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Title: GitHub - englianhu/binary.com-interview-question: 次元期权应征面试题范例。 #易经 #道家 #十二生肖 #姓氏堂号子嗣贞节牌坊 #天文历法 #张灯结彩 #农历 #夜观星象 #廿四节气 #算卜 #紫微斗数 #十二时辰 #生辰八字 #命运 #风水 《始祖赢政之子赢家黄氏江夏堂联富•秦谏——大秦赋》 万般皆下品，唯有读书高。🚩🇨🇳🏹🦔中科红旗，歼灭所有世袭制可兰经法家回教徒巫贼巫婆、洋番、峇峇娘惹。https://gitee.com/englianhu · GitHub

Open Graph Title: GitHub - englianhu/binary.com-interview-question: 次元期权应征面试题范例。 #易经 #道家 #十二生肖 #姓氏堂号子嗣贞节牌坊 #天文历法 #张灯结彩 #农历 #夜观星象 #廿四节气 #算卜 #紫微斗数 #十二时辰 #生辰八字 #命运 #风水 《始祖赢政之子赢家黄氏江夏堂联富•秦谏——大秦赋》 万般皆下品，唯有读书高。🚩🇨🇳🏹🦔中科红旗，歼灭所有世袭制可兰经法家回教徒巫贼巫婆、洋番、峇峇娘惹。https://gitee.com/englianhu

X Title: GitHub - englianhu/binary.com-interview-question: 次元期权应征面试题范例。 #易经 #道家 #十二生肖 #姓氏堂号子嗣贞节牌坊 #天文历法 #张灯结彩 #农历 #夜观星象 #廿四节气 #算卜 #紫微斗数 #十二时辰 #生辰八字 #命运 #风水 《始祖赢政之子赢家黄氏江夏堂联富•秦谏——大秦赋》 万般皆下品，唯有读书高。🚩🇨🇳🏹🦔中科红旗，歼灭所有世袭制可兰经法家回教徒巫贼巫婆、洋番、峇峇娘惹。https://gitee.com/englianhu

Description: 次元期权应征面试题范例。 #易经 #道家 #十二生肖 #姓氏堂号子嗣贞节牌坊 #天文历法 #张灯结彩 #农历 #夜观星象 #廿四节气 #算卜 #紫微斗数 #十二时辰 #生辰八字 #命运 #风水 《始祖赢政之子赢家黄氏江夏堂联富•秦谏——大秦赋》 万般皆下品，唯有读书高。🚩🇨🇳🏹🦔中科红旗，歼灭所有世袭制可兰经法家回教徒巫贼巫婆、洋番、峇峇娘惹。https://gitee.com/englianhu - englianhu/binary.com-interview-question

Open Graph Description: 次元期权应征面试题范例。 #易经 #道家 #十二生肖 #姓氏堂号子嗣贞节牌坊 #天文历法 #张灯结彩 #农历 #夜观星象 #廿四节气 #算卜 #紫微斗数 #十二时辰 #生辰八字 #命运 #风水 《始祖赢政之子赢家黄氏江夏堂联富•秦谏——大秦赋》 万般皆下品，唯有读书高。🚩🇨🇳🏹🦔中科红旗，歼灭所有世袭制可兰经法家回教徒巫贼巫婆、洋番、峇峇娘惹。https://gitee.com/englia...

X Description: 次元期权应征面试题范例。 #易经 #道家 #十二生肖 #姓氏堂号子嗣贞节牌坊 #天文历法 #张灯结彩 #农历 #夜观星象 #廿四节气 #算卜 #紫微斗数 #十二时辰 #生辰八字 #命运 #风水 《始祖赢政之子赢家黄氏江夏堂联富•秦谏——大秦赋》 万般皆下品，唯有读书高。🚩🇨🇳🏹🦔中科红旗，歼灭所有世袭制可兰经法家回教徒巫贼巫婆、洋番、峇峇娘惹。https://gitee.com/englia...

