Ricequant 量化社区的初衷让各位爱好量化的人士可以碰撞思维，在分享和争辩中学习到有用且实战的量化知识。有赖于各位在社区中贡献满满的干货以及有质量的讨论，从编程入门教学到技术指标再到多因子选股、财务数据分析等，囊括了很多方面的知识。 我在此组织 整理了下社区所发的内容、并分类出来，方便大家更容易找到相应的知识点。此贴会不断地更新 在此感谢很多的**贡献了很多有趣的讨论，由于篇幅原因就不一一列出了。 下面开始放毒了：Python入门 - [廖雪峰老师的Python教程](http://www.liaoxuefeng.com/wiki/0014316089557264a6b348958f449949df42a6d3a2e542c000) - [python基础之字典与集合](https://www.ricequant.com/community/topic/713/) - [python基础之基本数据类型](https://www.ricequant.com/community/topic/580/) - [python基础之列表](https://www.ricequant.com/community/topic/581/) - [python基础之元组](https://www.ricequant.com/community/topic/582/) - [numpy 矩阵运算](https://www.ricequant.com/community/topic/439/) - [【Python 教程 101】series and dataframe](https://www.ricequant.com/community/topic/522/) - [【Python 教程 101】应用：从日收益率到月收益率](https://www.ricequant.com/community/topic/523/) - [【散沙】Python科学计算系列 - B站链接](http://www.bilibili.com/video/av3635746/) - [散沙-python数据分析教学视频](https://www.ricequant.com/community/topic/188) - [一些Python的入门学习资料](https://www.ricequant.com/community/topic/543) - [pandas的两种基本的数据结构series和dataframe ]( https://www.ricequant.com/community/topic/522/)Ricequant 平台入门教学 - [【Ricequant教学 1】- Ricequant和策略交易IDE介绍 ](https://www.ricequant.com/community/topic/165 ) - [ 【Ricequant教学 2】- 开始编写第一个量化交易策略 ](https://www.ricequant.com/community/topic/169) - [ 【Ricequant教学 3】- 回测第一个量化交易策略 ](https://www.ricequant.com/community/topic/170 ) - [ 【Ricequant教学 4】- 在python策略中使用Ta-lib计算技术指标 ](https://www.ricequant.com/community/topic/174) - [【Ricequant教学 5】- 进行Fundamental查询来探索价值投资 & Screener功能](https://www.ricequant.com/community/topic/178) - [ 【Ricequant Research教学1】- Research平台基本功能简介 ](https://www.ricequant.com/community/topic/247) **技术分析指标及TALIB的使用** - [在python策略中使用Ta-lib计算技术指标](https://www.ricequant.com/community/topic/174) - [SMA 入门策略 - 移动平均线](https://www.ricequant.com/community/topic/278) - [STOCH（KD指标）](https://www.ricequant.com/community/topic/388) - [平均趋向指数ADX和动向指数DMI](https://www.ricequant.com/community/topic/273) - [RSI指标](https://www.ricequant.com/community/topic/299) - [趋势指标分享 － Aroon indicator](https://www.ricequant.com/community/topic/311) - [Bollinger Bands应用](https://www.ricequant.com/community/topic/419) - [自制DMI指标](https://www.ricequant.com/community/topic/674/) - [顺势指标（CCI）的应用](https://www.ricequant.com/community/topic/982)【价值投资】【财务分析】【基本面】 - [进行Fundamental查询来探索价值投资 & Screener功能](https://www.ricequant.com/community/topic/178/) - [Graham number 格雷厄姆数字价值投资法](https://www.ricequant.com/community/topic/285/) - [格林布拉特价值投资神奇公式](https://www.ricequant.com/community/topic/549) - [策略-迈克尔喜伟收益型投资](https://www.ricequant.com/community/topic/476) - [投资成长型公司](https://www.ricequant.com/community/topic/448/) - [ growth investment 结合市场技术指标策略](https://www.ricequant.com/community/topic/290) - [在ricequant上用股票市盈率数据做反转策略回测](https://www.ricequant.com/community/topic/223) - [基本面、高收益交集策略](https://www.ricequant.com/community/topic/46) - [基本面选股器: Piotroski F-Score ranking system](https://www.ricequant.com/community/topic/297) - [多因子策略（一）](https://www.ricequant.com/community/topic/352 )研究分享   -  [线性回归](https://www.ricequant.com/community/topic/482) - [相关系数基础 ](https://www.ricequant.com/community/topic/589/ )  - [Beta对冲](https://www.ricequant.com/community/topic/496/) - [斯皮尔曼秩相关系数 ](https://www.ricequant.com/community/topic/488/) - [Spearman Rank 相关系数](https://www.ricequant.com/community/topic/846) - [参数预估的不稳定性](https://www.ricequant.com/community/topic/490/ ) - [回归模型的违背](https://www.ricequant.com/community/topic/497/ ) - [回归系数的不稳定性](https://www.ricequant.com/community/topic/498/ ) - [应用机器学习的建议(一)](https://www.ricequant.com/community/topic/707/) - [应用机器学习的建议(二)](https://www.ricequant.com/community/topic/737/) - [单因子量化研究（自动版）)](https://www.ricequant.com/community/topic/725) - [择时策略参数优化](https://www.ricequant.com/community/topic/646/)  - [恒生&标普500研究](https://www.ricequant.com/community/topic/1025/)理论实证  - [Markowitz 资产组合优化原理在Python中的应用](https://www.ricequant.com/community/topic/180)  - [Fama-French三因素模型（一）](https://www.ricequant.com/community/topic/708/)  - [Fama三因素模型（二）一个简单的策略运用](https://www.ricequant.com/community/topic/732/)  - [Fama三因素模型（三）因子风险暴露Factor Risk Exposure](https://www.ricequant.com/community/topic/805/)  - [Fama三因素模型（四）Fama五因素模型！](https://www.ricequant.com/community/topic/811)  - [套利定价模型（APT）的应用](https://www.ricequant.com/community/topic/804/)  - [HMM在股票上的简单应用](https://www.ricequant.com/community/topic/788)  - [隐马尔科夫链模型对于沪深300指数建模的进一步研究](https://www.ricequant.com/community/topic/822)  - [GARCH模型：对波动率建模](https://www.ricequant.com/community/topic/992/)  - [ARMA+GARCH交易策略在沪深300指数上的应用](https://www.ricequant.com/community/topic/1319/)  - [用Ricequant 做主成分分析法(PCA) 建立统计因子模型的一些分享](https://www.ricequant.com/community/topic/550/)  - [Carhart four-factor model 四因子模型 研究部分](https://www.ricequant.com/community/topic/859/)经典策略 - [海龟交易系统的python完全版](https://www.ricequant.com/community/topic/180) - [趋势策略小试牛刀，海龟交易体系的构建](https://www.ricequant.com/community/topic/62/) - [配对交易-paper-version](https://www.ricequant.com/community/topic/51) - [配对交易（Revised Version）](https://www.ricequant.com/community/topic/49) - [震荡行情利器——网格交易策略](https://www.ricequant.com/community/topic/539/) - [Kelly Formula 凯利公式的简单应用](https://www.ricequant.com/community/topic/598) **轮动策略、ETF** - [相关性较低的ETF组合策略]( https://www.ricequant.com/community/topic/548) - [ETF轮动策略](https://www.ricequant.com/community/topic/467) - [A股市场的ETF轮动策略](https://www.ricequant.com/community/topic/283) - [沪深300etf套利](https://www.ricequant.com/community/topic/338) - [a股etf秘史-转 ](https://www.ricequant.com/community/topic/545 )动量、趋势、反转 - [Worst-K策略](https://www.ricequant.com/community/topic/531/) - [Dual Thrust 交易策略](https://www.ricequant.com/community/topic/392/) - [比想象中效果要差的网格交易法](https://www.ricequant.com/community/topic/456) - [趋势还是反转-关于mfi和rsi的一些思考](https://www.ricequant.com/community/topic/294)舆情大数据 - [滚雪球-雪球滚起来吧-到底我们是否能靠舆情事件赚钱呢](https://www.ricequant.com/community/topic/551) - [一起举牌吧，A股举牌概念策略分享](https://www.ricequant.com/community/topic/374)论文、书籍、阅读材料等 - [【论文分享】量化交易领域经典学术论文](https://www.ricequant.com/community/topic/272) - [ 开启你的量化之旅 | 量化投资学习资源](https://www.ricequant.com/community/topic/47) - [【Python教学】一些Python的入门学习资料，持续添加...](https://www.ricequant.com/community/topic/543) - [【paper分享】101个Alpha-World Quant](https://www.ricequant.com/community/topic/519) - [【学习资料】Python、R语言、计量经济学、投资书籍、研究报告等(Book+Video)](https://www.ricequant.com/community/topic/449)

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