Date	# Tests	# Pass	# Fail	Win Rate	Hit Rate	% Perf
2025-03-14	636	556	80	87.42 %	97.96 %	9.69 %
2025-03-13	557	422	135	75.76 %	91.38 %	7.56 %
2025-03-03	707	382	325	54.03 %	88.97 %	4.88 %
2025-02-28	544	433	111	79.60 %	94.85 %	7.28 %
2025-02-26	448	339	109	75.67 %	95.54 %	6.60 %
2025-02-24	789	393	396	49.81 %	83.02 %	4.19 %
2025-02-19	679	463	216	68.19 %	92.64 %	7.39 %
2025-02-18	1,022	712	310	69.67 %	93.25 %	6.78 %
2025-02-04	622	562	60	90.35 %	98.55 %	9.46 %
2025-01-29	568	437	131	76.94 %	93.66 %	8.23 %
2025-01-22	490	349	141	71.22 %	94.69 %	8.67 %
2025-01-15	606	470	136	77.56 %	96.04 %	9.09 %
2025-01-14	530	436	94	82.26 %	95.66 %	8.89 %
2025-01-07	504	307	197	60.91 %	92.26 %	6.51 %
2024-12-30	816	667	149	81.74 %	96.45 %	11.14 %
2024-12-26	716	592	124	82.68 %	98.04 %	18.28 %
2024-12-23	894	683	211	76.40 %	94.41 %	12.07 %
2024-12-17	655	438	217	66.87 %	93.44 %	8.72 %
2024-12-16	913	667	246	73.06 %	93.43 %	9.74 %
2024-12-11	639	372	267	58.22 %	88.58 %	5.02 %
2024-12-03	635	400	235	62.99 %	90.87 %	7.56 %
2024-12-02	844	571	273	67.65 %	91.71 %	7.35 %
2024-11-25	828	654	174	78.99 %	96.26 %	8.49 %
2024-11-22	732	642	90	87.70 %	98.09 %	12.75 %
2024-11-19	713	598	115	83.87 %	96.35 %	10.89 %
2024-11-13	768	474	294	61.72 %	88.67 %	6.15 %
2024-11-07	684	534	150	78.07 %	94.59 %	10.12 %
2024-10-28	781	619	162	79.26 %	96.93 %	7.75 %
2024-10-08	567	385	182	67.90 %	92.95 %	6.07 %
2024-10-07	776	457	319	58.89 %	90.34 %	5.53 %

DJDT

Versions

Package	Name	Version
Django		5.0.3
Python		3.11.8
coverage	Coverage	7.4.4
debug_toolbar	Debug Toolbar	4.3.0
django_extensions	Django Extensions	3.2.3
grappelli	Grappelli	3.0.8

Time

Resource usage

Resource	Value
User CPU time	177.714 msec
System CPU time	8.443 msec
Total CPU time	186.157 msec
Elapsed time	1417.951 msec
Context switches	11 voluntary, 3 involuntary

Browser timing

Timing attribute	Timeline	Milliseconds since navigation start (+length)
domainLookup		65 (+52)
connect		117 (+107)
request		224 (+1797)
response		1808 (+213)
domLoading		1829 (+-1743883805807)
domInteractive		2450
domContentLoadedEvent		2450 (+9)
loadEvent		-1743883803978 (+0)

Settings from app.settings

Setting	Value
ABSOLUTE_URL_OVERRIDES	`{}`
ADMINS	`[]`
ALLOWED_HOSTS	`['*']`
ALPACA_API	`'********************'`
APPEND_SLASH	`True`
AUTH0_CLIENT_ID	`None`
AUTH0_CLIENT_SECRET	`'********************'`
AUTH0_DOMAIN	`None`
AUTHENTICATION_BACKENDS	`['django.contrib.auth.backends.ModelBackend']`
AUTH_PASSWORD_VALIDATORS	`'********************'`
AUTH_USER_MODEL	`'auth.User'`
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': True, 'CONN_MAX_AGE': 600, 'ENGINE': 'django.db.backends.postgresql', 'HOST': '34.125.28.12', 'NAME': 'pennyloupe', 'OPTIONS': {'sslmode': 'require'}, 'PASSWORD': '********************', 'PORT': 5432, 'TEST': {'CHARSET': None, 'COLLATION': None, 'MIGRATE': True, 'MIRROR': None, 'NAME': None}, '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 0x7f8df9cffec0>}`
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_FILE_STORAGE	`'django.core.files.storage.FileSystemStorage'`
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'`
GRAPPELLI_ADMIN_TITLE	`'Penny Loupe'`
GRAPPELLI_AUTOCOMPLETE_SEARCH_FIELDS	`{'auth': {'user': ('id__iexact', 'username__icontains')}}`
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'`
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']`
STATICFILES_STORAGE	`'django.contrib.staticfiles.storage.StaticFilesStorage'`
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	text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,/;q=0.8,application/signed-exchange;v=b3;q=0.7
Accept-Encoding	gzip, deflate, br, zstd
Cache-Control	no-cache
Connection	keep-alive
Host	pennyloupe.com
Pragma	no-cache
Sec-Ch-Ua	"HeadlessChrome";v="129", "Not=A?Brand";v="8", "Chromium";v="129"
Sec-Ch-Ua-Mobile	?0
Sec-Ch-Ua-Platform	"Windows"
Sec-Fetch-Dest	document
Sec-Fetch-Mode	navigate
Sec-Fetch-Site	none
Sec-Fetch-User	?1
Upgrade-Insecure-Requests	1
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	/model/54
QUERY_STRING
REMOTE_ADDR	3.17.66.55
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.model_detail`	`()`	`{'id': 54}`	`model_detail`

No cookies

No session data

No GET data

No POST data

SQL queries from 1 connection

default 1231.96 ms (5 queries )