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林燕芳（中学乘搭韵祯校车的隔壁校私立丹绒学妹，行不改名坐不改姓，或自个儿侄女黄筱婕）https://github.com/englianhu/binary.com-interview-question/tree/%E4%B8%96%E5%8D%9A%E9%87%8F%E5%8C%96%E7%A0%94%E7%A9%B6%E9%99%A2/%E6%9E%97%E7%87%95%E8%8A%B3%EF%BC%88%E4%B8%AD%E5%AD%A6%E4%B9%98%E6%90%AD%E9%9F%B5%E7%A5%AF%E6%A0%A1%E8%BD%A6%E7%9A%84%E9%9A%94%E5%A3%81%E6%A0%A1%E7%A7%81%E7%AB%8B%E4%B8%B9%E7%BB%92%E5%AD%A6%E5%A6%B9%EF%BC%8C%E8%A1%8C%E4%B8%8D%E6%94%B9%E5%90%8D%E5%9D%90%E4%B8%8D%E6%94%B9%E5%A7%93%EF%BC%8C%E6%88%96%E8%87%AA%E4%B8%AA%E5%84%BF%E4%BE%84%E5%A5%B3%E9%BB%84%E7%AD%B1%E5%A9%95%EF%BC%89
林燕芳（中学乘搭韵祯校车的隔壁校私立丹绒学妹，行不改名坐不改姓，或自个儿侄女黄筱婕）https://github.com/englianhu/binary.com-interview-question/tree/%E4%B8%96%E5%8D%9A%E9%87%8F%E5%8C%96%E7%A0%94%E7%A9%B6%E9%99%A2/%E6%9E%97%E7%87%95%E8%8A%B3%EF%BC%88%E4%B8%AD%E5%AD%A6%E4%B9%98%E6%90%AD%E9%9F%B5%E7%A5%AF%E6%A0%A1%E8%BD%A6%E7%9A%84%E9%9A%94%E5%A3%81%E6%A0%A1%E7%A7%81%E7%AB%8B%E4%B8%B9%E7%BB%92%E5%AD%A6%E5%A6%B9%EF%BC%8C%E8%A1%8C%E4%B8%8D%E6%94%B9%E5%90%8D%E5%9D%90%E4%B8%8D%E6%94%B9%E5%A7%93%EF%BC%8C%E6%88%96%E8%87%AA%E4%B8%AA%E5%84%BF%E4%BE%84%E5%A5%B3%E9%BB%84%E7%AD%B1%E5%A9%95%EF%BC%89
林珍妮（明智国民华校女同学）https://github.com/englianhu/binary.com-interview-question/tree/%E4%B8%96%E5%8D%9A%E9%87%8F%E5%8C%96%E7%A0%94%E7%A9%B6%E9%99%A2/%E6%9E%97%E7%8F%8D%E5%A6%AE%EF%BC%88%E6%98%8E%E6%99%BA%E5%9B%BD%E6%B0%91%E5%8D%8E%E6%A0%A1%E5%A5%B3%E5%90%8C%E5%AD%A6%EF%BC%89
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校花神仙姐姐苏丽欣（中学乘搭韵祯校车的隔壁校私立丹绒学姐，行不改名坐不改姓）https://github.com/englianhu/binary.com-interview-question/tree/%E4%B8%96%E5%8D%9A%E9%87%8F%E5%8C%96%E7%A0%94%E7%A9%B6%E9%99%A2/%E6%A0%A1%E8%8A%B1%E7%A5%9E%E4%BB%99%E5%A7%90%E5%A7%90%E8%8B%8F%E4%B8%BD%E6%AC%A3%EF%BC%88%E4%B8%AD%E5%AD%A6%E4%B9%98%E6%90%AD%E9%9F%B5%E7%A5%AF%E6%A0%A1%E8%BD%A6%E7%9A%84%E9%9A%94%E5%A3%81%E6%A0%A1%E7%A7%81%E7%AB%8B%E4%B8%B9%E7%BB%92%E5%AD%A6%E5%A7%90%EF%BC%8C%E8%A1%8C%E4%B8%8D%E6%94%B9%E5%90%8D%E5%9D%90%E4%B8%8D%E6%94%B9%E5%A7%93%EF%BC%89
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中国外交的起源——试论春秋时期周王室和诸侯国的性质.pdfhttps://github.com/englianhu/binary.com-interview-question/blob/%E4%B8%96%E5%8D%9A%E9%87%8F%E5%8C%96%E7%A0%94%E7%A9%B6%E9%99%A2/%E4%B8%AD%E5%9B%BD%E5%A4%96%E4%BA%A4%E7%9A%84%E8%B5%B7%E6%BA%90%E2%80%94%E2%80%94%E8%AF%95%E8%AE%BA%E6%98%A5%E7%A7%8B%E6%97%B6%E6%9C%9F%E5%91%A8%E7%8E%8B%E5%AE%A4%E5%92%8C%E8%AF%B8%E4%BE%AF%E5%9B%BD%E7%9A%84%E6%80%A7%E8%B4%A8.pdf
中国外交的起源——试论春秋时期周王室和诸侯国的性质.pdfhttps://github.com/englianhu/binary.com-interview-question/blob/%E4%B8%96%E5%8D%9A%E9%87%8F%E5%8C%96%E7%A0%94%E7%A9%B6%E9%99%A2/%E4%B8%AD%E5%9B%BD%E5%A4%96%E4%BA%A4%E7%9A%84%E8%B5%B7%E6%BA%90%E2%80%94%E2%80%94%E8%AF%95%E8%AE%BA%E6%98%A5%E7%A7%8B%E6%97%B6%E6%9C%9F%E5%91%A8%E7%8E%8B%E5%AE%A4%E5%92%8C%E8%AF%B8%E4%BE%AF%E5%9B%BD%E7%9A%84%E6%80%A7%E8%B4%A8.pdf
