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Entropy Pooling views and stress testing combined with Conditional Value-at-Risk (CVaR) portfolio optimization in Python.
A backtester and spreadsheet library for stocks and ETFs
No description.
Vectorized backtester and trading engine for QuantRocket
Examples using pysystemtrade for my blog qoppac.blogspot.com
Open source math and physics engine that executes MATLAB-syntax code. Features a modern compiler, automatic GPU acceleration for large calculations, and support for math on geometry / FEA calculations.
pandas wrapper for Bloomberg Open API
Prediction-market trading engine — Wang Transform pricing on 291K+ contracts; paper-traded across Kalshi · Polymarket · Solana DFlow (Jito bundles) · 633 tests
Start developing and backtesting your own automated trading strategies
Forex algorithmic trading framework using OANDA REST API.
No description.
Financial market technical analysis & indicators in Julia
Extensible time series class that provides uniform handling of many R time series classes by extending zoo.
:chart: Python framework for real-time financial and backtesting trading strategies
The fastest way from backtest to live trading.
Quant Option Pricing - Exotic/Vanilla: Barrier, Asian, European, American, Parisian, Lookback, Cliquet, Variance Swap, Swing, Forward Starting, Step, Fader
Pipeline Extension for Live Trading
Fully functioning fast Limit Order Book written in Python
Feature Engineering and Feature Importance in Machine Learning for Financial Markets
A sentiment analyzer package for financial assets and securities utilizing GPT models.
A JavaScript library to allocate and optimize financial portfolios.
Repo for code examples in Quantitative Finance with Python (1st edition) by Chris Kelliher
Python Client for Interfacing with the Federal Reserve Bank of St. Louis' Economic Data API (FRED®)
Tutorials about Quantitative Finance in Python and QuantLib: Pricing, xVAs, Hedging, Portfolio Optimisation, Machine Learning and Deep Learning
R package interfacing the Bloomberg API from https://www.bloomberglabs.com/api/
Time-aware tibbles
Get market data from Yahoo Finance websocket in near-real time.
Self-hosted Python strategy research and Alpaca paper trading with broker reconciliation, evidence gates, and live execution disabled.
QuantComponents - Free Java components for Quantitative Finance and Algorithmic Trading