Date	# Tests	# Pass	# Fail	Win Rate	Hit Rate	% Perf
2025-03-14	636	498	138	78.30 %	97.96 %	9.69 %
2025-03-12	543	335	208	61.69 %	92.45 %	6.65 %
2025-03-05	618	429	189	69.42 %	95.47 %	9.03 %
2025-02-28	544	368	176	67.65 %	94.85 %	7.28 %
2025-02-27	527	277	250	52.56 %	92.60 %	5.81 %
2025-02-19	621	342	279	55.07 %	92.91 %	7.56 %
2025-02-18	891	511	380	57.35 %	93.71 %	6.94 %
2025-02-13	670	487	183	72.69 %	95.82 %	10.55 %
2025-02-10	712	346	366	48.60 %	90.73 %	6.92 %
2025-02-07	689	327	362	47.46 %	91.44 %	6.81 %
2025-02-05	672	455	217	67.71 %	96.28 %	8.94 %
2025-02-04	622	518	104	83.28 %	98.55 %	9.46 %
2025-02-03	857	678	179	79.11 %	96.97 %	10.17 %
2025-01-30	619	391	228	63.17 %	94.83 %	7.97 %
2025-01-28	536	320	216	59.70 %	95.15 %	6.33 %
2025-01-22	490	300	190	61.22 %	94.69 %	8.67 %
2025-01-21	955	571	384	59.79 %	94.24 %	8.27 %
2025-01-07	504	241	263	47.82 %	92.26 %	6.51 %
2024-12-31	609	462	147	75.86 %	98.36 %	10.56 %
2024-12-24	601	420	181	69.88 %	97.34 %	13.16 %
2024-12-04	771	455	316	59.01 %	91.70 %	7.82 %
2024-12-03	635	329	306	51.81 %	90.87 %	7.56 %
2024-11-29	866	555	311	64.09 %	94.34 %	7.99 %
2024-11-27	703	507	196	72.12 %	96.44 %	9.43 %
2024-11-26	691	454	237	65.70 %	94.79 %	8.08 %
2024-11-25	828	565	263	68.24 %	96.26 %	8.49 %
2024-11-21	705	593	112	84.11 %	97.87 %	14.04 %
2024-11-14	828	404	424	48.79 %	89.13 %	6.48 %
2024-11-13	768	367	401	47.79 %	88.67 %	6.15 %
2024-11-12	944	493	451	52.22 %	93.43 %	7.78 %
2024-11-04	734	586	148	79.84 %	95.91 %	9.84 %
2024-11-01	645	418	227	64.81 %	94.42 %	7.60 %

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	201.112 msec
System CPU time	3.743 msec
Total CPU time	204.855 msec
Elapsed time	967.511 msec
Context switches	15 voluntary, 1 involuntary

Browser timing

Timing attribute	Timeline	Milliseconds since navigation start (+length)
domainLookup		6 (+73)
connect		79 (+114)
request		193 (+1406)
response		1361 (+238)
domLoading		1381 (+-1745946018018)
domInteractive		1750
domContentLoadedEvent		1750 (+9)
loadEvent		-1745946016637 (+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 0x7f12fc1c7ec0>}`
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/5
QUERY_STRING
REMOTE_ADDR	13.59.114.66
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': 5}`	`model_detail`

No cookies

No session data

No GET data

No POST data

SQL queries from 1 connection

default 763.22 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" = 5 LIMIT 21SELECT ••• FROM "pl_model" WHERE "pl_model"."id" = 5 LIMIT 21		1.35
		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" = 5 AND "pl_model_metrics"."status_id" = 10 AND "pl_model_metrics"."date" >= '2024-10-31'::date AND "pl_model_metrics"."date" <= '2025-04-29'::date) ORDER BY "pl_model_metrics"."date" DESCSELECT ••• FROM "pl_model_metrics" WHERE ("pl_model_metrics"."model_id" = 5 AND "pl_model_metrics"."status_id" = 10 AND "pl_model_metrics"."date" >= '2024-10-31'::date AND "pl_model_metrics"."date" <= '2025-04-29'::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" = 5 AND "pl_model_test"."status_id" = 10 AND "pl_model_test"."pick_date" >= '2024-10-31'::date AND "pl_model_test"."pick_date" <= '2025-04-29'::date) GROUP BY 1 ORDER BY "pl_model_test"."pick_date" DESCSELECT ••• FROM "pl_model_test" WHERE ("pl_model_test"."model_id" = 5 AND "pl_model_test"."status_id" = 10 AND "pl_model_test"."pick_date" >= '2024-10-31'::date AND "pl_model_test"."pick_date" <= '2025-04-29'::date) GROUP BY 1 ORDER BY "pl_model_test"."pick_date" DESC		528.58
		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(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" = 5 AND "pl_model_test"."status_id" = 10 AND "pl_model_test"."pick_date" >= '2024-10-31'::date AND "pl_model_test"."pick_date" <= '2025-04-29'::date) GROUP BY 1, 2 ORDER BY 1 ASC, 2 ASCSELECT ••• FROM "pl_model_test" WHERE ("pl_model_test"."model_id" = 5 AND "pl_model_test"."status_id" = 10 AND "pl_model_test"."pick_date" >= '2024-10-31'::date AND "pl_model_test"."pick_date" <= '2025-04-29'::date) GROUP BY 1, 2 ORDER BY 1 ASC, 2 ASC		127.91
		Connection: default Transaction status: Idle /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/whitenoise/middleware.py in __call__(124) return self.get_response(request) /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_htmx/middleware.py in __call__(43) return self.get_response(request) /mnt/disks/pennyloupe_disk/pennyloupe/app/core/views/app.py in 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" = 5 AND "pl_model_test"."status_id" = 10 AND "pl_model_test"."pick_date" >= '2024-10-31'::date AND "pl_model_test"."pick_date" <= '2025-04-29'::date) GROUP BY 1 ORDER BY 1 ASCSELECT ••• FROM "pl_model_test" WHERE ("pl_model_test"."model_id" = 5 AND "pl_model_test"."status_id" = 10 AND "pl_model_test"."pick_date" >= '2024-10-31'::date AND "pl_model_test"."pick_date" <= '2025-04-29'::date) GROUP BY 1 ORDER BY 1 ASC		97.00
