Date	# Tests	# Pass	# Fail	Win Rate	Hit Rate	% Perf
2025-03-13	642	408	234	63.55 %	92.52 %	7.25 %
2025-02-27	559	298	261	53.31 %	91.41 %	5.28 %
2025-02-25	694	383	311	55.19 %	90.63 %	5.86 %
2025-02-24	804	321	483	39.93 %	82.96 %	4.53 %
2025-02-14	855	529	326	61.87 %	95.67 %	8.03 %
2025-02-12	792	623	169	78.66 %	97.98 %	11.56 %
2025-02-10	805	394	411	48.94 %	90.06 %	6.70 %
2025-02-06	793	365	428	46.03 %	89.79 %	6.73 %
2025-02-05	822	530	292	64.48 %	95.74 %	8.25 %
2025-02-03	796	628	168	78.89 %	97.11 %	10.33 %
2025-01-27	767	473	294	61.67 %	94.00 %	6.20 %
2025-01-24	732	450	282	61.48 %	94.67 %	6.69 %
2025-01-23	754	548	206	72.68 %	96.15 %	8.88 %
2025-01-22	751	458	293	60.99 %	94.01 %	8.78 %
2025-01-16	752	504	248	67.02 %	94.68 %	8.26 %
2025-01-09	649	313	336	48.23 %	89.37 %	6.22 %
2025-01-07	762	373	389	48.95 %	92.65 %	6.15 %
2025-01-03	807	615	192	76.21 %	96.53 %	12.72 %
2024-12-27	680	354	326	52.06 %	93.24 %	11.34 %
2024-12-26	786	567	219	72.14 %	97.96 %	16.62 %
2024-12-24	822	588	234	71.53 %	96.84 %	13.02 %
2024-12-19	763	460	303	60.29 %	94.50 %	8.70 %
2024-12-16	866	546	320	63.05 %	93.42 %	9.81 %
2024-12-12	777	366	411	47.10 %	91.89 %	5.82 %
2024-12-11	788	363	425	46.07 %	89.21 %	4.99 %
2024-12-03	803	410	393	51.06 %	90.16 %	7.58 %
2024-12-02	800	445	355	55.63 %	91.75 %	7.44 %
2024-11-29	789	510	279	64.64 %	94.04 %	8.46 %
2024-11-27	812	585	227	72.04 %	96.55 %	9.13 %
2024-11-25	827	569	258	68.80 %	95.53 %	8.67 %
2024-11-13	867	407	460	46.94 %	89.50 %	5.95 %
2024-11-12	836	436	400	52.15 %	92.58 %	7.59 %
2024-11-08	832	571	261	68.63 %	94.47 %	9.47 %
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 %
2024-11-04	760	611	149	80.39 %	96.45 %	9.97 %
2024-11-01	787	506	281	64.29 %	95.43 %	6.61 %
2024-10-29	798	435	363	54.51 %	92.48 %	6.77 %
2024-10-22	781	373	408	47.76 %	91.93 %	5.80 %
2024-10-18	843	440	403	52.19 %	93.59 %	10.06 %
2024-10-17	825	418	407	50.67 %	92.36 %	7.72 %
2024-10-16	818	516	302	63.08 %	96.58 %	8.62 %

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	425.595 msec
System CPU time	3.700 msec
Total CPU time	429.295 msec
Elapsed time	1433.114 msec
Context switches	12 voluntary, 15 involuntary

Browser timing

Timing attribute	Timeline	Milliseconds since navigation start (+length)
domainLookup		33 (+44)
connect		77 (+132)
request		209 (+1986)
response		1921 (+274)
domLoading		1944 (+-1743889950587)
domInteractive		2415
domContentLoadedEvent		2415 (+11)
loadEvent		-1743889948643 (+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/63
QUERY_STRING
REMOTE_ADDR	3.133.94.82
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': 63}`	`model_detail`

No cookies

No session data

No GET data

No POST data

SQL queries from 1 connection

default 991.87 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" = 63 LIMIT 21SELECT ••• FROM "pl_model" WHERE "pl_model"."id" = 63 LIMIT 21		6.19
		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(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" = 63 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" = 63 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		31.41
		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" = 63 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" = 63 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		618.82
		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" = 63 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" = 63 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		157.43
		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" = 63 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" = 63 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		178.01
