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@@ -12,162 +12,183 @@ VC OLS,https://github.com/fionawhitefield/venture-capital-ols/blob/master/sec_pr
Blockchain,https://github.com/nud3l/dInvest,Repository for distributed autonomous investment banking.,Alternative Finance,2021-02-06 07:38:28,12.0,7.0,2.0,2016-09-05 19:12:40,2017-04-24 10:48:56,nud3l/dInvest,inactive,,
Private Equity,https://github.com/TheVinhLuong102/ChicagoBooth-EntrepreneurialFinancePrivateEquity/blob/master/RightNow%20Technologies/RightNow%20Technologies.ipynb,Valuation models.,Alternative Finance,2020-11-26 03:34:45,8.0,6.0,2.0,2016-01-27 21:13:33,2016-03-14 20:03:52,TheVinhLuong102/ChicagoBooth-EntrepreneurialFinancePrivateEquity,inactive,,
pitch-deck,https://github.com/joelparkerhenderson/pitch-deck,NEW,Alternative Finance,2021-06-18 10:06:31,163.0,41.0,2.0,2016-09-17 01:30:26,2021-05-19 19:49:27,joelparkerhenderson/pitch-deck,active,,2021-05-24 02:12:13.615391
Stanford Advanced Financial Technologies,https://fintech.stanford.edu/,Stanford Advanced Financial Technologies Laboratory,Colleges Centers and Departments,,,,,,,,,,
Cornell University,https://www.cornell.edu/,,Colleges Centers and Departments,,,,,,,,,,
NYU FRE,https://engineering.nyu.edu/academics/departments/finance-and-risk-engineering,Finance and Risk Engineering (NYU Tandon),Colleges Centers and Departments,,,,,,,,,,
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,,,,,,,,,,
china-dictatorship,https://github.com/cirosantilli/china-dictatorship,NEW,Courses,2021-06-19 18:52:30,447.0,50.0,4.0,2015-04-02 20:51:50,2021-06-19 18:52:16,cirosantilli/china-dictatorship,active,,2021-04-19 01:25:20.750834
DataCamp,https://github.com/wblakecannon/DataCamp,NEW,Courses,2021-05-15 10:12:20,1167.0,1369.0,28.0,2017-09-18 20:51:08,2020-10-01 20:13:05,wblakecannon/DataCamp,active,,2021-04-19 01:25:20.750834
stanford-cs229,https://github.com/zyxue/stanford-cs229,NEW,Courses,2021-06-15 01:20:29,518.0,295.0,2.0,2017-10-31 23:01:08,2020-01-14 03:24:16,zyxue/stanford-cs229,active,,2021-04-19 01:25:20.750834
DataScienceSpCourseNotes,https://github.com/sux13/DataScienceSpCourseNotes,NEW,Courses,2021-06-11 18:55:39,710.0,2402.0,10.0,2015-03-09 00:51:32,2016-02-16 06:12:54,sux13/DataScienceSpCourseNotes,inactive,,2021-04-19 01:25:20.750834
stanford-cs231,https://github.com/machinelearningnanodegree/stanford-cs231,NEW,Courses,2021-05-18 18:13:19,251.0,122.0,4.0,2016-09-05 01:40:41,2017-02-03 16:46:46,machinelearningnanodegree/stanford-cs231,inactive,,2021-04-19 01:25:20.750834
courses,https://github.com/DataScienceSpecialization/courses,NEW,Courses,2021-06-18 08:26:24,3777.0,30824.0,13.0,2014-01-21 10:22:57,2016-03-16 12:13:44,DataScienceSpecialization/courses,inactive,,2021-04-19 01:25:20.750834
DataScienceCourse,https://github.com/briandalessandro/DataScienceCourse,NEW,Courses,2021-06-18 10:48:03,596.0,740.0,13.0,2014-10-01 08:45:51,2020-12-20 13:03:56,briandalessandro/DataScienceCourse,active,,2021-04-19 01:25:20.750834
ml-workspace,https://github.com/AdicherlaVenkataSai/ml-workspace,NEW,Courses,2021-06-13 08:14:27,269.0,83.0,1.0,2020-07-10 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,2021-06-10 11:26:05,1887.0,774.0,0.0,2015-12-08 00:03:22,2018-10-30 23:49:56,kaleko/CourseraML,inactive,,2021-04-19 01:25:20.750834
competitive-data-science,https://github.com/hse-aml/competitive-data-science,NEW,Courses,2021-05-30 04:46:27,564.0,588.0,9.0,2017-10-28 14:56:44,2020-06-13 13:44:26,hse-aml/competitive-data-science,active,,2021-04-19 01:25:20.750834
datasci_course_materials,https://github.com/uwescience/datasci_course_materials,NEW,Courses,2021-06-16 23:03:00,900.0,2443.0,6.0,2013-04-12 05:54:36,2017-03-21 19:21:02,uwescience/datasci_course_materials,inactive,,2021-04-19 01:25:20.750834
datascience-box,https://github.com/rstudio-education/datascience-box,NEW,Courses,2021-06-18 03:57:44,656.0,255.0,16.0,2017-12-29 22:16:17,2021-05-24 21:56:46,rstudio-education/datascience-box,active,,2021-04-19 01:25:20.750834
DAT8,https://github.com/justmarkham/DAT8,NEW,Courses,2021-06-15 23:11:41,1495.0,987.0,1.0,2015-08-07 03:35:51,2016-04-18 18:34:09,justmarkham/DAT8,inactive,,2021-04-19 01:25:20.750834
Cornell University,https://www.cornell.edu/,,Colleges Centers and Departments,,,,,,,,,,
Stanford Advanced Financial Technologies,https://fintech.stanford.edu/,Stanford Advanced Financial Technologies Laboratory,Colleges Centers and Departments,,,,,,,,,,
NYU FRE,https://engineering.nyu.edu/academics/departments/finance-and-risk-engineering,Finance and Risk Engineering (NYU Tandon),Colleges Centers and Departments,,,,,,,,,,
Introduction-to-Machine-Learning,https://github.com/codeheroku/Introduction-to-Machine-Learning,NEW,Courses,2021-06-14 16:08:20,293.0,777.0,3.0,2019-02-09 12:07:52,2020-11-28 08:44:08,codeheroku/Introduction-to-Machine-Learning,active,,2021-04-19 01:25:20.750834
ppd599,https://github.com/gboeing/ppd599,NEW,Courses,2021-06-17 05:03:08,1084.0,460.0,1.0,2015-09-01 19:59:59,2021-05-12 00:29:25,gboeing/ppd599,active,,2021-04-19 01:25:20.750834
mlcourse,https://github.com/davidrosenberg/mlcourse,NEW,Courses,2021-06-17 17:58:24,411.0,223.0,9.0,2015-10-11 22:18:25,2021-03-14 01:19:08,davidrosenberg/mlcourse,active,,2021-04-19 01:25:20.750834
ml-mipt,https://github.com/girafe-ai/ml-mipt,NEW,Courses,2021-06-17 08:49:54,535.0,382.0,7.0,2019-02-01 16:20:39,2020-11-04 10:56:04,girafe-ai/ml-mipt,active,,2021-04-19 01:25:20.750834
DAT4,https://github.com/justmarkham/DAT4,NEW,Courses,2021-06-02 14:44:28,754.0,658.0,3.0,2014-12-10 19:38:29,2021-02-15 23:26:27,justmarkham/DAT4,active,,2021-04-19 01:25:20.750834
machine-learning-coursera,https://github.com/yhyap/machine-learning-coursera,NEW,Courses,2021-06-14 01:21:25,230.0,196.0,1.0,2013-05-03 09:41:53,2013-05-05 11:58:38,yhyap/machine-learning-coursera,inactive,,2021-04-19 01:25:20.750834
stat479-machine-learning-fs19,https://github.com/rasbt/stat479-machine-learning-fs19,NEW,Courses,2021-06-03 04:03:48,651.0,225.0,1.0,2019-08-07 07:36:20,2020-11-28 00:04:07,rasbt/stat479-machine-learning-fs19,active,,2021-04-19 01:25:20.750834
stat479-machine-learning-fs18,https://github.com/rasbt/stat479-machine-learning-fs18,NEW,Courses,2021-06-04 08:22:41,423.0,207.0,1.0,2018-09-06 00:30:56,2018-12-20 23:45:13,rasbt/stat479-machine-learning-fs18,inactive,,2021-04-19 01:25:20.750834
Artificial-Intelligence-and-Machine-Learning,https://github.com/emilmont/Artificial-Intelligence-and-Machine-Learning,NEW,Courses,2021-06-14 01:21:23,514.0,301.0,1.0,2011-10-16 22:51:06,2013-07-20 18:21:51,emilmont/Artificial-Intelligence-and-Machine-Learning,inactive,,2021-04-19 01:25:20.750834
MTH594_MachineLearning,https://github.com/diefimov/MTH594_MachineLearning,NEW,Courses,2021-06-18 17:45:58,332.0,135.0,1.0,2016-03-09 07:35:19,2017-03-31 21:46:26,diefimov/MTH594_MachineLearning,inactive,,2021-04-19 01:25:20.750834
Machine-Learning-by-Andrew-Ng-in-Python,https://github.com/Benlau93/Machine-Learning-by-Andrew-Ng-in-Python,NEW,Courses,2021-06-08 19:54:11,248.0,200.0,1.0,2018-12-06 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,2021-06-15 15:25:30,376.0,329.0,1.0,2016-08-20 18:05:22,2016-09-05 19:14:41,AvaisP/machine-learning-programming-assignments-coursera-andrew-ng,inactive,,2021-04-19 01:25:20.750834
machine-learning-resources,https://github.com/datascienceid/machine-learning-resources,NEW,Courses,2021-06-15 07:41:23,244.0,89.0,4.0,2018-04-09 15:10:08,2019-07-30 14:25:27,datascienceid/machine-learning-resources,active,,2021-04-19 01:25:20.750834
ML_course,https://github.com/epfml/ML_course,NEW,Courses,2021-06-16 14:31:13,656.0,516.0,1.0,2016-07-13 15:37:38,2021-06-08 13:49:10,epfml/ML_course,active,,2021-04-19 01:25:20.750834
awesome-ml-courses,https://github.com/luspr/awesome-ml-courses,NEW,Courses,2021-06-18 16:55:27,2011.0,221.0,4.0,2020-05-08 20:41:59,2021-02-18 20:26:31,luspr/awesome-ml-courses,active,,2021-04-19 01:25:20.750834
zero-to-mastery-ml,https://github.com/mrdbourke/zero-to-mastery-ml,NEW,Courses,2021-06-18 21:31:29,759.0,1327.0,15.0,2019-09-23 04:56:51,2021-06-09 00:10:06,mrdbourke/zero-to-mastery-ml,active,,2021-04-19 01:25:20.750834
machine-learning-notebooks,https://github.com/krasserm/machine-learning-notebooks,NEW,Courses,2021-06-11 17:03:50,299.0,126.0,1.0,2017-07-24 10:21:05,2020-09-07 12:48:43,krasserm/machine-learning-notebooks,active,,2021-04-19 01:25:20.750834
JSE_OkCupid,https://github.com/rudeboybert/JSE_OkCupid,NEW,Courses,2021-06-18 09:39:11,210.0,62.0,1.0,2015-03-28 08:38:27,2021-04-26 18:35:26,rudeboybert/JSE_OkCupid,active,,2021-04-19 01:25:20.750834
ml-course-msu,https://github.com/esokolov/ml-course-msu,NEW,Courses,2021-06-16 14:03:55,769.0,303.0,1.0,2015-09-11 08:51:24,2018-05-07 15:40:56,esokolov/ml-course-msu,inactive,,2021-04-19 01:25:20.750834
machine-learning-coursera-1,https://github.com/Borye/machine-learning-coursera-1,NEW,Courses,2021-06-16 04:21:36,1111.0,937.0,1.0,2014-08-28 10:48:18,2014-06-17 10:37:27,Borye/machine-learning-coursera-1,inactive,,2021-04-19 01:25:20.750834
Udemy---Machine-Learning,https://github.com/jmportilla/Udemy---Machine-Learning,NEW,Courses,2021-06-15 09:17:29,208.0,408.0,3.0,2015-04-27 22:44:40,2016-07-06 23:58:33,jmportilla/Udemy---Machine-Learning,inactive,,2021-04-19 01:25:20.750834
tensorflow-without-a-phd,https://github.com/GoogleCloudPlatform/tensorflow-without-a-phd,NEW,Courses,2021-06-20 01:08:32,2410.0,842.0,11.0,2018-05-09 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,2021-06-08 10:13:19,261.0,516.0,3.0,2018-07-18 04:24:58,2020-07-02 09:24:40,coding-blocks-archives/machine-learning-online-2018,active,,2021-04-19 01:25:20.750834
deploying-machine-learning-models,https://github.com/trainindata/deploying-machine-learning-models,NEW,Courses,2021-06-18 11:53:57,310.0,2892.0,2.0,2019-01-09 20:30:46,2021-06-18 11:53:49,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,2021-06-19 19:40:48,10581.0,1940.0,30.0,2015-02-22 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,2021-06-18 13:39:40,6674.0,1223.0,9.0,2019-02-15 00:23:19,2020-04-21 03:19:12,instillai/machine-learning-course,active,,2021-04-19 01:25:20.750834
master,https://github.com/ML-course/master,NEW,Courses,2021-06-03 03:57:21,341.0,174.0,11.0,2017-02-04 22:44:35,2021-04-23 22:36:34,ML-course/master,active,,2021-04-19 01:25:20.750834
Stanford-Machine-Learning-Course,https://github.com/zhouxc/Stanford-Machine-Learning-Course,NEW,Courses,2021-05-14 04:03:06,512.0,365.0,1.0,2011-12-25 10:00:48,2011-12-25 10:01:12,zhouxc/Stanford-Machine-Learning-Course,inactive,,2021-04-19 01:25:20.750834
DP100,https://github.com/MicrosoftLearning/DP100,NEW,Courses,2021-06-18 07:24:23,501.0,517.0,2.0,2020-01-06 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,2021-05-17 01:31:57,309.0,765.0,4.0,2014-07-21 22:46:20,2014-12-17 14:37:02,cs109/2014,inactive,,2021-04-19 01:25:20.750834
Coursera-Stanford-ML-Python,https://github.com/mstampfer/Coursera-Stanford-ML-Python,NEW,Courses,2021-05-31 14:10:47,407.0,232.0,3.0,2015-10-28 19:51:00,2016-09-02 00:21:30,mstampfer/Coursera-Stanford-ML-Python,inactive,,2021-04-19 01:25:20.750834
DAT3,https://github.com/justmarkham/DAT3,NEW,Courses,2021-06-16 15:25:59,626.0,372.0,4.0,2014-09-18 20:30:19,2020-05-19 09:21:02,justmarkham/DAT3,active,,2021-04-19 01:25:20.750834
ciml,https://github.com/hal3/ciml,NEW,Courses,2021-06-16 14:13:56,781.0,219.0,2.0,2015-08-12 19:26:00,2017-01-20 16:24:19,hal3/ciml,inactive,,2021-04-19 01:25:20.750834
DAT7,https://github.com/justmarkham/DAT7,NEW,Courses,2021-05-31 19:56:04,227.0,199.0,1.0,2015-05-16 02:29:54,2016-03-18 16:20:30,justmarkham/DAT7,inactive,,2021-04-19 01:25:20.750834
MachineLearningWithPython,https://github.com/JerryKurata/MachineLearningWithPython,NEW,Courses,2021-06-16 06:21:31,230.0,348.0,1.0,2016-04-24 21:20:10,2021-04-15 18:17:30,JerryKurata/MachineLearningWithPython,active,,2021-04-19 01:25:20.750834
mlcourse.ai,https://github.com/Yorko/mlcourse.ai,NEW,Courses,2021-06-19 18:51:09,7677.0,5063.0,190.0,2017-02-27 08:32:20,2021-05-25 11:07:37,Yorko/mlcourse.ai,active,,2021-04-19 01:25:20.750834
Online-Courses-Learning,https://github.com/MrinmoiHossain/Online-Courses-Learning,NEW,Courses,2021-06-18 18:34:02,201.0,394.0,1.0,2018-08-12 18:52:29,2019-07-14 21:07:56,MrinmoiHossain/Online-Courses-Learning,active,,2021-06-21 01:58:47.497649
Developing_Data_Products,https://github.com/DataScienceSpecialization/Developing_Data_Products,NEW,Courses,2021-05-20 13:53:17,200.0,1285.0,2.0,2016-08-25 19:47:39,2017-07-31 15:11:59,DataScienceSpecialization/Developing_Data_Products,inactive,,2021-05-24 02:12:43.928732
DataScience,https://github.com/JuliaAcademy/DataScience,NEW,Courses,2021-06-19 17:09:28,276.0,145.0,5.0,2020-05-21 01:26:52,2021-06-19 17:09:20,JuliaAcademy/DataScience,active,,2021-04-19 01:25:20.750834
PythonNumericalDemos,https://github.com/GeostatsGuy/PythonNumericalDemos,NEW,Courses,2021-06-18 21:43:30,273.0,198.0,1.0,2017-10-13 15:44:06,2021-06-09 19:08:00,GeostatsGuy/PythonNumericalDemos,active,,2021-04-19 01:25:20.750834
DAT8,https://github.com/justmarkham/DAT8,NEW,Courses,2021-06-15 23:11:41,1495.0,987.0,1.0,2015-08-07 03:35:51,2016-04-18 18:34:09,justmarkham/DAT8,inactive,,2021-04-19 01:25:20.750834
datascience-box,https://github.com/rstudio-education/datascience-box,NEW,Courses,2021-06-18 03:57:44,656.0,255.0,16.0,2017-12-29 22:16:17,2021-05-24 21:56:46,rstudio-education/datascience-box,active,,2021-04-19 01:25:20.750834
datasci_course_materials,https://github.com/uwescience/datasci_course_materials,NEW,Courses,2021-06-16 23:03:00,900.0,2443.0,6.0,2013-04-12 05:54:36,2017-03-21 19:21:02,uwescience/datasci_course_materials,inactive,,2021-04-19 01:25:20.750834
competitive-data-science,https://github.com/hse-aml/competitive-data-science,NEW,Courses,2021-05-30 04:46:27,564.0,588.0,9.0,2017-10-28 14:56:44,2020-06-13 13:44:26,hse-aml/competitive-data-science,active,,2021-04-19 01:25:20.750834
CourseraML,https://github.com/kaleko/CourseraML,NEW,Courses,2021-06-10 11:26:05,1887.0,774.0,0.0,2015-12-08 00:03:22,2018-10-30 23:49:56,kaleko/CourseraML,inactive,,2021-04-19 01:25:20.750834
ml-workspace,https://github.com/AdicherlaVenkataSai/ml-workspace,NEW,Courses,2021-06-13 08:14:27,269.0,83.0,1.0,2020-07-10 06:38:10,2020-09-23 18:16:09,AdicherlaVenkataSai/ml-workspace,active,,2021-04-19 01:25:20.750834
DataScienceCourse,https://github.com/briandalessandro/DataScienceCourse,NEW,Courses,2021-06-18 10:48:03,596.0,740.0,13.0,2014-10-01 08:45:51,2020-12-20 13:03:56,briandalessandro/DataScienceCourse,active,,2021-04-19 01:25:20.750834
courses,https://github.com/DataScienceSpecialization/courses,NEW,Courses,2021-06-18 08:26:24,3777.0,30824.0,13.0,2014-01-21 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,2021-05-18 18:13:19,251.0,122.0,4.0,2016-09-05 01:40:41,2017-02-03 16:46:46,machinelearningnanodegree/stanford-cs231,inactive,,2021-04-19 01:25:20.750834
DataScienceSpCourseNotes,https://github.com/sux13/DataScienceSpCourseNotes,NEW,Courses,2021-06-11 18:55:39,710.0,2402.0,10.0,2015-03-09 00:51:32,2016-02-16 06:12:54,sux13/DataScienceSpCourseNotes,inactive,,2021-04-19 01:25:20.750834
stanford-cs229,https://github.com/zyxue/stanford-cs229,NEW,Courses,2021-06-15 01:20:29,518.0,295.0,2.0,2017-10-31 23:01:08,2020-01-14 03:24:16,zyxue/stanford-cs229,active,,2021-04-19 01:25:20.750834
DataCamp,https://github.com/wblakecannon/DataCamp,NEW,Courses,2021-05-15 10:12:20,1167.0,1369.0,28.0,2017-09-18 20:51:08,2020-10-01 20:13:05,wblakecannon/DataCamp,active,,2021-04-19 01:25:20.750834
china-dictatorship,https://github.com/cirosantilli/china-dictatorship,NEW,Courses,2021-06-19 18:52:30,447.0,50.0,4.0,2015-04-02 20:51:50,2021-06-19 18:52:16,cirosantilli/china-dictatorship,active,,2021-04-19 01:25:20.750834
Play-with-Machine-Learning-Algorithms,https://github.com/liuyubobobo/Play-with-Machine-Learning-Algorithms,NEW,Courses,2021-06-16 11:35:53,1063.0,568.0,1.0,2017-10-17 23:13:24,2020-11-10 08:26:50,liuyubobobo/Play-with-Machine-Learning-Algorithms,active,,2021-04-19 01:25:20.750834
datasciencecoursera,https://github.com/mGalarnyk/datasciencecoursera,NEW,Courses,2021-06-19 11:55:13,1780.0,1824.0,8.0,2016-12-27 03:59:24,2021-02-19 04:16:58,mGalarnyk/datasciencecoursera,active,,2021-04-19 01:25:20.750834
coursera-deep-learning-specialization,https://github.com/amanchadha/coursera-deep-learning-specialization,NEW,Courses,2021-06-19 22:18:52,351.0,380.0,1.0,2020-06-24 05:59:01,2021-04-03 23:18:17,amanchadha/coursera-deep-learning-specialization,active,,2021-04-19 01:25:20.750834
OptML_course,https://github.com/epfml/OptML_course,NEW,Courses,2021-06-15 08:11:02,449.0,154.0,10.0,2018-02-21 19:06:55,2021-06-15 08:10:53,epfml/OptML_course,active,,2021-04-19 01:25:20.750834
PythonNumericalDemos,https://github.com/GeostatsGuy/PythonNumericalDemos,NEW,Courses,2021-06-18 21:43:30,273.0,198.0,1.0,2017-10-13 15:44:06,2021-06-09 19:08:00,GeostatsGuy/PythonNumericalDemos,active,,2021-04-19 01:25:20.750834
Mathematical Finance,https://github.com/yadongli/nyumath2048,NYU Math-GA 2048: Scientific Computing in Finance.,Courses,2021-06-14 05:19:13,70.0,65.0,6.0,2015-01-25 21:10:37,2020-03-25 04:24:25,yadongli/nyumath2048,active,,
Basic Investments,https://github.com/SeanMcOwen/FinanceAndPython.com-Investments,Basic investment tools in python.,Courses,2021-03-23 06:32:10,9.0,7.0,1.0,2017-08-02 21:52:19,2017-08-17 03:24:53,SeanMcOwen/FinanceAndPython.com-Investments,inactive,,
Handson Python for Finance,https://github.com/PacktPublishing/Hands-on-Python-for-Finance,Hands-on Python for Finance published by Packt.,Courses,2021-06-18 02:55:28,142.0,113.0,3.0,2018-08-20 14:10:37,2021-01-15 08:57:06,PacktPublishing/Hands-on-Python-for-Finance,active,,
Risk Management,https://github.com/andrey-lukyanov/Risk-Management,Finance risk engagement course resources.,Courses,2021-04-20 08:29:36,8.0,5.0,3.0,2018-10-03 16:26:14,2018-12-13 08:04:15,andrey-lukyanov/Risk-Management,inactive,,
Basic Derivatives,https://github.com/SeanMcOwen/FinanceAndPython.com-Derivatives,Basic forward contracts and hedging.,Courses,2021-03-31 02:08:39,4.0,4.0,1.0,2017-08-24 00:11:37,2017-10-13 01:32:23,SeanMcOwen/FinanceAndPython.com-Derivatives,inactive,,
Algo Trading,https://github.com/JCreeks/Machine-Learning-in-Finance/tree/master/0_Intro_to_Algo_Trading,Intro to algo trading.,Courses,2021-05-17 01:37:14,65.0,25.0,1.0,2017-10-29 20:34:54,2019-01-22 06:56:08,JCreeks/Machine-Learning-in-Finance,inactive,,
Python for Finance,https://github.com/siaen/python_finance_course,CEU python for finance course material.,Courses,2021-04-28 18:10:55,17.0,15.0,4.0,2017-12-12 11:54:46,2020-02-25 20:31:41,siaen/python_finance_course,active,,
Data-Science-Free,https://github.com/frontbenchHQ/Data-Science-Free,NEW,Courses,2021-06-19 20:38:56,236.0,163.0,4.0,2019-02-10 14:29:29,2020-07-13 06:36:25,frontbenchHQ/Data-Science-Free,active,,2021-04-19 01:25:20.750834
PyMLSlides,https://github.com/dmitriydligach/PyMLSlides,NEW,Courses,2021-05-23 19:18:37,279.0,118.0,0.0,2017-06-05 13:59:15,2020-10-06 21:34:43,dmitriydligach/PyMLSlides,active,,2021-04-19 01:25:20.750834
python-seminar,https://github.com/profjsb/python-seminar,NEW,Courses,2021-06-02 04:00:21,303.0,146.0,11.0,2012-08-23 03:30:01,2020-04-30 20:43:47,profjsb/python-seminar,active,,2021-04-19 01:25:20.750834
causalML,https://github.com/altdeep/causalML,NEW,Courses,2021-06-19 13:15:21,419.0,123.0,32.0,2018-12-17 05:22:47,2021-04-15 20:37:28,altdeep/causalML,active,,2021-04-19 01:25:20.750834
ML Specialisation,https://github.com/Ahmed0028/Machine-Learning-and-Reinforcement-Learning-in-Finance-Specialization,Machine Learning in Finance.,Courses,2021-04-05 13:37:33,34.0,34.0,1.0,2019-01-24 02:55:01,2020-01-03 21:54:16,Ahmed0028/Machine-Learning-and-Reinforcement-Learning-in-Finance-Specialization,active,,
Machine Learning for Trading,https://github.com/stefan-jansen/machine-learning-for-trading,"Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading.",Courses,2021-06-19 22:04:47,4216.0,1424.0,9.0,2018-05-09 12:33:08,2021-06-07 16:40:30,stefan-jansen/machine-learning-for-trading,active,,
course-resources-ml-with-experts-budgets,https://github.com/datacamp/course-resources-ml-with-experts-budgets,NEW,Courses,2021-06-19 22:52:53,467.0,584.0,2.0,2017-03-02 13:10:27,2017-12-14 20:46:54,datacamp/course-resources-ml-with-experts-budgets,inactive,,2021-04-19 01:25:20.750834
Basic Finance,https://github.com/SeanMcOwen/FinanceAndPython.com-BasicFinance,Source code notebooks basic finance applications.,Courses,2021-03-31 02:09:16,10.0,9.0,1.0,2017-05-06 02:39:05,2017-06-21 04:04:09,SeanMcOwen/FinanceAndPython.com-BasicFinance,inactive,,
OptML_course,https://github.com/epfml/OptML_course,NEW,Courses,2021-06-15 08:11:02,449.0,154.0,10.0,2018-02-21 19:06:55,2021-06-15 08:10:53,epfml/OptML_course,active,,2021-04-19 01:25:20.750834
Intro,https://github.com/rstudio/Intro,NEW,Courses,2021-05-01 17:06:45,230.0,296.0,1.0,2014-11-11 20:45:33,2014-11-12 13:42:32,rstudio/Intro,inactive,,2021-04-19 01:25:20.750834
Octave,https://github.com/schneems/Octave,NEW,Courses,2021-06-18 09:35:33,786.0,497.0,1.0,2011-10-24 23:50:52,2016-07-08 20:45:40,schneems/Octave,inactive,,2021-04-19 01:25:20.750834
Basic Finance,https://github.com/SeanMcOwen/FinanceAndPython.com-BasicFinance,Source code notebooks basic finance applications.,Courses,2021-03-31 02:09:16,10.0,9.0,1.0,2017-05-06 02:39:05,2017-06-21 04:04:09,SeanMcOwen/FinanceAndPython.com-BasicFinance,inactive,,
course-resources-ml-with-experts-budgets,https://github.com/datacamp/course-resources-ml-with-experts-budgets,NEW,Courses,2021-06-19 22:52:53,467.0,584.0,2.0,2017-03-02 13:10:27,2017-12-14 20:46:54,datacamp/course-resources-ml-with-experts-budgets,inactive,,2021-04-19 01:25:20.750834
Machine Learning for Trading,https://github.com/stefan-jansen/machine-learning-for-trading,"Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading.",Courses,2021-06-19 22:04:47,4216.0,1424.0,9.0,2018-05-09 12:33:08,2021-06-07 16:40:30,stefan-jansen/machine-learning-for-trading,active,,
ML Specialisation,https://github.com/Ahmed0028/Machine-Learning-and-Reinforcement-Learning-in-Finance-Specialization,Machine Learning in Finance.,Courses,2021-04-05 13:37:33,34.0,34.0,1.0,2019-01-24 02:55:01,2020-01-03 21:54:16,Ahmed0028/Machine-Learning-and-Reinforcement-Learning-in-Finance-Specialization,active,,
causalML,https://github.com/altdeep/causalML,NEW,Courses,2021-06-19 13:15:21,419.0,123.0,32.0,2018-12-17 05:22:47,2021-04-15 20:37:28,altdeep/causalML,active,,2021-04-19 01:25:20.750834
python-seminar,https://github.com/profjsb/python-seminar,NEW,Courses,2021-06-02 04:00:21,303.0,146.0,11.0,2012-08-23 03:30:01,2020-04-30 20:43:47,profjsb/python-seminar,active,,2021-04-19 01:25:20.750834
Developing_Data_Products,https://github.com/DataScienceSpecialization/Developing_Data_Products,NEW,Courses,2021-05-20 13:53:17,200.0,1285.0,2.0,2016-08-25 19:47:39,2017-07-31 15:11:59,DataScienceSpecialization/Developing_Data_Products,inactive,,2021-05-24 02:12:43.928732
Play-with-Machine-Learning-Algorithms,https://github.com/liuyubobobo/Play-with-Machine-Learning-Algorithms,NEW,Courses,2021-06-16 11:35:53,1063.0,568.0,1.0,2017-10-17 23:13:24,2020-11-10 08:26:50,liuyubobobo/Play-with-Machine-Learning-Algorithms,active,,2021-04-19 01:25:20.750834
mlcourse.ai,https://github.com/Yorko/mlcourse.ai,NEW,Courses,2021-06-19 18:51:09,7677.0,5063.0,190.0,2017-02-27 08:32:20,2021-05-25 11:07:37,Yorko/mlcourse.ai,active,,2021-04-19 01:25:20.750834
Stanford-Machine-Learning-Course,https://github.com/zhouxc/Stanford-Machine-Learning-Course,NEW,Courses,2021-05-14 04:03:06,512.0,365.0,1.0,2011-12-25 10:00:48,2011-12-25 10:01:12,zhouxc/Stanford-Machine-Learning-Course,inactive,,2021-04-19 01:25:20.750834
ML_course,https://github.com/epfml/ML_course,NEW,Courses,2021-06-16 14:31:13,656.0,516.0,1.0,2016-07-13 15:37:38,2021-06-08 13:49:10,epfml/ML_course,active,,2021-04-19 01:25:20.750834
machine-learning-resources,https://github.com/datascienceid/machine-learning-resources,NEW,Courses,2021-06-15 07:41:23,244.0,89.0,4.0,2018-04-09 15:10:08,2019-07-30 14:25:27,datascienceid/machine-learning-resources,active,,2021-04-19 01:25:20.750834
machine-learning-programming-assignments-coursera-andrew-ng,https://github.com/AvaisP/machine-learning-programming-assignments-coursera-andrew-ng,NEW,Courses,2021-06-15 15:25:30,376.0,329.0,1.0,2016-08-20 18:05:22,2016-09-05 19:14:41,AvaisP/machine-learning-programming-assignments-coursera-andrew-ng,inactive,,2021-04-19 01:25:20.750834
Machine-Learning-by-Andrew-Ng-in-Python,https://github.com/Benlau93/Machine-Learning-by-Andrew-Ng-in-Python,NEW,Courses,2021-06-08 19:54:11,248.0,200.0,1.0,2018-12-06 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
MTH594_MachineLearning,https://github.com/diefimov/MTH594_MachineLearning,NEW,Courses,2021-06-18 17:45:58,332.0,135.0,1.0,2016-03-09 07:35:19,2017-03-31 21:46:26,diefimov/MTH594_MachineLearning,inactive,,2021-04-19 01:25:20.750834
Artificial-Intelligence-and-Machine-Learning,https://github.com/emilmont/Artificial-Intelligence-and-Machine-Learning,NEW,Courses,2021-06-14 01:21:23,514.0,301.0,1.0,2011-10-16 22:51:06,2013-07-20 18:21:51,emilmont/Artificial-Intelligence-and-Machine-Learning,inactive,,2021-04-19 01:25:20.750834
stat479-machine-learning-fs18,https://github.com/rasbt/stat479-machine-learning-fs18,NEW,Courses,2021-06-04 08:22:41,423.0,207.0,1.0,2018-09-06 00:30:56,2018-12-20 23:45:13,rasbt/stat479-machine-learning-fs18,inactive,,2021-04-19 01:25:20.750834
zero-to-mastery-ml,https://github.com/mrdbourke/zero-to-mastery-ml,NEW,Courses,2021-06-18 21:31:29,759.0,1327.0,15.0,2019-09-23 04:56:51,2021-06-09 00:10:06,mrdbourke/zero-to-mastery-ml,active,,2021-04-19 01:25:20.750834
stat479-machine-learning-fs19,https://github.com/rasbt/stat479-machine-learning-fs19,NEW,Courses,2021-06-03 04:03:48,651.0,225.0,1.0,2019-08-07 07:36:20,2020-11-28 00:04:07,rasbt/stat479-machine-learning-fs19,active,,2021-04-19 01:25:20.750834
machine-learning-coursera,https://github.com/yhyap/machine-learning-coursera,NEW,Courses,2021-06-14 01:21:25,230.0,196.0,1.0,2013-05-03 09:41:53,2013-05-05 11:58:38,yhyap/machine-learning-coursera,inactive,,2021-04-19 01:25:20.750834
DAT4,https://github.com/justmarkham/DAT4,NEW,Courses,2021-06-02 14:44:28,754.0,658.0,3.0,2014-12-10 19:38:29,2021-02-15 23:26:27,justmarkham/DAT4,active,,2021-04-19 01:25:20.750834
