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@@ -11,107 +11,133 @@ Watch Valuation,https://github.com/alporter08/Luxury-Watch-Valuation/blob/master
VC OLS,https://github.com/fionawhitefield/venture-capital-ols/blob/master/sec_project.ipynb,VC regression.,Alternative Finance,2020-10-06 20:56:14,2.0,1.0,1.0,2018-03-29 23:31:13,2018-03-29 23:33:19,fionawhitefield/venture-capital-ols,inactive,,
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,,
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,,,,,,,,,,
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,,,,,,,,,,
NYU Courant,https://cims.nyu.edu/,"Courant Institute of Mathematical Sciences, New York University",Colleges Centers and Departments,,,,,,,,,,
coursera-deep-learning-specialization,https://github.com/amanchadha/coursera-deep-learning-specialization,NEW,Courses,2021-04-18 00:23:35,232.0,251.0,1.0,2020-06-24 05:59:01,2021-04-03 23:18:17,amanchadha/coursera-deep-learning-specialization,active,,2021-04-19 01:25:20.750834
stanford-cs229,https://github.com/zyxue/stanford-cs229,NEW,Courses,2021-04-16 07:56:54,506.0,288.0,2.0,2017-10-31 23:01:08,2020-01-14 03:24:16,zyxue/stanford-cs229,active,,2021-04-19 01:25:20.750834
CourseraML,https://github.com/kaleko/CourseraML,NEW,Courses,2021-04-18 19:11:48,1873.0,773.0,0.0,2015-12-08 00:03:22,2018-10-30 23:49:56,kaleko/CourseraML,inactive,,2021-04-19 01:25:20.750834
stanford-cs231,https://github.com/machinelearningnanodegree/stanford-cs231,NEW,Courses,2021-04-17 20:35:55,249.0,123.0,4.0,2016-09-05 01:40:41,2017-02-03 16:46:46,machinelearningnanodegree/stanford-cs231,inactive,,2021-04-19 01:25:20.750834
courses,https://github.com/DataScienceSpecialization/courses,NEW,Courses,2021-04-16 09:11:32,3753.0,30730.0,13.0,2014-01-21 10:22:57,2016-03-16 12:13:44,DataScienceSpecialization/courses,inactive,,2021-04-19 01:25:20.750834
DataCamp,https://github.com/wblakecannon/DataCamp,NEW,Courses,2021-04-18 21:19:17,1136.0,1348.0,28.0,2017-09-18 20:51:08,2020-10-01 20:13:05,wblakecannon/DataCamp,active,,2021-04-19 01:25:20.750834
DataScienceSpCourseNotes,https://github.com/sux13/DataScienceSpCourseNotes,NEW,Courses,2021-04-13 15:53:08,706.0,2405.0,10.0,2015-03-09 00:51:32,2016-02-16 06:12:54,sux13/DataScienceSpCourseNotes,inactive,,2021-04-19 01:25:20.750834
DataScienceCourse,https://github.com/briandalessandro/DataScienceCourse,NEW,Courses,2021-04-18 16:05:54,577.0,735.0,13.0,2014-10-01 08:45:51,2020-12-20 13:03:56,briandalessandro/DataScienceCourse,active,,2021-04-19 01:25:20.750834
competitive-data-science,https://github.com/hse-aml/competitive-data-science,NEW,Courses,2021-04-18 22:14:47,558.0,570.0,9.0,2017-10-28 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,2021-04-12 04:45:56,899.0,2443.0,6.0,2013-04-12 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,2021-04-19 00:54:51,644.0,247.0,15.0,2017-12-29 22:16:17,2021-03-26 20:52:29,rstudio-education/datascience-box,active,,2021-04-19 01:25:20.750834
DAT8,https://github.com/justmarkham/DAT8,NEW,Courses,2021-04-09 17:41:18,1490.0,967.0,1.0,2015-08-07 03:35:51,2016-04-18 18:34:09,justmarkham/DAT8,inactive,,2021-04-19 01:25:20.750834
Data-Science-Free,https://github.com/frontbenchHQ/Data-Science-Free,NEW,Courses,2021-02-20 18:17:39,232.0,162.0,4.0,2019-02-10 14:29:29,2020-07-13 06:36:25,frontbenchHQ/Data-Science-Free,active,,2021-04-19 01:25:20.750834
Cornell University,https://www.cornell.edu/,,Colleges Centers and Departments,,,,,,,,,,
Stanford Advanced Financial Technologies,https://fintech.stanford.edu/,Stanford Advanced Financial Technologies Laboratory,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,,,,,,,,,,
Artificial-Intelligence-and-Machine-Learning,https://github.com/emilmont/Artificial-Intelligence-and-Machine-Learning,NEW,Courses,2021-04-14 05:36:35,514.0,299.0,1.0,2011-10-16 22:51:06,2013-07-20 18:21:51,emilmont/Artificial-Intelligence-and-Machine-Learning,inactive,,2021-04-19 01:25:20.750834
ppd599,https://github.com/gboeing/ppd599,NEW,Courses,2021-04-17 09:35:55,1069.0,455.0,1.0,2015-09-01 19:59:59,2021-04-14 20:40:20,gboeing/ppd599,active,,2021-04-19 01:25:20.750834
MTH594_MachineLearning,https://github.com/diefimov/MTH594_MachineLearning,NEW,Courses,2021-04-05 20:59:08,328.0,135.0,1.0,2016-03-09 07:35:19,2017-03-31 21:46:26,diefimov/MTH594_MachineLearning,inactive,,2021-04-19 01:25:20.750834
ml-mipt,https://github.com/girafe-ai/ml-mipt,NEW,Courses,2021-04-18 12:22:27,509.0,374.0,7.0,2019-02-01 16:20:39,2020-11-04 10:56:04,girafe-ai/ml-mipt,active,,2021-04-19 01:25:20.750834
machine-learning-coursera,https://github.com/yhyap/machine-learning-coursera,NEW,Courses,2020-09-27 02:25:20,231.0,195.0,1.0,2013-05-03 09:41:53,2013-05-05 11:58:38,yhyap/machine-learning-coursera,inactive,,2021-04-19 01:25:20.750834
Play-with-Machine-Learning-Algorithms,https://github.com/liuyubobobo/Play-with-Machine-Learning-Algorithms,NEW,Courses,2021-04-17 07:31:08,1044.0,563.0,1.0,2017-10-17 23:13:24,2020-11-10 08:26:50,liuyubobobo/Play-with-Machine-Learning-Algorithms,active,,2021-04-19 01:25:20.750834
stat479-machine-learning-fs19,https://github.com/rasbt/stat479-machine-learning-fs19,NEW,Courses,2021-03-29 01:40:00,651.0,224.0,1.0,2019-08-07 07:36:20,2020-11-28 00:04:07,rasbt/stat479-machine-learning-fs19,active,,2021-04-19 01:25:20.750834
zero-to-mastery-ml,https://github.com/mrdbourke/zero-to-mastery-ml,NEW,Courses,2021-04-18 23:46:43,686.0,1171.0,14.0,2019-09-23 04:56:51,2021-04-13 06:55:10,mrdbourke/zero-to-mastery-ml,active,,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,2021-04-18 12:11:32,237.0,198.0,1.0,2018-12-06 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,2021-03-31 05:34:25,373.0,331.0,1.0,2016-08-20 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,2021-04-18 19:59:17,235.0,87.0,4.0,2018-04-09 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,2021-04-17 15:51:19,644.0,509.0,29.0,2016-07-13 15:37:38,2021-01-31 23:50:35,epfml/ML_course,active,,2021-04-19 01:25:20.750834
Stanford-Machine-Learning-Course,https://github.com/zhouxc/Stanford-Machine-Learning-Course,NEW,Courses,2021-04-15 22:10:59,513.0,365.0,1.0,2011-12-25 10:00:48,2011-12-25 10:01:12,zhouxc/Stanford-Machine-Learning-Course,inactive,,2021-04-19 01:25:20.750834
machine-learning-coursera-1,https://github.com/Borye/machine-learning-coursera-1,NEW,Courses,2021-04-17 00:15:49,1096.0,936.0,1.0,2014-08-28 10:48:18,2014-06-17 10:37:27,Borye/machine-learning-coursera-1,inactive,,2021-04-19 01:25:20.750834
stat479-machine-learning-fs18,https://github.com/rasbt/stat479-machine-learning-fs18,NEW,Courses,2021-04-17 11:25:37,419.0,207.0,1.0,2018-09-06 00:30:56,2018-12-20 23:45:13,rasbt/stat479-machine-learning-fs18,inactive,,2021-04-19 01:25:20.750834
Introduction-to-Machine-Learning,https://github.com/codeheroku/Introduction-to-Machine-Learning,NEW,Courses,2021-04-13 04:36:02,272.0,748.0,3.0,2019-02-09 12:07:52,2020-11-28 08:44:08,codeheroku/Introduction-to-Machine-Learning,active,,2021-04-19 01:25:20.750834
ciml,https://github.com/hal3/ciml,NEW,Courses,2021-04-14 13:57:24,775.0,219.0,2.0,2015-08-12 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,2021-03-19 00:43:30,227.0,196.0,1.0,2015-05-16 02:29:54,2016-03-18 16:20:30,justmarkham/DAT7,inactive,,2021-04-19 01:25:20.750834
mlcourse.ai,https://github.com/Yorko/mlcourse.ai,NEW,Courses,2021-04-18 13:16:05,7581.0,5000.0,190.0,2017-02-27 08:32:20,2021-02-09 10:19:15,Yorko/mlcourse.ai,active,,2021-04-19 01:25:20.750834
Udemy---Machine-Learning,https://github.com/jmportilla/Udemy---Machine-Learning,NEW,Courses,2021-03-31 17:57:54,206.0,405.0,3.0,2015-04-27 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,2021-04-18 14:47:10,2391.0,828.0,11.0,2018-05-09 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,2021-04-16 13:37:44,255.0,474.0,3.0,2018-07-18 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,2021-04-15 19:46:26,290.0,2573.0,1.0,2019-01-09 20:30:46,2020-03-15 18:20:30,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,2021-04-19 00:35:42,10477.0,1933.0,30.0,2015-02-22 23:48:16,2021-03-15 05:34:55,hangtwenty/dive-into-machine-learning,active,,2021-04-19 01:25:20.750834
machine-learning-course,https://github.com/instillai/machine-learning-course,NEW,Courses,2021-04-18 22:54:06,6638.0,1217.0,9.0,2019-02-15 00:23:19,2020-04-21 03:19:12,instillai/machine-learning-course,active,,2021-04-19 01:25:20.750834
Coursera-Stanford-ML-Python,https://github.com/mstampfer/Coursera-Stanford-ML-Python,NEW,Courses,2021-04-18 21:39:26,404.0,233.0,3.0,2015-10-28 19:51:00,2016-09-02 00:21:30,mstampfer/Coursera-Stanford-ML-Python,inactive,,2021-04-19 01:25:20.750834
mlcourse,https://github.com/davidrosenberg/mlcourse,NEW,Courses,2021-04-16 07:44:40,395.0,215.0,9.0,2015-10-11 22:18:25,2021-03-14 01:19:08,davidrosenberg/mlcourse,active,,2021-04-19 01:25:20.750834
awesome-ml-courses,https://github.com/luspr/awesome-ml-courses,NEW,Courses,2021-04-17 17:25:58,1975.0,212.0,4.0,2020-05-08 20:41:59,2021-02-18 20:26:31,luspr/awesome-ml-courses,active,,2021-04-19 01:25:20.750834
ml-course-msu,https://github.com/esokolov/ml-course-msu,NEW,Courses,2021-04-16 09:55:19,765.0,303.0,1.0,2015-09-11 08:51:24,2018-05-07 15:40:56,esokolov/ml-course-msu,inactive,,2021-04-19 01:25:20.750834
master,https://github.com/ML-course/master,NEW,Courses,2021-04-14 19:46:17,303.0,172.0,11.0,2017-02-04 22:44:35,2021-04-13 10:56:33,ML-course/master,active,,2021-04-19 01:25:20.750834
JSE_OkCupid,https://github.com/rudeboybert/JSE_OkCupid,NEW,Courses,2021-04-18 15:54:24,207.0,62.0,1.0,2015-03-28 08:38:27,2021-04-18 15:53:40,rudeboybert/JSE_OkCupid,active,,2021-04-19 01:25:20.750834
DP100,https://github.com/MicrosoftLearning/DP100,NEW,Courses,2021-04-08 04:21:01,497.0,496.0,2.0,2020-01-06 20:38:41,2020-12-30 17:22:42,MicrosoftLearning/DP100,active,,2021-04-19 01:25:20.750834
2014,https://github.com/cs109/2014,NEW,Courses,2021-03-17 22:43:04,308.0,764.0,4.0,2014-07-21 22:46:20,2014-12-17 14:37:02,cs109/2014,inactive,,2021-04-19 01:25:20.750834
MachineLearningWithPython,https://github.com/JerryKurata/MachineLearningWithPython,NEW,Courses,2021-04-18 14:23:32,226.0,339.0,1.0,2016-04-24 21:20:10,2021-04-15 18:17:30,JerryKurata/MachineLearningWithPython,active,,2021-04-19 01:25:20.750834
DAT3,https://github.com/justmarkham/DAT3,NEW,Courses,2021-04-15 05:33:56,620.0,373.0,4.0,2014-09-18 20:30:19,2020-05-19 09:21:02,justmarkham/DAT3,active,,2021-04-19 01:25:20.750834
machine-learning-notebooks,https://github.com/krasserm/machine-learning-notebooks,NEW,Courses,2021-04-18 23:04:06,284.0,125.0,1.0,2017-07-24 10:21:05,2020-09-07 12:48:43,krasserm/machine-learning-notebooks,active,,2021-04-19 01:25:20.750834
DAT4,https://github.com/justmarkham/DAT4,NEW,Courses,2021-04-11 00:18:13,749.0,648.0,3.0,2014-12-10 19:38:29,2021-02-15 23:26:27,justmarkham/DAT4,active,,2021-04-19 01:25:20.750834
causalML,https://github.com/altdeep/causalML,NEW,Courses,2021-04-18 17:56:06,391.0,121.0,32.0,2018-12-17 05:22:47,2021-04-15 20:37:28,altdeep/causalML,active,,2021-04-19 01:25:20.750834
datasciencecoursera,https://github.com/mGalarnyk/datasciencecoursera,NEW,Courses,2021-04-18 08:46:44,1730.0,1777.0,8.0,2016-12-27 03:59:24,2021-02-19 04:16:58,mGalarnyk/datasciencecoursera,active,,2021-04-19 01:25:20.750834
Data-Science-Free,https://github.com/frontbenchHQ/Data-Science-Free,NEW,Courses,2021-02-20 18:17:39,232.0,162.0,4.0,2019-02-10 14:29:29,2020-07-13 06:36:25,frontbenchHQ/Data-Science-Free,active,,2021-04-19 01:25:20.750834
DAT8,https://github.com/justmarkham/DAT8,NEW,Courses,2021-04-09 17:41:18,1490.0,967.0,1.0,2015-08-07 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,2021-04-19 00:54:51,644.0,247.0,15.0,2017-12-29 22:16:17,2021-03-26 20:52:29,rstudio-education/datascience-box,active,,2021-04-19 01:25:20.750834
datasci_course_materials,https://github.com/uwescience/datasci_course_materials,NEW,Courses,2021-04-12 04:45:56,899.0,2443.0,6.0,2013-04-12 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,2021-04-18 22:14:47,558.0,570.0,9.0,2017-10-28 14:56:44,2020-06-13 13:44:26,hse-aml/competitive-data-science,active,,2021-04-19 01:25:20.750834
DataScienceCourse,https://github.com/briandalessandro/DataScienceCourse,NEW,Courses,2021-04-18 16:05:54,577.0,735.0,13.0,2014-10-01 08:45:51,2020-12-20 13:03:56,briandalessandro/DataScienceCourse,active,,2021-04-19 01:25:20.750834
DataScienceSpCourseNotes,https://github.com/sux13/DataScienceSpCourseNotes,NEW,Courses,2021-04-13 15:53:08,706.0,2405.0,10.0,2015-03-09 00:51:32,2016-02-16 06:12:54,sux13/DataScienceSpCourseNotes,inactive,,2021-04-19 01:25:20.750834
DataCamp,https://github.com/wblakecannon/DataCamp,NEW,Courses,2021-04-18 21:19:17,1136.0,1348.0,28.0,2017-09-18 20:51:08,2020-10-01 20:13:05,wblakecannon/DataCamp,active,,2021-04-19 01:25:20.750834
courses,https://github.com/DataScienceSpecialization/courses,NEW,Courses,2021-04-16 09:11:32,3753.0,30730.0,13.0,2014-01-21 10:22:57,2016-03-16 12:13:44,DataScienceSpecialization/courses,inactive,,2021-04-19 01:25:20.750834
stanford-cs231,https://github.com/machinelearningnanodegree/stanford-cs231,NEW,Courses,2021-04-17 20:35:55,249.0,123.0,4.0,2016-09-05 01:40:41,2017-02-03 16:46:46,machinelearningnanodegree/stanford-cs231,inactive,,2021-04-19 01:25:20.750834
CourseraML,https://github.com/kaleko/CourseraML,NEW,Courses,2021-04-18 19:11:48,1873.0,773.0,0.0,2015-12-08 00:03:22,2018-10-30 23:49:56,kaleko/CourseraML,inactive,,2021-04-19 01:25:20.750834
stanford-cs229,https://github.com/zyxue/stanford-cs229,NEW,Courses,2021-04-16 07:56:54,506.0,288.0,2.0,2017-10-31 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,2021-04-18 00:23:35,232.0,251.0,1.0,2020-06-24 05:59:01,2021-04-03 23:18:17,amanchadha/coursera-deep-learning-specialization,active,,2021-04-19 01:25:20.750834
china-dictatorship,https://github.com/cirosantilli/china-dictatorship,NEW,Courses,2021-04-18 18:21:14,378.0,33.0,4.0,2015-04-02 20:51:50,2021-04-18 04:00:03,cirosantilli/china-dictatorship,active,,2021-04-19 01:25:20.750834
ml-workspace,https://github.com/AdicherlaVenkataSai/ml-workspace,NEW,Courses,2021-04-10 18:14:15,227.0,74.0,1.0,2020-07-10 06:38:10,2020-09-23 18:16:09,AdicherlaVenkataSai/ml-workspace,active,,2021-04-19 01:25:20.750834
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,2021-04-17 23:50:35,3908.0,1249.0,8.0,2018-05-09 12:33:08,2021-04-10 22:21:29,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,2021-04-12 02:11:07,454.0,565.0,2.0,2017-03-02 13:10:27,2017-12-14 20:46:54,datacamp/course-resources-ml-with-experts-budgets,inactive,,2021-04-19 01:25:20.750834
datasciencecoursera,https://github.com/mGalarnyk/datasciencecoursera,NEW,Courses,2021-04-18 08:46:44,1730.0,1777.0,8.0,2016-12-27 03:59:24,2021-02-19 04:16:58,mGalarnyk/datasciencecoursera,active,,2021-04-19 01:25:20.750834
ML Specialisation,https://github.com/Ahmed0028/Machine-Learning-and-Reinforcement-Learning-in-Finance-Specialization,Machine Learning in Finance.,Courses,2021-04-05 13:37:33,34.0,32.0,1.0,2019-01-24 02:55:01,2020-01-03 21:54:16,Ahmed0028/Machine-Learning-and-Reinforcement-Learning-in-Finance-Specialization,active,,
Basic Investments,https://github.com/SeanMcOwen/FinanceAndPython.com-Investments,Basic investment tools in python.,Courses,2021-03-23 06:32:10,9.0,5.0,1.0,2017-08-02 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,2021-04-15 14:09:10,122.0,111.0,3.0,2018-08-20 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,2020-11-12 00:49:51,6.0,5.0,3.0,2018-10-03 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,2021-03-12 11:02:04,64.0,25.0,1.0,2017-10-29 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,2021-03-31 02:08:55,16.0,15.0,4.0,2017-12-12 11:54:46,2020-02-25 20:31:41,siaen/python_finance_course,active,,
Mathematical Finance,https://github.com/yadongli/nyumath2048,NYU Math-GA 2048: Scientific Computing in Finance.,Courses,2021-04-16 01:56:01,70.0,63.0,6.0,2015-01-25 21:10:37,2020-03-25 04:24:25,yadongli/nyumath2048,active,,
PythonNumericalDemos,https://github.com/GeostatsGuy/PythonNumericalDemos,NEW,Courses,2021-04-18 13:45:53,244.0,186.0,1.0,2017-10-13 15:44:06,2021-04-09 17:26:10,GeostatsGuy/PythonNumericalDemos,active,,2021-04-19 01:25:20.750834
Octave,https://github.com/schneems/Octave,NEW,Courses,2021-04-12 17:53:13,773.0,489.0,1.0,2011-10-24 23:50:52,2016-07-08 20:45:40,schneems/Octave,inactive,,2021-04-19 01:25:20.750834
OptML_course,https://github.com/epfml/OptML_course,NEW,Courses,2021-04-18 23:16:47,434.0,140.0,9.0,2018-02-21 19:06:55,2021-04-18 17:30:11,epfml/OptML_course,active,,2021-04-19 01:25:20.750834
PyMLSlides,https://github.com/dmitriydligach/PyMLSlides,NEW,Courses,2021-04-15 12:08:19,252.0,116.0,0.0,2017-06-05 13:59:15,2020-10-06 21:34:43,dmitriydligach/PyMLSlides,active,,2021-04-19 01:25:20.750834
Intro,https://github.com/rstudio/Intro,NEW,Courses,2021-03-16 01:11:50,229.0,297.0,1.0,2014-11-11 20:45:33,2014-11-12 13:42:32,rstudio/Intro,inactive,,2021-04-19 01:25:20.750834
python-seminar,https://github.com/profjsb/python-seminar,NEW,Courses,2021-02-07 14:03:41,302.0,146.0,11.0,2012-08-23 03:30:01,2020-04-30 20:43:47,profjsb/python-seminar,active,,2021-04-19 01:25:20.750834
course-resources-ml-with-experts-budgets,https://github.com/datacamp/course-resources-ml-with-experts-budgets,NEW,Courses,2021-04-12 02:11:07,454.0,565.0,2.0,2017-03-02 13:10:27,2017-12-14 20:46:54,datacamp/course-resources-ml-with-experts-budgets,inactive,,2021-04-19 01:25:20.750834
DataScience,https://github.com/JuliaAcademy/DataScience,NEW,Courses,2021-04-18 21:51:38,249.0,137.0,5.0,2020-05-21 01:26:52,2021-02-11 15:55:33,JuliaAcademy/DataScience,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 02:09:16,10.0,8.0,1.0,2017-05-06 02:39:05,2017-06-21 04:04:09,SeanMcOwen/FinanceAndPython.com-BasicFinance,inactive,,
python-seminar,https://github.com/profjsb/python-seminar,NEW,Courses,2021-02-07 14:03:41,302.0,146.0,11.0,2012-08-23 03:30:01,2020-04-30 20:43:47,profjsb/python-seminar,active,,2021-04-19 01:25:20.750834
Intro,https://github.com/rstudio/Intro,NEW,Courses,2021-03-16 01:11:50,229.0,297.0,1.0,2014-11-11 20:45:33,2014-11-12 13:42:32,rstudio/Intro,inactive,,2021-04-19 01:25:20.750834
PyMLSlides,https://github.com/dmitriydligach/PyMLSlides,NEW,Courses,2021-04-15 12:08:19,252.0,116.0,0.0,2017-06-05 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,2021-04-18 23:16:47,434.0,140.0,9.0,2018-02-21 19:06:55,2021-04-18 17:30:11,epfml/OptML_course,active,,2021-04-19 01:25:20.750834
Octave,https://github.com/schneems/Octave,NEW,Courses,2021-04-12 17:53:13,773.0,489.0,1.0,2011-10-24 23:50:52,2016-07-08 20:45:40,schneems/Octave,inactive,,2021-04-19 01:25:20.750834
PythonNumericalDemos,https://github.com/GeostatsGuy/PythonNumericalDemos,NEW,Courses,2021-04-18 13:45:53,244.0,186.0,1.0,2017-10-13 15:44:06,2021-04-09 17:26:10,GeostatsGuy/PythonNumericalDemos,active,,2021-04-19 01:25:20.750834
DAT4,https://github.com/justmarkham/DAT4,NEW,Courses,2021-04-11 00:18:13,749.0,648.0,3.0,2014-12-10 19:38:29,2021-02-15 23:26:27,justmarkham/DAT4,active,,2021-04-19 01:25:20.750834
china-dictatorship,https://github.com/cirosantilli/china-dictatorship,NEW,Courses,2021-04-18 18:21:14,378.0,33.0,4.0,2015-04-02 20:51:50,2021-04-18 04:00:03,cirosantilli/china-dictatorship,active,,2021-04-19 01:25:20.750834
DAT3,https://github.com/justmarkham/DAT3,NEW,Courses,2021-04-15 05:33:56,620.0,373.0,4.0,2014-09-18 20:30:19,2020-05-19 09:21:02,justmarkham/DAT3,active,,2021-04-19 01:25:20.750834
mlcourse,https://github.com/davidrosenberg/mlcourse,NEW,Courses,2021-04-16 07:44:40,395.0,215.0,9.0,2015-10-11 22:18:25,2021-03-14 01:19:08,davidrosenberg/mlcourse,active,,2021-04-19 01:25:20.750834
Stanford-Machine-Learning-Course,https://github.com/zhouxc/Stanford-Machine-Learning-Course,NEW,Courses,2021-04-15 22:10:59,513.0,365.0,1.0,2011-12-25 10:00:48,2011-12-25 10:01:12,zhouxc/Stanford-Machine-Learning-Course,inactive,,2021-04-19 01:25:20.750834
ML_course,https://github.com/epfml/ML_course,NEW,Courses,2021-04-17 15:51:19,644.0,509.0,29.0,2016-07-13 15:37:38,2021-01-31 23:50:35,epfml/ML_course,active,,2021-04-19 01:25:20.750834
machine-learning-resources,https://github.com/datascienceid/machine-learning-resources,NEW,Courses,2021-04-18 19:59:17,235.0,87.0,4.0,2018-04-09 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,2021-03-31 05:34:25,373.0,331.0,1.0,2016-08-20 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,2021-04-18 12:11:32,237.0,198.0,1.0,2018-12-06 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
stat479-machine-learning-fs18,https://github.com/rasbt/stat479-machine-learning-fs18,NEW,Courses,2021-04-17 11:25:37,419.0,207.0,1.0,2018-09-06 00:30:56,2018-12-20 23:45:13,rasbt/stat479-machine-learning-fs18,inactive,,2021-04-19 01:25:20.750834
zero-to-mastery-ml,https://github.com/mrdbourke/zero-to-mastery-ml,NEW,Courses,2021-04-18 23:46:43,686.0,1171.0,14.0,2019-09-23 04:56:51,2021-04-13 06:55:10,mrdbourke/zero-to-mastery-ml,active,,2021-04-19 01:25:20.750834
stat479-machine-learning-fs19,https://github.com/rasbt/stat479-machine-learning-fs19,NEW,Courses,2021-03-29 01:40:00,651.0,224.0,1.0,2019-08-07 07:36:20,2020-11-28 00:04:07,rasbt/stat479-machine-learning-fs19,active,,2021-04-19 01:25:20.750834
Play-with-Machine-Learning-Algorithms,https://github.com/liuyubobobo/Play-with-Machine-Learning-Algorithms,NEW,Courses,2021-04-17 07:31:08,1044.0,563.0,1.0,2017-10-17 23:13:24,2020-11-10 08:26:50,liuyubobobo/Play-with-Machine-Learning-Algorithms,active,,2021-04-19 01:25:20.750834
machine-learning-coursera,https://github.com/yhyap/machine-learning-coursera,NEW,Courses,2020-09-27 02:25:20,231.0,195.0,1.0,2013-05-03 09:41:53,2013-05-05 11:58:38,yhyap/machine-learning-coursera,inactive,,2021-04-19 01:25:20.750834
machine-learning-notebooks,https://github.com/krasserm/machine-learning-notebooks,NEW,Courses,2021-04-18 23:04:06,284.0,125.0,1.0,2017-07-24 10:21:05,2020-09-07 12:48:43,krasserm/machine-learning-notebooks,active,,2021-04-19 01:25:20.750834
ml-mipt,https://github.com/girafe-ai/ml-mipt,NEW,Courses,2021-04-18 12:22:27,509.0,374.0,7.0,2019-02-01 16:20:39,2020-11-04 10:56:04,girafe-ai/ml-mipt,active,,2021-04-19 01:25:20.750834
MTH594_MachineLearning,https://github.com/diefimov/MTH594_MachineLearning,NEW,Courses,2021-04-05 20:59:08,328.0,135.0,1.0,2016-03-09 07:35:19,2017-03-31 21:46:26,diefimov/MTH594_MachineLearning,inactive,,2021-04-19 01:25:20.750834
ppd599,https://github.com/gboeing/ppd599,NEW,Courses,2021-04-17 09:35:55,1069.0,455.0,1.0,2015-09-01 19:59:59,2021-04-14 20:40:20,gboeing/ppd599,active,,2021-04-19 01:25:20.750834
Artificial-Intelligence-and-Machine-Learning,https://github.com/emilmont/Artificial-Intelligence-and-Machine-Learning,NEW,Courses,2021-04-14 05:36:35,514.0,299.0,1.0,2011-10-16 22:51:06,2013-07-20 18:21:51,emilmont/Artificial-Intelligence-and-Machine-Learning,inactive,,2021-04-19 01:25:20.750834
machine-learning-coursera-1,https://github.com/Borye/machine-learning-coursera-1,NEW,Courses,2021-04-17 00:15:49,1096.0,936.0,1.0,2014-08-28 10:48:18,2014-06-17 10:37:27,Borye/machine-learning-coursera-1,inactive,,2021-04-19 01:25:20.750834
Introduction-to-Machine-Learning,https://github.com/codeheroku/Introduction-to-Machine-Learning,NEW,Courses,2021-04-13 04:36:02,272.0,748.0,3.0,2019-02-09 12:07:52,2020-11-28 08:44:08,codeheroku/Introduction-to-Machine-Learning,active,,2021-04-19 01:25:20.750834
MachineLearningWithPython,https://github.com/JerryKurata/MachineLearningWithPython,NEW,Courses,2021-04-18 14:23:32,226.0,339.0,1.0,2016-04-24 21:20:10,2021-04-15 18:17:30,JerryKurata/MachineLearningWithPython,active,,2021-04-19 01:25:20.750834
DAT7,https://github.com/justmarkham/DAT7,NEW,Courses,2021-03-19 00:43:30,227.0,196.0,1.0,2015-05-16 02:29:54,2016-03-18 16:20:30,justmarkham/DAT7,inactive,,2021-04-19 01:25:20.750834
2014,https://github.com/cs109/2014,NEW,Courses,2021-03-17 22:43:04,308.0,764.0,4.0,2014-07-21 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,2021-04-08 04:21:01,497.0,496.0,2.0,2020-01-06 20:38:41,2020-12-30 17:22:42,MicrosoftLearning/DP100,active,,2021-04-19 01:25:20.750834
JSE_OkCupid,https://github.com/rudeboybert/JSE_OkCupid,NEW,Courses,2021-04-18 15:54:24,207.0,62.0,1.0,2015-03-28 08:38:27,2021-04-18 15:53:40,rudeboybert/JSE_OkCupid,active,,2021-04-19 01:25:20.750834
master,https://github.com/ML-course/master,NEW,Courses,2021-04-14 19:46:17,303.0,172.0,11.0,2017-02-04 22:44:35,2021-04-13 10:56:33,ML-course/master,active,,2021-04-19 01:25:20.750834
ml-course-msu,https://github.com/esokolov/ml-course-msu,NEW,Courses,2021-04-16 09:55:19,765.0,303.0,1.0,2015-09-11 08:51:24,2018-05-07 15:40:56,esokolov/ml-course-msu,inactive,,2021-04-19 01:25:20.750834
awesome-ml-courses,https://github.com/luspr/awesome-ml-courses,NEW,Courses,2021-04-17 17:25:58,1975.0,212.0,4.0,2020-05-08 20:41:59,2021-02-18 20:26:31,luspr/awesome-ml-courses,active,,2021-04-19 01:25:20.750834
ciml,https://github.com/hal3/ciml,NEW,Courses,2021-04-14 13:57:24,775.0,219.0,2.0,2015-08-12 19:26:00,2017-01-20 16:24:19,hal3/ciml,inactive,,2021-04-19 01:25:20.750834
Coursera-Stanford-ML-Python,https://github.com/mstampfer/Coursera-Stanford-ML-Python,NEW,Courses,2021-04-18 21:39:26,404.0,233.0,3.0,2015-10-28 19:51:00,2016-09-02 00:21:30,mstampfer/Coursera-Stanford-ML-Python,inactive,,2021-04-19 01:25:20.750834
machine-learning-course,https://github.com/instillai/machine-learning-course,NEW,Courses,2021-04-18 22:54:06,6638.0,1217.0,9.0,2019-02-15 00:23:19,2020-04-21 03:19:12,instillai/machine-learning-course,active,,2021-04-19 01:25:20.750834
dive-into-machine-learning,https://github.com/hangtwenty/dive-into-machine-learning,NEW,Courses,2021-04-19 00:35:42,10477.0,1933.0,30.0,2015-02-22 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,2021-04-15 19:46:26,290.0,2573.0,1.0,2019-01-09 20:30:46,2020-03-15 18:20:30,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,2021-04-16 13:37:44,255.0,474.0,3.0,2018-07-18 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,2021-04-18 14:47:10,2391.0,828.0,11.0,2018-05-09 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,2021-03-31 17:57:54,206.0,405.0,3.0,2015-04-27 22:44:40,2016-07-06 23:58:33,jmportilla/Udemy---Machine-Learning,inactive,,2021-04-19 01:25:20.750834
mlcourse.ai,https://github.com/Yorko/mlcourse.ai,NEW,Courses,2021-04-18 13:16:05,7581.0,5000.0,190.0,2017-02-27 08:32:20,2021-02-09 10:19:15,Yorko/mlcourse.ai,active,,2021-04-19 01:25:20.750834
Employee Count SEC Filings,https://github.com/healthgradient/sec_employee_information_extraction,,Data,2021-02-27 03:33:31,10.0,2.0,1.0,2018-06-26 23:33:51,2018-08-14 01:31:13,healthgradient/sec_employee_information_extraction,inactive,,
IRS,http://social-metrics.org/sox/,,Data,,,,,,,,,,
EDGAR,https://github.com/TiesdeKok/UW_Python_Camp/blob/master/Materials/Session_5/EDGAR_walkthrough.ipynb,,Data,2021-01-23 19:22:59,11.0,10.0,1.0,2018-06-11 22:51:57,2018-07-10 18:03:52,TiesdeKok/UW_Python_Camp,inactive,,
Web Scraping (FirmAI),https://github.com/firmai/business-machine-learning/blob/master/www.firmai.org/data,,Data,2021-04-10 17:19:48,577.0,184.0,2.0,2019-02-19 19:02:59,2020-07-22 16:48:21,firmai/business-machine-learning,active,,
Open Edgar,https://github.com/LexPredict/openedgar,,Data,2021-04-13 16:47:32,171.0,61.0,6.0,2018-05-07 15:32:31,2019-05-15 08:32:30,LexPredict/openedgar,active,,
Capital Markets Data,https://www.capitalmarketsdata.com/,,Data,,,,,,,,,,
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,,
https://github.com/timestocome/StockMarketData,https://github.com/timestocome/StockMarketData,,Data,2021-03-26 22:35:04,7.0,5.0,1.0,2017-05-10 21:49:45,2017-08-06 19:23:18,timestocome/StockMarketData,inactive,,
http://finance.yahoo.com/,http://finance.yahoo.com/,,Data,,,,,,,,,,
https://stooq.com,https://stooq.com,,Data,,,,,,,,,,
Financial Corporate,http://raw.rutgers.edu/Corporate%20Financial%20Data.html,,Data,,,,,,,,,,
Rating Industries,http://www.ratingshistory.info/,,Data,,,,,,,,,,
https://fred.stlouisfed.org/,https://fred.stlouisfed.org/,,Data,,,,,,,,,,
Python for Finance,https://github.com/siaen/python_finance_course,CEU python for finance course material.,Courses,2021-03-31 02:08:55,16.0,15.0,4.0,2017-12-12 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,2021-03-12 11:02:04,64.0,25.0,1.0,2017-10-29 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,2020-11-12 00:49:51,6.0,5.0,3.0,2018-10-03 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,2021-04-15 14:09:10,122.0,111.0,3.0,2018-08-20 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 06:32:10,9.0,5.0,1.0,2017-08-02 21:52:19,2017-08-17 03:24:53,SeanMcOwen/FinanceAndPython.com-Investments,inactive,,
Mathematical Finance,https://github.com/yadongli/nyumath2048,NYU Math-GA 2048: Scientific Computing in Finance.,Courses,2021-04-16 01:56:01,70.0,63.0,6.0,2015-01-25 21:10:37,2020-03-25 04:24:25,yadongli/nyumath2048,active,,
Non-financial Corporate,http://raw.rutgers.edu/Non-Financial%20Corporate%20Data.html,,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,2021-04-17 21:38:23,340.0,140.0,9.0,2014-06-01 01:14:12,2020-10-22 00:24:50,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,2021-04-15 08:49:22,155.0,43.0,4.0,2019-06-02 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,2020-12-20 08:39:26,70.0,10.0,1.0,2017-07-23 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,2021-04-14 09:15:00,976.0,437.0,4.0,2018-04-25 17:22:40,2020-01-16 17:25:41,BlackArbsCEO/Adv_Fin_ML_Exercises,active,4.0,
http://finance.yahoo.com/,http://finance.yahoo.com/,,Data,,,,,,,,,,
https://fred.stlouisfed.org/,https://fred.stlouisfed.org/,,Data,,,,,,,,,,
Rating Industries,http://www.ratingshistory.info/,,Data,,,,,,,,,,
Financial Corporate,http://raw.rutgers.edu/Corporate%20Financial%20Data.html,,Data,,,,,,,,,,
https://stooq.com,https://stooq.com,,Data,,,,,,,,,,
https://github.com/timestocome/StockMarketData,https://github.com/timestocome/StockMarketData,,Data,2021-03-26 22:35:04,7.0,5.0,1.0,2017-05-10 21:49:45,2017-08-06 19:23:18,timestocome/StockMarketData,inactive,,
Web Scraping (FirmAI),https://github.com/firmai/business-machine-learning/blob/master/www.firmai.org/data,,Data,2021-04-10 17:19:48,577.0,184.0,2.0,2019-02-19 19:02:59,2020-07-22 16:48:21,firmai/business-machine-learning,active,,
Capital Markets Data,https://www.capitalmarketsdata.com/,,Data,,,,,,,,,,
Open Edgar,https://github.com/LexPredict/openedgar,,Data,2021-04-13 16:47:32,171.0,61.0,6.0,2018-05-07 15:32:31,2019-05-15 08:32:30,LexPredict/openedgar,active,,
