Wolfinch

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.

Features include :

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)

Using Wolfinch

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.

algorithmic-trading-with-robinhood-using-wolfinch

algorithmic-trading-with-binance-using-wolfinch

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