5 个仓库
Awesome GitHub RepositoriesTrading Strategy Development Environments
Python-native environments for writing, testing, and running algorithmic trading strategies with a unified API and CLI interface.
Distinct from Python Scripting Environments: Distinct from Python Scripting Environments: focuses on financial strategy development with trading-specific APIs, not general-purpose Python scripting.
Explore 5 awesome GitHub repositories matching development tools & productivity · Trading Strategy Development Environments. Refine with filters or upvote what's useful.
Awesome Trading Strategy Development Environments GitHub Repositories
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- ricequant/rqalpha
ricequant/rqalpha
6,166在 GitHub 上查看RQAlpha is a Python-native quantitative trading backtesting framework and live trading execution system. It provides an event-driven engine for simulating trading strategies against historical market data, with realistic transaction costs, slippage models, and corporate action handling. The platform supports multi-asset class trading including stocks, futures, options, and REITs, with separate sub-accounts for different asset types and configurable margin requirements. The framework distinguishes itself through a plugin-based extensible architecture that allows users to swap out core componen
A Python-native environment for writing, testing, and running algorithmic trading strategies with a unified API and CLI interface.
Pythonbacktestfinancefutures - voila-dashboards/voila
voila-dashboards/voila
5,935在 GitHub 上查看Voilà is a tool that converts Jupyter notebooks into standalone interactive web applications. It renders notebook cells as HTML web components, preserving live widgets while stripping source code by default, and gives each viewer a dedicated Jupyter kernel for isolated widget state and callback execution. The project runs as a Jupyter server extension, reusing existing server infrastructure for notebook serving and authentication. It supports directory-based notebook hosting, serving all notebooks in a folder as a browsable collection of web applications from a single command. Voilà also prov
Runs as a Jupyter server extension to serve notebook-based dashboards alongside the standard Jupyter interface.
Python - wondertrader/wondertrader
wondertrader/wondertrader
5,865在 GitHub 上查看Building and backtesting CTA, SEL, HFT, and UFT strategies in Python with a C++ execution engine for performance.
C++algotradingcppcta - shinnytech/tqsdk-python
shinnytech/tqsdk-python
4,789在 GitHub 上查看tqsdk-python is a quantitative trading SDK and framework designed for developing automated strategies for futures, options, and stocks using Python. It functions as an algorithmic trading engine and financial market data API, providing the tools necessary to backtest strategies, analyze historical data, and execute live trades across multiple brokerage accounts. The project distinguishes itself through a specialized option analytics library that calculates Greeks, implied volatility, and volatility surfaces using the Black-Scholes model. It further supports complex order execution patterns, s
Provides a Python-native environment for writing, testing, and running algorithmic trading strategies.
Python - nickmccullum/algorithmic-trading-python
nickmccullum/algorithmic-trading-python
2,766在 GitHub 上查看Interactive Python notebook environment for developing, testing, and executing algorithmic trading strategies.
Jupyter Notebook