EDGAR,https://github.com/TiesdeKok/UW_Python_Camp/blob/master/Materials/Session_5/EDGAR_walkthrough.ipynb,,Data,2021-01-23 19:22:59,11.0,10.0,1.0,2018-06-11 22:51:57,2018-07-10 18:03:52,TiesdeKok/UW_Python_Camp,inactive,,
IRS,http://social-metrics.org/sox/,,Data,,,,,,,,,,
Employee Count SEC Filings,https://github.com/healthgradient/sec_employee_information_extraction,,Data,2021-02-27 03:33:31,10.0,2.0,1.0,2018-06-26 23:33:51,2018-08-14 01:31:13,healthgradient/sec_employee_information_extraction,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,,
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,2021-01-21 00:29:14,72.0,53.0,5.0,2016-09-26 19:42:54,2021-01-20 23:07:40,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,2021-04-14 09:15:00,976.0,437.0,4.0,2018-04-25 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,2021-02-07 09:16:53,66.0,21.0,1.0,2017-05-22 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,2021-04-15 08:49:22,155.0,43.0,4.0,2019-06-02 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,2021-04-17 21:38:23,340.0,140.0,9.0,2014-06-01 01:14:12,2020-10-22 00:24:50,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,2020-12-20 08:39:26,70.0,10.0,1.0,2017-07-23 02:59:59,2017-07-23 03:10:35,hpnhxxwn/Google-Finance-Stock-Data-Analysis,inactive,3.0,12:49.2
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,
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,2021-04-17 20:46:45,295.0,146.0,1.0,2018-08-13 10:44:08,2020-01-23 04:41:20,pskrunner14/trading-bot,active,3.0,3/31/21 8:00
TradingGym,https://github.com/cove9988/TradingGym,NEW,Deep Learning And Reinforcement Learning,2021-03-28 05:37:33,112.0,39.0,3.0,2017-11-06 00:50:01,2017-11-15 23:55:32,cove9988/TradingGym,inactive,,39:11.1
Deep-Reinforcement-Learning-in-Trading,https://github.com/saeed349/Deep-Reinforcement-Learning-in-Trading,Deep reinforcement learning for trading leveraging [openai gym](https://gym.openai.com/) framework. Keras implementation of DQN DDQN (double deep Q network) and DDDQN (dueling double dqn) trained/tested on s&p 500 daily data from 2013 to 2018. approach is described in an article [here](https://www.linkedin.com/pulse/deep-reinforcement-learning-trading-saeed-rahman),Deep Learning And Reinforcement Learning,2021-04-16 11:31:44,139.0,68.0,1.0,2018-05-11 00:52:14,2019-10-26 14:22:44,saeed349/Deep-Reinforcement-Learning-in-Trading,active,3.0,3/31/21 8:00
Deep Learning III,https://github.com/Rachnog/Deep-Trading,Algorithmic trading with deep learning experiments.,Deep Learning And Reinforcement Learning,2021-04-17 15:48:51,1267.0,677.0,1.0,2016-06-18 18:23:06,2018-08-07 15:24:45,Rachnog/Deep-Trading,inactive,5.0,
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,2021-04-17 10:01:03,557.0,141.0,1.0,2018-11-26 03:23:04,2021-01-01 09:41:21,cbailes/awesome-deep-trading,active,4.0,3/31/21 8:00
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,2021-04-17 19:18:12,575.0,255.0,6.0,2020-07-26 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,2021-04-15 10:00:59,209.0,89.0,1.0,2017-05-29 22:19:00,2017-08-29 14:54:50,ucaiado/rl_trading,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,2021-04-17 20:27:51,292.0,128.0,3.0,2017-03-10 10:52:02,2018-06-11 08:07:02,PiSimo/BitcoinForecast,inactive,3.0,3/31/21 8:00
a3c_trading,https://github.com/evgps/a3c_trading,NEW,Deep Learning And Reinforcement Learning,2021-04-10 12:49:10,311.0,98.0,1.0,2018-06-04 15:30:16,2020-05-23 14:47:54,evgps/a3c_trading,active,,39:11.1
pairstrade-fyp-2019,https://github.com/wywongbd/pairstrade-fyp-2019,NEW,Deep Learning And Reinforcement Learning,2021-04-04 23:47:56,110.0,41.0,2.0,2018-09-07 07:51:06,2020-05-13 05:06:51,wywongbd/pairstrade-fyp-2019,active,,39:11.1
AI Trading,https://github.com/borisbanushev/stockpredictionai/blob/master/readme2.md,AI to predict stock market movements.,Deep Learning And Reinforcement Learning,2021-04-17 12:09:55,2888.0,1390.0,1.0,2019-01-09 08:02:47,2019-02-11 16:32:47,borisbanushev/stockpredictionai,inactive,5.0,
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,2021-04-15 23:05:45,135.0,51.0,2.0,2019-02-23 12:01:21,2020-02-25 18:16:34,sachink2010/AutomatedStockTrading-DeepQ-Learning,active,3.0,3/31/21 8:00
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,2021-04-17 20:08:42,238.0,109.0,1.0,2018-02-25 17:41:42,2020-12-01 22:06:39,golsun/deep-RL-trading,active,3.0,3/31/21 8:00
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,2021-04-13 04:34:30,137.0,49.0,4.0,2018-09-19 03:17:06,2020-11-26 16:58:00,AI4Finance-LLC/DQN-DDPG_Stock_Trading,active,3.0,3/31/21 8:00
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,2021-03-27 02:19:29,241.0,113.0,1.0,2017-05-18 16:47:11,2017-05-18 16:56:38,shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading,inactive,3.0,
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,2021-04-17 22:27:05,1147.0,330.0,2.0,2018-03-10 11:22:00,2018-09-02 17:21:38,Ceruleanacg/Personae,inactive,5.0,3/31/21 8:00
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,2021-04-16 20:10:59,349.0,111.0,1.0,2018-06-21 01:06:01,2020-11-05 11:08:19,sadighian/crypto-rl,active,3.0,3/31/21 8:00
LTSM GRU,https://github.com/RajatHanda/Finance-Forecasting,Stock Market Forecasting using LSTM\GRU.,Deep Learning And Reinforcement Learning,2021-03-29 23:59:32,11.0,6.0,1.0,2018-05-13 02:39:32,2019-02-25 00:26:42,RajatHanda/Finance-Forecasting,inactive,3.0,
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,2021-03-08 13:09:27,266.0,145.0,1.0,2017-08-21 16:00:42,2017-08-21 17:23:48,sonaam1234/DeepLearningInFinance,inactive,3.0,3/31/21 8:00
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,2021-04-17 17:57:34,1888.0,458.0,22.0,2020-07-26 13:18:16,2021-04-11 22:02:16,AI4Finance-LLC/FinRL,active,5.0,3/31/21 8:00
Trading-Gym,https://github.com/thedimlebowski/Trading-Gym,NEW,Deep Learning And Reinforcement Learning,2021-04-10 08:00:08,507.0,148.0,3.0,2017-06-13 13:14:48,2017-07-10 08:09:30,thedimlebowski/Trading-Gym,inactive,,39:11.1
QLearning_Trading,https://github.com/ucaiado/QLearning_Trading,NEW,Deep Learning And Reinforcement Learning,2021-04-15 19:21:30,434.0,169.0,1.0,2016-08-10 06:02:23,2016-10-15 02:36:09,ucaiado/QLearning_Trading,inactive,,39:11.1
RLQuant,https://github.com/yuriak/RLQuant,NEW,Deep Learning And Reinforcement Learning,2021-04-13 09:52:22,278.0,93.0,1.0,2018-04-05 05:42:44,2018-08-13 04:18:29,yuriak/RLQuant,inactive,,39:11.1
RL III,https://github.com/samre12/deep-trading-agent,Github -Deep Reinforcement Learning based Trading Agent for Bitcoin.,Deep Learning And Reinforcement Learning,2021-04-03 20:48:36,576.0,205.0,1.0,2017-09-21 17:05:19,2018-04-13 16:33:21,samre12/deep-trading-agent,inactive,3.0,
tensortrade,https://github.com/tensortrade-org/tensortrade,NEW,Deep Learning And Reinforcement Learning,2021-04-17 20:13:15,3113.0,718.0,39.0,2019-07-30 21:28:32,2021-03-24 16:25:28,tensortrade-org/tensortrade,active,,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,2021-04-15 10:51:02,321.0,158.0,2.0,2019-02-16 21:18:00,2020-11-29 20:12:59,Rachnog/Advanced-Deep-Trading,active,3.0,3/31/21 8:00
Machine-Learning-and-Reinforcement-Learning-in-Finance,https://github.com/joelowj/Machine-Learning-and-Reinforcement-Learning-in-Finance,NEW,Deep Learning And Reinforcement Learning,2021-03-30 09:11:21,175.0,98.0,1.0,2018-06-26 04:30:08,2018-09-23 16:50:33,joelowj/Machine-Learning-and-Reinforcement-Learning-in-Finance,inactive,,39:11.1
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,2021-04-13 09:54:54,181.0,38.0,2.0,2019-04-22 10:03:21,2020-09-28 09:07:18,Kostis-S-Z/trading-rl,active,3.0,3/31/21 8:00
LTSM Recurrent,https://github.com/VivekPa/AIAlpha,OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network.,Deep Learning And Reinforcement Learning,2021-04-18 00:09:17,1212.0,371.0,2.0,2018-10-07 03:58:26,2019-08-03 09:00:44,VivekPa/AIAlpha,active,4.0,
Neural Network,https://github.com/VivekPa/IntroNeuralNetworks,Neural networks to predict stock prices.,Deep Learning And Reinforcement Learning,2021-04-18 00:09:39,491.0,176.0,2.0,2018-09-10 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,2021-04-17 11:19:46,1315.0,454.0,15.0,2019-04-27 18:35:15,2019-10-17 16:25:49,notadamking/RLTrader,active,5.0,3/31/21 8:00
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,2021-04-11 04:12:38,222.0,86.0,1.0,2018-08-05 02:13:21,2018-10-01 11:25:53,imhgchoi/ARIMA-LSTM-hybrid-corrcoef-predict,inactive,3.0,
@@ -120,52 +146,46 @@ Deep Learning II,https://github.com/LiamConnell/deep-algotrading/tree/master/not
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,2021-04-17 22:10:31,3690.0,1554.0,2.0,2017-12-18 10:49:59,2021-01-05 10:31:50,huseinzol05/Stock-Prediction-Models,active,5.0,3/31/21 8:00
Deep Learning IV,https://github.com/achillesrasquinha/bulbea,Bulbea: Deep Learning based Python Library.,Deep Learning And Reinforcement Learning,2021-04-18 00:09:11,1469.0,416.0,1.0,2017-03-09 06:11:06,2017-03-19 07:42:49,achillesrasquinha/bulbea,inactive,5.0,
maro,https://github.com/microsoft/maro,NEW,Deep Learning And Reinforcement Learning,2021-04-16 04:24:29,387.0,66.0,18.0,2019-12-27 06:48:27,2021-04-15 08:27:30,microsoft/maro,active,,39:11.1
RL III,https://github.com/samre12/deep-trading-agent,Github -Deep Reinforcement Learning based Trading Agent for Bitcoin.,Deep Learning And Reinforcement Learning,2021-04-03 20:48:36,576.0,205.0,1.0,2017-09-21 17:05:19,2018-04-13 16:33:21,samre12/deep-trading-agent,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,2021-04-18 00:09:17,1212.0,371.0,2.0,2018-10-07 03:58:26,2019-08-03 09:00:44,VivekPa/AIAlpha,active,4.0,
FinRL,https://github.com/AI4Finance-LLC/FinRL,NEW,Deep Learning And Reinforcement Learning,2021-04-17 17:57:34,1888.0,458.0,22.0,2020-07-26 13:18:16,2021-04-11 22:02:16,AI4Finance-LLC/FinRL,active,,13:03.7
RL II,https://github.com/deependersingla/deep_trader,reinforcement learning on stock market and agent tries to learn trading.,Deep Learning And Reinforcement Learning,2021-04-16 02:09:34,1341.0,489.0,3.0,2016-06-11 07:27:10,2018-01-22 14:35:50,deependersingla/deep_trader,inactive,3.0,
gym-trading,https://github.com/hackthemarket/gym-trading,NEW,Deep Learning And Reinforcement Learning,2021-04-16 13:12:08,583.0,195.0,2.0,2016-12-09 20:46:19,2017-12-24 15:34:37,hackthemarket/gym-trading,inactive,,39:11.1
Pair-Trading-Reinforcement-Learning,https://github.com/wai-i/Pair-Trading-Reinforcement-Learning,NEW,Deep Learning And Reinforcement Learning,2021-04-10 04:53:28,136.0,56.0,1.0,2019-06-09 22:50:37,2020-01-03 15:36:22,wai-i/Pair-Trading-Reinforcement-Learning,active,,39:11.1
TradingGym,https://github.com/Yvictor/TradingGym,NEW,Deep Learning And Reinforcement Learning,2021-04-17 15:05:15,848.0,239.0,2.0,2017-05-01 13:53:32,2018-02-14 13:58:18,Yvictor/TradingGym,inactive,,39:11.1
RL V,https://github.com/gstenger98/rl-finance,Building an Agent to Trade with Reinforcement Learning.,Deep Learning And Reinforcement Learning,2021-04-08 18:57:53,33.0,8.0,5.0,2019-01-16 00:43:36,2020-03-19 20:28:08,gstenger98/rl-finance,active,2.0,
RL,https://github.com/kh-kim/stock_market_reinforcement_learning,OpenGym with Deep Q-learning and Policy Gradient.,Deep Learning And Reinforcement Learning,2021-04-12 20:38:31,716.0,298.0,1.0,2016-10-04 14:42:19,2016-12-23 07:34:08,kh-kim/stock_market_reinforcement_learning,inactive,2.0,
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,2021-04-16 04:08:23,280.0,102.0,1.0,2018-09-29 23:38:06,2021-03-18 03:16:36,LastAncientOne/Deep-Learning-Machine-Learning-Stock,active,3.0,3/31/21 8:00
RL IV,https://github.com/jjakimoto/DQN,Reinforcement Learning for finance.,Deep Learning And Reinforcement Learning,2021-04-05 11:42:45,142.0,55.0,1.0,2016-10-21 02:47:17,2017-04-07 08:11:57,jjakimoto/DQN,inactive,,
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,2021-04-03 22:50:43,141.0,44.0,2.0,2019-05-19 22:20:05,2020-09-27 19:22:28,Albert-Z-Guo/Deep-Reinforcement-Stock-Trading,active,3.0,3/31/21 8:00
tensortrade,https://github.com/tensortrade-org/tensortrade,NEW,Deep Learning And Reinforcement Learning,2021-04-17 20:13:15,3113.0,718.0,39.0,2019-07-30 21:28:32,2021-03-24 16:25:28,tensortrade-org/tensortrade,active,,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,2021-04-15 10:51:02,321.0,158.0,2.0,2019-02-16 21:18:00,2020-11-29 20:12:59,Rachnog/Advanced-Deep-Trading,active,3.0,3/31/21 8:00
RLQuant,https://github.com/yuriak/RLQuant,NEW,Deep Learning And Reinforcement Learning,2021-04-13 09:52:22,278.0,93.0,1.0,2018-04-05 05:42:44,2018-08-13 04:18:29,yuriak/RLQuant,inactive,,39:11.1
Trading-Gym,https://github.com/thedimlebowski/Trading-Gym,NEW,Deep Learning And Reinforcement Learning,2021-04-10 08:00:08,507.0,148.0,3.0,2017-06-13 13:14:48,2017-07-10 08:09:30,thedimlebowski/Trading-Gym,inactive,,39:11.1
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,2021-04-17 19:18:12,575.0,255.0,6.0,2020-07-26 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
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,2021-04-17 20:46:45,295.0,146.0,1.0,2018-08-13 10:44:08,2020-01-23 04:41:20,pskrunner14/trading-bot,active,3.0,3/31/21 8:00
TradingGym,https://github.com/cove9988/TradingGym,NEW,Deep Learning And Reinforcement Learning,2021-03-28 05:37:33,112.0,39.0,3.0,2017-11-06 00:50:01,2017-11-15 23:55:32,cove9988/TradingGym,inactive,,39:11.1
Deep-Reinforcement-Learning-in-Trading,https://github.com/saeed349/Deep-Reinforcement-Learning-in-Trading,Deep reinforcement learning for trading leveraging [openai gym](https://gym.openai.com/) framework. Keras implementation of DQN DDQN (double deep Q network) and DDDQN (dueling double dqn) trained/tested on s&p 500 daily data from 2013 to 2018. approach is described in an article [here](https://www.linkedin.com/pulse/deep-reinforcement-learning-trading-saeed-rahman),Deep Learning And Reinforcement Learning,2021-04-16 11:31:44,139.0,68.0,1.0,2018-05-11 00:52:14,2019-10-26 14:22:44,saeed349/Deep-Reinforcement-Learning-in-Trading,active,3.0,3/31/21 8:00
Deep Learning III,https://github.com/Rachnog/Deep-Trading,Algorithmic trading with deep learning experiments.,Deep Learning And Reinforcement Learning,2021-04-17 15:48:51,1267.0,677.0,1.0,2016-06-18 18:23:06,2018-08-07 15:24:45,Rachnog/Deep-Trading,inactive,5.0,
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,2021-04-17 10:01:03,557.0,141.0,1.0,2018-11-26 03:23:04,2021-01-01 09:41:21,cbailes/awesome-deep-trading,active,4.0,3/31/21 8:00
rl_trading,https://github.com/ucaiado/rl_trading,NEW,Deep Learning And Reinforcement Learning,2021-04-15 10:00:59,209.0,89.0,1.0,2017-05-29 22:19:00,2017-08-29 14:54:50,ucaiado/rl_trading,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,2021-04-17 20:27:51,292.0,128.0,3.0,2017-03-10 10:52:02,2018-06-11 08:07:02,PiSimo/BitcoinForecast,inactive,3.0,3/31/21 8:00
a3c_trading,https://github.com/evgps/a3c_trading,NEW,Deep Learning And Reinforcement Learning,2021-04-10 12:49:10,311.0,98.0,1.0,2018-06-04 15:30:16,2020-05-23 14:47:54,evgps/a3c_trading,active,,39:11.1
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,
pairstrade-fyp-2019,https://github.com/wywongbd/pairstrade-fyp-2019,NEW,Deep Learning And Reinforcement Learning,2021-04-04 23:47:56,110.0,41.0,2.0,2018-09-07 07:51:06,2020-05-13 05:06:51,wywongbd/pairstrade-fyp-2019,active,,39:11.1
QLearning_Trading,https://github.com/ucaiado/QLearning_Trading,NEW,Deep Learning And Reinforcement Learning,2021-04-15 19:21:30,434.0,169.0,1.0,2016-08-10 06:02:23,2016-10-15 02:36:09,ucaiado/QLearning_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,2021-04-15 23:05:45,135.0,51.0,2.0,2019-02-23 12:01:21,2020-02-25 18:16:34,sachink2010/AutomatedStockTrading-DeepQ-Learning,active,3.0,3/31/21 8:00
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,2021-04-17 20:08:42,238.0,109.0,1.0,2018-02-25 17:41:42,2020-12-01 22:06:39,golsun/deep-RL-trading,active,3.0,3/31/21 8:00
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,2021-04-13 04:34:30,137.0,49.0,4.0,2018-09-19 03:17:06,2020-11-26 16:58:00,AI4Finance-LLC/DQN-DDPG_Stock_Trading,active,3.0,3/31/21 8:00
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,2021-03-27 02:19:29,241.0,113.0,1.0,2017-05-18 16:47:11,2017-05-18 16:56:38,shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading,inactive,3.0,
AI Trading,https://github.com/borisbanushev/stockpredictionai/blob/master/readme2.md,AI to predict stock market movements.,Deep Learning And Reinforcement Learning,2021-04-17 12:09:55,2888.0,1390.0,1.0,2019-01-09 08:02:47,2019-02-11 16:32:47,borisbanushev/stockpredictionai,inactive,5.0,
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,2021-04-17 22:27:05,1147.0,330.0,2.0,2018-03-10 11:22:00,2018-09-02 17:21:38,Ceruleanacg/Personae,inactive,5.0,3/31/21 8:00
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,2021-04-16 20:10:59,349.0,111.0,1.0,2018-06-21 01:06:01,2020-11-05 11:08:19,sadighian/crypto-rl,active,3.0,3/31/21 8:00
LTSM GRU,https://github.com/RajatHanda/Finance-Forecasting,Stock Market Forecasting using LSTM\GRU.,Deep Learning And Reinforcement Learning,2021-03-29 23:59:32,11.0,6.0,1.0,2018-05-13 02:39:32,2019-02-25 00:26:42,RajatHanda/Finance-Forecasting,inactive,3.0,
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,2021-03-08 13:09:27,266.0,145.0,1.0,2017-08-21 16:00:42,2017-08-21 17:23:48,sonaam1234/DeepLearningInFinance,inactive,3.0,3/31/21 8:00
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,2021-04-17 17:57:34,1888.0,458.0,22.0,2020-07-26 13:18:16,2021-04-11 22:02:16,AI4Finance-LLC/FinRL,active,5.0,3/31/21 8:00
RL IV,https://github.com/jjakimoto/DQN,Reinforcement Learning for finance.,Deep Learning And Reinforcement Learning,2021-04-05 11:42:45,142.0,55.0,1.0,2016-10-21 02:47:17,2017-04-07 08:11:57,jjakimoto/DQN,inactive,,
RL,https://github.com/kh-kim/stock_market_reinforcement_learning,OpenGym with Deep Q-learning and Policy Gradient.,Deep Learning And Reinforcement Learning,2021-04-12 20:38:31,716.0,298.0,1.0,2016-10-04 14:42:19,2016-12-23 07:34:08,kh-kim/stock_market_reinforcement_learning,inactive,2.0,
RL V,https://github.com/gstenger98/rl-finance,Building an Agent to Trade with Reinforcement Learning.,Deep Learning And Reinforcement Learning,2021-04-08 18:57:53,33.0,8.0,5.0,2019-01-16 00:43:36,2020-03-19 20:28:08,gstenger98/rl-finance,active,2.0,
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,2021-04-16 04:08:23,280.0,102.0,1.0,2018-09-29 23:38:06,2021-03-18 03:16:36,LastAncientOne/Deep-Learning-Machine-Learning-Stock,active,3.0,3/31/21 8:00
Pair-Trading-Reinforcement-Learning,https://github.com/wai-i/Pair-Trading-Reinforcement-Learning,NEW,Deep Learning And Reinforcement Learning,2021-04-10 04:53:28,136.0,56.0,1.0,2019-06-09 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,2021-04-16 13:12:08,583.0,195.0,2.0,2016-12-09 20:46:19,2017-12-24 15:34:37,hackthemarket/gym-trading,inactive,,39:11.1
RL II,https://github.com/deependersingla/deep_trader,reinforcement learning on stock market and agent tries to learn trading.,Deep Learning And Reinforcement Learning,2021-04-16 02:09:34,1341.0,489.0,3.0,2016-06-11 07:27:10,2018-01-22 14:35:50,deependersingla/deep_trader,inactive,3.0,
TradingGym,https://github.com/Yvictor/TradingGym,NEW,Deep Learning And Reinforcement Learning,2021-04-17 15:05:15,848.0,239.0,2.0,2017-05-01 13:53:32,2018-02-14 13:58:18,Yvictor/TradingGym,inactive,,39:11.1
StockSharp,https://github.com/StockSharp/StockSharp,NEW,Derivatives and Hedging,2021-04-17 15:11:02,3938.0,1223.0,17.0,2014-12-08 07:53:44,2021-04-07 10:55:36,StockSharp/StockSharp,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,,
Hull White,https://github.com/rstreppa/valuation-callables-HullWhite/blob/master/CallableBond_HullWhite.ipynb,"Callable Bond, Hull White.",Derivatives and Hedging,2020-10-06 20:37:16,4.0,6.0,1.0,2018-06-06 22:06:06,2018-06-06 22:27:02,rstreppa/valuation-callables-HullWhite,inactive,,
FinancePy,https://github.com/domokane/FinancePy,NEW,Derivatives and Hedging,2021-04-15 13:03:10,446.0,73.0,6.0,2019-10-27 15:04:56,2021-03-11 21:40:14,domokane/FinancePy,active,,23:51.4
Derivatives Python,https://github.com/yhilpisch/dawp/tree/master/python36,Derivative analytics with Python.,Derivatives and Hedging,2021-04-13 06:09:33,389.0,299.0,1.0,2015-07-09 12:27:29,2021-02-22 13:29:18,yhilpisch/dawp,active,,
robin_stocks,https://github.com/jmfernandes/robin_stocks,NEW,Derivatives and Hedging,2021-04-18 00:09:22,1019.0,261.0,34.0,2018-02-23 00:49:37,2021-02-27 17:48:43,jmfernandes/robin_stocks,active,,23:51.4
gs-quant,https://github.com/goldmansachs/gs-quant,NEW,Derivatives and Hedging,2021-04-17 08:46:05,590.0,170.0,12.0,2018-12-14 21:10:40,2021-03-25 15:33:58,goldmansachs/gs-quant,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,2021-01-12 12:22:31,17.0,12.0,1.0,2018-01-29 05:01:52,2018-08-02 05:56:49,chen-bowen/Computational_Finance,inactive,,
Options_Data_Science,https://github.com/yugedata/Options_Data_Science,NEW,Derivatives and Hedging,2021-04-16 17:35:45,237.0,39.0,1.0,2020-12-09 04:51:20,2021-04-05 03:55:22,yugedata/Options_Data_Science,active,,23:51.4
Options,https://github.com/QuantConnect/Tutorials/tree/master/06%20Introduction%20to%20Options%5B%5D,Introduction to options.,Derivatives and Hedging,2021-04-16 12:14:41,336.0,165.0,36.0,2017-07-28 15:48:29,2021-03-17 17:17:08,QuantConnect/Tutorials,active,,
MarketAnalysis,https://github.com/Poseyy/MarketAnalysis,NEW,Derivatives and Hedging,2021-04-17 17:32:33,171.0,77.0,1.0,2019-03-28 19:46:34,2020-08-06 05:15:46,Poseyy/MarketAnalysis,active,,23:51.4
Options,https://github.com/PHBS/2018.M1.ASP/tree/master/py,Black Scholes and Copula.,Derivatives and Hedging,,,,,,,PHBS/2018.M1.ASP,,,
Volatility and Variance Derivatives,https://github.com/yhilpisch/lvvd/tree/master/lvvd,Volatility derivatives analytics.,Derivatives and Hedging,2021-04-15 06:00:21,80.0,78.0,1.0,2016-10-21 04:12:50,2021-02-22 13:32:00,yhilpisch/lvvd,active,,
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,,
fast_arrow,https://github.com/westonplatter/fast_arrow,NEW,Derivatives and Hedging,2021-04-15 21:23:41,128.0,42.0,5.0,2018-07-19 23:15:25,2020-04-18 18:05:37,westonplatter/fast_arrow,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,,
QLNet,https://github.com/amaggiulli/QLNet,NEW,Derivatives and Hedging,2021-04-13 07:58:56,259.0,134.0,13.0,2013-08-22 14:51:43,2021-03-02 18:39:41,amaggiulli/QLNet,active,,23:51.4
openAlgo,https://github.com/mtompkins/openAlgo,NEW,Derivatives and Hedging,2021-04-03 09:17:16,160.0,82.0,2.0,2013-05-28 14:46:53,2017-03-24 20:00:24,mtompkins/openAlgo,inactive,,23:51.4
Strata,https://github.com/OpenGamma/Strata,NEW,Derivatives and Hedging,2021-04-17 09:39:09,610.0,218.0,41.0,2014-06-16 11:45:55,2021-04-16 13:48:36,OpenGamma/Strata,active,,23:51.4
wallstreet,https://github.com/mcdallas/wallstreet,NEW,Derivatives and Hedging,2021-04-17 17:04:35,575.0,126.0,2.0,2016-01-20 22:03:39,2019-08-09 23:14:52,mcdallas/wallstreet,active,,23:51.4
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,,
trade-frame,https://github.com/rburkholder/trade-frame,NEW,Derivatives and Hedging,2021-04-17 20:53:12,190.0,79.0,1.0,2016-07-24 15:25:30,2020-11-09 01:16:46,rburkholder/trade-frame,active,,23:51.4
quant-trading,https://github.com/je-suis-tm/quant-trading,NEW,Derivatives and Hedging,2021-04-18 00:09:02,1789.0,478.0,2.0,2018-04-03 14:08:14,2021-04-13 18:37:15,je-suis-tm/quant-trading,active,,23:51.4
huobi_futures_Python,https://github.com/hbdmapi/huobi_futures_Python,NEW,Derivatives and Hedging,2021-04-17 22:08:56,141.0,73.0,2.0,2020-01-14 07:21:39,2021-04-15 07:10:04,hbdmapi/huobi_futures_Python,active,,23:51.4
tda-api,https://github.com/alexgolec/tda-api,NEW,Derivatives and Hedging,2021-04-17 21:23:28,653.0,164.0,13.0,2020-04-03 21:19:12,2021-04-15 03:16:56,alexgolec/tda-api,active,,23:51.4
paperbroker,https://github.com/philipodonnell/paperbroker,NEW,Derivatives and Hedging,2021-04-17 02:37:05,176.0,48.0,3.0,2017-07-06 02:04:51,2018-04-08 18:37:57,philipodonnell/paperbroker,inactive,,23:51.4
optopsy,https://github.com/michaelchu/optopsy,NEW,Derivatives and Hedging,2021-04-17 02:35:52,395.0,90.0,3.0,2017-09-17 01:49:54,2020-12-07 17:00:58,michaelchu/optopsy,active,,23:51.4
Reinforcement Learning,https://github.com/FinTechies/HedgingRL,Hedging portfolios with reinforcement learning.,Derivatives and Hedging,2021-01-20 08:12:13,16.0,9.0,1.0,2017-04-21 10:58:56,2017-08-02 21:41:06,FinTechies/HedgingRL,inactive,,
Options-Trading-Strategies-in-Python,https://github.com/PyPatel/Options-Trading-Strategies-in-Python,NEW,Derivatives and Hedging,2021-04-18 00:09:56,319.0,135.0,1.0,2017-08-30 06:00:15,2019-08-21 15:47:57,PyPatel/Options-Trading-Strategies-in-Python,active,,23:51.4
algotrader,https://github.com/torreyleonard/algotrader,NEW,Derivatives and Hedging,2021-04-17 22:11:10,478.0,102.0,12.0,2018-04-10 02:31:26,2020-08-27 08:16:44,torreyleonard/algotrader,active,,23:51.4
tda-api,https://github.com/alexgolec/tda-api,NEW,Derivatives and Hedging,2021-04-17 21:23:28,653.0,164.0,13.0,2020-04-03 21:19:12,2021-04-15 03:16:56,alexgolec/tda-api,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,2021-02-27 08:50:16,2.0,3.0,1.0,2018-05-22 18:27:26,2018-05-22 18:30:24,rstreppa/valuation-OptionStrategies,inactive,,
tai,https://github.com/fremantle-industries/tai,NEW,Derivatives and Hedging,2021-04-17 22:21:33,273.0,44.0,6.0,2017-07-28 03:07:18,2021-04-17 22:21:08,fremantle-industries/tai,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,,
@@ -173,171 +193,134 @@ FinanceDatabase,https://github.com/JerBouma/FinanceDatabase,NEW,Derivatives and
akshare,https://github.com/jindaxiang/akshare,NEW,Derivatives and Hedging,2021-04-17 13:34:08,3397.0,687.0,11.0,2019-10-01 07:34:12,2021-04-17 13:34:05,jindaxiang/akshare,active,,23:51.4
trading-server,https://github.com/s-brez/trading-server,NEW,Derivatives and Hedging,2021-04-17 02:36:55,211.0,51.0,2.0,2019-03-05 03:06:19,2021-03-08 02:37:08,s-brez/trading-server,active,,23:51.4
tf-quant-finance,https://github.com/google/tf-quant-finance,NEW,Derivatives and Hedging,2021-04-18 00:08:51,2573.0,333.0,28.0,2019-07-24 16:09:50,2021-04-14 22:53:23,google/tf-quant-finance,active,,23:51.4
algotrader,https://github.com/torreyleonard/algotrader,NEW,Derivatives and Hedging,2021-04-17 22:11:10,478.0,102.0,12.0,2018-04-10 02:31:26,2020-08-27 08:16:44,torreyleonard/algotrader,active,,23:51.4
AlgorithmicTrading,https://github.com/JerBouma/AlgorithmicTrading,NEW,Derivatives and Hedging,2021-04-18 00:10:04,173.0,54.0,1.0,2019-03-14 09:33:37,2021-02-03 22:29:07,JerBouma/AlgorithmicTrading,active,,23:51.4
wallstreet,https://github.com/mcdallas/wallstreet,NEW,Derivatives and Hedging,2021-04-17 17:04:35,575.0,126.0,2.0,2016-01-20 22:03:39,2019-08-09 23:14:52,mcdallas/wallstreet,active,,23:51.4
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,,
openAlgo,https://github.com/mtompkins/openAlgo,NEW,Derivatives and Hedging,2021-04-03 09:17:16,160.0,82.0,2.0,2013-05-28 14:46:53,2017-03-24 20:00:24,mtompkins/openAlgo,inactive,,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,,
StockSharp,https://github.com/StockSharp/StockSharp,NEW,Derivatives and Hedging,2021-04-17 15:11:02,3938.0,1223.0,17.0,2014-12-08 07:53:44,2021-04-07 10:55:36,StockSharp/StockSharp,active,,23:51.4
Hull White,https://github.com/rstreppa/valuation-callables-HullWhite/blob/master/CallableBond_HullWhite.ipynb,"Callable Bond, Hull White.",Derivatives and Hedging,2020-10-06 20:37:16,4.0,6.0,1.0,2018-06-06 22:06:06,2018-06-06 22:27:02,rstreppa/valuation-callables-HullWhite,inactive,,
FinancePy,https://github.com/domokane/FinancePy,NEW,Derivatives and Hedging,2021-04-15 13:03:10,446.0,73.0,6.0,2019-10-27 15:04:56,2021-03-11 21:40:14,domokane/FinancePy,active,,23:51.4
Derivatives Python,https://github.com/yhilpisch/dawp/tree/master/python36,Derivative analytics with Python.,Derivatives and Hedging,2021-04-13 06:09:33,389.0,299.0,1.0,2015-07-09 12:27:29,2021-02-22 13:29:18,yhilpisch/dawp,active,,
robin_stocks,https://github.com/jmfernandes/robin_stocks,NEW,Derivatives and Hedging,2021-04-18 00:09:22,1019.0,261.0,34.0,2018-02-23 00:49:37,2021-02-27 17:48:43,jmfernandes/robin_stocks,active,,23:51.4
gs-quant,https://github.com/goldmansachs/gs-quant,NEW,Derivatives and Hedging,2021-04-17 08:46:05,590.0,170.0,12.0,2018-12-14 21:10:40,2021-03-25 15:33:58,goldmansachs/gs-quant,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,,
Computational Derivatives,https://github.com/chenbowen184/Computational_Finance,Projects focusing on investigating simulations and computational techniques applied in finance.,Derivatives and Hedging,2021-01-12 12:22:31,17.0,12.0,1.0,2018-01-29 05:01:52,2018-08-02 05:56:49,chen-bowen/Computational_Finance,inactive,,
QLNet,https://github.com/amaggiulli/QLNet,NEW,Derivatives and Hedging,2021-04-13 07:58:56,259.0,134.0,13.0,2013-08-22 14:51:43,2021-03-02 18:39:41,amaggiulli/QLNet,active,,23:51.4
Options,https://github.com/QuantConnect/Tutorials/tree/master/06%20Introduction%20to%20Options%5B%5D,Introduction to options.,Derivatives and Hedging,2021-04-16 12:14:41,336.0,165.0,36.0,2017-07-28 15:48:29,2021-03-17 17:17:08,QuantConnect/Tutorials,active,,
Strata,https://github.com/OpenGamma/Strata,NEW,Derivatives and Hedging,2021-04-17 09:39:09,610.0,218.0,41.0,2014-06-16 11:45:55,2021-04-16 13:48:36,OpenGamma/Strata,active,,23:51.4
MarketAnalysis,https://github.com/Poseyy/MarketAnalysis,NEW,Derivatives and Hedging,2021-04-17 17:32:33,171.0,77.0,1.0,2019-03-28 19:46:34,2020-08-06 05:15:46,Poseyy/MarketAnalysis,active,,23:51.4
Options_Data_Science,https://github.com/yugedata/Options_Data_Science,NEW,Derivatives and Hedging,2021-04-16 17:35:45,237.0,39.0,1.0,2020-12-09 04:51:20,2021-04-05 03:55:22,yugedata/Options_Data_Science,active,,23:51.4
Volatility and Variance Derivatives,https://github.com/yhilpisch/lvvd/tree/master/lvvd,Volatility derivatives analytics.,Derivatives and Hedging,2021-04-15 06:00:21,80.0,78.0,1.0,2016-10-21 04:12:50,2021-02-22 13:32:00,yhilpisch/lvvd,active,,
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,,
fast_arrow,https://github.com/westonplatter/fast_arrow,NEW,Derivatives and Hedging,2021-04-15 21:23:41,128.0,42.0,5.0,2018-07-19 23:15:25,2020-04-18 18:05:37,westonplatter/fast_arrow,active,,23:51.4
Options,https://github.com/PHBS/2018.M1.ASP/tree/master/py,Black Scholes and Copula.,Derivatives and Hedging,,,,,,,PHBS/2018.M1.ASP,,,
