DJDT

Versions

Package	Name	Version
Django		5.2.1
Python		3.11.8
coverage	Coverage	7.4.4
debug_toolbar	Debug Toolbar	4.3.0
django_extensions	Django Extensions	5.2.1
grappelli	Grappelli	4.0.2

Time

Resource usage

Resource	Value
User CPU time	181.326 msec
System CPU time	3.926 msec
Total CPU time	185.252 msec
Elapsed time	431.402 msec
Context switches	36 voluntary, 2 involuntary

Browser timing

Timing attribute	Timeline	Milliseconds since navigation start (+length)

Settings from app.settings

Setting	Value
ABSOLUTE_URL_OVERRIDES	`{}`
ADMINS	`[]`
ALLOWED_HOSTS	`['*']`
APPEND_SLASH	`True`
AUTH0_CLIENT_ID	`'********************'`
AUTH0_CLIENT_SECRET	`'********************'`
AUTH0_DOMAIN	`'********************'`
AUTHENTICATION_BACKENDS	`'********************'`
AUTH_PASSWORD_VALIDATORS	`'********************'`
AUTH_USER_MODEL	`'********************'`
BASE_DIR	`PosixPath('/mnt/disks/pennyloupe_disk/pennyloupe')`
CACHES	`{'default': {'BACKEND': 'django.core.cache.backends.filebased.FileBasedCache', 'LOCATION': '/var/tmp/django_cache'}}`
CACHE_MIDDLEWARE_ALIAS	`'default'`
CACHE_MIDDLEWARE_KEY_PREFIX	`'********************'`
CACHE_MIDDLEWARE_SECONDS	`600`
CELERY_BROKER_URL	`'redis://localhost:6379'`
CELERY_RESULT_BACKEND	`'redis://localhost:6379'`
CSRF_COOKIE_AGE	`31449600`
CSRF_COOKIE_DOMAIN	`None`
CSRF_COOKIE_HTTPONLY	`False`
CSRF_COOKIE_NAME	`'csrftoken'`
CSRF_COOKIE_PATH	`'/'`
CSRF_COOKIE_SAMESITE	`'Lax'`
CSRF_COOKIE_SECURE	`False`
CSRF_FAILURE_VIEW	`'django.views.csrf.csrf_failure'`
CSRF_HEADER_NAME	`'HTTP_X_CSRFTOKEN'`
CSRF_TRUSTED_ORIGINS	`[]`
CSRF_USE_SESSIONS	`False`
DATABASES	`{'default': {'ATOMIC_REQUESTS': False, 'AUTOCOMMIT': True, 'CONN_HEALTH_CHECKS': False, 'CONN_MAX_AGE': 0, 'ENGINE': 'django.db.backends.postgresql', 'HOST': '34.125.28.12', 'NAME': 'pennyloupe', 'OPTIONS': {}, 'PASSWORD': '********************', 'PORT': '5432', 'TEST': {'CHARSET': None, 'COLLATION': None, 'HOST': 'localhost', 'MIGRATE': True, 'MIRROR': None, 'NAME': 'test_pennyloupe'}, 'TIME_ZONE': None, 'USER': 'pennyloupe'}}`
DATABASE_ROUTERS	`[]`
DATA_UPLOAD_MAX_MEMORY_SIZE	`2621440`
DATA_UPLOAD_MAX_NUMBER_FIELDS	`1000`
DATA_UPLOAD_MAX_NUMBER_FILES	`100`
DATETIME_FORMAT	`'N j, Y, P'`
DATETIME_INPUT_FORMATS	`['%Y-%m-%d %H:%M:%S', '%Y-%m-%d %H:%M:%S.%f', '%Y-%m-%d %H:%M', '%m/%d/%Y %H:%M:%S', '%m/%d/%Y %H:%M:%S.%f', '%m/%d/%Y %H:%M', '%m/%d/%y %H:%M:%S', '%m/%d/%y %H:%M:%S.%f', '%m/%d/%y %H:%M']`
DATE_FORMAT	`'N j, Y'`
DATE_INPUT_FORMATS	`['%Y-%m-%d', '%m/%d/%Y', '%m/%d/%y', '%b %d %Y', '%b %d, %Y', '%d %b %Y', '%d %b, %Y', '%B %d %Y', '%B %d, %Y', '%d %B %Y', '%d %B, %Y']`
DEBUG	`True`
DEBUG_PROPAGATE_EXCEPTIONS	`False`
DEBUG_TOOLBAR_CONFIG	`{'SHOW_TOOLBAR_CALLBACK': <function <lambda> at 0x7fa715f9f1a0>}`
DECIMAL_SEPARATOR	`'.'`
DEFAULT_AUTO_FIELD	`'django.db.models.BigAutoField'`
DEFAULT_CHARSET	`'utf-8'`
DEFAULT_EXCEPTION_REPORTER	`'django.views.debug.ExceptionReporter'`
DEFAULT_EXCEPTION_REPORTER_FILTER	`'django.views.debug.SafeExceptionReporterFilter'`
DEFAULT_FROM_EMAIL	`'webmaster@localhost'`
DEFAULT_INDEX_TABLESPACE	`''`
DEFAULT_TABLESPACE	`''`
DISALLOWED_USER_AGENTS	`[]`
EMAIL_BACKEND	`'django.core.mail.backends.smtp.EmailBackend'`
EMAIL_HOST	`'localhost'`
EMAIL_HOST_PASSWORD	`'********************'`
EMAIL_HOST_USER	`''`
EMAIL_PORT	`25`
EMAIL_SSL_CERTFILE	`None`
EMAIL_SSL_KEYFILE	`'********************'`
EMAIL_SUBJECT_PREFIX	`'[Django] '`
EMAIL_TIMEOUT	`None`
EMAIL_USE_LOCALTIME	`False`
EMAIL_USE_SSL	`False`
EMAIL_USE_TLS	`False`
FIELD_ENCRYPTION_KEY	`'********************'`
FILE_UPLOAD_DIRECTORY_PERMISSIONS	`None`
FILE_UPLOAD_HANDLERS	`['django.core.files.uploadhandler.MemoryFileUploadHandler', 'django.core.files.uploadhandler.TemporaryFileUploadHandler']`
FILE_UPLOAD_MAX_MEMORY_SIZE	`2621440`
FILE_UPLOAD_PERMISSIONS	`420`
FILE_UPLOAD_TEMP_DIR	`None`
FIRST_DAY_OF_WEEK	`0`
FIXTURE_DIRS	`[]`
FORCE_SCRIPT_NAME	`None`
FORMAT_MODULE_PATH	`None`
FORMS_URLFIELD_ASSUME_HTTPS	`False`
FORM_RENDERER	`'django.forms.renderers.DjangoTemplates'`
GCP_LOCATION	`'us-central1'`
GCP_PROJECT_ID	`'advance-honor-411011'`
GCP_PROJECT_NUMBER	`'268856636042'`
GCP_SERVICE_ACCOUNT	`'/Users/kcallahan/.config/gcloud/vector-search-user.json'`
GCP_VERTEX_BUCKET	`'pennyloupe-us-central1'`
GCP_VERTEX_INDEX_ID	`'2477861603379249152'`
GRAPPELLI_ADMIN_TITLE	`'Penny Loupe'`
GRAPPELLI_AUTOCOMPLETE_SEARCH_FIELDS	`{'auth': '********************'}`
IGNORABLE_404_URLS	`[]`
INSTALLED_APPS	`['coverage', 'grappelli', 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.humanize', 'django.contrib.messages', 'django.contrib.postgres', 'django.contrib.sessions', 'django.contrib.staticfiles', 'django_htmx', 'app.core.apps.CoreConfig', 'django_extensions', 'debug_toolbar']`
INTERNAL_IPS	`['127.0.0.1']`
LANGUAGES	`[('en', 'English')]`
LANGUAGES_BIDI	`['he', 'ar', 'ar-dz', 'ckb', 'fa', 'ug', 'ur']`
LANGUAGE_CODE	`'en-us'`
LANGUAGE_COOKIE_AGE	`None`
LANGUAGE_COOKIE_DOMAIN	`None`
LANGUAGE_COOKIE_HTTPONLY	`False`
LANGUAGE_COOKIE_NAME	`'django_language'`
LANGUAGE_COOKIE_PATH	`'/'`
LANGUAGE_COOKIE_SAMESITE	`None`
LANGUAGE_COOKIE_SECURE	`False`
LOCALE_PATHS	`[]`
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
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	/trade/bot/55
QUERY_STRING
REMOTE_ADDR	216.73.216.170
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.trade_bot_detail`	`()`	`{'id': 55}`	`trade_bot_detail`

