Öffentliches RegisterExzellent
Software-GesundheitsberichtSchema 0.27.0 · Metriken 2.3.1 · 2026-08-02 16:00 UTC
jesse-ai / jesse
An advanced crypto trading bot written in Python
jesse-ai/jesse erreicht einen Gesundheitsindex von 87 von 100 und liegt damit im Bereich Exzellent. Am stärksten schneidet es bei Vitality (93/100) ab, am schwächsten bei Security (54/100). Zuletzt heute aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.
87
gesamt / 100Software-Gesundheitsindex
Metriken werden auf einer standardisierten Skala von 1–100 in gewichtete Kategorien gruppiert. Der Gesamtwert beginnt als ihr gewichtetes Mittel, kalibriert auf die Verteilung des öffentlichen Registers, sodass die Stufen Perzentilbedeutung tragen; sobald öffentliche Evidenz die Richtlinie für Hochrisikojurisdiktionen auslöst, wird die Bewertung angepasst und erhält die Obergrenze Gefährdet von 34.
87
Außergewöhnlich93-100Die Spitzengruppe des Registers (≈ obere 5 %); erfüllt im Wesentlichen alle geprüften Kriterien
Exzellent80-92Durchgehend stark; geringfügige Lücken
Gut65-79Gesund; Lücken sind begrenzt und beherrschbar
Mittel50-64Akzeptabel mit deutlichen Lücken; Überprüfung empfohlen
Schwach35-49Wesentliche Schwächen in mehreren Bereichen
Gefährdet20-34Erhebliche Schwächen; eine Übernahme erfordert Vorsicht
Kritisch1-19Schwerwiegende Probleme (aufgegeben, nur ein Maintainer, keine Hygiene)
Bewertungsprofil
Jede Achse ist eine Kategorie. Die Form zählt mehr als der Durchschnitt — ein gesundes Projekt füllt die gesamte Fläche, während ein Profil aus Spitzen und Kratern bedeutet, dass Stärke in einer Dimension Risiken in einer anderen verdeckt.
Der gewichtete Gesamtwert 73 wird auf der veröffentlichten Indexskala auf 87 kalibriert (Register-Kalibrierung 2026-08-02).
Eigentümerschaft
JesseOrganisation
367 Follower24 öffentliche Reposseit Nov. 2018
Dieses Repository wird von einer Organisation getragen — geteilte, rechenschaftspflichtige Trägerschaft, die jeden einzelnen Maintainer überdauern kann.
Paket-Ökosysteme
| Registry | Paket | Version | Downloads / Monat | Versionen | Zuletzt veröffentlicht |
|---|---|---|---|---|---|
| PyPI | jesse | 3.0.0 | - | 358 | vor 0 Tagen |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
93
Entwicklungsaktivität
96Außergewöhnlich
Wie die Bewertung erfolgt
| 36/36 | Push-Aktualität — letzter Push vor 0 Tagen |
| 32.5/36 | Commit-Rhythmus — 47/52 Wochen mit Commits |
| 18/18 | Commit-Volumen — 421 Commits im letzten Jahr |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 9 issue activity found in the last 90 days -- score normalized to 10 |
Verwendete Eingangsdaten
| commits_last_year | 421 |
| human_commit_share | 0,99 |
| days_since_last_push | 0 |
| active_weeks_last_year | 47 |
Release-Disziplin
88Exzellent
Wie die Bewertung erfolgt
| 16.2/27 | Liefert Releases aus — 10 Versions-Tags (keine GitHub-Releases) |
| 36/36 | Release-Aktualität — letztes Release vor 0 Tagen |
| 27/27 | Release-Rhythmus — ein Release etwa alle 7 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 10 |
| latest_release_tag | v3.0.0 |
| releases_from_tags | ja |
| days_since_latest_release | 0 |
| mean_days_between_releases | 7 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: Signed-Releases. Die verbleibenden Gewichte wurden renormalisiert.
Community & Verbreitung
Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?
76
Popularität & Verbreitung
98Außergewöhnlich
Wie die Bewertung erfolgt
| 60/60 | Stars — 8.281 Stars |
| 25/25 | Forks — 1.188 Forks |
| 12.9/15 | Watcher — 207 Watcher |
Verwendete Eingangsdaten
| forks | 1.188 |
| stars | 8.281 |
| watchers | 207 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community-Gesundheit
50Mittel
Wie die Bewertung erfolgt
| 22.5/22.5 | README |
| 22.5/22.5 | Lizenz — anerkannte Lizenz (MIT) |
| 0/18 | CONTRIBUTING-Leitfaden |
| 0/13.5 | Verhaltenskodex |
| 0/7.2 | Issue-Vorlage |
| 0/6.3 | PR-Vorlage |
Verwendete Eingangsdaten
| has_readme | ja |
| has_license | ja |
| readme_badges | — |
| has_contributing | nein |
| has_issue_template | nein |
| has_code_of_conduct | nein |
| readme_badge_services | — |
| has_pull_request_template | nein |
Nachhaltigkeit & Governance
Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?
