There are 11 repositories under options-pricing topic.
Open Source Options Analytics Platform.
Financial Derivatives Calculator with 168+ Models (Options Calculator)
Option Calculator using Black-Scholes model and Binomial model
A software to shortlist and find the best options spread available for a given stock and help it visualise using payoff graphs.
Writing financial contracts in Julia
Real-time & historical data API for US stocks and options
MIT Trading Competition algorithmic trading of options and securities
3D Volatility surface visualization in the browser
Currency Binary Option Pricing with 3 methods and implied smile
KAIST(Korea Advanced Institute of Science and Technology) Financial Engineering( Derivatives) Course Code+@
A Python Script To Fetch The Government Securities T-Bills Interest Rates From RBI Website.
Options P/L in React
PutPremiumProcessor is a Python option screener with a custom formula to score options based on their risk to reward. I created this to find puts that pay good premium for the risk.
Python code for pricing European and American options with examples for individual stock, index, and FX options denominated in USD and Euro. Jupyter notebooks for pricing options using free publicly available datasets.
Calculate Black Scholes Implied Volatility - Vectorwise
EcoFin is a quantitative economic library
Interactive visualization of the CRR binomial options pricing model
Visualization of vanilla options and exotics. BS Model for a vanilla option is used to describe the pay-off option.
RustyQlib: A quant library for derivative pricing and quantitative finance
Black Scholes PDE to calculate Option price and Greek Letter
A UI-friendly program calculating Black-Scholes options pricing with advanced algorithms incorporating option Greeks, IV, Heston model, etc. Reads input from users, files, databases, and real-time, external market feeds (e.g. APIs).
exotx provides a simple and user-friendly interface for pricing and analyzing financial derivatives using QuantLib's advanced numerical methods.
Cornell Quant Fund 2022 Trading competition Options Case winner
A GUI Based executable app which takes input values from the end user and return CALL/PUT option prices. Currently working on scaling the app to take datasets as input and store resultant option pricing in a file.
Stochastic volatility models and their application to Deribit crypro-options exchange
Option price calculation based on Black Scholes equation
Fixed income valuation with term structure models and Monte Carlo simulations: Pricing straight, floating and callable bonds, swaps, swaptions, forward rate agreements, and more exotic securities such as inverse or range floaters
This repository contains a range of Financial Engineering Projects utilizing Data Science and Python to apply quantitative methods in the Financial markets
Market Data's Official Go SDK
Create, manage & improve your automated trading strategies with rich and diverse data sets, a first class local development experience and a progression story for deployment across clouds.