大秦赋 - 北京大学.pnghttps://github.com/englianhu/binary.com-interview-question/blob/%E4%B8%96%E5%8D%9A%E9%87%8F%E5%8C%96%E7%A0%94%E7%A9%B6%E9%99%A2/%E5%A4%A7%E7%A7%A6%E8%B5%8B%20-%20%E5%8C%97%E4%BA%AC%E5%A4%A7%E5%AD%A6.png
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READMEhttps://github.com/englianhu/binary.com-interview-question
GPL-3.0 licensehttps://github.com/englianhu/binary.com-interview-question
https://github.com/englianhu/binary.com-interview-question/blob/%E4%B8%96%E5%8D%9A%E9%87%8F%E5%8C%96%E7%A0%94%E7%A9%B6%E9%99%A2/诸子百家考工记/世博量化.png
https://github.com/englianhu/binary.com-interview-question/blob/%E4%B8%96%E5%8D%9A%E9%87%8F%E5%8C%96%E7%A0%94%E7%A9%B6%E9%99%A2/诸子百家考工记/大秦赋 - 北京大学.png
https://github.com/englianhu/binary.com-interview-question/blob/%E4%B8%96%E5%8D%9A%E9%87%8F%E5%8C%96%E7%A0%94%E7%A9%B6%E9%99%A2/诸子百家考工记/binary-logo.png
https://www.chinaredflag.cn
https://englianhu.wordpress.com
https://gitee.com/englianhu
https://www.pku.edu.cn
https://github.com/englianhu/binary.com-interview-question#春秋战国诸子百家
https://github.com/englianhu/binary.com-interview-question#儿童史
https://github.com/englianhu/binary.com-interview-question/blob/%E4%B8%96%E5%8D%9A%E9%87%8F%E5%8C%96%E7%A0%94%E7%A9%B6%E9%99%A2
https://github.com/englianhu/binary.com-interview-question#阴阳师
齐国三邹https://m.sohu.com/a/414825485_99988073
「问百度」邹衍https://baike.baidu.com/item/%E9%82%B9%E8%A1%8D/43532
https://github.com/englianhu/binary.com-interview-question#次元期权创办人
「英文名」Jean-Yves的基本信息https://yingwenming.com/meaning/Jean-Yves
「翻译网」jean-yveshttps://context.reverso.net/%E7%BF%BB%E8%AF%91/%E8%8B%B1%E8%AF%AD-%E4%B8%AD%E6%96%87/jean-yves
https://github.com/englianhu/binary.com-interview-question#次元期权binarycom量化分析员量化交易员面试题
1https://github.com/englianhu/binary.com-interview-question#user-content-fn-1-4b8c0a454ee681e63dae4b7ad5af3908
「快懂百科」《礼记•经解》https://www.baike.com/wikiid/2225522569881832051?view_id=2tt3iw3blkq000
第一范文网：差之毫厘，谬以千里的故事https://www.diyifanwen.com/chengyu/liuziyishangchengyugushi/2010051523105152347092749890.htm
「百度百科」春秋时期孔子作品《礼记•经解》https://baike.baidu.com/item/%E7%A4%BC%E8%AE%B0%C2%B7%E7%BB%8F%E8%A7%A3/2523092
「當代中國」差之毫釐 謬以千里https://www.ourchinastory.com/zh/2962/%E5%B7%AE%E4%B9%8B%E6%AF%AB%E9%87%90%20%E8%AC%AC%E4%BB%A5%E5%8D%83%E9%87%8C
https://github.com/englianhu/binary.com-interview-question#面试题
https://matchodds.orghttps://matchodds.org
硕士程度量化作业（英）https://github.com/englianhu/Quant-Strategies-HFT
https://github.com/englianhu/binary.com-interview-question#第一题
https://github.com/englianhu/binary.com-interview-question#第一题第一章解答
混频抽样回归https://zhuanlan.zhihu.com/p/343307253
MIDAS：混频数据回归https://www.lianxh.cn/news/8ab193e6f04cc.html
次元期权面试题一（英）http://rpubs.com/englianhu/binary-Q1
旧链接https://englianhu.github.io/2017/09/binary-forex-trading-Q1.html
备用网址http://rpubs.com/englianhu/binary-forex-trading-Q1
备用网址二（添加均方误差，比较计数/机数模型的精准度）http://rpubs.com/englianhu/binary-Q1-Added
次元期权面试题一 - 延伸版（英）http://rpubs.com/englianhu/binary-Q1E