No cookies

No session data

No GET data

No POST data

SQL queries from 1 connection

default 24.32 ms (9 queries )

Query Timeline Time (ms) Action

SELECT "pl_trade_bot"."created_dt",
       "pl_trade_bot"."updated_dt",
       "pl_trade_bot"."status_id",
       "pl_trade_bot"."id",
       "pl_trade_bot"."name",
       "pl_trade_bot"."description",
       "pl_trade_bot"."key",
       "pl_trade_bot"."last_run_dt",
       "pl_trade_bot"."strategy",
       "pl_trade_bot"."version",
       "pl_trade_bot"."account_id",
       "pl_trade_bot"."trade_ledger_id",
       "pl_trade_bot"."model_id",
       "pl_trade_ledger"."created_dt",
       "pl_trade_ledger"."updated_dt",
       "pl_trade_ledger"."status_id",
       "pl_trade_ledger"."id",
       "pl_trade_ledger"."user_id",
       "pl_trade_ledger"."key",
       "pl_trade_ledger"."description",
       "pl_trade_ledger"."initial_cash_value",
       "pl_trade_ledger"."is_paper",
       "pl_trade_ledger"."account_number",
       "pl_trade_ledger"."account_provider",
       "pl_trade_ledger"."account_id",
       "pl_trade_ledger"."trade_account_id",
       "pl_model"."created_dt",
       "pl_model"."updated_dt",
       "pl_model"."status_id",
       "pl_model"."id",
       "pl_model"."key",
       "pl_model"."name",
       "pl_model"."description",
       "pl_model"."type",
       "pl_model"."version",
       "pl_model"."last_trained_dt",
       "pl_model"."last_run_dt",
       "pl_model"."end_point_url",
       "pl_model"."meta",
       "pl_model"."account_id"
  FROM "pl_trade_bot"
INNER JOIN "pl_trade_ledger"
    ON ("pl_trade_bot"."trade_ledger_id" = "pl_trade_ledger"."id")
  LEFT OUTER JOIN "pl_model"
    ON ("pl_trade_bot"."model_id" = "pl_model"."id")
WHERE "pl_trade_bot"."id" = 55
LIMIT 21SELECT ••• FROM "pl_trade_bot" INNER JOIN "pl_trade_ledger" ON ("pl_trade_bot"."trade_ledger_id" = "pl_trade_ledger"."id") LEFT OUTER JOIN "pl_model" ON ("pl_trade_bot"."model_id" = "pl_model"."id") WHERE "pl_trade_bot"."id" = 55 LIMIT 21

5.46

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 trade_bot_detail(2643)
  trade_bot = TradeBot.objects.select_related("model", "ledger").get(pk=id)

SELECT "pl_trade_position"."ticker" AS "ticker"
FROM "pl_trade_position"
WHERE "pl_trade_position"."trade_ledger_id" = 80SELECT ••• FROM "pl_trade_position" WHERE "pl_trade_position"."trade_ledger_id" = 80

1.26

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 trade_bot_detail(2646)
  trade_positions = get_ledger_positions(ledger_id=trade_bot.ledger.id)

/mnt/disks/pennyloupe_disk/pennyloupe/app/core/service/ledger.py in get_ledger_positions(27)
  tickers = list(tickers)

SELECT "pl_trade_order"."created_dt",
       "pl_trade_order"."updated_dt",
       "pl_trade_order"."status_id",
       "pl_trade_order"."id",
       "pl_trade_order"."key",
       "pl_trade_order"."trader_ref_id",
       "pl_trade_order"."ext_id",
       "pl_trade_order"."model",
       "pl_trade_order"."trade_strategy",
       "pl_trade_order"."ticker",
       "pl_trade_order"."action",
       "pl_trade_order"."reason",
       "pl_trade_order"."quantity",
       "pl_trade_order"."quantity_filled",
       "pl_trade_order"."price",
       "pl_trade_order"."total",
       "pl_trade_order"."note",
       "pl_trade_order"."history",
       "pl_trade_order"."trade_basket_id",
       "pl_trade_order"."trade_bot_id",
       "pl_trade_order"."trade_ledger_id",
       "pl_trade_order"."model_id",
       "pl_trade_basket"."created_dt",
       "pl_trade_basket"."updated_dt",
       "pl_trade_basket"."status_id",
       "pl_trade_basket"."id",
       "pl_trade_basket"."date",
       "pl_trade_basket"."trade_bot_id"
  FROM "pl_trade_order"
INNER JOIN "pl_trade_basket"
    ON ("pl_trade_order"."trade_basket_id" = "pl_trade_basket"."id")
WHERE ("pl_trade_order"."trade_basket_id" IN (SELECT U0."id" AS "id" FROM "pl_trade_basket" U0 WHERE (U0."status_id" = 10 AND U0."trade_bot_id" = 55 AND U0."date" >= '2026-01-23'::date AND U0."date" <= '2026-02-06'::date)) AND "pl_trade_order"."status_id" = 10)
ORDER BY "pl_trade_order"."created_dt" ASCSELECT ••• FROM "pl_trade_order" INNER JOIN "pl_trade_basket" ON ("pl_trade_order"."trade_basket_id" = "pl_trade_basket"."id") WHERE ("pl_trade_order"."trade_basket_id" IN (SELECT U0."id" AS "id" FROM "pl_trade_basket" U0 WHERE (U0."status_id" = 10 AND U0."trade_bot_id" = 55 AND U0."date" >= '2026-01-23'::date AND U0."date" <= '2026-02-06'::date)) AND "pl_trade_order"."status_id" = 10) ORDER BY "pl_trade_order"."created_dt" ASC

8.91

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 trade_bot_detail(2669)
  for order in trade_orders:

