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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,,
NYU FRE,https://engineering.nyu.edu/academics/departments/finance-and-risk-engineering,Finance and Risk Engineering (NYU Tandon),Colleges Centers and Departments,,,,,,,,,,
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,,,,,,,,,,
Oxford Man,https://www.oxford-man.ox.ac.uk/,Oxford-Man Institute of Quantitative Finance,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,,,,,,,,,,
NYU Courant,https://cims.nyu.edu/,"Courant Institute of Mathematical Sciences, New York University",Colleges Centers and Departments,,,,,,,,,,
Oxford Man,https://www.oxford-man.ox.ac.uk/,Oxford-Man Institute of Quantitative Finance,Colleges Centers and Departments,,,,,,,,,,
ml-workspace,https://github.com/AdicherlaVenkataSai/ml-workspace,NEW,Courses,2021-04-24 12:23:17,248.0,82.0,1.0,2020-07-10 06:38:10,2020-09-23 18:16:09,AdicherlaVenkataSai/ml-workspace,active,,2021-04-19 01:25:20.750834
china-dictatorship,https://github.com/cirosantilli/china-dictatorship,NEW,Courses,2021-04-24 15:21:16,390.0,35.0,4.0,2015-04-02 20:51:50,2021-04-22 01:00:00,cirosantilli/china-dictatorship,active,,2021-04-19 01:25:20.750834
coursera-deep-learning-specialization,https://github.com/amanchadha/coursera-deep-learning-specialization,NEW,Courses,2021-04-24 12:52:39,242.0,258.0,1.0,2020-06-24 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,2021-04-24 09:35:56,510.0,289.0,2.0,2017-10-31 23:01:08,2020-01-14 03:24:16,zyxue/stanford-cs229,active,,2021-04-19 01:25:20.750834
stanford-cs231,https://github.com/machinelearningnanodegree/stanford-cs231,NEW,Courses,2021-04-24 21:27:27,250.0,123.0,4.0,2016-09-05 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,2021-04-22 21:28:10,3756.0,30732.0,13.0,2014-01-21 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,2021-04-24 20:14:01,1146.0,1352.0,28.0,2017-09-18 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 15:53:08,706.0,2404.0,10.0,2015-03-09 00:51:32,2016-02-16 06:12:54,sux13/DataScienceSpCourseNotes,inactive,,2021-04-19 01:25:20.750834
competitive-data-science,https://github.com/hse-aml/competitive-data-science,NEW,Courses,2021-04-23 19:36:28,560.0,571.0,9.0,2017-10-28 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,2021-04-19 12:59:10,898.0,2442.0,6.0,2013-04-12 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 00:54:51,644.0,250.0,15.0,2017-12-29 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 17:41:18,1490.0,969.0,1.0,2015-08-07 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,,,,,,,,,,
NYU FRE,https://engineering.nyu.edu/academics/departments/finance-and-risk-engineering,Finance and Risk Engineering (NYU Tandon),Colleges Centers and Departments,,,,,,,,,,
Stanford Advanced Financial Technologies,https://fintech.stanford.edu/,Stanford Advanced Financial Technologies Laboratory,Colleges Centers and Departments,,,,,,,,,,
Introduction-to-Machine-Learning,https://github.com/codeheroku/Introduction-to-Machine-Learning,NEW,Courses,2021-04-24 20:25:59,274.0,751.0,3.0,2019-02-09 12:07:52,2020-11-28 08:44:08,codeheroku/Introduction-to-Machine-Learning,active,,2021-04-19 01:25:20.750834
machine-learning-notebooks,https://github.com/krasserm/machine-learning-notebooks,NEW,Courses,2021-04-18 23:04:06,284.0,126.0,1.0,2017-07-24 10:21:05,2020-09-07 12:48:43,krasserm/machine-learning-notebooks,active,,2021-04-19 01:25:20.750834
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,2021-04-24 19:06:00,1072.0,455.0,1.0,2015-09-01 19:59:59,2021-04-21 20:07:34,gboeing/ppd599,active,,2021-04-19 01:25:20.750834
ml-mipt,https://github.com/girafe-ai/ml-mipt,NEW,Courses,2021-04-22 19:27:43,512.0,373.0,7.0,2019-02-01 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,2021-04-24 14:54:59,1050.0,564.0,1.0,2017-10-17 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
Machine-Learning-by-Andrew-Ng-in-Python,https://github.com/Benlau93/Machine-Learning-by-Andrew-Ng-in-Python,NEW,Courses,2021-04-24 23:38:32,237.0,200.0,1.0,2018-12-06 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,2021-04-19 11:42:16,374.0,332.0,1.0,2016-08-20 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 19:59:17,235.0,88.0,4.0,2018-04-09 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,2021-04-20 20:19:09,645.0,509.0,29.0,2016-07-13 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 22:10:59,513.0,364.0,1.0,2011-12-25 10:00:48,2011-12-25 10:01:12,zhouxc/Stanford-Machine-Learning-Course,inactive,,2021-04-19 01:25:20.750834
ciml,https://github.com/hal3/ciml,NEW,Courses,2021-04-20 02:46:13,776.0,219.0,2.0,2015-08-12 19:26:00,2017-01-20 16:24:19,hal3/ciml,inactive,,2021-04-19 01:25:20.750834
zero-to-mastery-ml,https://github.com/mrdbourke/zero-to-mastery-ml,NEW,Courses,2021-04-23 17:26:07,692.0,1189.0,14.0,2019-09-23 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-fs18,https://github.com/rasbt/stat479-machine-learning-fs18,NEW,Courses,2021-04-23 17:47:16,420.0,207.0,1.0,2018-09-06 00:30:56,2018-12-20 23:45:13,rasbt/stat479-machine-learning-fs18,inactive,,2021-04-19 01:25:20.750834
mlcourse,https://github.com/davidrosenberg/mlcourse,NEW,Courses,2021-04-21 14:07:37,399.0,215.0,9.0,2015-10-11 22:18:25,2021-03-14 01:19:08,davidrosenberg/mlcourse,active,,2021-04-19 01:25:20.750834
MachineLearningWithPython,https://github.com/JerryKurata/MachineLearningWithPython,NEW,Courses,2021-04-24 13:03:17,227.0,340.0,1.0,2016-04-24 21:20:10,2021-04-15 18:17:30,JerryKurata/MachineLearningWithPython,active,,2021-04-19 01:25:20.750834
Coursera-Stanford-ML-Python,https://github.com/mstampfer/Coursera-Stanford-ML-Python,NEW,Courses,2021-04-24 03:19:32,403.0,233.0,3.0,2015-10-28 19:51:00,2016-09-02 00:21:30,mstampfer/Coursera-Stanford-ML-Python,inactive,,2021-04-19 01:25:20.750834
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,2021-04-24 20:03:21,2393.0,831.0,11.0,2018-05-09 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,2021-04-23 06:38:21,256.0,475.0,3.0,2018-07-18 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,2021-04-24 16:56:04,294.0,2608.0,2.0,2019-01-09 20:30:46,2021-04-20 05:27:37,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,2021-04-24 23:40:42,10482.0,1937.0,30.0,2015-02-22 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,2021-04-23 22:25:58,6640.0,1218.0,9.0,2019-02-15 00:23:19,2020-04-21 03:19:12,instillai/machine-learning-course,active,,2021-04-19 01:25:20.750834
awesome-ml-courses,https://github.com/luspr/awesome-ml-courses,NEW,Courses,2021-04-24 11:46:40,1977.0,215.0,4.0,2020-05-08 20:41:59,2021-02-18 20:26:31,luspr/awesome-ml-courses,active,,2021-04-19 01:25:20.750834
machine-learning-coursera-1,https://github.com/Borye/machine-learning-coursera-1,NEW,Courses,2021-04-21 10:57:35,1099.0,934.0,1.0,2014-08-28 10:48:18,2014-06-17 10:37:27,Borye/machine-learning-coursera-1,inactive,,2021-04-19 01:25:20.750834
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
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,2021-04-23 22:36:50,303.0,172.0,11.0,2017-02-04 22:44:35,2021-04-23 22:36:34,ML-course/master,active,,2021-04-19 01:25:20.750834
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,2021-04-21 13:49:36,496.0,498.0,2.0,2020-01-06 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 22:43:04,308.0,765.0,4.0,2014-07-21 22:46:20,2014-12-17 14:37:02,cs109/2014,inactive,,2021-04-19 01:25:20.750834
mlcourse.ai,https://github.com/Yorko/mlcourse.ai,NEW,Courses,2021-04-24 18:51:07,7590.0,5012.0,190.0,2017-02-27 08:32:20,2021-02-09 10:19:15,Yorko/mlcourse.ai,active,,2021-04-19 01:25:20.750834
DAT3,https://github.com/justmarkham/DAT3,NEW,Courses,2021-04-15 05:33:56,620.0,372.0,4.0,2014-09-18 20:30:19,2020-05-19 09:21:02,justmarkham/DAT3,active,,2021-04-19 01:25:20.750834
MTH594_MachineLearning,https://github.com/diefimov/MTH594_MachineLearning,NEW,Courses,2021-04-24 16:56:41,330.0,135.0,1.0,2016-03-09 07:35:19,2017-03-31 21:46:26,diefimov/MTH594_MachineLearning,inactive,,2021-04-19 01:25:20.750834
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
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,2021-04-24 20:03:32,3938.0,1272.0,8.0,2018-05-09 12:33:08,2021-04-10 22:21:29,stefan-jansen/machine-learning-for-trading,active,,
DataScienceCourse,https://github.com/briandalessandro/DataScienceCourse,NEW,Courses,2021-04-20 11:22:39,578.0,734.0,13.0,2014-10-01 08:45:51,2020-12-20 13:03:56,briandalessandro/DataScienceCourse,active,,2021-04-19 01:25:20.750834
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 17:41:18,1490.0,969.0,1.0,2015-08-07 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 00:54:51,644.0,250.0,15.0,2017-12-29 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,2021-04-19 12:59:10,898.0,2442.0,6.0,2013-04-12 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,2021-04-23 19:36:28,560.0,571.0,9.0,2017-10-28 14:56:44,2020-06-13 13:44:26,hse-aml/competitive-data-science,active,,2021-04-19 01:25:20.750834
DataScienceSpCourseNotes,https://github.com/sux13/DataScienceSpCourseNotes,NEW,Courses,2021-04-13 15:53:08,706.0,2404.0,10.0,2015-03-09 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,2021-04-24 20:14:01,1146.0,1352.0,28.0,2017-09-18 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,2021-04-22 21:28:10,3756.0,30732.0,13.0,2014-01-21 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,2021-04-24 21:27:27,250.0,123.0,4.0,2016-09-05 01:40:41,2017-02-03 16:46:46,machinelearningnanodegree/stanford-cs231,inactive,,2021-04-19 01:25:20.750834
stanford-cs229,https://github.com/zyxue/stanford-cs229,NEW,Courses,2021-04-24 09:35:56,510.0,289.0,2.0,2017-10-31 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,2021-04-24 12:52:39,242.0,258.0,1.0,2020-06-24 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,2021-04-24 15:21:16,390.0,35.0,4.0,2015-04-02 20:51:50,2021-04-22 01:00:00,cirosantilli/china-dictatorship,active,,2021-04-19 01:25:20.750834
ml-workspace,https://github.com/AdicherlaVenkataSai/ml-workspace,NEW,Courses,2021-04-24 12:23:17,248.0,82.0,1.0,2020-07-10 06:38:10,2020-09-23 18:16:09,AdicherlaVenkataSai/ml-workspace,active,,2021-04-19 01:25:20.750834
CourseraML,https://github.com/kaleko/CourseraML,NEW,Courses,2021-04-23 08:34:42,1877.0,772.0,0.0,2015-12-08 00:03:22,2018-10-30 23:49:56,kaleko/CourseraML,inactive,,2021-04-19 01:25:20.750834
datasciencecoursera,https://github.com/mGalarnyk/datasciencecoursera,NEW,Courses,2021-04-22 22:07:10,1734.0,1778.0,8.0,2016-12-27 03:59:24,2021-02-19 04:16:58,mGalarnyk/datasciencecoursera,active,,2021-04-19 01:25:20.750834
DataScience,https://github.com/JuliaAcademy/DataScience,NEW,Courses,2021-04-18 21:51:38,249.0,136.0,5.0,2020-05-21 01:26:52,2021-02-11 15:55:33,JuliaAcademy/DataScience,active,,2021-04-19 01:25:20.750834
PythonNumericalDemos,https://github.com/GeostatsGuy/PythonNumericalDemos,NEW,Courses,2021-04-22 17:39:34,247.0,188.0,1.0,2017-10-13 15:44:06,2021-04-22 17:39:29,GeostatsGuy/PythonNumericalDemos,active,,2021-04-19 01:25:20.750834
DataScienceCourse,https://github.com/briandalessandro/DataScienceCourse,NEW,Courses,2021-04-20 11:22:39,578.0,734.0,13.0,2014-10-01 08:45:51,2020-12-20 13:03:56,briandalessandro/DataScienceCourse,active,,2021-04-19 01:25:20.750834
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,,
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,2021-04-24 15:33:44,123.0,111.0,3.0,2018-08-20 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,2021-04-20 08:29:36,8.0,5.0,3.0,2018-10-03 16:26:14,2018-12-13 08:04:15,andrey-lukyanov/Risk-Management,inactive,,
Basic Derivatives,https://github.com/SeanMcOwen/FinanceAndPython.com-Derivatives,Basic forward contracts and hedging.,Courses,2021-03-31 02:08:39,4.0,4.0,1.0,2017-08-24 00:11:37,2017-10-13 01:32:23,SeanMcOwen/FinanceAndPython.com-Derivatives,inactive,,
Algo Trading,https://github.com/JCreeks/Machine-Learning-in-Finance/tree/master/0_Intro_to_Algo_Trading,Intro to algo trading.,Courses,2021-03-12 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,,
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,,
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,,
Octave,https://github.com/schneems/Octave,NEW,Courses,2021-04-22 17:29:24,774.0,490.0,1.0,2011-10-24 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,2021-04-23 14:06:52,438.0,142.0,9.0,2018-02-21 19:06:55,2021-04-23 14:06:34,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
PythonNumericalDemos,https://github.com/GeostatsGuy/PythonNumericalDemos,NEW,Courses,2021-04-22 17:39:34,247.0,188.0,1.0,2017-10-13 15:44:06,2021-04-22 17:39:29,GeostatsGuy/PythonNumericalDemos,active,,2021-04-19 01:25:20.750834
causalML,https://github.com/altdeep/causalML,NEW,Courses,2021-04-23 15:23:18,393.0,121.0,32.0,2018-12-17 05:22:47,2021-04-15 20:37:28,altdeep/causalML,active,,2021-04-19 01:25:20.750834
course-resources-ml-with-experts-budgets,https://github.com/datacamp/course-resources-ml-with-experts-budgets,NEW,Courses,2021-04-21 23:03:40,455.0,567.0,2.0,2017-03-02 13:10:27,2017-12-14 20:46:54,datacamp/course-resources-ml-with-experts-budgets,inactive,,2021-04-19 01:25:20.750834
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,2021-04-23 14:06:52,438.0,142.0,9.0,2018-02-21 19:06:55,2021-04-23 14:06:34,epfml/OptML_course,active,,2021-04-19 01:25:20.750834
Octave,https://github.com/schneems/Octave,NEW,Courses,2021-04-22 17:29:24,774.0,490.0,1.0,2011-10-24 23:50:52,2016-07-08 20:45:40,schneems/Octave,inactive,,2021-04-19 01:25:20.750834
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,,
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
CourseraML,https://github.com/kaleko/CourseraML,NEW,Courses,2021-04-23 08:34:42,1877.0,772.0,0.0,2015-12-08 00:03:22,2018-10-30 23:49:56,kaleko/CourseraML,inactive,,2021-04-19 01:25:20.750834
DAT3,https://github.com/justmarkham/DAT3,NEW,Courses,2021-04-15 05:33:56,620.0,372.0,4.0,2014-09-18 20:30:19,2020-05-19 09:21:02,justmarkham/DAT3,active,,2021-04-19 01:25:20.750834
machine-learning-coursera-1,https://github.com/Borye/machine-learning-coursera-1,NEW,Courses,2021-04-21 10:57:35,1099.0,934.0,1.0,2014-08-28 10:48:18,2014-06-17 10:37:27,Borye/machine-learning-coursera-1,inactive,,2021-04-19 01:25:20.750834
Stanford-Machine-Learning-Course,https://github.com/zhouxc/Stanford-Machine-Learning-Course,NEW,Courses,2021-04-15 22:10:59,513.0,364.0,1.0,2011-12-25 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,2021-04-20 20:19:09,645.0,509.0,29.0,2016-07-13 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 19:59:17,235.0,88.0,4.0,2018-04-09 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,2021-04-19 11:42:16,374.0,332.0,1.0,2016-08-20 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,2021-04-24 23:38:32,237.0,200.0,1.0,2018-12-06 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
zero-to-mastery-ml,https://github.com/mrdbourke/zero-to-mastery-ml,NEW,Courses,2021-04-23 17:26:07,692.0,1189.0,14.0,2019-09-23 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,2021-04-24 14:54:59,1050.0,564.0,1.0,2017-10-17 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
ml-mipt,https://github.com/girafe-ai/ml-mipt,NEW,Courses,2021-04-22 19:27:43,512.0,373.0,7.0,2019-02-01 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,2021-04-24 16:56:41,330.0,135.0,1.0,2016-03-09 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,2021-04-24 19:06:00,1072.0,455.0,1.0,2015-09-01 19:59:59,2021-04-21 20:07:34,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-notebooks,https://github.com/krasserm/machine-learning-notebooks,NEW,Courses,2021-04-18 23:04:06,284.0,126.0,1.0,2017-07-24 10:21:05,2020-09-07 12:48:43,krasserm/machine-learning-notebooks,active,,2021-04-19 01:25:20.750834
Introduction-to-Machine-Learning,https://github.com/codeheroku/Introduction-to-Machine-Learning,NEW,Courses,2021-04-24 20:25:59,274.0,751.0,3.0,2019-02-09 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,2021-04-20 02:46:13,776.0,219.0,2.0,2015-08-12 19:26:00,2017-01-20 16:24:19,hal3/ciml,inactive,,2021-04-19 01:25:20.750834
stat479-machine-learning-fs18,https://github.com/rasbt/stat479-machine-learning-fs18,NEW,Courses,2021-04-23 17:47:16,420.0,207.0,1.0,2018-09-06 00:30:56,2018-12-20 23:45:13,rasbt/stat479-machine-learning-fs18,inactive,,2021-04-19 01:25:20.750834
mlcourse.ai,https://github.com/Yorko/mlcourse.ai,NEW,Courses,2021-04-24 18:51:07,7590.0,5012.0,190.0,2017-02-27 08:32:20,2021-02-09 10:19:15,Yorko/mlcourse.ai,active,,2021-04-19 01:25:20.750834
MachineLearningWithPython,https://github.com/JerryKurata/MachineLearningWithPython,NEW,Courses,2021-04-24 13:03:17,227.0,340.0,1.0,2016-04-24 21:20:10,2021-04-15 18:17:30,JerryKurata/MachineLearningWithPython,active,,2021-04-19 01:25:20.750834
2014,https://github.com/cs109/2014,NEW,Courses,2021-03-17 22:43:04,308.0,765.0,4.0,2014-07-21 22:46:20,2014-12-17 14:37:02,cs109/2014,inactive,,2021-04-19 01:25:20.750834
DP100,https://github.com/MicrosoftLearning/DP100,NEW,Courses,2021-04-21 13:49:36,496.0,498.0,2.0,2020-01-06 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,2021-04-23 22:36:50,303.0,172.0,11.0,2017-02-04 22:44:35,2021-04-23 22:36:34,ML-course/master,active,,2021-04-19 01:25:20.750834
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
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,https://github.com/davidrosenberg/mlcourse,NEW,Courses,2021-04-21 14:07:37,399.0,215.0,9.0,2015-10-11 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,2021-04-24 11:46:40,1977.0,215.0,4.0,2020-05-08 20:41:59,2021-02-18 20:26:31,luspr/awesome-ml-courses,active,,2021-04-19 01:25:20.750834
machine-learning-course,https://github.com/instillai/machine-learning-course,NEW,Courses,2021-04-23 22:25:58,6640.0,1218.0,9.0,2019-02-15 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,2021-04-24 23:40:42,10482.0,1937.0,30.0,2015-02-22 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,2021-04-24 16:56:04,294.0,2608.0,2.0,2019-01-09 20:30:46,2021-04-20 05:27:37,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,2021-04-23 06:38:21,256.0,475.0,3.0,2018-07-18 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,2021-04-24 20:03:21,2393.0,831.0,11.0,2018-05-09 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
Coursera-Stanford-ML-Python,https://github.com/mstampfer/Coursera-Stanford-ML-Python,NEW,Courses,2021-04-24 03:19:32,403.0,233.0,3.0,2015-10-28 19:51:00,2016-09-02 00:21:30,mstampfer/Coursera-Stanford-ML-Python,inactive,,2021-04-19 01:25:20.750834
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,,
Capital Markets Data,https://www.capitalmarketsdata.com/,,Data,,,,,,,,,,
Employee Count SEC Filings,https://github.com/healthgradient/sec_employee_information_extraction,,Data,2021-04-18 03:25:43,11.0,2.0,1.0,2018-06-26 23:33:51,2018-08-14 01:31:13,healthgradient/sec_employee_information_extraction,inactive,,
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 19:22:59,11.0,11.0,1.0,2018-06-11 22:51:57,2018-07-10 18:03:52,TiesdeKok/UW_Python_Camp,inactive,,
Open Edgar,https://github.com/LexPredict/openedgar,,Data,2021-04-23 14:57:48,172.0,61.0,6.0,2018-05-07 15:32:31,2019-05-15 08:32:30,LexPredict/openedgar,active,,
Web Scraping (FirmAI),https://github.com/firmai/business-machine-learning/blob/master/www.firmai.org/data,,Data,2021-04-23 02:45:53,576.0,184.0,2.0,2019-02-19 19:02:59,2020-07-22 16:48:21,firmai/business-machine-learning,active,,
Rating Industries,http://www.ratingshistory.info/,,Data,,,,,,,,,,
https://stooq.com,https://stooq.com,,Data,,,,,,,,,,
Financial Corporate,http://raw.rutgers.edu/Corporate%20Financial%20Data.html,,Data,,,,,,,,,,
https://fred.stlouisfed.org/,https://fred.stlouisfed.org/,,Data,,,,,,,,,,
http://finance.yahoo.com/,http://finance.yahoo.com/,,Data,,,,,,,,,,
Non-financial Corporate,http://raw.rutgers.edu/Non-Financial%20Corporate%20Data.html,,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,2021-04-20 08:29:36,8.0,5.0,3.0,2018-10-03 16:26:14,2018-12-13 08:04:15,andrey-lukyanov/Risk-Management,inactive,,
Handson Python for Finance,https://github.com/PacktPublishing/Hands-on-Python-for-Finance,Hands-on Python for Finance published by Packt.,Courses,2021-04-24 15:33:44,123.0,111.0,3.0,2018-08-20 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,,
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,,
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,,
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,2021-04-22 21:33:25,342.0,140.0,9.0,2014-06-01 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,2021-04-24 14:02:08,155.0,43.0,4.0,2019-06-02 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,2021-04-24 12:13:48,71.0,10.0,1.0,2017-07-23 02:59:59,2017-07-23 03:10:35,hpnhxxwn/Google-Finance-Stock-Data-Analysis,inactive,3.0,12:49.2
Advanced ML,https://github.com/BlackArbsCEO/Adv_Fin_ML_Exercises,Exercises to book [advances in financial machine learning](https://www.wiley.com/en-us/Advances+in+Financial+Machine+Learning-p-9781119482109). Relevant topics include data cleaning and outlier detection (using MAD),Data Processing Techniques and Transformations,2021-04-24 11:53:43,982.0,437.0,4.0,2018-04-25 17:22:40,2020-01-16 17:25:41,BlackArbsCEO/Adv_Fin_ML_Exercises,active,4.0,
https://stooq.com,https://stooq.com,,Data,,,,,,,,,,
