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.
QoX is a fast and accurate quant library written in Rust, designed to work in production environments. These samples demonstrate its performance and ease of use.
The main features of bboutelje/qox-python-samples are: Financial Instruments and Pricing.
Projects with overlapping indexed features include: lballabio/quantlib — QuantLib is a quantitative finance library and analysis engine built in C++ for executing complex financial… artyyouth/r-quant — R code for quantitative analysis in finance. attack68/rateslib — A fixed income library for pricing bonds and bond futures, and derivatives such as interest rate swaps (IRS),… avhz/rustquant — Rust library for quantitative finance. aviks/ito.jl — A Julia package for quantitative finance. alpha-miner/finance-python — python tools for Finance with the functionality of indicator calculation, business day calculation and so on.
QuantLib is a quantitative finance library and analysis engine built in C++ for executing complex financial calculations and simulations. It serves as a framework for quantitative finance modeling and trading risk management, providing the tools necessary to calculate fair values and risk metrics for diverse financial assets. The project focuses on financial instrument modeling and the evaluation of potential losses and exposure levels to inform portfolio management decisions. It provides a system for modeling financial instruments and managing trading risk through quantitative mathematical m
A fixed income library for pricing bonds and bond futures, and derivatives such as interest rate swaps (IRS), cross-currency swaps (XCS) and FX swaps. Contains tools for full curveset construction with market standard optimisers and automatic differentiation (AD) and risk sensitivity calculations including delta and cross-gamma.
python tools for Finance with the functionality of indicator calculation, business day calculation and so on.
