Model	Test Count	# Dates	# Pass	# Fail	Hit Rate	% Perf
Binned Window 10% 3-Day using CatBoost	4,929	8	1,094	3,835	22.20 %	7.98 %
Binned Window 10% 3-Day using LGBM	9,137	13	1,717	7,420	18.79 %	7.35 %
Binned Window 10% v2 3-Day using CatBoost	5,189	8	593	4,596	11.43 %	2.89 %
Binned Window 10% v2 3-Day using LGBM	4,997	8	590	4,407	11.81 %	3.57 %
Binned Window 2% 3-Day using CatBoost	9,636	16	6,719	2,917	69.73 %	7.75 %
Binned Window 2% 3-Day using CatBoost apply isotonic caliberate	2,208	3	1,671	537	75.68 %	7.42 %
Binned Window 2% 3-Day using LGBM	15,472	23	11,237	4,235	72.63 %	7.74 %
Binned Window 2% v2 3-Day using CatBoost	13,396	21	5,460	7,936	40.76 %	2.22 %
Binned Window 2% v2 3-Day using CatBoost apply isotonic caliberate	2,032	3	852	1,180	41.93 %	3.01 %
Binned Window 2% v2 3-Day using LGBM	12,149	19	4,907	7,242	40.39 %	2.36 %
Binned Window 2% v2 3-Day using LGBM apply isotonic caliberation	1,939	3	855	1,084	44.09 %	2.67 %
Binned Window 3% 3-Day using CatBoost	15,821	25	9,699	6,122	61.30 %	7.86 %
Binned Window 3% 3-Day using CatBoost and apply isotonic caliberation	544	1	368	176	67.65 %	7.29 %
Binned Window 3% 3-Day using LGBM	11,323	17	7,368	3,955	65.07 %	8.25 %
Binned Window 3% 3-Day using LGBM and apply isotonic caliberation	707	1	281	426	39.75 %	4.88 %
Binned Window 3% v2 3-Day using CatBoost	12,465	20	4,235	8,230	33.98 %	2.51 %
Binned Window 3% v2 3-Day using LGBM	10,289	15	3,579	6,710	34.78 %	2.75 %
Binned Window 3% v2 3-Day using LGBM apply isotonic caliberation	1,152	2	619	533	53.73 %	4.59 %
Binned Window 5% 3-Day using CatBoost	6,318	20	2,682	3,636	42.45 %	7.22 %
Binned Window 5% 3-Day using LGBM	3,501	5	1,476	2,025	42.16 %	7.71 %
Binned Window 5% v2 3-Day using CatBoost	6,333	10	1,714	4,619	27.06 %	3.60 %
Binned Window 5% v2 3-Day using LGBM	4,886	8	1,058	3,828	21.65 %	1.94 %
Rolling Window 10% 3-Day using CatBoost	9,436	12	1,750	7,686	18.55 %	7.37 %
Rolling Window 10% 3-Day using LGBM	11,592	15	2,330	9,262	20.10 %	7.69 %
Rolling Window 10% v2 3-Day using CatBoost	12,826	17	1,305	11,521	10.17 %	2.31 %
Rolling Window 10% v2 3-Day using LGBM	11,420	15	1,349	10,071	11.81 %	3.29 %
Rolling Window 2% 3-Day using CatBoost	12,960	18	9,469	3,491	73.06 %	7.60 %
Rolling Window 2% 3-Day using CatBoost and apply isotonic caliberation	3,064	4	2,321	743	75.75 %	7.81 %
Rolling Window 2% 3-Day using LGBM	11,429	16	8,143	3,286	71.25 %	7.60 %
Rolling Window 2% v2 3-Day using CatBoost	10,935	15	4,196	6,739	38.37 %	1.90 %
Rolling Window 2% v2 3-Day using LGBM	7,449	10	3,095	4,354	41.55 %	2.35 %
Rolling Window 2% v2 3-Day using LGBM apply isotonic caliberation	1,546	2	505	1,041	32.66 %	1.47 %
Rolling Window 3% 3-Day using CatBoost	12,148	16	7,421	4,727	61.09 %	7.89 %
Rolling Window 3% 3-Day using CatBoost apply isotonic caliberation	3,068	4	1,727	1,341	56.29 %	6.91 %
Rolling Window 3% 3-Day using LGBM	11,975	16	7,196	4,779	60.09 %	7.54 %
Rolling Window 3% 3-Day using LGBM and applying isotonic caliberation	2,196	5	1,284	912	58.47 %	7.48 %
Rolling Window 3% v2 3-Day using CatBoost	16,724	22	5,663	11,061	33.86 %	2.45 %
Rolling Window 3% v2 3-Day using CatBoost apply isotonic Caliberation	792	1	488	304	61.62 %	7.01 %
Rolling Window 3% v2 3-Day using LGBM	13,345	18	4,820	8,525	36.12 %	2.62 %
Rolling Window 3% v2 3-Day using LGBM and applying isotonic caliberation	2,394	3	1,082	1,312	45.20 %	4.84 %
Rolling Window 5% 3-Day using CatBoost	8,285	19	3,990	4,295	48.16 %	8.21 %
Rolling Window 5% 3-Day using LGBM	8,976	12	4,399	4,577	49.01 %	8.45 %
Rolling Window 5% v2 3-Day using CatBoost	9,780	13	1,910	7,870	19.53 %	2.08 %
Rolling Window 5% v2 3-Day using LGBM	7,450	10	1,658	5,792	22.26 %	2.25 %