68
Maintainer-Resilienz (Bus-Faktor)
41Schwach
Wie die Bewertung erfolgt
| 9/54 | Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab |
| 8.1/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 64 % der Commits |
| 13.5/13.5 | Breite der Beitragenden — 50 Beitragende |
| 10/10 | OpenSSF Scorecard: Contributors — project has 7 contributing companies or organizations |
Verwendete Eingangsdaten
| bus_factor | 1 |
| contributors_sampled | 50 |
| top_contributor_share | 0,638 |
Wie die Bewertung erfolgt
| 40.7/42 | Issue-Lösungsquote — 97 % der Issues geschlossen |
| 19.8/30 | PR-Annahme — 278/422 entschiedene PRs gemergt |
| 0/13 | Newcomer PR acceptance — kein PR eines Erstbeitragenden in 30 Tagen entschieden |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 0/28 approved changesets -- score normalized to 0 |
Verwendete Eingangsdaten
| merged_prs | 278 |
| open_issues | 5 |
| closed_issues | 153 |
| prs_merged_7d | — |
| prs_decided_7d | — |
| prs_merged_30d | — |
| prs_decided_30d | — |
| issue_closed_ratio | 0,968 |
| closed_unmerged_prs | 144 |
| first_time_authors_30d | — |
| first_time_prs_merged_30d | — |
| first_time_prs_decided_30d | — |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): newcomer_pr_acceptance. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
| 30/30 | Organisatorische Trägerschaft — im Besitz einer Organisation |
| 0/20 | Verifizierte Domain |
| 18.4/25 | Reichweite des Inhabers — 367 Follower von jesse-ai |
| 22.2/25 | Kontohistorie — 24 öffentliche Repos, Kontoalter ca. 7 Jahre |
Verwendete Eingangsdaten
| followers | 367 |
| owner_type | Organization |
| is_verified | — |
| owner_login | jesse-ai |
| public_repos | 24 |
| account_age_days | 2.823 |
Paketpflege
100Außergewöhnlich
Wie die Bewertung erfolgt
| 25/25 | Veröffentlicht & auflösbar — 1 Paket(e) auf pypi |
| 35/35 | Veröffentlichungsaktualität — letzte Veröffentlichung vor 0 Tagen |
| 20/20 | Versionshistorie — 358 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
Verwendete Eingangsdaten
| packages | jesse |
| ecosystems | pypi |
| any_deprecated | nein |
| min_days_since_publish | 0 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
71
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 3 Workflow(s) |
| 24/24 | Tests vorhanden |
| 0/16 | Linter-Konfiguration |
| 0/9.6 | Pre-Commit-Hooks |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 2 out of 2 merged PRs checked by a CI test -- score normalized to 10 |
Verwendete Eingangsdaten
| has_ci | ja |
| has_tests | ja |
| has_editorconfig | nein |
| has_linter_config | nein |
| has_precommit_config | nein |
Dokumentation
75Gut
Wie die Bewertung erfolgt
| 30/30 | README |
| 0/25 | Dokumentationsverzeichnis |
| 15/15 | Dokumentations-/Homepage-Site — https://jesse.trade |
| 10/10 | Repository-Beschreibung |
| 10/10 | Topics — 18 Topics |
| 10/10 | Wiki |
Verwendete Eingangsdaten
| topics | cryptocurrency, trading-bot, trading-algorithms, trading, crypto, framework, algo-trading, algorithmic-trading, jesse, trading-strategies, python, bot, crypto-bot, bitcoin, trade, crypto-bot-trading, quantitative-finance, quantitative-trading |
| has_wiki | ja |
| homepage | https://jesse.trade |
| has_readme | ja |
| has_docs_dir | nein |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
54
Sicherheitslage
43Schwach
Wie die Bewertung erfolgt
| 0.8/7.5 | Binary-Artifacts — binaries present in source code |
| 0/7.5 | Branch-Protection — branch protection not enabled on development/release branches |
| 2.5/2.5 | CI-Tests — 2 out of 2 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 0/7.5 | Code-Review — Found 0/28 approved changesets -- score normalized to 0 |
| 2.5/2.5 | Contributors — project has 7 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | Lizenz — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 9 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 3.5/5 | SAST — SAST tool detected but not run on all commits |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — keine Daten |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 0/7.5 | Vulnerabilities — 23 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 17 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 1 |
| scorecard_aggregate | 4,3 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): signed_releases. Die verbleibenden Gewichte wurden renormalisiert.
Abhängigkeits-Advisories
100Außergewöhnlich
Wie die Bewertung erfolgt
| 35/35 | Direkte Abhängigkeiten ohne bekannte Advisories — keine direkte Abhängigkeit trägt ein bekanntes Advisory |
| 0/25 | Indirekte Abhängigkeiten ohne bekannte Advisories — transitive Menge in diesem Bereich nicht von Entwicklungs- und Test-Abhängigkeiten trennbar |
| 0/40 | Keine offenen Advisories — kein Advisory trägt ein Veröffentlichungsdatum |
Verwendete Eingangsdaten
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 2 |
| unassessed_packages | 36 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Indirekte Abhängigkeiten ohne bekannte Advisories, Keine offenen Advisories. Die verbleibenden Gewichte wurden renormalisiert. 2 aufgelöste Abhängigkeiten wurden mit OSV abgeglichen. 36 konnten nicht bewertet werden — keine aufgelöste Version, ein nicht unterstütztes Ökosystem oder außerhalb der ausgewiesenen Paketliste. Dieses Repository veröffentlicht kein Paket, das der Index auflöst; bewertet wurde daher der Abhängigkeitsgraph des Repositorys. Dieser Graph vermischt Entwicklungs- und Test-Pins mit ausgelieferten Abhängigkeiten, daher werden nur die deklarierten Laufzeit-Abhängigkeiten bewertet; transitive Befunde werden als Kontext ausgewiesen und fließen nicht in die Bewertung ein. Erreichbarkeit wird nicht analysiert.
AI Readiness
Wie gut ist das Repository dafür ausgestattet, mit KI-Coding-Agenten entwickelt und gepflegt zu werden? Trägt ein bewusst kleines Gewicht (4 %): Agenten-Tooling ist ein echtes Pflegesignal, doch ein Repository ohne jedes Signal kann weiterhin 100/100 erreichen.