		Connection: default Transaction status: Idle /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/whitenoise/middleware.py in __call__(124) return self.get_response(request) /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_htmx/middleware.py in __call__(43) return self.get_response(request) /mnt/disks/pennyloupe_disk/pennyloupe/app/core/views/app.py in 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 (50 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: ' "'GnBu2M94x3bjzA01qtYok35gI5iOIi7VdUxCFzKxhxQem4fjvOuWQVcq4A3u6Fcb'>", 'messages': <FallbackStorage: request=<WSGIRequest: GET '/model/63'>>, 'perms': PermWrapper(<SimpleLazyObject: <django.contrib.auth.models.AnonymousUser object at 0x7f8de8d19050>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <django.contrib.auth.models.AnonymousUser object ' 'at 0x7f8de8d19050>>'} {'curve_data': [{'avg_performance': 2.61045834293206, 'bin': 0.4, 'count': 23, 'hit_count': 22, 'hit_rate': 95.65217391304348, 'total_count': 23, 'win_count': 7, 'win_rate': 30.434782608695652}, {'avg_performance': 5.695056968715591, 'bin': 0.5, 'count': 232, 'hit_count': 221, 'hit_rate': 95.25862068965517, 'total_count': 232, 'win_count': 100, 'win_rate': 43.10344827586207}, {'avg_performance': 6.959210141069423, 'bin': 0.6, 'count': 9037, 'hit_count': 8457, 'hit_rate': 93.5819409095939, 'total_count': 9037, 'win_count': 5000, 'win_rate': 55.32809560694921}, {'avg_performance': 8.652718935767851, 'bin': 0.7, 'count': 22308, 'hit_count': 20847, 'hit_rate': 93.45077998924152, 'total_count': 22308, 'win_count': 13970, 'win_rate': 62.6232741617357}, {'avg_performance': 11.994507233112959, 'bin': 0.8, 'count': 1693, 'hit_count': 1596, 'hit_rate': 94.27052569403426, 'total_count': 1693, 'win_count': 1166, 'win_rate': 68.87182516243355}, {'avg_performance': 11.350995987535235, 'bin': 0.9, 'count': 91, 'hit_count': 87, 'hit_rate': 95.6043956043956, 'total_count': 91, 'win_count': 60, 'win_rate': 65.93406593406593}], 'curve_data_by_week': {'2024-10-14': [{'avg_performance': 3.6838050441975554, 'bin': 0.4, 'count': 2, 'hit_count': 2, 'hit_rate': 100.0, 'total_count': 2, 'week': '2024-10-14', 'win_count': 1, 'win_rate': 50.0}, {'avg_performance': 3.75748529772485, 'bin': 0.5, 'count': 21, 'hit_count': 20, 'hit_rate': 95.23809523809524, 'total_count': 21, 'week': '2024-10-14', 'win_count': 10, 'win_rate': 47.61904761904762}, {'avg_performance': 8.843011196224975, 'bin': 0.6, 'count': 633, 'hit_count': 592, 'hit_rate': 93.52290679304897, 'total_count': 633, 'week': '2024-10-14', 'win_count': 299, 'win_rate': 47.23538704581359}, {'avg_performance': 8.785382453554806, 'bin': 0.7, 'count': 1701, 'hit_count': 1600, 'hit_rate': 94.06231628453851, 'total_count': 1701, 'week': '2024-10-14', 'win_count': 979, 'win_rate': 57.554379776602}, {'avg_performance': 10.074982235633737, 'bin': 0.8, 'count': 122, 'hit_count': 120, 'hit_rate': 98.36065573770492, 'total_count': 122, 'week': '2024-10-14', 'win_count': 80, 'win_rate': 65.57377049180327}, {'avg_performance': 5.67621649926957, 'bin': 0.9, 'count': 7, 'hit_count': 7, 'hit_rate': 100.0, 'total_count': 7, 'week': '2024-10-14', 'win_count': 5, 'win_rate': 71.42857142857143}], '2024-10-21': [{'avg_performance': 1.1602100738627763, 'bin': 0.5, 'count': 7, 'hit_count': 5, 'hit_rate': 71.42857142857143, 'total_count': 7, 'week': '2024-10-21', 'win_count': 0, 'win_rate': 0.0}, {'avg_performance': 5.45904881572832, 'bin': 0.6, 'count': 193, 'hit_count': 173, 'hit_rate': 89.63730569948187, 'total_count': 193, 'week': '2024-10-21', 'win_count': 79, 