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	66.292 msec
System CPU time	3.830 msec
Total CPU time	70.122 msec
Elapsed time	4197.697 msec
Context switches	5 voluntary, 1 involuntary

Browser timing

Timing attribute	Timeline	Milliseconds since navigation start (+length)

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 0x7ff664cdbec0>}`
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	/
Accept-Encoding	gzip, br, zstd, deflate
Host	pennyloupe.com
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/benchmarks
QUERY_STRING
REMOTE_ADDR	3.137.189.232
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_benchmarks`	`()`	`{}`	`model_benchmarks`

No cookies

No session data

No GET data

No POST data

SQL queries from 1 connection

default 4127.22 ms (2 queries )

	Query		Timeline	Time (ms)	Action
		SELECT "pl_model_test"."model_id" AS "m_id", "pl_model"."name" AS "m_name", "pl_model"."key" AS "m_key", COUNT("pl_model_test"."id") AS "total_count", 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(DISTINCT "pl_model_test"."pick_date") AS "unique_pick_dates", 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 "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" INNER JOIN "pl_model" ON ("pl_model_test"."model_id" = "pl_model"."id") WHERE ("pl_model"."status_id" = 10 AND "pl_model_test"."pick_date" >= '2025-01-13'::date AND "pl_model_test"."pick_date" <= '2025-03-14'::date AND "pl_model_test"."status_id" = 10) GROUP BY 1, 2, 3 ORDER BY "pl_model"."name" ASCSELECT ••• FROM "pl_model_test" INNER JOIN "pl_model" ON ("pl_model_test"."model_id" = "pl_model"."id") WHERE ("pl_model"."status_id" = 10 AND "pl_model_test"."pick_date" >= '2025-01-13'::date AND "pl_model_test"."pick_date" <= '2025-03-14'::date AND "pl_model_test"."status_id" = 10) GROUP BY 1, 2, 3 ORDER BY "pl_model"."name" ASC		4125.53
		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_benchmarks(588) benchmark_list = list(benchmark_data)
		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"."status_id" = 10 ORDER BY "pl_model"."name" ASCSELECT ••• FROM "pl_model" WHERE "pl_model"."status_id" = 10 ORDER BY "pl_model"."name" ASC		1.69
		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_benchmarks(600) cache.set(cache_key, context, 246060) /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/core/cache/backends/filebased.py in set(54) self._write_content(f, timeout, value) /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/core/cache/backends/filebased.py in _write_content(44) file.write(zlib.compress(pickle.dumps(value, self.pickle_protocol)))

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 (5 rendered)

