Crypto Trader Py

A lightweight Python toolkit for building, backtesting, and paper-trading cryptocurrency strategies.

Features

• Unified market data from Binance, Coinbase, and Kraken (REST + WebSocket)
• Simple strategy API: subclass Strategy and implement on_tick
• Vectorized backtester with configurable fees, slippage, and funding rates
• Paper-trading engine that runs strategies against live price feeds
• Built-in indicators: SMA, EMA, RSI, MACD, Bollinger Bands, ATR
• Risk management helpers: position sizing, stop-loss, take-profit
• CSV/JSON trade logs and matplotlib equity curves

Installation

Install from PyPI:

pip install crypto-trader-py

Or from source:

git clone https://github.com/example/crypto-trader-py
cd crypto-trader-py
pip install -e .

Quick Start

from crypto_trader import Backtest, SMA, Strategy

class SmaCross(Strategy):
    def on_tick(self, candle):
        fast = SMA(candle.close, 10)
        slow = SMA(candle.close, 50)
        if fast > slow:
            self.buy(size=0.1)
        elif fast < slow:
            self.close()

bt = Backtest(strategy=SmaCross, exchange='binance', pair='BTC/USDT')
bt.run(start='2023-01-01', end='2023-12-31')
print(bt.stats())
bt.plot_equity('equity.png')

Paper Trading

Run a strategy against live prices without risking real funds:

from crypto_trader.paper import PaperEngine

engine = PaperEngine(strategy=SmaCross, exchange='binance', pair='BTC/USDT')
engine.start()

Disclaimer

This project is educational software and is not financial advice. Trading cryptocurrencies carries a high risk of loss.

License

MIT