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@@ -12,111 +12,137 @@ VC OLS,https://github.com/fionawhitefield/venture-capital-ols/blob/master/sec_pr
Blockchain,https://github.com/nud3l/dInvest,Repository for distributed autonomous investment banking.,Alternative Finance,2021-02-06 07:38:28,12.0,7.0,2.0,2016-09-05 19:12:40,2017-04-24 10:48:56,nud3l/dInvest,inactive,,
Private Equity,https://github.com/TheVinhLuong102/ChicagoBooth-EntrepreneurialFinancePrivateEquity/blob/master/RightNow%20Technologies/RightNow%20Technologies.ipynb,Valuation models.,Alternative Finance,2020-11-26 03:34:45,8.0,6.0,2.0,2016-01-27 21:13:33,2016-03-14 20:03:52,TheVinhLuong102/ChicagoBooth-EntrepreneurialFinancePrivateEquity,inactive,,
pitch-deck,https://github.com/joelparkerhenderson/pitch-deck,NEW,Alternative Finance,2021-07-02 16:59:44,166.0,43.0,2.0,2016-09-17 01:30:26,2021-05-19 19:49:27,joelparkerhenderson/pitch-deck,active,,2021-05-24 02:12:13.615391
NYU Courant,https://cims.nyu.edu/,"Courant Institute of Mathematical Sciences, New York University",Colleges Centers and Departments,,,,,,,,,,
Berkeley Lab CIFT,https://cs.lbl.gov/news-media/news/news-archive/2010/berkeley-lab-launches-new-center-for-innovative-financial-technology/,,Colleges Centers and Departments,,,,,,,,,,
Oxford Man,https://www.oxford-man.ox.ac.uk/,Oxford-Man Institute of Quantitative Finance,Colleges Centers and Departments,,,,,,,,,,
Stanford Advanced Financial Technologies,https://fintech.stanford.edu/,Stanford Advanced Financial Technologies Laboratory,Colleges Centers and Departments,,,,,,,,,,
Cornell University,https://www.cornell.edu/,,Colleges Centers and Departments,,,,,,,,,,
NYU FRE,https://engineering.nyu.edu/academics/departments/finance-and-risk-engineering,Finance and Risk Engineering (NYU Tandon),Colleges Centers and Departments,,,,,,,,,,
Stanford Advanced Financial Technologies,https://fintech.stanford.edu/,Stanford Advanced Financial Technologies Laboratory,Colleges Centers and Departments,,,,,,,,,,
ML-YouTube-Courses,https://github.com/dair-ai/ML-YouTube-Courses,NEW,Courses,2021-07-03 20:48:25,1072.0,65.0,1.0,2021-06-25 09:39:16,2021-06-25 10:30:39,dair-ai/ML-YouTube-Courses,active,,2021-06-28 01:48:33.633779
stat479-machine-learning-fs18,https://github.com/rasbt/stat479-machine-learning-fs18,NEW,Courses,2021-06-30 15:23:44,425.0,209.0,1.0,2018-09-06 00:30:56,2018-12-20 23:45:13,rasbt/stat479-machine-learning-fs18,inactive,,2021-04-19 01:25:20.750834
ml-mipt,https://github.com/girafe-ai/ml-mipt,NEW,Courses,2021-07-01 09:42:15,544.0,384.0,7.0,2019-02-01 16:20:39,2020-11-04 10:56:04,girafe-ai/ml-mipt,active,,2021-04-19 01:25:20.750834
stat479-machine-learning-fs19,https://github.com/rasbt/stat479-machine-learning-fs19,NEW,Courses,2021-06-03 04:03:48,651.0,225.0,1.0,2019-08-07 07:36:20,2020-11-28 00:04:07,rasbt/stat479-machine-learning-fs19,active,,2021-04-19 01:25:20.750834
Online-Courses-Learning,https://github.com/MrinmoiHossain/Online-Courses-Learning,NEW,Courses,2021-06-29 15:44:42,202.0,397.0,1.0,2018-08-12 18:52:29,2019-07-14 21:07:56,MrinmoiHossain/Online-Courses-Learning,active,,2021-06-21 01:58:47.497649
Introduction-to-Machine-Learning,https://github.com/codeheroku/Introduction-to-Machine-Learning,NEW,Courses,2021-07-03 07:53:03,297.0,784.0,3.0,2019-02-09 12:07:52,2020-11-28 08:44:08,codeheroku/Introduction-to-Machine-Learning,active,,2021-04-19 01:25:20.750834
mlcourse,https://github.com/davidrosenberg/mlcourse,NEW,Courses,2021-06-30 15:38:27,413.0,223.0,9.0,2015-10-11 22:18:25,2021-03-14 01:19:08,davidrosenberg/mlcourse,active,,2021-04-19 01:25:20.750834
JSE_OkCupid,https://github.com/rudeboybert/JSE_OkCupid,NEW,Courses,2021-06-27 19:11:17,211.0,62.0,1.0,2015-03-28 08:38:27,2021-04-26 18:35:26,rudeboybert/JSE_OkCupid,active,,2021-04-19 01:25:20.750834
Artificial-Intelligence-and-Machine-Learning,https://github.com/emilmont/Artificial-Intelligence-and-Machine-Learning,NEW,Courses,2021-07-03 03:47:50,516.0,302.0,1.0,2011-10-16 22:51:06,2013-07-20 18:21:51,emilmont/Artificial-Intelligence-and-Machine-Learning,inactive,,2021-04-19 01:25:20.750834
MTH594_MachineLearning,https://github.com/diefimov/MTH594_MachineLearning,NEW,Courses,2021-06-18 17:45:58,332.0,135.0,1.0,2016-03-09 07:35:19,2017-03-31 21:46:26,diefimov/MTH594_MachineLearning,inactive,,2021-04-19 01:25:20.750834
Machine-Learning-by-Andrew-Ng-in-Python,https://github.com/Benlau93/Machine-Learning-by-Andrew-Ng-in-Python,NEW,Courses,2021-06-26 07:28:46,249.0,203.0,1.0,2018-12-06 02:20:59,2019-01-11 04:24:52,Benlau93/Machine-Learning-by-Andrew-Ng-in-Python,inactive,,2021-04-19 01:25:20.750834
machine-learning-programming-assignments-coursera-andrew-ng,https://github.com/AvaisP/machine-learning-programming-assignments-coursera-andrew-ng,NEW,Courses,2021-06-22 16:39:11,376.0,331.0,1.0,2016-08-20 18:05:22,2016-09-05 19:14:41,AvaisP/machine-learning-programming-assignments-coursera-andrew-ng,inactive,,2021-04-19 01:25:20.750834
machine-learning-resources,https://github.com/datascienceid/machine-learning-resources,NEW,Courses,2021-06-28 12:21:18,246.0,89.0,4.0,2018-04-09 15:10:08,2019-07-30 14:25:27,datascienceid/machine-learning-resources,active,,2021-04-19 01:25:20.750834
ML_course,https://github.com/epfml/ML_course,NEW,Courses,2021-07-03 19:17:03,657.0,517.0,1.0,2016-07-13 15:37:38,2021-06-08 13:49:10,epfml/ML_course,active,,2021-04-19 01:25:20.750834
DAT4,https://github.com/justmarkham/DAT4,NEW,Courses,2021-07-02 10:55:48,756.0,657.0,3.0,2014-12-10 19:38:29,2021-02-15 23:26:27,justmarkham/DAT4,active,,2021-04-19 01:25:20.750834
machine-learning-notebooks,https://github.com/krasserm/machine-learning-notebooks,NEW,Courses,2021-06-11 17:03:50,299.0,126.0,1.0,2017-07-24 10:21:05,2020-09-07 12:48:43,krasserm/machine-learning-notebooks,active,,2021-04-19 01:25:20.750834
ml-course-msu,https://github.com/esokolov/ml-course-msu,NEW,Courses,2021-06-20 21:13:29,770.0,302.0,1.0,2015-09-11 08:51:24,2018-05-07 15:40:56,esokolov/ml-course-msu,inactive,,2021-04-19 01:25:20.750834
machine-learning-course,https://github.com/instillai/machine-learning-course,NEW,Courses,2021-07-03 16:56:44,6684.0,1223.0,9.0,2019-02-15 00:23:19,2020-04-21 03:19:12,instillai/machine-learning-course,active,,2021-04-19 01:25:20.750834
DP100,https://github.com/MicrosoftLearning/DP100,NEW,Courses,2021-07-01 14:49:55,503.0,519.0,2.0,2020-01-06 20:38:41,2020-12-30 17:22:42,MicrosoftLearning/DP100,active,,2021-04-19 01:25:20.750834
MachineLearningWithPython,https://github.com/JerryKurata/MachineLearningWithPython,NEW,Courses,2021-07-03 20:07:15,234.0,347.0,1.0,2016-04-24 21:20:10,2021-04-15 18:17:30,JerryKurata/MachineLearningWithPython,active,,2021-04-19 01:25:20.750834
master,https://github.com/ML-course/master,NEW,Courses,2021-06-03 03:57:21,341.0,174.0,11.0,2017-02-04 22:44:35,2021-04-23 22:36:34,ML-course/master,active,,2021-04-19 01:25:20.750834
Udemy---Machine-Learning,https://github.com/jmportilla/Udemy---Machine-Learning,NEW,Courses,2021-06-15 09:17:29,208.0,408.0,3.0,2015-04-27 22:44:40,2016-07-06 23:58:33,jmportilla/Udemy---Machine-Learning,inactive,,2021-04-19 01:25:20.750834
tensorflow-without-a-phd,https://github.com/GoogleCloudPlatform/tensorflow-without-a-phd,NEW,Courses,2021-07-03 16:56:02,2413.0,845.0,11.0,2018-05-09 18:33:40,2020-06-03 21:08:32,GoogleCloudPlatform/tensorflow-without-a-phd,active,,2021-04-19 01:25:20.750834
machine-learning-online-2018,https://github.com/coding-blocks-archives/machine-learning-online-2018,NEW,Courses,2021-07-02 12:31:34,262.0,524.0,3.0,2018-07-18 04:24:58,2020-07-02 09:24:40,coding-blocks-archives/machine-learning-online-2018,active,,2021-04-19 01:25:20.750834
deploying-machine-learning-models,https://github.com/trainindata/deploying-machine-learning-models,NEW,Courses,2021-06-26 06:58:26,316.0,2945.0,2.0,2019-01-09 20:30:46,2021-06-20 20:37:28,trainindata/deploying-machine-learning-models,active,,2021-04-19 01:25:20.750834
dive-into-machine-learning,https://github.com/hangtwenty/dive-into-machine-learning,NEW,Courses,2021-07-03 22:26:05,10601.0,1942.0,30.0,2015-02-22 23:48:16,2021-03-15 05:34:55,hangtwenty/dive-into-machine-learning,active,,2021-04-19 01:25:20.750834
machine-learning-coursera,https://github.com/yhyap/machine-learning-coursera,NEW,Courses,2021-06-30 14:10:34,231.0,196.0,1.0,2013-05-03 09:41:53,2013-05-05 11:58:38,yhyap/machine-learning-coursera,inactive,,2021-04-19 01:25:20.750834
awesome-ml-courses,https://github.com/luspr/awesome-ml-courses,NEW,Courses,2021-07-03 02:25:46,2017.0,221.0,4.0,2020-05-08 20:41:59,2021-02-18 20:26:31,luspr/awesome-ml-courses,active,,2021-04-19 01:25:20.750834
machine-learning-coursera-1,https://github.com/Borye/machine-learning-coursera-1,NEW,Courses,2021-06-28 10:38:33,1112.0,938.0,1.0,2014-08-28 10:48:18,2014-06-17 10:37:27,Borye/machine-learning-coursera-1,inactive,,2021-04-19 01:25:20.750834
Stanford-Machine-Learning-Course,https://github.com/zhouxc/Stanford-Machine-Learning-Course,NEW,Courses,2021-06-29 08:12:17,513.0,365.0,1.0,2011-12-25 10:00:48,2011-12-25 10:01:12,zhouxc/Stanford-Machine-Learning-Course,inactive,,2021-04-19 01:25:20.750834
2014,https://github.com/cs109/2014,NEW,Courses,2021-05-17 01:31:57,309.0,765.0,4.0,2014-07-21 22:46:20,2014-12-17 14:37:02,cs109/2014,inactive,,2021-04-19 01:25:20.750834
Coursera-Stanford-ML-Python,https://github.com/mstampfer/Coursera-Stanford-ML-Python,NEW,Courses,2021-06-25 04:39:23,408.0,233.0,3.0,2015-10-28 19:51:00,2016-09-02 00:21:30,mstampfer/Coursera-Stanford-ML-Python,inactive,,2021-04-19 01:25:20.750834
DAT3,https://github.com/justmarkham/DAT3,NEW,Courses,2021-07-01 11:01:29,625.0,372.0,4.0,2014-09-18 20:30:19,2020-05-19 09:21:02,justmarkham/DAT3,active,,2021-04-19 01:25:20.750834
ciml,https://github.com/hal3/ciml,NEW,Courses,2021-07-01 14:55:43,781.0,220.0,2.0,2015-08-12 19:26:00,2017-01-20 16:24:19,hal3/ciml,inactive,,2021-04-19 01:25:20.750834
DAT7,https://github.com/justmarkham/DAT7,NEW,Courses,2021-07-01 11:01:17,229.0,199.0,1.0,2015-05-16 02:29:54,2016-03-18 16:20:30,justmarkham/DAT7,inactive,,2021-04-19 01:25:20.750834
zero-to-mastery-ml,https://github.com/mrdbourke/zero-to-mastery-ml,NEW,Courses,2021-07-04 00:34:52,783.0,1349.0,15.0,2019-09-23 04:56:51,2021-06-09 00:10:06,mrdbourke/zero-to-mastery-ml,active,,2021-04-19 01:25:20.750834
mlcourse.ai,https://github.com/Yorko/mlcourse.ai,NEW,Courses,2021-07-03 15:43:09,7706.0,5067.0,191.0,2017-02-27 08:32:20,2021-06-21 15:23:28,Yorko/mlcourse.ai,active,,2021-04-19 01:25:20.750834
cornell-cs5785-applied-ml,https://github.com/kuleshov/cornell-cs5785-applied-ml,NEW,Courses,2021-07-02 13:41:39,204.0,70.0,1.0,2021-03-26 06:33:58,2021-03-26 07:52:04,kuleshov/cornell-cs5785-applied-ml,active,,2021-07-05 01:46:13.555262
ppd599,https://github.com/gboeing/ppd599,NEW,Courses,2021-07-01 08:05:28,1087.0,458.0,1.0,2015-09-01 19:59:59,2021-05-12 00:29:25,gboeing/ppd599,active,,2021-04-19 01:25:20.750834
DataScienceSpCourseNotes,https://github.com/sux13/DataScienceSpCourseNotes,NEW,Courses,2021-06-11 18:55:39,710.0,2403.0,10.0,2015-03-09 00:51:32,2016-02-16 06:12:54,sux13/DataScienceSpCourseNotes,inactive,,2021-04-19 01:25:20.750834
stanford-cs231,https://github.com/machinelearningnanodegree/stanford-cs231,NEW,Courses,2021-05-18 18:13:19,251.0,122.0,4.0,2016-09-05 01:40:41,2017-02-03 16:46:46,machinelearningnanodegree/stanford-cs231,inactive,,2021-04-19 01:25:20.750834
DAT8,https://github.com/justmarkham/DAT8,NEW,Courses,2021-06-28 17:08:36,1498.0,987.0,1.0,2015-08-07 03:35:51,2016-04-18 18:34:09,justmarkham/DAT8,inactive,,2021-04-19 01:25:20.750834
datascience-box,https://github.com/rstudio-education/datascience-box,NEW,Courses,2021-07-03 17:18:56,659.0,254.0,16.0,2017-12-29 22:16:17,2021-06-25 12:33:09,rstudio-education/datascience-box,active,,2021-04-19 01:25:20.750834
datasci_course_materials,https://github.com/uwescience/datasci_course_materials,NEW,Courses,2021-06-27 04:05:36,900.0,2441.0,6.0,2013-04-12 05:54:36,2017-03-21 19:21:02,uwescience/datasci_course_materials,inactive,,2021-04-19 01:25:20.750834
competitive-data-science,https://github.com/hse-aml/competitive-data-science,NEW,Courses,2021-06-27 13:51:17,568.0,591.0,9.0,2017-10-28 14:56:44,2020-06-13 13:44:26,hse-aml/competitive-data-science,active,,2021-04-19 01:25:20.750834
CourseraML,https://github.com/kaleko/CourseraML,NEW,Courses,2021-06-28 02:35:43,1890.0,773.0,0.0,2015-12-08 00:03:22,2018-10-30 23:49:56,kaleko/CourseraML,inactive,,2021-04-19 01:25:20.750834
DataScience,https://github.com/JuliaAcademy/DataScience,NEW,Courses,2021-07-03 15:30:19,293.0,147.0,5.0,2020-05-21 01:26:52,2021-06-19 17:09:20,JuliaAcademy/DataScience,active,,2021-04-19 01:25:20.750834
ml-workspace,https://github.com/AdicherlaVenkataSai/ml-workspace,NEW,Courses,2021-06-26 15:29:47,270.0,84.0,1.0,2020-07-10 06:38:10,2020-09-23 18:16:09,AdicherlaVenkataSai/ml-workspace,active,,2021-04-19 01:25:20.750834
DataCamp,https://github.com/wblakecannon/DataCamp,NEW,Courses,2021-05-15 10:12:20,1167.0,1369.0,28.0,2017-09-18 20:51:08,2020-10-01 20:13:05,wblakecannon/DataCamp,active,,2021-04-19 01:25:20.750834
Play-with-Machine-Learning-Algorithms,https://github.com/liuyubobobo/Play-with-Machine-Learning-Algorithms,NEW,Courses,2021-06-30 13:48:43,1070.0,570.0,1.0,2017-10-17 23:13:24,2020-11-10 08:26:50,liuyubobobo/Play-with-Machine-Learning-Algorithms,active,,2021-04-19 01:25:20.750834
datasciencecoursera,https://github.com/mGalarnyk/datasciencecoursera,NEW,Courses,2021-07-03 16:25:25,1785.0,1828.0,8.0,2016-12-27 03:59:24,2021-02-19 04:16:58,mGalarnyk/datasciencecoursera,active,,2021-04-19 01:25:20.750834
coursera-deep-learning-specialization,https://github.com/amanchadha/coursera-deep-learning-specialization,NEW,Courses,2021-07-03 09:58:33,381.0,406.0,1.0,2020-06-24 05:59:01,2021-07-01 21:33:57,amanchadha/coursera-deep-learning-specialization,active,,2021-04-19 01:25:20.750834
stanford-cs229,https://github.com/zyxue/stanford-cs229,NEW,Courses,2021-06-15 01:20:29,518.0,294.0,2.0,2017-10-31 23:01:08,2020-01-14 03:24:16,zyxue/stanford-cs229,active,,2021-04-19 01:25:20.750834
Developing_Data_Products,https://github.com/DataScienceSpecialization/Developing_Data_Products,NEW,Courses,2021-06-26 17:00:49,201.0,1287.0,2.0,2016-08-25 19:47:39,2017-07-31 15:11:59,DataScienceSpecialization/Developing_Data_Products,inactive,,2021-05-24 02:12:43.928732
china-dictatorship,https://github.com/cirosantilli/china-dictatorship,NEW,Courses,2021-07-03 06:22:43,471.0,57.0,4.0,2015-04-02 20:51:50,2021-07-01 17:21:59,cirosantilli/china-dictatorship,active,,2021-04-19 01:25:20.750834
Berkeley Lab CIFT,https://cs.lbl.gov/news-media/news/news-archive/2010/berkeley-lab-launches-new-center-for-innovative-financial-technology/,,Colleges Centers and Departments,,,,,,,,,,
NYU Courant,https://cims.nyu.edu/,"Courant Institute of Mathematical Sciences, New York University",Colleges Centers and Departments,,,,,,,,,,
Oxford Man,https://www.oxford-man.ox.ac.uk/,Oxford-Man Institute of Quantitative Finance,Colleges Centers and Departments,,,,,,,,,,
Mathematical Finance,https://github.com/yadongli/nyumath2048,NYU Math-GA 2048: Scientific Computing in Finance.,Courses,2021-06-14 05:19:13,70.0,65.0,6.0,2015-01-25 21:10:37,2020-03-25 04:24:25,yadongli/nyumath2048,active,,
china-dictatorship,https://github.com/cirosantilli/china-dictatorship,NEW,Courses,2021-07-03 06:22:43,471.0,57.0,4.0,2015-04-02 20:51:50,2021-07-01 17:21:59,cirosantilli/china-dictatorship,active,,2021-04-19 01:25:20.750834
Developing_Data_Products,https://github.com/DataScienceSpecialization/Developing_Data_Products,NEW,Courses,2021-06-26 17:00:49,201.0,1287.0,2.0,2016-08-25 19:47:39,2017-07-31 15:11:59,DataScienceSpecialization/Developing_Data_Products,inactive,,2021-05-24 02:12:43.928732
stanford-cs229,https://github.com/zyxue/stanford-cs229,NEW,Courses,2021-06-15 01:20:29,518.0,294.0,2.0,2017-10-31 23:01:08,2020-01-14 03:24:16,zyxue/stanford-cs229,active,,2021-04-19 01:25:20.750834
coursera-deep-learning-specialization,https://github.com/amanchadha/coursera-deep-learning-specialization,NEW,Courses,2021-07-03 09:58:33,381.0,406.0,1.0,2020-06-24 05:59:01,2021-07-01 21:33:57,amanchadha/coursera-deep-learning-specialization,active,,2021-04-19 01:25:20.750834
Play-with-Machine-Learning-Algorithms,https://github.com/liuyubobobo/Play-with-Machine-Learning-Algorithms,NEW,Courses,2021-06-30 13:48:43,1070.0,570.0,1.0,2017-10-17 23:13:24,2020-11-10 08:26:50,liuyubobobo/Play-with-Machine-Learning-Algorithms,active,,2021-04-19 01:25:20.750834
DataCamp,https://github.com/wblakecannon/DataCamp,NEW,Courses,2021-05-15 10:12:20,1167.0,1369.0,28.0,2017-09-18 20:51:08,2020-10-01 20:13:05,wblakecannon/DataCamp,active,,2021-04-19 01:25:20.750834
DataScience,https://github.com/JuliaAcademy/DataScience,NEW,Courses,2021-07-03 15:30:19,293.0,147.0,5.0,2020-05-21 01:26:52,2021-06-19 17:09:20,JuliaAcademy/DataScience,active,,2021-04-19 01:25:20.750834
CourseraML,https://github.com/kaleko/CourseraML,NEW,Courses,2021-06-28 02:35:43,1890.0,773.0,0.0,2015-12-08 00:03:22,2018-10-30 23:49:56,kaleko/CourseraML,inactive,,2021-04-19 01:25:20.750834
competitive-data-science,https://github.com/hse-aml/competitive-data-science,NEW,Courses,2021-06-27 13:51:17,568.0,591.0,9.0,2017-10-28 14:56:44,2020-06-13 13:44:26,hse-aml/competitive-data-science,active,,2021-04-19 01:25:20.750834
datasci_course_materials,https://github.com/uwescience/datasci_course_materials,NEW,Courses,2021-06-27 04:05:36,900.0,2441.0,6.0,2013-04-12 05:54:36,2017-03-21 19:21:02,uwescience/datasci_course_materials,inactive,,2021-04-19 01:25:20.750834
datascience-box,https://github.com/rstudio-education/datascience-box,NEW,Courses,2021-07-03 17:18:56,659.0,254.0,16.0,2017-12-29 22:16:17,2021-06-25 12:33:09,rstudio-education/datascience-box,active,,2021-04-19 01:25:20.750834
DAT8,https://github.com/justmarkham/DAT8,NEW,Courses,2021-06-28 17:08:36,1498.0,987.0,1.0,2015-08-07 03:35:51,2016-04-18 18:34:09,justmarkham/DAT8,inactive,,2021-04-19 01:25:20.750834
stanford-cs231,https://github.com/machinelearningnanodegree/stanford-cs231,NEW,Courses,2021-05-18 18:13:19,251.0,122.0,4.0,2016-09-05 01:40:41,2017-02-03 16:46:46,machinelearningnanodegree/stanford-cs231,inactive,,2021-04-19 01:25:20.750834
Intro,https://github.com/rstudio/Intro,NEW,Courses,2021-05-01 17:06:45,230.0,296.0,1.0,2014-11-11 20:45:33,2014-11-12 13:42:32,rstudio/Intro,inactive,,2021-04-19 01:25:20.750834
ml-workspace,https://github.com/AdicherlaVenkataSai/ml-workspace,NEW,Courses,2021-06-26 15:29:47,270.0,84.0,1.0,2020-07-10 06:38:10,2020-09-23 18:16:09,AdicherlaVenkataSai/ml-workspace,active,,2021-04-19 01:25:20.750834
Octave,https://github.com/schneems/Octave,NEW,Courses,2021-07-01 01:47:49,785.0,499.0,1.0,2011-10-24 23:50:52,2016-07-08 20:45:40,schneems/Octave,inactive,,2021-04-19 01:25:20.750834
courses,https://github.com/DataScienceSpecialization/courses,NEW,Courses,2021-07-01 15:08:00,3786.0,30835.0,13.0,2014-01-21 10:22:57,2016-03-16 12:13:44,DataScienceSpecialization/courses,inactive,,2021-04-19 01:25:20.750834
PythonNumericalDemos,https://github.com/GeostatsGuy/PythonNumericalDemos,NEW,Courses,2021-06-30 05:05:34,278.0,199.0,1.0,2017-10-13 15:44:06,2021-06-26 02:58:00,GeostatsGuy/PythonNumericalDemos,active,,2021-04-19 01:25:20.750834
python-seminar,https://github.com/profjsb/python-seminar,NEW,Courses,2021-06-29 23:00:41,302.0,146.0,11.0,2012-08-23 03:30:01,2020-04-30 20:43:47,profjsb/python-seminar,active,,2021-04-19 01:25:20.750834
ML Specialisation,https://github.com/Ahmed0028/Machine-Learning-and-Reinforcement-Learning-in-Finance-Specialization,Machine Learning in Finance.,Courses,2021-06-29 18:04:28,35.0,35.0,1.0,2019-01-24 02:55:01,2020-01-03 21:54:16,Ahmed0028/Machine-Learning-and-Reinforcement-Learning-in-Finance-Specialization,active,,
Machine Learning for Trading,https://github.com/stefan-jansen/machine-learning-for-trading,"Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading.",Courses,2021-07-03 19:47:02,4261.0,1458.0,9.0,2018-05-09 12:33:08,2021-06-07 16:40:30,stefan-jansen/machine-learning-for-trading,active,,
course-resources-ml-with-experts-budgets,https://github.com/datacamp/course-resources-ml-with-experts-budgets,NEW,Courses,2021-06-30 03:59:54,469.0,592.0,2.0,2017-03-02 13:10:27,2017-12-14 20:46:54,datacamp/course-resources-ml-with-experts-budgets,inactive,,2021-04-19 01:25:20.750834
Basic Finance,https://github.com/SeanMcOwen/FinanceAndPython.com-BasicFinance,Source code notebooks basic finance applications.,Courses,2021-03-31 02:09:16,10.0,9.0,1.0,2017-05-06 02:39:05,2017-06-21 04:04:09,SeanMcOwen/FinanceAndPython.com-BasicFinance,inactive,,
Data-Science-Free,https://github.com/frontbenchHQ/Data-Science-Free,NEW,Courses,2021-06-24 18:59:40,238.0,164.0,4.0,2019-02-10 14:29:29,2020-07-13 06:36:25,frontbenchHQ/Data-Science-Free,active,,2021-04-19 01:25:20.750834
PyMLSlides,https://github.com/dmitriydligach/PyMLSlides,NEW,Courses,2021-05-23 19:18:37,279.0,118.0,0.0,2017-06-05 13:59:15,2020-10-06 21:34:43,dmitriydligach/PyMLSlides,active,,2021-04-19 01:25:20.750834
OptML_course,https://github.com/epfml/OptML_course,NEW,Courses,2021-07-03 22:24:48,454.0,158.0,10.0,2018-02-21 19:06:55,2021-06-28 10:38:57,epfml/OptML_course,active,,2021-04-19 01:25:20.750834
DataScienceCourse,https://github.com/briandalessandro/DataScienceCourse,NEW,Courses,2021-06-27 11:07:23,599.0,741.0,13.0,2014-10-01 08:45:51,2020-12-20 13:03:56,briandalessandro/DataScienceCourse,active,,2021-04-19 01:25:20.750834
Python for Finance,https://github.com/siaen/python_finance_course,CEU python for finance course material.,Courses,2021-04-28 18:10:55,17.0,15.0,4.0,2017-12-12 11:54:46,2020-02-25 20:31:41,siaen/python_finance_course,active,,
Algo Trading,https://github.com/JCreeks/Machine-Learning-in-Finance/tree/master/0_Intro_to_Algo_Trading,Intro to algo trading.,Courses,2021-06-28 03:36:32,66.0,25.0,1.0,2017-10-29 20:34:54,2019-01-22 06:56:08,JCreeks/Machine-Learning-in-Finance,inactive,,
Basic Derivatives,https://github.com/SeanMcOwen/FinanceAndPython.com-Derivatives,Basic forward contracts and hedging.,Courses,2021-03-31 02:08:39,4.0,4.0,1.0,2017-08-24 00:11:37,2017-10-13 01:32:23,SeanMcOwen/FinanceAndPython.com-Derivatives,inactive,,
Risk Management,https://github.com/andrey-lukyanov/Risk-Management,Finance risk engagement course resources.,Courses,2021-04-20 08:29:36,8.0,5.0,3.0,2018-10-03 16:26:14,2018-12-13 08:04:15,andrey-lukyanov/Risk-Management,inactive,,
Handson Python for Finance,https://github.com/PacktPublishing/Hands-on-Python-for-Finance,Hands-on Python for Finance published by Packt.,Courses,2021-06-21 07:40:12,143.0,113.0,3.0,2018-08-20 14:10:37,2021-01-15 08:57:06,PacktPublishing/Hands-on-Python-for-Finance,active,,
Basic Investments,https://github.com/SeanMcOwen/FinanceAndPython.com-Investments,Basic investment tools in python.,Courses,2021-03-23 06:32:10,9.0,7.0,1.0,2017-08-02 21:52:19,2017-08-17 03:24:53,SeanMcOwen/FinanceAndPython.com-Investments,inactive,,
PythonNumericalDemos,https://github.com/GeostatsGuy/PythonNumericalDemos,NEW,Courses,2021-06-30 05:05:34,278.0,199.0,1.0,2017-10-13 15:44:06,2021-06-26 02:58:00,GeostatsGuy/PythonNumericalDemos,active,,2021-04-19 01:25:20.750834
causalML,https://github.com/altdeep/causalML,NEW,Courses,2021-06-27 19:38:30,421.0,125.0,32.0,2018-12-17 05:22:47,2021-04-15 20:37:28,altdeep/causalML,active,,2021-04-19 01:25:20.750834
https://fred.stlouisfed.org/,https://fred.stlouisfed.org/,,Data,,,,,,,,,,
http://finance.yahoo.com/,http://finance.yahoo.com/,,Data,,,,,,,,,,
IRS,http://social-metrics.org/sox/,,Data,,,,,,,,,,
Non-financial Corporate,http://raw.rutgers.edu/Non-Financial%20Corporate%20Data.html,,Data,,,,,,,,,,
https://stooq.com,https://stooq.com,,Data,,,,,,,,,,
Web Scraping (FirmAI),https://github.com/firmai/business-machine-learning/blob/master/www.firmai.org/data,,Data,2021-07-04 00:08:31,587.0,190.0,2.0,2019-02-19 19:02:59,2020-07-22 16:48:21,firmai/business-machine-learning,active,,
Open Edgar,https://github.com/LexPredict/openedgar,,Data,2021-06-23 20:36:15,180.0,64.0,6.0,2018-05-07 15:32:31,2019-05-15 08:32:30,LexPredict/openedgar,inactive,,
SEC Parsing,https://github.com/healthgradient/sec-doc-info-extraction/blob/master/classify_sections_containing_relevant_information.ipynb,,Data,2021-02-27 06:34:55,9.0,6.0,1.0,2018-06-16 14:30:06,2018-06-16 17:23:46,healthgradient/sec-doc-info-extraction,inactive,,
Employee Count SEC Filings,https://github.com/healthgradient/sec_employee_information_extraction,,Data,2021-04-18 03:25:43,11.0,2.0,1.0,2018-06-26 23:33:51,2018-08-14 01:31:13,healthgradient/sec_employee_information_extraction,inactive,,
EDGAR,https://github.com/TiesdeKok/UW_Python_Camp/blob/master/Materials/Session_5/EDGAR_walkthrough.ipynb,,Data,2021-06-29 15:03:48,13.0,11.0,1.0,2018-06-11 22:51:57,2018-07-10 18:03:52,TiesdeKok/UW_Python_Camp,inactive,,
https://github.com/timestocome/StockMarketData,https://github.com/timestocome/StockMarketData,,Data,2021-06-26 07:19:31,7.0,5.0,1.0,2017-05-10 21:49:45,2017-08-06 19:23:18,timestocome/StockMarketData,inactive,,
Financial Corporate,http://raw.rutgers.edu/Corporate%20Financial%20Data.html,,Data,,,,,,,,,,
Capital Markets Data,https://www.capitalmarketsdata.com/,,Data,,,,,,,,,,
Basic Investments,https://github.com/SeanMcOwen/FinanceAndPython.com-Investments,Basic investment tools in python.,Courses,2021-03-23 06:32:10,9.0,7.0,1.0,2017-08-02 21:52:19,2017-08-17 03:24:53,SeanMcOwen/FinanceAndPython.com-Investments,inactive,,
Handson Python for Finance,https://github.com/PacktPublishing/Hands-on-Python-for-Finance,Hands-on Python for Finance published by Packt.,Courses,2021-06-21 07:40:12,143.0,113.0,3.0,2018-08-20 14:10:37,2021-01-15 08:57:06,PacktPublishing/Hands-on-Python-for-Finance,active,,
Risk Management,https://github.com/andrey-lukyanov/Risk-Management,Finance risk engagement course resources.,Courses,2021-04-20 08:29:36,8.0,5.0,3.0,2018-10-03 16:26:14,2018-12-13 08:04:15,andrey-lukyanov/Risk-Management,inactive,,
Basic Derivatives,https://github.com/SeanMcOwen/FinanceAndPython.com-Derivatives,Basic forward contracts and hedging.,Courses,2021-03-31 02:08:39,4.0,4.0,1.0,2017-08-24 00:11:37,2017-10-13 01:32:23,SeanMcOwen/FinanceAndPython.com-Derivatives,inactive,,
Algo Trading,https://github.com/JCreeks/Machine-Learning-in-Finance/tree/master/0_Intro_to_Algo_Trading,Intro to algo trading.,Courses,2021-06-28 03:36:32,66.0,25.0,1.0,2017-10-29 20:34:54,2019-01-22 06:56:08,JCreeks/Machine-Learning-in-Finance,inactive,,
Python for Finance,https://github.com/siaen/python_finance_course,CEU python for finance course material.,Courses,2021-04-28 18:10:55,17.0,15.0,4.0,2017-12-12 11:54:46,2020-02-25 20:31:41,siaen/python_finance_course,active,,
courses,https://github.com/DataScienceSpecialization/courses,NEW,Courses,2021-07-01 15:08:00,3786.0,30835.0,13.0,2014-01-21 10:22:57,2016-03-16 12:13:44,DataScienceSpecialization/courses,inactive,,2021-04-19 01:25:20.750834
DataScienceCourse,https://github.com/briandalessandro/DataScienceCourse,NEW,Courses,2021-06-27 11:07:23,599.0,741.0,13.0,2014-10-01 08:45:51,2020-12-20 13:03:56,briandalessandro/DataScienceCourse,active,,2021-04-19 01:25:20.750834
PyMLSlides,https://github.com/dmitriydligach/PyMLSlides,NEW,Courses,2021-05-23 19:18:37,279.0,118.0,0.0,2017-06-05 13:59:15,2020-10-06 21:34:43,dmitriydligach/PyMLSlides,active,,2021-04-19 01:25:20.750834
Data-Science-Free,https://github.com/frontbenchHQ/Data-Science-Free,NEW,Courses,2021-06-24 18:59:40,238.0,164.0,4.0,2019-02-10 14:29:29,2020-07-13 06:36:25,frontbenchHQ/Data-Science-Free,active,,2021-04-19 01:25:20.750834
Basic Finance,https://github.com/SeanMcOwen/FinanceAndPython.com-BasicFinance,Source code notebooks basic finance applications.,Courses,2021-03-31 02:09:16,10.0,9.0,1.0,2017-05-06 02:39:05,2017-06-21 04:04:09,SeanMcOwen/FinanceAndPython.com-BasicFinance,inactive,,
course-resources-ml-with-experts-budgets,https://github.com/datacamp/course-resources-ml-with-experts-budgets,NEW,Courses,2021-06-30 03:59:54,469.0,592.0,2.0,2017-03-02 13:10:27,2017-12-14 20:46:54,datacamp/course-resources-ml-with-experts-budgets,inactive,,2021-04-19 01:25:20.750834
Machine Learning for Trading,https://github.com/stefan-jansen/machine-learning-for-trading,"Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading.",Courses,2021-07-03 19:47:02,4261.0,1458.0,9.0,2018-05-09 12:33:08,2021-06-07 16:40:30,stefan-jansen/machine-learning-for-trading,active,,
ML Specialisation,https://github.com/Ahmed0028/Machine-Learning-and-Reinforcement-Learning-in-Finance-Specialization,Machine Learning in Finance.,Courses,2021-06-29 18:04:28,35.0,35.0,1.0,2019-01-24 02:55:01,2020-01-03 21:54:16,Ahmed0028/Machine-Learning-and-Reinforcement-Learning-in-Finance-Specialization,active,,
python-seminar,https://github.com/profjsb/python-seminar,NEW,Courses,2021-06-29 23:00:41,302.0,146.0,11.0,2012-08-23 03:30:01,2020-04-30 20:43:47,profjsb/python-seminar,active,,2021-04-19 01:25:20.750834
DataScienceSpCourseNotes,https://github.com/sux13/DataScienceSpCourseNotes,NEW,Courses,2021-06-11 18:55:39,710.0,2403.0,10.0,2015-03-09 00:51:32,2016-02-16 06:12:54,sux13/DataScienceSpCourseNotes,inactive,,2021-04-19 01:25:20.750834
ppd599,https://github.com/gboeing/ppd599,NEW,Courses,2021-07-01 08:05:28,1087.0,458.0,1.0,2015-09-01 19:59:59,2021-05-12 00:29:25,gboeing/ppd599,active,,2021-04-19 01:25:20.750834
datasciencecoursera,https://github.com/mGalarnyk/datasciencecoursera,NEW,Courses,2021-07-03 16:25:25,1785.0,1828.0,8.0,2016-12-27 03:59:24,2021-02-19 04:16:58,mGalarnyk/datasciencecoursera,active,,2021-04-19 01:25:20.750834
mlcourse.ai,https://github.com/Yorko/mlcourse.ai,NEW,Courses,2021-07-03 15:43:09,7706.0,5067.0,191.0,2017-02-27 08:32:20,2021-06-21 15:23:28,Yorko/mlcourse.ai,active,,2021-04-19 01:25:20.750834
DAT4,https://github.com/justmarkham/DAT4,NEW,Courses,2021-07-02 10:55:48,756.0,657.0,3.0,2014-12-10 19:38:29,2021-02-15 23:26:27,justmarkham/DAT4,active,,2021-04-19 01:25:20.750834
ML_course,https://github.com/epfml/ML_course,NEW,Courses,2021-07-03 19:17:03,657.0,517.0,1.0,2016-07-13 15:37:38,2021-06-08 13:49:10,epfml/ML_course,active,,2021-04-19 01:25:20.750834
machine-learning-resources,https://github.com/datascienceid/machine-learning-resources,NEW,Courses,2021-06-28 12:21:18,246.0,89.0,4.0,2018-04-09 15:10:08,2019-07-30 14:25:27,datascienceid/machine-learning-resources,active,,2021-04-19 01:25:20.750834
machine-learning-programming-assignments-coursera-andrew-ng,https://github.com/AvaisP/machine-learning-programming-assignments-coursera-andrew-ng,NEW,Courses,2021-06-22 16:39:11,376.0,331.0,1.0,2016-08-20 18:05:22,2016-09-05 19:14:41,AvaisP/machine-learning-programming-assignments-coursera-andrew-ng,inactive,,2021-04-19 01:25:20.750834
Machine-Learning-by-Andrew-Ng-in-Python,https://github.com/Benlau93/Machine-Learning-by-Andrew-Ng-in-Python,NEW,Courses,2021-06-26 07:28:46,249.0,203.0,1.0,2018-12-06 02:20:59,2019-01-11 04:24:52,Benlau93/Machine-Learning-by-Andrew-Ng-in-Python,inactive,,2021-04-19 01:25:20.750834
MTH594_MachineLearning,https://github.com/diefimov/MTH594_MachineLearning,NEW,Courses,2021-06-18 17:45:58,332.0,135.0,1.0,2016-03-09 07:35:19,2017-03-31 21:46:26,diefimov/MTH594_MachineLearning,inactive,,2021-04-19 01:25:20.750834
Artificial-Intelligence-and-Machine-Learning,https://github.com/emilmont/Artificial-Intelligence-and-Machine-Learning,NEW,Courses,2021-07-03 03:47:50,516.0,302.0,1.0,2011-10-16 22:51:06,2013-07-20 18:21:51,emilmont/Artificial-Intelligence-and-Machine-Learning,inactive,,2021-04-19 01:25:20.750834
ml-course-msu,https://github.com/esokolov/ml-course-msu,NEW,Courses,2021-06-20 21:13:29,770.0,302.0,1.0,2015-09-11 08:51:24,2018-05-07 15:40:56,esokolov/ml-course-msu,inactive,,2021-04-19 01:25:20.750834
JSE_OkCupid,https://github.com/rudeboybert/JSE_OkCupid,NEW,Courses,2021-06-27 19:11:17,211.0,62.0,1.0,2015-03-28 08:38:27,2021-04-26 18:35:26,rudeboybert/JSE_OkCupid,active,,2021-04-19 01:25:20.750834
Introduction-to-Machine-Learning,https://github.com/codeheroku/Introduction-to-Machine-Learning,NEW,Courses,2021-07-03 07:53:03,297.0,784.0,3.0,2019-02-09 12:07:52,2020-11-28 08:44:08,codeheroku/Introduction-to-Machine-Learning,active,,2021-04-19 01:25:20.750834
Online-Courses-Learning,https://github.com/MrinmoiHossain/Online-Courses-Learning,NEW,Courses,2021-06-29 15:44:42,202.0,397.0,1.0,2018-08-12 18:52:29,2019-07-14 21:07:56,MrinmoiHossain/Online-Courses-Learning,active,,2021-06-21 01:58:47.497649
stat479-machine-learning-fs19,https://github.com/rasbt/stat479-machine-learning-fs19,NEW,Courses,2021-06-03 04:03:48,651.0,225.0,1.0,2019-08-07 07:36:20,2020-11-28 00:04:07,rasbt/stat479-machine-learning-fs19,active,,2021-04-19 01:25:20.750834
ml-mipt,https://github.com/girafe-ai/ml-mipt,NEW,Courses,2021-07-01 09:42:15,544.0,384.0,7.0,2019-02-01 16:20:39,2020-11-04 10:56:04,girafe-ai/ml-mipt,active,,2021-04-19 01:25:20.750834
stat479-machine-learning-fs18,https://github.com/rasbt/stat479-machine-learning-fs18,NEW,Courses,2021-06-30 15:23:44,425.0,209.0,1.0,2018-09-06 00:30:56,2018-12-20 23:45:13,rasbt/stat479-machine-learning-fs18,inactive,,2021-04-19 01:25:20.750834
ML-YouTube-Courses,https://github.com/dair-ai/ML-YouTube-Courses,NEW,Courses,2021-07-03 20:48:25,1072.0,65.0,1.0,2021-06-25 09:39:16,2021-06-25 10:30:39,dair-ai/ML-YouTube-Courses,active,,2021-06-28 01:48:33.633779
cornell-cs5785-applied-ml,https://github.com/kuleshov/cornell-cs5785-applied-ml,NEW,Courses,2021-07-02 13:41:39,204.0,70.0,1.0,2021-03-26 06:33:58,2021-03-26 07:52:04,kuleshov/cornell-cs5785-applied-ml,active,,2021-07-05 01:46:13.555262
mlcourse,https://github.com/davidrosenberg/mlcourse,NEW,Courses,2021-06-30 15:38:27,413.0,223.0,9.0,2015-10-11 22:18:25,2021-03-14 01:19:08,davidrosenberg/mlcourse,active,,2021-04-19 01:25:20.750834
machine-learning-course,https://github.com/instillai/machine-learning-course,NEW,Courses,2021-07-03 16:56:44,6684.0,1223.0,9.0,2019-02-15 00:23:19,2020-04-21 03:19:12,instillai/machine-learning-course,active,,2021-04-19 01:25:20.750834
machine-learning-notebooks,https://github.com/krasserm/machine-learning-notebooks,NEW,Courses,2021-06-11 17:03:50,299.0,126.0,1.0,2017-07-24 10:21:05,2020-09-07 12:48:43,krasserm/machine-learning-notebooks,active,,2021-04-19 01:25:20.750834
MachineLearningWithPython,https://github.com/JerryKurata/MachineLearningWithPython,NEW,Courses,2021-07-03 20:07:15,234.0,347.0,1.0,2016-04-24 21:20:10,2021-04-15 18:17:30,JerryKurata/MachineLearningWithPython,active,,2021-04-19 01:25:20.750834
zero-to-mastery-ml,https://github.com/mrdbourke/zero-to-mastery-ml,NEW,Courses,2021-07-04 00:34:52,783.0,1349.0,15.0,2019-09-23 04:56:51,2021-06-09 00:10:06,mrdbourke/zero-to-mastery-ml,active,,2021-04-19 01:25:20.750834
DAT7,https://github.com/justmarkham/DAT7,NEW,Courses,2021-07-01 11:01:17,229.0,199.0,1.0,2015-05-16 02:29:54,2016-03-18 16:20:30,justmarkham/DAT7,inactive,,2021-04-19 01:25:20.750834
ciml,https://github.com/hal3/ciml,NEW,Courses,2021-07-01 14:55:43,781.0,220.0,2.0,2015-08-12 19:26:00,2017-01-20 16:24:19,hal3/ciml,inactive,,2021-04-19 01:25:20.750834
DAT3,https://github.com/justmarkham/DAT3,NEW,Courses,2021-07-01 11:01:29,625.0,372.0,4.0,2014-09-18 20:30:19,2020-05-19 09:21:02,justmarkham/DAT3,active,,2021-04-19 01:25:20.750834
Coursera-Stanford-ML-Python,https://github.com/mstampfer/Coursera-Stanford-ML-Python,NEW,Courses,2021-06-25 04:39:23,408.0,233.0,3.0,2015-10-28 19:51:00,2016-09-02 00:21:30,mstampfer/Coursera-Stanford-ML-Python,inactive,,2021-04-19 01:25:20.750834
2014,https://github.com/cs109/2014,NEW,Courses,2021-05-17 01:31:57,309.0,765.0,4.0,2014-07-21 22:46:20,2014-12-17 14:37:02,cs109/2014,inactive,,2021-04-19 01:25:20.750834
DP100,https://github.com/MicrosoftLearning/DP100,NEW,Courses,2021-07-01 14:49:55,503.0,519.0,2.0,2020-01-06 20:38:41,2020-12-30 17:22:42,MicrosoftLearning/DP100,active,,2021-04-19 01:25:20.750834
machine-learning-coursera-1,https://github.com/Borye/machine-learning-coursera-1,NEW,Courses,2021-06-28 10:38:33,1112.0,938.0,1.0,2014-08-28 10:48:18,2014-06-17 10:37:27,Borye/machine-learning-coursera-1,inactive,,2021-04-19 01:25:20.750834
awesome-ml-courses,https://github.com/luspr/awesome-ml-courses,NEW,Courses,2021-07-03 02:25:46,2017.0,221.0,4.0,2020-05-08 20:41:59,2021-02-18 20:26:31,luspr/awesome-ml-courses,active,,2021-04-19 01:25:20.750834
Stanford-Machine-Learning-Course,https://github.com/zhouxc/Stanford-Machine-Learning-Course,NEW,Courses,2021-06-29 08:12:17,513.0,365.0,1.0,2011-12-25 10:00:48,2011-12-25 10:01:12,zhouxc/Stanford-Machine-Learning-Course,inactive,,2021-04-19 01:25:20.750834
dive-into-machine-learning,https://github.com/hangtwenty/dive-into-machine-learning,NEW,Courses,2021-07-03 22:26:05,10601.0,1942.0,30.0,2015-02-22 23:48:16,2021-03-15 05:34:55,hangtwenty/dive-into-machine-learning,active,,2021-04-19 01:25:20.750834
deploying-machine-learning-models,https://github.com/trainindata/deploying-machine-learning-models,NEW,Courses,2021-06-26 06:58:26,316.0,2945.0,2.0,2019-01-09 20:30:46,2021-06-20 20:37:28,trainindata/deploying-machine-learning-models,active,,2021-04-19 01:25:20.750834
machine-learning-online-2018,https://github.com/coding-blocks-archives/machine-learning-online-2018,NEW,Courses,2021-07-02 12:31:34,262.0,524.0,3.0,2018-07-18 04:24:58,2020-07-02 09:24:40,coding-blocks-archives/machine-learning-online-2018,active,,2021-04-19 01:25:20.750834
tensorflow-without-a-phd,https://github.com/GoogleCloudPlatform/tensorflow-without-a-phd,NEW,Courses,2021-07-03 16:56:02,2413.0,845.0,11.0,2018-05-09 18:33:40,2020-06-03 21:08:32,GoogleCloudPlatform/tensorflow-without-a-phd,active,,2021-04-19 01:25:20.750834
Udemy---Machine-Learning,https://github.com/jmportilla/Udemy---Machine-Learning,NEW,Courses,2021-06-15 09:17:29,208.0,408.0,3.0,2015-04-27 22:44:40,2016-07-06 23:58:33,jmportilla/Udemy---Machine-Learning,inactive,,2021-04-19 01:25:20.750834
master,https://github.com/ML-course/master,NEW,Courses,2021-06-03 03:57:21,341.0,174.0,11.0,2017-02-04 22:44:35,2021-04-23 22:36:34,ML-course/master,active,,2021-04-19 01:25:20.750834
machine-learning-coursera,https://github.com/yhyap/machine-learning-coursera,NEW,Courses,2021-06-30 14:10:34,231.0,196.0,1.0,2013-05-03 09:41:53,2013-05-05 11:58:38,yhyap/machine-learning-coursera,inactive,,2021-04-19 01:25:20.750834
Rating Industries,http://www.ratingshistory.info/,,Data,,,,,,,,,,
cointrader,https://github.com/timolson/cointrader,java based platform for trading crypto. Relevant sections including using esper event queries to transform data and place orders,Data Processing Techniques and Transformations,2021-06-29 10:50:52,365.0,145.0,9.0,2014-06-01 01:14:12,2021-05-19 17:05:49,timolson/cointrader,active,2.0,12:49.2
CryptoNets,https://github.com/microsoft/CryptoNets,CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with [Homomorphic Encryption](https://www.cs.cmu.edu/~odonnell/hits09/gentry-homomorphic-encryption.pdf). Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted.,Data Processing Techniques and Transformations,2021-06-12 18:53:10,160.0,46.0,4.0,2019-06-02 05:48:39,2019-09-12 13:03:05,microsoft/CryptoNets,active,2.0,12:49.2
Google-Finance-Stock-Data-Analysis,https://github.com/hpnhxxwn/Google-Finance-Stock-Data-Analysis,data processing platform which stream data from kafka. The example shows two incoming data stream stock vs tweets and two spark streams are created to consume the kafka data then end results are stored in cassandra. Older tech stacks were used and not actively maintained.,Data Processing Techniques and Transformations,2021-04-24 12:13:48,71.0,10.0,1.0,2017-07-23 02:59:59,2017-07-23 03:10:35,hpnhxxwn/Google-Finance-Stock-Data-Analysis,inactive,3.0,12:49.2
Advanced ML,https://github.com/BlackArbsCEO/Adv_Fin_ML_Exercises,Exercises to book [advances in financial machine learning](https://www.wiley.com/en-us/Advances+in+Financial+Machine+Learning-p-9781119482109). Relevant topics include data cleaning and outlier detection (using MAD),Data Processing Techniques and Transformations,2021-07-01 20:31:36,1039.0,454.0,4.0,2018-04-25 17:22:40,2020-01-16 17:25:41,BlackArbsCEO/Adv_Fin_ML_Exercises,active,4.0,
Employee Count SEC Filings,https://github.com/healthgradient/sec_employee_information_extraction,,Data,2021-04-18 03:25:43,11.0,2.0,1.0,2018-06-26 23:33:51,2018-08-14 01:31:13,healthgradient/sec_employee_information_extraction,inactive,,
Capital Markets Data,https://www.capitalmarketsdata.com/,,Data,,,,,,,,,,
Financial Corporate,http://raw.rutgers.edu/Corporate%20Financial%20Data.html,,Data,,,,,,,,,,
https://github.com/timestocome/StockMarketData,https://github.com/timestocome/StockMarketData,,Data,2021-06-26 07:19:31,7.0,5.0,1.0,2017-05-10 21:49:45,2017-08-06 19:23:18,timestocome/StockMarketData,inactive,,
EDGAR,https://github.com/TiesdeKok/UW_Python_Camp/blob/master/Materials/Session_5/EDGAR_walkthrough.ipynb,,Data,2021-06-29 15:03:48,13.0,11.0,1.0,2018-06-11 22:51:57,2018-07-10 18:03:52,TiesdeKok/UW_Python_Camp,inactive,,
SEC Parsing,https://github.com/healthgradient/sec-doc-info-extraction/blob/master/classify_sections_containing_relevant_information.ipynb,,Data,2021-02-27 06:34:55,9.0,6.0,1.0,2018-06-16 14:30:06,2018-06-16 17:23:46,healthgradient/sec-doc-info-extraction,inactive,,
IRS,http://social-metrics.org/sox/,,Data,,,,,,,,,,
Web Scraping (FirmAI),https://github.com/firmai/business-machine-learning/blob/master/www.firmai.org/data,,Data,2021-07-04 00:08:31,587.0,190.0,2.0,2019-02-19 19:02:59,2020-07-22 16:48:21,firmai/business-machine-learning,active,,
https://stooq.com,https://stooq.com,,Data,,,,,,,,,,
Non-financial Corporate,http://raw.rutgers.edu/Non-Financial%20Corporate%20Data.html,,Data,,,,,,,,,,
http://finance.yahoo.com/,http://finance.yahoo.com/,,Data,,,,,,,,,,
https://fred.stlouisfed.org/,https://fred.stlouisfed.org/,,Data,,,,,,,,,,
Open Edgar,https://github.com/LexPredict/openedgar,,Data,2021-06-23 20:36:15,180.0,64.0,6.0,2018-05-07 15:32:31,2019-05-15 08:32:30,LexPredict/openedgar,inactive,,
finserv-application-blueprint,https://github.com/mapr-demos/finserv-application-blueprint,generate streamable data using mapr converged data platfrom built mostly in java. Uses apache [zepplin](https://zeppelin.apache.org/) for web visualization ,Data Processing Techniques and Transformations,2021-06-08 14:08:51,73.0,53.0,5.0,2016-09-26 19:42:54,2021-06-07 17:38:13,mapr-demos/finserv-application-blueprint,active,2.0,12:49.2
