Date	# Tests	# Pass	# Fail	Win Rate	Hit Rate	% Perf
2025-03-14	636	498	138	78.30 %	97.96 %	9.69 %
2025-03-13	557	361	196	64.81 %	91.38 %	7.56 %
2025-03-11	449	325	124	72.38 %	93.99 %	8.85 %
2025-03-10	714	391	323	54.76 %	93.56 %	5.69 %
2025-03-05	618	429	189	69.42 %	95.47 %	9.03 %
2025-02-26	407	272	135	66.83 %	95.33 %	6.53 %
2025-02-21	650	199	451	30.62 %	82.15 %	3.92 %
2025-02-03	857	678	179	79.11 %	96.97 %	10.17 %
2025-01-30	619	391	228	63.17 %	94.83 %	7.97 %
2025-01-24	657	409	248	62.25 %	95.28 %	6.83 %
2025-01-23	641	473	168	73.79 %	96.72 %	8.25 %
2025-01-22	490	300	190	61.22 %	94.69 %	8.67 %
2025-01-17	569	380	189	66.78 %	96.13 %	8.79 %
2025-01-15	606	419	187	69.14 %	96.04 %	9.09 %
2025-01-13	732	519	213	70.90 %	92.49 %	7.98 %
2025-01-09	502	230	272	45.82 %	88.65 %	5.39 %
2025-01-08	524	185	339	35.31 %	85.88 %	5.43 %
2025-01-02	853	680	173	79.72 %	97.66 %	14.00 %
2024-12-24	601	420	181	69.88 %	97.34 %	13.16 %
2024-12-19	530	315	215	59.43 %	93.21 %	9.29 %
2024-12-16	913	566	347	61.99 %	93.43 %	9.74 %
2024-12-13	742	413	329	55.66 %	92.72 %	8.46 %
2024-12-11	639	288	351	45.07 %	88.58 %	5.02 %
2024-12-09	890	560	330	62.92 %	96.52 %	8.25 %
2024-12-03	635	329	306	51.81 %	90.87 %	7.56 %
2024-11-27	703	507	196	72.12 %	96.44 %	9.43 %
2024-11-25	828	565	263	68.24 %	96.26 %	8.49 %
2024-11-22	732	595	137	81.28 %	98.09 %	12.75 %
2024-11-18	961	578	383	60.15 %	92.09 %	7.91 %
2024-11-15	814	374	440	45.95 %	84.64 %	6.79 %
2024-11-14	828	404	424	48.79 %	89.13 %	6.48 %
2024-11-12	944	493	451	52.22 %	93.43 %	7.78 %
2024-11-07	684	472	212	69.01 %	94.59 %	10.12 %
2024-11-06	556	382	174	68.71 %	91.73 %	8.49 %
2024-11-05	505	428	77	84.75 %	97.03 %	11.32 %
2024-11-01	574	371	203	64.63 %	94.43 %	7.15 %
2024-10-29	609	332	277	54.52 %	92.12 %	6.95 %
2024-10-25	695	429	266	61.73 %	95.40 %	7.86 %
2024-10-24	653	429	224	65.70 %	95.10 %	8.18 %
2024-10-21	800	332	468	41.50 %	88.50 %	7.17 %
2024-10-18	679	358	321	52.72 %	93.37 %	8.65 %
2024-10-17	627	330	297	52.63 %	93.30 %	8.56 %
2024-10-16	693	434	259	62.63 %	96.39 %	7.89 %
2024-10-11	546	420	126	76.92 %	96.89 %	9.05 %
2024-10-10	776	554	222	71.39 %	96.65 %	7.37 %

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	187.167 msec
System CPU time	8.253 msec
Total CPU time	195.420 msec
Elapsed time	1994.930 msec
Context switches	13 voluntary, 2 involuntary

Browser timing

Timing attribute	Timeline	Milliseconds since navigation start (+length)
domainLookup		12 (+47)
connect		59 (+108)
request		168 (+2461)
response		2359 (+270)
domLoading		2381 (+-1743871900155)
domInteractive		2843
domContentLoadedEvent		2843 (+11)
loadEvent		-1743871897774 (+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/61
QUERY_STRING
REMOTE_ADDR	18.191.232.50
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': 61}`	`model_detail`