备用网址http://rpubs.com/englianhu/316133
广义自回归条件异方差模型中的ARIMA(p,d,q)参数最优化http://rpubs.com/englianhu/binary-Q1FiGJRGARCH
次元期权面试试题一 - 广义自回归条件异方差模型中的ARCH in Meanhttp://rpubs.com/englianhu/binary-Q1-archm
次元期权面试题一 - 单变量广义自回归条件异方差模型（英）http://rpubs.com/englianhu/binary-Q1Uni-GARCH
Q1Apphttps://beta.rstudioconnect.com/content/3073
Q1App2https://beta.rstudioconnect.com/content/3138
次元期权面试题一 - 多变量广义自回归条件异方差模型（英）http://rpubs.com/englianhu/binary-Q1Multi-GARCH
「鄀客栈」次元期权面试试题一 - 单变量数据缺失值管理http://rpubs.com/englianhu/handle-missing-value
「鄀客栈」次元期权面试试题一 - 多变量数据缺失值管理（乙）http://rpubs.com/englianhu/handle-multivariate-missing-value
次元期权面试题一 - 日间高频交易计数/机数建模比较（英）http://rpubs.com/englianhu/binary-Q1Inter-HFT
https://github.com/englianhu/binary.com-interview-question#第一题第二章幕后花絮
闪霓应用（ShinyApp）https://beta.rstudioconnect.com/content/2367
「鄀客栈」binary.com Interview Question I - Lasso, Elastic-Net and Ridge Regressionhttp://rpubs.com/englianhu/binary-Q1L-EN-R
解密复兴科技 - 基于隐蔽马尔科夫模型的时序分析方法https://github.com/scibrokes/odds-modelling-and-testing-inefficiency-of-sports-bookmakers/blob/%E4%B8%96%E5%8D%9A%E9%87%8F%E5%8C%96%E7%A0%94%E7%A9%B6%E9%99%A2/%E5%9B%BE%E4%B9%A6%E9%A6%86/%E8%A7%A3%E5%AF%86%E5%A4%8D%E5%85%B4%E7%A7%91%E6%8A%80%20-%20%E5%9F%BA%E4%BA%8E%E9%9A%90%E8%94%BD%E9%A9%AC%E5%B0%94%E7%A7%91%E5%A4%AB%E6%A8%A1%E5%9E%8B%E7%9A%84%E6%97%B6%E5%BA%8F%E5%88%86%E6%9E%90%E6%96%B9%E6%B3%95.pdf
https://github.com/englianhu/binary.com-interview-question/blob/%E4%B8%96%E5%8D%9A%E9%87%8F%E5%8C%96%E7%A0%94%E7%A9%B6%E9%99%A2/诸子百家考工记/20170113_104005.gif
testRealTimeTranschttps://beta.rstudioconnect.com/content/3775
Q1App2https://beta.rstudioconnect.com/content/3138
Binary.com Interview Q1 - Tick-Data-HiLo For Daily Trading (Blooper)http://rpubs.com/englianhu/binary-Q1TD
https://github.com/englianhu/binary.com-interview-question#第一题第三章闪霓应用
https://github.com/englianhu/binary.com-interview-question#第二题
https://github.com/englianhu/binary.com-interview-question#第二题第一章解答
Q2Apphttps://beta.rstudioconnect.com/content/3089
https://github.com/englianhu/binary.com-interview-question#第二题第二章闪霓应用
排队论（运筹学理论）https://baike.baidu.com/item/%E6%8E%92%E9%98%9F%E8%AE%BA/938889
https://github.com/englianhu/binary.com-interview-question#第三题
Betting strategyhttp://rpubs.com/englianhu/317677
https://github.com/englianhu/binary.com-interview-question#参考资源
https://github.com/englianhu/binary.com-interview-question#第四题第一章第一题
Stock Market Forecasting Using LASSO Linear Regression Model by Sanjiban Sekhar Roy, Dishant Mital, Avik Basu, Ajith Abraham (2015)https://raw.githubusercontent.com/englianhu/binary.com-interview-question/master/reference/Stock%20Market%20Forecasting%20Using%20LASSO%20Linear%20Regression%20Model.pdf
Using LASSO from lars (or glmnet) package in R for variable selection by Juancentro (2014)http://stats.stackexchange.com/questions/58531/using-lasso-from-lars-or-glmnet-package-in-r-for-variable-selection?answertab=votes#tab-top
