The QuantLib C++ library
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- C++
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- Latest push
- 2026-11-04
The business of foreign exchange
Option, bond and derivatives pricing libraries and quantitative analytics.
1,763 repositories · facts retrieved 2026-11-05
The QuantLib C++ library
Real time stock and option data.
A library for financial options pricing written in Python.
Cython QuantLib wrappers
Open source analytics and market risk library from OpenGamma
A Python library for mathematical finance
Option pricing and derivatives analytics in Python: Black-Scholes, binomial, Monte Carlo, greeks, strategies
The fastest automatic differentiation library for C++, with Python bindings. Forward, adjoint and higher-order derivatives, checkpointing, Eigen support and JIT. Reproducible benchmarks against…
QLNet C# Library
QuantLib wrappers to other languages
OIPD computes the probabilities of an asset's future price as implied by the options market.
Simple python/streamlit web app for European option pricing using Black-Scholes model, Monte Carlo simulation and Binomial model. Spot prices for the underlying are fetched from Yahoo Finance API.
Option pricing based on Black-Scholes processes, Monte-Carlo simulations with Geometric Brownian Motion, historical volatility, implied volatility, Greeks hedging
OptionStratLib is a comprehensive Rust library for options trading and strategy development across multiple asset classes.
Financial Derivatives Calculator with 171+ Models (Options Calculator)
Self-hosted, open-source financial data MCP server for AI agents — SEC filings, XBRL financials, 13F holdings, insider & congressional trades, short interest, FRED, CFTC/CBOE and daily prices across…
Fourier-transform pricing, Monte Carlo validation, and calibration of European options under stochastic-volatility models in Python
The Greatest Collection of anything related to finance and crypto
Quant Option Pricing - Exotic/Vanilla: Barrier, Asian, European, American, Parisian, Lookback, Cliquet, Variance Swap, Swing, Forward Starting, Step, Fader
High-performance quantitative finance in Rust and Python — 130+ stochastic processes, option pricing, calibration, fixed income, risk & copulas, with SIMD/GPU acceleration.
PyTorch for Quantitative Finance: Refine Derivatives Hedging and Pricing with Architecture Alightment in Operators
A vectorized implementation of py_vollib, that supports numpy arrays and pandas Series and DataFrames.
Vanilla and exotic option pricing library to support quantitative R&D. Focus on pricing interesting/useful models and contracts (including and beyond Black-Scholes), as well as calibration of…
Fixed Income Analytics, Portfolio Construction Analytics, Transaction Cost Analytics, Counter Party Analytics, Asset Backed Analytics
R interface to the QuantLib library
Vanilla option pricing and visualisation using Black-Scholes model in pure Python
Options and Option Strategies analytics for educational purpose using the Black-Scholes Model
European/American/Asian option pricing module. BSM/Monte Carlo/Binomial
Option pricing with various models (Black-Scholes, Heston, Merton jump diffusion, etc) and methods (Monte Carlo, finite difference, Fourier).
Writing financial contracts in Julia
A software to shortlist and find the best options spread available for a given stock and help it visualise using payoff graphs.
IEX Cloud API for C# and other.net languages. Supports SSE streaming
Black-Scholes Pricing Model: An intuitive and sophisticated tool for accurately calculating European option prices. Leverage the mathematical elegance of the Black-Scholes formula to explore how…
A python program to implement the discrete binomial option pricing model
AlphaGBM:AI 驱动的智能期权分析与高频交易量化软件。提供实时希腊字母计算与 IV 曲面拟合。
A SIMD based black scholes pricer using the crate
:calendar: A highly optimized Business Days calculator written in Julia language. Also known as Working Days calculator.
Fixed income tools for R
Quantitative finance and derivative pricing
Trade stocks and ETFs with free brokerage Robinhood and Perl
Educational derivative pricing and risk models in Python: finite differences, binomial/trinomial trees, credit models and stochastic processes.
Market Data & Derivatives Pricing Tutorial based on Jupyter notebooks
Streamlit IV surface visualizer (Yahoo Finance + Black–Scholes). Explore IV vs expiry and strike/log-moneyness.
Library to collect NSE data in pandas dataframe
REST API for QuantLib. This project aims to simplify the development of microservices for risk management and pricing of various financial instruments in the distributed environment using QuantLib
A tool to analyze leveraged liquidity mining and find optimal option strategy for hedging.
A simple real-time Open Interest & Strategy Profit and Loss Visualizer for Indian Benchmark Indices and F&O Stocks inspired by Sensibull. The app is built with React, Material UI, D3 and Node.
Analytics labs notebooks for Statistics and Business School students
Deep Learning methods to solve path-dependent PDEs / to price path-dependent derivatives like exotic options
Scientific Machine Learning for Option Pricing