No cookies

No session data

No GET data

No POST data

SQL queries from 1 connection

default 1798.24 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" = 61 LIMIT 21SELECT ••• FROM "pl_model" WHERE "pl_model"."id" = 61 LIMIT 21		1.77
		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" = 61 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" = 61 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		8.38
		Connection: default Transaction status: Idle /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/whitenoise/middleware.py in __call__(124) return self.get_response(request) /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_htmx/middleware.py in __call__(43) return self.get_response(request) /mnt/disks/pennyloupe_disk/pennyloupe/app/core/views/app.py in model_detail(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" = 61 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" = 61 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		1514.32
		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" = 61 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" = 61 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		137.58
		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" = 61 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" = 61 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		136.19
		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(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: ' "'Ug6wwe35THbADW1ZsY2D1iZkBdOjvilMpfGLkNwF1KQarTPBh6f3T845ad38gnM0'>", 'messages': <FallbackStorage: request=<WSGIRequest: GET '/model/61'>>, 'perms': PermWrapper(<SimpleLazyObject: <django.contrib.auth.models.AnonymousUser object at 0x7f8de84ec750>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <django.contrib.auth.models.AnonymousUser object ' 'at 0x7f8de84ec750>>'} {'curve_data': [{'avg_performance': 1.2504894131199589, 'bin': 0.2, 'count': 6, 'hit_count': 6, 'hit_rate': 100.0, 'total_count': 6, 'win_count': 0, 'win_rate': 0.0}, {'avg_performance': 7.028663507041953, 'bin': 0.3, 'count': 36, 'hit_count': 34, 'hit_rate': 94.44444444444444, 'total_count': 36, 'win_count': 13, 'win_rate': 36.111111111111114}, {'avg_performance': 9.432175772160651, 'bin': 0.4, 'count': 94, 'hit_count': 89, 'hit_rate': 94.68085106382979, 'total_count': 94, 'win_count': 27, 'win_rate': 28.72340425531915}, {'avg_performance': 5.44822039735625, 'bin': 0.5, 'count': 345, 'hit_count': 327, 'hit_rate': 94.78260869565217, 'total_count': 345, 'win_count': 147, 'win_rate': 42.608695652173914}, {'avg_performance': 6.276983864727436, 'bin': 0.6, 'count': 2238, 'hit_count': 2118, 'hit_rate': 94.63806970509384, 'total_count': 2238, 'win_count': 1176, 'win_rate': 52.54691689008043}, {'avg_performance': 8.533575402218842, 'bin': 0.7, 'count': 25724, 'hit_count': 24056, 'hit_rate': 93.51578292645, 'total_count': 25724, 'win_count': 16266, 'win_rate': 63.232778728036074}, {'avg_performance': 8.86255964112395, 'bin': 0.8, 'count': 1793, 'hit_count': 1681, 'hit_rate': 93.75348577802565, 'total_count': 1793, 'win_count': 1187, 'win_rate': 66.20189626324596}, {'avg_performance': 11.998842090027502, 'bin': 0.9, 'count': 2, 'hit_count': 2, 'hit_rate': 100.0, 'total_count': 2, 'win_count': 1, 'win_rate': 50.0}], 'curve_data_by_week': {'2024-10-07': [{'avg_performance': 8.164127436473585, 'bin': 0.4, 'count': 2, 'hit_count': 2, 'hit_rate': 100.0, 'total_count': 2, 'week': '2024-10-07', 'win_count': 1, 'win_rate': 50.0}, {'avg_performance': 5.26552716148981, 'bin': 0.5, 'count': 11, 'hit_count': 11, 'hit_rate': 100.0, 'total_count': 11, 'week': '2024-10-07', 'win_count': 3, 'win_rate': 27.272727272727273}, {'avg_performance': 5.134353802031955, 'bin': 0.6, 'count': 89, 'hit_count': 86, 'hit_rate': 96.62921348314607, 'total_count': 89, 'week': '2024-10-07', 'win_count': 47, 'win_rate': 52.80898876404494}, {'avg_performance': 8.070123830986233, 'bin': 0.7, 'count': 1047, 'hit_count': 1015, 'hit_rate': 96.94364851957975, 'total_count': 1047, 'week': '2024-10-07', 'win_count': 791, 'win_rate': 75.54918815663801}, {'avg_performance': 9.68536888753788, 'bin': 0.8, 'count': 171, 'hit_count': 163, 'hit_rate': 95.32163742690058, 'total_count': 171, 'week': '2024-10-07', 'win_count': 131, 'win_rate': 76.60818713450293}, {'avg_performance': 11.998842090027502, 'bin': 0.9, 'count': 2, 'hit_count': 2, 'hit_rate': 100.0, 'total_count': 2, 'week': '2024-10-07', 'win_count': 1, 'win_rate': 50.0}], '2024-10-14': [{'avg_performance': 0.9022370535162528, 'bin': 0.3, 'count': 2, 'hit_count': 2, 'hit_rate': 100.0, 'total_count': 2, 'week': '2024-10-14', 'win_count': 0, 'win_rate': 0.0}, {'avg_performance': 1.337629431182013, 'bin': 0.4, 'count': 4, 'hit_count': 4, 'hit_rate': 100.0, 'total_count': 4, 'week': '2024-10-14', 'win_count': 0, 'win_rate': 0.0}, {'avg_performance': 4.600619281242528, 'bin': 0.5, 'count': 20, 'hit_count': 17, 'hit_rate': 85.0, 'total_count': 20, 'week': '2024-10-14', 'win_count': 6, 'win_rate': 30.0}, {'avg_performance': 5.238828360908673, 'bin': 0.6, 'count': 164, 'hit_count': 158, 'hit_rate': 96.34146341463415, 'total_count': 164, 'week': '2024-10-14', 'win_count': 77, 'win_rate': 46.951219512195124}, {'avg_performance': 8.797660614333616, 'bin': 0.7, 'count': 1595, 'hit_count': 1499, 'hit_rate': 93.98119122257053, 'total_count': 1595, 'week': '2024-10-14', 'win_count': 891, 'win_rate': 55.86206896551724}, {'avg_performance': 8.040704379542438, 