SELECT MAX("pl_symbol_history_stat"."report_date") AS "report_date__max"
FROM "pl_symbol_history_stat"
WHERE "pl_symbol_history_stat"."report_date" < '2026-02-06'::dateSELECT ••• FROM "pl_symbol_history_stat" WHERE "pl_symbol_history_stat"."report_date" < '2026-02-06'::date

1.74

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 trade_bot_detail(2766)
  date_prior = SymbolHistoryStat.objects.filter(report_date__lt=date_pick).aggregate(

SELECT DISTINCT "pl_trade_basket_pick"."ticker" AS "ticker",
       "pl_trade_basket_pick"."probability"
  FROM "pl_trade_basket_pick"
INNER JOIN "pl_trade_basket"
    ON ("pl_trade_basket_pick"."trade_basket_id" = "pl_trade_basket"."id")
WHERE ("pl_trade_basket"."date" = '2026-02-06'::date AND "pl_trade_basket"."status_id" = 10 AND "pl_trade_basket"."trade_bot_id" = 55 AND "pl_trade_basket_pick"."status_id" = 10)
ORDER BY "pl_trade_basket_pick"."probability" DESCSELECT ••• FROM "pl_trade_basket_pick" INNER JOIN "pl_trade_basket" ON ("pl_trade_basket_pick"."trade_basket_id" = "pl_trade_basket"."id") WHERE ("pl_trade_basket"."date" = '2026-02-06'::date AND "pl_trade_basket"."status_id" = 10 AND "pl_trade_basket"."trade_bot_id" = 55 AND "pl_trade_basket_pick"."status_id" = 10) ORDER BY "pl_trade_basket_pick"."probability" DESC

2.25

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 trade_bot_detail(2792)
  tickers = list(picklist_results.values_list("ticker", flat=True).distinct())

SELECT "pl_trade_basket_pick"."created_dt",
       "pl_trade_basket_pick"."updated_dt",
       "pl_trade_basket_pick"."status_id",
       "pl_trade_basket_pick"."id",
       "pl_trade_basket_pick"."ticker",
       "pl_trade_basket_pick"."probability",
       "pl_trade_basket_pick"."trade_basket_id",
       "pl_trade_basket"."date" AS "pick_date"
  FROM "pl_trade_basket_pick"
INNER JOIN "pl_trade_basket"
    ON ("pl_trade_basket_pick"."trade_basket_id" = "pl_trade_basket"."id")
WHERE ("pl_trade_basket"."date" = '2026-02-06'::date AND "pl_trade_basket"."status_id" = 10 AND "pl_trade_basket"."trade_bot_id" = 55 AND "pl_trade_basket_pick"."status_id" = 10)
ORDER BY "pl_trade_basket_pick"."probability" DESCSELECT ••• FROM "pl_trade_basket_pick" INNER JOIN "pl_trade_basket" ON ("pl_trade_basket_pick"."trade_basket_id" = "pl_trade_basket"."id") WHERE ("pl_trade_basket"."date" = '2026-02-06'::date AND "pl_trade_basket"."status_id" = 10 AND "pl_trade_basket"."trade_bot_id" = 55 AND "pl_trade_basket_pick"."status_id" = 10) ORDER BY "pl_trade_basket_pick"."probability" DESC

1.18

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 trade_bot_detail(2810)
  for row in picklist_results:

SELECT "pl_model_pick"."ticker" AS "ticker"
FROM "pl_model_pick"
WHERE ("pl_model_pick"."model_id" = 192 AND "pl_model_pick"."pick_date" = '2026-02-06'::date AND "pl_model_pick"."status_id" = 10)
ORDER BY "pl_model_pick"."probability" DESCSELECT ••• FROM "pl_model_pick" WHERE ("pl_model_pick"."model_id" = 192 AND "pl_model_pick"."pick_date" = '2026-02-06'::date AND "pl_model_pick"."status_id" = 10) ORDER BY "pl_model_pick"."probability" DESC

1.30

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 trade_bot_detail(2869)
  tickers = list(matching_results.values_list("ticker", flat=True))

SELECT "pl_model_pick"."created_dt",
       "pl_model_pick"."updated_dt",
       "pl_model_pick"."status_id",
       "pl_model_pick"."id",
       "pl_model_pick"."pick_date",
       "pl_model_pick"."ticker",
       "pl_model_pick"."probability",
       "pl_model_pick"."action",
       "pl_model_pick"."model_id"
  FROM "pl_model_pick"
WHERE ("pl_model_pick"."model_id" = 192 AND "pl_model_pick"."pick_date" = '2026-02-06'::date AND "pl_model_pick"."status_id" = 10)
ORDER BY "pl_model_pick"."probability" DESCSELECT ••• FROM "pl_model_pick" WHERE ("pl_model_pick"."model_id" = 192 AND "pl_model_pick"."pick_date" = '2026-02-06'::date AND "pl_model_pick"."status_id" = 10) ORDER BY "pl_model_pick"."probability" DESC

1.05

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 trade_bot_detail(2885)
  for row in matching_results:

SELECT "pl_trade_basket"."created_dt",
       "pl_trade_basket"."updated_dt",
       "pl_trade_basket"."status_id",
       "pl_trade_basket"."id",
       "pl_trade_basket"."date",
       "pl_trade_basket"."trade_bot_id"
  FROM "pl_trade_basket"
WHERE ("pl_trade_basket"."status_id" = 10 AND "pl_trade_basket"."trade_bot_id" = 55 AND "pl_trade_basket"."date" >= '2026-01-23'::date AND "pl_trade_basket"."date" <= '2026-02-06'::date)
ORDER BY "pl_trade_basket"."date" DESCSELECT ••• FROM "pl_trade_basket" WHERE ("pl_trade_basket"."status_id" = 10 AND "pl_trade_basket"."trade_bot_id" = 55 AND "pl_trade_basket"."date" >= '2026-01-23'::date AND "pl_trade_basket"."date" <= '2026-02-06'::date) ORDER BY "pl_trade_basket"."date" DESC

1.16

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 trade_bot_detail(2952)
  return render(request, "trade_bot_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(199)
  len_values = len(values)

165	`</ul>`
166	`</div>`
167
168	`{% for basket in trade_baskets %}`
169
170	`<div class="basket uk-flex uk-flex-middle">`
171
172	`<div class="day" uk-tooltip="Basket #{{ basket.id }}">`

/mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/trade_bot_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 (5 rendered)