60
Wie die Bewertung erfolgt
| 45/45 | Agentenanweisungen — AGENTS.md |
| 0/15 | Maschinenlesbare Doku (llms.txt) |
| 31.8/40 | Lesbare Commit-Historie — 59 von 99 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text) |
Verwendete Eingangsdaten
| has_llms_txt | nein |
| legible_history_share | 0,596 |
| agent_instruction_files | AGENTS.md |
| agent_instruction_max_bytes | 10.691 |
Wie die Bewertung erfolgt
| 0/18 | Bootstrap mit einem Befehl |
| 22/22 | Automatisierte Tests |
| 0/11 | Lint-/Format-Konfiguration |
| 0/11 | Statische Typprüfung |
| 10/10 | Reproduzierbare Umgebung — Dockerfile |
| 10/10 | Belegte Agentenpraxis — 45 der letzten 100 Commits von Agenten verfasst oder ihnen zugeschrieben |
| 8/8 | Automatisierte Wartung — 1 der letzten 100 Commits sind automatisierte Abhängigkeits-Updates |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Verwendete Eingangsdaten
| has_nix | nein |
| has_tests | ja |
| lockfiles | — |
| has_dockerfile | ja |
| typed_language | nein |
| bootstrap_files | — |
| has_devcontainer | nein |
| has_linter_config | nein |
| typecheck_configs | — |
| agent_commit_share | 0,45 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0,01 |
AI-Code-Lesbarkeit für Modelle
52Mittel
Wie die Bewertung erfolgt
| 0/45 | Typprüfbarer Code — Python ohne Typprüfungs-Konfiguration |
| 52.4/55 | Handhabbare Dateigrößen — 53/1.106 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | Python |
| largest_source_bytes | 6.915.612 |
| source_files_sampled | 1.106 |
| oversized_source_files | 53 |
Eckdaten
8.281GitHub-Sterne
50Mitwirkende
421Commits, letzte 12 Monate
0Tage seit letztem Push
10Releases
1Bus-Faktor
5offene Issues
PyPIPaket-Ökosysteme
Warnungen zur Datenerhebung
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
- deps.dev does not index pypi:jesse@3.0.0; advisories assessed against the repository dependency graph instead
Weitere Details
Stern- und Fork-Verlauf 0 ★ / 1.188 ⇿
0Sterne
1.188Forks
9Releases
Wann jeder Stern und Fork hinzugefügt wurde, von GitHub erfasst und nach Tagen gruppiert. Das kumulierte Wachstum steht direkt über den täglichen Zugängen, aus denen es besteht, sodass beide gegeneinander lesbar sind: stetiger organischer Zuwachs sieht ganz anders aus als ein abrupter, kurzlebiger Ausschlag. Wo dieser Unterschied messbar ist, wird er als Wachstumsauthentizität ausgewiesen.
Es wird nur die jüngste Historie angezeigt — dieses Repository überschreitet das Erfassungsfenster, sodass die früheste Historie nicht erfasst wird.
Major 0Minor 3Patch 6
Jeder Punkt umfasst 5 Tage.
OpenSSF Scorecard 4.3 / 10
4.3Gesamtwert
Unabhängige, werkzeugneutrale Sicherheitsbewertung durch das quelloffene OpenSSF Scorecard. Jede Prüfung honoriert eine Sicherheits-Praxis, nicht das Werkzeug eines bestimmten Anbieters. Prüfungen, die Scorecard nicht ermitteln konnte, sind mit k. A. markiert und vom Sicherheitswert ausgeschlossen (nie als null gezählt).
| 1 | Binary-Artifacts | binaries present in source code |
| 0 | Branch-Protection | branch protection not enabled on development/release branches |
| 10 | CI-Tests | 2 out of 2 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 0 | Code-Review | Found 0/28 approved changesets -- score normalized to 0 |
| 10 | Contributors | project has 7 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 9 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 7 | SAST | SAST tool detected but not run on all commits |
| 0 | Security-Policy | security policy file not detected |
| k. A. | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 0 | Vulnerabilities | 23 existing vulnerabilities detected |
Alle Abhängigkeiten 38
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 0 direkte und 38 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | aiofiles | — | indirekt |
| PyPI | aioredis | — | indirekt |
| PyPI | arrow | — | indirekt |
| PyPI | blinker | — | indirekt |
| PyPI | click | — | indirekt |
| PyPI | cryptography | — | indirekt |
| PyPI | ecdsa | — | indirekt |
| PyPI | eth-account | — | indirekt |
| PyPI | fastapi | — | indirekt |
| PyPI | fnc | — | indirekt |
| PyPI | jesse-rust | 1.2.0 | indirekt |
| PyPI | joblib | — | indirekt |
| PyPI | matplotlib | — | indirekt |
| PyPI | mcp | 1.28.1 | indirekt |
| PyPI | msgpack | — | indirekt |
| PyPI | numpy | — | indirekt |
| PyPI | optuna | — | indirekt |
| PyPI | pandas | — | indirekt |
| PyPI | peewee | — | indirekt |
| PyPI | psycopg2-binary | — | indirekt |
| PyPI | pydash | — | indirekt |
| PyPI | pyjwt | — | indirekt |
| PyPI | pytest | — | indirekt |
| PyPI | python-dotenv | — | indirekt |
| PyPI | ray | — | indirekt |
| PyPI | redis | — | indirekt |
| PyPI | requests | — | indirekt |
| PyPI | scikit-learn | — | indirekt |
| PyPI | scipy | — | indirekt |
| PyPI | simplejson | — | indirekt |
| PyPI | starkbank-ecdsa | — | indirekt |
| PyPI | statsmodels | — | indirekt |
| PyPI | tabulate | — | indirekt |
| PyPI | timeloop | — | indirekt |
| PyPI | uvicorn | — | indirekt |
| PyPI | websocket-client | — | indirekt |
| PyPI | websockets | — | indirekt |
| PyPI | wsaccel | — | indirekt |
Abhängigkeits-Advisories 0
Dieses Repository veröffentlicht kein vom Index auflösbares Paket, daher wurde sein eigener Abhängigkeitsgraph bewertet – 2 Pakete, darunter auch Entwicklungs- und Test-Pins, die nie ausgeliefert werden: 0 tragen bekannte Advisories, davon 0 direkte. 36 konnten nicht bewertet werden – keine aufgelöste Version, ein nicht unterstütztes Ökosystem, oder außerhalb der ausgewiesenen Paketliste.
Keine bekannten Advisories betreffen die bewerteten Abhängigkeiten.
Ein Advisory bedeutet, dass die im Abhängigkeitsgraphen erfasste Version in den betroffenen Bereich eines Advisories fällt. Erreichbarkeit wird nicht analysiert, und der Graph enthält Entwicklungs- und Test-Pins — ein Fund kann das Werkzeug betreffen und nicht die ausgelieferte Software.
