Date	# Tests	# Pass	# Fail	Win Rate	Hit Rate	% Perf
2025-03-14	743	579	164	77.93 %	97.71 %	9.35 %
2025-03-06	757	483	274	63.80 %	94.45 %	6.78 %
2025-03-04	688	522	166	75.87 %	96.51 %	9.75 %
2025-03-03	640	251	389	39.22 %	88.91 %	4.75 %
2025-02-21	812	255	557	31.40 %	82.39 %	4.23 %
2025-02-20	873	350	523	40.09 %	87.97 %	5.54 %
2025-02-11	782	447	335	57.16 %	92.71 %	8.27 %
2025-02-10	805	394	411	48.94 %	89.94 %	6.70 %
2025-02-07	814	393	421	48.28 %	92.63 %	6.56 %
2025-02-06	793	365	428	46.03 %	89.79 %	6.73 %
2025-02-05	822	530	292	64.48 %	95.74 %	8.25 %
2025-02-04	808	651	157	80.57 %	96.91 %	9.56 %
2025-01-31	760	410	350	53.95 %	92.37 %	7.17 %
2025-01-29	706	475	231	67.28 %	93.48 %	7.51 %
2025-01-28	724	427	297	58.98 %	93.65 %	6.48 %
2025-01-17	785	515	270	65.61 %	95.16 %	8.26 %
2025-01-16	752	504	248	67.02 %	94.68 %	8.26 %
2025-01-13	683	494	189	72.33 %	91.80 %	8.41 %
2025-01-10	649	313	336	48.23 %	89.37 %	6.22 %
2025-01-03	807	615	192	76.21 %	96.53 %	12.72 %
2025-01-02	800	636	164	79.50 %	97.75 %	14.70 %
2024-12-30	729	532	197	72.98 %	95.88 %	11.76 %
2024-12-24	822	588	234	71.53 %	96.84 %	13.02 %
2024-12-20	774	674	100	87.08 %	97.67 %	11.93 %
2024-12-16	866	546	320	63.05 %	93.42 %	9.81 %
2024-12-13	841	446	395	53.03 %	92.03 %	7.55 %
2024-12-11	788	363	425	46.07 %	89.21 %	4.99 %
2024-12-09	857	532	325	62.08 %	96.03 %	8.25 %
2024-12-04	837	475	362	56.75 %	92.11 %	7.92 %
2024-12-03	803	410	393	51.06 %	90.16 %	7.58 %
2024-11-26	823	544	279	66.10 %	94.41 %	8.07 %
2024-11-25	827	569	258	68.80 %	95.53 %	8.67 %
2024-11-22	830	686	144	82.65 %	97.83 %	12.61 %
2024-11-21	832	706	126	84.86 %	98.20 %	13.49 %
2024-11-20	922	675	247	73.21 %	96.10 %	10.04 %
2024-11-19	951	720	231	75.71 %	96.42 %	10.18 %
2024-11-18	973	587	386	60.33 %	91.88 %	8.12 %
2024-11-13	867	407	460	46.94 %	89.50 %	5.95 %
2024-11-07	737	489	248	66.35 %	93.89 %	9.34 %
2024-11-06	713	498	215	69.85 %	93.55 %	8.37 %
2024-11-05	738	627	111	84.96 %	97.43 %	11.14 %
2024-10-31	781	394	387	50.45 %	91.55 %	5.66 %
2024-10-25	833	531	302	63.75 %	96.04 %	8.19 %
2024-10-16	818	516	302	63.08 %	96.58 %	8.62 %
2024-10-08	780	432	348	55.38 %	92.18 %	5.97 %

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	415.290 msec
System CPU time	3.595 msec
Total CPU time	418.885 msec
Elapsed time	1566.926 msec
Context switches	12 voluntary, 6 involuntary

Browser timing

Timing attribute	Timeline	Milliseconds since navigation start (+length)
domainLookup		52 (+37)
connect		89 (+110)
request		200 (+2063)
response		2030 (+233)
domLoading		2052 (+-1743887594181)
domInteractive		2648
domContentLoadedEvent		2648 (+9)
loadEvent		-1743887592129 (+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/59
QUERY_STRING
REMOTE_ADDR	18.219.151.245
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': 59}`	`model_detail`

No cookies

No session data

No GET data

No POST data

SQL queries from 1 connection

default 1146.79 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" = 59 LIMIT 21SELECT ••• FROM "pl_model" WHERE "pl_model"."id" = 59 LIMIT 21		1.56
		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" = 59 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" = 59 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		29.19
		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" = 59 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" = 59 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		719.95
		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" = 59 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" = 59 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		176.05
		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 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" = 59 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" = 59 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		220.05
