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CrackTrader

Professional crypto trading framework for traders and quants

Connect to 100+ CCXT exchanges. Backtest with precision. Deploy with confidence.

Overview

CrackTrader lets you build, test, and deploy algorithmic strategies across CCXT-supported exchanges with native Backtrader compatibility. It’s designed for practitioners who care about execution quality, data integrity, and reproducibility.

Key Benefits

  • Fast development: Unified exchange layer via CCXT
  • Solid data: WebSocket streaming and historical caching
  • Reliable: Comprehensive tests and clear failure modes
  • Web-ready: REST API and dashboard integrations
  • Performance: Async pipeline with sub-minute timeframes

Quick Start

1. Install

pip install git+https://github.com/cracktrader/cracktrader.git

2. Your First Strategy (backtest)

import backtrader as bt
from cracktrader import CCXTStore, CCXTDataFeed

class SimpleMovingAverage(bt.Strategy):
    def __init__(self):
        self.sma = bt.indicators.SMA(period=20)

    def next(self):
        if not self.position and self.data.close[0] > self.sma[0]:
            self.buy()
        elif self.position and self.data.close[0] < self.sma[0]:
            self.sell()

# Connect to an exchange (shared CCXT store)
store = CCXTStore(exchange='binance', cache_enabled=True)
data = CCXTDataFeed(store=store, symbol='BTC/USDT', ccxt_timeframe='1h')

cerebro = bt.Cerebro()
cerebro.adddata(data)
cerebro.addstrategy(SimpleMovingAverage)
cerebro.run()

3. Go Live (when ready)

# Switch to live trading
store = CCXTStore(
    exchange='binance',
    sandbox=False,
    config={'apiKey': '...', 'secret': '...'}
)

Use Backtrader’s broker for backtesting. Switch to CCXTLiveBroker for live execution. The store uses a registry so your broker and feeds share the same connection automatically.

Explore the Docs

For Traders & Quants

  • CCXT integration: Reliable connectivity, unified symbols, thorough order support
  • Backtrader native: Run existing strategies with minimal changes
  • Web API: FastAPI server plus dashboard for monitoring and control
  • Performance: Async streaming, caching, and sub‑minute intervals
  • Quality: Unit, integration, and end‑to‑end test coverage

Architecture Overview

graph TB
    A[Trading Strategies] --> B[Cerebro Engine]
    B --> C[Data Feeds]
    B --> D[Brokers]
    C --> E[CCXT Store]
    D --> E
    E --> F[Exchanges]

    G[Web Dashboard] --> H[REST API]
    H --> B

    subgraph "100+ Exchanges"
        F1[Binance]
        F2[Coinbase]
        F3[Kraken]
        F4[Bybit]
    end

    F --> F1
    F --> F2
    F --> F3
    F --> F4

Data flows from exchanges through CCXT to your strategies. The web API provides real-time monitoring and control. See Performance for current characteristics and benchmarks.

Ready to Start?

New to Algorithmic Trading?

→ Quickstart Tutorial - Learn the basics with guided examples

Experienced with Backtrader?

→ Migration Guide - Adapt existing strategies in minutes

Building for Production?

→ Architecture Guide - Understand the system design

Need API Integration?

→ Web API Reference - Complete REST and WebSocket documentation