#Quantitative-research
Showing 11 of 11 repositories tagged #quantitative-research, ranked by stars
QuantMind is an intelligent knowledge extraction and retrieval framework for quantitative finance.
入门资料整理：1.多因子股票量化框架开源教程 2.学界和业界的经典资料收录 3.AI + 金融的相关工作，包括LLM, Agent, benchmark(evaluation), etc.
Cookiy AI Skill for AI agents (Claude, Codex, Cursor, OpenClaw) — end-to-end user research: AI interviews, synthetic users, quant surveys, participant recruitment.
Python-based quant trading research project for short-term reversal option setups, universe selection, staged-entry backtesting, and live paper trading.
Autonomous quantitative trading research platform that transforms stock lists into fully backtested strategies using AI agents, real market data, and mathematical formulations, all without requiring any coding.
An open-source, lightweight, and blazing-fast financial machine learning library built with Numba. Process raw trades, generate advanced bars, features, and labels for quantitative research.
Research experiments exploring uncommon quant techniques.
A community-curated vault of openly available resources that replicates the rigorous syllabus of top MFE / Quant Finance programs
End-to-end RL trading framework with PPO agent, self-attention neural network, custom Gym environment, and advanced backtesting.
Real-time forex trading system with modular architecture, multi-timeframe signal generation, GMM-based regime detection, Kelly-based risk management, and CLI tools for backtesting, monitoring, and performance analysis.
UNMAINTAINED | R-package providing access to fundamental data and valuation metrics for thousands of publicly traded companies worldwide.