		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 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 (52 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: ' "'3oVroBjAzGD5ckfI7KSWL5Ma6reIXvZZfP4b1KzBtSRzB9sS9ti3mJI8dJQDfzAr'>", 'messages': <FallbackStorage: request=<WSGIRequest: GET '/model/59'>>, 'perms': PermWrapper(<SimpleLazyObject: <django.contrib.auth.models.AnonymousUser object at 0x7f8de8aa2150>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <django.contrib.auth.models.AnonymousUser object ' 'at 0x7f8de8aa2150>>'} {'curve_data': [{'avg_performance': 18.102948235246075, 'bin': 0.4, 'count': 18, 'hit_count': 17, 'hit_rate': 94.44444444444444, 'total_count': 18, 'win_count': 7, 'win_rate': 38.888888888888886}, {'avg_performance': 6.92691440577375, 'bin': 0.5, 'count': 198, 'hit_count': 189, 'hit_rate': 95.45454545454545, 'total_count': 198, 'win_count': 81, 'win_rate': 40.90909090909091}, {'avg_performance': 6.910400090041331, 'bin': 0.6, 'count': 9722, 'hit_count': 9146, 'hit_rate': 94.07529314955771, 'total_count': 9722, 'win_count': 5668, 'win_rate': 58.30076116025509}, {'avg_performance': 8.838199851101603, 'bin': 0.7, 'count': 23927, 'hit_count': 22346, 'hit_rate': 93.39240188907928, 'total_count': 23927, 'win_count': 15454, 'win_rate': 64.58812220504034}, {'avg_performance': 13.310194759206771, 'bin': 0.8, 'count': 1839, 'hit_count': 1753, 'hit_rate': 95.32354540511147, 'total_count': 1839, 'win_count': 1318, 'win_rate': 71.66938553561718}, {'avg_performance': 20.47195554687162, 'bin': 0.9, 'count': 41, 'hit_count': 38, 'hit_rate': 92.6829268292683, 'total_count': 41, 'win_count': 28, 'win_rate': 68.29268292682927}], 'curve_data_by_week': {'2024-10-07': [{'avg_performance': 0.9832841691248736, 'bin': 0.5, 'count': 2, 'hit_count': 1, 'hit_rate': 50.0, 'total_count': 2, 'week': '2024-10-07', 'win_count': 0, 'win_rate': 0.0}, {'avg_performance': 4.094996869260234, 'bin': 0.6, 'count': 185, 'hit_count': 170, 'hit_rate': 91.89189189189189, 'total_count': 185, 'week': '2024-10-07', 'win_count': 92, 'win_rate': 49.729729729729726}, {'avg_performance': 6.551457927866639, 'bin': 0.7, 'count': 549, 'hit_count': 507, 'hit_rate': 92.34972677595628, 'total_count': 549, 'week': '2024-10-07', 'win_count': 309, 'win_rate': 56.28415300546448}, {'avg_performance': 6.7860609702198476, 'bin': 0.8, 'count': 44, 'hit_count': 41, 'hit_rate': 93.18181818181819, 'total_count': 44, 'week': '2024-10-07', 'win_count': 31, 'win_rate': 70.45454545454545}], '2024-10-14': [{'avg_performance': 0.952380952380949, 'bin': 0.4, 'count': 1, 'hit_count': 1, 'hit_rate': 100.0, 'total_count': 1, 'week': '2024-10-14', 'win_count': 0, 'win_rate': 0.0}, {'avg_performance': 0.18903591682419257, 'bin': 0.5, 'count': 1, 'hit_count': 1, 'hit_rate': 100.0, 'total_count': 1, 'week': '2024-10-14', 'win_count': 0, 'win_rate': 0.0}, {'avg_performance': 6.692102241394486, 'bin': 0.6, 'count': 225, 'hit_count': 220, 'hit_rate': 97.77777777777777, 'total_count': 225, 'week': '2024-10-14', 'win_count': 135, 'win_rate': 60.0}, {'avg_performance': 9.295501574083023, 'bin': 0.7, 'count': 552, 'hit_count': 530, 'hit_rate': 96.01449275362319, 'total_count': 552, 'week': '2024-10-14', 'win_count': 353, 'win_rate': 63.94927536231884}, {'avg_performance': 10.527893393209991, 'bin': 0.8, 'count': 38, 'hit_count': 37, 'hit_rate': 97.36842105263158, 'total_count': 38, 'week': '2024-10-14', 'win_count': 27, 'win_rate': 71.05263157894737}, {'avg_performance': 13.696808510638315, 'bin': 0.9, 'count': 1, 'hit_count': 1, 'hit_rate': 100.0, 'total_count': 1, 'week': '2024-10-14', 'win_count': 1, 'win_rate': 100.0}], '2024-10-21': [{'avg_performance': 1.547885771186745, 'bin': 0.5, 'count': 2, 'hit_count': 2, 'hit_rate': 100.0, 'total_count': 2, 'week': '2024-10-21', 'win_count': 0, 'win_rate': 0.0}, {'avg_performance': 7.586064256932952, 'bin': 0.6, 'count': 232, 'hit_count': 223, 'hit_rate': 96.12068965517241, 'total_count': 232, 'week': '2024-10-21', 'win_count': 121, 'win_rate': 52.1551724137931}, {'avg_performance': 8.165115969438421, 'bin': 0.7, 'count': 562, 'hit_count': 538, 'hit_rate': 95.72953736654804, 'total_count': 562, 'week': '2024-10-21', 'win_count': 381, 'win_rate': 67.79359430604983}, {'avg_performance': 11.55783846087834, 'bin': 0.8, 'count': 36, 'hit_count': 36, 'hit_rate': 100.0, 'total_count': 36, 'week': '2024-10-21', 'win_count': 28, 'win_rate': 77.77777777777777}, {'avg_performance': 54.36241610738254, 'bin': 0.9, 'count': 1, 'hit_count': 1, 'hit_rate': 100.0, 'total_count': 1, 'week': '2024-10-21', 'win_count': 1, 'win_rate': 100.0}], '2024-10-28': [{'avg_performance': 3.460840761243215, 'bin': 0.5, 'count': 7, 'hit_count': 7, 'hit_rate': 100.0, 'total_count': 7, 