# vnpy_evo **Repository Path**: quant_s/vnpy_evo ## Basic Information - **Project Name**: vnpy_evo - **Description**: No description available - **Primary Language**: Unknown - **License**: MIT - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2026-04-19 - **Last Updated**: 2026-04-20 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # By Traders, For Traders.

VeighNa Evo (vnpy_evo) is the core module for using [VeighNa (vnpy)](https://github.com/vnpy/vnpy) quant trading platform on the crypto market. ## Social - [![Twitter](https://img.shields.io/twitter/follow/veighna.svg?style=social&label=VeighNa%20Global)](https://x.com/veighna_global) Follow us on Twitter - [![Telegram Announcements](https://img.shields.io/badge/VeighNa%20Global-Channel-blue?logo=telegram)](https://t.me/veighna_channel) Follow our important announcements - [![Telegram Chat](https://img.shields.io/badge/VeighNa%20Global-Chat-blue?logo=telegram)](https://t.me/+8KGF_z35nK03YWE1) If you need technical support ## Features 1. Full-featured quantitative trading platform (vnpy_evo.trader) 2. Gateways which connect to exchanges for receiving market data and sending trading orders: * Crypto Market * Binance ([binance](https://www.github.com/veighna-global/vnpy_binance)): Spot/Perpetual/Futures/Option * OKX ([okx](https://www.github.com/veighna-global/vnpy_okx)): Spot/Perpetual/Futures/Option * Bybit ([bybit](https://www.github.com/veighna-global/vnpy_bybit)): Spot/Perpetual/Futures/Option * BTSE ([btse](https://www.github.com/veighna-global/vnpy_btse)): Spot/Perpetual/Futures * Forex Market * MT5 ([mt5](https://www.github.com/veighna-global/vnpy_mt5)): Forex/Gold/Commodity/Crypto 3. Applications for various quantitative strategies: * Nova Strategy ([nova_strategy](https://www.github.com/veighna-global/vnpy_novastrategy)): The quant strategy app module which is designed specifically for crypto markets, supports trend following, pair trading, multi-factor and many other types of quant strategies. 4. Event processing engine (vnpy_evo.event), which is the core of event-driven trading program 5. Database adaptors which support most commonly used databases: * DuckDB ([duckdb](https://www.github.com/veighna-global/vnpy_duckdb)): The high-performance in-process analytical database which is designed to be fast, reliable, portable, and easy to use. 6. Standarad RPC solution (vnpy_evo.rpc) for implementing complex trading systems with distributed deployments 7. High-performance charting widget (vnpy_evo.chart), which supports stream market data update ## Install **MacOS** Please ensure you have installed [XCode](https://developer.apple.com/xcode/) and [Homebrew](https://brew.sh/) before running the following command: ``` /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/veighna-global/vnpy_evo/HEAD/install_macos.sh)" ``` **Ubuntu** ``` sudo /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/veighna-global/vnpy_evo/HEAD/install_linux.sh)" ``` ## Example You can start running VeighNa Evo with only a few lines of code. ```Python from vnpy_evo.event import EventEngine from vnpy_evo.trader.engine import MainEngine from vnpy_evo.trader.ui import MainWindow, create_qapp from vnpy_binance import BinanceLinearGateway from vnpy_novastrategy import NovaStrategyApp def main(): qapp = create_qapp() event_engine = EventEngine() main_engine = MainEngine(event_engine) main_engine.add_gateway(BinanceUsdtGateway) main_engine.add_app(CtaStrategyApp) main_engine.add_app(NovaStrategyApp) main_window = MainWindow(main_engine, event_engine) main_window.showMaximized() qapp.exec() if __name__ == "__main__": main() ``` Open a terminal within the directory and run the following command to start VeighNa Trader. python run.py ## Licence MIT