Advanced ML,https://github.com/BlackArbsCEO/Adv_Fin_ML_Exercises,Exercises to book [advances in financial machine learning](https://www.wiley.com/en-us/Advances+in+Financial+Machine+Learning-p-9781119482109). Relevant topics include data cleaning and outlier detection (using MAD),Data Processing Techniques and Transformations,2021-07-01 20:31:36,1039.0,454.0,4.0,2018-04-25 17:22:40,2020-01-16 17:25:41,BlackArbsCEO/Adv_Fin_ML_Exercises,active,4.0,
Twitter-Trends,https://github.com/Medha11/Twitter-Trends,sentiment analysis baed on twitter data. Relevant topics include data cleaning/tokenization/data aggregation using mangodb etc.,Data Processing Techniques and Transformations,2021-07-03 23:16:43,70.0,20.0,1.0,2017-05-22 17:07:45,2017-05-23 08:06:27,Medha11/Twitter-Trends,inactive,3.0,12:49.2
CryptoNets,https://github.com/microsoft/CryptoNets,CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with [Homomorphic Encryption](https://www.cs.cmu.edu/~odonnell/hits09/gentry-homomorphic-encryption.pdf). Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted.,Data Processing Techniques and Transformations,2021-06-12 18:53:10,160.0,46.0,4.0,2019-06-02 05:48:39,2019-09-12 13:03:05,microsoft/CryptoNets,active,2.0,12:49.2
cointrader,https://github.com/timolson/cointrader,java based platform for trading crypto. Relevant sections including using esper event queries to transform data and place orders,Data Processing Techniques and Transformations,2021-06-29 10:50:52,365.0,145.0,9.0,2014-06-01 01:14:12,2021-05-19 17:05:49,timolson/cointrader,active,2.0,12:49.2
Google-Finance-Stock-Data-Analysis,https://github.com/hpnhxxwn/Google-Finance-Stock-Data-Analysis,data processing platform which stream data from kafka. The example shows two incoming data stream stock vs tweets and two spark streams are created to consume the kafka data then end results are stored in cassandra. Older tech stacks were used and not actively maintained.,Data Processing Techniques and Transformations,2021-04-24 12:13:48,71.0,10.0,1.0,2017-07-23 02:59:59,2017-07-23 03:10:35,hpnhxxwn/Google-Finance-Stock-Data-Analysis,inactive,3.0,12:49.2
Personae,https://github.com/Ceruleanacg/Personae,implementation of deep reinforcement learning and supervised learnings covering areas: deep deterministic policy gradient (DDPG) and DDQN etc. Data are being pulled from [rqalpha](https://github.com/ricequant/rqalpha) which is a python backtest engine and have a nice docker image to run training/testing,Deep Learning And Reinforcement Learning,2021-06-22 10:41:57,1153.0,334.0,2.0,2018-03-10 11:22:00,2018-09-02 17:21:38,Ceruleanacg/Personae,inactive,5.0,3/31/21 8:00
RL IV,https://github.com/jjakimoto/DQN,Reinforcement Learning for finance.,Deep Learning And Reinforcement Learning,2021-05-31 10:06:44,143.0,55.0,1.0,2016-10-21 02:47:17,2017-04-07 08:11:57,jjakimoto/DQN,inactive,,
RL II,https://github.com/deependersingla/deep_trader,reinforcement learning on stock market and agent tries to learn trading.,Deep Learning And Reinforcement Learning,2021-07-01 16:53:08,1355.0,489.0,3.0,2016-06-11 07:27:10,2018-01-22 14:35:50,deependersingla/deep_trader,inactive,3.0,
RL V,https://github.com/gstenger98/rl-finance,Building an Agent to Trade with Reinforcement Learning.,Deep Learning And Reinforcement Learning,2021-04-08 18:57:53,33.0,9.0,5.0,2019-01-16 00:43:36,2020-03-19 20:28:08,gstenger98/rl-finance,active,2.0,
FinRL,https://github.com/AI4Finance-LLC/FinRL,NEW,Deep Learning And Reinforcement Learning,2021-07-03 19:56:14,2237.0,582.0,22.0,2020-07-26 13:18:16,2021-07-03 18:16:42,AI4Finance-LLC/FinRL,active,,13:03.7
Deep Learning,https://github.com/keon/deepstock,Technical experimentations to beat the stock market using deep learning.,Deep Learning And Reinforcement Learning,2021-06-28 07:18:52,430.0,154.0,2.0,2016-12-12 02:15:12,2017-03-04 08:37:29,keon/deepstock,inactive,4.0,
LTSM Recurrent,https://github.com/VivekPa/AIAlpha,OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network.,Deep Learning And Reinforcement Learning,2021-06-30 07:55:30,1252.0,387.0,2.0,2018-10-07 03:58:26,2019-08-03 09:00:44,VivekPa/AIAlpha,active,4.0,
Deep Learning IV,https://github.com/achillesrasquinha/bulbea,Bulbea: Deep Learning based Python Library.,Deep Learning And Reinforcement Learning,2021-07-03 12:31:56,1506.0,423.0,1.0,2017-03-09 06:11:06,2017-03-19 07:42:49,achillesrasquinha/bulbea,inactive,5.0,
Machine-Learning-and-Reinforcement-Learning-in-Finance,https://github.com/joelowj/Machine-Learning-and-Reinforcement-Learning-in-Finance,NEW,Deep Learning And Reinforcement Learning,2021-07-02 03:29:00,183.0,96.0,1.0,2018-06-26 04:30:08,2018-09-23 16:50:33,joelowj/Machine-Learning-and-Reinforcement-Learning-in-Finance,inactive,,39:11.1
Deep-Reinforcement-Stock-Trading,https://github.com/Albert-Z-Guo/Deep-Reinforcement-Stock-Trading,inspired by Q-trader a deep reinforcement learning repo for trading. Only 3 actions allowed (buy/hold/sell) and no transaction cost is implemented yet. Uses [empyrical](https://github.com/quantopian/empyrical) for portfolio stats,Deep Learning And Reinforcement Learning,2021-07-02 03:14:09,162.0,46.0,2.0,2019-05-19 22:20:05,2020-09-27 19:22:28,Albert-Z-Guo/Deep-Reinforcement-Stock-Trading,active,3.0,3/31/21 8:00
Neural Network,https://github.com/VivekPa/IntroNeuralNetworks,Neural networks to predict stock prices.,Deep Learning And Reinforcement Learning,2021-07-03 06:23:41,516.0,178.0,2.0,2018-09-10 06:34:53,2018-11-21 07:39:31,VivekPa/IntroNeuralNetworks,inactive,4.0,
RLTrader,https://github.com/notadamking/RLTrader,predecessor to [tensortrade](https://github.com/tensortrade-org/tensortrade) uses open api [gym](https://gym.openai.com/) and neat way to render matplotlib plots in real time. Also explains LSTM/data stationarity/Bayesian optimization using [Optuna](https://github.com/optuna/optuna) etc.,Deep Learning And Reinforcement Learning,2021-06-30 13:54:10,1368.0,475.0,15.0,2019-04-27 18:35:15,2019-10-17 16:25:49,notadamking/RLTrader,active,5.0,3/31/21 8:00
gym-trading,https://github.com/hackthemarket/gym-trading,NEW,Deep Learning And Reinforcement Learning,2021-07-03 07:06:51,596.0,198.0,2.0,2016-12-09 20:46:19,2017-12-24 15:34:37,hackthemarket/gym-trading,inactive,,39:11.1
Deep Learning II,https://github.com/LiamConnell/deep-algotrading/tree/master/notebooks,Tensorflow Regression.,Deep Learning And Reinforcement Learning,2021-06-24 15:46:03,179.0,68.0,1.0,2016-07-12 12:56:10,2018-02-16 02:43:36,LiamConnell/deep-algotrading,inactive,3.0,
trading-rl,https://github.com/Kostis-S-Z/trading-rl,Deep reinforcement learning for financial trading using [gym](https://gym.openai.com/) and [keras-rl](https://github.com/keras-rl/keras-rl) on FX dataset (EURUSD) not actively maintained,Deep Learning And Reinforcement Learning,2021-06-25 07:52:45,182.0,38.0,2.0,2019-04-22 10:03:21,2020-09-28 09:07:18,Kostis-S-Z/trading-rl,active,3.0,3/31/21 8:00
RL III,https://github.com/samre12/deep-trading-agent,Github -Deep Reinforcement Learning based Trading Agent for Bitcoin.,Deep Learning And Reinforcement Learning,2021-06-27 06:41:46,598.0,205.0,1.0,2017-09-21 17:05:19,2018-04-13 16:33:21,samre12/deep-trading-agent,inactive,3.0,
maro,https://github.com/microsoft/maro,NEW,Deep Learning And Reinforcement Learning,2021-07-03 14:21:08,441.0,79.0,19.0,2019-12-27 06:48:27,2021-07-02 07:56:16,microsoft/maro,active,,39:11.1
tensortrade,https://github.com/tensortrade-org/tensortrade,NEW,Deep Learning And Reinforcement Learning,2021-07-03 12:43:58,3295.0,773.0,42.0,2019-07-30 21:28:32,2021-06-19 21:14:43,tensortrade-org/tensortrade,active,,39:11.1
TradingGym,https://github.com/Yvictor/TradingGym,NEW,Deep Learning And Reinforcement Learning,2021-07-03 06:08:49,886.0,244.0,2.0,2017-05-01 13:53:32,2018-02-14 13:58:18,Yvictor/TradingGym,inactive,,39:11.1
Advanced-Deep-Trading,https://github.com/Rachnog/Advanced-Deep-Trading,"notebooks containing experiments based on Lopez de Prado book ""Advances in financial machine learning"". Mostly not deep learning related but rather sklearn regression models. Interesting libraries include [mlfinlab](https://github.com/hudson-and-thames/mlfinlab) for calculating return stats and [shap](https://github.com/slundberg/shap) for explaining models. Examlpe of shap can be which features are pushing the value up and and which features are pushing the value down. Also contain functions for calculating geometric brownian motion and jump diffusion functions. ",Deep Learning And Reinforcement Learning,2021-06-17 06:48:21,331.0,162.0,2.0,2019-02-16 21:18:00,2020-11-29 20:12:59,Rachnog/Advanced-Deep-Trading,active,3.0,3/31/21 8:00
Stock-Prediction-Models,https://github.com/huseinzol05/Stock-Prediction-Models,very good curated list of notebooks showing deep learning + reinforcement learning models. Also contain topics on outlier detections/overbought oversold study/monte carlo simulartions/sentiment analysis from text (text storage/parsing is not detailed but it mentioned using [BERT](https://github.com/google-research/bert)),Deep Learning And Reinforcement Learning,2021-07-03 19:43:55,4094.0,1682.0,2.0,2017-12-18 10:49:59,2021-01-05 10:31:50,huseinzol05/Stock-Prediction-Models,active,5.0,3/31/21 8:00
ARIMA-LTSM Hybrid,https://github.com/imhgchoi/Corr_Prediction_ARIMA_LSTM_Hybrid,Hybrid model to predict future price correlation coefficients of two assets.,Deep Learning And Reinforcement Learning,2021-07-03 08:37:20,230.0,92.0,1.0,2018-08-05 02:13:21,2018-10-01 11:25:53,imhgchoi/ARIMA-LSTM-hybrid-corrcoef-predict,inactive,3.0,
Pair-Trading-Reinforcement-Learning,https://github.com/wai-i/Pair-Trading-Reinforcement-Learning,NEW,Deep Learning And Reinforcement Learning,2021-06-25 10:28:25,144.0,60.0,1.0,2019-06-09 22:50:37,2020-01-03 15:36:22,wai-i/Pair-Trading-Reinforcement-Learning,active,,39:11.1
RL,https://github.com/kh-kim/stock_market_reinforcement_learning,OpenGym with Deep Q-learning and Policy Gradient.,Deep Learning And Reinforcement Learning,2021-06-22 23:14:06,727.0,303.0,1.0,2016-10-04 14:42:19,2016-12-23 07:34:08,kh-kim/stock_market_reinforcement_learning,inactive,2.0,
pairstrade-fyp-2019,https://github.com/wywongbd/pairstrade-fyp-2019,NEW,Deep Learning And Reinforcement Learning,2021-06-28 16:59:22,127.0,42.0,2.0,2018-09-07 07:51:06,2020-05-13 05:06:51,wywongbd/pairstrade-fyp-2019,active,,39:11.1
FinRL-Library,https://github.com/AI4Finance-LLC/FinRL-Library,started by Columbia university engineering students and designed as an end to end deep reinforcement learning library for automated trading platform. Implementation of DQN DDQN DDPG etc using PyTorch and [gym](https://gym.openai.com/) use [pyfolio](https://github.com/quantopian/pyfolio) for showing backtesting stats. Big contributions on Proximal Policy Optimization (PPO) advantage actor critic (A2C) and Deep Deterministic Policy Gradient (DDPG) agents for trading,Deep Learning And Reinforcement Learning,2021-07-03 19:56:14,2237.0,582.0,22.0,2020-07-26 13:18:16,2021-07-03 18:16:42,AI4Finance-LLC/FinRL,active,5.0,3/31/21 8:00
DeepLearningInFinance,https://github.com/sonaam1234/DeepLearningInFinance,Based on a [talk](https://towardsdatascience.com/deep-learning-in-finance-9e088cb17c03) Sonam Srivastava gave and there are two studies: 1. single timeseries return prediction using ARIMA/VAR/SVR/Deep Regression/CNN/LSTM 2. indexed portfolio construction using autoencoders i.e. replicate a index using handful of stocks. ,Deep Learning And Reinforcement Learning,2021-06-03 02:49:19,266.0,147.0,1.0,2017-08-21 16:00:42,2017-08-21 17:23:48,sonaam1234/DeepLearningInFinance,inactive,3.0,3/31/21 8:00
Trading-Gym,https://github.com/thedimlebowski/Trading-Gym,NEW,Deep Learning And Reinforcement Learning,2021-06-30 15:39:34,514.0,146.0,3.0,2017-06-13 13:14:48,2017-07-10 08:09:30,thedimlebowski/Trading-Gym,inactive,,39:11.1
Deep Learning III,https://github.com/Rachnog/Deep-Trading,Algorithmic trading with deep learning experiments.,Deep Learning And Reinforcement Learning,2021-06-30 12:02:28,1285.0,682.0,1.0,2016-06-18 18:23:06,2018-08-07 15:24:45,Rachnog/Deep-Trading,inactive,5.0,
trading-bot,https://github.com/pskrunner14/trading-bot,Implementation of deep reinforcement learning using Deep Q Network (DQN). Only supports single security at the moment. Idea is roughly based [here](https://keon.github.io/deep-q-learning/) and uses tensorflow/keras. Interesting helper python libraries used here are [tqdm](https://tqdm.github.io/) for console based progress bar and [altair](https://altair-viz.github.io/) for declarative visualization in python ,Deep Learning And Reinforcement Learning,2021-07-03 00:42:07,333.0,163.0,1.0,2018-08-13 10:44:08,2020-01-23 04:41:20,pskrunner14/trading-bot,active,3.0,3/31/21 8:00
deep-RL-trading,https://github.com/golsun/deep-RL-trading,trading game comparing RNN vs CNN vs MLP based on [paper](https://arxiv.org/abs/1803.03916),Deep Learning And Reinforcement Learning,2021-06-26 22:55:45,251.0,112.0,1.0,2018-02-25 17:41:42,2020-12-01 22:06:39,golsun/deep-RL-trading,active,3.0,3/31/21 8:00
crypto-rl,https://github.com/sadighian/crypto-rl,Retrieve limit order book level data from coinbase pro and bitfinex -> record in [arctic](https://github.com/man-group/arctic) timeseries database then implemented trend following strategies (market orders) and market making (limit orders). Uses reinforcement learning (DQN) [keras-rl](https://github.com/keras-rl/keras-rl) to create agents and uses [openai gym](https://gym.openai.com/) to implement POMDP (partially observable markov decision process),Deep Learning And Reinforcement Learning,2021-07-02 07:45:07,396.0,119.0,1.0,2018-06-21 01:06:01,2020-11-05 11:08:19,sadighian/crypto-rl,active,3.0,3/31/21 8:00
Deep-Learning-Machine-Learning-Stock,https://github.com/LastAncientOne/Deep-Learning-Machine-Learning-Stock,curated list of notebooks for machine learning models. Start with very simple linear models to more advanced reinforcement learning type of models. Problem with this repo is that the library version numbers may be changing over time and there's no specific way to track and upgrade,Deep Learning And Reinforcement Learning,2021-06-29 04:18:10,318.0,116.0,1.0,2018-09-29 23:38:06,2021-06-23 01:52:12,LastAncientOne/Deep-Learning-Machine-Learning-Stock,active,3.0,3/31/21 8:00
@@ -124,8 +150,8 @@ LTSM GRU,https://github.com/RajatHanda/Finance-Forecasting,Stock Market Forecast
QLearning_Trading,https://github.com/ucaiado/QLearning_Trading,NEW,Deep Learning And Reinforcement Learning,2021-06-30 23:20:12,447.0,172.0,1.0,2016-08-10 06:02:23,2016-10-15 02:36:09,ucaiado/QLearning_Trading,inactive,,39:11.1
a3c_trading,https://github.com/evgps/a3c_trading,NEW,Deep Learning And Reinforcement Learning,2021-06-30 02:13:36,323.0,104.0,1.0,2018-06-04 15:30:16,2020-05-23 14:47:54,evgps/a3c_trading,active,,39:11.1
TradingGym,https://github.com/cove9988/TradingGym,NEW,Deep Learning And Reinforcement Learning,2021-06-25 08:29:32,114.0,38.0,3.0,2017-11-06 00:50:01,2017-11-15 23:55:32,cove9988/TradingGym,inactive,,39:11.1
pairstrade-fyp-2019,https://github.com/wywongbd/pairstrade-fyp-2019,NEW,Deep Learning And Reinforcement Learning,2021-06-28 16:59:22,127.0,42.0,2.0,2018-09-07 07:51:06,2020-05-13 05:06:51,wywongbd/pairstrade-fyp-2019,active,,39:11.1
AutomatedStockTrading-DeepQ-Learning,https://github.com/sachink2010/AutomatedStockTrading-DeepQ-Learning,cornerstone project repo for Udacity nanodegree program [Become a machine learning engineer](https://www.udacity.com/course/machine-learning-engineer-nanodegree--nd009t) and focus on trading using deep q learning. Good explanation on design choices in the report,Deep Learning And Reinforcement Learning,2021-06-25 08:06:20,134.0,54.0,2.0,2019-02-23 12:01:21,2020-02-25 18:16:34,sachink2010/AutomatedStockTrading-DeepQ-Learning,active,3.0,3/31/21 8:00
trading-bot,https://github.com/pskrunner14/trading-bot,Implementation of deep reinforcement learning using Deep Q Network (DQN). Only supports single security at the moment. Idea is roughly based [here](https://keon.github.io/deep-q-learning/) and uses tensorflow/keras. Interesting helper python libraries used here are [tqdm](https://tqdm.github.io/) for console based progress bar and [altair](https://altair-viz.github.io/) for declarative visualization in python ,Deep Learning And Reinforcement Learning,2021-07-03 00:42:07,333.0,163.0,1.0,2018-08-13 10:44:08,2020-01-23 04:41:20,pskrunner14/trading-bot,active,3.0,3/31/21 8:00
Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020,https://github.com/AI4Finance-LLC/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020,Part of FinRL and provided code for paper [deep reinformacement learning for automated stock trading](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3690996) focuses on ensemble.,Deep Learning And Reinforcement Learning,2021-07-03 19:28:45,691.0,307.0,6.0,2020-07-26 13:12:53,2021-01-21 18:11:59,AI4Finance-LLC/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020,active,4.0,3/31/21 8:00
RL Trading,https://colab.research.google.com/drive/1FzLCI0AO3c7A4bp9Fi01UwXeoc7BN8sW,A collection of 25+ Reinforcement Learning Trading Strategies -Google Colab.,Deep Learning And Reinforcement Learning,,,,,,,,,4.0,
awesome-deep-trading,https://github.com/cbailes/awesome-deep-trading,curated list of papers/repos on topics like CNN/LSTM/GAN/Reinforcement Learning etc. Categorized as deep learning for now but there are other topics here. Manually maintained by cbailes,Deep Learning And Reinforcement Learning,2021-07-03 00:38:56,646.0,159.0,1.0,2018-11-26 03:23:04,2021-01-01 09:41:21,cbailes/awesome-deep-trading,active,4.0,3/31/21 8:00
AI Trading,https://github.com/borisbanushev/stockpredictionai/blob/master/readme2.md,AI to predict stock market movements.,Deep Learning And Reinforcement Learning,2021-07-03 19:40:58,2999.0,1428.0,1.0,2019-01-09 08:02:47,2019-02-11 16:32:47,borisbanushev/stockpredictionai,inactive,5.0,
@@ -133,44 +159,39 @@ Deep-Reinforcement-Learning-in-Trading,https://github.com/saeed349/Deep-Reinforc
Pair Trading RL,https://github.com/shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading,Using deep actor-critic model to learn best strategies in pair trading.,Deep Learning And Reinforcement Learning,2021-06-23 21:18:24,249.0,117.0,1.0,2017-05-18 16:47:11,2017-05-18 16:56:38,shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading,inactive,3.0,
RLQuant,https://github.com/yuriak/RLQuant,NEW,Deep Learning And Reinforcement Learning,2021-06-25 03:38:28,279.0,94.0,1.0,2018-04-05 05:42:44,2018-08-13 04:18:29,yuriak/RLQuant,inactive,,39:11.1
BitcoinForecast,https://github.com/PiSimo/BitcoinForecast,RNN model to predict short term price movement (in this case BTC for the next 9 minutes) [deepchart](https://pisimo.github.io/DeepChart/) is used to visualize the model ,Deep Learning And Reinforcement Learning,2021-06-26 06:24:53,303.0,133.0,3.0,2017-03-10 10:52:02,2018-06-11 08:07:02,PiSimo/BitcoinForecast,inactive,3.0,3/31/21 8:00
Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020,https://github.com/AI4Finance-LLC/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020,Part of FinRL and provided code for paper [deep reinformacement learning for automated stock trading](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3690996) focuses on ensemble.,Deep Learning And Reinforcement Learning,2021-07-03 19:28:45,691.0,307.0,6.0,2020-07-26 13:12:53,2021-01-21 18:11:59,AI4Finance-LLC/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020,active,4.0,3/31/21 8:00
rl_trading,https://github.com/ucaiado/rl_trading,NEW,Deep Learning And Reinforcement Learning,2021-05-25 06:17:53,212.0,92.0,1.0,2017-05-29 22:19:00,2017-08-29 14:54:50,ucaiado/rl_trading,inactive,,39:11.1
DQN-DDPG_Stock_Trading,https://github.com/AI4Finance-LLC/DQN-DDPG_Stock_Trading,merged into FinRL library and uses [gym](https://gym.openai.com/) and implementation of DQN,Deep Learning And Reinforcement Learning,2021-07-03 19:33:44,149.0,56.0,4.0,2018-09-19 03:17:06,2020-11-26 16:58:00,AI4Finance-LLC/DQN-DDPG_Stock_Trading,active,3.0,3/31/21 8:00
FinRL-Library,https://github.com/AI4Finance-LLC/FinRL-Library,started by Columbia university engineering students and designed as an end to end deep reinforcement learning library for automated trading platform. Implementation of DQN DDQN DDPG etc using PyTorch and [gym](https://gym.openai.com/) use [pyfolio](https://github.com/quantopian/pyfolio) for showing backtesting stats. Big contributions on Proximal Policy Optimization (PPO) advantage actor critic (A2C) and Deep Deterministic Policy Gradient (DDPG) agents for trading,Deep Learning And Reinforcement Learning,2021-07-03 19:56:14,2237.0,582.0,22.0,2020-07-26 13:18:16,2021-07-03 18:16:42,AI4Finance-LLC/FinRL,active,5.0,3/31/21 8:00
DeepLearningInFinance,https://github.com/sonaam1234/DeepLearningInFinance,Based on a [talk](https://towardsdatascience.com/deep-learning-in-finance-9e088cb17c03) Sonam Srivastava gave and there are two studies: 1. single timeseries return prediction using ARIMA/VAR/SVR/Deep Regression/CNN/LSTM 2. indexed portfolio construction using autoencoders i.e. replicate a index using handful of stocks. ,Deep Learning And Reinforcement Learning,2021-06-03 02:49:19,266.0,147.0,1.0,2017-08-21 16:00:42,2017-08-21 17:23:48,sonaam1234/DeepLearningInFinance,inactive,3.0,3/31/21 8:00
RL,https://github.com/kh-kim/stock_market_reinforcement_learning,OpenGym with Deep Q-learning and Policy Gradient.,Deep Learning And Reinforcement Learning,2021-06-22 23:14:06,727.0,303.0,1.0,2016-10-04 14:42:19,2016-12-23 07:34:08,kh-kim/stock_market_reinforcement_learning,inactive,2.0,
ARIMA-LTSM Hybrid,https://github.com/imhgchoi/Corr_Prediction_ARIMA_LSTM_Hybrid,Hybrid model to predict future price correlation coefficients of two assets.,Deep Learning And Reinforcement Learning,2021-07-03 08:37:20,230.0,92.0,1.0,2018-08-05 02:13:21,2018-10-01 11:25:53,imhgchoi/ARIMA-LSTM-hybrid-corrcoef-predict,inactive,3.0,
LTSM Recurrent,https://github.com/VivekPa/AIAlpha,OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network.,Deep Learning And Reinforcement Learning,2021-06-30 07:55:30,1252.0,387.0,2.0,2018-10-07 03:58:26,2019-08-03 09:00:44,VivekPa/AIAlpha,active,4.0,
RL IV,https://github.com/jjakimoto/DQN,Reinforcement Learning for finance.,Deep Learning And Reinforcement Learning,2021-05-31 10:06:44,143.0,55.0,1.0,2016-10-21 02:47:17,2017-04-07 08:11:57,jjakimoto/DQN,inactive,,
RL II,https://github.com/deependersingla/deep_trader,reinforcement learning on stock market and agent tries to learn trading.,Deep Learning And Reinforcement Learning,2021-07-01 16:53:08,1355.0,489.0,3.0,2016-06-11 07:27:10,2018-01-22 14:35:50,deependersingla/deep_trader,inactive,3.0,
RL V,https://github.com/gstenger98/rl-finance,Building an Agent to Trade with Reinforcement Learning.,Deep Learning And Reinforcement Learning,2021-04-08 18:57:53,33.0,9.0,5.0,2019-01-16 00:43:36,2020-03-19 20:28:08,gstenger98/rl-finance,active,2.0,
FinRL,https://github.com/AI4Finance-LLC/FinRL,NEW,Deep Learning And Reinforcement Learning,2021-07-03 19:56:14,2237.0,582.0,22.0,2020-07-26 13:18:16,2021-07-03 18:16:42,AI4Finance-LLC/FinRL,active,,13:03.7
Deep Learning,https://github.com/keon/deepstock,Technical experimentations to beat the stock market using deep learning.,Deep Learning And Reinforcement Learning,2021-06-28 07:18:52,430.0,154.0,2.0,2016-12-12 02:15:12,2017-03-04 08:37:29,keon/deepstock,inactive,4.0,
Deep Learning IV,https://github.com/achillesrasquinha/bulbea,Bulbea: Deep Learning based Python Library.,Deep Learning And Reinforcement Learning,2021-07-03 12:31:56,1506.0,423.0,1.0,2017-03-09 06:11:06,2017-03-19 07:42:49,achillesrasquinha/bulbea,inactive,5.0,
Machine-Learning-and-Reinforcement-Learning-in-Finance,https://github.com/joelowj/Machine-Learning-and-Reinforcement-Learning-in-Finance,NEW,Deep Learning And Reinforcement Learning,2021-07-02 03:29:00,183.0,96.0,1.0,2018-06-26 04:30:08,2018-09-23 16:50:33,joelowj/Machine-Learning-and-Reinforcement-Learning-in-Finance,inactive,,39:11.1
Deep-Reinforcement-Stock-Trading,https://github.com/Albert-Z-Guo/Deep-Reinforcement-Stock-Trading,inspired by Q-trader a deep reinforcement learning repo for trading. Only 3 actions allowed (buy/hold/sell) and no transaction cost is implemented yet. Uses [empyrical](https://github.com/quantopian/empyrical) for portfolio stats,Deep Learning And Reinforcement Learning,2021-07-02 03:14:09,162.0,46.0,2.0,2019-05-19 22:20:05,2020-09-27 19:22:28,Albert-Z-Guo/Deep-Reinforcement-Stock-Trading,active,3.0,3/31/21 8:00
Personae,https://github.com/Ceruleanacg/Personae,implementation of deep reinforcement learning and supervised learnings covering areas: deep deterministic policy gradient (DDPG) and DDQN etc. Data are being pulled from [rqalpha](https://github.com/ricequant/rqalpha) which is a python backtest engine and have a nice docker image to run training/testing,Deep Learning And Reinforcement Learning,2021-06-22 10:41:57,1153.0,334.0,2.0,2018-03-10 11:22:00,2018-09-02 17:21:38,Ceruleanacg/Personae,inactive,5.0,3/31/21 8:00
Neural Network,https://github.com/VivekPa/IntroNeuralNetworks,Neural networks to predict stock prices.,Deep Learning And Reinforcement Learning,2021-07-03 06:23:41,516.0,178.0,2.0,2018-09-10 06:34:53,2018-11-21 07:39:31,VivekPa/IntroNeuralNetworks,inactive,4.0,
Pair-Trading-Reinforcement-Learning,https://github.com/wai-i/Pair-Trading-Reinforcement-Learning,NEW,Deep Learning And Reinforcement Learning,2021-06-25 10:28:25,144.0,60.0,1.0,2019-06-09 22:50:37,2020-01-03 15:36:22,wai-i/Pair-Trading-Reinforcement-Learning,active,,39:11.1
gym-trading,https://github.com/hackthemarket/gym-trading,NEW,Deep Learning And Reinforcement Learning,2021-07-03 07:06:51,596.0,198.0,2.0,2016-12-09 20:46:19,2017-12-24 15:34:37,hackthemarket/gym-trading,inactive,,39:11.1
Deep Learning II,https://github.com/LiamConnell/deep-algotrading/tree/master/notebooks,Tensorflow Regression.,Deep Learning And Reinforcement Learning,2021-06-24 15:46:03,179.0,68.0,1.0,2016-07-12 12:56:10,2018-02-16 02:43:36,LiamConnell/deep-algotrading,inactive,3.0,
trading-rl,https://github.com/Kostis-S-Z/trading-rl,Deep reinforcement learning for financial trading using [gym](https://gym.openai.com/) and [keras-rl](https://github.com/keras-rl/keras-rl) on FX dataset (EURUSD) not actively maintained,Deep Learning And Reinforcement Learning,2021-06-25 07:52:45,182.0,38.0,2.0,2019-04-22 10:03:21,2020-09-28 09:07:18,Kostis-S-Z/trading-rl,active,3.0,3/31/21 8:00
RL III,https://github.com/samre12/deep-trading-agent,Github -Deep Reinforcement Learning based Trading Agent for Bitcoin.,Deep Learning And Reinforcement Learning,2021-06-27 06:41:46,598.0,205.0,1.0,2017-09-21 17:05:19,2018-04-13 16:33:21,samre12/deep-trading-agent,inactive,3.0,
RLTrader,https://github.com/notadamking/RLTrader,predecessor to [tensortrade](https://github.com/tensortrade-org/tensortrade) uses open api [gym](https://gym.openai.com/) and neat way to render matplotlib plots in real time. Also explains LSTM/data stationarity/Bayesian optimization using [Optuna](https://github.com/optuna/optuna) etc.,Deep Learning And Reinforcement Learning,2021-06-30 13:54:10,1368.0,475.0,15.0,2019-04-27 18:35:15,2019-10-17 16:25:49,notadamking/RLTrader,active,5.0,3/31/21 8:00
maro,https://github.com/microsoft/maro,NEW,Deep Learning And Reinforcement Learning,2021-07-03 14:21:08,441.0,79.0,19.0,2019-12-27 06:48:27,2021-07-02 07:56:16,microsoft/maro,active,,39:11.1
tensortrade,https://github.com/tensortrade-org/tensortrade,NEW,Deep Learning And Reinforcement Learning,2021-07-03 12:43:58,3295.0,773.0,42.0,2019-07-30 21:28:32,2021-06-19 21:14:43,tensortrade-org/tensortrade,active,,39:11.1
TradingGym,https://github.com/Yvictor/TradingGym,NEW,Deep Learning And Reinforcement Learning,2021-07-03 06:08:49,886.0,244.0,2.0,2017-05-01 13:53:32,2018-02-14 13:58:18,Yvictor/TradingGym,inactive,,39:11.1
Advanced-Deep-Trading,https://github.com/Rachnog/Advanced-Deep-Trading,"notebooks containing experiments based on Lopez de Prado book ""Advances in financial machine learning"". Mostly not deep learning related but rather sklearn regression models. Interesting libraries include [mlfinlab](https://github.com/hudson-and-thames/mlfinlab) for calculating return stats and [shap](https://github.com/slundberg/shap) for explaining models. Examlpe of shap can be which features are pushing the value up and and which features are pushing the value down. Also contain functions for calculating geometric brownian motion and jump diffusion functions. ",Deep Learning And Reinforcement Learning,2021-06-17 06:48:21,331.0,162.0,2.0,2019-02-16 21:18:00,2020-11-29 20:12:59,Rachnog/Advanced-Deep-Trading,active,3.0,3/31/21 8:00
Stock-Prediction-Models,https://github.com/huseinzol05/Stock-Prediction-Models,very good curated list of notebooks showing deep learning + reinforcement learning models. Also contain topics on outlier detections/overbought oversold study/monte carlo simulartions/sentiment analysis from text (text storage/parsing is not detailed but it mentioned using [BERT](https://github.com/google-research/bert)),Deep Learning And Reinforcement Learning,2021-07-03 19:43:55,4094.0,1682.0,2.0,2017-12-18 10:49:59,2021-01-05 10:31:50,huseinzol05/Stock-Prediction-Models,active,5.0,3/31/21 8:00
rl_trading,https://github.com/ucaiado/rl_trading,NEW,Deep Learning And Reinforcement Learning,2021-05-25 06:17:53,212.0,92.0,1.0,2017-05-29 22:19:00,2017-08-29 14:54:50,ucaiado/rl_trading,inactive,,39:11.1
AutomatedStockTrading-DeepQ-Learning,https://github.com/sachink2010/AutomatedStockTrading-DeepQ-Learning,cornerstone project repo for Udacity nanodegree program [Become a machine learning engineer](https://www.udacity.com/course/machine-learning-engineer-nanodegree--nd009t) and focus on trading using deep q learning. Good explanation on design choices in the report,Deep Learning And Reinforcement Learning,2021-06-25 08:06:20,134.0,54.0,2.0,2019-02-23 12:01:21,2020-02-25 18:16:34,sachink2010/AutomatedStockTrading-DeepQ-Learning,active,3.0,3/31/21 8:00
tda-api,https://github.com/alexgolec/tda-api,NEW,Derivatives and Hedging,2021-06-30 17:49:06,738.0,191.0,17.0,2020-04-03 21:19:12,2021-06-28 16:25:32,alexgolec/tda-api,active,,23:51.4
huobi_futures_Python,https://github.com/hbdmapi/huobi_futures_Python,NEW,Derivatives and Hedging,2021-06-27 12:53:07,195.0,90.0,2.0,2020-01-14 07:21:39,2021-06-25 01:29:01,hbdmapi/huobi_futures_Python,active,,23:51.4
stocktrends,https://github.com/ChillarAnand/stocktrends,NEW,Derivatives and Hedging,2021-07-05 05:26:50,105.0,37.0,1.0,2018-02-06 12:56:48,2021-06-09 03:20:10,ChillarAnand/stocktrends,active,,2021-07-07 01:48:02.687855
AlgorithmicTrading,https://github.com/JerBouma/AlgorithmicTrading,NEW,Derivatives and Hedging,2021-07-03 18:39:09,202.0,60.0,1.0,2019-03-14 09:33:37,2021-02-03 22:29:07,JerBouma/AlgorithmicTrading,active,,23:51.4
Reinforcement Learning,https://github.com/FinTechies/HedgingRL,Hedging portfolios with reinforcement learning.,Derivatives and Hedging,2021-01-20 08:12:13,16.0,10.0,1.0,2017-04-21 10:58:56,2017-08-02 21:41:06,FinTechies/HedgingRL,inactive,,
optopsy,https://github.com/michaelchu/optopsy,NEW,Derivatives and Hedging,2021-07-03 17:55:12,431.0,90.0,3.0,2017-09-17 01:49:54,2021-06-04 16:13:34,michaelchu/optopsy,active,,23:51.4
quant-trading,https://github.com/je-suis-tm/quant-trading,NEW,Derivatives and Hedging,2021-07-03 17:46:46,1999.0,526.0,2.0,2018-04-03 14:08:14,2021-04-13 18:37:15,je-suis-tm/quant-trading,active,,23:51.4
Options-Trading-Strategies-in-Python,https://github.com/PyPatel/Options-Trading-Strategies-in-Python,NEW,Derivatives and Hedging,2021-07-02 14:55:44,348.0,139.0,1.0,2017-08-30 06:00:15,2019-08-21 15:47:57,PyPatel/Options-Trading-Strategies-in-Python,active,,23:51.4
Option Strategies,https://github.com/rstreppa/valuation-OptionStrategies,"Valuation of Vanilla and Exotic option strategies (Butterfly, Risk Reversal etc.) with widget animations.",Derivatives and Hedging,2021-06-15 21:43:59,3.0,3.0,1.0,2018-05-22 18:27:26,2018-05-22 18:30:24,rstreppa/valuation-OptionStrategies,inactive,,
Options_Data_Science,https://github.com/yugedata/Options_Data_Science,NEW,Derivatives and Hedging,2021-07-02 18:32:59,249.0,43.0,1.0,2020-12-09 04:51:20,2021-07-02 18:32:55,yugedata/Options_Data_Science,active,,23:51.4
tai,https://github.com/fremantle-industries/tai,NEW,Derivatives and Hedging,2021-07-02 22:49:37,300.0,47.0,6.0,2017-07-28 03:07:18,2021-07-02 22:48:01,fremantle-industries/tai,active,,23:51.4
tf-quant-finance,https://github.com/google/tf-quant-finance,NEW,Derivatives and Hedging,2021-07-03 05:34:08,2691.0,358.0,30.0,2019-07-24 16:09:50,2021-07-02 18:34:45,google/tf-quant-finance,active,,23:51.4
algotrader,https://github.com/torreyleonard/algotrader,NEW,Derivatives and Hedging,2021-06-30 02:16:13,496.0,106.0,12.0,2018-04-10 02:31:26,2020-08-27 08:16:44,torreyleonard/algotrader,active,,23:51.4
Options Risk Measures,https://github.com/wanglouis49/risk_estimation,Efficient financial risk estimation via computer experiment design (regression + variance-reduced sampling).,Derivatives and Hedging,2020-10-06 20:37:02,1.0,2.0,1.0,2016-04-29 03:51:25,2018-01-16 01:24:07,wanglouis49/risk_estimation,inactive,,
Delta Hedging,https://github.com/RobinsonGarcia/delta-hedging,Advanced derivatives.,Derivatives and Hedging,2021-02-27 08:48:27,3.0,2.0,1.0,2018-03-02 23:53:53,2018-07-17 23:32:23,RobinsonGarcia/delta-hedging,inactive,,
paperbroker,https://github.com/philipodonnell/paperbroker,NEW,Derivatives and Hedging,2021-07-01 14:26:27,183.0,52.0,3.0,2017-07-06 02:04:51,2018-04-08 18:37:57,philipodonnell/paperbroker,inactive,,23:51.4
trading-server,https://github.com/s-brez/trading-server,NEW,Derivatives and Hedging,2021-07-02 18:35:27,269.0,61.0,2.0,2019-03-05 03:06:19,2021-03-08 02:37:08,s-brez/trading-server,active,,23:51.4
FinanceDatabase,https://github.com/JerBouma/FinanceDatabase,NEW,Derivatives and Hedging,2021-07-03 07:00:43,702.0,81.0,1.0,2021-01-28 18:36:09,2021-06-29 14:50:39,JerBouma/FinanceDatabase,active,,23:51.4
akshare,https://github.com/jindaxiang/akshare,NEW,Derivatives and Hedging,2021-07-03 15:50:23,3693.0,765.0,13.0,2019-10-01 07:34:12,2021-07-03 15:50:18,jindaxiang/akshare,active,,23:51.4
trade-frame,https://github.com/rburkholder/trade-frame,NEW,Derivatives and Hedging,2021-07-02 12:43:31,203.0,79.0,1.0,2016-07-24 15:25:30,2021-05-24 16:56:10,rburkholder/trade-frame,active,,23:51.4
wallstreet,https://github.com/mcdallas/wallstreet,NEW,Derivatives and Hedging,2021-07-02 08:39:46,601.0,132.0,2.0,2016-01-20 22:03:39,2019-08-09 23:14:52,mcdallas/wallstreet,active,,23:51.4
Derman,https://github.com/rstreppa/valuation-convertibles-Goldman1994/blob/master/ConvertibleBond_Goldman1994_Derman.ipynb,Binomial tree for American call.,Derivatives and Hedging,2020-10-06 20:37:15,1.0,3.0,1.0,2018-05-18 18:08:16,2018-09-21 19:59:01,rstreppa/valuation-convertibles-Goldman1994,inactive,,
FinancePy,https://github.com/domokane/FinancePy,NEW,Derivatives and Hedging,2021-07-02 12:11:36,519.0,84.0,7.0,2019-10-27 15:04:56,2021-06-18 18:13:16,domokane/FinancePy,active,,23:51.4
MarketAnalysis,https://github.com/Poseyy/MarketAnalysis,NEW,Derivatives and Hedging,2021-06-27 07:32:51,181.0,81.0,1.0,2019-03-28 19:46:34,2020-08-06 05:15:46,Poseyy/MarketAnalysis,active,,23:51.4
Derivative Markets,https://github.com/broughtj/Fin6470/tree/master/Notebooks,"The economics of futures, futures, options, and swaps.",Derivatives and Hedging,2021-04-15 16:03:10,8.0,8.0,1.0,2016-02-09 05:30:27,2021-04-15 16:02:59,broughtj/Fin6470,active,,
Strata,https://github.com/OpenGamma/Strata,NEW,Derivatives and Hedging,2021-06-29 20:55:31,624.0,221.0,43.0,2014-06-16 11:45:55,2021-06-29 13:53:29,OpenGamma/Strata,active,,23:51.4
Derivatives Python,https://github.com/yhilpisch/dawp/tree/master/python36,Derivative analytics with Python.,Derivatives and Hedging,2021-07-01 09:12:11,407.0,305.0,1.0,2015-07-09 12:27:29,2021-02-22 13:29:18,yhilpisch/dawp,active,,
gs-quant,https://github.com/goldmansachs/gs-quant,NEW,Derivatives and Hedging,2021-07-03 22:40:23,662.0,195.0,13.0,2018-12-14 21:10:40,2021-07-01 12:01:31,goldmansachs/gs-quant,active,,23:51.4
openAlgo,https://github.com/mtompkins/openAlgo,NEW,Derivatives and Hedging,2021-06-27 23:37:44,165.0,83.0,2.0,2013-05-28 14:46:53,2017-03-24 20:00:24,mtompkins/openAlgo,inactive,,23:51.4
robin_stocks,https://github.com/jmfernandes/robin_stocks,NEW,Derivatives and Hedging,2021-07-03 13:05:50,1105.0,295.0,36.0,2018-02-23 00:49:37,2021-05-12 02:21:21,jmfernandes/robin_stocks,active,,23:51.4
Volatility and Variance Derivatives,https://github.com/yhilpisch/lvvd/tree/master/lvvd,Volatility derivatives analytics.,Derivatives and Hedging,2021-06-23 16:15:47,85.0,79.0,1.0,2016-10-21 04:12:50,2021-05-15 10:12:38,yhilpisch/lvvd,active,,
Strata,https://github.com/OpenGamma/Strata,NEW,Derivatives and Hedging,2021-06-29 20:55:31,624.0,221.0,43.0,2014-06-16 11:45:55,2021-06-29 13:53:29,OpenGamma/Strata,active,,23:51.4
StockSharp,https://github.com/StockSharp/StockSharp,NEW,Derivatives and Hedging,2021-07-03 23:04:18,4181.0,1289.0,17.0,2014-12-08 07:53:44,2021-06-30 23:42:40,StockSharp/StockSharp,active,,23:51.4
fast_arrow,https://github.com/westonplatter/fast_arrow,NEW,Derivatives and Hedging,2021-06-01 15:11:55,128.0,41.0,5.0,2018-07-19 23:15:25,2020-04-18 18:05:37,westonplatter/fast_arrow,active,,23:51.4
Options,https://github.com/QuantConnect/Tutorials/tree/master/06%20Introduction%20to%20Options%5B%5D,Introduction to options.,Derivatives and Hedging,2021-06-21 12:23:22,361.0,169.0,35.0,2017-07-28 15:48:29,2021-03-17 17:17:08,QuantConnect/Tutorials,active,,
@@ -178,225 +199,205 @@ Hull White,https://github.com/rstreppa/valuation-callables-HullWhite/blob/master
QLNet,https://github.com/amaggiulli/QLNet,NEW,Derivatives and Hedging,2021-06-25 16:37:00,266.0,136.0,13.0,2013-08-22 14:51:43,2021-03-02 18:39:41,amaggiulli/QLNet,active,,23:51.4
Computational Derivatives,https://github.com/chenbowen184/Computational_Finance,Projects focusing on investigating simulations and computational techniques applied in finance.,Derivatives and Hedging,2021-05-18 09:14:31,19.0,12.0,1.0,2018-01-29 05:01:52,2018-08-02 05:56:49,chen-bowen/Computational_Finance,inactive,,
Black Scholes,https://github.com/irajwani/numerical_methods_python/blob/master/black_scholes.ipynb,Options pricing.,Derivatives and Hedging,2020-10-06 20:36:29,1.0,2.0,0.0,2017-12-09 18:50:20,2018-07-09 09:48:36,irajwani/numerical_methods_python,inactive,,
Volatility and Variance Derivatives,https://github.com/yhilpisch/lvvd/tree/master/lvvd,Volatility derivatives analytics.,Derivatives and Hedging,2021-06-23 16:15:47,85.0,79.0,1.0,2016-10-21 04:12:50,2021-05-15 10:12:38,yhilpisch/lvvd,active,,
Options,https://github.com/PHBS/2018.M1.ASP/tree/master/py,Black Scholes and Copula.,Derivatives and Hedging,,,,,,,PHBS/2018.M1.ASP,,,
wallstreet,https://github.com/mcdallas/wallstreet,NEW,Derivatives and Hedging,2021-07-02 08:39:46,601.0,132.0,2.0,2016-01-20 22:03:39,2019-08-09 23:14:52,mcdallas/wallstreet,active,,23:51.4
Derman,https://github.com/rstreppa/valuation-convertibles-Goldman1994/blob/master/ConvertibleBond_Goldman1994_Derman.ipynb,Binomial tree for American call.,Derivatives and Hedging,2020-10-06 20:37:15,1.0,3.0,1.0,2018-05-18 18:08:16,2018-09-21 19:59:01,rstreppa/valuation-convertibles-Goldman1994,inactive,,
akshare,https://github.com/jindaxiang/akshare,NEW,Derivatives and Hedging,2021-07-03 15:50:23,3693.0,765.0,13.0,2019-10-01 07:34:12,2021-07-03 15:50:18,jindaxiang/akshare,active,,23:51.4
trading-server,https://github.com/s-brez/trading-server,NEW,Derivatives and Hedging,2021-07-02 18:35:27,269.0,61.0,2.0,2019-03-05 03:06:19,2021-03-08 02:37:08,s-brez/trading-server,active,,23:51.4
quant-trading,https://github.com/je-suis-tm/quant-trading,NEW,Derivatives and Hedging,2021-07-03 17:46:46,1999.0,526.0,2.0,2018-04-03 14:08:14,2021-04-13 18:37:15,je-suis-tm/quant-trading,active,,23:51.4
Reinforcement Learning,https://github.com/FinTechies/HedgingRL,Hedging portfolios with reinforcement learning.,Derivatives and Hedging,2021-01-20 08:12:13,16.0,10.0,1.0,2017-04-21 10:58:56,2017-08-02 21:41:06,FinTechies/HedgingRL,inactive,,
AlgorithmicTrading,https://github.com/JerBouma/AlgorithmicTrading,NEW,Derivatives and Hedging,2021-07-03 18:39:09,202.0,60.0,1.0,2019-03-14 09:33:37,2021-02-03 22:29:07,JerBouma/AlgorithmicTrading,active,,23:51.4
Options-Trading-Strategies-in-Python,https://github.com/PyPatel/Options-Trading-Strategies-in-Python,NEW,Derivatives and Hedging,2021-07-02 14:55:44,348.0,139.0,1.0,2017-08-30 06:00:15,2019-08-21 15:47:57,PyPatel/Options-Trading-Strategies-in-Python,active,,23:51.4
huobi_futures_Python,https://github.com/hbdmapi/huobi_futures_Python,NEW,Derivatives and Hedging,2021-06-27 12:53:07,195.0,90.0,2.0,2020-01-14 07:21:39,2021-06-25 01:29:01,hbdmapi/huobi_futures_Python,active,,23:51.4
tda-api,https://github.com/alexgolec/tda-api,NEW,Derivatives and Hedging,2021-06-30 17:49:06,738.0,191.0,17.0,2020-04-03 21:19:12,2021-06-28 16:25:32,alexgolec/tda-api,active,,23:51.4
optopsy,https://github.com/michaelchu/optopsy,NEW,Derivatives and Hedging,2021-07-03 17:55:12,431.0,90.0,3.0,2017-09-17 01:49:54,2021-06-04 16:13:34,michaelchu/optopsy,active,,23:51.4
Option Strategies,https://github.com/rstreppa/valuation-OptionStrategies,"Valuation of Vanilla and Exotic option strategies (Butterfly, Risk Reversal etc.) with widget animations.",Derivatives and Hedging,2021-06-15 21:43:59,3.0,3.0,1.0,2018-05-22 18:27:26,2018-05-22 18:30:24,rstreppa/valuation-OptionStrategies,inactive,,
FinanceDatabase,https://github.com/JerBouma/FinanceDatabase,NEW,Derivatives and Hedging,2021-07-03 07:00:43,702.0,81.0,1.0,2021-01-28 18:36:09,2021-06-29 14:50:39,JerBouma/FinanceDatabase,active,,23:51.4
tai,https://github.com/fremantle-industries/tai,NEW,Derivatives and Hedging,2021-07-02 22:49:37,300.0,47.0,6.0,2017-07-28 03:07:18,2021-07-02 22:48:01,fremantle-industries/tai,active,,23:51.4
tf-quant-finance,https://github.com/google/tf-quant-finance,NEW,Derivatives and Hedging,2021-07-03 05:34:08,2691.0,358.0,30.0,2019-07-24 16:09:50,2021-07-02 18:34:45,google/tf-quant-finance,active,,23:51.4