'win_rate': 40.932642487046635}, {'avg_performance': 5.842479813601988, 'bin': 0.7, 'count': 542, 'hit_count': 501, 'hit_rate': 92.43542435424354, 'total_count': 542, 'week': '2024-10-21', 'win_count': 268, 'win_rate': 49.44649446494465}, {'avg_performance': 7.779980676329335, 'bin': 0.8, 'count': 39, 'hit_count': 39, 'hit_rate': 100.0, 'total_count': 39, 'week': '2024-10-21', 'win_count': 26, 'win_rate': 66.66666666666667}], '2024-10-28': [{'avg_performance': 1.1681669686291878, 'bin': 0.4, 'count': 2, 'hit_count': 2, 'hit_rate': 100.0, 'total_count': 2, 'week': '2024-10-28', 'win_count': 0, 'win_rate': 0.0}, {'avg_performance': 2.8454961229830724, 'bin': 0.5, 'count': 14, 'hit_count': 14, 'hit_rate': 100.0, 'total_count': 14, 'week': '2024-10-28', 'win_count': 3, 'win_rate': 21.428571428571427}, {'avg_performance': 5.749167490487099, 'bin': 0.6, 'count': 480, 'hit_count': 447, 'hit_rate': 93.125, 'total_count': 480, 'week': '2024-10-28', 'win_count': 252, 'win_rate': 52.5}, {'avg_performance': 7.0328200592812955, 'bin': 0.7, 'count': 1025, 'hit_count': 965, 'hit_rate': 94.14634146341463, 'total_count': 1025, 'week': '2024-10-28', 'win_count': 645, 'win_rate': 62.926829268292686}, {'avg_performance': 9.324435181202258, 'bin': 0.8, 'count': 63, 'hit_count': 60, 'hit_rate': 95.23809523809524, 'total_count': 63, 'week': '2024-10-28', 'win_count': 40, 'win_rate': 63.492063492063494}, {'avg_performance': 4.464285714285707, 'bin': 0.9, 'count': 1, 'hit_count': 1, 'hit_rate': 100.0, 'total_count': 1, 'week': '2024-10-28', 'win_count': 1, 'win_rate': 100.0}], '2024-11-04': [{'avg_performance': 6.999518679234474, 'bin': 0.4, 'count': 5, 'hit_count': 5, 'hit_rate': 100.0, 'total_count': 5, 'week': '2024-11-04', 'win_count': 5, 'win_rate': 100.0}, {'avg_performance': 8.198316316551873, 'bin': 0.5, 'count': 35, 'hit_count': 34, 'hit_rate': 97.14285714285714, 'total_count': 35, 'week': '2024-11-04', 'win_count': 18, 'win_rate': 51.42857142857143}, {'avg_performance': 8.906989221567661, 'bin': 0.6, 'count': 1265, 'hit_count': 1207, 'hit_rate': 95.41501976284584, 'total_count': 1265, 'week': '2024-11-04', 'win_count': 905, 'win_rate': 71.54150197628458}, {'avg_performance': 10.00501752210401, 'bin': 0.7, 'count': 2402, 'hit_count': 2284, 'hit_rate': 95.08742714404663, 'total_count': 2402, 'week': '2024-11-04', 'win_count': 1813, 'win_rate': 75.47876769358868}, {'avg_performance': 12.404219838352722, 'bin': 0.8, 'count': 73, 'hit_count': 67, 'hit_rate': 91.78082191780823, 'total_count': 73, 'week': '2024-11-04', 'win_count': 55, 'win_rate': 75.34246575342466}], '2024-11-11': [{'avg_performance': 0.1039501039501202, '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': 12.687436798015913, 'bin': 0.5, 'count': 18, 'hit_count': 18, 'hit_rate': 100.0, 'total_count': 18, 'week': '2024-11-11', 'win_count': 7, 'win_rate': 38.888888888888886}, {'avg_performance': 7.385473248534797, 'bin': 0.6, 'count': 524, 'hit_count': 486, 'hit_rate': 92.74809160305344, 'total_count': 524, 'week': '2024-11-11', 'win_count': 246, 'win_rate': 46.94656488549618}, {'avg_performance': 6.417436205450064, 'bin': 0.7, 'count': 1107, 'hit_count': 1000, 'hit_rate': 90.33423667570008, 'total_count': 1107, 'week': '2024-11-11', 'win_count': 562, 'win_rate': 50.76784101174345}, {'avg_performance': 5.626991550194624, 'bin': 0.8, 'count': 53, 'hit_count': 45, 'hit_rate': 84.90566037735849, 'total_count': 53, 'week': '2024-11-11', 'win_count': 28, 'win_rate': 52.83018867924528}], '2024-11-25': [{'avg_performance': 1.1363636363636305, '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': 