OpenViSTAI · Agents · Blockchain · Crypto
Submit a project
Menu
Exchanges & Trading

Wolfinch

Wolfinch is a self-hosted Python trading bot for equity-market and cryptocurrency exchanges. It supports automated and manual trading, configurable strategies and indicators, a basic interface for viewing trades and controlling operation, historical-data import, backtesting and paper trading.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Wolfinch — OpenViST project profile in Exchanges & Trading.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Wolfinch when you want to self-host a configurable trading bot and investigate strategies through historical-data import, backtesting or paper trading. Its repository also documents live and manual trading modes, but describes strategies as experimental and provided as-is.

Who it is for

  • People who want to run a configurable trading bot on a local computer or VPS.
  • Developers and traders exploring exchange integrations, strategy or indicator plugins, and cross-pair or cross-exchange signals.
  • Users who want to evaluate configurations with backtesting or paper trading before considering live operation.

Documented uses

  • Configure automated or manual trading using YAML settings, strategies and indicators.
  • Import historical data and run backtests or genetic optimization.
  • Use paper-trading mode to simulate a strategy without placing live trades.
  • Monitor trades and use basic controls through the included interface.
  • Run a bot across multiple supported exchanges or trading pairs.
Before you choose

Requirements & limits

The repository is public and licensed under GNU GPL v3.0 or later.

  • Wolfinch is a Python application intended for local or VPS operation, not a hosted trading service described in the repository.
  • The documented integrations include Coinbase Pro, Binance, Binance US and Robinhood; GDAX is identified as deprecated.
  • Docker setup requires separate configuration and data mounts, and the default UI port is 8080.
  • The project’s disclaimer describes its strategies as experimental and does not present them as financial advice.

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

Start Wolfinch in Docker

Run the bot as a Docker container with its configuration and data directories mounted and the UI port exposed.

Before you start

  • Docker image wolfinch:1.2.0, as named in the repository example
  • A host directory for configuration files and a separate host data directory
  • A configuration file such as config/wolfinch_config.yml
  • Port 8080 available, or the configured custom UI port exposed

Steps

  1. Mount the host configuration directory at /config and the host data directory at /data.

  2. Expose port 8080, or expose the custom UI port if one is configured.

  3. Start the wolfinch:1.2.0 container with --config config/wolfinch_config.yml and any optional parameters.

Expected outcome

A containerized Wolfinch instance with its UI port exposed and configuration and data directories mounted.

Guide limitations

  • The README does not establish compatibility with a particular hosting provider.
  • This setup guidance does not establish trading results or simulation accuracy.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
6 October 2026
Original website title
wolfinch/wolfinch · Official homepage title · retained in its source language
How we review sourcesSuggest a correction