ml-mipt,https://github.com/girafe-ai/ml-mipt,NEW,Courses,2021-06-17 08:49:54,535.0,382.0,7.0,2019-02-01 16:20:39,2020-11-04 10:56:04,girafe-ai/ml-mipt,active,,2021-04-19 01:25:20.750834
mlcourse,https://github.com/davidrosenberg/mlcourse,NEW,Courses,2021-06-17 17:58:24,411.0,223.0,9.0,2015-10-11 22:18:25,2021-03-14 01:19:08,davidrosenberg/mlcourse,active,,2021-04-19 01:25:20.750834
ppd599,https://github.com/gboeing/ppd599,NEW,Courses,2021-06-17 05:03:08,1084.0,460.0,1.0,2015-09-01 19:59:59,2021-05-12 00:29:25,gboeing/ppd599,active,,2021-04-19 01:25:20.750834
Introduction-to-Machine-Learning,https://github.com/codeheroku/Introduction-to-Machine-Learning,NEW,Courses,2021-06-14 16:08:20,293.0,777.0,3.0,2019-02-09 12:07:52,2020-11-28 08:44:08,codeheroku/Introduction-to-Machine-Learning,active,,2021-04-19 01:25:20.750834
awesome-ml-courses,https://github.com/luspr/awesome-ml-courses,NEW,Courses,2021-06-18 16:55:27,2011.0,221.0,4.0,2020-05-08 20:41:59,2021-02-18 20:26:31,luspr/awesome-ml-courses,active,,2021-04-19 01:25:20.750834
machine-learning-notebooks,https://github.com/krasserm/machine-learning-notebooks,NEW,Courses,2021-06-11 17:03:50,299.0,126.0,1.0,2017-07-24 10:21:05,2020-09-07 12:48:43,krasserm/machine-learning-notebooks,active,,2021-04-19 01:25:20.750834
MachineLearningWithPython,https://github.com/JerryKurata/MachineLearningWithPython,NEW,Courses,2021-06-16 06:21:31,230.0,348.0,1.0,2016-04-24 21:20:10,2021-04-15 18:17:30,JerryKurata/MachineLearningWithPython,active,,2021-04-19 01:25:20.750834
ml-course-msu,https://github.com/esokolov/ml-course-msu,NEW,Courses,2021-06-16 14:03:55,769.0,303.0,1.0,2015-09-11 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,2021-05-31 19:56:04,227.0,199.0,1.0,2015-05-16 02:29:54,2016-03-18 16:20:30,justmarkham/DAT7,inactive,,2021-04-19 01:25:20.750834
ciml,https://github.com/hal3/ciml,NEW,Courses,2021-06-16 14:13:56,781.0,219.0,2.0,2015-08-12 19:26:00,2017-01-20 16:24:19,hal3/ciml,inactive,,2021-04-19 01:25:20.750834
DAT3,https://github.com/justmarkham/DAT3,NEW,Courses,2021-06-16 15:25:59,626.0,372.0,4.0,2014-09-18 20:30:19,2020-05-19 09:21:02,justmarkham/DAT3,active,,2021-04-19 01:25:20.750834
Coursera-Stanford-ML-Python,https://github.com/mstampfer/Coursera-Stanford-ML-Python,NEW,Courses,2021-05-31 14:10:47,407.0,232.0,3.0,2015-10-28 19:51:00,2016-09-02 00:21:30,mstampfer/Coursera-Stanford-ML-Python,inactive,,2021-04-19 01:25:20.750834
2014,https://github.com/cs109/2014,NEW,Courses,2021-05-17 01:31:57,309.0,765.0,4.0,2014-07-21 22:46:20,2014-12-17 14:37:02,cs109/2014,inactive,,2021-04-19 01:25:20.750834
DP100,https://github.com/MicrosoftLearning/DP100,NEW,Courses,2021-06-18 07:24:23,501.0,517.0,2.0,2020-01-06 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,2021-06-18 09:39:11,210.0,62.0,1.0,2015-03-28 08:38:27,2021-04-26 18:35:26,rudeboybert/JSE_OkCupid,active,,2021-04-19 01:25:20.750834
master,https://github.com/ML-course/master,NEW,Courses,2021-06-03 03:57:21,341.0,174.0,11.0,2017-02-04 22:44:35,2021-04-23 22:36:34,ML-course/master,active,,2021-04-19 01:25:20.750834
machine-learning-course,https://github.com/instillai/machine-learning-course,NEW,Courses,2021-06-18 13:39:40,6674.0,1223.0,9.0,2019-02-15 00:23:19,2020-04-21 03:19:12,instillai/machine-learning-course,active,,2021-04-19 01:25:20.750834
dive-into-machine-learning,https://github.com/hangtwenty/dive-into-machine-learning,NEW,Courses,2021-06-19 19:40:48,10581.0,1940.0,30.0,2015-02-22 23:48:16,2021-03-15 05:34:55,hangtwenty/dive-into-machine-learning,active,,2021-04-19 01:25:20.750834
deploying-machine-learning-models,https://github.com/trainindata/deploying-machine-learning-models,NEW,Courses,2021-06-18 11:53:57,310.0,2892.0,2.0,2019-01-09 20:30:46,2021-06-18 11:53:49,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,2021-06-08 10:13:19,261.0,516.0,3.0,2018-07-18 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,2021-06-20 01:08:32,2410.0,842.0,11.0,2018-05-09 18:33:40,2020-06-03 21:08:32,GoogleCloudPlatform/tensorflow-without-a-phd,active,,2021-04-19 01:25:20.750834
Udemy---Machine-Learning,https://github.com/jmportilla/Udemy---Machine-Learning,NEW,Courses,2021-06-15 09:17:29,208.0,408.0,3.0,2015-04-27 22:44:40,2016-07-06 23:58:33,jmportilla/Udemy---Machine-Learning,inactive,,2021-04-19 01:25:20.750834
machine-learning-coursera-1,https://github.com/Borye/machine-learning-coursera-1,NEW,Courses,2021-06-16 04:21:36,1111.0,937.0,1.0,2014-08-28 10:48:18,2014-06-17 10:37:27,Borye/machine-learning-coursera-1,inactive,,2021-04-19 01:25:20.750834
Open Edgar,https://github.com/LexPredict/openedgar,,Data,2021-06-05 05:08:02,180.0,64.0,6.0,2018-05-07 15:32:31,2019-05-15 08:32:30,LexPredict/openedgar,inactive,,
SEC Parsing,https://github.com/healthgradient/sec-doc-info-extraction/blob/master/classify_sections_containing_relevant_information.ipynb,,Data,2021-02-27 06:34:55,9.0,6.0,1.0,2018-06-16 14:30:06,2018-06-16 17:23:46,healthgradient/sec-doc-info-extraction,inactive,,
Employee Count SEC Filings,https://github.com/healthgradient/sec_employee_information_extraction,,Data,2021-04-18 03:25:43,11.0,2.0,1.0,2018-06-26 23:33:51,2018-08-14 01:31:13,healthgradient/sec_employee_information_extraction,inactive,,
IRS,http://social-metrics.org/sox/,,Data,,,,,,,,,,
EDGAR,https://github.com/TiesdeKok/UW_Python_Camp/blob/master/Materials/Session_5/EDGAR_walkthrough.ipynb,,Data,2021-04-29 12:51:47,12.0,11.0,1.0,2018-06-11 22:51:57,2018-07-10 18:03:52,TiesdeKok/UW_Python_Camp,inactive,,
Capital Markets Data,https://www.capitalmarketsdata.com/,,Data,,,,,,,,,,
Financial Corporate,http://raw.rutgers.edu/Corporate%20Financial%20Data.html,,Data,,,,,,,,,,
https://github.com/timestocome/StockMarketData,https://github.com/timestocome/StockMarketData,,Data,2021-05-12 12:24:53,7.0,5.0,1.0,2017-05-10 21:49:45,2017-08-06 19:23:18,timestocome/StockMarketData,inactive,,
Web Scraping (FirmAI),https://github.com/firmai/business-machine-learning/blob/master/www.firmai.org/data,,Data,2021-06-15 23:11:43,585.0,189.0,2.0,2019-02-19 19:02:59,2020-07-22 16:48:21,firmai/business-machine-learning,active,,
Data-Science-Free,https://github.com/frontbenchHQ/Data-Science-Free,NEW,Courses,2021-06-19 20:38:56,236.0,163.0,4.0,2019-02-10 14:29:29,2020-07-13 06:36:25,frontbenchHQ/Data-Science-Free,active,,2021-04-19 01:25:20.750834
Python for Finance,https://github.com/siaen/python_finance_course,CEU python for finance course material.,Courses,2021-04-28 18:10:55,17.0,15.0,4.0,2017-12-12 11:54:46,2020-02-25 20:31:41,siaen/python_finance_course,active,,
Algo Trading,https://github.com/JCreeks/Machine-Learning-in-Finance/tree/master/0_Intro_to_Algo_Trading,Intro to algo trading.,Courses,2021-05-17 01:37:14,65.0,25.0,1.0,2017-10-29 20:34:54,2019-01-22 06:56:08,JCreeks/Machine-Learning-in-Finance,inactive,,
Basic Derivatives,https://github.com/SeanMcOwen/FinanceAndPython.com-Derivatives,Basic forward contracts and hedging.,Courses,2021-03-31 02:08:39,4.0,4.0,1.0,2017-08-24 00:11:37,2017-10-13 01:32:23,SeanMcOwen/FinanceAndPython.com-Derivatives,inactive,,
Risk Management,https://github.com/andrey-lukyanov/Risk-Management,Finance risk engagement course resources.,Courses,2021-04-20 08:29:36,8.0,5.0,3.0,2018-10-03 16:26:14,2018-12-13 08:04:15,andrey-lukyanov/Risk-Management,inactive,,
Handson Python for Finance,https://github.com/PacktPublishing/Hands-on-Python-for-Finance,Hands-on Python for Finance published by Packt.,Courses,2021-06-18 02:55:28,142.0,113.0,3.0,2018-08-20 14:10:37,2021-01-15 08:57:06,PacktPublishing/Hands-on-Python-for-Finance,active,,
Basic Investments,https://github.com/SeanMcOwen/FinanceAndPython.com-Investments,Basic investment tools in python.,Courses,2021-03-23 06:32:10,9.0,7.0,1.0,2017-08-02 21:52:19,2017-08-17 03:24:53,SeanMcOwen/FinanceAndPython.com-Investments,inactive,,
PyMLSlides,https://github.com/dmitriydligach/PyMLSlides,NEW,Courses,2021-05-23 19:18:37,279.0,118.0,0.0,2017-06-05 13:59:15,2020-10-06 21:34:43,dmitriydligach/PyMLSlides,active,,2021-04-19 01:25:20.750834
Non-financial Corporate,http://raw.rutgers.edu/Non-Financial%20Corporate%20Data.html,,Data,,,,,,,,,,
https://fred.stlouisfed.org/,https://fred.stlouisfed.org/,,Data,,,,,,,,,,
http://finance.yahoo.com/,http://finance.yahoo.com/,,Data,,,,,,,,,,
Rating Industries,http://www.ratingshistory.info/,,Data,,,,,,,,,,
https://stooq.com,https://stooq.com,,Data,,,,,,,,,,
finserv-application-blueprint,https://github.com/mapr-demos/finserv-application-blueprint,generate streamable data using mapr converged data platfrom built mostly in java. Uses apache [zepplin](https://zeppelin.apache.org/) for web visualization ,Data Processing Techniques and Transformations,2021-06-08 14:08:51,73.0,53.0,5.0,2016-09-26 19:42:54,2021-06-07 17:38:13,mapr-demos/finserv-application-blueprint,active,2.0,12:49.2
Advanced ML,https://github.com/BlackArbsCEO/Adv_Fin_ML_Exercises,Exercises to book [advances in financial machine learning](https://www.wiley.com/en-us/Advances+in+Financial+Machine+Learning-p-9781119482109). Relevant topics include data cleaning and outlier detection (using MAD),Data Processing Techniques and Transformations,2021-06-19 19:02:17,1031.0,451.0,4.0,2018-04-25 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,2021-06-17 07:36:15,71.0,21.0,1.0,2017-05-22 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,2021-06-12 18:53:10,160.0,46.0,4.0,2019-06-02 05:48:39,2019-09-12 13:03:05,microsoft/CryptoNets,active,2.0,12:49.2
Rating Industries,http://www.ratingshistory.info/,,Data,,,,,,,,,,
http://finance.yahoo.com/,http://finance.yahoo.com/,,Data,,,,,,,,,,
https://fred.stlouisfed.org/,https://fred.stlouisfed.org/,,Data,,,,,,,,,,
Web Scraping (FirmAI),https://github.com/firmai/business-machine-learning/blob/master/www.firmai.org/data,,Data,2021-06-15 23:11:43,585.0,189.0,2.0,2019-02-19 19:02:59,2020-07-22 16:48:21,firmai/business-machine-learning,active,,
IRS,http://social-metrics.org/sox/,,Data,,,,,,,,,,
Financial Corporate,http://raw.rutgers.edu/Corporate%20Financial%20Data.html,,Data,,,,,,,,,,
Capital Markets Data,https://www.capitalmarketsdata.com/,,Data,,,,,,,,,,
EDGAR,https://github.com/TiesdeKok/UW_Python_Camp/blob/master/Materials/Session_5/EDGAR_walkthrough.ipynb,,Data,2021-04-29 12:51:47,12.0,11.0,1.0,2018-06-11 22:51:57,2018-07-10 18:03:52,TiesdeKok/UW_Python_Camp,inactive,,
https://github.com/timestocome/StockMarketData,https://github.com/timestocome/StockMarketData,,Data,2021-05-12 12:24:53,7.0,5.0,1.0,2017-05-10 21:49:45,2017-08-06 19:23:18,timestocome/StockMarketData,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,,
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,,
Open Edgar,https://github.com/LexPredict/openedgar,,Data,2021-06-05 05:08:02,180.0,64.0,6.0,2018-05-07 15:32:31,2019-05-15 08:32:30,LexPredict/openedgar,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,2021-06-18 15:51:10,363.0,144.0,9.0,2014-06-01 01:14:12,2021-05-19 17:05:49,timolson/cointrader,active,2.0,12:49.2
CryptoNets,https://github.com/microsoft/CryptoNets,CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with [Homomorphic Encryption](https://www.cs.cmu.edu/~odonnell/hits09/gentry-homomorphic-encryption.pdf). Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted.,Data Processing Techniques and Transformations,2021-06-12 18:53:10,160.0,46.0,4.0,2019-06-02 05:48:39,2019-09-12 13:03:05,microsoft/CryptoNets,active,2.0,12:49.2
Google-Finance-Stock-Data-Analysis,https://github.com/hpnhxxwn/Google-Finance-Stock-Data-Analysis,data processing platform which stream data from kafka. The example shows two incoming data stream stock vs tweets and two spark streams are created to consume the kafka data then end results are stored in cassandra. Older tech stacks were used and not actively maintained.,Data Processing Techniques and Transformations,2021-04-24 12:13:48,71.0,10.0,1.0,2017-07-23 02:59:59,2017-07-23 03:10:35,hpnhxxwn/Google-Finance-Stock-Data-Analysis,inactive,3.0,12:49.2
LTSM Recurrent,https://github.com/VivekPa/AIAlpha,OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network.,Deep Learning And Reinforcement Learning,2021-06-19 14:47:17,1242.0,385.0,2.0,2018-10-07 03:58:26,2019-08-03 09:00:44,VivekPa/AIAlpha,active,4.0,
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,2021-06-19 19:02:17,1031.0,451.0,4.0,2018-04-25 17:22:40,2020-01-16 17:25:41,BlackArbsCEO/Adv_Fin_ML_Exercises,active,4.0,
finserv-application-blueprint,https://github.com/mapr-demos/finserv-application-blueprint,generate streamable data using mapr converged data platfrom built mostly in java. Uses apache [zepplin](https://zeppelin.apache.org/) for web visualization ,Data Processing Techniques and Transformations,2021-06-08 14:08:51,73.0,53.0,5.0,2016-09-26 19:42:54,2021-06-07 17:38:13,mapr-demos/finserv-application-blueprint,active,2.0,12:49.2
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,2021-06-17 07:36:15,71.0,21.0,1.0,2017-05-22 17:07:45,2017-05-23 08:06:27,Medha11/Twitter-Trends,inactive,3.0,12:49.2
QLearning_Trading,https://github.com/ucaiado/QLearning_Trading,NEW,Deep Learning And Reinforcement Learning,2021-06-11 16:07:24,445.0,171.0,1.0,2016-08-10 06:02:23,2016-10-15 02:36:09,ucaiado/QLearning_Trading,inactive,,39:11.1
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,2021-06-14 09:29:46,323.0,160.0,1.0,2018-08-13 10:44:08,2020-01-23 04:41:20,pskrunner14/trading-bot,active,3.0,3/31/21 8:00
Deep-Learning-Machine-Learning-Stock,https://github.com/LastAncientOne/Deep-Learning-Machine-Learning-Stock,curated list of notebooks for machine learning models. Start with very simple linear models to more advanced reinforcement learning type of models. Problem with this repo is that the library version numbers may be changing over time and there's no specific way to track and upgrade,Deep Learning And Reinforcement Learning,2021-06-18 17:17:56,316.0,113.0,1.0,2018-09-29 23:38:06,2021-06-13 05:18:17,LastAncientOne/Deep-Learning-Machine-Learning-Stock,active,3.0,3/31/21 8:00
FinRL-Library,https://github.com/AI4Finance-LLC/FinRL-Library,started by Columbia university engineering students and designed as an end to end deep reinforcement learning library for automated trading platform. Implementation of DQN DDQN DDPG etc using PyTorch and [gym](https://gym.openai.com/) use [pyfolio](https://github.com/quantopian/pyfolio) for showing backtesting stats. Big contributions on Proximal Policy Optimization (PPO) advantage actor critic (A2C) and Deep Deterministic Policy Gradient (DDPG) agents for trading,Deep Learning And Reinforcement Learning,2021-06-19 04:08:59,2189.0,571.0,22.0,2020-07-26 13:18:16,2021-06-17 17:31:33,AI4Finance-LLC/FinRL,active,5.0,3/31/21 8:00
DQN-DDPG_Stock_Trading,https://github.com/AI4Finance-LLC/DQN-DDPG_Stock_Trading,merged into FinRL library and uses [gym](https://gym.openai.com/) and implementation of DQN,Deep Learning And Reinforcement Learning,2021-06-16 17:02:10,145.0,55.0,4.0,2018-09-19 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,2021-06-19 09:28:37,248.0,112.0,1.0,2018-02-25 17:41:42,2020-12-01 22:06:39,golsun/deep-RL-trading,active,3.0,3/31/21 8:00
LTSM GRU,https://github.com/RajatHanda/Finance-Forecasting,Stock Market Forecasting using LSTM\GRU.,Deep Learning And Reinforcement Learning,2021-05-24 10:37:07,12.0,6.0,1.0,2018-05-13 02:39:32,2019-02-25 00:26:42,RajatHanda/Finance-Forecasting,inactive,3.0,
a3c_trading,https://github.com/evgps/a3c_trading,NEW,Deep Learning And Reinforcement Learning,2021-06-17 01:01:08,321.0,102.0,1.0,2018-06-04 15:30:16,2020-05-23 14:47:54,evgps/a3c_trading,active,,39:11.1
TradingGym,https://github.com/cove9988/TradingGym,NEW,Deep Learning And Reinforcement Learning,2021-05-17 02:51:50,113.0,38.0,3.0,2017-11-06 00:50:01,2017-11-15 23:55:32,cove9988/TradingGym,inactive,,39:11.1
Trading-Gym,https://github.com/thedimlebowski/Trading-Gym,NEW,Deep Learning And Reinforcement Learning,2021-06-18 23:13:19,514.0,146.0,3.0,2017-06-13 13:14:48,2017-07-10 08:09:30,thedimlebowski/Trading-Gym,inactive,,39:11.1
Deep Learning III,https://github.com/Rachnog/Deep-Trading,Algorithmic trading with deep learning experiments.,Deep Learning And Reinforcement Learning,2021-06-18 10:20:31,1283.0,682.0,1.0,2016-06-18 18:23:06,2018-08-07 15:24:45,Rachnog/Deep-Trading,inactive,5.0,
RLQuant,https://github.com/yuriak/RLQuant,NEW,Deep Learning And Reinforcement Learning,2021-06-11 05:41:13,278.0,94.0,1.0,2018-04-05 05:42:44,2018-08-13 04:18:29,yuriak/RLQuant,inactive,,39:11.1
rl_trading,https://github.com/ucaiado/rl_trading,NEW,Deep Learning And Reinforcement Learning,2021-05-25 06:17:53,212.0,92.0,1.0,2017-05-29 22:19:00,2017-08-29 14:54:50,ucaiado/rl_trading,inactive,,39:11.1
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,2021-06-19 20:23:04,634.0,157.0,1.0,2018-11-26 03:23:04,2021-01-01 09:41:21,cbailes/awesome-deep-trading,active,4.0,3/31/21 8:00
AI Trading,https://github.com/borisbanushev/stockpredictionai/blob/master/readme2.md,AI to predict stock market movements.,Deep Learning And Reinforcement Learning,2021-06-17 22:32:27,2976.0,1420.0,1.0,2019-01-09 08:02:47,2019-02-11 16:32:47,borisbanushev/stockpredictionai,inactive,5.0,
BitcoinForecast,https://github.com/PiSimo/BitcoinForecast,RNN model to predict short term price movement (in this case BTC for the next 9 minutes) [deepchart](https://pisimo.github.io/DeepChart/) is used to visualize the model ,Deep Learning And Reinforcement Learning,2021-06-09 10:45:26,302.0,132.0,3.0,2017-03-10 10:52:02,2018-06-11 08:07:02,PiSimo/BitcoinForecast,inactive,3.0,3/31/21 8:00
Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020,https://github.com/AI4Finance-LLC/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020,Part of FinRL and provided code for paper [deep reinformacement learning for automated stock trading](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3690996) focuses on ensemble.,Deep Learning And Reinforcement Learning,2021-06-19 13:55:26,672.0,296.0,6.0,2020-07-26 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
DeepLearningInFinance,https://github.com/sonaam1234/DeepLearningInFinance,Based on a [talk](https://towardsdatascience.com/deep-learning-in-finance-9e088cb17c03) Sonam Srivastava gave and there are two studies: 1. single timeseries return prediction using ARIMA/VAR/SVR/Deep Regression/CNN/LSTM 2. indexed portfolio construction using autoencoders i.e. replicate a index using handful of stocks. ,Deep Learning And Reinforcement Learning,2021-06-03 02:49:19,266.0,147.0,1.0,2017-08-21 16:00:42,2017-08-21 17:23:48,sonaam1234/DeepLearningInFinance,inactive,3.0,3/31/21 8:00
pairstrade-fyp-2019,https://github.com/wywongbd/pairstrade-fyp-2019,NEW,Deep Learning And Reinforcement Learning,2021-06-17 23:43:34,119.0,42.0,2.0,2018-09-07 07:51:06,2020-05-13 05:06:51,wywongbd/pairstrade-fyp-2019,active,,39:11.1
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,2021-06-13 21:41:20,148.0,71.0,1.0,2018-05-11 00:52:14,2019-10-26 14:22:44,saeed349/Deep-Reinforcement-Learning-in-Trading,active,3.0,3/31/21 8:00
Pair Trading RL,https://github.com/shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading,Using deep actor-critic model to learn best strategies in pair trading.,Deep Learning And Reinforcement Learning,2021-06-13 18:30:08,247.0,117.0,1.0,2017-05-18 16:47:11,2017-05-18 16:56:38,shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading,inactive,3.0,
AutomatedStockTrading-DeepQ-Learning,https://github.com/sachink2010/AutomatedStockTrading-DeepQ-Learning,cornerstone project repo for Udacity nanodegree program [Become a machine learning engineer](https://www.udacity.com/course/machine-learning-engineer-nanodegree--nd009t) and focus on trading using deep q learning. Good explanation on design choices in the report,Deep Learning And Reinforcement Learning,2021-06-19 10:34:18,135.0,53.0,2.0,2019-02-23 12:01:21,2020-02-25 18:16:34,sachink2010/AutomatedStockTrading-DeepQ-Learning,active,3.0,3/31/21 8:00
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,
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,2021-06-19 15:24:30,390.0,118.0,1.0,2018-06-21 01:06:01,2020-11-05 11:08:19,sadighian/crypto-rl,active,3.0,3/31/21 8:00
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,
FinRL,https://github.com/AI4Finance-LLC/FinRL,NEW,Deep Learning And Reinforcement Learning,2021-06-19 04:08:59,2189.0,571.0,22.0,2020-07-26 13:18:16,2021-06-17 17:31:33,AI4Finance-LLC/FinRL,active,,13:03.7
Deep Learning IV,https://github.com/achillesrasquinha/bulbea,Bulbea: Deep Learning based Python Library.,Deep Learning And Reinforcement Learning,2021-06-16 15:41:44,1501.0,422.0,1.0,2017-03-09 06:11:06,2017-03-19 07:42:49,achillesrasquinha/bulbea,inactive,5.0,
Personae,https://github.com/Ceruleanacg/Personae,implementation of deep reinforcement learning and supervised learnings covering areas: deep deterministic policy gradient (DDPG) and DDQN etc. Data are being pulled from [rqalpha](https://github.com/ricequant/rqalpha) which is a python backtest engine and have a nice docker image to run training/testing,Deep Learning And Reinforcement Learning,2021-06-08 21:35:47,1152.0,334.0,2.0,2018-03-10 11:22:00,2018-09-02 17:21:38,Ceruleanacg/Personae,inactive,5.0,3/31/21 8:00
RL III,https://github.com/samre12/deep-trading-agent,Github -Deep Reinforcement Learning based Trading Agent for Bitcoin.,Deep Learning And Reinforcement Learning,2021-06-14 06:09:35,594.0,204.0,1.0,2017-09-21 17:05:19,2018-04-13 16:33:21,samre12/deep-trading-agent,inactive,3.0,
RLTrader,https://github.com/notadamking/RLTrader,predecessor to [tensortrade](https://github.com/tensortrade-org/tensortrade) uses open api [gym](https://gym.openai.com/) and neat way to render matplotlib plots in real time. Also explains LSTM/data stationarity/Bayesian optimization using [Optuna](https://github.com/optuna/optuna) etc.,Deep Learning And Reinforcement Learning,2021-06-17 16:00:15,1361.0,473.0,15.0,2019-04-27 18:35:15,2019-10-17 16:25:49,notadamking/RLTrader,active,5.0,3/31/21 8:00
Neural Network,https://github.com/VivekPa/IntroNeuralNetworks,Neural networks to predict stock prices.,Deep Learning And Reinforcement Learning,2021-06-14 04:22:52,514.0,178.0,2.0,2018-09-10 06:34:53,2018-11-21 07:39:31,VivekPa/IntroNeuralNetworks,inactive,4.0,
RL II,https://github.com/deependersingla/deep_trader,reinforcement learning on stock market and agent tries to learn trading.,Deep Learning And Reinforcement Learning,2021-06-18 16:36:18,1352.0,490.0,3.0,2016-06-11 07:27:10,2018-01-22 14:35:50,deependersingla/deep_trader,inactive,3.0,
Deep Learning,https://github.com/keon/deepstock,Technical experimentations to beat the stock market using deep learning.,Deep Learning And Reinforcement Learning,2021-06-18 02:58:09,429.0,154.0,2.0,2016-12-12 02:15:12,2017-03-04 08:37:29,keon/deepstock,inactive,4.0,
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,2021-06-15 14:45:31,158.0,45.0,2.0,2019-05-19 22:20:05,2020-09-27 19:22:28,Albert-Z-Guo/Deep-Reinforcement-Stock-Trading,active,3.0,3/31/21 8:00
LTSM Recurrent,https://github.com/VivekPa/AIAlpha,OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network.,Deep Learning And Reinforcement Learning,2021-06-19 14:47:17,1242.0,385.0,2.0,2018-10-07 03:58:26,2019-08-03 09:00:44,VivekPa/AIAlpha,active,4.0,
Machine-Learning-and-Reinforcement-Learning-in-Finance,https://github.com/joelowj/Machine-Learning-and-Reinforcement-Learning-in-Finance,NEW,Deep Learning And Reinforcement Learning,2021-06-06 10:11:44,181.0,96.0,1.0,2018-06-26 04:30:08,2018-09-23 16:50:33,joelowj/Machine-Learning-and-Reinforcement-Learning-in-Finance,inactive,,39:11.1
RL IV,https://github.com/jjakimoto/DQN,Reinforcement Learning for finance.,Deep Learning And Reinforcement Learning,2021-05-31 10:06:44,143.0,55.0,1.0,2016-10-21 02:47:17,2017-04-07 08:11:57,jjakimoto/DQN,inactive,,
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,2021-06-20 00:02:23,4040.0,1672.0,2.0,2017-12-18 10:49:59,2021-01-05 10:31:50,huseinzol05/Stock-Prediction-Models,active,5.0,3/31/21 8:00
RL III,https://github.com/samre12/deep-trading-agent,Github -Deep Reinforcement Learning based Trading Agent for Bitcoin.,Deep Learning And Reinforcement Learning,2021-06-14 06:09:35,594.0,204.0,1.0,2017-09-21 17:05:19,2018-04-13 16:33:21,samre12/deep-trading-agent,inactive,3.0,
trading-rl,https://github.com/Kostis-S-Z/trading-rl,Deep reinforcement learning for financial trading using [gym](https://gym.openai.com/) and [keras-rl](https://github.com/keras-rl/keras-rl) on FX dataset (EURUSD) not actively maintained,Deep Learning And Reinforcement Learning,2021-06-13 20:20:42,181.0,38.0,2.0,2019-04-22 10:03:21,2020-09-28 09:07:18,Kostis-S-Z/trading-rl,active,3.0,3/31/21 8:00
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,2021-06-08 09:39:34,226.0,91.0,1.0,2018-08-05 02:13:21,2018-10-01 11:25:53,imhgchoi/ARIMA-LSTM-hybrid-corrcoef-predict,inactive,3.0,
TradingGym,https://github.com/Yvictor/TradingGym,NEW,Deep Learning And Reinforcement Learning,2021-06-18 23:16:24,880.0,242.0,2.0,2017-05-01 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,2021-06-19 21:14:49,3267.0,764.0,42.0,2019-07-30 21:28:32,2021-06-19 21:14:43,tensortrade-org/tensortrade,active,,39:11.1
RL,https://github.com/kh-kim/stock_market_reinforcement_learning,OpenGym with Deep Q-learning and Policy Gradient.,Deep Learning And Reinforcement Learning,2021-06-17 15:56:28,725.0,303.0,1.0,2016-10-04 14:42:19,2016-12-23 07:34:08,kh-kim/stock_market_reinforcement_learning,inactive,2.0,
Advanced-Deep-Trading,https://github.com/Rachnog/Advanced-Deep-Trading,"notebooks containing experiments based on Lopez de Prado book ""Advances in financial machine learning"". Mostly not deep learning related but rather sklearn regression models. Interesting libraries include [mlfinlab](https://github.com/hudson-and-thames/mlfinlab) for calculating return stats and [shap](https://github.com/slundberg/shap) for explaining models. Examlpe of shap can be which features are pushing the value up and and which features are pushing the value down. Also contain functions for calculating geometric brownian motion and jump diffusion functions. ",Deep Learning And Reinforcement Learning,2021-06-17 06:48:21,331.0,162.0,2.0,2019-02-16 21:18:00,2020-11-29 20:12:59,Rachnog/Advanced-Deep-Trading,active,3.0,3/31/21 8:00