Non-financial Corporate,http://raw.rutgers.edu/Non-Financial%20Corporate%20Data.html,,Data,,,,,,,,,,
http://finance.yahoo.com/,http://finance.yahoo.com/,,Data,,,,,,,,,,
https://fred.stlouisfed.org/,https://fred.stlouisfed.org/,,Data,,,,,,,,,,
Financial Corporate,http://raw.rutgers.edu/Corporate%20Financial%20Data.html,,Data,,,,,,,,,,
Rating Industries,http://www.ratingshistory.info/,,Data,,,,,,,,,,
IRS,http://social-metrics.org/sox/,,Data,,,,,,,,,,
Open Edgar,https://github.com/LexPredict/openedgar,,Data,2021-04-23 14:57:48,172.0,61.0,6.0,2018-05-07 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 19:22:59,11.0,11.0,1.0,2018-06-11 22:51:57,2018-07-10 18:03:52,TiesdeKok/UW_Python_Camp,inactive,,
Employee Count SEC Filings,https://github.com/healthgradient/sec_employee_information_extraction,,Data,2021-04-18 03:25:43,11.0,2.0,1.0,2018-06-26 23:33:51,2018-08-14 01:31:13,healthgradient/sec_employee_information_extraction,inactive,,
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,,
Web Scraping (FirmAI),https://github.com/firmai/business-machine-learning/blob/master/www.firmai.org/data,,Data,2021-04-23 02:45:53,576.0,184.0,2.0,2019-02-19 19:02:59,2020-07-22 16:48:21,firmai/business-machine-learning,active,,
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,2021-04-24 11:53:43,982.0,437.0,4.0,2018-04-25 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,2021-04-18 06:26:11,67.0,21.0,1.0,2017-05-22 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,2021-04-24 14:02:08,155.0,43.0,4.0,2019-06-02 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,2021-04-22 21:33:25,342.0,140.0,9.0,2014-06-01 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,2021-04-24 12:13:48,71.0,10.0,1.0,2017-07-23 02:59:59,2017-07-23 03:10:35,hpnhxxwn/Google-Finance-Stock-Data-Analysis,inactive,3.0,12:49.2
a3c_trading,https://github.com/evgps/a3c_trading,NEW,Deep Learning And Reinforcement Learning,2021-04-18 13:30:27,312.0,98.0,1.0,2018-06-04 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,
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,2021-04-24 03:01:30,297.0,147.0,1.0,2018-08-13 10:44:08,2020-01-23 04:41:20,pskrunner14/trading-bot,active,3.0,3/31/21 8:00
Deep-Reinforcement-Learning-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,2021-04-23 10:13:05,141.0,68.0,1.0,2018-05-11 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,2021-04-22 11:43:00,1270.0,678.0,1.0,2016-06-18 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,2021-04-24 17:20:46,568.0,143.0,1.0,2018-11-26 03:23:04,2021-01-01 09:41:21,cbailes/awesome-deep-trading,active,4.0,3/31/21 8:00
RLQuant,https://github.com/yuriak/RLQuant,NEW,Deep Learning And Reinforcement Learning,2021-04-24 20:03:52,277.0,93.0,1.0,2018-04-05 05:42:44,2018-08-13 04:18:29,yuriak/RLQuant,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,2021-04-23 19:53:11,583.0,260.0,6.0,2020-07-26 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,2021-04-18 09:54:12,210.0,89.0,1.0,2017-05-29 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,2021-04-22 10:39:37,295.0,129.0,3.0,2017-03-10 10:52:02,2018-06-11 08:07:02,PiSimo/BitcoinForecast,inactive,3.0,3/31/21 8:00
pairstrade-fyp-2019,https://github.com/wywongbd/pairstrade-fyp-2019,NEW,Deep Learning And Reinforcement Learning,2021-04-20 13:15:07,110.0,40.0,2.0,2018-09-07 07:51:06,2020-05-13 05:06:51,wywongbd/pairstrade-fyp-2019,active,,39:11.1
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,2021-04-22 15:02:29,352.0,112.0,1.0,2018-06-21 01:06:01,2020-11-05 11:08:19,sadighian/crypto-rl,active,3.0,3/31/21 8:00
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,2021-04-22 07:42:30,134.0,51.0,2.0,2019-02-23 12:01:21,2020-02-25 18:16:34,sachink2010/AutomatedStockTrading-DeepQ-Learning,active,3.0,3/31/21 8:00
Trading-Gym,https://github.com/thedimlebowski/Trading-Gym,NEW,Deep Learning And Reinforcement Learning,2021-04-23 14:39:28,506.0,148.0,3.0,2017-06-13 13:14:48,2017-07-10 08:09:30,thedimlebowski/Trading-Gym,inactive,,39:11.1
FinRL-Library,https://github.com/AI4Finance-LLC/FinRL-Library,started by Columbia university engineering students and designed as an end to end deep reinforcement learning library for automated trading platform. Implementation of DQN DDQN DDPG etc using PyTorch and [gym](https://gym.openai.com/) use [pyfolio](https://github.com/quantopian/pyfolio) for showing backtesting stats. Big contributions on Proximal Policy Optimization (PPO) advantage actor critic (A2C) and Deep Deterministic Policy Gradient (DDPG) agents for trading,Deep Learning And Reinforcement Learning,2021-04-24 15:10:09,1914.0,463.0,22.0,2020-07-26 13:18:16,2021-04-24 04:28:39,AI4Finance-LLC/FinRL,active,5.0,3/31/21 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
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,
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,2021-04-23 08:09:09,140.0,50.0,4.0,2018-09-19 03:17:06,2020-11-26 16:58:00,AI4Finance-LLC/DQN-DDPG_Stock_Trading,active,3.0,3/31/21 8:00
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,2021-04-23 21:05:14,241.0,109.0,1.0,2018-02-25 17:41:42,2020-12-01 22:06:39,golsun/deep-RL-trading,active,3.0,3/31/21 8:00
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,2021-04-23 14:39:32,1146.0,330.0,2.0,2018-03-10 11:22:00,2018-09-02 17:21:38,Ceruleanacg/Personae,inactive,5.0,3/31/21 8:00
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
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
AI Trading,https://github.com/borisbanushev/stockpredictionai/blob/master/readme2.md,AI to predict stock market movements.,Deep Learning And Reinforcement Learning,2021-04-24 16:48:58,2899.0,1398.0,1.0,2019-01-09 08:02:47,2019-02-11 16:32:47,borisbanushev/stockpredictionai,inactive,5.0,
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,
LTSM Recurrent,https://github.com/VivekPa/AIAlpha,OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network.,Deep Learning And Reinforcement Learning,2021-04-24 20:45:01,1214.0,371.0,2.0,2018-10-07 03:58:26,2019-08-03 09:00:44,VivekPa/AIAlpha,active,4.0,
RL III,https://github.com/samre12/deep-trading-agent,Github -Deep Reinforcement Learning based Trading Agent for Bitcoin.,Deep Learning And Reinforcement Learning,2021-04-24 11:11:01,578.0,205.0,1.0,2017-09-21 17:05:19,2018-04-13 16:33:21,samre12/deep-trading-agent,inactive,3.0,
Deep Learning IV,https://github.com/achillesrasquinha/bulbea,Bulbea: Deep Learning based Python Library.,Deep Learning And Reinforcement Learning,2021-04-24 16:05:51,1472.0,416.0,1.0,2017-03-09 06:11:06,2017-03-19 07:42:49,achillesrasquinha/bulbea,inactive,5.0,
Machine-Learning-and-Reinforcement-Learning-in-Finance,https://github.com/joelowj/Machine-Learning-and-Reinforcement-Learning-in-Finance,NEW,Deep Learning And Reinforcement Learning,2021-03-30 09:11:21,175.0,97.0,1.0,2018-06-26 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
Neural Network,https://github.com/VivekPa/IntroNeuralNetworks,Neural networks to predict stock prices.,Deep Learning And Reinforcement Learning,2021-04-22 13:24:30,493.0,176.0,2.0,2018-09-10 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,2021-04-24 12:59:48,1321.0,454.0,15.0,2019-04-27 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,https://github.com/keon/deepstock,Technical experimentations to be
Deep Learning II,https://github.com/LiamConnell/deep-algotrading/tree/master/notebooks,Tensorflow Regression.,Deep Learning And Reinforcement Learning,2021-04-23 14:39:21,175.0,67.0,1.0,2016-07-12 12:56:10,2018-02-16 02:43:36,LiamConnell/deep-algotrading,inactive,3.0,
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,2021-04-25 00:20:19,3726.0,1560.0,2.0,2017-12-18 10:49:59,2021-01-05 10:31:50,huseinzol05/Stock-Prediction-Models,active,5.0,3/31/21 8:00
maro,https://github.com/microsoft/maro,NEW,Deep Learning And Reinforcement Learning,2021-04-24 17:20:46,391.0,68.0,18.0,2019-12-27 06:48:27,2021-04-15 08:27:30,microsoft/maro,active,,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,
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
FinRL,https://github.com/AI4Finance-LLC/FinRL,NEW,Deep Learning And Reinforcement Learning,2021-04-24 15:10:09,1914.0,463.0,22.0,2020-07-26 13:18:16,2021-04-24 04:28:39,AI4Finance-LLC/FinRL,active,,13:03.7
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,2021-04-20 21:08:28,143.0,44.0,2.0,2019-05-19 22:20:05,2020-09-27 19:22:28,Albert-Z-Guo/Deep-Reinforcement-Stock-Trading,active,3.0,3/31/21 8:00
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,2021-04-20 10:40:42,717.0,299.0,1.0,2016-10-04 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,2021-04-24 15:33:48,282.0,102.0,1.0,2018-09-29 23:38:06,2021-04-24 15:33:46,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,2021-04-20 11:58:03,137.0,56.0,1.0,2019-06-09 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,2021-04-22 07:44:43,584.0,195.0,2.0,2016-12-09 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,2021-04-23 14:39:21,1342.0,490.0,3.0,2016-06-11 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,2021-04-19 13:28:06,852.0,239.0,2.0,2017-05-01 13:53:32,2018-02-14 13:58:18,Yvictor/TradingGym,inactive,,39:11.1
tensortrade,https://github.com/tensortrade-org/tensortrade,NEW,Deep Learning And Reinforcement Learning,2021-04-24 23:27:13,3136.0,725.0,39.0,2019-07-30 21:28:32,2021-03-24 16:25:28,tensortrade-org/tensortrade,active,,39:11.1
LTSM Recurrent,https://github.com/VivekPa/AIAlpha,OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network.,Deep Learning And Reinforcement Learning,2021-04-24 20:45:01,1214.0,371.0,2.0,2018-10-07 03:58:26,2019-08-03 09:00:44,VivekPa/AIAlpha,active,4.0,
RL III,https://github.com/samre12/deep-trading-agent,Github -Deep Reinforcement Learning based Trading Agent for Bitcoin.,Deep Learning And Reinforcement Learning,2021-04-24 11:11:01,578.0,205.0,1.0,2017-09-21 17:05:19,2018-04-13 16:33:21,samre12/deep-trading-agent,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,2021-04-24 16:48:58,2899.0,1398.0,1.0,2019-01-09 08:02:47,2019-02-11 16:32:47,borisbanushev/stockpredictionai,inactive,5.0,
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,2021-04-24 20:03:52,277.0,93.0,1.0,2018-04-05 05:42:44,2018-08-13 04:18:29,yuriak/RLQuant,inactive,,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,
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,2021-04-24 03:01:30,297.0,147.0,1.0,2018-08-13 10:44:08,2020-01-23 04:41:20,pskrunner14/trading-bot,active,3.0,3/31/21 8:00
Deep-Reinforcement-Learning-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,2021-04-23 10:13:05,141.0,68.0,1.0,2018-05-11 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,2021-04-22 11:43:00,1270.0,678.0,1.0,2016-06-18 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,2021-04-24 17:20:46,568.0,143.0,1.0,2018-11-26 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,2021-04-23 19:53:11,583.0,260.0,6.0,2020-07-26 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,2021-04-18 09:54:12,210.0,89.0,1.0,2017-05-29 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,2021-04-22 10:39:37,295.0,129.0,3.0,2017-03-10 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,2021-04-18 13:30:27,312.0,98.0,1.0,2018-06-04 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,2021-04-20 13:15:07,110.0,40.0,2.0,2018-09-07 07:51:06,2020-05-13 05:06:51,wywongbd/pairstrade-fyp-2019,active,,39:11.1
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
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,2021-04-22 07:42:30,134.0,51.0,2.0,2019-02-23 12:01:21,2020-02-25 18:16:34,sachink2010/AutomatedStockTrading-DeepQ-Learning,active,3.0,3/31/21 8:00
Trading-Gym,https://github.com/thedimlebowski/Trading-Gym,NEW,Deep Learning And Reinforcement Learning,2021-04-23 14:39:28,506.0,148.0,3.0,2017-06-13 13:14:48,2017-07-10 08:09:30,thedimlebowski/Trading-Gym,inactive,,39:11.1
FinRL-Library,https://github.com/AI4Finance-LLC/FinRL-Library,started by Columbia university engineering students and designed as an end to end deep reinforcement learning library for automated trading platform. Implementation of DQN DDQN DDPG etc using PyTorch and [gym](https://gym.openai.com/) use [pyfolio](https://github.com/quantopian/pyfolio) for showing backtesting stats. Big contributions on Proximal Policy Optimization (PPO) advantage actor critic (A2C) and Deep Deterministic Policy Gradient (DDPG) agents for trading,Deep Learning And Reinforcement Learning,2021-04-24 15:10:09,1914.0,463.0,22.0,2020-07-26 13:18:16,2021-04-24 04:28:39,AI4Finance-LLC/FinRL,active,5.0,3/31/21 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,
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,2021-04-22 15:02:29,352.0,112.0,1.0,2018-06-21 01:06:01,2020-11-05 11:08:19,sadighian/crypto-rl,active,3.0,3/31/21 8:00
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
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,
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,2021-04-23 08:09:09,140.0,50.0,4.0,2018-09-19 03:17:06,2020-11-26 16:58:00,AI4Finance-LLC/DQN-DDPG_Stock_Trading,active,3.0,3/31/21 8:00
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,2021-04-23 21:05:14,241.0,109.0,1.0,2018-02-25 17:41:42,2020-12-01 22:06:39,golsun/deep-RL-trading,active,3.0,3/31/21 8:00
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,2021-04-23 14:39:32,1146.0,330.0,2.0,2018-03-10 11:22:00,2018-09-02 17:21:38,Ceruleanacg/Personae,inactive,5.0,3/31/21 8:00
TradingGym,https://github.com/Yvictor/TradingGym,NEW,Deep Learning And Reinforcement Learning,2021-04-19 13:28:06,852.0,239.0,2.0,2017-05-01 13:53:32,2018-02-14 13:58:18,Yvictor/TradingGym,inactive,,39:11.1
gym-trading,https://github.com/hackthemarket/gym-trading,NEW,Deep Learning And Reinforcement Learning,2021-04-22 07:44:43,584.0,195.0,2.0,2016-12-09 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,2021-04-20 11:58:03,137.0,56.0,1.0,2019-06-09 22:50:37,2020-01-03 15:36:22,wai-i/Pair-Trading-Reinforcement-Learning,active,,39:11.1
RL II,https://github.com/deependersingla/deep_trader,reinforcement learning on stock market and agent tries to learn trading.,Deep Learning And Reinforcement Learning,2021-04-23 14:39:21,1342.0,490.0,3.0,2016-06-11 07:27:10,2018-01-22 14:35:50,deependersingla/deep_trader,inactive,3.0,
RL,https://github.com/kh-kim/stock_market_reinforcement_learning,OpenGym with Deep Q-learning and Policy Gradient.,Deep Learning And Reinforcement Learning,2021-04-20 10:40:42,717.0,299.0,1.0,2016-10-04 14:42:19,2016-12-23 07:34:08,kh-kim/stock_market_reinforcement_learning,inactive,2.0,
RL 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,2021-04-20 21:08:28,143.0,44.0,2.0,2019-05-19 22:20:05,2020-09-27 19:22:28,Albert-Z-Guo/Deep-Reinforcement-Stock-Trading,active,3.0,3/31/21 8:00
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,2021-04-24 15:33:48,282.0,102.0,1.0,2018-09-29 23:38:06,2021-04-24 15:33:46,LastAncientOne/Deep-Learning-Machine-Learning-Stock,active,3.0,3/31/21 8:00
StockSharp,https://github.com/StockSharp/StockSharp,NEW,Derivatives and Hedging,2021-04-24 19:28:46,3958.0,1233.0,17.0,2014-12-08 07:53:44,2021-04-07 10:55:36,StockSharp/StockSharp,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,,
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,,
Derivatives Python,https://github.com/yhilpisch/dawp/tree/master/python36,Derivative analytics with Python.,Derivatives and Hedging,2021-04-24 15:46:34,392.0,301.0,1.0,2015-07-09 12:27:29,2021-02-22 13:29:18,yhilpisch/dawp,active,,
robin_stocks,https://github.com/jmfernandes/robin_stocks,NEW,Derivatives and Hedging,2021-04-24 17:01:50,1034.0,262.0,34.0,2018-02-23 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,2021-04-24 23:07:03,600.0,173.0,12.0,2018-12-14 21:10:40,2021-04-23 21:57:45,goldmansachs/gs-quant,active,,23:51.4
FinancePy,https://github.com/domokane/FinancePy,NEW,Derivatives and Hedging,2021-04-24 22:04:38,450.0,74.0,6.0,2019-10-27 15:04:56,2021-03-11 21:40:14,domokane/FinancePy,active,,23:51.4
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,,
MarketAnalysis,https://github.com/Poseyy/MarketAnalysis,NEW,Derivatives and Hedging,2021-04-20 13:01:40,172.0,78.0,1.0,2019-03-28 19:46:34,2020-08-06 05:15:46,Poseyy/MarketAnalysis,active,,23:51.4
Volatility and Variance Derivatives,https://github.com/yhilpisch/lvvd/tree/master/lvvd,Volatility derivatives analytics.,Derivatives and Hedging,2021-04-21 18:01:17,82.0,78.0,1.0,2016-10-21 04:12:50,2021-02-22 13:32:00,yhilpisch/lvvd,active,,
QLNet,https://github.com/amaggiulli/QLNet,NEW,Derivatives and Hedging,2021-04-22 16:05:49,260.0,134.0,13.0,2013-08-22 14:51:43,2021-03-02 18:39:41,amaggiulli/QLNet,active,,23:51.4
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,,
Options_Data_Science,https://github.com/yugedata/Options_Data_Science,NEW,Derivatives and Hedging,2021-04-22 19:21:54,237.0,39.0,1.0,2020-12-09 04:51:20,2021-04-22 19:21:51,yugedata/Options_Data_Science,active,,23:51.4
Strata,https://github.com/OpenGamma/Strata,NEW,Derivatives and Hedging,2021-04-23 14:39:12,612.0,219.0,42.0,2014-06-16 11:45:55,2021-04-22 15:59:12,OpenGamma/Strata,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 12:14:41,336.0,167.0,36.0,2017-07-28 15:48:29,2021-03-17 17:17:08,QuantConnect/Tutorials,active,,
openAlgo,https://github.com/mtompkins/openAlgo,NEW,Derivatives and Hedging,2021-04-23 13:20:12,161.0,82.0,2.0,2013-05-28 14:46:53,2017-03-24 20:00:24,mtompkins/openAlgo,inactive,,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,,,
wallstreet,https://github.com/mcdallas/wallstreet,NEW,Derivatives and Hedging,2021-04-24 17:41:47,578.0,126.0,2.0,2016-01-20 22:03:39,2019-08-09 23:14:52,mcdallas/wallstreet,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,,
trade-frame,https://github.com/rburkholder/trade-frame,NEW,Derivatives and Hedging,2021-04-24 09:22:43,192.0,79.0,1.0,2016-07-24 15:25:30,2020-11-09 01:16:46,rburkholder/trade-frame,active,,23:51.4
Options-Trading-Strategies-in-Python,https://github.com/PyPatel/Options-Trading-Strategies-in-Python,NEW,Derivatives and Hedging,2021-04-19 16:55:34,320.0,134.0,1.0,2017-08-30 06:00:15,2019-08-21 15:47:57,PyPatel/Options-Trading-Strategies-in-Python,active,,23:51.4
quant-trading,https://github.com/je-suis-tm/quant-trading,NEW,Derivatives and Hedging,2021-04-24 22:59:18,1811.0,485.0,2.0,2018-04-03 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,2021-04-24 01:31:15,146.0,77.0,2.0,2020-01-14 07:21:39,2021-04-15 07:10:04,hbdmapi/huobi_futures_Python,active,,23:51.4
paperbroker,https://github.com/philipodonnell/paperbroker,NEW,Derivatives and Hedging,2021-04-17 02:37:05,176.0,49.0,3.0,2017-07-06 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,2021-04-24 21:13:16,397.0,90.0,3.0,2017-09-17 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,,
tda-api,https://github.com/alexgolec/tda-api,NEW,Derivatives and Hedging,2021-04-24 02:59:38,660.0,165.0,13.0,2020-04-03 21:19:12,2021-04-15 03:16:56,alexgolec/tda-api,active,,23:51.4
akshare,https://github.com/jindaxiang/akshare,NEW,Derivatives and Hedging,2021-04-24 22:56:14,3425.0,692.0,11.0,2019-10-01 07:34:12,2021-04-24 14:32:16,jindaxiang/akshare,active,,23:51.4
huobi_futures_Python,https://github.com/hbdmapi/huobi_futures_Python,NEW,Derivatives and Hedging,2021-04-24 01:31:15,146.0,77.0,2.0,2020-01-14 07:21:39,2021-04-15 07:10:04,hbdmapi/huobi_futures_Python,active,,23:51.4
tai,https://github.com/fremantle-industries/tai,NEW,Derivatives and Hedging,2021-04-24 15:08:47,275.0,46.0,6.0,2017-07-28 03:07:18,2021-04-24 06:49:09,fremantle-industries/tai,active,,23:51.4
FinanceDatabase,https://github.com/JerBouma/FinanceDatabase,NEW,Derivatives and Hedging,2021-04-24 20:56:25,620.0,71.0,1.0,2021-01-28 18:36:09,2021-04-20 14:43:09,JerBouma/FinanceDatabase,active,,23:51.4
AlgorithmicTrading,https://github.com/JerBouma/AlgorithmicTrading,NEW,Derivatives and Hedging,2021-04-18 12:28:18,173.0,54.0,1.0,2019-03-14 09:33:37,2021-02-03 22:29:07,JerBouma/AlgorithmicTrading,active,,23:51.4
@@ -173,171 +193,134 @@ trading-server,https://github.com/s-brez/trading-server,NEW,Derivatives and Hedg
tf-quant-finance,https://github.com/google/tf-quant-finance,NEW,Derivatives and Hedging,2021-04-24 20:45:01,2582.0,336.0,28.0,2019-07-24 16:09:50,2021-04-23 15:50:58,google/tf-quant-finance,active,,23:51.4
algotrader,https://github.com/torreyleonard/algotrader,NEW,Derivatives and Hedging,2021-04-22 08:31:22,477.0,103.0,12.0,2018-04-10 02:31:26,2020-08-27 08:16:44,torreyleonard/algotrader,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,,
akshare,https://github.com/jindaxiang/akshare,NEW,Derivatives and Hedging,2021-04-24 22:56:14,3425.0,692.0,11.0,2019-10-01 07:34:12,2021-04-24 14:32:16,jindaxiang/akshare,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,,
wallstreet,https://github.com/mcdallas/wallstreet,NEW,Derivatives and Hedging,2021-04-24 17:41:47,578.0,126.0,2.0,2016-01-20 22:03:39,2019-08-09 23:14:52,mcdallas/wallstreet,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,,
openAlgo,https://github.com/mtompkins/openAlgo,NEW,Derivatives and Hedging,2021-04-23 13:20:12,161.0,82.0,2.0,2013-05-28 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,2021-04-23 14:39:12,612.0,219.0,42.0,2014-06-16 11:45:55,2021-04-22 15:59:12,OpenGamma/Strata,active,,23:51.4
