量化Python数据分析
53 videos • 1,450 views • by New Horizon Wisdom Tech
1
课时01 认识量化数据分析
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2
课时02 搭建量化研究环境
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3
课时03 第一个研究任务
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4
课时04 回顾jupyter Notebook
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5
课时05 IPython命令行
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6
课时06 强大的Jupyter魔术命令
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7
课时07 金融市场数据概况
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8
课时08 上手REST API
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9
课时09 A股日线数据获取
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10
课时10–币圈行情数据获取
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11
课时11 分段下载连续数据
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12
课时12 初识NumPy
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13
课时13 ndarray数组对象
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14
课时14 向量化运算函数
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15
课时15 数组进阶编程
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16
课时16 计算大盘的双均线
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17
课时17 Series和DataFrame
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18
课时18–索引和切片
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19
课时19–最常用的CSV数据格式
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20
课时20–期货分钟数据获取
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21
课时21–常用统计指标计算
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22
课时22–准备MySQL数据库
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23
课时23 SQL数据库交互
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24
课时24 处理缺失的数值
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25
课时25–数据清洗转换
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26
课时26 向量化字符串操作
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27
课时27 CTA回测结果分析
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28
课时28 深入逐笔对冲分析
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29
课时29 Plotly基础
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30
课时30–自定义图形效果
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31
课时31–柱形图和散点图
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32
课时32 深入分析CTA资金曲线
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33
课时33 3D曲面图
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34
课时34 寻找参数优化的平原
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35
课时35 GroupBy聚合机制
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36
课时36 什么是TimeSeries
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37
课时37 时间序列基础
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38
课时38–操作日期时间类型
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39
课时39 时间的范围和偏移
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40
课时40 全球时区处理
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41
课时41 Resample重新采样
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42
课时42 自定义K线周期绘图
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43
课时43–滚动窗口计算
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44
课时44 滚动计算技术指标
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45
课时45 statsmodels统计模型库01
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46
课时46 构建期货跨期价差
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47
课时47 跨期价差特征分析
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48
课时48–价差统计套利策略
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49
课时49–统计套利策略回测
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50
课时50–课程总结
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51
课时 51实践课1 MACD交易策略逻辑
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52
课时 52实践课2 实现一行代码的回测
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53
课时 53实践课3 参数优化和批量运行
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