Template path

templates

Templates

model_benchmarks.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/model_benchmarks.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: <function csrf.<locals>._get_val at ' '0x7ff6532d47c0>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/model/benchmarks'>>, 'perms': PermWrapper(<SimpleLazyObject: <django.contrib.auth.models.AnonymousUser object at 0x7ff6536d5910>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <django.contrib.auth.models.AnonymousUser object ' 'at 0x7ff6536d5910>>'} {'benchmark_list': [{'avg_performance': 7.9771497011526495, 'fail_count': 3835, 'hit_rate': 22.195171434368024, 'm_id': 27, 'm_key': 'binned-cb-p10-seq3', 'm_name': 'Binned Window 10% 3-Day using CatBoost', 'pass_count': 1094, 'total_count': 4929, 'unique_pick_dates': 8}, {'avg_performance': 7.35404916011031, 'fail_count': 7420, 'hit_rate': 18.79172594943636, 'm_id': 28, 'm_key': 'binned-lgmb-p10-seq3', 'm_name': 'Binned Window 10% 3-Day using 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base.html: /mnt/disks/pennyloupe_disk/pennyloupe/templates/base.html; Toggle context
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components/leftnav.html: /mnt/disks/pennyloupe_disk/pennyloupe/templates/components/leftnav.html; Toggle context
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components/header.html: /mnt/disks/pennyloupe_disk/pennyloupe/templates/components/header.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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'm_name': 'Binned Window 5% v2 3-Day using CatBoost', 'pass_count': 1714, 'total_count': 6333, 'unique_pick_dates': 10}, {'avg_performance': 1.9366299018477484, 'fail_count': 3828, 'hit_rate': 21.653704461727383, 'm_id': 22, 'm_key': 'binned-v2-lgmb-p5-seq3', 'm_name': 'Binned Window 5% v2 3-Day using LGBM', 'pass_count': 1058, 'total_count': 4886, 'unique_pick_dates': 8}, {'avg_performance': 7.368873515363233, 'fail_count': 7686, 'hit_rate': 18.5459940652819, 'm_id': 31, 'm_key': 'rolling-cb-p10-seq3', 'm_name': 'Rolling Window 10% 3-Day using CatBoost', 'pass_count': 1750, 'total_count': 9436, 'unique_pick_dates': 12}, {'avg_performance': 7.689426470004973, 'fail_count': 9262, 'hit_rate': 20.100069013112492, 'm_id': 32, 'm_key': 'rolling-lgmb-p10-seq3', 'm_name': 'Rolling Window 10% 3-Day using LGBM', 'pass_count': 2330, 'total_count': 11592, 'unique_pick_dates': 15}, {'avg_performance': 2.308331440824379, 'fail_count': 11521, 'hit_rate': 10.174645251832215, 'm_id': 33, 'm_key': 'rolling-v2-cb-p10-seq3', 'm_name': 'Rolling Window 10% v2 3-Day using CatBoost', 'pass_count': 1305, 'total_count': 12826, 'unique_pick_dates': 17}, {'avg_performance': 3.2884271966483634, 'fail_count': 10071, 'hit_rate': 11.812609457092819, 'm_id': 34, 'm_key': 'rolling-v2-lgmb-p10-seq3', 'm_name': 'Rolling Window 10% v2 3-Day using LGBM', 'pass_count': 1349, 'total_count': 11420, 'unique_pick_dates': 15}, {'avg_performance': 7.601941231596879, 'fail_count': 3491, 'hit_rate': 73.06327160493827, 'm_id': 15, 'm_key': 'rolling-cb-p2-seq3', 'm_name': 'Rolling Window 2% 3-Day using CatBoost', 'pass_count': 9469, 'total_count': 12960, 'unique_pick_dates': 18}, {'avg_performance': 7.81159044361837, 'fail_count': 743, 'hit_rate': 75.75065274151436, 'm_id': 51, 'm_key': 'rolling-cb-p2-seq3-isotonic', 'm_name': 'Rolling Window 2% 3-Day using CatBoost and ' 'apply isotonic caliberation', 'pass_count': 2321, 'total_count': 3064, 'unique_pick_dates': 4}, {'avg_performance': 7.599192376380411, 'fail_count': 3286, 'hit_rate': 71.24857817831831, 'm_id': 16, 'm_key': 'rolling-lgmb-p2-seq3', 'm_name': 'Rolling Window 2% 3-Day using LGBM', 'pass_count': 8143, 'total_count': 11429, 'unique_pick_dates': 16}, {'avg_performance': 1.8971698741780927, 'fail_count': 6739, 'hit_rate': 38.37219935985368, 'm_id': 17, 'm_key': 'rolling-v2-cb-p2-seq3', 'm_name': 'Rolling Window 2% v2 3-Day using CatBoost', 'pass_count': 4196, 'total_count': 10935, 'unique_pick_dates': 15}, {'avg_performance': 