{"repo":"TradingGoose/TradingGoose-Studio","free":true,"listed":false,"github":"https://github.com/TradingGoose/TradingGoose-Studio","clone":"git clone https://github.com/TradingGoose/TradingGoose-Studio.git","description":"Build your own AI investment system","language":"TypeScript","stars":131,"topics":["agentic-workflow","pinescript","technical-analysis","trading","workflow","portfolio-management","stock-analysis","quant","stock-prices","ai-trade"],"license":"AGPL-3.0","category":"trading","readme_excerpt":"TradingGoose Studio AI Workflow Platform for Tecnical LLM Trading --- What is TradingGoose Studio? TradingGoose Studio is an AI workflow platform for technical LLM trading , it combines both technical + LLM analysis for your trading decision. It is built for analytics, research, charting, monitoring, and workflow automation. Early Stage Notice TradingGoose Studio is still in a very early development stage. You should expect rough edges, incomplete features, and a meaningful number of bugs. Breaking changes are normal at this stage and may happen very frequently, including on a near-weekly basis. If you are building on top of the project, expect to update your setup, workflows, and integrations often. --- Copilot-MCP You can install TradingGoose MCP to use any local agentic tool like Codex, Claude Code, Cursor, ZCode as Copilot to perform TradingGoose-Studio operations Mac/Linux: connect to the hosted instance: connect to self-hosted instance: Windows connect to the hosted instance: connect to self-hosted instance: Quick Start Requirements - Bun v1.3+ - Docker (for PostgreSQL) - Colima or Docker Desktop (macOS) Setup Steps 1. Install dependencies 2. Start PostgreSQL database and Redis 3. Setup environment variables Edit .env files (see configuration below) 4. Run database migrations 5. Start full development servers Docker Compose If you use Docker Compose, copy apps/tradinggoose/.env.example.docker to apps/tradinggoose/.env and set the required secrets before running the comp","default_branch":null,"files":null,"tree":[],"storefront":"/r/TradingGoose","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/TradingGoose/TradingGoose-Studio/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}