StockSharp,https://github.com/StockSharp/StockSharp,NEW,Derivatives and Hedging,2021-04-24 19:28:46,3958.0,1233.0,17.0,2014-12-08 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,,
Derivatives Python,https://github.com/yhilpisch/dawp/tree/master/python36,Derivative analytics with Python.,Derivatives and Hedging,2021-04-24 15:46:34,392.0,301.0,1.0,2015-07-09 12:27:29,2021-02-22 13:29:18,yhilpisch/dawp,active,,
robin_stocks,https://github.com/jmfernandes/robin_stocks,NEW,Derivatives and Hedging,2021-04-24 17:01:50,1034.0,262.0,34.0,2018-02-23 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,2021-04-24 23:07:03,600.0,173.0,12.0,2018-12-14 21:10:40,2021-04-23 21:57:45,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,,
FinancePy,https://github.com/domokane/FinancePy,NEW,Derivatives and Hedging,2021-04-24 22:04:38,450.0,74.0,6.0,2019-10-27 15:04:56,2021-03-11 21:40:14,domokane/FinancePy,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 12:14:41,336.0,167.0,36.0,2017-07-28 15:48:29,2021-03-17 17:17:08,QuantConnect/Tutorials,active,,
MarketAnalysis,https://github.com/Poseyy/MarketAnalysis,NEW,Derivatives and Hedging,2021-04-20 13:01:40,172.0,78.0,1.0,2019-03-28 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,2021-04-21 18:01:17,82.0,78.0,1.0,2016-10-21 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,,
Options_Data_Science,https://github.com/yugedata/Options_Data_Science,NEW,Derivatives and Hedging,2021-04-22 19:21:54,237.0,39.0,1.0,2020-12-09 04:51:20,2021-04-22 19:21:51,yugedata/Options_Data_Science,active,,23:51.4
QLNet,https://github.com/amaggiulli/QLNet,NEW,Derivatives and Hedging,2021-04-22 16:05:49,260.0,134.0,13.0,2013-08-22 14:51:43,2021-03-02 18:39:41,amaggiulli/QLNet,active,,23:51.4
finmath-lib,https://github.com/finmath/finmath-lib,NEW,Extended Research,2021-04-23 14:39:09,308.0,125.0,16.0,2013-03-17 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,2021-04-22 22:08:21,103.0,30.0,2.0,2018-09-01 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
StockPredictionRNN,https://github.com/dzitkowskik/StockPredictionRNN,NEW,Extended Research,2021-04-23 00:44:55,489.0,213.0,2.0,2015-11-26 19:00:35,2016-05-21 15:51:22,dzitkowskik/StockPredictionRNN,inactive,,2021-04-21 01:25:51.827641
MIDAS,https://github.com/Stream-AD/MIDAS,NEW,Extended Research,2021-04-23 20:43:27,602.0,71.0,3.0,2019-10-23 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
Trading-Bot,https://github.com/RaidasGrisk/Trading-Bot,NEW,Extended Research,2021-04-24 17:38:27,73.0,29.0,1.0,2017-11-27 21:20:40,2018-01-22 21:00:57,RaidasGrisk/Trading-Bot,inactive,,2021-04-21 01:25:51.827641
math-php,https://github.com/markrogoyski/math-php,NEW,Extended Research,2021-04-22 11:45:36,1885.0,200.0,17.0,2016-04-03 17:57:14,2020-12-19 19:41:05,markrogoyski/math-php,active,,2021-04-21 01:25:51.827641
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
ReactiveTraderCloud,https://github.com/AdaptiveConsulting/ReactiveTraderCloud,NEW,Extended Research,2021-04-23 20:34:39,1567.0,497.0,81.0,2015-11-13 19:24:11,2021-04-23 15:07:13,AdaptiveConsulting/ReactiveTraderCloud,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
fraud-detection-demo,https://github.com/afedulov/fraud-detection-demo,NEW,Extended Research,2021-04-23 19:17:35,158.0,67.0,2.0,2019-11-04 09:23:17,2021-01-05 19:28:04,afedulov/fraud-detection-demo,active,,2021-04-21 01:25:51.827641
FX-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,2021-04-24 19:38:23,13226.0,1608.0,66.0,2015-02-11 08:49:54,2021-04-22 23:07:02,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 11:13:10,188.0,30.0,1.0,2014-05-02 00:19:01,2016-11-16 05:57:09,daleroberts/math-finance-cheat-sheet,inactive,,2021-04-21 01:25:51.827641
kafka-fraud-detector,https://github.com/florimondmanca/kafka-fraud-detector,NEW,Extended Research,2021-04-23 11:08:55,60.0,44.0,3.0,2018-09-13 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,2021-04-24 01:42:33,361.0,65.0,2.0,2019-11-21 05:39:23,2021-04-24 01:42:30,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
talkingdata-adtracking-fraud-detection,https://github.com/flowlight0/talkingdata-adtracking-fraud-detection,NEW,Extended Research,2021-04-22 06:10:23,203.0,54.0,1.0,2018-03-21 11:27:31,2018-06-10 15:30:50,flowlight0/talkingdata-adtracking-fraud-detection,inactive,,2021-04-21 01:25:51.827641
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,2021-04-23 23:59:07,121.0,91.0,2.0,2017-04-27 01:48:35,2018-01-31 21:17:26,georgymh/ml-fraud-detection,inactive,,2021-04-21 01:25:51.827641
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
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
Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras,https://github.com/curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras,NEW,Extended Research,2021-04-24 00:05:38,341.0,238.0,1.0,2017-06-09 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
Krypto-trading-bot,https://github.com/ctubio/Krypto-trading-bot,NEW,Extended Research,2021-04-24 18:06:27,2171.0,593.0,49.0,2017-06-13 20:15:54,2021-04-22 12:34:22,ctubio/Krypto-trading-bot,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
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
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,2021-04-24 00:11:56,91.0,58.0,5.0,2019-05-17 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,2021-04-22 02:38:44,129.0,32.0,1.0,2017-09-29 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,2021-04-24 12:44:43,1832.0,546.0,2.0,2014-05-18 19:20:13,2019-06-21 14:58:07,jamesmawm/High-Frequency-Trading-Model-with-IB,active,,2021-04-21 01:25:51.827641
InteractiveBrokers-Algo-System,https://github.com/rediar/InteractiveBrokers-Algo-System,NEW,Extended Research,2021-04-22 05:54:16,152.0,64.0,1.0,2018-01-21 03:09:41,2018-10-25 02:56:15,rediar/InteractiveBrokers-Algo-System,inactive,,2021-04-21 01:25:51.827641
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,2021-04-24 20:31:22,113.0,35.0,2.0,2020-07-05 07:59:38,2021-04-21 17:31:51,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
exchange-core,https://github.com/mzheravin/exchange-core,NEW,Extended Research,2021-04-24 09:41:48,852.0,396.0,6.0,2018-08-05 18:25:16,2020-11-20 15:31:05,mzheravin/exchange-core,active,,2021-04-21 01:25:51.827641
TradingStrategies,https://github.com/SoftAlgoTrade/TradingStrategies,NEW,Extended Research,2021-04-21 14:58:57,118.0,55.0,1.0,2017-05-22 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,2021-04-23 14:59:19,289.0,76.0,3.0,2018-07-10 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,2021-04-24 00:46:21,245.0,62.0,2.0,2020-03-30 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,2021-04-22 15:25:17,143.0,45.0,1.0,2018-03-05 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,2021-04-24 21:46:48,160.0,31.0,2.0,2018-05-23 14:22:25,2018-10-17 08:06:21,carlos8f/bot18,inactive,,2021-04-21 01:25:51.827641
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
gym-fx,https://github.com/harveybc/gym-fx,NEW,Extended Research,2021-04-23 14:39:24,153.0,40.0,1.0,2017-02-21 21:04:09,2020-06-03 21:03:14,harveybc/gym-fx,active,,2021-04-21 01:25:51.827641
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
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,,
hummingbot_chinese,https://github.com/CoinAlpha/hummingbot_chinese,NEW,Extended Research,2021-04-24 13:35:35,126.0,20.0,4.0,2019-06-05 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
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
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,2021-04-23 21:18:25,371.0,164.0,3.0,2019-01-25 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,2021-04-23 19:56:10,463.0,150.0,31.0,2013-12-26 10:22:00,2021-04-23 18:59:12,OpenHFT/OpenHFT,active,,2021-04-21 01:25:51.827641
hft,https://github.com/nickhuangxinyu/hft,NEW,Extended Research,2021-04-22 09:42:47,145.0,69.0,2.0,2019-03-12 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,2021-04-23 06:05:11,422.0,140.0,4.0,2017-07-26 08:42:19,2018-08-24 13:35:39,Crypto-toolbox/HFT-Orderbook,inactive,,2021-04-21 01:25:51.827641
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
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
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
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,https://github.com/rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy,High frequency trading.,Extended Research,2021-04-24 16:04:07,759.0,334.0,1.0,2016-07-21 05:14:14,2017-02-14 16:47:25,rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy,inactive,,
HFT_Bitcoin,https://github.com/ghgr/HFT_Bitcoin,NEW,Extended Research,2021-04-18 10:57:05,72.0,23.0,1.0,2017-07-27 07:11:48,2017-08-21 14:50:35,ghgr/HFT_Bitcoin,inactive,,2021-04-21 01:25:51.827641
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
awesome-fraud-detection-papers,https://github.com/benedekrozemberczki/awesome-fraud-detection-papers,NEW,Extended Research,2021-04-22 13:22:31,857.0,183.0,4.0,2019-05-27 10:23:22,2021-04-03 10:45:01,benedekrozemberczki/awesome-fraud-detection-papers,active,,2021-04-21 01:25:51.827641
448Project,https://github.com/HujiaYuYoyo/448Project,NEW,Extended Research,2021-04-23 14:39:33,66.0,44.0,4.0,2018-04-14 21:19:21,2018-06-10 09:29:37,HujiaYuYoyo/448Project,inactive,,2021-04-21 01:25:51.827641
tribeca,https://github.com/michaelgrosner/tribeca,NEW,Extended Research,2021-04-24 20:04:28,3485.0,890.0,22.0,2015-07-07 18:40:45,2018-02-26 18:01:13,michaelgrosner/tribeca,inactive,,2021-04-21 01:25:51.827641
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
448Project,https://github.com/HujiaYuYoyo/448Project,NEW,Extended Research,2021-04-23 14:39:33,66.0,44.0,4.0,2018-04-14 21:19:21,2018-06-10 09:29:37,HujiaYuYoyo/448Project,inactive,,2021-04-21 01:25:51.827641
kungfu,https://github.com/kungfu-origin/kungfu,NEW,Extended Research,2021-04-23 14:39:30,2328.0,855.0,7.0,2017-11-15 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
awesome-fraud-detection-papers,https://github.com/benedekrozemberczki/awesome-fraud-detection-papers,NEW,Extended Research,2021-04-22 13:22:31,857.0,183.0,4.0,2019-05-27 10:23:22,2021-04-03 10:45:01,benedekrozemberczki/awesome-fraud-detection-papers,active,,2021-04-21 01:25:51.827641
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
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
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
HFT-Orderbook,https://github.com/Crypto-toolbox/HFT-Orderbook,NEW,Extended Research,2021-04-23 06:05:11,422.0,140.0,4.0,2017-07-26 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,2021-04-22 09:42:47,145.0,69.0,2.0,2019-03-12 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,2021-04-23 19:56:10,463.0,150.0,31.0,2013-12-26 10:22:00,2021-04-23 18:59:12,OpenHFT/OpenHFT,active,,2021-04-21 01:25:51.827641
example-hftish,https://github.com/alpacahq/example-hftish,NEW,Extended Research,2021-04-23 21:18:25,371.0,164.0,3.0,2019-01-25 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
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,,
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,2021-04-24 13:35:35,126.0,20.0,4.0,2019-06-05 22:53:04,2021-01-16 01:36:15,CoinAlpha/hummingbot_chinese,active,,2021-04-21 01:25:51.827641
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
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,,
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,,
Corporate Finance,https://github.com/SeanMcOwen/FinanceAndPython.com-CorporateFinance,Basic corporate finance.,Extended Research,2021-01-16 19:01:31,9.0,5.0,1.0,2017-09-09 03:35:24,2017-09-09 23:04:48,SeanMcOwen/FinanceAndPython.com-CorporateFinance,inactive,,
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,2021-04-24 15:17:48,668.0,432.0,9.0,2017-01-21 11:24:18,2020-08-01 17:03:32,Auquan/Tutorials,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,,
Liquidity and Momentum,https://github.com/mrefermat/quant_finance,Various factors and portfolio constructions.,Extended Research,2021-04-20 13:01:20,30.0,17.0,1.0,2018-08-11 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,2021-04-22 15:17:35,59.0,21.0,1.0,2020-12-21 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,,
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,,
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,2021-04-19 09:15:38,11.0,3.0,1.0,2019-01-22 10:59:50,2019-03-12 18:35:02,ryanholbrook/critical-transitions,inactive,,
Bayesian Finance,https://github.com/marketneutral/alphatools/blob/master/notebooks/pymc3-minimal.ipynb,Notebook PyMC3 implementation.,Extended Research,2021-04-24 06:26:36,236.0,56.0,1.0,2018-08-28 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,2021-04-22 18:40:48,714.0,278.0,2.0,2014-11-09 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,2021-04-23 04:59:49,628.0,167.0,3.0,2018-09-16 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,,
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,,
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,,
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,,
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,,
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
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,2021-04-24 19:50:03,3709.0,1168.0,42.0,2015-06-01 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,,
Factor Analysis,https://github.com/alpha-miner/alpha-mind/tree/master/notebooks,Factor strategy notebooks.,Factor and Risk Analysis,2021-04-23 14:39:27,173.0,60.0,3.0,2017-05-01 07:36:54,2021-04-07 15:25:27,alpha-miner/alpha-mind,active,,
Risk and Return,https://github.com/PyDataBlog/Python-for-Data-Science/tree/master/Tutorials,Riskiness of portfolios and assets.,Factor and Risk Analysis,2021-04-22 12:51:46,143.0,61.0,2.0,2017-09-12 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
-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
AlphaTrading,https://github.com/jerryxyx/AlphaTrading,NEW,Factor and Risk Analysis,2021-04-14 15:16:22,150.0,76.0,1.0,2018-05-18 22:09:52,2018-08-07 18:05:37,jerryxyx/AlphaTrading,inactive,,37:06.3
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,,
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,,
Performance Analysis,https://github.com/quantopian/alphalens,Performance analysis of predictive (alpha) stock factors.,Factor and Risk Analysis,2021-04-24 09:38:45,1871.0,707.0,17.0,2016-06-03 21:49:15,2020-04-27 18:40:41,quantopian/alphalens,active,,
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,,
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,,
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,,
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,2021-04-23 04:59:49,628.0,167.0,3.0,2018-09-16 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,2021-04-22 18:40:48,714.0,278.0,2.0,2014-11-09 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,2021-04-24 06:26:36,236.0,56.0,1.0,2018-08-28 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,2021-04-19 09:15:38,11.0,3.0,1.0,2019-01-22 10:59:50,2019-03-12 18:35:02,ryanholbrook/critical-transitions,inactive,,
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,,
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,,
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,2021-04-22 15:17:35,59.0,21.0,1.0,2020-12-21 00:14:25,2021-01-07 19:52:54,michael-fourie/freqtrade_bot,active,,2021-04-21 01:25:51.827641
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,,
Mathematical Finance,https://github.com/Auquan/Tutorials,Notebooks for math and financial tutorials.,Extended Research,2021-04-24 15:17:48,668.0,432.0,9.0,2017-01-21 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 19:01:31,9.0,5.0,1.0,2017-09-09 03:35:24,2017-09-09 23:04:48,SeanMcOwen/FinanceAndPython.com-CorporateFinance,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,,
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
finmath-lib,https://github.com/finmath/finmath-lib,NEW,Extended Research,2021-04-23 14:39:09,308.0,125.0,16.0,2013-03-17 10:00:22,2021-03-13 21:37:31,finmath/finmath-lib,active,,2021-04-21 01:25:51.827641
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
ml-fraud-detection,https://github.com/georgymh/ml-fraud-detection,NEW,Extended Research,2021-04-23 23:59:07,121.0,91.0,2.0,2017-04-27 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
talkingdata-adtracking-fraud-detection,https://github.com/flowlight0/talkingdata-adtracking-fraud-detection,NEW,Extended Research,2021-04-22 06:10:23,203.0,54.0,1.0,2018-03-21 11:27:31,2018-06-10 15:30:50,flowlight0/talkingdata-adtracking-fraud-detection,inactive,,2021-04-21 01:25:51.827641
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,2021-04-24 01:42:33,361.0,65.0,2.0,2019-11-21 05:39:23,2021-04-24 01:42:30,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,2021-04-23 11:08:55,60.0,44.0,3.0,2018-09-13 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 11:13:10,188.0,30.0,1.0,2014-05-02 00:19:01,2016-11-16 05:57:09,daleroberts/math-finance-cheat-sheet,inactive,,2021-04-21 01:25:51.827641
fingerprintjs,https://github.com/fingerprintjs/fingerprintjs,NEW,Extended Research,2021-04-24 19:38:23,13226.0,1608.0,66.0,2015-02-11 08:49:54,2021-04-22 23:07:02,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
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
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
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
math-php,https://github.com/markrogoyski/math-php,NEW,Extended Research,2021-04-22 11:45:36,1885.0,200.0,17.0,2016-04-03 17:57:14,2020-12-19 19:41:05,markrogoyski/math-php,active,,2021-04-21 01:25:51.827641
Trading-Bot,https://github.com/RaidasGrisk/Trading-Bot,NEW,Extended Research,2021-04-24 17:38:27,73.0,29.0,1.0,2017-11-27 21:20:40,2018-01-22 21:00:57,RaidasGrisk/Trading-Bot,inactive,,2021-04-21 01:25:51.827641
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,2021-04-23 20:43:27,602.0,71.0,3.0,2019-10-23 03:50:50,2021-04-11 02:23:01,Stream-AD/MIDAS,active,,2021-04-21 01:25:51.827641
StockPredictionRNN,https://github.com/dzitkowskik/StockPredictionRNN,NEW,Extended Research,2021-04-23 00:44:55,489.0,213.0,2.0,2015-11-26 19:00:35,2016-05-21 15:51:22,dzitkowskik/StockPredictionRNN,inactive,,2021-04-21 01:25:51.827641
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,2021-04-22 22:08:21,103.0,30.0,2.0,2018-09-01 17:43:37,2019-11-22 12:50:30,srbrettle/Financial-Formulas-Library-.NET-Standard,active,,2021-04-21 01:25:51.827641
gym-fx,https://github.com/harveybc/gym-fx,NEW,Extended Research,2021-04-23 14:39:24,153.0,40.0,1.0,2017-02-21 21:04:09,2020-06-03 21:03:14,harveybc/gym-fx,active,,2021-04-21 01:25:51.827641
ReactiveTraderCloud,https://github.com/AdaptiveConsulting/ReactiveTraderCloud,NEW,Extended Research,2021-04-23 20:34:39,1567.0,497.0,81.0,2015-11-13 19:24:11,2021-04-23 15:07:13,AdaptiveConsulting/ReactiveTraderCloud,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
fraud-detection-demo,https://github.com/afedulov/fraud-detection-demo,NEW,Extended Research,2021-04-23 19:17:35,158.0,67.0,2.0,2019-11-04 09:23:17,2021-01-05 19:28:04,afedulov/fraud-detection-demo,active,,2021-04-21 01:25:51.827641
Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras,https://github.com/curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras,NEW,Extended Research,2021-04-24 00:05:38,341.0,238.0,1.0,2017-06-09 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
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
roq-api,https://github.com/roq-trading/roq-api,NEW,Extended Research,2021-04-22 15:25:17,143.0,45.0,1.0,2018-03-05 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,2021-04-24 00:46:21,245.0,62.0,2.0,2020-03-30 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,2021-04-23 14:59:19,289.0,76.0,3.0,2018-07-10 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,2021-04-21 14:58:57,118.0,55.0,1.0,2017-05-22 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,2021-04-24 09:41:48,852.0,396.0,6.0,2018-08-05 18:25:16,2020-11-20 15:31:05,mzheravin/exchange-core,active,,2021-04-21 01:25:51.827641
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,2021-04-24 20:31:22,113.0,35.0,2.0,2020-07-05 07:59:38,2021-04-21 17:31:51,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,2021-04-22 05:54:16,152.0,64.0,1.0,2018-01-21 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,2021-04-24 12:44:43,1832.0,546.0,2.0,2014-05-18 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
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
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,2021-04-22 02:38:44,129.0,32.0,1.0,2017-09-29 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,2021-04-24 00:11:56,91.0,58.0,5.0,2019-05-17 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
bot18,https://github.com/carlos8f/bot18,NEW,Extended Research,2021-04-24 21:46:48,160.0,31.0,2.0,2018-05-23 14:22:25,2018-10-17 08:06:21,carlos8f/bot18,inactive,,2021-04-21 01:25:51.827641
Krypto-trading-bot,https://github.com/ctubio/Krypto-trading-bot,NEW,Extended Research,2021-04-24 18:06:27,2171.0,593.0,49.0,2017-06-13 20:15:54,2021-04-22 12:34:22,ctubio/Krypto-trading-bot,active,,2021-04-21 01:25:51.827641