2.3503164833745025, 'fail_count': 4354, 'hit_rate': 41.54920123506511, 'm_id': 18, 'm_key': 'rolling-v2-lgmb-p2-seq3', 'm_name': 'Rolling Window 2% v2 3-Day using LGBM', 'pass_count': 3095, 'total_count': 7449, 'unique_pick_dates': 10}, {'avg_performance': 1.4685921019657766, 'fail_count': 1041, 'hit_rate': 32.66494178525227, 'm_id': 58, 'm_key': 'rolling-v2-lgmb-p2-seq3-isotonic', 'm_name': 'Rolling Window 2% v2 3-Day using LGBM apply ' 'isotonic caliberation', 'pass_count': 505, 'total_count': 1546, 'unique_pick_dates': 2}, {'avg_performance': 7.891600684097596, 'fail_count': 4727, 'hit_rate': 61.0882449785973, 'm_id': 3, 'm_key': 'rolling-cb-seq3', 'm_name': 'Rolling Window 3% 3-Day using CatBoost', 'pass_count': 7421, 'total_count': 12148, 'unique_pick_dates': 16}, {'avg_performance': 6.912804573585362, 'fail_count': 1341, 'hit_rate': 56.29074315514993, 'm_id': 47, 'm_key': 'rolling-cb-seq3-isotonic', 'm_name': 'Rolling Window 3% 3-Day using CatBoost apply ' 'isotonic caliberation', 'pass_count': 1727, 'total_count': 3068, 'unique_pick_dates': 4}, {'avg_performance': 7.540922216828744, 'fail_count': 4779, 'hit_rate': 60.09185803757829, 'm_id': 4, 'm_key': 'rolling-lgmb-seq3', 'm_name': 'Rolling Window 3% 3-Day using LGBM', 'pass_count': 7196, 'total_count': 11975, 'unique_pick_dates': 16}, {'avg_performance': 7.483100367703542, 'fail_count': 912, 'hit_rate': 58.46994535519126, 'm_id': 36, 'm_key': 'rolling-lgmb-seq3-isotonic', 'm_name': 'Rolling Window 3% 3-Day using LGBM and ' 'applying isotonic caliberation', 'pass_count': 1284, 'total_count': 2196, 'unique_pick_dates': 5}, {'avg_performance': 2.447930491478219, 'fail_count': 11061, 'hit_rate': 33.86151638364028, 'm_id': 2, 'm_key': 'rolling-v2-cb-seq3', 'm_name': 'Rolling Window 3% v2 3-Day using CatBoost', 'pass_count': 5663, 'total_count': 16724, 'unique_pick_dates': 22}, {'avg_performance': 7.01275595825313, 'fail_count': 304, 'hit_rate': 61.61616161616162, 'm_id': 48, 'm_key': 'rolling-v2-cb-seq3-isotonic', 'm_name': 'Rolling Window 3% v2 3-Day using CatBoost ' 'apply isotonic Caliberation', 'pass_count': 488, 'total_count': 792, 'unique_pick_dates': 1}, {'avg_performance': 2.6176765756375255, 'fail_count': 8525, 'hit_rate': 36.118396403147244, 'm_id': 7, 'm_key': 'rolling-v2-lgmb-seq3', 'm_name': 'Rolling Window 3% v2 3-Day using LGBM', 'pass_count': 4820, 'total_count': 13345, 'unique_pick_dates': 18}, {'avg_performance': 4.844426456407343, 'fail_count': 1312, 'hit_rate': 45.196324143692564, 'm_id': 37, 'm_key': 'rolling-v2-lgmb-seq3-isotonic', 'm_name': 'Rolling Window 3% v2 3-Day using LGBM and ' 'applying isotonic caliberation', 'pass_count': 1082, 'total_count': 2394, 'unique_pick_dates': 3}, {'avg_performance': 8.206353214541172, 'fail_count': 4295, 'hit_rate': 48.15932407966204, 'm_id': 23, 'm_key': 'rolling-cb-p5-seq3', 'm_name': 'Rolling Window 5% 3-Day using CatBoost', 'pass_count': 3990, 'total_count': 8285, 'unique_pick_dates': 19}, {'avg_performance': 8.44633063064269, 'fail_count': 4577, 'hit_rate': 49.008467023172905, 'm_id': 24, 'm_key': 'rolling-lgmb-p5-seq3', 'm_name': 'Rolling Window 5% 3-Day using LGBM', 'pass_count': 4399, 'total_count': 8976, 'unique_pick_dates': 12}, {'avg_performance': 2.0798033771846334, 'fail_count': 7870, 'hit_rate': 19.529652351738243, 'm_id': 25, 'm_key': 'rolling-v2-cb-p5-seq3', 'm_name': 'Rolling Window 5% v2 3-Day using CatBoost', 'pass_count': 1910, 'total_count': 9780, 'unique_pick_dates': 13}, {'avg_performance': 2.2476356434830973, 'fail_count': 5792, 'hit_rate': 22.25503355704698, 'm_id': 26, 'm_key': 'rolling-v2-lgmb-p5-seq3', 'm_name': 'Rolling Window 5% v2 3-Day using LGBM', 'pass_count': 1658, 'total_count': 7450, 'unique_pick_dates': 10}], 'date_from': datetime.date(2025, 1, 13), 'date_to': datetime.date(2025, 3, 14), 'model_id': None, 'models': '<<queryset of core.Model>>'} {'block': <Block Node: footer. Contents: [<TextNode: '\n '>, <IncludeNode: template=<FilterExpression '"components/footer.html"'>>, <TextNode: '\n '>]>}