Difference between glmnet() and cv.glmnet() in R? by Amrita Sawant (2015)https://stackoverflow.com/questions/29311323/difference-between-glmnet-and-cv-glmnet-in-r?answertab=votes#tab-top
Testing Kelly Criterion and Optimal f in R by Roy Wei (2012)https://alphaism.wordpress.com/2012/04/13/testing-kelly-criterion-and-optimal-f-in-r
Portfolio Optimization and Monte Carlo Simulation by Magnus Erik Hvass Pedersen (2014)https://raw.githubusercontent.com/scibrokes/kelly-criterion/master/references/Portfolio%20Optimization%20and%20Monte%20Carlo%20Simulation.pdf
Glmnet Vignette by Trevor Hastie and Junyang Qian (2014)https://web.stanford.edu/~hastie/glmnet/glmnet_alpha.html
lasso怎么用算法实现？ by shuaihuang (2010)https://d.cosx.org/d/101533-101533/5
The Sparse Matrix and {glmnet} by Manuel Amunategui (2014)http://amunategui.github.io/sparse-matrix-glmnet/
Regularization and Variable Selection via the Elastic Net by Hui Zou and Trevor Hastiehttps://raw.githubusercontent.com/englianhu/binary.com-interview-question/master/reference/Regularization%20and%20Variable%20Selection%20via%20the%20Elastic%20Net.pdf
LASSO, Ridge, and Elastic Nethttp://www4.stat.ncsu.edu/~post/josh/LASSO_Ridge_Elastic_Net_-_Examples.html
热门数据挖掘模型应用入门（一）: LASSO回归 by 侯澄钧 (2016)https://cosx.org/2016/10/data-mining-1-lasso
The Lasso Pagehttp://statweb.stanford.edu/~tibs/lasso.html
Call_Valuation.R by Mariano (2016)https://api.rpubs.com/Mariano/call
Lecture 6 – Stochastic Processes and Monte Carlohttp://zorro-trader.com/manual/en/Lecture%206.htm
http://zorro-trader.com/manualhttp://zorro-trader.com/manual
The caret Package by Max Kuhn (2017)http://topepo.github.io/caret/index.html
Time Series Cross Validationhttps://rpubs.com/crossxwill/time-series-cv
Character-Code.comhttp://character-code.com/
Size Matters – Kelly Optimization by Roy Wei (2012)https://alphaism.wordpress.com/2012/03/26/size-matters-kelly-optimization/
Time Series Cross Validation by William Chiu (2015)https://rpubs.com/crossxwill/time-series-cv
Forecasting Volatility by Stephen Figlewski (2004)https://raw.githubusercontent.com/englianhu/binary.com-interview-question/fcad2844d7f10c486f3601af9932f49973548e4b/reference/Focasting%20Volatility.pdf
Successful Algorithmic Trading by Michael Halls Moore (2015)https://raw.githubusercontent.com/englianhu/binary.com-interview-question/fcad2844d7f10c486f3601af9932f49973548e4b/reference/Successful%20Algorithmic%20Trading.pdf
Financial Risk Modelling and Portfolio Optimization with R (2nd Edt) by Bernhard Praff (2016)https://raw.githubusercontent.com/englianhu/binary.com-interview-question/master/reference/Financial%20Risk%20Modelling%20and%20Portfolio%20Optimization%20with%20R%20(2nd%20Edt).pdf
Analyzing Financial Data and Implementing Financial Models using R by Clifford S.Ang (2015)https://raw.githubusercontent.com/englianhu/binary.com-interview-question/eec3bbe99c61b4e2e2f4a2b1c47e7a2fca6106c4/reference/Analyzing%20Financial%20Data%20and%20Implementing%20Financial%20Models%20using%20R.pdf