		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 (39 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: ' "'TcN6c6mothHLc5l8sp84IJBl3GNeg3g4zOe2zLY7PCPsZ3IJQYHivzu3XpPhlY5d'>", 'messages': <FallbackStorage: request=<WSGIRequest: GET '/model/5'>>, 'perms': PermWrapper(<SimpleLazyObject: <django.contrib.auth.models.AnonymousUser object at 0x7f12e919b110>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <django.contrib.auth.models.AnonymousUser object ' 'at 0x7f12e919b110>>'} {'curve_data': [{'avg_performance': 7.0943467167162995, 'bin': 0.1, 'count': 7, 'hit_count': 7, 'hit_rate': 100.0, 'total_count': 7, 'win_count': 5, 'win_rate': 71.42857142857143}, {'avg_performance': 11.340550952064977, 'bin': 0.2, 'count': 56, 'hit_count': 52, 'hit_rate': 92.85714285714286, 'total_count': 56, 'win_count': 23, 'win_rate': 41.07142857142857}, {'avg_performance': 7.743204097229733, 'bin': 0.3, 'count': 230, 'hit_count': 223, 'hit_rate': 96.95652173913044, 'total_count': 230, 'win_count': 115, 'win_rate': 50.0}, {'avg_performance': 6.689476137348272, 'bin': 0.4, 'count': 1336, 'hit_count': 1272, 'hit_rate': 95.20958083832335, 'total_count': 1336, 'win_count': 698, 'win_rate': 52.24550898203593}, {'avg_performance': 7.848350957342785, 'bin': 0.5, 'count': 9398, 'hit_count': 8835, 'hit_rate': 94.00936369440306, 'total_count': 9398, 'win_count': 5787, 'win_rate': 61.576931261970635}, {'avg_performance': 9.062627006868745, 'bin': 0.6, 'count': 10182, 'hit_count': 9621, 'hit_rate': 94.49027695934001, 'total_count': 10182, 'win_count': 6797, 'win_rate': 66.75505794539383}, {'avg_performance': 9.496621573147848, 'bin': 0.7, 'count': 705, 'hit_count': 663, 'hit_rate': 94.04255319148936, 'total_count': 705, 'win_count': 508, 'win_rate': 72.05673758865248}, {'avg_performance': 8.396019608677182, 'bin': 0.8, 'count': 75, 'hit_count': 73, 'hit_rate': 97.33333333333333, 'total_count': 75, 'win_count': 43, 'win_rate': 57.333333333333336}, {'avg_performance': 7.513562392362878, 'bin': 0.9, 'count': 33, 'hit_count': 31, 'hit_rate': 93.93939393939394, 'total_count': 33, 'win_count': 21, 'win_rate': 63.63636363636363}, {'avg_performance': 6.754751312042125, 'bin': 1.0, 'count': 12, 'hit_count': 8, 'hit_rate': 66.66666666666667, 'total_count': 12, 'win_count': 5, 'win_rate': 41.666666666666664}], 'curve_data_by_week': {'2024-10-28': [{'avg_performance': 1.877975945184441, 'bin': 0.2, 'count': 4, 'hit_count': 3, 'hit_rate': 75.0, 'total_count': 4, 'week': '2024-10-28', 'win_count': 0, 'win_rate': 0.0}, {'avg_performance': 1.9530966834284262, 'bin': 0.3, 'count': 8, 'hit_count': 8, 'hit_rate': 100.0, 'total_count': 8, 'week': '2024-10-28', 'win_count': 2, 'win_rate': 25.0}, {'avg_performance': 5.806981451049109, 'bin': 0.4, 'count': 60, 'hit_count': 56, 'hit_rate': 93.33333333333333, 'total_count': 60, 'week': '2024-10-28', 'win_count': 35, 'win_rate': 58.333333333333336}, {'avg_performance': 6.851432520709536, 'bin': 0.5, 'count': 291, 'hit_count': 273, 'hit_rate': 93.81443298969072, 'total_count': 291, 'week': '2024-10-28', 'win_count': 183, 'win_rate': 62.88659793814433}, {'avg_performance': 9.03125542189524, 'bin': 0.6, 'count': 242, 'hit_count': 231, 'hit_rate': 95.45454545454545, 'total_count': 242, 'week': '2024-10-28', 'win_count': 169, 'win_rate': 69.83471074380165}, {'avg_performance': 9.88341274843909, 'bin': 0.7, 'count': 33, 'hit_count': 31, 'hit_rate': 93.93939393939394, 'total_count': 33, 'week': '2024-10-28', 'win_count': 25, 'win_rate': 75.75757575757575}, {'avg_performance': 3.3052948923288987, 'bin': 0.8, 'count': 6, 'hit_count': 6, 'hit_rate': 100.0, 'total_count': 6, 'week': '2024-10-28', 'win_count': 3, 'win_rate': 50.0}, {'avg_performance': 5.785123966942154, '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': 10.091743119266058, 'bin': 0.1, 'count': 1, 'hit_count': 1, 'hit_rate': 100.0, 'total_count': 1, 'week': '2024-11-04', 'win_count': 1, 'win_rate': 100.0}, {'avg_performance': 11.506056963101518, 'bin': 0.3, 'count': 5, 'hit_count': 5, 'hit_rate': 100.0, 'total_count': 5, 'week': '2024-11-04', 'win_count': 3, 'win_rate': 60.0}, {'avg_performance': 7.279324202893742, 'bin': 0.4, 'count': 40, 'hit_count': 37, 'hit_rate': 92.5, 'total_count': 40, 'week': '2024-11-04', 'win_count': 26, 'win_rate': 65.0}, {'avg_performance': 9.221674939542794, 'bin': 0.5, 'count': 385, 'hit_count': 369, 'hit_rate': 95.84415584415585, 'total_count': 385, 'week': '2024-11-04', 'win_count': 303, 'win_rate': 78.7012987012987}, {'avg_performance': 10.945945271657507, 'bin': 0.6, 'count': 278, 'hit_count': 268, 'hit_rate': 96.40287769784173, 'total_count': 278, 'week': '2024-11-04', 'win_count': 231, 'win_rate': 83.09352517985612}, {'avg_performance': 11.424636414232001, 'bin': 0.7, 'count': 21, 'hit_count': 20, 'hit_rate': 95.23809523809524, 'total_count': 21, 'week': '2024-11-04', 'win_count': 19, 'win_rate': 90.47619047619048}, {'avg_performance': 6.136904761904757, 'bin': 0.8, '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': 10.01225246705079, 'bin': 0.9, 'count': 2, 'hit_count': 2, 'hit_rate': 100.0, 'total_count': 2, 'week': '2024-11-04', 'win_count': 2, 'win_rate': 100.0}], '2024-11-11': [{'avg_performance': 4.619285033873261, 'bin': 0.1, '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': 