Context processors

django.template.context_processors.csrf: Toggle context
{'csrf_token': <SimpleLazyObject: <function csrf.<locals>._get_val at 0x7ff6532d47c0>>}
django.template.context_processors.debug: Toggle context
{}
django.template.context_processors.request: Toggle context
{'request': <WSGIRequest: GET '/model/benchmarks'>}
django.contrib.auth.context_processors.auth: Toggle context
{'user': <SimpleLazyObject: <django.contrib.auth.models.AnonymousUser object at 0x7ff6536d5910>>, 'perms': PermWrapper(<SimpleLazyObject: <django.contrib.auth.models.AnonymousUser object at 0x7ff6536d5910>>)}
django.contrib.messages.context_processors.messages: Toggle context
{'messages': <FallbackStorage: request=<WSGIRequest: GET '/model/benchmarks'>>, '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	6.4733680337667465 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
0.4511	get	('model_benchmark_context',)	{}	<django.core.cache.backends.filebased.FileBasedCache object at 0x7ff6538fbc50>
/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_benchmarks(524) context = cache.get(cache_key)
6.0223	set	('model_benchmark_context', {'models': <QuerySet [<Model: Binned Window 10% 3-Day using CatBoost (binned-cb-p10-seq3 v1)>, <Model: Binned Window 10% 3-Day using LGBM (binned-lgmb-p10-seq3 v1)>, <Model: Binned Window 10% v2 3-Day using CatBoost (binned-v2-cb-p10-seq3 v1)>, <Model: Binned Window 10% v2 3-Day using LGBM (binned-v2-lgmb-p10-seq3 v1)>, <Model: Binned Window 2% 3-Day using CatBoost (binned-cb-p2-seq3 v1)>, <Model: Binned Window 2% 3-Day using CatBoost apply isotonic caliberate (binned-cb-p2-seq3-isotonic v1)>, <Model: Binned Window 2% 3-Day using LGBM (binned-lgmb-p2-seq3 v1)>, <Model: Binned Window 2% 3-Day using LGBM apply isotonic caliberate (binned-lgmb-p2-seq3-isotonic v1)>, <Model: Binned Window 2% v2 3-Day using CatBoost (binned-v2-cb-p2-seq3 v1)>, <Model: Binned Window 2% v2 3-Day using CatBoost apply isotonic caliberate (binned-v2-cb-p2-seq3-isotonic v1)>, <Model: Binned Window 2% v2 3-Day using LGBM (binned-v2-lgmb-p2-seq3 v1)>, <Model: Binned Window 2% v2 3-Day using LGBM apply isotonic caliberation (binned-v2-lgmb-p2-seq3-isotonic v1)>, <Model: Binned Window 3% 3-Day using CatBoost (binned-cb-seq3 v1)>, <Model: Binned Window 3% 3-Day using CatBoost and apply isotonic caliberation (binned-cb-seq3-isotonic v1)>, <Model: Binned Window 3% 3-Day using LGBM (binned-lgmb-seq3 v1)>, <Model: Binned Window 3% 3-Day using LGBM and apply isotonic caliberation (binned-lgmb-seq3-isotonic v1)>, <Model: Binned Window 3% v2 3-Day using CatBoost (binned-v2-cb-seq3 v1)>, <Model: Binned Window 3% v2 3-Day using CatBoost apply isotonic caliberation (binned-v2-cb-seq3-isotonic v1)>, <Model: Binned Window 3% v2 3-Day using LGBM (binned-v2-lgmb-seq3 v1)>, <Model: Binned Window 3% v2 3-Day using LGBM apply isotonic caliberation (binned-v2-lgmb-seq3-isotonic v1)>, '...(remaining elements truncated)...']>, 'model_id': None, 'date_to': datetime.date(2025, 3, 14), 'date_from': datetime.date(2025, 1, 13), 'benchmark_list': [{'m_id': 27, 'm_name': 'Binned Window 10% 3-Day using CatBoost', 'm_key': 'binned-cb-p10-seq3', 'total_count': 4929, 'pass_count': 1094, 'fail_count': 3835, 'unique_pick_dates': 8, 'hit_rate': 22.195171434368024, 'avg_performance': 7.9771497011526495}, {'m_id': 28, 'm_name': 'Binned Window 10% 3-Day using LGBM', 'm_key': 'binned-lgmb-p10-seq3', 'total_count': 9137, 'pass_count': 1717, 'fail_count': 7420, 'unique_pick_dates': 13, 'hit_rate': 18.79172594943636, 'avg_performance': 7.35404916011031}, {'m_id': 29, 'm_name': 'Binned Window 10% v2 3-Day using CatBoost', 'm_key': 'binned-v2-cb-p10-seq3', 'total_count': 5189, 'pass_count': 593, 'fail_count': 4596, 'unique_pick_dates': 8, 'hit_rate': 