'week': '2024-10-28', 'win_count': 2, 'win_rate': 28.571428571428573}, {'avg_performance': 6.109513080465719, 'bin': 0.6, 'count': 248, 'hit_count': 231, 'hit_rate': 93.14516129032258, 'total_count': 248, 'week': '2024-10-28', 'win_count': 126, 'win_rate': 50.806451612903224}, {'avg_performance': 5.4659300812073495, 'bin': 0.7, 'count': 507, 'hit_count': 458, 'hit_rate': 90.33530571992111, 'total_count': 507, 'week': '2024-10-28', 'win_count': 252, 'win_rate': 49.70414201183432}, {'avg_performance': 5.787168206270501, 'bin': 0.8, 'count': 19, 'hit_count': 19, 'hit_rate': 100.0, 'total_count': 19, 'week': '2024-10-28', 'win_count': 14, 'win_rate': 73.6842105263158}], '2024-11-04': [{'avg_performance': 9.485808887098708, 'bin': 0.4, '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': 8.126287436100279, 'bin': 0.5, 'count': 18, 'hit_count': 18, 'hit_rate': 100.0, 'total_count': 18, 'week': '2024-11-04', 'win_count': 13, 'win_rate': 72.22222222222223}, {'avg_performance': 8.959308583971334, 'bin': 0.6, 'count': 763, 'hit_count': 723, 'hit_rate': 94.75753604193972, 'total_count': 763, 'week': '2024-11-04', 'win_count': 544, 'win_rate': 71.29750982961993}, {'avg_performance': 9.956978273681182, 'bin': 0.7, 'count': 1376, 'hit_count': 1307, 'hit_rate': 94.98546511627907, 'total_count': 1376, 'week': '2024-11-04', 'win_count': 1031, 'win_rate': 74.92732558139535}, {'avg_performance': 13.514549222081094, 'bin': 0.8, 'count': 24, 'hit_count': 23, 'hit_rate': 95.83333333333333, 'total_count': 24, 'week': '2024-11-04', 'win_count': 21, 'win_rate': 87.5}], '2024-11-11': [{'avg_performance': 2.857142857142867, 'bin': 0.4, 'count': 1, 'hit_count': 1, 'hit_rate': 100.0, 'total_count': 1, 'week': '2024-11-11', 'win_count': 0, 'win_rate': 0.0}, {'avg_performance': 44.47825231193425, 'bin': 0.5, 'count': 4, 'hit_count': 4, 'hit_rate': 100.0, 'total_count': 4, 'week': '2024-11-11', 'win_count': 2, 'win_rate': 50.0}, {'avg_performance': 5.041455067609432, 'bin': 0.6, 'count': 247, 'hit_count': 228, 'hit_rate': 92.3076923076923, 'total_count': 247, 'week': '2024-11-11', 'win_count': 110, 'win_rate': 44.534412955465584}, {'avg_performance': 6.016766062892095, 'bin': 0.7, 'count': 600, 'hit_count': 531, 'hit_rate': 88.5, 'total_count': 600, 'week': '2024-11-11', 'win_count': 288, 'win_rate': 48.0}, {'avg_performance': 8.061256971614759, 'bin': 0.8, 'count': 15, 'hit_count': 12, 'hit_rate': 80.0, 'total_count': 15, 'week': '2024-11-11', 'win_count': 7, 'win_rate': 46.666666666666664}], '2024-11-18': [{'avg_performance': 124.29845727848101, 'bin': 0.4, 'count': 2, 'hit_count': 2, 'hit_rate': 100.0, 'total_count': 2, 'week': '2024-11-18', 'win_count': 2, 'win_rate': 100.0}, {'avg_performance': 10.30594138925844, 'bin': 0.5, 'count': 33, 'hit_count': 32, 'hit_rate': 96.96969696969697, 'total_count': 33, 'week': '2024-11-18', 'win_count': 18, 'win_rate': 54.54545454545455}, {'avg_performance': 8.709350952189018, 'bin': 0.6, 'count': 1373, 'hit_count': 1310, 'hit_rate': 95.41150764748726, 'total_count': 1373, 'week': '2024-11-18', 'win_count': 956, 'win_rate': 69.6285506190823}, {'avg_performance': 11.12852339933616, 'bin': 0.7, 'count': 2943, 'hit_count': 2826, 'hit_rate': 96.02446483180428, 'total_count': 2943, 'week': '2024-11-18', 'win_count': 2264, 'win_rate': 76.92830445124024}, {'avg_performance': 19.94866511082917, 'bin': 0.8, 'count': 155, 'hit_count': 154, 'hit_rate': 99.35483870967742, 'total_count': 155, 'week': '2024-11-18', 'win_count': 132, 'win_rate': 85.16129032258064}, {'avg_performance': 69.40222575516694, 'bin': 0.9, 'count': 2, 'hit_count': 2, 'hit_rate': 100.0, 'total_count': 2, 'week': '2024-11-18', 'win_count': 2, 'win_rate': 100.0}], '2024-11-25': [{'avg_performance': 0.3058103975535103, 'bin': 0.4, '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': 30.331490133670275, 'bin': 0.5, 'count': 5, 'hit_count': 5, 'hit_rate': 100.0, 'total_count': 5, 'week': '2024-11-25', 'win_count': 2, 'win_rate': 40.0}, {'avg_performance': 6.512163405584617, 'bin': 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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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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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0.5, 