【2022·合辑】Python量化从入门到精通
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><strong style="color: blue;"><span style="color: black;">引言</span></strong></span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">春去秋来，公众号“<strong style="color: blue;"><span style="color: black;">Python金融量化</span></strong>”已<span style="color: black;">保持</span>了四个年头，全网关注量10万+。在公众号阅读量急剧下降，短视频盛行的当下仍<span style="color: black;">保持</span>文字输出着实<span style="color: black;">不易</span>。这一路走来非常感谢广大读者的支持，尤其是感谢知识星球圈友，累计付费人数1600+，知识付费是公众号<span style="color: black;">保持</span>原创输出的最大动力。</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">今年最大的成<span style="color: black;">便是</span>基于公众号沉淀和网上资源<span style="color: black;">研发</span>了<strong style="color: blue;">qstock </strong>量化分析包，<span style="color: black;">日前</span><span style="color: black;">包含</span><strong style="color: blue;">数据获取（data）、可视化(plot)、选股(stock)和量化回测（backtest）</strong>四个模块。<span style="color: black;">日前</span>qstock面向读者开源，直接<span style="color: black;">经过</span>“<span style="color: black;">pip install qstock</span> ”进行安装，或<span style="color: black;">经过</span>’<span style="color: black;">pip install –upgrade qstock</span>’进行更新，部分策略选股和策略回测功能仅供知识星球会员<span style="color: black;">运用</span>，会员可在知识星球置顶帖子上上获取qstock-vip-1.3.3.tar.gz （强化版）安装包。<span style="color: black;">关于qstock的</span><strong style="color: blue;"><span style="color: black;">数据、可视化、选股和回测</span></strong><span style="color: black;">等<span style="color: black;">仔细</span>教程请参阅以下推文：</span></span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><span style="color: black;"><span style="color: black;">【qstock开源了】数据篇之行情交易数据</span></span></span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><span style="color: black;"><span style="color: black;">【qstock数据篇】行业概念板块与资金流</span></span></span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><span style="color: black;"><span style="color: black;">【qstock量化】数据篇之股票基本面数据</span></span></span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><span style="color: black;"><span style="color: black;">【qstock量化】数据篇之宏观指标和财经<span style="color: black;">资讯</span>文本</span></span></span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><span style="color: black;"><span style="color: black;">【qstock量化】动态交互数据可视化</span></span></span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><span style="color: black;"><span style="color: black;">【qstock量化】技术形态与概念热点选股池</span></span></span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><span style="color: black;"><span style="color: black;">【手把手教你】<span style="color: black;">运用</span>qstock实现量化策略选股</span></span></span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><span style="color: black;"><span style="color: black;">【手把手教你】<span style="color: black;">运用</span>qstock进行量化回测</span></span></span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">学习是一个循序渐进的过程，<span style="color: black;">仅有</span><span style="color: black;">经过</span><span style="color: black;">持续</span>的总结<span style="color: black;">才可</span>形成系统的知识框架。<span style="color: black;">经过</span>对四年来发布的90多篇原创<span style="color: black;">文案</span>进行梳理，归纳成四个大的部分，<span style="color: black;">包含</span><strong style="color: blue;">Python入门篇 、金融数据篇、量化分析篇和策略回测篇</strong> ，形<span style="color: black;">成为了</span>较为完整的框架体系供<span style="color: black;">大众</span>学习参考。</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><strong style="color: blue;"><span style="color: black;">01 Python入门篇</span></strong></span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">这一部分<span style="color: black;">重点</span>是关于<strong style="color: blue;">Python金融量化入门学习路径、量化资源</strong>，<strong style="color: blue;">以及numpy、pandas、matplotlib等量化常用库的入门和应用</strong>。Python的编译软件有<span style="color: black;">非常多</span>，个人<span style="color: black;"><span style="color: black;"><span style="color: black;">意见</span>安装Anaconda，自带Jupyter notebook和Spyder，其中Jupyter在交互式编程与数据分析上功能<span style="color: black;">非常</span>强大，公众号上所有<span style="color: black;">文案</span>都是基于Jupyter写的。</span></span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><span style="color: black;"><span style="color: black;">首要</span>，结合个人经验分享Python金融量化的学习路径，以及分享Python从入门、进阶、到高阶的学习资料，以及金融投资<span style="color: black;">关联</span>书籍（PDF）。</span></span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">1.1【Python金融量化】零<span style="color: black;">基本</span><span style="color: black;">怎样</span><span style="color: black;">起始</span>学？</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">1.2【<span style="color: black;">举荐</span><span style="color: black;">保藏</span>】倾心整理的Python量化资源大合集</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><span style="color: black;">其次，关于Numpy（数组矩阵）、Pandas（数据处理分析）、Matplotlib（可视化）、Seaborn（可视化）、Sklearn（<span style="color: black;">设备</span>学习）等金融量化常用库的入门和应用。