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
☆499Updated 2 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
- 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)☆377Updated 3 years ago
- 多因子指数增强策略/多因子全流程实现☆302Updated last year
- 因子回测框架☆109Updated last year
- 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。☆532Updated 2 weeks ago
- 量化投资☆213Updated 6 years ago
- 华泰金工研究报告☆163Updated 2 years ago
- ☆497Updated 2 years ago
- 武汉大学金融科技研讨班☆309Updated last week
- 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。☆215Updated 11 months ago
- alpha101, alpha191, alphalens, backtrader, 量化研究☆265Updated last year
- ☆146Updated 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☆56Updated 8 months ago
- ☆57Updated last year
- Barra CNE6 因子构建☆281Updated 5 years ago
- ☆168Updated last year
- 本文通过gplearn模型,结合遗传算法中的遗传规划方法生成因子。这里因子生成基于simple-backtest中的简单回测系统,主要针对股指期货操作。☆119Updated last year
- 我的多因子模型、量化投资沙盒☆147Updated last year
- Mining technical factors based on symbolic regression via genetic algorithm☆173Updated last year
- 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。☆134Updated last year
- 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。☆759Updated 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)☆1,385Updated 3 years ago
- Generating sets of formulaic alpha (predictive) stock factors via reinforcement learning.☆653Updated 3 months ago
- 聚宽单因子分析工具☆527Updated last month
- 量化研究-券商金工研报复现☆3,167Updated last month
- BackTrader多因子回测框架 (Multi-factors backtesting framework for BackTrader)☆108Updated 3 years 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☆196Updated 4 years ago
- Scripts and doc for https://www.dolthub.com/repositories/chenditc/investment_data☆378Updated this week
- alpha101, alpha191, alphalens, backtrader, 量化研究☆37Updated last year
- Application guide for top MFE programs☆76Updated 11 months ago
- AmazingQuant——为交易而生的智能投研Lab。包含策略组合研究服务、量化数据服务、指标计算服务、绩效分析服务四大功能模块。☆250Updated 11 months ago