Wolfinch is a trading bot implemented in Python. It supports algorithmic trading for equity market and cryptocurrency exchanges. The modularized implementation is easily extensible to support more exchanges, trading strategies and indicators. A simple UI is available out of the box to view trades and allow basic controls in operation.

• Auto / Manual Trading Modes
• Multiple decision engines
• YAML based rich configuration file support - Tons of nuts and bolts to customize
• Out of the box UI availability
• Pluggable Strategies
• Pluggable Indicators
• Pluggable Exchanges
• Backtesting support
• Paper trading (Simulation) mode
• Genetic optimizer support for tuning strategies
• Machine Learning mode - supports training and using trained models and ML decision engines
• Positional Stop Stop Loss support, multiple smart stop strategies available
  • Fixed Percent
  • Trailing with fixed percent
  • ATR trailing stop (with variable ATR period support)
  • Strategy provided
• Positional Take profit support
  • Fixed percent
  • Strategy provided
• Supports trading multiple exchanges at the same time
• Supports trading multiple trading pairs at the same time
• Supports cross exchange, cross pair trading (Using signals and indicators on one exchange/trading-pair to make trading decision on another exchange/trading-pair)
• Restartability (of live trading, backtesting, genetic optimizer)

Starting the bot is fairly straight forward.

A few examples below covers most startup modes:

• Fresh start: Wolfinch.py --config <config.yml>
• Restart from previous state: Wolfinch.py --config <config.yml> --restart
• Import historic data and exit: Wolfinch.py --config <config.yml> --import_only

A lot of sample config files are available in config/ directory. Those should serve as a very good starting point.

Read More here:

Introduction-to-the-friendly-trading-bot

algorithmic-trading-with-robinhood-using-wolfinch

algorithmic-trading-with-binance-using-wolfinch

Join subreddit - wolfinch

• Coinbase Pro
• Binance
• Binance US
• Robinhood
• gdax [deprecated]

This project is for educational purpose only. Strategies are experimental. Use them at your own risk.

Not based on priority.

1. more indicators
2. more strategies
3. improve Decision/Model
4. more exchanges
5. integrate news source, sentiment analysis input for decision
6. Any feature requests

Read third-party Readme for dependencies

You can donate to appreciate the countless hours spent on the development.

• BTC : 35bYjx9Geo6gLM41nqRnZA5KpciJEfJokD
• ETH : 0x2598eA883719a679deEf821736fa39DF0DD9F86C
• LTC : MRfdbKHUrSxv2zKztdVyodKwSzpQNgofr8

GNU General Public License v3.0 or later

See LICENSE to see the full text.