</span></span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">1.3【手把手教你】玩转Python量化金融工具之NumPy</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">1.4【手把手教你】玩转Python金融量化利器之Pandas</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">1.5【<span style="color: black;">意见</span><span style="color: black;">保藏</span>】Matplotlib可视化最有价值的50张图</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">1.6【手把手教你】Seaborn在金融数据可视化中的应</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">1.7【手把手教你】玩转<span style="color: black;">设备</span>学习 Sklearn</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">1.8【手把手教你】股票可视化分析之Pyecharts（一）</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">1.9【手把手教你】股票可视化分析之Pyecharts（二）</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><strong style="color: blue;"><span style="color: black;">02 金融数据篇</span></strong></span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">本部分<span style="color: black;">重点</span>是<span style="color: black;">运用</span>Python获取股票行情、上市<span style="color: black;">机构</span>基本面、宏观经济以及财经<span style="color: black;">资讯</span>等数据，对其进行可视化分析，<span style="color: black;">运用</span><span style="color: black;"><span style="color: black;">Postgresql （sqlite3）搭建本地量化分析数据库，以及<span style="color: black;">怎样</span></span><strong style="color: blue;"><span style="color: black;"><span style="color: black;">运用</span>qstcok免费开源库在线获取行情数据、板块资金流数据、宏观基本面和财经<span style="color: black;">资讯</span>数据</span></strong><span style="color: black;">等</span></span>。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">2.1【手把手教你】Python获取交易数据</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">2.2【Python金融量化】上市<span style="color: black;">机构</span>知多少？</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">2.3 Python量化选股初探</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">2.4 2018你不可不知的十大关键词</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">2.5【手把手教你】Python获取财经数据和可视化分析</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">2.6【文本挖掘】Python带你笑看江湖</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">2.7【Python金融量化】财经<span style="color: black;">资讯</span>文本分析</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">2.8【手把手教你】搭建自己的量化分析数据库</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">2.9【手把手教你】Python面向对象编程入门及股票数据管理应用实例</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">3.0【qstock开源了】数据篇之行情交易数据</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">3.1【qstock量化】数据篇之宏观指标和财经<span style="color: black;">资讯</span>文本</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">3.2【qstock数据篇】行业概念板块与资金流</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><strong style="color: blue;"><span style="color: black;">03 量化分析篇</span></strong></span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">本部分<span style="color: black;">触及</span>内容比较多，<span style="color: black;">包含</span><span style="color: black;">运用</span>Python做对A股市场进行探索性分析，金融统计分析、蒙特卡洛模拟，时间序列建模，Talib技术分析、投资组合、多因子模型分析和基本面量化分析等。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">A股数据探索性分析</strong>：</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">3.1【Python量化】股票分析入门</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">3.2 A股指数图谱：<span style="color: black;">是不是</span>有月份效应？</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">3.3【Python金融量化】A股沉浮启示录</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">3.4【宏观量化】股市趋势与拐点<span style="color: black;">怎样</span>看？</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">3.5 2005-2020年A股数据挖掘：谁是最大的牛股？【附Python分析源码】</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">3.6 <span style="color: black;">设备</span>学习刻画股票市场结构和可视化——以上证50<span style="color: black;">成份</span>股为例</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">3.7【Python量化】股票涨停板探索性分析与数据挖掘</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">时间序列专题：</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">3.8【手把手教你】时间序列之日期处理</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">3.9【Python量化<span style="color: black;">基本</span>】时间序列的自<span style="color: black;">关联</span>性与<span style="color: black;">安稳</span>性</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">3.10</span>【手把手教你】<span style="color: black;">运用</span>Python玩转金融时间序列模型</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">3.11 </span>Python玩转金融时间序列之ARCH与GARCH模型</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">3.12 资产收益率的非<span style="color: black;">安稳</span>性——<span style="color: black;">为么</span><span style="color: black;">设备</span>学习预测效果<span style="color: black;">不良</span>？</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">3.13 基于Markov区制转换模型的股票波动分析</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">3.14【手把手教你】<span style="color: black;">运用</span>Python实现统计套利</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">3.15 股市牛熊兴替——时间序列<span style="color: black;">类似</span>性量化分析</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">TA-Lib与股票技术分析：</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">3.16 【手把手教你】股市技术分析利器之TA-Lib（一）</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">3.17 【手把手教你】股市技术分析利器之TA-Lib（二）</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">3.18 </span>【手把手教你】量价关系分析与Python实现</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">3.19 </span>【手把手教你】Python量化股票市场<span style="color: black;">心情</span>指标ARBR</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">3.20 </span>【手把手教你】动量指标的Python量化回测</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">3.21 【Python量化】<span style="color: black;">怎样</span>利用欧奈尔的RPS寻找强势股？</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">3.22 【手把手教你】Python实现量价形态选股</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">3.23 牛股价量探索性分析与趋势指标可视化</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">3.24【手把手教你】<span style="color: black;">运用</span>Python对股价的Heikin Ashi蜡烛图进行可视化</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">3.25 趋势预测：基于期货未平仓合约、展期和FII/DII指标【附Python源码】</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">3.26【交易系统与<span style="color: black;">办法</span>】价格噪音的量化与应用</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">3.27【交易系统与<span style="color: black;">办法</span>】统计学基本概念与市场分析应用</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">投资组合分析与多因子模型</strong> ：</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">3.28 什么是多因子量化选股模型？