LLMQuant / quant-mindLinks
QuantMind is an intelligent knowledge extraction and retrieval framework for quantitative finance.
☆109Updated 4 months ago
Alternatives and similar repositories for quant-mind
Users that are interested in quant-mind are comparing it to the libraries listed below
Sorting:
- The implementation of AlphaEval: A Comprehensive and Efficient Evaluation Framework for Formula Alpha Mining(https://www.arxiv.org/abs/25…☆145Updated 3 months ago
- Alpha Agent: A Multi-Agent Based Framework for Alpha Research in Quantitative Investment☆67Updated 6 months ago
- AlphaAgent is an autonomous alpha mining framework.☆147Updated 7 months ago
- Official implementation for AAAI2025: AlphaForge: A Framework to Mine and Dynamically Combine Formulaic Alpha Factors☆335Updated last year
- AI-powered CLI tool: Transform trading research papers into QuantConnect algorithms☆86Updated last week
- ☆139Updated 10 months ago
- 量化机器学习/深度学习模型(Model Zoo);Alpha 因子(Factor Zoo); 量化资源以及相关论文代码☆147Updated 6 months ago
- powerful ai-copilot for quant traders and researchers☆199Updated last year
- ☆129Updated last year
- financial market analyst with ai agent☆39Updated 11 months ago
- FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series Forecasting☆118Updated 5 months ago
- Official implementation of AlphaSAGE: Structure-Aware Alpha Mining via GFlowNets for Robust Exploration (https://arxiv.org/abs/2509.2505…☆75Updated 4 months ago
- ☆137Updated last year
- A deep reinforcement learning framework for generating formulaic alpha factors for quantitative investment, powered by GFlowNet, implemen…☆97Updated 2 weeks ago
- TorchQuantum is a backtesting framework that integrates the structure of PyTorch and WorldQuant's Operator for efficient quantitative fin…☆51Updated 2 years ago
- ☆118Updated 6 years ago
- Hybrid Python + Rust backtesting framework☆284Updated 2 months ago
- pseudocode and algorithms for the paper "Alpha$^2$: Discovering Logical Formulaic Alphas using Deep Reinforcement Learning"☆171Updated last year
- Implementation of "AlphaQCM: Alpha Discovery in Finance with Distributional Reinforcement Learning"☆99Updated 6 months ago
- Mining technical factors based on symbolic regression via genetic algorithm☆215Updated 2 years ago
- Implementation of various deep learning models for limit order book. DeepLOB (Zhang et al., 2018), TransLOB (Wallbridge, 2020), DeepFolio…☆143Updated 3 years ago
- Code for the paper "FinRL-DeepSeek: LLM-Infused Risk-Sensitive Reinforcement Learning for Trading Agents" arXiv:2502.07393☆301Updated 9 months ago
- This is the official repository for the paper TLOB: A Novel Transformer Model with Dual Attention for Price Trend Prediction with Limit O…☆106Updated 2 weeks ago
- factor performance visualization☆48Updated 3 months ago
- Papers for AI + quantitative investment☆135Updated last year
- An end-to-end stock factors mining neural network framework.☆50Updated 2 years ago
- 机器学习交易策略搭建研究的全套解决方案 / Building Trading Strategies with Machine Learning in Closed-Loop☆67Updated 5 months ago
- Stock factor mining with CNN and GRU.☆71Updated 3 years ago
- High frequency factors based on order and trade data.☆70Updated 2 years ago
- 对GPLearn完成了三维改造,并且增加了IC,IR,RankIC等指标,增加了样本内样本外的数据保存,增加了基于IC追踪所有generation中符合要求的因子并保存的功能。☆155Updated 2 years ago