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finmarketpy is a quantitative trading framework and financial market analysis tool. It provides a Python-based library for simulating trading strategies against historical market data, computing the value of options contracts, and extracting trends from financial datasets. The system includes specialized engines for financial options pricing using numerical calculations and a backtesting library to assess risk and performance before live deployment. It further enables the detection of market seasonality and the execution of event studies to measure asset price behavior around specific time wi
Source code for Algorithmic Trading with Python (2020) by Chris Conlan
Open-source Rust framework for building event-driven live-trading & backtesting systems
Hikyuu is a quantitative trading framework designed for developing, backtesting, and executing systematic trading strategies. It functions as a high-speed system that combines a financial time-series library, a multi-factor analysis tool, and a quantitative backtesting engine to support comprehensive trading research. The framework is distinguished by its high-speed computing core, which utilizes multi-threaded execution to process large volumes of market data for technical indicator generation. It supports a modular strategy composition model where signal, risk, and fund management component
Systematic Trading in python
The main features of robcarver17/pysystemtrade are: Trading and Backtesting, Trading Frameworks, Educational Resources, Research and Education.
Projects with overlapping indexed features include: letianzj/quantresearch — QuantResearch is a quantitative research framework and specialized toolkit for algorithmic simulation, financial… fasiondog/hikyuu — Hikyuu is a quantitative trading framework designed for developing, backtesting, and executing systematic trading… barter-rs/barter-rs — Open-source Rust framework for building event-driven live-trading & backtesting systems. chrisconlan/algorithmic-trading-with-python — Source code for Algorithmic Trading with Python (2020) by Chris Conlan. cuemacro/finmarketpy — finmarketpy is a quantitative trading framework and financial market analysis tool. It provides a Python-based library… lumiwealth/lumibot — Backtestable AI trading agents and Python algorithmic trading strategies for stocks, options, crypto, futures, forex,…