Stock-Prediction,https://github.com/Ronak-59/Stock-Prediction,NEW,Factor and Risk Analysis,2021-04-24 09:06:28,130.0,65.0,2.0,2018-03-18 04:54:45,2020-02-28 11:43:07,Ronak-59/Stock-Prediction,active,,37:06.3
Machine_learning_In_Finance,https://github.com/chaudharigauravi/Machine_learning_In_Finance,NEW,Factor and Risk Analysis,2020-11-27 19:23:33,8.0,3.0,1.0,2019-08-03 04:04:51,2019-08-03 04:05:32,chaudharigauravi/Machine_learning_In_Finance,active,,23:57.7
Quant Finance,https://github.com/mrefermat/quant_finance,General quant repository.,Factor and Risk Analysis,2021-04-20 13:01:20,30.0,17.0,1.0,2018-08-11 22:59:53,2019-11-12 04:49:01,mrefermat/quant_finance,active,,
Statistical Finance,https://github.com/mrefermat/FinancePhD/tree/master/FinancialExperiments,Various financial experiments.,Factor and Risk Analysis,2021-03-30 00:09:28,21.0,17.0,1.0,2015-10-04 09:10:54,2020-03-28 18:33:58,mrefermat/FinancePhD,active,,
Python for Finance,https://github.com/yhilpisch/py4fi/tree/master/jupyter36,Various financial notebooks.,Factor and Risk Analysis,2021-04-22 18:43:53,1298.0,795.0,1.0,2014-12-15 11:23:34,2018-07-10 06:38:12,yhilpisch/py4fi,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,,
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,,
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,,
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,,
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
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,,
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
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
Vasicek,https://github.com/RobinsonGarcia/fixed-income/blob/master/2.0%20Vasicek%20-%20example.ipynb,Bootstrapping and interpolation.,Fixed Income,2020-12-10 21:20:03,3.0,3.0,1.0,2018-07-18 19:26:54,2018-07-18 19:34:48,RobinsonGarcia/fixed-income,inactive,,
Binomial Tree,https://github.com/hy-lei/math-finance-exercise,Utility functions in fixed income securities.,Fixed Income,2020-10-06 20:55:18,1.0,2.0,1.0,2019-02-02 08:44:14,2019-05-03 17:16:52,hy-lei/math-finance-toolbox,active,,
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,,
Python for Finance,https://github.com/yhilpisch/py4fi/tree/master/jupyter36,Various financial notebooks.,Factor and Risk Analysis,2021-04-22 18:43:53,1298.0,795.0,1.0,2014-12-15 11:23:34,2018-07-10 06:38:12,yhilpisch/py4fi,inactive,,
Performance Analysis,https://github.com/quantopian/alphalens,Performance analysis of predictive (alpha) stock factors.,Factor and Risk Analysis,2021-04-24 09:38:45,1871.0,707.0,17.0,2016-06-03 21:49:15,2020-04-27 18:40:41,quantopian/alphalens,active,,
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
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,,
AlphaTrading,https://github.com/jerryxyx/AlphaTrading,NEW,Factor and Risk Analysis,2021-04-14 15:16:22,150.0,76.0,1.0,2018-05-18 22:09:52,2018-08-07 18:05:37,jerryxyx/AlphaTrading,inactive,,37:06.3
-L-,https://github.com/jettbrains/-L-,NEW,Factor and Risk Analysis,2021-03-15 03:05:00,6.0,16.0,1.0,2019-10-28 21:50:26,2019-10-28 21:51:19,jettbrains/-L-,active,,23:57.7
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,2021-04-22 12:51:46,143.0,61.0,2.0,2017-09-12 13:35:09,2020-08-06 12:35:44,PyDataBlog/Python-for-Data-Science,active,,
Factor Analysis,https://github.com/alpha-miner/alpha-mind/tree/master/notebooks,Factor strategy notebooks.,Factor and Risk Analysis,2021-04-23 14:39:27,173.0,60.0,3.0,2017-05-01 07:36:54,2021-04-07 15:25:27,alpha-miner/alpha-mind,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,,
Pyfolio,https://github.com/quantopian/pyfolio,Portfolio and risk analytics in Python.,Factor and Risk Analysis,2021-04-24 19:50:03,3709.0,1168.0,42.0,2015-06-01 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
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,,
woe,https://github.com/boredbird/woe,NEW,Fixed Income,2021-04-23 09:58:58,226.0,96.0,1.0,2017-09-11 07:15:04,2018-03-01 10:45:40,boredbird/woe,inactive,,24:33.4
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,2021-04-23 21:58:44,1196.0,225.0,6.0,2020-08-30 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,2021-04-23 21:47:05,942.0,350.0,2.0,2017-02-12 04:50:44,2021-02-04 03:48:33,robertmartin8/MachineLearningStocks,active,3.0,
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,2021-04-24 20:05:27,349.0,188.0,1.0,2019-10-10 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,2021-04-23 21:56:53,2170.0,685.0,1.0,2016-09-12 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,2021-04-24 04:45:17,225.0,45.0,2.0,2017-06-18 19:57:17,2021-03-14 22:22:00,miro-ka/mosquito,active,3.0,39:24.6
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,2021-04-24 23:39:19,606.0,390.0,2.0,2019-05-07 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,2021-04-24 18:01:53,185.0,122.0,4.0,2018-03-15 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,2021-04-24 03:07:04,283.0,131.0,4.0,2019-11-15 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,2021-04-24 17:00:55,257.0,112.0,3.0,2019-09-27 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 20:51:51,461.0,55.0,1.0,2016-03-11 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,2021-04-24 22:00:03,2318.0,717.0,3.0,2019-02-13 16:57:25,2021-04-22 21:04:01,hudson-and-thames/mlfinlab,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 19:44:01,31.0,32.0,1.0,2017-03-20 18:54:24,2017-04-25 23:35:20,BlackArbsCEO/Mixture_Models,inactive,2.0,
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,2021-04-19 09:36:22,581.0,132.0,3.0,2016-02-14 00:47:32,2021-02-08 21:35:40,ScottfreeLLC/AlphaPy,active,4.0,39:24.6
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,2021-04-23 16:21:01,1167.0,102.0,8.0,2018-08-20 03:13:31,2019-05-23 14:40:50,kkyon/botflow,active,2.0,39:24.6
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,2021-04-24 22:38:25,102.0,31.0,2.0,2017-09-03 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,,
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
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,,
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
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
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,2021-04-23 12:23:58,388.0,128.0,1.0,2018-07-22 08:14:46,2021-02-17 14:39:30,Hvass-Labs/FinanceOps,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 08:59:43,261.0,102.0,1.0,2017-08-30 06:14:59,2019-10-29 08:14:39,PyPatel/Machine-Learning-and-AI-in-Trading,active,2.0,39:24.6
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,2021-04-18 11:13:46,206.0,120.0,1.0,2017-07-11 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,2021-04-21 11:37:29,238.0,94.0,1.0,2017-01-17 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,2021-04-24 20:51:53,167.0,74.0,1.0,2017-12-11 17:05:38,2020-05-13 23:50:47,BlackArbsCEO/mixture_model_trading_public,active,3.0,
Awesome-Quant-Machine-Learning-Trading,https://github.com/grananqvist/Awesome-Quant-Machine-Learning-Trading,curated list of books/online courses/youtube videos/blogs/interviews/papers/code etc. Updates are pretty infrequent,Other Models,2021-04-24 20:57:05,1016.0,327.0,3.0,2018-11-05 21:09:06,2020-10-08 16:48:18,grananqvist/Awesome-Quant-Machine-Learning-Trading,active,5.0,39:24.6
@@ -348,47 +331,64 @@ Machine-Learning-for-Algorithmic-Trading-Bots-with-Python,https://github.com/Pac
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,2021-04-24 23:11:15,182.0,68.0,9.0,2019-12-29 05:18:07,2021-04-24 23:11:13,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,2021-04-19 23:36:31,284.0,118.0,1.0,2018-06-29 21:21:17,2019-02-18 12:34:54,jjakimoto/finance_ml,inactive,1.0,39:24.6
Pattern-Recognition-for-Forex-Trading,https://github.com/PythonProgramming/Pattern-Recognition-for-Forex-Trading,repo for article [pattern recognization for forex trading](https://pythonprogramming.net/machine-learning-pattern-recognition-algorithmic-forex-stock-trading/) not very scalable and not maintained,Other Models,2021-04-19 08:06:26,175.0,92.0,1.0,2015-03-26 02:22:03,2015-03-26 02:33:51,PythonProgramming/Pattern-Recognition-for-Forex-Trading,inactive,1.0,39:24.6
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,2021-04-24 22:38:25,102.0,31.0,2.0,2017-09-03 17:43:03,2018-09-12 18:58:38,amicks/Speculator,inactive,3.0,39:24.6
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,2021-04-23 16:21:01,1167.0,102.0,8.0,2018-08-20 03:13:31,2019-05-23 14:40:50,kkyon/botflow,active,2.0,39:24.6
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,2021-04-18 11:13:46,206.0,120.0,1.0,2017-07-11 09:09:15,2018-02-21 05:36:35,anthonyng2/Machine-Learning-For-Finance,inactive,2.0,39:24.6
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 19:44:01,31.0,32.0,1.0,2017-03-20 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,2021-04-23 21:58:44,1196.0,225.0,6.0,2020-08-30 07:56:22,2020-09-21 04:32:05,tradytics/surpriver,active,3.0,39:24.6
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,2021-04-19 09:36:22,581.0,132.0,3.0,2016-02-14 00:47:32,2021-02-08 21:35:40,ScottfreeLLC/AlphaPy,active,4.0,39:24.6
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,2021-04-24 20:05:27,349.0,188.0,1.0,2019-10-10 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,2021-04-23 21:56:53,2170.0,685.0,1.0,2016-09-12 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,2021-04-24 04:45:17,225.0,45.0,2.0,2017-06-18 19:57:17,2021-03-14 22:22:00,miro-ka/mosquito,active,3.0,39:24.6
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,2021-04-23 21:47:05,942.0,350.0,2.0,2017-02-12 04:50:44,2021-02-04 03:48:33,robertmartin8/MachineLearningStocks,active,3.0,
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,2021-04-24 18:01:53,185.0,122.0,4.0,2018-03-15 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,2021-04-24 03:07:04,283.0,131.0,4.0,2019-11-15 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,2021-04-24 17:00:55,257.0,112.0,3.0,2019-09-27 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 20:51:51,461.0,55.0,1.0,2016-03-11 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,2021-04-24 22:00:03,2318.0,717.0,3.0,2019-02-13 16:57:25,2021-04-22 21:04:01,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,2021-04-24 23:39:19,606.0,390.0,2.0,2019-05-07 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 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,,,,,,,,,,
Financial Event Prediction using Machine Learning,https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3481555,,Personal Papers,,,,,,,,,,
Machine Learning in Asset Management—Part 2: Portfolio Construction—Weight Optimization,https://jfds.pm-research.com/content/2/2/17,,Personal Papers,,,,,,,,,,
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,,,,,,,,,,
riskparity.py,https://github.com/dppalomar/riskparity.py,NEW,Portfolio Selection and Optimisation,2021-04-22 02:18:26,127.0,32.0,2.0,2019-07-13 21:30:55,2021-04-16 02:33:54,dppalomar/riskparity.py,active,,37:19.5
OLMAR Algorithm,https://github.com/charlessutton/OLMAR/blob/master/Part3.ipynb,Relative importance of each component of the OLMAR algorithm.,Portfolio Selection and Optimisation,2021-04-08 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,2021-04-24 21:05:14,102.0,26.0,3.0,2011-09-17 17:49:56,2021-04-05 08:01:12,albertosantini/node-finance,active,,37:19.5
Reinforcement Learning,https://github.com/filangel/qtrader,Reinforcement Learning for Portfolio Management.,Portfolio Selection and Optimisation,2021-04-23 14:39:29,364.0,150.0,1.0,2017-10-07 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,2021-04-24 20:03:28,1934.0,490.0,17.0,2018-05-29 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,2021-04-23 23:56:58,108.0,57.0,1.0,2018-02-17 08:19:46,2018-02-27 13:16:57,tthustla/efficient_frontier,inactive,,
Deep Portfolio Theory,https://github.com/tcloaa/Deep-Portfolio-Theory,Autoencoder framework for portfolio selection.,Portfolio Selection and Optimisation,2021-04-06 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,,
Policy Gradient Portfolio,https://github.com/ZhengyaoJiang/PGPortfolio,A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem.,Portfolio Selection and Optimisation,2021-04-23 07:23:30,1291.0,629.0,6.0,2017-11-12 16:08:44,2019-05-09 09:50:18,ZhengyaoJiang/PGPortfolio,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,2021-04-24 20:03:25,236.0,82.0,3.0,2018-11-16 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,2021-04-24 20:03:23,314.0,59.0,2.0,2020-02-02 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,,,,,,,,,,
Riskfolio-Lib,https://github.com/dcajasn/Riskfolio-Lib,NEW,Portfolio Selection and Optimisation,2021-04-24 20:03:26,393.0,64.0,1.0,2020-03-02 19:49:06,2021-04-24 06:24:50,dcajasn/Riskfolio-Lib,active,,37:19.5
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,,
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,,,,,,,,,,
FinBERT,https://github.com/psnonis/FinBERT,NEW,Textual,2021-04-23 00:52:41,142.0,46.0,3.0,2019-07-09 16:34:27,2020-05-19 02:02:20,psnonis/FinBERT,active,,24:28.5
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 02:12:50,4.0,3.0,1.0,2018-04-16 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,2021-04-20 13:17:45,227.0,36.0,2.0,2019-10-03 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,,
Extensive NLP,https://github.com/TiesdeKok/Python_NLP_Tutorial/blob/master/NLP_Notebook.ipynb,Comprehensive NLP techniques for accounting research.,Textual,2021-04-20 03:13:28,74.0,42.0,1.0,2017-10-25 07:10:26,2020-06-05 03:28:46,TiesdeKok/Python_NLP_Tutorial,active,,
Accounting Anomalies,https://github.com/GitiHubi/deepAI/blob/master/GTC_2018_Lab-solutions.ipynb,Using deep-learning frameworks to identify accounting anomalies.,Textual,2021-04-12 07:47:50,110.0,51.0,2.0,2017-05-24 12:36:38,2019-08-07 21:47:08,GitiHubi/deepAI,active,,
Financial Sentiment Analysis,https://github.com/EricHe98/Financial-Statements-Text-Analysis,"Sentiment, distance and proportion analysis for trading signals.",Textual,2021-04-18 07:54:10,49.0,27.0,1.0,2017-06-23 00:05:49,2019-01-26 03:35:55,EricHe98/Financial-Statements-Text-Analysis,inactive,,
BDCI2019-Negative_Finance_Info_Judge,https://github.com/A-Rain/BDCI2019-Negative_Finance_Info_Judge,NEW,Textual,2021-04-19 03:05:28,108.0,23.0,3.0,2019-12-27 03:49:31,2020-12-04 03:38:57,A-Rain/BDCI2019-Negative_Finance_Info_Judge,active,,24:28.5
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,2021-04-24 09:27:47,163.0,20.0,5.0,2020-05-21 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,2021-04-20 02:31:00,246.0,117.0,1.0,2017-09-14 02:59:03,2018-06-11 13:47:51,dongyuanxin/news-emotion,inactive,,24:28.5
NLP,https://github.com/toamitesh/NLPinFinance,This project assembles a lot of NLP operations needed for finance domain.,Textual,,,,,,,toamitesh/NLPinFinance,,,
Riskfolio-Lib,https://github.com/dcajasn/Riskfolio-Lib,NEW,Portfolio Selection and Optimisation,2021-04-24 20:03:26,393.0,64.0,1.0,2020-03-02 19:49:06,2021-04-24 06:24:50,dcajasn/Riskfolio-Lib,active,,37:19.5
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,2021-04-24 20:03:23,314.0,59.0,2.0,2020-02-02 08:46:33,2021-02-16 18:50:53,jankrepl/deepdow,active,,
Policy Gradient Portfolio,https://github.com/ZhengyaoJiang/PGPortfolio,A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem.,Portfolio Selection and Optimisation,2021-04-23 07:23:30,1291.0,629.0,6.0,2017-11-12 16:08:44,2019-05-09 09:50:18,ZhengyaoJiang/PGPortfolio,active,,
OLMAR Algorithm,https://github.com/charlessutton/OLMAR/blob/master/Part3.ipynb,Relative importance of each component of the OLMAR algorithm.,Portfolio Selection and Optimisation,2021-04-08 19:07:41,7.0,4.0,1.0,2016-07-26 16:20:10,2016-12-30 11:40:53,charlessutton/OLMAR,inactive,,
Efficient Frontier,https://github.com/tthustla/efficient_frontier/blob/master/Efficient%20_Frontier_implementation.ipynb,Modern Portfolio Theory.,Portfolio Selection and Optimisation,2021-04-23 23:56:58,108.0,57.0,1.0,2018-02-17 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,2021-04-24 20:03:28,1934.0,490.0,17.0,2018-05-29 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,2021-04-23 14:39:29,364.0,150.0,1.0,2017-10-07 09:14:33,2018-06-26 09:22:27,filangelos/qtrader,inactive,,
node-finance,https://github.com/albertosantini/node-finance,NEW,Portfolio Selection and Optimisation,2021-04-24 21:05:14,102.0,26.0,3.0,2011-09-17 17:49:56,2021-04-05 08:01:12,albertosantini/node-finance,active,,37:19.5
riskparity.py,https://github.com/dppalomar/riskparity.py,NEW,Portfolio Selection and Optimisation,2021-04-22 02:18:26,127.0,32.0,2.0,2019-07-13 21:30:55,2021-04-16 02:33:54,dppalomar/riskparity.py,active,,37:19.5
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,,
Financial Statement Sentiment,https://github.com/MAydogdu/TextualAnalysis,Extracting sentiment from financial statements using neural networks.,Textual,2021-04-21 10:41:38,9.0,7.0,1.0,2018-06-04 20:54:14,2018-06-04 20:56:02,MAydogdu/TextualAnalysis,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
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,,
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,2021-04-20 02:53:00,36.0,11.0,1.0,2018-09-05 05:29:18,2020-04-09 21:40:04,Gustrigos/Eigen-Portfolio,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
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,,
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
NLP,https://github.com/toamitesh/NLPinFinance,This project assembles a lot of NLP operations needed for finance domain.,Textual,,,,,,,toamitesh/NLPinFinance,,,
news-emotion,https://github.com/dongyuanxin/news-emotion,NEW,Textual,2021-04-20 02:31:00,246.0,117.0,1.0,2017-09-14 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,2021-04-24 09:27:47,163.0,20.0,5.0,2020-05-21 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,,
BDCI2019-Negative_Finance_Info_Judge,https://github.com/A-Rain/BDCI2019-Negative_Finance_Info_Judge,NEW,Textual,2021-04-19 03:05:28,108.0,23.0,3.0,2019-12-27 03:49:31,2020-12-04 03:38:57,A-Rain/BDCI2019-Negative_Finance_Info_Judge,active,,24:28.5
Financial Sentiment Analysis,https://github.com/EricHe98/Financial-Statements-Text-Analysis,"Sentiment, distance and proportion analysis for trading signals.",Textual,2021-04-18 07:54:10,49.0,27.0,1.0,2017-06-23 00:05:49,2019-01-26 03:35:55,EricHe98/Financial-Statements-Text-Analysis,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,,
Extensive NLP,https://github.com/TiesdeKok/Python_NLP_Tutorial/blob/master/NLP_Notebook.ipynb,Comprehensive NLP techniques for accounting research.,Textual,2021-04-20 03:13:28,74.0,42.0,1.0,2017-10-25 07:10:26,2020-06-05 03:28:46,TiesdeKok/Python_NLP_Tutorial,active,,
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,2021-04-20 13:17:45,227.0,36.0,2.0,2019-10-03 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 02:12:50,4.0,3.0,1.0,2018-04-16 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,2021-04-23 00:52:41,142.0,46.0,3.0,2019-07-09 16:34:27,2020-05-19 02:02:20,psnonis/FinBERT,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,,
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,,
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
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
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,,
Eigen-Portfolio,https://github.com/Gustrigos/Eigen-Portfolio,NEW,Unsupervised,2021-04-20 02:53:00,36.0,11.0,1.0,2018-09-05 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,,,
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
Fund Clusters,https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb,Data exploration of fund clusters.,Unsupervised,2021-03-31 02:12:50,4.0,3.0,1.0,2018-04-16 22:18:55,2018-06-07 22:01:32,frechfrechfrech/Mutual-Fund-Market-Clusters,inactive,,
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
Pairs Trading,https://github.com/marketneutral/pairs-trading-with-ML/blob/master/Pairs%2BTrading%2Bwith%2BMachine%2BLearning.ipynb,Finding pairs with cluster analysis.,Unsupervised,2021-04-22 21:41:40,80.0,37.0,0.0,2017-09-05 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 NYU FRE Oxford Man https://engineering.nyu.edu/academics/departments/finance-and-risk-engineering https://www.oxford-man.ox.ac.uk/ Finance and Risk Engineering (NYU Tandon) Oxford-Man Institute of Quantitative Finance Colleges Centers and Departments
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
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 NYU Courant https://cims.nyu.edu/ Courant Institute of Mathematical Sciences, New York University Colleges Centers and Departments
17 Oxford Man Cornell University https://www.oxford-man.ox.ac.uk/ https://www.cornell.edu/ Oxford-Man Institute of Quantitative Finance Colleges Centers and Departments
18 ml-workspace NYU FRE https://github.com/AdicherlaVenkataSai/ml-workspace https://engineering.nyu.edu/academics/departments/finance-and-risk-engineering NEW Finance and Risk Engineering (NYU Tandon) Courses Colleges Centers and Departments 2021-04-24 12:23:17 248.0 82.0 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