gym-fx,https://github.com/harveybc/gym-fx,NEW,Extended Research,2021-04-09 22:56:48,153.0,40.0,1.0,2017-02-21 21:04:09,2020-06-03 21:03:14,harveybc/gym-fx,active,,2021-04-21 01:25:51.827641
2018-Kaggle-AdTrackingFraud,https://github.com/ShawnyXiao/2018-Kaggle-AdTrackingFraud,NEW,Extended Research,2021-02-20 04:15:05,71.0,23.0,1.0,2018-05-08 09:29:46,2019-01-12 07:57:33,ShawnyXiao/2018-Kaggle-AdTrackingFraud,inactive,,2021-04-21 01:25:51.827641
MIDAS,https://github.com/Stream-AD/MIDAS,NEW,Extended Research,2021-04-19 02:20:48,602.0,71.0,3.0,2019-10-23 03:50:50,2021-04-11 02:23:01,Stream-AD/MIDAS,active,,2021-04-21 01:25:51.827641
getIPIntel,https://github.com/blackdotsh/getIPIntel,NEW,Extended Research,2021-04-14 09:55:43,149.0,29.0,4.0,2015-10-02 21:40:50,2021-01-24 01:09:18,blackdotsh/getIPIntel,active,,2021-04-21 01:25:51.827641
fecon236,https://github.com/MathSci/fecon236,NEW,Extended Research,2021-04-10 17:02:50,73.0,43.0,2.0,2018-04-05 19:34:51,2019-01-11 08:07:56,MathSci/fecon236,inactive,,2021-04-21 01:25:51.827641
Financial-Formulas-Library-.NET-Standard,https://github.com/srbrettle/Financial-Formulas-Library-.NET-Standard,NEW,Extended Research,2021-04-17 23:15:33,102.0,30.0,2.0,2018-09-01 17:43:37,2019-11-22 12:50:30,srbrettle/Financial-Formulas-Library-.NET-Standard,active,,2021-04-21 01:25:51.827641
finmath-lib,https://github.com/finmath/finmath-lib,NEW,Extended Research,2021-04-20 05:38:28,307.0,124.0,16.0,2013-03-17 10:00:22,2021-03-13 21:37:31,finmath/finmath-lib,active,,2021-04-21 01:25:51.827641
math-php,https://github.com/markrogoyski/math-php,NEW,Extended Research,2021-04-20 11:16:15,1884.0,200.0,17.0,2016-04-03 17:57:14,2020-12-19 19:41:05,markrogoyski/math-php,active,,2021-04-21 01:25:51.827641
ReactiveTraderCloud,https://github.com/AdaptiveConsulting/ReactiveTraderCloud,NEW,Extended Research,2021-04-19 19:04:09,1567.0,496.0,81.0,2015-11-13 19:24:11,2021-04-16 18:21:28,AdaptiveConsulting/ReactiveTraderCloud,active,,2021-04-21 01:25:51.827641
Trading-Bot,https://github.com/RaidasGrisk/Trading-Bot,NEW,Extended Research,2021-04-12 05:40:53,72.0,29.0,1.0,2017-11-27 21:20:40,2018-01-22 21:00:57,RaidasGrisk/Trading-Bot,inactive,,2021-04-21 01:25:51.827641
fx_systrade,https://github.com/ryogrid/fx_systrade,NEW,Extended Research,2021-03-29 04:12:56,80.0,29.0,2.0,2015-07-24 11:46:28,2020-10-23 10:17:01,ryogrid/fx_systrade,active,,2021-04-21 01:25:51.827641
tradingrrl,https://github.com/darden1/tradingrrl,NEW,Extended Research,2021-02-19 06:30:45,59.0,33.0,1.0,2017-03-05 07:20:56,2018-11-14 13:19:52,darden1/tradingrrl,inactive,,2021-04-21 01:25:51.827641
FX-1-Minute-Data,https://github.com/philipperemy/FX-1-Minute-Data,NEW,Extended Research,2021-04-15 02:34:35,282.0,109.0,3.0,2017-05-22 03:24:35,2020-04-08 03:32:23,philipperemy/FX-1-Minute-Data,active,,2021-04-21 01:25:51.827641
fingerprintjs,https://github.com/fingerprintjs/fingerprintjs,NEW,Extended Research,2021-04-20 22:44:39,13190.0,1602.0,66.0,2015-02-11 08:49:54,2021-04-20 22:21:22,fingerprintjs/fingerprintjs,active,,2021-04-21 01:25:51.827641
math-finance-cheat-sheet,https://github.com/daleroberts/math-finance-cheat-sheet,NEW,Extended Research,2021-04-20 11:13:10,188.0,29.0,1.0,2014-05-02 00:19:01,2016-11-16 05:57:09,daleroberts/math-finance-cheat-sheet,inactive,,2021-04-21 01:25:51.827641
kafka-fraud-detector,https://github.com/florimondmanca/kafka-fraud-detector,NEW,Extended Research,2021-03-27 11:13:16,59.0,43.0,3.0,2018-09-13 17:36:49,2019-04-29 22:04:23,florimondmanca/kafka-fraud-detector,active,,2021-04-21 01:25:51.827641
graph-fraud-detection-papers,https://github.com/safe-graph/graph-fraud-detection-papers,NEW,Extended Research,2021-04-20 07:25:42,360.0,64.0,2.0,2019-11-21 05:39:23,2021-03-20 21:24:24,safe-graph/graph-fraud-detection-papers,active,,2021-04-21 01:25:51.827641
beymani,https://github.com/pranab/beymani,NEW,Extended Research,2021-04-19 23:31:54,108.0,58.0,0.0,2012-01-04 07:22:01,2021-04-19 14:23:24,pranab/beymani,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 20:49:53,57.0,41.0,1.0,2017-02-23 07:48:12,2017-08-14 03:21:30,anthonyng2/FX-Trading-with-Python-and-Oanda,inactive,,2021-04-21 01:25:51.827641
FraudDetection-Microservices,https://github.com/melofred/FraudDetection-Microservices,NEW,Extended Research,2021-02-16 00:13:03,85.0,49.0,1.0,2016-06-08 23:24:21,2017-01-18 17:52:01,melofred/FraudDetection-Microservices,inactive,,2021-04-21 01:25:51.827641
ml-fraud-detection,https://github.com/georgymh/ml-fraud-detection,NEW,Extended Research,2021-04-14 11:51:04,120.0,91.0,2.0,2017-04-27 01:48:35,2018-01-31 21:17:26,georgymh/ml-fraud-detection,inactive,,2021-04-21 01:25:51.827641
fraud-detection-demo,https://github.com/afedulov/fraud-detection-demo,NEW,Extended Research,2021-04-20 07:15:40,157.0,66.0,2.0,2019-11-04 09:23:17,2021-01-05 19:28:04,afedulov/fraud-detection-demo,active,,2021-04-21 01:25:51.827641
talkingdata-adtracking-fraud-detection,https://github.com/flowlight0/talkingdata-adtracking-fraud-detection,NEW,Extended Research,2021-04-16 00:20:10,202.0,54.0,1.0,2018-03-21 11:27:31,2018-06-10 15:30:50,flowlight0/talkingdata-adtracking-fraud-detection,inactive,,2021-04-21 01:25:51.827641
Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras,https://github.com/curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras,NEW,Extended Research,2021-04-06 22:25:09,340.0,238.0,1.0,2017-06-09 13:58:13,2019-06-28 09:27:45,curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras,active,,2021-04-21 01:25:51.827641
Fraud_Detector,https://github.com/kskk02/Fraud_Detector,NEW,Extended Research,2021-01-10 18:28:58,57.0,35.0,1.0,2014-07-03 20:52:51,2015-01-15 22:03:04,kskk02/Fraud_Detector,inactive,,2021-04-21 01:25:51.827641
TalkingData,https://github.com/CuteChibiko/TalkingData,NEW,Extended Research,2021-03-27 11:13:00,99.0,39.0,1.0,2018-05-09 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,2021-04-06 09:02:18,61.0,34.0,1.0,2017-08-04 15:03:47,2017-08-05 15:38:45,yazanobeidi/fraud-detection,inactive,,2021-04-21 01:25:51.827641
fraud-detection-using-machine-learning,https://github.com/awslabs/fraud-detection-using-machine-learning,NEW,Extended Research,2021-04-09 14:05:59,90.0,57.0,5.0,2019-05-17 17:12:46,2021-03-30 19:43:19,awslabs/fraud-detection-using-machine-learning,active,,2021-04-21 01:25:51.827641
DGFraud,https://github.com/safe-graph/DGFraud,NEW,Extended Research,2021-04-19 07:50:35,297.0,76.0,4.0,2019-11-22 14:02:36,2020-12-26 16:32:18,safe-graph/DGFraud,active,,2021-04-21 01:25:51.827641
fraud-detection-papers,https://github.com/IPL/fraud-detection-papers,NEW,Extended Research,2021-04-05 00:54:01,128.0,32.0,1.0,2017-09-29 02:47:54,2021-02-03 09:47:27,IPL/fraud-detection-papers,active,,2021-04-21 01:25:51.827641
Fraud_Detection_Techniques,https://github.com/wmlba/Fraud_Detection_Techniques,NEW,Extended Research,2021-02-26 00:20:20,60.0,35.0,1.0,2019-02-14 02:27:13,2020-06-14 23:36:47,wmlba/Fraud_Detection_Techniques,active,,2021-04-21 01:25:51.827641
system,https://github.com/BillRun/system,NEW,Extended Research,2021-02-01 12:13:52,84.0,55.0,8.0,2013-04-11 16:14:53,2020-07-02 15:32:31,BillRun/system,active,,2021-04-21 01:25:51.827641
Fraud-detection-using-deep-learning,https://github.com/aaxwaz/Fraud-detection-using-deep-learning,NEW,Extended Research,2021-03-10 20:47:39,103.0,56.0,1.0,2017-06-18 12:35:24,2017-12-06 13:51:54,aaxwaz/Fraud-detection-using-deep-learning,inactive,,2021-04-21 01:25:51.827641
wattnet-fx-trading,https://github.com/Zymrael/wattnet-fx-trading,NEW,Extended Research,2021-04-16 11:55:56,57.0,11.0,1.0,2019-09-13 08:44:27,2020-08-19 05:49:12,Zymrael/wattnet-fx-trading,active,,2021-04-21 01:25:51.827641
High-Frequency-Trading-Model-with-IB,https://github.com/jamesmawm/High-Frequency-Trading-Model-with-IB,NEW,Extended Research,2021-04-20 15:51:47,1831.0,546.0,2.0,2014-05-18 19:20:13,2019-06-21 14:58:07,jamesmawm/High-Frequency-Trading-Model-with-IB,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,2021-04-20 12:17:34,112.0,35.0,2.0,2020-07-05 07:59:38,2021-04-07 07:13:29,TheSnowGuru/PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop,active,,2021-04-21 01:25:51.827641
wtpy,https://github.com/wondertrader/wtpy,NEW,Extended Research,2021-04-20 07:52:20,65.0,19.0,1.0,2020-06-18 01:43:25,2021-04-14 08:51:54,wondertrader/wtpy,active,,2021-04-21 01:25:51.827641
go-quantcup,https://github.com/rdingwall/go-quantcup,NEW,Extended Research,2021-02-07 05:25:04,72.0,36.0,1.0,2015-02-04 10:33:12,2015-06-11 12:50:09,rdingwall/go-quantcup,inactive,,2021-04-21 01:25:51.827641
exchange-core,https://github.com/mzheravin/exchange-core,NEW,Extended Research,2021-04-20 11:07:59,843.0,395.0,6.0,2018-08-05 18:25:16,2020-11-20 15:31:05,mzheravin/exchange-core,active,,2021-04-21 01:25:51.827641
InteractiveBrokers-Algo-System,https://github.com/rediar/InteractiveBrokers-Algo-System,NEW,Extended Research,2021-04-08 10:25:45,151.0,63.0,1.0,2018-01-21 03:09:41,2018-10-25 02:56:15,rediar/InteractiveBrokers-Algo-System,inactive,,2021-04-21 01:25:51.827641
TradingStrategies,https://github.com/SoftAlgoTrade/TradingStrategies,NEW,Extended Research,2021-04-10 14:56:26,119.0,55.0,1.0,2017-05-22 20:46:35,2017-10-29 11:09:37,SoftAlgoTrade/TradingStrategies,inactive,,2021-04-21 01:25:51.827641
algotrading,https://github.com/ivopetiz/algotrading,NEW,Extended Research,2021-04-21 00:00:20,286.0,74.0,3.0,2018-07-10 22:10:41,2021-04-11 22:27:59,ivopetiz/algotrading,active,,2021-04-21 01:25:51.827641
wondertrader,https://github.com/wondertrader/wondertrader,NEW,Extended Research,2021-04-20 07:51:23,242.0,62.0,2.0,2020-03-30 05:43:52,2021-04-14 08:07:18,wondertrader/wondertrader,active,,2021-04-21 01:25:51.827641
roq-api,https://github.com/roq-trading/roq-api,NEW,Extended Research,2021-04-19 02:36:55,141.0,44.0,1.0,2018-03-05 08:37:57,2021-04-15 06:45:00,roq-trading/roq-api,active,,2021-04-21 01:25:51.827641
bot18,https://github.com/carlos8f/bot18,NEW,Extended Research,2021-04-19 06:02:15,159.0,30.0,2.0,2018-05-23 14:22:25,2018-10-17 08:06:21,carlos8f/bot18,inactive,,2021-04-21 01:25:51.827641
crypto-database,https://github.com/ivopetiz/crypto-database,NEW,Extended Research,2021-04-14 20:33:58,55.0,22.0,2.0,2018-02-22 21:34:11,2019-10-04 13:06:18,ivopetiz/crypto-database,active,,2021-04-21 01:25:51.827641
Krypto-trading-bot,https://github.com/ctubio/Krypto-trading-bot,NEW,Extended Research,2021-04-20 23:55:28,2158.0,591.0,49.0,2017-06-13 20:15:54,2021-04-20 20:55:39,ctubio/Krypto-trading-bot,active,,2021-04-21 01:25:51.827641
StockPredictionRNN,https://github.com/dzitkowskik/StockPredictionRNN,NEW,Extended Research,2021-04-06 16:42:38,488.0,212.0,2.0,2015-11-26 19:00:35,2016-05-21 15:51:22,dzitkowskik/StockPredictionRNN,inactive,,2021-04-21 01:25:51.827641
448Project,https://github.com/HujiaYuYoyo/448Project,NEW,Extended Research,2021-04-08 15:37:35,67.0,44.0,4.0,2018-04-14 21:19:21,2018-06-10 09:29:37,HujiaYuYoyo/448Project,inactive,,2021-04-21 01:25:51.827641
spartan,https://github.com/rigtorp/spartan,NEW,Extended Research,2021-04-15 11:13:45,164.0,62.0,1.0,2012-11-22 04:29:42,2015-10-31 03:46:06,rigtorp/spartan,inactive,,2021-04-21 01:25:51.827641
hummingbot_chinese,https://github.com/CoinAlpha/hummingbot_chinese,NEW,Extended Research,2021-04-20 05:40:42,124.0,19.0,4.0,2019-06-05 22:53:04,2021-01-16 01:36:15,CoinAlpha/hummingbot_chinese,active,,2021-04-21 01:25:51.827641
SumZeroTrading,https://github.com/rterp/SumZeroTrading,NEW,Extended Research,2021-04-11 21:34:51,128.0,43.0,1.0,2016-01-19 05:43:31,2018-08-30 22:44:52,rterp/SumZeroTrading,inactive,,2021-04-21 01:25:51.827641
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
algo-trader-tool-suite,https://github.com/K0414/algo-trader-tool-suite,NEW,Extended Research,2021-04-15 04:00:52,58.0,53.0,1.0,2013-10-24 14:57:12,2013-10-24 15:01:56,K0414/algo-trader-tool-suite,inactive,,2021-04-21 01:25:51.827641
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,2021-03-28 15:26:21,50.0,20.0,1.0,2017-11-27 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
example-hftish,https://github.com/alpacahq/example-hftish,NEW,Extended Research,2021-04-17 23:55:53,369.0,164.0,3.0,2019-01-25 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,2021-04-19 14:52:25,463.0,150.0,31.0,2013-12-26 10:22:00,2021-04-19 13:28:11,OpenHFT/OpenHFT,active,,2021-04-21 01:25:51.827641
hft,https://github.com/nickhuangxinyu/hft,NEW,Extended Research,2021-04-18 16:05:09,143.0,68.0,2.0,2019-03-12 14:57:01,2021-02-16 01:41:01,nickhuangxinyu/hft,active,,2021-04-21 01:25:51.827641
HFT-Orderbook,https://github.com/Crypto-toolbox/HFT-Orderbook,NEW,Extended Research,2021-04-18 16:01:42,418.0,140.0,4.0,2017-07-26 08:42:19,2018-08-24 13:35:39,Crypto-toolbox/HFT-Orderbook,inactive,,2021-04-21 01:25:51.827641
HFTrader,https://github.com/DrAshBooth/HFTrader,NEW,Extended Research,2020-10-27 12:52:36,68.0,42.0,0.0,2012-12-03 13:57:19,2012-12-12 17:17:09,DrAshBooth/HFTrader,inactive,,2021-04-21 01:25:51.827641
ITCH,https://github.com/martinobdl/ITCH,NEW,Extended Research,2021-04-20 14:44:37,65.0,26.0,3.0,2019-03-09 18:20:12,2020-07-25 10:24:10,martinobdl/ITCH,active,,2021-04-21 01:25:51.827641
kungfu,https://github.com/kungfu-origin/kungfu,NEW,Extended Research,2021-04-20 12:37:11,2325.0,852.0,7.0,2017-11-15 06:54:01,2020-06-03 12:04:41,kungfu-origin/kungfu,active,,2021-04-21 01:25:51.827641
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
HFT-CNN,https://github.com/ShimShim46/HFT-CNN,NEW,Extended Research,2021-04-16 02:35:23,70.0,17.0,1.0,2018-08-18 06:39:32,2018-11-09 02:29:00,ShimShim46/HFT-CNN,inactive,,2021-04-21 01:25:51.827641
tectonicdb,https://github.com/0b01/tectonicdb,NEW,Extended Research,2021-04-19 16:58:25,332.0,53.0,10.0,2017-10-03 00:34:01,2020-09-08 23:02:20,0b01/tectonicdb,active,,2021-04-21 01:25:51.827641
tribeca,https://github.com/michaelgrosner/tribeca,NEW,Extended Research,2021-04-20 16:40:54,3480.0,890.0,22.0,2015-07-07 18:40:45,2018-02-26 18:01:13,michaelgrosner/tribeca,inactive,,2021-04-21 01:25:51.827641
Chronicle-Accelerate,https://github.com/OpenHFT/Chronicle-Accelerate,NEW,Extended Research,2020-12-11 04:11:30,55.0,12.0,7.0,2018-01-24 08:52:53,2018-08-11 12:11:43,OpenHFT/Chronicle-Accelerate,inactive,,2021-04-21 01:25:51.827641
awesome-fraud-detection-papers,https://github.com/benedekrozemberczki/awesome-fraud-detection-papers,NEW,Extended Research,2021-04-21 01:18:50,857.0,183.0,4.0,2019-05-27 10:23:22,2021-04-03 10:45:01,benedekrozemberczki/awesome-fraud-detection-papers,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,2021-04-08 11:49:34,50.0,25.0,1.0,2016-06-14 13:50:39,2018-04-16 08:48:10,chenhaotian/High-Frequency-Trading-Simulation-System,inactive,,2021-04-21 01:25:51.827641
HFT_Bitcoin,https://github.com/ghgr/HFT_Bitcoin,NEW,Extended Research,2021-04-18 10:57:05,72.0,22.0,1.0,2017-07-27 07:11:48,2017-08-21 14:50:35,ghgr/HFT_Bitcoin,inactive,,2021-04-21 01:25:51.827641
awesome-fraud-detection-papers,https://github.com/benedekrozemberczki/awesome-fraud-detection-papers,NEW,Extended Research,2021-04-21 01:18:50,857.0,183.0,4.0,2019-05-27 10:23:22,2021-04-03 10:45:01,benedekrozemberczki/awesome-fraud-detection-papers,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,2021-04-17 07:52:44,751.0,333.0,1.0,2016-07-21 05:14:14,2017-02-14 16:47:25,rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy,inactive,,
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
Chronicle-Accelerate,https://github.com/OpenHFT/Chronicle-Accelerate,NEW,Extended Research,2020-12-11 04:11:30,55.0,12.0,7.0,2018-01-24 08:52:53,2018-08-11 12:11:43,OpenHFT/Chronicle-Accelerate,inactive,,2021-04-21 01:25:51.827641
kungfu,https://github.com/kungfu-origin/kungfu,NEW,Extended Research,2021-04-20 12:37:11,2325.0,852.0,7.0,2017-11-15 06:54:01,2020-06-03 12:04:41,kungfu-origin/kungfu,active,,2021-04-21 01:25:51.827641
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
HFTrader,https://github.com/DrAshBooth/HFTrader,NEW,Extended Research,2020-10-27 12:52:36,68.0,42.0,0.0,2012-12-03 13:57:19,2012-12-12 17:17:09,DrAshBooth/HFTrader,inactive,,2021-04-21 01:25:51.827641
HFT-Orderbook,https://github.com/Crypto-toolbox/HFT-Orderbook,NEW,Extended Research,2021-04-18 16:01:42,418.0,140.0,4.0,2017-07-26 08:42:19,2018-08-24 13:35:39,Crypto-toolbox/HFT-Orderbook,inactive,,2021-04-21 01:25:51.827641
hft,https://github.com/nickhuangxinyu/hft,NEW,Extended Research,2021-04-18 16:05:09,143.0,68.0,2.0,2019-03-12 14:57:01,2021-02-16 01:41:01,nickhuangxinyu/hft,active,,2021-04-21 01:25:51.827641
OpenHFT,https://github.com/OpenHFT/OpenHFT,NEW,Extended Research,2021-04-19 14:52:25,463.0,150.0,31.0,2013-12-26 10:22:00,2021-04-19 13:28:11,OpenHFT/OpenHFT,active,,2021-04-21 01:25:51.827641
example-hftish,https://github.com/alpacahq/example-hftish,NEW,Extended Research,2021-04-17 23:55:53,369.0,164.0,3.0,2019-01-25 14:56:38,2019-10-25 02:16:27,alpacahq/example-hftish,active,,2021-04-21 01:25:51.827641
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,2021-03-28 15:26:21,50.0,20.0,1.0,2017-11-27 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
algo-trader-tool-suite,https://github.com/K0414/algo-trader-tool-suite,NEW,Extended Research,2021-04-15 04:00:52,58.0,53.0,1.0,2013-10-24 14:57:12,2013-10-24 15:01:56,K0414/algo-trader-tool-suite,inactive,,2021-04-21 01:25:51.827641
avellaneda-stoikov,https://github.com/ragoragino/avellaneda-stoikov,NEW,Extended Research,2021-04-06 09:40:48,56.0,18.0,1.0,2017-10-21 20:53:00,2017-10-30 18:23:27,ragoragino/avellaneda-stoikov,inactive,,2021-04-21 01:25:51.827641
SumZeroTrading,https://github.com/rterp/SumZeroTrading,NEW,Extended Research,2021-04-11 21:34:51,128.0,43.0,1.0,2016-01-19 05:43:31,2018-08-30 22:44:52,rterp/SumZeroTrading,inactive,,2021-04-21 01:25:51.827641
hummingbot_chinese,https://github.com/CoinAlpha/hummingbot_chinese,NEW,Extended Research,2021-04-20 05:40:42,124.0,19.0,4.0,2019-06-05 22:53:04,2021-01-16 01:36:15,CoinAlpha/hummingbot_chinese,active,,2021-04-21 01:25:51.827641
ITCH,https://github.com/martinobdl/ITCH,NEW,Extended Research,2021-04-20 14:44:37,65.0,26.0,3.0,2019-03-09 18:20:12,2020-07-25 10:24:10,martinobdl/ITCH,active,,2021-04-21 01:25:51.827641
Applied Corporate Finance,https://github.com/chenbowen184/Data_Science_in_Applied_Corporate_Finance,Studies the empirical behaviours in stock market.,Extended Research,2021-02-19 13:40:37,8.0,9.0,1.0,2018-01-29 05:14:52,2018-07-19 06:25:36,chen-bowen/Data_Science_in_Applied_Corporate_Finance,inactive,,
High Frequency,https://github.com/cswaney/prickle,A Python toolkit for high-frequency trade research.,Extended Research,2021-03-22 02:19:15,24.0,17.0,2.0,2016-07-06 20:32:21,2018-06-09 10:53:51,cswaney/prickle,inactive,,
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,,
Economic Foundations,https://github.com/SeanMcOwen/FinanceAndPython.com-EconomicFoundations,Basic economic models.,Extended Research,2020-10-06 21:01:59,2.0,3.0,1.0,2017-05-25 02:27:36,2017-06-30 03:53:59,SeanMcOwen/FinanceAndPython.com-EconomicFoundations,inactive,,
Corporate Finance,https://github.com/SeanMcOwen/FinanceAndPython.com-CorporateFinance,Basic corporate finance.,Extended Research,2021-01-16 19:01:31,9.0,4.0,1.0,2017-09-09 03:35:24,2017-09-09 23:04:48,SeanMcOwen/FinanceAndPython.com-CorporateFinance,inactive,,
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,,
Commodity,https://github.com/felipessalvatore/fin2vec/blob/master/src/Commodity2BR.ipynb,Commodity influence over Brazilian stocks.,Extended Research,,,,,,,felipessalvatore/fin2vec,,,
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,,
Mathematical Finance,https://github.com/Auquan/Tutorials,Notebooks for math and financial tutorials.,Extended Research,2021-04-14 13:33:03,665.0,427.0,9.0,2017-01-21 11:24:18,2020-08-01 17:03:32,Auquan/Tutorials,active,,
Computational Finance,https://github.com/lnsongxf/Applied_Computational_Economics_and_Finance,Applied Computational Economics and Finance.,Extended Research,2021-03-07 17:47:01,12.0,13.0,1.0,2017-08-27 03:46:33,2017-08-26 04:26:04,lnsongxf/Applied_Computational_Economics_and_Finance,inactive,,
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,,
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,,
Liquidity and Momentum,https://github.com/mrefermat/quant_finance,Various factors and portfolio constructions.,Extended Research,2021-03-30 00:09:34,31.0,17.0,1.0,2018-08-11 22:59:53,2019-11-12 04:49:01,mrefermat/quant_finance,active,,
freqtrade_bot,https://github.com/michael-fourie/freqtrade_bot,NEW,Extended Research,2021-04-15 09:26:22,58.0,21.0,1.0,2020-12-21 00:14:25,2021-01-07 19:52:54,michael-fourie/freqtrade_bot,active,,2021-04-21 01:25:51.827641
Simulation,https://github.com/chenbowen184/Computational_Finance,Investigating simulations as part of computational finance.,Extended Research,2021-01-12 12:22:31,17.0,12.0,1.0,2018-01-29 05:01:52,2018-08-02 05:56:49,chen-bowen/Computational_Finance,inactive,,
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,,
Critical Transitions,https://github.com/ryanholbrook/critical-transitions,Detecting critical transitions in financial networks with topological data analysis.,Extended Research,2021-01-30 11:50:22,10.0,3.0,1.0,2019-01-22 10:59:50,2019-03-12 18:35:02,ryanholbrook/critical-transitions,inactive,,
Bayesian Finance,https://github.com/marketneutral/alphatools/blob/master/notebooks/pymc3-minimal.ipynb,Notebook PyMC3 implementation.,Extended Research,2021-04-15 13:34:53,234.0,56.0,1.0,2018-08-28 14:45:00,2020-08-06 22:03:47,marketneutral/alphatools,active,,
Financial Economics,https://github.com/rsvp/fecon235/tree/master/nb,Financial Economics Models.,Extended Research,2021-04-10 17:02:20,713.0,277.0,2.0,2014-11-09 04:49:01,2018-12-03 16:30:28,rsvp/fecon235,inactive,,
Backtests,https://github.com/AlgoTraders/stock-analysis-engine,Trading data and algorithms.,Extended Research,2021-04-17 21:38:09,625.0,166.0,3.0,2018-09-16 20:00:36,2020-09-05 13:01:05,AlgoTraders/stock-analysis-engine,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,2020-11-28 03:02:48,25.0,6.0,0.0,2019-01-04 12:30:41,2019-02-18 09:55:21,AlexIoannides/pymc-stochastic-process,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,,,
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,,
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,,
spartan,https://github.com/rigtorp/spartan,NEW,Extended Research,2021-04-15 11:13:45,164.0,62.0,1.0,2012-11-22 04:29:42,2015-10-31 03:46:06,rigtorp/spartan,inactive,,2021-04-21 01:25:51.827641
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,,
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 13:53:42,31.0,19.0,1.0,2016-05-10 11:03:48,2016-05-17 03:44:56,RJT1990/Active-Portfolio-Management-Notes,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,2021-04-06 17:03:06,140.0,62.0,2.0,2017-09-12 13:35:09,2020-08-06 12:35:44,PyDataBlog/Python-for-Data-Science,active,,
AlphaTrading,https://github.com/jerryxyx/AlphaTrading,NEW,Factor and Risk Analysis,2021-04-14 15:16:22,150.0,75.0,1.0,2018-05-18 22:09:52,2018-08-07 18:05:37,jerryxyx/AlphaTrading,inactive,,37:06.3
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,2021-03-20 21:53:18,41.0,28.0,1.0,2018-08-06 16:09:44,2020-11-22 19:02:07,hamaadshah/market_risk_gan_tensorflow,active,,
Pyfolio,https://github.com/quantopian/pyfolio,Portfolio and risk analytics in Python.,Factor and Risk Analysis,2021-04-17 23:14:39,3693.0,1159.0,42.0,2015-06-01 15:31:39,2020-02-28 17:30:19,quantopian/pyfolio,active,,
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
TradeFinexLive,https://github.com/XinFinOrg/TradeFinexLive,NEW,Factor and Risk Analysis,2021-03-18 09:48:52,5.0,11.0,8.0,2018-03-21 10:05:22,2021-03-18 09:48:32,XinFinOrg/TradeFinexLive,active,,23:57.7
-L-,https://github.com/jettbrains/-L-,NEW,Factor and Risk Analysis,2021-03-15 03:05:00,6.0,16.0,1.0,2019-10-28 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,,
Factor Analysis,https://github.com/alpha-miner/alpha-mind/tree/master/notebooks,Factor strategy notebooks.,Factor and Risk Analysis,2021-04-08 19:02:25,172.0,60.0,3.0,2017-05-01 07:36:54,2021-04-07 15:25:27,alpha-miner/alpha-mind,active,,
Performance Analysis,https://github.com/quantopian/alphalens,Performance analysis of predictive (alpha) stock factors.,Factor and Risk Analysis,2021-04-17 23:37:04,1859.0,702.0,17.0,2016-06-03 21:49:15,2020-04-27 18:40:41,quantopian/alphalens,active,,
Stock-Prediction,https://github.com/Ronak-59/Stock-Prediction,NEW,Factor and Risk Analysis,2021-03-26 08:37:47,129.0,65.0,2.0,2018-03-18 04:54:45,2020-02-28 11:43:07,Ronak-59/Stock-Prediction,active,,37:06.3
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,,,
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,2020-11-28 03:02:48,25.0,6.0,0.0,2019-01-04 12:30:41,2019-02-18 09:55:21,AlexIoannides/pymc-stochastic-process,inactive,,
Backtests,https://github.com/AlgoTraders/stock-analysis-engine,Trading data and algorithms.,Extended Research,2021-04-17 21:38:09,625.0,166.0,3.0,2018-09-16 20:00:36,2020-09-05 13:01:05,AlgoTraders/stock-analysis-engine,active,,
Financial Economics,https://github.com/rsvp/fecon235/tree/master/nb,Financial Economics Models.,Extended Research,2021-04-10 17:02:20,713.0,277.0,2.0,2014-11-09 04:49:01,2018-12-03 16:30:28,rsvp/fecon235,inactive,,
Bayesian Finance,https://github.com/marketneutral/alphatools/blob/master/notebooks/pymc3-minimal.ipynb,Notebook PyMC3 implementation.,Extended Research,2021-04-15 13:34:53,234.0,56.0,1.0,2018-08-28 14:45:00,2020-08-06 22:03:47,marketneutral/alphatools,active,,
Critical Transitions,https://github.com/ryanholbrook/critical-transitions,Detecting critical transitions in financial networks with topological data analysis.,Extended Research,2021-01-30 11:50:22,10.0,3.0,1.0,2019-01-22 10:59:50,2019-03-12 18:35:02,ryanholbrook/critical-transitions,inactive,,
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,,
Simulation,https://github.com/chenbowen184/Computational_Finance,Investigating simulations as part of computational finance.,Extended Research,2021-01-12 12:22:31,17.0,12.0,1.0,2018-01-29 05:01:52,2018-08-02 05:56:49,chen-bowen/Computational_Finance,inactive,,
freqtrade_bot,https://github.com/michael-fourie/freqtrade_bot,NEW,Extended Research,2021-04-15 09:26:22,58.0,21.0,1.0,2020-12-21 00:14:25,2021-01-07 19:52:54,michael-fourie/freqtrade_bot,active,,2021-04-21 01:25:51.827641
Liquidity and Momentum,https://github.com/mrefermat/quant_finance,Various factors and portfolio constructions.,Extended Research,2021-03-30 00:09:34,31.0,17.0,1.0,2018-08-11 22:59:53,2019-11-12 04:49:01,mrefermat/quant_finance,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,,
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,,
Mathematical Finance,https://github.com/Auquan/Tutorials,Notebooks for math and financial tutorials.,Extended Research,2021-04-14 13:33:03,665.0,427.0,9.0,2017-01-21 11:24:18,2020-08-01 17:03:32,Auquan/Tutorials,active,,
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,,
Commodity,https://github.com/felipessalvatore/fin2vec/blob/master/src/Commodity2BR.ipynb,Commodity influence over Brazilian stocks.,Extended Research,,,,,,,felipessalvatore/fin2vec,,,
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,,
Corporate Finance,https://github.com/SeanMcOwen/FinanceAndPython.com-CorporateFinance,Basic corporate finance.,Extended Research,2021-01-16 19:01:31,9.0,4.0,1.0,2017-09-09 03:35:24,2017-09-09 23:04:48,SeanMcOwen/FinanceAndPython.com-CorporateFinance,inactive,,
Economic Foundations,https://github.com/SeanMcOwen/FinanceAndPython.com-EconomicFoundations,Basic economic models.,Extended Research,2020-10-06 21:01:59,2.0,3.0,1.0,2017-05-25 02:27:36,2017-06-30 03:53:59,SeanMcOwen/FinanceAndPython.com-EconomicFoundations,inactive,,
High Frequency,https://github.com/cswaney/prickle,A Python toolkit for high-frequency trade research.,Extended Research,2021-03-22 02:19:15,24.0,17.0,2.0,2016-07-06 20:32:21,2018-06-09 10:53:51,cswaney/prickle,inactive,,
448Project,https://github.com/HujiaYuYoyo/448Project,NEW,Extended Research,2021-04-08 15:37:35,67.0,44.0,4.0,2018-04-14 21:19:21,2018-06-10 09:29:37,HujiaYuYoyo/448Project,inactive,,2021-04-21 01:25:51.827641
gym-fx,https://github.com/harveybc/gym-fx,NEW,Extended Research,2021-04-09 22:56:48,153.0,40.0,1.0,2017-02-21 21:04:09,2020-06-03 21:03:14,harveybc/gym-fx,active,,2021-04-21 01:25:51.827641
Krypto-trading-bot,https://github.com/ctubio/Krypto-trading-bot,NEW,Extended Research,2021-04-20 23:55:28,2158.0,591.0,49.0,2017-06-13 20:15:54,2021-04-20 20:55:39,ctubio/Krypto-trading-bot,active,,2021-04-21 01:25:51.827641
ml-fraud-detection,https://github.com/georgymh/ml-fraud-detection,NEW,Extended Research,2021-04-14 11:51:04,120.0,91.0,2.0,2017-04-27 01:48:35,2018-01-31 21:17:26,georgymh/ml-fraud-detection,inactive,,2021-04-21 01:25:51.827641
FraudDetection-Microservices,https://github.com/melofred/FraudDetection-Microservices,NEW,Extended Research,2021-02-16 00:13:03,85.0,49.0,1.0,2016-06-08 23:24:21,2017-01-18 17:52:01,melofred/FraudDetection-Microservices,inactive,,2021-04-21 01:25:51.827641
FX-Trading-with-Python-and-Oanda,https://github.com/anthonyng2/FX-Trading-with-Python-and-Oanda,NEW,Extended Research,2021-02-20 20:49:53,57.0,41.0,1.0,2017-02-23 07:48:12,2017-08-14 03:21:30,anthonyng2/FX-Trading-with-Python-and-Oanda,inactive,,2021-04-21 01:25:51.827641
beymani,https://github.com/pranab/beymani,NEW,Extended Research,2021-04-19 23:31:54,108.0,58.0,0.0,2012-01-04 07:22:01,2021-04-19 14:23:24,pranab/beymani,active,,2021-04-21 01:25:51.827641
graph-fraud-detection-papers,https://github.com/safe-graph/graph-fraud-detection-papers,NEW,Extended Research,2021-04-20 07:25:42,360.0,64.0,2.0,2019-11-21 05:39:23,2021-03-20 21:24:24,safe-graph/graph-fraud-detection-papers,active,,2021-04-21 01:25:51.827641
kafka-fraud-detector,https://github.com/florimondmanca/kafka-fraud-detector,NEW,Extended Research,2021-03-27 11:13:16,59.0,43.0,3.0,2018-09-13 17:36:49,2019-04-29 22:04:23,florimondmanca/kafka-fraud-detector,active,,2021-04-21 01:25:51.827641
math-finance-cheat-sheet,https://github.com/daleroberts/math-finance-cheat-sheet,NEW,Extended Research,2021-04-20 11:13:10,188.0,29.0,1.0,2014-05-02 00:19:01,2016-11-16 05:57:09,daleroberts/math-finance-cheat-sheet,inactive,,2021-04-21 01:25:51.827641