Deep Learning II,https://github.com/LiamConnell/deep-algotrading/tree/master/notebooks,Tensorflow Regression.,Deep Learning And Reinforcement Learning,2021-06-14 05:38:28,180.0,68.0,1.0,2016-07-12 12:56:10,2018-02-16 02:43:36,LiamConnell/deep-algotrading,inactive,3.0,
maro,https://github.com/microsoft/maro,NEW,Deep Learning And Reinforcement Learning,2021-06-19 01:24:55,431.0,74.0,19.0,2019-12-27 06:48:27,2021-06-02 03:05:34,microsoft/maro,active,,39:11.1
gym-trading,https://github.com/hackthemarket/gym-trading,NEW,Deep Learning And Reinforcement Learning,2021-06-18 23:22:47,594.0,197.0,2.0,2016-12-09 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,2021-06-13 10:57:10,143.0,60.0,1.0,2019-06-09 22:50:37,2020-01-03 15:36:22,wai-i/Pair-Trading-Reinforcement-Learning,active,,39:11.1
RL 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,
FinRL,https://github.com/AI4Finance-LLC/FinRL,NEW,Deep Learning And Reinforcement Learning,2021-06-19 04:08:59,2189.0,571.0,22.0,2020-07-26 13:18:16,2021-06-17 17:31:33,AI4Finance-LLC/FinRL,active,,13:03.7
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,
Pair Trading RL,https://github.com/shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading,Using deep actor-critic model to learn best strategies in pair trading.,Deep Learning And Reinforcement Learning,2021-06-13 18:30:08,247.0,117.0,1.0,2017-05-18 16:47:11,2017-05-18 16:56:38,shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading,inactive,3.0,
deep-RL-trading,https://github.com/golsun/deep-RL-trading,trading game comparing RNN vs CNN vs MLP based on [paper](https://arxiv.org/abs/1803.03916),Deep Learning And Reinforcement Learning,2021-06-19 09:28:37,248.0,112.0,1.0,2018-02-25 17:41:42,2020-12-01 22:06:39,golsun/deep-RL-trading,active,3.0,3/31/21 8:00
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,2021-06-14 09:29:46,323.0,160.0,1.0,2018-08-13 10:44:08,2020-01-23 04:41:20,pskrunner14/trading-bot,active,3.0,3/31/21 8:00
Deep-Learning-Machine-Learning-Stock,https://github.com/LastAncientOne/Deep-Learning-Machine-Learning-Stock,curated list of notebooks for machine learning models. Start with very simple linear models to more advanced reinforcement learning type of models. Problem with this repo is that the library version numbers may be changing over time and there's no specific way to track and upgrade,Deep Learning And Reinforcement Learning,2021-06-18 17:17:56,316.0,113.0,1.0,2018-09-29 23:38:06,2021-06-13 05:18:17,LastAncientOne/Deep-Learning-Machine-Learning-Stock,active,3.0,3/31/21 8:00
FinRL-Library,https://github.com/AI4Finance-LLC/FinRL-Library,started by Columbia university engineering students and designed as an end to end deep reinforcement learning library for automated trading platform. Implementation of DQN DDQN DDPG etc using PyTorch and [gym](https://gym.openai.com/) use [pyfolio](https://github.com/quantopian/pyfolio) for showing backtesting stats. Big contributions on Proximal Policy Optimization (PPO) advantage actor critic (A2C) and Deep Deterministic Policy Gradient (DDPG) agents for trading,Deep Learning And Reinforcement Learning,2021-06-19 04:08:59,2189.0,571.0,22.0,2020-07-26 13:18:16,2021-06-17 17:31:33,AI4Finance-LLC/FinRL,active,5.0,3/31/21 8:00
DQN-DDPG_Stock_Trading,https://github.com/AI4Finance-LLC/DQN-DDPG_Stock_Trading,merged into FinRL library and uses [gym](https://gym.openai.com/) and implementation of DQN,Deep Learning And Reinforcement Learning,2021-06-16 17:02:10,145.0,55.0,4.0,2018-09-19 03:17:06,2020-11-26 16:58:00,AI4Finance-LLC/DQN-DDPG_Stock_Trading,active,3.0,3/31/21 8:00
LTSM GRU,https://github.com/RajatHanda/Finance-Forecasting,Stock Market Forecasting using LSTM\GRU.,Deep Learning And Reinforcement Learning,2021-05-24 10:37:07,12.0,6.0,1.0,2018-05-13 02:39:32,2019-02-25 00:26:42,RajatHanda/Finance-Forecasting,inactive,3.0,
a3c_trading,https://github.com/evgps/a3c_trading,NEW,Deep Learning And Reinforcement Learning,2021-06-17 01:01:08,321.0,102.0,1.0,2018-06-04 15:30:16,2020-05-23 14:47:54,evgps/a3c_trading,active,,39:11.1
TradingGym,https://github.com/cove9988/TradingGym,NEW,Deep Learning And Reinforcement Learning,2021-05-17 02:51:50,113.0,38.0,3.0,2017-11-06 00:50:01,2017-11-15 23:55:32,cove9988/TradingGym,inactive,,39:11.1
QLearning_Trading,https://github.com/ucaiado/QLearning_Trading,NEW,Deep Learning And Reinforcement Learning,2021-06-11 16:07:24,445.0,171.0,1.0,2016-08-10 06:02:23,2016-10-15 02:36:09,ucaiado/QLearning_Trading,inactive,,39:11.1
Trading-Gym,https://github.com/thedimlebowski/Trading-Gym,NEW,Deep Learning And Reinforcement Learning,2021-06-18 23:13:19,514.0,146.0,3.0,2017-06-13 13:14:48,2017-07-10 08:09:30,thedimlebowski/Trading-Gym,inactive,,39:11.1
AutomatedStockTrading-DeepQ-Learning,https://github.com/sachink2010/AutomatedStockTrading-DeepQ-Learning,cornerstone project repo for Udacity nanodegree program [Become a machine learning engineer](https://www.udacity.com/course/machine-learning-engineer-nanodegree--nd009t) and focus on trading using deep q learning. Good explanation on design choices in the report,Deep Learning And Reinforcement Learning,2021-06-19 10:34:18,135.0,53.0,2.0,2019-02-23 12:01:21,2020-02-25 18:16:34,sachink2010/AutomatedStockTrading-DeepQ-Learning,active,3.0,3/31/21 8:00
RLQuant,https://github.com/yuriak/RLQuant,NEW,Deep Learning And Reinforcement Learning,2021-06-11 05:41:13,278.0,94.0,1.0,2018-04-05 05:42:44,2018-08-13 04:18:29,yuriak/RLQuant,inactive,,39:11.1
rl_trading,https://github.com/ucaiado/rl_trading,NEW,Deep Learning And Reinforcement Learning,2021-05-25 06:17:53,212.0,92.0,1.0,2017-05-29 22:19:00,2017-08-29 14:54:50,ucaiado/rl_trading,inactive,,39:11.1
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,2021-06-19 15:24:30,390.0,118.0,1.0,2018-06-21 01:06:01,2020-11-05 11:08:19,sadighian/crypto-rl,active,3.0,3/31/21 8:00
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,2021-06-19 20:23:04,634.0,157.0,1.0,2018-11-26 03:23:04,2021-01-01 09:41:21,cbailes/awesome-deep-trading,active,4.0,3/31/21 8:00
AI Trading,https://github.com/borisbanushev/stockpredictionai/blob/master/readme2.md,AI to predict stock market movements.,Deep Learning And Reinforcement Learning,2021-06-17 22:32:27,2976.0,1420.0,1.0,2019-01-09 08:02:47,2019-02-11 16:32:47,borisbanushev/stockpredictionai,inactive,5.0,
BitcoinForecast,https://github.com/PiSimo/BitcoinForecast,RNN model to predict short term price movement (in this case BTC for the next 9 minutes) [deepchart](https://pisimo.github.io/DeepChart/) is used to visualize the model ,Deep Learning And Reinforcement Learning,2021-06-09 10:45:26,302.0,132.0,3.0,2017-03-10 10:52:02,2018-06-11 08:07:02,PiSimo/BitcoinForecast,inactive,3.0,3/31/21 8:00
Deep Learning III,https://github.com/Rachnog/Deep-Trading,Algorithmic trading with deep learning experiments.,Deep Learning And Reinforcement Learning,2021-06-18 10:20:31,1283.0,682.0,1.0,2016-06-18 18:23:06,2018-08-07 15:24:45,Rachnog/Deep-Trading,inactive,5.0,
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,2021-06-19 13:55:26,672.0,296.0,6.0,2020-07-26 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
DeepLearningInFinance,https://github.com/sonaam1234/DeepLearningInFinance,Based on a [talk](https://towardsdatascience.com/deep-learning-in-finance-9e088cb17c03) Sonam Srivastava gave and there are two studies: 1. single timeseries return prediction using ARIMA/VAR/SVR/Deep Regression/CNN/LSTM 2. indexed portfolio construction using autoencoders i.e. replicate a index using handful of stocks. ,Deep Learning And Reinforcement Learning,2021-06-03 02:49:19,266.0,147.0,1.0,2017-08-21 16:00:42,2017-08-21 17:23:48,sonaam1234/DeepLearningInFinance,inactive,3.0,3/31/21 8:00
pairstrade-fyp-2019,https://github.com/wywongbd/pairstrade-fyp-2019,NEW,Deep Learning And Reinforcement Learning,2021-06-17 23:43:34,119.0,42.0,2.0,2018-09-07 07:51:06,2020-05-13 05:06:51,wywongbd/pairstrade-fyp-2019,active,,39:11.1
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,2021-06-13 21:41:20,148.0,71.0,1.0,2018-05-11 00:52:14,2019-10-26 14:22:44,saeed349/Deep-Reinforcement-Learning-in-Trading,active,3.0,3/31/21 8:00
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,2021-06-20 00:02:23,4040.0,1672.0,2.0,2017-12-18 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,2021-06-19 01:24:55,431.0,74.0,19.0,2019-12-27 06:48:27,2021-06-02 03:05:34,microsoft/maro,active,,39:11.1
Deep Learning II,https://github.com/LiamConnell/deep-algotrading/tree/master/notebooks,Tensorflow Regression.,Deep Learning And Reinforcement Learning,2021-06-14 05:38:28,180.0,68.0,1.0,2016-07-12 12:56:10,2018-02-16 02:43:36,LiamConnell/deep-algotrading,inactive,3.0,
gym-trading,https://github.com/hackthemarket/gym-trading,NEW,Deep Learning And Reinforcement Learning,2021-06-18 23:22:47,594.0,197.0,2.0,2016-12-09 20:46:19,2017-12-24 15:34:37,hackthemarket/gym-trading,inactive,,39:11.1
RL,https://github.com/kh-kim/stock_market_reinforcement_learning,OpenGym with Deep Q-learning and Policy Gradient.,Deep Learning And Reinforcement Learning,2021-06-17 15:56:28,725.0,303.0,1.0,2016-10-04 14:42:19,2016-12-23 07:34:08,kh-kim/stock_market_reinforcement_learning,inactive,2.0,
tensortrade,https://github.com/tensortrade-org/tensortrade,NEW,Deep Learning And Reinforcement Learning,2021-06-19 21:14:49,3267.0,764.0,42.0,2019-07-30 21:28:32,2021-06-19 21:14:43,tensortrade-org/tensortrade,active,,39:11.1
TradingGym,https://github.com/Yvictor/TradingGym,NEW,Deep Learning And Reinforcement Learning,2021-06-18 23:16:24,880.0,242.0,2.0,2017-05-01 13:53:32,2018-02-14 13:58:18,Yvictor/TradingGym,inactive,,39:11.1
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,2021-06-08 09:39:34,226.0,91.0,1.0,2018-08-05 02:13:21,2018-10-01 11:25:53,imhgchoi/ARIMA-LSTM-hybrid-corrcoef-predict,inactive,3.0,
Advanced-Deep-Trading,https://github.com/Rachnog/Advanced-Deep-Trading,"notebooks containing experiments based on Lopez de Prado book ""Advances in financial machine learning"". Mostly not deep learning related but rather sklearn regression models. Interesting libraries include [mlfinlab](https://github.com/hudson-and-thames/mlfinlab) for calculating return stats and [shap](https://github.com/slundberg/shap) for explaining models. Examlpe of shap can be which features are pushing the value up and and which features are pushing the value down. Also contain functions for calculating geometric brownian motion and jump diffusion functions. ",Deep Learning And Reinforcement Learning,2021-06-17 06:48:21,331.0,162.0,2.0,2019-02-16 21:18:00,2020-11-29 20:12:59,Rachnog/Advanced-Deep-Trading,active,3.0,3/31/21 8:00
gs-quant,https://github.com/goldmansachs/gs-quant,NEW,Derivatives and Hedging,2021-06-17 15:12:51,646.0,190.0,12.0,2018-12-14 21:10:40,2021-06-16 01:45:31,goldmansachs/gs-quant,active,,23:51.4
openAlgo,https://github.com/mtompkins/openAlgo,NEW,Derivatives and Hedging,2021-06-14 05:45:45,163.0,83.0,2.0,2013-05-28 14:46:53,2017-03-24 20:00:24,mtompkins/openAlgo,inactive,,23:51.4
Computational Derivatives,https://github.com/chenbowen184/Computational_Finance,Projects focusing on investigating simulations and computational techniques applied in finance.,Derivatives and Hedging,2021-05-18 09:14:31,19.0,12.0,1.0,2018-01-29 05:01:52,2018-08-02 05:56:49,chen-bowen/Computational_Finance,inactive,,
MarketAnalysis,https://github.com/Poseyy/MarketAnalysis,NEW,Derivatives and Hedging,2021-06-10 11:06:53,178.0,80.0,1.0,2019-03-28 19:46:34,2020-08-06 05:15:46,Poseyy/MarketAnalysis,active,,23:51.4
Derivative Markets,https://github.com/broughtj/Fin6470/tree/master/Notebooks,"The economics of futures, futures, options, and swaps.",Derivatives and Hedging,2021-04-15 16:03:10,8.0,8.0,1.0,2016-02-09 05:30:27,2021-04-15 16:02:59,broughtj/Fin6470,active,,
FinancePy,https://github.com/domokane/FinancePy,NEW,Derivatives and Hedging,2021-06-19 20:44:34,511.0,83.0,7.0,2019-10-27 15:04:56,2021-06-18 18:13:16,domokane/FinancePy,active,,23:51.4
Derivatives Python,https://github.com/yhilpisch/dawp/tree/master/python36,Derivative analytics with Python.,Derivatives and Hedging,2021-06-19 17:06:24,404.0,304.0,1.0,2015-07-09 12:27:29,2021-02-22 13:29:18,yhilpisch/dawp,active,,
robin_stocks,https://github.com/jmfernandes/robin_stocks,NEW,Derivatives and Hedging,2021-06-19 18:54:47,1099.0,290.0,36.0,2018-02-23 00:49:37,2021-05-12 02:21:21,jmfernandes/robin_stocks,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,,
Strata,https://github.com/OpenGamma/Strata,NEW,Derivatives and Hedging,2021-06-18 09:37:55,619.0,221.0,43.0,2014-06-16 11:45:55,2021-06-18 09:37:50,OpenGamma/Strata,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,,,
StockSharp,https://github.com/StockSharp/StockSharp,NEW,Derivatives and Hedging,2021-06-19 22:00:43,4145.0,1277.0,17.0,2014-12-08 07:53:44,2021-06-16 12:37:08,StockSharp/StockSharp,active,,23:51.4
Hull White,https://github.com/rstreppa/valuation-callables-HullWhite/blob/master/CallableBond_HullWhite.ipynb,"Callable Bond, Hull White.",Derivatives and Hedging,2020-10-06 20:37:16,4.0,6.0,1.0,2018-06-06 22:06:06,2018-06-06 22:27:02,rstreppa/valuation-callables-HullWhite,inactive,,
Options,https://github.com/QuantConnect/Tutorials/tree/master/06%20Introduction%20to%20Options%5B%5D,Introduction to options.,Derivatives and Hedging,2021-06-17 06:45:48,358.0,170.0,36.0,2017-07-28 15:48:29,2021-03-17 17:17:08,QuantConnect/Tutorials,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,,
QLNet,https://github.com/amaggiulli/QLNet,NEW,Derivatives and Hedging,2021-06-13 01:42:54,267.0,136.0,13.0,2013-08-22 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,2021-06-01 15:11:55,128.0,41.0,5.0,2018-07-19 23:15:25,2020-04-18 18:05:37,westonplatter/fast_arrow,active,,23:51.4
wallstreet,https://github.com/mcdallas/wallstreet,NEW,Derivatives and Hedging,2021-06-19 00:08:19,596.0,131.0,2.0,2016-01-20 22:03:39,2019-08-09 23:14:52,mcdallas/wallstreet,active,,23:51.4
Volatility and Variance Derivatives,https://github.com/yhilpisch/lvvd/tree/master/lvvd,Volatility derivatives analytics.,Derivatives and Hedging,2021-06-15 03:01:30,84.0,78.0,1.0,2016-10-21 04:12:50,2021-05-15 10:12:38,yhilpisch/lvvd,active,,
akshare,https://github.com/jindaxiang/akshare,NEW,Derivatives and Hedging,2021-06-19 16:17:01,3640.0,757.0,13.0,2019-10-01 07:34:12,2021-06-19 16:16:58,jindaxiang/akshare,active,,23:51.4
trading-server,https://github.com/s-brez/trading-server,NEW,Derivatives and Hedging,2021-06-18 12:56:43,261.0,57.0,2.0,2019-03-05 03:06:19,2021-03-08 02:37:08,s-brez/trading-server,active,,23:51.4
huobi_futures_Python,https://github.com/hbdmapi/huobi_futures_Python,NEW,Derivatives and Hedging,2021-06-19 11:29:28,193.0,90.0,2.0,2020-01-14 07:21:39,2021-05-29 06:12:07,hbdmapi/huobi_futures_Python,active,,23:51.4
paperbroker,https://github.com/philipodonnell/paperbroker,NEW,Derivatives and Hedging,2021-06-06 19:31:08,181.0,50.0,3.0,2017-07-06 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,2021-06-18 13:03:10,425.0,91.0,3.0,2017-09-17 01:49:54,2021-06-04 16:13:34,michaelchu/optopsy,active,,23:51.4
Option Strategies,https://github.com/rstreppa/valuation-OptionStrategies,"Valuation of Vanilla and Exotic option strategies (Butterfly, Risk Reversal etc.) with widget animations.",Derivatives and Hedging,2021-06-15 21:43:59,3.0,3.0,1.0,2018-05-22 18:27:26,2018-05-22 18:30:24,rstreppa/valuation-OptionStrategies,inactive,,
Reinforcement Learning,https://github.com/FinTechies/HedgingRL,Hedging portfolios with reinforcement learning.,Derivatives and Hedging,2021-01-20 08:12:13,16.0,10.0,1.0,2017-04-21 10:58:56,2017-08-02 21:41:06,FinTechies/HedgingRL,inactive,,
quant-trading,https://github.com/je-suis-tm/quant-trading,NEW,Derivatives and Hedging,2021-06-19 22:10:31,1959.0,518.0,2.0,2018-04-03 14:08:14,2021-04-13 18:37:15,je-suis-tm/quant-trading,active,,23:51.4
Options-Trading-Strategies-in-Python,https://github.com/PyPatel/Options-Trading-Strategies-in-Python,NEW,Derivatives and Hedging,2021-06-18 10:36:11,343.0,136.0,1.0,2017-08-30 06:00:15,2019-08-21 15:47:57,PyPatel/Options-Trading-Strategies-in-Python,active,,23:51.4
tda-api,https://github.com/alexgolec/tda-api,NEW,Derivatives and Hedging,2021-06-19 02:56:21,729.0,189.0,17.0,2020-04-03 21:19:12,2021-05-31 14:34:01,alexgolec/tda-api,active,,23:51.4
tf-quant-finance,https://github.com/google/tf-quant-finance,NEW,Derivatives and Hedging,2021-06-19 16:55:07,2676.0,352.0,30.0,2019-07-24 16:09:50,2021-06-16 18:51:04,google/tf-quant-finance,active,,23:51.4
Option Strategies,https://github.com/rstreppa/valuation-OptionStrategies,"Valuation of Vanilla and Exotic option strategies (Butterfly, Risk Reversal etc.) with widget animations.",Derivatives and Hedging,2021-06-15 21:43:59,3.0,3.0,1.0,2018-05-22 18:27:26,2018-05-22 18:30:24,rstreppa/valuation-OptionStrategies,inactive,,
trade-frame,https://github.com/rburkholder/trade-frame,NEW,Derivatives and Hedging,2021-06-04 00:27:13,198.0,79.0,1.0,2016-07-24 15:25:30,2021-05-24 16:56:10,rburkholder/trade-frame,active,,23:51.4
AlgorithmicTrading,https://github.com/JerBouma/AlgorithmicTrading,NEW,Derivatives and Hedging,2021-06-17 14:13:39,196.0,59.0,1.0,2019-03-14 09:33:37,2021-02-03 22:29:07,JerBouma/AlgorithmicTrading,active,,23:51.4
FinanceDatabase,https://github.com/JerBouma/FinanceDatabase,NEW,Derivatives and Hedging,2021-06-19 02:37:12,683.0,79.0,1.0,2021-01-28 18:36:09,2021-06-14 15:23:55,JerBouma/FinanceDatabase,active,,23:51.4
@@ -175,224 +196,204 @@ algotrader,https://github.com/torreyleonard/algotrader,NEW,Derivatives and Hedgi
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,,
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,,
Options_Data_Science,https://github.com/yugedata/Options_Data_Science,NEW,Derivatives and Hedging,2021-06-11 06:28:02,248.0,43.0,1.0,2020-12-09 04:51:20,2021-05-13 04:13:21,yugedata/Options_Data_Science,active,,23:51.4
tf-quant-finance,https://github.com/google/tf-quant-finance,NEW,Derivatives and Hedging,2021-06-19 16:55:07,2676.0,352.0,30.0,2019-07-24 16:09:50,2021-06-16 18:51:04,google/tf-quant-finance,active,,23:51.4
tai,https://github.com/fremantle-industries/tai,NEW,Derivatives and Hedging,2021-06-18 17:26:50,298.0,47.0,6.0,2017-07-28 03:07:18,2021-06-18 06:19:15,fremantle-industries/tai,active,,23:51.4
akshare,https://github.com/jindaxiang/akshare,NEW,Derivatives and Hedging,2021-06-19 16:17:01,3640.0,757.0,13.0,2019-10-01 07:34:12,2021-06-19 16:16:58,jindaxiang/akshare,active,,23:51.4
trading-server,https://github.com/s-brez/trading-server,NEW,Derivatives and Hedging,2021-06-18 12:56:43,261.0,57.0,2.0,2019-03-05 03:06:19,2021-03-08 02:37:08,s-brez/trading-server,active,,23:51.4
wallstreet,https://github.com/mcdallas/wallstreet,NEW,Derivatives and Hedging,2021-06-19 00:08:19,596.0,131.0,2.0,2016-01-20 22:03:39,2019-08-09 23:14:52,mcdallas/wallstreet,active,,23:51.4
QLNet,https://github.com/amaggiulli/QLNet,NEW,Derivatives and Hedging,2021-06-13 01:42:54,267.0,136.0,13.0,2013-08-22 14:51:43,2021-03-02 18:39:41,amaggiulli/QLNet,active,,23:51.4
gs-quant,https://github.com/goldmansachs/gs-quant,NEW,Derivatives and Hedging,2021-06-17 15:12:51,646.0,190.0,12.0,2018-12-14 21:10:40,2021-06-16 01:45:31,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,2021-05-18 09:14:31,19.0,12.0,1.0,2018-01-29 05:01:52,2018-08-02 05:56:49,chen-bowen/Computational_Finance,inactive,,
MarketAnalysis,https://github.com/Poseyy/MarketAnalysis,NEW,Derivatives and Hedging,2021-06-10 11:06:53,178.0,80.0,1.0,2019-03-28 19:46:34,2020-08-06 05:15:46,Poseyy/MarketAnalysis,active,,23:51.4
Derivative Markets,https://github.com/broughtj/Fin6470/tree/master/Notebooks,"The economics of futures, futures, options, and swaps.",Derivatives and Hedging,2021-04-15 16:03:10,8.0,8.0,1.0,2016-02-09 05:30:27,2021-04-15 16:02:59,broughtj/Fin6470,active,,
FinancePy,https://github.com/domokane/FinancePy,NEW,Derivatives and Hedging,2021-06-19 20:44:34,511.0,83.0,7.0,2019-10-27 15:04:56,2021-06-18 18:13:16,domokane/FinancePy,active,,23:51.4
Derivatives Python,https://github.com/yhilpisch/dawp/tree/master/python36,Derivative analytics with Python.,Derivatives and Hedging,2021-06-19 17:06:24,404.0,304.0,1.0,2015-07-09 12:27:29,2021-02-22 13:29:18,yhilpisch/dawp,active,,
openAlgo,https://github.com/mtompkins/openAlgo,NEW,Derivatives and Hedging,2021-06-14 05:45:45,163.0,83.0,2.0,2013-05-28 14:46:53,2017-03-24 20:00:24,mtompkins/openAlgo,inactive,,23:51.4
robin_stocks,https://github.com/jmfernandes/robin_stocks,NEW,Derivatives and Hedging,2021-06-19 18:54:47,1099.0,290.0,36.0,2018-02-23 00:49:37,2021-05-12 02:21:21,jmfernandes/robin_stocks,active,,23:51.4
fast_arrow,https://github.com/westonplatter/fast_arrow,NEW,Derivatives and Hedging,2021-06-01 15:11:55,128.0,41.0,5.0,2018-07-19 23:15:25,2020-04-18 18:05:37,westonplatter/fast_arrow,active,,23:51.4
Strata,https://github.com/OpenGamma/Strata,NEW,Derivatives and Hedging,2021-06-18 09:37:55,619.0,221.0,43.0,2014-06-16 11:45:55,2021-06-18 09:37:50,OpenGamma/Strata,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,2021-06-15 03:01:30,84.0,78.0,1.0,2016-10-21 04:12:50,2021-05-15 10:12:38,yhilpisch/lvvd,active,,
Derman,https://github.com/rstreppa/valuation-convertibles-Goldman1994/blob/master/ConvertibleBond_Goldman1994_Derman.ipynb,Binomial tree for American call.,Derivatives and Hedging,2020-10-06 20:37:15,1.0,3.0,1.0,2018-05-18 18:08:16,2018-09-21 19:59:01,rstreppa/valuation-convertibles-Goldman1994,inactive,,
StockSharp,https://github.com/StockSharp/StockSharp,NEW,Derivatives and Hedging,2021-06-19 22:00:43,4145.0,1277.0,17.0,2014-12-08 07:53:44,2021-06-16 12:37:08,StockSharp/StockSharp,active,,23:51.4
Hull White,https://github.com/rstreppa/valuation-callables-HullWhite/blob/master/CallableBond_HullWhite.ipynb,"Callable Bond, Hull White.",Derivatives and Hedging,2020-10-06 20:37:16,4.0,6.0,1.0,2018-06-06 22:06:06,2018-06-06 22:27:02,rstreppa/valuation-callables-HullWhite,inactive,,
Options,https://github.com/QuantConnect/Tutorials/tree/master/06%20Introduction%20to%20Options%5B%5D,Introduction to options.,Derivatives and Hedging,2021-06-17 06:45:48,358.0,170.0,36.0,2017-07-28 15:48:29,2021-03-17 17:17:08,QuantConnect/Tutorials,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,,
High-Frequency-Trading-Model-with-IB,https://github.com/jamesmawm/High-Frequency-Trading-Model-with-IB,NEW,Extended Research,2021-06-19 21:27:55,1860.0,551.0,2.0,2014-05-18 19:20:13,2019-06-21 14:58:07,jamesmawm/High-Frequency-Trading-Model-with-IB,active,,2021-04-21 01:25:51.827641
StockPredictionRNN,https://github.com/dzitkowskik/StockPredictionRNN,NEW,Extended Research,2021-06-19 17:17:29,504.0,216.0,2.0,2015-11-26 19:00:35,2016-05-21 15:51:22,dzitkowskik/StockPredictionRNN,inactive,,2021-04-21 01:25:51.827641
Computational Finance,https://github.com/lnsongxf/Applied_Computational_Economics_and_Finance,Applied Computational Economics and Finance.,Extended Research,2021-05-31 04:01:48,13.0,14.0,1.0,2017-08-27 03:46:33,2017-08-26 04:26:04,lnsongxf/Applied_Computational_Economics_and_Finance,inactive,,
talkingdata-adtracking-fraud-detection,https://github.com/flowlight0/talkingdata-adtracking-fraud-detection,NEW,Extended Research,2021-06-08 07:39:19,204.0,54.0,1.0,2018-03-21 11:27:31,2018-06-10 15:30:50,flowlight0/talkingdata-adtracking-fraud-detection,inactive,,2021-04-21 01:25:51.827641
kafka-fraud-detector,https://github.com/florimondmanca/kafka-fraud-detector,NEW,Extended Research,2021-06-18 12:30:23,61.0,45.0,3.0,2018-09-13 17:36:49,2019-04-29 22:04:23,florimondmanca/kafka-fraud-detector,inactive,,2021-04-21 01:25:51.827641
fraud-detection-using-machine-learning,https://github.com/awslabs/fraud-detection-using-machine-learning,NEW,Extended Research,2021-06-09 19:03:27,98.0,61.0,6.0,2019-05-17 17:12:46,2021-06-09 19:03:19,awslabs/fraud-detection-using-machine-learning,active,,2021-04-21 01:25:51.827641
Avellaneda-Stoikov,https://github.com/mdibo/Avellaneda-Stoikov,NEW,Extended Research,2021-06-07 04:17:42,52.0,42.0,1.0,2017-10-16 03:36:34,2020-05-09 23:35:08,mdibo/Avellaneda-Stoikov,active,,2021-06-02 04:27:12.212333
graph-fraud-detection-papers,https://github.com/safe-graph/graph-fraud-detection-papers,NEW,Extended Research,2021-06-19 02:39:30,390.0,72.0,2.0,2019-11-21 05:39:23,2021-06-17 02:52:30,safe-graph/graph-fraud-detection-papers,active,,2021-04-21 01:25:51.827641
getIPIntel,https://github.com/blackdotsh/getIPIntel,NEW,Extended Research,2021-06-10 08:40:37,155.0,32.0,4.0,2015-10-02 21:40:50,2021-01-24 01:09:18,blackdotsh/getIPIntel,active,,2021-04-21 01:25:51.827641
roq-samples,https://github.com/roq-trading/roq-samples,NEW,Extended Research,2021-06-19 17:18:00,65.0,24.0,3.0,2018-03-27 04:19:09,2021-05-30 07:15:02,roq-trading/roq-samples,active,,2021-05-05 01:50:21.293278
DGFraud,https://github.com/safe-graph/DGFraud,NEW,Extended Research,2021-06-19 13:49:30,323.0,86.0,4.0,2019-11-22 14:02:36,2021-05-27 21:12:27,safe-graph/DGFraud,active,,2021-04-21 01:25:51.827641
fx_systrade,https://github.com/ryogrid/fx_systrade,NEW,Extended Research,2021-05-09 01:04:16,81.0,29.0,2.0,2015-07-24 11:46:28,2020-10-23 10:17:01,ryogrid/fx_systrade,active,,2021-04-21 01:25:51.827641
Fraud-detection-using-deep-learning,https://github.com/aaxwaz/Fraud-detection-using-deep-learning,NEW,Extended Research,2021-06-11 06:39:22,104.0,56.0,1.0,2017-06-18 12:35:24,2017-12-06 13:51:54,aaxwaz/Fraud-detection-using-deep-learning,inactive,,2021-04-21 01:25:51.827641
Fraud_Detection_Techniques,https://github.com/wmlba/Fraud_Detection_Techniques,NEW,Extended Research,2021-05-13 07:14:15,62.0,35.0,1.0,2019-02-14 02:27:13,2020-06-14 23:36:47,wmlba/Fraud_Detection_Techniques,active,,2021-04-21 01:25:51.827641
FX-Trading-with-Python-and-Oanda,https://github.com/anthonyng2/FX-Trading-with-Python-and-Oanda,NEW,Extended Research,2021-02-20 20:49:53,57.0,42.0,1.0,2017-02-23 07:48:12,2017-08-14 03:21:30,anthonyng2/FX-Trading-with-Python-and-Oanda,inactive,,2021-04-21 01:25:51.827641
FX-1-Minute-Data,https://github.com/philipperemy/FX-1-Minute-Data,NEW,Extended Research,2021-06-15 09:06:49,288.0,111.0,4.0,2017-05-22 03:24:35,2021-06-15 09:06:46,philipperemy/FX-1-Minute-Data,active,,2021-04-21 01:25:51.827641
fingerprintjs,https://github.com/fingerprintjs/fingerprintjs,NEW,Extended Research,2021-06-20 00:25:30,13864.0,1655.0,67.0,2015-02-11 08:49:54,2021-06-14 09:50:00,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,2021-06-11 18:52:03,192.0,30.0,1.0,2014-05-02 00:19:01,2016-11-16 05:57:09,daleroberts/math-finance-cheat-sheet,inactive,,2021-04-21 01:25:51.827641