53.65851452304771, 'bin': 0.2, 'count': 6, 'hit_count': 6, 'hit_rate': 100.0, 'total_count': 6, 'week': '2024-11-11', 'win_count': 2, 'win_rate': 33.333333333333336}, {'avg_performance': 13.655142025307596, 'bin': 0.3, 'count': 30, 'hit_count': 27, 'hit_rate': 90.0, 'total_count': 30, 'week': '2024-11-11', 'win_count': 13, 'win_rate': 43.333333333333336}, {'avg_performance': 4.09334746750719, 'bin': 0.4, 'count': 154, 'hit_count': 146, 'hit_rate': 94.8051948051948, 'total_count': 154, 'week': '2024-11-11', 'win_count': 57, 'win_rate': 37.01298701298701}, {'avg_performance': 7.4834437755480065, 'bin': 0.5, 'count': 1193, 'hit_count': 1090, 'hit_rate': 91.36630343671416, 'total_count': 1193, 'week': '2024-11-11', 'win_count': 582, 'win_rate': 48.78457669740151}, {'avg_performance': 6.135539602495137, 'bin': 0.6, 'count': 1090, 'hit_count': 969, 'hit_rate': 88.89908256880734, 'total_count': 1090, 'week': '2024-11-11', 'win_count': 573, 'win_rate': 52.56880733944954}, {'avg_performance': 6.790655278673617, 'bin': 0.7, 'count': 51, 'hit_count': 49, 'hit_rate': 96.07843137254902, 'total_count': 51, 'week': '2024-11-11', 'win_count': 30, 'win_rate': 58.8235294117647}, {'avg_performance': 5.930959226121321, 'bin': 0.8, 'count': 7, 'hit_count': 7, 'hit_rate': 100.0, 'total_count': 7, 'week': '2024-11-11', 'win_count': 3, 'win_rate': 42.857142857142854}, {'avg_performance': 3.033678522884538, 'bin': 0.9, 'count': 3, 'hit_count': 3, 'hit_rate': 100.0, 'total_count': 3, 'week': '2024-11-11', 'win_count': 1, 'win_rate': 33.333333333333336}, {'avg_performance': 14.68926553672316, 'bin': 1.0, 'count': 3, 'hit_count': 1, 'hit_rate': 33.333333333333336, 'total_count': 3, 'week': '2024-11-11', 'win_count': 1, 'win_rate': 33.333333333333336}], '2024-11-18': [{'avg_performance': 1.1432154801719994, 'bin': 0.2, 'count': 2, 'hit_count': 2, 'hit_rate': 100.0, 'total_count': 2, 'week': '2024-11-18', 'win_count': 0, 'win_rate': 0.0}, {'avg_performance': 27.029740147108672, 'bin': 0.3, 'count': 7, 'hit_count': 7, 'hit_rate': 100.0, 'total_count': 7, 'week': '2024-11-18', 'win_count': 6, 'win_rate': 85.71428571428571}, {'avg_performance': 10.895989888760505, 'bin': 0.4, 'count': 45, 'hit_count': 45, 'hit_rate': 100.0, 'total_count': 45, 'week': '2024-11-18', 'win_count': 34, 'win_rate': 75.55555555555556}, {'avg_performance': 11.350324823408446, 'bin': 0.5, 'count': 329, 'hit_count': 319, 'hit_rate': 96.96048632218844, 'total_count': 329, 'week': '2024-11-18', 'win_count': 268, 'win_rate': 81.45896656534954}, {'avg_performance': 17.10900143101286, 'bin': 0.6, 'count': 301, 'hit_count': 296, 'hit_rate': 98.33887043189368, 'total_count': 301, 'week': '2024-11-18', 'win_count': 269, 'win_rate': 89.3687707641196}, {'avg_performance': 16.27022979699145, 'bin': 0.7, 'count': 19, 'hit_count': 19, 'hit_rate': 100.0, 'total_count': 19, 'week': '2024-11-18', 'win_count': 15, 'win_rate': 78.94736842105263}, {'avg_performance': 10.616674015579694, 'bin': 0.9, 'count': 2, 'hit_count': 2, 'hit_rate': 100.0, 'total_count': 2, 'week': '2024-11-18', 'win_count': 1, 'win_rate': 50.0}], '2024-11-25': [{'avg_performance': 6.675664721464282, 'bin': 0.2, 'count': 5, 'hit_count': 5, 'hit_rate': 100.0, 'total_count': 5, 'week': '2024-11-25', 'win_count': 4, 'win_rate': 80.0}, {'avg_performance': 11.92506608112202, 'bin': 0.3, 'count': 28, 'hit_count': 28, 'hit_rate': 100.0, 'total_count': 28, 'week': '2024-11-25', 'win_count': 15, 'win_rate': 53.57142857142857}, {'avg_performance': 6.98144409486962, 'bin': 0.4, 'count': 159, 'hit_count': 158, 'hit_rate': 99.37106918238993, 'total_count': 159, 'week': '2024-11-25', 'win_count': 84, 'win_rate': 52.83018867924528}, {'avg_performance': 8.548683316068935, 'bin': 0.5, 'count': 1431, 'hit_count': 1358, 'hit_rate': 94.89867225716283, 'total_count': 1431, 'week': '2024-11-25', 'win_count': 946, 'win_rate': 66.10761705101328}, {'avg_performance': 8.562101658371846, 'bin': 0.6, 'count': 1413, 'hit_count': 1349, 'hit_rate': 95.47062986553432, 'total_count': 1413, 'week': '2024-11-25', 'win_count': 993, 'win_rate': 70.276008492569}, {'avg_performance': 6.9848947370533185, 'bin': 0.7, 'count': 50, 'hit_count': 48, 'hit_rate': 96.0, 'total_count': 50, 'week': '2024-11-25', 'win_count': 39, 'win_rate': 78.0}, 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components/leftnav.html: /mnt/disks/pennyloupe_disk/pennyloupe/templates/components/leftnav.