JSON-Rohbericht maschinenlesbar
{
"data": {
"repo": {
"topics": [
"cryptocurrency",
"trading-bot",
"trading-algorithms",
"trading",
"crypto",
"framework",
"algo-trading",
"algorithmic-trading",
"jesse",
"trading-strategies",
"python",
"bot",
"crypto-bot",
"bitcoin",
"trade",
"crypto-bot-trading",
"quantitative-finance",
"quantitative-trading"
],
"is_fork": false,
"size_kb": 102232,
"has_wiki": true,
"homepage": "https://jesse.trade",
"languages": {
"CSS": 1212,
"HTML": 36819,
"Shell": 250,
"Python": 3895743,
"Dockerfile": 703,
"JavaScript": 7332
},
"pushed_at": "2026-08-02T15:53:34Z",
"created_at": "2018-11-09T10:38:44Z",
"owner_type": "Organization",
"updated_at": "2026-08-02T15:58:35Z",
"description": "An advanced crypto trading bot written in Python",
"is_archived": false,
"is_disabled": false,
"license_spdx": "MIT",
"default_branch": "master",
"license_spdx_raw": "MIT",
"primary_language": "Python",
"significant_languages": [
"Python"
]
},
"owner": {
"blog": "https://Jesse.Trade",
"name": "Jesse",
"type": "Organization",
"login": "jesse-ai",
"company": null,
"location": "Luxembourg",
"followers": 367,
"avatar_url": "https://avatars.githubusercontent.com/u/44895627?v=4",
"created_at": "2018-11-09T10:35:28Z",
"is_verified": null,
"public_repos": 24,
"account_age_days": 2823
},
"license": {
"state": "standard",
"spdx_id": "MIT",
"raw_spdx": "MIT",
"file_present": true,
"scorecard_found": true,
"profile_has_license": true
},
"activity": {
"releases": [
{
"tag": "v3.0.0",
"kind": "major",
"published_at": "2026-08-01T16:20:58Z"
},
{
"tag": "v2.5.0",
"kind": "minor",
"published_at": "2026-07-06T16:17:43Z"
},
{
"tag": "v2.4.1",
"kind": "patch",
"published_at": "2026-06-29T15:50:46Z"
},
{
"tag": "v2.4.0",
"kind": "minor",
"published_at": "2026-06-15T16:41:19Z"
},
{
"tag": "v2.3.4",
"kind": "patch",
"published_at": "2026-06-06T14:18:14Z"
},
{
"tag": "v2.3.3",
"kind": "patch",
"published_at": "2026-06-03T17:44:21Z"
},
{
"tag": "v2.3.1",
"kind": "patch",
"published_at": "2026-06-03T16:37:26Z"
},
{
"tag": "v2.3.0",
"kind": "minor",
"published_at": "2026-06-03T15:17:23Z"
},
{
"tag": "v2.2.2",
"kind": "patch",
"published_at": "2026-05-31T15:16:45Z"
},
{
"tag": "v2.2.1",
"kind": "patch",
"published_at": "2026-05-30T16:27:35Z"
}
],
"recent_commits": [
{
"oid": "1c9ce36c926b23e51520bfa6818a7ea84501c539",
"body": null,
"is_bot": false,
"headline": "3.0.0",
"author_name": "Saleh Mir",
"author_login": "saleh-mir",
"committed_at": "2026-08-01T16:20:58Z",
"body_truncated": false,
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"body_truncated": true,
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{
"oid": "11a92d91e43596713f4f816bee06e443938d8697",
"body": "Adds generic webhook delivery to _custom_channel_notification: non-Slack/Discord\nURLs now POST JSON ({'text': ...}) with a form-encoded fallback instead of raising,\nwith a 15s timeout matching the other senders so a slow endpoint can't stall the\nnotifier loop. Adds a stored 'webhook' driver path and\n[…]\nm colleague's stale webhook-notifcation branch onto current master to\navoid reverting the existing HTTP timeouts and notifier-loop crash guard.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
"is_bot": false,
"headline": "notifier: support generic webhooks (with timeout) + tests",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-15T14:44:21Z",
"body_truncated": true,
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{
"oid": "5c898169ba5e61669d158bcc691410a50ce5ee4a",
"body": "elliottech/lighter-python v1.1.1 (#158, 'allow l2 sig revoke & approve zero\nfees integrator'): the new signer can build a zero-fee integrator approve using\nonly the L2 (API-key) signature. The previous build treated zero max-fees as a\nrevoke ('ApprovalExpiry should be zero when revoking'), so a friction-free\nauto-approve was impossible. Verified live on mainnet (sendTx code 200, no L1).\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Lighter: update vendored signer binaries to upstream v1.1.1",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-15T14:28:38Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "2a63d91af8f0fccd61919d6a1afa5758b5ab31d6",
"body": "Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Bump version to 2.4.0",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-15T13:01:23Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "07e65ba03bd96f57ebf657c56395f10a4a2edb23",
"body": null,
"is_bot": false,
"headline": "2.4.0",
"author_name": "Saleh Mir",
"author_login": "saleh-mir",
"committed_at": "2026-06-15T12:54:16Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "5939e96272dedf10595a4d3c6cce2a38603bd254",
"body": "_load_asset_pairs only normalized XBT->BTC, so Dogecoin was exposed as XDG-USD\ninstead of DOGE-USD — it looked 'missing' as DOGE, and XDG-USD then errored\nbecause the trade/WS API only speaks the standard DOGE name. Add a shared\nKraken<->Jesse base-alias map (XBT<->BTC, XDG<->DOGE) applied inbound and in the\noutbound altname fallback.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
"is_bot": false,
"headline": "kraken candle driver: normalize XDG->DOGE alias",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-14T13:31:24Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "1fd9bcdcdb50133f9656d5045d3cc56dc6abbb63",
"body": "Backtest candle-import driver for KuCoin (enums KUCOIN_SPOT / KUCOIN_USDT_PERPETUAL,\ninfo.py fees+settle, drivers/KuCoin spot+futures fetchers + symbol mapping).",
"is_bot": false,
"headline": "feat: KuCoin Spot + USDT Perpetual candle-import driver",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-12T16:35:04Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "ecf119a64b31542cb69c93f74f0f37dff3bac7eb",
"body": "Update requirements.txt to pin jesse-rust==1.2.0 (was 1.1.0). This change upgrades the dependency to the newer release to pick up improvements or fixes in 1.2.0.",
"is_bot": false,
"headline": "Bump jesse-rust to 1.2.0",
"author_name": "Saleh Mir",
"author_login": "saleh-mir",
"committed_at": "2026-06-12T15:36:54Z",
"body_truncated": false,
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},
{
"oid": "146d345eb1feb792d53c7746fa3b532de958ed25",
"body": "test_fast_mode_equivalence runs the same single-route real-strategy\nbacktest twice (fast_mode=False then True) over deterministic gapless\n1m candles (~5 months, seed 9001) and asserts the trades fingerprint\n(trades_hash, trade counts, net profit, finishing balance, fee) is\nidentical between the two \n[…]\nr\ntoo) that must not be codified here. Verified to pass on master\n@ 0987c304 as well (12.7s) and on this branch (7.6s); suite is now\n501 passed.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Add fast/step simulator equivalence regression test (clean data)",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-12T08:43:53Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "79ac1a491216bea297e95ef4dc31d51664436799",
