Real time stock and option data.
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Updated
Jul 6, 2024 - Python
Real time stock and option data.
A Python library for evaluating option trading strategies.
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.
Python Financial ENGineering (PyFENG package in PyPI.org)
Vanilla option pricing and visualisation using Black-Scholes model in pure Python
European/American/Asian option pricing module. BSM/Monte Carlo/Binomial
A software to shortlist and find the best options spread available for a given stock and help it visualise using payoff graphs.
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.
Implementations of Leading Algorithms in Quantitative Finance
A Python Script To Fetch The Government Securities T-Bills Interest Rates From RBI Website.
Calculation and Visualization of Option Price and Greeks on European Options using the Black-Scholes Option Pricing Model
Option pricing and Delta hedging performance comparison between Black and Scholes vs Artificial Neural Network
Implementation of option pricing models using Numba that performs better. This entire project has utilized as little libraries as possible, even though certain models have their own Machine Learning Model with assessment and performance.
Calculate Black Scholes Implied Volatility - Vectorwise
Option pricing using Black-Scholes model, Bachelier model, Binomial Trees and Monte Carlo simulation under different stochastic processes
Python tkinter GUI for interactive Black-Scholes option prices/greeks plot
Black Scholes PDE to calculate Option price and Greek Letter
😱 This Python script provides a comprehensive analysis of stock options using data retrieved from Yahoo Finance. It calculates various metrics such as implied volatility, historical volatility, intrinsic value, and time value for stock options. The analysis is based on the Black-Scholes option pricing model and historical stock price data.
Interactive Black-Scholes option price dashboard. Generated visuals include implied volatility plots and heatmaps reflecting premium changes based on volatility and spot price variations. Incorporates data storage in a relational database with referential integrity.
Hedging options by using Monte Carlo simulations or real data
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