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
bot18,https://github.com/carlos8f/bot18,NEW,Extended Research,2021-06-19 06:24:54,169.0,32.0,2.0,2018-05-23 14:22:25,2018-10-17 08:06:21,carlos8f/bot18,inactive,,2021-04-21 01:25:51.827641
UGFraud,https://github.com/safe-graph/UGFraud,NEW,Extended Research,2021-06-12 20:38:34,60.0,16.0,2.0,2020-06-01 22:34:14,2021-04-11 19:01:44,safe-graph/UGFraud,active,,2021-05-26 02:41:08.838631
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
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,,
Bayesian Finance I,https://github.com/AlexIoannides/pymc-stochastic-process/blob/master/bayes_stoch_proc_calib.ipynb,Stochastic Process Calibration using Bayesian Inference & Probabilistic Programs.,Extended Research,2021-05-18 12:27:07,27.0,6.0,0.0,2019-01-04 12:30:41,2019-02-18 09:55:21,AlexIoannides/pymc-stochastic-process,inactive,,
Financial Economics,https://github.com/rsvp/fecon235/tree/master/nb,Financial Economics Models.,Extended Research,2021-06-18 21:39:36,726.0,280.0,2.0,2014-11-09 04:49:01,2018-12-03 16:30:28,rsvp/fecon235,inactive,,
Chronicle-Accelerate,https://github.com/OpenHFT/Chronicle-Accelerate,NEW,Extended Research,2020-12-11 04:11:30,55.0,13.0,7.0,2018-01-24 08:52:53,2018-08-11 12:11:43,OpenHFT/Chronicle-Accelerate,inactive,,2021-04-21 01:25:51.827641
Simulation,https://github.com/chenbowen184/Computational_Finance,Investigating simulations as part of computational finance.,Extended Research,2021-05-18 09:14:31,19.0,12.0,1.0,2018-01-29 05:01:52,2018-08-02 05:56:49,chen-bowen/Computational_Finance,inactive,,
ITCH,https://github.com/martinobdl/ITCH,NEW,Extended Research,2021-06-19 17:03:58,71.0,27.0,3.0,2019-03-09 18:20:12,2020-07-25 10:24:10,martinobdl/ITCH,active,,2021-04-21 01:25:51.827641
Financial-Formulas-Library-.NET-Standard,https://github.com/srbrettle/Financial-Formulas-Library-.NET-Standard,NEW,Extended Research,2021-06-17 19:29:37,114.0,31.0,2.0,2018-09-01 17:43:37,2019-11-22 12:50:30,srbrettle/Financial-Formulas-Library-.NET-Standard,active,,2021-04-21 01:25:51.827641
algo-trader-tool-suite,https://github.com/K0414/algo-trader-tool-suite,NEW,Extended Research,2021-04-15 04:00:52,58.0,52.0,1.0,2013-10-24 14:57:12,2013-10-24 15:01:56,K0414/algo-trader-tool-suite,inactive,,2021-04-21 01:25:51.827641
HFT-CNN,https://github.com/ShimShim46/HFT-CNN,NEW,Extended Research,2021-05-24 06:03:42,73.0,19.0,1.0,2018-08-18 06:39:32,2018-11-09 02:29:00,ShimShim46/HFT-CNN,inactive,,2021-04-21 01:25:51.827641
2018-Kaggle-AdTrackingFraud,https://github.com/ShawnyXiao/2018-Kaggle-AdTrackingFraud,NEW,Extended Research,2021-05-21 03:36:04,72.0,23.0,1.0,2018-05-08 09:29:46,2019-01-12 07:57:33,ShawnyXiao/2018-Kaggle-AdTrackingFraud,inactive,,2021-04-21 01:25:51.827641
Bayesian Finance,https://github.com/marketneutral/alphatools/blob/master/notebooks/pymc3-minimal.ipynb,Notebook PyMC3 implementation.,Extended Research,2021-06-18 04:34:41,249.0,59.0,1.0,2018-08-28 14:45:00,2020-08-06 22:03:47,marketneutral/alphatools,active,,
tectonicdb,https://github.com/0b01/tectonicdb,NEW,Extended Research,2021-06-18 18:20:19,351.0,56.0,10.0,2017-10-03 00:34:01,2020-09-08 23:02:20,0b01/tectonicdb,active,,2021-04-21 01:25:51.827641
hft,https://github.com/nickhuangxinyu/hft,NEW,Extended Research,2021-06-18 07:23:41,165.0,85.0,2.0,2019-03-12 14:57:01,2021-05-07 04:09:18,nickhuangxinyu/hft,active,,2021-04-21 01:25:51.827641
OpenHFT,https://github.com/OpenHFT/OpenHFT,NEW,Extended Research,2021-06-18 16:33:16,482.0,152.0,33.0,2013-12-26 10:22:00,2021-06-18 13:58:15,OpenHFT/OpenHFT,active,,2021-04-21 01:25:51.827641
example-hftish,https://github.com/alpacahq/example-hftish,NEW,Extended Research,2021-06-19 16:36:18,398.0,170.0,3.0,2019-01-25 14:56:38,2019-10-25 02:16:27,alpacahq/example-hftish,active,,2021-04-21 01:25:51.827641
HFT,https://github.com/rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy,High frequency trading.,Extended Research,2021-06-18 09:04:04,792.0,340.0,1.0,2016-07-21 05:14:14,2017-02-14 16:47:25,rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy,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,,
HFT-Orderbook,https://github.com/Crypto-toolbox/HFT-Orderbook,NEW,Extended Research,2021-06-18 07:24:06,440.0,150.0,4.0,2017-07-26 08:42:19,2018-08-24 13:35:39,Crypto-toolbox/HFT-Orderbook,inactive,,2021-04-21 01:25:51.827641
ReactiveTraderCloud,https://github.com/AdaptiveConsulting/ReactiveTraderCloud,NEW,Extended Research,2021-06-19 13:42:20,1591.0,504.0,81.0,2015-11-13 19:24:11,2021-05-10 13:20:10,AdaptiveConsulting/ReactiveTraderCloud,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,2021-06-12 08:04:27,52.0,20.0,1.0,2017-11-27 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
fraud-detection-demo,https://github.com/afedulov/fraud-detection-demo,NEW,Extended Research,2021-06-19 03:58:45,177.0,73.0,2.0,2019-11-04 09:23:17,2021-01-05 19:28:04,afedulov/fraud-detection-demo,active,,2021-04-21 01:25:51.827641
go-quantcup,https://github.com/rdingwall/go-quantcup,NEW,Extended Research,2021-05-31 02:35:13,74.0,36.0,1.0,2015-02-04 10:33:12,2015-06-11 12:50:09,rdingwall/go-quantcup,inactive,,2021-04-21 01:25:51.827641
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,,
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,,
HFTrader,https://github.com/DrAshBooth/HFTrader,NEW,Extended Research,2021-05-04 20:42:44,70.0,43.0,0.0,2012-12-03 13:57:19,2012-12-12 17:17:09,DrAshBooth/HFTrader,inactive,,2021-04-21 01:25:51.827641
kungfu,https://github.com/kungfu-origin/kungfu,NEW,Extended Research,2021-06-18 13:40:23,2379.0,869.0,7.0,2017-11-15 06:54:01,2020-06-03 12:04:41,kungfu-origin/kungfu,active,,2021-04-21 01:25:51.827641
Applied Corporate Finance,https://github.com/chenbowen184/Data_Science_in_Applied_Corporate_Finance,Studies the empirical behaviours in stock market.,Extended Research,2021-02-19 13:40:37,8.0,9.0,1.0,2018-01-29 05:14:52,2018-07-19 06:25:36,chen-bowen/Data_Science_in_Applied_Corporate_Finance,inactive,,
High Frequency,https://github.com/cswaney/prickle,A Python toolkit for high-frequency trade research.,Extended Research,2021-06-19 15:55:33,26.0,17.0,2.0,2016-07-06 20:32:21,2018-06-09 10:53:51,cswaney/prickle,inactive,,
Behavioural Economics,https://github.com/pcmichaud/notebooks,Behavioural Economics and Finance Python Notebooks.,Extended Research,2021-02-03 07:22:40,9.0,4.0,1.0,2018-12-20 00:21:38,2019-03-26 11:51:46,pcmichaud/notebooks,inactive,,
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,,,
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,,
Backtests,https://github.com/AlgoTraders/stock-analysis-engine,Trading data and algorithms.,Extended Research,2021-06-19 15:12:54,653.0,181.0,3.0,2018-09-16 20:00:36,2020-09-05 13:01:05,AlgoTraders/stock-analysis-engine,active,,
spartan,https://github.com/rigtorp/spartan,NEW,Extended Research,2021-06-12 19:19:28,166.0,62.0,1.0,2012-11-22 04:29:42,2015-10-31 03:46:06,rigtorp/spartan,inactive,,2021-04-21 01:25:51.827641
finmath-lib,https://github.com/finmath/finmath-lib,NEW,Extended Research,2021-06-14 19:46:15,316.0,127.0,16.0,2013-03-17 10:00:22,2021-03-13 21:37:31,finmath/finmath-lib,active,,2021-04-21 01:25:51.827641
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,,
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,,
Economic Foundations,https://github.com/SeanMcOwen/FinanceAndPython.com-EconomicFoundations,Basic economic models.,Extended Research,2020-10-06 21:01:59,2.0,4.0,1.0,2017-05-25 02:27:36,2017-06-30 03:53:59,SeanMcOwen/FinanceAndPython.com-EconomicFoundations,inactive,,
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,,
freqtrade_bot,https://github.com/michael-fourie/freqtrade_bot,NEW,Extended Research,2021-06-19 22:12:08,70.0,23.0,1.0,2020-12-21 00:14:25,2021-01-07 19:52:54,michael-fourie/freqtrade_bot,active,,2021-04-21 01:25:51.827641
Commodity,https://github.com/felipessalvatore/fin2vec/blob/master/src/Commodity2BR.ipynb,Commodity influence over Brazilian stocks.,Extended Research,,,,,,,felipessalvatore/fin2vec,,,
Liquidity and Momentum,https://github.com/mrefermat/quant_finance,Various factors and portfolio constructions.,Extended Research,2021-06-02 16:38:16,31.0,17.0,1.0,2018-08-11 22:59:53,2019-11-12 04:49:01,mrefermat/quant_finance,active,,
448Project,https://github.com/HujiaYuYoyo/448Project,NEW,Extended Research,2021-05-31 07:28:47,67.0,45.0,4.0,2018-04-14 21:19:21,2018-06-10 09:29:37,HujiaYuYoyo/448Project,inactive,,2021-04-21 01:25:51.827641
SumZeroTrading,https://github.com/rterp/SumZeroTrading,NEW,Extended Research,2021-06-17 19:24:06,129.0,44.0,1.0,2016-01-19 05:43:31,2018-08-30 22:44:52,rterp/SumZeroTrading,inactive,,2021-04-21 01:25:51.827641
MIDAS,https://github.com/Stream-AD/MIDAS,NEW,Extended Research,2021-06-18 18:19:33,615.0,71.0,3.0,2019-10-23 03:50:50,2021-06-08 08:19:24,Stream-AD/MIDAS,active,,2021-04-21 01:25:51.827641
Mathematical Finance,https://github.com/Auquan/Tutorials,Notebooks for math and financial tutorials.,Extended Research,2021-06-17 07:17:36,686.0,448.0,9.0,2017-01-21 11:24:18,2020-08-01 17:03:32,Auquan/Tutorials,active,,
tribeca,https://github.com/michaelgrosner/tribeca,NEW,Extended Research,2021-06-19 09:23:13,3547.0,899.0,22.0,2015-07-07 18:40:45,2018-02-26 18:01:13,michaelgrosner/tribeca,inactive,,2021-04-21 01:25:51.827641
hummingbot_chinese,https://github.com/CoinAlpha/hummingbot_chinese,NEW,Extended Research,2021-06-18 10:36:26,170.0,31.0,5.0,2019-06-05 22:53:04,2021-06-10 16:41:21,CoinAlpha/hummingbot_chinese,active,,2021-04-21 01:25:51.827641
Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras,https://github.com/curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras,NEW,Extended Research,2021-05-29 05:14:43,347.0,237.0,1.0,2017-06-09 13:58:13,2019-06-28 09:27:45,curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras,active,,2021-04-21 01:25:51.827641
Q-Fin,https://github.com/RomanMichaelPaolucci/Q-Fin,NEW,Extended Research,2021-06-07 16:23:39,52.0,8.0,1.0,2021-04-21 13:29:51,2021-06-07 16:23:33,RomanMichaelPaolucci/Q-Fin,active,,2021-06-02 04:27:12.212333
beymani,https://github.com/pranab/beymani,NEW,Extended Research,2021-05-21 02:36:21,112.0,60.0,0.0,2012-01-04 07:22:01,2021-05-08 15:21:52,pranab/beymani,active,,2021-04-21 01:25:51.827641
UGFraud,https://github.com/safe-graph/UGFraud,NEW,Extended Research,2021-06-12 20:38:34,60.0,16.0,2.0,2020-06-01 22:34:14,2021-04-11 19:01:44,safe-graph/UGFraud,active,,2021-05-26 02:41:08.838631
bot18,https://github.com/carlos8f/bot18,NEW,Extended Research,2021-06-19 06:24:54,169.0,32.0,2.0,2018-05-23 14:22:25,2018-10-17 08:06:21,carlos8f/bot18,inactive,,2021-04-21 01:25:51.827641
neural-finance,https://github.com/Metnew/neural-finance,NEW,Extended Research,2021-04-13 10:50:40,64.0,28.0,1.0,2016-12-30 17:14:13,2017-06-26 22:42:06,Metnew/neural-finance,inactive,,2021-04-21 01:25:51.827641
math-finance-cheat-sheet,https://github.com/daleroberts/math-finance-cheat-sheet,NEW,Extended Research,2021-06-11 18:52:03,192.0,30.0,1.0,2014-05-02 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,2021-06-20 00:25:30,13864.0,1655.0,67.0,2015-02-11 08:49:54,2021-06-14 09:50:00,fingerprintjs/fingerprintjs,active,,2021-04-21 01:25:51.827641
FX-1-Minute-Data,https://github.com/philipperemy/FX-1-Minute-Data,NEW,Extended Research,2021-06-15 09:06:49,288.0,111.0,4.0,2017-05-22 03:24:35,2021-06-15 09:06:46,philipperemy/FX-1-Minute-Data,active,,2021-04-21 01:25:51.827641
FX-Trading-with-Python-and-Oanda,https://github.com/anthonyng2/FX-Trading-with-Python-and-Oanda,NEW,Extended Research,2021-02-20 20:49:53,57.0,42.0,1.0,2017-02-23 07:48:12,2017-08-14 03:21:30,anthonyng2/FX-Trading-with-Python-and-Oanda,inactive,,2021-04-21 01:25:51.827641
Fraud_Detection_Techniques,https://github.com/wmlba/Fraud_Detection_Techniques,NEW,Extended Research,2021-05-13 07:14:15,62.0,35.0,1.0,2019-02-14 02:27:13,2020-06-14 23:36:47,wmlba/Fraud_Detection_Techniques,active,,2021-04-21 01:25:51.827641
Fraud-detection-using-deep-learning,https://github.com/aaxwaz/Fraud-detection-using-deep-learning,NEW,Extended Research,2021-06-11 06:39:22,104.0,56.0,1.0,2017-06-18 12:35:24,2017-12-06 13:51:54,aaxwaz/Fraud-detection-using-deep-learning,inactive,,2021-04-21 01:25:51.827641
FraudDetection-Microservices,https://github.com/melofred/FraudDetection-Microservices,NEW,Extended Research,2021-02-16 00:13:03,85.0,49.0,1.0,2016-06-08 23:24:21,2017-01-18 17:52:01,melofred/FraudDetection-Microservices,inactive,,2021-04-21 01:25:51.827641
fx_systrade,https://github.com/ryogrid/fx_systrade,NEW,Extended Research,2021-05-09 01:04:16,81.0,29.0,2.0,2015-07-24 11:46:28,2020-10-23 10:17:01,ryogrid/fx_systrade,active,,2021-04-21 01:25:51.827641
roq-samples,https://github.com/roq-trading/roq-samples,NEW,Extended Research,2021-06-19 17:18:00,65.0,24.0,3.0,2018-03-27 04:19:09,2021-05-30 07:15:02,roq-trading/roq-samples,active,,2021-05-05 01:50:21.293278
getIPIntel,https://github.com/blackdotsh/getIPIntel,NEW,Extended Research,2021-06-10 08:40:37,155.0,32.0,4.0,2015-10-02 21:40:50,2021-01-24 01:09:18,blackdotsh/getIPIntel,active,,2021-04-21 01:25:51.827641
graph-fraud-detection-papers,https://github.com/safe-graph/graph-fraud-detection-papers,NEW,Extended Research,2021-06-19 02:39:30,390.0,72.0,2.0,2019-11-21 05:39:23,2021-06-17 02:52:30,safe-graph/graph-fraud-detection-papers,active,,2021-04-21 01:25:51.827641
Avellaneda-Stoikov,https://github.com/mdibo/Avellaneda-Stoikov,NEW,Extended Research,2021-06-07 04:17:42,52.0,42.0,1.0,2017-10-16 03:36:34,2020-05-09 23:35:08,mdibo/Avellaneda-Stoikov,active,,2021-06-02 04:27:12.212333
fraud-detection-using-machine-learning,https://github.com/awslabs/fraud-detection-using-machine-learning,NEW,Extended Research,2021-06-09 19:03:27,98.0,61.0,6.0,2019-05-17 17:12:46,2021-06-09 19:03:19,awslabs/fraud-detection-using-machine-learning,active,,2021-04-21 01:25:51.827641
kafka-fraud-detector,https://github.com/florimondmanca/kafka-fraud-detector,NEW,Extended Research,2021-06-18 12:30:23,61.0,45.0,3.0,2018-09-13 17:36:49,2019-04-29 22:04:23,florimondmanca/kafka-fraud-detector,inactive,,2021-04-21 01:25:51.827641
Computational Finance,https://github.com/lnsongxf/Applied_Computational_Economics_and_Finance,Applied Computational Economics and Finance.,Extended Research,2021-05-31 04:01:48,13.0,14.0,1.0,2017-08-27 03:46:33,2017-08-26 04:26:04,lnsongxf/Applied_Computational_Economics_and_Finance,inactive,,
StockPredictionRNN,https://github.com/dzitkowskik/StockPredictionRNN,NEW,Extended Research,2021-06-19 17:17:29,504.0,216.0,2.0,2015-11-26 19:00:35,2016-05-21 15:51:22,dzitkowskik/StockPredictionRNN,inactive,,2021-04-21 01:25:51.827641
High-Frequency-Trading-Model-with-IB,https://github.com/jamesmawm/High-Frequency-Trading-Model-with-IB,NEW,Extended Research,2021-06-19 21:27:55,1860.0,551.0,2.0,2014-05-18 19:20:13,2019-06-21 14:58:07,jamesmawm/High-Frequency-Trading-Model-with-IB,active,,2021-04-21 01:25:51.827641
avellaneda-stoikov,https://github.com/ragoragino/avellaneda-stoikov,NEW,Extended Research,2021-05-31 12:38:50,57.0,20.0,1.0,2017-10-21 20:53:00,2017-10-30 18:23:27,ragoragino/avellaneda-stoikov,inactive,,2021-04-21 01:25:51.827641
DGFraud,https://github.com/safe-graph/DGFraud,NEW,Extended Research,2021-06-19 13:49:30,323.0,86.0,4.0,2019-11-22 14:02:36,2021-05-27 21:12:27,safe-graph/DGFraud,active,,2021-04-21 01:25:51.827641
High-Frequency-Trading-Simulation-System,https://github.com/chenhaotian/High-Frequency-Trading-Simulation-System,NEW,Extended Research,2021-05-21 16:30:46,51.0,25.0,1.0,2016-06-14 13:50:39,2018-04-16 08:48:10,chenhaotian/High-Frequency-Trading-Simulation-System,inactive,,2021-04-21 01:25:51.827641
system,https://github.com/BillRun/system,NEW,Extended Research,2021-05-26 10:11:38,86.0,54.0,8.0,2013-04-11 16:14:53,2020-07-02 15:32:31,BillRun/system,active,,2021-04-21 01:25:51.827641
talkingdata-adtracking-fraud-detection,https://github.com/flowlight0/talkingdata-adtracking-fraud-detection,NEW,Extended Research,2021-06-08 07:39:19,204.0,54.0,1.0,2018-03-21 11:27:31,2018-06-10 15:30:50,flowlight0/talkingdata-adtracking-fraud-detection,inactive,,2021-04-21 01:25:51.827641
exchange-core,https://github.com/mzheravin/exchange-core,NEW,Extended Research,2021-06-18 10:38:11,944.0,427.0,7.0,2018-08-05 18:25:16,2021-04-25 18:24:27,mzheravin/exchange-core,active,,2021-04-21 01:25:51.827641
Krypto-trading-bot,https://github.com/ctubio/Krypto-trading-bot,NEW,Extended Research,2021-06-19 22:30:38,2290.0,619.0,49.0,2017-06-13 20:15:54,2021-06-19 19:10:33,ctubio/Krypto-trading-bot,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,2021-06-19 15:43:43,141.0,40.0,2.0,2020-07-05 07:59:38,2021-05-26 17:17:24,TheSnowGuru/PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop,active,,2021-04-21 01:25:51.827641
fecon236,https://github.com/MathSci/fecon236,NEW,Extended Research,2021-06-01 06:28:35,78.0,44.0,2.0,2018-04-05 19:34:51,2019-01-11 08:07:56,MathSci/fecon236,inactive,,2021-04-21 01:25:51.827641
wondertrader,https://github.com/wondertrader/wondertrader,NEW,Extended Research,2021-06-18 09:12:53,284.0,74.0,2.0,2020-03-30 05:43:52,2021-05-24 06:04:06,wondertrader/wondertrader,active,,2021-04-21 01:25:51.827641
algotrading,https://github.com/ivopetiz/algotrading,NEW,Extended Research,2021-06-19 15:41:33,338.0,84.0,3.0,2018-07-10 22:10:41,2021-06-15 22:29:16,ivopetiz/algotrading,active,,2021-04-21 01:25:51.827641
system,https://github.com/BillRun/system,NEW,Extended Research,2021-05-26 10:11:38,86.0,54.0,8.0,2013-04-11 16:14:53,2020-07-02 15:32:31,BillRun/system,active,,2021-04-21 01:25:51.827641
TradingStrategies,https://github.com/SoftAlgoTrade/TradingStrategies,NEW,Extended Research,2021-06-13 07:20:47,119.0,55.0,1.0,2017-05-22 20:46:35,2017-10-29 11:09:37,SoftAlgoTrade/TradingStrategies,inactive,,2021-04-21 01:25:51.827641
HFT_Bitcoin,https://github.com/ghgr/HFT_Bitcoin,NEW,Extended Research,2021-05-07 12:27:55,72.0,23.0,1.0,2017-07-27 07:11:48,2017-08-21 14:50:35,ghgr/HFT_Bitcoin,inactive,,2021-04-21 01:25:51.827641
roq-api,https://github.com/roq-trading/roq-api,NEW,Extended Research,2021-06-19 15:37:55,156.0,47.0,1.0,2018-03-05 08:37:57,2021-05-30 09:29:25,roq-trading/roq-api,active,,2021-04-21 01:25:51.827641
InteractiveBrokers-Algo-System,https://github.com/rediar/InteractiveBrokers-Algo-System,NEW,Extended Research,2021-06-18 13:40:18,157.0,65.0,1.0,2018-01-21 03:09:41,2018-10-25 02:56:15,rediar/InteractiveBrokers-Algo-System,inactive,,2021-04-21 01:25:51.827641
wattnet-fx-trading,https://github.com/Zymrael/wattnet-fx-trading,NEW,Extended Research,2021-06-15 03:39:40,61.0,12.0,1.0,2019-09-13 08:44:27,2020-08-19 05:49:12,Zymrael/wattnet-fx-trading,active,,2021-04-21 01:25:51.827641
tradingrrl,https://github.com/darden1/tradingrrl,NEW,Extended Research,2021-05-05 10:46:14,60.0,34.0,1.0,2017-03-05 07:20:56,2018-11-14 13:19:52,darden1/tradingrrl,inactive,,2021-04-21 01:25:51.827641
wtpy,https://github.com/wondertrader/wtpy,NEW,Extended Research,2021-06-15 02:46:29,70.0,22.0,1.0,2020-06-18 01:43:25,2021-05-25 12:29:32,wondertrader/wtpy,active,,2021-04-21 01:25:51.827641
fraud-detection-papers,https://github.com/IPL/fraud-detection-papers,NEW,Extended Research,2021-06-04 07:41:09,134.0,31.0,1.0,2017-09-29 02:47:54,2021-02-03 09:47:27,IPL/fraud-detection-papers,active,,2021-04-21 01:25:51.827641
awesome-fraud-detection-papers,https://github.com/benedekrozemberczki/awesome-fraud-detection-papers,NEW,Extended Research,2021-06-15 03:17:04,890.0,189.0,4.0,2019-05-27 10:23:22,2021-04-03 10:45:01,benedekrozemberczki/awesome-fraud-detection-papers,active,,2021-04-21 01:25:51.827641
fraud-detection,https://github.com/yazanobeidi/fraud-detection,NEW,Extended Research,2021-06-07 09:42:30,60.0,34.0,1.0,2017-08-04 15:03:47,2017-08-05 15:38:45,yazanobeidi/fraud-detection,inactive,,2021-04-21 01:25:51.827641
math-php,https://github.com/markrogoyski/math-php,NEW,Extended Research,2021-06-19 11:43:23,1922.0,201.0,17.0,2016-04-03 17:57:14,2021-05-09 19:53:17,markrogoyski/math-php,active,,2021-04-21 01:25:51.827641
Fraud_Detector,https://github.com/kskk02/Fraud_Detector,NEW,Extended Research,2021-05-19 15:04:04,58.0,35.0,1.0,2014-07-03 20:52:51,2015-01-15 22:03:04,kskk02/Fraud_Detector,inactive,,2021-04-21 01:25:51.827641
gym-fx,https://github.com/harveybc/gym-fx,NEW,Extended Research,2021-06-03 17:36:35,157.0,42.0,1.0,2017-02-21 21:04:09,2020-06-03 21:03:14,harveybc/gym-fx,active,,2021-04-21 01:25:51.827641
Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras,https://github.com/curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras,NEW,Extended Research,2021-05-29 05:14:43,347.0,237.0,1.0,2017-06-09 13:58:13,2019-06-28 09:27:45,curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras,active,,2021-04-21 01:25:51.827641
ml-fraud-detection,https://github.com/georgymh/ml-fraud-detection,NEW,Extended Research,2021-06-17 15:05:39,122.0,92.0,2.0,2017-04-27 01:48:35,2018-01-31 21:17:26,georgymh/ml-fraud-detection,inactive,,2021-04-21 01:25:51.827641
Krypto-trading-bot,https://github.com/ctubio/Krypto-trading-bot,NEW,Extended Research,2021-06-19 22:30:38,2290.0,619.0,49.0,2017-06-13 20:15:54,2021-06-19 19:10:33,ctubio/Krypto-trading-bot,active,,2021-04-21 01:25:51.827641
TalkingData,https://github.com/CuteChibiko/TalkingData,NEW,Extended Research,2021-06-06 19:34:41,101.0,39.0,1.0,2018-05-09 15:17:45,2018-05-11 01:32:26,CuteChibiko/TalkingData,inactive,,2021-04-21 01:25:51.827641
crypto-database,https://github.com/ivopetiz/crypto-database,NEW,Extended Research,2021-05-25 11:07:34,58.0,24.0,2.0,2018-02-22 21:34:11,2019-10-04 13:06:18,ivopetiz/crypto-database,active,,2021-04-21 01:25:51.827641
Trading-Bot,https://github.com/RaidasGrisk/Trading-Bot,NEW,Extended Research,2021-06-09 18:44:23,77.0,33.0,1.0,2017-11-27 21:20:40,2018-01-22 21:00:57,RaidasGrisk/Trading-Bot,inactive,,2021-04-21 01:25:51.827641
fraud-detection-papers,https://github.com/IPL/fraud-detection-papers,NEW,Extended Research,2021-06-04 07:41:09,134.0,31.0,1.0,2017-09-29 02:47:54,2021-02-03 09:47:27,IPL/fraud-detection-papers,active,,2021-04-21 01:25:51.827641
awesome-fraud-detection-papers,https://github.com/benedekrozemberczki/awesome-fraud-detection-papers,NEW,Extended Research,2021-06-15 03:17:04,890.0,189.0,4.0,2019-05-27 10:23:22,2021-04-03 10:45:01,benedekrozemberczki/awesome-fraud-detection-papers,active,,2021-04-21 01:25:51.827641
tradingrrl,https://github.com/darden1/tradingrrl,NEW,Extended Research,2021-05-05 10:46:14,60.0,34.0,1.0,2017-03-05 07:20:56,2018-11-14 13:19:52,darden1/tradingrrl,inactive,,2021-04-21 01:25:51.827641
wattnet-fx-trading,https://github.com/Zymrael/wattnet-fx-trading,NEW,Extended Research,2021-06-15 03:39:40,61.0,12.0,1.0,2019-09-13 08:44:27,2020-08-19 05:49:12,Zymrael/wattnet-fx-trading,active,,2021-04-21 01:25:51.827641
InteractiveBrokers-Algo-System,https://github.com/rediar/InteractiveBrokers-Algo-System,NEW,Extended Research,2021-06-18 13:40:18,157.0,65.0,1.0,2018-01-21 03:09:41,2018-10-25 02:56:15,rediar/InteractiveBrokers-Algo-System,inactive,,2021-04-21 01:25:51.827641
roq-api,https://github.com/roq-trading/roq-api,NEW,Extended Research,2021-06-19 15:37:55,156.0,47.0,1.0,2018-03-05 08:37:57,2021-05-30 09:29:25,roq-trading/roq-api,active,,2021-04-21 01:25:51.827641
wtpy,https://github.com/wondertrader/wtpy,NEW,Extended Research,2021-06-15 02:46:29,70.0,22.0,1.0,2020-06-18 01:43:25,2021-05-25 12:29:32,wondertrader/wtpy,active,,2021-04-21 01:25:51.827641
HFT_Bitcoin,https://github.com/ghgr/HFT_Bitcoin,NEW,Extended Research,2021-05-07 12:27:55,72.0,23.0,1.0,2017-07-27 07:11:48,2017-08-21 14:50:35,ghgr/HFT_Bitcoin,inactive,,2021-04-21 01:25:51.827641
TradingStrategies,https://github.com/SoftAlgoTrade/TradingStrategies,NEW,Extended Research,2021-06-13 07:20:47,119.0,55.0,1.0,2017-05-22 20:46:35,2017-10-29 11:09:37,SoftAlgoTrade/TradingStrategies,inactive,,2021-04-21 01:25:51.827641
algotrading,https://github.com/ivopetiz/algotrading,NEW,Extended Research,2021-06-19 15:41:33,338.0,84.0,3.0,2018-07-10 22:10:41,2021-06-15 22:29:16,ivopetiz/algotrading,active,,2021-04-21 01:25:51.827641
wondertrader,https://github.com/wondertrader/wondertrader,NEW,Extended Research,2021-06-18 09:12:53,284.0,74.0,2.0,2020-03-30 05:43:52,2021-05-24 06:04:06,wondertrader/wondertrader,active,,2021-04-21 01:25:51.827641
fecon236,https://github.com/MathSci/fecon236,NEW,Extended Research,2021-06-01 06:28:35,78.0,44.0,2.0,2018-04-05 19:34:51,2019-01-11 08:07:56,MathSci/fecon236,inactive,,2021-04-21 01:25:51.827641
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,2021-06-19 15:43:43,141.0,40.0,2.0,2020-07-05 07:59:38,2021-05-26 17:17:24,TheSnowGuru/PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop,active,,2021-04-21 01:25:51.827641
Q-Fin,https://github.com/RomanMichaelPaolucci/Q-Fin,NEW,Extended Research,2021-06-07 16:23:39,52.0,8.0,1.0,2021-04-21 13:29:51,2021-06-07 16:23:33,RomanMichaelPaolucci/Q-Fin,active,,2021-06-02 04:27:12.212333
avellaneda-stoikov,https://github.com/ragoragino/avellaneda-stoikov,NEW,Extended Research,2021-05-31 12:38:50,57.0,20.0,1.0,2017-10-21 20:53:00,2017-10-30 18:23:27,ragoragino/avellaneda-stoikov,inactive,,2021-04-21 01:25:51.827641
hummingbot_chinese,https://github.com/CoinAlpha/hummingbot_chinese,NEW,Extended Research,2021-06-18 10:36:26,170.0,31.0,5.0,2019-06-05 22:53:04,2021-06-10 16:41:21,CoinAlpha/hummingbot_chinese,active,,2021-04-21 01:25:51.827641
algo-trader-tool-suite,https://github.com/K0414/algo-trader-tool-suite,NEW,Extended Research,2021-04-15 04:00:52,58.0,52.0,1.0,2013-10-24 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,2021-06-12 08:04:27,52.0,20.0,1.0,2017-11-27 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
ReactiveTraderCloud,https://github.com/AdaptiveConsulting/ReactiveTraderCloud,NEW,Extended Research,2021-06-19 13:42:20,1591.0,504.0,81.0,2015-11-13 19:24:11,2021-05-10 13:20:10,AdaptiveConsulting/ReactiveTraderCloud,active,,2021-04-21 01:25:51.827641
2018-Kaggle-AdTrackingFraud,https://github.com/ShawnyXiao/2018-Kaggle-AdTrackingFraud,NEW,Extended Research,2021-05-21 03:36:04,72.0,23.0,1.0,2018-05-08 09:29:46,2019-01-12 07:57:33,ShawnyXiao/2018-Kaggle-AdTrackingFraud,inactive,,2021-04-21 01:25:51.827641
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,,
