option-pricing

Collection of notebooks about quantitative finance, with interactive python code.

Rust library for quantitative finance.

A nimble options backtesting library for Python

Courses, Articles and many more which can help beginners or professionals.

C++ 17 based library (with sample applications) for testing equities, futures, currencies, etfs & options based automated trading ideas using DTN IQFeed real time data feed and Interactive Brokers (IB TWS API) for trade execution. libtorch/lstm/cuda demo. Support for Alpaca & Phemex. Notifications via Telegram.

Quantitative Finance tools

A Python library for mathematical finance

Option pricing based on Black-Scholes processes, Monte-Carlo simulations with Geometric Brownian Motion, historical volatility, implied volatility, Greeks hedging

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.

Quant Option Pricing - Exotic/Vanilla: Barrier, Asian, European, American, Parisian, Lookback, Cliquet, Variance Swap, Swing, Forward Starting, Step, Fader

Python implementation of pricing analytics and Monte Carlo simulations for stochastic volatility models including log-normal SV model, Heston

Python Financial ENGineering (PyFENG package in PyPI.org)

Vanilla option pricing and visualisation using Black-Scholes model in pure Python

A Python implementation of the rough Bergomi model.

A model free Monte Carlo approach to price and hedge American options equiped with Heston model, OHMC, and LSM

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 financial models to market data.

European/American/Asian option pricing module. BSM/Monte Carlo/Binomial

The Python Library For QtsApp which displays the option chain in near real-time. This program retrieves this data from the QtsApp site and then generates useful analysis of the Option Chain for the specified Index or Stock. It also continuously refreshes the Option Chain along with Implied Volatatlity (IV), Open Interest (OI), Delta, Theta, Vega, Gamma, Vanna, Charm, Speed, Zomma, Color, Volga, Veta at an interval of a second and visually displays the trend in various indicators useful for Technical Analysis.

OptionStratLib is a comprehensive Rust library for options trading and strategy development across multiple asset classes.

A python program to implement the discrete binomial option pricing model