February 24, 2026 - Quantsbin - Python - Tools for pricing and plotting of vanilla option prices, greeks and various other analysis around them. finoptions - Python - Complete python implementation of R package fOptions with partial implementation of fExoticOptions for pricing various options. pypme - Python - PME (Public Market Equivalent) calculation. AbsBox - Python - A Python based library to model cashflow for structured product like Asset-backed securities (ABS) and Mortgage-backed securities (MBS).

Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.

Open souce quantitative finance models and algorithms with tutorials - olekssy/quant-finance

3 weeks ago - # Quantize and save turboquant quantize --model Qwen/Qwen3.5-0.8B-Base --output ./quantized --bit-width 4 # Residual quantization turboquant quantize --model Qwen/Qwen3.5-0.8B-Base --output ./quantized \ --bit-width 4 --residual-bit-width 4 ...

Open-source community for AI, LLMs, and Quantitative Finance Empowering research and investment decisions with Large Language Models.

Stochastic Processes: Modeling price dynamics with Brownian motion, jump-diffusion, or fractional processes. Optimization Theory: Mean-CVaR frameworks for balancing returns against tail risks. Game Theory: Simulating strategic interactions among market participants (e.g., order-book competition). Quant AI is the application of advanced computational methods to systematically extract alpha while rigorously managing risk in complex, adaptive financial systems.

A list of online resources for quantitative modeling, trading, portfolio management - EliteQuant/EliteQuant

Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.

Code Sinppet for Quant . Contribute to rz0718/quant_models development by creating an account on GitHub.

Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.

Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.

python keras mpt lstm-model market-data simulations portfolio-optimization quantitative-finance algorithmic-trading backtesting-trading-strategies quantitative-trading forecasting-models timeseries-analysis portfolio-allocation markowitz-portfolio quant-finance-models

Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.

The library will provide TensorFlow ... pricing models. The coverage is being expanded over the next few months. ... Foundational methods. Core mathematical methods - optimisation, interpolation, root finders, linear algebra, random and quasi-random number generation, etc. Mid-level methods. ODE & PDE solvers, Ito process framework, Diffusion Path Generators, Copula samplers etc. Pricing methods and other quant finance specific ...

Quantitative finance example applications on GPUs using portable programming models. - NVIDIA/accelerated-quant-finance

This is a production-ready quantitative trading system that combines traditional financial analysis with cutting-edge AI/ML technologies. The system provides a complete pipeline from data collection to strategy execution, featuring real-time ...

Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD - je-suis-tm/quant-trading

February 21, 2026 - Python toolkit for quantitative finance. Contribute to goldmansachs/gs-quant development by creating an account on GitHub.

Quant Analyst Quant Researcher Quant Trader Quant Developer Algorithmic Trader Quant Strategist Quant Risk Analyst Quant Modeler Fixed Income Desk Quant Quant Finance Analyst Quantitative Engineering Quant Consultant Interest Rate Derivative Quant Treasury Quantitative Analyst Risk Analyst Market Risk Quant Risk Manager Financial Engineer Credit Risk Analyst Market Risk Analyst Model Risk Analyst Model Validation Analyst

We cannot provide a description for this page right now