'count': 4, 'hit_count': 4, 'hit_rate': 100.0, 'total_count': 4, 'week': '2025-01-06', 'win_count': 1, 'win_rate': 25.0}, {'avg_performance': 6.522178048132749, 'bin': 0.6, 'count': 156, 'hit_count': 139, 'hit_rate': 89.1025641025641, 'total_count': 156, 'week': '2025-01-06', 'win_count': 70, 'win_rate': 44.87179487179487}, {'avg_performance': 5.824682489205372, 'bin': 0.7, 'count': 430, 'hit_count': 381, 'hit_rate': 88.6046511627907, 'total_count': 430, 'week': '2025-01-06', 'win_count': 208, 'win_rate': 48.372093023255815}, {'avg_performance': 8.655338006387538, 'bin': 0.8, 'count': 58, 'hit_count': 55, 'hit_rate': 94.82758620689656, 'total_count': 58, 'week': '2025-01-06', 'win_count': 34, 'win_rate': 58.62068965517241}, {'avg_performance': 0.7614213197969606, 'bin': 0.9, 'count': 1, 'hit_count': 1, 'hit_rate': 100.0, 'total_count': 1, 'week': '2025-01-06', 'win_count': 0, 'win_rate': 0.0}], '2025-01-13': [{'avg_performance': 5.1838781114771475, 'bin': 0.5, 'count': 13, 'hit_count': 13, 'hit_rate': 100.0, 'total_count': 13, 'week': '2025-01-13', 'win_count': 7, 'win_rate': 53.84615384615385}, {'avg_performance': 6.654945144233287, 'bin': 0.6, 'count': 578, 'hit_count': 548, 'hit_rate': 94.80968858131487, 'total_count': 578, 'week': '2025-01-13', 'win_count': 372, 'win_rate': 64.3598615916955}, {'avg_performance': 8.731378345285362, 'bin': 0.7, 'count': 1501, 'hit_count': 1402, 'hit_rate': 93.40439706862092, 'total_count': 1501, 'week': '2025-01-13', 'win_count': 1041, 'win_rate': 69.35376415722851}, {'avg_performance': 11.0652900827329, 'bin': 0.8, 'count': 126, 'hit_count': 121, 'hit_rate': 96.03174603174604, 'total_count': 126, 'week': '2025-01-13', 'win_count': 91, 'win_rate': 72.22222222222223}, {'avg_performance': 10.989189189189181, 'bin': 0.9, 'count': 2, 'hit_count': 2, 'hit_rate': 100.0, 'total_count': 2, 'week': '2025-01-13', 'win_count': 2, 'win_rate': 100.0}], '2025-01-27': [{'avg_performance': 3.2580768011256747, 'bin': 0.5, 'count': 16, 'hit_count': 16, 'hit_rate': 100.0, 'total_count': 16, 'week': '2025-01-27', 'win_count': 6, 'win_rate': 37.5}, {'avg_performance': 6.363057153035602, 'bin': 0.6, 'count': 491, 'hit_count': 461, 'hit_rate': 93.89002036659878, 'total_count': 491, 'week': '2025-01-27', 'win_count': 273, 'win_rate': 55.60081466395112}, {'avg_performance': 7.258238217299634, 'bin': 0.7, 'count': 1526, 'hit_count': 1418, 'hit_rate': 92.92267365661861, 'total_count': 1526, 'week': '2025-01-27', 'win_count': 929, 'win_rate': 60.878112712975096}, {'avg_performance': 7.31728182562197, 'bin': 0.8, 'count': 155, 'hit_count': 143, 'hit_rate': 92.25806451612904, 'total_count': 155, 'week': '2025-01-27', 'win_count': 103, 'win_rate': 66.45161290322581}, {'avg_performance': 24.919638372677035, 'bin': 0.9, 'count': 2, 'hit_count': 2, 'hit_rate': 100.0, 'total_count': 2, 'week': '2025-01-27', 'win_count': 1, 'win_rate': 50.0}], '2025-02-03': [{'avg_performance': 1.2195121951219523, 'bin': 0.4, 'count': 1, 'hit_count': 1, 'hit_rate': 100.0, 'total_count': 1, 'week': '2025-02-03', 'win_count': 0, 'win_rate': 0.0}, {'avg_performance': 3.800635367070108, 'bin': 0.5, 'count': 13, 'hit_count': 13, 'hit_rate': 100.0, 'total_count': 13, 'week': '2025-02-03', 'win_count': 2, 'win_rate': 15.384615384615385}, {'avg_performance': 5.1493723491496155, 'bin': 0.6, 'count': 769, 'hit_count': 716, 'hit_rate': 93.10793237971392, 'total_count': 769, 'week': '2025-02-03', 'win_count': 409, 'win_rate': 53.185955786736024}, {'avg_performance': 7.914811530467548, 'bin': 0.7, 'count': 2249, 'hit_count': 2103, 'hit_rate': 93.50822587816808, 'total_count': 2249, 'week': '2025-02-03', 'win_count': 1373, 'win_rate': 61.04935526900845}, {'avg_performance': 16.663981248901806, 'bin': 0.8, 'count': 202, 'hit_count': 200, 'hit_rate': 99.00990099009901, 'total_count': 202, 'week': '2025-02-03', 'win_count': 153, 'win_rate': 75.74257425742574}, {'avg_performance': 5.103128906448666, 'bin': 0.9, 'count': 3, 'hit_count': 3, 'hit_rate': 100.0, 'total_count': 3, 'week': '2025-02-03', 'win_count': 2, 'win_rate': 66.66666666666667}], '2025-02-10': [{'avg_performance': 0.0, 'bin': 0.4, 'count': 1, 'hit_count': 0, 'hit_rate': 0.0, 'total_count': 1, 'week': '2025-02-10', 'win_count': 0, 'win_rate': 0.0}, {'avg_performance': 