '0x7fb2f1ca3920>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/NMRA/content/30920260'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7fb2f1ca0220>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7fb2f1ca0220>>'} {'content_detail': {'content': <Content: Neumora Therapeutics Q4 Earnings Call Highlights - >, 'content_content': <ContentContent: Content ID: 37987375>, 'data_source': <DataSource: Yahoo Finance News>, 'publisher': <ContentPublisher: r/StockMarket>}, 'ticker': 'NMRA'}
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 ' '0x7fb2f1ca3920>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/NMRA/content/30920260'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7fb2f1ca0220>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7fb2f1ca0220>>'} {'content_detail': {'content': <Content: Neumora Therapeutics Q4 Earnings Call Highlights - >, 'content_content': <ContentContent: Content ID: 37987375>, 'data_source': <DataSource: Yahoo Finance News>, 'publisher': <ContentPublisher: r/StockMarket>}, 'ticker': 'NMRA'} {'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 ' '0x7fb2f1ca3920>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/NMRA/content/30920260'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7fb2f1ca0220>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7fb2f1ca0220>>'} {'content_detail': {'content': <Content: Neumora Therapeutics Q4 Earnings Call Highlights - >, 'content_content': <ContentContent: Content ID: 37987375>, 'data_source': <DataSource: Yahoo Finance News>, 'publisher': <ContentPublisher: r/StockMarket>}, 'ticker': 'NMRA'} {'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 ' '0x7fb2f1ca3920>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/NMRA/content/30920260'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7fb2f1ca0220>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7fb2f1ca0220>>'} {'content_detail': {'content': <Content: Neumora Therapeutics Q4 Earnings Call Highlights - >, 'content_content': <ContentContent: Content ID: 37987375>, 'data_source': <DataSource: Yahoo Finance News>, 'publisher': <ContentPublisher: r/StockMarket>}, 'ticker': 'NMRA'} {'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 0x7fb2f1df8d10>, <TextNode: '%;"></div>\n '>, <Variable Node: content_detail.content.sentiment_neutral>, <TextNode: '" style="width:'>, <django.template.defaulttags.WidthRatioNode object at 0x7fb2f1bc0c10>, <TextNode: '%;"></div>\n '>, <Variable Node: content_detail.content.sentiment_positive>, <TextNode: '" style="width:'>, <django.template.defaulttags.WidthRatioNode object at 0x7fb2f1bc2090>, <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': 'NMRA'}
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 ' '0x7fb2f1ca3920>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/NMRA/content/30920260'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7fb2f1ca0220>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7fb2f1ca0220>>'} {'content_detail': {'content': <Content: Neumora Therapeutics Q4 Earnings Call Highlights - >, 'content_content': <ContentContent: Content ID: 37987375>, 'data_source': <DataSource: Yahoo Finance News>, 'publisher': <ContentPublisher: r/StockMarket>}, 'ticker': 'NMRA'} {'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 0x7fb2f1ca3920>>}
django.template.context_processors.debug: Toggle context
{}
django.template.context_processors.request: Toggle context
{'request': <WSGIRequest: GET '/ticker/NMRA/content/30920260'>}
django.contrib.auth.context_processors.auth: Toggle context
{'user': <SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7fb2f1ca0220>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7fb2f1ca0220>>)}
django.contrib.messages.context_processors.messages: Toggle context
{'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/NMRA/content/30920260'>>, 'DEFAULT_MESSAGE_LEVELS': {'DEBUG': 10, 'INFO': 20, 'SUCCESS': 25, 'WARNING': 30, 'ERROR': 40}}

Cache calls from 1 backend

Summary

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

Commands

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

Signals

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

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

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