"body": "…results\n\nTwo slow-but-default pytest tests run full research.backtest() sessions with\nreal strategies adapted from the maintainer's bot project (Alligator multi-TF,\nDonchian-ATR trend, ADX/Williams%R) over seeded synthetic candle windows\n(~1y single-route step-sim; ~6mo x 3 routes fast-sim) and ass\n[…]\n\n\nAlso registers a 'slow' pytest marker (tests/conftest.py) and documents the\npre-existing API-singleton driver-freeze quirk the tests sidestep.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Add real-strategy regression tests pinned to pre-optimization master …",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-12T08:09:09Z",
"body_truncated": true,
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{
"oid": "c0bc92f68be3c3005d7b92d7c5b61adf923e7ae4",
"body": "… preservation)\n\nThe reuse in _simulate_new_candles returned the post-jump-fix candle for\npipeline sessions, while historical behavior built the HTF candle from the\npre-fix rows in candles_arr (the pipeline buffer write-back precedes the\nfix). Gating on (storage_1m is not None or candles_pipeline is\n[…]\n all view-backed paths and the exact old behavior for\npipelines. Fingerprints re-verified (gatecheck: fp cc8ab0d73d50ae16, no\nspeed regression).\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Gate the HTF real_candle reuse to non-pipeline paths (strict behavior…",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-12T07:28:16Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "7d24a375721b0206b0adbe53e8e19d2deb842e01",
"body": "Comments/docs only — zero behavior change (verified: bench docscheck\nfingerprints cc8ab0d73d50ae16 identical to baseline after these edits).\n\n- docs-perf/REPORT.md: executive summary (suite 79.0s -> 27.5s, 2.88x,\n full per-round table), correctness methodology (fingerprint gating incl.\n trades_has\n[…]\n note the *_last call is bit-for-bit\n identical to the full-series kernel's [-1].\n- DynamicNumpyArray.__getitem__: hot-path restructuring note.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Docs: review guide + why-comments for the perf-backtests branch",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-12T07:25:02Z",
"body_truncated": true,
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{
"oid": "15cb00d382ddd115347372eacd7c9a3dd8a2625e",
"body": "In the skip simulator, whenever a route's timeframe count equals the\nsimulation step (always true for single-timeframe sessions), the\nhigher-timeframe candle was rebuilt from the exact same rows that\n_simulate_price_change_effect_multiple_candles had just aggregated into\nreal_candle, through the exa\n[…]\ne\nstorage buffer, so no aliasing is retained.\n\nbench (fast): a 0.33->0.30s, b 5.46->5.41s, c 2.52->2.43s, d 2.11->2.05s;\nfingerprints identical.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Reuse the step's real candle as the HTF candle when counts align",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-11T21:25:32Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "55f0ad774c5521d72671c87382e52d7a546a56ce",
"body": "Position.type read qty/_min_qty through up to two stacked property chains\n(is_long -> _min_qty, is_short -> _min_qty) and is_open allocated a list\nper call; type now reads qty and _min_qty once (identical comparisons) and\nis_open compares against 'close'. Pure restructuring of per-call reads --\nno caching, nothing can go stale, safe for live trading.\n\nbench: ~0-1.5% (within noise on b, small gain on c_multi fast);\nfingerprints identical.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Flatten Position.type/is_open property chains",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-11T21:14:23Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "51be56bc5072c8e60f95884d42c81851664aaa80",
"body": "Mirror of the step simulator's prefill (e86ac0d2) for fast mode, which is\nthe default path for dashboard/MCP users. For pipeline-less pairs the\nper-step loop's only input mutations are the step-boundary jumped-candle\nfixes (which read only the previous close, never written by any fix), so\nthey are a\n[…]\nty) with fallback to the old path.\n\nbench (fast): a 0.38->0.34s, b 5.81->5.62s, c 2.78->2.58s, d 2.63->2.43s\nvs round 2; fingerprints identical.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Prefill 1m candle storage upfront in the skip simulator too",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-11T21:05:47Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "20c6b834309458b0d0dcdd627ed93f618119a14f",
"body": "For arrays of <= 8 elements (the buy/sell/stop-loss/take-profit pairs\ncompared every candle), compare elements directly instead of paying\nufunc dispatch — identical float/NaN semantics.\n\nbench: b_heavy_15m:fast 6.09s -> 5.78s, fingerprint identical.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Scalar-compare tiny order arrays in _np_array_equal",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-11T20:47:15Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "3453688e17ad9ceca9ab8f463de36a854be8ab9d",
"body": "- Strategy._detect_and_handle_entry_and_exit_modifications: replace\n np.array_equal with a semantically-identical helper that skips\n numpy's dispatch overhead for the small ndarray pairs compared on\n every candle (~58K calls per heavy backtest).\n- candle_service.get_candles: same logic, but plain\n[…]\nm:fast 6.31s -> 6.09s, fingerprint identical.\ntests: test_parent_strategy/test_state_candle/test_candle_service/\ntest_simulator_parity all pass.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Cheapen per-candle Python hot paths: array compares and get_candles",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-11T20:44:21Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "e86ac0d2db3b9c1af5c189a5cc9f5151f2d9bb24",
"body": "For pipeline-less pairs, gap-fix the whole 1m series once via\njesse_rust.fix_jumped_candles, bulk-copy it into the storage buffer,\nand replace the per-minute add_candle + DynamicNumpyArray.append with\na single index bump. Guards (dtype/writeable/zero-ts/strictly\nincreasing timestamps/warmup continui\n[…]\nexactly as before.\n\nbench: a_simple_1h:step 2.21s -> 1.25s, b_heavy_15m:step 11.85s ->\n7.56s (1.81x / 1.57x vs round 1), fingerprints identical.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Prefill 1m candle storage upfront in the step simulator",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-11T20:39:44Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "cdd8b8e618b01d7ea59b49b9e3a8aae8fae4f297",
