Alternatives and similar repositories for python-quant-study

Users that are interested in python-quant-study are comparing it to the libraries listed below

• QuantNi / Quant-Report
  ☆196Updated 2 years ago
• Miya-Su / Quantitative-Trading
  量化投资
  ☆254Updated 6 years ago
• dkl0707 / QuantDatabase
  金融量化数据库构建
  ☆92Updated 2 years ago
• FinHackCN / startquant
  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！
  ☆168Updated 3 years ago
• veighna-global / vnpy_binance
  Binance trading gateway for VeighNa Evo
  ☆373Updated 2 weeks ago
• QuantWorld2022 / qlib_tutorial
  ☆205Updated 2 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。
  ☆144Updated 2 years ago
• tkfy920 / PythonQuantitativeFinance
  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）
  ☆442Updated 4 years ago
• industry-report / huatai-finengi-report
  华泰金工研究报告
  ☆230Updated 2 years ago
• quant2008 / alphas
  alpha101, alpha191, alphalens, backtrader, 量化研究
  ☆43Updated 2 years ago
• QuantML-C / QuantML
  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
  ☆147Updated 6 months ago
• fire-institute / fire
  This repo is the bundled opensource toolkit for book `Navigate through the Factor Zoo: The Science of Factor Investing`.
  ☆93Updated 5 months ago
• vnpy / vnpy_ctastrategy
  VeighNa框架的CTA策略模块
  ☆181Updated last month
• nutquant / QuantCode
  分享量化投资相关的论文，代码和代码复现。
  ☆88Updated 2 years ago
• phonegapX / alphasickle
  多因子指数增强策略/多因子全流程实现
  ☆367Updated last year
• QuantNi / Quant_Statistics
  ☆12Updated 3 years ago
• QuantWorld2022 / backtrader
  ☆572Updated 3 years ago
• dkl0707 / factor_backtest
  因子回测框架
  ☆141Updated 2 years ago
• Quant132 / BackTrader_Multifactors
  BackTrader多因子回测框架 （Multi-factors backtesting framework for BackTrader）
  ☆125Updated 4 years ago
• 51bitquant / course_codes
  VNPY 2020 Python数字货币量化交易视频教程课程代码和资料
  ☆321Updated 3 years ago
• WHUFT / WHU_FinTech_Workshop
  武汉大学金融科技研讨班
  ☆375Updated last week
• sabirjana / Strategies
  ☆88Updated 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。
  ☆155Updated 2 years ago
• neilsmurphy / backtrader_template
  Basic template for managing Backtrader backtests.
  ☆185Updated 4 years ago
• piginzoo / mfm_learner
  我的多因子模型、量化投资沙盒
  ☆188Updated 2 years ago
• hugo2046 / streamlit_alphalens
  基于streamlit的因子分析app
  ☆91Updated 10 months ago
• STHSF / alpha101
  101 alpha factors calculate based on Alpha101
  ☆165Updated 6 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
• 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
  ☆67Updated 2 years ago
• Tingqin-D / basic_codes_for_quant
  ☆59Updated 2 years ago