	Query		Timeline	Time (ms)	Action
		SELECT "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_model" WHERE "pl_model"."id" = 54 LIMIT 21SELECT ••• FROM "pl_model" WHERE "pl_model"."id" = 54 LIMIT 21		1.81
		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 model_detail(680) model = Model.objects.get(pk=id)
		SELECT "pl_model_metrics"."created_dt", "pl_model_metrics"."updated_dt", "pl_model_metrics"."status_id", "pl_model_metrics"."id", "pl_model_metrics"."date", "pl_model_metrics"."metrics", "pl_model_metrics"."identifier", "pl_model_metrics"."model_id" FROM "pl_model_metrics" WHERE ("pl_model_metrics"."model_id" = 54 AND "pl_model_metrics"."status_id" = 10 AND "pl_model_metrics"."date" >= '2024-10-07'::date AND "pl_model_metrics"."date" <= '2025-04-05'::date) ORDER BY "pl_model_metrics"."date" DESCSELECT ••• FROM "pl_model_metrics" WHERE ("pl_model_metrics"."model_id" = 54 AND "pl_model_metrics"."status_id" = 10 AND "pl_model_metrics"."date" >= '2024-10-07'::date AND "pl_model_metrics"."date" <= '2025-04-05'::date) ORDER BY "pl_model_metrics"."date" DESC		57.85
		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 model_detail(750) if metrics:
		SELECT "pl_model_test"."pick_date" AS "date", COUNT("pl_model_test"."id") FILTER (WHERE "pl_model_test"."result") AS "pass_count", COUNT("pl_model_test"."id") FILTER (WHERE NOT "pl_model_test"."result") AS "fail_count", COUNT("pl_model_test"."id") AS "total_count", COUNT("pl_model_test"."id") FILTER (WHERE (("pl_model_test"."meta" -> 'buy_price') IS NOT NULL AND ("pl_model_test"."meta" -> 'sell_price') > ("pl_model_test"."meta" -> 'buy_price') AND ("pl_model_test"."meta" -> 'sell_price') IS NOT NULL)) AS "hit_count", CASE WHEN COUNT("pl_model_test"."id") = 0 THEN 0.0 ELSE ((COUNT("pl_model_test"."id") FILTER (WHERE "pl_model_test"."result") * 100.0) / COUNT("pl_model_test"."id")) END AS "win_rate", CASE WHEN COUNT("pl_model_test"."id") = 0 THEN 0.0 ELSE ((COUNT("pl_model_test"."id") FILTER (WHERE (("pl_model_test"."meta" -> 'buy_price') IS NOT NULL AND ("pl_model_test"."meta" -> 'sell_price') > ("pl_model_test"."meta" -> 'buy_price') AND ("pl_model_test"."meta" -> 'sell_price') IS NOT NULL)) * 100.0) / COUNT("pl_model_test"."id")) END AS "hit_rate", AVG(((100 * ((("pl_model_test"."meta" -> 'sell_price'))::double precision - (("pl_model_test"."meta" -> 'buy_price'))::double precision)) / (("pl_model_test"."meta" -> 'buy_price'))::double precision)) AS "avg_performance" FROM "pl_model_test" WHERE ("pl_model_test"."model_id" = 54 AND "pl_model_test"."status_id" = 10 AND "pl_model_test"."pick_date" >= '2024-10-07'::date AND "pl_model_test"."pick_date" <= '2025-04-05'::date) GROUP BY 1 ORDER BY "pl_model_test"."pick_date" DESCSELECT ••• FROM "pl_model_test" WHERE ("pl_model_test"."model_id" = 54 AND "pl_model_test"."status_id" = 10 AND "pl_model_test"."pick_date" >= '2024-10-07'::date AND "pl_model_test"."pick_date" <= '2025-04-05'::date) GROUP BY 1 ORDER BY "pl_model_test"."pick_date" DESC		940.29
		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 model_detail(782) for n, p in enumerate(performance_data):
		SELECT DATE_TRUNC('week', "pl_model_test"."pick_date") AS "week", CASE WHEN ("pl_model_test"."probability" >= 0.0 AND "pl_model_test"."probability" <= 0.1) THEN 0.1 WHEN ("pl_model_test"."probability" > 0.1 AND "pl_model_test"."probability" <= 0.2) THEN 0.2 WHEN ("pl_model_test"."probability" > 0.2 AND "pl_model_test"."probability" <= 0.3) THEN 0.3 WHEN ("pl_model_test"."probability" > 0.3 AND "pl_model_test"."probability" <= 0.4) THEN 0.4 WHEN ("pl_model_test"."probability" > 0.4 AND "pl_model_test"."probability" <= 0.5) THEN 0.5 WHEN ("pl_model_test"."probability" > 0.5 AND "pl_model_test"."probability" <= 0.6) THEN 0.6 WHEN ("pl_model_test"."probability" > 0.6 AND "pl_model_test"."probability" <= 0.7) THEN 0.7 WHEN ("pl_model_test"."probability" > 0.7 AND "pl_model_test"."probability" <= 0.8) THEN 0.8 WHEN ("pl_model_test"."probability" > 0.8 AND "pl_model_test"."probability" <= 0.9) THEN 0.9 WHEN ("pl_model_test"."probability" > 0.9 AND "pl_model_test"."probability" <= 1.0) THEN 1.0 ELSE NULL END AS "bin", COUNT("pl_model_test"."id") AS "total_count", COUNT("pl_model_test"."id") FILTER (WHERE (("pl_model_test"."meta" -> 'buy_price') IS NOT NULL AND ("pl_model_test"."meta" -> 'sell_price') > ("pl_model_test"."meta" -> 