11.159847788586829, 'bin': 0.5, 'count': 11, 'hit_count': 11, 'hit_rate': 100.0, 'total_count': 11, 'week': '2024-11-25', 'win_count': 5, 'win_rate': 45.45454545454545}, {'avg_performance': 7.188087886909875, 'bin': 0.6, 'count': 605, 'hit_count': 575, 'hit_rate': 95.04132231404958, 'total_count': 605, 'week': '2024-11-25', 'win_count': 378, 'win_rate': 62.47933884297521}, {'avg_performance': 8.792625263455584, 'bin': 0.7, 'count': 1669, 'hit_count': 1591, 'hit_rate': 95.32654284002396, 'total_count': 1669, 'week': '2024-11-25', 'win_count': 1170, 'win_rate': 70.10185739964051}, {'avg_performance': 14.86922089635661, 'bin': 0.8, 'count': 138, 'hit_count': 134, 'hit_rate': 97.10144927536231, 'total_count': 138, 'week': '2024-11-25', 'win_count': 107, 'win_rate': 77.53623188405797}, {'avg_performance': 16.290869892418275, 'bin': 0.9, 'count': 4, 'hit_count': 4, 'hit_rate': 100.0, 'total_count': 4, 'week': '2024-11-25', 'win_count': 4, 'win_rate': 100.0}], '2024-12-02': [{'avg_performance': 0.46875101619628023, 'bin': 0.4, 'count': 2, 'hit_count': 2, 'hit_rate': 100.0, 'total_count': 2, 'week': '2024-12-02', 'win_count': 0, 'win_rate': 0.0}, {'avg_performance': 4.513412062467219, 'bin': 0.5, 'count': 6, 'hit_count': 6, 'hit_rate': 100.0, 'total_count': 6, 'week': '2024-12-02', 'win_count': 3, 'win_rate': 50.0}, {'avg_performance': 6.671040103439281, 'bin': 0.6, 'count': 377, 'hit_count': 341, 'hit_rate': 90.45092838196287, 'total_count': 377, 'week': '2024-12-02', 'win_count': 182, 'win_rate': 48.275862068965516}, {'avg_performance': 7.552515335287126, 'bin': 0.7, 'count': 1142, 'hit_count': 1037, 'hit_rate': 90.80560420315237, 'total_count': 1142, 'week': '2024-12-02', 'win_count': 619, 'win_rate': 54.20315236427321}, {'avg_performance': 11.85933219792813, 'bin': 0.8, 'count': 71, 'hit_count': 67, 'hit_rate': 94.36619718309859, 'total_count': 71, 'week': 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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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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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'bin': 0.6, 'count': 598, 'hit_count': 563, 'hit_rate': 94.14715719063545, 'total_count': 598, 'week': '2025-02-03', 'win_count': 333, 'win_rate': 55.68561872909699}, {'avg_performance': 9.1249611536508, 'bin': 0.7, 'count': 1651, 'hit_count': 1551, 'hit_rate': 93.94306480920655, 'total_count': 1651, 'week': '2025-02-03', 'win_count': 1069, 'win_rate': 64.74863718958207}, {'avg_performance': 12.718995101422149, 'bin': 0.8, 'count': 136, 'hit_count': 132, 'hit_rate': 97.05882352941177, 'total_count': 136, 'week': '2025-02-03', 'win_count': 105, 'win_rate': 77.20588235294117}, {'avg_performance': 21.857516575579027, 'bin': 0.9, 'count': 9, 'hit_count': 9, 'hit_rate': 100.0, 'total_count': 9, 'week': '2025-02-03', 'win_count': 8, 'win_rate': 88.88888888888889}], '2025-02-10': [{'avg_performance': 0.7867561296846847, 'bin': 0.4, 'count': 3, 'hit_count': 3, 'hit_rate': 100.0, 'total_count': 3, 'week': '2025-02-10', 'win_count': 0, 'win_rate': 0.0}, {'avg_performance': 4.315589453440676, 'bin': 0.5, 'count': 26, 'hit_count': 24, 'hit_rate': 92.3076923076923, 'total_count': 26, 'week': '2025-02-10', 'win_count': 12, 'win_rate': 46.15384615384615}, {'avg_performance': 7.3019590218562485, 'bin': 0.6, 'count': 588, 'hit_count': 562, 'hit_rate': 95.578231292517, 'total_count': 588, 'week': '2025-02-10', 'win_count': 332, 'win_rate': 56.46258503401361}, {'avg_performance': 9.068873709810854, 'bin': 0.7, 'count': 1666, 'hit_count': 1573, 'hit_rate': 