trade-frame,https://github.com/rburkholder/trade-frame,NEW,Derivatives and Hedging,2021-07-02 12:43:31,203.0,79.0,1.0,2016-07-24 15:25:30,2021-05-24 16:56:10,rburkholder/trade-frame,active,,23:51.4
algotrader,https://github.com/torreyleonard/algotrader,NEW,Derivatives and Hedging,2021-06-30 02:16:13,496.0,106.0,12.0,2018-04-10 02:31:26,2020-08-27 08:16:44,torreyleonard/algotrader,active,,23:51.4
Options_Data_Science,https://github.com/yugedata/Options_Data_Science,NEW,Derivatives and Hedging,2021-07-02 18:32:59,249.0,43.0,1.0,2020-12-09 04:51:20,2021-07-02 18:32:55,yugedata/Options_Data_Science,active,,23:51.4
Options Risk Measures,https://github.com/wanglouis49/risk_estimation,Efficient financial risk estimation via computer experiment design (regression + variance-reduced sampling).,Derivatives and Hedging,2020-10-06 20:37:02,1.0,2.0,1.0,2016-04-29 03:51:25,2018-01-16 01:24:07,wanglouis49/risk_estimation,inactive,,
Delta Hedging,https://github.com/RobinsonGarcia/delta-hedging,Advanced derivatives.,Derivatives and Hedging,2021-02-27 08:48:27,3.0,2.0,1.0,2018-03-02 23:53:53,2018-07-17 23:32:23,RobinsonGarcia/delta-hedging,inactive,,
paperbroker,https://github.com/philipodonnell/paperbroker,NEW,Derivatives and Hedging,2021-07-01 14:26:27,183.0,52.0,3.0,2017-07-06 02:04:51,2018-04-08 18:37:57,philipodonnell/paperbroker,inactive,,23:51.4
algo-trader-tool-suite,https://github.com/K0414/algo-trader-tool-suite,NEW,Extended Research,2021-07-02 17:04:00,59.0,51.0,1.0,2013-10-24 14:57:12,2013-10-24 15:01:56,K0414/algo-trader-tool-suite,inactive,,2021-04-21 01:25:51.827641
HFT-Orderbook,https://github.com/Crypto-toolbox/HFT-Orderbook,NEW,Extended Research,2021-07-02 03:02:02,444.0,151.0,4.0,2017-07-26 08:42:19,2018-08-24 13:35:39,Crypto-toolbox/HFT-Orderbook,inactive,,2021-04-21 01:25:51.827641
talkingdata-adtracking-fraud-detection,https://github.com/flowlight0/talkingdata-adtracking-fraud-detection,NEW,Extended Research,2021-06-08 07:39:19,204.0,54.0,1.0,2018-03-21 11:27:31,2018-06-10 15:30:50,flowlight0/talkingdata-adtracking-fraud-detection,inactive,,2021-04-21 01:25:51.827641
DGFraud,https://github.com/safe-graph/DGFraud,NEW,Extended Research,2021-07-03 11:17:11,329.0,90.0,4.0,2019-11-22 14:02:36,2021-05-27 21:12:27,safe-graph/DGFraud,active,,2021-04-21 01:25:51.827641
fraud-detection-using-machine-learning,https://github.com/awslabs/fraud-detection-using-machine-learning,NEW,Extended Research,2021-06-09 19:03:27,98.0,63.0,6.0,2019-05-17 17:12:46,2021-06-09 19:03:19,awslabs/fraud-detection-using-machine-learning,active,,2021-04-21 01:25:51.827641
Financial Economics,https://github.com/rsvp/fecon235/tree/master/nb,Financial Economics Models.,Extended Research,2021-06-30 19:22:45,726.0,281.0,2.0,2014-11-09 04:49:01,2018-12-03 16:30:28,rsvp/fecon235,inactive,,
Avellaneda-Stoikov,https://github.com/mdibo/Avellaneda-Stoikov,NEW,Extended Research,2021-06-07 04:17:42,52.0,43.0,1.0,2017-10-16 03:36:34,2020-05-09 23:35:08,mdibo/Avellaneda-Stoikov,active,,2021-06-02 04:27:12.212333
Computational Finance,https://github.com/lnsongxf/Applied_Computational_Economics_and_Finance,Applied Computational Economics and Finance.,Extended Research,2021-05-31 04:01:48,13.0,14.0,1.0,2017-08-27 03:46:33,2017-08-26 04:26:04,lnsongxf/Applied_Computational_Economics_and_Finance,inactive,,
roq-samples,https://github.com/roq-trading/roq-samples,NEW,Extended Research,2021-06-30 11:59:50,66.0,24.0,3.0,2018-03-27 04:19:09,2021-06-20 01:38:28,roq-trading/roq-samples,active,,2021-05-05 01:50:21.293278
UGFraud,https://github.com/safe-graph/UGFraud,NEW,Extended Research,2021-06-28 08:32:14,61.0,16.0,2.0,2020-06-01 22:34:14,2021-04-11 19:01:44,safe-graph/UGFraud,active,,2021-05-26 02:41:08.838631
graph-fraud-detection-papers,https://github.com/safe-graph/graph-fraud-detection-papers,NEW,Extended Research,2021-07-03 12:44:47,407.0,74.0,2.0,2019-11-21 05:39:23,2021-06-28 22:03:00,safe-graph/graph-fraud-detection-papers,active,,2021-04-21 01:25:51.827641
StockPredictionRNN,https://github.com/dzitkowskik/StockPredictionRNN,NEW,Extended Research,2021-06-27 05:43:20,508.0,216.0,2.0,2015-11-26 19:00:35,2016-05-21 15:51:22,dzitkowskik/StockPredictionRNN,inactive,,2021-04-21 01:25:51.827641
fingerprintjs,https://github.com/fingerprintjs/fingerprintjs,NEW,Extended Research,2021-07-03 20:06:48,14010.0,1663.0,68.0,2015-02-11 08:49:54,2021-07-01 02:06:11,fingerprintjs/fingerprintjs,active,,2021-04-21 01:25:51.827641
fx_systrade,https://github.com/ryogrid/fx_systrade,NEW,Extended Research,2021-05-09 01:04:16,81.0,29.0,2.0,2015-07-24 11:46:28,2020-10-23 10:17:01,ryogrid/fx_systrade,active,,2021-04-21 01:25:51.827641
High-Frequency-Trading-Simulation-System,https://github.com/chenhaotian/High-Frequency-Trading-Simulation-System,NEW,Extended Research,2021-05-21 16:30:46,51.0,25.0,1.0,2016-06-14 13:50:39,2018-04-16 08:48:10,chenhaotian/High-Frequency-Trading-Simulation-System,inactive,,2021-04-21 01:25:51.827641
Applied Corporate Finance,https://github.com/chenbowen184/Data_Science_in_Applied_Corporate_Finance,Studies the empirical behaviours in stock market.,Extended Research,2021-07-02 01:10:03,10.0,10.0,1.0,2018-01-29 05:14:52,2018-07-19 06:25:36,chen-bowen/Data_Science_in_Applied_Corporate_Finance,inactive,,
Fraud-detection-using-deep-learning,https://github.com/aaxwaz/Fraud-detection-using-deep-learning,NEW,Extended Research,2021-06-20 02:23:38,105.0,56.0,1.0,2017-06-18 12:35:24,2017-12-06 13:51:54,aaxwaz/Fraud-detection-using-deep-learning,inactive,,2021-04-21 01:25:51.827641
Fraud_Detection_Techniques,https://github.com/wmlba/Fraud_Detection_Techniques,NEW,Extended Research,2021-07-02 02:41:32,63.0,35.0,1.0,2019-02-14 02:27:13,2020-06-14 23:36:47,wmlba/Fraud_Detection_Techniques,active,,2021-04-21 01:25:51.827641
FX-Trading-with-Python-and-Oanda,https://github.com/anthonyng2/FX-Trading-with-Python-and-Oanda,NEW,Extended Research,2021-02-20 20:49:53,57.0,42.0,1.0,2017-02-23 07:48:12,2017-08-14 03:21:30,anthonyng2/FX-Trading-with-Python-and-Oanda,inactive,,2021-04-21 01:25:51.827641
FX-1-Minute-Data,https://github.com/philipperemy/FX-1-Minute-Data,NEW,Extended Research,2021-06-15 09:06:49,288.0,113.0,4.0,2017-05-22 03:24:35,2021-06-15 09:06:46,philipperemy/FX-1-Minute-Data,active,,2021-04-21 01:25:51.827641
Q-Fin,https://github.com/RomanMichaelPaolucci/Q-Fin,NEW,Extended Research,2021-07-02 16:52:05,53.0,8.0,1.0,2021-04-21 13:29:51,2021-06-07 16:23:33,RomanMichaelPaolucci/Q-Fin,active,,2021-06-02 04:27:12.212333
wattnet-fx-trading,https://github.com/Zymrael/wattnet-fx-trading,NEW,Extended Research,2021-06-23 09:21:35,62.0,12.0,1.0,2019-09-13 08:44:27,2020-08-19 05:49:12,Zymrael/wattnet-fx-trading,active,,2021-04-21 01:25:51.827641
neural-finance,https://github.com/Metnew/neural-finance,NEW,Extended Research,2021-04-13 10:50:40,64.0,28.0,1.0,2016-12-30 17:14:13,2017-06-26 22:42:06,Metnew/neural-finance,inactive,,2021-04-21 01:25:51.827641
getIPIntel,https://github.com/blackdotsh/getIPIntel,NEW,Extended Research,2021-06-10 08:40:37,155.0,33.0,4.0,2015-10-02 21:40:50,2021-01-24 01:09:18,blackdotsh/getIPIntel,active,,2021-04-21 01:25:51.827641
avellaneda-stoikov,https://github.com/ragoragino/avellaneda-stoikov,NEW,Extended Research,2021-05-31 12:38:50,57.0,20.0,1.0,2017-10-21 20:53:00,2017-10-30 18:23:27,ragoragino/avellaneda-stoikov,inactive,,2021-04-21 01:25:51.827641
wtpy,https://github.com/wondertrader/wtpy,NEW,Extended Research,2021-06-27 13:51:31,72.0,22.0,1.0,2020-06-18 01:43:25,2021-05-25 12:29:32,wondertrader/wtpy,active,,2021-04-21 01:25:51.827641
FraudDetection-Microservices,https://github.com/melofred/FraudDetection-Microservices,NEW,Extended Research,2021-02-16 00:13:03,85.0,50.0,1.0,2016-06-08 23:24:21,2017-01-18 17:52:01,melofred/FraudDetection-Microservices,inactive,,2021-04-21 01:25:51.827641
TalkingData,https://github.com/CuteChibiko/TalkingData,NEW,Extended Research,2021-06-06 19:34:41,101.0,39.0,1.0,2018-05-09 15:17:45,2018-05-11 01:32:26,CuteChibiko/TalkingData,inactive,,2021-04-21 01:25:51.827641
fraud-detection,https://github.com/yazanobeidi/fraud-detection,NEW,Extended Research,2021-07-02 16:08:52,61.0,34.0,1.0,2017-08-04 15:03:47,2017-08-05 15:38:45,yazanobeidi/fraud-detection,inactive,,2021-04-21 01:25:51.827641
bot18,https://github.com/carlos8f/bot18,NEW,Extended Research,2021-07-01 22:33:23,170.0,32.0,2.0,2018-05-23 14:22:25,2018-10-17 08:06:21,carlos8f/bot18,inactive,,2021-04-21 01:25:51.827641
gym-fx,https://github.com/harveybc/gym-fx,NEW,Extended Research,2021-06-26 06:03:54,160.0,44.0,1.0,2017-02-21 21:04:09,2020-06-03 21:03:14,harveybc/gym-fx,active,,2021-04-21 01:25:51.827641
ml-fraud-detection,https://github.com/georgymh/ml-fraud-detection,NEW,Extended Research,2021-06-28 15:16:20,124.0,93.0,2.0,2017-04-27 01:48:35,2018-01-31 21:17:26,georgymh/ml-fraud-detection,inactive,,2021-04-21 01:25:51.827641
fraud-detection-papers,https://github.com/IPL/fraud-detection-papers,NEW,Extended Research,2021-06-23 03:33:33,136.0,31.0,1.0,2017-09-29 02:47:54,2021-02-03 09:47:27,IPL/fraud-detection-papers,active,,2021-04-21 01:25:51.827641
Trading-Bot,https://github.com/RaidasGrisk/Trading-Bot,NEW,Extended Research,2021-06-24 14:27:43,76.0,34.0,1.0,2017-11-27 21:20:40,2018-01-22 21:00:57,RaidasGrisk/Trading-Bot,inactive,,2021-04-21 01:25:51.827641
exchange-core,https://github.com/mzheravin/exchange-core,NEW,Extended Research,2021-07-01 01:19:09,960.0,434.0,7.0,2018-08-05 18:25:16,2021-04-25 18:24:27,mzheravin/exchange-core,active,,2021-04-21 01:25:51.827641
beymani,https://github.com/pranab/beymani,NEW,Extended Research,2021-06-28 15:46:37,112.0,60.0,0.0,2012-01-04 07:22:01,2021-06-28 15:46:20,pranab/beymani,active,,2021-04-21 01:25:51.827641
crypto-database,https://github.com/ivopetiz/crypto-database,NEW,Extended Research,2021-06-20 07:43:13,59.0,24.0,2.0,2018-02-22 21:34:11,2019-10-04 13:06:18,ivopetiz/crypto-database,active,,2021-04-21 01:25:51.827641
PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop,https://github.com/TheSnowGuru/PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop,NEW,Extended Research,2021-07-03 10:44:38,149.0,42.0,2.0,2020-07-05 07:59:38,2021-06-24 06:04:19,TheSnowGuru/PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop,active,,2021-04-21 01:25:51.827641
math-php,https://github.com/markrogoyski/math-php,NEW,Extended Research,2021-07-03 22:32:38,1924.0,201.0,17.0,2016-04-03 17:57:14,2021-05-09 19:53:17,markrogoyski/math-php,active,,2021-04-21 01:25:51.827641
TradingStrategies,https://github.com/SoftAlgoTrade/TradingStrategies,NEW,Extended Research,2021-07-02 06:32:06,120.0,55.0,1.0,2017-05-22 20:46:35,2017-10-29 11:09:37,SoftAlgoTrade/TradingStrategies,inactive,,2021-04-21 01:25:51.827641
system,https://github.com/BillRun/system,NEW,Extended Research,2021-05-26 10:11:38,86.0,54.0,8.0,2013-04-11 16:14:53,2020-07-02 15:32:31,BillRun/system,active,,2021-04-21 01:25:51.827641
awesome-fraud-detection-papers,https://github.com/benedekrozemberczki/awesome-fraud-detection-papers,NEW,Extended Research,2021-07-03 23:03:03,898.0,191.0,4.0,2019-05-27 10:23:22,2021-06-24 09:26:19,benedekrozemberczki/awesome-fraud-detection-papers,active,,2021-04-21 01:25:51.827641
tradingrrl,https://github.com/darden1/tradingrrl,NEW,Extended Research,2021-06-24 14:28:41,59.0,34.0,1.0,2017-03-05 07:20:56,2018-11-14 13:19:52,darden1/tradingrrl,inactive,,2021-04-21 01:25:51.827641
algotrading,https://github.com/ivopetiz/algotrading,NEW,Extended Research,2021-07-04 00:23:17,349.0,85.0,3.0,2018-07-10 22:10:41,2021-06-30 19:46:41,ivopetiz/algotrading,active,,2021-04-21 01:25:51.827641
wondertrader,https://github.com/wondertrader/wondertrader,NEW,Extended Research,2021-07-02 05:40:20,291.0,76.0,2.0,2020-03-30 05:43:52,2021-05-24 06:04:06,wondertrader/wondertrader,active,,2021-04-21 01:25:51.827641
fecon236,https://github.com/MathSci/fecon236,NEW,Extended Research,2021-06-01 06:28:35,78.0,44.0,2.0,2018-04-05 19:34:51,2019-01-11 08:07:56,MathSci/fecon236,inactive,,2021-04-21 01:25:51.827641
InteractiveBrokers-Algo-System,https://github.com/rediar/InteractiveBrokers-Algo-System,NEW,Extended Research,2021-06-29 21:47:08,157.0,65.0,1.0,2018-01-21 03:09:41,2018-10-25 02:56:15,rediar/InteractiveBrokers-Algo-System,inactive,,2021-04-21 01:25:51.827641
roq-api,https://github.com/roq-trading/roq-api,NEW,Extended Research,2021-07-03 11:02:53,159.0,48.0,1.0,2018-03-05 08:37:57,2021-06-20 01:46:22,roq-trading/roq-api,active,,2021-04-21 01:25:51.827641
HFT_Bitcoin,https://github.com/ghgr/HFT_Bitcoin,NEW,Extended Research,2021-05-07 12:27:55,72.0,23.0,1.0,2017-07-27 07:11:48,2017-08-21 14:50:35,ghgr/HFT_Bitcoin,inactive,,2021-04-21 01:25:51.827641
Krypto-trading-bot,https://github.com/ctubio/Krypto-trading-bot,NEW,Extended Research,2021-07-03 23:25:50,2313.0,625.0,49.0,2017-06-13 20:15:54,2021-07-03 23:07:54,ctubio/Krypto-trading-bot,active,,2021-04-21 01:25:51.827641
math-finance-cheat-sheet,https://github.com/daleroberts/math-finance-cheat-sheet,NEW,Extended Research,2021-06-20 17:51:38,193.0,30.0,1.0,2014-05-02 00:19:01,2016-11-16 05:57:09,daleroberts/math-finance-cheat-sheet,inactive,,2021-04-21 01:25:51.827641
Financial-Formulas-Library-.NET-Standard,https://github.com/srbrettle/Financial-Formulas-Library-.NET-Standard,NEW,Extended Research,2021-06-25 20:14:51,115.0,33.0,2.0,2018-09-01 17:43:37,2019-11-22 12:50:30,srbrettle/Financial-Formulas-Library-.NET-Standard,active,,2021-04-21 01:25:51.827641
Life-cycle,https://github.com/atulram/Finance-and-Stocks/blob/master/CompanyLifeCycle.ipynb,Company life cycle.,Extended Research,2020-12-21 14:42:43,3.0,3.0,1.0,2019-01-19 18:16:47,2019-02-18 16:57:19,atulram/Finance-and-Stocks,inactive,,
ITCH,https://github.com/martinobdl/ITCH,NEW,Extended Research,2021-07-03 09:04:12,73.0,28.0,3.0,2019-03-09 18:20:12,2020-07-25 10:24:10,martinobdl/ITCH,active,,2021-04-21 01:25:51.827641
kafka-fraud-detector,https://github.com/florimondmanca/kafka-fraud-detector,NEW,Extended Research,2021-06-18 12:30:23,61.0,47.0,3.0,2018-09-13 17:36:49,2019-04-29 22:04:23,florimondmanca/kafka-fraud-detector,inactive,,2021-04-21 01:25:51.827641
go-quantcup,https://github.com/rdingwall/go-quantcup,NEW,Extended Research,2021-06-30 09:37:46,75.0,36.0,1.0,2015-02-04 10:33:12,2015-06-11 12:50:09,rdingwall/go-quantcup,inactive,,2021-04-21 01:25:51.827641
Simulation,https://github.com/chenbowen184/Computational_Finance,Investigating simulations as part of computational finance.,Extended Research,2021-05-18 09:14:31,19.0,12.0,1.0,2018-01-29 05:01:52,2018-08-02 05:56:49,chen-bowen/Computational_Finance,inactive,,
A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market,https://github.com/SheikhRabiul/A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market,NEW,Extended Research,2021-06-12 08:04:27,52.0,21.0,1.0,2017-11-27 06:37:43,2019-01-08 18:13:34,SheikhRabiul/A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market,inactive,,2021-04-21 01:25:51.827641
Chronicle-Accelerate,https://github.com/OpenHFT/Chronicle-Accelerate,NEW,Extended Research,2020-12-11 04:11:30,55.0,13.0,7.0,2018-01-24 08:52:53,2018-08-11 12:11:43,OpenHFT/Chronicle-Accelerate,inactive,,2021-04-21 01:25:51.827641
tectonicdb,https://github.com/0b01/tectonicdb,NEW,Extended Research,2021-06-18 18:20:19,351.0,56.0,10.0,2017-10-03 00:34:01,2020-09-08 23:02:20,0b01/tectonicdb,active,,2021-04-21 01:25:51.827641
Bayesian Finance,https://github.com/marketneutral/alphatools/blob/master/notebooks/pymc3-minimal.ipynb,Notebook PyMC3 implementation.,Extended Research,2021-06-30 12:33:02,253.0,59.0,1.0,2018-08-28 14:45:00,2020-08-06 22:03:47,marketneutral/alphatools,active,,
Bayesian Finance I,https://github.com/AlexIoannides/pymc-stochastic-process/blob/master/bayes_stoch_proc_calib.ipynb,Stochastic Process Calibration using Bayesian Inference & Probabilistic Programs.,Extended Research,2021-05-18 12:27:07,27.0,6.0,0.0,2019-01-04 12:30:41,2019-02-18 09:55:21,AlexIoannides/pymc-stochastic-process,inactive,,
Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras,https://github.com/curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras,NEW,Extended Research,2021-06-28 12:45:23,350.0,237.0,1.0,2017-06-09 13:58:13,2019-06-28 09:27:45,curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras,inactive,,2021-04-21 01:25:51.827641
hft,https://github.com/nickhuangxinyu/hft,NEW,Extended Research,2021-07-02 19:14:48,170.0,89.0,2.0,2019-03-12 14:57:01,2021-05-07 04:09:18,nickhuangxinyu/hft,active,,2021-04-21 01:25:51.827641
OpenHFT,https://github.com/OpenHFT/OpenHFT,NEW,Extended Research,2021-07-03 12:22:45,484.0,153.0,33.0,2013-12-26 10:22:00,2021-07-02 14:00:03,OpenHFT/OpenHFT,active,,2021-04-21 01:25:51.827641
example-hftish,https://github.com/alpacahq/example-hftish,NEW,Extended Research,2021-07-03 10:32:39,406.0,171.0,3.0,2019-01-25 14:56:38,2019-10-25 02:16:27,alpacahq/example-hftish,active,,2021-04-21 01:25:51.827641
HFT,https://github.com/rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy,High frequency trading.,Extended Research,2021-07-02 21:52:54,800.0,343.0,1.0,2016-07-21 05:14:14,2017-02-14 16:47:25,rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy,inactive,,
HFT-CNN,https://github.com/ShimShim46/HFT-CNN,NEW,Extended Research,2021-05-24 06:03:42,73.0,19.0,1.0,2018-08-18 06:39:32,2018-11-09 02:29:00,ShimShim46/HFT-CNN,inactive,,2021-04-21 01:25:51.827641
Critical Transitions,https://github.com/ryanholbrook/critical-transitions,Detecting critical transitions in financial networks with topological data analysis.,Extended Research,2021-04-19 09:15:38,11.0,3.0,1.0,2019-01-22 10:59:50,2019-03-12 18:35:02,ryanholbrook/critical-transitions,inactive,,
ReactiveTraderCloud,https://github.com/AdaptiveConsulting/ReactiveTraderCloud,NEW,Extended Research,2021-07-01 09:30:53,1602.0,507.0,81.0,2015-11-13 19:24:11,2021-06-24 08:10:33,AdaptiveConsulting/ReactiveTraderCloud,active,,2021-04-21 01:25:51.827641
Fraud_Detector,https://github.com/kskk02/Fraud_Detector,NEW,Extended Research,2021-05-19 15:04:04,58.0,35.0,1.0,2014-07-03 20:52:51,2015-01-15 22:03:04,kskk02/Fraud_Detector,inactive,,2021-04-21 01:25:51.827641
Finance Graph Theory,https://github.com/AvijitGhosh82/Finance_Graph_Theory,Modelling Contentedness of Firms in Financial Markets with Heterogeneous Agents.,Extended Research,2021-03-28 02:22:22,17.0,7.0,3.0,2018-08-02 02:48:24,2019-03-16 18:39:38,evijit/Finance_Graph_Theory,inactive,,
ReactiveTraderCloud,https://github.com/AdaptiveConsulting/ReactiveTraderCloud,NEW,Extended Research,2021-07-01 09:30:53,1602.0,507.0,81.0,2015-11-13 19:24:11,2021-06-24 08:10:33,AdaptiveConsulting/ReactiveTraderCloud,active,,2021-04-21 01:25:51.827641
Critical Transitions,https://github.com/ryanholbrook/critical-transitions,Detecting critical transitions in financial networks with topological data analysis.,Extended Research,2021-04-19 09:15:38,11.0,3.0,1.0,2019-01-22 10:59:50,2019-03-12 18:35:02,ryanholbrook/critical-transitions,inactive,,
HFT-CNN,https://github.com/ShimShim46/HFT-CNN,NEW,Extended Research,2021-05-24 06:03:42,73.0,19.0,1.0,2018-08-18 06:39:32,2018-11-09 02:29:00,ShimShim46/HFT-CNN,inactive,,2021-04-21 01:25:51.827641
HFT,https://github.com/rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy,High frequency trading.,Extended Research,2021-07-02 21:52:54,800.0,343.0,1.0,2016-07-21 05:14:14,2017-02-14 16:47:25,rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy,inactive,,
example-hftish,https://github.com/alpacahq/example-hftish,NEW,Extended Research,2021-07-03 10:32:39,406.0,171.0,3.0,2019-01-25 14:56:38,2019-10-25 02:16:27,alpacahq/example-hftish,active,,2021-04-21 01:25:51.827641
OpenHFT,https://github.com/OpenHFT/OpenHFT,NEW,Extended Research,2021-07-03 12:22:45,484.0,153.0,33.0,2013-12-26 10:22:00,2021-07-02 14:00:03,OpenHFT/OpenHFT,active,,2021-04-21 01:25:51.827641
hft,https://github.com/nickhuangxinyu/hft,NEW,Extended Research,2021-07-02 19:14:48,170.0,89.0,2.0,2019-03-12 14:57:01,2021-05-07 04:09:18,nickhuangxinyu/hft,active,,2021-04-21 01:25:51.827641
Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras,https://github.com/curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras,NEW,Extended Research,2021-06-28 12:45:23,350.0,237.0,1.0,2017-06-09 13:58:13,2019-06-28 09:27:45,curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras,inactive,,2021-04-21 01:25:51.827641
Bayesian Finance I,https://github.com/AlexIoannides/pymc-stochastic-process/blob/master/bayes_stoch_proc_calib.ipynb,Stochastic Process Calibration using Bayesian Inference & Probabilistic Programs.,Extended Research,2021-05-18 12:27:07,27.0,6.0,0.0,2019-01-04 12:30:41,2019-02-18 09:55:21,AlexIoannides/pymc-stochastic-process,inactive,,
Coiner,https://github.com/jihoonerd/Coiner,NEW,Extended Research,2021-04-07 16:15:41,50.0,20.0,1.0,2017-09-26 04:14:36,2018-01-01 13:13:21,jihoonerd/Coiner,inactive,,2021-04-21 01:25:51.827641
Bayesian Finance,https://github.com/marketneutral/alphatools/blob/master/notebooks/pymc3-minimal.ipynb,Notebook PyMC3 implementation.,Extended Research,2021-06-30 12:33:02,253.0,59.0,1.0,2018-08-28 14:45:00,2020-08-06 22:03:47,marketneutral/alphatools,active,,
Chronicle-Accelerate,https://github.com/OpenHFT/Chronicle-Accelerate,NEW,Extended Research,2020-12-11 04:11:30,55.0,13.0,7.0,2018-01-24 08:52:53,2018-08-11 12:11:43,OpenHFT/Chronicle-Accelerate,inactive,,2021-04-21 01:25:51.827641
A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market,https://github.com/SheikhRabiul/A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market,NEW,Extended Research,2021-06-12 08:04:27,52.0,21.0,1.0,2017-11-27 06:37:43,2019-01-08 18:13:34,SheikhRabiul/A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market,inactive,,2021-04-21 01:25:51.827641
Simulation,https://github.com/chenbowen184/Computational_Finance,Investigating simulations as part of computational finance.,Extended Research,2021-05-18 09:14:31,19.0,12.0,1.0,2018-01-29 05:01:52,2018-08-02 05:56:49,chen-bowen/Computational_Finance,inactive,,
go-quantcup,https://github.com/rdingwall/go-quantcup,NEW,Extended Research,2021-06-30 09:37:46,75.0,36.0,1.0,2015-02-04 10:33:12,2015-06-11 12:50:09,rdingwall/go-quantcup,inactive,,2021-04-21 01:25:51.827641
kafka-fraud-detector,https://github.com/florimondmanca/kafka-fraud-detector,NEW,Extended Research,2021-06-18 12:30:23,61.0,47.0,3.0,2018-09-13 17:36:49,2019-04-29 22:04:23,florimondmanca/kafka-fraud-detector,inactive,,2021-04-21 01:25:51.827641
ITCH,https://github.com/martinobdl/ITCH,NEW,Extended Research,2021-07-03 09:04:12,73.0,28.0,3.0,2019-03-09 18:20:12,2020-07-25 10:24:10,martinobdl/ITCH,active,,2021-04-21 01:25:51.827641
Life-cycle,https://github.com/atulram/Finance-and-Stocks/blob/master/CompanyLifeCycle.ipynb,Company life cycle.,Extended Research,2020-12-21 14:42:43,3.0,3.0,1.0,2019-01-19 18:16:47,2019-02-18 16:57:19,atulram/Finance-and-Stocks,inactive,,
HFT-Orderbook,https://github.com/Crypto-toolbox/HFT-Orderbook,NEW,Extended Research,2021-07-02 03:02:02,444.0,151.0,4.0,2017-07-26 08:42:19,2018-08-24 13:35:39,Crypto-toolbox/HFT-Orderbook,inactive,,2021-04-21 01:25:51.827641
algo-trader-tool-suite,https://github.com/K0414/algo-trader-tool-suite,NEW,Extended Research,2021-07-02 17:04:00,59.0,51.0,1.0,2013-10-24 14:57:12,2013-10-24 15:01:56,K0414/algo-trader-tool-suite,inactive,,2021-04-21 01:25:51.827641
High-Frequency-Trading-Model-with-IB,https://github.com/jamesmawm/High-Frequency-Trading-Model-with-IB,NEW,Extended Research,2021-07-02 19:50:34,1865.0,551.0,2.0,2014-05-18 19:20:13,2019-06-21 14:58:07,jamesmawm/High-Frequency-Trading-Model-with-IB,inactive,,2021-04-21 01:25:51.827641
tectonicdb,https://github.com/0b01/tectonicdb,NEW,Extended Research,2021-06-18 18:20:19,351.0,56.0,10.0,2017-10-03 00:34:01,2020-09-08 23:02:20,0b01/tectonicdb,active,,2021-04-21 01:25:51.827641
Corporate Finance,https://github.com/SeanMcOwen/FinanceAndPython.com-CorporateFinance,Basic corporate finance.,Extended Research,2021-01-16 19:01:31,9.0,5.0,1.0,2017-09-09 03:35:24,2017-09-09 23:04:48,SeanMcOwen/FinanceAndPython.com-CorporateFinance,inactive,,
finmath-lib,https://github.com/finmath/finmath-lib,NEW,Extended Research,2021-07-03 13:34:45,318.0,128.0,16.0,2013-03-17 10:00:22,2021-03-13 21:37:31,finmath/finmath-lib,active,,2021-04-21 01:25:51.827641
PE-HFT-Python,https://github.com/PortfolioEffect/PE-HFT-Python,NEW,Extended Research,2021-06-18 07:24:56,50.0,37.0,2.0,2015-11-11 00:58:39,2017-08-08 02:06:15,PortfolioEffect/PE-HFT-Python,inactive,,2021-07-07 01:48:46.755450
hummingbot_chinese,https://github.com/CoinAlpha/hummingbot_chinese,NEW,Extended Research,2021-07-01 02:34:18,181.0,33.0,5.0,2019-06-05 22:53:04,2021-06-10 16:41:21,CoinAlpha/hummingbot_chinese,active,,2021-04-21 01:25:51.827641
HFTrader,https://github.com/DrAshBooth/HFTrader,NEW,Extended Research,2021-05-04 20:42:44,70.0,43.0,0.0,2012-12-03 13:57:19,2012-12-12 17:17:09,DrAshBooth/HFTrader,inactive,,2021-04-21 01:25:51.827641
finmath-lib,https://github.com/finmath/finmath-lib,NEW,Extended Research,2021-07-03 13:34:45,318.0,128.0,16.0,2013-03-17 10:00:22,2021-03-13 21:37:31,finmath/finmath-lib,active,,2021-04-21 01:25:51.827641
448Project,https://github.com/HujiaYuYoyo/448Project,NEW,Extended Research,2021-06-30 15:50:41,68.0,46.0,4.0,2018-04-14 21:19:21,2018-06-10 09:29:37,HujiaYuYoyo/448Project,inactive,,2021-04-21 01:25:51.827641
Currency PCA,https://github.com/shanemulqueen/python-finance-pca/blob/master/FX_spots_w_PCA.ipynb,Forex spots PCA.,Extended Research,2020-10-26 00:55:20,3.0,1.0,1.0,2019-03-12 21:11:29,2019-03-12 22:09:10,shanemulqueen/python-finance-pca,inactive,,
tribeca,https://github.com/michaelgrosner/tribeca,NEW,Extended Research,2021-07-02 02:56:46,3554.0,897.0,22.0,2015-07-07 18:40:45,2018-02-26 18:01:13,michaelgrosner/tribeca,inactive,,2021-04-21 01:25:51.827641
Mathematical Finance,https://github.com/Auquan/Tutorials,Notebooks for math and financial tutorials.,Extended Research,2021-06-30 03:15:03,691.0,451.0,9.0,2017-01-21 11:24:18,2020-08-01 17:03:32,Auquan/Tutorials,active,,
MIDAS,https://github.com/Stream-AD/MIDAS,NEW,Extended Research,2021-06-23 10:05:22,616.0,72.0,3.0,2019-10-23 03:50:50,2021-06-08 08:19:24,Stream-AD/MIDAS,active,,2021-04-21 01:25:51.827641
SumZeroTrading,https://github.com/rterp/SumZeroTrading,NEW,Extended Research,2021-06-29 21:23:22,130.0,44.0,1.0,2016-01-19 05:43:31,2018-08-30 22:44:52,rterp/SumZeroTrading,inactive,,2021-04-21 01:25:51.827641
Economic Foundations,https://github.com/SeanMcOwen/FinanceAndPython.com-EconomicFoundations,Basic economic models.,Extended Research,2020-10-06 21:01:59,2.0,4.0,1.0,2017-05-25 02:27:36,2017-06-30 03:53:59,SeanMcOwen/FinanceAndPython.com-EconomicFoundations,inactive,,
Liquidity and Momentum,https://github.com/mrefermat/quant_finance,Various factors and portfolio constructions.,Extended Research,2021-06-02 16:38:16,31.0,17.0,1.0,2018-08-11 22:59:53,2019-11-12 04:49:01,mrefermat/quant_finance,active,,
Commodity,https://github.com/felipessalvatore/fin2vec/blob/master/src/Commodity2BR.ipynb,Commodity influence over Brazilian stocks.,Extended Research,,,,,,,felipessalvatore/fin2vec,,,
freqtrade_bot,https://github.com/michael-fourie/freqtrade_bot,NEW,Extended Research,2021-06-19 22:12:08,70.0,23.0,1.0,2020-12-21 00:14:25,2021-01-07 19:52:54,michael-fourie/freqtrade_bot,active,,2021-04-21 01:25:51.827641
Deep Portfolio,https://github.com/DLColumbia/DL_forFinance,Deep learning for finance Predict volume of bonds.,Extended Research,2021-01-12 11:48:27,27.0,19.0,2.0,2018-05-08 19:34:17,2018-05-09 15:39:25,DLColumbia/DL_forFinance,inactive,,
spartan,https://github.com/rigtorp/spartan,NEW,Extended Research,2021-06-28 13:04:01,169.0,62.0,1.0,2012-11-22 04:29:42,2015-10-31 03:46:06,rigtorp/spartan,inactive,,2021-04-21 01:25:51.827641
Backtests,https://github.com/AlgoTraders/stock-analysis-engine,Trading data and algorithms.,Extended Research,2021-07-03 15:21:30,666.0,181.0,3.0,2018-09-16 20:00:36,2020-09-05 13:01:05,AlgoTraders/stock-analysis-engine,active,,
kungfu,https://github.com/kungfu-origin/kungfu,NEW,Extended Research,2021-06-30 13:15:33,2388.0,873.0,7.0,2017-11-15 06:54:01,2020-06-03 12:04:41,kungfu-origin/kungfu,active,,2021-04-21 01:25:51.827641
NLP Finance Papers,https://github.com/chenbowen184/Research_Documents_Curation_with_NLP,Curating quantitative finance papers using machine learning.,Extended Research,2021-02-27 06:33:23,8.0,9.0,1.0,2018-10-11 20:32:37,2018-12-24 23:27:55,chen-bowen/Research_Documents_Curation_with_NLP,inactive,,
Real Estate Property Fraud,https://github.com/aviroop1/Real_Estate_Property_Fraud,Unsupervised fraud detection model that can identify likely candidates of fraud.,Extended Research,,,,,,,aviroop1/Real_Estate_Property_Fraud,,,
Behavioural Economics,https://github.com/pcmichaud/notebooks,Behavioural Economics and Finance Python Notebooks.,Extended Research,2021-02-03 07:22:40,9.0,4.0,1.0,2018-12-20 00:21:38,2019-03-26 11:51:46,pcmichaud/notebooks,inactive,,
High Frequency,https://github.com/cswaney/prickle,A Python toolkit for high-frequency trade research.,Extended Research,2021-07-03 10:29:12,27.0,17.0,2.0,2016-07-06 20:32:21,2018-06-09 10:53:51,cswaney/prickle,inactive,,
Backtests,https://github.com/AlgoTraders/stock-analysis-engine,Trading data and algorithms.,Extended Research,2021-07-03 15:21:30,666.0,181.0,3.0,2018-09-16 20:00:36,2020-09-05 13:01:05,AlgoTraders/stock-analysis-engine,active,,
Market Crash Prediction,https://github.com/sarachmax/MarketCrashes_Prediction/blob/master/LPPL_Comparasion.ipynb,Predicting market crashes using an LPPL model.,Extended Research,2020-10-06 21:01:42,1.0,3.0,1.0,2019-01-24 13:37:45,2019-02-13 16:48:00,sarachmax/MarketCrashes_Prediction,inactive,,
M&A,https://github.com/atulram/Finance-and-Stocks,Mergers and Acquisitions.,Extended Research,2020-12-21 14:42:43,3.0,3.0,1.0,2019-01-19 18:16:47,2019-02-18 16:57:19,atulram/Finance-and-Stocks,inactive,,
fraud-detection-demo,https://github.com/afedulov/fraud-detection-demo,NEW,Extended Research,2021-07-03 13:59:56,179.0,74.0,2.0,2019-11-04 09:23:17,2021-01-05 19:28:04,afedulov/fraud-detection-demo,active,,2021-04-21 01:25:51.827641
2018-Kaggle-AdTrackingFraud,https://github.com/ShawnyXiao/2018-Kaggle-AdTrackingFraud,NEW,Extended Research,2021-05-21 03:36:04,72.0,23.0,1.0,2018-05-08 09:29:46,2019-01-12 07:57:33,ShawnyXiao/2018-Kaggle-AdTrackingFraud,inactive,,2021-04-21 01:25:51.827641
Deep Portfolio,https://github.com/DLColumbia/DL_forFinance,Deep learning for finance Predict volume of bonds.,Extended Research,2021-01-12 11:48:27,27.0,19.0,2.0,2018-05-08 19:34:17,2018-05-09 15:39:25,DLColumbia/DL_forFinance,inactive,,
kungfu,https://github.com/kungfu-origin/kungfu,NEW,Extended Research,2021-06-30 13:15:33,2388.0,873.0,7.0,2017-11-15 06:54:01,2020-06-03 12:04:41,kungfu-origin/kungfu,active,,2021-04-21 01:25:51.827641
Commodity,https://github.com/felipessalvatore/fin2vec/blob/master/src/Commodity2BR.ipynb,Commodity influence over Brazilian stocks.,Extended Research,,,,,,,felipessalvatore/fin2vec,,,
Liquidity and Momentum,https://github.com/mrefermat/quant_finance,Various factors and portfolio constructions.,Extended Research,2021-06-02 16:38:16,31.0,17.0,1.0,2018-08-11 22:59:53,2019-11-12 04:49:01,mrefermat/quant_finance,active,,
Economic Foundations,https://github.com/SeanMcOwen/FinanceAndPython.com-EconomicFoundations,Basic economic models.,Extended Research,2020-10-06 21:01:59,2.0,4.0,1.0,2017-05-25 02:27:36,2017-06-30 03:53:59,SeanMcOwen/FinanceAndPython.com-EconomicFoundations,inactive,,
SumZeroTrading,https://github.com/rterp/SumZeroTrading,NEW,Extended Research,2021-06-29 21:23:22,130.0,44.0,1.0,2016-01-19 05:43:31,2018-08-30 22:44:52,rterp/SumZeroTrading,inactive,,2021-04-21 01:25:51.827641
freqtrade_bot,https://github.com/michael-fourie/freqtrade_bot,NEW,Extended Research,2021-06-19 22:12:08,70.0,23.0,1.0,2020-12-21 00:14:25,2021-01-07 19:52:54,michael-fourie/freqtrade_bot,active,,2021-04-21 01:25:51.827641
MIDAS,https://github.com/Stream-AD/MIDAS,NEW,Extended Research,2021-06-23 10:05:22,616.0,72.0,3.0,2019-10-23 03:50:50,2021-06-08 08:19:24,Stream-AD/MIDAS,active,,2021-04-21 01:25:51.827641
Mathematical Finance,https://github.com/Auquan/Tutorials,Notebooks for math and financial tutorials.,Extended Research,2021-06-30 03:15:03,691.0,451.0,9.0,2017-01-21 11:24:18,2020-08-01 17:03:32,Auquan/Tutorials,active,,
tribeca,https://github.com/michaelgrosner/tribeca,NEW,Extended Research,2021-07-02 02:56:46,3554.0,897.0,22.0,2015-07-07 18:40:45,2018-02-26 18:01:13,michaelgrosner/tribeca,inactive,,2021-04-21 01:25:51.827641
Currency PCA,https://github.com/shanemulqueen/python-finance-pca/blob/master/FX_spots_w_PCA.ipynb,Forex spots PCA.,Extended Research,2020-10-26 00:55:20,3.0,1.0,1.0,2019-03-12 21:11:29,2019-03-12 22:09:10,shanemulqueen/python-finance-pca,inactive,,
448Project,https://github.com/HujiaYuYoyo/448Project,NEW,Extended Research,2021-06-30 15:50:41,68.0,46.0,4.0,2018-04-14 21:19:21,2018-06-10 09:29:37,HujiaYuYoyo/448Project,inactive,,2021-04-21 01:25:51.827641
HFTrader,https://github.com/DrAshBooth/HFTrader,NEW,Extended Research,2021-05-04 20:42:44,70.0,43.0,0.0,2012-12-03 13:57:19,2012-12-12 17:17:09,DrAshBooth/HFTrader,inactive,,2021-04-21 01:25:51.827641
Fraud_Detector,https://github.com/kskk02/Fraud_Detector,NEW,Extended Research,2021-05-19 15:04:04,58.0,35.0,1.0,2014-07-03 20:52:51,2015-01-15 22:03:04,kskk02/Fraud_Detector,inactive,,2021-04-21 01:25:51.827641
High-Frequency-Trading-Model-with-IB,https://github.com/jamesmawm/High-Frequency-Trading-Model-with-IB,NEW,Extended Research,2021-07-02 19:50:34,1865.0,551.0,2.0,2014-05-18 19:20:13,2019-06-21 14:58:07,jamesmawm/High-Frequency-Trading-Model-with-IB,inactive,,2021-04-21 01:25:51.827641
math-finance-cheat-sheet,https://github.com/daleroberts/math-finance-cheat-sheet,NEW,Extended Research,2021-06-20 17:51:38,193.0,30.0,1.0,2014-05-02 00:19:01,2016-11-16 05:57:09,daleroberts/math-finance-cheat-sheet,inactive,,2021-04-21 01:25:51.827641
bot18,https://github.com/carlos8f/bot18,NEW,Extended Research,2021-07-01 22:33:23,170.0,32.0,2.0,2018-05-23 14:22:25,2018-10-17 08:06:21,carlos8f/bot18,inactive,,2021-04-21 01:25:51.827641
neural-finance,https://github.com/Metnew/neural-finance,NEW,Extended Research,2021-04-13 10:50:40,64.0,28.0,1.0,2016-12-30 17:14:13,2017-06-26 22:42:06,Metnew/neural-finance,inactive,,2021-04-21 01:25:51.827641
wattnet-fx-trading,https://github.com/Zymrael/wattnet-fx-trading,NEW,Extended Research,2021-06-23 09:21:35,62.0,12.0,1.0,2019-09-13 08:44:27,2020-08-19 05:49:12,Zymrael/wattnet-fx-trading,active,,2021-04-21 01:25:51.827641
fingerprintjs,https://github.com/fingerprintjs/fingerprintjs,NEW,Extended Research,2021-07-03 20:06:48,14010.0,1663.0,68.0,2015-02-11 08:49:54,2021-07-01 02:06:11,fingerprintjs/fingerprintjs,active,,2021-04-21 01:25:51.827641
FX-1-Minute-Data,https://github.com/philipperemy/FX-1-Minute-Data,NEW,Extended Research,2021-06-15 09:06:49,288.0,113.0,4.0,2017-05-22 03:24:35,2021-06-15 09:06:46,philipperemy/FX-1-Minute-Data,active,,2021-04-21 01:25:51.827641
FX-Trading-with-Python-and-Oanda,https://github.com/anthonyng2/FX-Trading-with-Python-and-Oanda,NEW,Extended Research,2021-02-20 20:49:53,57.0,42.0,1.0,2017-02-23 07:48:12,2017-08-14 03:21:30,anthonyng2/FX-Trading-with-Python-and-Oanda,inactive,,2021-04-21 01:25:51.827641
Fraud_Detection_Techniques,https://github.com/wmlba/Fraud_Detection_Techniques,NEW,Extended Research,2021-07-02 02:41:32,63.0,35.0,1.0,2019-02-14 02:27:13,2020-06-14 23:36:47,wmlba/Fraud_Detection_Techniques,active,,2021-04-21 01:25:51.827641
Fraud-detection-using-deep-learning,https://github.com/aaxwaz/Fraud-detection-using-deep-learning,NEW,Extended Research,2021-06-20 02:23:38,105.0,56.0,1.0,2017-06-18 12:35:24,2017-12-06 13:51:54,aaxwaz/Fraud-detection-using-deep-learning,inactive,,2021-04-21 01:25:51.827641
Applied Corporate Finance,https://github.com/chenbowen184/Data_Science_in_Applied_Corporate_Finance,Studies the empirical behaviours in stock market.,Extended Research,2021-07-02 01:10:03,10.0,10.0,1.0,2018-01-29 05:14:52,2018-07-19 06:25:36,chen-bowen/Data_Science_in_Applied_Corporate_Finance,inactive,,
High-Frequency-Trading-Simulation-System,https://github.com/chenhaotian/High-Frequency-Trading-Simulation-System,NEW,Extended Research,2021-05-21 16:30:46,51.0,25.0,1.0,2016-06-14 13:50:39,2018-04-16 08:48:10,chenhaotian/High-Frequency-Trading-Simulation-System,inactive,,2021-04-21 01:25:51.827641
fx_systrade,https://github.com/ryogrid/fx_systrade,NEW,Extended Research,2021-05-09 01:04:16,81.0,29.0,2.0,2015-07-24 11:46:28,2020-10-23 10:17:01,ryogrid/fx_systrade,active,,2021-04-21 01:25:51.827641
getIPIntel,https://github.com/blackdotsh/getIPIntel,NEW,Extended Research,2021-06-10 08:40:37,155.0,33.0,4.0,2015-10-02 21:40:50,2021-01-24 01:09:18,blackdotsh/getIPIntel,active,,2021-04-21 01:25:51.827641
StockPredictionRNN,https://github.com/dzitkowskik/StockPredictionRNN,NEW,Extended Research,2021-06-27 05:43:20,508.0,216.0,2.0,2015-11-26 19:00:35,2016-05-21 15:51:22,dzitkowskik/StockPredictionRNN,inactive,,2021-04-21 01:25:51.827641
UGFraud,https://github.com/safe-graph/UGFraud,NEW,Extended Research,2021-06-28 08:32:14,61.0,16.0,2.0,2020-06-01 22:34:14,2021-04-11 19:01:44,safe-graph/UGFraud,active,,2021-05-26 02:41:08.838631
talkingdata-adtracking-fraud-detection,https://github.com/flowlight0/talkingdata-adtracking-fraud-detection,NEW,Extended Research,2021-06-08 07:39:19,204.0,54.0,1.0,2018-03-21 11:27:31,2018-06-10 15:30:50,flowlight0/talkingdata-adtracking-fraud-detection,inactive,,2021-04-21 01:25:51.827641
DGFraud,https://github.com/safe-graph/DGFraud,NEW,Extended Research,2021-07-03 11:17:11,329.0,90.0,4.0,2019-11-22 14:02:36,2021-05-27 21:12:27,safe-graph/DGFraud,active,,2021-04-21 01:25:51.827641
fraud-detection-using-machine-learning,https://github.com/awslabs/fraud-detection-using-machine-learning,NEW,Extended Research,2021-06-09 19:03:27,98.0,63.0,6.0,2019-05-17 17:12:46,2021-06-09 19:03:19,awslabs/fraud-detection-using-machine-learning,active,,2021-04-21 01:25:51.827641
graph-fraud-detection-papers,https://github.com/safe-graph/graph-fraud-detection-papers,NEW,Extended Research,2021-07-03 12:44:47,407.0,74.0,2.0,2019-11-21 05:39:23,2021-06-28 22:03:00,safe-graph/graph-fraud-detection-papers,active,,2021-04-21 01:25:51.827641
Avellaneda-Stoikov,https://github.com/mdibo/Avellaneda-Stoikov,NEW,Extended Research,2021-06-07 04:17:42,52.0,43.0,1.0,2017-10-16 03:36:34,2020-05-09 23:35:08,mdibo/Avellaneda-Stoikov,active,,2021-06-02 04:27:12.212333
Computational Finance,https://github.com/lnsongxf/Applied_Computational_Economics_and_Finance,Applied Computational Economics and Finance.,Extended Research,2021-05-31 04:01:48,13.0,14.0,1.0,2017-08-27 03:46:33,2017-08-26 04:26:04,lnsongxf/Applied_Computational_Economics_and_Finance,inactive,,
Financial Economics,https://github.com/rsvp/fecon235/tree/master/nb,Financial Economics Models.,Extended Research,2021-06-30 19:22:45,726.0,281.0,2.0,2014-11-09 04:49:01,2018-12-03 16:30:28,rsvp/fecon235,inactive,,
roq-samples,https://github.com/roq-trading/roq-samples,NEW,Extended Research,2021-06-30 11:59:50,66.0,24.0,3.0,2018-03-27 04:19:09,2021-06-20 01:38:28,roq-trading/roq-samples,active,,2021-05-05 01:50:21.293278
Q-Fin,https://github.com/RomanMichaelPaolucci/Q-Fin,NEW,Extended Research,2021-07-02 16:52:05,53.0,8.0,1.0,2021-04-21 13:29:51,2021-06-07 16:23:33,RomanMichaelPaolucci/Q-Fin,active,,2021-06-02 04:27:12.212333
avellaneda-stoikov,https://github.com/ragoragino/avellaneda-stoikov,NEW,Extended Research,2021-05-31 12:38:50,57.0,20.0,1.0,2017-10-21 20:53:00,2017-10-30 18:23:27,ragoragino/avellaneda-stoikov,inactive,,2021-04-21 01:25:51.827641
PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop,https://github.com/TheSnowGuru/PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop,NEW,Extended Research,2021-07-03 10:44:38,149.0,42.0,2.0,2020-07-05 07:59:38,2021-06-24 06:04:19,TheSnowGuru/PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop,active,,2021-04-21 01:25:51.827641
FraudDetection-Microservices,https://github.com/melofred/FraudDetection-Microservices,NEW,Extended Research,2021-02-16 00:13:03,85.0,50.0,1.0,2016-06-08 23:24:21,2017-01-18 17:52:01,melofred/FraudDetection-Microservices,inactive,,2021-04-21 01:25:51.827641
HFT_Bitcoin,https://github.com/ghgr/HFT_Bitcoin,NEW,Extended Research,2021-05-07 12:27:55,72.0,23.0,1.0,2017-07-27 07:11:48,2017-08-21 14:50:35,ghgr/HFT_Bitcoin,inactive,,2021-04-21 01:25:51.827641
roq-api,https://github.com/roq-trading/roq-api,NEW,Extended Research,2021-07-03 11:02:53,159.0,48.0,1.0,2018-03-05 08:37:57,2021-06-20 01:46:22,roq-trading/roq-api,active,,2021-04-21 01:25:51.827641
InteractiveBrokers-Algo-System,https://github.com/rediar/InteractiveBrokers-Algo-System,NEW,Extended Research,2021-06-29 21:47:08,157.0,65.0,1.0,2018-01-21 03:09:41,2018-10-25 02:56:15,rediar/InteractiveBrokers-Algo-System,inactive,,2021-04-21 01:25:51.827641
fecon236,https://github.com/MathSci/fecon236,NEW,Extended Research,2021-06-01 06:28:35,78.0,44.0,2.0,2018-04-05 19:34:51,2019-01-11 08:07:56,MathSci/fecon236,inactive,,2021-04-21 01:25:51.827641
wondertrader,https://github.com/wondertrader/wondertrader,NEW,Extended Research,2021-07-02 05:40:20,291.0,76.0,2.0,2020-03-30 05:43:52,2021-05-24 06:04:06,wondertrader/wondertrader,active,,2021-04-21 01:25:51.827641
algotrading,https://github.com/ivopetiz/algotrading,NEW,Extended Research,2021-07-04 00:23:17,349.0,85.0,3.0,2018-07-10 22:10:41,2021-06-30 19:46:41,ivopetiz/algotrading,active,,2021-04-21 01:25:51.827641
tradingrrl,https://github.com/darden1/tradingrrl,NEW,Extended Research,2021-06-24 14:28:41,59.0,34.0,1.0,2017-03-05 07:20:56,2018-11-14 13:19:52,darden1/tradingrrl,inactive,,2021-04-21 01:25:51.827641
wtpy,https://github.com/wondertrader/wtpy,NEW,Extended Research,2021-06-27 13:51:31,72.0,22.0,1.0,2020-06-18 01:43:25,2021-05-25 12:29:32,wondertrader/wtpy,active,,2021-04-21 01:25:51.827641
awesome-fraud-detection-papers,https://github.com/benedekrozemberczki/awesome-fraud-detection-papers,NEW,Extended Research,2021-07-03 23:03:03,898.0,191.0,4.0,2019-05-27 10:23:22,2021-06-24 09:26:19,benedekrozemberczki/awesome-fraud-detection-papers,active,,2021-04-21 01:25:51.827641