'buy_price') AND ("pl_model_test"."meta" -> 'sell_price') IS NOT NULL)) AS "hit_count", COUNT("pl_model_test"."id") FILTER (WHERE "pl_model_test"."result") AS "win_count", AVG(((100 * ((("pl_model_test"."meta" -> 'sell_price'))::double precision - (("pl_model_test"."meta" -> 'buy_price'))::double precision)) / (("pl_model_test"."meta" -> 'buy_price'))::double precision)) AS "avg_performance", CASE WHEN COUNT("pl_model_test"."id") = 0 THEN 0.0 ELSE ((COUNT("pl_model_test"."id") FILTER (WHERE (("pl_model_test"."meta" -> 'buy_price') IS NOT NULL AND ("pl_model_test"."meta" -> 'sell_price') > ("pl_model_test"."meta" -> 'buy_price') AND ("pl_model_test"."meta" -> 'sell_price') IS NOT NULL)) * 100.0) / COUNT("pl_model_test"."id")) END AS "hit_rate", CASE WHEN COUNT("pl_model_test"."id") = 0 THEN 0.0 ELSE ((COUNT("pl_model_test"."id") FILTER (WHERE "pl_model_test"."result") * 100.0) / COUNT("pl_model_test"."id")) END AS "win_rate", COUNT("pl_model_test"."id") AS "count" FROM "pl_model_test" WHERE ("pl_model_test"."model_id" = 54 AND "pl_model_test"."status_id" = 10 AND "pl_model_test"."pick_date" >= '2024-10-07'::date AND "pl_model_test"."pick_date" <= '2025-04-05'::date) GROUP BY 1, 2 ORDER BY 1 ASC, 2 ASCSELECT ••• FROM "pl_model_test" WHERE ("pl_model_test"."model_id" = 54 AND "pl_model_test"."status_id" = 10 AND "pl_model_test"."pick_date" >= '2024-10-07'::date AND "pl_model_test"."pick_date" <= '2025-04-05'::date) GROUP BY 1, 2 ORDER BY 1 ASC, 2 ASC		120.63
		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 model_detail(981) for entry in curve_data_weekly:
		SELECT CASE WHEN ("pl_model_test"."probability" >= 0.0 AND "pl_model_test"."probability" <= 0.1) THEN 0.1 WHEN ("pl_model_test"."probability" > 0.1 AND "pl_model_test"."probability" <= 0.2) THEN 0.2 WHEN ("pl_model_test"."probability" > 0.2 AND "pl_model_test"."probability" <= 0.3) THEN 0.3 WHEN ("pl_model_test"."probability" > 0.3 AND "pl_model_test"."probability" <= 0.4) THEN 0.4 WHEN ("pl_model_test"."probability" > 0.4 AND "pl_model_test"."probability" <= 0.5) THEN 0.5 WHEN ("pl_model_test"."probability" > 0.5 AND "pl_model_test"."probability" <= 0.6) THEN 0.6 WHEN ("pl_model_test"."probability" > 0.6 AND "pl_model_test"."probability" <= 0.7) THEN 0.7 WHEN ("pl_model_test"."probability" > 0.7 AND "pl_model_test"."probability" <= 0.8) THEN 0.8 WHEN ("pl_model_test"."probability" > 0.8 AND "pl_model_test"."probability" <= 0.9) THEN 0.9 WHEN ("pl_model_test"."probability" > 0.9 AND "pl_model_test"."probability" <= 1.0) THEN 1.0 ELSE NULL END AS "bin", COUNT("pl_model_test"."id") AS "total_count", COUNT("pl_model_test"."id") FILTER (WHERE (("pl_model_test"."meta" -> 'buy_price') IS NOT NULL AND ("pl_model_test"."meta" -> 'sell_price') > ("pl_model_test"."meta" -> 'buy_price') AND ("pl_model_test"."meta" -> 'sell_price') IS NOT NULL)) AS "hit_count", COUNT("pl_model_test"."id") FILTER (WHERE "pl_model_test"."result") AS "win_count", AVG(((100 * ((("pl_model_test"."meta" -> 'sell_price'))::double precision - (("pl_model_test"."meta" -> 'buy_price'))::double precision)) / (("pl_model_test"."meta" -> 'buy_price'))::double precision)) AS "avg_performance", CASE WHEN COUNT("pl_model_test"."id") = 0 THEN 0.0 ELSE ((COUNT("pl_model_test"."id") FILTER (WHERE (("pl_model_test"."meta" -> 'buy_price') IS NOT NULL AND ("pl_model_test"."meta" -> 'sell_price') > ("pl_model_test"."meta" -> 'buy_price') AND ("pl_model_test"."meta" -> 'sell_price') IS NOT NULL)) * 100.0) / COUNT("pl_model_test"."id")) END AS "hit_rate", CASE WHEN COUNT("pl_model_test"."id") = 0 THEN 0.0 ELSE ((COUNT("pl_model_test"."id") FILTER (WHERE "pl_model_test"."result") * 100.0) / COUNT("pl_model_test"."id")) END AS "win_rate", COUNT("pl_model_test"."id") AS "count" FROM "pl_model_test" WHERE ("pl_model_test"."model_id" = 54 AND "pl_model_test"."status_id" = 10 AND "pl_model_test"."pick_date" >= '2024-10-07'::date AND "pl_model_test"."pick_date" <= '2025-04-05'::date) GROUP BY 1 ORDER BY 1 ASCSELECT ••• FROM "pl_model_test" WHERE ("pl_model_test"."model_id" = 54 AND "pl_model_test"."status_id" = 10 AND "pl_model_test"."pick_date" >= '2024-10-07'::date AND "pl_model_test"."pick_date" <= '2025-04-05'::date) GROUP BY 1 ORDER BY 1 ASC		111.38
		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 model_detail(1004) "curve_data": list(curve_data),