94.41776710684273, 'total_count': 1666, 'week': '2025-02-10', 'win_count': 1091, 'win_rate': 65.48619447779112}, {'avg_performance': 11.38667774615205, 'bin': 0.8, 'count': 160, 'hit_count': 148, 'hit_rate': 92.5, 'total_count': 160, 'week': '2025-02-10', 'win_count': 103, 'win_rate': 64.375}, {'avg_performance': 9.375161555186818, 'bin': 0.9, 'count': 9, 'hit_count': 9, 'hit_rate': 100.0, 'total_count': 9, 'week': '2025-02-10', 'win_count': 8, 'win_rate': 88.88888888888889}], '2025-02-24': [{'avg_performance': 0.633658008658012, 'bin': 0.4, 'count': 3, 'hit_count': 2, 'hit_rate': 66.66666666666667, 'total_count': 3, 'week': '2025-02-24', 'win_count': 0, 'win_rate': 0.0}, {'avg_performance': 3.7516082214636386, 'bin': 0.5, 'count': 13, 'hit_count': 11, 'hit_rate': 84.61538461538461, 'total_count': 13, 'week': '2025-02-24', 'win_count': 5, 'win_rate': 38.46153846153846}, {'avg_performance': 4.286032703011432, 'bin': 0.6, 'count': 573, 'hit_count': 512, 'hit_rate': 89.3542757417103, 'total_count': 573, 'week': '2025-02-24', 'win_count': 268, 'win_rate': 46.77137870855148}, {'avg_performance': 5.605259551522709, 'bin': 0.7, 'count': 1385, 'hit_count': 1215, 'hit_rate': 87.72563176895306, 'total_count': 1385, 'week': '2025-02-24', 'win_count': 693, 'win_rate': 50.03610108303249}, {'avg_performance': 4.571824428943712, 'bin': 0.8, 'count': 81, 'hit_count': 65, 'hit_rate': 80.24691358024691, 'total_count': 81, 'week': '2025-02-24', 'win_count': 34, 'win_rate': 41.97530864197531}, {'avg_performance': 10.010237026537526, 'bin': 0.9, 'count': 2, 'hit_count': 2, 'hit_rate': 100.0, 'total_count': 2, 'week': '2025-02-24', 'win_count': 2, 'win_rate': 100.0}], '2025-03-10': [{'avg_performance': 6.028368794326254, 'bin': 0.4, 'count': 1, 'hit_count': 1, 'hit_rate': 100.0, 'total_count': 1, 'week': '2025-03-10', 'win_count': 1, 'win_rate': 100.0}, {'avg_performance': 5.00978946724507, 'bin': 0.5, 'count': 7, 'hit_count': 6, 'hit_rate': 85.71428571428571, 'total_count': 7, 'week': '2025-03-10', 'win_count': 4, 'win_rate': 57.142857142857146}, {'avg_performance': 7.242901096619368, 'bin': 0.6, 'count': 214, 'hit_count': 199, 'hit_rate': 92.99065420560747, 'total_count': 214, 'week': '2025-03-10', 'win_count': 140, 'win_rate': 65.42056074766356}, {'avg_performance': 7.182728272932653, 'bin': 0.7, 'count': 399, 'hit_count': 367, 'hit_rate': 91.97994987468671, 'total_count': 399, 'week': '2025-03-10', 'win_count': 247, 'win_rate': 61.904761904761905}, {'avg_performance': 9.428523408153335, 'bin': 0.8, 'count': 19, 'hit_count': 19, 'hit_rate': 100.0, 'total_count': 19, 'week': '2025-03-10', 'win_count': 15, 'win_rate': 78.94736842105263}, {'avg_performance': 8.39482272249572, 'bin': 0.9, 'count': 2, 'hit_count': 2, 'hit_rate': 100.0, 'total_count': 2, 'week': '2025-03-10', 'win_count': 1, 'win_rate': 50.0}]}, 'curve_data_week_list': ['2024-10-14', '2024-10-21', '2024-10-28', '2024-11-04', '2024-11-11', '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', '2025-02-10', '2025-02-24', '2025-03-10'], 'date_from': datetime.date(2024, 10, 7), 'date_to': datetime.date(2025, 4, 5), 'kpis': {'avg_gain': 8.346398610205755, 'fail_count': 13081, 'hit_count': 31230, 'hit_rate': 93.54780733285406, 'pass_count': 20303, 'total_tests': 33384, 'win_rate': 60.81655883057752}, 'last_metrics': <ModelMetrics: Rolling CatBoost 3d PH Platt 3% Metrics: 2025-04-04 >, 'model': <Model: Rolling CatBoost 3d PH Platt 3% (rolling-ph-cb-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': 2.61045834293206, 'bin': 0.4, 'count': 23, 'hit_count': 22, 'hit_rate': 95.65217391304348, 