system,https://github.com/BillRun/system,NEW,Extended Research,2021-05-26 10:11:38,86.0,54.0,8.0,2013-04-11 16:14:53,2020-07-02 15:32:31,BillRun/system,active,,2021-04-21 01:25:51.827641
TradingStrategies,https://github.com/SoftAlgoTrade/TradingStrategies,NEW,Extended Research,2021-07-02 06:32:06,120.0,55.0,1.0,2017-05-22 20:46:35,2017-10-29 11:09:37,SoftAlgoTrade/TradingStrategies,inactive,,2021-04-21 01:25:51.827641
Krypto-trading-bot,https://github.com/ctubio/Krypto-trading-bot,NEW,Extended Research,2021-07-03 23:25:50,2313.0,625.0,49.0,2017-06-13 20:15:54,2021-07-03 23:07:54,ctubio/Krypto-trading-bot,active,,2021-04-21 01:25:51.827641
math-php,https://github.com/markrogoyski/math-php,NEW,Extended Research,2021-07-03 22:32:38,1924.0,201.0,17.0,2016-04-03 17:57:14,2021-05-09 19:53:17,markrogoyski/math-php,active,,2021-04-21 01:25:51.827641
crypto-database,https://github.com/ivopetiz/crypto-database,NEW,Extended Research,2021-06-20 07:43:13,59.0,24.0,2.0,2018-02-22 21:34:11,2019-10-04 13:06:18,ivopetiz/crypto-database,active,,2021-04-21 01:25:51.827641
beymani,https://github.com/pranab/beymani,NEW,Extended Research,2021-06-28 15:46:37,112.0,60.0,0.0,2012-01-04 07:22:01,2021-06-28 15:46:20,pranab/beymani,active,,2021-04-21 01:25:51.827641
exchange-core,https://github.com/mzheravin/exchange-core,NEW,Extended Research,2021-07-01 01:19:09,960.0,434.0,7.0,2018-08-05 18:25:16,2021-04-25 18:24:27,mzheravin/exchange-core,active,,2021-04-21 01:25:51.827641
Trading-Bot,https://github.com/RaidasGrisk/Trading-Bot,NEW,Extended Research,2021-06-24 14:27:43,76.0,34.0,1.0,2017-11-27 21:20:40,2018-01-22 21:00:57,RaidasGrisk/Trading-Bot,inactive,,2021-04-21 01:25:51.827641
fraud-detection-papers,https://github.com/IPL/fraud-detection-papers,NEW,Extended Research,2021-06-23 03:33:33,136.0,31.0,1.0,2017-09-29 02:47:54,2021-02-03 09:47:27,IPL/fraud-detection-papers,active,,2021-04-21 01:25:51.827641
ml-fraud-detection,https://github.com/georgymh/ml-fraud-detection,NEW,Extended Research,2021-06-28 15:16:20,124.0,93.0,2.0,2017-04-27 01:48:35,2018-01-31 21:17:26,georgymh/ml-fraud-detection,inactive,,2021-04-21 01:25:51.827641
gym-fx,https://github.com/harveybc/gym-fx,NEW,Extended Research,2021-06-26 06:03:54,160.0,44.0,1.0,2017-02-21 21:04:09,2020-06-03 21:03:14,harveybc/gym-fx,active,,2021-04-21 01:25:51.827641
fraud-detection,https://github.com/yazanobeidi/fraud-detection,NEW,Extended Research,2021-07-02 16:08:52,61.0,34.0,1.0,2017-08-04 15:03:47,2017-08-05 15:38:45,yazanobeidi/fraud-detection,inactive,,2021-04-21 01:25:51.827641
TalkingData,https://github.com/CuteChibiko/TalkingData,NEW,Extended Research,2021-06-06 19:34:41,101.0,39.0,1.0,2018-05-09 15:17:45,2018-05-11 01:32:26,CuteChibiko/TalkingData,inactive,,2021-04-21 01:25:51.827641
CAPM,https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%202%2C%20CAPM.ipynb,Expected returns using CAPM.,Factor and Risk Analysis,2021-03-01 13:53:42,31.0,18.0,1.0,2016-05-10 11:03:48,2016-05-17 03:44:56,RJT1990/Active-Portfolio-Management-Notes,inactive,,
Quant Finance,https://github.com/mrefermat/quant_finance,General quant repository.,Factor and Risk Analysis,2021-06-02 16:38:16,31.0,17.0,1.0,2018-08-11 22:59:53,2019-11-12 04:49:01,mrefermat/quant_finance,active,,
VaR GaN,https://github.com/hamaadshah/market_risk_gan_keras,Estimate Value-at-Risk for market risk management using Keras and TensorFlow.,Factor and Risk Analysis,2021-06-21 06:11:36,43.0,29.0,1.0,2018-08-06 16:09:44,2020-11-22 19:02:07,hamaadshah/market_risk_gan_tensorflow,active,,
Performance Analysis,https://github.com/quantopian/alphalens,Performance analysis of predictive (alpha) stock factors.,Factor and Risk Analysis,2021-07-03 08:06:55,1965.0,753.0,17.0,2016-06-03 21:49:15,2020-04-27 18:40:41,quantopian/alphalens,active,,
Quantropy,https://github.com/AlainDaccache/Quantropy,NEW,Factor and Risk Analysis,2021-06-19 23:12:00,27.0,4.0,2.0,2020-06-13 15:34:25,2021-03-15 01:49:23,AlainDaccache/Quantropy,active,,2021-05-05 01:50:30.163258
Statistical Finance,https://github.com/mrefermat/FinancePhD/tree/master/FinancialExperiments,Various financial experiments.,Factor and Risk Analysis,2021-03-30 00:09:28,21.0,17.0,1.0,2015-10-04 09:10:54,2020-03-28 18:33:58,mrefermat/FinancePhD,active,,
Convex Optimisation,https://github.com/ssanderson/convex-optimization-for-finance/blob/master/notebooks/Main.ipynb,Convex Optimization for Finance.,Factor and Risk Analysis,2021-04-08 19:02:22,18.0,11.0,1.0,2018-06-26 20:36:47,2019-10-22 21:56:46,ssanderson/convex-optimization-for-finance,active,,
VaR,https://github.com/willb/var-notebook/blob/master/var-notebook/var-pdfs.ipynb,Value-at-risk calculations.,Factor and Risk Analysis,2021-03-31 02:06:48,10.0,9.0,1.0,2016-11-15 19:24:17,2017-01-14 21:19:30,willb/var-notebook,inactive,,
Python for Finance,https://github.com/yhilpisch/py4fi/tree/master/jupyter36,Various financial notebooks.,Factor and Risk Analysis,2021-07-03 13:53:05,1332.0,804.0,1.0,2014-12-15 11:23:34,2018-07-10 06:38:12,yhilpisch/py4fi,inactive,,
Risk Basic,https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%203%2C%20Risk.ipynb,Active portfolio risk management .,Factor and Risk Analysis,2021-03-01 13:53:42,31.0,18.0,1.0,2016-05-10 11:03:48,2016-05-17 03:44:56,RJT1990/Active-Portfolio-Management-Notes,inactive,,
Factor Analysis,https://github.com/alpha-miner/alpha-mind/tree/master/notebooks,Factor strategy notebooks.,Factor and Risk Analysis,2021-06-27 16:26:50,178.0,61.0,5.0,2017-05-01 07:36:54,2021-06-26 07:13:21,alpha-miner/alpha-mind,active,,
Machine_learning_In_Finance,https://github.com/chaudharigauravi/Machine_learning_In_Finance,NEW,Factor and Risk Analysis,2020-11-27 19:23:33,8.0,3.0,1.0,2019-08-03 04:04:51,2019-08-03 04:05:32,chaudharigauravi/Machine_learning_In_Finance,active,,23:57.7
Pyfolio,https://github.com/quantopian/pyfolio,Portfolio and risk analytics in Python.,Factor and Risk Analysis,2021-07-03 19:28:23,3886.0,1234.0,41.0,2015-06-01 15:31:39,2020-02-28 17:30:19,quantopian/pyfolio,active,,
High Frequency,https://github.com/cswaney/prickle,A Python toolkit for high-frequency trade research.,Extended Research,2021-07-03 10:29:12,27.0,17.0,2.0,2016-07-06 20:32:21,2018-06-09 10:53:51,cswaney/prickle,inactive,,
TradeFinexLive,https://github.com/XinFinOrg/TradeFinexLive,NEW,Factor and Risk Analysis,2021-07-02 06:53:30,5.0,12.0,8.0,2018-03-21 10:05:22,2021-07-02 06:53:22,XinFinOrg/TradeFinexLive,active,,23:57.7
Stock-Prediction,https://github.com/Ronak-59/Stock-Prediction,NEW,Factor and Risk Analysis,2021-07-02 13:52:34,140.0,68.0,2.0,2018-03-18 04:54:45,2020-02-28 11:43:07,Ronak-59/Stock-Prediction,active,,37:06.3
simulate,https://github.com/leolle/simulate,NEW,Factor and Risk Analysis,2021-03-23 13:34:53,11.0,2.0,1.0,2017-06-04 15:18:21,2018-11-11 14:03:40,leolle/simulate,inactive,,23:57.7
Various Risk Measures,https://github.com/Jorgencr/Alternative-and-Responsible-Investments/blob/master/Final_masterfile.ipynb,Risk measures and factors for alternative and responsible investments.,Factor and Risk Analysis,2020-11-04 07:04:38,4.0,4.0,1.0,2017-08-07 14:44:32,2017-08-08 22:52:11,Jorgencr/Alternative-and-Responsible-Investments,inactive,,
AlphaTrading,https://github.com/jerryxyx/AlphaTrading,NEW,Factor and Risk Analysis,2021-06-09 02:31:50,152.0,78.0,1.0,2018-05-18 22:09:52,2018-08-07 18:05:37,jerryxyx/AlphaTrading,inactive,,37:06.3
-L-,https://github.com/jettbrains/-L-,NEW,Factor and Risk Analysis,2021-03-15 03:05:00,6.0,17.0,1.0,2019-10-28 21:50:26,2019-10-28 21:51:19,jettbrains/-L-,active,,23:57.7
Factor Analysis,https://github.com/garvit-kudesia91/factor_analysis/blob/master/Factor%20Analysis%20of%20Mutual%20Funds.ipynb,Factor analysis for mutual funds.,Factor and Risk Analysis,2020-12-21 14:26:46,3.0,4.0,1.0,2018-03-13 07:39:20,2018-03-13 07:42:36,garvit-kudesia91/factor_analysis,inactive,,
stock-market-analysis-using-python-numpy-pandas,https://github.com/Ashishsinha10/stock-market-analysis-using-python-numpy-pandas,NEW,Factor and Risk Analysis,2021-03-21 08:50:27,8.0,5.0,1.0,2018-04-10 05:15:49,2018-04-10 05:28:54,Ashishsinha10/stock-market-analysis-using-python-numpy-pandas,inactive,,23:57.7
Risk and Return,https://github.com/PyDataBlog/Python-for-Data-Science/tree/master/Tutorials,Riskiness of portfolios and assets.,Factor and Risk Analysis,2021-06-05 14:54:12,148.0,63.0,2.0,2017-09-12 13:35:09,2020-08-06 12:35:44,PyDataBlog/Python-for-Data-Science,active,,
Binomial Tree,https://github.com/hy-lei/math-finance-exercise,Utility functions in fixed income securities.,Fixed Income,2020-10-06 20:55:18,1.0,2.0,1.0,2019-02-02 08:44:14,2019-05-03 17:16:52,hy-lei/math-finance-toolbox,inactive,,
market-data,https://github.com/kriasoft/market-data,NEW,Fixed Income,2020-06-22 10:58:20,25.0,20.0,1.0,2012-12-07 13:42:48,2012-12-15 12:10:06,kriasoft/market-data,inactive,,24:33.4
woe,https://github.com/boredbird/woe,NEW,Fixed Income,2021-06-17 02:46:24,226.0,96.0,1.0,2017-09-11 07:15:04,2018-03-01 10:45:40,boredbird/woe,inactive,,24:33.4
MagentoExtensions,https://github.com/5mehulhelp5/MagentoExtensions,NEW,Fixed Income,2021-06-30 10:33:53,110.0,109.0,2.0,2014-07-03 05:45:54,2017-11-24 16:15:49,5mehulhelp5/MagentoExtensions,inactive,,24:33.4
Vasicek,https://github.com/RobinsonGarcia/fixed-income/blob/master/2.0%20Vasicek%20-%20example.ipynb,Bootstrapping and interpolation.,Fixed Income,2020-12-10 21:20:03,3.0,3.0,1.0,2018-07-18 19:26:54,2018-07-18 19:34:48,RobinsonGarcia/fixed-income,inactive,,
stock-market-analysis-using-python-numpy-pandas,https://github.com/Ashishsinha10/stock-market-analysis-using-python-numpy-pandas,NEW,Factor and Risk Analysis,2021-03-21 08:50:27,8.0,5.0,1.0,2018-04-10 05:15:49,2018-04-10 05:28:54,Ashishsinha10/stock-market-analysis-using-python-numpy-pandas,inactive,,23:57.7
Factor Analysis,https://github.com/garvit-kudesia91/factor_analysis/blob/master/Factor%20Analysis%20of%20Mutual%20Funds.ipynb,Factor analysis for mutual funds.,Factor and Risk Analysis,2020-12-21 14:26:46,3.0,4.0,1.0,2018-03-13 07:39:20,2018-03-13 07:42:36,garvit-kudesia91/factor_analysis,inactive,,
-L-,https://github.com/jettbrains/-L-,NEW,Factor and Risk Analysis,2021-03-15 03:05:00,6.0,17.0,1.0,2019-10-28 21:50:26,2019-10-28 21:51:19,jettbrains/-L-,active,,23:57.7
AlphaTrading,https://github.com/jerryxyx/AlphaTrading,NEW,Factor and Risk Analysis,2021-06-09 02:31:50,152.0,78.0,1.0,2018-05-18 22:09:52,2018-08-07 18:05:37,jerryxyx/AlphaTrading,inactive,,37:06.3
Various Risk Measures,https://github.com/Jorgencr/Alternative-and-Responsible-Investments/blob/master/Final_masterfile.ipynb,Risk measures and factors for alternative and responsible investments.,Factor and Risk Analysis,2020-11-04 07:04:38,4.0,4.0,1.0,2017-08-07 14:44:32,2017-08-08 22:52:11,Jorgencr/Alternative-and-Responsible-Investments,inactive,,
simulate,https://github.com/leolle/simulate,NEW,Factor and Risk Analysis,2021-03-23 13:34:53,11.0,2.0,1.0,2017-06-04 15:18:21,2018-11-11 14:03:40,leolle/simulate,inactive,,23:57.7
Stock-Prediction,https://github.com/Ronak-59/Stock-Prediction,NEW,Factor and Risk Analysis,2021-07-02 13:52:34,140.0,68.0,2.0,2018-03-18 04:54:45,2020-02-28 11:43:07,Ronak-59/Stock-Prediction,active,,37:06.3
Pyfolio,https://github.com/quantopian/pyfolio,Portfolio and risk analytics in Python.,Factor and Risk Analysis,2021-07-03 19:28:23,3886.0,1234.0,41.0,2015-06-01 15:31:39,2020-02-28 17:30:19,quantopian/pyfolio,active,,
Quant Finance,https://github.com/mrefermat/quant_finance,General quant repository.,Factor and Risk Analysis,2021-06-02 16:38:16,31.0,17.0,1.0,2018-08-11 22:59:53,2019-11-12 04:49:01,mrefermat/quant_finance,active,,
Factor Analysis,https://github.com/alpha-miner/alpha-mind/tree/master/notebooks,Factor strategy notebooks.,Factor and Risk Analysis,2021-06-27 16:26:50,178.0,61.0,5.0,2017-05-01 07:36:54,2021-06-26 07:13:21,alpha-miner/alpha-mind,active,,
Risk Basic,https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%203%2C%20Risk.ipynb,Active portfolio risk management .,Factor and Risk Analysis,2021-03-01 13:53:42,31.0,18.0,1.0,2016-05-10 11:03:48,2016-05-17 03:44:56,RJT1990/Active-Portfolio-Management-Notes,inactive,,
Python for Finance,https://github.com/yhilpisch/py4fi/tree/master/jupyter36,Various financial notebooks.,Factor and Risk Analysis,2021-07-03 13:53:05,1332.0,804.0,1.0,2014-12-15 11:23:34,2018-07-10 06:38:12,yhilpisch/py4fi,inactive,,
VaR,https://github.com/willb/var-notebook/blob/master/var-notebook/var-pdfs.ipynb,Value-at-risk calculations.,Factor and Risk Analysis,2021-03-31 02:06:48,10.0,9.0,1.0,2016-11-15 19:24:17,2017-01-14 21:19:30,willb/var-notebook,inactive,,
Convex Optimisation,https://github.com/ssanderson/convex-optimization-for-finance/blob/master/notebooks/Main.ipynb,Convex Optimization for Finance.,Factor and Risk Analysis,2021-04-08 19:02:22,18.0,11.0,1.0,2018-06-26 20:36:47,2019-10-22 21:56:46,ssanderson/convex-optimization-for-finance,active,,
Statistical Finance,https://github.com/mrefermat/FinancePhD/tree/master/FinancialExperiments,Various financial experiments.,Factor and Risk Analysis,2021-03-30 00:09:28,21.0,17.0,1.0,2015-10-04 09:10:54,2020-03-28 18:33:58,mrefermat/FinancePhD,active,,
Quantropy,https://github.com/AlainDaccache/Quantropy,NEW,Factor and Risk Analysis,2021-06-19 23:12:00,27.0,4.0,2.0,2020-06-13 15:34:25,2021-03-15 01:49:23,AlainDaccache/Quantropy,active,,2021-05-05 01:50:30.163258
Performance Analysis,https://github.com/quantopian/alphalens,Performance analysis of predictive (alpha) stock factors.,Factor and Risk Analysis,2021-07-03 08:06:55,1965.0,753.0,17.0,2016-06-03 21:49:15,2020-04-27 18:40:41,quantopian/alphalens,active,,
VaR GaN,https://github.com/hamaadshah/market_risk_gan_keras,Estimate Value-at-Risk for market risk management using Keras and TensorFlow.,Factor and Risk Analysis,2021-06-21 06:11:36,43.0,29.0,1.0,2018-08-06 16:09:44,2020-11-22 19:02:07,hamaadshah/market_risk_gan_tensorflow,active,,
CAPM,https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%202%2C%20CAPM.ipynb,Expected returns using CAPM.,Factor and Risk Analysis,2021-03-01 13:53:42,31.0,18.0,1.0,2016-05-10 11:03:48,2016-05-17 03:44:56,RJT1990/Active-Portfolio-Management-Notes,inactive,,
Machine_learning_In_Finance,https://github.com/chaudharigauravi/Machine_learning_In_Finance,NEW,Factor and Risk Analysis,2020-11-27 19:23:33,8.0,3.0,1.0,2019-08-03 04:04:51,2019-08-03 04:05:32,chaudharigauravi/Machine_learning_In_Finance,active,,23:57.7
DROP-Fixed-Income,https://github.com/lakshmiDRIP/DROP-Fixed-Income,NEW,Fixed Income,2021-06-16 02:44:50,20.0,10.0,1.0,2017-08-10 20:58:18,2018-09-26 19:21:02,lakshmiDRIP/DROP-Fixed-Income,inactive,,2021-06-17 01:50:56.302719
rating_history,https://github.com/govwiki/rating_history,NEW,Fixed Income,2021-05-02 23:24:59,27.0,15.0,1.0,2017-11-23 22:52:14,2017-12-03 20:42:49,govwiki/rating_history,inactive,,24:33.4
Corporate Bonds,https://github.com/ishank011/gs-quantify-bond-prediction,Predicting the buying and selling volume of the corporate bonds.,Fixed Income,2021-06-07 03:06:04,8.0,5.0,1.0,2017-09-27 19:57:13,2017-09-27 20:00:29,ishank011/gs-quantify-bond-prediction,inactive,,
DROP-Fixed-Income,https://github.com/lakshmiDRIP/DROP-Fixed-Income,NEW,Fixed Income,2021-06-16 02:44:50,20.0,10.0,1.0,2017-08-10 20:58:18,2018-09-26 19:21:02,lakshmiDRIP/DROP-Fixed-Income,inactive,,2021-06-17 01:50:56.302719
CryptoBot,https://github.com/AdeelMufti/CryptoBot,Hard fork of [bitpredit](https://github.com/cbyn/bitpredict) and form the trading strategy as a classification problem with -1 (sell) 0 (hold) 1 (buy). Models used are XGBClassifier/RandomForest/GradientBoosting. Not mentained,Other Models,2021-06-19 15:28:43,248.0,97.0,1.0,2017-01-17 12:44:52,2017-01-17 12:48:17,AdeelMufti/CryptoBot,inactive,2.0,39:24.6
surpriver,https://github.com/tradytics/surpriver,Machine learning algo to detect anomaly in equities data. Uses sklearn [IsolationForest](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.IsolationForest.html) model and price/volume based technical signals as features using [ta](https://github.com/bukosabino/ta) library. Opensourced by [tradytics](https://tradytics.com/). Code structures are less extensible,Other Models,2021-07-02 08:41:45,1245.0,235.0,6.0,2020-08-30 07:56:22,2020-09-21 04:32:05,tradytics/surpriver,active,3.0,39:24.6
Machine-Learning-and-AI-in-Trading,https://github.com/PyPatel/Machine-Learning-and-AI-in-Trading,repo covering lstm and other sklearn model for trading. Code is not structured well and less extensible,Other Models,2021-07-02 14:54:07,271.0,104.0,1.0,2017-08-30 06:14:59,2019-10-29 08:14:39,PyPatel/Machine-Learning-and-AI-in-Trading,active,2.0,39:24.6
Hands-On-Machine-Learning-for-Algorithmic-Trading,https://github.com/PacktPublishing/Hands-On-Machine-Learning-for-Algorithmic-Trading,repo for book [hands-on-machine learning for algorithmic trading](https://www.packtpub.com/product/hands-on-machine-learning-for-algorithmic-trading/9781789346411) covering topic from data/unsupervised learning/NPL/RNN & CNN/reinforcement learning etc. Leverage zipline/alphalens/sklearn/openai-gym etc as well. Good references to have,Other Models,2021-07-03 17:54:20,646.0,418.0,2.0,2019-05-07 11:04:25,2021-01-19 07:51:00,PacktPublishing/Hands-On-Machine-Learning-for-Algorithmic-Trading,active,5.0,39:24.6
MathAndScienceNotes,https://github.com/melling/MathAndScienceNotes,Collections of news/articles on various topics including quant trading and machine learning. Some articles are from [ycombinator message board](https://news.ycombinator.com/news) and [rediit algotrading forum](https://www.reddit.com/r/algotrading/),Other Models,2021-07-03 18:36:18,465.0,57.0,1.0,2016-03-11 19:13:00,2020-12-21 03:54:51,melling/MathAndScienceNotes,active,3.0,39:24.6
Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original,https://github.com/PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original,official repo for [machine learning for algorithmic trading](https://www.amazon.com/Machine-Learning-Algorithmic-Trading-alternative/dp/1839217715?pf_rd_r=GZH2XZ35GB3BET09PCCA&pf_rd_p=c5b6893a-24f2-4a59-9d4b-aff5065c90ec&pd_rd_r=91a679c7-f069-4a6e-bdbb-a2b3f548f0c8&pd_rd_w=2B0Q0&pd_rd_wg=GMY5S&ref_=pd_gw_ci_mcx_mr_hp_d) book. Covering topics including backtesting/boosting/nlp/deep&reinforcement learning. Leverage open source libraries including [backtrader](https://www.backtrader.com/) [zipline](https://github.com/quantopian/zipline) and [talib](https://github.com/mrjbq7/ta-lib),Other Models,2021-07-01 14:02:53,338.0,156.0,4.0,2019-11-15 08:51:40,2021-01-21 07:56:08,PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original,active,4.0,39:24.6
Mixture Models II,https://github.com/BlackArbsCEO/mixture_model_trading_public,Mixture models and stock trading.,Other Models,2021-07-02 05:28:11,170.0,74.0,1.0,2017-12-11 17:05:38,2020-05-13 23:50:47,BlackArbsCEO/mixture_model_trading_public,active,3.0,
awesome-ai-in-finance,https://github.com/georgezouq/awesome-ai-in-finance,curated list of books/online courses/papers on AI and finance. Topics include crypto trading strategies/ta/backter etc.,Other Models,2021-07-02 12:14:36,1039.0,183.0,8.0,2018-08-29 02:07:02,2021-07-02 07:12:52,georgezouq/awesome-ai-in-finance,active,3.0,39:24.6
Fundamental LT Forecasts,https://github.com/Hvass-Labs/FinanceOps,Research in investment finance for long term forecasts and a curated list of notebooks. Each topic contains a youtube video explaining in details. Interesting topics including using price per book ratio and other multiples for future return prediction and portfolio optimization. data sourced form [simfin](https://github.com/SimFin/simfin) yahoo finance and [s&p 500 earnings and estimate report](https://www.spglobal.com/spdji/en/documents/additional-material/sp-500-eps-est.xlsx) etc.,Other Models,2021-07-03 03:17:22,431.0,134.0,1.0,2018-07-22 08:14:46,2021-06-04 15:59:04,Hvass-Labs/FinanceOps,active,3.0,
Stanford-Project-Predicting-stock-prices-using-a-LSTM-Network,https://github.com/dduemig/Stanford-Project-Predicting-stock-prices-using-a-LSTM-Network,NEW,Other Models,2021-07-03 10:21:47,104.0,29.0,1.0,2019-02-19 17:40:43,2020-02-24 14:46:43,dduemig/Stanford-Project-Predicting-stock-prices-using-a-LSTM-Network,active,,2021-06-17 01:51:12.428196
Mixture Models I,https://github.com/BlackArbsCEO/Mixture_Models,Mixture models to predict market bottoms and regime changes based on a seminar given to quantinsti in 2017 and summary and video is [here](https://blog.quantinsti.com/webinar-can-we-use-mixture-models-to-predict-market-bottoms/). Gaussian mixture models are build on markov models and expectation maximization thoery to detect regimes and seminar reported positive results using features asset returns/tedrate/10y2ysptread/10y3m spread from fred which can be access here [fredapi](https://github.com/mortada/fredapi). Though most of the returns came from being long equities after 2009 ,Other Models,2021-05-16 20:01:22,32.0,32.0,1.0,2017-03-20 18:54:24,2017-04-25 23:35:20,BlackArbsCEO/Mixture_Models,inactive,2.0,
Machine-Learning-for-Algorithmic-Trading-Bots-with-Python,https://github.com/PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Bots-with-Python,code repo for [machine learning for algorithmic trading bots](https://www.packtpub.com/application-development/machine-learning-algorithmic-trading-bots-python-video) video series. Contains notebooks and deep dive using [zipline](https://github.com/quantopian/zipline),Other Models,2021-07-02 20:24:54,193.0,104.0,5.0,2018-12-06 11:35:08,2021-01-18 06:40:53,PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Bots-with-Python,active,3.0,39:24.6
Awesome-Quant-Machine-Learning-Trading,https://github.com/grananqvist/Awesome-Quant-Machine-Learning-Trading,curated list of books/online courses/youtube videos/blogs/interviews/papers/code etc. Updates are pretty infrequent,Other Models,2021-07-03 00:39:16,1109.0,342.0,3.0,2018-11-05 21:09:06,2020-10-08 16:48:18,grananqvist/Awesome-Quant-Machine-Learning-Trading,active,5.0,39:24.6
Trend Following,http://inseaddataanalytics.github.io/INSEADAnalytics/ExerciseSet2.html,A futures trend following portfolio investment strategy.,Other Models,,,,,,,,,,
stock-trading-ml,https://github.com/yacoubb/stock-trading-ml,lstm model using keras to predict msft prices. Data is from [alphavantage](https://www.alphavantage.co/) which provides some free data through web services. Showing how to use concatenation layer to join timeseries data with TA data. Might be abit of overfitting on the model though,Other Models,2021-07-02 21:08:40,371.0,208.0,1.0,2019-10-10 09:44:02,2019-10-12 11:38:49,yacoubb/stock-trading-ml,active,3.0,39:24.6
fin-ml,https://github.com/tatsath/fin-ml,accompanying materials for book [Machine Learning and Data Science Blueprints for Finance](https://www.amazon.com/Machine-Learning-Science-Blueprints-Finance/dp/1492073059) on top of basic machine learning models i.e. nlp/reinforcement learning/supervised & unsupervised learning it covers wider topics including robo-advisors/fraud detection/loan default/derivative pricing/yield curve construction.,Other Models,2021-07-02 14:53:22,147.0,99.0,2.0,2020-05-10 00:25:56,2021-01-23 17:15:07,tatsath/fin-ml,active,4.0,39:24.6
mlfinlab,https://github.com/hudson-and-thames/mlfinlab,open source library maintained by hudson and thames though much of the content has moved to a subscription model. Idea is to implement academic research in python code and aggregate it as a package. Sources from [Journal of financial data science](https://jfds.pm-research.com/) / [journal of portfolio management](https://jpm.pm-research.com/) / [journal of algorithmic finance](http://www.algorithmicfinance.org/) / [cambridge university press](https://www.cambridge.org/),Other Models,2021-07-03 19:07:39,2451.0,752.0,3.0,2019-02-13 16:57:25,2021-06-29 22:40:46,hudson-and-thames/mlfinlab,active,3.0,39:24.6
Scikit-learn Stock Prediction,https://github.com/robertmartin8/MachineLearningStocks,using fundamental and pricing data to predict future stock returns. Sklearn's randomforest classifier is trainded and author claimed positive live trading results. Not actively mainained,Other Models,2021-07-01 20:51:38,988.0,367.0,2.0,2017-02-12 04:50:44,2021-02-04 03:48:33,robertmartin8/MachineLearningStocks,active,3.0,
MagentoExtensions,https://github.com/5mehulhelp5/MagentoExtensions,NEW,Fixed Income,2021-06-30 10:33:53,110.0,109.0,2.0,2014-07-03 05:45:54,2017-11-24 16:15:49,5mehulhelp5/MagentoExtensions,inactive,,24:33.4
woe,https://github.com/boredbird/woe,NEW,Fixed Income,2021-06-17 02:46:24,226.0,96.0,1.0,2017-09-11 07:15:04,2018-03-01 10:45:40,boredbird/woe,inactive,,24:33.4
market-data,https://github.com/kriasoft/market-data,NEW,Fixed Income,2020-06-22 10:58:20,25.0,20.0,1.0,2012-12-07 13:42:48,2012-12-15 12:10:06,kriasoft/market-data,inactive,,24:33.4
Vasicek,https://github.com/RobinsonGarcia/fixed-income/blob/master/2.0%20Vasicek%20-%20example.ipynb,Bootstrapping and interpolation.,Fixed Income,2020-12-10 21:20:03,3.0,3.0,1.0,2018-07-18 19:26:54,2018-07-18 19:34:48,RobinsonGarcia/fixed-income,inactive,,
Binomial Tree,https://github.com/hy-lei/math-finance-exercise,Utility functions in fixed income securities.,Fixed Income,2020-10-06 20:55:18,1.0,2.0,1.0,2019-02-02 08:44:14,2019-05-03 17:16:52,hy-lei/math-finance-toolbox,inactive,,
Pattern-Recognition-for-Forex-Trading,https://github.com/PythonProgramming/Pattern-Recognition-for-Forex-Trading,repo for article [pattern recognization for forex trading](https://pythonprogramming.net/machine-learning-pattern-recognition-algorithmic-forex-stock-trading/) not very scalable and not maintained,Other Models,2021-06-28 15:55:02,178.0,93.0,1.0,2015-03-26 02:22:03,2015-03-26 02:33:51,PythonProgramming/Pattern-Recognition-for-Forex-Trading,inactive,1.0,39:24.6
Short-Term Movement Cues,https://github.com/anfederico/Clairvoyant,Identify social/historical cues for short term stock movement. Sklearn SVM model is used and good visualization coded in matplotlib,Other Models,2021-06-28 07:06:20,2193.0,705.0,1.0,2016-09-12 18:38:17,2021-06-24 15:43:54,anfederico/clairvoyant,active,3.0,
mosquito,https://github.com/miro-ka/mosquito,base framework trading bot for crypto. Stores data in local mongodb instance and supports backtest and live trading on [poloniex](https://poloniex.com/) and [bittrex](https://bittrex.com/) which are 12-15th ranked crypto exchanges by volume. Leverage [talib](https://github.com/mrjbq7/ta-lib) for ta data and [plotly](https://github.com/plotly/plotly.py) for visualization,Other Models,2021-07-02 13:20:41,240.0,45.0,2.0,2017-06-18 19:57:17,2021-03-14 22:22:00,miro-ka/mosquito,active,3.0,39:24.6
Machine-Learning-For-Finance,https://github.com/anthonyng2/Machine-Learning-For-Finance,accompanying materials for slide [here](https://github.com/anthonyng2/Machine-Learning-For-Finance/blob/master/Regression%20Based%20Machine%20Learning%20for%20Algorithmic%20Trading/Machine%20Learning%20-%20Linear%20Regression%20for%20Algo%20Trading%20v2017-07-13.pdf) covering more tradition quant trading topics like pair trading/kalman filter/trend following etc. Referecing interesting paper [characterization of financial time series](http://www.cs.ucl.ac.uk/fileadmin/UCL-CS/research/Research_Notes/RN_11_01.pdf),Other Models,2021-06-04 14:27:22,205.0,121.0,1.0,2017-07-11 09:09:15,2018-02-21 05:36:35,anthonyng2/Machine-Learning-For-Finance,inactive,2.0,39:24.6
botflow,https://github.com/kkyon/botflow,python dataflow programming framework. Similar and probably replaceable by sklearn.pipeline module. Uses [graphviz](https://graphviz.org/) for visiualization though not maintained with last commit over 3 years ago,Other Models,2021-07-02 21:46:14,1176.0,102.0,8.0,2018-08-20 03:13:31,2019-05-23 14:40:50,kkyon/botflow,inactive,2.0,39:24.6
Speculator,https://github.com/amicks/Speculator,python code to predict crypto prices using machine learning models. Two models used here tensorflow DNNClassifier and sklearn randomforest. Exposes the functionality as web services api using flask. Some idea are based on this paper [predicting the direction of stock market prices](https://arxiv.org/pdf/1605.00003.pdf),Other Models,2021-07-01 00:48:21,107.0,31.0,2.0,2017-09-03 17:43:03,2018-09-12 18:58:38,amicks/Speculator,inactive,3.0,39:24.6
Machine-Learning-for-Finance,https://github.com/PacktPublishing/Machine-Learning-for-Finance,repo for book [machine learning for finance](https://www.packtpub.com/product/machine-learning-for-finance/9781789136364) with heavier focus on machine learning and less on finance. Topics covered including computer vision/time series/nlp/generative models (i.e. autoencoder)/reinforcement learning/debugging ml systems,Other Models,2021-06-14 12:07:26,192.0,131.0,4.0,2018-03-15 06:28:00,2021-01-14 15:58:03,PacktPublishing/Machine-Learning-for-Finance,active,3.0,39:24.6
Scikit-learn Stock Prediction,https://github.com/robertmartin8/MachineLearningStocks,using fundamental and pricing data to predict future stock returns. Sklearn's randomforest classifier is trainded and author claimed positive live trading results. Not actively mainained,Other Models,2021-07-01 20:51:38,988.0,367.0,2.0,2017-02-12 04:50:44,2021-02-04 03:48:33,robertmartin8/MachineLearningStocks,active,3.0,
finance_ml,https://github.com/jjakimoto/finance_ml,unofficial repo based on [Advances in Financial Machine Learning](https://www.amazon.com/Advances-Financial-Machine-Learning-Marcos/dp/1119482089). It's incomplete and not updated,Other Models,2021-07-02 11:53:01,304.0,130.0,1.0,2018-06-29 21:21:17,2021-06-07 19:28:50,jjakimoto/finance_ml,active,1.0,39:24.6
AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,machine learning framework built on sklearn and pandas. Support pyfolio/xgboost/lightgmb/catboost(gradient boosting on decision tress) etc. Examples include financial market prediction/sports prediction/kaggle. Configurations are set though yaml file for all model process including feature selection/grid search on parameters and aggregate results for each model,Other Models,2021-06-28 22:10:18,613.0,137.0,3.0,2016-02-14 00:47:32,2021-02-08 21:35:40,ScottfreeLLC/AlphaPy,active,4.0,39:24.6
Microservices-Based-Algorithmic-Trading-System,https://github.com/saeed349/Microservices-Based-Algorithmic-Trading-System,docker based platfrom for developing algo trading strategies. Very interesting combinations of open source components were used including [backtrader](https://www.backtrader.com/) for backtest strategies / [mlflow](https://mlflow.org/) for managing the machine learning model life cycle (i.e. training and developing machine learning models) / [airflow](https://airflow.apache.org/) used as workflow management including schedule data download etc. / [superset](https://superset.apache.org/) web data visualization tool similar to tableau / [minio](https://min.io/) for fast object storage (i.e. storing saved models and model artifacts) / postgresql used to store security master and daily and minute data. Also contains some details on deployment on cloud,Other Models,2021-06-19 22:55:35,139.0,71.0,1.0,2020-01-06 00:21:58,2021-05-29 18:07:29,saeed349/Microservices-Based-Algorithmic-Trading-System,active,5.0,39:24.6
ML_Finance_Codes,https://github.com/mfrdixon/ML_Finance_Codes,accompanying materials for book [Machine Learning in Finance](https://www.springer.com/gp/book/9783030410674) covering probabilistic modeling/sequence modeling/neural networks/reinforcement learning etc.,Other Models,2021-06-29 21:50:06,292.0,127.0,3.0,2019-09-27 16:13:50,2020-06-13 21:20:26,mfrdixon/ML_Finance_Codes,active,3.0,39:24.6
Stock.Indicators,https://github.com/DaveSkender/Stock.Indicators,list of technical indicators implemented in c#. Full list and explanation available [here](https://daveskender.github.io/Stock.Indicators/docs/INDICATORS.html). This list contains several indicators that ta-lib does not cover,Other Models,2021-07-02 15:18:33,241.0,76.0,9.0,2019-12-29 05:18:07,2021-07-02 04:42:24,DaveSkender/Stock.Indicators,active,3.0,39:24.6
Speculator,https://github.com/amicks/Speculator,python code to predict crypto prices using machine learning models. Two models used here tensorflow DNNClassifier and sklearn randomforest. Exposes the functionality as web services api using flask. Some idea are based on this paper [predicting the direction of stock market prices](https://arxiv.org/pdf/1605.00003.pdf),Other Models,2021-07-01 00:48:21,107.0,31.0,2.0,2017-09-03 17:43:03,2018-09-12 18:58:38,amicks/Speculator,inactive,3.0,39:24.6
mlfinlab,https://github.com/hudson-and-thames/mlfinlab,open source library maintained by hudson and thames though much of the content has moved to a subscription model. Idea is to implement academic research in python code and aggregate it as a package. Sources from [Journal of financial data science](https://jfds.pm-research.com/) / [journal of portfolio management](https://jpm.pm-research.com/) / [journal of algorithmic finance](http://www.algorithmicfinance.org/) / [cambridge university press](https://www.cambridge.org/),Other Models,2021-07-03 19:07:39,2451.0,752.0,3.0,2019-02-13 16:57:25,2021-06-29 22:40:46,hudson-and-thames/mlfinlab,active,3.0,39:24.6
Machine-Learning-for-Algorithmic-Trading-Bots-with-Python,https://github.com/PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Bots-with-Python,code repo for [machine learning for algorithmic trading bots](https://www.packtpub.com/application-development/machine-learning-algorithmic-trading-bots-python-video) video series. Contains notebooks and deep dive using [zipline](https://github.com/quantopian/zipline),Other Models,2021-07-02 20:24:54,193.0,104.0,5.0,2018-12-06 11:35:08,2021-01-18 06:40:53,PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Bots-with-Python,active,3.0,39:24.6
stock-trading-ml,https://github.com/yacoubb/stock-trading-ml,lstm model using keras to predict msft prices. Data is from [alphavantage](https://www.alphavantage.co/) which provides some free data through web services. Showing how to use concatenation layer to join timeseries data with TA data. Might be abit of overfitting on the model though,Other Models,2021-07-02 21:08:40,371.0,208.0,1.0,2019-10-10 09:44:02,2019-10-12 11:38:49,yacoubb/stock-trading-ml,active,3.0,39:24.6
CryptoBot,https://github.com/AdeelMufti/CryptoBot,Hard fork of [bitpredit](https://github.com/cbyn/bitpredict) and form the trading strategy as a classification problem with -1 (sell) 0 (hold) 1 (buy). Models used are XGBClassifier/RandomForest/GradientBoosting. Not mentained,Other Models,2021-06-19 15:28:43,248.0,97.0,1.0,2017-01-17 12:44:52,2017-01-17 12:48:17,AdeelMufti/CryptoBot,inactive,2.0,39:24.6
fin-ml,https://github.com/tatsath/fin-ml,accompanying materials for book [Machine Learning and Data Science Blueprints for Finance](https://www.amazon.com/Machine-Learning-Science-Blueprints-Finance/dp/1492073059) on top of basic machine learning models i.e. nlp/reinforcement learning/supervised & unsupervised learning it covers wider topics including robo-advisors/fraud detection/loan default/derivative pricing/yield curve construction.,Other Models,2021-07-02 14:53:22,147.0,99.0,2.0,2020-05-10 00:25:56,2021-01-23 17:15:07,tatsath/fin-ml,active,4.0,39:24.6
surpriver,https://github.com/tradytics/surpriver,Machine learning algo to detect anomaly in equities data. Uses sklearn [IsolationForest](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.IsolationForest.html) model and price/volume based technical signals as features using [ta](https://github.com/bukosabino/ta) library. Opensourced by [tradytics](https://tradytics.com/). Code structures are less extensible,Other Models,2021-07-02 08:41:45,1245.0,235.0,6.0,2020-08-30 07:56:22,2020-09-21 04:32:05,tradytics/surpriver,active,3.0,39:24.6
Hands-On-Machine-Learning-for-Algorithmic-Trading,https://github.com/PacktPublishing/Hands-On-Machine-Learning-for-Algorithmic-Trading,repo for book [hands-on-machine learning for algorithmic trading](https://www.packtpub.com/product/hands-on-machine-learning-for-algorithmic-trading/9781789346411) covering topic from data/unsupervised learning/NPL/RNN & CNN/reinforcement learning etc. Leverage zipline/alphalens/sklearn/openai-gym etc as well. Good references to have,Other Models,2021-07-03 17:54:20,646.0,418.0,2.0,2019-05-07 11:04:25,2021-01-19 07:51:00,PacktPublishing/Hands-On-Machine-Learning-for-Algorithmic-Trading,active,5.0,39:24.6
MathAndScienceNotes,https://github.com/melling/MathAndScienceNotes,Collections of news/articles on various topics including quant trading and machine learning. Some articles are from [ycombinator message board](https://news.ycombinator.com/news) and [rediit algotrading forum](https://www.reddit.com/r/algotrading/),Other Models,2021-07-03 18:36:18,465.0,57.0,1.0,2016-03-11 19:13:00,2020-12-21 03:54:51,melling/MathAndScienceNotes,active,3.0,39:24.6
Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original,https://github.com/PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original,official repo for [machine learning for algorithmic trading](https://www.amazon.com/Machine-Learning-Algorithmic-Trading-alternative/dp/1839217715?pf_rd_r=GZH2XZ35GB3BET09PCCA&pf_rd_p=c5b6893a-24f2-4a59-9d4b-aff5065c90ec&pd_rd_r=91a679c7-f069-4a6e-bdbb-a2b3f548f0c8&pd_rd_w=2B0Q0&pd_rd_wg=GMY5S&ref_=pd_gw_ci_mcx_mr_hp_d) book. Covering topics including backtesting/boosting/nlp/deep&reinforcement learning. Leverage open source libraries including [backtrader](https://www.backtrader.com/) [zipline](https://github.com/quantopian/zipline) and [talib](https://github.com/mrjbq7/ta-lib),Other Models,2021-07-01 14:02:53,338.0,156.0,4.0,2019-11-15 08:51:40,2021-01-21 07:56:08,PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original,active,4.0,39:24.6
Machine-Learning-and-AI-in-Trading,https://github.com/PyPatel/Machine-Learning-and-AI-in-Trading,repo covering lstm and other sklearn model for trading. Code is not structured well and less extensible,Other Models,2021-07-02 14:54:07,271.0,104.0,1.0,2017-08-30 06:14:59,2019-10-29 08:14:39,PyPatel/Machine-Learning-and-AI-in-Trading,active,2.0,39:24.6
awesome-ai-in-finance,https://github.com/georgezouq/awesome-ai-in-finance,curated list of books/online courses/papers on AI and finance. Topics include crypto trading strategies/ta/backter etc.,Other Models,2021-07-02 12:14:36,1039.0,183.0,8.0,2018-08-29 02:07:02,2021-07-02 07:12:52,georgezouq/awesome-ai-in-finance,active,3.0,39:24.6
Fundamental LT Forecasts,https://github.com/Hvass-Labs/FinanceOps,Research in investment finance for long term forecasts and a curated list of notebooks. Each topic contains a youtube video explaining in details. Interesting topics including using price per book ratio and other multiples for future return prediction and portfolio optimization. data sourced form [simfin](https://github.com/SimFin/simfin) yahoo finance and [s&p 500 earnings and estimate report](https://www.spglobal.com/spdji/en/documents/additional-material/sp-500-eps-est.xlsx) etc.,Other Models,2021-07-03 03:17:22,431.0,134.0,1.0,2018-07-22 08:14:46,2021-06-04 15:59:04,Hvass-Labs/FinanceOps,active,3.0,
Stanford-Project-Predicting-stock-prices-using-a-LSTM-Network,https://github.com/dduemig/Stanford-Project-Predicting-stock-prices-using-a-LSTM-Network,NEW,Other Models,2021-07-03 10:21:47,104.0,29.0,1.0,2019-02-19 17:40:43,2020-02-24 14:46:43,dduemig/Stanford-Project-Predicting-stock-prices-using-a-LSTM-Network,active,,2021-06-17 01:51:12.428196
Mixture Models I,https://github.com/BlackArbsCEO/Mixture_Models,Mixture models to predict market bottoms and regime changes based on a seminar given to quantinsti in 2017 and summary and video is [here](https://blog.quantinsti.com/webinar-can-we-use-mixture-models-to-predict-market-bottoms/). Gaussian mixture models are build on markov models and expectation maximization thoery to detect regimes and seminar reported positive results using features asset returns/tedrate/10y2ysptread/10y3m spread from fred which can be access here [fredapi](https://github.com/mortada/fredapi). Though most of the returns came from being long equities after 2009 ,Other Models,2021-05-16 20:01:22,32.0,32.0,1.0,2017-03-20 18:54:24,2017-04-25 23:35:20,BlackArbsCEO/Mixture_Models,inactive,2.0,
Awesome-Quant-Machine-Learning-Trading,https://github.com/grananqvist/Awesome-Quant-Machine-Learning-Trading,curated list of books/online courses/youtube videos/blogs/interviews/papers/code etc. Updates are pretty infrequent,Other Models,2021-07-03 00:39:16,1109.0,342.0,3.0,2018-11-05 21:09:06,2020-10-08 16:48:18,grananqvist/Awesome-Quant-Machine-Learning-Trading,active,5.0,39:24.6
Trend Following,http://inseaddataanalytics.github.io/INSEADAnalytics/ExerciseSet2.html,A futures trend following portfolio investment strategy.,Other Models,,,,,,,,,,
Mixture Models II,https://github.com/BlackArbsCEO/mixture_model_trading_public,Mixture models and stock trading.,Other Models,2021-07-02 05:28:11,170.0,74.0,1.0,2017-12-11 17:05:38,2020-05-13 23:50:47,BlackArbsCEO/mixture_model_trading_public,active,3.0,
Machine Learning in Asset Management,https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3420952,,Personal Papers,,,,,,,,,,
Machine Learning in Asset Management—Part 2: Portfolio Construction—Weight Optimization,https://jfds.pm-research.com/content/2/2/17,,Personal Papers,,,,,,,,,,
Financial Event Prediction using Machine Learning,https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3481555,,Personal Papers,,,,,,,,,,
Machine Learning in Asset Management—Part 1: Portfolio Construction—Trading Strategies,https://jfds.pm-research.com/content/2/1/10,,Personal Papers,,,,,,,,,,
Riskfolio-Lib,https://github.com/dcajasn/Riskfolio-Lib,NEW,Portfolio Selection and Optimisation,2021-07-03 22:53:38,527.0,80.0,1.0,2020-03-02 19:49:06,2021-07-03 22:53:28,dcajasn/Riskfolio-Lib,active,,37:19.5
Distribution Characteristic Optimisation,https://github.com/VivekPa/OptimalPortfolio,Extends classical portfolio optimisation to take the skewness and kurtosis of the distribution of market invariants into account.,Portfolio Selection and Optimisation,2021-07-01 14:06:29,245.0,83.0,3.0,2018-11-16 12:20:25,2021-06-29 04:28:09,VivekPa/OptimalPortfolio,active,,