Static files (717 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 (717 files)

Templates (37 rendered)

Template path

templates

Templates

model_detail.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/model_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: ' "'2wIvffj0jELVNpud4ku36Owfn9geIHLUiwVMdQhN46n3XV7VhDY2Z6ESIMNVTln2'>", 'messages': <FallbackStorage: request=<WSGIRequest: GET '/model/54'>>, 'perms': PermWrapper(<SimpleLazyObject: <django.contrib.auth.models.AnonymousUser object at 0x7f8de8858bd0>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <django.contrib.auth.models.AnonymousUser object ' 'at 0x7f8de8858bd0>>'} {'curve_data': [{'avg_performance': 0.9641321085328886, 'bin': 0.4, 'count': 2, 'hit_count': 2, 'hit_rate': 100.0, 'total_count': 2, 'win_count': 0, 'win_rate': 0.0}, {'avg_performance': 2.2292204959132125, 'bin': 0.5, 'count': 4, 'hit_count': 4, 'hit_rate': 100.0, 'total_count': 4, 'win_count': 2, 'win_rate': 50.0}, {'avg_performance': 3.7686100553554973, 'bin': 0.6, 'count': 12, 'hit_count': 12, 'hit_rate': 100.0, 'total_count': 12, 'win_count': 7, 'win_rate': 58.333333333333336}, {'avg_performance': 7.914791436539116, 'bin': 0.7, 'count': 23, 'hit_count': 22, 'hit_rate': 95.65217391304348, 'total_count': 23, 'win_count': 14, 'win_rate': 60.869565217391305}, {'avg_performance': 7.408860748352586, 'bin': 0.8, 'count': 167, 'hit_count': 159, 'hit_rate': 95.20958083832335, 'total_count': 167, 'win_count': 98, 'win_rate': 58.68263473053892}, {'avg_performance': 7.280943483103977, 'bin': 0.9, 'count': 6549, 'hit_count': 6121, 'hit_rate': 93.46465109176974, 'total_count': 6549, 'win_count': 4491, 'win_rate': 68.57535501603299}, {'avg_performance': 9.094658142524892, 'bin': 1.0, 'count': 13906, 'hit_count': 13015, 'hit_rate': 93.59269380123688, 'total_count': 13906, 'win_count': 10402, 'win_rate': 74.80224363584064}], 'curve_data_by_week': {'2024-10-07': [{'avg_performance': 0.3105590062111735, 'bin': 0.7, 'count': 1, 'hit_count': 1, 'hit_rate': 100.0, 'total_count': 1, 'week': '2024-10-07', 'win_count': 0, 'win_rate': 0.0}, {'avg_performance': 3.777701003342625, 'bin': 0.8, 'count': 9, 'hit_count': 9, 'hit_rate': 100.0, 'total_count': 9, 'week': '2024-10-07', 'win_count': 3, 'win_rate': 33.333333333333336}, {'avg_performance': 3.953782016109056, 'bin': 0.9, 'count': 413, 'hit_count': 374, 'hit_rate': 90.55690072639226, 'total_count': 413, 'week': '2024-10-07', 'win_count': 218, 'win_rate': 52.78450363196126}, {'avg_performance': 6.593562511632707, 'bin': 1.0, 'count': 920, 'hit_count': 844, 'hit_rate': 91.73913043478261, 'total_count': 920, 'week': '2024-10-07', 'win_count': 621, 'win_rate': 67.5}], '2024-10-28': [{'avg_performance': 29.131604486321162, 'bin': 0.7, 'count': 2, 'hit_count': 2, 'hit_rate': 100.0, 'total_count': 2, 'week': '2024-10-28', 'win_count': 2, 'win_rate': 100.0}, {'avg_performance': 3.8621679715305337, 'bin': 0.8, 'count': 8, 'hit_count': 7, 'hit_rate': 87.5, 'total_count': 8, 'week': '2024-10-28', 'win_count': 5, 'win_rate': 62.5}, {'avg_performance': 6.853897461908112, 'bin': 0.9, 'count': 257, 'hit_count': 253, 'hit_rate': 98.44357976653697, 'total_count': 257, 'week': '2024-10-28', 'win_count': 198, 'win_rate': 77.04280155642023}, {'avg_performance': 8.176248323779935, 'bin': 1.0, 'count': 514, 'hit_count': 495, 'hit_rate': 96.3035019455253, 'total_count': 514, 'week': '2024-10-28', 'win_count': 414, 'win_rate': 80.54474708171206}], '2024-11-04': [{'avg_performance': 9.31397274528088, 'bin': 0.8, 'count': 7, 'hit_count': 7, 'hit_rate': 100.0, 'total_count': 7, 'week': '2024-11-04', 'win_count': 5, 'win_rate': 71.42857142857143}, {'avg_performance': 9.74129748730993, 'bin': 0.9, 'count': 280, 'hit_count': 264, 'hit_rate': 94.28571428571429, 'total_count': 280, 'week': '2024-11-04', 'win_count': 216, 'win_rate': 77.14285714285714}, {'avg_performance': 10.395486796679174, 'bin': 1.0, 'count': 397, 'hit_count': 376, 'hit_rate': 94.7103274559194, 'total_count': 397, 'week': '2024-11-04', 'win_count': 313, 'win_rate': 78.84130982367758}], '2024-11-11': [{'avg_performance': 1.7021696252465532, 'bin': 0.6, 'count': 2, 'hit_count': 2, 'hit_rate': 100.0, 'total_count': 2, 'week': '2024-11-11', 'win_count': 1, 'win_rate': 50.0}, {'avg_performance': 34.83356822471865, 'bin': 0.8, 'count': 5, 'hit_count': 5, 'hit_rate': 100.0, 'total_count': 5, 'week': '2024-11-11', 'win_count': 3, 'win_rate': 60.0}, {'avg_performance': 6.434288205709617, 'bin': 0.9, 'count': 246, 'hit_count': 225, 'hit_rate': 91.46341463414635, 'total_count': 246, 'week': '2024-11-11', 'win_count': 154, 'win_rate': 62.60162601626016}, {'avg_performance': 5.753777259205454, 'bin': 1.0, 'count': 515, 'hit_count': 449, 'hit_rate': 87.18446601941747, 'total_count': 515, 'week': '2024-11-11', 'win_count': 316, 'win_rate': 61.359223300970875}], '2024-11-18': [{'avg_performance': 1.764705882352943, 'bin': 0.6, 'count': 1, 'hit_count': 1, 'hit_rate': 100.0, 'total_count': 1, 'week': '2024-11-18', 'win_count': 0, 'win_rate': 0.0}, {'avg_performance': 39.35309973045822, 'bin': 0.7, 'count': 1, 'hit_count': 1, 'hit_rate': 100.0, 'total_count': 1, 'week': '2024-11-18', 'win_count': 1, 'win_rate': 100.0}, {'avg_performance': 24.304417628467878, 'bin': 0.8, 'count': 12, 'hit_count': 12, 'hit_rate': 100.0, 'total_count': 12, 'week': '2024-11-18', 'win_count': 10, 'win_rate': 83.33333333333333}, {'avg_performance': 9.081816940560536, 'bin': 0.9, 'count': 524, 'hit_count': 506, 'hit_rate': 96.56488549618321, 'total_count': 524, 'week': '2024-11-18', 'win_count': 424, 'win_rate': 80.91603053435115}, {'avg_performance': 13.235050407817173, 'bin': 1.0, 