11.428020813258817, 'avg_performance': 2.892499895353106}, {'m_id': 30, 'm_name': 'Binned Window 10% v2 3-Day using LGBM', 'm_key': 'binned-v2-lgmb-p10-seq3', 'total_count': 4997, 'pass_count': 590, 'fail_count': 4407, 'unique_pick_dates': 8, 'hit_rate': 11.80708425055033, 'avg_performance': 3.574469784541104}, {'m_id': 11, 'm_name': 'Binned Window 2% 3-Day using CatBoost', 'm_key': 'binned-cb-p2-seq3', 'total_count': 9636, 'pass_count': 6719, 'fail_count': 2917, 'unique_pick_dates': 16, 'hit_rate': 69.72810294728103, 'avg_performance': 7.753021598133643}, {'m_id': 53, 'm_name': 'Binned Window 2% 3-Day using CatBoost apply isotonic caliberate', 'm_key': 'binned-cb-p2-seq3-isotonic', 'total_count': 2208, 'pass_count': 1671, 'fail_count': 537, 'unique_pick_dates': 3, 'hit_rate': 75.67934782608695, 'avg_performance': 7.423140504227935}, {'m_id': 12, 'm_name': 'Binned Window 2% 3-Day using LGBM', 'm_key': 'binned-lgmb-p2-seq3', 'total_count': 15472, 'pass_count': 11237, 'fail_count': 4235, 'unique_pick_dates': 23, 'hit_rate': 72.62797311271976, 'avg_performance': 7.738714881875857}, {'m_id': 13, 'm_name': 'Binned Window 2% v2 3-Day using CatBoost', 'm_key': 'binned-v2-cb-p2-seq3', 'total_count': 13396, 'pass_count': 5460, 'fail_count': 7936, 'unique_pick_dates': 21, 'hit_rate': 40.758435353836965, 'avg_performance': 2.2225457932227517}, {'m_id': 56, 'm_name': 'Binned Window 2% v2 3-Day using CatBoost apply isotonic caliberate', 'm_key': 'binned-v2-cb-p2-seq3-isotonic', 'total_count': 2032, 'pass_count': 852, 'fail_count': 1180, 'unique_pick_dates': 3, 'hit_rate': 41.92913385826772, 'avg_performance': 3.013464760450534}, {'m_id': 14, 'm_name': 'Binned Window 2% v2 3-Day using LGBM', 'm_key': 'binned-v2-lgmb-p2-seq3', 'total_count': 12149, 'pass_count': 4907, 'fail_count': 7242, 'unique_pick_dates': 19, 'hit_rate': 40.39015556835954, 'avg_performance': 2.364685197794192}, {'m_id': 55, 'm_name': 'Binned Window 2% v2 3-Day using LGBM apply isotonic caliberation', 'm_key': 'binned-v2-lgmb-p2-seq3-isotonic', 'total_count': 1939, 'pass_count': 855, 'fail_count': 1084, 'unique_pick_dates': 3, 'hit_rate': 44.09489427539969, 'avg_performance': 2.6729692742325133}, {'m_id': 5, 'm_name': 'Binned Window 3% 3-Day using CatBoost', 'm_key': 'binned-cb-seq3', 'total_count': 15821, 'pass_count': 9699, 'fail_count': 6122, 'unique_pick_dates': 25, 'hit_rate': 61.30459515833386, 'avg_performance': 7.855651976302984}, {'m_id': 42, 'm_name': 'Binned Window 3% 3-Day using CatBoost and apply isotonic caliberation ', 'm_key': 'binned-cb-seq3-isotonic', 'total_count': 544, 'pass_count': 368, 'fail_count': 176, 'unique_pick_dates': 1, 'hit_rate': 67.6470588235294, 'avg_performance': 7.293960938014766}, {'m_id': 6, 'm_name': 'Binned Window 3% 3-Day using LGBM', 'm_key': 'binned-lgmb-seq3', 'total_count': 11323, 'pass_count': 7368, 'fail_count': 3955, 'unique_pick_dates': 17, 'hit_rate': 65.07109423297713, 'avg_performance': 8.246497592551856}, {'m_id': 41, 'm_name': 'Binned Window 3% 3-Day using LGBM and apply isotonic caliberation', 'm_key': 'binned-lgmb-seq3-isotonic', 'total_count': 707, 'pass_count': 281, 'fail_count': 426, 'unique_pick_dates': 1, 'hit_rate': 39.74540311173975, 'avg_performance': 4.878386543545617}, {'m_id': 9, 'm_name': 'Binned Window 3% v2 3-Day using CatBoost', 'm_key': 'binned-v2-cb-seq3', 'total_count': 12465, 'pass_count': 4235, 'fail_count': 8230, 'unique_pick_dates': 20, 'hit_rate': 33.97513036502206, 'avg_performance': 2.506025988284489}, {'m_id': 8, 'm_name': 'Binned Window 3% v2 3-Day using LGBM', 'm_key': 'binned-v2-lgmb-seq3', 'total_count': 10289, 'pass_count': 3579, 'fail_count': 6710, 'unique_pick_dates': 15, 'hit_rate': 34.7847215472835, 'avg_performance': 2.7464737315062364}, {'m_id': 50, 'm_name': 'Binned