HaoningChen / scutquant
scutquant是一个开源的离线量化投资平台,由华南理工大学量化投资协会负责维护. 该框架具有低耦合, 高内聚的特点
☆46Updated 9 months ago
Alternatives and similar repositories for scutquant:
Users that are interested in scutquant are comparing it to the libraries listed below
- Stock factor mining with CNN and GRU.☆50Updated 2 years ago
- 分享量化投资相关的论文,代码和代码复现。☆76Updated last year
- 获取经典的量化多因子模型数据☆69Updated 3 years ago
- 量化投资回测框架,包含回测框架、投资组合优化器和单因子测试三个模块。通过该框架,用户仅需提供因子数据,即可完成完整的回测流程,并对策略进行深入分析。框架支持并行计算,能够在大数据量的情况下快速运行。框架粗糙,还有太多可改进之处,非常欢迎大家一起来体验使用,参与改进,量化学习…☆32Updated 3 months ago
- An end-to-end stock factors mining neural network framework.☆28Updated last year
- 一个简单的量化研究框架,具备基本的数据获取、因子分析、机器学习、回测及结果分析功能☆44Updated 2 years ago
- High frequency factors based on order and trade data.☆43Updated last year
- 沪深300指数增强模型☆78Updated 5 years ago
- 复现华泰证券《强化学习初探与DQN择时》研报中的DQN模型与效果☆31Updated 2 years ago
- 因子回测框架☆105Updated last year
- 基于万矿平台,对alpha101因子进行测试并构造多因子策略☆88Updated 5 years ago
- alpha投研示例☆63Updated last month
- 基于华泰研报对原alpha101代码进行简化和拓展☆42Updated 5 years ago
- Backtrader量化策略研报复现☆27Updated 3 years ago
- 多因子模型相关☆21Updated 3 years ago
- 根据20170925-华泰期货-CTA量化策略因子系列(二):动量因子研报进行复现☆21Updated last year
- 华泰金工研究报告☆160Updated 2 years ago
- 基于streamlit的因子分析app☆57Updated last year
- 我自己的单因子研究框架☆23Updated last year
- Backtest Framework designed by YuminQuant&Yumin.☆16Updated 6 months ago
- BackTrader多因子回测框架 (Multi-factors backtesting framework for BackTrader)☆105Updated 3 years ago
- ☆26Updated last year
- 改写了gplearn源码,原有的gplearn会把数据转为numpy,丢失了datetime和stockcode的原始信息。很难做截面的因子ic、ir分析,所以改动了相应的源码,使之可以做因子的截面ic分析。另外增加了时序函数和并行化框架ray的支持。☆18Updated 11 months ago
- 基于基因表达式规划算法的因子挖掘☆29Updated 3 years ago
- 沪深300指数纯因子组合构建☆51Updated 5 years ago
- 众人的因子回测框架 stock factor test☆25Updated last week
- 基于聚宽平台,探索分钟级的高频交易☆34Updated 4 years ago
- 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 7 months ago
- 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。☆116Updated last year
- Enhance the gplearn package to support precise three-dimensional structured dimension genetic programming (GP), with a particular focus …☆34Updated 6 months ago