'count': 907, 'hit_count': 885, 'hit_rate': 97.57442116868798, 'total_count': 907, 'week': '2024-11-18', 'win_count': 805, 'win_rate': 88.75413450937155}], '2024-11-25': [{'avg_performance': 0.5649717514124374, 'bin': 0.7, 'count': 1, 'hit_count': 1, 'hit_rate': 100.0, 'total_count': 1, 'week': '2024-11-25', 'win_count': 0, 'win_rate': 0.0}, {'avg_performance': 17.54945519618237, 'bin': 0.8, 'count': 6, 'hit_count': 6, 'hit_rate': 100.0, 'total_count': 6, 'week': '2024-11-25', 'win_count': 4, 'win_rate': 66.66666666666667}, {'avg_performance': 7.740677558664149, 'bin': 0.9, 'count': 295, 'hit_count': 278, 'hit_rate': 94.23728813559322, 'total_count': 295, 'week': '2024-11-25', 'win_count': 209, 'win_rate': 70.84745762711864}, {'avg_performance': 8.82823056892888, 'bin': 1.0, 'count': 526, 'hit_count': 512, 'hit_rate': 97.33840304182509, 'total_count': 526, 'week': '2024-11-25', 'win_count': 441, 'win_rate': 83.8403041825095}], '2024-12-02': [{'avg_performance': 0.4288777698356004, 'bin': 0.5, 'count': 1, 'hit_count': 1, 'hit_rate': 100.0, 'total_count': 1, 'week': '2024-12-02', 'win_count': 0, 'win_rate': 0.0}, {'avg_performance': 3.953748601268192, 'bin': 0.7, 'count': 1, 'hit_count': 1, 'hit_rate': 100.0, 'total_count': 1, 'week': '2024-12-02', 'win_count': 1, 'win_rate': 100.0}, {'avg_performance': 3.061914845323536, 'bin': 0.8, 'count': 13, 'hit_count': 13, 'hit_rate': 100.0, 'total_count': 13, 'week': '2024-12-02', 'win_count': 8, 'win_rate': 61.53846153846154}, {'avg_performance': 7.028587935072782, 'bin': 0.9, 'count': 450, 'hit_count': 406, 'hit_rate': 90.22222222222223, 'total_count': 450, 'week': '2024-12-02', 'win_count': 277, 'win_rate': 61.55555555555556}, {'avg_performance': 7.688445884052878, 'bin': 1.0, 'count': 1014, 'hit_count': 930, 'hit_rate': 91.71597633136095, 'total_count': 1014, 'week': '2024-12-02', 'win_count': 685, 'win_rate': 67.55424063116371}], '2024-12-09': [{'avg_performance': 0.5786712054456086, 'bin': 0.8, 'count': 5, 'hit_count': 3, 'hit_rate': 60.0, 'total_count': 5, 'week': '2024-12-09', 'win_count': 1, 'win_rate': 20.0}, {'avg_performance': 4.228293902024862, 'bin': 0.9, 'count': 210, 'hit_count': 189, 'hit_rate': 90.0, 'total_count': 210, 'week': '2024-12-09', 'win_count': 104, 'win_rate': 49.523809523809526}, {'avg_performance': 5.460315683856782, 'bin': 1.0, 'count': 424, 'hit_count': 374, 'hit_rate': 88.20754716981132, 'total_count': 424, 'week': '2024-12-09', 'win_count': 267, 'win_rate': 62.971698113207545}], '2024-12-16': [{'avg_performance': 1.2509887791872978, 'bin': 0.7, 'count': 2, 'hit_count': 2, 'hit_rate': 100.0, 'total_count': 2, 'week': '2024-12-16', 'win_count': 0, 'win_rate': 0.0}, {'avg_performance': 6.905441318663721, 'bin': 0.8, 'count': 4, 'hit_count': 4, 'hit_rate': 100.0, 'total_count': 4, 'week': '2024-12-16', 'win_count': 4, 'win_rate': 100.0}, {'avg_performance': 7.284894302969728, 'bin': 0.9, 'count': 416, 'hit_count': 389, 'hit_rate': 93.50961538461539, 'total_count': 416, 'week': '2024-12-16', 'win_count': 265, 'win_rate': 63.70192307692308}, {'avg_performance': 10.069746563681482, 'bin': 1.0, 'count': 1146, 'hit_count': 1070, 'hit_rate': 93.36823734729494, 'total_count': 1146, 'week': '2024-12-16', 'win_count': 836, 'win_rate': 72.94938917975567}], '2024-12-23': [{'avg_performance': 4.590294300260031, 'bin': 0.8, 'count': 17, 'hit_count': 16, 'hit_rate': 94.11764705882354, 'total_count': 17, 'week': '2024-12-23', 'win_count': 9, 'win_rate': 52.94117647058823}, {'avg_performance': 11.942424221463114, 'bin': 0.9, 'count': 566, 'hit_count': 540, 'hit_rate': 95.40636042402826, 'total_count': 566, 'week': '2024-12-23', 'win_count': 417, 'win_rate': 73.67491166077738}, {'avg_performance': 16.59517166285854, 'bin': 1.0, 'count': 1027, 'hit_count': 990, 'hit_rate': 96.39727361246348, 'total_count': 1027, 'week': '2024-12-23', 'win_count': 849, 'win_rate': 82.66796494644596}], '2024-12-30': [{'avg_performance': 5.569766501584431, 'bin': 0.8, 'count': 5, 'hit_count': 5, 'hit_rate': 100.0, 'total_count': 5, 'week': '2024-12-30', 'win_count': 3, 'win_rate': 60.0}, {'avg_performance': 10.213519262977321, 'bin': 0.9, 'count': 271, 'hit_count': 264, 'hit_rate': 97.41697416974169, 'total_count': 271, 'week': '2024-12-30', 'win_count': 214, 'win_rate': 78.96678966789668}, {'avg_performance': 11.65487757769049, 'bin': 1.0, 'count': 540, 'hit_count': 518, 'hit_rate': 95.92592592592592, 'total_count': 540, 'week': '2024-12-30', 'win_count': 450, 'win_rate': 83.33333333333333}], '2025-01-06': [{'avg_performance': 4.3269230769230695, 'bin': 0.7, 'count': 1, 'hit_count': 1, 'hit_rate': 100.0, 'total_count': 1, 'week': '2025-01-06', 'win_count': 1, 'win_rate': 100.0}, {'avg_performance': 4.2846433435611475, 'bin': 0.8, 'count': 7, 'hit_count': 7, 'hit_rate': 100.0, 'total_count': 7, 'week': '2025-01-06', 'win_count': 3, 'win_rate': 42.857142857142854}, {'avg_performance': 6.584959242494614, 'bin': 0.9, 'count': 164, 'hit_count': 149, 'hit_rate': 90.85365853658537, 'total_count': 164, 'week': '2025-01-06', 'win_count': 96, 'win_rate': 58.53658536585366}, {'avg_performance': 6.533316099551097, 'bin': 1.0, 'count': 332, 'hit_count': 308, 'hit_rate': 92.7710843373494, 'total_count': 332, 'week': '2025-01-06', 'win_count': 207, 'win_rate': 62.34939759036145}], '2025-01-13': [{'avg_performance': 0.974658869395708, 'bin': 0.6, 'count': 1, 'hit_count': 1, 'hit_rate': 100.0, 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components/leftnav.html: /mnt/disks/pennyloupe_disk/pennyloupe/templates/components/leftnav.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.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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components/performance_curve.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/components/performance_curve.html; Toggle context
