There are 39 repositories under derivatives topic.
Python toolkit for quantitative finance
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.
A hopefully comprehensive guide to the defi derivative landscape
Multi-asset, multi-strategy, event-driven trading platform for running low to medium freq strategies at many venues simultaneously with portfolio-based risk management and %-per-strategy capital allocation. Supports event-driven backtesting across all desired instruments, venues and strategies under a single parameterized portfolio.
A composable, real time, market data and trade execution toolkit. Built with Elixir, runs on the Erlang virtual machine
The NSE has a website which displays the option chain in near real-time. This program retrieves this data from the NSE site and then generates useful analysis of the Option Chain for the specified Index or Stock. It also continuously refreshes the Option Chain and visually displays the trend in various indicators useful for Technical Analysis.
Option pricing based on Black-Scholes processes, Monte-Carlo simulations with Geometric Brownian Motion, historical volatility, implied volatility, Greeks hedging
Оценка эффективности инвестиций с учетом комиссий, налогов (удержанных и ожидающихся), дивидендов и купонов.
Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support
Comprehensive automatic differentiation in C++
The Greatest Collection of anything related to finance and crypto
Financial Derivatives Calculator with 168+ Models (Options Calculator)
Quant Option Pricing - Exotic/Vanilla: Barrier, Asian, European, American, Parisian, Lookback, Cliquet, Variance Swap, Swing, Forward Starting, Step, Fader
Simple backtesting software for options
Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers.
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
A fixed income library for pricing bonds and bond futures, and derivatives such as IRS, cross-currency and FX swaps. Contains tools for full Curveset construction with market standard optimisers and automatic differention (AD) and risk sensitivity calculations including delta and cross-gamma.
A telegram copy trading bot that follows cryptocurrency derivatives trade on the binance leaderboard.
Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux
FastAD is a C++ implementation of automatic differentiation both forward and reverse mode.
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.
Upgrade latest kernel automatically for Ubuntu and derivatives such as Linux Mint. :runner:
Ethereum based derivatives trading protocol creating digital tokens for any asset
A REST API providing snapshot, tick, and aggregated market data for crypto-currencies
Option trading platform on NSE (India) for Upstox
Financial derivatives modeling and pricing in Julia.