Introduction
TradingGoose Studio is an AI workflow platform for technical LLM trading. It combines technical analysis with large language models to power your trading decisions — from analytics and research to charting, monitoring, and workflow automation.
Build workflows visually on a canvas by connecting blocks — AI agents, trading actions, technical indicators, API integrations, and more. No coding required for most workflows, with full PineTS scripting support for custom indicators and strategies.
What You Can Build
Trading Automation Connect to brokers (Alpaca and Tradier), execute orders, monitor holdings, and automate trading strategies driven by AI analysis and technical indicators.
Technical Analysis & Charting Write custom indicators in PineTS, visualize OHLCV data with interactive candlestick charts, manage watchlists with live market data, and trigger workflows when indicator conditions are met.
AI-Powered Research Build research agents that analyze market data, scan news, process financial documents, and generate reports using models from OpenAI, Anthropic, Google, and more.
Data Processing & Integration Connect databases, communication tools, CRMs, and APIs. Orchestrate complex data pipelines with conditions, loops, parallel execution, and error handling.
Platform Overview
Visual Workflow Canvas Drag and drop blocks to build workflows. Connect AI models, trading services, databases, and APIs with point-and-click connections.
Trading Infrastructure Use Alpaca or Tradier for configured trading actions, and fetch market data from Alpaca, Alpha Vantage, Finnhub, or Yahoo Finance.
PineTS Scripting
Write custom indicators in PineTS — a JavaScript/TypeScript runtime compatible with Pine Script. Connect indicator signals to workflow automation via the trigger() API.
Extensibility Extend the platform with MCP servers, custom tools, reusable skills, and knowledge bases. The AI Copilot helps you build and manage everything across the workspace.
Multiple Triggers Start workflows via chat interface, REST API, webhooks, scheduled jobs, indicator signals, or external events from services like Slack and GitHub.
Built-in Integrations
TradingGoose includes a broad catalog of integrations:
- Trading & Markets: Alpaca, Tradier, Kalshi, Polymarket
- Market Data: Alpaca, Alpha Vantage, Finnhub, Yahoo Finance
- AI Models: OpenAI, Anthropic, Google, Groq, Cerebras, DeepSeek, Ollama (local)
- Communication: Gmail, Slack, Teams, Telegram, WhatsApp, Discord
- Productivity: Notion, Google Sheets, Airtable, Jira, Linear
- Development: GitHub, GitLab, browser automation (Stagehand)
- Search & Web: Google Search, Perplexity, Tavily, Exa, Firecrawl
- Databases: PostgreSQL, MySQL, MongoDB, Supabase, Pinecone, Qdrant
Need something custom? Use MCP integration to connect any external service, or build Custom Tools.
Deployment Options
Cloud-hosted: Use the managed TradingGoose service when hosted registration is available.
Self-hosted: Run the repository locally or deploy it on your own infrastructure. You can connect local AI models through Ollama.