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'week': '2024-12-23', 'win_count': 9, 'win_rate': 52.94117647058823}, {'avg_performance': 11.942424221463114, 'bin': 0.9, 'count': 566, 'hit_count': 540, 'hit_rate': 95.40636042402826, 'total_count': 566, 'week': '2024-12-23', 'win_count': 417, 'win_rate': 73.67491166077738}, {'avg_performance': 16.59517166285854, 'bin': 1.0, 'count': 1027, 'hit_count': 990, 'hit_rate': 96.39727361246348, 'total_count': 1027, 'week': '2024-12-23', 'win_count': 849, 'win_rate': 82.66796494644596}], '2024-12-30': [{'avg_performance': 5.569766501584431, 'bin': 0.8, 'count': 5, 'hit_count': 5, 'hit_rate': 100.0, 'total_count': 5, 'week': '2024-12-30', 'win_count': 3, 'win_rate': 60.0}, {'avg_performance': 10.213519262977321, 'bin': 0.9, 'count': 271, 'hit_count': 264, 'hit_rate': 97.41697416974169, 'total_count': 271, 'week': '2024-12-30', 'win_count': 214, 'win_rate': 78.96678966789668}, {'avg_performance': 11.65487757769049, 'bin': 1.0, 'count': 540, 'hit_count': 518, 'hit_rate': 95.92592592592592, 'total_count': 540, 'week': '2024-12-30', 'win_count': 450, 'win_rate': 83.33333333333333}], '2025-01-06': [{'avg_performance': 4.3269230769230695, 'bin': 0.7, 'count': 1, 'hit_count': 1, 'hit_rate': 100.0, 'total_count': 1, 'week': '2025-01-06', 'win_count': 1, 'win_rate': 100.0}, {'avg_performance': 4.2846433435611475, 'bin': 0.8, 'count': 7, 'hit_count': 7, 'hit_rate': 100.0, 'total_count': 7, 'week': '2025-01-06', 'win_count': 3, 'win_rate': 42.857142857142854}, {'avg_performance': 6.584959242494614, 'bin': 0.9, 'count': 164, 'hit_count': 149, 'hit_rate': 90.85365853658537, 'total_count': 164, 'week': '2025-01-06', 'win_count': 96, 'win_rate': 58.53658536585366}, {'avg_performance': 6.533316099551097, 'bin': 1.0, 'count': 332, 'hit_count': 308, 'hit_rate': 92.7710843373494, 'total_count': 332, 'week': '2025-01-06', 'win_count': 207, 'win_rate': 62.34939759036145}], '2025-01-13': [{'avg_performance': 0.974658869395708, 'bin': 0.6, 'count': 1, 'hit_count': 1, 'hit_rate': 100.0, 'total_count': 1, 'week': '2025-01-13', 'win_count': 0, 'win_rate': 0.0}, {'avg_performance': 4.649581230865309, 'bin': 0.7, 'count': 4, 'hit_count': 4, 'hit_rate': 100.0, 'total_count': 4, 'week': '2025-01-13', 'win_count': 3, 'win_rate': 75.0}, {'avg_performance': 6.281123305744255, 'bin': 0.8, 'count': 7, 'hit_count': 7, 'hit_rate': 100.0, 'total_count': 7, 'week': '2025-01-13', 'win_count': 7, 'win_rate': 100.0}, {'avg_performance': 7.079814262014689, 'bin': 0.9, 'count': 292, 'hit_count': 278, 'hit_rate': 95.20547945205479, 'total_count': 292, 'week': '2025-01-13', 'win_count': 220, 'win_rate': 75.34246575342466}, {'avg_performance': 9.720312954488518, 'bin': 1.0, 'count': 832, 'hit_count': 799, 'hit_rate': 96.03365384615384, 'total_count': 832, 'week': '2025-01-13', 'win_count': 676, 'win_rate': 81.25}], '2025-01-20': [{'avg_performance': 4.038734713656455, 'bin': 0.8, 'count': 5, 'hit_count': 5, 'hit_rate': 100.0, 'total_count': 5, 'week': '2025-01-20', 'win_count': 2, 'win_rate': 40.0}, {'avg_performance': 6.824695556710181, 'bin': 0.9, 'count': 148, 'hit_count': 140, 'hit_rate': 94.5945945945946, 'total_count': 148, 'week': '2025-01-20', 'win_count': 95, 'win_rate': 64.1891891891892}, {'avg_performance': 9.542901303759244, 'bin': 1.0, 'count': 337, 'hit_count': 319, 'hit_rate': 94.65875370919882, 'total_count': 337, 'week': '2025-01-20', 'win_count': 252, 'win_rate': 74.77744807121661}], '2025-01-27': [{'avg_performance': 0.9823182711198394, 'bin': 0.4, 'count': 1, 'hit_count': 1, 'hit_rate': 100.0, 'total_count': 1, 'week': '2025-01-27', 'win_count': 0, 'win_rate': 0.0}, {'avg_performance': 6.868131868131869, 'bin': 0.6, 'count': 1, 'hit_count': 1, 'hit_rate': 100.0, 'total_count': 1, 'week': '2025-01-27', 'win_count': 1, 'win_rate': 100.0}, {'avg_performance': 1.5624999999999944, 'bin': 0.7, 'count': 1, 'hit_count': 1, 'hit_rate': 100.0, 'total_count': 1, 'week': '2025-01-27', 'win_count': 0, 'win_rate': 0.0}, {'avg_performance': 4.027684396591157, 'bin': 0.8, 'count': 4, 'hit_count': 4, 'hit_rate': 100.0, 'total_count': 4, 'week': '2025-01-27', 'win_count': 4, 'win_rate': 100.0}, {'avg_performance': 7.52816251349586, 'bin': 0.9, 'count': 137, 'hit_count': 130, 'hit_rate': 94.8905109489051, 'total_count': 137, 'week': '2025-01-27', 'win_count': 103, 'win_rate': 75.18248175182482}, {'avg_performance': 8.536181242571292, 'bin': 1.0, 'count': 424, 'hit_count': 395, 'hit_rate': 93.16037735849056, 'total_count': 424, 'week': '2025-01-27', 'win_count': 329, 'win_rate': 77.59433962264151}], '2025-02-03': [{'avg_performance': 9.626160918215007, 'bin': 0.8, 'count': 3, 'hit_count': 3, 'hit_rate': 100.0, 'total_count': 3, 'week': '2025-02-03', 'win_count': 3, 'win_rate': 100.0}, {'avg_performance': 7.725142839857705, 'bin': 0.9, 'count': 158, 'hit_count': 154, 'hit_rate': 97.46835443037975, 'total_count': 158, 'week': '2025-02-03', 'win_count': 137, 'win_rate': 86.70886075949367}, {'avg_performance': 10.053031460480254, 'bin': 1.0, 'count': 461, 'hit_count': 456, 'hit_rate': 98.91540130151844, 'total_count': 461, 'week': '2025-02-03', 'win_count': 422, 'win_rate': 91.54013015184381}], '2025-02-17': [{'avg_performance': 2.829334737939083, 'bin': 0.5, 'count': 3, 'hit_count': 3, 'hit_rate': 100.0, 'total_count': 3, 'week': '2025-02-17', 'win_count': 2, 'win_rate': 66.66666666666667}, {'avg_performance': 6.1642430080296595, 'bin': 0.6, 'count': 4, 'hit_count': 4, 