Window 3% v2 3-Day using LGBM apply isotonic caliberation', 'm_key': 'binned-v2-lgmb-seq3-isotonic', 'total_count': 1152, 'pass_count': 619, 'fail_count': 533, 'unique_pick_dates': 2, 'hit_rate': 53.732638888888886, 'avg_performance': 4.585798008927283}, {'m_id': 19, 'm_name': 'Binned Window 5% 3-Day using CatBoost', 'm_key': 'binned-cb-p5-seq3', 'total_count': 6318, 'pass_count': 2682, 'fail_count': 3636, 'unique_pick_dates': 20, 'hit_rate': 42.45014245014245, 'avg_performance': 7.221693345209958}, {'m_id': 20, 'm_name': 'Binned Window 5% 3-Day using LGBM', 'm_key': 'binned-lgmb-p5-seq3', 'total_count': 3501, 'pass_count': 1476, 'fail_count': 2025, 'unique_pick_dates': 5, 'hit_rate': 42.159383033419026, 'avg_performance': 7.709147207512532}, {'m_id': 21, 'm_name': 'Binned Window 5% v2 3-Day using CatBoost', 'm_key': 'binned-v2-cb-p5-seq3', 'total_count': 6333, 'pass_count': 1714, 'fail_count': 4619, 'unique_pick_dates': 10, 'hit_rate': 27.064582346439288, 'avg_performance': 3.5956710412610846}, {'m_id': 22, 'm_name': 'Binned Window 5% v2 3-Day using LGBM', 'm_key': 'binned-v2-lgmb-p5-seq3', 'total_count': 4886, 'pass_count': 1058, 'fail_count': 3828, 'unique_pick_dates': 8, 'hit_rate': 21.653704461727383, 'avg_performance': 1.9366299018477484}, {'m_id': 31, 'm_name': 'Rolling Window 10% 3-Day using CatBoost', 'm_key': 'rolling-cb-p10-seq3', 'total_count': 9436, 'pass_count': 1750, 'fail_count': 7686, 'unique_pick_dates': 12, 'hit_rate': 18.5459940652819, 'avg_performance': 7.368873515363233}, {'m_id': 32, 'm_name': 'Rolling Window 10% 3-Day using LGBM', 'm_key': 'rolling-lgmb-p10-seq3', 'total_count': 11592, 'pass_count': 2330, 'fail_count': 9262, 'unique_pick_dates': 15, 'hit_rate': 20.100069013112492, 'avg_performance': 7.689426470004973}, {'m_id': 33, 'm_name': 'Rolling Window 10% v2 3-Day using CatBoost', 'm_key': 'rolling-v2-cb-p10-seq3', 'total_count': 12826, 'pass_count': 1305, 'fail_count': 11521, 'unique_pick_dates': 17, 'hit_rate': 10.174645251832215, 'avg_performance': 2.308331440824379}, {'m_id': 34, 'm_name': 'Rolling Window 10% v2 3-Day using LGBM', 'm_key': 'rolling-v2-lgmb-p10-seq3', 'total_count': 11420, 'pass_count': 1349, 'fail_count': 10071, 'unique_pick_dates': 15, 'hit_rate': 11.812609457092819, 'avg_performance': 3.2884271966483634}, {'m_id': 15, 'm_name': 'Rolling Window 2% 3-Day using CatBoost', 'm_key': 'rolling-cb-p2-seq3', 'total_count': 12960, 'pass_count': 9469, 'fail_count': 3491, 'unique_pick_dates': 18, 'hit_rate': 73.06327160493827, 'avg_performance': 7.601941231596879}, {'m_id': 51, 'm_name': 'Rolling Window 2% 3-Day using CatBoost and apply isotonic caliberation', 'm_key': 'rolling-cb-p2-seq3-isotonic', 'total_count': 3064, 'pass_count': 2321, 'fail_count': 743, 'unique_pick_dates': 4, 'hit_rate': 75.75065274151436, 'avg_performance': 7.81159044361837}, {'m_id': 16, 'm_name': 'Rolling Window 2% 3-Day using LGBM', 'm_key': 'rolling-lgmb-p2-seq3', 'total_count': 11429, 'pass_count': 8143, 'fail_count': 3286, 'unique_pick_dates': 16, 'hit_rate': 71.24857817831831, 'avg_performance': 7.599192376380411}, {'m_id': 17, 'm_name': 'Rolling Window 2% v2 3-Day using CatBoost', 'm_key': 'rolling-v2-cb-p2-seq3', 'total_count': 10935, 'pass_count': 4196, 'fail_count': 6739, 'unique_pick_dates': 15, 'hit_rate': 38.37219935985368, 'avg_performance': 1.8971698741780927}, {'m_id': 18, 'm_name': 'Rolling Window 2% v2 3-Day using LGBM', 'm_key': 'rolling-v2-lgmb-p2-seq3', 'total_count': 7449, 'pass_count': 3095, 'fail_count': 4354, 'unique_pick_dates': 10, 'hit_rate': 41.54920123506511, 'avg_performance': 2.3503164833745025}, {'m_id': 58, 'm_name': 'Rolling Window 2% v2 3-Day using LGBM apply isotonic caliberation', 'm_key': 'rolling-v2-lgmb-p2-seq3-isotonic', 'total_count': 1546, 