https://github.com/englianhu/binary.com-interview-question#第四题第二章第二题
Queueing model 534 in Excelhttps://github.com/englianhu/binary.com-interview-question/blob/master/reference/Queue-534.xls
Queueing model macro in Excelhttps://github.com/englianhu/binary.com-interview-question/blob/master/reference/QueueMacros.xls
Queueing up in R, (continued)https://www.r-bloggers.com/queueing-up-in-r-continued
Waiting in line, waiting on Rhttps://www.r-bloggers.com/waiting-in-line-waiting-on-r
Simulating a Queue in Rhttps://www.r-bloggers.com/simulating-a-queue-in-r/
What is the queue data structure in R?https://www.researchgate.net/post/What_is_the_queue_data_structure_in_R#59d5b01b404854fdc9168902
Implementing a Queue as a Reference Classhttps://www.r-bloggers.com/implementing-a-queue-as-a-reference-class/
queue implementation?http://r.789695.n4.nabble.com/queue-implementation-td2529272.html
Queueing Theory Calculatorhttp://www.supositorio.com/rcalc
The Pith of Performance by Neil Gunther (2010)http://perfdynamics.blogspot.my/2010/05/simulating-queue-in-r.html?m=1
Computationally Efficient Simulation of Queues - The R Package queuecomputerhttps://raw.githubusercontent.com/englianhu/binary.com-interview-question/master/reference/Computationally%20Efficient%20Simulation%20of%20Queues%20-%20The%20R%20Package%20queuecomputer.pdf
Waiting-Line Modelshttps://raw.githubusercontent.com/englianhu/binary.com-interview-question/master/reference/Waiting-Line%20Models.pdf
Queues with Breakdowns and Customer Discouragementhttps://raw.githubusercontent.com/englianhu/binary.com-interview-question/master/reference/Queues%20with%20Breakdowns%20and%20Customer%20Discouragement.pdf
https://github.com/englianhu/binary.com-interview-question#第四题第三章第三题
Data APIs/feeds available as packages in Rhttp://stats.stackexchange.com/questions/12670/data-apis-feeds-available-as-packages-in-r
Application of Kelly Criterion model in Sportsbook Investmenthttps://github.com/scibrokes/kelly-criterion
https://github.com/englianhu/binary.com-interview-question/blob/%E4%B8%96%E5%8D%9A%E9%87%8F%E5%8C%96%E7%A0%94%E7%A9%B6%E9%99%A2/诸子百家考工记/deriv.png
https://www.chinaredflag.cn
https://englianhu.wordpress.com
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https://www.pku.edu.cn
https://github.com/englianhu/binary.com-interview-question#量化交易
https://github.com/englianhu/binary.com-interview-question#一简介
Binary.com is Rebranding to Deriv.comhttps://derivdotcom.medium.com/binary-com-is-rebranding-to-deriv-com-and-here-is-everything-you-need-to-know-6f4a8513c84b
二元期权/次元期权（Binary.com） → 金融衍生/金融起源（Deriv.com）https://englianhu.medium.com/binary-com-deriv-com-6058cdbfc3a1
金融衍生/金融起源（Deriv.com）和次元期权（Binary.com）加入金融委员会https://caifuhao.eastmoney.com/news/20200609155259637111910
