Collection of notebooks about quantitative finance, with interactive python code.
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Updated
Feb 26, 2024 - Jupyter Notebook
Collection of notebooks about quantitative finance, with interactive python code.
A nimble options backtesting library for Python
C++ 17 based library (with sample applications) for testing equities, futures, etfs & options based automated trading ideas using DTN IQFeed real time data feed and Interactive Brokers (IB TWS API) for trade execution. Some support for Alpaca & Phemex. Notifications via Telegram [irc: Libra #tradeframe ]
Rust library for quantitative finance.
Courses, Articles and many more which can help beginners or professionals.
Quantitative Finance tools
Python Financial ENGineering (PyFENG package in PyPI.org)
Quant Option Pricing - Exotic/Vanilla: Barrier, Asian, European, American, Parisian, Lookback, Cliquet, Variance Swap, Swing, Forward Starting, Step, Fader
A model free Monte Carlo approach to price and hedge American options equiped with Heston model, OHMC, and LSM
A Python library for mathematical finance
Vanilla option pricing and visualisation using Black-Scholes model in pure Python
A Python implementation of the rough Bergomi model.
A python program to implement the discrete binomial option pricing model
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.
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…
Implement pricing analytics and Monte Carlo simulations for stochastic volatility models including log-normal SV model, Heston
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.
A library for black-scholes euro options pricing, algorithmic delta hedging, and visualization
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