'pass_count': 505, 'fail_count': 1041, 'unique_pick_dates': 2, 'hit_rate': 32.66494178525227, 'avg_performance': 1.4685921019657766}, {'m_id': 3, 'm_name': 'Rolling Window 3% 3-Day using CatBoost', 'm_key': 'rolling-cb-seq3', 'total_count': 12148, 'pass_count': 7421, 'fail_count': 4727, 'unique_pick_dates': 16, 'hit_rate': 61.0882449785973, 'avg_performance': 7.891600684097596}, {'m_id': 47, 'm_name': 'Rolling Window 3% 3-Day using CatBoost apply isotonic caliberation', 'm_key': 'rolling-cb-seq3-isotonic', 'total_count': 3068, 'pass_count': 1727, 'fail_count': 1341, 'unique_pick_dates': 4, 'hit_rate': 56.29074315514993, 'avg_performance': 6.912804573585362}, {'m_id': 4, 'm_name': 'Rolling Window 3% 3-Day using LGBM', 'm_key': 'rolling-lgmb-seq3', 'total_count': 11975, 'pass_count': 7196, 'fail_count': 4779, 'unique_pick_dates': 16, 'hit_rate': 60.09185803757829, 'avg_performance': 7.540922216828744}, {'m_id': 36, 'm_name': 'Rolling Window 3% 3-Day using LGBM and applying isotonic caliberation', 'm_key': 'rolling-lgmb-seq3-isotonic', 'total_count': 2196, 'pass_count': 1284, 'fail_count': 912, 'unique_pick_dates': 5, 'hit_rate': 58.46994535519126, 'avg_performance': 7.483100367703542}, {'m_id': 2, 'm_name': 'Rolling Window 3% v2 3-Day using CatBoost', 'm_key': 'rolling-v2-cb-seq3', 'total_count': 16724, 'pass_count': 5663, 'fail_count': 11061, 'unique_pick_dates': 22, 'hit_rate': 33.86151638364028, 'avg_performance': 2.447930491478219}, {'m_id': 48, 'm_name': 'Rolling Window 3% v2 3-Day using CatBoost apply isotonic Caliberation', 'm_key': 'rolling-v2-cb-seq3-isotonic', 'total_count': 792, 'pass_count': 488, 'fail_count': 304, 'unique_pick_dates': 1, 'hit_rate': 61.61616161616162, 'avg_performance': 7.01275595825313}, {'m_id': 7, 'm_name': 'Rolling Window 3% v2 3-Day using LGBM', 'm_key': 'rolling-v2-lgmb-seq3', 'total_count': 13345, 'pass_count': 4820, 'fail_count': 8525, 'unique_pick_dates': 18, 'hit_rate': 36.118396403147244, 'avg_performance': 2.6176765756375255}, {'m_id': 37, 'm_name': 'Rolling Window 3% v2 3-Day using LGBM and applying isotonic caliberation', 'm_key': 'rolling-v2-lgmb-seq3-isotonic', 'total_count': 2394, 'pass_count': 1082, 'fail_count': 1312, 'unique_pick_dates': 3, 'hit_rate': 45.196324143692564, 'avg_performance': 4.844426456407343}, {'m_id': 23, 'm_name': 'Rolling Window 5% 3-Day using CatBoost', 'm_key': 'rolling-cb-p5-seq3', 'total_count': 8285, 'pass_count': 3990, 'fail_count': 4295, 'unique_pick_dates': 19, 'hit_rate': 48.15932407966204, 'avg_performance': 8.206353214541172}, {'m_id': 24, 'm_name': 'Rolling Window 5% 3-Day using LGBM', 'm_key': 'rolling-lgmb-p5-seq3', 'total_count': 8976, 'pass_count': 4399, 'fail_count': 4577, 'unique_pick_dates': 12, 'hit_rate': 49.008467023172905, 'avg_performance': 8.44633063064269}, {'m_id': 25, 'm_name': 'Rolling Window 5% v2 3-Day using CatBoost', 'm_key': 'rolling-v2-cb-p5-seq3', 'total_count': 9780, 'pass_count': 1910, 'fail_count': 7870, 'unique_pick_dates': 13, 'hit_rate': 19.529652351738243, 'avg_performance': 2.0798033771846334}, {'m_id': 26, 'm_name': 'Rolling Window 5% v2 3-Day using LGBM', 'm_key': 'rolling-v2-lgmb-p5-seq3', 'total_count': 7450, 'pass_count': 1658, 'fail_count': 5792, 'unique_pick_dates': 10, 'hit_rate': 22.25503355704698, 'avg_performance': 2.2476356434830973}]}, 86400)	{}	<django.core.cache.backends.filebased.FileBasedCache object at 0x7ff6538fbc50>
/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_benchmarks(600) 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

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

Benchmarks

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 (5 rendered)

Template path

Templates

Context processors

Cache calls from 1 backend

Summary

Commands

Calls

Signals