1.148991909684808, 'bin': 0.5, 'count': 8, 'hit_count': 8, 'hit_rate': 100.0, 'total_count': 8, 'week': '2025-02-10', 'win_count': 1, 'win_rate': 12.5}, {'avg_performance': 5.926932221978071, 'bin': 0.6, 'count': 343, 'hit_count': 316, 'hit_rate': 92.12827988338192, 'total_count': 343, 'week': '2025-02-10', 'win_count': 168, 'win_rate': 48.97959183673469}, {'avg_performance': 7.6360882250918465, 'bin': 0.7, 'count': 1109, 'hit_count': 1012, 'hit_rate': 91.25338142470694, 'total_count': 1109, 'week': '2025-02-10', 'win_count': 600, 'win_rate': 54.10279531109107}, {'avg_performance': 10.799614988112276, 'bin': 0.8, 'count': 125, 'hit_count': 112, 'hit_rate': 89.6, 'total_count': 125, 'week': '2025-02-10', 'win_count': 72, 'win_rate': 57.6}, {'avg_performance': 0.2487562189054673, 'bin': 0.9, 'count': 1, 'hit_count': 1, 'hit_rate': 100.0, 'total_count': 1, 'week': '2025-02-10', 'win_count': 0, 'win_rate': 0.0}], '2025-02-17': [{'avg_performance': 1.8769678265628802, 'bin': 0.5, 'count': 5, 'hit_count': 5, 'hit_rate': 100.0, 'total_count': 5, 'week': '2025-02-17', 'win_count': 1, 'win_rate': 20.0}, {'avg_performance': 3.9479103906005744, 'bin': 0.6, 'count': 374, 'hit_count': 327, 'hit_rate': 87.43315508021391, 'total_count': 374, 'week': '2025-02-17', 'win_count': 123, 'win_rate': 32.88770053475936}, {'avg_performance': 4.981758166122733, 'bin': 0.7, 'count': 1202, 'hit_count': 1014, 'hit_rate': 84.35940099833611, 'total_count': 1202, 'week': '2025-02-17', 'win_count': 431, 'win_rate': 35.856905158069885}, {'avg_performance': 7.674189489398568, 'bin': 0.8, 'count': 102, 'hit_count': 89, 'hit_rate': 87.25490196078431, 'total_count': 102, 'week': '2025-02-17', 'win_count': 48, 'win_rate': 47.05882352941177}, {'avg_performance': 9.841093133660545, 'bin': 0.9, 'count': 2, 'hit_count': 2, 'hit_rate': 100.0, 'total_count': 2, 'week': '2025-02-17', 'win_count': 2, 'win_rate': 100.0}], '2025-03-03': [{'avg_performance': 2.504754640084878, 'bin': 0.5, 'count': 15, 'hit_count': 11, 'hit_rate': 73.33333333333333, 'total_count': 15, 'week': '2025-03-03', 'win_count': 4, 'win_rate': 26.666666666666668}, {'avg_performance': 5.902122921546497, 'bin': 0.6, 'count': 684, 'hit_count': 644, 'hit_rate': 94.15204678362574, 'total_count': 684, 'week': '2025-03-03', 'win_count': 384, 'win_rate': 56.14035087719298}, {'avg_performance': 7.826065587547884, 'bin': 0.7, 'count': 1371, 'hit_count': 1279, 'hit_rate': 93.28956965718454, 'total_count': 1371, 'week': '2025-03-03', 'win_count': 857, 'win_rate': 62.509117432531}, {'avg_performance': 4.854343523651752, 'bin': 0.8, 'count': 15, 'hit_count': 14, 'hit_rate': 93.33333333333333, 'total_count': 15, 'week': '2025-03-03', 'win_count': 11, 'win_rate': 73.33333333333333}], '2025-03-10': [{'avg_performance': 5.123349280957977, 'bin': 0.5, 'count': 4, 'hit_count': 3, 'hit_rate': 75.0, 'total_count': 4, 'week': '2025-03-10', 'win_count': 2, 'win_rate': 50.0}, {'avg_performance': 8.163741548645456, 'bin': 0.6, 'count': 251, 'hit_count': 246, 'hit_rate': 98.00796812749005, 'total_count': 251, 'week': '2025-03-10', 'win_count': 190, 'win_rate': 75.69721115537848}, {'avg_performance': 9.958917869665648, 'bin': 0.7, 'count': 475, 'hit_count': 464, 'hit_rate': 97.6842105263158, 'total_count': 475, 'week': '2025-03-10', 'win_count': 375, 'win_rate': 78.94736842105263}, {'avg_performance': 11.198179479720455, 'bin': 0.8, 'count': 13, 'hit_count': 13, 'hit_rate': 100.0, 'total_count': 13, 'week': '2025-03-10', 'win_count': 12, 'win_rate': 92.3076923076923}]}, 'curve_data_week_list': ['2024-10-07', '2024-10-14', '2024-10-21', '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', '2025-01-27', '2025-02-03', '2025-02-10', '2025-02-17', '2025-03-03', '2025-03-10'], 'date_from': datetime.date(2024, 10, 7), 'date_to': datetime.date(2025, 4, 5), 'kpis': {'avg_gain': 8.551369365585966, 'fail_count': 13189, 'hit_count': 33489, 'hit_rate': 93.6886277801091, 'pass_count': 22556, 'total_tests': 35745, 'win_rate': 63.102531822632535}, 'last_metrics': <ModelMetrics: Rolling LGBM 3d PH Platt 3% Metrics: 2025-04-04 >, 'model': <Model: Rolling LGBM 3d PH Platt 3% (rolling-ph-lgmb-p3-seq3-platt 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': 18.102948235246075, 'bin': 0.4, 'count': 18, 'hit_count': 