HFT,https://github.com/rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy,High frequency trading.,Extended Research,2021-06-18 09:04:04,792.0,340.0,1.0,2016-07-21 05:14:14,2017-02-14 16:47:25,rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy,inactive,,
example-hftish,https://github.com/alpacahq/example-hftish,NEW,Extended Research,2021-06-19 16:36:18,398.0,170.0,3.0,2019-01-25 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,2021-06-18 16:33:16,482.0,152.0,33.0,2013-12-26 10:22:00,2021-06-18 13:58:15,OpenHFT/OpenHFT,active,,2021-04-21 01:25:51.827641
hft,https://github.com/nickhuangxinyu/hft,NEW,Extended Research,2021-06-18 07:23:41,165.0,85.0,2.0,2019-03-12 14:57:01,2021-05-07 04:09:18,nickhuangxinyu/hft,active,,2021-04-21 01:25:51.827641
tectonicdb,https://github.com/0b01/tectonicdb,NEW,Extended Research,2021-06-18 18:20:19,351.0,56.0,10.0,2017-10-03 00:34:01,2020-09-08 23:02:20,0b01/tectonicdb,active,,2021-04-21 01:25:51.827641
Bayesian Finance,https://github.com/marketneutral/alphatools/blob/master/notebooks/pymc3-minimal.ipynb,Notebook PyMC3 implementation.,Extended Research,2021-06-18 04:34:41,249.0,59.0,1.0,2018-08-28 14:45:00,2020-08-06 22:03:47,marketneutral/alphatools,active,,
fraud-detection-demo,https://github.com/afedulov/fraud-detection-demo,NEW,Extended Research,2021-06-19 03:58:45,177.0,73.0,2.0,2019-11-04 09:23:17,2021-01-05 19:28:04,afedulov/fraud-detection-demo,active,,2021-04-21 01:25:51.827641
HFT-CNN,https://github.com/ShimShim46/HFT-CNN,NEW,Extended Research,2021-05-24 06:03:42,73.0,19.0,1.0,2018-08-18 06:39:32,2018-11-09 02:29:00,ShimShim46/HFT-CNN,inactive,,2021-04-21 01:25:51.827641
Financial-Formulas-Library-.NET-Standard,https://github.com/srbrettle/Financial-Formulas-Library-.NET-Standard,NEW,Extended Research,2021-06-17 19:29:37,114.0,31.0,2.0,2018-09-01 17:43:37,2019-11-22 12:50:30,srbrettle/Financial-Formulas-Library-.NET-Standard,active,,2021-04-21 01:25:51.827641
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
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,,
Bayesian Finance I,https://github.com/AlexIoannides/pymc-stochastic-process/blob/master/bayes_stoch_proc_calib.ipynb,Stochastic Process Calibration using Bayesian Inference & Probabilistic Programs.,Extended Research,2021-05-18 12:27:07,27.0,6.0,0.0,2019-01-04 12:30:41,2019-02-18 09:55:21,AlexIoannides/pymc-stochastic-process,inactive,,
Chronicle-Accelerate,https://github.com/OpenHFT/Chronicle-Accelerate,NEW,Extended Research,2020-12-11 04:11:30,55.0,13.0,7.0,2018-01-24 08:52:53,2018-08-11 12:11:43,OpenHFT/Chronicle-Accelerate,inactive,,2021-04-21 01:25:51.827641
Simulation,https://github.com/chenbowen184/Computational_Finance,Investigating simulations as part of computational finance.,Extended Research,2021-05-18 09:14:31,19.0,12.0,1.0,2018-01-29 05:01:52,2018-08-02 05:56:49,chen-bowen/Computational_Finance,inactive,,
Financial Economics,https://github.com/rsvp/fecon235/tree/master/nb,Financial Economics Models.,Extended Research,2021-06-18 21:39:36,726.0,280.0,2.0,2014-11-09 04:49:01,2018-12-03 16:30:28,rsvp/fecon235,inactive,,
ITCH,https://github.com/martinobdl/ITCH,NEW,Extended Research,2021-06-19 17:03:58,71.0,27.0,3.0,2019-03-09 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,2021-06-18 07:24:06,440.0,150.0,4.0,2017-07-26 08:42:19,2018-08-24 13:35:39,Crypto-toolbox/HFT-Orderbook,inactive,,2021-04-21 01:25:51.827641
go-quantcup,https://github.com/rdingwall/go-quantcup,NEW,Extended Research,2021-05-31 02:35:13,74.0,36.0,1.0,2015-02-04 10:33:12,2015-06-11 12:50:09,rdingwall/go-quantcup,inactive,,2021-04-21 01:25:51.827641
finmath-lib,https://github.com/finmath/finmath-lib,NEW,Extended Research,2021-06-14 19:46:15,316.0,127.0,16.0,2013-03-17 10:00:22,2021-03-13 21:37:31,finmath/finmath-lib,active,,2021-04-21 01:25:51.827641
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,2021-06-17 07:17:36,686.0,448.0,9.0,2017-01-21 11:24:18,2020-08-01 17:03:32,Auquan/Tutorials,active,,
MIDAS,https://github.com/Stream-AD/MIDAS,NEW,Extended Research,2021-06-18 18:19:33,615.0,71.0,3.0,2019-10-23 03:50:50,2021-06-08 08:19:24,Stream-AD/MIDAS,active,,2021-04-21 01:25:51.827641
SumZeroTrading,https://github.com/rterp/SumZeroTrading,NEW,Extended Research,2021-06-17 19:24:06,129.0,44.0,1.0,2016-01-19 05:43:31,2018-08-30 22:44:52,rterp/SumZeroTrading,inactive,,2021-04-21 01:25:51.827641
448Project,https://github.com/HujiaYuYoyo/448Project,NEW,Extended Research,2021-05-31 07:28:47,67.0,45.0,4.0,2018-04-14 21:19:21,2018-06-10 09:29:37,HujiaYuYoyo/448Project,inactive,,2021-04-21 01:25:51.827641
Liquidity and Momentum,https://github.com/mrefermat/quant_finance,Various factors and portfolio constructions.,Extended Research,2021-06-02 16:38:16,31.0,17.0,1.0,2018-08-11 22:59:53,2019-11-12 04:49:01,mrefermat/quant_finance,active,,
Commodity,https://github.com/felipessalvatore/fin2vec/blob/master/src/Commodity2BR.ipynb,Commodity influence over Brazilian stocks.,Extended Research,,,,,,,felipessalvatore/fin2vec,,,
freqtrade_bot,https://github.com/michael-fourie/freqtrade_bot,NEW,Extended Research,2021-06-19 22:12:08,70.0,23.0,1.0,2020-12-21 00:14:25,2021-01-07 19:52:54,michael-fourie/freqtrade_bot,active,,2021-04-21 01:25:51.827641
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,,
Economic Foundations,https://github.com/SeanMcOwen/FinanceAndPython.com-EconomicFoundations,Basic economic models.,Extended Research,2020-10-06 21:01:59,2.0,4.0,1.0,2017-05-25 02:27:36,2017-06-30 03:53:59,SeanMcOwen/FinanceAndPython.com-EconomicFoundations,inactive,,
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,,
tribeca,https://github.com/michaelgrosner/tribeca,NEW,Extended Research,2021-06-19 09:23:13,3547.0,899.0,22.0,2015-07-07 18:40:45,2018-02-26 18:01:13,michaelgrosner/tribeca,inactive,,2021-04-21 01:25:51.827641
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,,
spartan,https://github.com/rigtorp/spartan,NEW,Extended Research,2021-06-12 19:19:28,166.0,62.0,1.0,2012-11-22 04:29:42,2015-10-31 03:46:06,rigtorp/spartan,inactive,,2021-04-21 01:25:51.827641
Backtests,https://github.com/AlgoTraders/stock-analysis-engine,Trading data and algorithms.,Extended Research,2021-06-19 15:12:54,653.0,181.0,3.0,2018-09-16 20:00:36,2020-09-05 13:01:05,AlgoTraders/stock-analysis-engine,active,,
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,,
Real Estate Property Fraud,https://github.com/aviroop1/Real_Estate_Property_Fraud,Unsupervised fraud detection model that can identify likely candidates of fraud.,Extended Research,,,,,,,aviroop1/Real_Estate_Property_Fraud,,,
Behavioural Economics,https://github.com/pcmichaud/notebooks,Behavioural Economics and Finance Python Notebooks.,Extended Research,2021-02-03 07:22:40,9.0,4.0,1.0,2018-12-20 00:21:38,2019-03-26 11:51:46,pcmichaud/notebooks,inactive,,
High Frequency,https://github.com/cswaney/prickle,A Python toolkit for high-frequency trade research.,Extended Research,2021-06-19 15:55:33,26.0,17.0,2.0,2016-07-06 20:32:21,2018-06-09 10:53:51,cswaney/prickle,inactive,,
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,,
kungfu,https://github.com/kungfu-origin/kungfu,NEW,Extended Research,2021-06-18 13:40:23,2379.0,869.0,7.0,2017-11-15 06:54:01,2020-06-03 12:04:41,kungfu-origin/kungfu,active,,2021-04-21 01:25:51.827641
HFTrader,https://github.com/DrAshBooth/HFTrader,NEW,Extended Research,2021-05-04 20:42:44,70.0,43.0,0.0,2012-12-03 13:57:19,2012-12-12 17:17:09,DrAshBooth/HFTrader,inactive,,2021-04-21 01:25:51.827641
AlphaTrading,https://github.com/jerryxyx/AlphaTrading,NEW,Factor and Risk Analysis,2021-06-09 02:31:50,152.0,77.0,1.0,2018-05-18 22:09:52,2018-08-07 18:05:37,jerryxyx/AlphaTrading,inactive,,37:06.3
Factor Analysis,https://github.com/alpha-miner/alpha-mind/tree/master/notebooks,Factor strategy notebooks.,Factor and Risk Analysis,2021-05-26 06:58:08,176.0,60.0,3.0,2017-05-01 07:36:54,2021-04-07 15:25:27,alpha-miner/alpha-mind,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 07:04:38,4.0,4.0,1.0,2017-08-07 14:44:32,2017-08-08 22:52:11,Jorgencr/Alternative-and-Responsible-Investments,inactive,,
simulate,https://github.com/leolle/simulate,NEW,Factor and Risk Analysis,2021-03-23 13:34:53,11.0,2.0,1.0,2017-06-04 15:18:21,2018-11-11 14:03:40,leolle/simulate,inactive,,23:57.7
Stock-Prediction,https://github.com/Ronak-59/Stock-Prediction,NEW,Factor and Risk Analysis,2021-05-21 17:30:59,138.0,68.0,2.0,2018-03-18 04:54:45,2020-02-28 11:43:07,Ronak-59/Stock-Prediction,active,,37:06.3
TradeFinexLive,https://github.com/XinFinOrg/TradeFinexLive,NEW,Factor and Risk Analysis,2021-03-18 09:48:52,5.0,12.0,8.0,2018-03-21 10:05:22,2021-03-18 09:48:32,XinFinOrg/TradeFinexLive,active,,23:57.7
Pyfolio,https://github.com/quantopian/pyfolio,Portfolio and risk analytics in Python.,Factor and Risk Analysis,2021-06-19 12:45:14,3855.0,1221.0,42.0,2015-06-01 15:31:39,2020-02-28 17:30:19,quantopian/pyfolio,active,,
Machine_learning_In_Finance,https://github.com/chaudharigauravi/Machine_learning_In_Finance,NEW,Factor and Risk Analysis,2020-11-27 19:23:33,8.0,3.0,1.0,2019-08-03 04:04:51,2019-08-03 04:05:32,chaudharigauravi/Machine_learning_In_Finance,active,,23:57.7
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
VaR GaN,https://github.com/hamaadshah/market_risk_gan_keras,Estimate Value-at-Risk for market risk management using Keras and TensorFlow.,Factor and Risk Analysis,2021-06-11 21:56:12,42.0,28.0,1.0,2018-08-06 16:09:44,2020-11-22 19:02:07,hamaadshah/market_risk_gan_tensorflow,active,,
Factor Analysis,https://github.com/garvit-kudesia91/factor_analysis/blob/master/Factor%20Analysis%20of%20Mutual%20Funds.ipynb,Factor analysis for mutual funds.,Factor and Risk Analysis,2020-12-21 14:26:46,3.0,4.0,1.0,2018-03-13 07:39:20,2018-03-13 07:42:36,garvit-kudesia91/factor_analysis,inactive,,
-L-,https://github.com/jettbrains/-L-,NEW,Factor and Risk Analysis,2021-03-15 03:05:00,6.0,17.0,1.0,2019-10-28 21:50:26,2019-10-28 21:51:19,jettbrains/-L-,active,,23:57.7
Performance Analysis,https://github.com/quantopian/alphalens,Performance analysis of predictive (alpha) stock factors.,Factor and Risk Analysis,2021-06-19 12:45:10,1950.0,742.0,17.0,2016-06-03 21:49:15,2020-04-27 18:40:41,quantopian/alphalens,active,,
ml-fraud-detection,https://github.com/georgymh/ml-fraud-detection,NEW,Extended Research,2021-06-17 15:05:39,122.0,92.0,2.0,2017-04-27 01:48:35,2018-01-31 21:17:26,georgymh/ml-fraud-detection,inactive,,2021-04-21 01:25:51.827641
Quant Finance,https://github.com/mrefermat/quant_finance,General quant repository.,Factor and Risk Analysis,2021-06-02 16:38:16,31.0,17.0,1.0,2018-08-11 22:59:53,2019-11-12 04:49:01,mrefermat/quant_finance,active,,
Risk and Return,https://github.com/PyDataBlog/Python-for-Data-Science/tree/master/Tutorials,Riskiness of portfolios and assets.,Factor and Risk Analysis,2021-06-05 14:54:12,148.0,63.0,2.0,2017-09-12 13:35:09,2020-08-06 12:35:44,PyDataBlog/Python-for-Data-Science,active,,
Risk Basic,https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%203%2C%20Risk.ipynb,Active portfolio risk management .,Factor and Risk Analysis,2021-03-01 13:53:42,31.0,18.0,1.0,2016-05-10 11:03:48,2016-05-17 03:44:56,RJT1990/Active-Portfolio-Management-Notes,inactive,,
CAPM,https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%202%2C%20CAPM.ipynb,Expected returns using CAPM.,Factor and Risk Analysis,2021-03-01 13:53:42,31.0,18.0,1.0,2016-05-10 11:03:48,2016-05-17 03:44:56,RJT1990/Active-Portfolio-Management-Notes,inactive,,
Python for Finance,https://github.com/yhilpisch/py4fi/tree/master/jupyter36,Various financial notebooks.,Factor and Risk Analysis,2021-06-19 08:11:59,1326.0,801.0,1.0,2014-12-15 11:23:34,2018-07-10 06:38:12,yhilpisch/py4fi,inactive,,
VaR,https://github.com/willb/var-notebook/blob/master/var-notebook/var-pdfs.ipynb,Value-at-risk calculations.,Factor and Risk Analysis,2021-03-31 02:06:48,10.0,9.0,1.0,2016-11-15 19:24:17,2017-01-14 21:19:30,willb/var-notebook,inactive,,
Convex Optimisation,https://github.com/ssanderson/convex-optimization-for-finance/blob/master/notebooks/Main.ipynb,Convex Optimization for Finance.,Factor and Risk Analysis,2021-04-08 19:02:22,18.0,11.0,1.0,2018-06-26 20:36:47,2019-10-22 21:56:46,ssanderson/convex-optimization-for-finance,active,,
Statistical Finance,https://github.com/mrefermat/FinancePhD/tree/master/FinancialExperiments,Various financial experiments.,Factor and Risk Analysis,2021-03-30 00:09:28,21.0,17.0,1.0,2015-10-04 09:10:54,2020-03-28 18:33:58,mrefermat/FinancePhD,active,,
Quantropy,https://github.com/AlainDaccache/Quantropy,NEW,Factor and Risk Analysis,2021-06-19 23:12:00,27.0,4.0,2.0,2020-06-13 15:34:25,2021-03-15 01:49:23,AlainDaccache/Quantropy,active,,2021-05-05 01:50:30.163258
rating_history,https://github.com/govwiki/rating_history,NEW,Fixed Income,2021-05-02 23:24:59,27.0,15.0,1.0,2017-11-23 22:52:14,2017-12-03 20:42:49,govwiki/rating_history,inactive,,24:33.4
DROP-Fixed-Income,https://github.com/lakshmiDRIP/DROP-Fixed-Income,NEW,Fixed Income,2021-06-16 02:44:50,20.0,10.0,1.0,2017-08-10 20:58:18,2018-09-26 19:21:02,lakshmiDRIP/DROP-Fixed-Income,inactive,,2021-06-17 01:50:56.302719
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,,
Corporate Bonds,https://github.com/ishank011/gs-quantify-bond-prediction,Predicting the buying and selling volume of the corporate bonds.,Fixed Income,2021-06-07 03:06:04,8.0,5.0,1.0,2017-09-27 19:57:13,2017-09-27 20:00:29,ishank011/gs-quantify-bond-prediction,inactive,,
woe,https://github.com/boredbird/woe,NEW,Fixed Income,2021-06-17 02:46:24,226.0,96.0,1.0,2017-09-11 07:15:04,2018-03-01 10:45:40,boredbird/woe,inactive,,24:33.4
Statistical Finance,https://github.com/mrefermat/FinancePhD/tree/master/FinancialExperiments,Various financial experiments.,Factor and Risk Analysis,2021-03-30 00:09:28,21.0,17.0,1.0,2015-10-04 09:10:54,2020-03-28 18:33:58,mrefermat/FinancePhD,active,,
Convex Optimisation,https://github.com/ssanderson/convex-optimization-for-finance/blob/master/notebooks/Main.ipynb,Convex Optimization for Finance.,Factor and Risk Analysis,2021-04-08 19:02:22,18.0,11.0,1.0,2018-06-26 20:36:47,2019-10-22 21:56:46,ssanderson/convex-optimization-for-finance,active,,
VaR,https://github.com/willb/var-notebook/blob/master/var-notebook/var-pdfs.ipynb,Value-at-risk calculations.,Factor and Risk Analysis,2021-03-31 02:06:48,10.0,9.0,1.0,2016-11-15 19:24:17,2017-01-14 21:19:30,willb/var-notebook,inactive,,
Python for Finance,https://github.com/yhilpisch/py4fi/tree/master/jupyter36,Various financial notebooks.,Factor and Risk Analysis,2021-06-19 08:11:59,1326.0,801.0,1.0,2014-12-15 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 13:53:42,31.0,18.0,1.0,2016-05-10 11:03:48,2016-05-17 03:44:56,RJT1990/Active-Portfolio-Management-Notes,inactive,,
Risk Basic,https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%203%2C%20Risk.ipynb,Active portfolio risk management .,Factor and Risk Analysis,2021-03-01 13:53:42,31.0,18.0,1.0,2016-05-10 11:03:48,2016-05-17 03:44:56,RJT1990/Active-Portfolio-Management-Notes,inactive,,
Risk and Return,https://github.com/PyDataBlog/Python-for-Data-Science/tree/master/Tutorials,Riskiness of portfolios and assets.,Factor and Risk Analysis,2021-06-05 14:54:12,148.0,63.0,2.0,2017-09-12 13:35:09,2020-08-06 12:35:44,PyDataBlog/Python-for-Data-Science,active,,
Performance Analysis,https://github.com/quantopian/alphalens,Performance analysis of predictive (alpha) stock factors.,Factor and Risk Analysis,2021-06-19 12:45:10,1950.0,742.0,17.0,2016-06-03 21:49:15,2020-04-27 18:40:41,quantopian/alphalens,active,,
Factor Analysis,https://github.com/alpha-miner/alpha-mind/tree/master/notebooks,Factor strategy notebooks.,Factor and Risk Analysis,2021-05-26 06:58:08,176.0,60.0,3.0,2017-05-01 07:36:54,2021-04-07 15:25:27,alpha-miner/alpha-mind,active,,
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,,
VaR GaN,https://github.com/hamaadshah/market_risk_gan_keras,Estimate Value-at-Risk for market risk management using Keras and TensorFlow.,Factor and Risk Analysis,2021-06-11 21:56:12,42.0,28.0,1.0,2018-08-06 16:09:44,2020-11-22 19:02:07,hamaadshah/market_risk_gan_tensorflow,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
Machine_learning_In_Finance,https://github.com/chaudharigauravi/Machine_learning_In_Finance,NEW,Factor and Risk Analysis,2020-11-27 19:23:33,8.0,3.0,1.0,2019-08-03 04:04:51,2019-08-03 04:05:32,chaudharigauravi/Machine_learning_In_Finance,active,,23:57.7
Pyfolio,https://github.com/quantopian/pyfolio,Portfolio and risk analytics in Python.,Factor and Risk Analysis,2021-06-19 12:45:14,3855.0,1221.0,42.0,2015-06-01 15:31:39,2020-02-28 17:30:19,quantopian/pyfolio,active,,
TradeFinexLive,https://github.com/XinFinOrg/TradeFinexLive,NEW,Factor and Risk Analysis,2021-03-18 09:48:52,5.0,12.0,8.0,2018-03-21 10:05:22,2021-03-18 09:48:32,XinFinOrg/TradeFinexLive,active,,23:57.7
Stock-Prediction,https://github.com/Ronak-59/Stock-Prediction,NEW,Factor and Risk Analysis,2021-05-21 17:30:59,138.0,68.0,2.0,2018-03-18 04:54:45,2020-02-28 11:43:07,Ronak-59/Stock-Prediction,active,,37:06.3
simulate,https://github.com/leolle/simulate,NEW,Factor and Risk Analysis,2021-03-23 13:34:53,11.0,2.0,1.0,2017-06-04 15:18:21,2018-11-11 14:03:40,leolle/simulate,inactive,,23:57.7
Various Risk Measures,https://github.com/Jorgencr/Alternative-and-Responsible-Investments/blob/master/Final_masterfile.ipynb,Risk measures and factors for alternative and responsible investments.,Factor and Risk Analysis,2020-11-04 07:04:38,4.0,4.0,1.0,2017-08-07 14:44:32,2017-08-08 22:52:11,Jorgencr/Alternative-and-Responsible-Investments,inactive,,
AlphaTrading,https://github.com/jerryxyx/AlphaTrading,NEW,Factor and Risk Analysis,2021-06-09 02:31:50,152.0,77.0,1.0,2018-05-18 22:09:52,2018-08-07 18:05:37,jerryxyx/AlphaTrading,inactive,,37:06.3
-L-,https://github.com/jettbrains/-L-,NEW,Factor and Risk Analysis,2021-03-15 03:05:00,6.0,17.0,1.0,2019-10-28 21:50:26,2019-10-28 21:51:19,jettbrains/-L-,active,,23:57.7
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
Binomial Tree,https://github.com/hy-lei/math-finance-exercise,Utility functions in fixed income securities.,Fixed Income,2020-10-06 20:55:18,1.0,2.0,1.0,2019-02-02 08:44:14,2019-05-03 17:16:52,hy-lei/math-finance-toolbox,inactive,,
MagentoExtensions,https://github.com/5mehulhelp5/MagentoExtensions,NEW,Fixed Income,2021-04-28 18:58:25,107.0,109.0,2.0,2014-07-03 05:45:54,2017-11-24 16:15:49,5mehulhelp5/MagentoExtensions,inactive,,24:33.4
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,2021-06-18 07:26:07,293.0,126.0,1.0,2018-06-29 21:21:17,2021-06-07 19:28:50,jjakimoto/finance_ml,active,1.0,39:24.6
Stock.Indicators,https://github.com/DaveSkender/Stock.Indicators,list of technical indicators implemented in c#. Full list and explanation available [here](https://daveskender.github.io/Stock.Indicators/docs/INDICATORS.html). This list contains several indicators that ta-lib does not cover,Other Models,2021-06-20 00:43:13,230.0,77.0,9.0,2019-12-29 05:18:07,2021-06-19 20:33:03,DaveSkender/Stock.Indicators,active,3.0,39:24.6
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,2021-05-13 10:31:49,177.0,92.0,1.0,2015-03-26 02:22:03,2015-03-26 02:33:51,PythonProgramming/Pattern-Recognition-for-Forex-Trading,inactive,1.0,39:24.6
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,2021-06-17 21:04:49,369.0,205.0,1.0,2019-10-10 09:44:02,2019-10-12 11:38:49,yacoubb/stock-trading-ml,active,3.0,39:24.6
Short-Term Movement Cues,https://github.com/anfederico/Clairvoyant,Identify social/historical cues for short term stock movement. Sklearn SVM model is used and good visualization coded in matplotlib,Other Models,2021-06-19 22:07:36,2193.0,702.0,1.0,2016-09-12 18:38:17,2018-08-29 20:27:19,anfederico/clairvoyant,inactive,3.0,
mlfinlab,https://github.com/hudson-and-thames/mlfinlab,open source library maintained by hudson and thames though much of the content has moved to a subscription model. Idea is to implement academic research in python code and aggregate it as a package. Sources from [Journal of financial data science](https://jfds.pm-research.com/) / [journal of portfolio management](https://jpm.pm-research.com/) / [journal of algorithmic finance](http://www.algorithmicfinance.org/) / [cambridge university press](https://www.cambridge.org/),Other Models,2021-06-18 08:54:36,2426.0,746.0,3.0,2019-02-13 16:57:25,2021-06-15 13:59:54,hudson-and-thames/mlfinlab,active,3.0,39:24.6
Machine-Learning-For-Finance,https://github.com/anthonyng2/Machine-Learning-For-Finance,accompanying materials for slide [here](https://github.com/anthonyng2/Machine-Learning-For-Finance/blob/master/Regression%20Based%20Machine%20Learning%20for%20Algorithmic%20Trading/Machine%20Learning%20-%20Linear%20Regression%20for%20Algo%20Trading%20v2017-07-13.pdf) covering more tradition quant trading topics like pair trading/kalman filter/trend following etc. Referecing interesting paper [characterization of financial time series](http://www.cs.ucl.ac.uk/fileadmin/UCL-CS/research/Research_Notes/RN_11_01.pdf),Other Models,2021-06-04 14:27:22,205.0,121.0,1.0,2017-07-11 09:09:15,2018-02-21 05:36:35,anthonyng2/Machine-Learning-For-Finance,inactive,2.0,39:24.6
botflow,https://github.com/kkyon/botflow,python dataflow programming framework. Similar and probably replaceable by sklearn.pipeline module. Uses [graphviz](https://graphviz.org/) for visiualization though not maintained with last commit over 3 years ago,Other Models,2021-06-19 05:36:13,1171.0,103.0,8.0,2018-08-20 03:13:31,2019-05-23 14:40:50,kkyon/botflow,inactive,2.0,39:24.6
Machine-Learning-for-Finance,https://github.com/PacktPublishing/Machine-Learning-for-Finance,repo for book [machine learning for finance](https://www.packtpub.com/product/machine-learning-for-finance/9781789136364) with heavier focus on machine learning and less on finance. Topics covered including computer vision/time series/nlp/generative models (i.e. autoencoder)/reinforcement learning/debugging ml systems,Other Models,2021-06-14 12:07:26,192.0,130.0,4.0,2018-03-15 06:28:00,2021-01-14 15:58:03,PacktPublishing/Machine-Learning-for-Finance,active,3.0,39:24.6
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,2021-06-17 15:59:19,105.0,31.0,2.0,2017-09-03 17:43:03,2018-09-12 18:58:38,amicks/Speculator,inactive,3.0,39:24.6
AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,machine learning framework built on sklearn and pandas. Support pyfolio/xgboost/lightgmb/catboost(gradient boosting on decision tress) etc. Examples include financial market prediction/sports prediction/kaggle. Configurations are set though yaml file for all model process including feature selection/grid search on parameters and aggregate results for each model,Other Models,2021-06-16 16:07:53,610.0,137.0,3.0,2016-02-14 00:47:32,2021-02-08 21:35:40,ScottfreeLLC/AlphaPy,active,4.0,39:24.6
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,2021-06-19 18:56:11,976.0,365.0,2.0,2017-02-12 04:50:44,2021-02-04 03:48:33,robertmartin8/MachineLearningStocks,active,3.0,
mosquito,https://github.com/miro-ka/mosquito,base framework trading bot for crypto. Stores data in local mongodb instance and supports backtest and live trading on [poloniex](https://poloniex.com/) and [bittrex](https://bittrex.com/) which are 12-15th ranked crypto exchanges by volume. Leverage [talib](https://github.com/mrjbq7/ta-lib) for ta data and [plotly](https://github.com/plotly/plotly.py) for visualization,Other Models,2021-06-16 04:31:41,241.0,45.0,2.0,2017-06-18 19:57:17,2021-03-14 22:22:00,miro-ka/mosquito,active,3.0,39:24.6
Microservices-Based-Algorithmic-Trading-System,https://github.com/saeed349/Microservices-Based-Algorithmic-Trading-System,docker based platfrom for developing algo trading strategies. Very interesting combinations of open source components were used including [backtrader](https://www.backtrader.com/) for backtest strategies / [mlflow](https://mlflow.org/) for managing the machine learning model life cycle (i.e. training and developing machine learning models) / [airflow](https://airflow.apache.org/) used as workflow management including schedule data download etc. / [superset](https://superset.apache.org/) web data visualization tool similar to tableau / [minio](https://min.io/) for fast object storage (i.e. storing saved models and model artifacts) / postgresql used to store security master and daily and minute data. Also contains some details on deployment on cloud,Other Models,2021-06-19 22:55:35,139.0,68.0,1.0,2020-01-06 00:21:58,2021-05-29 18:07:29,saeed349/Microservices-Based-Algorithmic-Trading-System,active,5.0,39:24.6
Trend Following,http://inseaddataanalytics.github.io/INSEADAnalytics/ExerciseSet2.html,A futures trend following portfolio investment strategy.,Other Models,,,,,,,,,,
ML_Finance_Codes,https://github.com/mfrdixon/ML_Finance_Codes,accompanying materials for book [Machine Learning in Finance](https://www.springer.com/gp/book/9783030410674) covering probabilistic modeling/sequence modeling/neural networks/reinforcement learning etc.,Other Models,2021-06-17 03:21:02,284.0,125.0,3.0,2019-09-27 16:13:50,2020-06-13 21:20:26,mfrdixon/ML_Finance_Codes,active,3.0,39:24.6
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,2021-06-18 22:15:59,428.0,134.0,1.0,2018-07-22 08:14:46,2021-06-04 15:59:04,Hvass-Labs/FinanceOps,active,3.0,
fin-ml,https://github.com/tatsath/fin-ml,accompanying materials for book [Machine Learning and Data Science Blueprints for Finance](https://www.amazon.com/Machine-Learning-Science-Blueprints-Finance/dp/1492073059) on top of basic machine learning models i.e. nlp/reinforcement learning/supervised & unsupervised learning it covers wider topics including robo-advisors/fraud detection/loan default/derivative pricing/yield curve construction.,Other Models,2021-06-17 03:18:48,143.0,92.0,2.0,2020-05-10 00:25:56,2021-01-23 17:15:07,tatsath/fin-ml,active,4.0,39:24.6
woe,https://github.com/boredbird/woe,NEW,Fixed Income,2021-06-17 02:46:24,226.0,96.0,1.0,2017-09-11 07:15:04,2018-03-01 10:45:40,boredbird/woe,inactive,,24:33.4
Binomial Tree,https://github.com/hy-lei/math-finance-exercise,Utility functions in fixed income securities.,Fixed Income,2020-10-06 20:55:18,1.0,2.0,1.0,2019-02-02 08:44:14,2019-05-03 17:16:52,hy-lei/math-finance-toolbox,inactive,,
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,,