'total_count': 23, 'win_count': 7, 'win_rate': 30.434782608695652}, {'avg_performance': 5.695056968715591, 'bin': 0.5, 'count': 232, 'hit_count': 221, 'hit_rate': 95.25862068965517, 'total_count': 232, 'win_count': 100, 'win_rate': 43.10344827586207}, {'avg_performance': 6.959210141069423, 'bin': 0.6, 'count': 9037, 'hit_count': 8457, 'hit_rate': 93.5819409095939, 'total_count': 9037, 'win_count': 5000, 'win_rate': 55.32809560694921}, {'avg_performance': 8.652718935767851, 'bin': 0.7, 'count': 22308, 'hit_count': 20847, 'hit_rate': 93.45077998924152, 'total_count': 22308, 'win_count': 13970, 'win_rate': 62.6232741617357}, {'avg_performance': 11.994507233112959, 'bin': 0.8, 'count': 1693, 'hit_count': 1596, 'hit_rate': 94.27052569403426, 'total_count': 1693, 'win_count': 1166, 'win_rate': 68.87182516243355}, {'avg_performance': 11.350995987535235, 'bin': 0.9, 'count': 91, 'hit_count': 87, 'hit_rate': 95.6043956043956, 'total_count': 91, 'win_count': 60, 'win_rate': 65.93406593406593}]}

Context processors

django.template.context_processors.csrf: Toggle context
{'csrf_token': <SimpleLazyObject: 'GnBu2M94x3bjzA01qtYok35gI5iOIi7VdUxCFzKxhxQem4fjvOuWQVcq4A3u6Fcb'>}
django.template.context_processors.debug: Toggle context
{}
django.template.context_processors.request: Toggle context
{'request': <WSGIRequest: GET '/model/63'>}
django.contrib.auth.context_processors.auth: Toggle context
{'user': <SimpleLazyObject: <django.contrib.auth.models.AnonymousUser object at 0x7f8de8d19050>>, 'perms': PermWrapper(<SimpleLazyObject: <django.contrib.auth.models.AnonymousUser object at 0x7f8de8d19050>>)}
django.contrib.messages.context_processors.messages: Toggle context
{'messages': <FallbackStorage: request=<WSGIRequest: GET '/model/63'>>, '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	5.51222637295723 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
0.3432	get	('model_detail_b855cfcb3f13',)	{}	<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)
5.1690	set	('model_detail_b855cfcb3f13', {'model': <Model: Rolling CatBoost 3d PH Platt 3% (rolling-ph-cb-p3-seq3-platt v1)>, 'last_metrics': <ModelMetrics: Rolling CatBoost 3d PH Platt 3% Metrics: 2025-04-04 >, 'kpis': {'total_tests': 33384, 'pass_count': 20303, 'fail_count': 13081, 'hit_count': 31230, 'win_rate': 60.81655883057752, 'hit_rate': 93.54780733285406, 'avg_gain': 8.346398610205755}, 'curve_data': [{'bin': 0.4, 'total_count': 23, 'hit_count': 22, 'win_count': 7, 'avg_performance': 2.61045834293206, 'hit_rate': 95.65217391304348, 'win_rate': 30.434782608695652, 'count': 23}, {'bin': 0.5, 'total_count': 232, 'hit_count': 221, 'win_count': 100, 'avg_performance': 5.695056968715591, 'hit_rate': 95.25862068965517, 'win_rate': 43.10344827586207, 'count': 232}, {'bin': 0.6, 'total_count': 9037, 'hit_count': 8457, 'win_count': 5000, 'avg_performance': 6.959210141069423, 'hit_rate': 93.5819409095939, 'win_rate': 55.32809560694921, 'count': 9037}, {'bin': 0.7, 'total_count': 22308, 'hit_count': 20847, 'win_count': 13970, 'avg_performance': 8.652718935767851, 'hit_rate': 93.45077998924152, 'win_rate': 62.6232741617357, 'count': 22308}, {'bin': 0.8, 'total_count': 1693, 'hit_count': 1596, 'win_count': 1166, 'avg_performance': 11.994507233112959, 'hit_rate': 94.27052569403426, 'win_rate': 68.87182516243355, 'count': 1693}, {'bin': 0.9, 'total_count': 91, 'hit_count': 87, 'win_count': 60, 'avg_performance': 11.350995987535235, 'hit_rate': 95.6043956043956, 'win_rate': 65.93406593406593, 'count': 91}], 'curve_data_by_week': {'2024-10-14': [{'week': '2024-10-14', 'bin': 0.4, 'total_count': 2, 'hit_count': 2, 