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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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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'hit_count': 21, 'hit_rate': 100.0, 'total_count': 21, 'week': '2025-02-03', 'win_count': 8, 'win_rate': 38.095238095238095}, {'avg_performance': 6.754127781478275, 'bin': 0.4, 'count': 151, 'hit_count': 147, 'hit_rate': 97.35099337748345, 'total_count': 151, 'week': '2025-02-03', 'win_count': 103, 'win_rate': 68.21192052980132}, {'avg_performance': 7.700015148045161, 'bin': 0.5, 'count': 1129, 'hit_count': 1075, 'hit_rate': 95.21700620017715, 'total_count': 1129, 'week': '2025-02-03', 'win_count': 746, 'win_rate': 66.07617360496015}, {'avg_performance': 9.91272184609586, 'bin': 0.6, 'count': 1438, 'hit_count': 1381, 'hit_rate': 96.03616133518776, 'total_count': 1438, 'week': '2025-02-03', 'win_count': 1043, 'win_rate': 72.53129346314326}, {'avg_performance': 10.889825953205015, 'bin': 0.7, 'count': 84, 'hit_count': 80, 'hit_rate': 95.23809523809524, 'total_count': 84, 'week': '2025-02-03', 'win_count': 65, 'win_rate': 77.38095238095238}, {'avg_performance': 22.270503177211495, 'bin': 0.8, 'count': 8, 'hit_count': 8, 'hit_rate': 100.0, 'total_count': 8, 'week': '2025-02-03', 'win_count': 6, 'win_rate': 75.0}, {'avg_performance': 6.451612903225812, 'bin': 0.9, 'count': 1, 'hit_count': 1, 'hit_rate': 100.0, 'total_count': 1, 'week': '2025-02-03', 'win_count': 1, 'win_rate': 100.0}], '2025-02-10': [{'avg_performance': 3.085443037974681, 'bin': 0.2, 'count': 2, 'hit_count': 2, 'hit_rate': 100.0, 'total_count': 2, 'week': '2025-02-10', 'win_count': 1, 'win_rate': 50.0}, {'avg_performance': 1.1863002954754522, 'bin': 0.3, 'count': 11, 'hit_count': 10, 'hit_rate': 90.9090909090909, 'total_count': 11, 'week': '2025-02-10', 'win_count': 2, 'win_rate': 18.181818181818183}, {'avg_performance': 5.11014911079109, 'bin': 0.4, 'count': 64, 'hit_count': 59, 'hit_rate': 92.1875, 'total_count': 64, 'week': '2025-02-10', 'win_count': 27, 'win_rate': 42.1875}, {'avg_performance': 7.241766113784836, 'bin': 0.5, 'count': 508, 'hit_count': 472, 'hit_rate': 92.91338582677166, 'total_count': 508, 'week': '2025-02-10', 'win_count': 285, 'win_rate': 56.10236220472441}, {'avg_performance': 9.684073388560531, 'bin': 0.6, 'count': 725, 'hit_count': 680, 'hit_rate': 93.79310344827586, 'total_count': 725, 'week': '2025-02-10', 'win_count': 468, 'win_rate': 64.55172413793103}, {'avg_performance': 13.866199831850611, 'bin': 0.7, 'count': 65, 'hit_count': 59, 'hit_rate': 90.76923076923077, 'total_count': 65, 'week': '2025-02-10', 'win_count': 45, 'win_rate': 69.23076923076923}, {'avg_performance': 7.28204730005899, 'bin': 0.8, 'count': 7, 'hit_count': 6, 'hit_rate': 85.71428571428571, 'total_count': 7, 'week': '2025-02-10', 'win_count': 5, 'win_rate': 71.42857142857143}], '2025-02-17': [{'avg_performance': 1.1494252873563313, 'bin': 0.1, 'count': 1, 'hit_count': 1, 'hit_rate': 100.0, 'total_count': 1, 'week': '2025-02-17', 'win_count': 0, 'win_rate': 0.0}, {'avg_performance': 0.5537385528831616, 'bin': 0.2, 'count': 3, 'hit_count': 2, 'hit_rate': 66.66666666666667, 'total_count': 3, 'week': '2025-02-17', 'win_count': 0, 'win_rate': 0.0}, {'avg_performance': 4.533480276106552, 'bin': 0.3, 'count': 10, 'hit_count': 10, 'hit_rate': 100.0, 'total_count': 10, 'week': '2025-02-17', 'win_count': 5, 'win_rate': 50.0}, {'avg_performance': 4.2238915856410175, 'bin': 0.4, 'count': 95, 'hit_count': 89, 'hit_rate': 93.6842105263158, 'total_count': 95, 'week': '2025-02-17', 'win_count': 46, 'win_rate': 48.421052631578945}, {'avg_performance': 6.018364676981302, 'bin': 0.5, 'count': 605, 'hit_count': 563, 'hit_rate': 93.05785123966942, 'total_count': 605, 'week': '2025-02-17', 'win_count': 330, 'win_rate': 54.54545454545455}, {'avg_performance': 8.53534907578029, 'bin': 0.6, 'count': 740, 'hit_count': 693, 'hit_rate': 93.64864864864865, 'total_count': 740, 'week': '2025-02-17', 'win_count': 437, 'win_rate': 59.054054054054056}, {'avg_performance': 9.501947548198382, 'bin': 0.7, 'count': 44, 'hit_count': 40, 'hit_rate': 90.9090909090909, 'total_count': 44, 'week': '2025-02-17', 'win_count': 29, 'win_rate': 65.9090909090909}, {'avg_performance': 2.308288409152444, 'bin': 0.8, 'count': 7, 'hit_count': 7, 'hit_rate': 100.0, 'total_count': 7, 'week': '2025-02-17', 'win_count': 1, 'win_rate': 14.285714285714286}, {'avg_performance': 4.6986001464717395, 'bin': 0.9, 'count': 6, 'hit_count': 6, 'hit_rate': 100.0, 'total_count': 6, 'week': '2025-02-17', 'win_count': 4, 'win_rate': 66.66666666666667}, {'avg_performance': 4.761904761904766, 'bin': 1.0, 'count': 1, 'hit_count': 1, 'hit_rate': 100.0, 'total_count': 1, 'week': '2025-02-17', 'win_count': 1, 'win_rate': 100.0}], '2025-02-24': [{'avg_performance': 0.5804311774460977, 'bin': 0.2, 'count': 2, 'hit_count': 1, 'hit_rate': 50.0, 'total_count': 2, 'week': '2025-02-24', 'win_count': 0, 'win_rate': 0.0}, {'avg_performance': 5.662616737888991, 'bin': 0.3, 'count': 13, 'hit_count': 13, 'hit_rate': 100.0, 'total_count': 13, 'week': '2025-02-24', 'win_count': 7, 'win_rate': 53.84615384615385}, {'avg_performance': 6.7584490666876595, 'bin': 0.4, 'count': 81, 'hit_count': 77, 'hit_rate': 95.06172839506173, 'total_count': 81, 'week': '2025-02-24', 'win_count': 39, 'win_rate': 48.148148148148145}, {'avg_performance': 6.81399618749418, 'bin': 0.5, 'count': 452, 'hit_count': 422, 'hit_rate': 93.36283185840708, 'total_count': 452, 'week': '2025-02-24', 'win_count': 274, 'win_rate': 60.61946902654867}, {'avg_performance': 6.384334698951723, 'bin': 0.6, 'count': 480, 'hit_count': 456, 'hit_rate': 95.0, 