Reinforcement Learning,https://github.com/filangel/qtrader,Reinforcement Learning for Portfolio Management.,Portfolio Selection and Optimisation,2021-06-15 08:26:52,366.0,152.0,1.0,2017-10-07 09:14:33,2018-06-26 09:22:27,filangelos/qtrader,inactive,,
riskparity.py,https://github.com/dppalomar/riskparity.py,NEW,Portfolio Selection and Optimisation,2021-06-23 01:58:48,155.0,36.0,2.0,2019-07-13 21:30:55,2021-06-10 12:25:08,dppalomar/riskparity.py,active,,37:19.5
OLMAR Algorithm,https://github.com/charlessutton/OLMAR/blob/master/Part3.ipynb,Relative importance of each component of the OLMAR algorithm.,Portfolio Selection and Optimisation,2021-06-17 19:20:53,8.0,4.0,1.0,2016-07-26 16:20:10,2016-12-30 11:40:53,charlessutton/OLMAR,inactive,,
node-finance,https://github.com/albertosantini/node-finance,NEW,Portfolio Selection and Optimisation,2021-05-27 04:16:16,105.0,26.0,3.0,2011-09-17 17:49:56,2021-04-05 08:01:12,albertosantini/node-finance,active,,37:19.5
DeepDow,https://github.com/jankrepl/deepdow,Portfolio optimization with deep learning.,Portfolio Selection and Optimisation,2021-07-03 17:08:05,360.0,66.0,2.0,2020-02-02 08:46:33,2021-02-16 18:50:53,jankrepl/deepdow,active,,
401K Portfolio Optimisation,https://github.com/otosman/Python-for-Finance/blob/master/Portfolio%20Optimization%20401k.ipynb,Portfolio analyses and optimisation for 401K.,Portfolio Selection and Optimisation,2020-12-25 09:39:33,14.0,5.0,1.0,2018-08-01 19:48:24,2019-09-05 11:18:56,otosman/Python-for-Finance,active,,
PyPortfolioOpt,https://github.com/robertmartin8/PyPortfolioOpt,"Financial portfolio optimisation, including classical efficient frontier and advanced methods.",Portfolio Selection and Optimisation,2021-07-03 12:40:21,2131.0,527.0,18.0,2018-05-29 13:30:30,2021-06-17 10:18:37,robertmartin8/PyPortfolioOpt,active,,
Online Portfolio Selection,https://nbviewer.jupyter.org/github/paulperry/quant/blob/master/OLPS_Comparison.ipynb,****Comparing OLPS algorithms on a diversified set of ETFs.,Portfolio Selection and Optimisation,,,,,,,,,,
Efficient Frontier,https://github.com/tthustla/efficient_frontier/blob/master/Efficient%20_Frontier_implementation.ipynb,Modern Portfolio Theory.,Portfolio Selection and Optimisation,2021-06-30 19:45:01,110.0,59.0,1.0,2018-02-17 08:19:46,2018-02-27 13:16:57,tthustla/efficient_frontier,inactive,,
Deep Portfolio Theory,https://github.com/tcloaa/Deep-Portfolio-Theory,Autoencoder framework for portfolio selection.,Portfolio Selection and Optimisation,2021-06-05 05:01:47,107.0,60.0,1.0,2017-02-10 09:03:08,2018-03-08 16:47:00,tcloaa/Deep-Portfolio-Theory,inactive,,
Policy Gradient Portfolio,https://github.com/ZhengyaoJiang/PGPortfolio,A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem.,Portfolio Selection and Optimisation,2021-07-03 06:01:57,1325.0,640.0,6.0,2017-11-12 16:08:44,2019-05-09 09:50:18,ZhengyaoJiang/PGPortfolio,inactive,,
Deep Portfolio Theory,https://github.com/tcloaa/Deep-Portfolio-Theory,Autoencoder framework for portfolio selection.,Portfolio Selection and Optimisation,2021-06-05 05:01:47,107.0,60.0,1.0,2017-02-10 09:03:08,2018-03-08 16:47:00,tcloaa/Deep-Portfolio-Theory,inactive,,
Modern Portfolio Theory,https://nbviewer.jupyter.org/github/Marigold/universal-portfolios/blob/master/modern-portfolio-theory.ipynb,Universal portfolios; modern portfolio theory.,Portfolio Selection and Optimisation,,,,,,,,,,
DeepDow,https://github.com/jankrepl/deepdow,Portfolio optimization with deep learning.,Portfolio Selection and Optimisation,2021-07-03 17:08:05,360.0,66.0,2.0,2020-02-02 08:46:33,2021-02-16 18:50:53,jankrepl/deepdow,active,,
401K Portfolio Optimisation,https://github.com/otosman/Python-for-Finance/blob/master/Portfolio%20Optimization%20401k.ipynb,Portfolio analyses and optimisation for 401K.,Portfolio Selection and Optimisation,2020-12-25 09:39:33,14.0,5.0,1.0,2018-08-01 19:48:24,2019-09-05 11:18:56,otosman/Python-for-Finance,active,,
OLMAR Algorithm,https://github.com/charlessutton/OLMAR/blob/master/Part3.ipynb,Relative importance of each component of the OLMAR algorithm.,Portfolio Selection and Optimisation,2021-06-17 19:20:53,8.0,4.0,1.0,2016-07-26 16:20:10,2016-12-30 11:40:53,charlessutton/OLMAR,inactive,,
Riskfolio-Lib,https://github.com/dcajasn/Riskfolio-Lib,NEW,Portfolio Selection and Optimisation,2021-07-03 22:53:38,527.0,80.0,1.0,2020-03-02 19:49:06,2021-07-03 22:53:28,dcajasn/Riskfolio-Lib,active,,37:19.5
riskparity.py,https://github.com/dppalomar/riskparity.py,NEW,Portfolio Selection and Optimisation,2021-06-23 01:58:48,155.0,36.0,2.0,2019-07-13 21:30:55,2021-06-10 12:25:08,dppalomar/riskparity.py,active,,37:19.5
Reinforcement Learning,https://github.com/filangel/qtrader,Reinforcement Learning for Portfolio Management.,Portfolio Selection and Optimisation,2021-06-15 08:26:52,366.0,152.0,1.0,2017-10-07 09:14:33,2018-06-26 09:22:27,filangelos/qtrader,inactive,,
node-finance,https://github.com/albertosantini/node-finance,NEW,Portfolio Selection and Optimisation,2021-05-27 04:16:16,105.0,26.0,3.0,2011-09-17 17:49:56,2021-04-05 08:01:12,albertosantini/node-finance,active,,37:19.5
Distribution Characteristic Optimisation,https://github.com/VivekPa/OptimalPortfolio,Extends classical portfolio optimisation to take the skewness and kurtosis of the distribution of market invariants into account.,Portfolio Selection and Optimisation,2021-07-01 14:06:29,245.0,83.0,3.0,2018-11-16 12:20:25,2021-06-29 04:28:09,VivekPa/OptimalPortfolio,active,,
FinBERT,https://github.com/psnonis/FinBERT,NEW,Textual,2021-06-30 13:23:44,145.0,48.0,3.0,2019-07-09 16:34:27,2020-05-19 02:02:20,psnonis/FinBERT,active,,24:28.5
awesome-financial-nlp,https://github.com/icoxfog417/awesome-financial-nlp,NEW,Textual,2021-06-23 19:16:06,240.0,39.0,2.0,2019-10-03 03:53:20,2020-02-01 08:28:16,icoxfog417/awesome-financial-nlp,active,,24:28.5
NLP,https://github.com/toamitesh/NLPinFinance,This project assembles a lot of NLP operations needed for finance domain.,Textual,,,,,,,toamitesh/NLPinFinance,,,
financial-news-dataset,https://github.com/philipperemy/financial-news-dataset,NEW,Textual,2021-06-24 10:04:05,158.0,77.0,1.0,2016-08-23 13:29:07,2021-03-04 06:34:24,philipperemy/financial-news-dataset,active,,24:28.5
NLP Event,https://github.com/yuriak/DLQuant,Applying Deep Learning and NLP in Quantitative Trading.,Textual,2021-06-11 05:42:05,72.0,32.0,1.0,2018-07-02 23:50:52,2019-01-31 14:08:20,yuriak/DLQuant,inactive,,
Fund classification,https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb,Fund classification using text mining and NLP.,Textual,2021-03-31 02:12:50,4.0,3.0,1.0,2018-04-16 22:18:55,2018-06-07 22:01:32,frechfrechfrech/Mutual-Fund-Market-Clusters,inactive,,
Accounting Anomalies,https://github.com/GitiHubi/deepAI/blob/master/GTC_2018_Lab-solutions.ipynb,Using deep-learning frameworks to identify accounting anomalies.,Textual,2021-07-02 01:23:02,118.0,52.0,2.0,2017-05-24 12:36:38,2019-08-07 21:47:08,GitiHubi/deepAI,active,,
FinNLP-Progress,https://github.com/YangLinyi/FinNLP-Progress,NEW,Textual,2021-07-01 13:46:21,179.0,22.0,5.0,2020-05-21 09:59:56,2021-06-04 08:29:05,YangLinyi/FinNLP-Progress,active,,24:28.5
Earning call transcripts,https://github.com/lin882/WebAnalyticsProject,Correlation between mutual fund investment decision and earning call transcripts.,Textual,2020-12-17 08:24:20,3.0,3.0,1.0,2017-12-30 08:56:03,2018-01-11 02:11:11,lin882/WebAnalyticsProject,inactive,,
Financial Sentiment Analysis,https://github.com/EricHe98/Financial-Statements-Text-Analysis,"Sentiment, distance and proportion analysis for trading signals.",Textual,2021-04-30 10:07:46,50.0,27.0,1.0,2017-06-23 00:05:49,2019-01-26 03:35:55,EricHe98/Financial-Statements-Text-Analysis,inactive,,
news-emotion,https://github.com/dongyuanxin/news-emotion,NEW,Textual,2021-06-22 08:14:33,251.0,122.0,1.0,2017-09-14 02:59:03,2018-06-11 13:47:51,dongyuanxin/news-emotion,inactive,,24:28.5
Buzzwords,https://github.com/swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds,Return performance and mutual fund selection.,Textual,2020-10-06 18:54:58,1.0,4.0,1.0,2018-02-04 21:51:16,2018-02-04 21:57:09,swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds,inactive,,
BDCI2019-Negative_Finance_Info_Judge,https://github.com/A-Rain/BDCI2019-Negative_Finance_Info_Judge,NEW,Textual,2021-06-07 06:46:18,109.0,24.0,3.0,2019-12-27 03:49:31,2020-12-04 03:38:57,A-Rain/BDCI2019-Negative_Finance_Info_Judge,active,,24:28.5
Financial Statement Sentiment,https://github.com/MAydogdu/TextualAnalysis,Extracting sentiment from financial statements using neural networks.,Textual,2021-05-07 20:35:27,11.0,8.0,1.0,2018-06-04 20:54:14,2018-06-04 20:56:02,MAydogdu/TextualAnalysis,inactive,,
Extensive NLP,https://github.com/TiesdeKok/Python_NLP_Tutorial/blob/master/NLP_Notebook.ipynb,Comprehensive NLP techniques for accounting research.,Textual,2021-06-20 19:27:08,81.0,45.0,1.0,2017-10-25 07:10:26,2020-06-05 03:28:46,TiesdeKok/Python_NLP_Tutorial,active,,
Accounting Anomalies,https://github.com/GitiHubi/deepAI/blob/master/GTC_2018_Lab-solutions.ipynb,Using deep-learning frameworks to identify accounting anomalies.,Textual,2021-07-02 01:23:02,118.0,52.0,2.0,2017-05-24 12:36:38,2019-08-07 21:47:08,GitiHubi/deepAI,active,,
FinNLP-Progress,https://github.com/YangLinyi/FinNLP-Progress,NEW,Textual,2021-07-01 13:46:21,179.0,22.0,5.0,2020-05-21 09:59:56,2021-06-04 08:29:05,YangLinyi/FinNLP-Progress,active,,24:28.5
NLP Event,https://github.com/yuriak/DLQuant,Applying Deep Learning and NLP in Quantitative Trading.,Textual,2021-06-11 05:42:05,72.0,32.0,1.0,2018-07-02 23:50:52,2019-01-31 14:08:20,yuriak/DLQuant,inactive,,
financial-news-dataset,https://github.com/philipperemy/financial-news-dataset,NEW,Textual,2021-06-24 10:04:05,158.0,77.0,1.0,2016-08-23 13:29:07,2021-03-04 06:34:24,philipperemy/financial-news-dataset,active,,24:28.5
NLP,https://github.com/toamitesh/NLPinFinance,This project assembles a lot of NLP operations needed for finance domain.,Textual,,,,,,,toamitesh/NLPinFinance,,,
Buzzwords,https://github.com/swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds,Return performance and mutual fund selection.,Textual,2020-10-06 18:54:58,1.0,4.0,1.0,2018-02-04 21:51:16,2018-02-04 21:57:09,swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds,inactive,,
awesome-financial-nlp,https://github.com/icoxfog417/awesome-financial-nlp,NEW,Textual,2021-06-23 19:16:06,240.0,39.0,2.0,2019-10-03 03:53:20,2020-02-01 08:28:16,icoxfog417/awesome-financial-nlp,active,,24:28.5
Fund classification,https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb,Fund classification using text mining and NLP.,Textual,2021-03-31 02:12:50,4.0,3.0,1.0,2018-04-16 22:18:55,2018-06-07 22:01:32,frechfrechfrech/Mutual-Fund-Market-Clusters,inactive,,
FinBERT,https://github.com/psnonis/FinBERT,NEW,Textual,2021-06-30 13:23:44,145.0,48.0,3.0,2019-07-09 16:34:27,2020-05-19 02:02:20,psnonis/FinBERT,active,,24:28.5
news-emotion,https://github.com/dongyuanxin/news-emotion,NEW,Textual,2021-06-22 08:14:33,251.0,122.0,1.0,2017-09-14 02:59:03,2018-06-11 13:47:51,dongyuanxin/news-emotion,inactive,,24:28.5
Eigen-Portfolio,https://github.com/Gustrigos/Eigen-Portfolio,NEW,Unsupervised,2021-05-30 13:10:42,38.0,11.0,1.0,2018-09-05 05:29:18,2020-04-09 21:40:04,Gustrigos/Eigen-Portfolio,active,,24:29.9
hmm_market_behavior,https://github.com/lamres/hmm_market_behavior,NEW,Unsupervised,2021-02-20 07:43:59,25.0,18.0,1.0,2019-09-08 17:37:39,2020-05-10 14:36:03,lamres/hmm_market_behavior,active,,24:29.9
Stock_Support_Resistance_ML,https://github.com/judopro/Stock_Support_Resistance_ML,NEW,Unsupervised,2021-07-01 21:41:16,21.0,18.0,1.0,2019-12-22 20:25:48,2021-05-02 04:25:21,judopro/Stock_Support_Resistance_ML,active,,2021-05-07 01:53:28.160570
all-classification-templetes-for-ML,https://github.com/sayantann11/all-classification-templetes-for-ML,NEW,Unsupervised,2021-07-01 08:02:09,32.0,14.0,1.0,2020-05-05 10:28:52,2020-05-05 10:30:32,sayantann11/all-classification-templetes-for-ML,active,,24:29.9
PCA Pairs Trading,https://github.com/joelQF/quant-finance/tree/master/Artificial_IntelIigence_for_Trading,"PCA, Factor Returns, and trading strategies.",Unsupervised,,,,,,,joelQF/quant-finance,,,
Credit-Card-Fraud-Detection,https://github.com/sharmaroshan/Credit-Card-Fraud-Detection,NEW,Unsupervised,2020-12-28 10:41:20,10.0,5.0,1.0,2019-03-31 05:33:17,2019-03-31 05:38:43,sharmaroshan/Credit-Card-Fraud-Detection,inactive,,24:29.9
AnomalyDetectionOnRisk,https://github.com/SimonWesterlindVPD/AnomalyDetectionOnRisk,NEW,Unsupervised,2021-05-19 11:40:07,12.0,5.0,1.0,2018-05-31 15:53:02,2018-05-31 16:18:28,SimonWesterlindVPD/AnomalyDetectionOnRisk,inactive,,24:29.9
@@ -405,3 +406,4 @@ Industry Clustering,https://github.com/SeanMcOwen/FinanceAndPython.com-Clusterin
Industry Clustering,https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries,Clustering of industries.,Unsupervised,2020-10-06 18:51:22,4.0,6.0,1.0,2017-07-21 02:12:51,2017-07-23 02:53:37,SeanMcOwen/FinanceAndPython.com-ClusteringIndustries,inactive,,
Pairs Trading,https://github.com/marketneutral/pairs-trading-with-ML/blob/master/Pairs%2BTrading%2Bwith%2BMachine%2BLearning.ipynb,Finding pairs with cluster analysis.,Unsupervised,2021-06-08 10:54:06,85.0,40.0,0.0,2017-09-05 19:19:19,2017-09-27 20:42:14,marketneutral/pairs-trading-with-ML,inactive,,
Fund Clusters,https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb,Data exploration of fund clusters.,Unsupervised,2021-03-31 02:12:50,4.0,3.0,1.0,2018-04-16 22:18:55,2018-06-07 22:01:32,frechfrechfrech/Mutual-Fund-Market-Clusters,inactive,,
all-classification-templetes-for-ML,https://github.com/sayantann11/all-classification-templetes-for-ML,NEW,Unsupervised,2021-07-01 08:02:09,32.0,14.0,1.0,2020-05-05 10:28:52,2020-05-05 10:30:32,sayantann11/all-classification-templetes-for-ML,active,,24:29.9
1 name url comment category last_update star_count fork_count contributors_count created_at last_commit repo_path repo_status rating finml_added_date
12 Blockchain https://github.com/nud3l/dInvest Repository for distributed autonomous investment banking. Alternative Finance 2021-02-06 07:38:28 12.0 7.0 2.0 2016-09-05 19:12:40 2017-04-24 10:48:56 nud3l/dInvest inactive
13 Private Equity https://github.com/TheVinhLuong102/ChicagoBooth-EntrepreneurialFinancePrivateEquity/blob/master/RightNow%20Technologies/RightNow%20Technologies.ipynb Valuation models. Alternative Finance 2020-11-26 03:34:45 8.0 6.0 2.0 2016-01-27 21:13:33 2016-03-14 20:03:52 TheVinhLuong102/ChicagoBooth-EntrepreneurialFinancePrivateEquity inactive
14 pitch-deck https://github.com/joelparkerhenderson/pitch-deck NEW Alternative Finance 2021-07-02 16:59:44 166.0 43.0 2.0 2016-09-17 01:30:26 2021-05-19 19:49:27 joelparkerhenderson/pitch-deck active 2021-05-24 02:12:13.615391
15 NYU Courant Stanford Advanced Financial Technologies https://cims.nyu.edu/ https://fintech.stanford.edu/ Courant Institute of Mathematical Sciences, New York University Stanford Advanced Financial Technologies Laboratory Colleges Centers and Departments
Berkeley Lab CIFT https://cs.lbl.gov/news-media/news/news-archive/2010/berkeley-lab-launches-new-center-for-innovative-financial-technology/ Colleges Centers and Departments
Oxford Man https://www.oxford-man.ox.ac.uk/ Oxford-Man Institute of Quantitative Finance Colleges Centers and Departments
16 Cornell University https://www.cornell.edu/ Colleges Centers and Departments
17 NYU FRE https://engineering.nyu.edu/academics/departments/finance-and-risk-engineering Finance and Risk Engineering (NYU Tandon) Colleges Centers and Departments
18 Stanford Advanced Financial Technologies Berkeley Lab CIFT https://fintech.stanford.edu/ https://cs.lbl.gov/news-media/news/news-archive/2010/berkeley-lab-launches-new-center-for-innovative-financial-technology/ Stanford Advanced Financial Technologies Laboratory Colleges Centers and Departments
19 ML-YouTube-Courses NYU Courant https://github.com/dair-ai/ML-YouTube-Courses https://cims.nyu.edu/ NEW Courant Institute of Mathematical Sciences, New York University Courses Colleges Centers and Departments 2021-07-03 20:48:25 1072.0 65.0 1.0 2021-06-25 09:39:16 2021-06-25 10:30:39 dair-ai/ML-YouTube-Courses active 2021-06-28 01:48:33.633779
20 stat479-machine-learning-fs18 Oxford Man https://github.com/rasbt/stat479-machine-learning-fs18 https://www.oxford-man.ox.ac.uk/ NEW Oxford-Man Institute of Quantitative Finance Courses Colleges Centers and Departments 2021-06-30 15:23:44 425.0 209.0 1.0 2018-09-06 00:30:56 2018-12-20 23:45:13 rasbt/stat479-machine-learning-fs18 inactive 2021-04-19 01:25:20.750834
ml-mipt https://github.com/girafe-ai/ml-mipt NEW Courses 2021-07-01 09:42:15 544.0 384.0 7.0 2019-02-01 16:20:39 2020-11-04 10:56:04 girafe-ai/ml-mipt active 2021-04-19 01:25:20.750834
stat479-machine-learning-fs19 https://github.com/rasbt/stat479-machine-learning-fs19 NEW Courses 2021-06-03 04:03:48 651.0 225.0 1.0 2019-08-07 07:36:20 2020-11-28 00:04:07 rasbt/stat479-machine-learning-fs19 active 2021-04-19 01:25:20.750834
Online-Courses-Learning https://github.com/MrinmoiHossain/Online-Courses-Learning NEW Courses 2021-06-29 15:44:42 202.0 397.0 1.0 2018-08-12 18:52:29 2019-07-14 21:07:56 MrinmoiHossain/Online-Courses-Learning active 2021-06-21 01:58:47.497649
Introduction-to-Machine-Learning https://github.com/codeheroku/Introduction-to-Machine-Learning NEW Courses 2021-07-03 07:53:03 297.0 784.0 3.0 2019-02-09 12:07:52 2020-11-28 08:44:08 codeheroku/Introduction-to-Machine-Learning active 2021-04-19 01:25:20.750834
mlcourse https://github.com/davidrosenberg/mlcourse NEW Courses 2021-06-30 15:38:27 413.0 223.0 9.0 2015-10-11 22:18:25 2021-03-14 01:19:08 davidrosenberg/mlcourse active 2021-04-19 01:25:20.750834
JSE_OkCupid https://github.com/rudeboybert/JSE_OkCupid NEW Courses 2021-06-27 19:11:17 211.0 62.0 1.0 2015-03-28 08:38:27 2021-04-26 18:35:26 rudeboybert/JSE_OkCupid active 2021-04-19 01:25:20.750834
Artificial-Intelligence-and-Machine-Learning https://github.com/emilmont/Artificial-Intelligence-and-Machine-Learning NEW Courses 2021-07-03 03:47:50 516.0 302.0 1.0 2011-10-16 22:51:06 2013-07-20 18:21:51 emilmont/Artificial-Intelligence-and-Machine-Learning inactive 2021-04-19 01:25:20.750834
MTH594_MachineLearning https://github.com/diefimov/MTH594_MachineLearning NEW Courses 2021-06-18 17:45:58 332.0 135.0 1.0 2016-03-09 07:35:19 2017-03-31 21:46:26 diefimov/MTH594_MachineLearning inactive 2021-04-19 01:25:20.750834
Machine-Learning-by-Andrew-Ng-in-Python https://github.com/Benlau93/Machine-Learning-by-Andrew-Ng-in-Python NEW Courses 2021-06-26 07:28:46 249.0 203.0 1.0 2018-12-06 02:20:59 2019-01-11 04:24:52 Benlau93/Machine-Learning-by-Andrew-Ng-in-Python inactive 2021-04-19 01:25:20.750834
machine-learning-programming-assignments-coursera-andrew-ng https://github.com/AvaisP/machine-learning-programming-assignments-coursera-andrew-ng NEW Courses 2021-06-22 16:39:11 376.0 331.0 1.0 2016-08-20 18:05:22 2016-09-05 19:14:41 AvaisP/machine-learning-programming-assignments-coursera-andrew-ng inactive 2021-04-19 01:25:20.750834
machine-learning-resources https://github.com/datascienceid/machine-learning-resources NEW Courses 2021-06-28 12:21:18 246.0 89.0 4.0 2018-04-09 15:10:08 2019-07-30 14:25:27 datascienceid/machine-learning-resources active 2021-04-19 01:25:20.750834
ML_course https://github.com/epfml/ML_course NEW Courses 2021-07-03 19:17:03 657.0 517.0 1.0 2016-07-13 15:37:38 2021-06-08 13:49:10 epfml/ML_course active 2021-04-19 01:25:20.750834
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51 https://github.com/timestocome/StockMarketData Basic Finance https://github.com/timestocome/StockMarketData https://github.com/SeanMcOwen/FinanceAndPython.com-BasicFinance Source code notebooks basic finance applications. Data Courses 2021-06-26 07:19:31 2021-03-31 02:09:16 7.0 10.0 5.0 9.0 1.0 2017-05-10 21:49:45 2017-05-06 02:39:05 2017-08-06 19:23:18 2017-06-21 04:04:09 timestocome/StockMarketData SeanMcOwen/FinanceAndPython.com-BasicFinance inactive
52 Financial Corporate course-resources-ml-with-experts-budgets http://raw.rutgers.edu/Corporate%20Financial%20Data.html https://github.com/datacamp/course-resources-ml-with-experts-budgets NEW Data Courses 2021-06-30 03:59:54 469.0 592.0 2.0 2017-03-02 13:10:27 2017-12-14 20:46:54 datacamp/course-resources-ml-with-experts-budgets inactive 2021-04-19 01:25:20.750834
53 Capital Markets Data Machine Learning for Trading https://www.capitalmarketsdata.com/ https://github.com/stefan-jansen/machine-learning-for-trading Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading. Data Courses 2021-07-03 19:47:02 4261.0 1458.0 9.0 2018-05-09 12:33:08 2021-06-07 16:40:30 stefan-jansen/machine-learning-for-trading active
54 ML Specialisation https://github.com/Ahmed0028/Machine-Learning-and-Reinforcement-Learning-in-Finance-Specialization Machine Learning in Finance. Courses 2021-06-29 18:04:28 35.0 35.0 1.0 2019-01-24 02:55:01 2020-01-03 21:54:16 Ahmed0028/Machine-Learning-and-Reinforcement-Learning-in-Finance-Specialization active
55 python-seminar https://github.com/profjsb/python-seminar NEW Courses 2021-06-29 23:00:41 302.0 146.0 11.0 2012-08-23 03:30:01 2020-04-30 20:43:47 profjsb/python-seminar active 2021-04-19 01:25:20.750834
56 DataScienceSpCourseNotes https://github.com/sux13/DataScienceSpCourseNotes NEW Courses 2021-06-11 18:55:39 710.0 2403.0 10.0 2015-03-09 00:51:32 2016-02-16 06:12:54 sux13/DataScienceSpCourseNotes inactive 2021-04-19 01:25:20.750834
57 ppd599 https://github.com/gboeing/ppd599 NEW Courses 2021-07-01 08:05:28 1087.0 458.0 1.0 2015-09-01 19:59:59 2021-05-12 00:29:25 gboeing/ppd599 active 2021-04-19 01:25:20.750834
58 datasciencecoursera https://github.com/mGalarnyk/datasciencecoursera NEW Courses 2021-07-03 16:25:25 1785.0 1828.0 8.0 2016-12-27 03:59:24 2021-02-19 04:16:58 mGalarnyk/datasciencecoursera active 2021-04-19 01:25:20.750834
59 mlcourse.ai https://github.com/Yorko/mlcourse.ai NEW Courses 2021-07-03 15:43:09 7706.0 5067.0 191.0 2017-02-27 08:32:20 2021-06-21 15:23:28 Yorko/mlcourse.ai active 2021-04-19 01:25:20.750834
60 DAT4 https://github.com/justmarkham/DAT4 NEW Courses 2021-07-02 10:55:48 756.0 657.0 3.0 2014-12-10 19:38:29 2021-02-15 23:26:27 justmarkham/DAT4 active 2021-04-19 01:25:20.750834
61 ML_course https://github.com/epfml/ML_course NEW Courses 2021-07-03 19:17:03 657.0 517.0 1.0 2016-07-13 15:37:38 2021-06-08 13:49:10 epfml/ML_course active 2021-04-19 01:25:20.750834
62 machine-learning-resources https://github.com/datascienceid/machine-learning-resources NEW Courses 2021-06-28 12:21:18 246.0 89.0 4.0 2018-04-09 15:10:08 2019-07-30 14:25:27 datascienceid/machine-learning-resources active 2021-04-19 01:25:20.750834
63 machine-learning-programming-assignments-coursera-andrew-ng https://github.com/AvaisP/machine-learning-programming-assignments-coursera-andrew-ng NEW Courses 2021-06-22 16:39:11 376.0 331.0 1.0 2016-08-20 18:05:22 2016-09-05 19:14:41 AvaisP/machine-learning-programming-assignments-coursera-andrew-ng inactive 2021-04-19 01:25:20.750834
64 Machine-Learning-by-Andrew-Ng-in-Python https://github.com/Benlau93/Machine-Learning-by-Andrew-Ng-in-Python NEW Courses 2021-06-26 07:28:46 249.0 203.0 1.0 2018-12-06 02:20:59 2019-01-11 04:24:52 Benlau93/Machine-Learning-by-Andrew-Ng-in-Python inactive 2021-04-19 01:25:20.750834
65 MTH594_MachineLearning https://github.com/diefimov/MTH594_MachineLearning NEW Courses 2021-06-18 17:45:58 332.0 135.0 1.0 2016-03-09 07:35:19 2017-03-31 21:46:26 diefimov/MTH594_MachineLearning inactive 2021-04-19 01:25:20.750834
66 Artificial-Intelligence-and-Machine-Learning https://github.com/emilmont/Artificial-Intelligence-and-Machine-Learning NEW Courses 2021-07-03 03:47:50 516.0 302.0 1.0 2011-10-16 22:51:06 2013-07-20 18:21:51 emilmont/Artificial-Intelligence-and-Machine-Learning inactive 2021-04-19 01:25:20.750834
67 ml-course-msu https://github.com/esokolov/ml-course-msu NEW Courses 2021-06-20 21:13:29 770.0 302.0 1.0 2015-09-11 08:51:24 2018-05-07 15:40:56 esokolov/ml-course-msu inactive 2021-04-19 01:25:20.750834
68 JSE_OkCupid https://github.com/rudeboybert/JSE_OkCupid NEW Courses 2021-06-27 19:11:17 211.0 62.0 1.0 2015-03-28 08:38:27 2021-04-26 18:35:26 rudeboybert/JSE_OkCupid active 2021-04-19 01:25:20.750834
69 Introduction-to-Machine-Learning https://github.com/codeheroku/Introduction-to-Machine-Learning NEW Courses 2021-07-03 07:53:03 297.0 784.0 3.0 2019-02-09 12:07:52 2020-11-28 08:44:08 codeheroku/Introduction-to-Machine-Learning active 2021-04-19 01:25:20.750834
70 Online-Courses-Learning https://github.com/MrinmoiHossain/Online-Courses-Learning NEW Courses 2021-06-29 15:44:42 202.0 397.0 1.0 2018-08-12 18:52:29 2019-07-14 21:07:56 MrinmoiHossain/Online-Courses-Learning active 2021-06-21 01:58:47.497649
71 stat479-machine-learning-fs19 https://github.com/rasbt/stat479-machine-learning-fs19 NEW Courses 2021-06-03 04:03:48 651.0 225.0 1.0 2019-08-07 07:36:20 2020-11-28 00:04:07 rasbt/stat479-machine-learning-fs19 active 2021-04-19 01:25:20.750834
72 ml-mipt https://github.com/girafe-ai/ml-mipt NEW Courses 2021-07-01 09:42:15 544.0 384.0 7.0 2019-02-01 16:20:39 2020-11-04 10:56:04 girafe-ai/ml-mipt active 2021-04-19 01:25:20.750834
73 stat479-machine-learning-fs18 https://github.com/rasbt/stat479-machine-learning-fs18 NEW Courses 2021-06-30 15:23:44 425.0 209.0 1.0 2018-09-06 00:30:56 2018-12-20 23:45:13 rasbt/stat479-machine-learning-fs18 inactive 2021-04-19 01:25:20.750834
74 ML-YouTube-Courses https://github.com/dair-ai/ML-YouTube-Courses NEW Courses 2021-07-03 20:48:25 1072.0 65.0 1.0 2021-06-25 09:39:16 2021-06-25 10:30:39 dair-ai/ML-YouTube-Courses active 2021-06-28 01:48:33.633779
75 cornell-cs5785-applied-ml https://github.com/kuleshov/cornell-cs5785-applied-ml NEW Courses 2021-07-02 13:41:39 204.0 70.0 1.0 2021-03-26 06:33:58 2021-03-26 07:52:04 kuleshov/cornell-cs5785-applied-ml active 2021-07-05 01:46:13.555262
76 mlcourse https://github.com/davidrosenberg/mlcourse NEW Courses 2021-06-30 15:38:27 413.0 223.0 9.0 2015-10-11 22:18:25 2021-03-14 01:19:08 davidrosenberg/mlcourse active 2021-04-19 01:25:20.750834
77 machine-learning-course https://github.com/instillai/machine-learning-course NEW Courses 2021-07-03 16:56:44 6684.0 1223.0 9.0 2019-02-15 00:23:19 2020-04-21 03:19:12 instillai/machine-learning-course active 2021-04-19 01:25:20.750834
78 machine-learning-notebooks https://github.com/krasserm/machine-learning-notebooks NEW Courses 2021-06-11 17:03:50 299.0 126.0 1.0 2017-07-24 10:21:05 2020-09-07 12:48:43 krasserm/machine-learning-notebooks active 2021-04-19 01:25:20.750834
79 MachineLearningWithPython https://github.com/JerryKurata/MachineLearningWithPython NEW Courses 2021-07-03 20:07:15 234.0 347.0 1.0 2016-04-24 21:20:10 2021-04-15 18:17:30 JerryKurata/MachineLearningWithPython active 2021-04-19 01:25:20.750834
80 zero-to-mastery-ml https://github.com/mrdbourke/zero-to-mastery-ml NEW Courses 2021-07-04 00:34:52 783.0 1349.0 15.0 2019-09-23 04:56:51 2021-06-09 00:10:06 mrdbourke/zero-to-mastery-ml active 2021-04-19 01:25:20.750834
81 DAT7 https://github.com/justmarkham/DAT7 NEW Courses 2021-07-01 11:01:17 229.0 199.0 1.0 2015-05-16 02:29:54 2016-03-18 16:20:30 justmarkham/DAT7 inactive 2021-04-19 01:25:20.750834
82 ciml https://github.com/hal3/ciml NEW Courses 2021-07-01 14:55:43 781.0 220.0 2.0 2015-08-12 19:26:00 2017-01-20 16:24:19 hal3/ciml inactive 2021-04-19 01:25:20.750834
83 DAT3 https://github.com/justmarkham/DAT3 NEW Courses 2021-07-01 11:01:29 625.0 372.0 4.0 2014-09-18 20:30:19 2020-05-19 09:21:02 justmarkham/DAT3 active 2021-04-19 01:25:20.750834
84 Coursera-Stanford-ML-Python https://github.com/mstampfer/Coursera-Stanford-ML-Python NEW Courses 2021-06-25 04:39:23 408.0 233.0 3.0 2015-10-28 19:51:00 2016-09-02 00:21:30 mstampfer/Coursera-Stanford-ML-Python inactive 2021-04-19 01:25:20.750834
85 2014 https://github.com/cs109/2014 NEW Courses 2021-05-17 01:31:57 309.0 765.0 4.0 2014-07-21 22:46:20 2014-12-17 14:37:02 cs109/2014 inactive 2021-04-19 01:25:20.750834
86 DP100 https://github.com/MicrosoftLearning/DP100 NEW Courses 2021-07-01 14:49:55 503.0 519.0 2.0 2020-01-06 20:38:41 2020-12-30 17:22:42 MicrosoftLearning/DP100 active 2021-04-19 01:25:20.750834
87 machine-learning-coursera-1 https://github.com/Borye/machine-learning-coursera-1 NEW Courses 2021-06-28 10:38:33 1112.0 938.0 1.0 2014-08-28 10:48:18 2014-06-17 10:37:27 Borye/machine-learning-coursera-1 inactive 2021-04-19 01:25:20.750834
88 awesome-ml-courses https://github.com/luspr/awesome-ml-courses NEW Courses 2021-07-03 02:25:46 2017.0 221.0 4.0 2020-05-08 20:41:59 2021-02-18 20:26:31 luspr/awesome-ml-courses active 2021-04-19 01:25:20.750834
89 Stanford-Machine-Learning-Course https://github.com/zhouxc/Stanford-Machine-Learning-Course NEW Courses 2021-06-29 08:12:17 513.0 365.0 1.0 2011-12-25 10:00:48 2011-12-25 10:01:12 zhouxc/Stanford-Machine-Learning-Course inactive 2021-04-19 01:25:20.750834
90 dive-into-machine-learning https://github.com/hangtwenty/dive-into-machine-learning NEW Courses 2021-07-03 22:26:05 10601.0 1942.0 30.0 2015-02-22 23:48:16 2021-03-15 05:34:55 hangtwenty/dive-into-machine-learning active 2021-04-19 01:25:20.750834
91 deploying-machine-learning-models https://github.com/trainindata/deploying-machine-learning-models NEW Courses 2021-06-26 06:58:26 316.0 2945.0 2.0 2019-01-09 20:30:46 2021-06-20 20:37:28 trainindata/deploying-machine-learning-models active 2021-04-19 01:25:20.750834
92 machine-learning-online-2018 https://github.com/coding-blocks-archives/machine-learning-online-2018 NEW Courses 2021-07-02 12:31:34 262.0 524.0 3.0 2018-07-18 04:24:58 2020-07-02 09:24:40 coding-blocks-archives/machine-learning-online-2018 active 2021-04-19 01:25:20.750834
93 tensorflow-without-a-phd https://github.com/GoogleCloudPlatform/tensorflow-without-a-phd NEW Courses 2021-07-03 16:56:02 2413.0 845.0 11.0 2018-05-09 18:33:40 2020-06-03 21:08:32 GoogleCloudPlatform/tensorflow-without-a-phd active 2021-04-19 01:25:20.750834
94 Udemy---Machine-Learning https://github.com/jmportilla/Udemy---Machine-Learning NEW Courses 2021-06-15 09:17:29 208.0 408.0 3.0 2015-04-27 22:44:40 2016-07-06 23:58:33 jmportilla/Udemy---Machine-Learning inactive 2021-04-19 01:25:20.750834
95 master https://github.com/ML-course/master NEW Courses 2021-06-03 03:57:21 341.0 174.0 11.0 2017-02-04 22:44:35 2021-04-23 22:36:34 ML-course/master active 2021-04-19 01:25:20.750834
96 machine-learning-coursera https://github.com/yhyap/machine-learning-coursera NEW Courses 2021-06-30 14:10:34 231.0 196.0 1.0 2013-05-03 09:41:53 2013-05-05 11:58:38 yhyap/machine-learning-coursera inactive 2021-04-19 01:25:20.750834
97 Rating Industries http://www.ratingshistory.info/ Data
98 cointrader Employee Count SEC Filings https://github.com/timolson/cointrader https://github.com/healthgradient/sec_employee_information_extraction java based platform for trading crypto. Relevant sections including using esper event queries to transform data and place orders Data Processing Techniques and Transformations Data 2021-06-29 10:50:52 2021-04-18 03:25:43 365.0 11.0 145.0 2.0 9.0 1.0 2014-06-01 01:14:12 2018-06-26 23:33:51 2021-05-19 17:05:49 2018-08-14 01:31:13 timolson/cointrader healthgradient/sec_employee_information_extraction active inactive 2.0 12:49.2
99 CryptoNets Capital Markets Data https://github.com/microsoft/CryptoNets https://www.capitalmarketsdata.com/ CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with [Homomorphic Encryption](https://www.cs.cmu.edu/~odonnell/hits09/gentry-homomorphic-encryption.pdf). Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted. Data Processing Techniques and Transformations Data 2021-06-12 18:53:10 160.0 46.0 4.0 2019-06-02 05:48:39 2019-09-12 13:03:05 microsoft/CryptoNets active 2.0 12:49.2
100 Google-Finance-Stock-Data-Analysis Financial Corporate https://github.com/hpnhxxwn/Google-Finance-Stock-Data-Analysis http://raw.rutgers.edu/Corporate%20Financial%20Data.html data processing platform which stream data from kafka. The example shows two incoming data stream stock vs tweets and two spark streams are created to consume the kafka data then end results are stored in cassandra. Older tech stacks were used and not actively maintained. Data Processing Techniques and Transformations Data 2021-04-24 12:13:48 71.0 10.0 1.0 2017-07-23 02:59:59 2017-07-23 03:10:35 hpnhxxwn/Google-Finance-Stock-Data-Analysis inactive 3.0 12:49.2
101 Advanced ML https://github.com/timestocome/StockMarketData https://github.com/BlackArbsCEO/Adv_Fin_ML_Exercises https://github.com/timestocome/StockMarketData Exercises to book [advances in financial machine learning](https://www.wiley.com/en-us/Advances+in+Financial+Machine+Learning-p-9781119482109). Relevant topics include data cleaning and outlier detection (using MAD) Data Processing Techniques and Transformations Data 2021-07-01 20:31:36 2021-06-26 07:19:31 1039.0 7.0 454.0 5.0 4.0 1.0 2018-04-25 17:22:40 2017-05-10 21:49:45 2020-01-16 17:25:41 2017-08-06 19:23:18 BlackArbsCEO/Adv_Fin_ML_Exercises timestocome/StockMarketData active inactive 4.0
102 EDGAR https://github.com/TiesdeKok/UW_Python_Camp/blob/master/Materials/Session_5/EDGAR_walkthrough.ipynb Data 2021-06-29 15:03:48 13.0 11.0 1.0 2018-06-11 22:51:57 2018-07-10 18:03:52 TiesdeKok/UW_Python_Camp inactive
103 SEC Parsing https://github.com/healthgradient/sec-doc-info-extraction/blob/master/classify_sections_containing_relevant_information.ipynb Data 2021-02-27 06:34:55 9.0 6.0 1.0 2018-06-16 14:30:06 2018-06-16 17:23:46 healthgradient/sec-doc-info-extraction inactive
104 IRS http://social-metrics.org/sox/ Data
105 Web Scraping (FirmAI) https://github.com/firmai/business-machine-learning/blob/master/www.firmai.org/data Data 2021-07-04 00:08:31 587.0 190.0 2.0 2019-02-19 19:02:59 2020-07-22 16:48:21 firmai/business-machine-learning active
106 https://stooq.com https://stooq.com Data
107 Non-financial Corporate http://raw.rutgers.edu/Non-Financial%20Corporate%20Data.html Data
108 http://finance.yahoo.com/ http://finance.yahoo.com/ Data
109 https://fred.stlouisfed.org/ https://fred.stlouisfed.org/ Data
110 Open Edgar https://github.com/LexPredict/openedgar Data 2021-06-23 20:36:15 180.0 64.0 6.0 2018-05-07 15:32:31 2019-05-15 08:32:30 LexPredict/openedgar inactive
111 finserv-application-blueprint https://github.com/mapr-demos/finserv-application-blueprint generate streamable data using mapr converged data platfrom built mostly in java. Uses apache [zepplin](https://zeppelin.apache.org/) for web visualization Data Processing Techniques and Transformations 2021-06-08 14:08:51 73.0 53.0 5.0 2016-09-26 19:42:54 2021-06-07 17:38:13 mapr-demos/finserv-application-blueprint active 2.0 12:49.2
112 Advanced ML https://github.com/BlackArbsCEO/Adv_Fin_ML_Exercises Exercises to book [advances in financial machine learning](https://www.wiley.com/en-us/Advances+in+Financial+Machine+Learning-p-9781119482109). Relevant topics include data cleaning and outlier detection (using MAD) Data Processing Techniques and Transformations 2021-07-01 20:31:36 1039.0 454.0 4.0 2018-04-25 17:22:40 2020-01-16 17:25:41 BlackArbsCEO/Adv_Fin_ML_Exercises active 4.0
113 Twitter-Trends https://github.com/Medha11/Twitter-Trends sentiment analysis baed on twitter data. Relevant topics include data cleaning/tokenization/data aggregation using mangodb etc. Data Processing Techniques and Transformations 2021-07-03 23:16:43 70.0 20.0 1.0 2017-05-22 17:07:45 2017-05-23 08:06:27 Medha11/Twitter-Trends inactive 3.0 12:49.2
114 CryptoNets https://github.com/microsoft/CryptoNets CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with [Homomorphic Encryption](https://www.cs.cmu.edu/~odonnell/hits09/gentry-homomorphic-encryption.pdf). Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted. Data Processing Techniques and Transformations 2021-06-12 18:53:10 160.0 46.0 4.0 2019-06-02 05:48:39 2019-09-12 13:03:05 microsoft/CryptoNets active 2.0 12:49.2
115 cointrader https://github.com/timolson/cointrader java based platform for trading crypto. Relevant sections including using esper event queries to transform data and place orders Data Processing Techniques and Transformations 2021-06-29 10:50:52 365.0 145.0 9.0 2014-06-01 01:14:12 2021-05-19 17:05:49 timolson/cointrader active 2.0 12:49.2
116 Google-Finance-Stock-Data-Analysis https://github.com/hpnhxxwn/Google-Finance-Stock-Data-Analysis data processing platform which stream data from kafka. The example shows two incoming data stream stock vs tweets and two spark streams are created to consume the kafka data then end results are stored in cassandra. Older tech stacks were used and not actively maintained. Data Processing Techniques and Transformations 2021-04-24 12:13:48 71.0 10.0 1.0 2017-07-23 02:59:59 2017-07-23 03:10:35 hpnhxxwn/Google-Finance-Stock-Data-Analysis inactive 3.0 12:49.2
117 Personae https://github.com/Ceruleanacg/Personae implementation of deep reinforcement learning and supervised learnings covering areas: deep deterministic policy gradient (DDPG) and DDQN etc. Data are being pulled from [rqalpha](https://github.com/ricequant/rqalpha) which is a python backtest engine and have a nice docker image to run training/testing Deep Learning And Reinforcement Learning 2021-06-22 10:41:57 1153.0 334.0 2.0 2018-03-10 11:22:00 2018-09-02 17:21:38 Ceruleanacg/Personae inactive 5.0 3/31/21 8:00
118 RL IV https://github.com/jjakimoto/DQN Reinforcement Learning for finance. Deep Learning And Reinforcement Learning 2021-05-31 10:06:44 143.0 55.0 1.0 2016-10-21 02:47:17 2017-04-07 08:11:57 jjakimoto/DQN inactive
119 RL II https://github.com/deependersingla/deep_trader reinforcement learning on stock market and agent tries to learn trading. Deep Learning And Reinforcement Learning 2021-07-01 16:53:08 1355.0 489.0 3.0 2016-06-11 07:27:10 2018-01-22 14:35:50 deependersingla/deep_trader inactive 3.0
120 RL V https://github.com/gstenger98/rl-finance Building an Agent to Trade with Reinforcement Learning. Deep Learning And Reinforcement Learning 2021-04-08 18:57:53 33.0 9.0 5.0 2019-01-16 00:43:36 2020-03-19 20:28:08 gstenger98/rl-finance active 2.0
121 FinRL https://github.com/AI4Finance-LLC/FinRL NEW Deep Learning And Reinforcement Learning 2021-07-03 19:56:14 2237.0 582.0 22.0 2020-07-26 13:18:16 2021-07-03 18:16:42 AI4Finance-LLC/FinRL active 13:03.7
122 Deep Learning https://github.com/keon/deepstock Technical experimentations to beat the stock market using deep learning. Deep Learning And Reinforcement Learning 2021-06-28 07:18:52 430.0 154.0 2.0 2016-12-12 02:15:12 2017-03-04 08:37:29 keon/deepstock inactive 4.0
123 LTSM Recurrent https://github.com/VivekPa/AIAlpha OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network. Deep Learning And Reinforcement Learning 2021-06-30 07:55:30 1252.0 387.0 2.0 2018-10-07 03:58:26 2019-08-03 09:00:44 VivekPa/AIAlpha active 4.0
124 Deep Learning IV https://github.com/achillesrasquinha/bulbea Bulbea: Deep Learning based Python Library. Deep Learning And Reinforcement Learning 2021-07-03 12:31:56 1506.0 423.0 1.0 2017-03-09 06:11:06 2017-03-19 07:42:49 achillesrasquinha/bulbea inactive 5.0
125 Machine-Learning-and-Reinforcement-Learning-in-Finance https://github.com/joelowj/Machine-Learning-and-Reinforcement-Learning-in-Finance NEW Deep Learning And Reinforcement Learning 2021-07-02 03:29:00 183.0 96.0 1.0 2018-06-26 04:30:08 2018-09-23 16:50:33 joelowj/Machine-Learning-and-Reinforcement-Learning-in-Finance inactive 39:11.1
126 Deep-Reinforcement-Stock-Trading https://github.com/Albert-Z-Guo/Deep-Reinforcement-Stock-Trading inspired by Q-trader a deep reinforcement learning repo for trading. Only 3 actions allowed (buy/hold/sell) and no transaction cost is implemented yet. Uses [empyrical](https://github.com/quantopian/empyrical) for portfolio stats Deep Learning And Reinforcement Learning 2021-07-02 03:14:09 162.0 46.0 2.0 2019-05-19 22:20:05 2020-09-27 19:22:28 Albert-Z-Guo/Deep-Reinforcement-Stock-Trading active 3.0 3/31/21 8:00
127 Neural Network https://github.com/VivekPa/IntroNeuralNetworks Neural networks to predict stock prices. Deep Learning And Reinforcement Learning 2021-07-03 06:23:41 516.0 178.0 2.0 2018-09-10 06:34:53 2018-11-21 07:39:31 VivekPa/IntroNeuralNetworks inactive 4.0
128 RLTrader https://github.com/notadamking/RLTrader predecessor to [tensortrade](https://github.com/tensortrade-org/tensortrade) uses open api [gym](https://gym.openai.com/) and neat way to render matplotlib plots in real time. Also explains LSTM/data stationarity/Bayesian optimization using [Optuna](https://github.com/optuna/optuna) etc. Deep Learning And Reinforcement Learning 2021-06-30 13:54:10 1368.0 475.0 15.0 2019-04-27 18:35:15 2019-10-17 16:25:49 notadamking/RLTrader active 5.0 3/31/21 8:00
129 gym-trading https://github.com/hackthemarket/gym-trading NEW Deep Learning And Reinforcement Learning 2021-07-03 07:06:51 596.0 198.0 2.0 2016-12-09 20:46:19 2017-12-24 15:34:37 hackthemarket/gym-trading inactive 39:11.1
130 Deep Learning II https://github.com/LiamConnell/deep-algotrading/tree/master/notebooks Tensorflow Regression. Deep Learning And Reinforcement Learning 2021-06-24 15:46:03 179.0 68.0 1.0 2016-07-12 12:56:10 2018-02-16 02:43:36 LiamConnell/deep-algotrading inactive 3.0
131 trading-rl https://github.com/Kostis-S-Z/trading-rl Deep reinforcement learning for financial trading using [gym](https://gym.openai.com/) and [keras-rl](https://github.com/keras-rl/keras-rl) on FX dataset (EURUSD) not actively maintained Deep Learning And Reinforcement Learning 2021-06-25 07:52:45 182.0 38.0 2.0 2019-04-22 10:03:21 2020-09-28 09:07:18 Kostis-S-Z/trading-rl active 3.0 3/31/21 8:00
132 RL III https://github.com/samre12/deep-trading-agent Github -Deep Reinforcement Learning based Trading Agent for Bitcoin. Deep Learning And Reinforcement Learning 2021-06-27 06:41:46 598.0 205.0 1.0 2017-09-21 17:05:19 2018-04-13 16:33:21 samre12/deep-trading-agent inactive 3.0
133 maro https://github.com/microsoft/maro NEW Deep Learning And Reinforcement Learning 2021-07-03 14:21:08 441.0 79.0 19.0 2019-12-27 06:48:27 2021-07-02 07:56:16 microsoft/maro active 39:11.1
134 tensortrade https://github.com/tensortrade-org/tensortrade NEW Deep Learning And Reinforcement Learning 2021-07-03 12:43:58 3295.0 773.0 42.0 2019-07-30 21:28:32 2021-06-19 21:14:43 tensortrade-org/tensortrade active 39:11.1