Template path

templates

Templates

trade_bot_detail.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/trade_bot_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: ' "'xDd1I8Hula7lHsSLncwblbIkcYXrmLTwTIjLoUfyWFlig7gmCTNfEc3mL58zc64f'>", 'messages': <FallbackStorage: request=<WSGIRequest: GET '/trade/bot/55'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7fa6ff1654e0>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7fa6ff1654e0>>'} {'buy_filter': {'price_close__gte': 0.5, 'volume__gte': 1000000}, 'date_from': datetime.date(2026, 1, 23), 'date_pick': datetime.date(2026, 2, 6), 'date_to': datetime.date(2026, 2, 6), 'matching_results': [], 'order_pairs': {706: {'BTBT': {'buy_date': datetime.datetime(2026, 1, 23, 13, 30, 31, 584274, tzinfo=datetime.timezone.utc), 'buy_price': 2.14, 'buy_reason': 'recommend', 'buy_total': 421.58, 'css_class': 'uk-label-loss', 'current_price': None, 'profit_loss': -11.819999999999993, 'profit_loss_pct': -2.803738317757008, 'qty': 797.0, 'sell_date': datetime.datetime(2026, 1, 23, 14, 33, 4, 260473, tzinfo=datetime.timezone.utc), 'sell_price': 2.08, 'sell_reason': 'stop-loss', 'sell_total': 409.76, 'ticker': 'BTBT'}, 'CMCT': {'buy_date': datetime.datetime(2026, 1, 23, 13, 30, 33, 375133, tzinfo=datetime.timezone.utc), 'buy_price': 3.72, 'buy_reason': 'recommend', 'buy_total': 156.24, 'css_class': 'uk-label-loss', 'current_price': None, 'profit_loss': -3.4000000000000057, 'profit_loss_pct': -2.17613927291347, 'qty': 432.0, 'sell_date': datetime.datetime(2026, 1, 23, 14, 32, 3, 146250, tzinfo=datetime.timezone.utc), 'sell_price': 3.64, 'sell_reason': 'stop-loss', 'sell_total': 152.84, 'ticker': 'CMCT'}, 'HPK': {'buy_date': datetime.datetime(2026, 1, 23, 13, 30, 31, 363171, tzinfo=datetime.timezone.utc), 'buy_price': 4.02, 'buy_reason': 'recommend', 'buy_total': 120.6, 'css_class': 'uk-label-loss', 'current_price': None, 'profit_loss': -3.8999999999999915, 'profit_loss_pct': -3.2338308457711373, 'qty': 448.0, 'sell_date': datetime.datetime(2026, 1, 23, 14, 37, 9, 407636, tzinfo=datetime.timezone.utc), 'sell_price': 3.89, 'sell_reason': 'stop-loss', 'sell_total': 116.7, 'ticker': 'HPK'}, 'IOBT': {'buy_date': datetime.datetime(2026, 1, 23, 13, 30, 32, 26648, tzinfo=datetime.timezone.utc), 'buy_price': 0.43, 'buy_reason': 'recommend', 'buy_total': 1588.97, 'css_class': 'uk-label-loss', 'current_price': None, 'profit_loss': -95.44000000000005, 'profit_loss_pct': -6.00640666595342, 'qty': 3685.0, 'sell_date': datetime.datetime(2026, 1, 23, 14, 44, 13, 608770, tzinfo=datetime.timezone.utc), 'sell_price': 0.41, 'sell_reason': 'stop-loss', 'sell_total': 1493.53, 'ticker': 'IOBT'}, 'PSTV': {'buy_date': datetime.datetime(2026, 1, 23, 13, 30, 32, 921351, tzinfo=datetime.timezone.utc), 'buy_price': 0.29, 'buy_reason': 'recommend', 'buy_total': 1612.78, 'css_class': 'uk-label-loss', 'current_price': None, 'profit_loss': -24.62999999999988, 'profit_loss_pct': -1.5271766762980619, 'qty': 5598.0, 'sell_date': datetime.datetime(2026, 1, 23, 14, 34, 6, 103956, tzinfo=datetime.timezone.utc), 'sell_price': 0.28, 'sell_reason': 'stop-loss', 'sell_total': 1588.15, 'ticker': 'PSTV'}, 'SGMO': {'buy_date': datetime.datetime(2026, 1, 23, 13, 30, 31, 127871, tzinfo=datetime.timezone.utc), 'buy_price': 0.41, 'buy_reason': 'recommend', 'buy_total': 546.21, 'css_class': 'uk-label-loss', 'current_price': None, 'profit_loss': -5.930000000000064, 'profit_loss_pct': -1.0856630233792979, 'qty': 4362.0, 'sell_date': datetime.datetime(2026, 1, 23, 14, 33, 5, 388205, tzinfo=datetime.timezone.utc), 'sell_price': 0.4, 'sell_reason': 'stop-loss', 'sell_total': 540.28, 'ticker': 'SGMO'}, 'XTIA': {'buy_date': datetime.datetime(2026, 1, 23, 13, 30, 32, 251711, tzinfo=datetime.timezone.utc), 'buy_price': 1.88, 'buy_reason': 'recommend', 'buy_total': 658.0, 'css_class': 'uk-label-loss', 'current_price': None, 'profit_loss': -17.5, 'profit_loss_pct': -2.6595744680851063, 'qty': 844.0, 'sell_date': datetime.datetime(2026, 1, 23, 14, 36, 9, 147413, tzinfo=datetime.timezone.utc), 'sell_price': 1.83, 'sell_reason': 'stop-loss', 'sell_total': 640.5, 'ticker': 'XTIA'}}, 711: {'ALLO': {'buy_date': datetime.datetime(2026, 1, 27, 13, 30, 49, 485914, tzinfo=datetime.timezone.utc), 'buy_price': 1.54, 'buy_reason': 'recommend', 'buy_total': 636.02, 'css_class': 'uk-label-loss', 'current_price': None, 'profit_loss': -16.519999999999982, 'profit_loss_pct': -2.5974025974025943, 'qty': 430.0, 'sell_date': datetime.datetime(2026, 1, 27, 14, 54, 11, 490402, tzinfo=datetime.timezone.utc), 'sell_price': 1.5, 'sell_reason': 'stop-loss', 'sell_total': 619.5, 'ticker': 'ALLO'}, 'BITF': {'buy_date': datetime.datetime(2026, 1, 27, 13, 30, 51, 208267, tzinfo=datetime.timezone.utc), 'buy_price': 2.58, 'buy_reason': 'recommend', 'buy_total': 642.42, 'css_class': 'uk-label-loss', 'current_price': None, 'profit_loss': -14.93999999999994, 'profit_loss_pct': -2.325581395348828, 'qty': 249.0, 'sell_date': datetime.datetime(2026, 1, 27, 14, 53, 10, 551802, tzinfo=datetime.timezone.utc), 'sell_price': 2.52, 'sell_reason': 'stop-loss', 'sell_total': 627.48, 'ticker': 'BITF'}, 'BZAI': {'buy_date': datetime.datetime(2026, 1, 27, 13, 30, 54, 636671, tzinfo=datetime.timezone.utc), 'buy_price': 1.94, 'buy_reason': 'recommend', 'buy_total': 490.82, 'css_class': 'uk-label-loss', 'current_price': None, 'profit_loss': -10.120000000000005, 