DROP-Fixed-Income,https://github.com/lakshmiDRIP/DROP-Fixed-Income,NEW,Fixed Income,2021-06-16 02:44:50,20.0,10.0,1.0,2017-08-10 20:58:18,2018-09-26 19:21:02,lakshmiDRIP/DROP-Fixed-Income,inactive,,2021-06-17 01:50:56.302719
rating_history,https://github.com/govwiki/rating_history,NEW,Fixed Income,2021-05-02 23:24:59,27.0,15.0,1.0,2017-11-23 22:52:14,2017-12-03 20:42:49,govwiki/rating_history,inactive,,24:33.4
Corporate Bonds,https://github.com/ishank011/gs-quantify-bond-prediction,Predicting the buying and selling volume of the corporate bonds.,Fixed Income,2021-06-07 03:06:04,8.0,5.0,1.0,2017-09-27 19:57:13,2017-09-27 20:00:29,ishank011/gs-quantify-bond-prediction,inactive,,
Stanford-Project-Predicting-stock-prices-using-a-LSTM-Network,https://github.com/dduemig/Stanford-Project-Predicting-stock-prices-using-a-LSTM-Network,NEW,Other Models,2021-06-18 22:30:49,101.0,29.0,1.0,2019-02-19 17:40:43,2020-02-24 14:46:43,dduemig/Stanford-Project-Predicting-stock-prices-using-a-LSTM-Network,active,,2021-06-17 01:51:12.428196
Machine-Learning-for-Algorithmic-Trading-Bots-with-Python,https://github.com/PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Bots-with-Python,code repo for [machine learning for algorithmic trading bots](https://www.packtpub.com/application-development/machine-learning-algorithmic-trading-bots-python-video) video series. Contains notebooks and deep dive using [zipline](https://github.com/quantopian/zipline),Other Models,2021-06-19 20:53:00,189.0,104.0,5.0,2018-12-06 11:35:08,2021-01-18 06:40:53,PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Bots-with-Python,active,3.0,39:24.6
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,2021-06-19 14:49:40,1236.0,235.0,6.0,2020-08-30 07:56:22,2020-09-21 04:32:05,tradytics/surpriver,active,3.0,39:24.6
CryptoBot,https://github.com/AdeelMufti/CryptoBot,Hard fork of [bitpredit](https://github.com/cbyn/bitpredict) and form the trading strategy as a classification problem with -1 (sell) 0 (hold) 1 (buy). Models used are XGBClassifier/RandomForest/GradientBoosting. Not mentained,Other Models,2021-06-19 15:28:43,248.0,97.0,1.0,2017-01-17 12:44:52,2017-01-17 12:48:17,AdeelMufti/CryptoBot,inactive,2.0,39:24.6
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,2021-06-14 12:07:08,638.0,416.0,2.0,2019-05-07 11:04:25,2021-01-19 07:51:00,PacktPublishing/Hands-On-Machine-Learning-for-Algorithmic-Trading,active,5.0,39:24.6
awesome-ai-in-finance,https://github.com/georgezouq/awesome-ai-in-finance,curated list of books/online courses/papers on AI and finance. Topics include crypto trading strategies/ta/backter etc.,Other Models,2021-06-19 15:18:00,1023.0,178.0,8.0,2018-08-29 02:07:02,2021-04-25 00:19:57,georgezouq/awesome-ai-in-finance,active,3.0,39:24.6
Awesome-Quant-Machine-Learning-Trading,https://github.com/grananqvist/Awesome-Quant-Machine-Learning-Trading,curated list of books/online courses/youtube videos/blogs/interviews/papers/code etc. Updates are pretty infrequent,Other Models,2021-06-19 20:23:15,1092.0,340.0,3.0,2018-11-05 21:09:06,2020-10-08 16:48:18,grananqvist/Awesome-Quant-Machine-Learning-Trading,active,5.0,39:24.6
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,2021-06-19 16:26:33,329.0,153.0,4.0,2019-11-15 08:51:40,2021-01-21 07:56:08,PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original,active,4.0,39:24.6
fin-ml,https://github.com/tatsath/fin-ml,accompanying materials for book [Machine Learning and Data Science Blueprints for Finance](https://www.amazon.com/Machine-Learning-Science-Blueprints-Finance/dp/1492073059) on top of basic machine learning models i.e. nlp/reinforcement learning/supervised & unsupervised learning it covers wider topics including robo-advisors/fraud detection/loan default/derivative pricing/yield curve construction.,Other Models,2021-06-17 03:18:48,143.0,92.0,2.0,2020-05-10 00:25:56,2021-01-23 17:15:07,tatsath/fin-ml,active,4.0,39:24.6
Mixture Models II,https://github.com/BlackArbsCEO/mixture_model_trading_public,Mixture models and stock trading.,Other Models,2021-05-02 00:39:22,169.0,74.0,1.0,2017-12-11 17:05:38,2020-05-13 23:50:47,BlackArbsCEO/mixture_model_trading_public,active,3.0,
Machine-Learning-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,2021-06-17 15:58:42,270.0,103.0,1.0,2017-08-30 06:14:59,2019-10-29 08:14:39,PyPatel/Machine-Learning-and-AI-in-Trading,active,2.0,39:24.6
Mixture Models I,https://github.com/BlackArbsCEO/Mixture_Models,Mixture models to predict market bottoms and regime changes based on a seminar given to quantinsti in 2017 and summary and video is [here](https://blog.quantinsti.com/webinar-can-we-use-mixture-models-to-predict-market-bottoms/). Gaussian mixture models are build on markov models and expectation maximization thoery to detect regimes and seminar reported positive results using features asset returns/tedrate/10y2ysptread/10y3m spread from fred which can be access here [fredapi](https://github.com/mortada/fredapi). Though most of the returns came from being long equities after 2009 ,Other Models,2021-05-16 20:01:22,32.0,32.0,1.0,2017-03-20 18:54:24,2017-04-25 23:35:20,BlackArbsCEO/Mixture_Models,inactive,2.0,
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,2021-06-16 10:29:30,466.0,57.0,1.0,2016-03-11 19:13:00,2020-12-21 03:54:51,melling/MathAndScienceNotes,active,3.0,39:24.6
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,2021-06-19 20:23:15,1092.0,340.0,3.0,2018-11-05 21:09:06,2020-10-08 16:48:18,grananqvist/Awesome-Quant-Machine-Learning-Trading,active,5.0,39:24.6
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,2021-06-18 22:15:59,428.0,134.0,1.0,2018-07-22 08:14:46,2021-06-04 15:59:04,Hvass-Labs/FinanceOps,active,3.0,
Scikit-learn Stock Prediction,https://github.com/robertmartin8/MachineLearningStocks,using fundamental and pricing data to predict future stock returns. Sklearn's randomforest classifier is trainded and author claimed positive live trading results. Not actively mainained,Other Models,2021-06-19 18:56:11,976.0,365.0,2.0,2017-02-12 04:50:44,2021-02-04 03:48:33,robertmartin8/MachineLearningStocks,active,3.0,
Trend Following,http://inseaddataanalytics.github.io/INSEADAnalytics/ExerciseSet2.html,A futures trend following portfolio investment strategy.,Other Models,,,,,,,,,,
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,2021-06-18 07:26:07,293.0,126.0,1.0,2018-06-29 21:21:17,2021-06-07 19:28:50,jjakimoto/finance_ml,active,1.0,39:24.6
ML_Finance_Codes,https://github.com/mfrdixon/ML_Finance_Codes,accompanying materials for book [Machine Learning in Finance](https://www.springer.com/gp/book/9783030410674) covering probabilistic modeling/sequence modeling/neural networks/reinforcement learning etc.,Other Models,2021-06-17 03:21:02,284.0,125.0,3.0,2019-09-27 16:13:50,2020-06-13 21:20:26,mfrdixon/ML_Finance_Codes,active,3.0,39:24.6
Stock.Indicators,https://github.com/DaveSkender/Stock.Indicators,list of technical indicators implemented in c#. Full list and explanation available [here](https://daveskender.github.io/Stock.Indicators/docs/INDICATORS.html). This list contains several indicators that ta-lib does not cover,Other Models,2021-06-20 00:43:13,230.0,77.0,9.0,2019-12-29 05:18:07,2021-06-19 20:33:03,DaveSkender/Stock.Indicators,active,3.0,39:24.6
stock-trading-ml,https://github.com/yacoubb/stock-trading-ml,lstm model using keras to predict msft prices. Data is from [alphavantage](https://www.alphavantage.co/) which provides some free data through web services. Showing how to use concatenation layer to join timeseries data with TA data. Might be abit of overfitting on the model though,Other Models,2021-06-17 21:04:49,369.0,205.0,1.0,2019-10-10 09:44:02,2019-10-12 11:38:49,yacoubb/stock-trading-ml,active,3.0,39:24.6
Short-Term Movement Cues,https://github.com/anfederico/Clairvoyant,Identify social/historical cues for short term stock movement. Sklearn SVM model is used and good visualization coded in matplotlib,Other Models,2021-06-19 22:07:36,2193.0,702.0,1.0,2016-09-12 18:38:17,2018-08-29 20:27:19,anfederico/clairvoyant,inactive,3.0,
mlfinlab,https://github.com/hudson-and-thames/mlfinlab,open source library maintained by hudson and thames though much of the content has moved to a subscription model. Idea is to implement academic research in python code and aggregate it as a package. Sources from [Journal of financial data science](https://jfds.pm-research.com/) / [journal of portfolio management](https://jpm.pm-research.com/) / [journal of algorithmic finance](http://www.algorithmicfinance.org/) / [cambridge university press](https://www.cambridge.org/),Other Models,2021-06-18 08:54:36,2426.0,746.0,3.0,2019-02-13 16:57:25,2021-06-15 13:59:54,hudson-and-thames/mlfinlab,active,3.0,39:24.6
Machine-Learning-For-Finance,https://github.com/anthonyng2/Machine-Learning-For-Finance,accompanying materials for slide [here](https://github.com/anthonyng2/Machine-Learning-For-Finance/blob/master/Regression%20Based%20Machine%20Learning%20for%20Algorithmic%20Trading/Machine%20Learning%20-%20Linear%20Regression%20for%20Algo%20Trading%20v2017-07-13.pdf) covering more tradition quant trading topics like pair trading/kalman filter/trend following etc. Referecing interesting paper [characterization of financial time series](http://www.cs.ucl.ac.uk/fileadmin/UCL-CS/research/Research_Notes/RN_11_01.pdf),Other Models,2021-06-04 14:27:22,205.0,121.0,1.0,2017-07-11 09:09:15,2018-02-21 05:36:35,anthonyng2/Machine-Learning-For-Finance,inactive,2.0,39:24.6
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,2021-05-13 10:31:49,177.0,92.0,1.0,2015-03-26 02:22:03,2015-03-26 02:33:51,PythonProgramming/Pattern-Recognition-for-Forex-Trading,inactive,1.0,39:24.6
Machine-Learning-for-Finance,https://github.com/PacktPublishing/Machine-Learning-for-Finance,repo for book [machine learning for finance](https://www.packtpub.com/product/machine-learning-for-finance/9781789136364) with heavier focus on machine learning and less on finance. Topics covered including computer vision/time series/nlp/generative models (i.e. autoencoder)/reinforcement learning/debugging ml systems,Other Models,2021-06-14 12:07:26,192.0,130.0,4.0,2018-03-15 06:28:00,2021-01-14 15:58:03,PacktPublishing/Machine-Learning-for-Finance,active,3.0,39:24.6
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,2021-06-17 15:59:19,105.0,31.0,2.0,2017-09-03 17:43:03,2018-09-12 18:58:38,amicks/Speculator,inactive,3.0,39:24.6
AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,machine learning framework built on sklearn and pandas. Support pyfolio/xgboost/lightgmb/catboost(gradient boosting on decision tress) etc. Examples include financial market prediction/sports prediction/kaggle. Configurations are set though yaml file for all model process including feature selection/grid search on parameters and aggregate results for each model,Other Models,2021-06-16 16:07:53,610.0,137.0,3.0,2016-02-14 00:47:32,2021-02-08 21:35:40,ScottfreeLLC/AlphaPy,active,4.0,39:24.6
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,2021-06-16 04:31:41,241.0,45.0,2.0,2017-06-18 19:57:17,2021-03-14 22:22:00,miro-ka/mosquito,active,3.0,39:24.6
Microservices-Based-Algorithmic-Trading-System,https://github.com/saeed349/Microservices-Based-Algorithmic-Trading-System,docker based platfrom for developing algo trading strategies. Very interesting combinations of open source components were used including [backtrader](https://www.backtrader.com/) for backtest strategies / [mlflow](https://mlflow.org/) for managing the machine learning model life cycle (i.e. training and developing machine learning models) / [airflow](https://airflow.apache.org/) used as workflow management including schedule data download etc. / [superset](https://superset.apache.org/) web data visualization tool similar to tableau / [minio](https://min.io/) for fast object storage (i.e. storing saved models and model artifacts) / postgresql used to store security master and daily and minute data. Also contains some details on deployment on cloud,Other Models,2021-06-19 22:55:35,139.0,68.0,1.0,2020-01-06 00:21:58,2021-05-29 18:07:29,saeed349/Microservices-Based-Algorithmic-Trading-System,active,5.0,39:24.6
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,2021-06-19 05:36:13,1171.0,103.0,8.0,2018-08-20 03:13:31,2019-05-23 14:40:50,kkyon/botflow,inactive,2.0,39:24.6
Machine Learning in Asset Management,https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3420952,,Personal Papers,,,,,,,,,,
Machine Learning in Asset Management—Part 2: Portfolio Construction—Weight Optimization,https://jfds.pm-research.com/content/2/2/17,,Personal Papers,,,,,,,,,,
Financial Event Prediction using Machine Learning,https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3481555,,Personal Papers,,,,,,,,,,
Machine Learning in Asset Management—Part 1: Portfolio Construction—Trading Strategies,https://jfds.pm-research.com/content/2/1/10,,Personal Papers,,,,,,,,,,
node-finance,https://github.com/albertosantini/node-finance,NEW,Portfolio Selection and Optimisation,2021-05-27 04:16:16,105.0,26.0,3.0,2011-09-17 17:49:56,2021-04-05 08:01:12,albertosantini/node-finance,active,,37:19.5
Riskfolio-Lib,https://github.com/dcajasn/Riskfolio-Lib,NEW,Portfolio Selection and Optimisation,2021-06-17 06:33:49,491.0,77.0,1.0,2020-03-02 19:49:06,2021-06-13 07:23:13,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,,
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,2021-06-13 20:21:11,244.0,83.0,3.0,2018-11-16 12:20:25,2019-07-04 01:41:46,VivekPa/OptimalPortfolio,active,,
riskparity.py,https://github.com/dppalomar/riskparity.py,NEW,Portfolio Selection and Optimisation,2021-06-15 10:46:43,154.0,36.0,2.0,2019-07-13 21:30:55,2021-06-10 12:25:08,dppalomar/riskparity.py,active,,37:19.5
Modern Portfolio Theory,https://nbviewer.jupyter.org/github/Marigold/universal-portfolios/blob/master/modern-portfolio-theory.ipynb,Universal portfolios; modern portfolio theory.,Portfolio Selection and Optimisation,,,,,,,,,,
Efficient Frontier,https://github.com/tthustla/efficient_frontier/blob/master/Efficient%20_Frontier_implementation.ipynb,Modern Portfolio Theory.,Portfolio Selection and Optimisation,2021-06-04 21:11:53,108.0,60.0,1.0,2018-02-17 08:19:46,2018-02-27 13:16:57,tthustla/efficient_frontier,inactive,,
Deep Portfolio Theory,https://github.com/tcloaa/Deep-Portfolio-Theory,Autoencoder framework for portfolio selection.,Portfolio Selection and Optimisation,2021-06-05 05:01:47,107.0,60.0,1.0,2017-02-10 09:03:08,2018-03-08 16:47:00,tcloaa/Deep-Portfolio-Theory,inactive,,
DeepDow,https://github.com/jankrepl/deepdow,Portfolio optimization with deep learning.,Portfolio Selection and Optimisation,2021-06-17 08:23:50,352.0,65.0,2.0,2020-02-02 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,,,,,,,,,,
PyPortfolioOpt,https://github.com/robertmartin8/PyPortfolioOpt,"Financial portfolio optimisation, including classical efficient frontier and advanced methods.",Portfolio Selection and Optimisation,2021-06-19 21:19:55,2092.0,522.0,18.0,2018-05-29 13:30:30,2021-06-17 10:18:37,robertmartin8/PyPortfolioOpt,active,,
Policy Gradient Portfolio,https://github.com/ZhengyaoJiang/PGPortfolio,A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem.,Portfolio Selection and Optimisation,2021-06-19 16:38:54,1320.0,640.0,6.0,2017-11-12 16:08:44,2019-05-09 09:50:18,ZhengyaoJiang/PGPortfolio,inactive,,
OLMAR Algorithm,https://github.com/charlessutton/OLMAR/blob/master/Part3.ipynb,Relative importance of each component of the OLMAR algorithm.,Portfolio Selection and Optimisation,2021-06-17 19:20:53,8.0,4.0,1.0,2016-07-26 16:20:10,2016-12-30 11:40:53,charlessutton/OLMAR,inactive,,
Reinforcement Learning,https://github.com/filangel/qtrader,Reinforcement Learning for Portfolio Management.,Portfolio Selection and Optimisation,2021-06-15 08:26:52,366.0,152.0,1.0,2017-10-07 09:14:33,2018-06-26 09:22:27,filangelos/qtrader,inactive,,
PyPortfolioOpt,https://github.com/robertmartin8/PyPortfolioOpt,"Financial portfolio optimisation, including classical efficient frontier and advanced methods.",Portfolio Selection and Optimisation,2021-06-19 21:19:55,2092.0,522.0,18.0,2018-05-29 13:30:30,2021-06-17 10:18:37,robertmartin8/PyPortfolioOpt,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,,,,,,,,,,
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,2021-06-17 08:23:50,352.0,65.0,2.0,2020-02-02 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,2021-06-19 16:38:54,1320.0,640.0,6.0,2017-11-12 16:08:44,2019-05-09 09:50:18,ZhengyaoJiang/PGPortfolio,inactive,,
Deep Portfolio Theory,https://github.com/tcloaa/Deep-Portfolio-Theory,Autoencoder framework for portfolio selection.,Portfolio Selection and Optimisation,2021-06-05 05:01:47,107.0,60.0,1.0,2017-02-10 09:03:08,2018-03-08 16:47:00,tcloaa/Deep-Portfolio-Theory,inactive,,
Efficient Frontier,https://github.com/tthustla/efficient_frontier/blob/master/Efficient%20_Frontier_implementation.ipynb,Modern Portfolio Theory.,Portfolio Selection and Optimisation,2021-06-04 21:11:53,108.0,60.0,1.0,2018-02-17 08:19:46,2018-02-27 13:16:57,tthustla/efficient_frontier,inactive,,
Extensive NLP,https://github.com/TiesdeKok/Python_NLP_Tutorial/blob/master/NLP_Notebook.ipynb,Comprehensive NLP techniques for accounting research.,Textual,2021-06-17 13:23:01,80.0,45.0,1.0,2017-10-25 07:10:26,2020-06-05 03:28:46,TiesdeKok/Python_NLP_Tutorial,active,,
Financial Statement Sentiment,https://github.com/MAydogdu/TextualAnalysis,Extracting sentiment from financial statements using neural networks.,Textual,2021-05-07 20:35:27,11.0,7.0,1.0,2018-06-04 20:54:14,2018-06-04 20:56:02,MAydogdu/TextualAnalysis,inactive,,
FinBERT,https://github.com/psnonis/FinBERT,NEW,Textual,2021-06-11 18:36:39,144.0,47.0,3.0,2019-07-09 16:34:27,2020-05-19 02:02:20,psnonis/FinBERT,active,,24:28.5
awesome-financial-nlp,https://github.com/icoxfog417/awesome-financial-nlp,NEW,Textual,2021-06-19 10:38:28,240.0,39.0,2.0,2019-10-03 03:53:20,2020-02-01 08:28:16,icoxfog417/awesome-financial-nlp,active,,24:28.5
financial-news-dataset,https://github.com/philipperemy/financial-news-dataset,NEW,Textual,2021-06-14 04:24:35,157.0,77.0,1.0,2016-08-23 13:29:07,2021-03-04 06:34:24,philipperemy/financial-news-dataset,active,,24:28.5
node-finance,https://github.com/albertosantini/node-finance,NEW,Portfolio Selection and Optimisation,2021-05-27 04:16:16,105.0,26.0,3.0,2011-09-17 17:49:56,2021-04-05 08:01:12,albertosantini/node-finance,active,,37:19.5
401K Portfolio Optimisation,https://github.com/otosman/Python-for-Finance/blob/master/Portfolio%20Optimization%20401k.ipynb,Portfolio analyses and optimisation for 401K.,Portfolio Selection and Optimisation,2020-12-25 09:39:33,14.0,5.0,1.0,2018-08-01 19:48:24,2019-09-05 11:18:56,otosman/Python-for-Finance,active,,
Distribution Characteristic Optimisation,https://github.com/VivekPa/OptimalPortfolio,Extends classical portfolio optimisation to take the skewness and kurtosis of the distribution of market invariants into account.,Portfolio Selection and Optimisation,2021-06-13 20:21:11,244.0,83.0,3.0,2018-11-16 12:20:25,2019-07-04 01:41:46,VivekPa/OptimalPortfolio,active,,
Riskfolio-Lib,https://github.com/dcajasn/Riskfolio-Lib,NEW,Portfolio Selection and Optimisation,2021-06-17 06:33:49,491.0,77.0,1.0,2020-03-02 19:49:06,2021-06-13 07:23:13,dcajasn/Riskfolio-Lib,active,,37:19.5
riskparity.py,https://github.com/dppalomar/riskparity.py,NEW,Portfolio Selection and Optimisation,2021-06-15 10:46:43,154.0,36.0,2.0,2019-07-13 21:30:55,2021-06-10 12:25:08,dppalomar/riskparity.py,active,,37:19.5
NLP Event,https://github.com/yuriak/DLQuant,Applying Deep Learning and NLP in Quantitative Trading.,Textual,2021-06-11 05:42:05,72.0,32.0,1.0,2018-07-02 23:50:52,2019-01-31 14:08:20,yuriak/DLQuant,inactive,,
Financial Sentiment Analysis,https://github.com/EricHe98/Financial-Statements-Text-Analysis,"Sentiment, distance and proportion analysis for trading signals.",Textual,2021-04-30 10:07:46,50.0,27.0,1.0,2017-06-23 00:05:49,2019-01-26 03:35:55,EricHe98/Financial-Statements-Text-Analysis,inactive,,
news-emotion,https://github.com/dongyuanxin/news-emotion,NEW,Textual,2021-06-11 05:28:03,250.0,121.0,1.0,2017-09-14 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,2021-06-15 05:55:25,176.0,22.0,5.0,2020-05-21 09:59:56,2021-06-04 08:29:05,YangLinyi/FinNLP-Progress,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,2021-06-09 09:10:02,116.0,51.0,2.0,2017-05-24 12:36:38,2019-08-07 21:47:08,GitiHubi/deepAI,active,,
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,2021-06-07 06:46:18,109.0,24.0,3.0,2019-12-27 03:49:31,2020-12-04 03:38:57,A-Rain/BDCI2019-Negative_Finance_Info_Judge,active,,24:28.5
NLP,https://github.com/toamitesh/NLPinFinance,This project assembles a lot of NLP operations needed for finance domain.,Textual,,,,,,,toamitesh/NLPinFinance,,,
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,,
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,,
Accounting Anomalies,https://github.com/GitiHubi/deepAI/blob/master/GTC_2018_Lab-solutions.ipynb,Using deep-learning frameworks to identify accounting anomalies.,Textual,2021-06-09 09:10:02,116.0,51.0,2.0,2017-05-24 12:36:38,2019-08-07 21:47:08,GitiHubi/deepAI,active,,
FinNLP-Progress,https://github.com/YangLinyi/FinNLP-Progress,NEW,Textual,2021-06-15 05:55:25,176.0,22.0,5.0,2020-05-21 09:59:56,2021-06-04 08:29:05,YangLinyi/FinNLP-Progress,active,,24:28.5
Extensive NLP,https://github.com/TiesdeKok/Python_NLP_Tutorial/blob/master/NLP_Notebook.ipynb,Comprehensive NLP techniques for accounting research.,Textual,2021-06-17 13:23:01,80.0,45.0,1.0,2017-10-25 07:10:26,2020-06-05 03:28:46,TiesdeKok/Python_NLP_Tutorial,active,,
Financial Statement Sentiment,https://github.com/MAydogdu/TextualAnalysis,Extracting sentiment from financial statements using neural networks.,Textual,2021-05-07 20:35:27,11.0,7.0,1.0,2018-06-04 20:54:14,2018-06-04 20:56:02,MAydogdu/TextualAnalysis,inactive,,
Buzzwords,https://github.com/swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds,Return performance and mutual fund selection.,Textual,2020-10-06 18:54:58,1.0,4.0,1.0,2018-02-04 21:51:16,2018-02-04 21:57:09,swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds,inactive,,
news-emotion,https://github.com/dongyuanxin/news-emotion,NEW,Textual,2021-06-11 05:28:03,250.0,121.0,1.0,2017-09-14 02:59:03,2018-06-11 13:47:51,dongyuanxin/news-emotion,inactive,,24:28.5
BDCI2019-Negative_Finance_Info_Judge,https://github.com/A-Rain/BDCI2019-Negative_Finance_Info_Judge,NEW,Textual,2021-06-07 06:46:18,109.0,24.0,3.0,2019-12-27 03:49:31,2020-12-04 03:38:57,A-Rain/BDCI2019-Negative_Finance_Info_Judge,active,,24:28.5
Financial Sentiment Analysis,https://github.com/EricHe98/Financial-Statements-Text-Analysis,"Sentiment, distance and proportion analysis for trading signals.",Textual,2021-04-30 10:07:46,50.0,27.0,1.0,2017-06-23 00:05:49,2019-01-26 03:35:55,EricHe98/Financial-Statements-Text-Analysis,inactive,,
NLP Event,https://github.com/yuriak/DLQuant,Applying Deep Learning and NLP in Quantitative Trading.,Textual,2021-06-11 05:42:05,72.0,32.0,1.0,2018-07-02 23:50:52,2019-01-31 14:08:20,yuriak/DLQuant,inactive,,
awesome-financial-nlp,https://github.com/icoxfog417/awesome-financial-nlp,NEW,Textual,2021-06-19 10:38:28,240.0,39.0,2.0,2019-10-03 03:53:20,2020-02-01 08:28:16,icoxfog417/awesome-financial-nlp,active,,24:28.5
financial-news-dataset,https://github.com/philipperemy/financial-news-dataset,NEW,Textual,2021-06-14 04:24:35,157.0,77.0,1.0,2016-08-23 13:29:07,2021-03-04 06:34:24,philipperemy/financial-news-dataset,active,,24:28.5
FinBERT,https://github.com/psnonis/FinBERT,NEW,Textual,2021-06-11 18:36:39,144.0,47.0,3.0,2019-07-09 16:34:27,2020-05-19 02:02:20,psnonis/FinBERT,active,,24:28.5
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,2021-05-30 13:10:42,38.0,11.0,1.0,2018-09-05 05:29:18,2020-04-09 21:40:04,Gustrigos/Eigen-Portfolio,active,,24:29.9
Industry Clustering,https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries,Clustering of industries.,Unsupervised,2020-10-06 18:51:22,4.0,6.0,1.0,2017-07-21 02:12:51,2017-07-23 02:53:37,SeanMcOwen/FinanceAndPython.com-ClusteringIndustries,inactive,,
Stock_Support_Resistance_ML,https://github.com/judopro/Stock_Support_Resistance_ML,NEW,Unsupervised,2021-06-14 04:42:09,20.0,16.0,1.0,2019-12-22 20:25:48,2021-05-02 04:25:21,judopro/Stock_Support_Resistance_ML,active,,2021-05-07 01:53:28.160570
all-classification-templetes-for-ML,https://github.com/sayantann11/all-classification-templetes-for-ML,NEW,Unsupervised,2021-06-09 14:53:38,31.0,14.0,1.0,2020-05-05 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 18:51:22,4.0,6.0,1.0,2017-07-21 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
@@ -401,4 +402,4 @@ Pairs Trading,https://github.com/marketneutral/pairs-trading-with-ML/blob/master
Credit-Card-Fraud-Detection,https://github.com/sharmaroshan/Credit-Card-Fraud-Detection,NEW,Unsupervised,2020-12-28 10:41:20,10.0,5.0,1.0,2019-03-31 05:33:17,2019-03-31 05:38:43,sharmaroshan/Credit-Card-Fraud-Detection,inactive,,24:29.9
VRA Stock Embedding,https://github.com/ml-hongkong/stock2vec,Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history.,Unsupervised,2021-06-15 10:58:58,32.0,11.0,1.0,2017-06-21 04:47:14,2017-06-21 04:51:13,ml-hongkong/stock2vec,inactive,,
Fund Clusters,https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb,Data exploration of fund clusters.,Unsupervised,2021-03-31 02:12:50,4.0,3.0,1.0,2018-04-16 22:18:55,2018-06-07 22:01:32,frechfrechfrech/Mutual-Fund-Market-Clusters,inactive,,
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,,,
Stock_Support_Resistance_ML,https://github.com/judopro/Stock_Support_Resistance_ML,NEW,Unsupervised,2021-06-14 04:42:09,20.0,16.0,1.0,2019-12-22 20:25:48,2021-05-02 04:25:21,judopro/Stock_Support_Resistance_ML,active,,2021-05-07 01:53:28.160570
1 name url comment category last_update star_count fork_count contributors_count created_at last_commit repo_path repo_status rating finml_added_date
12 Blockchain https://github.com/nud3l/dInvest Repository for distributed autonomous investment banking. Alternative Finance 2021-02-06 07:38:28 12.0 7.0 2.0 2016-09-05 19:12:40 2017-04-24 10:48:56 nud3l/dInvest inactive
13 Private Equity https://github.com/TheVinhLuong102/ChicagoBooth-EntrepreneurialFinancePrivateEquity/blob/master/RightNow%20Technologies/RightNow%20Technologies.ipynb Valuation models. Alternative Finance 2020-11-26 03:34:45 8.0 6.0 2.0 2016-01-27 21:13:33 2016-03-14 20:03:52 TheVinhLuong102/ChicagoBooth-EntrepreneurialFinancePrivateEquity inactive
