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Tradecat Public

Tradecat Public is a Python-based paper-trading runtime for agents such as Hermes. It reads public spreadsheet signals, supports market-context enrichment with bundled Binance public-read-only snapshots and tools, and handles schema checks, signal alignment, paper/watch execution, risk refusals, ledgers and audit reports. It does not include a live-order executor.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Tradecat Public — OpenViST project profile in Trading & Crypto Agents.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it to evaluate agent trade ideas against public market data in a paper-only workflow, especially when structured records and explicit risk refusals matter.

Who it is for

  • Developers integrating agent-generated crypto trade theses into a simulated workflow.
  • Agent operators who need structured risk checks and reproducible paper-trading records.

Documented uses

  • Read the public spreadsheet's signal_flow and anomaly_panel datasets.
  • Enrich a signal with public Binance market context before evaluating its thesis.
  • Validate structured inputs and run paper/watch cycles with risk gates.
  • Review paper ledgers, cycle archives, audit journals and operational reports.
Before you choose

Requirements & limits

The repository requires Python 3.12 or later and pip. Its README says the local CLI use channel is currently unavailable and directs users to a web spreadsheet. Local paper loops and the web monitor must be started explicitly.

  • Signals come from a public online spreadsheet; market context can be supplemented using bundled Binance public-read-only snapshots and tools.
  • Sizing and exit parameters must be explicit in the agent thesis or a paper-only runtime profile; missing required values trigger fail-closed behavior.
  • The documented scope excludes Binance credentials, signed/private endpoints and real orders.
  • The repository is MIT-licensed and includes an embedded TradeCat skill package for Agent/Hermes.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Install TradeCat Public development dependencies

Set up the Python development environment for TradeCat Public.

Before you start

  • Python 3.12 or newer
  • pip

Steps

  1. Clone the public repository: https://github.com/tradecatlabs/tradecat-public

  2. From the repository directory, install the development dependencies with the command below.

    Documented command
    python3 -m pip install -c constraints.txt -e ".[dev]

Expected outcome

The project’s development dependencies are installed in editable mode.

Guide limitations

  • The README says the local CLI usage channel is currently unavailable and directs users to the web spreadsheet.
  • This setup recipe does not establish that the trading workflow has been run.
  • TradeCat is limited to public read-only market data and local paper/watch activity; it does not place real trades.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
9 October 2026
Original website title
tradecatlabs/tradecat-public · Official homepage title · retained in its source language
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