fingerprintjs,https://github.com/fingerprintjs/fingerprintjs,NEW,Extended Research,2021-04-20 22:44:39,13190.0,1602.0,66.0,2015-02-11 08:49:54,2021-04-20 22:21:22,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,2021-04-15 02:34:35,282.0,109.0,3.0,2017-05-22 03:24:35,2020-04-08 03:32:23,philipperemy/FX-1-Minute-Data,active,,2021-04-21 01:25:51.827641
fraud-detection-demo,https://github.com/afedulov/fraud-detection-demo,NEW,Extended Research,2021-04-20 07:15:40,157.0,66.0,2.0,2019-11-04 09:23:17,2021-01-05 19:28:04,afedulov/fraud-detection-demo,active,,2021-04-21 01:25:51.827641
fx_systrade,https://github.com/ryogrid/fx_systrade,NEW,Extended Research,2021-03-29 04:12:56,80.0,29.0,2.0,2015-07-24 11:46:28,2020-10-23 10:17:01,ryogrid/fx_systrade,active,,2021-04-21 01:25:51.827641
ReactiveTraderCloud,https://github.com/AdaptiveConsulting/ReactiveTraderCloud,NEW,Extended Research,2021-04-19 19:04:09,1567.0,496.0,81.0,2015-11-13 19:24:11,2021-04-16 18:21:28,AdaptiveConsulting/ReactiveTraderCloud,active,,2021-04-21 01:25:51.827641
math-php,https://github.com/markrogoyski/math-php,NEW,Extended Research,2021-04-20 11:16:15,1884.0,200.0,17.0,2016-04-03 17:57:14,2020-12-19 19:41:05,markrogoyski/math-php,active,,2021-04-21 01:25:51.827641
finmath-lib,https://github.com/finmath/finmath-lib,NEW,Extended Research,2021-04-20 05:38:28,307.0,124.0,16.0,2013-03-17 10:00:22,2021-03-13 21:37:31,finmath/finmath-lib,active,,2021-04-21 01:25:51.827641
Financial-Formulas-Library-.NET-Standard,https://github.com/srbrettle/Financial-Formulas-Library-.NET-Standard,NEW,Extended Research,2021-04-17 23:15:33,102.0,30.0,2.0,2018-09-01 17:43:37,2019-11-22 12:50:30,srbrettle/Financial-Formulas-Library-.NET-Standard,active,,2021-04-21 01:25:51.827641
fecon236,https://github.com/MathSci/fecon236,NEW,Extended Research,2021-04-10 17:02:50,73.0,43.0,2.0,2018-04-05 19:34:51,2019-01-11 08:07:56,MathSci/fecon236,inactive,,2021-04-21 01:25:51.827641
getIPIntel,https://github.com/blackdotsh/getIPIntel,NEW,Extended Research,2021-04-14 09:55:43,149.0,29.0,4.0,2015-10-02 21:40:50,2021-01-24 01:09:18,blackdotsh/getIPIntel,active,,2021-04-21 01:25:51.827641
MIDAS,https://github.com/Stream-AD/MIDAS,NEW,Extended Research,2021-04-19 02:20:48,602.0,71.0,3.0,2019-10-23 03:50:50,2021-04-11 02:23:01,Stream-AD/MIDAS,active,,2021-04-21 01:25:51.827641
2018-Kaggle-AdTrackingFraud,https://github.com/ShawnyXiao/2018-Kaggle-AdTrackingFraud,NEW,Extended Research,2021-02-20 04:15:05,71.0,23.0,1.0,2018-05-08 09:29:46,2019-01-12 07:57:33,ShawnyXiao/2018-Kaggle-AdTrackingFraud,inactive,,2021-04-21 01:25:51.827641
StockPredictionRNN,https://github.com/dzitkowskik/StockPredictionRNN,NEW,Extended Research,2021-04-06 16:42:38,488.0,212.0,2.0,2015-11-26 19:00:35,2016-05-21 15:51:22,dzitkowskik/StockPredictionRNN,inactive,,2021-04-21 01:25:51.827641
Trading-Bot,https://github.com/RaidasGrisk/Trading-Bot,NEW,Extended Research,2021-04-12 05:40:53,72.0,29.0,1.0,2017-11-27 21:20:40,2018-01-22 21:00:57,RaidasGrisk/Trading-Bot,inactive,,2021-04-21 01:25:51.827641
talkingdata-adtracking-fraud-detection,https://github.com/flowlight0/talkingdata-adtracking-fraud-detection,NEW,Extended Research,2021-04-16 00:20:10,202.0,54.0,1.0,2018-03-21 11:27:31,2018-06-10 15:30:50,flowlight0/talkingdata-adtracking-fraud-detection,inactive,,2021-04-21 01:25:51.827641
tradingrrl,https://github.com/darden1/tradingrrl,NEW,Extended Research,2021-02-19 06:30:45,59.0,33.0,1.0,2017-03-05 07:20:56,2018-11-14 13:19:52,darden1/tradingrrl,inactive,,2021-04-21 01:25:51.827641
Fraud_Detector,https://github.com/kskk02/Fraud_Detector,NEW,Extended Research,2021-01-10 18:28:58,57.0,35.0,1.0,2014-07-03 20:52:51,2015-01-15 22:03:04,kskk02/Fraud_Detector,inactive,,2021-04-21 01:25:51.827641
Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras,https://github.com/curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras,NEW,Extended Research,2021-04-06 22:25:09,340.0,238.0,1.0,2017-06-09 13:58:13,2019-06-28 09:27:45,curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras,active,,2021-04-21 01:25:51.827641
bot18,https://github.com/carlos8f/bot18,NEW,Extended Research,2021-04-19 06:02:15,159.0,30.0,2.0,2018-05-23 14:22:25,2018-10-17 08:06:21,carlos8f/bot18,inactive,,2021-04-21 01:25:51.827641
roq-api,https://github.com/roq-trading/roq-api,NEW,Extended Research,2021-04-19 02:36:55,141.0,44.0,1.0,2018-03-05 08:37:57,2021-04-15 06:45:00,roq-trading/roq-api,active,,2021-04-21 01:25:51.827641
wondertrader,https://github.com/wondertrader/wondertrader,NEW,Extended Research,2021-04-20 07:51:23,242.0,62.0,2.0,2020-03-30 05:43:52,2021-04-14 08:07:18,wondertrader/wondertrader,active,,2021-04-21 01:25:51.827641
algotrading,https://github.com/ivopetiz/algotrading,NEW,Extended Research,2021-04-21 00:00:20,286.0,74.0,3.0,2018-07-10 22:10:41,2021-04-11 22:27:59,ivopetiz/algotrading,active,,2021-04-21 01:25:51.827641
TradingStrategies,https://github.com/SoftAlgoTrade/TradingStrategies,NEW,Extended Research,2021-04-10 14:56:26,119.0,55.0,1.0,2017-05-22 20:46:35,2017-10-29 11:09:37,SoftAlgoTrade/TradingStrategies,inactive,,2021-04-21 01:25:51.827641
exchange-core,https://github.com/mzheravin/exchange-core,NEW,Extended Research,2021-04-20 11:07:59,843.0,395.0,6.0,2018-08-05 18:25:16,2020-11-20 15:31:05,mzheravin/exchange-core,active,,2021-04-21 01:25:51.827641
go-quantcup,https://github.com/rdingwall/go-quantcup,NEW,Extended Research,2021-02-07 05:25:04,72.0,36.0,1.0,2015-02-04 10:33:12,2015-06-11 12:50:09,rdingwall/go-quantcup,inactive,,2021-04-21 01:25:51.827641
wtpy,https://github.com/wondertrader/wtpy,NEW,Extended Research,2021-04-20 07:52:20,65.0,19.0,1.0,2020-06-18 01:43:25,2021-04-14 08:51:54,wondertrader/wtpy,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,2021-04-20 12:17:34,112.0,35.0,2.0,2020-07-05 07:59:38,2021-04-07 07:13:29,TheSnowGuru/PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop,active,,2021-04-21 01:25:51.827641
InteractiveBrokers-Algo-System,https://github.com/rediar/InteractiveBrokers-Algo-System,NEW,Extended Research,2021-04-08 10:25:45,151.0,63.0,1.0,2018-01-21 03:09:41,2018-10-25 02:56:15,rediar/InteractiveBrokers-Algo-System,inactive,,2021-04-21 01:25:51.827641
High-Frequency-Trading-Model-with-IB,https://github.com/jamesmawm/High-Frequency-Trading-Model-with-IB,NEW,Extended Research,2021-04-20 15:51:47,1831.0,546.0,2.0,2014-05-18 19:20:13,2019-06-21 14:58:07,jamesmawm/High-Frequency-Trading-Model-with-IB,active,,2021-04-21 01:25:51.827641
wattnet-fx-trading,https://github.com/Zymrael/wattnet-fx-trading,NEW,Extended Research,2021-04-16 11:55:56,57.0,11.0,1.0,2019-09-13 08:44:27,2020-08-19 05:49:12,Zymrael/wattnet-fx-trading,active,,2021-04-21 01:25:51.827641
Fraud-detection-using-deep-learning,https://github.com/aaxwaz/Fraud-detection-using-deep-learning,NEW,Extended Research,2021-03-10 20:47:39,103.0,56.0,1.0,2017-06-18 12:35:24,2017-12-06 13:51:54,aaxwaz/Fraud-detection-using-deep-learning,inactive,,2021-04-21 01:25:51.827641
system,https://github.com/BillRun/system,NEW,Extended Research,2021-02-01 12:13:52,84.0,55.0,8.0,2013-04-11 16:14:53,2020-07-02 15:32:31,BillRun/system,active,,2021-04-21 01:25:51.827641
Fraud_Detection_Techniques,https://github.com/wmlba/Fraud_Detection_Techniques,NEW,Extended Research,2021-02-26 00:20:20,60.0,35.0,1.0,2019-02-14 02:27:13,2020-06-14 23:36:47,wmlba/Fraud_Detection_Techniques,active,,2021-04-21 01:25:51.827641
fraud-detection-papers,https://github.com/IPL/fraud-detection-papers,NEW,Extended Research,2021-04-05 00:54:01,128.0,32.0,1.0,2017-09-29 02:47:54,2021-02-03 09:47:27,IPL/fraud-detection-papers,active,,2021-04-21 01:25:51.827641
DGFraud,https://github.com/safe-graph/DGFraud,NEW,Extended Research,2021-04-19 07:50:35,297.0,76.0,4.0,2019-11-22 14:02:36,2020-12-26 16:32:18,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,2021-04-09 14:05:59,90.0,57.0,5.0,2019-05-17 17:12:46,2021-03-30 19:43:19,awslabs/fraud-detection-using-machine-learning,active,,2021-04-21 01:25:51.827641
fraud-detection,https://github.com/yazanobeidi/fraud-detection,NEW,Extended Research,2021-04-06 09:02:18,61.0,34.0,1.0,2017-08-04 15:03:47,2017-08-05 15:38:45,yazanobeidi/fraud-detection,inactive,,2021-04-21 01:25:51.827641
crypto-database,https://github.com/ivopetiz/crypto-database,NEW,Extended Research,2021-04-14 20:33:58,55.0,22.0,2.0,2018-02-22 21:34:11,2019-10-04 13:06:18,ivopetiz/crypto-database,active,,2021-04-21 01:25:51.827641
TalkingData,https://github.com/CuteChibiko/TalkingData,NEW,Extended Research,2021-03-27 11:13:00,99.0,39.0,1.0,2018-05-09 15:17:45,2018-05-11 01:32:26,CuteChibiko/TalkingData,inactive,,2021-04-21 01:25:51.827641
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 13:53:42,31.0,19.0,1.0,2016-05-10 11:03:48,2016-05-17 03:44:56,RJT1990/Active-Portfolio-Management-Notes,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 19:02:22,18.0,10.0,1.0,2018-06-26 20:36:47,2019-10-22 21:56:46,ssanderson/convex-optimization-for-finance,active,,
Python for Finance,https://github.com/yhilpisch/py4fi/tree/master/jupyter36,Various financial notebooks.,Factor and Risk Analysis,2021-04-15 02:39:15,1297.0,794.0,1.0,2014-12-15 11:23:34,2018-07-10 06:38:12,yhilpisch/py4fi,inactive,,
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 07:04:38,4.0,5.0,1.0,2017-08-07 14:44:32,2017-08-08 22:52:11,Jorgencr/Alternative-and-Responsible-Investments,inactive,,
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,,
Quant Finance,https://github.com/mrefermat/quant_finance,General quant repository.,Factor and Risk Analysis,2021-03-30 00:09:34,31.0,17.0,1.0,2018-08-11 22:59:53,2019-11-12 04:49:01,mrefermat/quant_finance,active,,
Machine_learning_In_Finance,https://github.com/chaudharigauravi/Machine_learning_In_Finance,NEW,Factor and Risk Analysis,2020-11-27 19:23:33,8.0,2.0,1.0,2019-08-03 04:04:51,2019-08-03 04:05:32,chaudharigauravi/Machine_learning_In_Finance,active,,23:57.7
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,,
MagentoExtensions,https://github.com/5mehulhelp5/MagentoExtensions,NEW,Fixed Income,2021-02-12 08:45:08,106.0,110.0,2.0,2014-07-03 05:45:54,2017-11-24 16:15:49,5mehulhelp5/MagentoExtensions,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,2021-01-03 21:46:55,7.0,5.0,1.0,2017-09-27 19:57:13,2017-09-27 20:00:29,ishank011/gs-quantify-bond-prediction,inactive,,
rating_history,https://github.com/govwiki/rating_history,NEW,Fixed Income,2021-01-23 06:27:24,26.0,13.0,1.0,2017-11-23 22:52:14,2017-12-03 20:42:49,govwiki/rating_history,inactive,,24:33.4
woe,https://github.com/boredbird/woe,NEW,Fixed Income,2021-04-17 07:45:48,225.0,96.0,1.0,2017-09-11 07:15:04,2018-03-01 10:45:40,boredbird/woe,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,,
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
Stock-Prediction,https://github.com/Ronak-59/Stock-Prediction,NEW,Factor and Risk Analysis,2021-03-26 08:37:47,129.0,65.0,2.0,2018-03-18 04:54:45,2020-02-28 11:43:07,Ronak-59/Stock-Prediction,active,,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 07:04:38,4.0,5.0,1.0,2017-08-07 14:44:32,2017-08-08 22:52:11,Jorgencr/Alternative-and-Responsible-Investments,inactive,,
Performance Analysis,https://github.com/quantopian/alphalens,Performance analysis of predictive (alpha) stock factors.,Factor and Risk Analysis,2021-04-17 23:37:04,1859.0,702.0,17.0,2016-06-03 21:49:15,2020-04-27 18:40:41,quantopian/alphalens,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 13:53:42,31.0,19.0,1.0,2016-05-10 11:03:48,2016-05-17 03:44:56,RJT1990/Active-Portfolio-Management-Notes,inactive,,
Factor Analysis,https://github.com/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 03:05:00,6.0,16.0,1.0,2019-10-28 21:50:26,2019-10-28 21:51:19,jettbrains/-L-,active,,23:57.7
TradeFinexLive,https://github.com/XinFinOrg/TradeFinexLive,NEW,Factor and Risk Analysis,2021-03-18 09:48:52,5.0,11.0,8.0,2018-03-21 10:05:22,2021-03-18 09:48:32,XinFinOrg/TradeFinexLive,active,,23:57.7
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
Pyfolio,https://github.com/quantopian/pyfolio,Portfolio and risk analytics in Python.,Factor and Risk Analysis,2021-04-17 23:14:39,3693.0,1159.0,42.0,2015-06-01 15:31:39,2020-02-28 17:30:19,quantopian/pyfolio,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,2021-03-20 21:53:18,41.0,28.0,1.0,2018-08-06 16:09:44,2020-11-22 19:02:07,hamaadshah/market_risk_gan_tensorflow,active,,
AlphaTrading,https://github.com/jerryxyx/AlphaTrading,NEW,Factor and Risk Analysis,2021-04-14 15:16:22,150.0,75.0,1.0,2018-05-18 22:09:52,2018-08-07 18:05:37,jerryxyx/AlphaTrading,inactive,,37:06.3
Risk and Return,https://github.com/PyDataBlog/Python-for-Data-Science/tree/master/Tutorials,Riskiness of portfolios and assets.,Factor and Risk Analysis,2021-04-06 17:03:06,140.0,62.0,2.0,2017-09-12 13:35:09,2020-08-06 12:35:44,PyDataBlog/Python-for-Data-Science,active,,
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/alpha-miner/alpha-mind/tree/master/notebooks,Factor strategy notebooks.,Factor and Risk Analysis,2021-04-08 19:02:25,172.0,60.0,3.0,2017-05-01 07:36:54,2021-04-07 15:25:27,alpha-miner/alpha-mind,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,active,,
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,2021-04-17 22:30:38,1191.0,221.0,6.0,2020-08-30 07:56:22,2020-09-21 04:32:05,tradytics/surpriver,active,3.0,39:24.6
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,2021-04-17 08:06:53,225.0,44.0,2.0,2017-06-18 19:57:17,2021-03-14 22:22:00,miro-ka/mosquito,active,3.0,39:24.6
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,2021-03-31 10:56:44,1165.0,102.0,8.0,2018-08-20 03:13:31,2019-05-23 14:40:50,kkyon/botflow,active,2.0,39:24.6
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,2021-04-17 20:08:36,343.0,186.0,1.0,2019-10-10 09:44:02,2019-10-12 11:38:49,yacoubb/stock-trading-ml,active,3.0,39:24.6
Trend Following,http://inseaddataanalytics.github.io/INSEADAnalytics/ExerciseSet2.html,A futures trend following portfolio investment strategy.,Other Models,,,,,,,,,,
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,2021-04-14 20:27:20,2168.0,681.0,1.0,2016-09-12 18:38:17,2018-08-29 20:27:19,anfederico/clairvoyant,inactive,3.0,
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,2021-04-18 00:08:47,2308.0,712.0,3.0,2019-02-13 16:57:25,2021-04-16 09:41:56,hudson-and-thames/mlfinlab,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,2021-04-12 20:30:26,601.0,388.0,2.0,2019-05-07 11:04:25,2021-01-19 07:51:00,PacktPublishing/Hands-On-Machine-Learning-for-Algorithmic-Trading,active,5.0,39:24.6
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,2021-04-17 15:11:39,182.0,122.0,4.0,2018-03-15 06:28:00,2021-01-14 15:58:03,PacktPublishing/Machine-Learning-for-Finance,active,3.0,39:24.6
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,2021-04-17 15:33:28,281.0,127.0,4.0,2019-11-15 08:51:40,2021-01-21 07:56:08,PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original,active,4.0,39:24.6
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,2021-04-14 05:03:31,251.0,106.0,3.0,2019-09-27 16:13:50,2020-06-13 21:20:26,mfrdixon/ML_Finance_Codes,active,3.0,39:24.6
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,2021-04-12 20:51:51,461.0,54.0,1.0,2016-03-11 19:13:00,2020-12-21 03:54:51,melling/MathAndScienceNotes,active,3.0,39:24.6
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,2021-03-02 19:44:01,31.0,31.0,1.0,2017-03-20 18:54:24,2017-04-25 23:35:20,BlackArbsCEO/Mixture_Models,inactive,2.0,
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,2021-04-18 00:09:27,936.0,347.0,2.0,2017-02-12 04:50:44,2021-02-04 03:48:33,robertmartin8/MachineLearningStocks,active,3.0,
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,2021-04-15 08:59:43,261.0,101.0,1.0,2017-08-30 06:14:59,2019-10-29 08:14:39,PyPatel/Machine-Learning-and-AI-in-Trading,active,2.0,39:24.6
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,2021-04-15 12:34:27,103.0,31.0,2.0,2017-09-03 17:43:03,2018-09-12 18:58:38,amicks/Speculator,inactive,3.0,39:24.6
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,,
woe,https://github.com/boredbird/woe,NEW,Fixed Income,2021-04-17 07:45:48,225.0,96.0,1.0,2017-09-11 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
Corporate Bonds,https://github.com/ishank011/gs-quantify-bond-prediction,Predicting the buying and selling volume of the corporate bonds.,Fixed Income,2021-01-03 21:46:55,7.0,5.0,1.0,2017-09-27 19:57:13,2017-09-27 20:00:29,ishank011/gs-quantify-bond-prediction,inactive,,
MagentoExtensions,https://github.com/5mehulhelp5/MagentoExtensions,NEW,Fixed Income,2021-02-12 08:45:08,106.0,110.0,2.0,2014-07-03 05:45:54,2017-11-24 16:15:49,5mehulhelp5/MagentoExtensions,inactive,,24:33.4
rating_history,https://github.com/govwiki/rating_history,NEW,Fixed Income,2021-01-23 06:27:24,26.0,13.0,1.0,2017-11-23 22:52:14,2017-12-03 20:42:49,govwiki/rating_history,inactive,,24:33.4
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,2021-04-16 10:17:52,385.0,128.0,1.0,2018-07-22 08:14:46,2021-02-17 14:39:30,Hvass-Labs/FinanceOps,active,3.0,
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,2021-04-17 14:08:56,118.0,70.0,2.0,2020-05-10 00:25:56,2021-01-23 17:15:07,tatsath/fin-ml,active,4.0,39:24.6
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,2021-04-15 13:47:20,579.0,130.0,3.0,2016-02-14 00:47:32,2021-02-08 21:35:40,ScottfreeLLC/AlphaPy,active,4.0,39:24.6
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,2021-04-01 20:11:59,205.0,119.0,1.0,2017-07-11 09:09:15,2018-02-21 05:36:35,anthonyng2/Machine-Learning-For-Finance,inactive,2.0,39:24.6
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,2021-04-17 12:01:58,236.0,94.0,1.0,2017-01-17 12:44:52,2017-01-17 12:48:17,AdeelMufti/CryptoBot,inactive,2.0,39:24.6
Mixture Models II,https://github.com/BlackArbsCEO/mixture_model_trading_public,Mixture models and stock trading.,Other Models,2021-03-12 13:21:17,166.0,73.0,1.0,2017-12-11 17:05:38,2020-05-13 23:50:47,BlackArbsCEO/mixture_model_trading_public,active,3.0,
@@ -348,47 +331,64 @@ Microservices-Based-Algorithmic-Trading-System,https://github.com/saeed349/Micro
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,2021-04-15 13:27:22,176.0,95.0,5.0,2018-12-06 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.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,2021-04-17 15:09:02,178.0,65.0,9.0,2019-12-29 05:18:07,2021-04-12 19:37:21,DaveSkender/Stock.Indicators,active,3.0,39:24.6
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,2021-04-08 15:28:17,282.0,117.0,1.0,2018-06-29 21:21:17,2019-02-18 12:34:54,jjakimoto/finance_ml,inactive,1.0,39:24.6
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,2021-04-15 12:34:27,103.0,31.0,2.0,2017-09-03 17:43:03,2018-09-12 18:58:38,amicks/Speculator,inactive,3.0,39:24.6
Machine-Learning-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,2021-04-15 08:59:43,261.0,101.0,1.0,2017-08-30 06:14:59,2019-10-29 08:14:39,PyPatel/Machine-Learning-and-AI-in-Trading,active,2.0,39:24.6
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,2021-04-15 13:47:20,579.0,130.0,3.0,2016-02-14 00:47:32,2021-02-08 21:35:40,ScottfreeLLC/AlphaPy,active,4.0,39:24.6
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,2021-03-02 19:44:01,31.0,31.0,1.0,2017-03-20 18:54:24,2017-04-25 23:35:20,BlackArbsCEO/Mixture_Models,inactive,2.0,
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,2021-04-17 22:30:38,1191.0,221.0,6.0,2020-08-30 07:56:22,2020-09-21 04:32:05,tradytics/surpriver,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,2021-04-18 00:09:27,936.0,347.0,2.0,2017-02-12 04:50:44,2021-02-04 03:48:33,robertmartin8/MachineLearningStocks,active,3.0,
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,2021-03-31 10:56:44,1165.0,102.0,8.0,2018-08-20 03:13:31,2019-05-23 14:40:50,kkyon/botflow,active,2.0,39:24.6
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,2021-04-17 20:08:36,343.0,186.0,1.0,2019-10-10 09:44:02,2019-10-12 11:38:49,yacoubb/stock-trading-ml,active,3.0,39:24.6
Trend Following,http://inseaddataanalytics.github.io/INSEADAnalytics/ExerciseSet2.html,A futures trend following portfolio investment strategy.,Other Models,,,,,,,,,,
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,2021-04-14 20:27:20,2168.0,681.0,1.0,2016-09-12 18:38:17,2018-08-29 20:27:19,anfederico/clairvoyant,inactive,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,2021-04-17 08:06:53,225.0,44.0,2.0,2017-06-18 19:57:17,2021-03-14 22:22:00,miro-ka/mosquito,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,2021-04-12 20:30:26,601.0,388.0,2.0,2019-05-07 11:04:25,2021-01-19 07:51:00,PacktPublishing/Hands-On-Machine-Learning-for-Algorithmic-Trading,active,5.0,39:24.6
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,2021-04-17 15:11:39,182.0,122.0,4.0,2018-03-15 06:28:00,2021-01-14 15:58:03,PacktPublishing/Machine-Learning-for-Finance,active,3.0,39:24.6
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,2021-04-17 15:33:28,281.0,127.0,4.0,2019-11-15 08:51:40,2021-01-21 07:56:08,PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original,active,4.0,39:24.6
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,2021-04-14 05:03:31,251.0,106.0,3.0,2019-09-27 16:13:50,2020-06-13 21:20:26,mfrdixon/ML_Finance_Codes,active,3.0,39:24.6
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,2021-04-12 20:51:51,461.0,54.0,1.0,2016-03-11 19:13:00,2020-12-21 03:54:51,melling/MathAndScienceNotes,active,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,2021-04-18 00:08:47,2308.0,712.0,3.0,2019-02-13 16:57:25,2021-04-16 09:41:56,hudson-and-thames/mlfinlab,active,3.0,39:24.6
Machine Learning in Asset Management,https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3420952,,Personal Papers,,,,,,,,,,
Machine Learning in Asset Management—Part 1: Portfolio Construction—Trading Strategies,https://jfds.pm-research.com/content/2/1/10,,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,,,,,,,,,,
Machine Learning in Asset Management,https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3420952,,Personal Papers,,,,,,,,,,
OLMAR Algorithm,https://github.com/charlessutton/OLMAR/blob/master/Part3.ipynb,Relative importance of each component of the OLMAR algorithm.,Portfolio Selection and Optimisation,2021-04-08 19:07:41,7.0,4.0,1.0,2016-07-26 16:20:10,2016-12-30 11:40:53,charlessutton/OLMAR,inactive,,
Deep Portfolio Theory,https://github.com/tcloaa/Deep-Portfolio-Theory,Autoencoder framework for portfolio selection.,Portfolio Selection and Optimisation,2021-04-06 11:47:13,105.0,57.0,1.0,2017-02-10 09:03:08,2018-03-08 16:47:00,tcloaa/Deep-Portfolio-Theory,inactive,,
Reinforcement Learning,https://github.com/filangel/qtrader,Reinforcement Learning for Portfolio Management.,Portfolio Selection and Optimisation,2021-04-17 02:36:03,366.0,150.0,1.0,2017-10-07 09:14:33,2018-06-26 09:22:27,filangelos/qtrader,inactive,,
PyPortfolioOpt,https://github.com/robertmartin8/PyPortfolioOpt,"Financial portfolio optimisation, including classical efficient frontier and advanced methods.",Portfolio Selection and Optimisation,2021-04-18 00:08:59,1915.0,482.0,17.0,2018-05-29 13:30:30,2021-04-13 13:26:27,robertmartin8/PyPortfolioOpt,active,,
Efficient Frontier,https://github.com/tthustla/efficient_frontier/blob/master/Efficient%20_Frontier_implementation.ipynb,Modern Portfolio Theory.,Portfolio Selection and Optimisation,2021-03-30 00:01:39,104.0,57.0,1.0,2018-02-17 08:19:46,2018-02-27 13:16:57,tthustla/efficient_frontier,inactive,,
riskparity.py,https://github.com/dppalomar/riskparity.py,NEW,Portfolio Selection and Optimisation,2021-04-16 02:34:07,126.0,31.0,2.0,2019-07-13 21:30:55,2021-04-16 02:33:54,dppalomar/riskparity.py,active,,37:19.5
node-finance,https://github.com/albertosantini/node-finance,NEW,Portfolio Selection and Optimisation,2021-04-05 08:01:36,101.0,26.0,3.0,2011-09-17 17:49:56,2021-04-05 08:01:12,albertosantini/node-finance,active,,37:19.5
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,,,,,,,,,,
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,,
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,2021-04-17 02:36:39,235.0,82.0,3.0,2018-11-16 12:20:25,2019-07-04 01:41:46,VivekPa/OptimalPortfolio,active,,
DeepDow,https://github.com/jankrepl/deepdow,Portfolio optimization with deep learning.,Portfolio Selection and Optimisation,2021-04-16 20:23:44,315.0,58.0,2.0,2020-02-02 08:46:33,2021-02-16 18:50:53,jankrepl/deepdow,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,,,,,,,,,,
Policy Gradient Portfolio,https://github.com/ZhengyaoJiang/PGPortfolio,A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem.,Portfolio Selection and Optimisation,2021-04-16 16:49:39,1288.0,628.0,6.0,2017-11-12 16:08:44,2019-05-09 09:50:18,ZhengyaoJiang/PGPortfolio,active,,
Riskfolio-Lib,https://github.com/dcajasn/Riskfolio-Lib,NEW,Portfolio Selection and Optimisation,2021-04-18 00:09:49,380.0,62.0,1.0,2020-03-02 19:49:06,2021-04-01 03:50:59,dcajasn/Riskfolio-Lib,active,,37:19.5
financial-news-dataset,https://github.com/philipperemy/financial-news-dataset,NEW,Textual,2021-04-14 21:24:02,154.0,75.0,1.0,2016-08-23 13:29:07,2021-03-04 06:34:24,philipperemy/financial-news-dataset,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 02:12:50,4.0,2.0,1.0,2018-04-16 22:18:55,2018-06-07 22:01:32,frechfrechfrech/Mutual-Fund-Market-Clusters,inactive,,
awesome-financial-nlp,https://github.com/icoxfog417/awesome-financial-nlp,NEW,Textual,2021-04-12 06:35:02,226.0,36.0,2.0,2019-10-03 03:53:20,2020-02-01 08:28:16,icoxfog417/awesome-financial-nlp,active,,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,,
Financial Sentiment Analysis,https://github.com/EricHe98/Financial-Statements-Text-Analysis,"Sentiment, distance and proportion analysis for trading signals.",Textual,2021-04-15 13:32:11,49.0,27.0,1.0,2017-06-23 00:05:49,2019-01-26 03:35:55,EricHe98/Financial-Statements-Text-Analysis,inactive,,
Extensive NLP,https://github.com/TiesdeKok/Python_NLP_Tutorial/blob/master/NLP_Notebook.ipynb,Comprehensive NLP techniques for accounting research.,Textual,2021-03-21 07:39:02,73.0,42.0,1.0,2017-10-25 07:10:26,2020-06-05 03:28:46,TiesdeKok/Python_NLP_Tutorial,active,,
FinBERT,https://github.com/psnonis/FinBERT,NEW,Textual,2021-04-14 20:54:56,140.0,46.0,3.0,2019-07-09 16:34:27,2020-05-19 02:02:20,psnonis/FinBERT,active,,24:28.5
Financial Statement Sentiment,https://github.com/MAydogdu/TextualAnalysis,Extracting sentiment from financial statements using neural networks.,Textual,2021-03-31 02:10:58,8.0,7.0,1.0,2018-06-04 20:54:14,2018-06-04 20:56:02,MAydogdu/TextualAnalysis,inactive,,
BDCI2019-Negative_Finance_Info_Judge,https://github.com/A-Rain/BDCI2019-Negative_Finance_Info_Judge,NEW,Textual,2021-04-06 09:30:38,107.0,23.0,3.0,2019-12-27 03:49:31,2020-12-04 03:38:57,A-Rain/BDCI2019-Negative_Finance_Info_Judge,active,,24:28.5
Accounting Anomalies,https://github.com/GitiHubi/deepAI/blob/master/GTC_2018_Lab-solutions.ipynb,Using deep-learning frameworks to identify accounting anomalies.,Textual,2021-04-12 07:47:50,110.0,51.0,2.0,2017-05-24 12:36:38,2019-08-07 21:47:08,GitiHubi/deepAI,active,,
NLP Event,https://github.com/yuriak/DLQuant,Applying Deep Learning and NLP in Quantitative Trading.,Textual,2021-04-01 02:16:38,70.0,32.0,1.0,2018-07-02 23:50:52,2019-01-31 14:08:20,yuriak/DLQuant,inactive,,
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,,
FinNLP-Progress,https://github.com/YangLinyi/FinNLP-Progress,NEW,Textual,2021-04-13 00:10:49,164.0,19.0,5.0,2020-05-21 09:59:56,2021-03-23 08:14:07,YangLinyi/FinNLP-Progress,active,,24:28.5
news-emotion,https://github.com/dongyuanxin/news-emotion,NEW,Textual,2021-04-13 13:13:18,245.0,117.0,1.0,2017-09-14 02:59:03,2018-06-11 13:47:51,dongyuanxin/news-emotion,inactive,,24:28.5
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,,,,,,,,,,
DeepDow,https://github.com/jankrepl/deepdow,Portfolio optimization with deep learning.,Portfolio Selection and Optimisation,2021-04-16 20:23:44,315.0,58.0,2.0,2020-02-02 08:46:33,2021-02-16 18:50:53,jankrepl/deepdow,active,,
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,2021-04-17 02:36:39,235.0,82.0,3.0,2018-11-16 12:20:25,2019-07-04 01:41:46,VivekPa/OptimalPortfolio,active,,
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,,,,,,,,,,
Deep Portfolio Theory,https://github.com/tcloaa/Deep-Portfolio-Theory,Autoencoder framework for portfolio selection.,Portfolio Selection and Optimisation,2021-04-06 11:47:13,105.0,57.0,1.0,2017-02-10 09:03:08,2018-03-08 16:47:00,tcloaa/Deep-Portfolio-Theory,inactive,,
riskparity.py,https://github.com/dppalomar/riskparity.py,NEW,Portfolio Selection and Optimisation,2021-04-16 02:34:07,126.0,31.0,2.0,2019-07-13 21:30:55,2021-04-16 02:33:54,dppalomar/riskparity.py,active,,37:19.5
Efficient Frontier,https://github.com/tthustla/efficient_frontier/blob/master/Efficient%20_Frontier_implementation.ipynb,Modern Portfolio Theory.,Portfolio Selection and Optimisation,2021-03-30 00:01:39,104.0,57.0,1.0,2018-02-17 08:19:46,2018-02-27 13:16:57,tthustla/efficient_frontier,inactive,,
PyPortfolioOpt,https://github.com/robertmartin8/PyPortfolioOpt,"Financial portfolio optimisation, including classical efficient frontier and advanced methods.",Portfolio Selection and Optimisation,2021-04-18 00:08:59,1915.0,482.0,17.0,2018-05-29 13:30:30,2021-04-13 13:26:27,robertmartin8/PyPortfolioOpt,active,,
Reinforcement Learning,https://github.com/filangel/qtrader,Reinforcement Learning for Portfolio Management.,Portfolio Selection and Optimisation,2021-04-17 02:36:03,366.0,150.0,1.0,2017-10-07 09:14:33,2018-06-26 09:22:27,filangelos/qtrader,inactive,,
OLMAR Algorithm,https://github.com/charlessutton/OLMAR/blob/master/Part3.ipynb,Relative importance of each component of the OLMAR algorithm.,Portfolio Selection and Optimisation,2021-04-08 19:07:41,7.0,4.0,1.0,2016-07-26 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,2021-04-05 08:01:36,101.0,26.0,3.0,2011-09-17 17:49:56,2021-04-05 08:01:12,albertosantini/node-finance,active,,37:19.5
NLP,https://github.com/toamitesh/NLPinFinance,This project assembles a lot of NLP operations needed for finance domain.,Textual,,,,,,,toamitesh/NLPinFinance,,,
Industry Clustering,https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries,Project to cluster industries according to financial attributes.,Unsupervised,2020-10-06 18:51:22,4.0,5.0,1.0,2017-07-21 02:12:51,2017-07-23 02:53:37,SeanMcOwen/FinanceAndPython.com-ClusteringIndustries,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 02:12:50,4.0,2.0,1.0,2018-04-16 22:18:55,2018-06-07 22:01:32,frechfrechfrech/Mutual-Fund-Market-Clusters,inactive,,