"body": "generate_candle_from_one_minutes and the real_candle construction in\n_simulate_price_change_effect_multiple_candles now call\njesse_rust.candle_from_one_minutes (bit-exact vs the numpy expression,\nverified for all block sizes <= 4320 rows; numpy fallback above).\n\nbench: b_heavy_15m:fast 6.82s -> 6.31s, a_simple_1h:step 2.27s -> 2.21s,\nfingerprints identical.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Build higher-timeframe candles via the jesse_rust kernel",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-11T20:32:16Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "23ec9fe110df0bc7578547dbb42b7d6b2e3d4e12",
"body": "ema/sma/rsi/atr/bollinger_bands now call the new jesse_rust *_last\nfunctions when sequential=False: identical recurrence (bitwise-equal\noutput), but no full-series allocation, no [-1] indexing, and no\nastype(float64) copy in bollinger_bands when the source is already\nf64 (the Rust side accepts strided views).\n\nbench: b_heavy_15m:fast 9.90s -> 6.82s (1.45x vs round 1),\nfingerprint identical. tests/test_indicators.py: 178 passed.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Use jesse_rust scalar *_last indicator kernels for sequential=False",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-11T20:25:46Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "fdbd016691a5a1f4edebcdd380b005fb9f573cd4",
"body": "The previous membership-test version still went through\nMapping.__contains__, which internally raises/catches KeyError on every\ncall when the env var is absent — that lookup alone was ~0.5s per heavy\nbacktest via get_config() -> slice_candles() on every indicator call.\n\nNew logic: if 'pytest' is in \n[…]\n failures, 80 passed).\n\nBench b_heavy_15m fast: 10.29s -> 9.85s (-12.2% vs baseline 11.22s).\nFingerprint 760596ae71bcce7b identical to baseline.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Make is_unit_testing() near-free outside pytest processes",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-11T20:01:38Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "30dcc470d3026df4e3b5fac327893374ddbf92c2",
"body": "- _simulate_price_change_effect: only re-add the real candle to storage\n when at least one order actually executed (i.e. partial candles were\n written that need to be overwritten). When nothing executed, the\n caller (_step_simulator) added this exact candle object immediately\n before, so the sec\n[…]\ne 5.33s),\nb_heavy_15m step 14.65s -> 12.17s (-24.8% vs baseline 16.17s).\nFingerprints cc8ab0d73d50ae16 / 760596ae71bcce7b identical to baseline.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Skip redundant candle re-store and duplicate position lookup per minute",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-11T19:56:34Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "5dfa632078fd4c70c86f28ecc097a313f5aaef43",
"body": "Precompute once before the loop instead of per minute (x ~260K-1M):\n- per-route candle arrays / pipelines / exchange / symbol tuples\n (replaces 3 dict lookups per route per minute)\n- (timeframe, minutes) pairs for higher-timeframe generation (replaces\n config['app']['considering_timeframes'] looku\n[…]\n.05s (-20%; -42.8% vs baseline 5.33s),\nfast 0.74s -> 0.60s (combined with previous commits).\nFingerprint cc8ab0d73d50ae16 identical to baseline.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Hoist loop invariants out of the _step_simulator per-minute loop",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-11T19:52:35Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "8048b4cb6efe4c14b631a0ed1f19a8838ebd9d3e",
"body": "…, keys)\n\n- utils.timeframe_to_one_minutes: use the existing module-level\n TIMEFRAME_TO_ONE_MINUTES constant instead of rebuilding a 17-entry\n dict + running two function-level imports on every call (~145K calls\n per heavy backtest). Error path unchanged (same InvalidTimeframe).\n- helpers.timefra\n[…]\nn: inline jh.key() f-strings.\n\nBench b_heavy_15m fast: 11.22s -> 10.29s (-8.3% vs baseline).\nFingerprint 760596ae71bcce7b identical to baseline.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Cheapen per-indicator-call helpers (timeframe lookup, is_unit_testing…",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-11T19:50:01Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "c9d33d0920ac9ddd539e938b9f0f29be9f00e376",
"body": "- _simulate_price_change_effect: skip the candle copy and the execution\n while-loop entirely when no order falls inside the candle (the common\n case); the closing add_candle + position price update now run once at\n the tail, which is exactly what the old loop's single break path did.\n Removed re\n[…]\n baseline 5.33s),\nb_heavy_15m step 16.17s -> 14.65s (-9.4% vs baseline). Fingerprints\ncc8ab0d73d50ae16 / 760596ae71bcce7b identical to baseline.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Early-exit order simulation paths in the per-minute hot loop",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-11T19:46:25Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "e2860dc4d3c8195d1e7b0f0a42b6bc11351798ee",
"body": "…mpyArray)\n\n- add_candle: read the last candle's timestamp once as a scalar\n (arr.array[index, 0]) instead of up to 3 arr[-1][0] row-view builds per\n call; write last-candle updates directly (arr.array[index] = candle);\n hoist the duplicated jh.is_live() call; early-return on initial append.\n- Ca\n[…]\nse-branch)\npreserved.\n\nBench a_simple_1h: step 5.33s -> 4.27s (-19.9%), fast 0.74s -> 0.72s.\nFingerprint cc8ab0d73d50ae16 identical to baseline.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Cheapen hot candle-storage access (add_candle, get_storage, DynamicNu…",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-11T19:42:29Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "f86521f80293fc0311c99238e435e0fb30657721",
"body": "In research/backtest sessions outside a Jesse project the per-trade\nClosedTrade.update() always raised 'Query must be bound to a database',\ngot caught, and pretty-printed a debugging block to the terminal for\nevery closed trade. Guard on database.is_open() instead — exactly the\ncases that previously\n[…]\nrminal I/O.\n\nBench: a_simple_1h step 5.33s -> 5.33s (neutral here; scales with trade\ncount), fingerprint cc8ab0d73d50ae16 identical to baseline.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Skip closed-trade DB write when no database is available",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-11T19:39:58Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "41d0f80424244aef24b482ef1c8c526a557a0a16",
"body": "Adds KRAKEN_SPOT / KRAKEN_PERPETUAL / KRAKEN_PERPETUAL_TESTNET enums and info.py\nentries, plus REST candle-import drivers used for live warm-up candles:\n- Kraken Spot (api.kraken.com /0/public/OHLC; rolling ~720-candle window so\n backtesting=False; OHLC time is seconds -> ms, candle open-time, olde\n[…]\nutures.kraken.com charts API; time already in ms, deep history).\nBoth translate Jesse BASE-USD symbols to Kraken naming (XBT<->BTC, PF_ perps).\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Add Kraken Pro Spot + Futures: enums, info.py, candle-import drivers",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-08T18:41:10Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "e499b3eae3f24be246ddb306e0d509a0807a2b59",
