Alternatives and similar repositories for Quant_Statistics

Users that are interested in Quant_Statistics are comparing it to the libraries listed below

• QuantNi / Quant_PPT
  ☆36Updated 2 years ago
• QuantNi / Quant_Strategy
  Quant_Strategy
  ☆26Updated 3 years ago
• dkl0707 / factor_backtest
  因子回测框架
  ☆141Updated 2 years ago
• QuantNi / Quant-Report
  ☆191Updated 2 years ago
• ShiliangZhang-nku / Barra_CNE6
  Barra CNE6 因子构建
  ☆345Updated 5 years ago
• QuantWorld2022 / qlib_tutorial
  ☆199Updated 2 years ago
• phonegapX / alphasickle
  多因子指数增强策略/多因子全流程实现
  ☆362Updated last year
• coamo2 / Barra
  Barra Multifactor Model
  ☆159Updated 5 years ago
• Quant132 / BackTrader_Multifactors
  BackTrader多因子回测框架 （Multi-factors backtesting framework for BackTrader）
  ☆125Updated 4 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。
  ☆140Updated 2 years ago
• Miya-Su / Quantitative-Trading
  量化投资
  ☆251Updated 6 years ago
• industry-report / huatai-finengi-report
  华泰金工研究报告
  ☆224Updated 2 years ago
• nutquant / QuantCode
  分享量化投资相关的论文，代码和代码复现。
  ☆85Updated 2 years 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
  ☆31Updated 2 years ago
• quant2008 / alphas
  alpha101, alpha191, alphalens, backtrader, 量化研究
  ☆42Updated 2 years ago
• jrothschild33 / Black-Litterman-Model
  使用Python复现Black-Litterman模型。Black-Litterman模型创造性地采用贝叶斯方法将投资者对预期收益的主观看法与资产的市场均衡收益相结合，有效地解决了Markowitz均值-方差模型中投资者难以准确估计各个投资品种预期收益率、以及其权重对预期收…
  ☆152Updated 5 years ago
• Tingqin-D / basic_codes_for_quant
  ☆60Updated 2 years ago
• htdai / Campisi-Fixed-Income-Performance-Attribution-Model
  Campisi纯债型基金业绩归因模型程序，适用于中国市场，需要有Wind的API接口权限
  ☆42Updated 2 years ago
• FinHackCN / xlib
  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
  ☆51Updated 3 years ago
• YTZzzzz / Barra_CNE5
  Provide risk forecasts by Barra China Equity Model
  ☆173Updated 7 years ago
• Jensenberg / multi-factor
  因子构建、单因子测试
  ☆72Updated 4 years ago
• dayzorro / GPLearnFinance3D
  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。
  ☆154Updated 2 years ago
• piginzoo / mfm_learner
  我的多因子模型、量化投资沙盒
  ☆188Updated 2 years ago
• WHUFT / WHU_FinTech_Workshop
  武汉大学金融科技研讨班
  ☆366Updated this week
• 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
  ☆95Updated 6 years ago
• UePG-21 / gpquant
  Mining technical factors based on symbolic regression via genetic algorithm
  ☆209Updated 2 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
  ☆65Updated last year
• popbo / alphas
  alpha101, alpha191, alphalens, backtrader, 量化研究
  ☆436Updated 2 years ago
• xhlgogo / Quantitative-Investment-Trading-system
  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。
  ☆253Updated last year
• changshun / Barra-Model
  An internship project: Implement Barra model to take risk or style factor attribution based on multi-factor model.
  ☆70Updated 8 years ago