'bin': 0.8, 'count': 214, 'hit_count': 207, 'hit_rate': 96.72897196261682, 'total_count': 214, 'week': '2024-10-14', 'win_count': 148, 'win_rate': 69.1588785046729}], '2024-10-21': [{'avg_performance': 0.38387715930903, 'bin': 0.2, 'count': 1, 'hit_count': 1, 'hit_rate': 100.0, 'total_count': 1, 'week': '2024-10-21', 'win_count': 0, 'win_rate': 0.0}, {'avg_performance': 0.9709764756086716, 'bin': 0.3, 'count': 4, 'hit_count': 3, 'hit_rate': 75.0, 'total_count': 4, 'week': '2024-10-21', 'win_count': 0, 'win_rate': 0.0}, {'avg_performance': 1.3062931151410297, 'bin': 0.4, 'count': 6, 'hit_count': 5, 'hit_rate': 83.33333333333333, 'total_count': 6, 'week': '2024-10-21', 'win_count': 0, 'win_rate': 0.0}, {'avg_performance': 2.5164096657483253, 'bin': 0.5, 'count': 25, 'hit_count': 22, 'hit_rate': 88.0, 'total_count': 25, 'week': '2024-10-21', 'win_count': 7, 'win_rate': 28.0}, {'avg_performance': 4.1596411175942425, 'bin': 0.6, 'count': 146, 'hit_count': 136, 'hit_rate': 93.15068493150685, 'total_count': 146, 'week': '2024-10-21', 'win_count': 56, 'win_rate': 38.35616438356164}, {'avg_performance': 8.03449923342892, 'bin': 0.7, 'count': 1759, 'hit_count': 1628, 'hit_rate': 92.55258669698692, 'total_count': 1759, 'week': '2024-10-21', 'win_count': 1003, 'win_rate': 57.02103467879477}, {'avg_performance': 8.348772559069227, 'bin': 0.8, 'count': 207, 'hit_count': 197, 'hit_rate': 95.16908212560386, 'total_count': 207, 'week': '2024-10-21', 'win_count': 124, 'win_rate': 59.90338164251208}], '2024-10-28': [{'avg_performance': 11.856661248915968, 'bin': 0.3, 'count': 2, 'hit_count': 2, 'hit_rate': 100.0, 'total_count': 2, 'week': '2024-10-28', 'win_count': 1, 'win_rate': 50.0}, {'avg_performance': 3.3348216882106607, 'bin': 0.4, 'count': 4, 'hit_count': 4, 'hit_rate': 100.0, 'total_count': 4, 'week': '2024-10-28', 'win_count': 2, 'win_rate': 50.0}, {'avg_performance': 2.7996008250747595, 'bin': 0.5, 'count': 17, 'hit_count': 14, 'hit_rate': 82.3529411764706, 'total_count': 17, 'week': '2024-10-28', 'win_count': 3, 'win_rate': 17.647058823529413}, {'avg_performance': 4.648447686121441, 'bin': 0.6, 'count': 122, 'hit_count': 118, 'hit_rate': 96.72131147540983, 'total_count': 122, 'week': '2024-10-28', 'win_count': 51, 'win_rate': 41.80327868852459}, {'avg_performance': 7.265669642594064, 'bin': 0.7, 'count': 997, 'hit_count': 927, 'hit_rate': 92.97893681043129, 'total_count': 997, 'week': '2024-10-28', 'win_count': 618, 'win_rate': 61.98595787362086}, {'avg_performance': 10.816422602027322, 'bin': 0.8, 'count': 41, 'hit_count': 38, 'hit_rate': 92.6829268292683, 'total_count': 41, 'week': '2024-10-28', 'win_count': 28, 'win_rate': 68.29268292682927}], '2024-11-04': [{'avg_performance': 9.506070965460328, 'bin': 0.3, 'count': 2, 'hit_count': 2, 'hit_rate': 100.0, 'total_count': 2, 'week': '2024-11-04', 'win_count': 1, 'win_rate': 50.0}, {'avg_performance': 11.085533897596687, 'bin': 0.4, 'count': 4, 'hit_count': 4, 'hit_rate': 100.0, 'total_count': 4, 'week': '2024-11-04', 'win_count': 2, 'win_rate': 50.0}, {'avg_performance': 5.802859193965779, 'bin': 0.5, 'count': 25, 'hit_count': 24, 'hit_rate': 96.0, 'total_count': 25, 'week': '2024-11-04', 'win_count': 12, 'win_rate': 48.0}, {'avg_performance': 8.090414252589902, 'bin': 0.6, 'count': 164, 'hit_count': 154, 'hit_rate': 93.90243902439025, 'total_count': 164, 'week': '2024-11-04', 'win_count': 110, 'win_rate': 67.07317073170732}, {'avg_performance': 10.27282302016535, 'bin': 0.7, 'count': 1486, 'hit_count': 1401, 'hit_rate': 94.27994616419919, 'total_count': 1486, 'week': '2024-11-04', 'win_count': 1113, 'win_rate': 74.89905787348587}, {'avg_performance': 8.653533395637153, 'bin': 0.8, 'count': 64, 'hit_count': 62, 'hit_rate': 96.875, 'total_count': 64, 'week': '2024-11-04', 'win_count': 44, 'win_rate': 68.75}], '2024-11-11': [{'avg_performance': 40.77065557250119, 'bin': 0.3, 'count': 3, 'hit_count': 3, 'hit_rate': 100.0, 'total_count': 3, 'week': '2024-11-11', 'win_count': 2, 'win_rate': 66.66666666666667}, {'avg_performance': 68.54218006242404, 'bin': 0.4, 'count': 7, 'hit_count': 6, 'hit_rate': 85.71428571428571, 'total_count': 7, 'week': '2024-11-11', 'win_count': 3, 'win_rate': 42.857142857142854}, {'avg_performance': 7.473429086066595, 'bin': 0.5, 'count': 28, 'hit_count': 26, 'hit_rate': 92.85714285714286, 'total_count': 28, 'week': '2024-11-11', 'win_count': 11, 'win_rate': 39.285714285714285}, {'avg_performance': 5.7210642939107865, 'bin': 0.6, 'count': 172, 'hit_count': 162, 'hit_rate': 94.18604651162791, 'total_count': 172, 'week': '2024-11-11', 'win_count': 78, 'win_rate': 45.348837209302324}, {'avg_performance': 6.950606849660758, 'bin': 0.7, 'count': 2183, 'hit_count': 1942, 'hit_rate': 88.96014658726523, 'total_count': 2183, 'week': '2024-11-11', 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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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components/performance_curve.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/components/performance_curve.html; Toggle context