'total_count': 480, 'week': '2025-02-24', 'win_count': 306, 'win_rate': 63.75}, {'avg_performance': 6.775508920671488, 'bin': 0.7, 'count': 36, 'hit_count': 30, 'hit_rate': 83.33333333333333, 'total_count': 36, 'week': '2025-02-24', 'win_count': 18, 'win_rate': 50.0}, {'avg_performance': 2.1166564916564905, 'bin': 0.8, 'count': 4, 'hit_count': 3, 'hit_rate': 75.0, 'total_count': 4, 'week': '2025-02-24', 'win_count': 1, 'win_rate': 25.0}, {'avg_performance': 0.8056086845266783, 'bin': 1.0, 'count': 3, 'hit_count': 2, 'hit_rate': 66.66666666666667, 'total_count': 3, 'week': '2025-02-24', 'win_count': 0, 'win_rate': 0.0}], '2025-03-03': [{'avg_performance': 8.862783016021625, 'bin': 0.2, 'count': 3, 'hit_count': 3, 'hit_rate': 100.0, 'total_count': 3, 'week': '2025-03-03', 'win_count': 3, 'win_rate': 100.0}, {'avg_performance': 4.557395365685723, 'bin': 0.3, 'count': 7, 'hit_count': 7, 'hit_rate': 100.0, 'total_count': 7, 'week': '2025-03-03', 'win_count': 4, 'win_rate': 57.142857142857146}, {'avg_performance': 5.914060807252237, 'bin': 0.4, 'count': 39, 'hit_count': 36, 'hit_rate': 92.3076923076923, 'total_count': 39, 'week': '2025-03-03', 'win_count': 23, 'win_rate': 58.97435897435897}, {'avg_performance': 9.980784216153411, 'bin': 0.5, 'count': 231, 'hit_count': 218, 'hit_rate': 94.37229437229438, 'total_count': 231, 'week': '2025-03-03', 'win_count': 154, 'win_rate': 66.66666666666667}, {'avg_performance': 8.939737582901484, 'bin': 0.6, 'count': 305, 'hit_count': 294, 'hit_rate': 96.39344262295081, 'total_count': 305, 'week': '2025-03-03', 'win_count': 220, 'win_rate': 72.1311475409836}, {'avg_performance': 7.709583436683262, 'bin': 0.7, 'count': 31, 'hit_count': 30, 'hit_rate': 96.7741935483871, 'total_count': 31, 'week': '2025-03-03', 'win_count': 23, 'win_rate': 74.19354838709677}, {'avg_performance': 11.888111888111883, 'bin': 0.8, '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': 8.995815899581583, 'bin': 1.0, 'count': 1, 'hit_count': 1, 'hit_rate': 100.0, 'total_count': 1, 'week': '2025-03-03', 'win_count': 1, 'win_rate': 100.0}], '2025-03-10': [{'avg_performance': 14.880952380952381, 'bin': 0.1, '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': 7.821536316883023, 'bin': 0.2, 'count': 3, 'hit_count': 3, 'hit_rate': 100.0, 'total_count': 3, 'week': '2025-03-10', 'win_count': 1, 'win_rate': 33.333333333333336}, {'avg_performance': 5.254963028624808, 'bin': 0.3, 'count': 10, 'hit_count': 10, 'hit_rate': 100.0, 'total_count': 10, 'week': '2025-03-10', 'win_count': 6, 'win_rate': 60.0}, {'avg_performance': 7.2421044133826475, 'bin': 0.4, 'count': 97, 'hit_count': 93, 'hit_rate': 95.87628865979381, 'total_count': 97, 'week': '2025-03-10', 'win_count': 65, 'win_rate': 67.01030927835052}, {'avg_performance': 7.543699750562407, 'bin': 0.5, 'count': 491, 'hit_count': 468, 'hit_rate': 95.31568228105907, 'total_count': 491, 'week': '2025-03-10', 'win_count': 335, 'win_rate': 68.22810590631364}, {'avg_performance': 9.189197903368973, 'bin': 0.6, 'count': 527, 'hit_count': 502, 'hit_rate': 95.2561669829222, 'total_count': 527, 'week': '2025-03-10', 'win_count': 382, 'win_rate': 72.48576850094877}, {'avg_performance': 8.075946426924292, 'bin': 0.7, 'count': 41, 'hit_count': 40, 'hit_rate': 97.5609756097561, 'total_count': 41, 'week': '2025-03-10', 'win_count': 36, 'win_rate': 87.8048780487805}, {'avg_performance': 12.001940138905502, 'bin': 0.8, 'count': 5, 'hit_count': 5, 'hit_rate': 100.0, 'total_count': 5, 'week': '2025-03-10', 'win_count': 4, 'win_rate': 80.0}, {'avg_performance': 10.22308881089591, 'bin': 0.9, 'count': 3, 'hit_count': 2, 'hit_rate': 66.66666666666667, 'total_count': 3, 'week': '2025-03-10', 'win_count': 2, 'win_rate': 66.66666666666667}, {'avg_performance': 9.849246231155783, 'bin': 1.0, 'count': 1, 'hit_count': 1, 'hit_rate': 100.0, 'total_count': 1, 'week': '2025-03-10', 'win_count': 1, 'win_rate': 100.0}]}, 'curve_data_week_list': ['2024-10-28', '2024-11-04', '2024-11-11', '2024-11-18', '2024-11-25', '2024-12-02', '2024-12-23', '2024-12-30', '2025-01-06', '2025-01-20', '2025-01-27', '2025-02-03', '2025-02-10', '2025-02-17', '2025-02-24', '2025-03-03', '2025-03-10'], 'date_from': datetime.date(2024, 10, 31), 'date_to': datetime.date(2025, 4, 29), 'kpis': {'avg_gain': 8.400249753909875, 'fail_count': 8032, 'hit_count': 20785, 'hit_rate': 94.331487700826, 'pass_count': 14002, 'total_tests': 22034, 'win_rate': 63.54724516656077}, 'last_metrics': <ModelMetrics: Binned CatBoost 3d PH 3% Metrics: 2025-04-28 >, 'model': <Model: Binned CatBoost 3d PH 3% (binned-ph-cb-p3-seq3 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': 7.0943467167162995, 'bin': 0.1, 'count': 7, 'hit_count': 7, 'hit_rate': 100.0, 'total_count': 7, 'win_count': 5, 'win_rate': 71.42857142857143}, {'avg_performance': 11.340550952064977, 'bin': 0.2, 'count': 56, 'hit_count': 52, 'hit_rate': 92.85714285714286, 'total_count': 56, 'win_count': 23, 'win_rate': 41.07142857142857}, {'avg_performance': 7.743204097229733, 'bin': 0.3, 'count': 230, 'hit_count': 223, 'hit_rate': 96.95652173913044, 