Barca0412 / Introduction-to-Quantitative-Finance
量化投资入门资料整理:1.多因子股票量化框架开源教程 2.学术界和业界的经典资料收录
☆556Updated 4 months ago
Alternatives and similar repositories for Introduction-to-Quantitative-Finance
Users that are interested in Introduction-to-Quantitative-Finance are comparing it to the libraries listed below
Sorting:
- FinHack®,一个易于拓展的量化金融框架,它在当前版本中集成了数据采集、因子计算、因子挖掘、因子分析、机器学习、策略编写、量化回测、实盘接入等全流程的量化投研工作。☆648Updated 3 weeks ago
- 华泰金工研究报告☆173Updated 2 years ago
- 武汉大学金融科技研讨班☆329Updated last week
- 专注于分享Python在金融领域的应用,欢迎关注微信公众号: Python金融量化 (id:tkfy920)☆400Updated 3 years ago
- 多因子指数增强策略/多因子全流程实现☆311Updated last year
- 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☆16Updated last month
- alpha101, alpha191, alphalens, backtrader, 量化研究☆297Updated 2 years ago
- ☆516Updated 2 years ago
- 中国人民大学财政金融学院“金融计量与量化策略分析”课程与“量化投资交易策略分析与系统设计”课程。☆223Updated last year
- 量化投资☆220Updated 6 years ago
- Barra CNE6 因子构建☆292Updated 5 years ago
- 因子回测框架☆111Updated last year
- asset of LLMQuant☆158Updated this week
- 聚宽单因子分析工具☆541Updated 2 months ago
- Generating sets of formulaic alpha (predictive) stock factors via reinforcement learning.☆704Updated 4 months ago
- ☆177Updated last year
- BackTrader中文教程笔记(by:量化投资与机器学习),系统性介绍Bactrader的特性、策略构建、数据结构、回测交易等,彻底掌握量化神器的使用方法。章节:介绍篇、数据篇、指标篇、交易篇、策略篇、可视化篇……(持续更新中)☆1,499Updated 3 years ago
- ☆58Updated last year
- ☆157Updated last year
- 我的多因子模型、量化投资沙盒☆155Updated last year
- Code and Data for Harold's Quant Channel Factor Training Series 哈罗德的量化频道 --- 因子实战系列全部 数据+代码文件☆63Updated 10 months ago
- 量化研究-券商金工研报复现☆3,433Updated 3 months ago
- AI量化实验室,专注将前沿人工智能技术(深度学习/强化学习/知识图谱)应用于金融量化投资。☆796Updated last year
- Scripts and doc for https://www.dolthub.com/repositories/chenditc/investment_data☆422Updated this week
- Quant 教程整理☆383Updated last year
- Official implementation for AAAI2025: AlphaForge: A Framework to Mine and Dynamically Combine Formulaic Alpha Factors☆190Updated 8 months ago
- 本仓库为公众号FinHack炼金术《从零开始卷量化》系列文章示例代码,带你零基础入门量化交易!☆126Updated 2 years ago
- 本项目为量化开源课程,可以帮助人们快速掌握量化金融知识以及使用Python进行量化开发的能力。☆1,121Updated 11 months ago
- 基于机器学习方法构建多因子选股模型:RandomForest, GBDT, Adaboots, xgboost,MLP, Linear Model, LSTM☆202Updated 5 years ago
- Mining technical factors based on symbolic regression via genetic algorithm☆177Updated 2 years ago