17, 'hit_rate': 94.44444444444444, 'total_count': 18, 'win_count': 7, 'win_rate': 38.888888888888886}, {'avg_performance': 6.92691440577375, 'bin': 0.5, 'count': 198, 'hit_count': 189, 'hit_rate': 95.45454545454545, 'total_count': 198, 'win_count': 81, 'win_rate': 40.90909090909091}, {'avg_performance': 6.910400090041331, 'bin': 0.6, 'count': 9722, 'hit_count': 9146, 'hit_rate': 94.07529314955771, 'total_count': 9722, 'win_count': 5668, 'win_rate': 58.30076116025509}, {'avg_performance': 8.838199851101603, 'bin': 0.7, 'count': 23927, 'hit_count': 22346, 'hit_rate': 93.39240188907928, 'total_count': 23927, 'win_count': 15454, 'win_rate': 64.58812220504034}, {'avg_performance': 13.310194759206771, 'bin': 0.8, 'count': 1839, 'hit_count': 1753, 'hit_rate': 95.32354540511147, 'total_count': 1839, 'win_count': 1318, 'win_rate': 71.66938553561718}, {'avg_performance': 20.47195554687162, 'bin': 0.9, 'count': 41, 'hit_count': 38, 'hit_rate': 92.6829268292683, 'total_count': 41, 'win_count': 28, 'win_rate': 68.29268292682927}]}

Context processors

django.template.context_processors.csrf: Toggle context
{'csrf_token': <SimpleLazyObject: '3oVroBjAzGD5ckfI7KSWL5Ma6reIXvZZfP4b1KzBtSRzB9sS9ti3mJI8dJQDfzAr'>}
django.template.context_processors.debug: Toggle context
{}
django.template.context_processors.request: Toggle context
{'request': <WSGIRequest: GET '/model/59'>}
django.contrib.auth.context_processors.auth: Toggle context
{'user': <SimpleLazyObject: <django.contrib.auth.models.AnonymousUser object at 0x7f8de8aa2150>>, 'perms': PermWrapper(<SimpleLazyObject: <django.contrib.auth.models.AnonymousUser object at 0x7f8de8aa2150>>)}
django.contrib.messages.context_processors.messages: Toggle context
{'messages': <FallbackStorage: request=<WSGIRequest: GET '/model/59'>>, '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	5.532164126634598 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
0.3299	get	('model_detail_0953c22e9c2f',)	{}	<django.core.cache.backends.filebased.FileBasedCache object at 0x7f8de8588e90>
/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)
5.2022	set	('model_detail_0953c22e9c2f', {'model': <Model: Rolling LGBM 3d PH Platt 3% (rolling-ph-lgmb-p3-seq3-platt v1)>, 'last_metrics': <ModelMetrics: Rolling LGBM 3d PH Platt 3% Metrics: 2025-04-04 >, 'kpis': {'total_tests': 35745, 'pass_count': 22556, 'fail_count': 13189, 'hit_count': 33489, 'win_rate': 63.102531822632535, 'hit_rate': 93.6886277801091, 'avg_gain': 8.551369365585966}, 'curve_data': [{'bin': 0.4, 'total_count': 18, 'hit_count': 17, 'win_count': 7, 'avg_performance': 18.102948235246075, 'hit_rate': 94.44444444444444, 'win_rate': 38.888888888888886, 'count': 18}, {'bin': 0.5, 'total_count': 198, 'hit_count': 189, 'win_count': 81, 'avg_performance': 6.92691440577375, 'hit_rate': 95.45454545454545, 'win_rate': 40.90909090909091, 'count': 198}, {'bin': 0.6, 'total_count': 9722, 'hit_count': 9146, 'win_count': 5668, 'avg_performance': 6.910400090041331, 'hit_rate': 94.07529314955771, 'win_rate': 58.30076116025509, 'count': 9722}, {'bin': 0.7, 'total_count': 23927, 'hit_count': 22346, 'win_count': 15454, 'avg_performance': 8.838199851101603, 'hit_rate': 93.39240188907928, 'win_rate': 64.58812220504034, 'count': 23927}, {'bin': 0.8, 'total_count': 1839, 'hit_count': 1753, 'win_count': 1318, 'avg_performance': 13.310194759206771, 'hit_rate': 95.32354540511147, 'win_rate': 71.66938553561718, 'count': 1839}, {'bin': 0.9, 'total_count': 41, 'hit_count': 38, 'win_count': 28, 'avg_performance': 20.47195554687162, 'hit_rate': 92.6829268292683, 'win_rate': 68.29268292682927, 'count': 41}], 'curve_data_by_week': {'2024-10-07': [{'week': '2024-10-07', 'bin': 0.5, 'total_count': 2, 'hit_count': 1, 'win_count': 0, 'avg_performance': 0.9832841691248736, 'hit_rate': 50.0, 'win_rate': 0.0, 'count': 2}, {'week': '2024-10-07', 'bin': 0.6, 'total_count': 185, 'hit_count': 170, 'win_count': 92, 'avg_performance': 4.094996869260234, 'hit_rate': 91.89189189189189, 'win_rate': 49.729729729729726, 'count': 185}, {'week': '2024-10-07', 'bin': 0.7, 'total_count': 549, 'hit_count': 507, 'win_count': 309, 'avg_performance': 6.551457927866639, 'hit_rate': 92.34972677595628, 'win_rate': 56.28415300546448, 'count': 549}, {'week': '2024-10-07', 'bin': 0.8, 