'profit_loss_pct': -2.061855670103094, 'qty': 296.0, 'sell_date': datetime.datetime(2026, 1, 27, 14, 31, 48, 172319, tzinfo=datetime.timezone.utc), 'sell_price': 1.9, 'sell_reason': 'stop-loss', 'sell_total': 480.7, 'ticker': 'BZAI'}, 'CABA': {'buy_date': datetime.datetime(2026, 1, 27, 13, 30, 54, 849068, tzinfo=datetime.timezone.utc), 'buy_price': 2.98, 'buy_reason': 'recommend', 'buy_total': 32.78, 'css_class': 'uk-label-gain', 'current_price': None, 'profit_loss': 1.2100000000000009, 'profit_loss_pct': 3.6912751677852373, 'qty': 208.0, 'sell_date': datetime.datetime(2026, 1, 28, 14, 31, 10, 174151, tzinfo=datetime.timezone.utc), 'sell_price': 3.09, 'sell_reason': 'profit: trailing stop-loss', 'sell_total': 33.99, 'ticker': 'CABA'}, 'CHGG': {'buy_date': datetime.datetime(2026, 1, 27, 13, 30, 58, 513459, tzinfo=datetime.timezone.utc), 'buy_price': 0.76, 'buy_reason': 'recommend', 'buy_total': 554.8, 'css_class': 'uk-label-gain', 'current_price': None, 'profit_loss': 19.129999999999995, 'profit_loss_pct': 3.4480894015861567, 'qty': 730.0, 'sell_date': datetime.datetime(2026, 1, 27, 14, 40, 0, 217829, tzinfo=datetime.timezone.utc), 'sell_price': 0.79, 'sell_reason': 'profit: trailing stop-loss', 'sell_total': 573.93, 'ticker': 'CHGG'}, 'DEFT': {'buy_date': datetime.datetime(2026, 1, 27, 13, 30, 53, 783029, tzinfo=datetime.timezone.utc), 'buy_price': 0.87, 'buy_reason': 'recommend', 'buy_total': 599.48, 'css_class': 'uk-label-loss', 'current_price': None, 'profit_loss': -14.840000000000032, 'profit_loss_pct': -2.475478748248487, 'qty': 687.0, 'sell_date': datetime.datetime(2026, 1, 27, 15, 52, 38, 363452, tzinfo=datetime.timezone.utc), 'sell_price': 0.85, 'sell_reason': 'stop-loss', 'sell_total': 584.64, 'ticker': 'DEFT'}, 'EVTV': {'buy_date': datetime.datetime(2026, 1, 27, 13, 30, 53, 993681, tzinfo=datetime.timezone.utc), 'buy_price': 2.37, 'buy_reason': 'recommend', 'buy_total': 16.59, 'css_class': 'uk-label-loss', 'current_price': None, 'profit_loss': -0.3500000000000014, 'profit_loss_pct': -2.1097046413502194, 'qty': 262.0, 'sell_date': datetime.datetime(2026, 1, 27, 14, 32, 50, 942830, tzinfo=datetime.timezone.utc), 'sell_price': 2.32, 'sell_reason': 'stop-loss', 'sell_total': 16.24, 'ticker': 'EVTV'}, 'FUBO': {'buy_date': datetime.datetime(2026, 1, 27, 13, 30, 49, 51113, tzinfo=datetime.timezone.utc), 'buy_price': 2.27, 'buy_reason': 'recommend', 'buy_total': 129.39, 'css_class': 'uk-label-loss', 'current_price': None, 'profit_loss': -3.4199999999999875, 'profit_loss_pct': -2.6431718061673917, 'qty': 291.0, 'sell_date': datetime.datetime(2026, 1, 27, 14, 34, 55, 557440, tzinfo=datetime.timezone.utc), 'sell_price': 2.21, 'sell_reason': 'stop-loss', 'sell_total': 125.97, 'ticker': 'FUBO'}, 'GNS': {'buy_date': datetime.datetime(2026, 1, 27, 13, 30, 52, 709564, tzinfo=datetime.timezone.utc), 'buy_price': 0.56, 'buy_reason': 'recommend', 'buy_total': 52.64, 'css_class': 'uk-label-loss', 'current_price': None, 'profit_loss': -1.7999999999999972, 'profit_loss_pct': -3.419452887537988, 'qty': 1110.0, 'sell_date': datetime.datetime(2026, 1, 27, 14, 32, 51, 157550, tzinfo=datetime.timezone.utc), 'sell_price': 0.54, 'sell_reason': 'stop-loss', 'sell_total': 50.84, 'ticker': 'GNS'}, 'GPUS': {'buy_date': datetime.datetime(2026, 1, 27, 13, 30, 55, 728966, tzinfo=datetime.timezone.utc), 'buy_price': 0.23, 'buy_reason': 'recommend', 'buy_total': 428.98, 'css_class': 'uk-label-loss', 'current_price': None, 'profit_loss': -9.350000000000023, 'profit_loss_pct': -2.179588792018281, 'qty': 2682.0, 'sell_date': datetime.datetime(2026, 1, 27, 14, 44, 3, 714930, tzinfo=datetime.timezone.utc), 'sell_price': 0.22, 'sell_reason': 'stop-loss', 'sell_total': 419.63, 'ticker': 'GPUS'}, 'HCHL': {'buy_date': datetime.datetime(2026, 1, 27, 13, 30, 55, 942766, tzinfo=datetime.timezone.utc), 'buy_price': 1.52, 'buy_reason': 'recommend', 'buy_total': 494.0, 'css_class': 'uk-label-loss', 'current_price': None, 'profit_loss': -35.75, 'profit_loss_pct': -7.236842105263158, 'qty': 325.0, 'sell_date': datetime.datetime(2026, 1, 27, 14, 32, 51, 368437, tzinfo=datetime.timezone.utc), 'sell_price': 1.41, 'sell_reason': 'stop-loss', 'sell_total': 458.25, 'ticker': 'HCHL'}, 'HOVR': {'buy_date': datetime.datetime(2026, 1, 27, 13, 30, 53, 352790, tzinfo=datetime.timezone.utc), 'buy_price': 2.2, 'buy_reason': 'recommend', 'buy_total': 618.2, 'css_class': 'uk-label-loss', 'current_price': None, 'profit_loss': -22.480000000000018, 'profit_loss_pct': -3.636363636363639, 'qty': 281.0, 'sell_date': datetime.datetime(2026, 1, 27, 14, 32, 51, 508612, tzinfo=datetime.timezone.utc), 'sell_price': 2.12, 'sell_reason': 'stop-loss', 'sell_total': 595.72, 'ticker': 'HOVR'}, 'IOBT': {'buy_date': datetime.datetime(2026, 1, 27, 13, 30, 58, 950160, tzinfo=datetime.timezone.utc), 'buy_price': 0.32, 'buy_reason': 'recommend', 'buy_total': 80.34, 'css_class': 'uk-label-loss', 'current_price': None, 'profit_loss': -2.1899999999999977, 'profit_loss_pct': -2.7259148618371887, 'qty': 1812.0, 'sell_date': datetime.datetime(2026, 1, 27, 14, 32, 51, 648689, tzinfo=datetime.timezone.utc), 'sell_price': 0.31, 'sell_reason': 'stop-loss', 'sell_total': 78.15, 'ticker': 'IOBT'}, 'OCG': {'buy_date': datetime.datetime(2026, 1, 27, 13, 30, 58, 736245, tzinfo=datetime.timezone.utc), 'buy_price': 1.84, 'buy_reason': 'recommend', 'buy_total': 288.88, 'css_class': 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base.html: /mnt/disks/pennyloupe_disk/pennyloupe/templates/base.html; Toggle context
