tradecatlabs/tradecat-public
An autonomous paper-trading system designed for AI agents to execute paper trades based on spreadsheet signal sources and Binance market data.
Not currently ranked — collecting fresh signals.
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TradeCat Public is a local paper-trading runtime for AI agents (Agent/Hermes). Agents read signal flows from public online spreadsheets and use bundled Binance public-readonly API snapshots to construct market context and trading theses. The system enforces schema validation, fail-closed risk management, paper execution via Binance keyless endpoints, and generates audit journals, ledgers, and health reports in an isolated runtime directory.
Frequently asked
- What is tradecatlabs/tradecat-public?
- An autonomous paper-trading system designed for AI agents to execute paper trades based on spreadsheet signal sources and Binance market data.
- Is tradecat-public open source?
- Yes — tradecatlabs/tradecat-public is open source, released under the MIT license.
- What language is tradecat-public written in?
- tradecatlabs/tradecat-public is primarily written in Python.
- How popular is tradecat-public?
- tradecatlabs/tradecat-public has 957 stars on GitHub.
- Where can I find tradecat-public?
- tradecatlabs/tradecat-public is on GitHub at https://github.com/tradecatlabs/tradecat-public.