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,,,
Eigen-Portfolio,https://github.com/Gustrigos/Eigen-Portfolio,NEW,Unsupervised,2021-03-26 18:57:30,35.0,11.0,1.0,2018-09-05 05:29:18,2020-04-09 21:40:04,Gustrigos/Eigen-Portfolio,active,,24:29.9
VRA Stock Embedding,https://github.com/ml-hongkong/stock2vec,Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history.,Unsupervised,2020-10-20 11:05:55,32.0,12.0,1.0,2017-06-21 04:47:14,2017-06-21 04:51:13,ml-hongkong/stock2vec,inactive,,
all-classification-templetes-for-ML,https://github.com/sayantann11/all-classification-templetes-for-ML,NEW,Unsupervised,2021-04-12 13:32:32,22.0,14.0,1.0,2020-05-05 10:28:52,2020-05-05 10:30:32,sayantann11/all-classification-templetes-for-ML,active,,24:29.9
Industry Clustering,https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries,Clustering of industries.,Unsupervised,2020-10-06 18:51:22,4.0,5.0,1.0,2017-07-21 02:12:51,2017-07-23 02:53:37,SeanMcOwen/FinanceAndPython.com-ClusteringIndustries,inactive,,
AnomalyDetectionOnRisk,https://github.com/SimonWesterlindVPD/AnomalyDetectionOnRisk,NEW,Unsupervised,2020-08-25 00:02:49,11.0,5.0,1.0,2018-05-31 15:53:02,2018-05-31 16:18:28,SimonWesterlindVPD/AnomalyDetectionOnRisk,inactive,,24:29.9
news-emotion,https://github.com/dongyuanxin/news-emotion,NEW,Textual,2021-04-13 13:13:18,245.0,117.0,1.0,2017-09-14 02:59:03,2018-06-11 13:47:51,dongyuanxin/news-emotion,inactive,,24:28.5
FinNLP-Progress,https://github.com/YangLinyi/FinNLP-Progress,NEW,Textual,2021-04-13 00:10:49,164.0,19.0,5.0,2020-05-21 09:59:56,2021-03-23 08:14:07,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,,
NLP Event,https://github.com/yuriak/DLQuant,Applying Deep Learning and NLP in Quantitative Trading.,Textual,2021-04-01 02:16:38,70.0,32.0,1.0,2018-07-02 23:50:52,2019-01-31 14:08:20,yuriak/DLQuant,inactive,,
BDCI2019-Negative_Finance_Info_Judge,https://github.com/A-Rain/BDCI2019-Negative_Finance_Info_Judge,NEW,Textual,2021-04-06 09:30:38,107.0,23.0,3.0,2019-12-27 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,2021-03-31 02:10:58,8.0,7.0,1.0,2018-06-04 20:54:14,2018-06-04 20:56:02,MAydogdu/TextualAnalysis,inactive,,
Accounting Anomalies,https://github.com/GitiHubi/deepAI/blob/master/GTC_2018_Lab-solutions.ipynb,Using deep-learning frameworks to identify accounting anomalies.,Textual,2021-04-12 07:47:50,110.0,51.0,2.0,2017-05-24 12:36:38,2019-08-07 21:47:08,GitiHubi/deepAI,active,,
Extensive NLP,https://github.com/TiesdeKok/Python_NLP_Tutorial/blob/master/NLP_Notebook.ipynb,Comprehensive NLP techniques for accounting research.,Textual,2021-03-21 07:39:02,73.0,42.0,1.0,2017-10-25 07:10:26,2020-06-05 03:28:46,TiesdeKok/Python_NLP_Tutorial,active,,
Financial Sentiment Analysis,https://github.com/EricHe98/Financial-Statements-Text-Analysis,"Sentiment, distance and proportion analysis for trading signals.",Textual,2021-04-15 13:32:11,49.0,27.0,1.0,2017-06-23 00:05:49,2019-01-26 03:35:55,EricHe98/Financial-Statements-Text-Analysis,inactive,,
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,2021-04-12 06:35:02,226.0,36.0,2.0,2019-10-03 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 02:12:50,4.0,2.0,1.0,2018-04-16 22:18:55,2018-06-07 22:01:32,frechfrechfrech/Mutual-Fund-Market-Clusters,inactive,,
financial-news-dataset,https://github.com/philipperemy/financial-news-dataset,NEW,Textual,2021-04-14 21:24:02,154.0,75.0,1.0,2016-08-23 13:29:07,2021-03-04 06:34:24,philipperemy/financial-news-dataset,active,,24:28.5
FinBERT,https://github.com/psnonis/FinBERT,NEW,Textual,2021-04-14 20:54:56,140.0,46.0,3.0,2019-07-09 16:34:27,2020-05-19 02:02:20,psnonis/FinBERT,active,,24:28.5
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
AnomalyDetectionOnRisk,https://github.com/SimonWesterlindVPD/AnomalyDetectionOnRisk,NEW,Unsupervised,2020-08-25 00:02:49,11.0,5.0,1.0,2018-05-31 15:53:02,2018-05-31 16:18:28,SimonWesterlindVPD/AnomalyDetectionOnRisk,inactive,,24:29.9
Industry Clustering,https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries,Clustering of industries.,Unsupervised,2020-10-06 18:51:22,4.0,5.0,1.0,2017-07-21 02:12:51,2017-07-23 02:53:37,SeanMcOwen/FinanceAndPython.com-ClusteringIndustries,inactive,,
all-classification-templetes-for-ML,https://github.com/sayantann11/all-classification-templetes-for-ML,NEW,Unsupervised,2021-04-12 13:32:32,22.0,14.0,1.0,2020-05-05 10:28:52,2020-05-05 10:30:32,sayantann11/all-classification-templetes-for-ML,active,,24:29.9
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 02:12:50,4.0,2.0,1.0,2018-04-16 22:18:55,2018-06-07 22:01:32,frechfrechfrech/Mutual-Fund-Market-Clusters,inactive,,
Eigen-Portfolio,https://github.com/Gustrigos/Eigen-Portfolio,NEW,Unsupervised,2021-03-26 18:57:30,35.0,11.0,1.0,2018-09-05 05:29:18,2020-04-09 21:40:04,Gustrigos/Eigen-Portfolio,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,,,
Industry Clustering,https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries,Project to cluster industries according to financial attributes.,Unsupervised,2020-10-06 18:51:22,4.0,5.0,1.0,2017-07-21 02:12:51,2017-07-23 02:53:37,SeanMcOwen/FinanceAndPython.com-ClusteringIndustries,inactive,,
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
VRA Stock Embedding,https://github.com/ml-hongkong/stock2vec,Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history.,Unsupervised,2020-10-20 11:05:55,32.0,12.0,1.0,2017-06-21 04:47:14,2017-06-21 04:51:13,ml-hongkong/stock2vec,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,2021-04-04 17:55:35,79.0,37.0,0.0,2017-09-05 19:19:19,2017-09-27 20:42:14,marketneutral/pairs-trading-with-ML,inactive,,
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
11 VC OLS https://github.com/fionawhitefield/venture-capital-ols/blob/master/sec_project.ipynb VC regression. Alternative Finance 2020-10-06 20:56:14 2.0 1.0 1.0 2018-03-29 23:31:13 2018-03-29 23:33:19 fionawhitefield/venture-capital-ols inactive
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 Stanford Advanced Financial Technologies NYU Courant https://fintech.stanford.edu/ https://cims.nyu.edu/ Stanford Advanced Financial Technologies Laboratory Courant Institute of Mathematical Sciences, New York University 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
15 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
16 Oxford Man https://www.oxford-man.ox.ac.uk/ Oxford-Man Institute of Quantitative Finance Colleges Centers and Departments
17 NYU Courant Cornell University https://cims.nyu.edu/ https://www.cornell.edu/ Courant Institute of Mathematical Sciences, New York University Colleges Centers and Departments
18 coursera-deep-learning-specialization Stanford Advanced Financial Technologies https://github.com/amanchadha/coursera-deep-learning-specialization https://fintech.stanford.edu/ NEW Stanford Advanced Financial Technologies Laboratory Courses Colleges Centers and Departments 2021-04-18 00:23:35 232.0 251.0 1.0 2020-06-24 05:59:01 2021-04-03 23:18:17 amanchadha/coursera-deep-learning-specialization active 2021-04-19 01:25:20.750834
19 stanford-cs229 NYU FRE https://github.com/zyxue/stanford-cs229 https://engineering.nyu.edu/academics/departments/finance-and-risk-engineering NEW Finance and Risk Engineering (NYU Tandon) Courses Colleges Centers and Departments 2021-04-16 07:56:54 506.0 288.0 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
20 CourseraML Artificial-Intelligence-and-Machine-Learning https://github.com/kaleko/CourseraML https://github.com/emilmont/Artificial-Intelligence-and-Machine-Learning NEW Courses 2021-04-18 19:11:48 2021-04-14 05:36:35 1873.0 514.0 773.0 299.0 0.0 1.0 2015-12-08 00:03:22 2011-10-16 22:51:06 2018-10-30 23:49:56 2013-07-20 18:21:51 kaleko/CourseraML emilmont/Artificial-Intelligence-and-Machine-Learning inactive 2021-04-19 01:25:20.750834
21 stanford-cs231 ppd599 https://github.com/machinelearningnanodegree/stanford-cs231 https://github.com/gboeing/ppd599 NEW Courses 2021-04-17 20:35:55 2021-04-17 09:35:55 249.0 1069.0 123.0 455.0 4.0 1.0 2016-09-05 01:40:41 2015-09-01 19:59:59 2017-02-03 16:46:46 2021-04-14 20:40:20 machinelearningnanodegree/stanford-cs231 gboeing/ppd599 inactive active 2021-04-19 01:25:20.750834
22 courses MTH594_MachineLearning https://github.com/DataScienceSpecialization/courses https://github.com/diefimov/MTH594_MachineLearning NEW Courses 2021-04-16 09:11:32 2021-04-05 20:59:08 3753.0 328.0 30730.0 135.0 13.0 1.0 2014-01-21 10:22:57 2016-03-09 07:35:19 2016-03-16 12:13:44 2017-03-31 21:46:26 DataScienceSpecialization/courses diefimov/MTH594_MachineLearning inactive 2021-04-19 01:25:20.750834
23 DataCamp ml-mipt https://github.com/wblakecannon/DataCamp https://github.com/girafe-ai/ml-mipt NEW Courses 2021-04-18 21:19:17 2021-04-18 12:22:27 1136.0 509.0 1348.0 374.0 28.0 7.0 2017-09-18 20:51:08 2019-02-01 16:20:39 2020-10-01 20:13:05 2020-11-04 10:56:04 wblakecannon/DataCamp girafe-ai/ml-mipt active 2021-04-19 01:25:20.750834
24 DataScienceSpCourseNotes machine-learning-coursera https://github.com/sux13/DataScienceSpCourseNotes https://github.com/yhyap/machine-learning-coursera NEW Courses 2021-04-13 15:53:08 2020-09-27 02:25:20 706.0 231.0 2405.0 195.0 10.0 1.0 2015-03-09 00:51:32 2013-05-03 09:41:53 2016-02-16 06:12:54 2013-05-05 11:58:38 sux13/DataScienceSpCourseNotes yhyap/machine-learning-coursera inactive 2021-04-19 01:25:20.750834
25 DataScienceCourse Play-with-Machine-Learning-Algorithms https://github.com/briandalessandro/DataScienceCourse https://github.com/liuyubobobo/Play-with-Machine-Learning-Algorithms NEW Courses 2021-04-18 16:05:54 2021-04-17 07:31:08 577.0 1044.0 735.0 563.0 13.0 1.0 2014-10-01 08:45:51 2017-10-17 23:13:24 2020-12-20 13:03:56 2020-11-10 08:26:50 briandalessandro/DataScienceCourse liuyubobobo/Play-with-Machine-Learning-Algorithms active 2021-04-19 01:25:20.750834
26 competitive-data-science stat479-machine-learning-fs19 https://github.com/hse-aml/competitive-data-science https://github.com/rasbt/stat479-machine-learning-fs19 NEW Courses 2021-04-18 22:14:47 2021-03-29 01:40:00 558.0 651.0 570.0 224.0 9.0 1.0 2017-10-28 14:56:44 2019-08-07 07:36:20 2020-06-13 13:44:26 2020-11-28 00:04:07 hse-aml/competitive-data-science rasbt/stat479-machine-learning-fs19 active 2021-04-19 01:25:20.750834
27 datasci_course_materials zero-to-mastery-ml https://github.com/uwescience/datasci_course_materials https://github.com/mrdbourke/zero-to-mastery-ml NEW Courses 2021-04-12 04:45:56 2021-04-18 23:46:43 899.0 686.0 2443.0 1171.0 6.0 14.0 2013-04-12 05:54:36 2019-09-23 04:56:51 2017-03-21 19:21:02 2021-04-13 06:55:10 uwescience/datasci_course_materials mrdbourke/zero-to-mastery-ml inactive active 2021-04-19 01:25:20.750834
28 datascience-box Machine-Learning-by-Andrew-Ng-in-Python https://github.com/rstudio-education/datascience-box https://github.com/Benlau93/Machine-Learning-by-Andrew-Ng-in-Python NEW Courses 2021-04-19 00:54:51 2021-04-18 12:11:32 644.0 237.0 247.0 198.0 15.0 1.0 2017-12-29 22:16:17 2018-12-06 02:20:59 2021-03-26 20:52:29 2019-01-11 04:24:52 rstudio-education/datascience-box Benlau93/Machine-Learning-by-Andrew-Ng-in-Python active inactive 2021-04-19 01:25:20.750834
29 DAT8 machine-learning-programming-assignments-coursera-andrew-ng https://github.com/justmarkham/DAT8 https://github.com/AvaisP/machine-learning-programming-assignments-coursera-andrew-ng NEW Courses 2021-04-09 17:41:18 2021-03-31 05:34:25 1490.0 373.0 967.0 331.0 1.0 2015-08-07 03:35:51 2016-08-20 18:05:22 2016-04-18 18:34:09 2016-09-05 19:14:41 justmarkham/DAT8 AvaisP/machine-learning-programming-assignments-coursera-andrew-ng inactive 2021-04-19 01:25:20.750834
30 Data-Science-Free machine-learning-resources https://github.com/frontbenchHQ/Data-Science-Free https://github.com/datascienceid/machine-learning-resources NEW Courses 2021-02-20 18:17:39 2021-04-18 19:59:17 232.0 235.0 162.0 87.0 4.0 2019-02-10 14:29:29 2018-04-09 15:10:08 2020-07-13 06:36:25 2019-07-30 14:25:27 frontbenchHQ/Data-Science-Free datascienceid/machine-learning-resources active 2021-04-19 01:25:20.750834
31 ML_course https://github.com/epfml/ML_course NEW Courses 2021-04-17 15:51:19 644.0 509.0 29.0 2016-07-13 15:37:38 2021-01-31 23:50:35 epfml/ML_course active 2021-04-19 01:25:20.750834
32 Stanford-Machine-Learning-Course https://github.com/zhouxc/Stanford-Machine-Learning-Course NEW Courses 2021-04-15 22:10:59 513.0 365.0 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
33 machine-learning-coursera-1 https://github.com/Borye/machine-learning-coursera-1 NEW Courses 2021-04-17 00:15:49 1096.0 936.0 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
34 stat479-machine-learning-fs18 https://github.com/rasbt/stat479-machine-learning-fs18 NEW Courses 2021-04-17 11:25:37 419.0 207.0 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
35 Introduction-to-Machine-Learning https://github.com/codeheroku/Introduction-to-Machine-Learning NEW Courses 2021-04-13 04:36:02 272.0 748.0 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
36 ciml https://github.com/hal3/ciml NEW Courses 2021-04-14 13:57:24 775.0 219.0 2.0 2015-08-12 19:26:00 2017-01-20 16:24:19 hal3/ciml inactive 2021-04-19 01:25:20.750834
37 DAT7 https://github.com/justmarkham/DAT7 NEW Courses 2021-03-19 00:43:30 227.0 196.0 1.0 2015-05-16 02:29:54 2016-03-18 16:20:30 justmarkham/DAT7 inactive 2021-04-19 01:25:20.750834
38 mlcourse.ai https://github.com/Yorko/mlcourse.ai NEW Courses 2021-04-18 13:16:05 7581.0 5000.0 190.0 2017-02-27 08:32:20 2021-02-09 10:19:15 Yorko/mlcourse.ai active 2021-04-19 01:25:20.750834
39 Udemy---Machine-Learning https://github.com/jmportilla/Udemy---Machine-Learning NEW Courses 2021-03-31 17:57:54 206.0 405.0 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
40 tensorflow-without-a-phd https://github.com/GoogleCloudPlatform/tensorflow-without-a-phd NEW Courses 2021-04-18 14:47:10 2391.0 828.0 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
41 machine-learning-online-2018 https://github.com/coding-blocks-archives/machine-learning-online-2018 NEW Courses 2021-04-16 13:37:44 255.0 474.0 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
42 deploying-machine-learning-models https://github.com/trainindata/deploying-machine-learning-models NEW Courses 2021-04-15 19:46:26 290.0 2573.0 1.0 2019-01-09 20:30:46 2020-03-15 18:20:30 trainindata/deploying-machine-learning-models active 2021-04-19 01:25:20.750834
43 dive-into-machine-learning https://github.com/hangtwenty/dive-into-machine-learning NEW Courses 2021-04-19 00:35:42 10477.0 1933.0 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
44 machine-learning-course https://github.com/instillai/machine-learning-course NEW Courses 2021-04-18 22:54:06 6638.0 1217.0 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
45 Coursera-Stanford-ML-Python https://github.com/mstampfer/Coursera-Stanford-ML-Python NEW Courses 2021-04-18 21:39:26 404.0 233.0 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
46 mlcourse https://github.com/davidrosenberg/mlcourse NEW Courses 2021-04-16 07:44:40 395.0 215.0 9.0 2015-10-11 22:18:25 2021-03-14 01:19:08 davidrosenberg/mlcourse active 2021-04-19 01:25:20.750834
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machine-learning-course https://github.com/instillai/machine-learning-course NEW Courses 2021-04-18 22:54:06 6638.0 1217.0 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
dive-into-machine-learning https://github.com/hangtwenty/dive-into-machine-learning NEW Courses 2021-04-19 00:35:42 10477.0 1933.0 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 2021-04-15 19:46:26 290.0 2573.0 1.0 2019-01-09 20:30:46 2020-03-15 18:20:30 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 2021-04-16 13:37:44 255.0 474.0 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 2021-04-18 14:47:10 2391.0 828.0 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 2021-03-31 17:57:54 206.0 405.0 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
mlcourse.ai https://github.com/Yorko/mlcourse.ai NEW Courses 2021-04-18 13:16:05 7581.0 5000.0 190.0 2017-02-27 08:32:20 2021-02-09 10:19:15 Yorko/mlcourse.ai active 2021-04-19 01:25:20.750834
Employee Count SEC Filings https://github.com/healthgradient/sec_employee_information_extraction Data 2021-02-27 03:33:31 10.0 2.0 1.0 2018-06-26 23:33:51 2018-08-14 01:31:13 healthgradient/sec_employee_information_extraction inactive
IRS http://social-metrics.org/sox/ Data
EDGAR https://github.com/TiesdeKok/UW_Python_Camp/blob/master/Materials/Session_5/EDGAR_walkthrough.ipynb Data 2021-01-23 19:22:59 11.0 10.0 1.0 2018-06-11 22:51:57 2018-07-10 18:03:52 TiesdeKok/UW_Python_Camp inactive
Web Scraping (FirmAI) https://github.com/firmai/business-machine-learning/blob/master/www.firmai.org/data Data 2021-04-10 17:19:48 577.0 184.0 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 2021-04-13 16:47:32 171.0 61.0 6.0 2018-05-07 15:32:31 2019-05-15 08:32:30 LexPredict/openedgar active
Capital Markets Data https://www.capitalmarketsdata.com/ Data
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
https://github.com/timestocome/StockMarketData https://github.com/timestocome/StockMarketData Data 2021-03-26 22:35:04 7.0 5.0 1.0 2017-05-10 21:49:45 2017-08-06 19:23:18 timestocome/StockMarketData inactive
http://finance.yahoo.com/ http://finance.yahoo.com/ Data
https://stooq.com https://stooq.com Data
Financial Corporate http://raw.rutgers.edu/Corporate%20Financial%20Data.html Data
Rating Industries http://www.ratingshistory.info/ Data
https://fred.stlouisfed.org/ https://fred.stlouisfed.org/ Data
92 Non-financial Corporate http://raw.rutgers.edu/Non-Financial%20Corporate%20Data.html Data
93 cointrader http://finance.yahoo.com/ https://github.com/timolson/cointrader http://finance.yahoo.com/ 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 2021-04-17 21:38:23 340.0 140.0 9.0 2014-06-01 01:14:12 2020-10-22 00:24:50 timolson/cointrader active 2.0 12:49.2
94 CryptoNets https://fred.stlouisfed.org/ https://github.com/microsoft/CryptoNets https://fred.stlouisfed.org/ 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 2021-04-15 08:49:22 155.0 43.0 4.0 2019-06-02 05:48:39 2019-09-12 13:03:05 microsoft/CryptoNets active 2.0 12:49.2
95 Google-Finance-Stock-Data-Analysis Rating Industries https://github.com/hpnhxxwn/Google-Finance-Stock-Data-Analysis http://www.ratingshistory.info/ 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 2020-12-20 08:39:26 70.0 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
96 Advanced ML Financial Corporate https://github.com/BlackArbsCEO/Adv_Fin_ML_Exercises http://raw.rutgers.edu/Corporate%20Financial%20Data.html 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 2021-04-14 09:15:00 976.0 437.0 4.0 2018-04-25 17:22:40 2020-01-16 17:25:41 BlackArbsCEO/Adv_Fin_ML_Exercises active 4.0
97 https://stooq.com https://stooq.com Data
98 https://github.com/timestocome/StockMarketData https://github.com/timestocome/StockMarketData Data 2021-03-26 22:35:04 7.0 5.0 1.0 2017-05-10 21:49:45 2017-08-06 19:23:18 timestocome/StockMarketData inactive
99 Web Scraping (FirmAI) https://github.com/firmai/business-machine-learning/blob/master/www.firmai.org/data Data 2021-04-10 17:19:48 577.0 184.0 2.0 2019-02-19 19:02:59 2020-07-22 16:48:21 firmai/business-machine-learning active
100 Capital Markets Data https://www.capitalmarketsdata.com/ Data
101 Open Edgar https://github.com/LexPredict/openedgar Data 2021-04-13 16:47:32 171.0 61.0 6.0 2018-05-07 15:32:31 2019-05-15 08:32:30 LexPredict/openedgar active
102 EDGAR https://github.com/TiesdeKok/UW_Python_Camp/blob/master/Materials/Session_5/EDGAR_walkthrough.ipynb Data 2021-01-23 19:22:59 11.0 10.0 1.0 2018-06-11 22:51:57 2018-07-10 18:03:52 TiesdeKok/UW_Python_Camp inactive
103 IRS http://social-metrics.org/sox/ Data
104 Employee Count SEC Filings https://github.com/healthgradient/sec_employee_information_extraction Data 2021-02-27 03:33:31 10.0 2.0 1.0 2018-06-26 23:33:51 2018-08-14 01:31:13 healthgradient/sec_employee_information_extraction inactive
105 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
106 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 2021-01-21 00:29:14 72.0 53.0 5.0 2016-09-26 19:42:54 2021-01-20 23:07:40 mapr-demos/finserv-application-blueprint active 2.0 12:49.2
107 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 2021-04-14 09:15:00 976.0 437.0 4.0 2018-04-25 17:22:40 2020-01-16 17:25:41 BlackArbsCEO/Adv_Fin_ML_Exercises active 4.0
108 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 2021-02-07 09:16:53 66.0 21.0 1.0 2017-05-22 17:07:45 2017-05-23 08:06:27 Medha11/Twitter-Trends inactive 3.0 12:49.2
109 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 2021-04-15 08:49:22 155.0 43.0 4.0 2019-06-02 05:48:39 2019-09-12 13:03:05 microsoft/CryptoNets active 2.0 12:49.2
110 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 2021-04-17 21:38:23 340.0 140.0 9.0 2014-06-01 01:14:12 2020-10-22 00:24:50 timolson/cointrader active 2.0 12:49.2
111 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 2020-12-20 08:39:26 70.0 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
112 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
113 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 2021-04-17 20:46:45 295.0 146.0 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
114 TradingGym https://github.com/cove9988/TradingGym NEW Deep Learning And Reinforcement Learning 2021-03-28 05:37:33 112.0 39.0 3.0 2017-11-06 00:50:01 2017-11-15 23:55:32 cove9988/TradingGym inactive 39:11.1
115 Deep-Reinforcement-Learning-in-Trading https://github.com/saeed349/Deep-Reinforcement-Learning-in-Trading Deep reinforcement learning for trading leveraging [openai gym](https://gym.openai.com/) framework. Keras implementation of DQN DDQN (double deep Q network) and DDDQN (dueling double dqn) trained/tested on s&p 500 daily data from 2013 to 2018. approach is described in an article [here](https://www.linkedin.com/pulse/deep-reinforcement-learning-trading-saeed-rahman) Deep Learning And Reinforcement Learning 2021-04-16 11:31:44 139.0 68.0 1.0 2018-05-11 00:52:14 2019-10-26 14:22:44 saeed349/Deep-Reinforcement-Learning-in-Trading active 3.0 3/31/21 8:00
116 Deep Learning III https://github.com/Rachnog/Deep-Trading Algorithmic trading with deep learning experiments. Deep Learning And Reinforcement Learning 2021-04-17 15:48:51 1267.0 677.0 1.0 2016-06-18 18:23:06 2018-08-07 15:24:45 Rachnog/Deep-Trading inactive 5.0
117 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 2021-04-17 10:01:03 557.0 141.0 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
118 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 2021-04-17 19:18:12 575.0 255.0 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
119 rl_trading https://github.com/ucaiado/rl_trading NEW Deep Learning And Reinforcement Learning 2021-04-15 10:00:59 209.0 89.0 1.0 2017-05-29 22:19:00 2017-08-29 14:54:50 ucaiado/rl_trading inactive 39:11.1
120 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 2021-04-17 20:27:51 292.0 128.0 3.0 2017-03-10 10:52:02 2018-06-11 08:07:02 PiSimo/BitcoinForecast inactive 3.0 3/31/21 8:00
121 a3c_trading https://github.com/evgps/a3c_trading NEW Deep Learning And Reinforcement Learning 2021-04-10 12:49:10 311.0 98.0 1.0 2018-06-04 15:30:16 2020-05-23 14:47:54 evgps/a3c_trading active 39:11.1
122 pairstrade-fyp-2019 https://github.com/wywongbd/pairstrade-fyp-2019 NEW Deep Learning And Reinforcement Learning 2021-04-04 23:47:56 110.0 41.0 2.0 2018-09-07 07:51:06 2020-05-13 05:06:51 wywongbd/pairstrade-fyp-2019 active 39:11.1
123 AI Trading https://github.com/borisbanushev/stockpredictionai/blob/master/readme2.md AI to predict stock market movements. Deep Learning And Reinforcement Learning 2021-04-17 12:09:55 2888.0 1390.0 1.0 2019-01-09 08:02:47 2019-02-11 16:32:47 borisbanushev/stockpredictionai inactive 5.0
124 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 2021-04-15 23:05:45 135.0 51.0 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
125 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 2021-04-17 20:08:42 238.0 109.0 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
126 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 2021-04-13 04:34:30 137.0 49.0 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
127 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 2021-03-27 02:19:29 241.0 113.0 1.0 2017-05-18 16:47:11 2017-05-18 16:56:38 shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading inactive 3.0
128 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 2021-04-17 22:27:05 1147.0 330.0 2.0 2018-03-10 11:22:00 2018-09-02 17:21:38 Ceruleanacg/Personae inactive 5.0 3/31/21 8:00
129 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 2021-04-16 20:10:59 349.0 111.0 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
130 LTSM GRU https://github.com/RajatHanda/Finance-Forecasting Stock Market Forecasting using LSTM\GRU. Deep Learning And Reinforcement Learning 2021-03-29 23:59:32 11.0 6.0 1.0 2018-05-13 02:39:32 2019-02-25 00:26:42 RajatHanda/Finance-Forecasting inactive 3.0
131 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 2021-03-08 13:09:27 266.0 145.0 1.0 2017-08-21 16:00:42 2017-08-21 17:23:48 sonaam1234/DeepLearningInFinance inactive 3.0 3/31/21 8:00
132 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 2021-04-17 17:57:34 1888.0 458.0 22.0 2020-07-26 13:18:16 2021-04-11 22:02:16 AI4Finance-LLC/FinRL active 5.0 3/31/21 8:00
133 Trading-Gym https://github.com/thedimlebowski/Trading-Gym NEW Deep Learning And Reinforcement Learning 2021-04-10 08:00:08 507.0 148.0 3.0 2017-06-13 13:14:48 2017-07-10 08:09:30 thedimlebowski/Trading-Gym inactive 39:11.1
134 QLearning_Trading https://github.com/ucaiado/QLearning_Trading NEW Deep Learning And Reinforcement Learning 2021-04-15 19:21:30 434.0 169.0 1.0 2016-08-10 06:02:23 2016-10-15 02:36:09 ucaiado/QLearning_Trading inactive 39:11.1
135 RLQuant https://github.com/yuriak/RLQuant NEW Deep Learning And Reinforcement Learning 2021-04-13 09:52:22 278.0 93.0 1.0 2018-04-05 05:42:44 2018-08-13 04:18:29 yuriak/RLQuant inactive 39:11.1
136 RL III https://github.com/samre12/deep-trading-agent Github -Deep Reinforcement Learning based Trading Agent for Bitcoin. Deep Learning And Reinforcement Learning 2021-04-03 20:48:36 576.0 205.0 1.0 2017-09-21 17:05:19 2018-04-13 16:33:21 samre12/deep-trading-agent inactive 3.0
137 tensortrade https://github.com/tensortrade-org/tensortrade NEW Deep Learning And Reinforcement Learning 2021-04-17 20:13:15 3113.0 718.0 39.0 2019-07-30 21:28:32 2021-03-24 16:25:28 tensortrade-org/tensortrade active 39:11.1
138 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 2021-04-15 10:51:02 321.0 158.0 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
139 Machine-Learning-and-Reinforcement-Learning-in-Finance https://github.com/joelowj/Machine-Learning-and-Reinforcement-Learning-in-Finance NEW Deep Learning And Reinforcement Learning 2021-03-30 09:11:21 175.0 98.0 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
140 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 2021-04-13 09:54:54 181.0 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
LTSM Recurrent https://github.com/VivekPa/AIAlpha OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network. Deep Learning And Reinforcement Learning 2021-04-18 00:09:17 1212.0 371.0 2.0 2018-10-07 03:58:26 2019-08-03 09:00:44 VivekPa/AIAlpha active 4.0
141 Neural Network https://github.com/VivekPa/IntroNeuralNetworks Neural networks to predict stock prices. Deep Learning And Reinforcement Learning 2021-04-18 00:09:39 491.0 176.0 2.0 2018-09-10 06:34:53 2018-11-21 07:39:31 VivekPa/IntroNeuralNetworks inactive 4.0
142 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 2021-04-17 11:19:46 1315.0 454.0 15.0 2019-04-27 18:35:15 2019-10-17 16:25:49 notadamking/RLTrader active 5.0 3/31/21 8:00
143 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 2021-04-11 04:12:38 222.0 86.0 1.0 2018-08-05 02:13:21 2018-10-01 11:25:53 imhgchoi/ARIMA-LSTM-hybrid-corrcoef-predict inactive 3.0
146 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 2021-04-17 22:10:31 3690.0 1554.0 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
147 Deep Learning IV https://github.com/achillesrasquinha/bulbea Bulbea: Deep Learning based Python Library. Deep Learning And Reinforcement Learning 2021-04-18 00:09:11 1469.0 416.0 1.0 2017-03-09 06:11:06 2017-03-19 07:42:49 achillesrasquinha/bulbea inactive 5.0
148 maro https://github.com/microsoft/maro NEW Deep Learning And Reinforcement Learning 2021-04-16 04:24:29 387.0 66.0 18.0 2019-12-27 06:48:27 2021-04-15 08:27:30 microsoft/maro active 39:11.1
149 RL III LTSM Recurrent https://github.com/samre12/deep-trading-agent https://github.com/VivekPa/AIAlpha Github -Deep Reinforcement Learning based Trading Agent for Bitcoin. OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network. Deep Learning And Reinforcement Learning 2021-04-03 20:48:36 2021-04-18 00:09:17 576.0 1212.0 205.0 371.0 1.0 2.0 2017-09-21 17:05:19 2018-10-07 03:58:26 2018-04-13 16:33:21 2019-08-03 09:00:44 samre12/deep-trading-agent VivekPa/AIAlpha inactive active 3.0 4.0
150 FinRL https://github.com/AI4Finance-LLC/FinRL NEW Deep Learning And Reinforcement Learning 2021-04-17 17:57:34 1888.0 458.0 22.0 2020-07-26 13:18:16 2021-04-11 22:02:16 AI4Finance-LLC/FinRL active 13:03.7
RL II https://github.com/deependersingla/deep_trader reinforcement learning on stock market and agent tries to learn trading. Deep Learning And Reinforcement Learning 2021-04-16 02:09:34 1341.0 489.0 3.0 2016-06-11 07:27:10 2018-01-22 14:35:50 deependersingla/deep_trader inactive 3.0
gym-trading https://github.com/hackthemarket/gym-trading NEW Deep Learning And Reinforcement Learning 2021-04-16 13:12:08 583.0 195.0 2.0 2016-12-09 20:46:19 2017-12-24 15:34:37 hackthemarket/gym-trading inactive 39:11.1
Pair-Trading-Reinforcement-Learning https://github.com/wai-i/Pair-Trading-Reinforcement-Learning NEW Deep Learning And Reinforcement Learning 2021-04-10 04:53:28 136.0 56.0 1.0 2019-06-09 22:50:37 2020-01-03 15:36:22 wai-i/Pair-Trading-Reinforcement-Learning active 39:11.1
TradingGym https://github.com/Yvictor/TradingGym NEW Deep Learning And Reinforcement Learning 2021-04-17 15:05:15 848.0 239.0 2.0 2017-05-01 13:53:32 2018-02-14 13:58:18 Yvictor/TradingGym inactive 39:11.1