"body": "Rebuilt jesse/static from the current dashboard-v1 master, which includes the merged\noptimizationStore.ts _ensureResultsShape fix (recovers MCP-created + older optimization\nsessions that previously failed to load). Generated via dashboard-v1 'npm run generate'.\n\nCo-authored-by: Saleh Mir <liveproduction@special.lu>\nCo-authored-by: Claude Opus 4.8 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Rebuild dashboard static (optimization session-loading fix) (#587)",
"author_name": "Saleh Mir",
"author_login": "saleh-mir",
"committed_at": "2026-06-08T17:37:55Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "04f7e8528328fc4862205a54c9e6eb36ac6cffb4",
"body": "Rebuilt jesse/static from the current dashboard-v1 master, which includes the merged\noptimizationStore.ts _ensureResultsShape fix (recovers MCP-created + older optimization\nsessions that previously failed to load). Generated via dashboard-v1 'npm run generate'.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Rebuild dashboard static (optimization session-loading fix)",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-08T17:34:31Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "0987c304d7f276cfc09c942e53d4c39c9395b8ee",
"body": "create_optimization_draft_service persisted an incomplete session results state ({alert}\nonly). The dashboard's loadSession patches that state in and then reads\nresults.progressbar.current / results.exception.error directly, so MCP-created sessions\ncrashed with 'Failed to load session' (dashboard-ru\n[…]\nready-saved broken sessions).\nThe dashboard must be rebuilt into jesse/static at release.\n\nCo-authored-by: Saleh Mir <liveproduction@special.lu>\nCo-authored-by: Claude Opus 4.8 <noreply@anthropic.com>",
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"headline": "Fix MCP optimization sessions failing to load in the dashboard (#586)",
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"body": "jesse/services/env.py validates that a project .env exists at import time and, if\nmissing, called jh.error(). But jh.error() -> is_live() -> jesse.config ->\njesse.modes.utils -> jesse.services.logger -> jesse.services.redis, and\nservices.redis is exactly what imports env.py — so it is still mid-impo\n[…]\n process exits cleanly. Behaviour with a valid .env\nis unchanged; full suite still green.\n\nCo-authored-by: Saleh Mir <liveproduction@special.lu>\nCo-authored-by: Claude Opus 4.8 <noreply@anthropic.com>",
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"headline": "Fix circular-import crash when a project .env is missing (#585)",
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"body": "Introduce _print_import_progressbar to render a compact visual progress bar for CLI/research candle imports (show_progressbar=True). The new helper builds a 32-char bar using filled/empty blocks, clamps the filled width, formats a human-readable ETA (h/m/s), and displays the symbol, exchange, percent, reached date, and ETA. Replace the previous single-line progress print in run() with a call to this helper for clearer import feedback.",
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"body": "Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
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"headline": "Bump version to 2.3.4",
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"oid": "511aa42e823ea6a0b685209f5fde9039b921af89",
"body": "Guests (no license token) get 0 research runs by default; the message states a free account is required (no premium mention). Free 100/day and paid unlimited unchanged. Client-side; fail-open only on a real backend error.",
"is_bot": false,
"headline": "MCP usage limits: guests need an account (0 runs by default) (#584)",
"author_name": "Saleh Mir",
"author_login": "saleh-mir",
"committed_at": "2026-06-06T13:51:04Z",
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"body": "… and Monte Carlo runs\n\nfast_mode now defaults to True in create_backtest_draft (tool + service) and\nthe Monte Carlo run-payload fallback, matching the existing optimization default.\nResource docs updated to reflect the new defaults.\n\nCo-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>",
"is_bot": false,
"headline": "feat(mcp): enable fast_mode by default for all MCP-executed backtests…",
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"body": "MCP usage limits: daily free-plan allowance for research runs (client-side)",
"is_bot": false,
"headline": "Merge pull request #583 from jesse-ai/feat/mcp-usage-limits",
"author_name": "Saleh Mir",
"author_login": "saleh-mir",
"committed_at": "2026-06-05T15:47:10Z",
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"oid": "1f84ce0a4dffbba698ad6fbf5f0437fdcdf1938e",
"body": "Per Saleh: a missing license token now means GUEST (not fail-open) — metered at a\nsmaller daily budget (50) and nudged to log in when over. A logged-in non-paid\nuser is FREE (100/day, nudged to upgrade to premium). Paid plans stay unlimited.\nOnly a real backend error (token present but /v2/user-info\n[…]\nis client-side (local Redis daily counter) and fail-open, per Saleh's call: a\nsoft nudge toward premium, not a hard wall (a determined user can bypass it).\n\nAdds a paid-plans test and updates the doc.",
"is_bot": false,
"headline": "mcp limits",
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"body": "Fix fast/full simulator divergence on synthetic (Monte Carlo) candles",
"is_bot": false,
"headline": "Merge pull request #582 from jesse-ai/fix/backtest-fastmode-parity",
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"body": "The step simulator (fast_mode=False) built higher-timeframe candles and its\ngap-fix reference from the ORIGINAL candles array, because it never wrote the\npipeline's synthetic candle back into it (the skip simulator does). So with a\ncandle pipeline active (Monte Carlo), the strategy's indicators were\n[…]\nPipeline, plus a\nregression test asserting fast and full feed the strategy identical candles\nunder a pipeline (the test fails before this fix).\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
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"headline": "Fix fast/full simulator divergence on synthetic (pipeline) candles",
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"committed_at": "2026-06-04T21:42:24Z",
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"body": "The full step-simulator blows up on synthetic bootstrapped candles for\nrisk-sized strategies: positions get sized off a momentarily tiny ATR, the\nbalance compounds into an overflow, and scenarios die with InsufficientMargin\n/ Infinity (the Infinity also broke the session API's JSON, surfacing as\n\"In\n[…]\noff produce byte-identical results (a\npre-existing step-vs-skip simulator divergence on synthetic candles) is in\nprogress on a separate branch.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