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'hit_rate': 81.69811320754717, 'total_count': 530, 'week': '2025-02-17', 'win_count': 160, 'win_rate': 30.18867924528302}, {'avg_performance': 3.3832590351165615, 'bin': 0.8, 'count': 54, 'hit_count': 46, 'hit_rate': 85.18518518518519, 'total_count': 54, 'week': '2025-02-17', 'win_count': 22, 'win_rate': 40.74074074074074}], '2025-02-24': [{'avg_performance': 14.747474747474739, 'bin': 0.3, 'count': 1, 'hit_count': 1, 'hit_rate': 100.0, 'total_count': 1, 'week': '2025-02-24', 'win_count': 1, 'win_rate': 100.0}, {'avg_performance': 1.483220254404718, 'bin': 0.4, 'count': 4, 'hit_count': 4, 'hit_rate': 100.0, 'total_count': 4, 'week': '2025-02-24', 'win_count': 1, 'win_rate': 25.0}, {'avg_performance': 4.886750479655935, 'bin': 0.5, 'count': 3, 'hit_count': 3, 'hit_rate': 100.0, 'total_count': 3, 'week': '2025-02-24', 'win_count': 2, 'win_rate': 66.66666666666667}, {'avg_performance': 4.098843931251354, 'bin': 0.6, 'count': 39, 'hit_count': 39, 'hit_rate': 100.0, 'total_count': 39, 'week': '2025-02-24', 'win_count': 21, 'win_rate': 53.84615384615385}, {'avg_performance': 6.7311024498695895, 'bin': 0.7, 'count': 341, 'hit_count': 324, 'hit_rate': 95.01466275659824, 'total_count': 341, 'week': '2025-02-24', 'win_count': 231, 'win_rate': 67.74193548387096}, {'avg_performance': 8.80997390923137, 'bin': 0.8, 'count': 19, 'hit_count': 17, 'hit_rate': 89.47368421052632, 'total_count': 19, 'week': '2025-02-24', 'win_count': 16, 'win_rate': 84.21052631578948}], '2025-03-03': [{'avg_performance': 6.496927129060581, 'bin': 0.3, 'count': 1, 'hit_count': 1, 'hit_rate': 100.0, 'total_count': 1, 'week': '2025-03-03', 'win_count': 1, 'win_rate': 100.0}, {'avg_performance': 4.234347426755143, 'bin': 0.4, 'count': 2, 'hit_count': 2, 'hit_rate': 100.0, 'total_count': 2, 'week': '2025-03-03', 'win_count': 1, 'win_rate': 50.0}, {'avg_performance': 4.837971033345035, 'bin': 0.5, 'count': 9, 'hit_count': 9, 'hit_rate': 100.0, 'total_count': 9, 'week': '2025-03-03', 'win_count': 6, 'win_rate': 66.66666666666667}, {'avg_performance': 7.476385224123491, 'bin': 0.6, 'count': 60, 'hit_count': 56, 'hit_rate': 93.33333333333333, 'total_count': 60, 'week': '2025-03-03', 'win_count': 40, 'win_rate': 66.66666666666667}, {'avg_performance': 9.175863004552577, 'bin': 0.7, 'count': 501, 'hit_count': 479, 'hit_rate': 95.60878243512974, 'total_count': 501, 'week': '2025-03-03', 'win_count': 346, 'win_rate': 69.06187624750498}, {'avg_performance': 10.600061758245392, 'bin': 0.8, 'count': 45, 'hit_count': 43, 'hit_rate': 95.55555555555556, 'total_count': 45, 'week': '2025-03-03', 'win_count': 35, 'win_rate': 77.77777777777777}], '2025-03-10': [{'avg_performance': 3.1413612565444975, 'bin': 0.3, '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': 5.273294241964802, 'bin': 0.4, 'count': 11, 'hit_count': 10, 'hit_rate': 90.9090909090909, 'total_count': 11, 'week': '2025-03-10', 'win_count': 4, 'win_rate': 36.36363636363637}, {'avg_performance': 6.362088830497881, 'bin': 0.5, 'count': 23, 'hit_count': 23, 'hit_rate': 100.0, 'total_count': 23, 'week': '2025-03-10', 'win_count': 18, 'win_rate': 78.26086956521739}, {'avg_performance': 7.442734895529073, 'bin': 0.6, 'count': 194, 'hit_count': 188, 'hit_rate': 96.90721649484536, 'total_count': 194, 'week': '2025-03-10', 'win_count': 127, 'win_rate': 65.4639175257732}, {'avg_performance': 7.825642875837303, 'bin': 0.7, 'count': 2062, 'hit_count': 1938, 'hit_rate': 93.98642095053346, 'total_count': 2062, 'week': '2025-03-10', 'win_count': 1374, 'win_rate': 66.63433559650825}, {'avg_performance': 9.519864190453308, 'bin': 0.8, 'count': 65, 'hit_count': 62, 'hit_rate': 95.38461538461539, 'total_count': 65, 'week': '2025-03-10', 'win_count': 51, 'win_rate': 78.46153846153847}]}, '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', '2025-01-20', '2025-01-27', '2025-02-03', '2025-02-17', '2025-02-24', '2025-03-03', '2025-03-10'], 'date_from': datetime.date(2024, 10, 7), 'date_to': datetime.date(2025, 4, 5), 'kpis': {'avg_gain': 8.35064971357415, 'fail_count': 11421, 'hit_count': 28313, 'hit_rate': 93.63383821681329, 'pass_count': 18817, 'total_tests': 30238, 'win_rate': 62.229644817778954}, 'last_metrics': <ModelMetrics: Binned LGBM 3d PH 3% Metrics: 2025-04-04 >, 'model': <Model: Binned LGBM 3d PH 3% (binned-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': 1.2504894131199589, 'bin': 0.2, 'count': 6, 'hit_count': 6, 'hit_rate': 100.0, 'total_count': 6, 'win_count': 0, 'win_rate': 0.0}, {'avg_performance': 7.028663507041953, 'bin': 0.3, 'count': 36, 'hit_count': 34, 'hit_rate': 94.44444444444444, 'total_count': 36, 'win_count': 13, 'win_rate': 36.111111111111114}, {'avg_performance': 9.432175772160651, 'bin': 0.4, 'count': 94, 'hit_count': 89, 'hit_rate': 94.68085106382979, 'total_count': 94, 'win_count': 27, 'win_rate': 28.72340425531915}, {'avg_performance': 5.44822039735625, 'bin': 0.5, 'count': 345, 'hit_count': 327, 'hit_rate': 94.78260869565217, 'total_count': 345, 'win_count': 147, 'win_rate': 42.608695652173914}, {'avg_performance': 6.276983864727436, 'bin': 0.6, 'count': 2238, 'hit_count': 2118, 'hit_rate': 94.63806970509384, 'total_count': 2238, 'win_count': 1176, 'win_rate': 52.54691689008043}, {'avg_performance': 8.533575402218842, 'bin': 0.7, 'count': 25724, 'hit_count': 24056, 'hit_rate': 93.51578292645, 'total_count': 25724, 'win_count': 16266, 'win_rate': 63.232778728036074}, {'avg_performance': 8.86255964112395, 'bin': 0.8, 'count': 1793, 'hit_count': 1681, 'hit_rate': 93.75348577802565, 'total_count': 1793, 'win_count': 1187, 'win_rate': 66.20189626324596}, {'avg_performance': 11.998842090027502, 'bin': 0.9, 'count': 2, 'hit_count': 2, 'hit_rate': 100.0, 'total_count': 2, 'win_count': 1, 'win_rate': 50.0}]}

