Singapore/Changsha, China

GuoHao Qi

Expert
@Barca0412

Seeking Alpha

Introduction-to-Quantitative-Finance. AI+金融(量化):1.多因子股票量化框架开源教程 2.学界和业界的经典资料收录 3.AI + 金融的相关工作,包括LLM, Agent, benchmark(evaluation), etc.

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Barca0412.

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GPlearn-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。

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gplearn. Genetic Programming in Python, with a scikit-learn inspired API

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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

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gplearn_cross_factor. Enhance the gplearn package to support precise three-dimensional structured dimension genetic programming (GP), with a particular focus on enabling cross-sectional factor analysis within the package.

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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。

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Barca0412.github.io. Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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VocabMaster. AI-powered vocabulary learning application with spaced repetition

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Replace-sklearn-by-NumPy.

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factor-mining_gplearn. Python

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awesome-obsidian. 🕶️ Awesome stuff for Obsidian

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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

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gplearn_stock. 改进gplearn,主要使用在股票公式挖掘

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gpquant. Mining technical factors based on symbolic regression via genetic algorithm

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IT_book. 本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍,没准你想找的书就在这里呢,包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列(常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习,深度学习等等),大数据系列(Spark,Hadoop,Scala,kafka等),程序员必修系列(C、C++、java、数据结构、linux,设计模式、数据库等等)

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geppy. A framework for gene expression programming (an evolutionary algorithm) in Python

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scikit-learn. scikit-learn: machine learning in Python

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developer-roadmap. Interactive roadmaps, guides and other educational content to help developers grow in their careers.

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Deep-Learning-Interview-Book. 深度学习面试宝典(含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向)

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talib-document. talib学习 talib中文翻译 talib中文文档

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guohao. JavaScript

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OFO. Python Data Analysis and Financial Calculation

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deap. Distributed Evolutionary Algorithms in Python

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Notes-for-Quantitative-Finance.

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plush-ai-companion. 一个温暖可爱的AI伙伴应用,为用户提供陪伴、学习支持和情感交流的数字化毛绒玩具体验

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Cover-letter-of-Hunan-University. 湖南大学的cover letter模板

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