'total_count': 230, 'win_count': 115, 'win_rate': 50.0}, {'avg_performance': 6.689476137348272, 'bin': 0.4, 'count': 1336, 'hit_count': 1272, 'hit_rate': 95.20958083832335, 'total_count': 1336, 'win_count': 698, 'win_rate': 52.24550898203593}, {'avg_performance': 7.848350957342785, 'bin': 0.5, 'count': 9398, 'hit_count': 8835, 'hit_rate': 94.00936369440306, 'total_count': 9398, 'win_count': 5787, 'win_rate': 61.576931261970635}, {'avg_performance': 9.062627006868745, 'bin': 0.6, 'count': 10182, 'hit_count': 9621, 'hit_rate': 94.49027695934001, 'total_count': 10182, 'win_count': 6797, 'win_rate': 66.75505794539383}, {'avg_performance': 9.496621573147848, 'bin': 0.7, 'count': 705, 'hit_count': 663, 'hit_rate': 94.04255319148936, 'total_count': 705, 'win_count': 508, 'win_rate': 72.05673758865248}, {'avg_performance': 8.396019608677182, 'bin': 0.8, 'count': 75, 'hit_count': 73, 'hit_rate': 97.33333333333333, 'total_count': 75, 'win_count': 43, 'win_rate': 57.333333333333336}, {'avg_performance': 7.513562392362878, 'bin': 0.9, 'count': 33, 'hit_count': 31, 'hit_rate': 93.93939393939394, 'total_count': 33, 'win_count': 21, 'win_rate': 63.63636363636363}, {'avg_performance': 6.754751312042125, 'bin': 1.0, 'count': 12, 'hit_count': 8, 'hit_rate': 66.66666666666667, 'total_count': 12, 'win_count': 5, 'win_rate': 41.666666666666664}]}

Context processors

django.template.context_processors.csrf: Toggle context
{'csrf_token': <SimpleLazyObject: 'TcN6c6mothHLc5l8sp84IJBl3GNeg3g4zOe2zLY7PCPsZ3IJQYHivzu3XpPhlY5d'>}
django.template.context_processors.debug: Toggle context
{}
django.template.context_processors.request: Toggle context
{'request': <WSGIRequest: GET '/model/5'>}
django.contrib.auth.context_processors.auth: Toggle context
{'user': <SimpleLazyObject: <django.contrib.auth.models.AnonymousUser object at 0x7f12e919b110>>, 'perms': PermWrapper(<SimpleLazyObject: <django.contrib.auth.models.AnonymousUser object at 0x7f12e919b110>>)}
django.contrib.messages.context_processors.messages: Toggle context
{'messages': <FallbackStorage: request=<WSGIRequest: GET '/model/5'>>, '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	2.899758517742157 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
0.0614	get	('model_detail_d497028d5270',)	{}	<django.core.cache.backends.filebased.FileBasedCache object at 0x7f12eaed1d50>
/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/whitenoise/middleware.py in __call__(124) return self.get_response(request) /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_htmx/middleware.py in __call__(43) return self.get_response(request) /mnt/disks/pennyloupe_disk/pennyloupe/app/core/views/app.py in model_detail(663) context = cache.get(cache_key)
2.8384	set	('model_detail_d497028d5270', {'model': <Model: Binned CatBoost 3d PH 3% (binned-ph-cb-p3-seq3 v1)>, 'last_metrics': <ModelMetrics: Binned CatBoost 3d PH 3% Metrics: 2025-04-28 >, 'kpis': {'total_tests': 22034, 'pass_count': 14002, 'fail_count': 8032, 'hit_count': 20785, 'win_rate': 63.54724516656077, 'hit_rate': 94.331487700826, 'avg_gain': 8.400249753909875}, 'curve_data': [{'bin': 0.1, 'total_count': 7, 'hit_count': 7, 'win_count': 5, 'avg_performance': 7.0943467167162995, 'hit_rate': 100.0, 'win_rate': 71.42857142857143, 'count': 7}, {'bin': 0.2, 'total_count': 56, 'hit_count': 52, 'win_count': 23, 'avg_performance': 11.340550952064977, 'hit_rate': 92.85714285714286, 'win_rate': 41.07142857142857, 'count': 56}, {'bin': 0.3, 'total_count': 230, 'hit_count': 223, 'win_count': 115, 'avg_performance': 7.743204097229733, 'hit_rate': 96.95652173913044, 'win_rate': 50.0, 'count': 230}, {'bin': 0.4, 'total_count': 1336, 'hit_count': 1272, 'win_count': 698, 'avg_performance': 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'avg_performance': 9.684073388560531, 'hit_rate': 93.79310344827586, 'win_rate': 64.55172413793103, 'count': 725}, {'week': '2025-02-10', 'bin': 0.7, 'total_count': 65, 'hit_count': 59, 'win_count': 45, 'avg_performance': 13.866199831850611, 'hit_rate': 90.76923076923077, 'win_rate': 69.23076923076923, 'count': 65}, {'week': '2025-02-10', 'bin': 0.8, 'total_count': 7, 'hit_count': 6, 'win_count': 5, 'avg_performance': 7.28204730005899, 'hit_rate': 85.71428571428571, 'win_rate': 71.42857142857143, 'count': 7}], '2025-02-17': [{'week': '2025-02-17', 'bin': 0.1, 'total_count': 1, 'hit_count': 1, 'win_count': 0, 'avg_performance': 1.1494252873563313, 'hit_rate': 100.0, 'win_rate': 0.0, 'count': 1}, {'week': '2025-02-17', 'bin': 0.2, 'total_count': 3, 'hit_count': 2, 'win_count': 0, 'avg_performance': 0.5537385528831616, 'hit_rate': 66.66666666666667, 'win_rate': 0.0, 'count': 3}, {'week': '2025-02-17', 'bin': 0.3, 'total_count': 10, 'hit_count': 10, 'win_count': 5, 'avg_performance': 4.533480276106552, 'hit_rate': 100.0, 'win_rate': 50.0, 'count': 10}, {'week': '2025-02-17', 'bin': 0.4, 'total_count': 95, 'hit_count': 89, 'win_count': 46, 'avg_performance': 4.2238915856410175, 'hit_rate': 93.6842105263158, 'win_rate': 48.421052631578945, 'count': 95}, {'week': '2025-02-17', 'bin': 0.5, 