Context processors

django.template.context_processors.csrf: Toggle context
{'csrf_token': <SimpleLazyObject: 'Ug6wwe35THbADW1ZsY2D1iZkBdOjvilMpfGLkNwF1KQarTPBh6f3T845ad38gnM0'>}
django.template.context_processors.debug: Toggle context
{}
django.template.context_processors.request: Toggle context
{'request': <WSGIRequest: GET '/model/61'>}
django.contrib.auth.context_processors.auth: Toggle context
{'user': <SimpleLazyObject: <django.contrib.auth.models.AnonymousUser object at 0x7f8de84ec750>>, 'perms': PermWrapper(<SimpleLazyObject: <django.contrib.auth.models.AnonymousUser object at 0x7f8de84ec750>>)}
django.contrib.messages.context_processors.messages: Toggle context
{'messages': <FallbackStorage: request=<WSGIRequest: GET '/model/61'>>, 'DEFAULT_MESSAGE_LEVELS': {'DEBUG': 10, 'INFO': 20, 'SUCCESS': 25, 'WARNING': 30, 'ERROR': 40}}

Cache calls from 1 backend

Summary

Total calls	Total time	Cache hits	Cache misses
2	3.125583752989769 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
0.1004	get	('model_detail_2ddf8db9fe90',)	{}	<django.core.cache.backends.filebased.FileBasedCache object at 0x7f8de89f2cd0>
/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)
3.0252	set	('model_detail_2ddf8db9fe90', {'model': <Model: Binned LGBM 3d PH 3% (binned-ph-lgmb-p3-seq3-platt v1)>, 'last_metrics': <ModelMetrics: Binned LGBM 3d PH 3% Metrics: 2025-04-04 >, 'kpis': {'total_tests': 30238, 'pass_count': 18817, 'fail_count': 11421, 'hit_count': 28313, 'win_rate': 62.229644817778954, 'hit_rate': 93.63383821681329, 'avg_gain': 8.35064971357415}, 'curve_data': [{'bin': 0.2, 'total_count': 6, 'hit_count': 6, 'win_count': 0, 'avg_performance': 1.2504894131199589, 'hit_rate': 100.0, 'win_rate': 0.0, 'count': 6}, {'bin': 0.3, 'total_count': 36, 'hit_count': 34, 'win_count': 13, 'avg_performance': 7.028663507041953, 'hit_rate': 94.44444444444444, 'win_rate': 36.111111111111114, 'count': 36}, {'bin': 0.4, 'total_count': 94, 'hit_count': 89, 'win_count': 27, 'avg_performance': 9.432175772160651, 'hit_rate': 94.68085106382979, 'win_rate': 28.72340425531915, 'count': 94}, {'bin': 0.5, 'total_count': 345, 'hit_count': 327, 'win_count': 147, 'avg_performance': 5.44822039735625, 'hit_rate': 94.78260869565217, 'win_rate': 42.608695652173914, 'count': 345}, {'bin': 0.6, 'total_count': 2238, 'hit_count': 2118, 'win_count': 1176, 'avg_performance': 6.276983864727436, 'hit_rate': 94.63806970509384, 'win_rate': 52.54691689008043, 'count': 2238}, {'bin': 0.7, 'total_count': 25724, 'hit_count': 24056, 'win_count': 16266, 'avg_performance': 8.533575402218842, 'hit_rate': 93.51578292645, 'win_rate': 63.232778728036074, 'count': 25724}, {'bin': 0.8, 'total_count': 1793, 'hit_count': 1681, 'win_count': 1187, 'avg_performance': 8.86255964112395, 'hit_rate': 93.75348577802565, 'win_rate': 66.20189626324596, 'count': 1793}, {'bin': 0.9, 'total_count': 2, 'hit_count': 2, 'win_count': 1, 'avg_performance': 11.998842090027502, 'hit_rate': 100.0, 'win_rate': 50.0, 'count': 2}], 'curve_data_by_week': {'2024-10-07': [{'week': '2024-10-07', 'bin': 0.4, 'total_count': 2, 'hit_count': 2, 'win_count': 1, 'avg_performance': 8.164127436473585, 'hit_rate': 100.0, 'win_rate': 50.0, 'count': 2}, {'week': '2024-10-07', 'bin': 0.5, 'total_count': 11, 'hit_count': 11, 'win_count': 3, 'avg_performance': 5.26552716148981, 'hit_rate': 100.0, 'win_rate': 27.272727272727273, 'count': 11}, {'week': '2024-10-07', 'bin': 0.6, 'total_count': 89, 'hit_count': 86, 'win_count': 47, 'avg_performance': 5.134353802031955, 'hit_rate': 96.62921348314607, 'win_rate': 52.80898876404494, 'count': 89}, {'week': '2024-10-07', 'bin': 0.7, 'total_count': 1047, 'hit_count': 1015, 'win_count': 791, 'avg_performance': 8.070123830986233, 'hit_rate': 96.94364851957975, 'win_rate': 75.54918815663801, 'count': 1047}, {'week': '2024-10-07', 'bin': 0.8, 'total_count': 171, 'hit_count': 163, 'win_count': 131, 'avg_performance': 9.68536888753788, 'hit_rate': 95.32163742690058, 'win_rate': 76.60818713450293, 'count': 171}, {'week': '2024-10-07', 'bin': 0.9, 'total_count': 2, 'hit_count': 2, 'win_count': 1, 'avg_performance': 11.998842090027502, 'hit_rate': 100.0, 'win_rate': 50.0, 'count': 2}], '2024-10-14': [{'week': '2024-10-14', 'bin': 0.3, 'total_count': 2, 'hit_count': 2, 'win_count': 0, 