How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
Python-based framework for backtesting trading strategies & analyzing financial markets [GUI :neckbeard:]
The main features of constverum/quantdom are: Trading and Backtesting, Trading Platforms.
Projects with overlapping indexed features include: quantconnect/lean — Lean is an algorithmic trading engine and quantitative finance platform designed for the development, backtesting, and… pmorissette/bt — bt - flexible backtesting for Python. backtrader/backtrader — Backtrader is a Python backtesting framework and algorithmic trading platform. It provides a toolkit for developing… cuemacro/finmarketpy — finmarketpy is a quantitative trading framework and financial market analysis tool. It provides a Python-based library… gbeced/pyalgotrade — pyalgotrade is a Python algorithmic trading library designed for developing, backtesting, and executing automated… quantopian/zipline — Zipline is a Python-based algorithmic trading library designed for the development and backtesting of investment…
pyalgotrade is a Python algorithmic trading library designed for developing, backtesting, and executing automated trading strategies. It provides a comprehensive framework for financial strategy backtesting, a technical analysis library for computing mathematical indicators, and connectors for cryptocurrency exchange integration. The project distinguishes itself by supporting sentiment-based trading through the integration of real-time social media feeds and keyword streams. It features a quantitative trading visualization tool for plotting price action and portfolio equity curves, along with
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
Backtrader is a Python backtesting framework and algorithmic trading platform. It provides a toolkit for developing automated trading rules and simulating investment strategies using historical financial time-series data. The system functions as a quantitative analysis tool, combining a simulation engine for testing trading rules with a financial data visualizer that generates price action charts. It allows for the calculation of technical indicators and the evaluation of portfolio performance through risk-adjusted returns. The platform covers live trading integration via brokerage APIs and