'total_count': 605, 'hit_count': 563, 'win_count': 330, 'avg_performance': 6.018364676981302, 'hit_rate': 93.05785123966942, 'win_rate': 54.54545454545455, 'count': 605}, {'week': '2025-02-17', 'bin': 0.6, 'total_count': 740, 'hit_count': 693, 'win_count': 437, 'avg_performance': 8.53534907578029, 'hit_rate': 93.64864864864865, 'win_rate': 59.054054054054056, 'count': 740}, {'week': '2025-02-17', 'bin': 0.7, 'total_count': 44, 'hit_count': 40, 'win_count': 29, 'avg_performance': 9.501947548198382, 'hit_rate': 90.9090909090909, 'win_rate': 65.9090909090909, 'count': 44}, {'week': '2025-02-17', 'bin': 0.8, 'total_count': 7, 'hit_count': 7, 'win_count': 1, 'avg_performance': 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48.148148148148145, 'count': 81}, {'week': '2025-02-24', 'bin': 0.5, 'total_count': 452, 'hit_count': 422, 'win_count': 274, 'avg_performance': 6.81399618749418, 'hit_rate': 93.36283185840708, 'win_rate': 60.61946902654867, 'count': 452}, {'week': '2025-02-24', 'bin': 0.6, 'total_count': 480, 'hit_count': 456, 'win_count': 306, 'avg_performance': 6.384334698951723, 'hit_rate': 95.0, 'win_rate': 63.75, 'count': 480}, {'week': '2025-02-24', 'bin': 0.7, 'total_count': 36, 'hit_count': 30, 'win_count': 18, 'avg_performance': 6.775508920671488, 'hit_rate': 83.33333333333333, 'win_rate': 50.0, 'count': 36}, {'week': '2025-02-24', 'bin': 0.8, 'total_count': 4, 'hit_count': 3, 'win_count': 1, 'avg_performance': 2.1166564916564905, 'hit_rate': 75.0, 'win_rate': 25.0, 'count': 4}, {'week': '2025-02-24', 'bin': 1.0, 'total_count': 3, 'hit_count': 2, 'win_count': 0, 'avg_performance': 0.8056086845266783, 'hit_rate': 66.66666666666667, 'win_rate': 0.0, 'count': 3}], '2025-03-03': [{'week': '2025-03-03', 'bin': 0.2, 'total_count': 3, 'hit_count': 3, 'win_count': 3, 'avg_performance': 8.862783016021625, 'hit_rate': 100.0, 'win_rate': 100.0, 'count': 3}, {'week': '2025-03-03', 'bin': 0.3, 'total_count': 7, 'hit_count': 7, 'win_count': 4, 'avg_performance': 4.557395365685723, 'hit_rate': 100.0, 'win_rate': 57.142857142857146, 'count': 7}, {'week': '2025-03-03', 'bin': 0.4, 'total_count': 39, 'hit_count': 36, 'win_count': 23, 'avg_performance': 5.914060807252237, 'hit_rate': 92.3076923076923, 'win_rate': 58.97435897435897, 'count': 39}, {'week': '2025-03-03', 'bin': 0.5, 'total_count': 231, 'hit_count': 218, 'win_count': 154, 'avg_performance': 9.980784216153411, 'hit_rate': 94.37229437229438, 'win_rate': 66.66666666666667, 'count': 231}, {'week': '2025-03-03', 'bin': 0.6, 'total_count': 305, 'hit_count': 294, 'win_count': 220, 'avg_performance': 8.939737582901484, 'hit_rate': 96.39344262295081, 'win_rate': 72.1311475409836, 'count': 305}, {'week': '2025-03-03', 'bin': 0.7, 'total_count': 31, 'hit_count': 30, 'win_count': 23, 'avg_performance': 7.709583436683262, 'hit_rate': 96.7741935483871, 'win_rate': 74.19354838709677, 'count': 31}, {'week': '2025-03-03', 'bin': 0.8, 'total_count': 1, 'hit_count': 1, 'win_count': 1, 'avg_performance': 11.888111888111883, 'hit_rate': 100.0, 'win_rate': 100.0, 'count': 1}, {'week': '2025-03-03', 'bin': 1.0, 'total_count': 1, 'hit_count': 1, 'win_count': 1, 'avg_performance': 8.995815899581583, 'hit_rate': 100.0, 'win_rate': 100.0, 'count': 1}], '2025-03-10': [{'week': '2025-03-10', 'bin': 0.1, 'total_count': 1, 'hit_count': 1, 'win_count': 1, 'avg_performance': 14.880952380952381, 'hit_rate': 100.0, 'win_rate': 100.0, 'count': 1}, {'week': '2025-03-10', 'bin': 0.2, 'total_count': 3, 'hit_count': 3, 'win_count': 1, 'avg_performance': 7.821536316883023, 'hit_rate': 100.0, 'win_rate': 33.333333333333336, 'count': 3}, {'week': '2025-03-10', 'bin': 0.3, 'total_count': 10, 'hit_count': 10, 'win_count': 6, 'avg_performance': 5.254963028624808, 'hit_rate': 100.0, 'win_rate': 60.0, 'count': 10}, {'week': '2025-03-10', 'bin': 0.4, 'total_count': 97, 'hit_count': 93, 'win_count': 65, 'avg_performance': 7.2421044133826475, 'hit_rate': 95.87628865979381, 'win_rate': 67.01030927835052, 'count': 97}, {'week': '2025-03-10', 'bin': 0.5, 'total_count': 491, 'hit_count': 468, 'win_count': 335, 'avg_performance': 7.543699750562407, 'hit_rate': 95.31568228105907, 'win_rate': 68.22810590631364, 'count': 491}, {'week': '2025-03-10', 'bin': 0.6, 'total_count': 527, 'hit_count': 502, 'win_count': 382, 'avg_performance': 9.189197903368973, 'hit_rate': 95.2561669829222, 'win_rate': 72.48576850094877, 'count': 527}, {'week': '2025-03-10', 'bin': 0.7, 'total_count': 41, 'hit_count': 40, 'win_count': 36, 'avg_performance': 8.075946426924292, 'hit_rate': 97.5609756097561, 'win_rate': 87.8048780487805, 'count': 41}, {'week': '2025-03-10', 'bin': 0.8, 'total_count': 5, 'hit_count': 5, 'win_count': 4, 'avg_performance': 12.001940138905502, 'hit_rate': 100.0, 'win_rate': 80.0, 'count': 5}, {'week': '2025-03-10', 'bin': 0.9, 'total_count': 3, 'hit_count': 2, 'win_count': 2, 'avg_performance': 10.22308881089591, 'hit_rate': 66.66666666666667, 'win_rate': 66.66666666666667, 'count': 3}, {'week': '2025-03-10', 'bin': 1.0, 'total_count': 1, 'hit_count': 1, 'win_count': 1, 'avg_performance': 