</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">3.29 单因子测试框架分享</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">3.30 <span style="color: black;">怎样</span>对选股因子进行量化回测？</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">债券与期权衍生品之QuantLib入门与应用：</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">3.31【手把手教你】固定收益和衍生品分析利器QuantLib入门</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">3.32【手把手教你】<span style="color: black;">运用</span>QuantLib进行债券估值和期权定价分析</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">比特币量化分析：</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">3.33 比特币交易者的<span style="color: black;">行径</span>模式分析【附 Python 源码】</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">基本面量化分析：</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">3.34【手把手教你】<span style="color: black;">运用</span>Python构建股票财务指标打分系统</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">3.35</span> <span style="color: black;">高管增持股价<span style="color: black;">必定</span>会上涨吗？【附Python代码】</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><span style="color: black;">3.36【Python量化】<span style="color: black;">怎样</span>监测领涨板块，挖掘题材龙头股？</span></span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><strong style="color: blue;"><span style="color: black;">04 策略回测篇</span></strong></span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">本部分<span style="color: black;">重点</span>是<span style="color: black;">运用</span>Python分析量化策略的<span style="color: black;">评估</span>指标，指数定投策略、<span style="color: black;">设备</span>学习、海龟交易法则和均值回归策略等，以及专题介绍backtrader回测系统的运用和<strong style="color: blue;"><span style="color: black;">运用</span>qstock进行量化回测</strong>。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">量化交易策略概述及<span style="color: black;">评估</span>指标：</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">4.1 【干货分享】一文讲透量化投资<span style="color: black;">办法</span>论体系</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">4.2 【量化回测】<span style="color: black;">怎样</span>规避陷阱及<span style="color: black;">评估</span>策略？</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">4.3 【手把手教你】Python量化策略<span style="color: black;">危害</span>指标</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">4.4 【手把手教你】<span style="color: black;">运用</span>pyfinance进行证券收益分析</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">4.5 【手把手教你】Python实现基于事件驱动的量化回测</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">4.6 Pyfolio一行代码实现专业量化回测图表</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">构建交易策略并进行简单的量化回测：</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">4.7 Python数说指数定投策略</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">4.8【Python量化】怎么在基金定投上实现收益最大化</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">4.9【手把手教你】<span style="color: black;">运用</span>Logistic回归、LDA和QDA模型预测指数涨跌</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">4.10 【手把手教你】<span style="color: black;">运用</span>RNN深度学习预测股票价格</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">4.11 手把手教你用Python搭建自己的量化回测框架【均值回归策略】</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">4.12【手把手教你】用Python量化海龟交易法则</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">4.13 A股存在月份效应吗？构建月度择时策略【附Python源码】</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">4.14 北向资金能预示大盘涨跌？【附Python源码】</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">4.15【手把手教你】获取股票数据并进行量化回测——基于ADX和MACD趋势策略</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">4.16【量化实战】跟随龙虎榜个股交易能获利吗？</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">4.17【手把手教你】<span style="color: black;">运用</span>qstock进行量化回测</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">4.18【手把手教你】基于均线<span style="color: black;">摆列</span>的价格动量策略回测</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">设备</span>学习与量化交易：</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">4.19【Python量化】<span style="color: black;">运用</span><span style="color: black;">设备</span>学习预测股票交易信号</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">4.20【手把手教你】利用神经网络构建量化交易策略</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">开源回测框架backtrader专题系列：</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">4.21 【手把手教你】入门量化回测最强神器backtrader（一）</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">4.22【手把手教你】入门量化回测最强神器backtrader（二）</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">4.23【手把手教你】入门量化回测最强神器backtrader（三）</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">4.24 backtrader<span style="color: black;">怎样</span>加载股票因子数据？以换手率、市盈率为例进行回测【附Python代码】</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">4.25 <span style="color: black;">怎样</span>用backtrader对股票组合进行量化回测？</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">4.26【手把手教你】用backtrader量化回测海龟交易策略</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">4.27 backtrader股票技术指标自定义与量化回测</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">4.28【手把手教你】Ichimoku云图指标可视化与交易策略回测</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">4.29【backtrader回测】隔夜持仓 VS 日内交易</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><strong style="color: blue;"><span style="color: black;">结语</span></strong></span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">一切过往，皆为序章。最后以曾国藩的人生感言<span style="color: black;">做为</span>结语，“<strong style="color: blue;">物来顺应，<span style="color: black;">将来</span>不迎，当时不杂，既过不恋</strong>”。</p>
顶楼主，说得太好了！ 楼主节操掉了，还不快捡起来！ 我完全同意你的看法，期待我们能深入探讨这个问题。 这篇文章真的让我受益匪浅，外链发布感谢分享！
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