14 pitch-deck https://github.com/joelparkerhenderson/pitch-deck NEW Alternative Finance 2021-06-18 10:06:31 163.0 41.0 2.0 2016-09-17 01:30:26 2021-05-19 19:49:27 joelparkerhenderson/pitch-deck active 2021-05-24 02:12:13.615391
15 Stanford Advanced Financial Technologies Oxford Man https://fintech.stanford.edu/ https://www.oxford-man.ox.ac.uk/ Stanford Advanced Financial Technologies Laboratory Oxford-Man Institute of Quantitative Finance Colleges Centers and Departments
Cornell University https://www.cornell.edu/ Colleges Centers and Departments
NYU FRE https://engineering.nyu.edu/academics/departments/finance-and-risk-engineering Finance and Risk Engineering (NYU Tandon) Colleges Centers and Departments
16 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
17 NYU Courant https://cims.nyu.edu/ Courant Institute of Mathematical Sciences, New York University Colleges Centers and Departments
18 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
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 2021-06-19 18:52:30 447.0 50.0 4.0 2015-04-02 20:51:50 2021-06-19 18:52:16 cirosantilli/china-dictatorship active 2021-04-19 01:25:20.750834
20 DataCamp NYU FRE https://github.com/wblakecannon/DataCamp https://engineering.nyu.edu/academics/departments/finance-and-risk-engineering NEW Finance and Risk Engineering (NYU Tandon) Courses Colleges Centers and Departments 2021-05-15 10:12:20 1167.0 1369.0 28.0 2017-09-18 20:51:08 2020-10-01 20:13:05 wblakecannon/DataCamp active 2021-04-19 01:25:20.750834
21 stanford-cs229 Introduction-to-Machine-Learning https://github.com/zyxue/stanford-cs229 https://github.com/codeheroku/Introduction-to-Machine-Learning NEW Courses 2021-06-15 01:20:29 2021-06-14 16:08:20 518.0 293.0 295.0 777.0 2.0 3.0 2017-10-31 23:01:08 2019-02-09 12:07:52 2020-01-14 03:24:16 2020-11-28 08:44:08 zyxue/stanford-cs229 codeheroku/Introduction-to-Machine-Learning active 2021-04-19 01:25:20.750834
22 DataScienceSpCourseNotes ppd599 https://github.com/sux13/DataScienceSpCourseNotes https://github.com/gboeing/ppd599 NEW Courses 2021-06-11 18:55:39 2021-06-17 05:03:08 710.0 1084.0 2402.0 460.0 10.0 1.0 2015-03-09 00:51:32 2015-09-01 19:59:59 2016-02-16 06:12:54 2021-05-12 00:29:25 sux13/DataScienceSpCourseNotes gboeing/ppd599 inactive active 2021-04-19 01:25:20.750834
23 stanford-cs231 mlcourse https://github.com/machinelearningnanodegree/stanford-cs231 https://github.com/davidrosenberg/mlcourse NEW Courses 2021-05-18 18:13:19 2021-06-17 17:58:24 251.0 411.0 122.0 223.0 4.0 9.0 2016-09-05 01:40:41 2015-10-11 22:18:25 2017-02-03 16:46:46 2021-03-14 01:19:08 machinelearningnanodegree/stanford-cs231 davidrosenberg/mlcourse inactive active 2021-04-19 01:25:20.750834
24 courses ml-mipt https://github.com/DataScienceSpecialization/courses https://github.com/girafe-ai/ml-mipt NEW Courses 2021-06-18 08:26:24 2021-06-17 08:49:54 3777.0 535.0 30824.0 382.0 13.0 7.0 2014-01-21 10:22:57 2019-02-01 16:20:39 2016-03-16 12:13:44 2020-11-04 10:56:04 DataScienceSpecialization/courses girafe-ai/ml-mipt inactive active 2021-04-19 01:25:20.750834
25 DataScienceCourse DAT4 https://github.com/briandalessandro/DataScienceCourse https://github.com/justmarkham/DAT4 NEW Courses 2021-06-18 10:48:03 2021-06-02 14:44:28 596.0 754.0 740.0 658.0 13.0 3.0 2014-10-01 08:45:51 2014-12-10 19:38:29 2020-12-20 13:03:56 2021-02-15 23:26:27 briandalessandro/DataScienceCourse justmarkham/DAT4 active 2021-04-19 01:25:20.750834
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93 Developing_Data_Products Basic Investments https://github.com/DataScienceSpecialization/Developing_Data_Products https://github.com/SeanMcOwen/FinanceAndPython.com-Investments NEW Basic investment tools in python. Courses 2021-05-20 13:53:17 2021-03-23 06:32:10 200.0 9.0 1285.0 7.0 2.0 1.0 2016-08-25 19:47:39 2017-08-02 21:52:19 2017-07-31 15:11:59 2017-08-17 03:24:53 DataScienceSpecialization/Developing_Data_Products SeanMcOwen/FinanceAndPython.com-Investments inactive 2021-05-24 02:12:43.928732
94 Play-with-Machine-Learning-Algorithms PyMLSlides https://github.com/liuyubobobo/Play-with-Machine-Learning-Algorithms https://github.com/dmitriydligach/PyMLSlides NEW Courses 2021-06-16 11:35:53 2021-05-23 19:18:37 1063.0 279.0 568.0 118.0 1.0 0.0 2017-10-17 23:13:24 2017-06-05 13:59:15 2020-11-10 08:26:50 2020-10-06 21:34:43 liuyubobobo/Play-with-Machine-Learning-Algorithms dmitriydligach/PyMLSlides active 2021-04-19 01:25:20.750834
mlcourse.ai https://github.com/Yorko/mlcourse.ai NEW Courses 2021-06-19 18:51:09 7677.0 5063.0 190.0 2017-02-27 08:32:20 2021-05-25 11:07:37 Yorko/mlcourse.ai active 2021-04-19 01:25:20.750834
Stanford-Machine-Learning-Course https://github.com/zhouxc/Stanford-Machine-Learning-Course NEW Courses 2021-05-14 04:03:06 512.0 365.0 1.0 2011-12-25 10:00:48 2011-12-25 10:01:12 zhouxc/Stanford-Machine-Learning-Course inactive 2021-04-19 01:25:20.750834
ML_course https://github.com/epfml/ML_course NEW Courses 2021-06-16 14:31:13 656.0 516.0 1.0 2016-07-13 15:37:38 2021-06-08 13:49:10 epfml/ML_course active 2021-04-19 01:25:20.750834
machine-learning-resources https://github.com/datascienceid/machine-learning-resources NEW Courses 2021-06-15 07:41:23 244.0 89.0 4.0 2018-04-09 15:10:08 2019-07-30 14:25:27 datascienceid/machine-learning-resources active 2021-04-19 01:25:20.750834
machine-learning-programming-assignments-coursera-andrew-ng https://github.com/AvaisP/machine-learning-programming-assignments-coursera-andrew-ng NEW Courses 2021-06-15 15:25:30 376.0 329.0 1.0 2016-08-20 18:05:22 2016-09-05 19:14:41 AvaisP/machine-learning-programming-assignments-coursera-andrew-ng inactive 2021-04-19 01:25:20.750834
Machine-Learning-by-Andrew-Ng-in-Python https://github.com/Benlau93/Machine-Learning-by-Andrew-Ng-in-Python NEW Courses 2021-06-08 19:54:11 248.0 200.0 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
MTH594_MachineLearning https://github.com/diefimov/MTH594_MachineLearning NEW Courses 2021-06-18 17:45:58 332.0 135.0 1.0 2016-03-09 07:35:19 2017-03-31 21:46:26 diefimov/MTH594_MachineLearning inactive 2021-04-19 01:25:20.750834
Artificial-Intelligence-and-Machine-Learning https://github.com/emilmont/Artificial-Intelligence-and-Machine-Learning NEW Courses 2021-06-14 01:21:23 514.0 301.0 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
stat479-machine-learning-fs18 https://github.com/rasbt/stat479-machine-learning-fs18 NEW Courses 2021-06-04 08:22:41 423.0 207.0 1.0 2018-09-06 00:30:56 2018-12-20 23:45:13 rasbt/stat479-machine-learning-fs18 inactive 2021-04-19 01:25:20.750834
zero-to-mastery-ml https://github.com/mrdbourke/zero-to-mastery-ml NEW Courses 2021-06-18 21:31:29 759.0 1327.0 15.0 2019-09-23 04:56:51 2021-06-09 00:10:06 mrdbourke/zero-to-mastery-ml active 2021-04-19 01:25:20.750834
stat479-machine-learning-fs19 https://github.com/rasbt/stat479-machine-learning-fs19 NEW Courses 2021-06-03 04:03:48 651.0 225.0 1.0 2019-08-07 07:36:20 2020-11-28 00:04:07 rasbt/stat479-machine-learning-fs19 active 2021-04-19 01:25:20.750834
machine-learning-coursera https://github.com/yhyap/machine-learning-coursera NEW Courses 2021-06-14 01:21:25 230.0 196.0 1.0 2013-05-03 09:41:53 2013-05-05 11:58:38 yhyap/machine-learning-coursera inactive 2021-04-19 01:25:20.750834
DAT4 https://github.com/justmarkham/DAT4 NEW Courses 2021-06-02 14:44:28 754.0 658.0 3.0 2014-12-10 19:38:29 2021-02-15 23:26:27 justmarkham/DAT4 active 2021-04-19 01:25:20.750834
ml-mipt https://github.com/girafe-ai/ml-mipt NEW Courses 2021-06-17 08:49:54 535.0 382.0 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
mlcourse https://github.com/davidrosenberg/mlcourse NEW Courses 2021-06-17 17:58:24 411.0 223.0 9.0 2015-10-11 22:18:25 2021-03-14 01:19:08 davidrosenberg/mlcourse active 2021-04-19 01:25:20.750834
ppd599 https://github.com/gboeing/ppd599 NEW Courses 2021-06-17 05:03:08 1084.0 460.0 1.0 2015-09-01 19:59:59 2021-05-12 00:29:25 gboeing/ppd599 active 2021-04-19 01:25:20.750834
Introduction-to-Machine-Learning https://github.com/codeheroku/Introduction-to-Machine-Learning NEW Courses 2021-06-14 16:08:20 293.0 777.0 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
awesome-ml-courses https://github.com/luspr/awesome-ml-courses NEW Courses 2021-06-18 16:55:27 2011.0 221.0 4.0 2020-05-08 20:41:59 2021-02-18 20:26:31 luspr/awesome-ml-courses active 2021-04-19 01:25:20.750834
machine-learning-notebooks https://github.com/krasserm/machine-learning-notebooks NEW Courses 2021-06-11 17:03:50 299.0 126.0 1.0 2017-07-24 10:21:05 2020-09-07 12:48:43 krasserm/machine-learning-notebooks active 2021-04-19 01:25:20.750834
MachineLearningWithPython https://github.com/JerryKurata/MachineLearningWithPython NEW Courses 2021-06-16 06:21:31 230.0 348.0 1.0 2016-04-24 21:20:10 2021-04-15 18:17:30 JerryKurata/MachineLearningWithPython active 2021-04-19 01:25:20.750834
ml-course-msu https://github.com/esokolov/ml-course-msu NEW Courses 2021-06-16 14:03:55 769.0 303.0 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 2021-05-31 19:56:04 227.0 199.0 1.0 2015-05-16 02:29:54 2016-03-18 16:20:30 justmarkham/DAT7 inactive 2021-04-19 01:25:20.750834
ciml https://github.com/hal3/ciml NEW Courses 2021-06-16 14:13:56 781.0 219.0 2.0 2015-08-12 19:26:00 2017-01-20 16:24:19 hal3/ciml inactive 2021-04-19 01:25:20.750834
DAT3 https://github.com/justmarkham/DAT3 NEW Courses 2021-06-16 15:25:59 626.0 372.0 4.0 2014-09-18 20:30:19 2020-05-19 09:21:02 justmarkham/DAT3 active 2021-04-19 01:25:20.750834
Coursera-Stanford-ML-Python https://github.com/mstampfer/Coursera-Stanford-ML-Python NEW Courses 2021-05-31 14:10:47 407.0 232.0 3.0 2015-10-28 19:51:00 2016-09-02 00:21:30 mstampfer/Coursera-Stanford-ML-Python inactive 2021-04-19 01:25:20.750834
2014 https://github.com/cs109/2014 NEW Courses 2021-05-17 01:31:57 309.0 765.0 4.0 2014-07-21 22:46:20 2014-12-17 14:37:02 cs109/2014 inactive 2021-04-19 01:25:20.750834
DP100 https://github.com/MicrosoftLearning/DP100 NEW Courses 2021-06-18 07:24:23 501.0 517.0 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 2021-06-18 09:39:11 210.0 62.0 1.0 2015-03-28 08:38:27 2021-04-26 18:35:26 rudeboybert/JSE_OkCupid active 2021-04-19 01:25:20.750834
master https://github.com/ML-course/master NEW Courses 2021-06-03 03:57:21 341.0 174.0 11.0 2017-02-04 22:44:35 2021-04-23 22:36:34 ML-course/master active 2021-04-19 01:25:20.750834
machine-learning-course https://github.com/instillai/machine-learning-course NEW Courses 2021-06-18 13:39:40 6674.0 1223.0 9.0 2019-02-15 00:23:19 2020-04-21 03:19:12 instillai/machine-learning-course active 2021-04-19 01:25:20.750834
dive-into-machine-learning https://github.com/hangtwenty/dive-into-machine-learning NEW Courses 2021-06-19 19:40:48 10581.0 1940.0 30.0 2015-02-22 23:48:16 2021-03-15 05:34:55 hangtwenty/dive-into-machine-learning active 2021-04-19 01:25:20.750834
deploying-machine-learning-models https://github.com/trainindata/deploying-machine-learning-models NEW Courses 2021-06-18 11:53:57 310.0 2892.0 2.0 2019-01-09 20:30:46 2021-06-18 11:53:49 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 2021-06-08 10:13:19 261.0 516.0 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 2021-06-20 01:08:32 2410.0 842.0 11.0 2018-05-09 18:33:40 2020-06-03 21:08:32 GoogleCloudPlatform/tensorflow-without-a-phd active 2021-04-19 01:25:20.750834
Udemy---Machine-Learning https://github.com/jmportilla/Udemy---Machine-Learning NEW Courses 2021-06-15 09:17:29 208.0 408.0 3.0 2015-04-27 22:44:40 2016-07-06 23:58:33 jmportilla/Udemy---Machine-Learning inactive 2021-04-19 01:25:20.750834
machine-learning-coursera-1 https://github.com/Borye/machine-learning-coursera-1 NEW Courses 2021-06-16 04:21:36 1111.0 937.0 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
Open Edgar https://github.com/LexPredict/openedgar Data 2021-06-05 05:08:02 180.0 64.0 6.0 2018-05-07 15:32:31 2019-05-15 08:32:30 LexPredict/openedgar inactive
SEC Parsing https://github.com/healthgradient/sec-doc-info-extraction/blob/master/classify_sections_containing_relevant_information.ipynb Data 2021-02-27 06:34:55 9.0 6.0 1.0 2018-06-16 14:30:06 2018-06-16 17:23:46 healthgradient/sec-doc-info-extraction inactive
Employee Count SEC Filings https://github.com/healthgradient/sec_employee_information_extraction Data 2021-04-18 03:25:43 11.0 2.0 1.0 2018-06-26 23:33:51 2018-08-14 01:31:13 healthgradient/sec_employee_information_extraction inactive
IRS http://social-metrics.org/sox/ Data
EDGAR https://github.com/TiesdeKok/UW_Python_Camp/blob/master/Materials/Session_5/EDGAR_walkthrough.ipynb Data 2021-04-29 12:51:47 12.0 11.0 1.0 2018-06-11 22:51:57 2018-07-10 18:03:52 TiesdeKok/UW_Python_Camp inactive
Capital Markets Data https://www.capitalmarketsdata.com/ Data
Financial Corporate http://raw.rutgers.edu/Corporate%20Financial%20Data.html Data
https://github.com/timestocome/StockMarketData https://github.com/timestocome/StockMarketData Data 2021-05-12 12:24:53 7.0 5.0 1.0 2017-05-10 21:49:45 2017-08-06 19:23:18 timestocome/StockMarketData inactive
Web Scraping (FirmAI) https://github.com/firmai/business-machine-learning/blob/master/www.firmai.org/data Data 2021-06-15 23:11:43 585.0 189.0 2.0 2019-02-19 19:02:59 2020-07-22 16:48:21 firmai/business-machine-learning active
95 Non-financial Corporate http://raw.rutgers.edu/Non-Financial%20Corporate%20Data.html Data
https://fred.stlouisfed.org/ https://fred.stlouisfed.org/ Data
http://finance.yahoo.com/ http://finance.yahoo.com/ Data
Rating Industries http://www.ratingshistory.info/ Data
96 https://stooq.com https://stooq.com Data
97 finserv-application-blueprint Rating Industries https://github.com/mapr-demos/finserv-application-blueprint http://www.ratingshistory.info/ 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 Data 2021-06-08 14:08:51 73.0 53.0 5.0 2016-09-26 19:42:54 2021-06-07 17:38:13 mapr-demos/finserv-application-blueprint active 2.0 12:49.2
98 Advanced ML http://finance.yahoo.com/ https://github.com/BlackArbsCEO/Adv_Fin_ML_Exercises http://finance.yahoo.com/ 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 2021-06-19 19:02:17 1031.0 451.0 4.0 2018-04-25 17:22:40 2020-01-16 17:25:41 BlackArbsCEO/Adv_Fin_ML_Exercises active 4.0
99 Twitter-Trends https://fred.stlouisfed.org/ https://github.com/Medha11/Twitter-Trends https://fred.stlouisfed.org/ sentiment analysis baed on twitter data. Relevant topics include data cleaning/tokenization/data aggregation using mangodb etc. Data Processing Techniques and Transformations Data 2021-06-17 07:36:15 71.0 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
100 CryptoNets Web Scraping (FirmAI) https://github.com/microsoft/CryptoNets https://github.com/firmai/business-machine-learning/blob/master/www.firmai.org/data CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with [Homomorphic Encryption](https://www.cs.cmu.edu/~odonnell/hits09/gentry-homomorphic-encryption.pdf). Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted. Data Processing Techniques and Transformations Data 2021-06-12 18:53:10 2021-06-15 23:11:43 160.0 585.0 46.0 189.0 4.0 2.0 2019-06-02 05:48:39 2019-02-19 19:02:59 2019-09-12 13:03:05 2020-07-22 16:48:21 microsoft/CryptoNets firmai/business-machine-learning active 2.0 12:49.2
101 IRS http://social-metrics.org/sox/ Data
102 Financial Corporate http://raw.rutgers.edu/Corporate%20Financial%20Data.html Data
103 Capital Markets Data https://www.capitalmarketsdata.com/ Data
104 EDGAR https://github.com/TiesdeKok/UW_Python_Camp/blob/master/Materials/Session_5/EDGAR_walkthrough.ipynb Data 2021-04-29 12:51:47 12.0 11.0 1.0 2018-06-11 22:51:57 2018-07-10 18:03:52 TiesdeKok/UW_Python_Camp inactive
105 https://github.com/timestocome/StockMarketData https://github.com/timestocome/StockMarketData Data 2021-05-12 12:24:53 7.0 5.0 1.0 2017-05-10 21:49:45 2017-08-06 19:23:18 timestocome/StockMarketData inactive
106 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
107 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
108 Open Edgar https://github.com/LexPredict/openedgar Data 2021-06-05 05:08:02 180.0 64.0 6.0 2018-05-07 15:32:31 2019-05-15 08:32:30 LexPredict/openedgar inactive
109 cointrader https://github.com/timolson/cointrader java based platform for trading crypto. Relevant sections including using esper event queries to transform data and place orders Data Processing Techniques and Transformations 2021-06-18 15:51:10 363.0 144.0 9.0 2014-06-01 01:14:12 2021-05-19 17:05:49 timolson/cointrader active 2.0 12:49.2
110 CryptoNets https://github.com/microsoft/CryptoNets CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with [Homomorphic Encryption](https://www.cs.cmu.edu/~odonnell/hits09/gentry-homomorphic-encryption.pdf). Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted. Data Processing Techniques and Transformations 2021-06-12 18:53:10 160.0 46.0 4.0 2019-06-02 05:48:39 2019-09-12 13:03:05 microsoft/CryptoNets active 2.0 12:49.2
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 LTSM Recurrent Advanced ML https://github.com/VivekPa/AIAlpha https://github.com/BlackArbsCEO/Adv_Fin_ML_Exercises OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network. 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) Deep Learning And Reinforcement Learning Data Processing Techniques and Transformations 2021-06-19 14:47:17 2021-06-19 19:02:17 1242.0 1031.0 385.0 451.0 2.0 4.0 2018-10-07 03:58:26 2018-04-25 17:22:40 2019-08-03 09:00:44 2020-01-16 17:25:41 VivekPa/AIAlpha BlackArbsCEO/Adv_Fin_ML_Exercises active 4.0
113 finserv-application-blueprint https://github.com/mapr-demos/finserv-application-blueprint generate streamable data using mapr converged data platfrom built mostly in java. Uses apache [zepplin](https://zeppelin.apache.org/) for web visualization Data Processing Techniques and Transformations 2021-06-08 14:08:51 73.0 53.0 5.0 2016-09-26 19:42:54 2021-06-07 17:38:13 mapr-demos/finserv-application-blueprint active 2.0 12:49.2
114 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 2021-06-17 07:36:15 71.0 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
115 QLearning_Trading https://github.com/ucaiado/QLearning_Trading NEW Deep Learning And Reinforcement Learning 2021-06-11 16:07:24 445.0 171.0 1.0 2016-08-10 06:02:23 2016-10-15 02:36:09 ucaiado/QLearning_Trading inactive 39:11.1
116 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 2021-06-14 09:29:46 323.0 160.0 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
117 Deep-Learning-Machine-Learning-Stock https://github.com/LastAncientOne/Deep-Learning-Machine-Learning-Stock curated list of notebooks for machine learning models. Start with very simple linear models to more advanced reinforcement learning type of models. Problem with this repo is that the library version numbers may be changing over time and there's no specific way to track and upgrade Deep Learning And Reinforcement Learning 2021-06-18 17:17:56 316.0 113.0 1.0 2018-09-29 23:38:06 2021-06-13 05:18:17 LastAncientOne/Deep-Learning-Machine-Learning-Stock active 3.0 3/31/21 8:00
118 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 2021-06-19 04:08:59 2189.0 571.0 22.0 2020-07-26 13:18:16 2021-06-17 17:31:33 AI4Finance-LLC/FinRL active 5.0 3/31/21 8:00
119 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 2021-06-16 17:02:10 145.0 55.0 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
120 deep-RL-trading https://github.com/golsun/deep-RL-trading trading game comparing RNN vs CNN vs MLP based on [paper](https://arxiv.org/abs/1803.03916) Deep Learning And Reinforcement Learning 2021-06-19 09:28:37 248.0 112.0 1.0 2018-02-25 17:41:42 2020-12-01 22:06:39 golsun/deep-RL-trading active 3.0 3/31/21 8:00
121 LTSM GRU https://github.com/RajatHanda/Finance-Forecasting Stock Market Forecasting using LSTM\GRU. Deep Learning And Reinforcement Learning 2021-05-24 10:37:07 12.0 6.0 1.0 2018-05-13 02:39:32 2019-02-25 00:26:42 RajatHanda/Finance-Forecasting inactive 3.0
122 a3c_trading https://github.com/evgps/a3c_trading NEW Deep Learning And Reinforcement Learning 2021-06-17 01:01:08 321.0 102.0 1.0 2018-06-04 15:30:16 2020-05-23 14:47:54 evgps/a3c_trading active 39:11.1
123 TradingGym https://github.com/cove9988/TradingGym NEW Deep Learning And Reinforcement Learning 2021-05-17 02:51:50 113.0 38.0 3.0 2017-11-06 00:50:01 2017-11-15 23:55:32 cove9988/TradingGym inactive 39:11.1
124 Trading-Gym https://github.com/thedimlebowski/Trading-Gym NEW Deep Learning And Reinforcement Learning 2021-06-18 23:13:19 514.0 146.0 3.0 2017-06-13 13:14:48 2017-07-10 08:09:30 thedimlebowski/Trading-Gym inactive 39:11.1
125 Deep Learning III https://github.com/Rachnog/Deep-Trading Algorithmic trading with deep learning experiments. Deep Learning And Reinforcement Learning 2021-06-18 10:20:31 1283.0 682.0 1.0 2016-06-18 18:23:06 2018-08-07 15:24:45 Rachnog/Deep-Trading inactive 5.0
126 RLQuant https://github.com/yuriak/RLQuant NEW Deep Learning And Reinforcement Learning 2021-06-11 05:41:13 278.0 94.0 1.0 2018-04-05 05:42:44 2018-08-13 04:18:29 yuriak/RLQuant inactive 39:11.1
127 rl_trading https://github.com/ucaiado/rl_trading NEW Deep Learning And Reinforcement Learning 2021-05-25 06:17:53 212.0 92.0 1.0 2017-05-29 22:19:00 2017-08-29 14:54:50 ucaiado/rl_trading inactive 39:11.1
128 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 2021-06-19 20:23:04 634.0 157.0 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
129 AI Trading https://github.com/borisbanushev/stockpredictionai/blob/master/readme2.md AI to predict stock market movements. Deep Learning And Reinforcement Learning 2021-06-17 22:32:27 2976.0 1420.0 1.0 2019-01-09 08:02:47 2019-02-11 16:32:47 borisbanushev/stockpredictionai inactive 5.0
130 BitcoinForecast https://github.com/PiSimo/BitcoinForecast RNN model to predict short term price movement (in this case BTC for the next 9 minutes) [deepchart](https://pisimo.github.io/DeepChart/) is used to visualize the model Deep Learning And Reinforcement Learning 2021-06-09 10:45:26 302.0 132.0 3.0 2017-03-10 10:52:02 2018-06-11 08:07:02 PiSimo/BitcoinForecast inactive 3.0 3/31/21 8:00
131 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 2021-06-19 13:55:26 672.0 296.0 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
132 DeepLearningInFinance https://github.com/sonaam1234/DeepLearningInFinance Based on a [talk](https://towardsdatascience.com/deep-learning-in-finance-9e088cb17c03) Sonam Srivastava gave and there are two studies: 1. single timeseries return prediction using ARIMA/VAR/SVR/Deep Regression/CNN/LSTM 2. indexed portfolio construction using autoencoders i.e. replicate a index using handful of stocks. Deep Learning And Reinforcement Learning 2021-06-03 02:49:19 266.0 147.0 1.0 2017-08-21 16:00:42 2017-08-21 17:23:48 sonaam1234/DeepLearningInFinance inactive 3.0 3/31/21 8:00
133 pairstrade-fyp-2019 https://github.com/wywongbd/pairstrade-fyp-2019 NEW Deep Learning And Reinforcement Learning 2021-06-17 23:43:34 119.0 42.0 2.0 2018-09-07 07:51:06 2020-05-13 05:06:51 wywongbd/pairstrade-fyp-2019 active 39:11.1
134 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 2021-06-13 21:41:20 148.0 71.0 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
135 Pair Trading RL https://github.com/shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading Using deep actor-critic model to learn best strategies in pair trading. Deep Learning And Reinforcement Learning 2021-06-13 18:30:08 247.0 117.0 1.0 2017-05-18 16:47:11 2017-05-18 16:56:38 shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading inactive 3.0
136 AutomatedStockTrading-DeepQ-Learning https://github.com/sachink2010/AutomatedStockTrading-DeepQ-Learning cornerstone project repo for Udacity nanodegree program [Become a machine learning engineer](https://www.udacity.com/course/machine-learning-engineer-nanodegree--nd009t) and focus on trading using deep q learning. Good explanation on design choices in the report Deep Learning And Reinforcement Learning 2021-06-19 10:34:18 135.0 53.0 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
137 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
138 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 2021-06-19 15:24:30 390.0 118.0 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
139 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
140 FinRL https://github.com/AI4Finance-LLC/FinRL NEW Deep Learning And Reinforcement Learning 2021-06-19 04:08:59 2189.0 571.0 22.0 2020-07-26 13:18:16 2021-06-17 17:31:33 AI4Finance-LLC/FinRL active 13:03.7
141 Deep Learning IV https://github.com/achillesrasquinha/bulbea Bulbea: Deep Learning based Python Library. Deep Learning And Reinforcement Learning 2021-06-16 15:41:44 1501.0 422.0 1.0 2017-03-09 06:11:06 2017-03-19 07:42:49 achillesrasquinha/bulbea inactive 5.0
142 Personae https://github.com/Ceruleanacg/Personae implementation of deep reinforcement learning and supervised learnings covering areas: deep deterministic policy gradient (DDPG) and DDQN etc. Data are being pulled from [rqalpha](https://github.com/ricequant/rqalpha) which is a python backtest engine and have a nice docker image to run training/testing Deep Learning And Reinforcement Learning 2021-06-08 21:35:47 1152.0 334.0 2.0 2018-03-10 11:22:00 2018-09-02 17:21:38 Ceruleanacg/Personae inactive 5.0 3/31/21 8:00
RL III https://github.com/samre12/deep-trading-agent Github -Deep Reinforcement Learning based Trading Agent for Bitcoin. Deep Learning And Reinforcement Learning 2021-06-14 06:09:35 594.0 204.0 1.0 2017-09-21 17:05:19 2018-04-13 16:33:21 samre12/deep-trading-agent inactive 3.0
143 RLTrader https://github.com/notadamking/RLTrader predecessor to [tensortrade](https://github.com/tensortrade-org/tensortrade) uses open api [gym](https://gym.openai.com/) and neat way to render matplotlib plots in real time. Also explains LSTM/data stationarity/Bayesian optimization using [Optuna](https://github.com/optuna/optuna) etc. Deep Learning And Reinforcement Learning 2021-06-17 16:00:15 1361.0 473.0 15.0 2019-04-27 18:35:15 2019-10-17 16:25:49 notadamking/RLTrader active 5.0 3/31/21 8:00
