量化好声音
宽粉_zZVQ量化好声音，每晚都要听！ 欢迎大家来到[匡醍·量化好声音] 量化人的有声杂志 主播:Flora和Aaron 每周一到两期量化深度内容分享 在路上 在厨房 在睡前 抓住碎片化时间 保持链接 随时学习
| Publishes | Daily | Episodes | 44 | Founded | 5 months ago |
|---|---|---|---|---|---|
| Language |  ZH-CN | Number of Listeners | Category | Technology |
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Latest Episodes
“10送10派10”后，你的股票市值会翻倍吗？
本期播客我们将探讨：
1）为何公司要派股派息？
2）除权除息如何扭曲K线图？
3）量化回测中的“复权”概念是什么？
4）前复权与后复权有何区别？
5）加减法复权与比例法复权有何区别？
【在这里找到我们】
wechat：quantfans_99（加「听友群」、咨询「量化课程」请加）
微信公众号：Quantide量化风云
小红书：Quantide
知乎：匡醍量化
bilibili：Quantide
量化两大 “门派”——P-Quant 与 Q-Quant，恰似武侠小说中的 “剑宗与气宗”，围绕 “真实概率测度” 与 “风险中性测度” 展开核心较量！
衍生品定价、FICC、风控等，正是 Q-Quant 的主场；而我们常聊的多因子选股、高频交易、超额收益 α，则是 P-Quant 的战场。
P-Quant 扎根买方（对冲基金、私募），信奉 “市场无效”，靠历史数据刻画真实概率，从海量信息中预测资产走势，捕捉被低估的赚钱机会；Q-Quant 立足卖方（投行、券商），坚守 “无套利” 底线，用... more
本文聚焦与 “打板” 逆向的量化交易策略 —— 首板低开策略，深度拆解其核心逻辑与实战价值。该策略以 “首板涨停 + 60 日相对低位 + 次日低开 3-4%” 为核心筛选条件，搭配开盘买入、日内分时段止盈清仓的短线规则，2019 年底至 2025 年 10 月回测实现 826.68% 总收益、48.61% 年化收益，最大回撤仅 27.05%。
其核心优势在于近乎零相关的贝塔值（0.06）与高达 0.447 的阿尔法值，实现独立于大盘的超额收益，相较沪深 300 近 10 年 3.97% 的年... more
97.12% 量化人都在用 Python！
但让这门 “量化母语” 真正落地的，是 NumPy 与 Pandas 这对 “黄金搭档”—— 它们在数据分析领域的渗透率超过64%！不仅如此，他们还是 alphalens、vnpy 等主流工具的底层核心。NumPy 靠高效计算撑起海量数据运算，Pandas 用标签、时间序列功能让金融数据处理变简单，两者缺一不可。
想避开空洞语法，直接掌握量化实战技巧？《量化人的 NumPy 和 Pandas》这门课程扎根真实场景，拆解源码、规避踩坑，现在仅需「99... more
Chart Rankings
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Apple Podcasts | #111 | China/Technology |
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| Listeners per Episode | Gender Skew | Location | |||
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量化好声音 launched 5 months ago and published 44 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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