'total_count': 44, 'hit_count': 41, 'win_count': 31, 'avg_performance': 6.7860609702198476, 'hit_rate': 93.18181818181819, 'win_rate': 70.45454545454545, 'count': 44}], '2024-10-14': [{'week': '2024-10-14', 'bin': 0.4, 'total_count': 1, 'hit_count': 1, 'win_count': 0, 'avg_performance': 0.952380952380949, 'hit_rate': 100.0, 'win_rate': 0.0, 'count': 1}, {'week': '2024-10-14', 'bin': 0.5, 'total_count': 1, 'hit_count': 1, 'win_count': 0, 'avg_performance': 0.18903591682419257, 'hit_rate': 100.0, 'win_rate': 0.0, 'count': 1}, {'week': '2024-10-14', 'bin': 0.6, 'total_count': 225, 'hit_count': 220, 'win_count': 135, 'avg_performance': 6.692102241394486, 'hit_rate': 97.77777777777777, 'win_rate': 60.0, 'count': 225}, {'week': '2024-10-14', 'bin': 0.7, 'total_count': 552, 'hit_count': 530, 'win_count': 353, 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'win_rate': 100.0, 'count': 2}], '2025-03-03': [{'week': '2025-03-03', 'bin': 0.5, 'total_count': 15, 'hit_count': 11, 'win_count': 4, 'avg_performance': 2.504754640084878, 'hit_rate': 73.33333333333333, 'win_rate': 26.666666666666668, 'count': 15}, {'week': '2025-03-03', 'bin': 0.6, 'total_count': 684, 'hit_count': 644, 'win_count': 384, 'avg_performance': 5.902122921546497, 'hit_rate': 94.15204678362574, 'win_rate': 56.14035087719298, 'count': 684}, {'week': '2025-03-03', 'bin': 0.7, 'total_count': 1371, 'hit_count': 1279, 'win_count': 857, 'avg_performance': 7.826065587547884, 'hit_rate': 93.28956965718454, 'win_rate': 62.509117432531, 'count': 1371}, {'week': '2025-03-03', 'bin': 0.8, 'total_count': 15, 'hit_count': 14, 'win_count': 11, 'avg_performance': 4.854343523651752, 'hit_rate': 93.33333333333333, 'win_rate': 73.33333333333333, 'count': 15}], '2025-03-10': [{'week': '2025-03-10', 'bin': 0.5, 'total_count': 4, 'hit_count': 3, 'win_count': 2, 'avg_performance': 5.123349280957977, 'hit_rate': 75.0, 'win_rate': 50.0, 'count': 4}, {'week': '2025-03-10', 'bin': 0.6, 'total_count': 251, 'hit_count': 246, 'win_count': 190, 'avg_performance': 8.163741548645456, 'hit_rate': 98.00796812749005, 'win_rate': 75.69721115537848, 'count': 251}, {'week': '2025-03-10', 'bin': 0.7, 'total_count': 475, 'hit_count': 464, 'win_count': 375, 'avg_performance': 9.958917869665648, 'hit_rate': 97.6842105263158, 'win_rate': 78.94736842105263, 'count': 475}, {'week': '2025-03-10', 'bin': 0.8, 'total_count': 13, 'hit_count': 13, 'win_count': 12, 'avg_performance': 11.198179479720455, 'hit_rate': 100.0, 'win_rate': 92.3076923076923, 'count': 13}]}, 'curve_data_week_list': ['2024-10-07', '2024-10-14', '2024-10-21', '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', '2025-01-27', '2025-02-03', '2025-02-10', '2025-02-17', '2025-03-03', '2025-03-10'], 'date_from': datetime.date(2024, 10, 7), 'date_to': datetime.date(2025, 4, 5), 'performance_data': <QuerySet [{'date': datetime.date(2025, 3, 14), 'pass_count': 579, 'fail_count': 164, 'total_count': 743, 'hit_count': 726, 'win_rate': 77.92732166890983, 'hit_rate': 97.71197846567968, 'avg_performance': 9.348122270742117, 'metrics': {'financial': 0, 'content': 0, 'other': 0}}, {'date': datetime.date(2025, 3, 6), 'pass_count': 483, 'fail_count': 274, 'total_count': 757, 'hit_count': 715, 'win_rate': 63.80449141347424, 'hit_rate': 94.45178335535006, 'avg_performance': 6.7774506987183685, 'metrics': {'content': 0.19, 'financial': 0, 'other': 0.08}}, {'date': datetime.date(2025, 3, 4), 'pass_count': 522, 'fail_count': 166, 'total_count': 688, 'hit_count': 664, 'win_rate': 75.87209302325581, 'hit_rate': 96.51162790697674, 'avg_performance': 9.751745248252243, 'metrics': {'financial': 0, 'content': 0, 'other': 0}}, {'date': datetime.date(2025, 3, 3), 'pass_count': 251, 'fail_count': 389, 'total_count': 640, 'hit_count': 569, 'win_rate': 39.21875, 'hit_rate': 88.90625, 'avg_performance': 4.745693064991637, 'metrics': {'content': 0.19, 'financial': 0, 'other': 0.09}}, {'date': datetime.date(2025, 2, 21), 'pass_count': 255, 'fail_count': 557, 'total_count': 812, 'hit_count': 669, 'win_rate': 31.40394088669951, 'hit_rate': 82.38916256157636, 'avg_performance': 4.234521785458939, 'metrics': {'financial': 0, 'content': 0, 'other': 0}}, {'date': datetime.date(2025, 2, 20), 'pass_count': 350, 'fail_count': 523, 'total_count': 873, 'hit_count': 