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components/leftnav.html: /mnt/disks/pennyloupe_disk/pennyloupe/templates/components/leftnav.html; Toggle context
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components/header.html: /mnt/disks/pennyloupe_disk/pennyloupe/templates/components/header.html; Toggle context
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components/footer.html: /mnt/disks/pennyloupe_disk/pennyloupe/templates/components/footer.html; Toggle context
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'uk-label-loss', 'current_price': None, 'profit_loss': -41.85000000000002, 'profit_loss_pct': -4.795737122557729, 'qty': 1107.0, 'sell_date': datetime.datetime(2026, 1, 30, 14, 32, 52, 177777, tzinfo=datetime.timezone.utc), 'sell_price': 0.75, 'sell_reason': 'stop-loss', 'sell_total': 830.8, 'ticker': 'XPON'}, 'XRX': {'buy_date': datetime.datetime(2026, 1, 30, 13, 31, 4, 542342, tzinfo=datetime.timezone.utc), 'buy_price': 2.13, 'buy_reason': 'recommend', 'buy_total': 900.99, 'css_class': 'uk-label-loss', 'current_price': None, 'profit_loss': -21.149999999999977, 'profit_loss_pct': -2.3474178403755843, 'qty': 423.0, 'sell_date': datetime.datetime(2026, 1, 30, 14, 37, 56, 190657, tzinfo=datetime.timezone.utc), 'sell_price': 2.08, 'sell_reason': 'stop-loss', 'sell_total': 879.84, 'ticker': 'XRX'}}, 719: {'ABAT': {'buy_date': datetime.datetime(2026, 2, 2, 13, 31, 40, 449226, tzinfo=datetime.timezone.utc), 'buy_price': 4.07, 'buy_reason': 'recommend', 'buy_total': 716.32, 'css_class': 'uk-label-loss', 'current_price': None, 'profit_loss': -15.840000000000032, 'profit_loss_pct': -2.2113022113022156, 'qty': 441.0, 'sell_date': datetime.datetime(2026, 2, 2, 15, 0, 53, 963035, tzinfo=datetime.timezone.utc), 'sell_price': 3.98, 'sell_reason': 'stop-loss', 'sell_total': 700.48, 'ticker': 'ABAT'}, 'CISS': {'buy_date': datetime.datetime(2026, 2, 2, 13, 31, 42, 657056, tzinfo=datetime.timezone.utc), 'buy_price': 2.41, 'buy_reason': 'recommend', 'buy_total': 1523.12, 'css_class': 'uk-label-loss', 'current_price': None, 'profit_loss': -63.19999999999982, 'profit_loss_pct': -4.149377593360984, 'qty': 632.0, 'sell_date': datetime.datetime(2026, 2, 2, 14, 33, 5, 175938, tzinfo=datetime.timezone.utc), 'sell_price': 2.31, 'sell_reason': 'stop-loss', 'sell_total': 1459.92, 'ticker': 'CISS'}, 'FAT': {'buy_date': datetime.datetime(2026, 2, 2, 13, 31, 43, 100305, tzinfo=datetime.timezone.utc), 'buy_price': 0.24, 'buy_reason': 'recommend', 'buy_total': 1202.81, 'css_class': 'uk-label-loss', 'current_price': None, 'profit_loss': -126.61999999999989, 'profit_loss_pct': -10.527015904423799, 'qty': 6885.0, 'sell_date': datetime.datetime(2026, 2, 2, 14, 33, 5, 726535, tzinfo=datetime.timezone.utc), 'sell_price': 0.22, 'sell_reason': 'stop-loss', 'sell_total': 1076.19, 'ticker': 'FAT'}, 'NFE': {'buy_date': datetime.datetime(2026, 2, 2, 13, 31, 42, 440196, tzinfo=datetime.timezone.utc), 'buy_price': 1.33, 'buy_reason': 'recommend', 'buy_total': 1707.72, 'css_class': 'uk-label-loss', 'current_price': None, 'profit_loss': -38.51999999999998, 'profit_loss_pct': -2.2556390977443597, 'qty': 1284.0, 'sell_date': datetime.datetime(2026, 2, 2, 14, 46, 46, 955307, tzinfo=datetime.timezone.utc), 'sell_price': 1.3, 'sell_reason': 'stop-loss', 'sell_total': 1669.2, 'ticker': 'NFE'}, 'RPGL': {'buy_date': datetime.datetime(2026, 2, 2, 13, 31, 41, 336852, tzinfo=datetime.timezone.utc), 'buy_price': 0.78, 'buy_reason': 'recommend', 'buy_total': 527.11, 'css_class': 'uk-label-loss', 'current_price': None, 'profit_loss': -41.110000000000014, 'profit_loss_pct': -7.799131111153272, 'qty': 2588.0, 'sell_date': datetime.datetime(2026, 2, 2, 14, 33, 6, 256609, tzinfo=datetime.timezone.utc), 'sell_price': 0.72, 'sell_reason': 'stop-loss', 'sell_total': 486.0, 'ticker': 'RPGL'}}, 720: {'ABTC': {'buy_date': datetime.datetime(2026, 2, 3, 13, 30, 36, 490053, tzinfo=datetime.timezone.utc), 'buy_price': 1.46, 'buy_reason': 'recommend', 'buy_total': 592.76, 'css_class': 'uk-label-loss', 'current_price': None, 'profit_loss': -16.24000000000001, 'profit_loss_pct': -2.739726027397262, 'qty': 406.0, 'sell_date': datetime.datetime(2026, 2, 3, 14, 52, 49, 516710, tzinfo=datetime.timezone.utc), 'sell_price': 1.42, 'sell_reason': 'stop-loss', 'sell_total': 576.52, 'ticker': 'ABTC'}, 'ASST': {'buy_date': datetime.datetime(2026, 2, 3, 13, 30, 30, 11320, tzinfo=datetime.timezone.utc), 'buy_price': 0.73, 'buy_reason': 'recommend', 'buy_total': 249.03, 'css_class': 'uk-label-loss', 'current_price': None, 'profit_loss': -6.9199999999999875, 'profit_loss_pct': -2.7787816728908115, 'qty': 854.0, 'sell_date': datetime.datetime(2026, 2, 3, 14, 56, 52, 712717, tzinfo=datetime.timezone.utc), 'sell_price': 0.71, 'sell_reason': 'stop-loss', 'sell_total': 242.11, 'ticker': 'ASST'}, 'BBAI': {'buy_date': datetime.datetime(2026, 2, 3, 13, 30, 30, 706598, tzinfo=datetime.timezone.utc), 'buy_price': 4.87, 'buy_reason': 'recommend', 'buy_total': 618.49, 'css_class': 'uk-label-loss', 'current_price': None, 'profit_loss': -16.50999999999999, 'profit_loss_pct': -2.6694045174537973, 'qty': 127.0, 'sell_date': datetime.datetime(2026, 2, 3, 14, 34, 32, 43699, tzinfo=datetime.timezone.utc), 'sell_price': 4.74, 'sell_reason': 'stop-loss', 'sell_total': 601.98, 