Market Maker Bot
github.comA market maker bot for managing liquidity on Uniswap
- GitHub stars
- 66
- Language
- JavaScript
DUCKQUANT / THE QUANT & AI DIRECTORY
14,444 resources, ranked by in-directory PageRank
Showing 12,493–12,528 of 14,444 resources
A market maker bot for managing liquidity on Uniswap
MM Bot for OpenDEX. Make profits via arbitrage between OpenDEX and a connected CEX account like Binance 🤖
An example market maker bot for 01.xyz 🐈️
Public repository by elouafi-abderrahmane-2002. Primary language: Python.
Public repository by Mj2603. Primary language: C++.
This Java library implements numerical methods for pricing financial derivatives, with a focus on the binomial tree model for option pricing.
Public repository by oscar239146. Primary language: Python.
Public repository by kayvaan43. Primary language: Python.
Public repository by dias-henrique. Primary language: Python.
Public repository by Krasper707. Primary language: Jupyter Notebook.
Python derivatives pricing library — Black-Scholes, Greeks, implied volatility (Brent's method), CRR binomial tree (European & American), and Monte Carlo Asian option pricing. Built…
A C++20 derivatives pricing library built from scratch: Monte Carlo simulation, discrete delta hedging, and Fourier-based option pricing. Built with CMake, tested with GoogleTest,…
C++20 derivatives pricing library featuring Black-Scholes, Cox-Ross-Rubinstein, and Monte Carlo engines for European, digital, American, and Asian options.
Modular derivatives pricing library: option chains, implied volatility surfaces, and pricing under Black-Scholes, Heston, SABR and rough Bergomi through one interface.
A lightweight derivative pricing library for research and prototyping
Credit derivatives pricing library featuring a one-factor Gaussian copula model, base correlation calibration, sensitivity analysis, and standalone HTML reporting.
High-performance Monte Carlo derivatives pricing library in C++ with variance reduction, multithreading, and Python bindings via pybind11
Derivatives pricing library: Black-Scholes, Heston stochastic vol, Merton jumps, exotics, American Monte Carlo, calibration + companion paper
OOP equity derivatives pricing library: barrier options, digitals, autocallable structured notes on EuroStoxx 50
Production-grade Python derivatives pricing library with a local Studio desk
Derivatives pricing library in C++ with Python and Excel (XLL) interfaces
Derivatives pricing library: Black-Scholes-Merton (16 Greeks), Monte Carlo with variance reduction, Asian/Barrier/Lookback/Digital exotics, Heston (Fourier pricing, QE simulation, SPX calibration), rough Bergomi (hybrid scheme).…
Financial Derivatives Pricing Library with Automatic Differentiation
Rust-native derivative pricing library leveraging Enzyme for LLVM-based automatic differentiation. Focused on XVA, numerical stability, and high-performance Monte Carlo simulations.
Financial Engineering & Derivatives Pricing Library in Python
A derivatives pricing library with AD sensitivities and calibration
Metasploit-inspired quantitative trading framework with interactive CLI, web dashboard, 19 backtesting strategies, options analytics, and ML-powered market scanners
Structural options analytics for Deribit. Reveals dealer gamma positioning, pin risk, and hedging pressure for BTC and ETH expiries.
Quant finance MCP server for stock analysis, options analytics, implied volatility, Monte Carlo simulation, AI prediction, and backtesting.
Real-time options analytics: GEX/DEX dealer positioning from live chains (Rust/Tokio + PostgreSQL + Node.js)
Professional GEX (Gamma Exposure) Visualizer with modern UI, multiple calculation variants, and real-time options analytics
A Streamlit options analytics lab for Black-Scholes pricing, Greeks, volatility, sensitivities, and payoff diagrams.