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"headline": "MCP/dashboard Monte Carlo: default fast_mode=True (robust path)",
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"headline": "Merge pull request #581 from jesse-ai/feat/mcp-optimization-mode",
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"body": "Parity with the other modes' resources (jesse://monte_carlo,\njesse://significance_test, jesse://backtest_management): a per-feature guide that\nthe resources loader auto-registers from the .md filename. Documents the\ntrain/test split, the hyperparameters() precondition, objective functions,\nper-hyper\n[…]\nal counts, train-vs-test overfit interpretation, the full\ntool reference, an adaptive check schedule, the standard workflow, and common\nerrors.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
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"headline": "Add jesse://optimization MCP resource doc",
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"body": "…lures\n\nFix silent MCP backtest/RST failures and harden config handling",
"is_bot": false,
"headline": "Merge pull request #580 from jesse-ai/fix/mcp-backtest-rst-silent-fai…",
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"body": "Mirrors the Monte Carlo MCP tools so an agent can stage, run, and poll\nhyperparameter optimizations with the same draft/run/poll workflow it already\nuses for backtests, RST, and Monte Carlo.\n\n- jesse/mcp/tools/services/optimization.py: service layer over the /optimization\n HTTP endpoints. Folds obj\n[…]\nand 10 ranked candidates (train/test Sharpe per candidate); a no-data symbol\nstops fast with a clear \"import candles for both windows\" message.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
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"body": "The two set_config tests mutated Jesse's module-global config, which leaks into\nlater tests in the same process: reset_config() rebinds the config global and\nuses a shallow backup_config, and several mode helpers are lru_cached, so the\nmutations couldn't be cleanly contained without breaking other g\n[…]\nonte Carlo / optimization run.\n\nFull suite now passes (477 passed) under the CI invocation\n(PYTEST_DISABLE_PLUGIN_AUTOLOAD=1 python -m pytest).\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
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"headline": "test_config_safety: drop global-mutating set_config tests to fix CI",
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"body": "Host the Lighter native signer binaries in the jesse package (like Apex's omni_files), so\nthey ship as plain package data in jesse's pure-Python wheel. jesse-live's compiled\ncibuildwheel build runs auditwheel/delocate, which reject these prebuilt binaries (macOS-26\ndylib, too-recent GLIBC in the Go .so); the pure-Python jesse wheel has no such repair step.\nThe jesse-live Lighter signer loads them from this package at runtime.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
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{
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{
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{
"key": "license",
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{
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{
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{
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{
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],
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{
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{
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]
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},
{
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{
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}
],
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"components": [
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],
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{
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],
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{
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},
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"key": "malicious_dependencies",
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"inputs": {
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]
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],
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],
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],
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{
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],
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{
"key": "automated_maintenance",
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],
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{
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"components": [
{
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"status": "missed",
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}
],
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},
{
"key": "manageable_file_sizes",
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"points": 52.4,
"status": "partial",
"details": [
{
"code": "oversized_source_files",
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],
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]
}
],
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],
"classification": {
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"scores": {
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"primary": "library",
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{
"tier": "tags",
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"source": "tag:framework",
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"host_extension": false,
"runs_as_process": false,
"consumed_by_code": true
},
"metrics_version": "2.3.1"
},
"warnings": [
"Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
"deps.dev does not index pypi:jesse@3.0.0; advisories assessed against the repository dependency graph instead"
],
"report_type": "repository",
"generated_at": "2026-08-02T16:00:35.607293Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/j/jesse-ai/jesse.svg",
"full_name": "jesse-ai/jesse",
"license_state": "standard",
"license_spdx": "MIT"
}Bewertungen sind Signale, keine Garantien. Sie spiegeln öffentlich sichtbare Praxis auf GitHub wider — kein Code-Audit und keine Sicherheitsgarantie.
Fehlende Daten werden ausgeschlossen und die Gewichte neu normiert, nie als null bewertet. Die Methodik ist versioniert und offen: Metriken v2.3.1, Schema v0.27.0 — vollständige Methodik · Metriken-Wiki.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken — PyPI.