'ticker': 'BBAI'}, 'BITF': {'buy_date': datetime.datetime(2026, 2, 3, 13, 30, 36, 66083, tzinfo=datetime.timezone.utc), 'buy_price': 2.32, 'buy_reason': 'recommend', 'buy_total': 266.8, 'css_class': 'uk-label-loss', 'current_price': None, 'profit_loss': -6.900000000000034, 'profit_loss_pct': -2.586206896551737, 'qty': 259.0, 'sell_date': datetime.datetime(2026, 2, 3, 14, 37, 35, 650742, tzinfo=datetime.timezone.utc), 'sell_price': 2.26, 'sell_reason': 'stop-loss', 'sell_total': 259.9, 'ticker': 'BITF'}, 'BTG': {'buy_date': datetime.datetime(2026, 2, 3, 13, 30, 35, 427754, tzinfo=datetime.timezone.utc), 'buy_price': 5.1, 'buy_reason': 'recommend', 'buy_total': 591.6, 'css_class': 'uk-label-loss', 'current_price': None, 'profit_loss': -15.080000000000041, 'profit_loss_pct': -2.549019607843144, 'qty': 116.0, 'sell_date': datetime.datetime(2026, 2, 3, 15, 13, 4, 700784, tzinfo=datetime.timezone.utc), 'sell_price': 4.97, 'sell_reason': 'stop-loss', 'sell_total': 576.52, 'ticker': 'BTG'}, 'BZAI': {'buy_date': datetime.datetime(2026, 2, 3, 13, 30, 29, 572927, tzinfo=datetime.timezone.utc), 'buy_price': 1.27, 'buy_reason': 'recommend', 'buy_total': 100.33, 'css_class': 'uk-label-gain', 'current_price': None, 'profit_loss': 3.1599999999999966, 'profit_loss_pct': 3.149606299212595, 'qty': 508.0, 'sell_date': datetime.datetime(2026, 2, 3, 15, 0, 55, 755893, tzinfo=datetime.timezone.utc), 'sell_price': 1.31, 'sell_reason': 'profit: trailing stop-loss', 'sell_total': 103.49, 'ticker': 'BZAI'}, 'CISS': {'buy_date': datetime.datetime(2026, 2, 3, 13, 30, 36, 277190, tzinfo=datetime.timezone.utc), 'buy_price': 1.64, 'buy_reason': 'recommend', 'buy_total': 593.68, 'css_class': 'uk-label-gain', 'current_price': None, 'profit_loss': 50.680000000000064, 'profit_loss_pct': 8.53658536585367, 'qty': 362.0, 'sell_date': datetime.datetime(2026, 2, 3, 14, 50, 47, 844990, tzinfo=datetime.timezone.utc), 'sell_price': 1.78, 'sell_reason': 'profit: trailing stop-loss', 'sell_total': 644.36, 'ticker': 'CISS'}, 'DVLT': {'buy_date': datetime.datetime(2026, 2, 3, 13, 30, 37, 550435, tzinfo=datetime.timezone.utc), 'buy_price': 0.66, 'buy_reason': 'recommend', 'buy_total': 584.67, 'css_class': 'uk-label-gain', 'current_price': None, 'profit_loss': 23.129999999999995, 'profit_loss_pct': 3.9560777874698543, 'qty': 886.0, 'sell_date': datetime.datetime(2026, 2, 3, 15, 21, 9, 480071, tzinfo=datetime.timezone.utc), 'sell_price': 0.69, 'sell_reason': 'profit: trailing stop-loss', 'sell_total': 607.8, 'ticker': 'DVLT'}, 'GCTS': {'buy_date': datetime.datetime(2026, 2, 3, 13, 30, 30, 254630, tzinfo=datetime.timezone.utc), 'buy_price': 1.18, 'buy_reason': 'recommend', 'buy_total': 9.44, 'css_class': 'uk-label-gain', 'current_price': None, 'profit_loss': 0.3200000000000003, 'profit_loss_pct': 3.3898305084745797, 'qty': 539.0, 'sell_date': datetime.datetime(2026, 2, 3, 14, 40, 38, 616643, tzinfo=datetime.timezone.utc), 'sell_price': 1.22, 'sell_reason': 'profit: trailing stop-loss', 'sell_total': 9.76, 'ticker': 'GCTS'}, 'IMUX': {'buy_date': datetime.datetime(2026, 2, 3, 13, 30, 35, 4878, tzinfo=datetime.timezone.utc), 'buy_price': 0.67, 'buy_reason': 'recommend', 'buy_total': 605.59, 'css_class': 'uk-label-loss', 'current_price': None, 'profit_loss': -17.99000000000001, 'profit_loss_pct': -2.9706567149391514, 'qty': 904.0, 'sell_date': datetime.datetime(2026, 2, 3, 14, 32, 29, 745155, tzinfo=datetime.timezone.utc), 'sell_price': 0.65, 'sell_reason': 'stop-loss', 'sell_total': 587.6, 'ticker': 'IMUX'}, 'NAK': {'buy_date': datetime.datetime(2026, 2, 3, 13, 30, 29, 356423, tzinfo=datetime.timezone.utc), 'buy_price': 2.14, 'buy_reason': 'recommend', 'buy_total': 147.66, 'css_class': 'uk-label-loss', 'current_price': None, 'profit_loss': -4.139999999999986, 'profit_loss_pct': -2.8037383177570003, 'qty': 302.0, 'sell_date': datetime.datetime(2026, 2, 4, 14, 53, 7, 127429, tzinfo=datetime.timezone.utc), 'sell_price': 2.08, 'sell_reason': 'stop-loss', 'sell_total': 143.52, 'ticker': 'NAK'}, 'SLS': {'buy_date': datetime.datetime(2026, 2, 3, 13, 30, 31, 572400, tzinfo=datetime.timezone.utc), 'buy_price': 3.99, 'buy_reason': 'recommend', 'buy_total': 614.46, 'css_class': 'uk-label-gain', 'current_price': None, 'profit_loss': 20.019999999999982, 'profit_loss_pct': 3.2581453634085182, 'qty': 154.0, 'sell_date': datetime.datetime(2026, 2, 3, 15, 28, 12, 580166, tzinfo=datetime.timezone.utc), 'sell_price': 4.12, 'sell_reason': 'profit: trailing stop-loss', 'sell_total': 634.48, 'ticker': 'SLS'}}, 722: {'ASST': {'buy_date': datetime.datetime(2026, 2, 4, 13, 30, 20, 991737, tzinfo=datetime.timezone.utc), 'buy_price': 0.65, 'buy_reason': 'recommend', 'buy_total': 1160.54, 'css_class': 'uk-label-loss', 'current_price': None, 'profit_loss': -51.07999999999993, 'profit_loss_pct': -4.401399348579103, 'qty': 1786.0, 'sell_date': datetime.datetime(2026, 2, 4, 14, 32, 56, 228332, tzinfo=datetime.timezone.utc), 'sell_price': 0.62, 'sell_reason': 'stop-loss', 'sell_total': 1109.46, 'ticker': 'ASST'}, 'BDN': {'buy_date': datetime.datetime(2026, 2, 4, 13, 30, 25, 507142, tzinfo=datetime.timezone.utc), 'buy_price': 2.97, 'buy_reason': 'recommend', 'buy_total': 537.57, 'css_class': 'uk-label-loss', 'current_price': None, 'profit_loss': -12.670000000000073, 'profit_loss_pct': -2.35690235690237, 'qty': 350.0, 'sell_date': datetime.datetime(2026, 2, 4, 14, 32, 56, 