'win_count': 1, 'avg_performance': 3.6838050441975554, 'hit_rate': 100.0, 'win_rate': 50.0, 'count': 2}, {'week': '2024-10-14', 'bin': 0.5, 'total_count': 21, 'hit_count': 20, 'win_count': 10, 'avg_performance': 3.75748529772485, 'hit_rate': 95.23809523809524, 'win_rate': 47.61904761904762, 'count': 21}, {'week': '2024-10-14', 'bin': 0.6, 'total_count': 633, 'hit_count': 592, 'win_count': 299, 'avg_performance': 8.843011196224975, 'hit_rate': 93.52290679304897, 'win_rate': 47.23538704581359, 'count': 633}, {'week': '2024-10-14', 'bin': 0.7, 'total_count': 1701, 'hit_count': 1600, 'win_count': 979, 'avg_performance': 8.785382453554806, 'hit_rate': 94.06231628453851, 'win_rate': 57.554379776602, 'count': 1701}, {'week': '2024-10-14', 'bin': 0.8, 'total_count': 122, 'hit_count': 120, 'win_count': 80, 'avg_performance': 10.074982235633737, 'hit_rate': 98.36065573770492, 'win_rate': 65.57377049180327, 'count': 122}, {'week': '2024-10-14', 'bin': 0.9, 'total_count': 7, 'hit_count': 7, 'win_count': 5, 'avg_performance': 5.67621649926957, 'hit_rate': 100.0, 'win_rate': 71.42857142857143, 'count': 7}], '2024-10-21': [{'week': '2024-10-21', 'bin': 0.5, 'total_count': 7, 'hit_count': 5, 'win_count': 0, 'avg_performance': 1.1602100738627763, 'hit_rate': 71.42857142857143, 'win_rate': 0.0, 'count': 7}, {'week': '2024-10-21', 'bin': 0.6, 'total_count': 193, 'hit_count': 173, 'win_count': 79, 'avg_performance': 5.45904881572832, 'hit_rate': 89.63730569948187, 'win_rate': 40.932642487046635, 'count': 193}, {'week': '2024-10-21', 'bin': 0.7, 'total_count': 542, 'hit_count': 501, 'win_count': 268, 'avg_performance': 5.842479813601988, 'hit_rate': 92.43542435424354, 'win_rate': 49.44649446494465, 'count': 542}, {'week': '2024-10-21', 'bin': 0.8, 'total_count': 39, 'hit_count': 39, 'win_count': 26, 'avg_performance': 7.779980676329335, 'hit_rate': 100.0, 'win_rate': 66.66666666666667, 'count': 39}], '2024-10-28': [{'week': '2024-10-28', 'bin': 0.4, 'total_count': 2, 'hit_count': 2, 'win_count': 0, 'avg_performance': 1.1681669686291878, 'hit_rate': 100.0, 'win_rate': 0.0, 'count': 2}, {'week': '2024-10-28', 'bin': 0.5, 'total_count': 14, 'hit_count': 14, 'win_count': 3, 'avg_performance': 2.8454961229830724, 'hit_rate': 100.0, 'win_rate': 21.428571428571427, 'count': 14}, {'week': '2024-10-28', 'bin': 0.6, 'total_count': 480, 'hit_count': 447, 'win_count': 252, 'avg_performance': 5.749167490487099, 'hit_rate': 93.125, 'win_rate': 52.5, 'count': 480}, {'week': '2024-10-28', 'bin': 0.7, 'total_count': 1025, 'hit_count': 965, 'win_count': 645, 'avg_performance': 7.0328200592812955, 'hit_rate': 94.14634146341463, 'win_rate': 62.926829268292686, 'count': 1025}, {'week': '2024-10-28', 'bin': 0.8, 'total_count': 63, 'hit_count': 60, 'win_count': 40, 'avg_performance': 9.324435181202258, 'hit_rate': 95.23809523809524, 'win_rate': 63.492063492063494, 'count': 63}, {'week': '2024-10-28', 'bin': 0.9, 'total_count': 1, 'hit_count': 1, 'win_count': 1, 'avg_performance': 4.464285714285707, 'hit_rate': 100.0, 'win_rate': 100.0, 'count': 1}], '2024-11-04': [{'week': '2024-11-04', 'bin': 0.4, 'total_count': 5, 'hit_count': 5, 'win_count': 5, 'avg_performance': 6.999518679234474, 'hit_rate': 100.0, 'win_rate': 100.0, 'count': 5}, {'week': '2024-11-04', 'bin': 0.5, 'total_count': 35, 'hit_count': 34, 'win_count': 18, 'avg_performance': 8.198316316551873, 'hit_rate': 97.14285714285714, 'win_rate': 51.42857142857143, 'count': 35}, {'week': '2024-11-04', 'bin': 0.6, 'total_count': 1265, 'hit_count': 1207, 'win_count': 905, 'avg_performance': 8.906989221567661, 'hit_rate': 95.41501976284584, 