19 china-dictatorship Stanford Advanced Financial Technologies https://github.com/cirosantilli/china-dictatorship https://fintech.stanford.edu/ NEW Stanford Advanced Financial Technologies Laboratory Courses Colleges Centers and Departments 2021-04-24 15:21:16 390.0 35.0 4.0 2015-04-02 20:51:50 2021-04-22 01:00:00 cirosantilli/china-dictatorship active 2021-04-19 01:25:20.750834
20 coursera-deep-learning-specialization Introduction-to-Machine-Learning https://github.com/amanchadha/coursera-deep-learning-specialization https://github.com/codeheroku/Introduction-to-Machine-Learning NEW Courses 2021-04-24 12:52:39 2021-04-24 20:25:59 242.0 274.0 258.0 751.0 1.0 3.0 2020-06-24 05:59:01 2019-02-09 12:07:52 2021-04-03 23:18:17 2020-11-28 08:44:08 amanchadha/coursera-deep-learning-specialization codeheroku/Introduction-to-Machine-Learning active 2021-04-19 01:25:20.750834
21 stanford-cs229 machine-learning-notebooks https://github.com/zyxue/stanford-cs229 https://github.com/krasserm/machine-learning-notebooks NEW Courses 2021-04-24 09:35:56 2021-04-18 23:04:06 510.0 284.0 289.0 126.0 2.0 1.0 2017-10-31 23:01:08 2017-07-24 10:21:05 2020-01-14 03:24:16 2020-09-07 12:48:43 zyxue/stanford-cs229 krasserm/machine-learning-notebooks active 2021-04-19 01:25:20.750834
22 stanford-cs231 Artificial-Intelligence-and-Machine-Learning https://github.com/machinelearningnanodegree/stanford-cs231 https://github.com/emilmont/Artificial-Intelligence-and-Machine-Learning NEW Courses 2021-04-24 21:27:27 2021-04-14 05:36:35 250.0 514.0 123.0 299.0 4.0 1.0 2016-09-05 01:40:41 2011-10-16 22:51:06 2017-02-03 16:46:46 2013-07-20 18:21:51 machinelearningnanodegree/stanford-cs231 emilmont/Artificial-Intelligence-and-Machine-Learning inactive 2021-04-19 01:25:20.750834
23 courses ppd599 https://github.com/DataScienceSpecialization/courses https://github.com/gboeing/ppd599 NEW Courses 2021-04-22 21:28:10 2021-04-24 19:06:00 3756.0 1072.0 30732.0 455.0 13.0 1.0 2014-01-21 10:22:57 2015-09-01 19:59:59 2016-03-16 12:13:44 2021-04-21 20:07:34 DataScienceSpecialization/courses gboeing/ppd599 inactive active 2021-04-19 01:25:20.750834
24 DataCamp ml-mipt https://github.com/wblakecannon/DataCamp https://github.com/girafe-ai/ml-mipt NEW Courses 2021-04-24 20:14:01 2021-04-22 19:27:43 1146.0 512.0 1352.0 373.0 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
25 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 2404.0 195.0 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
26 competitive-data-science Play-with-Machine-Learning-Algorithms https://github.com/hse-aml/competitive-data-science https://github.com/liuyubobobo/Play-with-Machine-Learning-Algorithms NEW Courses 2021-04-23 19:36:28 2021-04-24 14:54:59 560.0 1050.0 571.0 564.0 9.0 1.0 2017-10-28 14:56:44 2017-10-17 23:13:24 2020-06-13 13:44:26 2020-11-10 08:26:50 hse-aml/competitive-data-science liuyubobobo/Play-with-Machine-Learning-Algorithms active 2021-04-19 01:25:20.750834
27 datasci_course_materials stat479-machine-learning-fs19 https://github.com/uwescience/datasci_course_materials https://github.com/rasbt/stat479-machine-learning-fs19 NEW Courses 2021-04-19 12:59:10 2021-03-29 01:40:00 898.0 651.0 2442.0 224.0 6.0 1.0 2013-04-12 05:54:36 2019-08-07 07:36:20 2017-03-21 19:21:02 2020-11-28 00:04:07 uwescience/datasci_course_materials rasbt/stat479-machine-learning-fs19 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 2021-04-24 23:38:32 644.0 237.0 250.0 200.0 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 2021-04-19 11:42:16 1490.0 374.0 969.0 332.0 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 88.0 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 2021-04-20 20:19:09 645.0 509.0 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 22:10:59 513.0 364.0 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 ciml https://github.com/hal3/ciml NEW Courses 2021-04-20 02:46:13 776.0 219.0 2.0 2015-08-12 19:26:00 2017-01-20 16:24:19 hal3/ciml inactive 2021-04-19 01:25:20.750834
34 zero-to-mastery-ml https://github.com/mrdbourke/zero-to-mastery-ml NEW Courses 2021-04-23 17:26:07 692.0 1189.0 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
35 stat479-machine-learning-fs18 https://github.com/rasbt/stat479-machine-learning-fs18 NEW Courses 2021-04-23 17:47:16 420.0 207.0 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
36 mlcourse https://github.com/davidrosenberg/mlcourse NEW Courses 2021-04-21 14:07:37 399.0 215.0 9.0 2015-10-11 22:18:25 2021-03-14 01:19:08 davidrosenberg/mlcourse active 2021-04-19 01:25:20.750834
37 MachineLearningWithPython https://github.com/JerryKurata/MachineLearningWithPython NEW Courses 2021-04-24 13:03:17 227.0 340.0 1.0 2016-04-24 21:20:10 2021-04-15 18:17:30 JerryKurata/MachineLearningWithPython active 2021-04-19 01:25:20.750834
38 Coursera-Stanford-ML-Python https://github.com/mstampfer/Coursera-Stanford-ML-Python NEW Courses 2021-04-24 03:19:32 403.0 233.0 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
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 2021-04-24 20:03:21 2393.0 831.0 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 2021-04-23 06:38:21 256.0 475.0 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 2021-04-24 16:56:04 294.0 2608.0 2.0 2019-01-09 20:30:46 2021-04-20 05:27:37 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 2021-04-24 23:40:42 10482.0 1937.0 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 2021-04-23 22:25:58 6640.0 1218.0 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 awesome-ml-courses https://github.com/luspr/awesome-ml-courses NEW Courses 2021-04-24 11:46:40 1977.0 215.0 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
46 machine-learning-coursera-1 https://github.com/Borye/machine-learning-coursera-1 NEW Courses 2021-04-21 10:57:35 1099.0 934.0 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
47 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
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dive-into-machine-learning https://github.com/hangtwenty/dive-into-machine-learning NEW Courses 2021-04-24 23:40:42 10482.0 1937.0 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 2021-04-24 16:56:04 294.0 2608.0 2.0 2019-01-09 20:30:46 2021-04-20 05:27:37 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 2021-04-23 06:38:21 256.0 475.0 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 2021-04-24 20:03:21 2393.0 831.0 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
Coursera-Stanford-ML-Python https://github.com/mstampfer/Coursera-Stanford-ML-Python NEW Courses 2021-04-24 03:19:32 403.0 233.0 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
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
Capital Markets Data https://www.capitalmarketsdata.com/ Data
Employee Count SEC Filings https://github.com/healthgradient/sec_employee_information_extraction Data 2021-04-18 03:25:43 11.0 2.0 1.0 2018-06-26 23:33:51 2018-08-14 01:31:13 healthgradient/sec_employee_information_extraction inactive
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 11.0 1.0 2018-06-11 22:51:57 2018-07-10 18:03:52 TiesdeKok/UW_Python_Camp inactive
Open Edgar https://github.com/LexPredict/openedgar Data 2021-04-23 14:57:48 172.0 61.0 6.0 2018-05-07 15:32:31 2019-05-15 08:32:30 LexPredict/openedgar active
Web Scraping (FirmAI) https://github.com/firmai/business-machine-learning/blob/master/www.firmai.org/data Data 2021-04-23 02:45:53 576.0 184.0 2.0 2019-02-19 19:02:59 2020-07-22 16:48:21 firmai/business-machine-learning active
Rating Industries http://www.ratingshistory.info/ Data
https://stooq.com https://stooq.com Data
Financial Corporate http://raw.rutgers.edu/Corporate%20Financial%20Data.html Data
https://fred.stlouisfed.org/ https://fred.stlouisfed.org/ Data
http://finance.yahoo.com/ http://finance.yahoo.com/ Data
Non-financial Corporate http://raw.rutgers.edu/Non-Financial%20Corporate%20Data.html Data
92 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
93 cointrader https://stooq.com https://github.com/timolson/cointrader https://stooq.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 2021-04-22 21:33:25 342.0 140.0 9.0 2014-06-01 01:14:12 2020-10-22 00:24:50 timolson/cointrader active 2.0 12:49.2
94 CryptoNets Non-financial Corporate https://github.com/microsoft/CryptoNets http://raw.rutgers.edu/Non-Financial%20Corporate%20Data.html 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 2021-04-24 14:02:08 155.0 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 http://finance.yahoo.com/ https://github.com/hpnhxxwn/Google-Finance-Stock-Data-Analysis http://finance.yahoo.com/ data processing platform which stream data from kafka. The example shows two incoming data stream stock vs tweets and two spark streams are created to consume the kafka data then end results are stored in cassandra. Older tech stacks were used and not actively maintained. Data Processing Techniques and Transformations Data 2021-04-24 12:13:48 71.0 10.0 1.0 2017-07-23 02:59:59 2017-07-23 03:10:35 hpnhxxwn/Google-Finance-Stock-Data-Analysis inactive 3.0 12:49.2
96 Advanced ML https://fred.stlouisfed.org/ https://github.com/BlackArbsCEO/Adv_Fin_ML_Exercises https://fred.stlouisfed.org/ 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 2021-04-24 11:53:43 982.0 437.0 4.0 2018-04-25 17:22:40 2020-01-16 17:25:41 BlackArbsCEO/Adv_Fin_ML_Exercises active 4.0
97 Financial Corporate http://raw.rutgers.edu/Corporate%20Financial%20Data.html Data
98 Rating Industries http://www.ratingshistory.info/ Data
99 IRS http://social-metrics.org/sox/ Data
100 Open Edgar https://github.com/LexPredict/openedgar Data 2021-04-23 14:57:48 172.0 61.0 6.0 2018-05-07 15:32:31 2019-05-15 08:32:30 LexPredict/openedgar active
101 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 11.0 1.0 2018-06-11 22:51:57 2018-07-10 18:03:52 TiesdeKok/UW_Python_Camp inactive
102 Employee Count SEC Filings https://github.com/healthgradient/sec_employee_information_extraction Data 2021-04-18 03:25:43 11.0 2.0 1.0 2018-06-26 23:33:51 2018-08-14 01:31:13 healthgradient/sec_employee_information_extraction inactive
103 Capital Markets Data https://www.capitalmarketsdata.com/ Data
104 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
105 Web Scraping (FirmAI) https://github.com/firmai/business-machine-learning/blob/master/www.firmai.org/data Data 2021-04-23 02:45:53 576.0 184.0 2.0 2019-02-19 19:02:59 2020-07-22 16:48:21 firmai/business-machine-learning active
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 2021-04-24 11:53:43 982.0 437.0 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 2021-04-18 06:26:11 67.0 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 2021-04-24 14:02:08 155.0 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 2021-04-22 21:33:25 342.0 140.0 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 2021-04-24 12:13:48 71.0 10.0 1.0 2017-07-23 02:59:59 2017-07-23 03:10:35 hpnhxxwn/Google-Finance-Stock-Data-Analysis inactive 3.0 12:49.2
112 a3c_trading https://github.com/evgps/a3c_trading NEW Deep Learning And Reinforcement Learning 2021-04-18 13:30:27 312.0 98.0 1.0 2018-06-04 15:30:16 2020-05-23 14:47:54 evgps/a3c_trading active 39:11.1
113 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
114 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 2021-04-24 03:01:30 297.0 147.0 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
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 2021-04-23 10:13:05 141.0 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 2021-04-22 11:43:00 1270.0 678.0 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 2021-04-24 17:20:46 568.0 143.0 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 RLQuant https://github.com/yuriak/RLQuant NEW Deep Learning And Reinforcement Learning 2021-04-24 20:03:52 277.0 93.0 1.0 2018-04-05 05:42:44 2018-08-13 04:18:29 yuriak/RLQuant inactive 39:11.1
119 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 2021-04-23 19:53:11 583.0 260.0 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
120 rl_trading https://github.com/ucaiado/rl_trading NEW Deep Learning And Reinforcement Learning 2021-04-18 09:54:12 210.0 89.0 1.0 2017-05-29 22:19:00 2017-08-29 14:54:50 ucaiado/rl_trading inactive 39:11.1
121 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 2021-04-22 10:39:37 295.0 129.0 3.0 2017-03-10 10:52:02 2018-06-11 08:07:02 PiSimo/BitcoinForecast inactive 3.0 3/31/21 8:00
122 pairstrade-fyp-2019 https://github.com/wywongbd/pairstrade-fyp-2019 NEW Deep Learning And Reinforcement Learning 2021-04-20 13:15:07 110.0 40.0 2.0 2018-09-07 07:51:06 2020-05-13 05:06:51 wywongbd/pairstrade-fyp-2019 active 39:11.1
123 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 2021-04-22 15:02:29 352.0 112.0 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
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 2021-04-22 07:42:30 134.0 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 Trading-Gym https://github.com/thedimlebowski/Trading-Gym NEW Deep Learning And Reinforcement Learning 2021-04-23 14:39:28 506.0 148.0 3.0 2017-06-13 13:14:48 2017-07-10 08:09:30 thedimlebowski/Trading-Gym inactive 39:11.1
126 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 2021-04-24 15:10:09 1914.0 463.0 22.0 2020-07-26 13:18:16 2021-04-24 04:28:39 AI4Finance-LLC/FinRL active 5.0 3/31/21 8:00
127 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
128 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
129 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
130 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 2021-04-23 08:09:09 140.0 50.0 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
131 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 2021-04-23 21:05:14 241.0 109.0 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
132 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 2021-04-23 14:39:32 1146.0 330.0 2.0 2018-03-10 11:22:00 2018-09-02 17:21:38 Ceruleanacg/Personae inactive 5.0 3/31/21 8:00
133 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
134 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
135 AI Trading https://github.com/borisbanushev/stockpredictionai/blob/master/readme2.md AI to predict stock market movements. Deep Learning And Reinforcement Learning 2021-04-24 16:48:58 2899.0 1398.0 1.0 2019-01-09 08:02:47 2019-02-11 16:32:47 borisbanushev/stockpredictionai inactive 5.0
136 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
137 LTSM Recurrent https://github.com/VivekPa/AIAlpha OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network. Deep Learning And Reinforcement Learning 2021-04-24 20:45:01 1214.0 371.0 2.0 2018-10-07 03:58:26 2019-08-03 09:00:44 VivekPa/AIAlpha active 4.0
138 RL III https://github.com/samre12/deep-trading-agent Github -Deep Reinforcement Learning based Trading Agent for Bitcoin. Deep Learning And Reinforcement Learning 2021-04-24 11:11:01 578.0 205.0 1.0 2017-09-21 17:05:19 2018-04-13 16:33:21 samre12/deep-trading-agent inactive 3.0
139 Deep Learning IV https://github.com/achillesrasquinha/bulbea Bulbea: Deep Learning based Python Library. Deep Learning And Reinforcement Learning 2021-04-24 16:05:51 1472.0 416.0 1.0 2017-03-09 06:11:06 2017-03-19 07:42:49 achillesrasquinha/bulbea inactive 5.0
140 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 97.0 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
141 Neural Network https://github.com/VivekPa/IntroNeuralNetworks Neural networks to predict stock prices. Deep Learning And Reinforcement Learning 2021-04-22 13:24:30 493.0 176.0 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 2021-04-24 12:59:48 1321.0 454.0 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 Deep Learning II https://github.com/LiamConnell/deep-algotrading/tree/master/notebooks Tensorflow Regression. Deep Learning And Reinforcement Learning 2021-04-23 14:39:21 175.0 67.0 1.0 2016-07-12 12:56:10 2018-02-16 02:43:36 LiamConnell/deep-algotrading inactive 3.0
147 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 2021-04-25 00:20:19 3726.0 1560.0 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
148 maro https://github.com/microsoft/maro NEW Deep Learning And Reinforcement Learning 2021-04-24 17:20:46 391.0 68.0 18.0 2019-12-27 06:48:27 2021-04-15 08:27:30 microsoft/maro active 39:11.1
149 RL V trading-rl https://github.com/gstenger98/rl-finance https://github.com/Kostis-S-Z/trading-rl Building an Agent to Trade with Reinforcement Learning. 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 2021-04-08 18:57:53 2021-04-13 09:54:54 33.0 181.0 8.0 38.0 5.0 2.0 2019-01-16 00:43:36 2019-04-22 10:03:21 2020-03-19 20:28:08 2020-09-28 09:07:18 gstenger98/rl-finance Kostis-S-Z/trading-rl active 2.0 3.0 3/31/21 8:00
150 FinRL https://github.com/AI4Finance-LLC/FinRL NEW Deep Learning And Reinforcement Learning 2021-04-24 15:10:09 1914.0 463.0 22.0 2020-07-26 13:18:16 2021-04-24 04:28:39 AI4Finance-LLC/FinRL active 13:03.7
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 2021-04-20 21:08:28 143.0 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
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 2021-04-20 10:40:42 717.0 299.0 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 2021-04-24 15:33:48 282.0 102.0 1.0 2018-09-29 23:38:06 2021-04-24 15:33:46 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 2021-04-20 11:58:03 137.0 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 2021-04-22 07:44:43 584.0 195.0 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 2021-04-23 14:39:21 1342.0 490.0 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 2021-04-19 13:28:06 852.0 239.0 2.0 2017-05-01 13:53:32 2018-02-14 13:58:18 Yvictor/TradingGym inactive 39:11.1
151 tensortrade https://github.com/tensortrade-org/tensortrade NEW Deep Learning And Reinforcement Learning 2021-04-24 23:27:13 3136.0 725.0 39.0 2019-07-30 21:28:32 2021-03-24 16:25:28 tensortrade-org/tensortrade active 39:11.1
152 LTSM Recurrent TradingGym https://github.com/VivekPa/AIAlpha https://github.com/Yvictor/TradingGym OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network. NEW Deep Learning And Reinforcement Learning 2021-04-24 20:45:01 2021-04-19 13:28:06 1214.0 852.0 371.0 239.0 2.0 2018-10-07 03:58:26 2017-05-01 13:53:32 2019-08-03 09:00:44 2018-02-14 13:58:18 VivekPa/AIAlpha Yvictor/TradingGym active inactive 4.0 39:11.1
153 RL III gym-trading https://github.com/samre12/deep-trading-agent https://github.com/hackthemarket/gym-trading Github -Deep Reinforcement Learning based Trading Agent for Bitcoin. NEW Deep Learning And Reinforcement Learning 2021-04-24 11:11:01 2021-04-22 07:44:43 578.0 584.0 205.0 195.0 1.0 2.0 2017-09-21 17:05:19 2016-12-09 20:46:19 2018-04-13 16:33:21 2017-12-24 15:34:37 samre12/deep-trading-agent hackthemarket/gym-trading inactive 3.0 39:11.1
154 AI Trading Pair-Trading-Reinforcement-Learning https://github.com/borisbanushev/stockpredictionai/blob/master/readme2.md https://github.com/wai-i/Pair-Trading-Reinforcement-Learning AI to predict stock market movements. NEW Deep Learning And Reinforcement Learning 2021-04-24 16:48:58 2021-04-20 11:58:03 2899.0 137.0 1398.0 56.0 1.0 2019-01-09 08:02:47 2019-06-09 22:50:37 2019-02-11 16:32:47 2020-01-03 15:36:22 borisbanushev/stockpredictionai wai-i/Pair-Trading-Reinforcement-Learning inactive active 5.0 39:11.1
155 QLearning_Trading RL II https://github.com/ucaiado/QLearning_Trading https://github.com/deependersingla/deep_trader NEW reinforcement learning on stock market and agent tries to learn trading. Deep Learning And Reinforcement Learning 2021-04-15 19:21:30 2021-04-23 14:39:21 434.0 1342.0 169.0 490.0 1.0 3.0 2016-08-10 06:02:23 2016-06-11 07:27:10 2016-10-15 02:36:09 2018-01-22 14:35:50 ucaiado/QLearning_Trading deependersingla/deep_trader inactive 3.0 39:11.1
156 RLQuant RL https://github.com/yuriak/RLQuant https://github.com/kh-kim/stock_market_reinforcement_learning NEW OpenGym with Deep Q-learning and Policy Gradient. Deep Learning And Reinforcement Learning 2021-04-24 20:03:52 2021-04-20 10:40:42 277.0 717.0 93.0 299.0 1.0 2018-04-05 05:42:44 2016-10-04 14:42:19 2018-08-13 04:18:29 2016-12-23 07:34:08 yuriak/RLQuant kh-kim/stock_market_reinforcement_learning inactive 2.0 39:11.1
157 RL Trading RL IV https://colab.research.google.com/drive/1FzLCI0AO3c7A4bp9Fi01UwXeoc7BN8sW https://github.com/jjakimoto/DQN A collection of 25+ Reinforcement Learning Trading Strategies -Google Colab. 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 4.0
158 trading-bot Deep-Reinforcement-Stock-Trading https://github.com/pskrunner14/trading-bot https://github.com/Albert-Z-Guo/Deep-Reinforcement-Stock-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 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 2021-04-24 03:01:30 2021-04-20 21:08:28 297.0 143.0 147.0 44.0 1.0 2.0 2018-08-13 10:44:08 2019-05-19 22:20:05 2020-01-23 04:41:20 2020-09-27 19:22:28 pskrunner14/trading-bot Albert-Z-Guo/Deep-Reinforcement-Stock-Trading active 3.0 3/31/21 8:00
159 Deep-Reinforcement-Learning-in-Trading Deep-Learning-Machine-Learning-Stock https://github.com/saeed349/Deep-Reinforcement-Learning-in-Trading https://github.com/LastAncientOne/Deep-Learning-Machine-Learning-Stock 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) 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 2021-04-23 10:13:05 2021-04-24 15:33:48 141.0 282.0 68.0 102.0 1.0 2018-05-11 00:52:14 2018-09-29 23:38:06 2019-10-26 14:22:44 2021-04-24 15:33:46 saeed349/Deep-Reinforcement-Learning-in-Trading LastAncientOne/Deep-Learning-Machine-Learning-Stock active 3.0 3/31/21 8:00
