Question 1

What is TradingGoose?

Accepted Answer

TradingGoose is an open-source visual workflow platform for technical LLM-driven trading. You connect your own market data providers, write custom indicators in PineTS, monitor live prices, and wire signals into AI agent workflows that can place trades, send alerts, rebalance portfolios, or run any action you define.

Question 2

Which AI models does TradingGoose support?

Accepted Answer

TradingGoose supports major AI models including OpenAI (GPT-5, GPT-4o), Anthropic Claude, Google Gemini, xAI Grok, Mistral, and Perplexity. You can also connect open-source models via Ollama for local inference.

Question 3

Is TradingGoose open source?

Accepted Answer

Yes. TradingGoose Studio is open source and available on GitHub at github.com/TradingGoose/TradingGoose-Studio. You can self-host it, inspect the code, and contribute.

Question 4

Can I write custom trading indicators in TradingGoose?

Accepted Answer

Yes. TradingGoose ships with built-in indicators (RSI, Bollinger Bands, Supertrend and more) plus a PineTS editor for writing your own. You can connect any streaming data provider with your own credentials and monitor prices at any interval.

Question 5

Does TradingGoose provide financial advice?

Accepted Answer

No. TradingGoose is a workflow platform, not a financial advisor. It provides the building blocks to create your own trading automations. You define the strategies, the signals, and the actions. Use it at your own risk.

Question 6

How much does TradingGoose cost?

Accepted Answer

Pay As You Go is $0/mo. This's the default tier. Self-hosting the open-source Studio edition is free under the project license.

Question 7

Can I self-host TradingGoose?

Accepted Answer

Yes. TradingGoose Studio is fully self-hostable. Clone the repository at github.com/TradingGoose/TradingGoose-Studio, provide your own database and AI provider credentials, and run it on your own infrastructure. Docker images and deployment guides are in the documentation at docs.tradinggoose.ai.

Question 8

Can TradingGoose backtest trading strategies?

Accepted Answer

Yes. TradingGoose supports backtesting against historical candle data. You can run any indicator or workflow against past market conditions to validate signal quality before deploying to live monitors.

Question 9

What is PineTS and how does it differ from Pine Script?

Accepted Answer

PineTS is TradingGoose’s TypeScript-based indicator language. It borrows the familiar concepts from TradingView Pine Script (series, ta.* functions, built-in indicators) but executes in a standard TypeScript runtime, giving you full typing, testing, and tooling. PineTS is purpose-built for TradingGoose’s streaming monitors and is not directly compatible with TradingView Pine Script source.

Question 10

Does TradingGoose execute trades automatically?

Accepted Answer

Only if you wire it up to do so. TradingGoose does not execute trades on its own and is not a broker. You bring your own broker or exchange credentials and define the actions a workflow takes when a signal fires. The platform ships with safe-by-default behavior — workflows only take actions you explicitly configure.

Listing	Indicator	Workflow	Status
AA AAPL/USDApple Inc.	RSI < 30	Sentiment Analysis	Success
AM AMZN/USDAmazon.com, Inc.	MACD Cross	Portfolio Rebalance	Running
AB ABNB/USDAirbnb, Inc.	EMA 21/50	Social Media Scan	Success
AV AVGO/USDBroadcom Inc.	Supertrend	Sector Correlation	Running
AA AAL/USDAmerican Airlines Group Inc.	BB Squeeze	Risk Assessment	Success
AA AAON/USDAAON, Inc.	Volume Spike	Earnings Report Check	Pending

Build your Trading Analysis with TradingGoose

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Monitor with indicators

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Indicators and live data

AI-powered workflows

LLM with more than just prompts.

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Indicators that trigger workflows