'hit_rate': 100.0, 'total_count': 4, 'week': '2025-02-17', 'win_count': 3, 'win_rate': 75.0}, {'avg_performance': 0.0, 'bin': 0.7, 'count': 1, 'hit_count': 0, 'hit_rate': 0.0, 'total_count': 1, 'week': '2025-02-17', 'win_count': 0, 'win_rate': 0.0}, {'avg_performance': 1.9126888214392472, 'bin': 0.8, 'count': 12, 'hit_count': 12, 'hit_rate': 100.0, 'total_count': 12, 'week': '2025-02-17', 'win_count': 5, 'win_rate': 41.666666666666664}, {'avg_performance': 5.287228792259458, 'bin': 0.9, 'count': 427, 'hit_count': 397, 'hit_rate': 92.97423887587821, 'total_count': 427, 'week': '2025-02-17', 'win_count': 283, 'win_rate': 66.27634660421546}, {'avg_performance': 7.68175975114777, 'bin': 1.0, 'count': 1254, 'hit_count': 1166, 'hit_rate': 92.98245614035088, 'total_count': 1254, 'week': '2025-02-17', 'win_count': 882, 'win_rate': 70.33492822966507}], '2025-02-24': [{'avg_performance': 0.9459459459459377, 'bin': 0.4, 'count': 1, 'hit_count': 1, 'hit_rate': 100.0, 'total_count': 1, 'week': '2025-02-24', 'win_count': 0, 'win_rate': 0.0}, {'avg_performance': 2.5181709205912335, 'bin': 0.6, 'count': 3, 'hit_count': 3, 'hit_rate': 100.0, 'total_count': 3, 'week': '2025-02-24', 'win_count': 2, 'win_rate': 66.66666666666667}, {'avg_performance': 5.023396868590892, 'bin': 0.7, 'count': 4, 'hit_count': 4, 'hit_rate': 100.0, 'total_count': 4, 'week': '2025-02-24', 'win_count': 3, 'win_rate': 75.0}, {'avg_performance': 2.5536525112220487, 'bin': 0.8, 'count': 18, 'hit_count': 14, 'hit_rate': 77.77777777777777, 'total_count': 18, 'week': '2025-02-24', 'win_count': 6, 'win_rate': 33.333333333333336}, {'avg_performance': 5.166133111732155, 'bin': 0.9, 'count': 557, 'hit_count': 501, 'hit_rate': 89.94614003590664, 'total_count': 557, 'week': '2025-02-24', 'win_count': 349, 'win_rate': 62.657091561938955}, {'avg_performance': 6.063916476151778, 'bin': 1.0, 'count': 1198, 'hit_count': 1076, 'hit_rate': 89.81636060100168, 'total_count': 1198, 'week': '2025-02-24', 'win_count': 805, 'win_rate': 67.19532554257096}], '2025-03-03': [{'avg_performance': 3.7401332877712505, 'bin': 0.8, 'count': 11, 'hit_count': 11, 'hit_rate': 100.0, 'total_count': 11, 'week': '2025-03-03', 'win_count': 6, 'win_rate': 54.54545454545455}, {'avg_performance': 3.848717976078449, 'bin': 0.9, 'count': 221, 'hit_count': 193, 'hit_rate': 87.33031674208145, 'total_count': 221, 'week': '2025-03-03', 'win_count': 104, 'win_rate': 47.05882352941177}, {'avg_performance': 5.384375547781203, 'bin': 1.0, 'count': 475, 'hit_count': 425, 'hit_rate': 89.47368421052632, 'total_count': 475, 'week': '2025-03-03', 'win_count': 272, 'win_rate': 57.26315789473684}], '2025-03-10': [{'avg_performance': 8.12782548632121, 'bin': 0.7, 'count': 4, 'hit_count': 4, 'hit_rate': 100.0, 'total_count': 4, 'week': '2025-03-10', 'win_count': 3, 'win_rate': 75.0}, {'avg_performance': 12.29567905896364, 'bin': 0.8, 'count': 9, 'hit_count': 9, 'hit_rate': 100.0, 'total_count': 9, 'week': '2025-03-10', 'win_count': 7, 'win_rate': 77.77777777777777}, {'avg_performance': 7.605788361615662, 'bin': 0.9, 'count': 517, 'hit_count': 491, 'hit_rate': 94.97098646034816, 'total_count': 517, 'week': '2025-03-10', 'win_count': 408, 'win_rate': 78.91682785299807}, {'avg_performance': 9.493749988816306, 'bin': 1.0, 'count': 663, 'hit_count': 628, 'hit_rate': 94.72096530920061, 'total_count': 663, 'week': '2025-03-10', 'win_count': 560, 'win_rate': 84.46455505279035}]}, 'curve_data_week_list': ['2024-10-07', '2024-10-28', '2024-11-04', '2024-11-11', '2024-11-18', '2024-11-25', '2024-12-02', '2024-12-09', '2024-12-16', '2024-12-23', '2024-12-30', '2025-01-06', '2025-01-13', '2025-01-20', '2025-01-27', '2025-02-03', '2025-02-17', '2025-02-24', '2025-03-03', '2025-03-10'], 'date_from': datetime.date(2024, 10, 7), 'date_to': datetime.date(2025, 4, 5), 'kpis': {'avg_gain': 8.499666235090704, 'fail_count': 5649, 'hit_count': 19335, 'hit_rate': 93.5730532836471, 'pass_count': 15014, 'total_tests': 20663, 'win_rate': 72.66127861394763}, 'last_metrics': <ModelMetrics: Binned LGBM 3d PH Isotonic 2% Metrics: 2025-04-04 >, 'model': <Model: Binned LGBM 3d PH Isotonic 2% (binned-ph-lgmb-p2-seq3-isotonic v1)>, 'performance_data': '<<queryset of core.ModelTest>>'} {'block': <Block Node: body_end. Contents: [<TextNode: '\n\n <!-- PERFORMANCE CU'>, <IncludeNode: template=<FilterExpression '"components/performance_curve.html"'>>, <TextNode: '\n <!-- /PERFORMANCE CU'>]>} {'curve_data': [{'avg_performance': 0.9641321085328886, 'bin': 0.4, 'count': 2, 'hit_count': 2, 'hit_rate': 100.0, 'total_count': 2, 'win_count': 0, 'win_rate': 0.0}, {'avg_performance': 2.2292204959132125, 'bin': 0.5, 'count': 4, 'hit_count': 4, 'hit_rate': 100.0, 'total_count': 4, 'win_count': 2, 'win_rate': 50.0}, {'avg_performance': 3.7686100553554973, 'bin': 0.6, 'count': 12, 'hit_count': 12, 'hit_rate': 100.0, 'total_count': 12, 'win_count': 7, 'win_rate': 58.333333333333336}, {'avg_performance': 7.914791436539116, 'bin': 0.7, 'count': 23, 'hit_count': 22, 'hit_rate': 95.65217391304348, 'total_count': 23, 'win_count': 14, 'win_rate': 60.869565217391305}, {'avg_performance': 7.408860748352586, 'bin': 0.8, 'count': 167, 'hit_count': 159, 'hit_rate': 95.20958083832335, 'total_count': 167, 'win_count': 98, 'win_rate': 58.68263473053892}, {'avg_performance': 7.280943483103977, 'bin': 0.9, 'count': 6549, 'hit_count': 6121, 'hit_rate': 93.46465109176974, 'total_count': 6549, 'win_count': 4491, 'win_rate': 68.57535501603299}, {'avg_performance': 9.094658142524892, 'bin': 1.0, 'count': 13906, 'hit_count': 13015, 'hit_rate': 93.59269380123688, 'total_count': 13906, 'win_count': 10402, 'win_rate': 74.80224363584064}]}