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 8.0 5.0 2019-01-16 00:43:36 2020-03-19 20:28:08 gstenger98/rl-finance active 2.0
RL https://github.com/kh-kim/stock_market_reinforcement_learning OpenGym with Deep Q-learning and Policy Gradient. Deep Learning And Reinforcement Learning 2021-04-12 20:38:31 716.0 298.0 1.0 2016-10-04 14:42:19 2016-12-23 07:34:08 kh-kim/stock_market_reinforcement_learning inactive 2.0
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 2021-04-16 04:08:23 280.0 102.0 1.0 2018-09-29 23:38:06 2021-03-18 03:16:36 LastAncientOne/Deep-Learning-Machine-Learning-Stock active 3.0 3/31/21 8:00
RL IV https://github.com/jjakimoto/DQN Reinforcement Learning for finance. Deep Learning And Reinforcement Learning 2021-04-05 11:42:45 142.0 55.0 1.0 2016-10-21 02:47:17 2017-04-07 08:11:57 jjakimoto/DQN inactive
151 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 2021-04-03 22:50:43 141.0 44.0 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
152 tensortrade RL IV https://github.com/tensortrade-org/tensortrade https://github.com/jjakimoto/DQN NEW Reinforcement Learning for finance. Deep Learning And Reinforcement Learning 2021-04-17 20:13:15 2021-04-05 11:42:45 3113.0 142.0 718.0 55.0 39.0 1.0 2019-07-30 21:28:32 2016-10-21 02:47:17 2021-03-24 16:25:28 2017-04-07 08:11:57 tensortrade-org/tensortrade jjakimoto/DQN active inactive 39:11.1
153 Advanced-Deep-Trading RL https://github.com/Rachnog/Advanced-Deep-Trading https://github.com/kh-kim/stock_market_reinforcement_learning 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. OpenGym with Deep Q-learning and Policy Gradient. Deep Learning And Reinforcement Learning 2021-04-15 10:51:02 2021-04-12 20:38:31 321.0 716.0 158.0 298.0 2.0 1.0 2019-02-16 21:18:00 2016-10-04 14:42:19 2020-11-29 20:12:59 2016-12-23 07:34:08 Rachnog/Advanced-Deep-Trading kh-kim/stock_market_reinforcement_learning active inactive 3.0 2.0 3/31/21 8:00
154 RLQuant RL V https://github.com/yuriak/RLQuant https://github.com/gstenger98/rl-finance NEW Building an Agent to Trade with Reinforcement Learning. Deep Learning And Reinforcement Learning 2021-04-13 09:52:22 2021-04-08 18:57:53 278.0 33.0 93.0 8.0 1.0 5.0 2018-04-05 05:42:44 2019-01-16 00:43:36 2018-08-13 04:18:29 2020-03-19 20:28:08 yuriak/RLQuant gstenger98/rl-finance inactive active 2.0 39:11.1
155 Trading-Gym Deep-Learning-Machine-Learning-Stock https://github.com/thedimlebowski/Trading-Gym https://github.com/LastAncientOne/Deep-Learning-Machine-Learning-Stock NEW 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 2021-04-10 08:00:08 2021-04-16 04:08:23 507.0 280.0 148.0 102.0 3.0 1.0 2017-06-13 13:14:48 2018-09-29 23:38:06 2017-07-10 08:09:30 2021-03-18 03:16:36 thedimlebowski/Trading-Gym LastAncientOne/Deep-Learning-Machine-Learning-Stock inactive active 3.0 39:11.1 3/31/21 8:00
156 Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020 Pair-Trading-Reinforcement-Learning https://github.com/AI4Finance-LLC/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020 https://github.com/wai-i/Pair-Trading-Reinforcement-Learning 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. NEW Deep Learning And Reinforcement Learning 2021-04-17 19:18:12 2021-04-10 04:53:28 575.0 136.0 255.0 56.0 6.0 1.0 2020-07-26 13:12:53 2019-06-09 22:50:37 2021-01-21 18:11:59 2020-01-03 15:36:22 AI4Finance-LLC/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020 wai-i/Pair-Trading-Reinforcement-Learning active 4.0 3/31/21 8:00 39:11.1
157 trading-bot gym-trading https://github.com/pskrunner14/trading-bot https://github.com/hackthemarket/gym-trading 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 NEW Deep Learning And Reinforcement Learning 2021-04-17 20:46:45 2021-04-16 13:12:08 295.0 583.0 146.0 195.0 1.0 2.0 2018-08-13 10:44:08 2016-12-09 20:46:19 2020-01-23 04:41:20 2017-12-24 15:34:37 pskrunner14/trading-bot hackthemarket/gym-trading active inactive 3.0 3/31/21 8:00 39:11.1
158 TradingGym RL II https://github.com/cove9988/TradingGym https://github.com/deependersingla/deep_trader NEW reinforcement learning on stock market and agent tries to learn trading. Deep Learning And Reinforcement Learning 2021-03-28 05:37:33 2021-04-16 02:09:34 112.0 1341.0 39.0 489.0 3.0 2017-11-06 00:50:01 2016-06-11 07:27:10 2017-11-15 23:55:32 2018-01-22 14:35:50 cove9988/TradingGym deependersingla/deep_trader inactive 3.0 39:11.1
159 Deep-Reinforcement-Learning-in-Trading TradingGym https://github.com/saeed349/Deep-Reinforcement-Learning-in-Trading https://github.com/Yvictor/TradingGym Deep reinforcement learning for trading leveraging [openai gym](https://gym.openai.com/) framework. Keras implementation of DQN DDQN (double deep Q network) and DDDQN (dueling double dqn) trained/tested on s&p 500 daily data from 2013 to 2018. approach is described in an article [here](https://www.linkedin.com/pulse/deep-reinforcement-learning-trading-saeed-rahman) NEW Deep Learning And Reinforcement Learning 2021-04-16 11:31:44 2021-04-17 15:05:15 139.0 848.0 68.0 239.0 1.0 2.0 2018-05-11 00:52:14 2017-05-01 13:53:32 2019-10-26 14:22:44 2018-02-14 13:58:18 saeed349/Deep-Reinforcement-Learning-in-Trading Yvictor/TradingGym active inactive 3.0 3/31/21 8:00 39:11.1
160 Deep Learning III StockSharp https://github.com/Rachnog/Deep-Trading https://github.com/StockSharp/StockSharp Algorithmic trading with deep learning experiments. NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-04-17 15:48:51 2021-04-17 15:11:02 1267.0 3938.0 677.0 1223.0 1.0 17.0 2016-06-18 18:23:06 2014-12-08 07:53:44 2018-08-07 15:24:45 2021-04-07 10:55:36 Rachnog/Deep-Trading StockSharp/StockSharp inactive active 5.0 23:51.4
161 awesome-deep-trading Derivative Markets https://github.com/cbailes/awesome-deep-trading https://github.com/broughtj/Fin6470/tree/master/Notebooks 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 The economics of futures, futures, options, and swaps. Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-04-17 10:01:03 2021-04-15 16:03:10 557.0 8.0 141.0 8.0 1.0 2018-11-26 03:23:04 2016-02-09 05:30:27 2021-01-01 09:41:21 2021-04-15 16:02:59 cbailes/awesome-deep-trading broughtj/Fin6470 active 4.0 3/31/21 8:00
162 rl_trading Hull White https://github.com/ucaiado/rl_trading https://github.com/rstreppa/valuation-callables-HullWhite/blob/master/CallableBond_HullWhite.ipynb NEW Callable Bond, Hull White. Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-04-15 10:00:59 2020-10-06 20:37:16 209.0 4.0 89.0 6.0 1.0 2017-05-29 22:19:00 2018-06-06 22:06:06 2017-08-29 14:54:50 2018-06-06 22:27:02 ucaiado/rl_trading rstreppa/valuation-callables-HullWhite inactive 39:11.1
163 BitcoinForecast FinancePy https://github.com/PiSimo/BitcoinForecast https://github.com/domokane/FinancePy 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 NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-04-17 20:27:51 2021-04-15 13:03:10 292.0 446.0 128.0 73.0 3.0 6.0 2017-03-10 10:52:02 2019-10-27 15:04:56 2018-06-11 08:07:02 2021-03-11 21:40:14 PiSimo/BitcoinForecast domokane/FinancePy inactive active 3.0 3/31/21 8:00 23:51.4
164 a3c_trading Derivatives Python https://github.com/evgps/a3c_trading https://github.com/yhilpisch/dawp/tree/master/python36 NEW Derivative analytics with Python. Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-04-10 12:49:10 2021-04-13 06:09:33 311.0 389.0 98.0 299.0 1.0 2018-06-04 15:30:16 2015-07-09 12:27:29 2020-05-23 14:47:54 2021-02-22 13:29:18 evgps/a3c_trading yhilpisch/dawp active 39:11.1
165 RL Trading robin_stocks https://colab.research.google.com/drive/1FzLCI0AO3c7A4bp9Fi01UwXeoc7BN8sW https://github.com/jmfernandes/robin_stocks A collection of 25+ Reinforcement Learning Trading Strategies -Google Colab. NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-04-18 00:09:22 1019.0 261.0 34.0 2018-02-23 00:49:37 2021-02-27 17:48:43 jmfernandes/robin_stocks active 4.0 23:51.4
166 pairstrade-fyp-2019 gs-quant https://github.com/wywongbd/pairstrade-fyp-2019 https://github.com/goldmansachs/gs-quant NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-04-04 23:47:56 2021-04-17 08:46:05 110.0 590.0 41.0 170.0 2.0 12.0 2018-09-07 07:51:06 2018-12-14 21:10:40 2020-05-13 05:06:51 2021-03-25 15:33:58 wywongbd/pairstrade-fyp-2019 goldmansachs/gs-quant active 39:11.1 23:51.4
167 QLearning_Trading Computational Derivatives https://github.com/ucaiado/QLearning_Trading https://github.com/chenbowen184/Computational_Finance NEW Projects focusing on investigating simulations and computational techniques applied in finance. Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-04-15 19:21:30 2021-01-12 12:22:31 434.0 17.0 169.0 12.0 1.0 2016-08-10 06:02:23 2018-01-29 05:01:52 2016-10-15 02:36:09 2018-08-02 05:56:49 ucaiado/QLearning_Trading chen-bowen/Computational_Finance inactive 39:11.1
168 AutomatedStockTrading-DeepQ-Learning Options_Data_Science https://github.com/sachink2010/AutomatedStockTrading-DeepQ-Learning https://github.com/yugedata/Options_Data_Science 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 NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-04-15 23:05:45 2021-04-16 17:35:45 135.0 237.0 51.0 39.0 2.0 1.0 2019-02-23 12:01:21 2020-12-09 04:51:20 2020-02-25 18:16:34 2021-04-05 03:55:22 sachink2010/AutomatedStockTrading-DeepQ-Learning yugedata/Options_Data_Science active 3.0 3/31/21 8:00 23:51.4
169 deep-RL-trading Options https://github.com/golsun/deep-RL-trading https://github.com/QuantConnect/Tutorials/tree/master/06%20Introduction%20to%20Options%5B%5D trading game comparing RNN vs CNN vs MLP based on [paper](https://arxiv.org/abs/1803.03916) Introduction to options. Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-04-17 20:08:42 2021-04-16 12:14:41 238.0 336.0 109.0 165.0 1.0 36.0 2018-02-25 17:41:42 2017-07-28 15:48:29 2020-12-01 22:06:39 2021-03-17 17:17:08 golsun/deep-RL-trading QuantConnect/Tutorials active 3.0 3/31/21 8:00
170 DQN-DDPG_Stock_Trading MarketAnalysis https://github.com/AI4Finance-LLC/DQN-DDPG_Stock_Trading https://github.com/Poseyy/MarketAnalysis merged into FinRL library and uses [gym](https://gym.openai.com/) and implementation of DQN NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-04-13 04:34:30 2021-04-17 17:32:33 137.0 171.0 49.0 77.0 4.0 1.0 2018-09-19 03:17:06 2019-03-28 19:46:34 2020-11-26 16:58:00 2020-08-06 05:15:46 AI4Finance-LLC/DQN-DDPG_Stock_Trading Poseyy/MarketAnalysis active 3.0 3/31/21 8:00 23:51.4
171 Pair Trading RL Options https://github.com/shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading https://github.com/PHBS/2018.M1.ASP/tree/master/py Using deep actor-critic model to learn best strategies in pair trading. Black Scholes and Copula. Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-03-27 02:19:29 241.0 113.0 1.0 2017-05-18 16:47:11 2017-05-18 16:56:38 shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading PHBS/2018.M1.ASP inactive 3.0
172 AI Trading Volatility and Variance Derivatives https://github.com/borisbanushev/stockpredictionai/blob/master/readme2.md https://github.com/yhilpisch/lvvd/tree/master/lvvd AI to predict stock market movements. Volatility derivatives analytics. Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-04-17 12:09:55 2021-04-15 06:00:21 2888.0 80.0 1390.0 78.0 1.0 2019-01-09 08:02:47 2016-10-21 04:12:50 2019-02-11 16:32:47 2021-02-22 13:32:00 borisbanushev/stockpredictionai yhilpisch/lvvd inactive active 5.0
173 Personae Black Scholes https://github.com/Ceruleanacg/Personae https://github.com/irajwani/numerical_methods_python/blob/master/black_scholes.ipynb 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 Options pricing. Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-04-17 22:27:05 2020-10-06 20:36:29 1147.0 1.0 330.0 2.0 2.0 0.0 2018-03-10 11:22:00 2017-12-09 18:50:20 2018-09-02 17:21:38 2018-07-09 09:48:36 Ceruleanacg/Personae irajwani/numerical_methods_python inactive 5.0 3/31/21 8:00
174 crypto-rl fast_arrow https://github.com/sadighian/crypto-rl https://github.com/westonplatter/fast_arrow 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) NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-04-16 20:10:59 2021-04-15 21:23:41 349.0 128.0 111.0 42.0 1.0 5.0 2018-06-21 01:06:01 2018-07-19 23:15:25 2020-11-05 11:08:19 2020-04-18 18:05:37 sadighian/crypto-rl westonplatter/fast_arrow active 3.0 3/31/21 8:00 23:51.4
175 LTSM GRU Derman https://github.com/RajatHanda/Finance-Forecasting https://github.com/rstreppa/valuation-convertibles-Goldman1994/blob/master/ConvertibleBond_Goldman1994_Derman.ipynb Stock Market Forecasting using LSTM\GRU. Binomial tree for American call. Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-03-29 23:59:32 2020-10-06 20:37:15 11.0 1.0 6.0 3.0 1.0 2018-05-13 02:39:32 2018-05-18 18:08:16 2019-02-25 00:26:42 2018-09-21 19:59:01 RajatHanda/Finance-Forecasting rstreppa/valuation-convertibles-Goldman1994 inactive 3.0
176 DeepLearningInFinance QLNet https://github.com/sonaam1234/DeepLearningInFinance https://github.com/amaggiulli/QLNet 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. NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-03-08 13:09:27 2021-04-13 07:58:56 266.0 259.0 145.0 134.0 1.0 13.0 2017-08-21 16:00:42 2013-08-22 14:51:43 2017-08-21 17:23:48 2021-03-02 18:39:41 sonaam1234/DeepLearningInFinance amaggiulli/QLNet inactive active 3.0 3/31/21 8:00 23:51.4
177 FinRL-Library openAlgo https://github.com/AI4Finance-LLC/FinRL-Library https://github.com/mtompkins/openAlgo 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 Derivatives and Hedging 2021-04-17 17:57:34 2021-04-03 09:17:16 1888.0 160.0 458.0 82.0 22.0 2.0 2020-07-26 13:18:16 2013-05-28 14:46:53 2021-04-11 22:02:16 2017-03-24 20:00:24 AI4Finance-LLC/FinRL mtompkins/openAlgo active inactive 5.0 3/31/21 8:00 23:51.4
178 Strata https://github.com/OpenGamma/Strata NEW Derivatives and Hedging 2021-04-17 09:39:09 610.0 218.0 41.0 2014-06-16 11:45:55 2021-04-16 13:48:36 OpenGamma/Strata active 23:51.4
179 wallstreet https://github.com/mcdallas/wallstreet NEW Derivatives and Hedging 2021-04-17 17:04:35 575.0 126.0 2.0 2016-01-20 22:03:39 2019-08-09 23:14:52 mcdallas/wallstreet active 23:51.4
180 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
181 trade-frame https://github.com/rburkholder/trade-frame NEW Derivatives and Hedging 2021-04-17 20:53:12 190.0 79.0 1.0 2016-07-24 15:25:30 2020-11-09 01:16:46 rburkholder/trade-frame active 23:51.4
182 quant-trading https://github.com/je-suis-tm/quant-trading NEW Derivatives and Hedging 2021-04-18 00:09:02 1789.0 478.0 2.0 2018-04-03 14:08:14 2021-04-13 18:37:15 je-suis-tm/quant-trading active 23:51.4
183 huobi_futures_Python https://github.com/hbdmapi/huobi_futures_Python NEW Derivatives and Hedging 2021-04-17 22:08:56 141.0 73.0 2.0 2020-01-14 07:21:39 2021-04-15 07:10:04 hbdmapi/huobi_futures_Python active 23:51.4
tda-api https://github.com/alexgolec/tda-api NEW Derivatives and Hedging 2021-04-17 21:23:28 653.0 164.0 13.0 2020-04-03 21:19:12 2021-04-15 03:16:56 alexgolec/tda-api active 23:51.4
184 paperbroker https://github.com/philipodonnell/paperbroker NEW Derivatives and Hedging 2021-04-17 02:37:05 176.0 48.0 3.0 2017-07-06 02:04:51 2018-04-08 18:37:57 philipodonnell/paperbroker inactive 23:51.4
185 optopsy https://github.com/michaelchu/optopsy NEW Derivatives and Hedging 2021-04-17 02:35:52 395.0 90.0 3.0 2017-09-17 01:49:54 2020-12-07 17:00:58 michaelchu/optopsy active 23:51.4
186 Reinforcement Learning https://github.com/FinTechies/HedgingRL Hedging portfolios with reinforcement learning. Derivatives and Hedging 2021-01-20 08:12:13 16.0 9.0 1.0 2017-04-21 10:58:56 2017-08-02 21:41:06 FinTechies/HedgingRL inactive
187 Options-Trading-Strategies-in-Python https://github.com/PyPatel/Options-Trading-Strategies-in-Python NEW Derivatives and Hedging 2021-04-18 00:09:56 319.0 135.0 1.0 2017-08-30 06:00:15 2019-08-21 15:47:57 PyPatel/Options-Trading-Strategies-in-Python active 23:51.4
188 algotrader tda-api https://github.com/torreyleonard/algotrader https://github.com/alexgolec/tda-api NEW Derivatives and Hedging 2021-04-17 22:11:10 2021-04-17 21:23:28 478.0 653.0 102.0 164.0 12.0 13.0 2018-04-10 02:31:26 2020-04-03 21:19:12 2020-08-27 08:16:44 2021-04-15 03:16:56 torreyleonard/algotrader alexgolec/tda-api active 23:51.4
189 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 2021-02-27 08:50:16 2.0 3.0 1.0 2018-05-22 18:27:26 2018-05-22 18:30:24 rstreppa/valuation-OptionStrategies inactive
190 tai https://github.com/fremantle-industries/tai NEW Derivatives and Hedging 2021-04-17 22:21:33 273.0 44.0 6.0 2017-07-28 03:07:18 2021-04-17 22:21:08 fremantle-industries/tai active 23:51.4
191 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
193 akshare https://github.com/jindaxiang/akshare NEW Derivatives and Hedging 2021-04-17 13:34:08 3397.0 687.0 11.0 2019-10-01 07:34:12 2021-04-17 13:34:05 jindaxiang/akshare active 23:51.4
194 trading-server https://github.com/s-brez/trading-server NEW Derivatives and Hedging 2021-04-17 02:36:55 211.0 51.0 2.0 2019-03-05 03:06:19 2021-03-08 02:37:08 s-brez/trading-server active 23:51.4
195 tf-quant-finance https://github.com/google/tf-quant-finance NEW Derivatives and Hedging 2021-04-18 00:08:51 2573.0 333.0 28.0 2019-07-24 16:09:50 2021-04-14 22:53:23 google/tf-quant-finance active 23:51.4
196 algotrader https://github.com/torreyleonard/algotrader NEW Derivatives and Hedging 2021-04-17 22:11:10 478.0 102.0 12.0 2018-04-10 02:31:26 2020-08-27 08:16:44 torreyleonard/algotrader active 23:51.4
197 AlgorithmicTrading https://github.com/JerBouma/AlgorithmicTrading NEW Derivatives and Hedging 2021-04-18 00:10:04 173.0 54.0 1.0 2019-03-14 09:33:37 2021-02-03 22:29:07 JerBouma/AlgorithmicTrading active 23:51.4
wallstreet https://github.com/mcdallas/wallstreet NEW Derivatives and Hedging 2021-04-17 17:04:35 575.0 126.0 2.0 2016-01-20 22:03:39 2019-08-09 23:14:52 mcdallas/wallstreet active 23:51.4
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
openAlgo https://github.com/mtompkins/openAlgo NEW Derivatives and Hedging 2021-04-03 09:17:16 160.0 82.0 2.0 2013-05-28 14:46:53 2017-03-24 20:00:24 mtompkins/openAlgo inactive 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
StockSharp https://github.com/StockSharp/StockSharp NEW Derivatives and Hedging 2021-04-17 15:11:02 3938.0 1223.0 17.0 2014-12-08 07:53:44 2021-04-07 10:55:36 StockSharp/StockSharp active 23:51.4
Hull White https://github.com/rstreppa/valuation-callables-HullWhite/blob/master/CallableBond_HullWhite.ipynb Callable Bond, Hull White. Derivatives and Hedging 2020-10-06 20:37:16 4.0 6.0 1.0 2018-06-06 22:06:06 2018-06-06 22:27:02 rstreppa/valuation-callables-HullWhite inactive
FinancePy https://github.com/domokane/FinancePy NEW Derivatives and Hedging 2021-04-15 13:03:10 446.0 73.0 6.0 2019-10-27 15:04:56 2021-03-11 21:40:14 domokane/FinancePy active 23:51.4
Derivatives Python https://github.com/yhilpisch/dawp/tree/master/python36 Derivative analytics with Python. Derivatives and Hedging 2021-04-13 06:09:33 389.0 299.0 1.0 2015-07-09 12:27:29 2021-02-22 13:29:18 yhilpisch/dawp active
robin_stocks https://github.com/jmfernandes/robin_stocks NEW Derivatives and Hedging 2021-04-18 00:09:22 1019.0 261.0 34.0 2018-02-23 00:49:37 2021-02-27 17:48:43 jmfernandes/robin_stocks active 23:51.4
gs-quant https://github.com/goldmansachs/gs-quant NEW Derivatives and Hedging 2021-04-17 08:46:05 590.0 170.0 12.0 2018-12-14 21:10:40 2021-03-25 15:33:58 goldmansachs/gs-quant 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
Computational Derivatives https://github.com/chenbowen184/Computational_Finance Projects focusing on investigating simulations and computational techniques applied in finance. Derivatives and Hedging 2021-01-12 12:22:31 17.0 12.0 1.0 2018-01-29 05:01:52 2018-08-02 05:56:49 chen-bowen/Computational_Finance inactive
QLNet https://github.com/amaggiulli/QLNet NEW Derivatives and Hedging 2021-04-13 07:58:56 259.0 134.0 13.0 2013-08-22 14:51:43 2021-03-02 18:39:41 amaggiulli/QLNet active 23:51.4
Options https://github.com/QuantConnect/Tutorials/tree/master/06%20Introduction%20to%20Options%5B%5D Introduction to options. Derivatives and Hedging 2021-04-16 12:14:41 336.0 165.0 36.0 2017-07-28 15:48:29 2021-03-17 17:17:08 QuantConnect/Tutorials active
Strata https://github.com/OpenGamma/Strata NEW Derivatives and Hedging 2021-04-17 09:39:09 610.0 218.0 41.0 2014-06-16 11:45:55 2021-04-16 13:48:36 OpenGamma/Strata active 23:51.4
MarketAnalysis https://github.com/Poseyy/MarketAnalysis NEW Derivatives and Hedging 2021-04-17 17:32:33 171.0 77.0 1.0 2019-03-28 19:46:34 2020-08-06 05:15:46 Poseyy/MarketAnalysis active 23:51.4
Options_Data_Science https://github.com/yugedata/Options_Data_Science NEW Derivatives and Hedging 2021-04-16 17:35:45 237.0 39.0 1.0 2020-12-09 04:51:20 2021-04-05 03:55:22 yugedata/Options_Data_Science active 23:51.4
Volatility and Variance Derivatives https://github.com/yhilpisch/lvvd/tree/master/lvvd Volatility derivatives analytics. Derivatives and Hedging 2021-04-15 06:00:21 80.0 78.0 1.0 2016-10-21 04:12:50 2021-02-22 13:32:00 yhilpisch/lvvd active
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
fast_arrow https://github.com/westonplatter/fast_arrow NEW Derivatives and Hedging 2021-04-15 21:23:41 128.0 42.0 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/PHBS/2018.M1.ASP/tree/master/py Black Scholes and Copula. Derivatives and Hedging PHBS/2018.M1.ASP
gym-fx https://github.com/harveybc/gym-fx NEW Extended Research 2021-04-09 22:56:48 153.0 40.0 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
2018-Kaggle-AdTrackingFraud https://github.com/ShawnyXiao/2018-Kaggle-AdTrackingFraud NEW Extended Research 2021-02-20 04:15:05 71.0 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
MIDAS https://github.com/Stream-AD/MIDAS NEW Extended Research 2021-04-19 02:20:48 602.0 71.0 3.0 2019-10-23 03:50:50 2021-04-11 02:23:01 Stream-AD/MIDAS active 2021-04-21 01:25:51.827641
getIPIntel https://github.com/blackdotsh/getIPIntel NEW Extended Research 2021-04-14 09:55:43 149.0 29.0 4.0 2015-10-02 21:40:50 2021-01-24 01:09:18 blackdotsh/getIPIntel active 2021-04-21 01:25:51.827641
fecon236 https://github.com/MathSci/fecon236 NEW Extended Research 2021-04-10 17:02:50 73.0 43.0 2.0 2018-04-05 19:34:51 2019-01-11 08:07:56 MathSci/fecon236 inactive 2021-04-21 01:25:51.827641
Financial-Formulas-Library-.NET-Standard https://github.com/srbrettle/Financial-Formulas-Library-.NET-Standard NEW Extended Research 2021-04-17 23:15:33 102.0 30.0 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
finmath-lib https://github.com/finmath/finmath-lib NEW Extended Research 2021-04-20 05:38:28 307.0 124.0 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
math-php https://github.com/markrogoyski/math-php NEW Extended Research 2021-04-20 11:16:15 1884.0 200.0 17.0 2016-04-03 17:57:14 2020-12-19 19:41:05 markrogoyski/math-php active 2021-04-21 01:25:51.827641
ReactiveTraderCloud https://github.com/AdaptiveConsulting/ReactiveTraderCloud NEW Extended Research 2021-04-19 19:04:09 1567.0 496.0 81.0 2015-11-13 19:24:11 2021-04-16 18:21:28 AdaptiveConsulting/ReactiveTraderCloud active 2021-04-21 01:25:51.827641
Trading-Bot https://github.com/RaidasGrisk/Trading-Bot NEW Extended Research 2021-04-12 05:40:53 72.0 29.0 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
fx_systrade https://github.com/ryogrid/fx_systrade NEW Extended Research 2021-03-29 04:12:56 80.0 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
tradingrrl https://github.com/darden1/tradingrrl NEW Extended Research 2021-02-19 06:30:45 59.0 33.0 1.0 2017-03-05 07:20:56 2018-11-14 13:19:52 darden1/tradingrrl inactive 2021-04-21 01:25:51.827641
FX-1-Minute-Data https://github.com/philipperemy/FX-1-Minute-Data NEW Extended Research 2021-04-15 02:34:35 282.0 109.0 3.0 2017-05-22 03:24:35 2020-04-08 03:32:23 philipperemy/FX-1-Minute-Data active 2021-04-21 01:25:51.827641
fingerprintjs https://github.com/fingerprintjs/fingerprintjs NEW Extended Research 2021-04-20 22:44:39 13190.0 1602.0 66.0 2015-02-11 08:49:54 2021-04-20 22:21:22 fingerprintjs/fingerprintjs active 2021-04-21 01:25:51.827641
math-finance-cheat-sheet https://github.com/daleroberts/math-finance-cheat-sheet NEW Extended Research 2021-04-20 11:13:10 188.0 29.0 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
kafka-fraud-detector https://github.com/florimondmanca/kafka-fraud-detector NEW Extended Research 2021-03-27 11:13:16 59.0 43.0 3.0 2018-09-13 17:36:49 2019-04-29 22:04:23 florimondmanca/kafka-fraud-detector active 2021-04-21 01:25:51.827641
graph-fraud-detection-papers https://github.com/safe-graph/graph-fraud-detection-papers NEW Extended Research 2021-04-20 07:25:42 360.0 64.0 2.0 2019-11-21 05:39:23 2021-03-20 21:24:24 safe-graph/graph-fraud-detection-papers active 2021-04-21 01:25:51.827641
beymani https://github.com/pranab/beymani NEW Extended Research 2021-04-19 23:31:54 108.0 58.0 0.0 2012-01-04 07:22:01 2021-04-19 14:23:24 pranab/beymani 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 41.0 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
FraudDetection-Microservices https://github.com/melofred/FraudDetection-Microservices NEW Extended Research 2021-02-16 00:13:03 85.0 49.0 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
ml-fraud-detection https://github.com/georgymh/ml-fraud-detection NEW Extended Research 2021-04-14 11:51:04 120.0 91.0 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-demo https://github.com/afedulov/fraud-detection-demo NEW Extended Research 2021-04-20 07:15:40 157.0 66.0 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
talkingdata-adtracking-fraud-detection https://github.com/flowlight0/talkingdata-adtracking-fraud-detection NEW Extended Research 2021-04-16 00:20:10 202.0 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
Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras https://github.com/curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras NEW Extended Research 2021-04-06 22:25:09 340.0 238.0 1.0 2017-06-09 13:58:13 2019-06-28 09:27:45 curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras active 2021-04-21 01:25:51.827641
Fraud_Detector https://github.com/kskk02/Fraud_Detector NEW Extended Research 2021-01-10 18:28:58 57.0 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
TalkingData https://github.com/CuteChibiko/TalkingData NEW Extended Research 2021-03-27 11:13:00 99.0 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 2021-04-06 09:02:18 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
fraud-detection-using-machine-learning https://github.com/awslabs/fraud-detection-using-machine-learning NEW Extended Research 2021-04-09 14:05:59 90.0 57.0 5.0 2019-05-17 17:12:46 2021-03-30 19:43:19 awslabs/fraud-detection-using-machine-learning active 2021-04-21 01:25:51.827641
DGFraud https://github.com/safe-graph/DGFraud NEW Extended Research 2021-04-19 07:50:35 297.0 76.0 4.0 2019-11-22 14:02:36 2020-12-26 16:32:18 safe-graph/DGFraud active 2021-04-21 01:25:51.827641
fraud-detection-papers https://github.com/IPL/fraud-detection-papers NEW Extended Research 2021-04-05 00:54:01 128.0 32.0 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
Fraud_Detection_Techniques https://github.com/wmlba/Fraud_Detection_Techniques NEW Extended Research 2021-02-26 00:20:20 60.0 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
system https://github.com/BillRun/system NEW Extended Research 2021-02-01 12:13:52 84.0 55.0 8.0 2013-04-11 16:14:53 2020-07-02 15:32:31 BillRun/system active 2021-04-21 01:25:51.827641
Fraud-detection-using-deep-learning https://github.com/aaxwaz/Fraud-detection-using-deep-learning NEW Extended Research 2021-03-10 20:47:39 103.0 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
wattnet-fx-trading https://github.com/Zymrael/wattnet-fx-trading NEW Extended Research 2021-04-16 11:55:56 57.0 11.0 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
High-Frequency-Trading-Model-with-IB https://github.com/jamesmawm/High-Frequency-Trading-Model-with-IB NEW Extended Research 2021-04-20 15:51:47 1831.0 546.0 2.0 2014-05-18 19:20:13 2019-06-21 14:58:07 jamesmawm/High-Frequency-Trading-Model-with-IB 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 2021-04-20 12:17:34 112.0 35.0 2.0 2020-07-05 07:59:38 2021-04-07 07:13:29 TheSnowGuru/PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop active 2021-04-21 01:25:51.827641
wtpy https://github.com/wondertrader/wtpy NEW Extended Research 2021-04-20 07:52:20 65.0 19.0 1.0 2020-06-18 01:43:25 2021-04-14 08:51:54 wondertrader/wtpy active 2021-04-21 01:25:51.827641
go-quantcup https://github.com/rdingwall/go-quantcup NEW Extended Research 2021-02-07 05:25:04 72.0 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
exchange-core https://github.com/mzheravin/exchange-core NEW Extended Research 2021-04-20 11:07:59 843.0 395.0 6.0 2018-08-05 18:25:16 2020-11-20 15:31:05 mzheravin/exchange-core active 2021-04-21 01:25:51.827641
InteractiveBrokers-Algo-System https://github.com/rediar/InteractiveBrokers-Algo-System NEW Extended Research 2021-04-08 10:25:45 151.0 63.0 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
TradingStrategies https://github.com/SoftAlgoTrade/TradingStrategies NEW Extended Research 2021-04-10 14:56:26 119.0 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
algotrading https://github.com/ivopetiz/algotrading NEW Extended Research 2021-04-21 00:00:20 286.0 74.0 3.0 2018-07-10 22:10:41 2021-04-11 22:27:59 ivopetiz/algotrading active 2021-04-21 01:25:51.827641
wondertrader https://github.com/wondertrader/wondertrader NEW Extended Research 2021-04-20 07:51:23 242.0 62.0 2.0 2020-03-30 05:43:52 2021-04-14 08:07:18 wondertrader/wondertrader active 2021-04-21 01:25:51.827641
roq-api https://github.com/roq-trading/roq-api NEW Extended Research 2021-04-19 02:36:55 141.0 44.0 1.0 2018-03-05 08:37:57 2021-04-15 06:45:00 roq-trading/roq-api active 2021-04-21 01:25:51.827641
bot18 https://github.com/carlos8f/bot18 NEW Extended Research 2021-04-19 06:02:15 159.0 30.0 2.0 2018-05-23 14:22:25 2018-10-17 08:06:21 carlos8f/bot18 inactive 2021-04-21 01:25:51.827641
crypto-database https://github.com/ivopetiz/crypto-database NEW Extended Research 2021-04-14 20:33:58 55.0 22.0 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