'win_rate': 71.54150197628458, 'count': 1265}, {'week': '2024-11-04', 'bin': 0.7, 'total_count': 2402, 'hit_count': 2284, 'win_count': 1813, 'avg_performance': 10.00501752210401, 'hit_rate': 95.08742714404663, 'win_rate': 75.47876769358868, 'count': 2402}, {'week': '2024-11-04', 'bin': 0.8, 'total_count': 73, 'hit_count': 67, 'win_count': 55, 'avg_performance': 12.404219838352722, 'hit_rate': 91.78082191780823, 'win_rate': 75.34246575342466, 'count': 73}], '2024-11-11': [{'week': '2024-11-11', 'bin': 0.4, 'total_count': 1, 'hit_count': 1, 'win_count': 0, 'avg_performance': 0.1039501039501202, 'hit_rate': 100.0, 'win_rate': 0.0, 'count': 1}, {'week': '2024-11-11', 'bin': 0.5, 'total_count': 18, 'hit_count': 18, 'win_count': 7, 'avg_performance': 12.687436798015913, 'hit_rate': 100.0, 'win_rate': 38.888888888888886, 'count': 18}, {'week': '2024-11-11', 'bin': 0.6, 'total_count': 524, 'hit_count': 486, 'win_count': 246, 'avg_performance': 7.385473248534797, 'hit_rate': 92.74809160305344, 'win_rate': 46.94656488549618, 'count': 524}, {'week': '2024-11-11', 'bin': 0.7, 'total_count': 1107, 'hit_count': 1000, 'win_count': 562, 'avg_performance': 6.417436205450064, 'hit_rate': 90.33423667570008, 'win_rate': 50.76784101174345, 'count': 1107}, {'week': '2024-11-11', 'bin': 0.8, 'total_count': 53, 'hit_count': 45, 'win_count': 28, 'avg_performance': 5.626991550194624, 'hit_rate': 84.90566037735849, 'win_rate': 52.83018867924528, 'count': 53}], '2024-11-25': [{'week': '2024-11-25', 'bin': 0.4, 'total_count': 1, 'hit_count': 1, 'win_count': 0, 'avg_performance': 1.1363636363636305, 'hit_rate': 100.0, 'win_rate': 0.0, 'count': 1}, {'week': '2024-11-25', 'bin': 0.5, 'total_count': 11, 'hit_count': 11, 'win_count': 5, 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'avg_performance': 8.875168954420696, 'metrics': {'content': 0.43, 'financial': 0, 'other': 0.13}}, {'date': datetime.date(2025, 1, 22), 'pass_count': 458, 'fail_count': 293, 'total_count': 751, 'hit_count': 706, 'win_rate': 60.98535286284953, 'hit_rate': 94.00798934753662, 'avg_performance': 8.775866901081379, 'metrics': {'content': 0.47, 'financial': 0, 'other': 0.13}}, {'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': {'financial': 0, 'content': 0, 'other': 0}}, {'date': datetime.date(2025, 1, 9), 'pass_count': 313, 'fail_count': 336, 'total_count': 649, 'hit_count': 580, 'win_rate': 48.22804314329738, 'hit_rate': 89.36825885978428, 'avg_performance': 6.216963190616793, 'metrics': {'financial': 0, 'content': 0, 'other': 0}}, {'date': datetime.date(2025, 1, 7), 'pass_count': 373, 'fail_count': 389, 'total_count': 762, 'hit_count': 706, 'win_rate': 48.9501312335958, 'hit_rate': 92.6509186351706, 'avg_performance': 6.153973765680094, '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': 12.717622689978944, 'metrics': {'financial': 0, 'content': 0, 'other': 0}}, {'date': datetime.date(2024, 12, 27), 'pass_count': 354, 'fail_count': 326, 'total_count': 680, 'hit_count': 634, 'win_rate': 52.05882352941177, 'hit_rate': 93.23529411764706, 'avg_performance': 11.336372442933545, 'metrics': {'financial': 0, 'content': 0, 'other': 0}}, {'date': datetime.date(2024, 12, 26), 'pass_count': 567, 'fail_count': 219, 'total_count': 786, 'hit_count': 770, 'win_rate': 72.13740458015268, 'hit_rate': 97.96437659033079, 'avg_performance': 16.615555823976482, 'metrics': {'content': 0.53, 'financial': 0, 'other': 0.13}}, '...(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 CatBoost 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 (50 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