135 TradingGym https://github.com/Yvictor/TradingGym NEW Deep Learning And Reinforcement Learning 2021-07-03 06:08:49 886.0 244.0 2.0 2017-05-01 13:53:32 2018-02-14 13:58:18 Yvictor/TradingGym inactive 39:11.1
136 Advanced-Deep-Trading https://github.com/Rachnog/Advanced-Deep-Trading notebooks containing experiments based on Lopez de Prado book "Advances in financial machine learning". Mostly not deep learning related but rather sklearn regression models. Interesting libraries include [mlfinlab](https://github.com/hudson-and-thames/mlfinlab) for calculating return stats and [shap](https://github.com/slundberg/shap) for explaining models. Examlpe of shap can be which features are pushing the value up and and which features are pushing the value down. Also contain functions for calculating geometric brownian motion and jump diffusion functions. Deep Learning And Reinforcement Learning 2021-06-17 06:48:21 331.0 162.0 2.0 2019-02-16 21:18:00 2020-11-29 20:12:59 Rachnog/Advanced-Deep-Trading active 3.0 3/31/21 8:00
137 Stock-Prediction-Models https://github.com/huseinzol05/Stock-Prediction-Models very good curated list of notebooks showing deep learning + reinforcement learning models. Also contain topics on outlier detections/overbought oversold study/monte carlo simulartions/sentiment analysis from text (text storage/parsing is not detailed but it mentioned using [BERT](https://github.com/google-research/bert)) Deep Learning And Reinforcement Learning 2021-07-03 19:43:55 4094.0 1682.0 2.0 2017-12-18 10:49:59 2021-01-05 10:31:50 huseinzol05/Stock-Prediction-Models active 5.0 3/31/21 8:00
138 ARIMA-LTSM Hybrid https://github.com/imhgchoi/Corr_Prediction_ARIMA_LSTM_Hybrid Hybrid model to predict future price correlation coefficients of two assets. Deep Learning And Reinforcement Learning 2021-07-03 08:37:20 230.0 92.0 1.0 2018-08-05 02:13:21 2018-10-01 11:25:53 imhgchoi/ARIMA-LSTM-hybrid-corrcoef-predict inactive 3.0
139 Pair-Trading-Reinforcement-Learning https://github.com/wai-i/Pair-Trading-Reinforcement-Learning NEW Deep Learning And Reinforcement Learning 2021-06-25 10:28:25 144.0 60.0 1.0 2019-06-09 22:50:37 2020-01-03 15:36:22 wai-i/Pair-Trading-Reinforcement-Learning active 39:11.1
140 RL https://github.com/kh-kim/stock_market_reinforcement_learning OpenGym with Deep Q-learning and Policy Gradient. Deep Learning And Reinforcement Learning 2021-06-22 23:14:06 727.0 303.0 1.0 2016-10-04 14:42:19 2016-12-23 07:34:08 kh-kim/stock_market_reinforcement_learning inactive 2.0
141 pairstrade-fyp-2019 https://github.com/wywongbd/pairstrade-fyp-2019 NEW Deep Learning And Reinforcement Learning 2021-06-28 16:59:22 127.0 42.0 2.0 2018-09-07 07:51:06 2020-05-13 05:06:51 wywongbd/pairstrade-fyp-2019 active 39:11.1
142 FinRL-Library https://github.com/AI4Finance-LLC/FinRL-Library started by Columbia university engineering students and designed as an end to end deep reinforcement learning library for automated trading platform. Implementation of DQN DDQN DDPG etc using PyTorch and [gym](https://gym.openai.com/) use [pyfolio](https://github.com/quantopian/pyfolio) for showing backtesting stats. Big contributions on Proximal Policy Optimization (PPO) advantage actor critic (A2C) and Deep Deterministic Policy Gradient (DDPG) agents for trading Deep Learning And Reinforcement Learning 2021-07-03 19:56:14 2237.0 582.0 22.0 2020-07-26 13:18:16 2021-07-03 18:16:42 AI4Finance-LLC/FinRL active 5.0 3/31/21 8:00
143 DeepLearningInFinance https://github.com/sonaam1234/DeepLearningInFinance Based on a [talk](https://towardsdatascience.com/deep-learning-in-finance-9e088cb17c03) Sonam Srivastava gave and there are two studies: 1. single timeseries return prediction using ARIMA/VAR/SVR/Deep Regression/CNN/LSTM 2. indexed portfolio construction using autoencoders i.e. replicate a index using handful of stocks. Deep Learning And Reinforcement Learning 2021-06-03 02:49:19 266.0 147.0 1.0 2017-08-21 16:00:42 2017-08-21 17:23:48 sonaam1234/DeepLearningInFinance inactive 3.0 3/31/21 8:00
144 Trading-Gym https://github.com/thedimlebowski/Trading-Gym NEW Deep Learning And Reinforcement Learning 2021-06-30 15:39:34 514.0 146.0 3.0 2017-06-13 13:14:48 2017-07-10 08:09:30 thedimlebowski/Trading-Gym inactive 39:11.1
145 Deep Learning III https://github.com/Rachnog/Deep-Trading Algorithmic trading with deep learning experiments. Deep Learning And Reinforcement Learning 2021-06-30 12:02:28 1285.0 682.0 1.0 2016-06-18 18:23:06 2018-08-07 15:24:45 Rachnog/Deep-Trading inactive 5.0
trading-bot https://github.com/pskrunner14/trading-bot Implementation of deep reinforcement learning using Deep Q Network (DQN). Only supports single security at the moment. Idea is roughly based [here](https://keon.github.io/deep-q-learning/) and uses tensorflow/keras. Interesting helper python libraries used here are [tqdm](https://tqdm.github.io/) for console based progress bar and [altair](https://altair-viz.github.io/) for declarative visualization in python Deep Learning And Reinforcement Learning 2021-07-03 00:42:07 333.0 163.0 1.0 2018-08-13 10:44:08 2020-01-23 04:41:20 pskrunner14/trading-bot active 3.0 3/31/21 8:00
146 deep-RL-trading https://github.com/golsun/deep-RL-trading trading game comparing RNN vs CNN vs MLP based on [paper](https://arxiv.org/abs/1803.03916) Deep Learning And Reinforcement Learning 2021-06-26 22:55:45 251.0 112.0 1.0 2018-02-25 17:41:42 2020-12-01 22:06:39 golsun/deep-RL-trading active 3.0 3/31/21 8:00
147 crypto-rl https://github.com/sadighian/crypto-rl Retrieve limit order book level data from coinbase pro and bitfinex -> record in [arctic](https://github.com/man-group/arctic) timeseries database then implemented trend following strategies (market orders) and market making (limit orders). Uses reinforcement learning (DQN) [keras-rl](https://github.com/keras-rl/keras-rl) to create agents and uses [openai gym](https://gym.openai.com/) to implement POMDP (partially observable markov decision process) Deep Learning And Reinforcement Learning 2021-07-02 07:45:07 396.0 119.0 1.0 2018-06-21 01:06:01 2020-11-05 11:08:19 sadighian/crypto-rl active 3.0 3/31/21 8:00
148 Deep-Learning-Machine-Learning-Stock https://github.com/LastAncientOne/Deep-Learning-Machine-Learning-Stock curated list of notebooks for machine learning models. Start with very simple linear models to more advanced reinforcement learning type of models. Problem with this repo is that the library version numbers may be changing over time and there's no specific way to track and upgrade Deep Learning And Reinforcement Learning 2021-06-29 04:18:10 318.0 116.0 1.0 2018-09-29 23:38:06 2021-06-23 01:52:12 LastAncientOne/Deep-Learning-Machine-Learning-Stock active 3.0 3/31/21 8:00
150 QLearning_Trading https://github.com/ucaiado/QLearning_Trading NEW Deep Learning And Reinforcement Learning 2021-06-30 23:20:12 447.0 172.0 1.0 2016-08-10 06:02:23 2016-10-15 02:36:09 ucaiado/QLearning_Trading inactive 39:11.1
151 a3c_trading https://github.com/evgps/a3c_trading NEW Deep Learning And Reinforcement Learning 2021-06-30 02:13:36 323.0 104.0 1.0 2018-06-04 15:30:16 2020-05-23 14:47:54 evgps/a3c_trading active 39:11.1
152 TradingGym https://github.com/cove9988/TradingGym NEW Deep Learning And Reinforcement Learning 2021-06-25 08:29:32 114.0 38.0 3.0 2017-11-06 00:50:01 2017-11-15 23:55:32 cove9988/TradingGym inactive 39:11.1
153 pairstrade-fyp-2019 trading-bot https://github.com/wywongbd/pairstrade-fyp-2019 https://github.com/pskrunner14/trading-bot NEW Implementation of deep reinforcement learning using Deep Q Network (DQN). Only supports single security at the moment. Idea is roughly based [here](https://keon.github.io/deep-q-learning/) and uses tensorflow/keras. Interesting helper python libraries used here are [tqdm](https://tqdm.github.io/) for console based progress bar and [altair](https://altair-viz.github.io/) for declarative visualization in python Deep Learning And Reinforcement Learning 2021-06-28 16:59:22 2021-07-03 00:42:07 127.0 333.0 42.0 163.0 2.0 1.0 2018-09-07 07:51:06 2018-08-13 10:44:08 2020-05-13 05:06:51 2020-01-23 04:41:20 wywongbd/pairstrade-fyp-2019 pskrunner14/trading-bot active 3.0 39:11.1 3/31/21 8:00
154 AutomatedStockTrading-DeepQ-Learning Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020 https://github.com/sachink2010/AutomatedStockTrading-DeepQ-Learning https://github.com/AI4Finance-LLC/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020 cornerstone project repo for Udacity nanodegree program [Become a machine learning engineer](https://www.udacity.com/course/machine-learning-engineer-nanodegree--nd009t) and focus on trading using deep q learning. Good explanation on design choices in the report Part of FinRL and provided code for paper [deep reinformacement learning for automated stock trading](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3690996) focuses on ensemble. Deep Learning And Reinforcement Learning 2021-06-25 08:06:20 2021-07-03 19:28:45 134.0 691.0 54.0 307.0 2.0 6.0 2019-02-23 12:01:21 2020-07-26 13:12:53 2020-02-25 18:16:34 2021-01-21 18:11:59 sachink2010/AutomatedStockTrading-DeepQ-Learning AI4Finance-LLC/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020 active 3.0 4.0 3/31/21 8:00
155 RL Trading https://colab.research.google.com/drive/1FzLCI0AO3c7A4bp9Fi01UwXeoc7BN8sW A collection of 25+ Reinforcement Learning Trading Strategies -Google Colab. Deep Learning And Reinforcement Learning 4.0
156 awesome-deep-trading https://github.com/cbailes/awesome-deep-trading curated list of papers/repos on topics like CNN/LSTM/GAN/Reinforcement Learning etc. Categorized as deep learning for now but there are other topics here. Manually maintained by cbailes Deep Learning And Reinforcement Learning 2021-07-03 00:38:56 646.0 159.0 1.0 2018-11-26 03:23:04 2021-01-01 09:41:21 cbailes/awesome-deep-trading active 4.0 3/31/21 8:00
157 AI Trading https://github.com/borisbanushev/stockpredictionai/blob/master/readme2.md AI to predict stock market movements. Deep Learning And Reinforcement Learning 2021-07-03 19:40:58 2999.0 1428.0 1.0 2019-01-09 08:02:47 2019-02-11 16:32:47 borisbanushev/stockpredictionai inactive 5.0
159 Pair Trading RL https://github.com/shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading Using deep actor-critic model to learn best strategies in pair trading. Deep Learning And Reinforcement Learning 2021-06-23 21:18:24 249.0 117.0 1.0 2017-05-18 16:47:11 2017-05-18 16:56:38 shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading inactive 3.0
160 RLQuant https://github.com/yuriak/RLQuant NEW Deep Learning And Reinforcement Learning 2021-06-25 03:38:28 279.0 94.0 1.0 2018-04-05 05:42:44 2018-08-13 04:18:29 yuriak/RLQuant inactive 39:11.1
161 BitcoinForecast https://github.com/PiSimo/BitcoinForecast RNN model to predict short term price movement (in this case BTC for the next 9 minutes) [deepchart](https://pisimo.github.io/DeepChart/) is used to visualize the model Deep Learning And Reinforcement Learning 2021-06-26 06:24:53 303.0 133.0 3.0 2017-03-10 10:52:02 2018-06-11 08:07:02 PiSimo/BitcoinForecast inactive 3.0 3/31/21 8:00
Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020 https://github.com/AI4Finance-LLC/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020 Part of FinRL and provided code for paper [deep reinformacement learning for automated stock trading](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3690996) focuses on ensemble. Deep Learning And Reinforcement Learning 2021-07-03 19:28:45 691.0 307.0 6.0 2020-07-26 13:12:53 2021-01-21 18:11:59 AI4Finance-LLC/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020 active 4.0 3/31/21 8:00
rl_trading https://github.com/ucaiado/rl_trading NEW Deep Learning And Reinforcement Learning 2021-05-25 06:17:53 212.0 92.0 1.0 2017-05-29 22:19:00 2017-08-29 14:54:50 ucaiado/rl_trading inactive 39:11.1
162 DQN-DDPG_Stock_Trading https://github.com/AI4Finance-LLC/DQN-DDPG_Stock_Trading merged into FinRL library and uses [gym](https://gym.openai.com/) and implementation of DQN Deep Learning And Reinforcement Learning 2021-07-03 19:33:44 149.0 56.0 4.0 2018-09-19 03:17:06 2020-11-26 16:58:00 AI4Finance-LLC/DQN-DDPG_Stock_Trading active 3.0 3/31/21 8:00
163 FinRL-Library rl_trading https://github.com/AI4Finance-LLC/FinRL-Library https://github.com/ucaiado/rl_trading started by Columbia university engineering students and designed as an end to end deep reinforcement learning library for automated trading platform. Implementation of DQN DDQN DDPG etc using PyTorch and [gym](https://gym.openai.com/) use [pyfolio](https://github.com/quantopian/pyfolio) for showing backtesting stats. Big contributions on Proximal Policy Optimization (PPO) advantage actor critic (A2C) and Deep Deterministic Policy Gradient (DDPG) agents for trading NEW Deep Learning And Reinforcement Learning 2021-07-03 19:56:14 2021-05-25 06:17:53 2237.0 212.0 582.0 92.0 22.0 1.0 2020-07-26 13:18:16 2017-05-29 22:19:00 2021-07-03 18:16:42 2017-08-29 14:54:50 AI4Finance-LLC/FinRL ucaiado/rl_trading active inactive 5.0 3/31/21 8:00 39:11.1
164 DeepLearningInFinance AutomatedStockTrading-DeepQ-Learning https://github.com/sonaam1234/DeepLearningInFinance https://github.com/sachink2010/AutomatedStockTrading-DeepQ-Learning Based on a [talk](https://towardsdatascience.com/deep-learning-in-finance-9e088cb17c03) Sonam Srivastava gave and there are two studies: 1. single timeseries return prediction using ARIMA/VAR/SVR/Deep Regression/CNN/LSTM 2. indexed portfolio construction using autoencoders i.e. replicate a index using handful of stocks. cornerstone project repo for Udacity nanodegree program [Become a machine learning engineer](https://www.udacity.com/course/machine-learning-engineer-nanodegree--nd009t) and focus on trading using deep q learning. Good explanation on design choices in the report Deep Learning And Reinforcement Learning 2021-06-03 02:49:19 2021-06-25 08:06:20 266.0 134.0 147.0 54.0 1.0 2.0 2017-08-21 16:00:42 2019-02-23 12:01:21 2017-08-21 17:23:48 2020-02-25 18:16:34 sonaam1234/DeepLearningInFinance sachink2010/AutomatedStockTrading-DeepQ-Learning inactive active 3.0 3/31/21 8:00
165 RL tda-api https://github.com/kh-kim/stock_market_reinforcement_learning https://github.com/alexgolec/tda-api OpenGym with Deep Q-learning and Policy Gradient. NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-06-22 23:14:06 2021-06-30 17:49:06 727.0 738.0 303.0 191.0 1.0 17.0 2016-10-04 14:42:19 2020-04-03 21:19:12 2016-12-23 07:34:08 2021-06-28 16:25:32 kh-kim/stock_market_reinforcement_learning alexgolec/tda-api inactive active 2.0 23:51.4
166 ARIMA-LTSM Hybrid huobi_futures_Python https://github.com/imhgchoi/Corr_Prediction_ARIMA_LSTM_Hybrid https://github.com/hbdmapi/huobi_futures_Python Hybrid model to predict future price correlation coefficients of two assets. NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-07-03 08:37:20 2021-06-27 12:53:07 230.0 195.0 92.0 90.0 1.0 2.0 2018-08-05 02:13:21 2020-01-14 07:21:39 2018-10-01 11:25:53 2021-06-25 01:29:01 imhgchoi/ARIMA-LSTM-hybrid-corrcoef-predict hbdmapi/huobi_futures_Python inactive active 3.0 23:51.4
167 LTSM Recurrent stocktrends https://github.com/VivekPa/AIAlpha https://github.com/ChillarAnand/stocktrends OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network. NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-06-30 07:55:30 2021-07-05 05:26:50 1252.0 105.0 387.0 37.0 2.0 1.0 2018-10-07 03:58:26 2018-02-06 12:56:48 2019-08-03 09:00:44 2021-06-09 03:20:10 VivekPa/AIAlpha ChillarAnand/stocktrends active 4.0 2021-07-07 01:48:02.687855
168 RL IV AlgorithmicTrading https://github.com/jjakimoto/DQN https://github.com/JerBouma/AlgorithmicTrading Reinforcement Learning for finance. NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-05-31 10:06:44 2021-07-03 18:39:09 143.0 202.0 55.0 60.0 1.0 2016-10-21 02:47:17 2019-03-14 09:33:37 2017-04-07 08:11:57 2021-02-03 22:29:07 jjakimoto/DQN JerBouma/AlgorithmicTrading inactive active 23:51.4
169 RL II Reinforcement Learning https://github.com/deependersingla/deep_trader https://github.com/FinTechies/HedgingRL reinforcement learning on stock market and agent tries to learn trading. Hedging portfolios with reinforcement learning. Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-07-01 16:53:08 2021-01-20 08:12:13 1355.0 16.0 489.0 10.0 3.0 1.0 2016-06-11 07:27:10 2017-04-21 10:58:56 2018-01-22 14:35:50 2017-08-02 21:41:06 deependersingla/deep_trader FinTechies/HedgingRL inactive 3.0
170 RL V optopsy https://github.com/gstenger98/rl-finance https://github.com/michaelchu/optopsy Building an Agent to Trade with Reinforcement Learning. NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-04-08 18:57:53 2021-07-03 17:55:12 33.0 431.0 9.0 90.0 5.0 3.0 2019-01-16 00:43:36 2017-09-17 01:49:54 2020-03-19 20:28:08 2021-06-04 16:13:34 gstenger98/rl-finance michaelchu/optopsy active 2.0 23:51.4
171 FinRL quant-trading https://github.com/AI4Finance-LLC/FinRL https://github.com/je-suis-tm/quant-trading NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-07-03 19:56:14 2021-07-03 17:46:46 2237.0 1999.0 582.0 526.0 22.0 2.0 2020-07-26 13:18:16 2018-04-03 14:08:14 2021-07-03 18:16:42 2021-04-13 18:37:15 AI4Finance-LLC/FinRL je-suis-tm/quant-trading active 13:03.7 23:51.4
172 Deep Learning Options-Trading-Strategies-in-Python https://github.com/keon/deepstock https://github.com/PyPatel/Options-Trading-Strategies-in-Python Technical experimentations to beat the stock market using deep learning. NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-06-28 07:18:52 2021-07-02 14:55:44 430.0 348.0 154.0 139.0 2.0 1.0 2016-12-12 02:15:12 2017-08-30 06:00:15 2017-03-04 08:37:29 2019-08-21 15:47:57 keon/deepstock PyPatel/Options-Trading-Strategies-in-Python inactive active 4.0 23:51.4
173 Deep Learning IV Option Strategies https://github.com/achillesrasquinha/bulbea https://github.com/rstreppa/valuation-OptionStrategies Bulbea: Deep Learning based Python Library. Valuation of Vanilla and Exotic option strategies (Butterfly, Risk Reversal etc.) with widget animations. Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-07-03 12:31:56 2021-06-15 21:43:59 1506.0 3.0 423.0 3.0 1.0 2017-03-09 06:11:06 2018-05-22 18:27:26 2017-03-19 07:42:49 2018-05-22 18:30:24 achillesrasquinha/bulbea rstreppa/valuation-OptionStrategies inactive 5.0
174 Machine-Learning-and-Reinforcement-Learning-in-Finance Options_Data_Science https://github.com/joelowj/Machine-Learning-and-Reinforcement-Learning-in-Finance https://github.com/yugedata/Options_Data_Science NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-07-02 03:29:00 2021-07-02 18:32:59 183.0 249.0 96.0 43.0 1.0 2018-06-26 04:30:08 2020-12-09 04:51:20 2018-09-23 16:50:33 2021-07-02 18:32:55 joelowj/Machine-Learning-and-Reinforcement-Learning-in-Finance yugedata/Options_Data_Science inactive active 39:11.1 23:51.4
175 Deep-Reinforcement-Stock-Trading tai https://github.com/Albert-Z-Guo/Deep-Reinforcement-Stock-Trading https://github.com/fremantle-industries/tai inspired by Q-trader a deep reinforcement learning repo for trading. Only 3 actions allowed (buy/hold/sell) and no transaction cost is implemented yet. Uses [empyrical](https://github.com/quantopian/empyrical) for portfolio stats NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-07-02 03:14:09 2021-07-02 22:49:37 162.0 300.0 46.0 47.0 2.0 6.0 2019-05-19 22:20:05 2017-07-28 03:07:18 2020-09-27 19:22:28 2021-07-02 22:48:01 Albert-Z-Guo/Deep-Reinforcement-Stock-Trading fremantle-industries/tai active 3.0 3/31/21 8:00 23:51.4
176 Personae tf-quant-finance https://github.com/Ceruleanacg/Personae https://github.com/google/tf-quant-finance implementation of deep reinforcement learning and supervised learnings covering areas: deep deterministic policy gradient (DDPG) and DDQN etc. Data are being pulled from [rqalpha](https://github.com/ricequant/rqalpha) which is a python backtest engine and have a nice docker image to run training/testing NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-06-22 10:41:57 2021-07-03 05:34:08 1153.0 2691.0 334.0 358.0 2.0 30.0 2018-03-10 11:22:00 2019-07-24 16:09:50 2018-09-02 17:21:38 2021-07-02 18:34:45 Ceruleanacg/Personae google/tf-quant-finance inactive active 5.0 3/31/21 8:00 23:51.4
177 Neural Network algotrader https://github.com/VivekPa/IntroNeuralNetworks https://github.com/torreyleonard/algotrader Neural networks to predict stock prices. NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-07-03 06:23:41 2021-06-30 02:16:13 516.0 496.0 178.0 106.0 2.0 12.0 2018-09-10 06:34:53 2018-04-10 02:31:26 2018-11-21 07:39:31 2020-08-27 08:16:44 VivekPa/IntroNeuralNetworks torreyleonard/algotrader inactive active 4.0 23:51.4
178 Pair-Trading-Reinforcement-Learning Options Risk Measures https://github.com/wai-i/Pair-Trading-Reinforcement-Learning https://github.com/wanglouis49/risk_estimation NEW Efficient financial risk estimation via computer experiment design (regression + variance-reduced sampling). Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-06-25 10:28:25 2020-10-06 20:37:02 144.0 1.0 60.0 2.0 1.0 2019-06-09 22:50:37 2016-04-29 03:51:25 2020-01-03 15:36:22 2018-01-16 01:24:07 wai-i/Pair-Trading-Reinforcement-Learning wanglouis49/risk_estimation active inactive 39:11.1
179 gym-trading Delta Hedging https://github.com/hackthemarket/gym-trading https://github.com/RobinsonGarcia/delta-hedging NEW Advanced derivatives. Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-07-03 07:06:51 2021-02-27 08:48:27 596.0 3.0 198.0 2.0 2.0 1.0 2016-12-09 20:46:19 2018-03-02 23:53:53 2017-12-24 15:34:37 2018-07-17 23:32:23 hackthemarket/gym-trading RobinsonGarcia/delta-hedging inactive 39:11.1
180 Deep Learning II paperbroker https://github.com/LiamConnell/deep-algotrading/tree/master/notebooks https://github.com/philipodonnell/paperbroker Tensorflow Regression. NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-06-24 15:46:03 2021-07-01 14:26:27 179.0 183.0 68.0 52.0 1.0 3.0 2016-07-12 12:56:10 2017-07-06 02:04:51 2018-02-16 02:43:36 2018-04-08 18:37:57 LiamConnell/deep-algotrading philipodonnell/paperbroker inactive 3.0 23:51.4
181 trading-rl trading-server https://github.com/Kostis-S-Z/trading-rl https://github.com/s-brez/trading-server Deep reinforcement learning for financial trading using [gym](https://gym.openai.com/) and [keras-rl](https://github.com/keras-rl/keras-rl) on FX dataset (EURUSD) not actively maintained NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-06-25 07:52:45 2021-07-02 18:35:27 182.0 269.0 38.0 61.0 2.0 2019-04-22 10:03:21 2019-03-05 03:06:19 2020-09-28 09:07:18 2021-03-08 02:37:08 Kostis-S-Z/trading-rl s-brez/trading-server active 3.0 3/31/21 8:00 23:51.4
182 RL III FinanceDatabase https://github.com/samre12/deep-trading-agent https://github.com/JerBouma/FinanceDatabase Github -Deep Reinforcement Learning based Trading Agent for Bitcoin. NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-06-27 06:41:46 2021-07-03 07:00:43 598.0 702.0 205.0 81.0 1.0 2017-09-21 17:05:19 2021-01-28 18:36:09 2018-04-13 16:33:21 2021-06-29 14:50:39 samre12/deep-trading-agent JerBouma/FinanceDatabase inactive active 3.0 23:51.4
183 RLTrader akshare https://github.com/notadamking/RLTrader https://github.com/jindaxiang/akshare predecessor to [tensortrade](https://github.com/tensortrade-org/tensortrade) uses open api [gym](https://gym.openai.com/) and neat way to render matplotlib plots in real time. Also explains LSTM/data stationarity/Bayesian optimization using [Optuna](https://github.com/optuna/optuna) etc. NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-06-30 13:54:10 2021-07-03 15:50:23 1368.0 3693.0 475.0 765.0 15.0 13.0 2019-04-27 18:35:15 2019-10-01 07:34:12 2019-10-17 16:25:49 2021-07-03 15:50:18 notadamking/RLTrader jindaxiang/akshare active 5.0 3/31/21 8:00 23:51.4
184 maro trade-frame https://github.com/microsoft/maro https://github.com/rburkholder/trade-frame NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-07-03 14:21:08 2021-07-02 12:43:31 441.0 203.0 79.0 19.0 1.0 2019-12-27 06:48:27 2016-07-24 15:25:30 2021-07-02 07:56:16 2021-05-24 16:56:10 microsoft/maro rburkholder/trade-frame active 39:11.1 23:51.4
185 tensortrade wallstreet https://github.com/tensortrade-org/tensortrade https://github.com/mcdallas/wallstreet NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-07-03 12:43:58 2021-07-02 08:39:46 3295.0 601.0 773.0 132.0 42.0 2.0 2019-07-30 21:28:32 2016-01-20 22:03:39 2021-06-19 21:14:43 2019-08-09 23:14:52 tensortrade-org/tensortrade mcdallas/wallstreet active 39:11.1 23:51.4
186 TradingGym Derman https://github.com/Yvictor/TradingGym https://github.com/rstreppa/valuation-convertibles-Goldman1994/blob/master/ConvertibleBond_Goldman1994_Derman.ipynb NEW Binomial tree for American call. Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-07-03 06:08:49 2020-10-06 20:37:15 886.0 1.0 244.0 3.0 2.0 1.0 2017-05-01 13:53:32 2018-05-18 18:08:16 2018-02-14 13:58:18 2018-09-21 19:59:01 Yvictor/TradingGym rstreppa/valuation-convertibles-Goldman1994 inactive 39:11.1
Advanced-Deep-Trading https://github.com/Rachnog/Advanced-Deep-Trading notebooks containing experiments based on Lopez de Prado book "Advances in financial machine learning". Mostly not deep learning related but rather sklearn regression models. Interesting libraries include [mlfinlab](https://github.com/hudson-and-thames/mlfinlab) for calculating return stats and [shap](https://github.com/slundberg/shap) for explaining models. Examlpe of shap can be which features are pushing the value up and and which features are pushing the value down. Also contain functions for calculating geometric brownian motion and jump diffusion functions. Deep Learning And Reinforcement Learning 2021-06-17 06:48:21 331.0 162.0 2.0 2019-02-16 21:18:00 2020-11-29 20:12:59 Rachnog/Advanced-Deep-Trading active 3.0 3/31/21 8:00
Stock-Prediction-Models https://github.com/huseinzol05/Stock-Prediction-Models very good curated list of notebooks showing deep learning + reinforcement learning models. Also contain topics on outlier detections/overbought oversold study/monte carlo simulartions/sentiment analysis from text (text storage/parsing is not detailed but it mentioned using [BERT](https://github.com/google-research/bert)) Deep Learning And Reinforcement Learning 2021-07-03 19:43:55 4094.0 1682.0 2.0 2017-12-18 10:49:59 2021-01-05 10:31:50 huseinzol05/Stock-Prediction-Models active 5.0 3/31/21 8:00
187 FinancePy https://github.com/domokane/FinancePy NEW Derivatives and Hedging 2021-07-02 12:11:36 519.0 84.0 7.0 2019-10-27 15:04:56 2021-06-18 18:13:16 domokane/FinancePy active 23:51.4
188 MarketAnalysis https://github.com/Poseyy/MarketAnalysis NEW Derivatives and Hedging 2021-06-27 07:32:51 181.0 81.0 1.0 2019-03-28 19:46:34 2020-08-06 05:15:46 Poseyy/MarketAnalysis active 23:51.4
189 Derivative Markets https://github.com/broughtj/Fin6470/tree/master/Notebooks The economics of futures, futures, options, and swaps. Derivatives and Hedging 2021-04-15 16:03:10 8.0 8.0 1.0 2016-02-09 05:30:27 2021-04-15 16:02:59 broughtj/Fin6470 active
Strata https://github.com/OpenGamma/Strata NEW Derivatives and Hedging 2021-06-29 20:55:31 624.0 221.0 43.0 2014-06-16 11:45:55 2021-06-29 13:53:29 OpenGamma/Strata active 23:51.4
190 Derivatives Python https://github.com/yhilpisch/dawp/tree/master/python36 Derivative analytics with Python. Derivatives and Hedging 2021-07-01 09:12:11 407.0 305.0 1.0 2015-07-09 12:27:29 2021-02-22 13:29:18 yhilpisch/dawp active
191 gs-quant https://github.com/goldmansachs/gs-quant NEW Derivatives and Hedging 2021-07-03 22:40:23 662.0 195.0 13.0 2018-12-14 21:10:40 2021-07-01 12:01:31 goldmansachs/gs-quant active 23:51.4
192 openAlgo https://github.com/mtompkins/openAlgo NEW Derivatives and Hedging 2021-06-27 23:37:44 165.0 83.0 2.0 2013-05-28 14:46:53 2017-03-24 20:00:24 mtompkins/openAlgo inactive 23:51.4
193 robin_stocks https://github.com/jmfernandes/robin_stocks NEW Derivatives and Hedging 2021-07-03 13:05:50 1105.0 295.0 36.0 2018-02-23 00:49:37 2021-05-12 02:21:21 jmfernandes/robin_stocks active 23:51.4
194 Volatility and Variance Derivatives Strata https://github.com/yhilpisch/lvvd/tree/master/lvvd https://github.com/OpenGamma/Strata Volatility derivatives analytics. NEW Derivatives and Hedging 2021-06-23 16:15:47 2021-06-29 20:55:31 85.0 624.0 79.0 221.0 1.0 43.0 2016-10-21 04:12:50 2014-06-16 11:45:55 2021-05-15 10:12:38 2021-06-29 13:53:29 yhilpisch/lvvd OpenGamma/Strata active 23:51.4
195 StockSharp https://github.com/StockSharp/StockSharp NEW Derivatives and Hedging 2021-07-03 23:04:18 4181.0 1289.0 17.0 2014-12-08 07:53:44 2021-06-30 23:42:40 StockSharp/StockSharp active 23:51.4
196 fast_arrow https://github.com/westonplatter/fast_arrow NEW Derivatives and Hedging 2021-06-01 15:11:55 128.0 41.0 5.0 2018-07-19 23:15:25 2020-04-18 18:05:37 westonplatter/fast_arrow active 23:51.4
197 Options https://github.com/QuantConnect/Tutorials/tree/master/06%20Introduction%20to%20Options%5B%5D Introduction to options. Derivatives and Hedging 2021-06-21 12:23:22 361.0 169.0 35.0 2017-07-28 15:48:29 2021-03-17 17:17:08 QuantConnect/Tutorials active
199 QLNet https://github.com/amaggiulli/QLNet NEW Derivatives and Hedging 2021-06-25 16:37:00 266.0 136.0 13.0 2013-08-22 14:51:43 2021-03-02 18:39:41 amaggiulli/QLNet active 23:51.4
200 Computational Derivatives https://github.com/chenbowen184/Computational_Finance Projects focusing on investigating simulations and computational techniques applied in finance. Derivatives and Hedging 2021-05-18 09:14:31 19.0 12.0 1.0 2018-01-29 05:01:52 2018-08-02 05:56:49 chen-bowen/Computational_Finance inactive
201 Black Scholes https://github.com/irajwani/numerical_methods_python/blob/master/black_scholes.ipynb Options pricing. Derivatives and Hedging 2020-10-06 20:36:29 1.0 2.0 0.0 2017-12-09 18:50:20 2018-07-09 09:48:36 irajwani/numerical_methods_python inactive
202 Volatility and Variance Derivatives https://github.com/yhilpisch/lvvd/tree/master/lvvd Volatility derivatives analytics. Derivatives and Hedging 2021-06-23 16:15:47 85.0 79.0 1.0 2016-10-21 04:12:50 2021-05-15 10:12:38 yhilpisch/lvvd active
203 Options https://github.com/PHBS/2018.M1.ASP/tree/master/py Black Scholes and Copula. Derivatives and Hedging PHBS/2018.M1.ASP
204 wallstreet talkingdata-adtracking-fraud-detection https://github.com/mcdallas/wallstreet https://github.com/flowlight0/talkingdata-adtracking-fraud-detection NEW Derivatives and Hedging Extended Research 2021-07-02 08:39:46 2021-06-08 07:39:19 601.0 204.0 132.0 54.0 2.0 1.0 2016-01-20 22:03:39 2018-03-21 11:27:31 2019-08-09 23:14:52 2018-06-10 15:30:50 mcdallas/wallstreet flowlight0/talkingdata-adtracking-fraud-detection active inactive 23:51.4 2021-04-21 01:25:51.827641
205 Derman DGFraud https://github.com/rstreppa/valuation-convertibles-Goldman1994/blob/master/ConvertibleBond_Goldman1994_Derman.ipynb https://github.com/safe-graph/DGFraud Binomial tree for American call. NEW Derivatives and Hedging Extended Research 2020-10-06 20:37:15 2021-07-03 11:17:11 1.0 329.0 3.0 90.0 1.0 4.0 2018-05-18 18:08:16 2019-11-22 14:02:36 2018-09-21 19:59:01 2021-05-27 21:12:27 rstreppa/valuation-convertibles-Goldman1994 safe-graph/DGFraud inactive active 2021-04-21 01:25:51.827641
206 akshare fraud-detection-using-machine-learning https://github.com/jindaxiang/akshare https://github.com/awslabs/fraud-detection-using-machine-learning NEW Derivatives and Hedging Extended Research 2021-07-03 15:50:23 2021-06-09 19:03:27 3693.0 98.0 765.0 63.0 13.0 6.0 2019-10-01 07:34:12 2019-05-17 17:12:46 2021-07-03 15:50:18 2021-06-09 19:03:19 jindaxiang/akshare awslabs/fraud-detection-using-machine-learning active 23:51.4 2021-04-21 01:25:51.827641
207 trading-server Financial Economics https://github.com/s-brez/trading-server https://github.com/rsvp/fecon235/tree/master/nb NEW Financial Economics Models. Derivatives and Hedging Extended Research 2021-07-02 18:35:27 2021-06-30 19:22:45 269.0 726.0 61.0 281.0 2.0 2019-03-05 03:06:19 2014-11-09 04:49:01 2021-03-08 02:37:08 2018-12-03 16:30:28 s-brez/trading-server rsvp/fecon235 active inactive 23:51.4
208 quant-trading Avellaneda-Stoikov https://github.com/je-suis-tm/quant-trading https://github.com/mdibo/Avellaneda-Stoikov NEW Derivatives and Hedging Extended Research 2021-07-03 17:46:46 2021-06-07 04:17:42 1999.0 52.0 526.0 43.0 2.0 1.0 2018-04-03 14:08:14 2017-10-16 03:36:34 2021-04-13 18:37:15 2020-05-09 23:35:08 je-suis-tm/quant-trading mdibo/Avellaneda-Stoikov active 23:51.4 2021-06-02 04:27:12.212333
209 Reinforcement Learning Computational Finance https://github.com/FinTechies/HedgingRL https://github.com/lnsongxf/Applied_Computational_Economics_and_Finance Hedging portfolios with reinforcement learning. Applied Computational Economics and Finance. Derivatives and Hedging Extended Research 2021-01-20 08:12:13 2021-05-31 04:01:48 16.0 13.0 10.0 14.0 1.0 2017-04-21 10:58:56 2017-08-27 03:46:33 2017-08-02 21:41:06 2017-08-26 04:26:04 FinTechies/HedgingRL lnsongxf/Applied_Computational_Economics_and_Finance inactive
210 AlgorithmicTrading roq-samples https://github.com/JerBouma/AlgorithmicTrading https://github.com/roq-trading/roq-samples NEW Derivatives and Hedging Extended Research 2021-07-03 18:39:09 2021-06-30 11:59:50 202.0 66.0 60.0 24.0 1.0 3.0 2019-03-14 09:33:37 2018-03-27 04:19:09 2021-02-03 22:29:07 2021-06-20 01:38:28 JerBouma/AlgorithmicTrading roq-trading/roq-samples active 23:51.4 2021-05-05 01:50:21.293278
211 Options-Trading-Strategies-in-Python UGFraud https://github.com/PyPatel/Options-Trading-Strategies-in-Python https://github.com/safe-graph/UGFraud NEW Derivatives and Hedging Extended Research 2021-07-02 14:55:44 2021-06-28 08:32:14 348.0 61.0 139.0 16.0 1.0 2.0 2017-08-30 06:00:15 2020-06-01 22:34:14 2019-08-21 15:47:57 2021-04-11 19:01:44 PyPatel/Options-Trading-Strategies-in-Python safe-graph/UGFraud active 23:51.4 2021-05-26 02:41:08.838631
212 huobi_futures_Python graph-fraud-detection-papers https://github.com/hbdmapi/huobi_futures_Python https://github.com/safe-graph/graph-fraud-detection-papers NEW Derivatives and Hedging Extended Research 2021-06-27 12:53:07 2021-07-03 12:44:47 195.0 407.0 90.0 74.0 2.0 2020-01-14 07:21:39 2019-11-21 05:39:23 2021-06-25 01:29:01 2021-06-28 22:03:00 hbdmapi/huobi_futures_Python safe-graph/graph-fraud-detection-papers active 23:51.4 2021-04-21 01:25:51.827641
213 tda-api StockPredictionRNN https://github.com/alexgolec/tda-api https://github.com/dzitkowskik/StockPredictionRNN NEW Derivatives and Hedging Extended Research 2021-06-30 17:49:06 2021-06-27 05:43:20 738.0 508.0 191.0 216.0 17.0 2.0 2020-04-03 21:19:12 2015-11-26 19:00:35 2021-06-28 16:25:32 2016-05-21 15:51:22 alexgolec/tda-api dzitkowskik/StockPredictionRNN active inactive 23:51.4 2021-04-21 01:25:51.827641
214 optopsy fingerprintjs https://github.com/michaelchu/optopsy https://github.com/fingerprintjs/fingerprintjs NEW Derivatives and Hedging Extended Research 2021-07-03 17:55:12 2021-07-03 20:06:48 431.0 14010.0 90.0 1663.0 3.0 68.0 2017-09-17 01:49:54 2015-02-11 08:49:54 2021-06-04 16:13:34 2021-07-01 02:06:11 michaelchu/optopsy fingerprintjs/fingerprintjs active 23:51.4 2021-04-21 01:25:51.827641
215 Option Strategies fx_systrade https://github.com/rstreppa/valuation-OptionStrategies https://github.com/ryogrid/fx_systrade Valuation of Vanilla and Exotic option strategies (Butterfly, Risk Reversal etc.) with widget animations. NEW Derivatives and Hedging Extended Research 2021-06-15 21:43:59 2021-05-09 01:04:16 3.0 81.0 3.0 29.0 1.0 2.0 2018-05-22 18:27:26 2015-07-24 11:46:28 2018-05-22 18:30:24 2020-10-23 10:17:01 rstreppa/valuation-OptionStrategies ryogrid/fx_systrade inactive active 2021-04-21 01:25:51.827641
216 FinanceDatabase High-Frequency-Trading-Simulation-System https://github.com/JerBouma/FinanceDatabase https://github.com/chenhaotian/High-Frequency-Trading-Simulation-System NEW Derivatives and Hedging Extended Research 2021-07-03 07:00:43 2021-05-21 16:30:46 702.0 51.0 81.0 25.0 1.0 2021-01-28 18:36:09 2016-06-14 13:50:39 2021-06-29 14:50:39 2018-04-16 08:48:10 JerBouma/FinanceDatabase chenhaotian/High-Frequency-Trading-Simulation-System active inactive 23:51.4 2021-04-21 01:25:51.827641
217 tai Applied Corporate Finance https://github.com/fremantle-industries/tai https://github.com/chenbowen184/Data_Science_in_Applied_Corporate_Finance NEW Studies the empirical behaviours in stock market. Derivatives and Hedging Extended Research 2021-07-02 22:49:37 2021-07-02 01:10:03 300.0 10.0 47.0 10.0 6.0 1.0 2017-07-28 03:07:18 2018-01-29 05:14:52 2021-07-02 22:48:01 2018-07-19 06:25:36 fremantle-industries/tai chen-bowen/Data_Science_in_Applied_Corporate_Finance active inactive 23:51.4
218 tf-quant-finance Fraud-detection-using-deep-learning https://github.com/google/tf-quant-finance https://github.com/aaxwaz/Fraud-detection-using-deep-learning NEW Derivatives and Hedging Extended Research 2021-07-03 05:34:08 2021-06-20 02:23:38 2691.0 105.0 358.0 56.0 30.0 1.0 2019-07-24 16:09:50 2017-06-18 12:35:24 2021-07-02 18:34:45 2017-12-06 13:51:54 google/tf-quant-finance aaxwaz/Fraud-detection-using-deep-learning active inactive 23:51.4 2021-04-21 01:25:51.827641
219 trade-frame Fraud_Detection_Techniques https://github.com/rburkholder/trade-frame https://github.com/wmlba/Fraud_Detection_Techniques NEW Derivatives and Hedging Extended Research 2021-07-02 12:43:31 2021-07-02 02:41:32 203.0 63.0 79.0 35.0 1.0 2016-07-24 15:25:30 2019-02-14 02:27:13 2021-05-24 16:56:10 2020-06-14 23:36:47 rburkholder/trade-frame wmlba/Fraud_Detection_Techniques active 23:51.4 2021-04-21 01:25:51.827641
220 algotrader FX-Trading-with-Python-and-Oanda https://github.com/torreyleonard/algotrader https://github.com/anthonyng2/FX-Trading-with-Python-and-Oanda NEW Derivatives and Hedging Extended Research 2021-06-30 02:16:13 2021-02-20 20:49:53 496.0 57.0 106.0 42.0 12.0 1.0 2018-04-10 02:31:26 2017-02-23 07:48:12 2020-08-27 08:16:44 2017-08-14 03:21:30 torreyleonard/algotrader anthonyng2/FX-Trading-with-Python-and-Oanda active inactive 23:51.4 2021-04-21 01:25:51.827641
221 Options_Data_Science FX-1-Minute-Data https://github.com/yugedata/Options_Data_Science https://github.com/philipperemy/FX-1-Minute-Data NEW Derivatives and Hedging Extended Research 2021-07-02 18:32:59 2021-06-15 09:06:49 249.0 288.0 43.0 113.0 1.0 4.0 2020-12-09 04:51:20 2017-05-22 03:24:35 2021-07-02 18:32:55 2021-06-15 09:06:46 yugedata/Options_Data_Science philipperemy/FX-1-Minute-Data active 23:51.4 2021-04-21 01:25:51.827641
222 Options Risk Measures Q-Fin https://github.com/wanglouis49/risk_estimation https://github.com/RomanMichaelPaolucci/Q-Fin Efficient financial risk estimation via computer experiment design (regression + variance-reduced sampling). NEW Derivatives and Hedging Extended Research 2020-10-06 20:37:02 2021-07-02 16:52:05 1.0 53.0 2.0 8.0 1.0 2016-04-29 03:51:25 2021-04-21 13:29:51 2018-01-16 01:24:07 2021-06-07 16:23:33 wanglouis49/risk_estimation RomanMichaelPaolucci/Q-Fin inactive active 2021-06-02 04:27:12.212333
223 Delta Hedging wattnet-fx-trading https://github.com/RobinsonGarcia/delta-hedging https://github.com/Zymrael/wattnet-fx-trading Advanced derivatives. NEW Derivatives and Hedging Extended Research 2021-02-27 08:48:27 2021-06-23 09:21:35 3.0 62.0 2.0 12.0 1.0 2018-03-02 23:53:53 2019-09-13 08:44:27 2018-07-17 23:32:23 2020-08-19 05:49:12 RobinsonGarcia/delta-hedging Zymrael/wattnet-fx-trading inactive active 2021-04-21 01:25:51.827641
224 paperbroker neural-finance https://github.com/philipodonnell/paperbroker https://github.com/Metnew/neural-finance NEW Derivatives and Hedging Extended Research 2021-07-01 14:26:27 2021-04-13 10:50:40 183.0 64.0 52.0 28.0 3.0 1.0 2017-07-06 02:04:51 2016-12-30 17:14:13 2018-04-08 18:37:57 2017-06-26 22:42:06 philipodonnell/paperbroker Metnew/neural-finance inactive 23:51.4 2021-04-21 01:25:51.827641
225 algo-trader-tool-suite getIPIntel https://github.com/K0414/algo-trader-tool-suite https://github.com/blackdotsh/getIPIntel NEW Extended Research 2021-07-02 17:04:00 2021-06-10 08:40:37 59.0 155.0 51.0 33.0 1.0 4.0 2013-10-24 14:57:12 2015-10-02 21:40:50 2013-10-24 15:01:56 2021-01-24 01:09:18 K0414/algo-trader-tool-suite blackdotsh/getIPIntel inactive active 2021-04-21 01:25:51.827641
226 HFT-Orderbook avellaneda-stoikov https://github.com/Crypto-toolbox/HFT-Orderbook https://github.com/ragoragino/avellaneda-stoikov NEW Extended Research 2021-07-02 03:02:02 2021-05-31 12:38:50 444.0 57.0 151.0 20.0 4.0 1.0 2017-07-26 08:42:19 2017-10-21 20:53:00 2018-08-24 13:35:39 2017-10-30 18:23:27 Crypto-toolbox/HFT-Orderbook ragoragino/avellaneda-stoikov inactive 2021-04-21 01:25:51.827641
227 wtpy https://github.com/wondertrader/wtpy NEW Extended Research 2021-06-27 13:51:31 72.0 22.0 1.0 2020-06-18 01:43:25 2021-05-25 12:29:32 wondertrader/wtpy active 2021-04-21 01:25:51.827641
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235 Trading-Bot https://github.com/RaidasGrisk/Trading-Bot NEW Extended Research 2021-06-24 14:27:43 76.0 34.0 1.0 2017-11-27 21:20:40 2018-01-22 21:00:57 RaidasGrisk/Trading-Bot inactive 2021-04-21 01:25:51.827641
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237 beymani https://github.com/pranab/beymani NEW Extended Research 2021-06-28 15:46:37 112.0 60.0 0.0 2012-01-04 07:22:01 2021-06-28 15:46:20 pranab/beymani active 2021-04-21 01:25:51.827641
238 crypto-database https://github.com/ivopetiz/crypto-database NEW Extended Research 2021-06-20 07:43:13 59.0 24.0 2.0 2018-02-22 21:34:11 2019-10-04 13:06:18 ivopetiz/crypto-database active 2021-04-21 01:25:51.827641
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241 TradingStrategies https://github.com/SoftAlgoTrade/TradingStrategies NEW Extended Research 2021-07-02 06:32:06 120.0 55.0 1.0 2017-05-22 20:46:35 2017-10-29 11:09:37 SoftAlgoTrade/TradingStrategies inactive 2021-04-21 01:25:51.827641
242 system https://github.com/BillRun/system NEW Extended Research 2021-05-26 10:11:38 86.0 54.0 8.0 2013-04-11 16:14:53 2020-07-02 15:32:31 BillRun/system active 2021-04-21 01:25:51.827641