Krypto-trading-bot https://github.com/ctubio/Krypto-trading-bot NEW Extended Research 2021-04-20 23:55:28 2158.0 591.0 49.0 2017-06-13 20:15:54 2021-04-20 20:55:39 ctubio/Krypto-trading-bot active 2021-04-21 01:25:51.827641
StockPredictionRNN https://github.com/dzitkowskik/StockPredictionRNN NEW Extended Research 2021-04-06 16:42:38 488.0 212.0 2.0 2015-11-26 19:00:35 2016-05-21 15:51:22 dzitkowskik/StockPredictionRNN inactive 2021-04-21 01:25:51.827641
448Project https://github.com/HujiaYuYoyo/448Project NEW Extended Research 2021-04-08 15:37:35 67.0 44.0 4.0 2018-04-14 21:19:21 2018-06-10 09:29:37 HujiaYuYoyo/448Project inactive 2021-04-21 01:25:51.827641
spartan https://github.com/rigtorp/spartan NEW Extended Research 2021-04-15 11:13:45 164.0 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
hummingbot_chinese https://github.com/CoinAlpha/hummingbot_chinese NEW Extended Research 2021-04-20 05:40:42 124.0 19.0 4.0 2019-06-05 22:53:04 2021-01-16 01:36:15 CoinAlpha/hummingbot_chinese active 2021-04-21 01:25:51.827641
SumZeroTrading https://github.com/rterp/SumZeroTrading NEW Extended Research 2021-04-11 21:34:51 128.0 43.0 1.0 2016-01-19 05:43:31 2018-08-30 22:44:52 rterp/SumZeroTrading inactive 2021-04-21 01:25:51.827641
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
algo-trader-tool-suite https://github.com/K0414/algo-trader-tool-suite NEW Extended Research 2021-04-15 04:00:52 58.0 53.0 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
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 2021-03-28 15:26:21 50.0 20.0 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
example-hftish https://github.com/alpacahq/example-hftish NEW Extended Research 2021-04-17 23:55:53 369.0 164.0 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 2021-04-19 14:52:25 463.0 150.0 31.0 2013-12-26 10:22:00 2021-04-19 13:28:11 OpenHFT/OpenHFT active 2021-04-21 01:25:51.827641
hft https://github.com/nickhuangxinyu/hft NEW Extended Research 2021-04-18 16:05:09 143.0 68.0 2.0 2019-03-12 14:57:01 2021-02-16 01:41:01 nickhuangxinyu/hft active 2021-04-21 01:25:51.827641
HFT-Orderbook https://github.com/Crypto-toolbox/HFT-Orderbook NEW Extended Research 2021-04-18 16:01:42 418.0 140.0 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
HFTrader https://github.com/DrAshBooth/HFTrader NEW Extended Research 2020-10-27 12:52:36 68.0 42.0 0.0 2012-12-03 13:57:19 2012-12-12 17:17:09 DrAshBooth/HFTrader inactive 2021-04-21 01:25:51.827641
ITCH https://github.com/martinobdl/ITCH NEW Extended Research 2021-04-20 14:44:37 65.0 26.0 3.0 2019-03-09 18:20:12 2020-07-25 10:24:10 martinobdl/ITCH active 2021-04-21 01:25:51.827641
kungfu https://github.com/kungfu-origin/kungfu NEW Extended Research 2021-04-20 12:37:11 2325.0 852.0 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
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
198 HFT-CNN https://github.com/ShimShim46/HFT-CNN NEW Extended Research 2021-04-16 02:35:23 70.0 17.0 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
199 tectonicdb https://github.com/0b01/tectonicdb NEW Extended Research 2021-04-19 16:58:25 332.0 53.0 10.0 2017-10-03 00:34:01 2020-09-08 23:02:20 0b01/tectonicdb active 2021-04-21 01:25:51.827641
200 tribeca https://github.com/michaelgrosner/tribeca NEW Extended Research 2021-04-20 16:40:54 3480.0 890.0 22.0 2015-07-07 18:40:45 2018-02-26 18:01:13 michaelgrosner/tribeca inactive 2021-04-21 01:25:51.827641
201 Chronicle-Accelerate awesome-fraud-detection-papers https://github.com/OpenHFT/Chronicle-Accelerate https://github.com/benedekrozemberczki/awesome-fraud-detection-papers NEW Extended Research 2020-12-11 04:11:30 2021-04-21 01:18:50 55.0 857.0 12.0 183.0 7.0 4.0 2018-01-24 08:52:53 2019-05-27 10:23:22 2018-08-11 12:11:43 2021-04-03 10:45:01 OpenHFT/Chronicle-Accelerate benedekrozemberczki/awesome-fraud-detection-papers inactive active 2021-04-21 01:25:51.827641
202 High-Frequency-Trading-Simulation-System https://github.com/chenhaotian/High-Frequency-Trading-Simulation-System NEW Extended Research 2021-04-08 11:49:34 50.0 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
203 HFT_Bitcoin https://github.com/ghgr/HFT_Bitcoin NEW Extended Research 2021-04-18 10:57:05 72.0 22.0 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
awesome-fraud-detection-papers https://github.com/benedekrozemberczki/awesome-fraud-detection-papers NEW Extended Research 2021-04-21 01:18:50 857.0 183.0 4.0 2019-05-27 10:23:22 2021-04-03 10:45:01 benedekrozemberczki/awesome-fraud-detection-papers active 2021-04-21 01:25:51.827641
204 HFT https://github.com/rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy High frequency trading. Extended Research 2021-04-17 07:52:44 751.0 333.0 1.0 2016-07-21 05:14:14 2017-02-14 16:47:25 rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy inactive
205 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
206 Chronicle-Accelerate https://github.com/OpenHFT/Chronicle-Accelerate NEW Extended Research 2020-12-11 04:11:30 55.0 12.0 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
207 kungfu https://github.com/kungfu-origin/kungfu NEW Extended Research 2021-04-20 12:37:11 2325.0 852.0 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
208 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
209 HFTrader https://github.com/DrAshBooth/HFTrader NEW Extended Research 2020-10-27 12:52:36 68.0 42.0 0.0 2012-12-03 13:57:19 2012-12-12 17:17:09 DrAshBooth/HFTrader inactive 2021-04-21 01:25:51.827641
210 HFT-Orderbook https://github.com/Crypto-toolbox/HFT-Orderbook NEW Extended Research 2021-04-18 16:01:42 418.0 140.0 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
211 hft https://github.com/nickhuangxinyu/hft NEW Extended Research 2021-04-18 16:05:09 143.0 68.0 2.0 2019-03-12 14:57:01 2021-02-16 01:41:01 nickhuangxinyu/hft active 2021-04-21 01:25:51.827641
212 OpenHFT https://github.com/OpenHFT/OpenHFT NEW Extended Research 2021-04-19 14:52:25 463.0 150.0 31.0 2013-12-26 10:22:00 2021-04-19 13:28:11 OpenHFT/OpenHFT active 2021-04-21 01:25:51.827641
213 example-hftish https://github.com/alpacahq/example-hftish NEW Extended Research 2021-04-17 23:55:53 369.0 164.0 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
214 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 2021-03-28 15:26:21 50.0 20.0 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
215 algo-trader-tool-suite https://github.com/K0414/algo-trader-tool-suite NEW Extended Research 2021-04-15 04:00:52 58.0 53.0 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
216 avellaneda-stoikov https://github.com/ragoragino/avellaneda-stoikov NEW Extended Research 2021-04-06 09:40:48 56.0 18.0 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
217 SumZeroTrading https://github.com/rterp/SumZeroTrading NEW Extended Research 2021-04-11 21:34:51 128.0 43.0 1.0 2016-01-19 05:43:31 2018-08-30 22:44:52 rterp/SumZeroTrading inactive 2021-04-21 01:25:51.827641
218 hummingbot_chinese https://github.com/CoinAlpha/hummingbot_chinese NEW Extended Research 2021-04-20 05:40:42 124.0 19.0 4.0 2019-06-05 22:53:04 2021-01-16 01:36:15 CoinAlpha/hummingbot_chinese active 2021-04-21 01:25:51.827641
219 ITCH https://github.com/martinobdl/ITCH NEW Extended Research 2021-04-20 14:44:37 65.0 26.0 3.0 2019-03-09 18:20:12 2020-07-25 10:24:10 martinobdl/ITCH active 2021-04-21 01:25:51.827641
220 Applied Corporate Finance https://github.com/chenbowen184/Data_Science_in_Applied_Corporate_Finance Studies the empirical behaviours in stock market. Extended Research 2021-02-19 13:40:37 8.0 9.0 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 https://github.com/cswaney/prickle A Python toolkit for high-frequency trade research. Extended Research 2021-03-22 02:19:15 24.0 17.0 2.0 2016-07-06 20:32:21 2018-06-09 10:53:51 cswaney/prickle inactive
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
Economic Foundations https://github.com/SeanMcOwen/FinanceAndPython.com-EconomicFoundations Basic economic models. Extended Research 2020-10-06 21:01:59 2.0 3.0 1.0 2017-05-25 02:27:36 2017-06-30 03:53:59 SeanMcOwen/FinanceAndPython.com-EconomicFoundations inactive
Corporate Finance https://github.com/SeanMcOwen/FinanceAndPython.com-CorporateFinance Basic corporate finance. Extended Research 2021-01-16 19:01:31 9.0 4.0 1.0 2017-09-09 03:35:24 2017-09-09 23:04:48 SeanMcOwen/FinanceAndPython.com-CorporateFinance inactive
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
Commodity https://github.com/felipessalvatore/fin2vec/blob/master/src/Commodity2BR.ipynb Commodity influence over Brazilian stocks. Extended Research felipessalvatore/fin2vec
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
Mathematical Finance https://github.com/Auquan/Tutorials Notebooks for math and financial tutorials. Extended Research 2021-04-14 13:33:03 665.0 427.0 9.0 2017-01-21 11:24:18 2020-08-01 17:03:32 Auquan/Tutorials active
221 Computational Finance https://github.com/lnsongxf/Applied_Computational_Economics_and_Finance Applied Computational Economics and Finance. Extended Research 2021-03-07 17:47:01 12.0 13.0 1.0 2017-08-27 03:46:33 2017-08-26 04:26:04 lnsongxf/Applied_Computational_Economics_and_Finance inactive
222 Finance Graph Theory Behavioural Economics https://github.com/AvijitGhosh82/Finance_Graph_Theory https://github.com/pcmichaud/notebooks Modelling Contentedness of Firms in Financial Markets with Heterogeneous Agents. Behavioural Economics and Finance Python Notebooks. Extended Research 2021-03-28 02:22:22 2021-02-03 07:22:40 17.0 9.0 7.0 4.0 3.0 1.0 2018-08-02 02:48:24 2018-12-20 00:21:38 2019-03-16 18:39:38 2019-03-26 11:51:46 evijit/Finance_Graph_Theory pcmichaud/notebooks inactive
223 Market Crash Prediction spartan https://github.com/sarachmax/MarketCrashes_Prediction/blob/master/LPPL_Comparasion.ipynb https://github.com/rigtorp/spartan Predicting market crashes using an LPPL model. NEW Extended Research 2020-10-06 21:01:42 2021-04-15 11:13:45 1.0 164.0 3.0 62.0 1.0 2019-01-24 13:37:45 2012-11-22 04:29:42 2019-02-13 16:48:00 2015-10-31 03:46:06 sarachmax/MarketCrashes_Prediction rigtorp/spartan inactive 2021-04-21 01:25:51.827641
Liquidity and Momentum https://github.com/mrefermat/quant_finance Various factors and portfolio constructions. Extended Research 2021-03-30 00:09:34 31.0 17.0 1.0 2018-08-11 22:59:53 2019-11-12 04:49:01 mrefermat/quant_finance active
freqtrade_bot https://github.com/michael-fourie/freqtrade_bot NEW Extended Research 2021-04-15 09:26:22 58.0 21.0 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
Simulation https://github.com/chenbowen184/Computational_Finance Investigating simulations as part of computational finance. Extended Research 2021-01-12 12:22:31 17.0 12.0 1.0 2018-01-29 05:01:52 2018-08-02 05:56:49 chen-bowen/Computational_Finance inactive
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
Critical Transitions https://github.com/ryanholbrook/critical-transitions Detecting critical transitions in financial networks with topological data analysis. Extended Research 2021-01-30 11:50:22 10.0 3.0 1.0 2019-01-22 10:59:50 2019-03-12 18:35:02 ryanholbrook/critical-transitions inactive
Bayesian Finance https://github.com/marketneutral/alphatools/blob/master/notebooks/pymc3-minimal.ipynb Notebook PyMC3 implementation. Extended Research 2021-04-15 13:34:53 234.0 56.0 1.0 2018-08-28 14:45:00 2020-08-06 22:03:47 marketneutral/alphatools active
Financial Economics https://github.com/rsvp/fecon235/tree/master/nb Financial Economics Models. Extended Research 2021-04-10 17:02:20 713.0 277.0 2.0 2014-11-09 04:49:01 2018-12-03 16:30:28 rsvp/fecon235 inactive
Backtests https://github.com/AlgoTraders/stock-analysis-engine Trading data and algorithms. Extended Research 2021-04-17 21:38:09 625.0 166.0 3.0 2018-09-16 20:00:36 2020-09-05 13:01:05 AlgoTraders/stock-analysis-engine 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 2020-11-28 03:02:48 25.0 6.0 0.0 2019-01-04 12:30:41 2019-02-18 09:55:21 AlexIoannides/pymc-stochastic-process 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
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
224 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
225 CAPM NLP Finance Papers https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%202%2C%20CAPM.ipynb https://github.com/chenbowen184/Research_Documents_Curation_with_NLP Expected returns using CAPM. Curating quantitative finance papers using machine learning. Factor and Risk Analysis Extended Research 2021-03-01 13:53:42 2021-02-27 06:33:23 31.0 8.0 19.0 9.0 1.0 2016-05-10 11:03:48 2018-10-11 20:32:37 2016-05-17 03:44:56 2018-12-24 23:27:55 RJT1990/Active-Portfolio-Management-Notes chen-bowen/Research_Documents_Curation_with_NLP inactive
226 stock-market-analysis-using-python-numpy-pandas Real Estate Property Fraud https://github.com/Ashishsinha10/stock-market-analysis-using-python-numpy-pandas https://github.com/aviroop1/Real_Estate_Property_Fraud NEW Unsupervised fraud detection model that can identify likely candidates of fraud. Factor and Risk Analysis Extended Research 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 aviroop1/Real_Estate_Property_Fraud inactive 23:57.7
227 Risk and Return Bayesian Finance I https://github.com/PyDataBlog/Python-for-Data-Science/tree/master/Tutorials https://github.com/AlexIoannides/pymc-stochastic-process/blob/master/bayes_stoch_proc_calib.ipynb Riskiness of portfolios and assets. Stochastic Process Calibration using Bayesian Inference & Probabilistic Programs. Factor and Risk Analysis Extended Research 2021-04-06 17:03:06 2020-11-28 03:02:48 140.0 25.0 62.0 6.0 2.0 0.0 2017-09-12 13:35:09 2019-01-04 12:30:41 2020-08-06 12:35:44 2019-02-18 09:55:21 PyDataBlog/Python-for-Data-Science AlexIoannides/pymc-stochastic-process active inactive
228 AlphaTrading Backtests https://github.com/jerryxyx/AlphaTrading https://github.com/AlgoTraders/stock-analysis-engine NEW Trading data and algorithms. Factor and Risk Analysis Extended Research 2021-04-14 15:16:22 2021-04-17 21:38:09 150.0 625.0 75.0 166.0 1.0 3.0 2018-05-18 22:09:52 2018-09-16 20:00:36 2018-08-07 18:05:37 2020-09-05 13:01:05 jerryxyx/AlphaTrading AlgoTraders/stock-analysis-engine inactive active 37:06.3
229 VaR GaN Financial Economics https://github.com/hamaadshah/market_risk_gan_keras https://github.com/rsvp/fecon235/tree/master/nb Estimate Value-at-Risk for market risk management using Keras and TensorFlow. Financial Economics Models. Factor and Risk Analysis Extended Research 2021-03-20 21:53:18 2021-04-10 17:02:20 41.0 713.0 28.0 277.0 1.0 2.0 2018-08-06 16:09:44 2014-11-09 04:49:01 2020-11-22 19:02:07 2018-12-03 16:30:28 hamaadshah/market_risk_gan_tensorflow rsvp/fecon235 active inactive
230 Pyfolio Bayesian Finance https://github.com/quantopian/pyfolio https://github.com/marketneutral/alphatools/blob/master/notebooks/pymc3-minimal.ipynb Portfolio and risk analytics in Python. Notebook PyMC3 implementation. Factor and Risk Analysis Extended Research 2021-04-17 23:14:39 2021-04-15 13:34:53 3693.0 234.0 1159.0 56.0 42.0 1.0 2015-06-01 15:31:39 2018-08-28 14:45:00 2020-02-28 17:30:19 2020-08-06 22:03:47 quantopian/pyfolio marketneutral/alphatools active
231 simulate Critical Transitions https://github.com/leolle/simulate https://github.com/ryanholbrook/critical-transitions NEW Detecting critical transitions in financial networks with topological data analysis. Factor and Risk Analysis Extended Research 2021-03-23 13:34:53 2021-01-30 11:50:22 11.0 10.0 2.0 3.0 1.0 2017-06-04 15:18:21 2019-01-22 10:59:50 2018-11-11 14:03:40 2019-03-12 18:35:02 leolle/simulate ryanholbrook/critical-transitions inactive 23:57.7
232 TradeFinexLive Currency PCA https://github.com/XinFinOrg/TradeFinexLive https://github.com/shanemulqueen/python-finance-pca/blob/master/FX_spots_w_PCA.ipynb NEW Forex spots PCA. Factor and Risk Analysis Extended Research 2021-03-18 09:48:52 2020-10-26 00:55:20 5.0 3.0 11.0 1.0 8.0 1.0 2018-03-21 10:05:22 2019-03-12 21:11:29 2021-03-18 09:48:32 2019-03-12 22:09:10 XinFinOrg/TradeFinexLive shanemulqueen/python-finance-pca active inactive 23:57.7
233 -L- Simulation https://github.com/jettbrains/-L- https://github.com/chenbowen184/Computational_Finance NEW Investigating simulations as part of computational finance. Factor and Risk Analysis Extended Research 2021-03-15 03:05:00 2021-01-12 12:22:31 6.0 17.0 16.0 12.0 1.0 2019-10-28 21:50:26 2018-01-29 05:01:52 2019-10-28 21:51:19 2018-08-02 05:56:49 jettbrains/-L- chen-bowen/Computational_Finance active inactive 23:57.7
234 Factor Analysis freqtrade_bot https://github.com/garvit-kudesia91/factor_analysis/blob/master/Factor%20Analysis%20of%20Mutual%20Funds.ipynb https://github.com/michael-fourie/freqtrade_bot Factor analysis for mutual funds. NEW Factor and Risk Analysis Extended Research 2020-12-21 14:26:46 2021-04-15 09:26:22 3.0 58.0 4.0 21.0 1.0 2018-03-13 07:39:20 2020-12-21 00:14:25 2018-03-13 07:42:36 2021-01-07 19:52:54 garvit-kudesia91/factor_analysis michael-fourie/freqtrade_bot inactive active 2021-04-21 01:25:51.827641
235 Factor Analysis Liquidity and Momentum https://github.com/alpha-miner/alpha-mind/tree/master/notebooks https://github.com/mrefermat/quant_finance Factor strategy notebooks. Various factors and portfolio constructions. Factor and Risk Analysis Extended Research 2021-04-08 19:02:25 2021-03-30 00:09:34 172.0 31.0 60.0 17.0 3.0 1.0 2017-05-01 07:36:54 2018-08-11 22:59:53 2021-04-07 15:25:27 2019-11-12 04:49:01 alpha-miner/alpha-mind mrefermat/quant_finance active
236 Performance Analysis Market Crash Prediction https://github.com/quantopian/alphalens https://github.com/sarachmax/MarketCrashes_Prediction/blob/master/LPPL_Comparasion.ipynb Performance analysis of predictive (alpha) stock factors. Predicting market crashes using an LPPL model. Factor and Risk Analysis Extended Research 2021-04-17 23:37:04 2020-10-06 21:01:42 1859.0 1.0 702.0 3.0 17.0 1.0 2016-06-03 21:49:15 2019-01-24 13:37:45 2020-04-27 18:40:41 2019-02-13 16:48:00 quantopian/alphalens sarachmax/MarketCrashes_Prediction active inactive
237 Stock-Prediction Finance Graph Theory https://github.com/Ronak-59/Stock-Prediction https://github.com/AvijitGhosh82/Finance_Graph_Theory NEW Modelling Contentedness of Firms in Financial Markets with Heterogeneous Agents. Factor and Risk Analysis Extended Research 2021-03-26 08:37:47 2021-03-28 02:22:22 129.0 17.0 65.0 7.0 2.0 3.0 2018-03-18 04:54:45 2018-08-02 02:48:24 2020-02-28 11:43:07 2019-03-16 18:39:38 Ronak-59/Stock-Prediction evijit/Finance_Graph_Theory active inactive 37:06.3
238 Mathematical Finance https://github.com/Auquan/Tutorials Notebooks for math and financial tutorials. Extended Research 2021-04-14 13:33:03 665.0 427.0 9.0 2017-01-21 11:24:18 2020-08-01 17:03:32 Auquan/Tutorials active
239 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
240 Commodity https://github.com/felipessalvatore/fin2vec/blob/master/src/Commodity2BR.ipynb Commodity influence over Brazilian stocks. Extended Research felipessalvatore/fin2vec
241 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
242 Corporate Finance https://github.com/SeanMcOwen/FinanceAndPython.com-CorporateFinance Basic corporate finance. Extended Research 2021-01-16 19:01:31 9.0 4.0 1.0 2017-09-09 03:35:24 2017-09-09 23:04:48 SeanMcOwen/FinanceAndPython.com-CorporateFinance inactive
243 Economic Foundations https://github.com/SeanMcOwen/FinanceAndPython.com-EconomicFoundations Basic economic models. Extended Research 2020-10-06 21:01:59 2.0 3.0 1.0 2017-05-25 02:27:36 2017-06-30 03:53:59 SeanMcOwen/FinanceAndPython.com-EconomicFoundations inactive
244 High Frequency https://github.com/cswaney/prickle A Python toolkit for high-frequency trade research. Extended Research 2021-03-22 02:19:15 24.0 17.0 2.0 2016-07-06 20:32:21 2018-06-09 10:53:51 cswaney/prickle inactive
245 448Project https://github.com/HujiaYuYoyo/448Project NEW Extended Research 2021-04-08 15:37:35 67.0 44.0 4.0 2018-04-14 21:19:21 2018-06-10 09:29:37 HujiaYuYoyo/448Project inactive 2021-04-21 01:25:51.827641
246 gym-fx https://github.com/harveybc/gym-fx NEW Extended Research 2021-04-09 22:56:48 153.0 40.0 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
247 Krypto-trading-bot https://github.com/ctubio/Krypto-trading-bot NEW Extended Research 2021-04-20 23:55:28 2158.0 591.0 49.0 2017-06-13 20:15:54 2021-04-20 20:55:39 ctubio/Krypto-trading-bot active 2021-04-21 01:25:51.827641
248 ml-fraud-detection https://github.com/georgymh/ml-fraud-detection NEW Extended Research 2021-04-14 11:51:04 120.0 91.0 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
249 FraudDetection-Microservices https://github.com/melofred/FraudDetection-Microservices NEW Extended Research 2021-02-16 00:13:03 85.0 49.0 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
250 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 41.0 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
251 beymani https://github.com/pranab/beymani NEW Extended Research 2021-04-19 23:31:54 108.0 58.0 0.0 2012-01-04 07:22:01 2021-04-19 14:23:24 pranab/beymani active 2021-04-21 01:25:51.827641
252 graph-fraud-detection-papers https://github.com/safe-graph/graph-fraud-detection-papers NEW Extended Research 2021-04-20 07:25:42 360.0 64.0 2.0 2019-11-21 05:39:23 2021-03-20 21:24:24 safe-graph/graph-fraud-detection-papers active 2021-04-21 01:25:51.827641
253 kafka-fraud-detector https://github.com/florimondmanca/kafka-fraud-detector NEW Extended Research 2021-03-27 11:13:16 59.0 43.0 3.0 2018-09-13 17:36:49 2019-04-29 22:04:23 florimondmanca/kafka-fraud-detector active 2021-04-21 01:25:51.827641
254 math-finance-cheat-sheet https://github.com/daleroberts/math-finance-cheat-sheet NEW Extended Research 2021-04-20 11:13:10 188.0 29.0 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
255 fingerprintjs https://github.com/fingerprintjs/fingerprintjs NEW Extended Research 2021-04-20 22:44:39 13190.0 1602.0 66.0 2015-02-11 08:49:54 2021-04-20 22:21:22 fingerprintjs/fingerprintjs active 2021-04-21 01:25:51.827641
256 FX-1-Minute-Data https://github.com/philipperemy/FX-1-Minute-Data NEW Extended Research 2021-04-15 02:34:35 282.0 109.0 3.0 2017-05-22 03:24:35 2020-04-08 03:32:23 philipperemy/FX-1-Minute-Data active 2021-04-21 01:25:51.827641
257 fraud-detection-demo https://github.com/afedulov/fraud-detection-demo NEW Extended Research 2021-04-20 07:15:40 157.0 66.0 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
258 fx_systrade https://github.com/ryogrid/fx_systrade NEW Extended Research 2021-03-29 04:12:56 80.0 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
259 ReactiveTraderCloud https://github.com/AdaptiveConsulting/ReactiveTraderCloud NEW Extended Research 2021-04-19 19:04:09 1567.0 496.0 81.0 2015-11-13 19:24:11 2021-04-16 18:21:28 AdaptiveConsulting/ReactiveTraderCloud active 2021-04-21 01:25:51.827641
260 math-php https://github.com/markrogoyski/math-php NEW Extended Research 2021-04-20 11:16:15 1884.0 200.0 17.0 2016-04-03 17:57:14 2020-12-19 19:41:05 markrogoyski/math-php active 2021-04-21 01:25:51.827641
261 finmath-lib https://github.com/finmath/finmath-lib NEW Extended Research 2021-04-20 05:38:28 307.0 124.0 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
262 Financial-Formulas-Library-.NET-Standard https://github.com/srbrettle/Financial-Formulas-Library-.NET-Standard NEW Extended Research 2021-04-17 23:15:33 102.0 30.0 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
263 fecon236 https://github.com/MathSci/fecon236 NEW Extended Research 2021-04-10 17:02:50 73.0 43.0 2.0 2018-04-05 19:34:51 2019-01-11 08:07:56 MathSci/fecon236 inactive 2021-04-21 01:25:51.827641
264 getIPIntel https://github.com/blackdotsh/getIPIntel NEW Extended Research 2021-04-14 09:55:43 149.0 29.0 4.0 2015-10-02 21:40:50 2021-01-24 01:09:18 blackdotsh/getIPIntel active 2021-04-21 01:25:51.827641
265 MIDAS https://github.com/Stream-AD/MIDAS NEW Extended Research 2021-04-19 02:20:48 602.0 71.0 3.0 2019-10-23 03:50:50 2021-04-11 02:23:01 Stream-AD/MIDAS active 2021-04-21 01:25:51.827641
266 2018-Kaggle-AdTrackingFraud https://github.com/ShawnyXiao/2018-Kaggle-AdTrackingFraud NEW Extended Research 2021-02-20 04:15:05 71.0 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
267 StockPredictionRNN https://github.com/dzitkowskik/StockPredictionRNN NEW Extended Research 2021-04-06 16:42:38 488.0 212.0 2.0 2015-11-26 19:00:35 2016-05-21 15:51:22 dzitkowskik/StockPredictionRNN inactive 2021-04-21 01:25:51.827641
268 Trading-Bot https://github.com/RaidasGrisk/Trading-Bot NEW Extended Research 2021-04-12 05:40:53 72.0 29.0 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
269 talkingdata-adtracking-fraud-detection https://github.com/flowlight0/talkingdata-adtracking-fraud-detection NEW Extended Research 2021-04-16 00:20:10 202.0 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
270 tradingrrl https://github.com/darden1/tradingrrl NEW Extended Research 2021-02-19 06:30:45 59.0 33.0 1.0 2017-03-05 07:20:56 2018-11-14 13:19:52 darden1/tradingrrl inactive 2021-04-21 01:25:51.827641
271 Fraud_Detector https://github.com/kskk02/Fraud_Detector NEW Extended Research 2021-01-10 18:28:58 57.0 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
272 Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras https://github.com/curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras NEW Extended Research 2021-04-06 22:25:09 340.0 238.0 1.0 2017-06-09 13:58:13 2019-06-28 09:27:45 curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras active 2021-04-21 01:25:51.827641
273 bot18 https://github.com/carlos8f/bot18 NEW Extended Research 2021-04-19 06:02:15 159.0 30.0 2.0 2018-05-23 14:22:25 2018-10-17 08:06:21 carlos8f/bot18 inactive 2021-04-21 01:25:51.827641
274 roq-api https://github.com/roq-trading/roq-api NEW Extended Research 2021-04-19 02:36:55 141.0 44.0 1.0 2018-03-05 08:37:57 2021-04-15 06:45:00 roq-trading/roq-api active 2021-04-21 01:25:51.827641
275 wondertrader https://github.com/wondertrader/wondertrader NEW Extended Research 2021-04-20 07:51:23 242.0 62.0 2.0 2020-03-30 05:43:52 2021-04-14 08:07:18 wondertrader/wondertrader active 2021-04-21 01:25:51.827641
276 algotrading https://github.com/ivopetiz/algotrading NEW Extended Research 2021-04-21 00:00:20 286.0 74.0 3.0 2018-07-10 22:10:41 2021-04-11 22:27:59 ivopetiz/algotrading active 2021-04-21 01:25:51.827641
277 TradingStrategies https://github.com/SoftAlgoTrade/TradingStrategies NEW Extended Research 2021-04-10 14:56:26 119.0 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
278 exchange-core https://github.com/mzheravin/exchange-core NEW Extended Research 2021-04-20 11:07:59 843.0 395.0 6.0 2018-08-05 18:25:16 2020-11-20 15:31:05 mzheravin/exchange-core active 2021-04-21 01:25:51.827641
279 go-quantcup https://github.com/rdingwall/go-quantcup NEW Extended Research 2021-02-07 05:25:04 72.0 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
280 wtpy https://github.com/wondertrader/wtpy NEW Extended Research 2021-04-20 07:52:20 65.0 19.0 1.0 2020-06-18 01:43:25 2021-04-14 08:51:54 wondertrader/wtpy active 2021-04-21 01:25:51.827641
281 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 2021-04-20 12:17:34 112.0 35.0 2.0 2020-07-05 07:59:38 2021-04-07 07:13:29 TheSnowGuru/PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop active 2021-04-21 01:25:51.827641
282 InteractiveBrokers-Algo-System https://github.com/rediar/InteractiveBrokers-Algo-System NEW Extended Research 2021-04-08 10:25:45 151.0 63.0 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
283 High-Frequency-Trading-Model-with-IB https://github.com/jamesmawm/High-Frequency-Trading-Model-with-IB NEW Extended Research 2021-04-20 15:51:47 1831.0 546.0 2.0 2014-05-18 19:20:13 2019-06-21 14:58:07 jamesmawm/High-Frequency-Trading-Model-with-IB active 2021-04-21 01:25:51.827641
284 wattnet-fx-trading https://github.com/Zymrael/wattnet-fx-trading NEW Extended Research 2021-04-16 11:55:56 57.0 11.0 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
285 Fraud-detection-using-deep-learning https://github.com/aaxwaz/Fraud-detection-using-deep-learning NEW Extended Research 2021-03-10 20:47:39 103.0 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
286 system https://github.com/BillRun/system NEW Extended Research 2021-02-01 12:13:52 84.0 55.0 8.0 2013-04-11 16:14:53 2020-07-02 15:32:31 BillRun/system active 2021-04-21 01:25:51.827641
287 Fraud_Detection_Techniques https://github.com/wmlba/Fraud_Detection_Techniques NEW Extended Research 2021-02-26 00:20:20 60.0 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
288 fraud-detection-papers https://github.com/IPL/fraud-detection-papers NEW Extended Research 2021-04-05 00:54:01 128.0 32.0 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
289 DGFraud https://github.com/safe-graph/DGFraud NEW Extended Research 2021-04-19 07:50:35 297.0 76.0 4.0 2019-11-22 14:02:36 2020-12-26 16:32:18 safe-graph/DGFraud active 2021-04-21 01:25:51.827641
290 fraud-detection-using-machine-learning https://github.com/awslabs/fraud-detection-using-machine-learning NEW Extended Research 2021-04-09 14:05:59 90.0 57.0 5.0 2019-05-17 17:12:46 2021-03-30 19:43:19 awslabs/fraud-detection-using-machine-learning active 2021-04-21 01:25:51.827641
291 fraud-detection https://github.com/yazanobeidi/fraud-detection NEW Extended Research 2021-04-06 09:02:18 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
292 crypto-database https://github.com/ivopetiz/crypto-database NEW Extended Research 2021-04-14 20:33:58 55.0 22.0 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
293 TalkingData https://github.com/CuteChibiko/TalkingData NEW Extended Research 2021-03-27 11:13:00 99.0 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
294 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 19.0 1.0 2016-05-10 11:03:48 2016-05-17 03:44:56 RJT1990/Active-Portfolio-Management-Notes inactive
295 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
296 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 10.0 1.0 2018-06-26 20:36:47 2019-10-22 21:56:46 ssanderson/convex-optimization-for-finance active
297 Python for Finance https://github.com/yhilpisch/py4fi/tree/master/jupyter36 Various financial notebooks. Factor and Risk Analysis 2021-04-15 02:39:15 1297.0 794.0 1.0 2014-12-15 11:23:34 2018-07-10 06:38:12 yhilpisch/py4fi inactive