9.849246231155783, 'hit_rate': 100.0, 'win_rate': 100.0, 'count': 1}]}, 'curve_data_week_list': ['2024-10-28', '2024-11-04', '2024-11-11', '2024-11-18', '2024-11-25', '2024-12-02', '2024-12-23', '2024-12-30', '2025-01-06', '2025-01-20', '2025-01-27', '2025-02-03', '2025-02-10', '2025-02-17', '2025-02-24', '2025-03-03', '2025-03-10'], 'date_from': datetime.date(2024, 10, 31), 'date_to': datetime.date(2025, 4, 29), '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': 9.686287978220724, 'metrics': {'financial': 0, 'content': 0, 'other': 0}}, {'date': datetime.date(2025, 3, 12), 'pass_count': 335, 'fail_count': 208, 'total_count': 543, 'hit_count': 502, 'win_rate': 61.69429097605893, 'hit_rate': 92.44935543278085, 'avg_performance': 6.650471556227323, 'metrics': {'financial': 0, 'content': 0, 'other': 0}}, {'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': 9.031068962996718, 'metrics': {'content': 0.06, 'financial': 0, 'other': 0.17}}, {'date': datetime.date(2025, 2, 28), 'pass_count': 368, 'fail_count': 176, 'total_count': 544, 'hit_count': 516, 'win_rate': 67.6470588235294, 'hit_rate': 94.8529411764706, 'avg_performance': 7.27796901152125, 'metrics': {'financial': 0, 'content': 0, 'other': 0}}, {'date': datetime.date(2025, 2, 27), 'pass_count': 277, 'fail_count': 250, 'total_count': 527, 'hit_count': 488, 'win_rate': 52.56166982922201, 'hit_rate': 92.59962049335863, 'avg_performance': 5.810631532239395, 'metrics': {'content': 0.1, 'financial': 0, 'other': 0.16}}, {'date': datetime.date(2025, 2, 19), 'pass_count': 342, 'fail_count': 279, 'total_count': 621, 'hit_count': 577, 'win_rate': 55.072463768115945, 'hit_rate': 92.914653784219, 'avg_performance': 7.559224606908792, 'metrics': {'content': 0.04, 'financial': 0, 'other': 0.18}}, {'date': datetime.date(2025, 2, 18), 'pass_count': 511, 'fail_count': 380, 'total_count': 891, 'hit_count': 835, 'win_rate': 57.35129068462402, 'hit_rate': 93.71492704826038, 'avg_performance': 6.935581173657969, 'metrics': {'content': 0.14, 'financial': 0, 'other': 0.15}}, {'date': datetime.date(2025, 2, 13), 'pass_count': 487, 'fail_count': 183, 'total_count': 670, 'hit_count': 642, 'win_rate': 72.68656716417911, 'hit_rate': 95.82089552238806, 'avg_performance': 10.55254160599299, 'metrics': {'financial': 0, 'content': 0, 'other': 0}}, {'date': datetime.date(2025, 2, 10), 'pass_count': 346, 'fail_count': 366, 'total_count': 712, 'hit_count': 646, 'win_rate': 48.59550561797753, 'hit_rate': 90.73033707865169, 'avg_performance': 6.921509226237778, 'metrics': {'content': 0.04, 'financial': 0, 'other': 0.18}}, {'date': datetime.date(2025, 2, 7), 'pass_count': 327, 'fail_count': 362, 'total_count': 689, 'hit_count': 630, 'win_rate': 47.46008708272859, 'hit_rate': 91.43686502177069, 'avg_performance': 6.808977603943794, 'metrics': {'financial': 0, 'content': 0, 'other': 0}}, {'date': datetime.date(2025, 2, 5), 'pass_count': 455, 'fail_count': 217, 'total_count': 672, 'hit_count': 647, 'win_rate': 67.70833333333333, 'hit_rate': 96.2797619047619, 'avg_performance': 8.941478207698104, 'metrics': {'content': 0.05, 'financial': 0, 'other': 0.17}}, {'date': datetime.date(2025, 2, 4), 'pass_count': 518, 'fail_count': 104, 'total_count': 622, 'hit_count': 613, 'win_rate': 83.27974276527331, 'hit_rate': 98.55305466237942, 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'total_count': 490, 'hit_count': 464, 'win_rate': 61.224489795918366, 'hit_rate': 94.6938775510204, 'avg_performance': 8.666638585627226, 'metrics': {'content': 0.04, 'financial': 0, 'other': 0.17}}, {'date': datetime.date(2025, 1, 21), 'pass_count': 571, 'fail_count': 384, 'total_count': 955, 'hit_count': 900, 'win_rate': 59.79057591623037, 'hit_rate': 94.24083769633508, 'avg_performance': 8.265628363922236, 'metrics': {'content': 0.11, 'financial': 0, 'other': 0.31}}, {'date': datetime.date(2025, 1, 7), 'pass_count': 241, 'fail_count': 263, 'total_count': 504, 'hit_count': 465, 'win_rate': 47.817460317460316, 'hit_rate': 92.26190476190476, 'avg_performance': 6.514511284329236, 'metrics': {'content': 0.18, 'financial': 0, 'other': 0.15}}, {'date': datetime.date(2024, 12, 31), 'pass_count': 462, 'fail_count': 147, 'total_count': 609, 'hit_count': 599, 'win_rate': 75.86206896551724, 'hit_rate': 98.35796387520526, 'avg_performance': 10.559920703421454, '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}}, '...(remaining elements truncated)...']>}, 86400)	{}	<django.core.cache.backends.filebased.FileBasedCache object at 0x7f12eaed1d50>
/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, FileSystemStorage._clear_cached_properties, FileSystemStorage._clear_cached_properties, FileSystemStorage._clear_cached_properties, FileSystemStorage._clear_cached_properties, FileSystemStorage._clear_cached_properties, FileSystemStorage._clear_cached_properties, StaticFilesStorage._clear_cached_properties

Model: Binned CatBoost 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 (39 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
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