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245 algotrading https://github.com/ivopetiz/algotrading NEW Extended Research 2021-07-04 00:23:17 349.0 85.0 3.0 2018-07-10 22:10:41 2021-06-30 19:46:41 ivopetiz/algotrading active 2021-04-21 01:25:51.827641
246 wondertrader https://github.com/wondertrader/wondertrader NEW Extended Research 2021-07-02 05:40:20 291.0 76.0 2.0 2020-03-30 05:43:52 2021-05-24 06:04:06 wondertrader/wondertrader active 2021-04-21 01:25:51.827641
247 fecon236 https://github.com/MathSci/fecon236 NEW Extended Research 2021-06-01 06:28:35 78.0 44.0 2.0 2018-04-05 19:34:51 2019-01-11 08:07:56 MathSci/fecon236 inactive 2021-04-21 01:25:51.827641
248 InteractiveBrokers-Algo-System https://github.com/rediar/InteractiveBrokers-Algo-System NEW Extended Research 2021-06-29 21:47:08 157.0 65.0 1.0 2018-01-21 03:09:41 2018-10-25 02:56:15 rediar/InteractiveBrokers-Algo-System inactive 2021-04-21 01:25:51.827641
249 roq-api https://github.com/roq-trading/roq-api NEW Extended Research 2021-07-03 11:02:53 159.0 48.0 1.0 2018-03-05 08:37:57 2021-06-20 01:46:22 roq-trading/roq-api active 2021-04-21 01:25:51.827641
250 HFT_Bitcoin https://github.com/ghgr/HFT_Bitcoin NEW Extended Research 2021-05-07 12:27:55 72.0 23.0 1.0 2017-07-27 07:11:48 2017-08-21 14:50:35 ghgr/HFT_Bitcoin inactive 2021-04-21 01:25:51.827641
251 Krypto-trading-bot https://github.com/ctubio/Krypto-trading-bot NEW Extended Research 2021-07-03 23:25:50 2313.0 625.0 49.0 2017-06-13 20:15:54 2021-07-03 23:07:54 ctubio/Krypto-trading-bot active 2021-04-21 01:25:51.827641
252 math-finance-cheat-sheet https://github.com/daleroberts/math-finance-cheat-sheet NEW Extended Research 2021-06-20 17:51:38 193.0 30.0 1.0 2014-05-02 00:19:01 2016-11-16 05:57:09 daleroberts/math-finance-cheat-sheet inactive 2021-04-21 01:25:51.827641
253 Financial-Formulas-Library-.NET-Standard https://github.com/srbrettle/Financial-Formulas-Library-.NET-Standard NEW Extended Research 2021-06-25 20:14:51 115.0 33.0 2.0 2018-09-01 17:43:37 2019-11-22 12:50:30 srbrettle/Financial-Formulas-Library-.NET-Standard active 2021-04-21 01:25:51.827641
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ITCH https://github.com/martinobdl/ITCH NEW Extended Research 2021-07-03 09:04:12 73.0 28.0 3.0 2019-03-09 18:20:12 2020-07-25 10:24:10 martinobdl/ITCH active 2021-04-21 01:25:51.827641
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go-quantcup https://github.com/rdingwall/go-quantcup NEW Extended Research 2021-06-30 09:37:46 75.0 36.0 1.0 2015-02-04 10:33:12 2015-06-11 12:50:09 rdingwall/go-quantcup inactive 2021-04-21 01:25:51.827641
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A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market https://github.com/SheikhRabiul/A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market NEW Extended Research 2021-06-12 08:04:27 52.0 21.0 1.0 2017-11-27 06:37:43 2019-01-08 18:13:34 SheikhRabiul/A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market inactive 2021-04-21 01:25:51.827641
Chronicle-Accelerate https://github.com/OpenHFT/Chronicle-Accelerate NEW Extended Research 2020-12-11 04:11:30 55.0 13.0 7.0 2018-01-24 08:52:53 2018-08-11 12:11:43 OpenHFT/Chronicle-Accelerate inactive 2021-04-21 01:25:51.827641
tectonicdb https://github.com/0b01/tectonicdb NEW Extended Research 2021-06-18 18:20:19 351.0 56.0 10.0 2017-10-03 00:34:01 2020-09-08 23:02:20 0b01/tectonicdb active 2021-04-21 01:25:51.827641
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Bayesian Finance I https://github.com/AlexIoannides/pymc-stochastic-process/blob/master/bayes_stoch_proc_calib.ipynb Stochastic Process Calibration using Bayesian Inference & Probabilistic Programs. Extended Research 2021-05-18 12:27:07 27.0 6.0 0.0 2019-01-04 12:30:41 2019-02-18 09:55:21 AlexIoannides/pymc-stochastic-process inactive
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hft https://github.com/nickhuangxinyu/hft NEW Extended Research 2021-07-02 19:14:48 170.0 89.0 2.0 2019-03-12 14:57:01 2021-05-07 04:09:18 nickhuangxinyu/hft active 2021-04-21 01:25:51.827641
OpenHFT https://github.com/OpenHFT/OpenHFT NEW Extended Research 2021-07-03 12:22:45 484.0 153.0 33.0 2013-12-26 10:22:00 2021-07-02 14:00:03 OpenHFT/OpenHFT active 2021-04-21 01:25:51.827641
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HFT-CNN https://github.com/ShimShim46/HFT-CNN NEW Extended Research 2021-05-24 06:03:42 73.0 19.0 1.0 2018-08-18 06:39:32 2018-11-09 02:29:00 ShimShim46/HFT-CNN inactive 2021-04-21 01:25:51.827641
Critical Transitions https://github.com/ryanholbrook/critical-transitions Detecting critical transitions in financial networks with topological data analysis. Extended Research 2021-04-19 09:15:38 11.0 3.0 1.0 2019-01-22 10:59:50 2019-03-12 18:35:02 ryanholbrook/critical-transitions inactive
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255 Finance Graph Theory https://github.com/AvijitGhosh82/Finance_Graph_Theory Modelling Contentedness of Firms in Financial Markets with Heterogeneous Agents. Extended Research 2021-03-28 02:22:22 17.0 7.0 3.0 2018-08-02 02:48:24 2019-03-16 18:39:38 evijit/Finance_Graph_Theory inactive
256 ReactiveTraderCloud https://github.com/AdaptiveConsulting/ReactiveTraderCloud NEW Extended Research 2021-07-01 09:30:53 1602.0 507.0 81.0 2015-11-13 19:24:11 2021-06-24 08:10:33 AdaptiveConsulting/ReactiveTraderCloud active 2021-04-21 01:25:51.827641
257 Critical Transitions https://github.com/ryanholbrook/critical-transitions Detecting critical transitions in financial networks with topological data analysis. Extended Research 2021-04-19 09:15:38 11.0 3.0 1.0 2019-01-22 10:59:50 2019-03-12 18:35:02 ryanholbrook/critical-transitions inactive
258 HFT-CNN https://github.com/ShimShim46/HFT-CNN NEW Extended Research 2021-05-24 06:03:42 73.0 19.0 1.0 2018-08-18 06:39:32 2018-11-09 02:29:00 ShimShim46/HFT-CNN inactive 2021-04-21 01:25:51.827641
259 HFT https://github.com/rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy High frequency trading. Extended Research 2021-07-02 21:52:54 800.0 343.0 1.0 2016-07-21 05:14:14 2017-02-14 16:47:25 rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy inactive
260 example-hftish https://github.com/alpacahq/example-hftish NEW Extended Research 2021-07-03 10:32:39 406.0 171.0 3.0 2019-01-25 14:56:38 2019-10-25 02:16:27 alpacahq/example-hftish active 2021-04-21 01:25:51.827641
261 OpenHFT https://github.com/OpenHFT/OpenHFT NEW Extended Research 2021-07-03 12:22:45 484.0 153.0 33.0 2013-12-26 10:22:00 2021-07-02 14:00:03 OpenHFT/OpenHFT active 2021-04-21 01:25:51.827641
262 hft https://github.com/nickhuangxinyu/hft NEW Extended Research 2021-07-02 19:14:48 170.0 89.0 2.0 2019-03-12 14:57:01 2021-05-07 04:09:18 nickhuangxinyu/hft active 2021-04-21 01:25:51.827641
263 Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras https://github.com/curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras NEW Extended Research 2021-06-28 12:45:23 350.0 237.0 1.0 2017-06-09 13:58:13 2019-06-28 09:27:45 curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras inactive 2021-04-21 01:25:51.827641
264 Bayesian Finance I https://github.com/AlexIoannides/pymc-stochastic-process/blob/master/bayes_stoch_proc_calib.ipynb Stochastic Process Calibration using Bayesian Inference & Probabilistic Programs. Extended Research 2021-05-18 12:27:07 27.0 6.0 0.0 2019-01-04 12:30:41 2019-02-18 09:55:21 AlexIoannides/pymc-stochastic-process inactive
265 Coiner https://github.com/jihoonerd/Coiner NEW Extended Research 2021-04-07 16:15:41 50.0 20.0 1.0 2017-09-26 04:14:36 2018-01-01 13:13:21 jihoonerd/Coiner inactive 2021-04-21 01:25:51.827641
266 Bayesian Finance https://github.com/marketneutral/alphatools/blob/master/notebooks/pymc3-minimal.ipynb Notebook PyMC3 implementation. Extended Research 2021-06-30 12:33:02 253.0 59.0 1.0 2018-08-28 14:45:00 2020-08-06 22:03:47 marketneutral/alphatools active
267 Chronicle-Accelerate https://github.com/OpenHFT/Chronicle-Accelerate NEW Extended Research 2020-12-11 04:11:30 55.0 13.0 7.0 2018-01-24 08:52:53 2018-08-11 12:11:43 OpenHFT/Chronicle-Accelerate inactive 2021-04-21 01:25:51.827641
268 A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market https://github.com/SheikhRabiul/A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market NEW Extended Research 2021-06-12 08:04:27 52.0 21.0 1.0 2017-11-27 06:37:43 2019-01-08 18:13:34 SheikhRabiul/A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market inactive 2021-04-21 01:25:51.827641
269 Simulation https://github.com/chenbowen184/Computational_Finance Investigating simulations as part of computational finance. Extended Research 2021-05-18 09:14:31 19.0 12.0 1.0 2018-01-29 05:01:52 2018-08-02 05:56:49 chen-bowen/Computational_Finance inactive
270 go-quantcup https://github.com/rdingwall/go-quantcup NEW Extended Research 2021-06-30 09:37:46 75.0 36.0 1.0 2015-02-04 10:33:12 2015-06-11 12:50:09 rdingwall/go-quantcup inactive 2021-04-21 01:25:51.827641
271 kafka-fraud-detector https://github.com/florimondmanca/kafka-fraud-detector NEW Extended Research 2021-06-18 12:30:23 61.0 47.0 3.0 2018-09-13 17:36:49 2019-04-29 22:04:23 florimondmanca/kafka-fraud-detector inactive 2021-04-21 01:25:51.827641
272 ITCH https://github.com/martinobdl/ITCH NEW Extended Research 2021-07-03 09:04:12 73.0 28.0 3.0 2019-03-09 18:20:12 2020-07-25 10:24:10 martinobdl/ITCH active 2021-04-21 01:25:51.827641
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274 HFT-Orderbook https://github.com/Crypto-toolbox/HFT-Orderbook NEW Extended Research 2021-07-02 03:02:02 444.0 151.0 4.0 2017-07-26 08:42:19 2018-08-24 13:35:39 Crypto-toolbox/HFT-Orderbook inactive 2021-04-21 01:25:51.827641
275 algo-trader-tool-suite https://github.com/K0414/algo-trader-tool-suite NEW Extended Research 2021-07-02 17:04:00 59.0 51.0 1.0 2013-10-24 14:57:12 2013-10-24 15:01:56 K0414/algo-trader-tool-suite inactive 2021-04-21 01:25:51.827641
276 High-Frequency-Trading-Model-with-IB https://github.com/jamesmawm/High-Frequency-Trading-Model-with-IB NEW Extended Research 2021-07-02 19:50:34 1865.0 551.0 2.0 2014-05-18 19:20:13 2019-06-21 14:58:07 jamesmawm/High-Frequency-Trading-Model-with-IB inactive 2021-04-21 01:25:51.827641
277 tectonicdb https://github.com/0b01/tectonicdb NEW Extended Research 2021-06-18 18:20:19 351.0 56.0 10.0 2017-10-03 00:34:01 2020-09-08 23:02:20 0b01/tectonicdb active 2021-04-21 01:25:51.827641
278 Corporate Finance https://github.com/SeanMcOwen/FinanceAndPython.com-CorporateFinance Basic corporate finance. Extended Research 2021-01-16 19:01:31 9.0 5.0 1.0 2017-09-09 03:35:24 2017-09-09 23:04:48 SeanMcOwen/FinanceAndPython.com-CorporateFinance inactive
279 finmath-lib PE-HFT-Python https://github.com/finmath/finmath-lib https://github.com/PortfolioEffect/PE-HFT-Python NEW Extended Research 2021-07-03 13:34:45 2021-06-18 07:24:56 318.0 50.0 128.0 37.0 16.0 2.0 2013-03-17 10:00:22 2015-11-11 00:58:39 2021-03-13 21:37:31 2017-08-08 02:06:15 finmath/finmath-lib PortfolioEffect/PE-HFT-Python active inactive 2021-04-21 01:25:51.827641 2021-07-07 01:48:46.755450
280 hummingbot_chinese https://github.com/CoinAlpha/hummingbot_chinese NEW Extended Research 2021-07-01 02:34:18 181.0 33.0 5.0 2019-06-05 22:53:04 2021-06-10 16:41:21 CoinAlpha/hummingbot_chinese active 2021-04-21 01:25:51.827641
281 HFTrader https://github.com/DrAshBooth/HFTrader NEW Extended Research 2021-05-04 20:42:44 70.0 43.0 0.0 2012-12-03 13:57:19 2012-12-12 17:17:09 DrAshBooth/HFTrader inactive 2021-04-21 01:25:51.827641
282 finmath-lib https://github.com/finmath/finmath-lib NEW Extended Research 2021-07-03 13:34:45 318.0 128.0 16.0 2013-03-17 10:00:22 2021-03-13 21:37:31 finmath/finmath-lib active 2021-04-21 01:25:51.827641
283 448Project https://github.com/HujiaYuYoyo/448Project NEW Extended Research 2021-06-30 15:50:41 68.0 46.0 4.0 2018-04-14 21:19:21 2018-06-10 09:29:37 HujiaYuYoyo/448Project inactive 2021-04-21 01:25:51.827641
284 Currency PCA https://github.com/shanemulqueen/python-finance-pca/blob/master/FX_spots_w_PCA.ipynb Forex spots PCA. Extended Research 2020-10-26 00:55:20 3.0 1.0 1.0 2019-03-12 21:11:29 2019-03-12 22:09:10 shanemulqueen/python-finance-pca inactive
285 tribeca https://github.com/michaelgrosner/tribeca NEW Extended Research 2021-07-02 02:56:46 3554.0 897.0 22.0 2015-07-07 18:40:45 2018-02-26 18:01:13 michaelgrosner/tribeca inactive 2021-04-21 01:25:51.827641
286 Mathematical Finance https://github.com/Auquan/Tutorials Notebooks for math and financial tutorials. Extended Research 2021-06-30 03:15:03 691.0 451.0 9.0 2017-01-21 11:24:18 2020-08-01 17:03:32 Auquan/Tutorials active
287 MIDAS https://github.com/Stream-AD/MIDAS NEW Extended Research 2021-06-23 10:05:22 616.0 72.0 3.0 2019-10-23 03:50:50 2021-06-08 08:19:24 Stream-AD/MIDAS active 2021-04-21 01:25:51.827641
288 SumZeroTrading https://github.com/rterp/SumZeroTrading NEW Extended Research 2021-06-29 21:23:22 130.0 44.0 1.0 2016-01-19 05:43:31 2018-08-30 22:44:52 rterp/SumZeroTrading inactive 2021-04-21 01:25:51.827641
289 Economic Foundations https://github.com/SeanMcOwen/FinanceAndPython.com-EconomicFoundations Basic economic models. Extended Research 2020-10-06 21:01:59 2.0 4.0 1.0 2017-05-25 02:27:36 2017-06-30 03:53:59 SeanMcOwen/FinanceAndPython.com-EconomicFoundations inactive
290 Liquidity and Momentum https://github.com/mrefermat/quant_finance Various factors and portfolio constructions. Extended Research 2021-06-02 16:38:16 31.0 17.0 1.0 2018-08-11 22:59:53 2019-11-12 04:49:01 mrefermat/quant_finance active
291 Commodity https://github.com/felipessalvatore/fin2vec/blob/master/src/Commodity2BR.ipynb Commodity influence over Brazilian stocks. Extended Research felipessalvatore/fin2vec
292 freqtrade_bot https://github.com/michael-fourie/freqtrade_bot NEW Extended Research 2021-06-19 22:12:08 70.0 23.0 1.0 2020-12-21 00:14:25 2021-01-07 19:52:54 michael-fourie/freqtrade_bot active 2021-04-21 01:25:51.827641
293 Deep Portfolio https://github.com/DLColumbia/DL_forFinance Deep learning for finance Predict volume of bonds. Extended Research 2021-01-12 11:48:27 27.0 19.0 2.0 2018-05-08 19:34:17 2018-05-09 15:39:25 DLColumbia/DL_forFinance inactive
294 spartan https://github.com/rigtorp/spartan NEW Extended Research 2021-06-28 13:04:01 169.0 62.0 1.0 2012-11-22 04:29:42 2015-10-31 03:46:06 rigtorp/spartan inactive 2021-04-21 01:25:51.827641
295 Backtests kungfu https://github.com/AlgoTraders/stock-analysis-engine https://github.com/kungfu-origin/kungfu Trading data and algorithms. NEW Extended Research 2021-07-03 15:21:30 2021-06-30 13:15:33 666.0 2388.0 181.0 873.0 3.0 7.0 2018-09-16 20:00:36 2017-11-15 06:54:01 2020-09-05 13:01:05 2020-06-03 12:04:41 AlgoTraders/stock-analysis-engine kungfu-origin/kungfu active 2021-04-21 01:25:51.827641
296 NLP Finance Papers https://github.com/chenbowen184/Research_Documents_Curation_with_NLP Curating quantitative finance papers using machine learning. Extended Research 2021-02-27 06:33:23 8.0 9.0 1.0 2018-10-11 20:32:37 2018-12-24 23:27:55 chen-bowen/Research_Documents_Curation_with_NLP inactive
297 Real Estate Property Fraud https://github.com/aviroop1/Real_Estate_Property_Fraud Unsupervised fraud detection model that can identify likely candidates of fraud. Extended Research aviroop1/Real_Estate_Property_Fraud
298 Behavioural Economics https://github.com/pcmichaud/notebooks Behavioural Economics and Finance Python Notebooks. Extended Research 2021-02-03 07:22:40 9.0 4.0 1.0 2018-12-20 00:21:38 2019-03-26 11:51:46 pcmichaud/notebooks inactive
299 High Frequency Backtests https://github.com/cswaney/prickle https://github.com/AlgoTraders/stock-analysis-engine A Python toolkit for high-frequency trade research. Trading data and algorithms. Extended Research 2021-07-03 10:29:12 2021-07-03 15:21:30 27.0 666.0 17.0 181.0 2.0 3.0 2016-07-06 20:32:21 2018-09-16 20:00:36 2018-06-09 10:53:51 2020-09-05 13:01:05 cswaney/prickle AlgoTraders/stock-analysis-engine inactive active
300 Market Crash Prediction https://github.com/sarachmax/MarketCrashes_Prediction/blob/master/LPPL_Comparasion.ipynb Predicting market crashes using an LPPL model. Extended Research 2020-10-06 21:01:42 1.0 3.0 1.0 2019-01-24 13:37:45 2019-02-13 16:48:00 sarachmax/MarketCrashes_Prediction inactive
301 M&A https://github.com/atulram/Finance-and-Stocks Mergers and Acquisitions. Extended Research 2020-12-21 14:42:43 3.0 3.0 1.0 2019-01-19 18:16:47 2019-02-18 16:57:19 atulram/Finance-and-Stocks inactive
302 fraud-detection-demo https://github.com/afedulov/fraud-detection-demo NEW Extended Research 2021-07-03 13:59:56 179.0 74.0 2.0 2019-11-04 09:23:17 2021-01-05 19:28:04 afedulov/fraud-detection-demo active 2021-04-21 01:25:51.827641
303 2018-Kaggle-AdTrackingFraud https://github.com/ShawnyXiao/2018-Kaggle-AdTrackingFraud NEW Extended Research 2021-05-21 03:36:04 72.0 23.0 1.0 2018-05-08 09:29:46 2019-01-12 07:57:33 ShawnyXiao/2018-Kaggle-AdTrackingFraud inactive 2021-04-21 01:25:51.827641
304 Deep Portfolio High Frequency https://github.com/DLColumbia/DL_forFinance https://github.com/cswaney/prickle Deep learning for finance Predict volume of bonds. A Python toolkit for high-frequency trade research. Extended Research 2021-01-12 11:48:27 2021-07-03 10:29:12 27.0 19.0 17.0 2.0 2018-05-08 19:34:17 2016-07-06 20:32:21 2018-05-09 15:39:25 2018-06-09 10:53:51 DLColumbia/DL_forFinance cswaney/prickle inactive
kungfu https://github.com/kungfu-origin/kungfu NEW Extended Research 2021-06-30 13:15:33 2388.0 873.0 7.0 2017-11-15 06:54:01 2020-06-03 12:04:41 kungfu-origin/kungfu active 2021-04-21 01:25:51.827641
Commodity https://github.com/felipessalvatore/fin2vec/blob/master/src/Commodity2BR.ipynb Commodity influence over Brazilian stocks. Extended Research felipessalvatore/fin2vec
Liquidity and Momentum https://github.com/mrefermat/quant_finance Various factors and portfolio constructions. Extended Research 2021-06-02 16:38:16 31.0 17.0 1.0 2018-08-11 22:59:53 2019-11-12 04:49:01 mrefermat/quant_finance active
Economic Foundations https://github.com/SeanMcOwen/FinanceAndPython.com-EconomicFoundations Basic economic models. Extended Research 2020-10-06 21:01:59 2.0 4.0 1.0 2017-05-25 02:27:36 2017-06-30 03:53:59 SeanMcOwen/FinanceAndPython.com-EconomicFoundations inactive
SumZeroTrading https://github.com/rterp/SumZeroTrading NEW Extended Research 2021-06-29 21:23:22 130.0 44.0 1.0 2016-01-19 05:43:31 2018-08-30 22:44:52 rterp/SumZeroTrading inactive 2021-04-21 01:25:51.827641
freqtrade_bot https://github.com/michael-fourie/freqtrade_bot NEW Extended Research 2021-06-19 22:12:08 70.0 23.0 1.0 2020-12-21 00:14:25 2021-01-07 19:52:54 michael-fourie/freqtrade_bot active 2021-04-21 01:25:51.827641
MIDAS https://github.com/Stream-AD/MIDAS NEW Extended Research 2021-06-23 10:05:22 616.0 72.0 3.0 2019-10-23 03:50:50 2021-06-08 08:19:24 Stream-AD/MIDAS active 2021-04-21 01:25:51.827641
Mathematical Finance https://github.com/Auquan/Tutorials Notebooks for math and financial tutorials. Extended Research 2021-06-30 03:15:03 691.0 451.0 9.0 2017-01-21 11:24:18 2020-08-01 17:03:32 Auquan/Tutorials active
tribeca https://github.com/michaelgrosner/tribeca NEW Extended Research 2021-07-02 02:56:46 3554.0 897.0 22.0 2015-07-07 18:40:45 2018-02-26 18:01:13 michaelgrosner/tribeca inactive 2021-04-21 01:25:51.827641
Currency PCA https://github.com/shanemulqueen/python-finance-pca/blob/master/FX_spots_w_PCA.ipynb Forex spots PCA. Extended Research 2020-10-26 00:55:20 3.0 1.0 1.0 2019-03-12 21:11:29 2019-03-12 22:09:10 shanemulqueen/python-finance-pca inactive
448Project https://github.com/HujiaYuYoyo/448Project NEW Extended Research 2021-06-30 15:50:41 68.0 46.0 4.0 2018-04-14 21:19:21 2018-06-10 09:29:37 HujiaYuYoyo/448Project inactive 2021-04-21 01:25:51.827641
HFTrader https://github.com/DrAshBooth/HFTrader NEW Extended Research 2021-05-04 20:42:44 70.0 43.0 0.0 2012-12-03 13:57:19 2012-12-12 17:17:09 DrAshBooth/HFTrader inactive 2021-04-21 01:25:51.827641
Fraud_Detector https://github.com/kskk02/Fraud_Detector NEW Extended Research 2021-05-19 15:04:04 58.0 35.0 1.0 2014-07-03 20:52:51 2015-01-15 22:03:04 kskk02/Fraud_Detector inactive 2021-04-21 01:25:51.827641
High-Frequency-Trading-Model-with-IB https://github.com/jamesmawm/High-Frequency-Trading-Model-with-IB NEW Extended Research 2021-07-02 19:50:34 1865.0 551.0 2.0 2014-05-18 19:20:13 2019-06-21 14:58:07 jamesmawm/High-Frequency-Trading-Model-with-IB inactive 2021-04-21 01:25:51.827641
math-finance-cheat-sheet https://github.com/daleroberts/math-finance-cheat-sheet NEW Extended Research 2021-06-20 17:51:38 193.0 30.0 1.0 2014-05-02 00:19:01 2016-11-16 05:57:09 daleroberts/math-finance-cheat-sheet inactive 2021-04-21 01:25:51.827641
bot18 https://github.com/carlos8f/bot18 NEW Extended Research 2021-07-01 22:33:23 170.0 32.0 2.0 2018-05-23 14:22:25 2018-10-17 08:06:21 carlos8f/bot18 inactive 2021-04-21 01:25:51.827641
neural-finance https://github.com/Metnew/neural-finance NEW Extended Research 2021-04-13 10:50:40 64.0 28.0 1.0 2016-12-30 17:14:13 2017-06-26 22:42:06 Metnew/neural-finance inactive 2021-04-21 01:25:51.827641
wattnet-fx-trading https://github.com/Zymrael/wattnet-fx-trading NEW Extended Research 2021-06-23 09:21:35 62.0 12.0 1.0 2019-09-13 08:44:27 2020-08-19 05:49:12 Zymrael/wattnet-fx-trading active 2021-04-21 01:25:51.827641
fingerprintjs https://github.com/fingerprintjs/fingerprintjs NEW Extended Research 2021-07-03 20:06:48 14010.0 1663.0 68.0 2015-02-11 08:49:54 2021-07-01 02:06:11 fingerprintjs/fingerprintjs active 2021-04-21 01:25:51.827641
FX-1-Minute-Data https://github.com/philipperemy/FX-1-Minute-Data NEW Extended Research 2021-06-15 09:06:49 288.0 113.0 4.0 2017-05-22 03:24:35 2021-06-15 09:06:46 philipperemy/FX-1-Minute-Data active 2021-04-21 01:25:51.827641
FX-Trading-with-Python-and-Oanda https://github.com/anthonyng2/FX-Trading-with-Python-and-Oanda NEW Extended Research 2021-02-20 20:49:53 57.0 42.0 1.0 2017-02-23 07:48:12 2017-08-14 03:21:30 anthonyng2/FX-Trading-with-Python-and-Oanda inactive 2021-04-21 01:25:51.827641
Fraud_Detection_Techniques https://github.com/wmlba/Fraud_Detection_Techniques NEW Extended Research 2021-07-02 02:41:32 63.0 35.0 1.0 2019-02-14 02:27:13 2020-06-14 23:36:47 wmlba/Fraud_Detection_Techniques active 2021-04-21 01:25:51.827641
Fraud-detection-using-deep-learning https://github.com/aaxwaz/Fraud-detection-using-deep-learning NEW Extended Research 2021-06-20 02:23:38 105.0 56.0 1.0 2017-06-18 12:35:24 2017-12-06 13:51:54 aaxwaz/Fraud-detection-using-deep-learning inactive 2021-04-21 01:25:51.827641
Applied Corporate Finance https://github.com/chenbowen184/Data_Science_in_Applied_Corporate_Finance Studies the empirical behaviours in stock market. Extended Research 2021-07-02 01:10:03 10.0 10.0 1.0 2018-01-29 05:14:52 2018-07-19 06:25:36 chen-bowen/Data_Science_in_Applied_Corporate_Finance inactive
High-Frequency-Trading-Simulation-System https://github.com/chenhaotian/High-Frequency-Trading-Simulation-System NEW Extended Research 2021-05-21 16:30:46 51.0 25.0 1.0 2016-06-14 13:50:39 2018-04-16 08:48:10 chenhaotian/High-Frequency-Trading-Simulation-System inactive 2021-04-21 01:25:51.827641
fx_systrade https://github.com/ryogrid/fx_systrade NEW Extended Research 2021-05-09 01:04:16 81.0 29.0 2.0 2015-07-24 11:46:28 2020-10-23 10:17:01 ryogrid/fx_systrade active 2021-04-21 01:25:51.827641
getIPIntel https://github.com/blackdotsh/getIPIntel NEW Extended Research 2021-06-10 08:40:37 155.0 33.0 4.0 2015-10-02 21:40:50 2021-01-24 01:09:18 blackdotsh/getIPIntel active 2021-04-21 01:25:51.827641
StockPredictionRNN https://github.com/dzitkowskik/StockPredictionRNN NEW Extended Research 2021-06-27 05:43:20 508.0 216.0 2.0 2015-11-26 19:00:35 2016-05-21 15:51:22 dzitkowskik/StockPredictionRNN inactive 2021-04-21 01:25:51.827641
UGFraud https://github.com/safe-graph/UGFraud NEW Extended Research 2021-06-28 08:32:14 61.0 16.0 2.0 2020-06-01 22:34:14 2021-04-11 19:01:44 safe-graph/UGFraud active 2021-05-26 02:41:08.838631
talkingdata-adtracking-fraud-detection https://github.com/flowlight0/talkingdata-adtracking-fraud-detection NEW Extended Research 2021-06-08 07:39:19 204.0 54.0 1.0 2018-03-21 11:27:31 2018-06-10 15:30:50 flowlight0/talkingdata-adtracking-fraud-detection inactive 2021-04-21 01:25:51.827641
DGFraud https://github.com/safe-graph/DGFraud NEW Extended Research 2021-07-03 11:17:11 329.0 90.0 4.0 2019-11-22 14:02:36 2021-05-27 21:12:27 safe-graph/DGFraud active 2021-04-21 01:25:51.827641
fraud-detection-using-machine-learning https://github.com/awslabs/fraud-detection-using-machine-learning NEW Extended Research 2021-06-09 19:03:27 98.0 63.0 6.0 2019-05-17 17:12:46 2021-06-09 19:03:19 awslabs/fraud-detection-using-machine-learning active 2021-04-21 01:25:51.827641
graph-fraud-detection-papers https://github.com/safe-graph/graph-fraud-detection-papers NEW Extended Research 2021-07-03 12:44:47 407.0 74.0 2.0 2019-11-21 05:39:23 2021-06-28 22:03:00 safe-graph/graph-fraud-detection-papers active 2021-04-21 01:25:51.827641
Avellaneda-Stoikov https://github.com/mdibo/Avellaneda-Stoikov NEW Extended Research 2021-06-07 04:17:42 52.0 43.0 1.0 2017-10-16 03:36:34 2020-05-09 23:35:08 mdibo/Avellaneda-Stoikov active 2021-06-02 04:27:12.212333
Computational Finance https://github.com/lnsongxf/Applied_Computational_Economics_and_Finance Applied Computational Economics and Finance. Extended Research 2021-05-31 04:01:48 13.0 14.0 1.0 2017-08-27 03:46:33 2017-08-26 04:26:04 lnsongxf/Applied_Computational_Economics_and_Finance inactive
Financial Economics https://github.com/rsvp/fecon235/tree/master/nb Financial Economics Models. Extended Research 2021-06-30 19:22:45 726.0 281.0 2.0 2014-11-09 04:49:01 2018-12-03 16:30:28 rsvp/fecon235 inactive
roq-samples https://github.com/roq-trading/roq-samples NEW Extended Research 2021-06-30 11:59:50 66.0 24.0 3.0 2018-03-27 04:19:09 2021-06-20 01:38:28 roq-trading/roq-samples active 2021-05-05 01:50:21.293278
Q-Fin https://github.com/RomanMichaelPaolucci/Q-Fin NEW Extended Research 2021-07-02 16:52:05 53.0 8.0 1.0 2021-04-21 13:29:51 2021-06-07 16:23:33 RomanMichaelPaolucci/Q-Fin active 2021-06-02 04:27:12.212333
avellaneda-stoikov https://github.com/ragoragino/avellaneda-stoikov NEW Extended Research 2021-05-31 12:38:50 57.0 20.0 1.0 2017-10-21 20:53:00 2017-10-30 18:23:27 ragoragino/avellaneda-stoikov inactive 2021-04-21 01:25:51.827641
PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop https://github.com/TheSnowGuru/PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop NEW Extended Research 2021-07-03 10:44:38 149.0 42.0 2.0 2020-07-05 07:59:38 2021-06-24 06:04:19 TheSnowGuru/PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop active 2021-04-21 01:25:51.827641
FraudDetection-Microservices https://github.com/melofred/FraudDetection-Microservices NEW Extended Research 2021-02-16 00:13:03 85.0 50.0 1.0 2016-06-08 23:24:21 2017-01-18 17:52:01 melofred/FraudDetection-Microservices inactive 2021-04-21 01:25:51.827641
HFT_Bitcoin https://github.com/ghgr/HFT_Bitcoin NEW Extended Research 2021-05-07 12:27:55 72.0 23.0 1.0 2017-07-27 07:11:48 2017-08-21 14:50:35 ghgr/HFT_Bitcoin inactive 2021-04-21 01:25:51.827641
roq-api https://github.com/roq-trading/roq-api NEW Extended Research 2021-07-03 11:02:53 159.0 48.0 1.0 2018-03-05 08:37:57 2021-06-20 01:46:22 roq-trading/roq-api active 2021-04-21 01:25:51.827641
InteractiveBrokers-Algo-System https://github.com/rediar/InteractiveBrokers-Algo-System NEW Extended Research 2021-06-29 21:47:08 157.0 65.0 1.0 2018-01-21 03:09:41 2018-10-25 02:56:15 rediar/InteractiveBrokers-Algo-System inactive 2021-04-21 01:25:51.827641
fecon236 https://github.com/MathSci/fecon236 NEW Extended Research 2021-06-01 06:28:35 78.0 44.0 2.0 2018-04-05 19:34:51 2019-01-11 08:07:56 MathSci/fecon236 inactive 2021-04-21 01:25:51.827641
wondertrader https://github.com/wondertrader/wondertrader NEW Extended Research 2021-07-02 05:40:20 291.0 76.0 2.0 2020-03-30 05:43:52 2021-05-24 06:04:06 wondertrader/wondertrader active 2021-04-21 01:25:51.827641
algotrading https://github.com/ivopetiz/algotrading NEW Extended Research 2021-07-04 00:23:17 349.0 85.0 3.0 2018-07-10 22:10:41 2021-06-30 19:46:41 ivopetiz/algotrading active 2021-04-21 01:25:51.827641
tradingrrl https://github.com/darden1/tradingrrl NEW Extended Research 2021-06-24 14:28:41 59.0 34.0 1.0 2017-03-05 07:20:56 2018-11-14 13:19:52 darden1/tradingrrl inactive 2021-04-21 01:25:51.827641
wtpy https://github.com/wondertrader/wtpy NEW Extended Research 2021-06-27 13:51:31 72.0 22.0 1.0 2020-06-18 01:43:25 2021-05-25 12:29:32 wondertrader/wtpy active 2021-04-21 01:25:51.827641
awesome-fraud-detection-papers https://github.com/benedekrozemberczki/awesome-fraud-detection-papers NEW Extended Research 2021-07-03 23:03:03 898.0 191.0 4.0 2019-05-27 10:23:22 2021-06-24 09:26:19 benedekrozemberczki/awesome-fraud-detection-papers active 2021-04-21 01:25:51.827641
system https://github.com/BillRun/system NEW Extended Research 2021-05-26 10:11:38 86.0 54.0 8.0 2013-04-11 16:14:53 2020-07-02 15:32:31 BillRun/system active 2021-04-21 01:25:51.827641
TradingStrategies https://github.com/SoftAlgoTrade/TradingStrategies NEW Extended Research 2021-07-02 06:32:06 120.0 55.0 1.0 2017-05-22 20:46:35 2017-10-29 11:09:37 SoftAlgoTrade/TradingStrategies inactive 2021-04-21 01:25:51.827641
Krypto-trading-bot https://github.com/ctubio/Krypto-trading-bot NEW Extended Research 2021-07-03 23:25:50 2313.0 625.0 49.0 2017-06-13 20:15:54 2021-07-03 23:07:54 ctubio/Krypto-trading-bot active 2021-04-21 01:25:51.827641
math-php https://github.com/markrogoyski/math-php NEW Extended Research 2021-07-03 22:32:38 1924.0 201.0 17.0 2016-04-03 17:57:14 2021-05-09 19:53:17 markrogoyski/math-php active 2021-04-21 01:25:51.827641
crypto-database https://github.com/ivopetiz/crypto-database NEW Extended Research 2021-06-20 07:43:13 59.0 24.0 2.0 2018-02-22 21:34:11 2019-10-04 13:06:18 ivopetiz/crypto-database active 2021-04-21 01:25:51.827641
beymani https://github.com/pranab/beymani NEW Extended Research 2021-06-28 15:46:37 112.0 60.0 0.0 2012-01-04 07:22:01 2021-06-28 15:46:20 pranab/beymani active 2021-04-21 01:25:51.827641
exchange-core https://github.com/mzheravin/exchange-core NEW Extended Research 2021-07-01 01:19:09 960.0 434.0 7.0 2018-08-05 18:25:16 2021-04-25 18:24:27 mzheravin/exchange-core active 2021-04-21 01:25:51.827641
Trading-Bot https://github.com/RaidasGrisk/Trading-Bot NEW Extended Research 2021-06-24 14:27:43 76.0 34.0 1.0 2017-11-27 21:20:40 2018-01-22 21:00:57 RaidasGrisk/Trading-Bot inactive 2021-04-21 01:25:51.827641
fraud-detection-papers https://github.com/IPL/fraud-detection-papers NEW Extended Research 2021-06-23 03:33:33 136.0 31.0 1.0 2017-09-29 02:47:54 2021-02-03 09:47:27 IPL/fraud-detection-papers active 2021-04-21 01:25:51.827641
ml-fraud-detection https://github.com/georgymh/ml-fraud-detection NEW Extended Research 2021-06-28 15:16:20 124.0 93.0 2.0 2017-04-27 01:48:35 2018-01-31 21:17:26 georgymh/ml-fraud-detection inactive 2021-04-21 01:25:51.827641
gym-fx https://github.com/harveybc/gym-fx NEW Extended Research 2021-06-26 06:03:54 160.0 44.0 1.0 2017-02-21 21:04:09 2020-06-03 21:03:14 harveybc/gym-fx active 2021-04-21 01:25:51.827641
fraud-detection https://github.com/yazanobeidi/fraud-detection NEW Extended Research 2021-07-02 16:08:52 61.0 34.0 1.0 2017-08-04 15:03:47 2017-08-05 15:38:45 yazanobeidi/fraud-detection inactive 2021-04-21 01:25:51.827641
TalkingData https://github.com/CuteChibiko/TalkingData NEW Extended Research 2021-06-06 19:34:41 101.0 39.0 1.0 2018-05-09 15:17:45 2018-05-11 01:32:26 CuteChibiko/TalkingData inactive 2021-04-21 01:25:51.827641
CAPM https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%202%2C%20CAPM.ipynb Expected returns using CAPM. Factor and Risk Analysis 2021-03-01 13:53:42 31.0 18.0 1.0 2016-05-10 11:03:48 2016-05-17 03:44:56 RJT1990/Active-Portfolio-Management-Notes inactive
Quant Finance https://github.com/mrefermat/quant_finance General quant repository. Factor and Risk Analysis 2021-06-02 16:38:16 31.0 17.0 1.0 2018-08-11 22:59:53 2019-11-12 04:49:01 mrefermat/quant_finance active
VaR GaN https://github.com/hamaadshah/market_risk_gan_keras Estimate Value-at-Risk for market risk management using Keras and TensorFlow. Factor and Risk Analysis 2021-06-21 06:11:36 43.0 29.0 1.0 2018-08-06 16:09:44 2020-11-22 19:02:07 hamaadshah/market_risk_gan_tensorflow active
Performance Analysis https://github.com/quantopian/alphalens Performance analysis of predictive (alpha) stock factors. Factor and Risk Analysis 2021-07-03 08:06:55 1965.0 753.0 17.0 2016-06-03 21:49:15 2020-04-27 18:40:41 quantopian/alphalens active
Quantropy https://github.com/AlainDaccache/Quantropy NEW Factor and Risk Analysis 2021-06-19 23:12:00 27.0 4.0 2.0 2020-06-13 15:34:25 2021-03-15 01:49:23 AlainDaccache/Quantropy active 2021-05-05 01:50:30.163258
Statistical Finance https://github.com/mrefermat/FinancePhD/tree/master/FinancialExperiments Various financial experiments. Factor and Risk Analysis 2021-03-30 00:09:28 21.0 17.0 1.0 2015-10-04 09:10:54 2020-03-28 18:33:58 mrefermat/FinancePhD active
Convex Optimisation https://github.com/ssanderson/convex-optimization-for-finance/blob/master/notebooks/Main.ipynb Convex Optimization for Finance. Factor and Risk Analysis 2021-04-08 19:02:22 18.0 11.0 1.0 2018-06-26 20:36:47 2019-10-22 21:56:46 ssanderson/convex-optimization-for-finance active
VaR https://github.com/willb/var-notebook/blob/master/var-notebook/var-pdfs.ipynb Value-at-risk calculations. Factor and Risk Analysis 2021-03-31 02:06:48 10.0 9.0 1.0 2016-11-15 19:24:17 2017-01-14 21:19:30 willb/var-notebook inactive
Python for Finance https://github.com/yhilpisch/py4fi/tree/master/jupyter36 Various financial notebooks. Factor and Risk Analysis 2021-07-03 13:53:05 1332.0 804.0 1.0 2014-12-15 11:23:34 2018-07-10 06:38:12 yhilpisch/py4fi inactive
Risk Basic https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%203%2C%20Risk.ipynb Active portfolio risk management . Factor and Risk Analysis 2021-03-01 13:53:42 31.0 18.0 1.0 2016-05-10 11:03:48 2016-05-17 03:44:56 RJT1990/Active-Portfolio-Management-Notes inactive
Factor Analysis https://github.com/alpha-miner/alpha-mind/tree/master/notebooks Factor strategy notebooks. Factor and Risk Analysis 2021-06-27 16:26:50 178.0 61.0 5.0 2017-05-01 07:36:54 2021-06-26 07:13:21 alpha-miner/alpha-mind active
Machine_learning_In_Finance https://github.com/chaudharigauravi/Machine_learning_In_Finance NEW Factor and Risk Analysis 2020-11-27 19:23:33 8.0 3.0 1.0 2019-08-03 04:04:51 2019-08-03 04:05:32 chaudharigauravi/Machine_learning_In_Finance active 23:57.7
Pyfolio https://github.com/quantopian/pyfolio Portfolio and risk analytics in Python. Factor and Risk Analysis 2021-07-03 19:28:23 3886.0 1234.0 41.0 2015-06-01 15:31:39 2020-02-28 17:30:19 quantopian/pyfolio active
305 TradeFinexLive https://github.com/XinFinOrg/TradeFinexLive NEW Factor and Risk Analysis 2021-07-02 06:53:30 5.0 12.0 8.0 2018-03-21 10:05:22 2021-07-02 06:53:22 XinFinOrg/TradeFinexLive active 23:57.7
Stock-Prediction https://github.com/Ronak-59/Stock-Prediction NEW Factor and Risk Analysis 2021-07-02 13:52:34 140.0 68.0 2.0 2018-03-18 04:54:45 2020-02-28 11:43:07 Ronak-59/Stock-Prediction active 37:06.3
simulate https://github.com/leolle/simulate NEW Factor and Risk Analysis 2021-03-23 13:34:53 11.0 2.0 1.0 2017-06-04 15:18:21 2018-11-11 14:03:40 leolle/simulate inactive 23:57.7
Various Risk Measures https://github.com/Jorgencr/Alternative-and-Responsible-Investments/blob/master/Final_masterfile.ipynb Risk measures and factors for alternative and responsible investments. Factor and Risk Analysis 2020-11-04 07:04:38 4.0 4.0 1.0 2017-08-07 14:44:32 2017-08-08 22:52:11 Jorgencr/Alternative-and-Responsible-Investments inactive
AlphaTrading https://github.com/jerryxyx/AlphaTrading NEW Factor and Risk Analysis 2021-06-09 02:31:50 152.0 78.0 1.0 2018-05-18 22:09:52 2018-08-07 18:05:37 jerryxyx/AlphaTrading inactive 37:06.3
-L- https://github.com/jettbrains/-L- NEW Factor and Risk Analysis 2021-03-15 03:05:00 6.0 17.0 1.0 2019-10-28 21:50:26 2019-10-28 21:51:19 jettbrains/-L- active 23:57.7
Factor Analysis https://github.com/garvit-kudesia91/factor_analysis/blob/master/Factor%20Analysis%20of%20Mutual%20Funds.ipynb Factor analysis for mutual funds. Factor and Risk Analysis 2020-12-21 14:26:46 3.0 4.0 1.0 2018-03-13 07:39:20 2018-03-13 07:42:36 garvit-kudesia91/factor_analysis inactive
stock-market-analysis-using-python-numpy-pandas https://github.com/Ashishsinha10/stock-market-analysis-using-python-numpy-pandas NEW Factor and Risk Analysis 2021-03-21 08:50:27 8.0 5.0 1.0 2018-04-10 05:15:49 2018-04-10 05:28:54 Ashishsinha10/stock-market-analysis-using-python-numpy-pandas inactive 23:57.7
306 Risk and Return https://github.com/PyDataBlog/Python-for-Data-Science/tree/master/Tutorials Riskiness of portfolios and assets. Factor and Risk Analysis 2021-06-05 14:54:12 148.0 63.0 2.0 2017-09-12 13:35:09 2020-08-06 12:35:44 PyDataBlog/Python-for-Data-Science active
307 Binomial Tree stock-market-analysis-using-python-numpy-pandas https://github.com/hy-lei/math-finance-exercise https://github.com/Ashishsinha10/stock-market-analysis-using-python-numpy-pandas Utility functions in fixed income securities. NEW Fixed Income Factor and Risk Analysis 2020-10-06 20:55:18 2021-03-21 08:50:27 1.0 8.0 2.0 5.0 1.0 2019-02-02 08:44:14 2018-04-10 05:15:49 2019-05-03 17:16:52 2018-04-10 05:28:54 hy-lei/math-finance-toolbox Ashishsinha10/stock-market-analysis-using-python-numpy-pandas inactive 23:57.7
308 market-data Factor Analysis https://github.com/kriasoft/market-data https://github.com/garvit-kudesia91/factor_analysis/blob/master/Factor%20Analysis%20of%20Mutual%20Funds.ipynb NEW Factor analysis for mutual funds. Fixed Income Factor and Risk Analysis 2020-06-22 10:58:20 2020-12-21 14:26:46 25.0 3.0 20.0 4.0 1.0 2012-12-07 13:42:48 2018-03-13 07:39:20 2012-12-15 12:10:06 2018-03-13 07:42:36 kriasoft/market-data garvit-kudesia91/factor_analysis inactive 24:33.4
309 woe -L- https://github.com/boredbird/woe https://github.com/jettbrains/-L- NEW Fixed Income Factor and Risk Analysis 2021-06-17 02:46:24 2021-03-15 03:05:00 226.0 6.0 96.0 17.0 1.0 2017-09-11 07:15:04 2019-10-28 21:50:26 2018-03-01 10:45:40 2019-10-28 21:51:19 boredbird/woe jettbrains/-L- inactive active 24:33.4 23:57.7
310 MagentoExtensions AlphaTrading https://github.com/5mehulhelp5/MagentoExtensions https://github.com/jerryxyx/AlphaTrading NEW Fixed Income Factor and Risk Analysis 2021-06-30 10:33:53 2021-06-09 02:31:50 110.0 152.0 109.0 78.0 2.0 1.0 2014-07-03 05:45:54 2018-05-18 22:09:52 2017-11-24 16:15:49 2018-08-07 18:05:37 5mehulhelp5/MagentoExtensions jerryxyx/AlphaTrading inactive 24:33.4 37:06.3
311 Vasicek Various Risk Measures https://github.com/RobinsonGarcia/fixed-income/blob/master/2.0%20Vasicek%20-%20example.ipynb https://github.com/Jorgencr/Alternative-and-Responsible-Investments/blob/master/Final_masterfile.ipynb Bootstrapping and interpolation. Risk measures and factors for alternative and responsible investments. Fixed Income Factor and Risk Analysis 2020-12-10 21:20:03 2020-11-04 07:04:38 3.0 4.0 3.0 4.0 1.0 2018-07-18 19:26:54 2017-08-07 14:44:32 2018-07-18 19:34:48 2017-08-08 22:52:11 RobinsonGarcia/fixed-income Jorgencr/Alternative-and-Responsible-Investments inactive
312 simulate https://github.com/leolle/simulate NEW Factor and Risk Analysis 2021-03-23 13:34:53 11.0 2.0 1.0 2017-06-04 15:18:21 2018-11-11 14:03:40 leolle/simulate inactive 23:57.7
313 Stock-Prediction https://github.com/Ronak-59/Stock-Prediction NEW Factor and Risk Analysis 2021-07-02 13:52:34 140.0 68.0 2.0 2018-03-18 04:54:45 2020-02-28 11:43:07 Ronak-59/Stock-Prediction active 37:06.3
314 Pyfolio https://github.com/quantopian/pyfolio Portfolio and risk analytics in Python. Factor and Risk Analysis 2021-07-03 19:28:23 3886.0 1234.0 41.0 2015-06-01 15:31:39 2020-02-28 17:30:19 quantopian/pyfolio active
315 Quant Finance https://github.com/mrefermat/quant_finance General quant repository. Factor and Risk Analysis 2021-06-02 16:38:16 31.0 17.0 1.0 2018-08-11 22:59:53 2019-11-12 04:49:01 mrefermat/quant_finance active
316 Factor Analysis https://github.com/alpha-miner/alpha-mind/tree/master/notebooks Factor strategy notebooks. Factor and Risk Analysis 2021-06-27 16:26:50 178.0 61.0 5.0 2017-05-01 07:36:54 2021-06-26 07:13:21 alpha-miner/alpha-mind active
317 Risk Basic https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%203%2C%20Risk.ipynb Active portfolio risk management . Factor and Risk Analysis 2021-03-01 13:53:42 31.0 18.0 1.0 2016-05-10 11:03:48 2016-05-17 03:44:56 RJT1990/Active-Portfolio-Management-Notes inactive
318 Python for Finance https://github.com/yhilpisch/py4fi/tree/master/jupyter36 Various financial notebooks. Factor and Risk Analysis 2021-07-03 13:53:05 1332.0 804.0 1.0 2014-12-15 11:23:34 2018-07-10 06:38:12 yhilpisch/py4fi inactive
319 VaR https://github.com/willb/var-notebook/blob/master/var-notebook/var-pdfs.ipynb Value-at-risk calculations. Factor and Risk Analysis 2021-03-31 02:06:48 10.0 9.0 1.0 2016-11-15 19:24:17 2017-01-14 21:19:30 willb/var-notebook inactive
320 Convex Optimisation https://github.com/ssanderson/convex-optimization-for-finance/blob/master/notebooks/Main.ipynb Convex Optimization for Finance. Factor and Risk Analysis 2021-04-08 19:02:22 18.0 11.0 1.0 2018-06-26 20:36:47 2019-10-22 21:56:46 ssanderson/convex-optimization-for-finance active
321 Statistical Finance https://github.com/mrefermat/FinancePhD/tree/master/FinancialExperiments Various financial experiments. Factor and Risk Analysis 2021-03-30 00:09:28 21.0 17.0 1.0 2015-10-04 09:10:54 2020-03-28 18:33:58 mrefermat/FinancePhD active
322 Quantropy https://github.com/AlainDaccache/Quantropy NEW Factor and Risk Analysis 2021-06-19 23:12:00 27.0 4.0 2.0 2020-06-13 15:34:25 2021-03-15 01:49:23 AlainDaccache/Quantropy active 2021-05-05 01:50:30.163258
323 Performance Analysis https://github.com/quantopian/alphalens Performance analysis of predictive (alpha) stock factors. Factor and Risk Analysis 2021-07-03 08:06:55 1965.0 753.0 17.0 2016-06-03 21:49:15 2020-04-27 18:40:41 quantopian/alphalens active