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 2021-04-22 11:43:00 2021-04-24 19:28:46 1270.0 3958.0 678.0 1233.0 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 Computational Derivatives https://github.com/cbailes/awesome-deep-trading https://github.com/chenbowen184/Computational_Finance 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 Projects focusing on investigating simulations and computational techniques applied in finance. Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-04-24 17:20:46 2021-01-12 12:22:31 568.0 17.0 143.0 12.0 1.0 2018-11-26 03:23:04 2018-01-29 05:01:52 2021-01-01 09:41:21 2018-08-02 05:56:49 cbailes/awesome-deep-trading chen-bowen/Computational_Finance active inactive 4.0 3/31/21 8:00
162 Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020 Derivative Markets https://github.com/AI4Finance-LLC/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020 https://github.com/broughtj/Fin6470/tree/master/Notebooks 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. The economics of futures, futures, options, and swaps. Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-04-23 19:53:11 2021-04-15 16:03:10 583.0 8.0 260.0 8.0 6.0 1.0 2020-07-26 13:12:53 2016-02-09 05:30:27 2021-01-21 18:11:59 2021-04-15 16:02:59 AI4Finance-LLC/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020 broughtj/Fin6470 active 4.0 3/31/21 8:00
163 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 2021-04-18 09:54:12 2020-10-06 20:37:16 210.0 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
164 BitcoinForecast Derivatives Python https://github.com/PiSimo/BitcoinForecast https://github.com/yhilpisch/dawp/tree/master/python36 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 Derivative analytics with Python. Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-04-22 10:39:37 2021-04-24 15:46:34 295.0 392.0 129.0 301.0 3.0 1.0 2017-03-10 10:52:02 2015-07-09 12:27:29 2018-06-11 08:07:02 2021-02-22 13:29:18 PiSimo/BitcoinForecast yhilpisch/dawp inactive active 3.0 3/31/21 8:00
165 a3c_trading robin_stocks https://github.com/evgps/a3c_trading https://github.com/jmfernandes/robin_stocks NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-04-18 13:30:27 2021-04-24 17:01:50 312.0 1034.0 98.0 262.0 1.0 34.0 2018-06-04 15:30:16 2018-02-23 00:49:37 2020-05-23 14:47:54 2021-02-27 17:48:43 evgps/a3c_trading jmfernandes/robin_stocks active 39:11.1 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 2021-04-20 13:15:07 2021-04-24 23:07:03 110.0 600.0 40.0 173.0 2.0 12.0 2018-09-07 07:51:06 2018-12-14 21:10:40 2020-05-13 05:06:51 2021-04-23 21:57:45 wywongbd/pairstrade-fyp-2019 goldmansachs/gs-quant active 39:11.1 23:51.4
167 TradingGym FinancePy https://github.com/cove9988/TradingGym https://github.com/domokane/FinancePy NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-03-28 05:37:33 2021-04-24 22:04:38 112.0 450.0 39.0 74.0 3.0 6.0 2017-11-06 00:50:01 2019-10-27 15:04:56 2017-11-15 23:55:32 2021-03-11 21:40:14 cove9988/TradingGym domokane/FinancePy inactive active 39:11.1 23:51.4
168 AutomatedStockTrading-DeepQ-Learning Black Scholes https://github.com/sachink2010/AutomatedStockTrading-DeepQ-Learning https://github.com/irajwani/numerical_methods_python/blob/master/black_scholes.ipynb 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 Options pricing. Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-04-22 07:42:30 2020-10-06 20:36:29 134.0 1.0 51.0 2.0 2.0 0.0 2019-02-23 12:01:21 2017-12-09 18:50:20 2020-02-25 18:16:34 2018-07-09 09:48:36 sachink2010/AutomatedStockTrading-DeepQ-Learning irajwani/numerical_methods_python active inactive 3.0 3/31/21 8:00
169 Trading-Gym MarketAnalysis https://github.com/thedimlebowski/Trading-Gym https://github.com/Poseyy/MarketAnalysis NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-04-23 14:39:28 2021-04-20 13:01:40 506.0 172.0 148.0 78.0 3.0 1.0 2017-06-13 13:14:48 2019-03-28 19:46:34 2017-07-10 08:09:30 2020-08-06 05:15:46 thedimlebowski/Trading-Gym Poseyy/MarketAnalysis inactive active 39:11.1 23:51.4
170 FinRL-Library Volatility and Variance Derivatives https://github.com/AI4Finance-LLC/FinRL-Library https://github.com/yhilpisch/lvvd/tree/master/lvvd 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 Volatility derivatives analytics. Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-04-24 15:10:09 2021-04-21 18:01:17 1914.0 82.0 463.0 78.0 22.0 1.0 2020-07-26 13:18:16 2016-10-21 04:12:50 2021-04-24 04:28:39 2021-02-22 13:32:00 AI4Finance-LLC/FinRL yhilpisch/lvvd active 5.0 3/31/21 8:00
171 LTSM GRU QLNet https://github.com/RajatHanda/Finance-Forecasting https://github.com/amaggiulli/QLNet Stock Market Forecasting using LSTM\GRU. NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-03-29 23:59:32 2021-04-22 16:05:49 11.0 260.0 6.0 134.0 1.0 13.0 2018-05-13 02:39:32 2013-08-22 14:51:43 2019-02-25 00:26:42 2021-03-02 18:39:41 RajatHanda/Finance-Forecasting amaggiulli/QLNet inactive active 3.0 23:51.4
172 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 2021-04-22 15:02:29 2021-04-15 21:23:41 352.0 128.0 112.0 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
173 DeepLearningInFinance Derman https://github.com/sonaam1234/DeepLearningInFinance https://github.com/rstreppa/valuation-convertibles-Goldman1994/blob/master/ConvertibleBond_Goldman1994_Derman.ipynb 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. Binomial tree for American call. Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-03-08 13:09:27 2020-10-06 20:37:15 266.0 1.0 145.0 3.0 1.0 2017-08-21 16:00:42 2018-05-18 18:08:16 2017-08-21 17:23:48 2018-09-21 19:59:01 sonaam1234/DeepLearningInFinance rstreppa/valuation-convertibles-Goldman1994 inactive 3.0 3/31/21 8:00
174 Pair Trading RL Options_Data_Science https://github.com/shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading https://github.com/yugedata/Options_Data_Science Using deep actor-critic model to learn best strategies in pair trading. NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-03-27 02:19:29 2021-04-22 19:21:54 241.0 237.0 113.0 39.0 1.0 2017-05-18 16:47:11 2020-12-09 04:51:20 2017-05-18 16:56:38 2021-04-22 19:21:51 shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading yugedata/Options_Data_Science inactive active 3.0 23:51.4
175 DQN-DDPG_Stock_Trading Strata https://github.com/AI4Finance-LLC/DQN-DDPG_Stock_Trading https://github.com/OpenGamma/Strata merged into FinRL library and uses [gym](https://gym.openai.com/) and implementation of DQN NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-04-23 08:09:09 2021-04-23 14:39:12 140.0 612.0 50.0 219.0 4.0 42.0 2018-09-19 03:17:06 2014-06-16 11:45:55 2020-11-26 16:58:00 2021-04-22 15:59:12 AI4Finance-LLC/DQN-DDPG_Stock_Trading OpenGamma/Strata active 3.0 3/31/21 8:00 23:51.4
176 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 2021-04-23 21:05:14 2021-04-16 12:14:41 241.0 336.0 109.0 167.0 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
177 Personae openAlgo https://github.com/Ceruleanacg/Personae https://github.com/mtompkins/openAlgo implementation of deep reinforcement learning and supervised learnings covering areas: deep deterministic policy gradient (DDPG) and DDQN etc. Data are being pulled from [rqalpha](https://github.com/ricequant/rqalpha) which is a python backtest engine and have a nice docker image to run training/testing NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-04-23 14:39:32 2021-04-23 13:20:12 1146.0 161.0 330.0 82.0 2.0 2018-03-10 11:22:00 2013-05-28 14:46:53 2018-09-02 17:21:38 2017-03-24 20:00:24 Ceruleanacg/Personae mtompkins/openAlgo inactive 5.0 3/31/21 8:00 23:51.4
178 Options https://github.com/PHBS/2018.M1.ASP/tree/master/py Black Scholes and Copula. Derivatives and Hedging PHBS/2018.M1.ASP
179 wallstreet https://github.com/mcdallas/wallstreet NEW Derivatives and Hedging 2021-04-24 17:41:47 578.0 126.0 2.0 2016-01-20 22:03:39 2019-08-09 23:14:52 mcdallas/wallstreet active 23:51.4
180 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
181 trade-frame https://github.com/rburkholder/trade-frame NEW Derivatives and Hedging 2021-04-24 09:22:43 192.0 79.0 1.0 2016-07-24 15:25:30 2020-11-09 01:16:46 rburkholder/trade-frame active 23:51.4
182 Options-Trading-Strategies-in-Python https://github.com/PyPatel/Options-Trading-Strategies-in-Python NEW Derivatives and Hedging 2021-04-19 16:55:34 320.0 134.0 1.0 2017-08-30 06:00:15 2019-08-21 15:47:57 PyPatel/Options-Trading-Strategies-in-Python active 23:51.4
183 quant-trading https://github.com/je-suis-tm/quant-trading NEW Derivatives and Hedging 2021-04-24 22:59:18 1811.0 485.0 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 2021-04-24 01:31:15 146.0 77.0 2.0 2020-01-14 07:21:39 2021-04-15 07:10:04 hbdmapi/huobi_futures_Python active 23:51.4
184 paperbroker https://github.com/philipodonnell/paperbroker NEW Derivatives and Hedging 2021-04-17 02:37:05 176.0 49.0 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 2021-04-24 21:13:16 397.0 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 tda-api https://github.com/alexgolec/tda-api NEW Derivatives and Hedging 2021-04-24 02:59:38 660.0 165.0 13.0 2020-04-03 21:19:12 2021-04-15 03:16:56 alexgolec/tda-api active 23:51.4
188 akshare huobi_futures_Python https://github.com/jindaxiang/akshare https://github.com/hbdmapi/huobi_futures_Python NEW Derivatives and Hedging 2021-04-24 22:56:14 2021-04-24 01:31:15 3425.0 146.0 692.0 77.0 11.0 2.0 2019-10-01 07:34:12 2020-01-14 07:21:39 2021-04-24 14:32:16 2021-04-15 07:10:04 jindaxiang/akshare hbdmapi/huobi_futures_Python active 23:51.4
189 tai https://github.com/fremantle-industries/tai NEW Derivatives and Hedging 2021-04-24 15:08:47 275.0 46.0 6.0 2017-07-28 03:07:18 2021-04-24 06:49:09 fremantle-industries/tai active 23:51.4
190 FinanceDatabase https://github.com/JerBouma/FinanceDatabase NEW Derivatives and Hedging 2021-04-24 20:56:25 620.0 71.0 1.0 2021-01-28 18:36:09 2021-04-20 14:43:09 JerBouma/FinanceDatabase active 23:51.4
191 AlgorithmicTrading https://github.com/JerBouma/AlgorithmicTrading NEW Derivatives and Hedging 2021-04-18 12:28:18 173.0 54.0 1.0 2019-03-14 09:33:37 2021-02-03 22:29:07 JerBouma/AlgorithmicTrading active 23:51.4
193 tf-quant-finance https://github.com/google/tf-quant-finance NEW Derivatives and Hedging 2021-04-24 20:45:01 2582.0 336.0 28.0 2019-07-24 16:09:50 2021-04-23 15:50:58 google/tf-quant-finance active 23:51.4
194 algotrader https://github.com/torreyleonard/algotrader NEW Derivatives and Hedging 2021-04-22 08:31:22 477.0 103.0 12.0 2018-04-10 02:31:26 2020-08-27 08:16:44 torreyleonard/algotrader active 23:51.4
195 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
196 akshare https://github.com/jindaxiang/akshare NEW Derivatives and Hedging 2021-04-24 22:56:14 3425.0 692.0 11.0 2019-10-01 07:34:12 2021-04-24 14:32:16 jindaxiang/akshare active 23:51.4
197 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
wallstreet https://github.com/mcdallas/wallstreet NEW Derivatives and Hedging 2021-04-24 17:41:47 578.0 126.0 2.0 2016-01-20 22:03:39 2019-08-09 23:14:52 mcdallas/wallstreet 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
openAlgo https://github.com/mtompkins/openAlgo NEW Derivatives and Hedging 2021-04-23 13:20:12 161.0 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 2021-04-23 14:39:12 612.0 219.0 42.0 2014-06-16 11:45:55 2021-04-22 15:59:12 OpenGamma/Strata active 23:51.4
StockSharp https://github.com/StockSharp/StockSharp NEW Derivatives and Hedging 2021-04-24 19:28:46 3958.0 1233.0 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
Derivatives Python https://github.com/yhilpisch/dawp/tree/master/python36 Derivative analytics with Python. Derivatives and Hedging 2021-04-24 15:46:34 392.0 301.0 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 2021-04-24 17:01:50 1034.0 262.0 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 2021-04-24 23:07:03 600.0 173.0 12.0 2018-12-14 21:10:40 2021-04-23 21:57:45 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
FinancePy https://github.com/domokane/FinancePy NEW Derivatives and Hedging 2021-04-24 22:04:38 450.0 74.0 6.0 2019-10-27 15:04:56 2021-03-11 21:40:14 domokane/FinancePy 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 12:14:41 336.0 167.0 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 2021-04-20 13:01:40 172.0 78.0 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 2021-04-21 18:01:17 82.0 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
Options_Data_Science https://github.com/yugedata/Options_Data_Science NEW Derivatives and Hedging 2021-04-22 19:21:54 237.0 39.0 1.0 2020-12-09 04:51:20 2021-04-22 19:21:51 yugedata/Options_Data_Science active 23:51.4
QLNet https://github.com/amaggiulli/QLNet NEW Derivatives and Hedging 2021-04-22 16:05:49 260.0 134.0 13.0 2013-08-22 14:51:43 2021-03-02 18:39:41 amaggiulli/QLNet active 23:51.4
finmath-lib https://github.com/finmath/finmath-lib NEW Extended Research 2021-04-23 14:39:09 308.0 125.0 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 2021-04-22 22:08:21 103.0 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
StockPredictionRNN https://github.com/dzitkowskik/StockPredictionRNN NEW Extended Research 2021-04-23 00:44:55 489.0 213.0 2.0 2015-11-26 19:00:35 2016-05-21 15:51:22 dzitkowskik/StockPredictionRNN inactive 2021-04-21 01:25:51.827641
MIDAS https://github.com/Stream-AD/MIDAS NEW Extended Research 2021-04-23 20:43:27 602.0 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
Trading-Bot https://github.com/RaidasGrisk/Trading-Bot NEW Extended Research 2021-04-24 17:38:27 73.0 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
math-php https://github.com/markrogoyski/math-php NEW Extended Research 2021-04-22 11:45:36 1885.0 200.0 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
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
ReactiveTraderCloud https://github.com/AdaptiveConsulting/ReactiveTraderCloud NEW Extended Research 2021-04-23 20:34:39 1567.0 497.0 81.0 2015-11-13 19:24:11 2021-04-23 15:07:13 AdaptiveConsulting/ReactiveTraderCloud 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
fraud-detection-demo https://github.com/afedulov/fraud-detection-demo NEW Extended Research 2021-04-23 19:17:35 158.0 67.0 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-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 2021-04-24 19:38:23 13226.0 1608.0 66.0 2015-02-11 08:49:54 2021-04-22 23:07:02 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 30.0 1.0 2014-05-02 00:19:01 2016-11-16 05:57:09 daleroberts/math-finance-cheat-sheet inactive 2021-04-21 01:25:51.827641
kafka-fraud-detector https://github.com/florimondmanca/kafka-fraud-detector NEW Extended Research 2021-04-23 11:08:55 60.0 44.0 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 2021-04-24 01:42:33 361.0 65.0 2.0 2019-11-21 05:39:23 2021-04-24 01:42:30 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
talkingdata-adtracking-fraud-detection https://github.com/flowlight0/talkingdata-adtracking-fraud-detection NEW Extended Research 2021-04-22 06:10:23 203.0 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
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 2021-04-23 23:59:07 121.0 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
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
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
Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras https://github.com/curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras NEW Extended Research 2021-04-24 00:05:38 341.0 238.0 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
Krypto-trading-bot https://github.com/ctubio/Krypto-trading-bot NEW Extended Research 2021-04-24 18:06:27 2171.0 593.0 49.0 2017-06-13 20:15:54 2021-04-22 12:34:22 ctubio/Krypto-trading-bot 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
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
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 2021-04-24 00:11:56 91.0 58.0 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 2021-04-22 02:38:44 129.0 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 2021-04-24 12:44:43 1832.0 546.0 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
InteractiveBrokers-Algo-System https://github.com/rediar/InteractiveBrokers-Algo-System NEW Extended Research 2021-04-22 05:54:16 152.0 64.0 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
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 2021-04-24 20:31:22 113.0 35.0 2.0 2020-07-05 07:59:38 2021-04-21 17:31:51 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
exchange-core https://github.com/mzheravin/exchange-core NEW Extended Research 2021-04-24 09:41:48 852.0 396.0 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
TradingStrategies https://github.com/SoftAlgoTrade/TradingStrategies NEW Extended Research 2021-04-21 14:58:57 118.0 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 2021-04-23 14:59:19 289.0 76.0 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 2021-04-24 00:46:21 245.0 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 2021-04-22 15:25:17 143.0 45.0 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 2021-04-24 21:46:48 160.0 31.0 2.0 2018-05-23 14:22:25 2018-10-17 08:06:21 carlos8f/bot18 inactive 2021-04-21 01:25:51.827641
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
gym-fx https://github.com/harveybc/gym-fx NEW Extended Research 2021-04-23 14:39:24 153.0 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
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
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
hummingbot_chinese https://github.com/CoinAlpha/hummingbot_chinese NEW Extended Research 2021-04-24 13:35:35 126.0 20.0 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
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
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 2021-04-23 21:18:25 371.0 164.0 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 2021-04-23 19:56:10 463.0 150.0 31.0 2013-12-26 10:22:00 2021-04-23 18:59:12 OpenHFT/OpenHFT active 2021-04-21 01:25:51.827641
hft https://github.com/nickhuangxinyu/hft NEW Extended Research 2021-04-22 09:42:47 145.0 69.0 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 2021-04-23 06:05:11 422.0 140.0 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
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
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
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
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 https://github.com/rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy High frequency trading. Extended Research 2021-04-24 16:04:07 759.0 334.0 1.0 2016-07-21 05:14:14 2017-02-14 16:47:25 rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy inactive
199 HFT_Bitcoin https://github.com/ghgr/HFT_Bitcoin NEW Extended Research 2021-04-18 10:57:05 72.0 23.0 1.0 2017-07-27 07:11:48 2017-08-21 14:50:35 ghgr/HFT_Bitcoin inactive 2021-04-21 01:25:51.827641
200 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
201 awesome-fraud-detection-papers 448Project https://github.com/benedekrozemberczki/awesome-fraud-detection-papers https://github.com/HujiaYuYoyo/448Project NEW Extended Research 2021-04-22 13:22:31 2021-04-23 14:39:33 857.0 66.0 183.0 44.0 4.0 2019-05-27 10:23:22 2018-04-14 21:19:21 2021-04-03 10:45:01 2018-06-10 09:29:37 benedekrozemberczki/awesome-fraud-detection-papers HujiaYuYoyo/448Project active inactive 2021-04-21 01:25:51.827641
202 tribeca https://github.com/michaelgrosner/tribeca NEW Extended Research 2021-04-24 20:04:28 3485.0 890.0 22.0 2015-07-07 18:40:45 2018-02-26 18:01:13 michaelgrosner/tribeca inactive 2021-04-21 01:25:51.827641
203 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
448Project https://github.com/HujiaYuYoyo/448Project NEW Extended Research 2021-04-23 14:39:33 66.0 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
204 kungfu https://github.com/kungfu-origin/kungfu NEW Extended Research 2021-04-23 14:39:30 2328.0 855.0 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
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 awesome-fraud-detection-papers https://github.com/benedekrozemberczki/awesome-fraud-detection-papers NEW Extended Research 2021-04-22 13:22:31 857.0 183.0 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
207 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
208 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
209 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
210 HFT-Orderbook https://github.com/Crypto-toolbox/HFT-Orderbook NEW Extended Research 2021-04-23 06:05:11 422.0 140.0 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 2021-04-22 09:42:47 145.0 69.0 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 2021-04-23 19:56:10 463.0 150.0 31.0 2013-12-26 10:22:00 2021-04-23 18:59:12 OpenHFT/OpenHFT active 2021-04-21 01:25:51.827641
