jeremy-feng / AlphaNet

Related projects ⓘ

Alternatives and complementary repositories for AlphaNet

• jeremy-feng / high-frequency-factors
  High frequency factors based on order and trade data.
  ☆32Updated 10 months ago
• DulyHao / AlphaForge
  A new formulaic alpha mining framework for quantitative investment
  ☆78Updated 2 months ago
• sqc-cser / HTSC_Stock_RL
  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
  ☆26Updated 2 years ago
• AlfredCYL / gplearn_cross_factor
  Enhance the gplearn package to support precise three-dimensional structured dimension genetic programming (GP), with a particular focus …
  ☆28Updated 2 months ago
• rosie068 / BARRA_risk
  A risk evaluation program that follows BARRA's CNE6 and USE4 risk model to predict the risk and distribution of factors in a portfolio. C…
  ☆55Updated 3 years ago
• ACEACEjasonhuang / gplearnplus
  升级后的gplearn， 支持包含时序和截面参数的自定义函数，例如均线
  ☆53Updated 9 months ago
• a1137261060 / Multi-Factor-Models
  多因子模型相关
  ☆21Updated 3 years ago
• wjsbjl / use-gplearn-to-generate-CTA-factor
  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。
  ☆100Updated 10 months ago
• ryanluoli1 / AlphaNet
  An end-to-end stock factors mining neural network framework.
  ☆21Updated last year
• fangshi1991 / gplearn_stock
  改进gplearn,主要使用在股票公式挖掘
  ☆90Updated 4 years ago
• Scorpi000 / QSDoc
  Quant Studio Document
  ☆22Updated 3 years ago
• etccapital / MultiFactor
  Built a practical Multi-Factor Backtesting Framework from scratch based on Huatai Security's(One of China's largest sell side) financial …
  ☆52Updated 2 years ago
• AutoAlpha2022 / AutoAlpha
  通过遗传算法、强化学习来自动选择高频因子
  ☆23Updated last year
• changshun / Barra-Model
  An internship project: Implement Barra model to take risk or style factor attribution based on multi-factor model.
  ☆63Updated 6 years ago
• jiangtiantu / FactorMining
  基于基因表达式规划算法的因子挖掘
  ☆24Updated 3 years ago
• YuminQuant / YuminQuant
  Backtest Framework designed by YuminQuant&Yumin.
  ☆11Updated 2 months ago
• lc-sysbs / alpha101-new
  基于华泰研报对原alpha101代码进行简化和拓展
  ☆41Updated 4 years ago
• nutquant / QuantCode
  分享量化投资相关的论文，代码和代码复现。
  ☆70Updated last year
• lc-sysbs / alpha101
  基于万矿平台，对alpha101因子进行测试并构造多因子策略
  ☆82Updated 5 years ago
• dkl0707 / factor_backtest
  因子回测框架
  ☆89Updated last year
• cuicanyeah / Alpha-Generation
  ☆23Updated last year
• UePG-21 / Barra-risk-model
  Implemented some mathematical processings used in the Barra risk model
  ☆22Updated last year
• RichardS0268 / CNN-for-Trading
  Reimplementation of Paper: (Re-)Imag(in)ing Price Trends
  ☆42Updated 3 months ago
• Morgansy / Genetic-Alpha
  A genetic programming algorithm used for generating alpha factors in the multi-factor investment strategy
  ☆55Updated 3 years ago
• UePG-21 / gpquant
  Mining technical factors based on symbolic regression via genetic algorithm
  ☆155Updated last year
• coamo2 / Barra
  Barra Multifactor Model
  ☆133Updated 4 years ago
• hugo2046 / GetAstockFactors
  获取经典的量化多因子模型数据
  ☆62Updated 3 years ago
• han14466 / gplearn_stock_dataframe
  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。
  ☆15Updated 7 months ago
• Constantineople / Assignment1
  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
  ☆17Updated last year
• Jensenberg / multi-factor
  因子构建、单因子测试
  ☆66Updated 3 years ago