298 Various Risk Measures Statistical Finance https://github.com/Jorgencr/Alternative-and-Responsible-Investments/blob/master/Final_masterfile.ipynb https://github.com/mrefermat/FinancePhD/tree/master/FinancialExperiments Risk measures and factors for alternative and responsible investments. Various financial experiments. Factor and Risk Analysis 2020-11-04 07:04:38 2021-03-30 00:09:28 4.0 21.0 5.0 17.0 1.0 2017-08-07 14:44:32 2015-10-04 09:10:54 2017-08-08 22:52:11 2020-03-28 18:33:58 Jorgencr/Alternative-and-Responsible-Investments mrefermat/FinancePhD inactive active
299 Quant Finance https://github.com/mrefermat/quant_finance General quant repository. Factor and Risk Analysis 2021-03-30 00:09:34 31.0 17.0 1.0 2018-08-11 22:59:53 2019-11-12 04:49:01 mrefermat/quant_finance active
300 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 2.0 1.0 2019-08-03 04:04:51 2019-08-03 04:05:32 chaudharigauravi/Machine_learning_In_Finance active 23:57.7
301 Statistical Finance Stock-Prediction https://github.com/mrefermat/FinancePhD/tree/master/FinancialExperiments https://github.com/Ronak-59/Stock-Prediction Various financial experiments. NEW Factor and Risk Analysis 2021-03-30 00:09:28 2021-03-26 08:37:47 21.0 129.0 17.0 65.0 1.0 2.0 2015-10-04 09:10:54 2018-03-18 04:54:45 2020-03-28 18:33:58 2020-02-28 11:43:07 mrefermat/FinancePhD Ronak-59/Stock-Prediction active 37:06.3
302 MagentoExtensions Various Risk Measures https://github.com/5mehulhelp5/MagentoExtensions https://github.com/Jorgencr/Alternative-and-Responsible-Investments/blob/master/Final_masterfile.ipynb NEW Risk measures and factors for alternative and responsible investments. Fixed Income Factor and Risk Analysis 2021-02-12 08:45:08 2020-11-04 07:04:38 106.0 4.0 110.0 5.0 2.0 1.0 2014-07-03 05:45:54 2017-08-07 14:44:32 2017-11-24 16:15:49 2017-08-08 22:52:11 5mehulhelp5/MagentoExtensions Jorgencr/Alternative-and-Responsible-Investments inactive 24:33.4
303 Corporate Bonds Performance Analysis https://github.com/ishank011/gs-quantify-bond-prediction https://github.com/quantopian/alphalens Predicting the buying and selling volume of the corporate bonds. Performance analysis of predictive (alpha) stock factors. Fixed Income Factor and Risk Analysis 2021-01-03 21:46:55 2021-04-17 23:37:04 7.0 1859.0 5.0 702.0 1.0 17.0 2017-09-27 19:57:13 2016-06-03 21:49:15 2017-09-27 20:00:29 2020-04-27 18:40:41 ishank011/gs-quantify-bond-prediction quantopian/alphalens inactive active
304 rating_history CAPM https://github.com/govwiki/rating_history https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%202%2C%20CAPM.ipynb NEW Expected returns using CAPM. Fixed Income Factor and Risk Analysis 2021-01-23 06:27:24 2021-03-01 13:53:42 26.0 31.0 13.0 19.0 1.0 2017-11-23 22:52:14 2016-05-10 11:03:48 2017-12-03 20:42:49 2016-05-17 03:44:56 govwiki/rating_history RJT1990/Active-Portfolio-Management-Notes inactive 24:33.4
305 woe Factor Analysis https://github.com/boredbird/woe 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 2021-04-17 07:45:48 2020-12-21 14:26:46 225.0 3.0 96.0 4.0 1.0 2017-09-11 07:15:04 2018-03-13 07:39:20 2018-03-01 10:45:40 2018-03-13 07:42:36 boredbird/woe garvit-kudesia91/factor_analysis inactive 24:33.4
306 Vasicek -L- https://github.com/RobinsonGarcia/fixed-income/blob/master/2.0%20Vasicek%20-%20example.ipynb https://github.com/jettbrains/-L- Bootstrapping and interpolation. NEW Fixed Income Factor and Risk Analysis 2020-12-10 21:20:03 2021-03-15 03:05:00 3.0 6.0 3.0 16.0 1.0 2018-07-18 19:26:54 2019-10-28 21:50:26 2018-07-18 19:34:48 2019-10-28 21:51:19 RobinsonGarcia/fixed-income jettbrains/-L- inactive active 23:57.7
307 market-data TradeFinexLive https://github.com/kriasoft/market-data https://github.com/XinFinOrg/TradeFinexLive NEW Fixed Income Factor and Risk Analysis 2020-06-22 10:58:20 2021-03-18 09:48:52 25.0 5.0 20.0 11.0 1.0 8.0 2012-12-07 13:42:48 2018-03-21 10:05:22 2012-12-15 12:10:06 2021-03-18 09:48:32 kriasoft/market-data XinFinOrg/TradeFinexLive inactive active 24:33.4 23:57.7
308 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
309 Pyfolio https://github.com/quantopian/pyfolio Portfolio and risk analytics in Python. Factor and Risk Analysis 2021-04-17 23:14:39 3693.0 1159.0 42.0 2015-06-01 15:31:39 2020-02-28 17:30:19 quantopian/pyfolio active
310 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 2021-03-20 21:53:18 41.0 28.0 1.0 2018-08-06 16:09:44 2020-11-22 19:02:07 hamaadshah/market_risk_gan_tensorflow active
311 AlphaTrading https://github.com/jerryxyx/AlphaTrading NEW Factor and Risk Analysis 2021-04-14 15:16:22 150.0 75.0 1.0 2018-05-18 22:09:52 2018-08-07 18:05:37 jerryxyx/AlphaTrading inactive 37:06.3
312 Risk and Return https://github.com/PyDataBlog/Python-for-Data-Science/tree/master/Tutorials Riskiness of portfolios and assets. Factor and Risk Analysis 2021-04-06 17:03:06 140.0 62.0 2.0 2017-09-12 13:35:09 2020-08-06 12:35:44 PyDataBlog/Python-for-Data-Science active
313 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
314 Factor Analysis https://github.com/alpha-miner/alpha-mind/tree/master/notebooks Factor strategy notebooks. Factor and Risk Analysis 2021-04-08 19:02:25 172.0 60.0 3.0 2017-05-01 07:36:54 2021-04-07 15:25:27 alpha-miner/alpha-mind active
315 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 active
316 surpriver Vasicek https://github.com/tradytics/surpriver https://github.com/RobinsonGarcia/fixed-income/blob/master/2.0%20Vasicek%20-%20example.ipynb 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 Bootstrapping and interpolation. Other Models Fixed Income 2021-04-17 22:30:38 2020-12-10 21:20:03 1191.0 3.0 221.0 3.0 6.0 1.0 2020-08-30 07:56:22 2018-07-18 19:26:54 2020-09-21 04:32:05 2018-07-18 19:34:48 tradytics/surpriver RobinsonGarcia/fixed-income active inactive 3.0 39:24.6
317 mosquito woe https://github.com/miro-ka/mosquito https://github.com/boredbird/woe 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 NEW Other Models Fixed Income 2021-04-17 08:06:53 2021-04-17 07:45:48 225.0 44.0 96.0 2.0 1.0 2017-06-18 19:57:17 2017-09-11 07:15:04 2021-03-14 22:22:00 2018-03-01 10:45:40 miro-ka/mosquito boredbird/woe active inactive 3.0 39:24.6 24:33.4
318 botflow market-data https://github.com/kkyon/botflow https://github.com/kriasoft/market-data 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 NEW Other Models Fixed Income 2021-03-31 10:56:44 2020-06-22 10:58:20 1165.0 25.0 102.0 20.0 8.0 1.0 2018-08-20 03:13:31 2012-12-07 13:42:48 2019-05-23 14:40:50 2012-12-15 12:10:06 kkyon/botflow kriasoft/market-data active inactive 2.0 39:24.6 24:33.4
319 stock-trading-ml Corporate Bonds https://github.com/yacoubb/stock-trading-ml https://github.com/ishank011/gs-quantify-bond-prediction 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 Predicting the buying and selling volume of the corporate bonds. Other Models Fixed Income 2021-04-17 20:08:36 2021-01-03 21:46:55 343.0 7.0 186.0 5.0 1.0 2019-10-10 09:44:02 2017-09-27 19:57:13 2019-10-12 11:38:49 2017-09-27 20:00:29 yacoubb/stock-trading-ml ishank011/gs-quantify-bond-prediction active inactive 3.0 39:24.6
320 Trend Following MagentoExtensions http://inseaddataanalytics.github.io/INSEADAnalytics/ExerciseSet2.html https://github.com/5mehulhelp5/MagentoExtensions A futures trend following portfolio investment strategy. NEW Other Models Fixed Income 2021-02-12 08:45:08 106.0 110.0 2.0 2014-07-03 05:45:54 2017-11-24 16:15:49 5mehulhelp5/MagentoExtensions inactive 24:33.4
321 Short-Term Movement Cues rating_history https://github.com/anfederico/Clairvoyant https://github.com/govwiki/rating_history Identify social/historical cues for short term stock movement. Sklearn SVM model is used and good visualization coded in matplotlib NEW Other Models Fixed Income 2021-04-14 20:27:20 2021-01-23 06:27:24 2168.0 26.0 681.0 13.0 1.0 2016-09-12 18:38:17 2017-11-23 22:52:14 2018-08-29 20:27:19 2017-12-03 20:42:49 anfederico/clairvoyant govwiki/rating_history inactive 3.0 24:33.4
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 2021-04-18 00:08:47 2308.0 712.0 3.0 2019-02-13 16:57:25 2021-04-16 09:41:56 hudson-and-thames/mlfinlab 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 2021-04-12 20:30:26 601.0 388.0 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
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 2021-04-17 15:11:39 182.0 122.0 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
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 2021-04-17 15:33:28 281.0 127.0 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
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 2021-04-14 05:03:31 251.0 106.0 3.0 2019-09-27 16:13:50 2020-06-13 21:20:26 mfrdixon/ML_Finance_Codes active 3.0 39:24.6
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 2021-04-12 20:51:51 461.0 54.0 1.0 2016-03-11 19:13:00 2020-12-21 03:54:51 melling/MathAndScienceNotes active 3.0 39:24.6
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 2021-03-02 19:44:01 31.0 31.0 1.0 2017-03-20 18:54:24 2017-04-25 23:35:20 BlackArbsCEO/Mixture_Models inactive 2.0
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 2021-04-18 00:09:27 936.0 347.0 2.0 2017-02-12 04:50:44 2021-02-04 03:48:33 robertmartin8/MachineLearningStocks active 3.0
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 2021-04-15 08:59:43 261.0 101.0 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
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 2021-04-15 12:34:27 103.0 31.0 2.0 2017-09-03 17:43:03 2018-09-12 18:58:38 amicks/Speculator inactive 3.0 39:24.6
322 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 2021-04-16 10:17:52 385.0 128.0 1.0 2018-07-22 08:14:46 2021-02-17 14:39:30 Hvass-Labs/FinanceOps active 3.0
323 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 2021-04-17 14:08:56 118.0 70.0 2.0 2020-05-10 00:25:56 2021-01-23 17:15:07 tatsath/fin-ml active 4.0 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 2021-04-15 13:47:20 579.0 130.0 3.0 2016-02-14 00:47:32 2021-02-08 21:35:40 ScottfreeLLC/AlphaPy active 4.0 39:24.6
324 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 2021-04-01 20:11:59 205.0 119.0 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
325 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 2021-04-17 12:01:58 236.0 94.0 1.0 2017-01-17 12:44:52 2017-01-17 12:48:17 AdeelMufti/CryptoBot inactive 2.0 39:24.6
326 Mixture Models II https://github.com/BlackArbsCEO/mixture_model_trading_public Mixture models and stock trading. Other Models 2021-03-12 13:21:17 166.0 73.0 1.0 2017-12-11 17:05:38 2020-05-13 23:50:47 BlackArbsCEO/mixture_model_trading_public active 3.0
331 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 2021-04-15 13:27:22 176.0 95.0 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
332 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 2021-04-17 15:09:02 178.0 65.0 9.0 2019-12-29 05:18:07 2021-04-12 19:37:21 DaveSkender/Stock.Indicators active 3.0 39:24.6
333 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 2021-04-08 15:28:17 282.0 117.0 1.0 2018-06-29 21:21:17 2019-02-18 12:34:54 jjakimoto/finance_ml inactive 1.0 39:24.6
334 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 2021-04-15 12:34:27 103.0 31.0 2.0 2017-09-03 17:43:03 2018-09-12 18:58:38 amicks/Speculator inactive 3.0 39:24.6
335 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 2021-04-15 08:59:43 261.0 101.0 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
336 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 2021-04-15 13:47:20 579.0 130.0 3.0 2016-02-14 00:47:32 2021-02-08 21:35:40 ScottfreeLLC/AlphaPy active 4.0 39:24.6
337 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 2021-03-02 19:44:01 31.0 31.0 1.0 2017-03-20 18:54:24 2017-04-25 23:35:20 BlackArbsCEO/Mixture_Models inactive 2.0
338 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 2021-04-17 22:30:38 1191.0 221.0 6.0 2020-08-30 07:56:22 2020-09-21 04:32:05 tradytics/surpriver active 3.0 39:24.6
339 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 2021-04-18 00:09:27 936.0 347.0 2.0 2017-02-12 04:50:44 2021-02-04 03:48:33 robertmartin8/MachineLearningStocks active 3.0
340 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 2021-03-31 10:56:44 1165.0 102.0 8.0 2018-08-20 03:13:31 2019-05-23 14:40:50 kkyon/botflow active 2.0 39:24.6
341 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 2021-04-17 20:08:36 343.0 186.0 1.0 2019-10-10 09:44:02 2019-10-12 11:38:49 yacoubb/stock-trading-ml active 3.0 39:24.6
342 Trend Following http://inseaddataanalytics.github.io/INSEADAnalytics/ExerciseSet2.html A futures trend following portfolio investment strategy. Other Models
343 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 2021-04-14 20:27:20 2168.0 681.0 1.0 2016-09-12 18:38:17 2018-08-29 20:27:19 anfederico/clairvoyant inactive 3.0
344 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 2021-04-17 08:06:53 225.0 44.0 2.0 2017-06-18 19:57:17 2021-03-14 22:22:00 miro-ka/mosquito active 3.0 39:24.6
345 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 2021-04-12 20:30:26 601.0 388.0 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
346 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 2021-04-17 15:11:39 182.0 122.0 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
347 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 2021-04-17 15:33:28 281.0 127.0 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
348 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 2021-04-14 05:03:31 251.0 106.0 3.0 2019-09-27 16:13:50 2020-06-13 21:20:26 mfrdixon/ML_Finance_Codes active 3.0 39:24.6
349 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 2021-04-12 20:51:51 461.0 54.0 1.0 2016-03-11 19:13:00 2020-12-21 03:54:51 melling/MathAndScienceNotes active 3.0 39:24.6
350 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 2021-04-18 00:08:47 2308.0 712.0 3.0 2019-02-13 16:57:25 2021-04-16 09:41:56 hudson-and-thames/mlfinlab active 3.0 39:24.6
351 Machine Learning in Asset Management https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3420952 Personal Papers
352 Machine Learning in Asset Management—Part 1: Portfolio Construction—Trading Strategies https://jfds.pm-research.com/content/2/1/10 Personal Papers
353 Machine Learning in Asset Management—Part 2: Portfolio Construction—Weight Optimization https://jfds.pm-research.com/content/2/2/17 Personal Papers
354 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
Machine Learning in Asset Management https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3420952 Personal Papers
OLMAR Algorithm https://github.com/charlessutton/OLMAR/blob/master/Part3.ipynb Relative importance of each component of the OLMAR algorithm. Portfolio Selection and Optimisation 2021-04-08 19:07:41 7.0 4.0 1.0 2016-07-26 16:20:10 2016-12-30 11:40:53 charlessutton/OLMAR inactive
Deep Portfolio Theory https://github.com/tcloaa/Deep-Portfolio-Theory Autoencoder framework for portfolio selection. Portfolio Selection and Optimisation 2021-04-06 11:47:13 105.0 57.0 1.0 2017-02-10 09:03:08 2018-03-08 16:47:00 tcloaa/Deep-Portfolio-Theory inactive
Reinforcement Learning https://github.com/filangel/qtrader Reinforcement Learning for Portfolio Management. Portfolio Selection and Optimisation 2021-04-17 02:36:03 366.0 150.0 1.0 2017-10-07 09:14:33 2018-06-26 09:22:27 filangelos/qtrader inactive
PyPortfolioOpt https://github.com/robertmartin8/PyPortfolioOpt Financial portfolio optimisation, including classical efficient frontier and advanced methods. Portfolio Selection and Optimisation 2021-04-18 00:08:59 1915.0 482.0 17.0 2018-05-29 13:30:30 2021-04-13 13:26:27 robertmartin8/PyPortfolioOpt active
Efficient Frontier https://github.com/tthustla/efficient_frontier/blob/master/Efficient%20_Frontier_implementation.ipynb Modern Portfolio Theory. Portfolio Selection and Optimisation 2021-03-30 00:01:39 104.0 57.0 1.0 2018-02-17 08:19:46 2018-02-27 13:16:57 tthustla/efficient_frontier inactive
riskparity.py https://github.com/dppalomar/riskparity.py NEW Portfolio Selection and Optimisation 2021-04-16 02:34:07 126.0 31.0 2.0 2019-07-13 21:30:55 2021-04-16 02:33:54 dppalomar/riskparity.py active 37:19.5
node-finance https://github.com/albertosantini/node-finance NEW Portfolio Selection and Optimisation 2021-04-05 08:01:36 101.0 26.0 3.0 2011-09-17 17:49:56 2021-04-05 08:01:12 albertosantini/node-finance active 37:19.5
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
355 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
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 2021-04-17 02:36:39 235.0 82.0 3.0 2018-11-16 12:20:25 2019-07-04 01:41:46 VivekPa/OptimalPortfolio active
DeepDow https://github.com/jankrepl/deepdow Portfolio optimization with deep learning. Portfolio Selection and Optimisation 2021-04-16 20:23:44 315.0 58.0 2.0 2020-02-02 08:46:33 2021-02-16 18:50:53 jankrepl/deepdow 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
356 Policy Gradient Portfolio https://github.com/ZhengyaoJiang/PGPortfolio A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem. Portfolio Selection and Optimisation 2021-04-16 16:49:39 1288.0 628.0 6.0 2017-11-12 16:08:44 2019-05-09 09:50:18 ZhengyaoJiang/PGPortfolio active
357 Riskfolio-Lib https://github.com/dcajasn/Riskfolio-Lib NEW Portfolio Selection and Optimisation 2021-04-18 00:09:49 380.0 62.0 1.0 2020-03-02 19:49:06 2021-04-01 03:50:59 dcajasn/Riskfolio-Lib active 37:19.5
358 financial-news-dataset Online Portfolio Selection https://github.com/philipperemy/financial-news-dataset https://nbviewer.jupyter.org/github/paulperry/quant/blob/master/OLPS_Comparison.ipynb NEW ****Comparing OLPS algorithms on a diversified set of ETFs. Textual Portfolio Selection and Optimisation 2021-04-14 21:24:02 154.0 75.0 1.0 2016-08-23 13:29:07 2021-03-04 06:34:24 philipperemy/financial-news-dataset active 24:28.5
359 Fund classification DeepDow https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb https://github.com/jankrepl/deepdow Fund classification using text mining and NLP. Portfolio optimization with deep learning. Textual Portfolio Selection and Optimisation 2021-03-31 02:12:50 2021-04-16 20:23:44 4.0 315.0 2.0 58.0 1.0 2.0 2018-04-16 22:18:55 2020-02-02 08:46:33 2018-06-07 22:01:32 2021-02-16 18:50:53 frechfrechfrech/Mutual-Fund-Market-Clusters jankrepl/deepdow inactive active
360 awesome-financial-nlp Distribution Characteristic Optimisation https://github.com/icoxfog417/awesome-financial-nlp https://github.com/VivekPa/OptimalPortfolio NEW Extends classical portfolio optimisation to take the skewness and kurtosis of the distribution of market invariants into account. Textual Portfolio Selection and Optimisation 2021-04-12 06:35:02 2021-04-17 02:36:39 226.0 235.0 36.0 82.0 2.0 3.0 2019-10-03 03:53:20 2018-11-16 12:20:25 2020-02-01 08:28:16 2019-07-04 01:41:46 icoxfog417/awesome-financial-nlp VivekPa/OptimalPortfolio active 24:28.5
361 Buzzwords Modern Portfolio Theory https://github.com/swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds https://nbviewer.jupyter.org/github/Marigold/universal-portfolios/blob/master/modern-portfolio-theory.ipynb Return performance and mutual fund selection. Universal portfolios; modern portfolio theory. Textual Portfolio Selection and Optimisation 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
362 Financial Sentiment Analysis Deep Portfolio Theory https://github.com/EricHe98/Financial-Statements-Text-Analysis https://github.com/tcloaa/Deep-Portfolio-Theory Sentiment, distance and proportion analysis for trading signals. Autoencoder framework for portfolio selection. Textual Portfolio Selection and Optimisation 2021-04-15 13:32:11 2021-04-06 11:47:13 49.0 105.0 27.0 57.0 1.0 2017-06-23 00:05:49 2017-02-10 09:03:08 2019-01-26 03:35:55 2018-03-08 16:47:00 EricHe98/Financial-Statements-Text-Analysis tcloaa/Deep-Portfolio-Theory inactive
363 Extensive NLP riskparity.py https://github.com/TiesdeKok/Python_NLP_Tutorial/blob/master/NLP_Notebook.ipynb https://github.com/dppalomar/riskparity.py Comprehensive NLP techniques for accounting research. NEW Textual Portfolio Selection and Optimisation 2021-03-21 07:39:02 2021-04-16 02:34:07 73.0 126.0 42.0 31.0 1.0 2.0 2017-10-25 07:10:26 2019-07-13 21:30:55 2020-06-05 03:28:46 2021-04-16 02:33:54 TiesdeKok/Python_NLP_Tutorial dppalomar/riskparity.py active 37:19.5
364 FinBERT Efficient Frontier https://github.com/psnonis/FinBERT https://github.com/tthustla/efficient_frontier/blob/master/Efficient%20_Frontier_implementation.ipynb NEW Modern Portfolio Theory. Textual Portfolio Selection and Optimisation 2021-04-14 20:54:56 2021-03-30 00:01:39 140.0 104.0 46.0 57.0 3.0 1.0 2019-07-09 16:34:27 2018-02-17 08:19:46 2020-05-19 02:02:20 2018-02-27 13:16:57 psnonis/FinBERT tthustla/efficient_frontier active inactive 24:28.5
365 Financial Statement Sentiment PyPortfolioOpt https://github.com/MAydogdu/TextualAnalysis https://github.com/robertmartin8/PyPortfolioOpt Extracting sentiment from financial statements using neural networks. Financial portfolio optimisation, including classical efficient frontier and advanced methods. Textual Portfolio Selection and Optimisation 2021-03-31 02:10:58 2021-04-18 00:08:59 8.0 1915.0 7.0 482.0 1.0 17.0 2018-06-04 20:54:14 2018-05-29 13:30:30 2018-06-04 20:56:02 2021-04-13 13:26:27 MAydogdu/TextualAnalysis robertmartin8/PyPortfolioOpt inactive active
366 BDCI2019-Negative_Finance_Info_Judge Reinforcement Learning https://github.com/A-Rain/BDCI2019-Negative_Finance_Info_Judge https://github.com/filangel/qtrader NEW Reinforcement Learning for Portfolio Management. Textual Portfolio Selection and Optimisation 2021-04-06 09:30:38 2021-04-17 02:36:03 107.0 366.0 23.0 150.0 3.0 1.0 2019-12-27 03:49:31 2017-10-07 09:14:33 2020-12-04 03:38:57 2018-06-26 09:22:27 A-Rain/BDCI2019-Negative_Finance_Info_Judge filangelos/qtrader active inactive 24:28.5
367 Accounting Anomalies OLMAR Algorithm https://github.com/GitiHubi/deepAI/blob/master/GTC_2018_Lab-solutions.ipynb https://github.com/charlessutton/OLMAR/blob/master/Part3.ipynb Using deep-learning frameworks to identify accounting anomalies. Relative importance of each component of the OLMAR algorithm. Textual Portfolio Selection and Optimisation 2021-04-12 07:47:50 2021-04-08 19:07:41 110.0 7.0 51.0 4.0 2.0 1.0 2017-05-24 12:36:38 2016-07-26 16:20:10 2019-08-07 21:47:08 2016-12-30 11:40:53 GitiHubi/deepAI charlessutton/OLMAR active inactive
368 NLP Event node-finance https://github.com/yuriak/DLQuant https://github.com/albertosantini/node-finance Applying Deep Learning and NLP in Quantitative Trading. NEW Textual Portfolio Selection and Optimisation 2021-04-01 02:16:38 2021-04-05 08:01:36 70.0 101.0 32.0 26.0 1.0 3.0 2018-07-02 23:50:52 2011-09-17 17:49:56 2019-01-31 14:08:20 2021-04-05 08:01:12 yuriak/DLQuant albertosantini/node-finance inactive active 37:19.5
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
FinNLP-Progress https://github.com/YangLinyi/FinNLP-Progress NEW Textual 2021-04-13 00:10:49 164.0 19.0 5.0 2020-05-21 09:59:56 2021-03-23 08:14:07 YangLinyi/FinNLP-Progress active 24:28.5
news-emotion https://github.com/dongyuanxin/news-emotion NEW Textual 2021-04-13 13:13:18 245.0 117.0 1.0 2017-09-14 02:59:03 2018-06-11 13:47:51 dongyuanxin/news-emotion inactive 24:28.5
369 NLP https://github.com/toamitesh/NLPinFinance This project assembles a lot of NLP operations needed for finance domain. Textual toamitesh/NLPinFinance
370 Industry Clustering news-emotion https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries https://github.com/dongyuanxin/news-emotion Project to cluster industries according to financial attributes. NEW Unsupervised Textual 2020-10-06 18:51:22 2021-04-13 13:13:18 4.0 245.0 5.0 117.0 1.0 2017-07-21 02:12:51 2017-09-14 02:59:03 2017-07-23 02:53:37 2018-06-11 13:47:51 SeanMcOwen/FinanceAndPython.com-ClusteringIndustries dongyuanxin/news-emotion inactive 24:28.5
371 Fund Clusters FinNLP-Progress https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb https://github.com/YangLinyi/FinNLP-Progress Data exploration of fund clusters. NEW Unsupervised Textual 2021-03-31 02:12:50 2021-04-13 00:10:49 4.0 164.0 2.0 19.0 1.0 5.0 2018-04-16 22:18:55 2020-05-21 09:59:56 2018-06-07 22:01:32 2021-03-23 08:14:07 frechfrechfrech/Mutual-Fund-Market-Clusters YangLinyi/FinNLP-Progress inactive active 24:28.5
372 PCA Pairs Trading Earning call transcripts https://github.com/joelQF/quant-finance/tree/master/Artificial_IntelIigence_for_Trading https://github.com/lin882/WebAnalyticsProject PCA, Factor Returns, and trading strategies. Correlation between mutual fund investment decision and earning call transcripts. Unsupervised 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 joelQF/quant-finance lin882/WebAnalyticsProject inactive
373 Eigen-Portfolio NLP Event https://github.com/Gustrigos/Eigen-Portfolio https://github.com/yuriak/DLQuant NEW Applying Deep Learning and NLP in Quantitative Trading. Unsupervised Textual 2021-03-26 18:57:30 2021-04-01 02:16:38 35.0 70.0 11.0 32.0 1.0 2018-09-05 05:29:18 2018-07-02 23:50:52 2020-04-09 21:40:04 2019-01-31 14:08:20 Gustrigos/Eigen-Portfolio yuriak/DLQuant active inactive 24:29.9
374 VRA Stock Embedding BDCI2019-Negative_Finance_Info_Judge https://github.com/ml-hongkong/stock2vec https://github.com/A-Rain/BDCI2019-Negative_Finance_Info_Judge Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history. NEW Unsupervised Textual 2020-10-20 11:05:55 2021-04-06 09:30:38 32.0 107.0 12.0 23.0 1.0 3.0 2017-06-21 04:47:14 2019-12-27 03:49:31 2017-06-21 04:51:13 2020-12-04 03:38:57 ml-hongkong/stock2vec A-Rain/BDCI2019-Negative_Finance_Info_Judge inactive active 24:28.5
375 all-classification-templetes-for-ML Financial Statement Sentiment https://github.com/sayantann11/all-classification-templetes-for-ML https://github.com/MAydogdu/TextualAnalysis NEW Extracting sentiment from financial statements using neural networks. Unsupervised Textual 2021-04-12 13:32:32 2021-03-31 02:10:58 22.0 8.0 14.0 7.0 1.0 2020-05-05 10:28:52 2018-06-04 20:54:14 2020-05-05 10:30:32 2018-06-04 20:56:02 sayantann11/all-classification-templetes-for-ML MAydogdu/TextualAnalysis active inactive 24:29.9
376 Industry Clustering Accounting Anomalies https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries https://github.com/GitiHubi/deepAI/blob/master/GTC_2018_Lab-solutions.ipynb Clustering of industries. Using deep-learning frameworks to identify accounting anomalies. Unsupervised Textual 2020-10-06 18:51:22 2021-04-12 07:47:50 4.0 110.0 5.0 51.0 1.0 2.0 2017-07-21 02:12:51 2017-05-24 12:36:38 2017-07-23 02:53:37 2019-08-07 21:47:08 SeanMcOwen/FinanceAndPython.com-ClusteringIndustries GitiHubi/deepAI inactive active
377 AnomalyDetectionOnRisk Extensive NLP https://github.com/SimonWesterlindVPD/AnomalyDetectionOnRisk https://github.com/TiesdeKok/Python_NLP_Tutorial/blob/master/NLP_Notebook.ipynb NEW Comprehensive NLP techniques for accounting research. Unsupervised Textual 2020-08-25 00:02:49 2021-03-21 07:39:02 11.0 73.0 5.0 42.0 1.0 2018-05-31 15:53:02 2017-10-25 07:10:26 2018-05-31 16:18:28 2020-06-05 03:28:46 SimonWesterlindVPD/AnomalyDetectionOnRisk TiesdeKok/Python_NLP_Tutorial inactive active 24:29.9
378 Financial Sentiment Analysis https://github.com/EricHe98/Financial-Statements-Text-Analysis Sentiment, distance and proportion analysis for trading signals. Textual 2021-04-15 13:32:11 49.0 27.0 1.0 2017-06-23 00:05:49 2019-01-26 03:35:55 EricHe98/Financial-Statements-Text-Analysis inactive
379 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
380 awesome-financial-nlp https://github.com/icoxfog417/awesome-financial-nlp NEW Textual 2021-04-12 06:35:02 226.0 36.0 2.0 2019-10-03 03:53:20 2020-02-01 08:28:16 icoxfog417/awesome-financial-nlp active 24:28.5
381 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 2.0 1.0 2018-04-16 22:18:55 2018-06-07 22:01:32 frechfrechfrech/Mutual-Fund-Market-Clusters inactive
382 financial-news-dataset https://github.com/philipperemy/financial-news-dataset NEW Textual 2021-04-14 21:24:02 154.0 75.0 1.0 2016-08-23 13:29:07 2021-03-04 06:34:24 philipperemy/financial-news-dataset active 24:28.5
383 FinBERT https://github.com/psnonis/FinBERT NEW Textual 2021-04-14 20:54:56 140.0 46.0 3.0 2019-07-09 16:34:27 2020-05-19 02:02:20 psnonis/FinBERT active 24:28.5
384 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
385 AnomalyDetectionOnRisk https://github.com/SimonWesterlindVPD/AnomalyDetectionOnRisk NEW Unsupervised 2020-08-25 00:02:49 11.0 5.0 1.0 2018-05-31 15:53:02 2018-05-31 16:18:28 SimonWesterlindVPD/AnomalyDetectionOnRisk inactive 24:29.9
386 Industry Clustering https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries Clustering of industries. Unsupervised 2020-10-06 18:51:22 4.0 5.0 1.0 2017-07-21 02:12:51 2017-07-23 02:53:37 SeanMcOwen/FinanceAndPython.com-ClusteringIndustries inactive
387 all-classification-templetes-for-ML https://github.com/sayantann11/all-classification-templetes-for-ML NEW Unsupervised 2021-04-12 13:32:32 22.0 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
388 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 2.0 1.0 2018-04-16 22:18:55 2018-06-07 22:01:32 frechfrechfrech/Mutual-Fund-Market-Clusters inactive
389 Eigen-Portfolio https://github.com/Gustrigos/Eigen-Portfolio NEW Unsupervised 2021-03-26 18:57:30 35.0 11.0 1.0 2018-09-05 05:29:18 2020-04-09 21:40:04 Gustrigos/Eigen-Portfolio active 24:29.9
390 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
391 Industry Clustering https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries Project to cluster industries according to financial attributes. Unsupervised 2020-10-06 18:51:22 4.0 5.0 1.0 2017-07-21 02:12:51 2017-07-23 02:53:37 SeanMcOwen/FinanceAndPython.com-ClusteringIndustries inactive
392 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
393 VRA Stock Embedding https://github.com/ml-hongkong/stock2vec Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history. Unsupervised 2020-10-20 11:05:55 32.0 12.0 1.0 2017-06-21 04:47:14 2017-06-21 04:51:13 ml-hongkong/stock2vec inactive
394 Pairs Trading https://github.com/marketneutral/pairs-trading-with-ML/blob/master/Pairs%2BTrading%2Bwith%2BMachine%2BLearning.ipynb Finding pairs with cluster analysis. Unsupervised 2021-04-04 17:55:35 79.0 37.0 0.0 2017-09-05 19:19:19 2017-09-27 20:42:14 marketneutral/pairs-trading-with-ML inactive