213 example-hftish https://github.com/alpacahq/example-hftish NEW Extended Research 2021-04-23 21:18:25 371.0 164.0 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 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
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 2021-04-24 13:35:35 126.0 20.0 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 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
220 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
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
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
Corporate Finance https://github.com/SeanMcOwen/FinanceAndPython.com-CorporateFinance Basic corporate finance. Extended Research 2021-01-16 19:01:31 9.0 5.0 1.0 2017-09-09 03:35:24 2017-09-09 23:04:48 SeanMcOwen/FinanceAndPython.com-CorporateFinance inactive
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 2021-04-24 15:17:48 668.0 432.0 9.0 2017-01-21 11:24:18 2020-08-01 17:03:32 Auquan/Tutorials 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
221 Liquidity and Momentum https://github.com/mrefermat/quant_finance Various factors and portfolio constructions. Extended Research 2021-04-20 13:01:20 30.0 17.0 1.0 2018-08-11 22:59:53 2019-11-12 04:49:01 mrefermat/quant_finance active
222 freqtrade_bot Computational Finance https://github.com/michael-fourie/freqtrade_bot https://github.com/lnsongxf/Applied_Computational_Economics_and_Finance NEW Applied Computational Economics and Finance. Extended Research 2021-04-22 15:17:35 2021-03-07 17:47:01 59.0 12.0 21.0 13.0 1.0 2020-12-21 00:14:25 2017-08-27 03:46:33 2021-01-07 19:52:54 2017-08-26 04:26:04 michael-fourie/freqtrade_bot lnsongxf/Applied_Computational_Economics_and_Finance active inactive 2021-04-21 01:25:51.827641
223 Simulation High Frequency https://github.com/chenbowen184/Computational_Finance https://github.com/cswaney/prickle Investigating simulations as part of computational finance. A Python toolkit for high-frequency trade research. Extended Research 2021-01-12 12:22:31 2021-03-22 02:19:15 17.0 24.0 12.0 17.0 1.0 2.0 2018-01-29 05:01:52 2016-07-06 20:32:21 2018-08-02 05:56:49 2018-06-09 10:53:51 chen-bowen/Computational_Finance cswaney/prickle 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
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 2021-04-19 09:15:38 11.0 3.0 1.0 2019-01-22 10:59:50 2019-03-12 18:35:02 ryanholbrook/critical-transitions inactive
Bayesian Finance https://github.com/marketneutral/alphatools/blob/master/notebooks/pymc3-minimal.ipynb Notebook PyMC3 implementation. Extended Research 2021-04-24 06:26:36 236.0 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 2021-04-22 18:40:48 714.0 278.0 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 2021-04-23 04:59:49 628.0 167.0 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
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
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
224 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
225 TradeFinexLive Economic Foundations https://github.com/XinFinOrg/TradeFinexLive https://github.com/SeanMcOwen/FinanceAndPython.com-EconomicFoundations NEW Basic economic models. Factor and Risk Analysis Extended Research 2021-03-18 09:48:52 2020-10-06 21:01:59 5.0 2.0 11.0 3.0 8.0 1.0 2018-03-21 10:05:22 2017-05-25 02:27:36 2021-03-18 09:48:32 2017-06-30 03:53:59 XinFinOrg/TradeFinexLive SeanMcOwen/FinanceAndPython.com-EconomicFoundations active inactive 23:57.7
226 simulate Deep Portfolio https://github.com/leolle/simulate https://github.com/DLColumbia/DL_forFinance NEW Deep learning for finance Predict volume of bonds. Factor and Risk Analysis Extended Research 2021-03-23 13:34:53 2021-01-12 11:48:27 11.0 27.0 2.0 19.0 1.0 2.0 2017-06-04 15:18:21 2018-05-08 19:34:17 2018-11-11 14:03:40 2018-05-09 15:39:25 leolle/simulate DLColumbia/DL_forFinance inactive 23:57.7
227 Pyfolio NLP Finance Papers https://github.com/quantopian/pyfolio https://github.com/chenbowen184/Research_Documents_Curation_with_NLP Portfolio and risk analytics in Python. Curating quantitative finance papers using machine learning. Factor and Risk Analysis Extended Research 2021-04-24 19:50:03 2021-02-27 06:33:23 3709.0 8.0 1168.0 9.0 42.0 1.0 2015-06-01 15:31:39 2018-10-11 20:32:37 2020-02-28 17:30:19 2018-12-24 23:27:55 quantopian/pyfolio chen-bowen/Research_Documents_Curation_with_NLP active inactive
228 VaR GaN Real Estate Property Fraud https://github.com/hamaadshah/market_risk_gan_keras https://github.com/aviroop1/Real_Estate_Property_Fraud Estimate Value-at-Risk for market risk management using Keras and TensorFlow. Unsupervised fraud detection model that can identify likely candidates of fraud. Factor and Risk Analysis Extended Research 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 aviroop1/Real_Estate_Property_Fraud active
229 Factor Analysis Bayesian Finance I https://github.com/alpha-miner/alpha-mind/tree/master/notebooks https://github.com/AlexIoannides/pymc-stochastic-process/blob/master/bayes_stoch_proc_calib.ipynb Factor strategy notebooks. Stochastic Process Calibration using Bayesian Inference & Probabilistic Programs. Factor and Risk Analysis Extended Research 2021-04-23 14:39:27 2020-11-28 03:02:48 173.0 25.0 60.0 6.0 3.0 0.0 2017-05-01 07:36:54 2019-01-04 12:30:41 2021-04-07 15:25:27 2019-02-18 09:55:21 alpha-miner/alpha-mind AlexIoannides/pymc-stochastic-process active inactive
230 Risk and Return Backtests https://github.com/PyDataBlog/Python-for-Data-Science/tree/master/Tutorials https://github.com/AlgoTraders/stock-analysis-engine Riskiness of portfolios and assets. Trading data and algorithms. Factor and Risk Analysis Extended Research 2021-04-22 12:51:46 2021-04-23 04:59:49 143.0 628.0 61.0 167.0 2.0 3.0 2017-09-12 13:35:09 2018-09-16 20:00:36 2020-08-06 12:35:44 2020-09-05 13:01:05 PyDataBlog/Python-for-Data-Science AlgoTraders/stock-analysis-engine active
231 stock-market-analysis-using-python-numpy-pandas Financial Economics https://github.com/Ashishsinha10/stock-market-analysis-using-python-numpy-pandas https://github.com/rsvp/fecon235/tree/master/nb NEW Financial Economics Models. Factor and Risk Analysis Extended Research 2021-03-21 08:50:27 2021-04-22 18:40:48 8.0 714.0 5.0 278.0 1.0 2.0 2018-04-10 05:15:49 2014-11-09 04:49:01 2018-04-10 05:28:54 2018-12-03 16:30:28 Ashishsinha10/stock-market-analysis-using-python-numpy-pandas rsvp/fecon235 inactive 23:57.7
232 -L- Bayesian Finance https://github.com/jettbrains/-L- https://github.com/marketneutral/alphatools/blob/master/notebooks/pymc3-minimal.ipynb NEW Notebook PyMC3 implementation. Factor and Risk Analysis Extended Research 2021-03-15 03:05:00 2021-04-24 06:26:36 6.0 236.0 16.0 56.0 1.0 2019-10-28 21:50:26 2018-08-28 14:45:00 2019-10-28 21:51:19 2020-08-06 22:03:47 jettbrains/-L- marketneutral/alphatools active 23:57.7
233 AlphaTrading Critical Transitions https://github.com/jerryxyx/AlphaTrading https://github.com/ryanholbrook/critical-transitions NEW Detecting critical transitions in financial networks with topological data analysis. Factor and Risk Analysis Extended Research 2021-04-14 15:16:22 2021-04-19 09:15:38 150.0 11.0 76.0 3.0 1.0 2018-05-18 22:09:52 2019-01-22 10:59:50 2018-08-07 18:05:37 2019-03-12 18:35:02 jerryxyx/AlphaTrading ryanholbrook/critical-transitions inactive 37:06.3
234 Factor Analysis Currency PCA https://github.com/garvit-kudesia91/factor_analysis/blob/master/Factor%20Analysis%20of%20Mutual%20Funds.ipynb https://github.com/shanemulqueen/python-finance-pca/blob/master/FX_spots_w_PCA.ipynb Factor analysis for mutual funds. Forex spots PCA. Factor and Risk Analysis Extended Research 2020-12-21 14:26:46 2020-10-26 00:55:20 3.0 4.0 1.0 1.0 2018-03-13 07:39:20 2019-03-12 21:11:29 2018-03-13 07:42:36 2019-03-12 22:09:10 garvit-kudesia91/factor_analysis shanemulqueen/python-finance-pca inactive
235 Risk Basic Finance Graph Theory https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%203%2C%20Risk.ipynb https://github.com/AvijitGhosh82/Finance_Graph_Theory Active portfolio risk management . Modelling Contentedness of Firms in Financial Markets with Heterogeneous Agents. Factor and Risk Analysis Extended Research 2021-03-01 13:53:42 2021-03-28 02:22:22 31.0 17.0 19.0 7.0 1.0 3.0 2016-05-10 11:03:48 2018-08-02 02:48:24 2016-05-17 03:44:56 2019-03-16 18:39:38 RJT1990/Active-Portfolio-Management-Notes evijit/Finance_Graph_Theory inactive
236 Performance Analysis Simulation https://github.com/quantopian/alphalens https://github.com/chenbowen184/Computational_Finance Performance analysis of predictive (alpha) stock factors. Investigating simulations as part of computational finance. Factor and Risk Analysis Extended Research 2021-04-24 09:38:45 2021-01-12 12:22:31 1871.0 17.0 707.0 12.0 17.0 1.0 2016-06-03 21:49:15 2018-01-29 05:01:52 2020-04-27 18:40:41 2018-08-02 05:56:49 quantopian/alphalens chen-bowen/Computational_Finance active inactive
237 Various Risk Measures freqtrade_bot https://github.com/Jorgencr/Alternative-and-Responsible-Investments/blob/master/Final_masterfile.ipynb https://github.com/michael-fourie/freqtrade_bot Risk measures and factors for alternative and responsible investments. NEW Factor and Risk Analysis Extended Research 2020-11-04 07:04:38 2021-04-22 15:17:35 4.0 59.0 5.0 21.0 1.0 2017-08-07 14:44:32 2020-12-21 00:14:25 2017-08-08 22:52:11 2021-01-07 19:52:54 Jorgencr/Alternative-and-Responsible-Investments michael-fourie/freqtrade_bot inactive active 2021-04-21 01:25:51.827641
238 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
239 Mathematical Finance https://github.com/Auquan/Tutorials Notebooks for math and financial tutorials. Extended Research 2021-04-24 15:17:48 668.0 432.0 9.0 2017-01-21 11:24:18 2020-08-01 17:03:32 Auquan/Tutorials active
240 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
241 Commodity https://github.com/felipessalvatore/fin2vec/blob/master/src/Commodity2BR.ipynb Commodity influence over Brazilian stocks. Extended Research felipessalvatore/fin2vec
242 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
243 Corporate Finance https://github.com/SeanMcOwen/FinanceAndPython.com-CorporateFinance Basic corporate finance. Extended Research 2021-01-16 19:01:31 9.0 5.0 1.0 2017-09-09 03:35:24 2017-09-09 23:04:48 SeanMcOwen/FinanceAndPython.com-CorporateFinance inactive
244 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
245 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
246 finmath-lib https://github.com/finmath/finmath-lib NEW Extended Research 2021-04-23 14:39:09 308.0 125.0 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
247 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
248 ml-fraud-detection https://github.com/georgymh/ml-fraud-detection NEW Extended Research 2021-04-23 23:59:07 121.0 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 talkingdata-adtracking-fraud-detection https://github.com/flowlight0/talkingdata-adtracking-fraud-detection NEW Extended Research 2021-04-22 06:10:23 203.0 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
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 2021-04-24 01:42:33 361.0 65.0 2.0 2019-11-21 05:39:23 2021-04-24 01:42:30 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 2021-04-23 11:08:55 60.0 44.0 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 30.0 1.0 2014-05-02 00:19:01 2016-11-16 05:57:09 daleroberts/math-finance-cheat-sheet inactive 2021-04-21 01:25:51.827641
255 fingerprintjs https://github.com/fingerprintjs/fingerprintjs NEW Extended Research 2021-04-24 19:38:23 13226.0 1608.0 66.0 2015-02-11 08:49:54 2021-04-22 23:07:02 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 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
258 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
259 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
260 math-php https://github.com/markrogoyski/math-php NEW Extended Research 2021-04-22 11:45:36 1885.0 200.0 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 Trading-Bot https://github.com/RaidasGrisk/Trading-Bot NEW Extended Research 2021-04-24 17:38:27 73.0 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
262 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
263 MIDAS https://github.com/Stream-AD/MIDAS NEW Extended Research 2021-04-23 20:43:27 602.0 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
264 StockPredictionRNN https://github.com/dzitkowskik/StockPredictionRNN NEW Extended Research 2021-04-23 00:44:55 489.0 213.0 2.0 2015-11-26 19:00:35 2016-05-21 15:51:22 dzitkowskik/StockPredictionRNN inactive 2021-04-21 01:25:51.827641
265 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
266 Financial-Formulas-Library-.NET-Standard https://github.com/srbrettle/Financial-Formulas-Library-.NET-Standard NEW Extended Research 2021-04-22 22:08:21 103.0 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
267 gym-fx https://github.com/harveybc/gym-fx NEW Extended Research 2021-04-23 14:39:24 153.0 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
268 ReactiveTraderCloud https://github.com/AdaptiveConsulting/ReactiveTraderCloud NEW Extended Research 2021-04-23 20:34:39 1567.0 497.0 81.0 2015-11-13 19:24:11 2021-04-23 15:07:13 AdaptiveConsulting/ReactiveTraderCloud active 2021-04-21 01:25:51.827641
269 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
270 fraud-detection-demo https://github.com/afedulov/fraud-detection-demo NEW Extended Research 2021-04-23 19:17:35 158.0 67.0 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
271 Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras https://github.com/curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras NEW Extended Research 2021-04-24 00:05:38 341.0 238.0 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
272 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
273 roq-api https://github.com/roq-trading/roq-api NEW Extended Research 2021-04-22 15:25:17 143.0 45.0 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
274 wondertrader https://github.com/wondertrader/wondertrader NEW Extended Research 2021-04-24 00:46:21 245.0 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
275 algotrading https://github.com/ivopetiz/algotrading NEW Extended Research 2021-04-23 14:59:19 289.0 76.0 3.0 2018-07-10 22:10:41 2021-04-11 22:27:59 ivopetiz/algotrading active 2021-04-21 01:25:51.827641
276 TradingStrategies https://github.com/SoftAlgoTrade/TradingStrategies NEW Extended Research 2021-04-21 14:58:57 118.0 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
277 exchange-core https://github.com/mzheravin/exchange-core NEW Extended Research 2021-04-24 09:41:48 852.0 396.0 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
278 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 2021-04-24 20:31:22 113.0 35.0 2.0 2020-07-05 07:59:38 2021-04-21 17:31:51 TheSnowGuru/PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop active 2021-04-21 01:25:51.827641
279 InteractiveBrokers-Algo-System https://github.com/rediar/InteractiveBrokers-Algo-System NEW Extended Research 2021-04-22 05:54:16 152.0 64.0 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
280 High-Frequency-Trading-Model-with-IB https://github.com/jamesmawm/High-Frequency-Trading-Model-with-IB NEW Extended Research 2021-04-24 12:44:43 1832.0 546.0 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
281 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
282 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
283 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
284 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
285 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
286 fraud-detection-papers https://github.com/IPL/fraud-detection-papers NEW Extended Research 2021-04-22 02:38:44 129.0 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
287 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
288 fraud-detection-using-machine-learning https://github.com/awslabs/fraud-detection-using-machine-learning NEW Extended Research 2021-04-24 00:11:56 91.0 58.0 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
289 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
290 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
291 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
292 bot18 https://github.com/carlos8f/bot18 NEW Extended Research 2021-04-24 21:46:48 160.0 31.0 2.0 2018-05-23 14:22:25 2018-10-17 08:06:21 carlos8f/bot18 inactive 2021-04-21 01:25:51.827641
293 Krypto-trading-bot https://github.com/ctubio/Krypto-trading-bot NEW Extended Research 2021-04-24 18:06:27 2171.0 593.0 49.0 2017-06-13 20:15:54 2021-04-22 12:34:22 ctubio/Krypto-trading-bot active 2021-04-21 01:25:51.827641
294 Stock-Prediction https://github.com/Ronak-59/Stock-Prediction NEW Factor and Risk Analysis 2021-04-24 09:06:28 130.0 65.0 2.0 2018-03-18 04:54:45 2020-02-28 11:43:07 Ronak-59/Stock-Prediction active 37:06.3
295 Machine_learning_In_Finance https://github.com/chaudharigauravi/Machine_learning_In_Finance NEW Factor and Risk Analysis 2020-11-27 19:23:33 8.0 3.0 1.0 2019-08-03 04:04:51 2019-08-03 04:05:32 chaudharigauravi/Machine_learning_In_Finance active 23:57.7
296 Quant Finance https://github.com/mrefermat/quant_finance General quant repository. Factor and Risk Analysis 2021-04-20 13:01:20 30.0 17.0 1.0 2018-08-11 22:59:53 2019-11-12 04:49:01 mrefermat/quant_finance active
297 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
298 Python for Finance CAPM https://github.com/yhilpisch/py4fi/tree/master/jupyter36 https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%202%2C%20CAPM.ipynb Various financial notebooks. Expected returns using CAPM. Factor and Risk Analysis 2021-04-22 18:43:53 2021-03-01 13:53:42 1298.0 31.0 795.0 19.0 1.0 2014-12-15 11:23:34 2016-05-10 11:03:48 2018-07-10 06:38:12 2016-05-17 03:44:56 yhilpisch/py4fi RJT1990/Active-Portfolio-Management-Notes inactive
299 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
300 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
301 CAPM Various Risk Measures https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%202%2C%20CAPM.ipynb https://github.com/Jorgencr/Alternative-and-Responsible-Investments/blob/master/Final_masterfile.ipynb Expected returns using CAPM. Risk measures and factors for alternative and responsible investments. Factor and Risk Analysis 2021-03-01 13:53:42 2020-11-04 07:04:38 31.0 4.0 19.0 5.0 1.0 2016-05-10 11:03:48 2017-08-07 14:44:32 2016-05-17 03:44:56 2017-08-08 22:52:11 RJT1990/Active-Portfolio-Management-Notes Jorgencr/Alternative-and-Responsible-Investments inactive
302 rating_history Python for Finance https://github.com/govwiki/rating_history https://github.com/yhilpisch/py4fi/tree/master/jupyter36 NEW Various financial notebooks. Fixed Income Factor and Risk Analysis 2021-01-23 06:27:24 2021-04-22 18:43:53 26.0 1298.0 13.0 795.0 1.0 2017-11-23 22:52:14 2014-12-15 11:23:34 2017-12-03 20:42:49 2018-07-10 06:38:12 govwiki/rating_history yhilpisch/py4fi 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 2021-04-24 09:38:45 7.0 1871.0 5.0 707.0 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 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
305 MagentoExtensions Factor Analysis https://github.com/5mehulhelp5/MagentoExtensions 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 2021-02-12 08:45:08 2020-12-21 14:26:46 106.0 3.0 110.0 4.0 2.0 1.0 2014-07-03 05:45:54 2018-03-13 07:39:20 2017-11-24 16:15:49 2018-03-13 07:42:36 5mehulhelp5/MagentoExtensions garvit-kudesia91/factor_analysis inactive 24:33.4
306 Vasicek AlphaTrading https://github.com/RobinsonGarcia/fixed-income/blob/master/2.0%20Vasicek%20-%20example.ipynb https://github.com/jerryxyx/AlphaTrading Bootstrapping and interpolation. NEW Fixed Income Factor and Risk Analysis 2020-12-10 21:20:03 2021-04-14 15:16:22 3.0 150.0 3.0 76.0 1.0 2018-07-18 19:26:54 2018-05-18 22:09:52 2018-07-18 19:34:48 2018-08-07 18:05:37 RobinsonGarcia/fixed-income jerryxyx/AlphaTrading inactive 37:06.3
307 Binomial Tree -L- https://github.com/hy-lei/math-finance-exercise https://github.com/jettbrains/-L- Utility functions in fixed income securities. NEW Fixed Income Factor and Risk Analysis 2020-10-06 20:55:18 2021-03-15 03:05:00 1.0 6.0 2.0 16.0 1.0 2019-02-02 08:44:14 2019-10-28 21:50:26 2019-05-03 17:16:52 2019-10-28 21:51:19 hy-lei/math-finance-toolbox jettbrains/-L- active 23:57.7
308 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
309 Risk and Return https://github.com/PyDataBlog/Python-for-Data-Science/tree/master/Tutorials Riskiness of portfolios and assets. Factor and Risk Analysis 2021-04-22 12:51:46 143.0 61.0 2.0 2017-09-12 13:35:09 2020-08-06 12:35:44 PyDataBlog/Python-for-Data-Science active
310 Factor Analysis https://github.com/alpha-miner/alpha-mind/tree/master/notebooks Factor strategy notebooks. Factor and Risk Analysis 2021-04-23 14:39:27 173.0 60.0 3.0 2017-05-01 07:36:54 2021-04-07 15:25:27 alpha-miner/alpha-mind active
311 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
312 Pyfolio https://github.com/quantopian/pyfolio Portfolio and risk analytics in Python. Factor and Risk Analysis 2021-04-24 19:50:03 3709.0 1168.0 42.0 2015-06-01 15:31:39 2020-02-28 17:30:19 quantopian/pyfolio active