'avg_performance': 0.9022370535162528, 'hit_rate': 100.0, 'win_rate': 0.0, 'count': 2}, {'week': '2024-10-14', 'bin': 0.4, 'total_count': 4, 'hit_count': 4, 'win_count': 0, 'avg_performance': 1.337629431182013, 'hit_rate': 100.0, 'win_rate': 0.0, 'count': 4}, {'week': '2024-10-14', 'bin': 0.5, 'total_count': 20, 'hit_count': 17, 'win_count': 6, 'avg_performance': 4.600619281242528, 'hit_rate': 85.0, 'win_rate': 30.0, 'count': 20}, {'week': '2024-10-14', 'bin': 0.6, 'total_count': 164, 'hit_count': 158, 'win_count': 77, 'avg_performance': 5.238828360908673, 'hit_rate': 96.34146341463415, 'win_rate': 46.951219512195124, 'count': 164}, {'week': '2024-10-14', 'bin': 0.7, 'total_count': 1595, 'hit_count': 1499, 'win_count': 891, 'avg_performance': 8.797660614333616, 'hit_rate': 93.98119122257053, 'win_rate': 55.86206896551724, 'count': 1595}, {'week': '2024-10-14', 'bin': 0.8, 'total_count': 214, 'hit_count': 207, 'win_count': 148, 'avg_performance': 8.040704379542438, 'hit_rate': 96.72897196261682, 'win_rate': 69.1588785046729, 'count': 214}], '2024-10-21': [{'week': '2024-10-21', 'bin': 0.2, 'total_count': 1, 'hit_count': 1, 'win_count': 0, 'avg_performance': 0.38387715930903, 'hit_rate': 100.0, 'win_rate': 0.0, 'count': 1}, {'week': '2024-10-21', 'bin': 0.3, 'total_count': 4, 'hit_count': 3, 'win_count': 0, 'avg_performance': 0.9709764756086716, 'hit_rate': 75.0, 'win_rate': 0.0, 'count': 4}, {'week': '2024-10-21', 'bin': 0.4, 'total_count': 6, 'hit_count': 5, 'win_count': 0, 'avg_performance': 1.3062931151410297, 'hit_rate': 83.33333333333333, 'win_rate': 0.0, 'count': 6}, {'week': '2024-10-21', 'bin': 0.5, 'total_count': 25, 'hit_count': 22, 'win_count': 7, 'avg_performance': 2.5164096657483253, 'hit_rate': 88.0, 'win_rate': 28.0, 'count': 25}, {'week': '2024-10-21', 'bin': 0.6, 'total_count': 146, 'hit_count': 136, 'win_count': 56, 'avg_performance': 4.1596411175942425, 'hit_rate': 93.15068493150685, 'win_rate': 38.35616438356164, 'count': 146}, {'week': '2024-10-21', 'bin': 0.7, 'total_count': 1759, 'hit_count': 1628, 'win_count': 1003, 'avg_performance': 8.03449923342892, 'hit_rate': 92.55258669698692, 'win_rate': 57.02103467879477, 'count': 1759}, {'week': '2024-10-21', 'bin': 0.8, 'total_count': 207, 'hit_count': 197, 'win_count': 124, 'avg_performance': 8.348772559069227, 'hit_rate': 95.16908212560386, 'win_rate': 59.90338164251208, 'count': 207}], '2024-10-28': [{'week': '2024-10-28', 'bin': 0.3, 'total_count': 2, 'hit_count': 2, 'win_count': 1, 'avg_performance': 11.856661248915968, 'hit_rate': 100.0, 'win_rate': 50.0, 'count': 2}, {'week': '2024-10-28', 'bin': 0.4, 'total_count': 4, 'hit_count': 4, 'win_count': 2, 'avg_performance': 3.3348216882106607, 'hit_rate': 100.0, 'win_rate': 50.0, 'count': 4}, {'week': '2024-10-28', 'bin': 0.5, 'total_count': 17, 'hit_count': 14, 'win_count': 3, 'avg_performance': 2.7996008250747595, 'hit_rate': 82.3529411764706, 'win_rate': 17.647058823529413, 'count': 17}, {'week': '2024-10-28', 'bin': 0.6, 'total_count': 122, 'hit_count': 118, 'win_count': 51, 'avg_performance': 4.648447686121441, 'hit_rate': 96.72131147540983, 'win_rate': 41.80327868852459, 'count': 122}, {'week': '2024-10-28', 'bin': 0.7, 'total_count': 997, 'hit_count': 927, 'win_count': 618, 'avg_performance': 7.265669642594064, 'hit_rate': 92.97893681043129, 'win_rate': 61.98595787362086, 'count': 997}, {'week': '2024-10-28', 'bin': 0.8, 'total_count': 41, 'hit_count': 38, 'win_count': 28, 'avg_performance': 10.816422602027322, 'hit_rate': 92.6829268292683, 'win_rate': 68.29268292682927, 'count': 41}], '2024-11-04': [{'week': '2024-11-04', 'bin': 0.3, 'total_count': 2, 'hit_count': 2, 'win_count': 1, 'avg_performance': 9.506070965460328, 'hit_rate': 100.0, 'win_rate': 50.0, 'count': 2}, {'week': '2024-11-04', 'bin': 0.4, 'total_count': 4, 'hit_count': 4, 'win_count': 2, 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6.7311024498695895, 'hit_rate': 95.01466275659824, 'win_rate': 67.74193548387096, 'count': 341}, {'week': '2025-02-24', 'bin': 0.8, 'total_count': 19, 'hit_count': 17, 'win_count': 16, 'avg_performance': 8.80997390923137, 'hit_rate': 89.47368421052632, 'win_rate': 84.21052631578948, 'count': 19}], '2025-03-03': [{'week': '2025-03-03', 'bin': 0.3, 'total_count': 1, 'hit_count': 1, 'win_count': 1, 