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A Lightweight Python Package for Low-Latency and Cross-Exchange Trading.

Project description

dcex - dex & cex trading library

Important: No default broker tags are set. You may manually specify a broker tag within function arguments if needed.

Forked from krex, a simplified version of the ccxt Python library.

Originally created and maintained by the same contributor, this fork continues active development, building upon the original foundation with enhanced design, unified DEX + CEX support, and fixes for previously unresolved issues.

A high-performance and lightweight Python library for interacting with cryptocurrency exchanges. dcex offers full synchronous and asynchronous support across major exchanges, designed for speed, modularity, and ease of use.

Python License PyPI

📦 Installation

pip install dcex

or use uv to manage the project:

uv add dcex

🚀 Quick Start

Synchronous Usage

import dcex

client = dcex.binance()

klines = client.get_klines(product_symbol="BTC-USDT-SWAP", interval="1m")
print(klines)

Asynchronous Usage

import os
import asyncio
import dcex.async_support as dcex
from dotenv import load_dotenv

load_dotenv()

BINANCE_API_KEY = os.getenv("BINANCE_API_KEY")
BINANCE_API_SECRET = os.getenv("BINANCE_API_SECRET")

async def main():
    client = await dcex.binance(
        api_key=BINANCE_API_KEY,
        api_secret=BINANCE_API_SECRET
    )

    try:
        result = await client.get_income_history()
        print(result)

    finally:
        await client.close()

if __name__ == "__main__":
    asyncio.run(main())

📚 Supported Exchanges

Exchange Sync Support Async Support
Binance
Bybit
OKX
BitMart
BitMEX
Gate.io
Hyperliquid
BingX Developing Developing
KuCoin Developing Developing

🔍 Key Features

  • 📘 Product Table Manager for unifying trading instruments in different exchanges
  • 🔁 Sync & Async API clients with identical interfaces
  • ⚡ Optimized for low-latency, high-frequency trading

What is Product Table Manager(ptm)?

Ptm is a utility that standardizes and unifies trading instrument metadata across different exchanges, making cross-exchange strategy development easier.

It is a table that contains the following columns:

Column Description
exchange The exchange name
product_symbol The symbol we use to identify the product, it will be the same in different exchanges. For example, BTC-USDT-SWAP is the same product in Binance and Bybit, which named BTCUSDT in Binance and BTC-USDT-SWAP in OKX.
exchange_symbol The symbol that the exchange will actually used
product_type The type we will use, e.g. spot, inverse, swap, futures
exchange_type The type the exchange will actually used, e.g. linear, INVERSE, perp... different exchanges have different types, pretty annoying...
base_symbol The base symbol, e.g. BTC
quote_symbol The quote symbol, e.g. USDT
price_precision The price precision, e.g. 0.000001
size_precision The size precision, e.g. 0.000001
min_size The minimum size, e.g. 0.000001
min_notional The minimum notional, e.g. 0.000001
multiplier The multiplier of the product, such symbol like 1000BONKUSDT in Bybit will need to be multiplied by 1000 to get the actual size, if you are trading across spot and swap, you will need this
size_per_contract The size per contract. Sometimes 1 contract is not the same as 1 unit in exchanges like OKX.

How to use Product Table Manager?

In most cases, we have handled the case, but if you have any specific use cases, you can use the ptm to get the information you want.

from dcex.utils.common import Common
from dcex.product_table.manager import ProductTableManager

ptm = ProductTableManager.get_instance(Common.BINANCE)

product_symbol = ptm.get_product_symbol(
    exchange=Common.BINANCE,
    exchange_symbol="BTCUSDT",
    product_type="swap",
)

print(product_symbol)

🤝 Contributing

We welcome contributions! Please see our Contributing Guide for details.

📄 License

This project is licensed under the MIT License.

🆘 Support

📜 Disclaimer

Cryptocurrency trading involves significant risk. This library is provided as-is without any warranty. Users are responsible for their own trading decisions and risk management.

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