猫城：世博量化/FXCM 量化对冲实时数据https://github.com/scibrokes/real-time-fxcm
「数据仓库」次元期权（binary.com）量化分析员/量化交易员面试题https://github.com/englianhu/binary.com-interview-question-data
Deriv.com - Interday High Frequency Trading Models Comparison Review (Part I)https://rpubs.com/englianhu/binary-Q1Inter-HFT-RV1
备用网址https://beta.rstudioconnect.com/content/16240/binary-Q1Inter-HFT-RV1.html
Deriv.com - Interday & Intraday High Frequency Trading Models Comparison Review (Part II)https://rpubs.com/englianhu/742275
备用网址https://beta.rstudioconnect.com/content/16442/binary-Q1Inter-HFT-RV2.html
金融衍生 - 筛选日内高频量化交易统计模型 （第III部）https://rpubs.com/englianhu/HFT-RV3
金融衍生 - 筛选日内高频量化交易计数模型 **第三部∙乙（春秋战国《晏子春秋》——总结平滑指数尤物）https://englianhu.github.io/%E6%B0%91%E5%9B%BD%E4%B8%80%E7%99%BE%E4%B8%80%E5%8D%81%E4%B8%89%E5%B9%B4%EF%BC%88%E7%94%B2%E8%BE%B0%E5%B9%B4%EF%BC%89/%E5%AF%92%E6%9C%88/binary-Q1Inter-HFT-RV3E.html
解密复兴科技 - 基于隐蔽马尔科夫模型的时序分析方法https://github.com/scibrokes/odds-modelling-and-testing-inefficiency-of-sports-bookmakers/blob/%E4%B8%96%E5%8D%9A%E9%87%8F%E5%8C%96%E7%A0%94%E7%A9%B6%E9%99%A2/%E5%9B%BE%E4%B9%A6%E9%A6%86/%E8%A7%A3%E5%AF%86%E5%A4%8D%E5%85%B4%E7%A7%91%E6%8A%80%20-%20%E5%9F%BA%E4%BA%8E%E9%9A%90%E8%94%BD%E9%A9%AC%E5%B0%94%E7%A7%91%E5%A4%AB%E6%A8%A1%E5%9E%8B%E7%9A%84%E6%97%B6%E5%BA%8F%E5%88%86%E6%9E%90%E6%96%B9%E6%B3%95.pdf
解读量化投资 - 西蒙斯用公式打败市场的故事https://github.com/scibrokes/odds-modelling-and-testing-inefficiency-of-sports-bookmakers/blob/%E4%B8%96%E5%8D%9A%E9%87%8F%E5%8C%96%E7%A0%94%E7%A9%B6%E9%99%A2/%E5%9B%BE%E4%B9%A6%E9%A6%86/%E8%A7%A3%E8%AF%BB%E9%87%8F%E5%8C%96%E6%8A%95%E8%B5%84%20-%20%E8%A5%BF%E8%92%99%E6%96%AF%E7%94%A8%E5%85%AC%E5%BC%8F%E6%89%93%E8%B4%A5%E5%B8%82%E5%9C%BA%E7%9A%84%E6%95%85%E4%BA%8B.pdf
https://github.com/englianhu/binary.com-interview-question#二幕后花絮
Deriv.com - Interday High Frequency Trading Models Comparison (Blooper)https://rpubs.com/englianhu/binary-Q1Inter-HFT
Sςιβrοκεrs Trαdιηg®http://www.scibrokes.com
世博量化®http://www.scibrokes.com
HTML Color Codeshttps://html-color.codes
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acdhttps://github.com/topics/acd
arimahttps://github.com/topics/arima
bayesianhttps://github.com/topics/bayesian
bettinghttps://github.com/topics/betting
daohttps://github.com/topics/dao
daojiaohttps://github.com/topics/daojiao
elastic-nethttps://github.com/topics/elastic-net
etshttps://github.com/topics/ets
garchhttps://github.com/topics/garch
investmenthttps://github.com/topics/investment
investment-portfoliohttps://github.com/topics/investment-portfolio
investment-strategieshttps://github.com/topics/investment-strategies
kelly-criterionhttps://github.com/topics/kelly-criterion
lasso-regressionhttps://github.com/topics/lasso-regression
markowitz-portfoliohttps://github.com/topics/markowitz-portfolio
mcmchttps://github.com/topics/mcmc
qinrenhttps://github.com/topics/qinren
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