'avg_performance': 6.496927129060581, 'hit_rate': 100.0, 'win_rate': 100.0, 'count': 1}, {'week': '2025-03-03', 'bin': 0.4, 'total_count': 2, 'hit_count': 2, 'win_count': 1, 'avg_performance': 4.234347426755143, 'hit_rate': 100.0, 'win_rate': 50.0, 'count': 2}, {'week': '2025-03-03', 'bin': 0.5, 'total_count': 9, 'hit_count': 9, 'win_count': 6, 'avg_performance': 4.837971033345035, 'hit_rate': 100.0, 'win_rate': 66.66666666666667, 'count': 9}, {'week': '2025-03-03', 'bin': 0.6, 'total_count': 60, 'hit_count': 56, 'win_count': 40, 'avg_performance': 7.476385224123491, 'hit_rate': 93.33333333333333, 'win_rate': 66.66666666666667, 'count': 60}, {'week': '2025-03-03', 'bin': 0.7, 'total_count': 501, 'hit_count': 479, 'win_count': 346, 'avg_performance': 9.175863004552577, 'hit_rate': 95.60878243512974, 'win_rate': 69.06187624750498, 'count': 501}, {'week': '2025-03-03', 'bin': 0.8, 'total_count': 45, 'hit_count': 43, 'win_count': 35, 'avg_performance': 10.600061758245392, 'hit_rate': 95.55555555555556, 'win_rate': 77.77777777777777, 'count': 45}], '2025-03-10': [{'week': '2025-03-10', 'bin': 0.3, 'total_count': 1, 'hit_count': 1, 'win_count': 1, 'avg_performance': 3.1413612565444975, 'hit_rate': 100.0, 'win_rate': 100.0, 'count': 1}, {'week': '2025-03-10', 'bin': 0.4, 'total_count': 11, 'hit_count': 10, 'win_count': 4, 'avg_performance': 5.273294241964802, 'hit_rate': 90.9090909090909, 'win_rate': 36.36363636363637, 'count': 11}, {'week': '2025-03-10', 'bin': 0.5, 'total_count': 23, 'hit_count': 23, 'win_count': 18, 'avg_performance': 6.362088830497881, 'hit_rate': 100.0, 'win_rate': 78.26086956521739, 'count': 23}, {'week': '2025-03-10', 'bin': 0.6, 'total_count': 194, 'hit_count': 188, 'win_count': 127, 'avg_performance': 7.442734895529073, 'hit_rate': 96.90721649484536, 'win_rate': 65.4639175257732, 'count': 194}, {'week': '2025-03-10', 'bin': 0.7, 'total_count': 2062, 'hit_count': 1938, 'win_count': 1374, 'avg_performance': 7.825642875837303, 'hit_rate': 93.98642095053346, 'win_rate': 66.63433559650825, 'count': 2062}, {'week': '2025-03-10', 'bin': 0.8, 'total_count': 65, 'hit_count': 62, 'win_count': 51, 'avg_performance': 9.519864190453308, 'hit_rate': 95.38461538461539, 'win_rate': 78.46153846153847, 'count': 65}]}, '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', '2025-01-20', '2025-01-27', '2025-02-03', '2025-02-17', '2025-02-24', '2025-03-03', '2025-03-10'], 'date_from': datetime.date(2024, 10, 7), 'date_to': datetime.date(2025, 4, 5), 'performance_data': <QuerySet [{'date': datetime.date(2025, 3, 14), 'pass_count': 498, 'fail_count': 138, 'total_count': 636, 'hit_count': 623, 'win_rate': 78.30188679245283, 'hit_rate': 97.95597484276729, 'avg_performance': 9.685218432811558, 'metrics': {'financial': 0, 'content': 0, 'other': 0}}, {'date': datetime.date(2025, 3, 13), 'pass_count': 361, 'fail_count': 196, 'total_count': 557, 'hit_count': 509, 'win_rate': 64.81149012567325, 'hit_rate': 91.38240574506284, 'avg_performance': 7.556987585041437, 'metrics': {'content': 0.21, 'financial': 0, 'other': 0.08}}, {'date': datetime.date(2025, 3, 11), 'pass_count': 325, 'fail_count': 124, 'total_count': 449, 'hit_count': 422, 'win_rate': 72.38307349665924, 'hit_rate': 93.98663697104676, 'avg_performance': 8.845404351980402, 'metrics': {'financial': 0, 'content': 0, 'other': 0}}, {'date': datetime.date(2025, 3, 10), 'pass_count': 391, 'fail_count': 323, 'total_count': 714, 'hit_count': 668, 'win_rate': 54.76190476190476, 'hit_rate': 93.55742296918767, 'avg_performance': 5.694685477496913, 'metrics': {'content': 0.08, 'financial': 0, 'other': 0.11}}, {'date': datetime.date(2025, 3, 5), 'pass_count': 429, 'fail_count': 189, 'total_count': 618, 'hit_count': 590, 'win_rate': 69.41747572815534, 'hit_rate': 95.46925566343042, 'avg_performance': 9.031068962996716, 'metrics': {'financial': 0, 'content': 0, 'other': 0}}, {'date': datetime.date(2025, 2, 26), 'pass_count': 272, 'fail_count': 135, 'total_count': 407, 'hit_count': 388, 'win_rate': 66.83046683046683, 'hit_rate': 95.33169533169533, 'avg_performance': 6.530444619665331, 'metrics': {'financial': 0, 'content': 0, 'other': 0}}, {'date': datetime.date(2025, 2, 21), 'pass_count': 199, 'fail_count': 451, 'total_count': 650, 'hit_count': 534, 'win_rate': 30.615384615384617, 