octobot
Main OctoBot application orchestrating trading, evaluation, backtesting, and services
浏览 Herklos 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。
已收录技能
12收录技能的仓库 Stars 合计
0仓库 Forks
0平均每个技能的仓库 Stars
0同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。
Main OctoBot application orchestrating trading, evaluation, backtesting, and services
Asynchronous pub/sub messaging system for OctoBot. Enables decoupled component communication via producer/consumer pattern. Use when implementing inter-component messaging or event-driven architectures.
Historical data simulation engine for OctoBot. Handles data collection, exchange simulation, and strategy validation. Use when implementing backtesting features, adding data sources, or testing trading strategi...
Strategy evaluation and signal generation framework for OctoBot. Handles technical indicators, matrix evaluations, and trading signals. Use when creating evaluators, implementing indicators, or building signal...
Python testing best practices with pytest. Covers unit, integration, async tests, mocking, fixtures. Triggers: "write tests", "add tests", "test coverage", "pytest", "unit test", "integration test"
Trading Backend API for OctoBot web/mobile interfaces
Complete development guide for OctoBot Stack multi-repository ecosystem. Covers architecture layers, dependency management, tentacle system, exchange integrations, and testing patterns.
Plugin repository for OctoBot exchanges, evaluators, trading modes, and services
Tentacle (plugin) installation, management, and version control for OctoBot. Handles tentacle packages, dependencies, and updates. Use when managing tentacles, creating packages, or updating plugins.
Core trading engine for OctoBot. Handles exchange connections, order execution, portfolio management, and trading modes. Use when modifying trading logic, adding exchanges, or working with orders and positions.
Editing CCXT TypeScript exchange sources with transpilation-safe patterns for Python/Go/PHP/C#
External service integrations for OctoBot (webhooks, notifications, cloud sync)
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。