324 VaR GaN https://github.com/hamaadshah/market_risk_gan_keras Estimate Value-at-Risk for market risk management using Keras and TensorFlow. Factor and Risk Analysis 2021-06-21 06:11:36 43.0 29.0 1.0 2018-08-06 16:09:44 2020-11-22 19:02:07 hamaadshah/market_risk_gan_tensorflow active
325 CAPM https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%202%2C%20CAPM.ipynb Expected returns using CAPM. Factor and Risk Analysis 2021-03-01 13:53:42 31.0 18.0 1.0 2016-05-10 11:03:48 2016-05-17 03:44:56 RJT1990/Active-Portfolio-Management-Notes inactive
326 Machine_learning_In_Finance https://github.com/chaudharigauravi/Machine_learning_In_Finance NEW Factor and Risk Analysis 2020-11-27 19:23:33 8.0 3.0 1.0 2019-08-03 04:04:51 2019-08-03 04:05:32 chaudharigauravi/Machine_learning_In_Finance active 23:57.7
327 DROP-Fixed-Income https://github.com/lakshmiDRIP/DROP-Fixed-Income NEW Fixed Income 2021-06-16 02:44:50 20.0 10.0 1.0 2017-08-10 20:58:18 2018-09-26 19:21:02 lakshmiDRIP/DROP-Fixed-Income inactive 2021-06-17 01:50:56.302719
328 rating_history https://github.com/govwiki/rating_history NEW Fixed Income 2021-05-02 23:24:59 27.0 15.0 1.0 2017-11-23 22:52:14 2017-12-03 20:42:49 govwiki/rating_history inactive 24:33.4
329 Corporate Bonds https://github.com/ishank011/gs-quantify-bond-prediction Predicting the buying and selling volume of the corporate bonds. Fixed Income 2021-06-07 03:06:04 8.0 5.0 1.0 2017-09-27 19:57:13 2017-09-27 20:00:29 ishank011/gs-quantify-bond-prediction inactive
330 DROP-Fixed-Income MagentoExtensions https://github.com/lakshmiDRIP/DROP-Fixed-Income https://github.com/5mehulhelp5/MagentoExtensions NEW Fixed Income 2021-06-16 02:44:50 2021-06-30 10:33:53 20.0 110.0 10.0 109.0 1.0 2.0 2017-08-10 20:58:18 2014-07-03 05:45:54 2018-09-26 19:21:02 2017-11-24 16:15:49 lakshmiDRIP/DROP-Fixed-Income 5mehulhelp5/MagentoExtensions inactive 2021-06-17 01:50:56.302719 24:33.4
331 CryptoBot woe https://github.com/AdeelMufti/CryptoBot https://github.com/boredbird/woe Hard fork of [bitpredit](https://github.com/cbyn/bitpredict) and form the trading strategy as a classification problem with -1 (sell) 0 (hold) 1 (buy). Models used are XGBClassifier/RandomForest/GradientBoosting. Not mentained NEW Other Models Fixed Income 2021-06-19 15:28:43 2021-06-17 02:46:24 248.0 226.0 97.0 96.0 1.0 2017-01-17 12:44:52 2017-09-11 07:15:04 2017-01-17 12:48:17 2018-03-01 10:45:40 AdeelMufti/CryptoBot boredbird/woe inactive 2.0 39:24.6 24:33.4
332 surpriver market-data https://github.com/tradytics/surpriver https://github.com/kriasoft/market-data Machine learning algo to detect anomaly in equities data. Uses sklearn [IsolationForest](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.IsolationForest.html) model and price/volume based technical signals as features using [ta](https://github.com/bukosabino/ta) library. Opensourced by [tradytics](https://tradytics.com/). Code structures are less extensible NEW Other Models Fixed Income 2021-07-02 08:41:45 2020-06-22 10:58:20 1245.0 25.0 235.0 20.0 6.0 1.0 2020-08-30 07:56:22 2012-12-07 13:42:48 2020-09-21 04:32:05 2012-12-15 12:10:06 tradytics/surpriver kriasoft/market-data active inactive 3.0 39:24.6 24:33.4
333 Machine-Learning-and-AI-in-Trading Vasicek https://github.com/PyPatel/Machine-Learning-and-AI-in-Trading https://github.com/RobinsonGarcia/fixed-income/blob/master/2.0%20Vasicek%20-%20example.ipynb repo covering lstm and other sklearn model for trading. Code is not structured well and less extensible Bootstrapping and interpolation. Other Models Fixed Income 2021-07-02 14:54:07 2020-12-10 21:20:03 271.0 3.0 104.0 3.0 1.0 2017-08-30 06:14:59 2018-07-18 19:26:54 2019-10-29 08:14:39 2018-07-18 19:34:48 PyPatel/Machine-Learning-and-AI-in-Trading RobinsonGarcia/fixed-income active inactive 2.0 39:24.6
334 Hands-On-Machine-Learning-for-Algorithmic-Trading Binomial Tree https://github.com/PacktPublishing/Hands-On-Machine-Learning-for-Algorithmic-Trading https://github.com/hy-lei/math-finance-exercise repo for book [hands-on-machine learning for algorithmic trading](https://www.packtpub.com/product/hands-on-machine-learning-for-algorithmic-trading/9781789346411) covering topic from data/unsupervised learning/NPL/RNN & CNN/reinforcement learning etc. Leverage zipline/alphalens/sklearn/openai-gym etc as well. Good references to have Utility functions in fixed income securities. Other Models Fixed Income 2021-07-03 17:54:20 2020-10-06 20:55:18 646.0 1.0 418.0 2.0 2.0 1.0 2019-05-07 11:04:25 2019-02-02 08:44:14 2021-01-19 07:51:00 2019-05-03 17:16:52 PacktPublishing/Hands-On-Machine-Learning-for-Algorithmic-Trading hy-lei/math-finance-toolbox active inactive 5.0 39:24.6
MathAndScienceNotes https://github.com/melling/MathAndScienceNotes Collections of news/articles on various topics including quant trading and machine learning. Some articles are from [ycombinator message board](https://news.ycombinator.com/news) and [rediit algotrading forum](https://www.reddit.com/r/algotrading/) Other Models 2021-07-03 18:36:18 465.0 57.0 1.0 2016-03-11 19:13:00 2020-12-21 03:54:51 melling/MathAndScienceNotes active 3.0 39:24.6
Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original https://github.com/PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original official repo for [machine learning for algorithmic trading](https://www.amazon.com/Machine-Learning-Algorithmic-Trading-alternative/dp/1839217715?pf_rd_r=GZH2XZ35GB3BET09PCCA&pf_rd_p=c5b6893a-24f2-4a59-9d4b-aff5065c90ec&pd_rd_r=91a679c7-f069-4a6e-bdbb-a2b3f548f0c8&pd_rd_w=2B0Q0&pd_rd_wg=GMY5S&ref_=pd_gw_ci_mcx_mr_hp_d) book. Covering topics including backtesting/boosting/nlp/deep&reinforcement learning. Leverage open source libraries including [backtrader](https://www.backtrader.com/) [zipline](https://github.com/quantopian/zipline) and [talib](https://github.com/mrjbq7/ta-lib) Other Models 2021-07-01 14:02:53 338.0 156.0 4.0 2019-11-15 08:51:40 2021-01-21 07:56:08 PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original active 4.0 39:24.6
Mixture Models II https://github.com/BlackArbsCEO/mixture_model_trading_public Mixture models and stock trading. Other Models 2021-07-02 05:28:11 170.0 74.0 1.0 2017-12-11 17:05:38 2020-05-13 23:50:47 BlackArbsCEO/mixture_model_trading_public active 3.0
awesome-ai-in-finance https://github.com/georgezouq/awesome-ai-in-finance curated list of books/online courses/papers on AI and finance. Topics include crypto trading strategies/ta/backter etc. Other Models 2021-07-02 12:14:36 1039.0 183.0 8.0 2018-08-29 02:07:02 2021-07-02 07:12:52 georgezouq/awesome-ai-in-finance active 3.0 39:24.6
Fundamental LT Forecasts https://github.com/Hvass-Labs/FinanceOps Research in investment finance for long term forecasts and a curated list of notebooks. Each topic contains a youtube video explaining in details. Interesting topics including using price per book ratio and other multiples for future return prediction and portfolio optimization. data sourced form [simfin](https://github.com/SimFin/simfin) yahoo finance and [s&p 500 earnings and estimate report](https://www.spglobal.com/spdji/en/documents/additional-material/sp-500-eps-est.xlsx) etc. Other Models 2021-07-03 03:17:22 431.0 134.0 1.0 2018-07-22 08:14:46 2021-06-04 15:59:04 Hvass-Labs/FinanceOps active 3.0
Stanford-Project-Predicting-stock-prices-using-a-LSTM-Network https://github.com/dduemig/Stanford-Project-Predicting-stock-prices-using-a-LSTM-Network NEW Other Models 2021-07-03 10:21:47 104.0 29.0 1.0 2019-02-19 17:40:43 2020-02-24 14:46:43 dduemig/Stanford-Project-Predicting-stock-prices-using-a-LSTM-Network active 2021-06-17 01:51:12.428196
Mixture Models I https://github.com/BlackArbsCEO/Mixture_Models Mixture models to predict market bottoms and regime changes based on a seminar given to quantinsti in 2017 and summary and video is [here](https://blog.quantinsti.com/webinar-can-we-use-mixture-models-to-predict-market-bottoms/). Gaussian mixture models are build on markov models and expectation maximization thoery to detect regimes and seminar reported positive results using features asset returns/tedrate/10y2ysptread/10y3m spread from fred which can be access here [fredapi](https://github.com/mortada/fredapi). Though most of the returns came from being long equities after 2009 Other Models 2021-05-16 20:01:22 32.0 32.0 1.0 2017-03-20 18:54:24 2017-04-25 23:35:20 BlackArbsCEO/Mixture_Models inactive 2.0
Machine-Learning-for-Algorithmic-Trading-Bots-with-Python https://github.com/PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Bots-with-Python code repo for [machine learning for algorithmic trading bots](https://www.packtpub.com/application-development/machine-learning-algorithmic-trading-bots-python-video) video series. Contains notebooks and deep dive using [zipline](https://github.com/quantopian/zipline) Other Models 2021-07-02 20:24:54 193.0 104.0 5.0 2018-12-06 11:35:08 2021-01-18 06:40:53 PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Bots-with-Python active 3.0 39:24.6
Awesome-Quant-Machine-Learning-Trading https://github.com/grananqvist/Awesome-Quant-Machine-Learning-Trading curated list of books/online courses/youtube videos/blogs/interviews/papers/code etc. Updates are pretty infrequent Other Models 2021-07-03 00:39:16 1109.0 342.0 3.0 2018-11-05 21:09:06 2020-10-08 16:48:18 grananqvist/Awesome-Quant-Machine-Learning-Trading active 5.0 39:24.6
Trend Following http://inseaddataanalytics.github.io/INSEADAnalytics/ExerciseSet2.html A futures trend following portfolio investment strategy. Other Models
stock-trading-ml https://github.com/yacoubb/stock-trading-ml lstm model using keras to predict msft prices. Data is from [alphavantage](https://www.alphavantage.co/) which provides some free data through web services. Showing how to use concatenation layer to join timeseries data with TA data. Might be abit of overfitting on the model though Other Models 2021-07-02 21:08:40 371.0 208.0 1.0 2019-10-10 09:44:02 2019-10-12 11:38:49 yacoubb/stock-trading-ml active 3.0 39:24.6
fin-ml https://github.com/tatsath/fin-ml accompanying materials for book [Machine Learning and Data Science Blueprints for Finance](https://www.amazon.com/Machine-Learning-Science-Blueprints-Finance/dp/1492073059) on top of basic machine learning models i.e. nlp/reinforcement learning/supervised & unsupervised learning it covers wider topics including robo-advisors/fraud detection/loan default/derivative pricing/yield curve construction. Other Models 2021-07-02 14:53:22 147.0 99.0 2.0 2020-05-10 00:25:56 2021-01-23 17:15:07 tatsath/fin-ml active 4.0 39:24.6
mlfinlab https://github.com/hudson-and-thames/mlfinlab open source library maintained by hudson and thames though much of the content has moved to a subscription model. Idea is to implement academic research in python code and aggregate it as a package. Sources from [Journal of financial data science](https://jfds.pm-research.com/) / [journal of portfolio management](https://jpm.pm-research.com/) / [journal of algorithmic finance](http://www.algorithmicfinance.org/) / [cambridge university press](https://www.cambridge.org/) Other Models 2021-07-03 19:07:39 2451.0 752.0 3.0 2019-02-13 16:57:25 2021-06-29 22:40:46 hudson-and-thames/mlfinlab active 3.0 39:24.6
Scikit-learn Stock Prediction https://github.com/robertmartin8/MachineLearningStocks using fundamental and pricing data to predict future stock returns. Sklearn's randomforest classifier is trainded and author claimed positive live trading results. Not actively mainained Other Models 2021-07-01 20:51:38 988.0 367.0 2.0 2017-02-12 04:50:44 2021-02-04 03:48:33 robertmartin8/MachineLearningStocks active 3.0
335 Pattern-Recognition-for-Forex-Trading https://github.com/PythonProgramming/Pattern-Recognition-for-Forex-Trading repo for article [pattern recognization for forex trading](https://pythonprogramming.net/machine-learning-pattern-recognition-algorithmic-forex-stock-trading/) not very scalable and not maintained Other Models 2021-06-28 15:55:02 178.0 93.0 1.0 2015-03-26 02:22:03 2015-03-26 02:33:51 PythonProgramming/Pattern-Recognition-for-Forex-Trading inactive 1.0 39:24.6
336 Short-Term Movement Cues https://github.com/anfederico/Clairvoyant Identify social/historical cues for short term stock movement. Sklearn SVM model is used and good visualization coded in matplotlib Other Models 2021-06-28 07:06:20 2193.0 705.0 1.0 2016-09-12 18:38:17 2021-06-24 15:43:54 anfederico/clairvoyant active 3.0
337 mosquito https://github.com/miro-ka/mosquito base framework trading bot for crypto. Stores data in local mongodb instance and supports backtest and live trading on [poloniex](https://poloniex.com/) and [bittrex](https://bittrex.com/) which are 12-15th ranked crypto exchanges by volume. Leverage [talib](https://github.com/mrjbq7/ta-lib) for ta data and [plotly](https://github.com/plotly/plotly.py) for visualization Other Models 2021-07-02 13:20:41 240.0 45.0 2.0 2017-06-18 19:57:17 2021-03-14 22:22:00 miro-ka/mosquito active 3.0 39:24.6
338 Machine-Learning-For-Finance https://github.com/anthonyng2/Machine-Learning-For-Finance accompanying materials for slide [here](https://github.com/anthonyng2/Machine-Learning-For-Finance/blob/master/Regression%20Based%20Machine%20Learning%20for%20Algorithmic%20Trading/Machine%20Learning%20-%20Linear%20Regression%20for%20Algo%20Trading%20v2017-07-13.pdf) covering more tradition quant trading topics like pair trading/kalman filter/trend following etc. Referecing interesting paper [characterization of financial time series](http://www.cs.ucl.ac.uk/fileadmin/UCL-CS/research/Research_Notes/RN_11_01.pdf) Other Models 2021-06-04 14:27:22 205.0 121.0 1.0 2017-07-11 09:09:15 2018-02-21 05:36:35 anthonyng2/Machine-Learning-For-Finance inactive 2.0 39:24.6
339 botflow https://github.com/kkyon/botflow python dataflow programming framework. Similar and probably replaceable by sklearn.pipeline module. Uses [graphviz](https://graphviz.org/) for visiualization though not maintained with last commit over 3 years ago Other Models 2021-07-02 21:46:14 1176.0 102.0 8.0 2018-08-20 03:13:31 2019-05-23 14:40:50 kkyon/botflow inactive 2.0 39:24.6
Speculator https://github.com/amicks/Speculator python code to predict crypto prices using machine learning models. Two models used here tensorflow DNNClassifier and sklearn randomforest. Exposes the functionality as web services api using flask. Some idea are based on this paper [predicting the direction of stock market prices](https://arxiv.org/pdf/1605.00003.pdf) Other Models 2021-07-01 00:48:21 107.0 31.0 2.0 2017-09-03 17:43:03 2018-09-12 18:58:38 amicks/Speculator inactive 3.0 39:24.6
340 Machine-Learning-for-Finance https://github.com/PacktPublishing/Machine-Learning-for-Finance repo for book [machine learning for finance](https://www.packtpub.com/product/machine-learning-for-finance/9781789136364) with heavier focus on machine learning and less on finance. Topics covered including computer vision/time series/nlp/generative models (i.e. autoencoder)/reinforcement learning/debugging ml systems Other Models 2021-06-14 12:07:26 192.0 131.0 4.0 2018-03-15 06:28:00 2021-01-14 15:58:03 PacktPublishing/Machine-Learning-for-Finance active 3.0 39:24.6
341 Scikit-learn Stock Prediction https://github.com/robertmartin8/MachineLearningStocks using fundamental and pricing data to predict future stock returns. Sklearn's randomforest classifier is trainded and author claimed positive live trading results. Not actively mainained Other Models 2021-07-01 20:51:38 988.0 367.0 2.0 2017-02-12 04:50:44 2021-02-04 03:48:33 robertmartin8/MachineLearningStocks active 3.0
342 finance_ml https://github.com/jjakimoto/finance_ml unofficial repo based on [Advances in Financial Machine Learning](https://www.amazon.com/Advances-Financial-Machine-Learning-Marcos/dp/1119482089). It's incomplete and not updated Other Models 2021-07-02 11:53:01 304.0 130.0 1.0 2018-06-29 21:21:17 2021-06-07 19:28:50 jjakimoto/finance_ml active 1.0 39:24.6
343 AlphaPy https://github.com/ScottfreeLLC/AlphaPy machine learning framework built on sklearn and pandas. Support pyfolio/xgboost/lightgmb/catboost(gradient boosting on decision tress) etc. Examples include financial market prediction/sports prediction/kaggle. Configurations are set though yaml file for all model process including feature selection/grid search on parameters and aggregate results for each model Other Models 2021-06-28 22:10:18 613.0 137.0 3.0 2016-02-14 00:47:32 2021-02-08 21:35:40 ScottfreeLLC/AlphaPy active 4.0 39:24.6
344 Microservices-Based-Algorithmic-Trading-System https://github.com/saeed349/Microservices-Based-Algorithmic-Trading-System docker based platfrom for developing algo trading strategies. Very interesting combinations of open source components were used including [backtrader](https://www.backtrader.com/) for backtest strategies / [mlflow](https://mlflow.org/) for managing the machine learning model life cycle (i.e. training and developing machine learning models) / [airflow](https://airflow.apache.org/) used as workflow management including schedule data download etc. / [superset](https://superset.apache.org/) web data visualization tool similar to tableau / [minio](https://min.io/) for fast object storage (i.e. storing saved models and model artifacts) / postgresql used to store security master and daily and minute data. Also contains some details on deployment on cloud Other Models 2021-06-19 22:55:35 139.0 71.0 1.0 2020-01-06 00:21:58 2021-05-29 18:07:29 saeed349/Microservices-Based-Algorithmic-Trading-System active 5.0 39:24.6
345 ML_Finance_Codes https://github.com/mfrdixon/ML_Finance_Codes accompanying materials for book [Machine Learning in Finance](https://www.springer.com/gp/book/9783030410674) covering probabilistic modeling/sequence modeling/neural networks/reinforcement learning etc. Other Models 2021-06-29 21:50:06 292.0 127.0 3.0 2019-09-27 16:13:50 2020-06-13 21:20:26 mfrdixon/ML_Finance_Codes active 3.0 39:24.6
346 Stock.Indicators https://github.com/DaveSkender/Stock.Indicators list of technical indicators implemented in c#. Full list and explanation available [here](https://daveskender.github.io/Stock.Indicators/docs/INDICATORS.html). This list contains several indicators that ta-lib does not cover Other Models 2021-07-02 15:18:33 241.0 76.0 9.0 2019-12-29 05:18:07 2021-07-02 04:42:24 DaveSkender/Stock.Indicators active 3.0 39:24.6
347 Speculator https://github.com/amicks/Speculator python code to predict crypto prices using machine learning models. Two models used here tensorflow DNNClassifier and sklearn randomforest. Exposes the functionality as web services api using flask. Some idea are based on this paper [predicting the direction of stock market prices](https://arxiv.org/pdf/1605.00003.pdf) Other Models 2021-07-01 00:48:21 107.0 31.0 2.0 2017-09-03 17:43:03 2018-09-12 18:58:38 amicks/Speculator inactive 3.0 39:24.6
348 mlfinlab https://github.com/hudson-and-thames/mlfinlab open source library maintained by hudson and thames though much of the content has moved to a subscription model. Idea is to implement academic research in python code and aggregate it as a package. Sources from [Journal of financial data science](https://jfds.pm-research.com/) / [journal of portfolio management](https://jpm.pm-research.com/) / [journal of algorithmic finance](http://www.algorithmicfinance.org/) / [cambridge university press](https://www.cambridge.org/) Other Models 2021-07-03 19:07:39 2451.0 752.0 3.0 2019-02-13 16:57:25 2021-06-29 22:40:46 hudson-and-thames/mlfinlab active 3.0 39:24.6
349 Machine-Learning-for-Algorithmic-Trading-Bots-with-Python https://github.com/PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Bots-with-Python code repo for [machine learning for algorithmic trading bots](https://www.packtpub.com/application-development/machine-learning-algorithmic-trading-bots-python-video) video series. Contains notebooks and deep dive using [zipline](https://github.com/quantopian/zipline) Other Models 2021-07-02 20:24:54 193.0 104.0 5.0 2018-12-06 11:35:08 2021-01-18 06:40:53 PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Bots-with-Python active 3.0 39:24.6
350 stock-trading-ml https://github.com/yacoubb/stock-trading-ml lstm model using keras to predict msft prices. Data is from [alphavantage](https://www.alphavantage.co/) which provides some free data through web services. Showing how to use concatenation layer to join timeseries data with TA data. Might be abit of overfitting on the model though Other Models 2021-07-02 21:08:40 371.0 208.0 1.0 2019-10-10 09:44:02 2019-10-12 11:38:49 yacoubb/stock-trading-ml active 3.0 39:24.6
351 CryptoBot https://github.com/AdeelMufti/CryptoBot Hard fork of [bitpredit](https://github.com/cbyn/bitpredict) and form the trading strategy as a classification problem with -1 (sell) 0 (hold) 1 (buy). Models used are XGBClassifier/RandomForest/GradientBoosting. Not mentained Other Models 2021-06-19 15:28:43 248.0 97.0 1.0 2017-01-17 12:44:52 2017-01-17 12:48:17 AdeelMufti/CryptoBot inactive 2.0 39:24.6
352 fin-ml https://github.com/tatsath/fin-ml accompanying materials for book [Machine Learning and Data Science Blueprints for Finance](https://www.amazon.com/Machine-Learning-Science-Blueprints-Finance/dp/1492073059) on top of basic machine learning models i.e. nlp/reinforcement learning/supervised & unsupervised learning it covers wider topics including robo-advisors/fraud detection/loan default/derivative pricing/yield curve construction. Other Models 2021-07-02 14:53:22 147.0 99.0 2.0 2020-05-10 00:25:56 2021-01-23 17:15:07 tatsath/fin-ml active 4.0 39:24.6
353 surpriver https://github.com/tradytics/surpriver Machine learning algo to detect anomaly in equities data. Uses sklearn [IsolationForest](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.IsolationForest.html) model and price/volume based technical signals as features using [ta](https://github.com/bukosabino/ta) library. Opensourced by [tradytics](https://tradytics.com/). Code structures are less extensible Other Models 2021-07-02 08:41:45 1245.0 235.0 6.0 2020-08-30 07:56:22 2020-09-21 04:32:05 tradytics/surpriver active 3.0 39:24.6
354 Hands-On-Machine-Learning-for-Algorithmic-Trading https://github.com/PacktPublishing/Hands-On-Machine-Learning-for-Algorithmic-Trading repo for book [hands-on-machine learning for algorithmic trading](https://www.packtpub.com/product/hands-on-machine-learning-for-algorithmic-trading/9781789346411) covering topic from data/unsupervised learning/NPL/RNN & CNN/reinforcement learning etc. Leverage zipline/alphalens/sklearn/openai-gym etc as well. Good references to have Other Models 2021-07-03 17:54:20 646.0 418.0 2.0 2019-05-07 11:04:25 2021-01-19 07:51:00 PacktPublishing/Hands-On-Machine-Learning-for-Algorithmic-Trading active 5.0 39:24.6
355 MathAndScienceNotes https://github.com/melling/MathAndScienceNotes Collections of news/articles on various topics including quant trading and machine learning. Some articles are from [ycombinator message board](https://news.ycombinator.com/news) and [rediit algotrading forum](https://www.reddit.com/r/algotrading/) Other Models 2021-07-03 18:36:18 465.0 57.0 1.0 2016-03-11 19:13:00 2020-12-21 03:54:51 melling/MathAndScienceNotes active 3.0 39:24.6
356 Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original https://github.com/PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original official repo for [machine learning for algorithmic trading](https://www.amazon.com/Machine-Learning-Algorithmic-Trading-alternative/dp/1839217715?pf_rd_r=GZH2XZ35GB3BET09PCCA&pf_rd_p=c5b6893a-24f2-4a59-9d4b-aff5065c90ec&pd_rd_r=91a679c7-f069-4a6e-bdbb-a2b3f548f0c8&pd_rd_w=2B0Q0&pd_rd_wg=GMY5S&ref_=pd_gw_ci_mcx_mr_hp_d) book. Covering topics including backtesting/boosting/nlp/deep&reinforcement learning. Leverage open source libraries including [backtrader](https://www.backtrader.com/) [zipline](https://github.com/quantopian/zipline) and [talib](https://github.com/mrjbq7/ta-lib) Other Models 2021-07-01 14:02:53 338.0 156.0 4.0 2019-11-15 08:51:40 2021-01-21 07:56:08 PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original active 4.0 39:24.6
357 Machine-Learning-and-AI-in-Trading https://github.com/PyPatel/Machine-Learning-and-AI-in-Trading repo covering lstm and other sklearn model for trading. Code is not structured well and less extensible Other Models 2021-07-02 14:54:07 271.0 104.0 1.0 2017-08-30 06:14:59 2019-10-29 08:14:39 PyPatel/Machine-Learning-and-AI-in-Trading active 2.0 39:24.6
358 awesome-ai-in-finance https://github.com/georgezouq/awesome-ai-in-finance curated list of books/online courses/papers on AI and finance. Topics include crypto trading strategies/ta/backter etc. Other Models 2021-07-02 12:14:36 1039.0 183.0 8.0 2018-08-29 02:07:02 2021-07-02 07:12:52 georgezouq/awesome-ai-in-finance active 3.0 39:24.6
359 Fundamental LT Forecasts https://github.com/Hvass-Labs/FinanceOps Research in investment finance for long term forecasts and a curated list of notebooks. Each topic contains a youtube video explaining in details. Interesting topics including using price per book ratio and other multiples for future return prediction and portfolio optimization. data sourced form [simfin](https://github.com/SimFin/simfin) yahoo finance and [s&p 500 earnings and estimate report](https://www.spglobal.com/spdji/en/documents/additional-material/sp-500-eps-est.xlsx) etc. Other Models 2021-07-03 03:17:22 431.0 134.0 1.0 2018-07-22 08:14:46 2021-06-04 15:59:04 Hvass-Labs/FinanceOps active 3.0
360 Stanford-Project-Predicting-stock-prices-using-a-LSTM-Network https://github.com/dduemig/Stanford-Project-Predicting-stock-prices-using-a-LSTM-Network NEW Other Models 2021-07-03 10:21:47 104.0 29.0 1.0 2019-02-19 17:40:43 2020-02-24 14:46:43 dduemig/Stanford-Project-Predicting-stock-prices-using-a-LSTM-Network active 2021-06-17 01:51:12.428196
361 Mixture Models I https://github.com/BlackArbsCEO/Mixture_Models Mixture models to predict market bottoms and regime changes based on a seminar given to quantinsti in 2017 and summary and video is [here](https://blog.quantinsti.com/webinar-can-we-use-mixture-models-to-predict-market-bottoms/). Gaussian mixture models are build on markov models and expectation maximization thoery to detect regimes and seminar reported positive results using features asset returns/tedrate/10y2ysptread/10y3m spread from fred which can be access here [fredapi](https://github.com/mortada/fredapi). Though most of the returns came from being long equities after 2009 Other Models 2021-05-16 20:01:22 32.0 32.0 1.0 2017-03-20 18:54:24 2017-04-25 23:35:20 BlackArbsCEO/Mixture_Models inactive 2.0
362 Awesome-Quant-Machine-Learning-Trading https://github.com/grananqvist/Awesome-Quant-Machine-Learning-Trading curated list of books/online courses/youtube videos/blogs/interviews/papers/code etc. Updates are pretty infrequent Other Models 2021-07-03 00:39:16 1109.0 342.0 3.0 2018-11-05 21:09:06 2020-10-08 16:48:18 grananqvist/Awesome-Quant-Machine-Learning-Trading active 5.0 39:24.6
363 Trend Following http://inseaddataanalytics.github.io/INSEADAnalytics/ExerciseSet2.html A futures trend following portfolio investment strategy. Other Models
364 Mixture Models II https://github.com/BlackArbsCEO/mixture_model_trading_public Mixture models and stock trading. Other Models 2021-07-02 05:28:11 170.0 74.0 1.0 2017-12-11 17:05:38 2020-05-13 23:50:47 BlackArbsCEO/mixture_model_trading_public active 3.0
365 Machine Learning in Asset Management https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3420952 Personal Papers
366 Machine Learning in Asset Management—Part 2: Portfolio Construction—Weight Optimization https://jfds.pm-research.com/content/2/2/17 Personal Papers
367 Financial Event Prediction using Machine Learning https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3481555 Personal Papers
368 Machine Learning in Asset Management—Part 1: Portfolio Construction—Trading Strategies https://jfds.pm-research.com/content/2/1/10 Personal Papers
369 Riskfolio-Lib https://github.com/dcajasn/Riskfolio-Lib NEW Portfolio Selection and Optimisation 2021-07-03 22:53:38 527.0 80.0 1.0 2020-03-02 19:49:06 2021-07-03 22:53:28 dcajasn/Riskfolio-Lib active 37:19.5
370 Distribution Characteristic Optimisation https://github.com/VivekPa/OptimalPortfolio Extends classical portfolio optimisation to take the skewness and kurtosis of the distribution of market invariants into account. Portfolio Selection and Optimisation 2021-07-01 14:06:29 245.0 83.0 3.0 2018-11-16 12:20:25 2021-06-29 04:28:09 VivekPa/OptimalPortfolio active
371 Reinforcement Learning https://github.com/filangel/qtrader Reinforcement Learning for Portfolio Management. Portfolio Selection and Optimisation 2021-06-15 08:26:52 366.0 152.0 1.0 2017-10-07 09:14:33 2018-06-26 09:22:27 filangelos/qtrader inactive
372 riskparity.py https://github.com/dppalomar/riskparity.py NEW Portfolio Selection and Optimisation 2021-06-23 01:58:48 155.0 36.0 2.0 2019-07-13 21:30:55 2021-06-10 12:25:08 dppalomar/riskparity.py active 37:19.5
373 OLMAR Algorithm https://github.com/charlessutton/OLMAR/blob/master/Part3.ipynb Relative importance of each component of the OLMAR algorithm. Portfolio Selection and Optimisation 2021-06-17 19:20:53 8.0 4.0 1.0 2016-07-26 16:20:10 2016-12-30 11:40:53 charlessutton/OLMAR inactive
374 node-finance https://github.com/albertosantini/node-finance NEW Portfolio Selection and Optimisation 2021-05-27 04:16:16 105.0 26.0 3.0 2011-09-17 17:49:56 2021-04-05 08:01:12 albertosantini/node-finance active 37:19.5
375 DeepDow https://github.com/jankrepl/deepdow Portfolio optimization with deep learning. Portfolio Selection and Optimisation 2021-07-03 17:08:05 360.0 66.0 2.0 2020-02-02 08:46:33 2021-02-16 18:50:53 jankrepl/deepdow active
376 401K Portfolio Optimisation https://github.com/otosman/Python-for-Finance/blob/master/Portfolio%20Optimization%20401k.ipynb Portfolio analyses and optimisation for 401K. Portfolio Selection and Optimisation 2020-12-25 09:39:33 14.0 5.0 1.0 2018-08-01 19:48:24 2019-09-05 11:18:56 otosman/Python-for-Finance active
377 PyPortfolioOpt https://github.com/robertmartin8/PyPortfolioOpt Financial portfolio optimisation, including classical efficient frontier and advanced methods. Portfolio Selection and Optimisation 2021-07-03 12:40:21 2131.0 527.0 18.0 2018-05-29 13:30:30 2021-06-17 10:18:37 robertmartin8/PyPortfolioOpt active
378 Online Portfolio Selection https://nbviewer.jupyter.org/github/paulperry/quant/blob/master/OLPS_Comparison.ipynb ****Comparing OLPS algorithms on a diversified set of ETFs. Portfolio Selection and Optimisation
379 Efficient Frontier https://github.com/tthustla/efficient_frontier/blob/master/Efficient%20_Frontier_implementation.ipynb Modern Portfolio Theory. Portfolio Selection and Optimisation 2021-06-30 19:45:01 110.0 59.0 1.0 2018-02-17 08:19:46 2018-02-27 13:16:57 tthustla/efficient_frontier inactive
Deep Portfolio Theory https://github.com/tcloaa/Deep-Portfolio-Theory Autoencoder framework for portfolio selection. Portfolio Selection and Optimisation 2021-06-05 05:01:47 107.0 60.0 1.0 2017-02-10 09:03:08 2018-03-08 16:47:00 tcloaa/Deep-Portfolio-Theory inactive
380 Policy Gradient Portfolio https://github.com/ZhengyaoJiang/PGPortfolio A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem. Portfolio Selection and Optimisation 2021-07-03 06:01:57 1325.0 640.0 6.0 2017-11-12 16:08:44 2019-05-09 09:50:18 ZhengyaoJiang/PGPortfolio inactive
381 Deep Portfolio Theory https://github.com/tcloaa/Deep-Portfolio-Theory Autoencoder framework for portfolio selection. Portfolio Selection and Optimisation 2021-06-05 05:01:47 107.0 60.0 1.0 2017-02-10 09:03:08 2018-03-08 16:47:00 tcloaa/Deep-Portfolio-Theory inactive
382 Modern Portfolio Theory https://nbviewer.jupyter.org/github/Marigold/universal-portfolios/blob/master/modern-portfolio-theory.ipynb Universal portfolios; modern portfolio theory. Portfolio Selection and Optimisation
383 DeepDow FinBERT https://github.com/jankrepl/deepdow https://github.com/psnonis/FinBERT Portfolio optimization with deep learning. NEW Portfolio Selection and Optimisation Textual 2021-07-03 17:08:05 2021-06-30 13:23:44 360.0 145.0 66.0 48.0 2.0 3.0 2020-02-02 08:46:33 2019-07-09 16:34:27 2021-02-16 18:50:53 2020-05-19 02:02:20 jankrepl/deepdow psnonis/FinBERT active 24:28.5
384 401K Portfolio Optimisation awesome-financial-nlp https://github.com/otosman/Python-for-Finance/blob/master/Portfolio%20Optimization%20401k.ipynb https://github.com/icoxfog417/awesome-financial-nlp Portfolio analyses and optimisation for 401K. NEW Portfolio Selection and Optimisation Textual 2020-12-25 09:39:33 2021-06-23 19:16:06 14.0 240.0 5.0 39.0 1.0 2.0 2018-08-01 19:48:24 2019-10-03 03:53:20 2019-09-05 11:18:56 2020-02-01 08:28:16 otosman/Python-for-Finance icoxfog417/awesome-financial-nlp active 24:28.5
385 OLMAR Algorithm NLP https://github.com/charlessutton/OLMAR/blob/master/Part3.ipynb https://github.com/toamitesh/NLPinFinance Relative importance of each component of the OLMAR algorithm. This project assembles a lot of NLP operations needed for finance domain. Portfolio Selection and Optimisation Textual 2021-06-17 19:20:53 8.0 4.0 1.0 2016-07-26 16:20:10 2016-12-30 11:40:53 charlessutton/OLMAR toamitesh/NLPinFinance inactive
386 Riskfolio-Lib financial-news-dataset https://github.com/dcajasn/Riskfolio-Lib https://github.com/philipperemy/financial-news-dataset NEW Portfolio Selection and Optimisation Textual 2021-07-03 22:53:38 2021-06-24 10:04:05 527.0 158.0 80.0 77.0 1.0 2020-03-02 19:49:06 2016-08-23 13:29:07 2021-07-03 22:53:28 2021-03-04 06:34:24 dcajasn/Riskfolio-Lib philipperemy/financial-news-dataset active 37:19.5 24:28.5
387 riskparity.py NLP Event https://github.com/dppalomar/riskparity.py https://github.com/yuriak/DLQuant NEW Applying Deep Learning and NLP in Quantitative Trading. Portfolio Selection and Optimisation Textual 2021-06-23 01:58:48 2021-06-11 05:42:05 155.0 72.0 36.0 32.0 2.0 1.0 2019-07-13 21:30:55 2018-07-02 23:50:52 2021-06-10 12:25:08 2019-01-31 14:08:20 dppalomar/riskparity.py yuriak/DLQuant active inactive 37:19.5
388 Reinforcement Learning Fund classification https://github.com/filangel/qtrader https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb Reinforcement Learning for Portfolio Management. Fund classification using text mining and NLP. Portfolio Selection and Optimisation Textual 2021-06-15 08:26:52 2021-03-31 02:12:50 366.0 4.0 152.0 3.0 1.0 2017-10-07 09:14:33 2018-04-16 22:18:55 2018-06-26 09:22:27 2018-06-07 22:01:32 filangelos/qtrader frechfrechfrech/Mutual-Fund-Market-Clusters inactive
389 node-finance Accounting Anomalies https://github.com/albertosantini/node-finance https://github.com/GitiHubi/deepAI/blob/master/GTC_2018_Lab-solutions.ipynb NEW Using deep-learning frameworks to identify accounting anomalies. Portfolio Selection and Optimisation Textual 2021-05-27 04:16:16 2021-07-02 01:23:02 105.0 118.0 26.0 52.0 3.0 2.0 2011-09-17 17:49:56 2017-05-24 12:36:38 2021-04-05 08:01:12 2019-08-07 21:47:08 albertosantini/node-finance GitiHubi/deepAI active 37:19.5
390 Distribution Characteristic Optimisation FinNLP-Progress https://github.com/VivekPa/OptimalPortfolio https://github.com/YangLinyi/FinNLP-Progress Extends classical portfolio optimisation to take the skewness and kurtosis of the distribution of market invariants into account. NEW Portfolio Selection and Optimisation Textual 2021-07-01 14:06:29 2021-07-01 13:46:21 245.0 179.0 83.0 22.0 3.0 5.0 2018-11-16 12:20:25 2020-05-21 09:59:56 2021-06-29 04:28:09 2021-06-04 08:29:05 VivekPa/OptimalPortfolio YangLinyi/FinNLP-Progress active 24:28.5
391 Earning call transcripts https://github.com/lin882/WebAnalyticsProject Correlation between mutual fund investment decision and earning call transcripts. Textual 2020-12-17 08:24:20 3.0 3.0 1.0 2017-12-30 08:56:03 2018-01-11 02:11:11 lin882/WebAnalyticsProject inactive
392 Financial Sentiment Analysis https://github.com/EricHe98/Financial-Statements-Text-Analysis Sentiment, distance and proportion analysis for trading signals. Textual 2021-04-30 10:07:46 50.0 27.0 1.0 2017-06-23 00:05:49 2019-01-26 03:35:55 EricHe98/Financial-Statements-Text-Analysis inactive
393 news-emotion Buzzwords https://github.com/dongyuanxin/news-emotion https://github.com/swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds NEW Return performance and mutual fund selection. Textual 2021-06-22 08:14:33 2020-10-06 18:54:58 251.0 1.0 122.0 4.0 1.0 2017-09-14 02:59:03 2018-02-04 21:51:16 2018-06-11 13:47:51 2018-02-04 21:57:09 dongyuanxin/news-emotion swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds inactive 24:28.5
394 BDCI2019-Negative_Finance_Info_Judge https://github.com/A-Rain/BDCI2019-Negative_Finance_Info_Judge NEW Textual 2021-06-07 06:46:18 109.0 24.0 3.0 2019-12-27 03:49:31 2020-12-04 03:38:57 A-Rain/BDCI2019-Negative_Finance_Info_Judge active 24:28.5
395 Financial Statement Sentiment https://github.com/MAydogdu/TextualAnalysis Extracting sentiment from financial statements using neural networks. Textual 2021-05-07 20:35:27 11.0 8.0 1.0 2018-06-04 20:54:14 2018-06-04 20:56:02 MAydogdu/TextualAnalysis inactive
396 Extensive NLP https://github.com/TiesdeKok/Python_NLP_Tutorial/blob/master/NLP_Notebook.ipynb Comprehensive NLP techniques for accounting research. Textual 2021-06-20 19:27:08 81.0 45.0 1.0 2017-10-25 07:10:26 2020-06-05 03:28:46 TiesdeKok/Python_NLP_Tutorial active
397 Accounting Anomalies news-emotion https://github.com/GitiHubi/deepAI/blob/master/GTC_2018_Lab-solutions.ipynb https://github.com/dongyuanxin/news-emotion Using deep-learning frameworks to identify accounting anomalies. NEW Textual 2021-07-02 01:23:02 2021-06-22 08:14:33 118.0 251.0 52.0 122.0 2.0 1.0 2017-05-24 12:36:38 2017-09-14 02:59:03 2019-08-07 21:47:08 2018-06-11 13:47:51 GitiHubi/deepAI dongyuanxin/news-emotion active inactive 24:28.5
FinNLP-Progress https://github.com/YangLinyi/FinNLP-Progress NEW Textual 2021-07-01 13:46:21 179.0 22.0 5.0 2020-05-21 09:59:56 2021-06-04 08:29:05 YangLinyi/FinNLP-Progress active 24:28.5
NLP Event https://github.com/yuriak/DLQuant Applying Deep Learning and NLP in Quantitative Trading. Textual 2021-06-11 05:42:05 72.0 32.0 1.0 2018-07-02 23:50:52 2019-01-31 14:08:20 yuriak/DLQuant inactive
financial-news-dataset https://github.com/philipperemy/financial-news-dataset NEW Textual 2021-06-24 10:04:05 158.0 77.0 1.0 2016-08-23 13:29:07 2021-03-04 06:34:24 philipperemy/financial-news-dataset active 24:28.5
NLP https://github.com/toamitesh/NLPinFinance This project assembles a lot of NLP operations needed for finance domain. Textual toamitesh/NLPinFinance
Buzzwords https://github.com/swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds Return performance and mutual fund selection. Textual 2020-10-06 18:54:58 1.0 4.0 1.0 2018-02-04 21:51:16 2018-02-04 21:57:09 swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds inactive
awesome-financial-nlp https://github.com/icoxfog417/awesome-financial-nlp NEW Textual 2021-06-23 19:16:06 240.0 39.0 2.0 2019-10-03 03:53:20 2020-02-01 08:28:16 icoxfog417/awesome-financial-nlp active 24:28.5
Fund classification https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb Fund classification using text mining and NLP. Textual 2021-03-31 02:12:50 4.0 3.0 1.0 2018-04-16 22:18:55 2018-06-07 22:01:32 frechfrechfrech/Mutual-Fund-Market-Clusters inactive
FinBERT https://github.com/psnonis/FinBERT NEW Textual 2021-06-30 13:23:44 145.0 48.0 3.0 2019-07-09 16:34:27 2020-05-19 02:02:20 psnonis/FinBERT active 24:28.5
398 Eigen-Portfolio https://github.com/Gustrigos/Eigen-Portfolio NEW Unsupervised 2021-05-30 13:10:42 38.0 11.0 1.0 2018-09-05 05:29:18 2020-04-09 21:40:04 Gustrigos/Eigen-Portfolio active 24:29.9
399 hmm_market_behavior https://github.com/lamres/hmm_market_behavior NEW Unsupervised 2021-02-20 07:43:59 25.0 18.0 1.0 2019-09-08 17:37:39 2020-05-10 14:36:03 lamres/hmm_market_behavior active 24:29.9
400 Stock_Support_Resistance_ML https://github.com/judopro/Stock_Support_Resistance_ML NEW Unsupervised 2021-07-01 21:41:16 21.0 18.0 1.0 2019-12-22 20:25:48 2021-05-02 04:25:21 judopro/Stock_Support_Resistance_ML active 2021-05-07 01:53:28.160570
all-classification-templetes-for-ML https://github.com/sayantann11/all-classification-templetes-for-ML NEW Unsupervised 2021-07-01 08:02:09 32.0 14.0 1.0 2020-05-05 10:28:52 2020-05-05 10:30:32 sayantann11/all-classification-templetes-for-ML active 24:29.9
401 PCA Pairs Trading https://github.com/joelQF/quant-finance/tree/master/Artificial_IntelIigence_for_Trading PCA, Factor Returns, and trading strategies. Unsupervised joelQF/quant-finance
402 Credit-Card-Fraud-Detection https://github.com/sharmaroshan/Credit-Card-Fraud-Detection NEW Unsupervised 2020-12-28 10:41:20 10.0 5.0 1.0 2019-03-31 05:33:17 2019-03-31 05:38:43 sharmaroshan/Credit-Card-Fraud-Detection inactive 24:29.9
403 AnomalyDetectionOnRisk https://github.com/SimonWesterlindVPD/AnomalyDetectionOnRisk NEW Unsupervised 2021-05-19 11:40:07 12.0 5.0 1.0 2018-05-31 15:53:02 2018-05-31 16:18:28 SimonWesterlindVPD/AnomalyDetectionOnRisk inactive 24:29.9
406 Industry Clustering https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries Clustering of industries. Unsupervised 2020-10-06 18:51:22 4.0 6.0 1.0 2017-07-21 02:12:51 2017-07-23 02:53:37 SeanMcOwen/FinanceAndPython.com-ClusteringIndustries inactive
407 Pairs Trading https://github.com/marketneutral/pairs-trading-with-ML/blob/master/Pairs%2BTrading%2Bwith%2BMachine%2BLearning.ipynb Finding pairs with cluster analysis. Unsupervised 2021-06-08 10:54:06 85.0 40.0 0.0 2017-09-05 19:19:19 2017-09-27 20:42:14 marketneutral/pairs-trading-with-ML inactive
408 Fund Clusters https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb Data exploration of fund clusters. Unsupervised 2021-03-31 02:12:50 4.0 3.0 1.0 2018-04-16 22:18:55 2018-06-07 22:01:32 frechfrechfrech/Mutual-Fund-Market-Clusters inactive
409 all-classification-templetes-for-ML https://github.com/sayantann11/all-classification-templetes-for-ML NEW Unsupervised 2021-07-01 08:02:09 32.0 14.0 1.0 2020-05-05 10:28:52 2020-05-05 10:30:32 sayantann11/all-classification-templetes-for-ML active 24:29.9