'hit_rate': 82.15384615384616, 'avg_performance': 3.9155501366611176, 'metrics': {'financial': 0, 'content': 0, 'other': 0}}, {'date': datetime.date(2025, 2, 3), 'pass_count': 678, 'fail_count': 179, 'total_count': 857, 'hit_count': 831, 'win_rate': 79.11318553092183, 'hit_rate': 96.96616102683781, 'avg_performance': 10.174064363746451, 'metrics': {'financial': 0, 'content': 0, 'other': 0}}, {'date': datetime.date(2025, 1, 30), 'pass_count': 391, 'fail_count': 228, 'total_count': 619, 'hit_count': 587, 'win_rate': 63.166397415185784, 'hit_rate': 94.83037156704361, 'avg_performance': 7.973597013289812, 'metrics': {'financial': 0, 'content': 0, 'other': 0}}, {'date': datetime.date(2025, 1, 24), 'pass_count': 409, 'fail_count': 248, 'total_count': 657, 'hit_count': 626, 'win_rate': 62.25266362252663, 'hit_rate': 95.28158295281582, 'avg_performance': 6.834872621744259, 'metrics': {'financial': 0, 'content': 0, 'other': 0}}, {'date': datetime.date(2025, 1, 23), 'pass_count': 473, 'fail_count': 168, 'total_count': 641, 'hit_count': 620, 'win_rate': 73.79095163806552, 'hit_rate': 96.72386895475819, 'avg_performance': 8.251261124979479, 'metrics': {'content': 0.06, 'financial': 0, 'other': 0.19}}, {'date': datetime.date(2025, 1, 22), 'pass_count': 300, 'fail_count': 190, 'total_count': 490, 'hit_count': 464, 'win_rate': 61.224489795918366, 'hit_rate': 94.6938775510204, 'avg_performance': 8.66572725577195, 'metrics': {'content': 0.06, 'financial': 0, 'other': 0.13}}, {'date': datetime.date(2025, 1, 17), 'pass_count': 380, 'fail_count': 189, 'total_count': 569, 'hit_count': 547, 'win_rate': 66.78383128295255, 'hit_rate': 96.13356766256591, 'avg_performance': 8.785958286314582, 'metrics': {'financial': 0, 'content': 0, 'other': 0}}, {'date': datetime.date(2025, 1, 15), 'pass_count': 419, 'fail_count': 187, 'total_count': 606, 'hit_count': 582, 'win_rate': 69.14191419141915, 'hit_rate': 96.03960396039604, 'avg_performance': 9.090623208994868, 'metrics': {'financial': 0, 'content': 0, 'other': 0}}, {'date': datetime.date(2025, 1, 13), 'pass_count': 519, 'fail_count': 213, 'total_count': 732, 'hit_count': 677, 'win_rate': 70.90163934426229, 'hit_rate': 92.48633879781421, 'avg_performance': 7.984716878955943, 'metrics': {'financial': 0, 'content': 0, 'other': 0}}, {'date': datetime.date(2025, 1, 9), 'pass_count': 230, 'fail_count': 272, 'total_count': 502, 'hit_count': 445, 'win_rate': 45.81673306772908, 'hit_rate': 88.64541832669323, 'avg_performance': 5.38573415628531, 'metrics': {'financial': 0, 'content': 0, 'other': 0}}, {'date': datetime.date(2025, 1, 8), 'pass_count': 185, 'fail_count': 339, 'total_count': 524, 'hit_count': 450, 'win_rate': 35.30534351145038, 'hit_rate': 85.87786259541984, 'avg_performance': 5.427183296115789, 'metrics': {'content': 0.06, 'financial': 0, 'other': 0.13}}, {'date': datetime.date(2025, 1, 2), 'pass_count': 680, 'fail_count': 173, 'total_count': 853, 'hit_count': 833, 'win_rate': 79.71864009378663, 'hit_rate': 97.65533411488863, 'avg_performance': 13.997208028693217, 'metrics': {'financial': 0, 'content': 0, 'other': 0}}, {'date': datetime.date(2024, 12, 24), 'pass_count': 420, 'fail_count': 181, 'total_count': 601, 'hit_count': 585, 'win_rate': 69.88352745424292, 'hit_rate': 97.33777038269551, 'avg_performance': 13.16377724437054, 'metrics': {'financial': 0, 'content': 0, 'other': 0}}, {'date': datetime.date(2024, 12, 19), 'pass_count': 315, 'fail_count': 215, 'total_count': 530, 'hit_count': 494, 'win_rate': 59.43396226415094, 'hit_rate': 93.20754716981132, 'avg_performance': 9.291098555591804, 'metrics': {'financial': 0, 'content': 0, 'other': 0}}, '...(remaining elements truncated)...']>}, 86400)	{}	<django.core.cache.backends.filebased.FileBasedCache object at 0x7f8de89f2cd0>
/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/whitenoise/middleware.py in __call__(124) return self.get_response(request) /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_htmx/middleware.py in __call__(43) return self.get_response(request) /mnt/disks/pennyloupe_disk/pennyloupe/app/core/views/app.py in model_detail(1013) cache.set(cache_key, context, 246060)

Signals

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

Model: Binned LGBM 3d PH 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