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🗒️Python 量化交易工程师养成实战-金融高薪领域
00 分钟
2024-10-15
2024-10-16
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一、 初识量化交易-必知的量化交易基础
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交易分类
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量化开发流程
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不要一直优化下去
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量化交易分类-交易产品
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量化交易分类-盈利模式
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量化交易分类-策略信号
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二、进军量化交易开发第一课-基本的股票交易维度和概念
股票投资的好处
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金融标的投资风险与收益
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股票的分类
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股票的行业分类
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影响股价的因素
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股票交易基础知识
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选股
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择时
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量化平台
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三、Numpy
四、pandas
五、Matplotlib
六、量化策略编写-Python量化交易编程第一步
策略框架
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设置函数
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定时函数
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交易函数
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交易对象
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策略信息
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账户信息
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七、量化交易的前提-Python量化交易数据获取
财务数据
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成份股
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标的信息
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交易数据
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龙虎榜指每日两市中涨跌幅换手率等由大到小的排名榜单,并从中可以看到龙虎榜单中的股票在哪个证券营业部的成交量较大。
八、股市投资第一步-Python基本面量化选股iclass=n
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营收因子选股
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财务因子选股
规模类因子选股
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质量类因子选股
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九、Python量化择时--技术指标函数
量化择时
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趋向指标
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反趋向指标
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压力支撑
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量价指标
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十、Python量化交易--策略回测实现
回测流程
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macd 指标量化策略
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风险指标
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十一、因子分析
因子分析概述
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自定义因子
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因子分析结果
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alpha因子
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十二、策略實戰
双均线策略
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KDJ策略
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MA-RSI
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能量型买卖策略
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BOLL量化策略
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新能源股票轮动
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低估值量化交易策略
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大小盘轮动策略
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逆向三因子量化策略
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