313 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
314 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
315 woe https://github.com/boredbird/woe NEW Fixed Income 2021-04-23 09:58:58 226.0 96.0 1.0 2017-09-11 07:15:04 2018-03-01 10:45:40 boredbird/woe inactive 24:33.4
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 2021-04-23 21:58:44 2020-12-10 21:20:03 1196.0 3.0 225.0 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 Scikit-learn Stock Prediction MagentoExtensions https://github.com/robertmartin8/MachineLearningStocks https://github.com/5mehulhelp5/MagentoExtensions 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 NEW Other Models Fixed Income 2021-04-23 21:47:05 2021-02-12 08:45:08 942.0 106.0 350.0 110.0 2.0 2017-02-12 04:50:44 2014-07-03 05:45:54 2021-02-04 03:48:33 2017-11-24 16:15:49 robertmartin8/MachineLearningStocks 5mehulhelp5/MagentoExtensions active inactive 3.0 24:33.4
318 stock-trading-ml Binomial Tree https://github.com/yacoubb/stock-trading-ml https://github.com/hy-lei/math-finance-exercise 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 Utility functions in fixed income securities. Other Models Fixed Income 2021-04-24 20:05:27 2020-10-06 20:55:18 349.0 1.0 188.0 2.0 1.0 2019-10-10 09:44:02 2019-02-02 08:44:14 2019-10-12 11:38:49 2019-05-03 17:16:52 yacoubb/stock-trading-ml hy-lei/math-finance-toolbox active 3.0 39:24.6
319 Trend Following Corporate Bonds http://inseaddataanalytics.github.io/INSEADAnalytics/ExerciseSet2.html https://github.com/ishank011/gs-quantify-bond-prediction A futures trend following portfolio investment strategy. Predicting the buying and selling volume of the corporate bonds. Other Models 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
320 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 2021-04-23 21:56:53 2021-01-23 06:27:24 2170.0 26.0 685.0 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
321 mosquito market-data https://github.com/miro-ka/mosquito https://github.com/kriasoft/market-data 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 2021-04-24 04:45:17 2020-06-22 10:58:20 225.0 25.0 45.0 20.0 2.0 1.0 2017-06-18 19:57:17 2012-12-07 13:42:48 2021-03-14 22:22:00 2012-12-15 12:10:06 miro-ka/mosquito kriasoft/market-data active inactive 3.0 39:24.6 24:33.4
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 2021-04-24 23:39:19 606.0 390.0 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 2021-04-24 18:01:53 185.0 122.0 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 2021-04-24 03:07:04 283.0 131.0 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 2021-04-24 17:00:55 257.0 112.0 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 55.0 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 2021-04-24 22:00:03 2318.0 717.0 3.0 2019-02-13 16:57:25 2021-04-22 21:04:01 hudson-and-thames/mlfinlab 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 32.0 1.0 2017-03-20 18:54:24 2017-04-25 23:35:20 BlackArbsCEO/Mixture_Models inactive 2.0
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 2021-04-19 09:36:22 581.0 132.0 3.0 2016-02-14 00:47:32 2021-02-08 21:35:40 ScottfreeLLC/AlphaPy active 4.0 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 2021-04-23 16:21:01 1167.0 102.0 8.0 2018-08-20 03:13:31 2019-05-23 14:40:50 kkyon/botflow active 2.0 39:24.6
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 2021-04-24 22:38:25 102.0 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 2021-04-23 12:23:58 388.0 128.0 1.0 2018-07-22 08:14:46 2021-02-17 14:39:30 Hvass-Labs/FinanceOps active 3.0
323 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 08:59:43 261.0 102.0 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
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 2021-04-18 11:13:46 206.0 120.0 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
324 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 2021-04-21 11:37:29 238.0 94.0 1.0 2017-01-17 12:44:52 2017-01-17 12:48:17 AdeelMufti/CryptoBot inactive 2.0 39:24.6
325 Mixture Models II https://github.com/BlackArbsCEO/mixture_model_trading_public Mixture models and stock trading. Other Models 2021-04-24 20:51:53 167.0 74.0 1.0 2017-12-11 17:05:38 2020-05-13 23:50:47 BlackArbsCEO/mixture_model_trading_public active 3.0
326 Awesome-Quant-Machine-Learning-Trading https://github.com/grananqvist/Awesome-Quant-Machine-Learning-Trading curated list of books/online courses/youtube videos/blogs/interviews/papers/code etc. Updates are pretty infrequent Other Models 2021-04-24 20:57:05 1016.0 327.0 3.0 2018-11-05 21:09:06 2020-10-08 16:48:18 grananqvist/Awesome-Quant-Machine-Learning-Trading active 5.0 39:24.6
331 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 2021-04-24 23:11:15 182.0 68.0 9.0 2019-12-29 05:18:07 2021-04-24 23:11:13 DaveSkender/Stock.Indicators active 3.0 39:24.6
332 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 2021-04-19 23:36:31 284.0 118.0 1.0 2018-06-29 21:21:17 2019-02-18 12:34:54 jjakimoto/finance_ml inactive 1.0 39:24.6
333 Pattern-Recognition-for-Forex-Trading https://github.com/PythonProgramming/Pattern-Recognition-for-Forex-Trading repo for article [pattern recognization for forex trading](https://pythonprogramming.net/machine-learning-pattern-recognition-algorithmic-forex-stock-trading/) not very scalable and not maintained Other Models 2021-04-19 08:06:26 175.0 92.0 1.0 2015-03-26 02:22:03 2015-03-26 02:33:51 PythonProgramming/Pattern-Recognition-for-Forex-Trading inactive 1.0 39:24.6
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 2021-04-24 22:38:25 102.0 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 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 2021-04-23 16:21:01 1167.0 102.0 8.0 2018-08-20 03:13:31 2019-05-23 14:40:50 kkyon/botflow active 2.0 39:24.6
336 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 2021-04-18 11:13:46 206.0 120.0 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
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 32.0 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 2021-04-23 21:58:44 1196.0 225.0 6.0 2020-08-30 07:56:22 2020-09-21 04:32:05 tradytics/surpriver active 3.0 39:24.6
339 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 2021-04-19 09:36:22 581.0 132.0 3.0 2016-02-14 00:47:32 2021-02-08 21:35:40 ScottfreeLLC/AlphaPy active 4.0 39:24.6
340 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 2021-04-24 20:05:27 349.0 188.0 1.0 2019-10-10 09:44:02 2019-10-12 11:38:49 yacoubb/stock-trading-ml active 3.0 39:24.6
341 Trend Following http://inseaddataanalytics.github.io/INSEADAnalytics/ExerciseSet2.html A futures trend following portfolio investment strategy. Other Models
342 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 2021-04-23 21:56:53 2170.0 685.0 1.0 2016-09-12 18:38:17 2018-08-29 20:27:19 anfederico/clairvoyant inactive 3.0
343 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 2021-04-24 04:45:17 225.0 45.0 2.0 2017-06-18 19:57:17 2021-03-14 22:22:00 miro-ka/mosquito active 3.0 39:24.6
344 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 2021-04-23 21:47:05 942.0 350.0 2.0 2017-02-12 04:50:44 2021-02-04 03:48:33 robertmartin8/MachineLearningStocks active 3.0
345 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 2021-04-24 18:01:53 185.0 122.0 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
346 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 2021-04-24 03:07:04 283.0 131.0 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
347 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 2021-04-24 17:00:55 257.0 112.0 3.0 2019-09-27 16:13:50 2020-06-13 21:20:26 mfrdixon/ML_Finance_Codes active 3.0 39:24.6
348 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 55.0 1.0 2016-03-11 19:13:00 2020-12-21 03:54:51 melling/MathAndScienceNotes active 3.0 39:24.6
349 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 2021-04-24 22:00:03 2318.0 717.0 3.0 2019-02-13 16:57:25 2021-04-22 21:04:01 hudson-and-thames/mlfinlab active 3.0 39:24.6
350 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 2021-04-24 23:39:19 606.0 390.0 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
351 Machine Learning in Asset Management—Part 1: Portfolio Construction—Trading Strategies https://jfds.pm-research.com/content/2/1/10 Personal Papers
352 Machine Learning in Asset Management https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3420952 Personal Papers
353 Financial Event Prediction using Machine Learning https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3481555 Personal Papers
354 Machine Learning in Asset Management—Part 2: Portfolio Construction—Weight Optimization https://jfds.pm-research.com/content/2/2/17 Personal Papers
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
riskparity.py https://github.com/dppalomar/riskparity.py NEW Portfolio Selection and Optimisation 2021-04-22 02:18:26 127.0 32.0 2.0 2019-07-13 21:30:55 2021-04-16 02:33:54 dppalomar/riskparity.py active 37:19.5
OLMAR Algorithm https://github.com/charlessutton/OLMAR/blob/master/Part3.ipynb Relative importance of each component of the OLMAR algorithm. Portfolio Selection and Optimisation 2021-04-08 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 2021-04-24 21:05:14 102.0 26.0 3.0 2011-09-17 17:49:56 2021-04-05 08:01:12 albertosantini/node-finance active 37:19.5
Reinforcement Learning https://github.com/filangel/qtrader Reinforcement Learning for Portfolio Management. Portfolio Selection and Optimisation 2021-04-23 14:39:29 364.0 150.0 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 2021-04-24 20:03:28 1934.0 490.0 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 2021-04-23 23:56:58 108.0 57.0 1.0 2018-02-17 08:19:46 2018-02-27 13:16:57 tthustla/efficient_frontier inactive
Deep Portfolio Theory https://github.com/tcloaa/Deep-Portfolio-Theory Autoencoder framework for portfolio selection. Portfolio Selection and Optimisation 2021-04-06 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
Policy Gradient Portfolio https://github.com/ZhengyaoJiang/PGPortfolio A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem. Portfolio Selection and Optimisation 2021-04-23 07:23:30 1291.0 629.0 6.0 2017-11-12 16:08:44 2019-05-09 09:50:18 ZhengyaoJiang/PGPortfolio active
355 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 2021-04-24 20:03:25 236.0 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 2021-04-24 20:03:23 314.0 59.0 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
Riskfolio-Lib https://github.com/dcajasn/Riskfolio-Lib NEW Portfolio Selection and Optimisation 2021-04-24 20:03:26 393.0 64.0 1.0 2020-03-02 19:49:06 2021-04-24 06:24:50 dcajasn/Riskfolio-Lib active 37:19.5
356 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
357 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
358 FinBERT Riskfolio-Lib https://github.com/psnonis/FinBERT https://github.com/dcajasn/Riskfolio-Lib NEW Textual Portfolio Selection and Optimisation 2021-04-23 00:52:41 2021-04-24 20:03:26 142.0 393.0 46.0 64.0 3.0 1.0 2019-07-09 16:34:27 2020-03-02 19:49:06 2020-05-19 02:02:20 2021-04-24 06:24:50 psnonis/FinBERT dcajasn/Riskfolio-Lib active 24:28.5 37:19.5
359 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
360 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 2021-04-24 20:03:23 4.0 314.0 3.0 59.0 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
361 awesome-financial-nlp Policy Gradient Portfolio https://github.com/icoxfog417/awesome-financial-nlp https://github.com/ZhengyaoJiang/PGPortfolio NEW A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem. Textual Portfolio Selection and Optimisation 2021-04-20 13:17:45 2021-04-23 07:23:30 227.0 1291.0 36.0 629.0 2.0 6.0 2019-10-03 03:53:20 2017-11-12 16:08:44 2020-02-01 08:28:16 2019-05-09 09:50:18 icoxfog417/awesome-financial-nlp ZhengyaoJiang/PGPortfolio active 24:28.5
362 Buzzwords OLMAR Algorithm https://github.com/swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds https://github.com/charlessutton/OLMAR/blob/master/Part3.ipynb Return performance and mutual fund selection. Relative importance of each component of the OLMAR algorithm. Textual Portfolio Selection and Optimisation 2020-10-06 18:54:58 2021-04-08 19:07:41 1.0 7.0 4.0 1.0 2018-02-04 21:51:16 2016-07-26 16:20:10 2018-02-04 21:57:09 2016-12-30 11:40:53 swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds charlessutton/OLMAR inactive
363 Extensive NLP Efficient Frontier https://github.com/TiesdeKok/Python_NLP_Tutorial/blob/master/NLP_Notebook.ipynb https://github.com/tthustla/efficient_frontier/blob/master/Efficient%20_Frontier_implementation.ipynb Comprehensive NLP techniques for accounting research. Modern Portfolio Theory. Textual Portfolio Selection and Optimisation 2021-04-20 03:13:28 2021-04-23 23:56:58 74.0 108.0 42.0 57.0 1.0 2017-10-25 07:10:26 2018-02-17 08:19:46 2020-06-05 03:28:46 2018-02-27 13:16:57 TiesdeKok/Python_NLP_Tutorial tthustla/efficient_frontier active inactive
364 Accounting Anomalies PyPortfolioOpt https://github.com/GitiHubi/deepAI/blob/master/GTC_2018_Lab-solutions.ipynb https://github.com/robertmartin8/PyPortfolioOpt Using deep-learning frameworks to identify accounting anomalies. Financial portfolio optimisation, including classical efficient frontier and advanced methods. Textual Portfolio Selection and Optimisation 2021-04-12 07:47:50 2021-04-24 20:03:28 110.0 1934.0 51.0 490.0 2.0 17.0 2017-05-24 12:36:38 2018-05-29 13:30:30 2019-08-07 21:47:08 2021-04-13 13:26:27 GitiHubi/deepAI robertmartin8/PyPortfolioOpt active
365 Financial Sentiment Analysis Reinforcement Learning https://github.com/EricHe98/Financial-Statements-Text-Analysis https://github.com/filangel/qtrader Sentiment, distance and proportion analysis for trading signals. Reinforcement Learning for Portfolio Management. Textual Portfolio Selection and Optimisation 2021-04-18 07:54:10 2021-04-23 14:39:29 49.0 364.0 27.0 150.0 1.0 2017-06-23 00:05:49 2017-10-07 09:14:33 2019-01-26 03:35:55 2018-06-26 09:22:27 EricHe98/Financial-Statements-Text-Analysis filangelos/qtrader inactive
366 BDCI2019-Negative_Finance_Info_Judge node-finance https://github.com/A-Rain/BDCI2019-Negative_Finance_Info_Judge https://github.com/albertosantini/node-finance NEW Textual Portfolio Selection and Optimisation 2021-04-19 03:05:28 2021-04-24 21:05:14 108.0 102.0 23.0 26.0 3.0 2019-12-27 03:49:31 2011-09-17 17:49:56 2020-12-04 03:38:57 2021-04-05 08:01:12 A-Rain/BDCI2019-Negative_Finance_Info_Judge albertosantini/node-finance active 24:28.5 37:19.5
367 NLP Event riskparity.py https://github.com/yuriak/DLQuant https://github.com/dppalomar/riskparity.py Applying Deep Learning and NLP in Quantitative Trading. NEW Textual Portfolio Selection and Optimisation 2021-04-01 02:16:38 2021-04-22 02:18:26 70.0 127.0 32.0 1.0 2.0 2018-07-02 23:50:52 2019-07-13 21:30:55 2019-01-31 14:08:20 2021-04-16 02:33:54 yuriak/DLQuant dppalomar/riskparity.py inactive active 37:19.5
368 Earning call transcripts Deep Portfolio Theory https://github.com/lin882/WebAnalyticsProject https://github.com/tcloaa/Deep-Portfolio-Theory Correlation between mutual fund investment decision and earning call transcripts. Autoencoder framework for portfolio selection. Textual Portfolio Selection and Optimisation 2020-12-17 08:24:20 2021-04-06 11:47:13 3.0 105.0 3.0 57.0 1.0 2017-12-30 08:56:03 2017-02-10 09:03:08 2018-01-11 02:11:11 2018-03-08 16:47:00 lin882/WebAnalyticsProject tcloaa/Deep-Portfolio-Theory inactive
FinNLP-Progress https://github.com/YangLinyi/FinNLP-Progress NEW Textual 2021-04-24 09:27:47 163.0 20.0 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 2021-04-20 02:31:00 246.0 117.0 1.0 2017-09-14 02:59:03 2018-06-11 13:47:51 dongyuanxin/news-emotion inactive 24:28.5
NLP https://github.com/toamitesh/NLPinFinance This project assembles a lot of NLP operations needed for finance domain. Textual toamitesh/NLPinFinance
369 Financial Statement Sentiment https://github.com/MAydogdu/TextualAnalysis Extracting sentiment from financial statements using neural networks. Textual 2021-04-21 10:41:38 9.0 7.0 1.0 2018-06-04 20:54:14 2018-06-04 20:56:02 MAydogdu/TextualAnalysis inactive
370 Credit-Card-Fraud-Detection NLP https://github.com/sharmaroshan/Credit-Card-Fraud-Detection https://github.com/toamitesh/NLPinFinance NEW This project assembles a lot of NLP operations needed for finance domain. Unsupervised Textual 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 toamitesh/NLPinFinance inactive 24:29.9
371 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 2021-04-20 02:31:00 4.0 246.0 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
372 PCA Pairs Trading FinNLP-Progress https://github.com/joelQF/quant-finance/tree/master/Artificial_IntelIigence_for_Trading https://github.com/YangLinyi/FinNLP-Progress PCA, Factor Returns, and trading strategies. NEW Unsupervised Textual 2021-04-24 09:27:47 163.0 20.0 5.0 2020-05-21 09:59:56 2021-03-23 08:14:07 joelQF/quant-finance YangLinyi/FinNLP-Progress active 24:28.5
373 Eigen-Portfolio Earning call transcripts https://github.com/Gustrigos/Eigen-Portfolio https://github.com/lin882/WebAnalyticsProject NEW Correlation between mutual fund investment decision and earning call transcripts. Unsupervised Textual 2021-04-20 02:53:00 2020-12-17 08:24:20 36.0 3.0 11.0 3.0 1.0 2018-09-05 05:29:18 2017-12-30 08:56:03 2020-04-09 21:40:04 2018-01-11 02:11:11 Gustrigos/Eigen-Portfolio lin882/WebAnalyticsProject active inactive 24:29.9
374 AnomalyDetectionOnRisk BDCI2019-Negative_Finance_Info_Judge https://github.com/SimonWesterlindVPD/AnomalyDetectionOnRisk https://github.com/A-Rain/BDCI2019-Negative_Finance_Info_Judge NEW Unsupervised Textual 2020-08-25 00:02:49 2021-04-19 03:05:28 11.0 108.0 5.0 23.0 1.0 3.0 2018-05-31 15:53:02 2019-12-27 03:49:31 2018-05-31 16:18:28 2020-12-04 03:38:57 SimonWesterlindVPD/AnomalyDetectionOnRisk A-Rain/BDCI2019-Negative_Finance_Info_Judge inactive active 24:29.9 24:28.5
375 all-classification-templetes-for-ML Financial Sentiment Analysis https://github.com/sayantann11/all-classification-templetes-for-ML https://github.com/EricHe98/Financial-Statements-Text-Analysis NEW Sentiment, distance and proportion analysis for trading signals. Unsupervised Textual 2021-04-12 13:32:32 2021-04-18 07:54:10 22.0 49.0 14.0 27.0 1.0 2020-05-05 10:28:52 2017-06-23 00:05:49 2020-05-05 10:30:32 2019-01-26 03:35:55 sayantann11/all-classification-templetes-for-ML EricHe98/Financial-Statements-Text-Analysis active inactive 24:29.9
376 Industry Clustering NLP Event https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries https://github.com/yuriak/DLQuant Clustering of industries. Applying Deep Learning and NLP in Quantitative Trading. Unsupervised Textual 2020-10-06 18:51:22 2021-04-01 02:16:38 4.0 70.0 5.0 32.0 1.0 2017-07-21 02:12:51 2018-07-02 23:50:52 2017-07-23 02:53:37 2019-01-31 14:08:20 SeanMcOwen/FinanceAndPython.com-ClusteringIndustries yuriak/DLQuant inactive
377 hmm_market_behavior Extensive NLP https://github.com/lamres/hmm_market_behavior https://github.com/TiesdeKok/Python_NLP_Tutorial/blob/master/NLP_Notebook.ipynb NEW Comprehensive NLP techniques for accounting research. Unsupervised Textual 2021-02-20 07:43:59 2021-04-20 03:13:28 25.0 74.0 18.0 42.0 1.0 2019-09-08 17:37:39 2017-10-25 07:10:26 2020-05-10 14:36:03 2020-06-05 03:28:46 lamres/hmm_market_behavior TiesdeKok/Python_NLP_Tutorial active 24:29.9
378 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
379 awesome-financial-nlp https://github.com/icoxfog417/awesome-financial-nlp NEW Textual 2021-04-20 13:17:45 227.0 36.0 2.0 2019-10-03 03:53:20 2020-02-01 08:28:16 icoxfog417/awesome-financial-nlp active 24:28.5
380 Fund classification https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb Fund classification using text mining and NLP. Textual 2021-03-31 02:12:50 4.0 3.0 1.0 2018-04-16 22:18:55 2018-06-07 22:01:32 frechfrechfrech/Mutual-Fund-Market-Clusters inactive
381 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
382 FinBERT https://github.com/psnonis/FinBERT NEW Textual 2021-04-23 00:52:41 142.0 46.0 3.0 2019-07-09 16:34:27 2020-05-19 02:02:20 psnonis/FinBERT active 24:28.5
383 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
384 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
385 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
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 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
389 Eigen-Portfolio https://github.com/Gustrigos/Eigen-Portfolio NEW Unsupervised 2021-04-20 02:53:00 36.0 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 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
392 Fund Clusters https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb Data exploration of fund clusters. Unsupervised 2021-03-31 02:12:50 4.0 3.0 1.0 2018-04-16 22:18:55 2018-06-07 22:01:32 frechfrechfrech/Mutual-Fund-Market-Clusters inactive
393 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
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 2021-04-22 21:41:40 80.0 37.0 0.0 2017-09-05 19:19:19 2017-09-27 20:42:14 marketneutral/pairs-trading-with-ML inactive