Context processors

django.template.context_processors.csrf: Toggle context
{'csrf_token': <SimpleLazyObject: '2wIvffj0jELVNpud4ku36Owfn9geIHLUiwVMdQhN46n3XV7VhDY2Z6ESIMNVTln2'>}
django.template.context_processors.debug: Toggle context
{}
django.template.context_processors.request: Toggle context
{'request': <WSGIRequest: GET '/model/54'>}
django.contrib.auth.context_processors.auth: Toggle context
{'user': <SimpleLazyObject: <django.contrib.auth.models.AnonymousUser object at 0x7f8de8858bd0>>, 'perms': PermWrapper(<SimpleLazyObject: <django.contrib.auth.models.AnonymousUser object at 0x7f8de8858bd0>>)}
django.contrib.messages.context_processors.messages: Toggle context
{'messages': <FallbackStorage: request=<WSGIRequest: GET '/model/54'>>, '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
2	3.155665472149849 ms	0	1

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	1	1	0	0	0	0	0	0	0	0	0	0	0	0

Calls

	Type	Arguments	Keyword arguments	Backend
0.2361	get	('model_detail_6dd4c48e5679',)	{}	<django.core.cache.backends.filebased.FileBasedCache object at 0x7f8de894ce50>
/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 model_detail(663) context = cache.get(cache_key)
2.9196	set	('model_detail_6dd4c48e5679', {'model': <Model: Binned LGBM 3d PH Isotonic 2% (binned-ph-lgmb-p2-seq3-isotonic v1)>, 'last_metrics': <ModelMetrics: Binned LGBM 3d PH Isotonic 2% Metrics: 2025-04-04 >, 'kpis': {'total_tests': 20663, 'pass_count': 15014, 'fail_count': 5649, 'hit_count': 19335, 'win_rate': 72.66127861394763, 'hit_rate': 93.5730532836471, 'avg_gain': 8.499666235090704}, 'curve_data': [{'bin': 0.4, 'total_count': 2, 'hit_count': 2, 'win_count': 0, 'avg_performance': 0.9641321085328886, 'hit_rate': 100.0, 'win_rate': 0.0, 'count': 2}, {'bin': 0.5, 'total_count': 4, 'hit_count': 4, 'win_count': 2, 'avg_performance': 2.2292204959132125, 'hit_rate': 100.0, 'win_rate': 50.0, 'count': 4}, {'bin': 0.6, 'total_count': 12, 'hit_count': 12, 'win_count': 7, 'avg_performance': 3.7686100553554973, 'hit_rate': 100.0, 'win_rate': 58.333333333333336, 'count': 12}, {'bin': 0.7, 'total_count': 23, 'hit_count': 22, 'win_count': 14, 'avg_performance': 7.914791436539116, 'hit_rate': 95.65217391304348, 'win_rate': 60.869565217391305, 'count': 23}, {'bin': 0.8, 'total_count': 167, 'hit_count': 159, 'win_count': 98, 'avg_performance': 7.408860748352586, 'hit_rate': 95.20958083832335, 'win_rate': 58.68263473053892, 'count': 167}, {'bin': 0.9, 'total_count': 6549, 'hit_count': 6121, 'win_count': 4491, 'avg_performance': 7.280943483103977, 'hit_rate': 93.46465109176974, 'win_rate': 68.57535501603299, 'count': 6549}, {'bin': 1.0, 'total_count': 13906, 'hit_count': 13015, 'win_count': 10402, 'avg_performance': 9.094658142524892, 'hit_rate': 93.59269380123688, 'win_rate': 74.80224363584064, 'count': 13906}], 'curve_data_by_week': {'2024-10-07': [{'week': '2024-10-07', 'bin': 0.7, 'total_count': 1, 'hit_count': 1, 'win_count': 0, 'avg_performance': 0.3105590062111735, 'hit_rate': 100.0, 'win_rate': 0.0, 'count': 1}, {'week': '2024-10-07', 'bin': 0.8, 'total_count': 9, 'hit_count': 9, 'win_count': 3, 'avg_performance': 3.777701003342625, 'hit_rate': 100.0, 'win_rate': 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'hit_rate': 94.6938775510204, 'avg_performance': 8.665727255771952, 'metrics': {'financial': 0, 'content': 0, 'other': 0}}, {'date': datetime.date(2025, 1, 15), 'pass_count': 470, 'fail_count': 136, 'total_count': 606, 'hit_count': 582, 'win_rate': 77.55775577557756, 'hit_rate': 96.03960396039604, 'avg_performance': 9.090623208994863, 'metrics': {'financial': 0, 'content': 0, 'other': 0}}, {'date': datetime.date(2025, 1, 14), 'pass_count': 436, 'fail_count': 94, 'total_count': 530, 'hit_count': 507, 'win_rate': 82.26415094339623, 'hit_rate': 95.66037735849056, 'avg_performance': 8.885338348914946, 'metrics': {'content': 0.1, 'financial': 0, 'other': 0.11}}, {'date': datetime.date(2025, 1, 7), 'pass_count': 307, 'fail_count': 197, 'total_count': 504, 'hit_count': 465, 'win_rate': 60.91269841269841, 'hit_rate': 92.26190476190476, 'avg_performance': 6.514511284329235, 'metrics': {'financial': 0, 'content': 0, 'other': 0}}, {'date': datetime.date(2024, 12, 30), 'pass_count': 667, 'fail_count': 149, 'total_count': 816, 'hit_count': 787, 'win_rate': 81.74019607843137, 'hit_rate': 96.44607843137256, 'avg_performance': 11.13890495677408, 'metrics': {'financial': 0, 'content': 0, 'other': 0}}, {'date': datetime.date(2024, 12, 26), 'pass_count': 592, 'fail_count': 124, 'total_count': 716, 'hit_count': 702, 'win_rate': 82.68156424581005, 'hit_rate': 98.04469273743017, 'avg_performance': 18.27943902834713, 'metrics': {'content': 0.03, 'financial': 0, 'other': 0.15}}, {'date': datetime.date(2024, 12, 23), 'pass_count': 683, 'fail_count': 211, 'total_count': 894, 'hit_count': 844, 'win_rate': 76.39821029082773, 'hit_rate': 94.40715883668904, 'avg_performance': 12.072270767239058, 'metrics': {'financial': 0, 'content': 0, 'other': 0}}, {'date': datetime.date(2024, 12, 17), 'pass_count': 438, 'fail_count': 217, 'total_count': 655, 'hit_count': 612, 'win_rate': 66.87022900763358, 'hit_rate': 93.43511450381679, 'avg_performance': 8.718366863579607, 'metrics': {'content': 0.03, 'financial': 0, 'other': 0.15}}, {'date': datetime.date(2024, 12, 16), 'pass_count': 667, 'fail_count': 246, 'total_count': 913, 'hit_count': 853, 'win_rate': 73.05585980284775, 'hit_rate': 93.42825848849945, 'avg_performance': 9.73717309879823, 'metrics': {'content': 0.14, 'financial': 0, 'other': 0.13}}, {'date': datetime.date(2024, 12, 11), 'pass_count': 372, 'fail_count': 267, 'total_count': 639, 'hit_count': 566, 'win_rate': 58.21596244131455, 'hit_rate': 88.57589984350548, 'avg_performance': 5.017228365270306, 'metrics': {'financial': 0, 'content': 0, 'other': 0}}, '...(remaining elements truncated)...']>}, 86400)	{}	<django.core.cache.backends.filebased.FileBasedCache object at 0x7f8de894ce50>
/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 model_detail(1013) cache.set(cache_key, context, 246060)

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, file_storage_changed, complex_setting_changed, root_urlconf_changed, static_storage_changed, static_finders_changed, auth_password_validators_changed, user_model_swapped, update_toolbar_config, reset_hashers, 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

Model: Binned LGBM 3d PH Isotonic 2% v1

Details

Model Backtesting

Total Tests

# Pass

# Fail

Win Rate

Hit Rate

Avg Gain

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 (717 found, 2 used)

Static file paths

Static file apps

Static files

django.contrib.staticfiles.finders.AppDirectoriesFinder (717 files)

Templates (37 rendered)

Template path

Templates

Context processors

Cache calls from 1 backend

Summary

Commands

Calls

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
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