768, 'win_rate': 40.09163802978236, 'hit_rate': 87.97250859106529, 'avg_performance': 5.541803511214516, 'metrics': {'content': 0.18, 'financial': 0, 'other': 0.09}}, {'date': datetime.date(2025, 2, 11), 'pass_count': 447, 'fail_count': 335, 'total_count': 782, 'hit_count': 725, 'win_rate': 57.16112531969309, 'hit_rate': 92.71099744245524, 'avg_performance': 8.267718347152574, 'metrics': {'financial': 0, 'content': 0, 'other': 0}}, {'date': datetime.date(2025, 2, 10), 'pass_count': 394, 'fail_count': 411, 'total_count': 805, 'hit_count': 724, 'win_rate': 48.94409937888199, 'hit_rate': 89.93788819875776, 'avg_performance': 6.7023557904378075, 'metrics': {'content': 0.18, 'financial': 0, 'other': 0.09}}, {'date': datetime.date(2025, 2, 7), 'pass_count': 393, 'fail_count': 421, 'total_count': 814, 'hit_count': 754, 'win_rate': 48.28009828009828, 'hit_rate': 92.62899262899263, 'avg_performance': 6.564924119357006, 'metrics': {'financial': 0, 'content': 0, 'other': 0}}, {'date': datetime.date(2025, 2, 6), 'pass_count': 365, 'fail_count': 428, 'total_count': 793, 'hit_count': 712, 'win_rate': 46.02774274905423, 'hit_rate': 89.78562421185372, 'avg_performance': 6.73188967864562, 'metrics': {'content': 0.18, 'financial': 0, 'other': 0.09}}, {'date': datetime.date(2025, 2, 5), 'pass_count': 530, 'fail_count': 292, 'total_count': 822, 'hit_count': 787, 'win_rate': 64.47688564476886, 'hit_rate': 95.74209245742092, 'avg_performance': 8.254510478117213, 'metrics': {'content': 0.2, 'financial': 0, 'other': 0.09}}, {'date': datetime.date(2025, 2, 4), 'pass_count': 651, 'fail_count': 157, 'total_count': 808, 'hit_count': 783, 'win_rate': 80.56930693069307, 'hit_rate': 96.9059405940594, 'avg_performance': 9.560514205627703, 'metrics': {'content': 0.2, 'financial': 0, 'other': 0.09}}, {'date': datetime.date(2025, 1, 31), 'pass_count': 410, 'fail_count': 350, 'total_count': 760, 'hit_count': 702, 'win_rate': 53.94736842105263, 'hit_rate': 92.36842105263158, 'avg_performance': 7.170192721927187, 'metrics': {'financial': 0, 'content': 0, 'other': 0}}, {'date': datetime.date(2025, 1, 29), 'pass_count': 475, 'fail_count': 231, 'total_count': 706, 'hit_count': 660, 'win_rate': 67.28045325779037, 'hit_rate': 93.48441926345609, 'avg_performance': 7.505109867034379, 'metrics': {'financial': 0, 'content': 0, 'other': 0}}, {'date': datetime.date(2025, 1, 28), 'pass_count': 427, 'fail_count': 297, 'total_count': 724, 'hit_count': 678, 'win_rate': 58.97790055248619, 'hit_rate': 93.646408839779, 'avg_performance': 6.475864275529779, 'metrics': {'content': 0.21, 'financial': 0, 'other': 0.09}}, {'date': datetime.date(2025, 1, 17), 'pass_count': 515, 'fail_count': 270, 'total_count': 785, 'hit_count': 747, 'win_rate': 65.60509554140127, 'hit_rate': 95.1592356687898, 'avg_performance': 8.258168625890248, 'metrics': {'financial': 0, 'content': 0, 'other': 0}}, {'date': datetime.date(2025, 1, 16), 'pass_count': 504, 'fail_count': 248, 'total_count': 752, 'hit_count': 712, 'win_rate': 67.02127659574468, 'hit_rate': 94.68085106382979, 'avg_performance': 8.25965820370542, 'metrics': {'content': 0.22, 'financial': 0, 'other': 0.08}}, {'date': datetime.date(2025, 1, 13), 'pass_count': 494, 'fail_count': 189, 'total_count': 683, 'hit_count': 627, 'win_rate': 72.32796486090776, 'hit_rate': 91.800878477306, 'avg_performance': 8.40706763306263, 'metrics': {'financial': 0, 'content': 0, 'other': 0}}, {'date': datetime.date(2025, 1, 10), 'pass_count': 313, 'fail_count': 336, 'total_count': 649, 'hit_count': 580, 'win_rate': 48.22804314329738, 'hit_rate': 89.36825885978428, 'avg_performance': 6.216963190616792, 'metrics': {'financial': 0, 'content': 0, 'other': 0}}, {'date': datetime.date(2025, 1, 3), 'pass_count': 615, 'fail_count': 192, 'total_count': 807, 'hit_count': 779, 'win_rate': 76.2081784386617, 'hit_rate': 96.53035935563817, 'avg_performance': 12.717622689978947, 'metrics': {'financial': 0, 'content': 0, 'other': 0}}, '...(remaining elements truncated)...']>}, 86400)	{}	<django.core.cache.backends.filebased.FileBasedCache object at 0x7f8de8588e90>
/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: Rolling LGBM 3d PH Platt 3% 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 (52 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