522686, tzinfo=datetime.timezone.utc), 'sell_price': 2.9, 'sell_reason': 'stop-loss', 'sell_total': 524.9, 'ticker': 'BDN'}, 'CTM': {'buy_date': datetime.datetime(2026, 2, 4, 13, 30, 24, 9370, tzinfo=datetime.timezone.utc), 'buy_price': 0.91, 'buy_reason': 'recommend', 'buy_total': 503.17, 'css_class': 'uk-label-loss', 'current_price': None, 'profit_loss': -11.0, 'profit_loss_pct': -2.1861398732038873, 'qty': 1191.0, 'sell_date': datetime.datetime(2026, 2, 4, 14, 33, 57, 212522, tzinfo=datetime.timezone.utc), 'sell_price': 0.89, 'sell_reason': 'stop-loss', 'sell_total': 492.17, 'ticker': 'CTM'}, 'MBOT': {'buy_date': datetime.datetime(2026, 2, 4, 13, 30, 24, 442295, tzinfo=datetime.timezone.utc), 'buy_price': 1.82, 'buy_reason': 'recommend', 'buy_total': 1061.06, 'css_class': 'uk-label-loss', 'current_price': None, 'profit_loss': -29.149999999999864, 'profit_loss_pct': -2.7472527472527344, 'qty': 583.0, 'sell_date': datetime.datetime(2026, 2, 4, 14, 43, 2, 40201, tzinfo=datetime.timezone.utc), 'sell_price': 1.77, 'sell_reason': 'stop-loss', 'sell_total': 1031.91, 'ticker': 'MBOT'}, 'VGZ': {'buy_date': datetime.datetime(2026, 2, 4, 13, 30, 25, 295771, tzinfo=datetime.timezone.utc), 'buy_price': 2.65, 'buy_reason': 'recommend', 'buy_total': 673.1, 'css_class': 'uk-label-loss', 'current_price': None, 'profit_loss': -15.25, 'profit_loss_pct': -2.265636606744912, 'qty': 390.0, 'sell_date': datetime.datetime(2026, 2, 4, 14, 52, 6, 929803, tzinfo=datetime.timezone.utc), 'sell_price': 2.59, 'sell_reason': 'stop-loss', 'sell_total': 657.85, 'ticker': 'VGZ'}}, 725: {'AMBP': {'buy_date': datetime.datetime(2026, 2, 5, 13, 30, 48, 352315, tzinfo=datetime.timezone.utc), 'buy_price': 4.85, 'buy_reason': 'recommend', 'buy_total': 708.1, 'css_class': 'uk-label-losing', 'current_price': 4.81, 'profit_loss': -0.040000000000000036, 'profit_loss_pct': -0.8247422680412378, 'qty': 229.0, 'sell_date': None, 'sell_price': 0, 'sell_reason': None, 'sell_total': 0, 'ticker': 'AMBP'}, 'BITF': {'buy_date': datetime.datetime(2026, 2, 5, 13, 30, 52, 401143, tzinfo=datetime.timezone.utc), 'buy_price': 1.96, 'buy_reason': 'recommend', 'buy_total': 199.92, 'css_class': 'uk-label-loss', 'current_price': None, 'profit_loss': -5.099999999999994, 'profit_loss_pct': -2.5510204081632626, 'qty': 546.0, 'sell_date': datetime.datetime(2026, 2, 5, 14, 34, 23, 553776, tzinfo=datetime.timezone.utc), 'sell_price': 1.91, 'sell_reason': 'stop-loss', 'sell_total': 194.82, 'ticker': 'BITF'}, 'DHX': {'buy_date': datetime.datetime(2026, 2, 5, 13, 30, 47, 872781, tzinfo=datetime.timezone.utc), 'buy_price': 2.11, 'buy_reason': 'recommend', 'buy_total': 1185.82, 'css_class': 'uk-label-loss', 'current_price': None, 'profit_loss': -54.159999999999854, 'profit_loss_pct': -4.56730363798889, 'qty': 562.0, 'sell_date': datetime.datetime(2026, 2, 5, 14, 32, 22, 365922, tzinfo=datetime.timezone.utc), 'sell_price': 2.01, 'sell_reason': 'stop-loss', 'sell_total': 1131.66, 'ticker': 'DHX'}, 'EVTV': {'buy_date': datetime.datetime(2026, 2, 5, 13, 30, 50, 83661, tzinfo=datetime.timezone.utc), 'buy_price': 2.12, 'buy_reason': 'recommend', 'buy_total': 563.92, 'css_class': 'uk-label-loss', 'current_price': None, 'profit_loss': -15.959999999999923, 'profit_loss_pct': -2.8301886792452695, 'qty': 512.0, 'sell_date': datetime.datetime(2026, 2, 5, 14, 35, 24, 473549, tzinfo=datetime.timezone.utc), 'sell_price': 2.06, 'sell_reason': 'stop-loss', 'sell_total': 547.96, 'ticker': 'EVTV'}, 'PSEC': {'buy_date': datetime.datetime(2026, 2, 5, 13, 30, 50, 292272, tzinfo=datetime.timezone.utc), 'buy_price': 2.72, 'buy_reason': 'recommend', 'buy_total': 957.44, 'css_class': 'uk-label-loss', 'current_price': None, 'profit_loss': -21.120000000000005, 'profit_loss_pct': -2.205882352941177, 'qty': 395.0, 'sell_date': datetime.datetime(2026, 2, 5, 14, 58, 33, 833197, tzinfo=datetime.timezone.utc), 'sell_price': 2.66, 'sell_reason': 'stop-loss', 'sell_total': 936.32, 'ticker': 'PSEC'}}}, 'panel': 'performance', 'picklist_results': '<<queryset of core.TradeBasketPick>>', 'trade_baskets': '<<queryset of core.TradeBasket>>', 'trade_bot': <TradeBot: 1.1.0 Binned Random Forrest 3d PH 3%>} {'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: 'xDd1I8Hula7lHsSLncwblbIkcYXrmLTwTIjLoUfyWFlig7gmCTNfEc3mL58zc64f'>}
django.template.context_processors.debug: Toggle context
{}
django.template.context_processors.request: Toggle context
{'request': <WSGIRequest: GET '/trade/bot/55'>}
django.contrib.auth.context_processors.auth: Toggle context
{'user': <SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7fa6ff1654e0>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7fa6ff1654e0>>)}
django.contrib.messages.context_processors.messages: Toggle context
{'messages': <FallbackStorage: request=<WSGIRequest: GET '/trade/bot/55'>>, '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

Trading Bot: 1.1.0 Binned Random Forrest 3d PH 3%

Details

Basket Performance

Pick List

Matching Picks

Versions

Time

Resource usage

Browser timing

Settings from app.settings

Headers

Request headers

Response headers

WSGI environ

Request

View information

No 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 (5 rendered)

Template path

Templates

Context processors

Cache calls from 1 backend

Summary

Commands

Signals

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
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