144 Neural Network https://github.com/VivekPa/IntroNeuralNetworks Neural networks to predict stock prices. Deep Learning And Reinforcement Learning 2021-06-14 04:22:52 514.0 178.0 2.0 2018-09-10 06:34:53 2018-11-21 07:39:31 VivekPa/IntroNeuralNetworks inactive 4.0
145 RL II https://github.com/deependersingla/deep_trader reinforcement learning on stock market and agent tries to learn trading. Deep Learning And Reinforcement Learning 2021-06-18 16:36:18 1352.0 490.0 3.0 2016-06-11 07:27:10 2018-01-22 14:35:50 deependersingla/deep_trader inactive 3.0
146 Deep Learning https://github.com/keon/deepstock Technical experimentations to beat the stock market using deep learning. Deep Learning And Reinforcement Learning 2021-06-18 02:58:09 429.0 154.0 2.0 2016-12-12 02:15:12 2017-03-04 08:37:29 keon/deepstock inactive 4.0
147 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 2021-06-15 14:45:31 158.0 45.0 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
148 LTSM Recurrent https://github.com/VivekPa/AIAlpha OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network. Deep Learning And Reinforcement Learning 2021-06-19 14:47:17 1242.0 385.0 2.0 2018-10-07 03:58:26 2019-08-03 09:00:44 VivekPa/AIAlpha active 4.0
149 Machine-Learning-and-Reinforcement-Learning-in-Finance https://github.com/joelowj/Machine-Learning-and-Reinforcement-Learning-in-Finance NEW Deep Learning And Reinforcement Learning 2021-06-06 10:11:44 181.0 96.0 1.0 2018-06-26 04:30:08 2018-09-23 16:50:33 joelowj/Machine-Learning-and-Reinforcement-Learning-in-Finance inactive 39:11.1
150 RL IV https://github.com/jjakimoto/DQN Reinforcement Learning for finance. Deep Learning And Reinforcement Learning 2021-05-31 10:06:44 143.0 55.0 1.0 2016-10-21 02:47:17 2017-04-07 08:11:57 jjakimoto/DQN inactive
151 Stock-Prediction-Models RL III https://github.com/huseinzol05/Stock-Prediction-Models https://github.com/samre12/deep-trading-agent 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)) Github -Deep Reinforcement Learning based Trading Agent for Bitcoin. Deep Learning And Reinforcement Learning 2021-06-20 00:02:23 2021-06-14 06:09:35 4040.0 594.0 1672.0 204.0 2.0 1.0 2017-12-18 10:49:59 2017-09-21 17:05:19 2021-01-05 10:31:50 2018-04-13 16:33:21 huseinzol05/Stock-Prediction-Models samre12/deep-trading-agent active inactive 5.0 3.0 3/31/21 8:00
152 trading-rl https://github.com/Kostis-S-Z/trading-rl Deep reinforcement learning for financial trading using [gym](https://gym.openai.com/) and [keras-rl](https://github.com/keras-rl/keras-rl) on FX dataset (EURUSD) not actively maintained Deep Learning And Reinforcement Learning 2021-06-13 20:20:42 181.0 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
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 2021-06-08 09:39:34 226.0 91.0 1.0 2018-08-05 02:13:21 2018-10-01 11:25:53 imhgchoi/ARIMA-LSTM-hybrid-corrcoef-predict inactive 3.0
TradingGym https://github.com/Yvictor/TradingGym NEW Deep Learning And Reinforcement Learning 2021-06-18 23:16:24 880.0 242.0 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 2021-06-19 21:14:49 3267.0 764.0 42.0 2019-07-30 21:28:32 2021-06-19 21:14:43 tensortrade-org/tensortrade active 39:11.1
RL https://github.com/kh-kim/stock_market_reinforcement_learning OpenGym with Deep Q-learning and Policy Gradient. Deep Learning And Reinforcement Learning 2021-06-17 15:56:28 725.0 303.0 1.0 2016-10-04 14:42:19 2016-12-23 07:34:08 kh-kim/stock_market_reinforcement_learning inactive 2.0
Advanced-Deep-Trading https://github.com/Rachnog/Advanced-Deep-Trading notebooks containing experiments based on Lopez de Prado book "Advances in financial machine learning". Mostly not deep learning related but rather sklearn regression models. Interesting libraries include [mlfinlab](https://github.com/hudson-and-thames/mlfinlab) for calculating return stats and [shap](https://github.com/slundberg/shap) for explaining models. Examlpe of shap can be which features are pushing the value up and and which features are pushing the value down. Also contain functions for calculating geometric brownian motion and jump diffusion functions. Deep Learning And Reinforcement Learning 2021-06-17 06:48:21 331.0 162.0 2.0 2019-02-16 21:18:00 2020-11-29 20:12:59 Rachnog/Advanced-Deep-Trading active 3.0 3/31/21 8:00
Deep Learning II https://github.com/LiamConnell/deep-algotrading/tree/master/notebooks Tensorflow Regression. Deep Learning And Reinforcement Learning 2021-06-14 05:38:28 180.0 68.0 1.0 2016-07-12 12:56:10 2018-02-16 02:43:36 LiamConnell/deep-algotrading inactive 3.0
maro https://github.com/microsoft/maro NEW Deep Learning And Reinforcement Learning 2021-06-19 01:24:55 431.0 74.0 19.0 2019-12-27 06:48:27 2021-06-02 03:05:34 microsoft/maro active 39:11.1
gym-trading https://github.com/hackthemarket/gym-trading NEW Deep Learning And Reinforcement Learning 2021-06-18 23:22:47 594.0 197.0 2.0 2016-12-09 20:46:19 2017-12-24 15:34:37 hackthemarket/gym-trading inactive 39:11.1
153 Pair-Trading-Reinforcement-Learning https://github.com/wai-i/Pair-Trading-Reinforcement-Learning NEW Deep Learning And Reinforcement Learning 2021-06-13 10:57:10 143.0 60.0 1.0 2019-06-09 22:50:37 2020-01-03 15:36:22 wai-i/Pair-Trading-Reinforcement-Learning active 39:11.1
154 RL V Stock-Prediction-Models https://github.com/gstenger98/rl-finance https://github.com/huseinzol05/Stock-Prediction-Models Building an Agent to Trade with Reinforcement Learning. 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 2021-04-08 18:57:53 2021-06-20 00:02:23 33.0 4040.0 8.0 1672.0 5.0 2.0 2019-01-16 00:43:36 2017-12-18 10:49:59 2020-03-19 20:28:08 2021-01-05 10:31:50 gstenger98/rl-finance huseinzol05/Stock-Prediction-Models active 2.0 5.0 3/31/21 8:00
155 FinRL maro https://github.com/AI4Finance-LLC/FinRL https://github.com/microsoft/maro NEW Deep Learning And Reinforcement Learning 2021-06-19 04:08:59 2021-06-19 01:24:55 2189.0 431.0 571.0 74.0 22.0 19.0 2020-07-26 13:18:16 2019-12-27 06:48:27 2021-06-17 17:31:33 2021-06-02 03:05:34 AI4Finance-LLC/FinRL microsoft/maro active 13:03.7 39:11.1
156 RL Trading Deep Learning II https://colab.research.google.com/drive/1FzLCI0AO3c7A4bp9Fi01UwXeoc7BN8sW https://github.com/LiamConnell/deep-algotrading/tree/master/notebooks A collection of 25+ Reinforcement Learning Trading Strategies -Google Colab. Tensorflow Regression. Deep Learning And Reinforcement Learning 2021-06-14 05:38:28 180.0 68.0 1.0 2016-07-12 12:56:10 2018-02-16 02:43:36 LiamConnell/deep-algotrading inactive 4.0 3.0
157 Pair Trading RL gym-trading https://github.com/shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading https://github.com/hackthemarket/gym-trading Using deep actor-critic model to learn best strategies in pair trading. NEW Deep Learning And Reinforcement Learning 2021-06-13 18:30:08 2021-06-18 23:22:47 247.0 594.0 117.0 197.0 1.0 2.0 2017-05-18 16:47:11 2016-12-09 20:46:19 2017-05-18 16:56:38 2017-12-24 15:34:37 shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading hackthemarket/gym-trading inactive 3.0 39:11.1
158 deep-RL-trading RL https://github.com/golsun/deep-RL-trading https://github.com/kh-kim/stock_market_reinforcement_learning trading game comparing RNN vs CNN vs MLP based on [paper](https://arxiv.org/abs/1803.03916) OpenGym with Deep Q-learning and Policy Gradient. Deep Learning And Reinforcement Learning 2021-06-19 09:28:37 2021-06-17 15:56:28 248.0 725.0 112.0 303.0 1.0 2018-02-25 17:41:42 2016-10-04 14:42:19 2020-12-01 22:06:39 2016-12-23 07:34:08 golsun/deep-RL-trading kh-kim/stock_market_reinforcement_learning active inactive 3.0 2.0 3/31/21 8:00
159 trading-bot tensortrade https://github.com/pskrunner14/trading-bot https://github.com/tensortrade-org/tensortrade Implementation of deep reinforcement learning using Deep Q Network (DQN). Only supports single security at the moment. Idea is roughly based [here](https://keon.github.io/deep-q-learning/) and uses tensorflow/keras. Interesting helper python libraries used here are [tqdm](https://tqdm.github.io/) for console based progress bar and [altair](https://altair-viz.github.io/) for declarative visualization in python NEW Deep Learning And Reinforcement Learning 2021-06-14 09:29:46 2021-06-19 21:14:49 323.0 3267.0 160.0 764.0 1.0 42.0 2018-08-13 10:44:08 2019-07-30 21:28:32 2020-01-23 04:41:20 2021-06-19 21:14:43 pskrunner14/trading-bot tensortrade-org/tensortrade active 3.0 3/31/21 8:00 39:11.1
160 Deep-Learning-Machine-Learning-Stock TradingGym https://github.com/LastAncientOne/Deep-Learning-Machine-Learning-Stock https://github.com/Yvictor/TradingGym 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 NEW Deep Learning And Reinforcement Learning 2021-06-18 17:17:56 2021-06-18 23:16:24 316.0 880.0 113.0 242.0 1.0 2.0 2018-09-29 23:38:06 2017-05-01 13:53:32 2021-06-13 05:18:17 2018-02-14 13:58:18 LastAncientOne/Deep-Learning-Machine-Learning-Stock Yvictor/TradingGym active inactive 3.0 3/31/21 8:00 39:11.1
161 FinRL-Library ARIMA-LTSM Hybrid https://github.com/AI4Finance-LLC/FinRL-Library https://github.com/imhgchoi/Corr_Prediction_ARIMA_LSTM_Hybrid 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 Hybrid model to predict future price correlation coefficients of two assets. Deep Learning And Reinforcement Learning 2021-06-19 04:08:59 2021-06-08 09:39:34 2189.0 226.0 571.0 91.0 22.0 1.0 2020-07-26 13:18:16 2018-08-05 02:13:21 2021-06-17 17:31:33 2018-10-01 11:25:53 AI4Finance-LLC/FinRL imhgchoi/ARIMA-LSTM-hybrid-corrcoef-predict active inactive 5.0 3.0 3/31/21 8:00
162 DQN-DDPG_Stock_Trading Advanced-Deep-Trading https://github.com/AI4Finance-LLC/DQN-DDPG_Stock_Trading https://github.com/Rachnog/Advanced-Deep-Trading merged into FinRL library and uses [gym](https://gym.openai.com/) and implementation of DQN notebooks containing experiments based on Lopez de Prado book "Advances in financial machine learning". Mostly not deep learning related but rather sklearn regression models. Interesting libraries include [mlfinlab](https://github.com/hudson-and-thames/mlfinlab) for calculating return stats and [shap](https://github.com/slundberg/shap) for explaining models. Examlpe of shap can be which features are pushing the value up and and which features are pushing the value down. Also contain functions for calculating geometric brownian motion and jump diffusion functions. Deep Learning And Reinforcement Learning 2021-06-16 17:02:10 2021-06-17 06:48:21 145.0 331.0 55.0 162.0 4.0 2.0 2018-09-19 03:17:06 2019-02-16 21:18:00 2020-11-26 16:58:00 2020-11-29 20:12:59 AI4Finance-LLC/DQN-DDPG_Stock_Trading Rachnog/Advanced-Deep-Trading active 3.0 3/31/21 8:00
163 LTSM GRU gs-quant https://github.com/RajatHanda/Finance-Forecasting https://github.com/goldmansachs/gs-quant Stock Market Forecasting using LSTM\GRU. NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-05-24 10:37:07 2021-06-17 15:12:51 12.0 646.0 6.0 190.0 1.0 12.0 2018-05-13 02:39:32 2018-12-14 21:10:40 2019-02-25 00:26:42 2021-06-16 01:45:31 RajatHanda/Finance-Forecasting goldmansachs/gs-quant inactive active 3.0 23:51.4
164 a3c_trading openAlgo https://github.com/evgps/a3c_trading https://github.com/mtompkins/openAlgo NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-06-17 01:01:08 2021-06-14 05:45:45 321.0 163.0 102.0 83.0 1.0 2.0 2018-06-04 15:30:16 2013-05-28 14:46:53 2020-05-23 14:47:54 2017-03-24 20:00:24 evgps/a3c_trading mtompkins/openAlgo active inactive 39:11.1 23:51.4
165 TradingGym Computational Derivatives https://github.com/cove9988/TradingGym https://github.com/chenbowen184/Computational_Finance NEW Projects focusing on investigating simulations and computational techniques applied in finance. Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-05-17 02:51:50 2021-05-18 09:14:31 113.0 19.0 38.0 12.0 3.0 1.0 2017-11-06 00:50:01 2018-01-29 05:01:52 2017-11-15 23:55:32 2018-08-02 05:56:49 cove9988/TradingGym chen-bowen/Computational_Finance inactive 39:11.1
166 QLearning_Trading MarketAnalysis https://github.com/ucaiado/QLearning_Trading https://github.com/Poseyy/MarketAnalysis NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-06-11 16:07:24 2021-06-10 11:06:53 445.0 178.0 171.0 80.0 1.0 2016-08-10 06:02:23 2019-03-28 19:46:34 2016-10-15 02:36:09 2020-08-06 05:15:46 ucaiado/QLearning_Trading Poseyy/MarketAnalysis inactive active 39:11.1 23:51.4
167 Trading-Gym Derivative Markets https://github.com/thedimlebowski/Trading-Gym https://github.com/broughtj/Fin6470/tree/master/Notebooks NEW The economics of futures, futures, options, and swaps. Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-06-18 23:13:19 2021-04-15 16:03:10 514.0 8.0 146.0 8.0 3.0 1.0 2017-06-13 13:14:48 2016-02-09 05:30:27 2017-07-10 08:09:30 2021-04-15 16:02:59 thedimlebowski/Trading-Gym broughtj/Fin6470 inactive active 39:11.1
168 AutomatedStockTrading-DeepQ-Learning FinancePy https://github.com/sachink2010/AutomatedStockTrading-DeepQ-Learning https://github.com/domokane/FinancePy cornerstone project repo for Udacity nanodegree program [Become a machine learning engineer](https://www.udacity.com/course/machine-learning-engineer-nanodegree--nd009t) and focus on trading using deep q learning. Good explanation on design choices in the report NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-06-19 10:34:18 2021-06-19 20:44:34 135.0 511.0 53.0 83.0 2.0 7.0 2019-02-23 12:01:21 2019-10-27 15:04:56 2020-02-25 18:16:34 2021-06-18 18:13:16 sachink2010/AutomatedStockTrading-DeepQ-Learning domokane/FinancePy active 3.0 3/31/21 8:00 23:51.4
169 RLQuant Derivatives Python https://github.com/yuriak/RLQuant https://github.com/yhilpisch/dawp/tree/master/python36 NEW Derivative analytics with Python. Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-06-11 05:41:13 2021-06-19 17:06:24 278.0 404.0 94.0 304.0 1.0 2018-04-05 05:42:44 2015-07-09 12:27:29 2018-08-13 04:18:29 2021-02-22 13:29:18 yuriak/RLQuant yhilpisch/dawp inactive active 39:11.1
170 rl_trading robin_stocks https://github.com/ucaiado/rl_trading https://github.com/jmfernandes/robin_stocks NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-05-25 06:17:53 2021-06-19 18:54:47 212.0 1099.0 92.0 290.0 1.0 36.0 2017-05-29 22:19:00 2018-02-23 00:49:37 2017-08-29 14:54:50 2021-05-12 02:21:21 ucaiado/rl_trading jmfernandes/robin_stocks inactive active 39:11.1 23:51.4
171 crypto-rl Derman https://github.com/sadighian/crypto-rl https://github.com/rstreppa/valuation-convertibles-Goldman1994/blob/master/ConvertibleBond_Goldman1994_Derman.ipynb 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) Binomial tree for American call. Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-06-19 15:24:30 2020-10-06 20:37:15 390.0 1.0 118.0 3.0 1.0 2018-06-21 01:06:01 2018-05-18 18:08:16 2020-11-05 11:08:19 2018-09-21 19:59:01 sadighian/crypto-rl rstreppa/valuation-convertibles-Goldman1994 active inactive 3.0 3/31/21 8:00
172 awesome-deep-trading Strata https://github.com/cbailes/awesome-deep-trading https://github.com/OpenGamma/Strata 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 NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-06-19 20:23:04 2021-06-18 09:37:55 634.0 619.0 157.0 221.0 1.0 43.0 2018-11-26 03:23:04 2014-06-16 11:45:55 2021-01-01 09:41:21 2021-06-18 09:37:50 cbailes/awesome-deep-trading OpenGamma/Strata active 4.0 3/31/21 8:00 23:51.4
173 AI Trading Options https://github.com/borisbanushev/stockpredictionai/blob/master/readme2.md https://github.com/PHBS/2018.M1.ASP/tree/master/py AI to predict stock market movements. Black Scholes and Copula. Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-06-17 22:32:27 2976.0 1420.0 1.0 2019-01-09 08:02:47 2019-02-11 16:32:47 borisbanushev/stockpredictionai PHBS/2018.M1.ASP inactive 5.0
174 BitcoinForecast StockSharp https://github.com/PiSimo/BitcoinForecast https://github.com/StockSharp/StockSharp RNN model to predict short term price movement (in this case BTC for the next 9 minutes) [deepchart](https://pisimo.github.io/DeepChart/) is used to visualize the model NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-06-09 10:45:26 2021-06-19 22:00:43 302.0 4145.0 132.0 1277.0 3.0 17.0 2017-03-10 10:52:02 2014-12-08 07:53:44 2018-06-11 08:07:02 2021-06-16 12:37:08 PiSimo/BitcoinForecast StockSharp/StockSharp inactive active 3.0 3/31/21 8:00 23:51.4
175 Deep Learning III Hull White https://github.com/Rachnog/Deep-Trading https://github.com/rstreppa/valuation-callables-HullWhite/blob/master/CallableBond_HullWhite.ipynb Algorithmic trading with deep learning experiments. Callable Bond, Hull White. Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-06-18 10:20:31 2020-10-06 20:37:16 1283.0 4.0 682.0 6.0 1.0 2016-06-18 18:23:06 2018-06-06 22:06:06 2018-08-07 15:24:45 2018-06-06 22:27:02 Rachnog/Deep-Trading rstreppa/valuation-callables-HullWhite inactive 5.0
176 Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020 Options https://github.com/AI4Finance-LLC/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020 https://github.com/QuantConnect/Tutorials/tree/master/06%20Introduction%20to%20Options%5B%5D 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. Introduction to options. Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-06-19 13:55:26 2021-06-17 06:45:48 672.0 358.0 296.0 170.0 6.0 36.0 2020-07-26 13:12:53 2017-07-28 15:48:29 2021-01-21 18:11:59 2021-03-17 17:17:08 AI4Finance-LLC/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020 QuantConnect/Tutorials active 4.0 3/31/21 8:00
177 DeepLearningInFinance Black Scholes https://github.com/sonaam1234/DeepLearningInFinance https://github.com/irajwani/numerical_methods_python/blob/master/black_scholes.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. Options pricing. Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-06-03 02:49:19 2020-10-06 20:36:29 266.0 1.0 147.0 2.0 1.0 0.0 2017-08-21 16:00:42 2017-12-09 18:50:20 2017-08-21 17:23:48 2018-07-09 09:48:36 sonaam1234/DeepLearningInFinance irajwani/numerical_methods_python inactive 3.0 3/31/21 8:00
178 pairstrade-fyp-2019 QLNet https://github.com/wywongbd/pairstrade-fyp-2019 https://github.com/amaggiulli/QLNet NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-06-17 23:43:34 2021-06-13 01:42:54 119.0 267.0 42.0 136.0 2.0 13.0 2018-09-07 07:51:06 2013-08-22 14:51:43 2020-05-13 05:06:51 2021-03-02 18:39:41 wywongbd/pairstrade-fyp-2019 amaggiulli/QLNet active 39:11.1 23:51.4
179 Deep-Reinforcement-Learning-in-Trading fast_arrow https://github.com/saeed349/Deep-Reinforcement-Learning-in-Trading https://github.com/westonplatter/fast_arrow Deep reinforcement learning for trading leveraging [openai gym](https://gym.openai.com/) framework. Keras implementation of DQN DDQN (double deep Q network) and DDDQN (dueling double dqn) trained/tested on s&p 500 daily data from 2013 to 2018. approach is described in an article [here](https://www.linkedin.com/pulse/deep-reinforcement-learning-trading-saeed-rahman) NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-06-13 21:41:20 2021-06-01 15:11:55 148.0 128.0 71.0 41.0 1.0 5.0 2018-05-11 00:52:14 2018-07-19 23:15:25 2019-10-26 14:22:44 2020-04-18 18:05:37 saeed349/Deep-Reinforcement-Learning-in-Trading westonplatter/fast_arrow active 3.0 3/31/21 8:00 23:51.4
180 wallstreet https://github.com/mcdallas/wallstreet NEW Derivatives and Hedging 2021-06-19 00:08:19 596.0 131.0 2.0 2016-01-20 22:03:39 2019-08-09 23:14:52 mcdallas/wallstreet active 23:51.4
181 Volatility and Variance Derivatives https://github.com/yhilpisch/lvvd/tree/master/lvvd Volatility derivatives analytics. Derivatives and Hedging 2021-06-15 03:01:30 84.0 78.0 1.0 2016-10-21 04:12:50 2021-05-15 10:12:38 yhilpisch/lvvd active
182 akshare https://github.com/jindaxiang/akshare NEW Derivatives and Hedging 2021-06-19 16:17:01 3640.0 757.0 13.0 2019-10-01 07:34:12 2021-06-19 16:16:58 jindaxiang/akshare active 23:51.4
183 trading-server https://github.com/s-brez/trading-server NEW Derivatives and Hedging 2021-06-18 12:56:43 261.0 57.0 2.0 2019-03-05 03:06:19 2021-03-08 02:37:08 s-brez/trading-server active 23:51.4
184 huobi_futures_Python https://github.com/hbdmapi/huobi_futures_Python NEW Derivatives and Hedging 2021-06-19 11:29:28 193.0 90.0 2.0 2020-01-14 07:21:39 2021-05-29 06:12:07 hbdmapi/huobi_futures_Python active 23:51.4
185 paperbroker https://github.com/philipodonnell/paperbroker NEW Derivatives and Hedging 2021-06-06 19:31:08 181.0 50.0 3.0 2017-07-06 02:04:51 2018-04-08 18:37:57 philipodonnell/paperbroker inactive 23:51.4
186 optopsy https://github.com/michaelchu/optopsy NEW Derivatives and Hedging 2021-06-18 13:03:10 425.0 91.0 3.0 2017-09-17 01:49:54 2021-06-04 16:13:34 michaelchu/optopsy active 23:51.4
Option Strategies https://github.com/rstreppa/valuation-OptionStrategies Valuation of Vanilla and Exotic option strategies (Butterfly, Risk Reversal etc.) with widget animations. Derivatives and Hedging 2021-06-15 21:43:59 3.0 3.0 1.0 2018-05-22 18:27:26 2018-05-22 18:30:24 rstreppa/valuation-OptionStrategies inactive
187 Reinforcement Learning https://github.com/FinTechies/HedgingRL Hedging portfolios with reinforcement learning. Derivatives and Hedging 2021-01-20 08:12:13 16.0 10.0 1.0 2017-04-21 10:58:56 2017-08-02 21:41:06 FinTechies/HedgingRL inactive
188 quant-trading https://github.com/je-suis-tm/quant-trading NEW Derivatives and Hedging 2021-06-19 22:10:31 1959.0 518.0 2.0 2018-04-03 14:08:14 2021-04-13 18:37:15 je-suis-tm/quant-trading active 23:51.4
189 Options-Trading-Strategies-in-Python https://github.com/PyPatel/Options-Trading-Strategies-in-Python NEW Derivatives and Hedging 2021-06-18 10:36:11 343.0 136.0 1.0 2017-08-30 06:00:15 2019-08-21 15:47:57 PyPatel/Options-Trading-Strategies-in-Python active 23:51.4
190 tda-api https://github.com/alexgolec/tda-api NEW Derivatives and Hedging 2021-06-19 02:56:21 729.0 189.0 17.0 2020-04-03 21:19:12 2021-05-31 14:34:01 alexgolec/tda-api active 23:51.4
191 tf-quant-finance Option Strategies https://github.com/google/tf-quant-finance https://github.com/rstreppa/valuation-OptionStrategies NEW Valuation of Vanilla and Exotic option strategies (Butterfly, Risk Reversal etc.) with widget animations. Derivatives and Hedging 2021-06-19 16:55:07 2021-06-15 21:43:59 2676.0 3.0 352.0 3.0 30.0 1.0 2019-07-24 16:09:50 2018-05-22 18:27:26 2021-06-16 18:51:04 2018-05-22 18:30:24 google/tf-quant-finance rstreppa/valuation-OptionStrategies active inactive 23:51.4
192 trade-frame https://github.com/rburkholder/trade-frame NEW Derivatives and Hedging 2021-06-04 00:27:13 198.0 79.0 1.0 2016-07-24 15:25:30 2021-05-24 16:56:10 rburkholder/trade-frame active 23:51.4
193 AlgorithmicTrading https://github.com/JerBouma/AlgorithmicTrading NEW Derivatives and Hedging 2021-06-17 14:13:39 196.0 59.0 1.0 2019-03-14 09:33:37 2021-02-03 22:29:07 JerBouma/AlgorithmicTrading active 23:51.4
194 FinanceDatabase https://github.com/JerBouma/FinanceDatabase NEW Derivatives and Hedging 2021-06-19 02:37:12 683.0 79.0 1.0 2021-01-28 18:36:09 2021-06-14 15:23:55 JerBouma/FinanceDatabase active 23:51.4
196 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
197 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
198 Options_Data_Science https://github.com/yugedata/Options_Data_Science NEW Derivatives and Hedging 2021-06-11 06:28:02 248.0 43.0 1.0 2020-12-09 04:51:20 2021-05-13 04:13:21 yugedata/Options_Data_Science active 23:51.4
199 tf-quant-finance https://github.com/google/tf-quant-finance NEW Derivatives and Hedging 2021-06-19 16:55:07 2676.0 352.0 30.0 2019-07-24 16:09:50 2021-06-16 18:51:04 google/tf-quant-finance active 23:51.4
200 tai https://github.com/fremantle-industries/tai NEW Derivatives and Hedging 2021-06-18 17:26:50 298.0 47.0 6.0 2017-07-28 03:07:18 2021-06-18 06:19:15 fremantle-industries/tai active 23:51.4
201 akshare Coiner https://github.com/jindaxiang/akshare https://github.com/jihoonerd/Coiner NEW Derivatives and Hedging Extended Research 2021-06-19 16:17:01 2021-04-07 16:15:41 3640.0 50.0 757.0 20.0 13.0 1.0 2019-10-01 07:34:12 2017-09-26 04:14:36 2021-06-19 16:16:58 2018-01-01 13:13:21 jindaxiang/akshare jihoonerd/Coiner active inactive 23:51.4 2021-04-21 01:25:51.827641
202 trading-server Life-cycle https://github.com/s-brez/trading-server https://github.com/atulram/Finance-and-Stocks/blob/master/CompanyLifeCycle.ipynb NEW Company life cycle. Derivatives and Hedging Extended Research 2021-06-18 12:56:43 2020-12-21 14:42:43 261.0 3.0 57.0 3.0 2.0 1.0 2019-03-05 03:06:19 2019-01-19 18:16:47 2021-03-08 02:37:08 2019-02-18 16:57:19 s-brez/trading-server atulram/Finance-and-Stocks active inactive 23:51.4
203 wallstreet Bayesian Finance I https://github.com/mcdallas/wallstreet https://github.com/AlexIoannides/pymc-stochastic-process/blob/master/bayes_stoch_proc_calib.ipynb NEW Stochastic Process Calibration using Bayesian Inference & Probabilistic Programs. Derivatives and Hedging Extended Research 2021-06-19 00:08:19 2021-05-18 12:27:07 596.0 27.0 131.0 6.0 2.0 0.0 2016-01-20 22:03:39 2019-01-04 12:30:41 2019-08-09 23:14:52 2019-02-18 09:55:21 mcdallas/wallstreet AlexIoannides/pymc-stochastic-process active inactive 23:51.4
204 QLNet Financial Economics https://github.com/amaggiulli/QLNet https://github.com/rsvp/fecon235/tree/master/nb NEW Financial Economics Models. Derivatives and Hedging Extended Research 2021-06-13 01:42:54 2021-06-18 21:39:36 267.0 726.0 136.0 280.0 13.0 2.0 2013-08-22 14:51:43 2014-11-09 04:49:01 2021-03-02 18:39:41 2018-12-03 16:30:28 amaggiulli/QLNet rsvp/fecon235 active inactive 23:51.4
205 gs-quant Chronicle-Accelerate https://github.com/goldmansachs/gs-quant https://github.com/OpenHFT/Chronicle-Accelerate NEW Derivatives and Hedging Extended Research 2021-06-17 15:12:51 2020-12-11 04:11:30 646.0 55.0 190.0 13.0 12.0 7.0 2018-12-14 21:10:40 2018-01-24 08:52:53 2021-06-16 01:45:31 2018-08-11 12:11:43 goldmansachs/gs-quant OpenHFT/Chronicle-Accelerate active inactive 23:51.4 2021-04-21 01:25:51.827641
206 Computational Derivatives Simulation https://github.com/chenbowen184/Computational_Finance Projects focusing on investigating simulations and computational techniques applied in finance. Investigating simulations as part of computational finance. Derivatives and Hedging Extended Research 2021-05-18 09:14:31 19.0 12.0 1.0 2018-01-29 05:01:52 2018-08-02 05:56:49 chen-bowen/Computational_Finance inactive
207 MarketAnalysis ITCH https://github.com/Poseyy/MarketAnalysis https://github.com/martinobdl/ITCH NEW Derivatives and Hedging Extended Research 2021-06-10 11:06:53 2021-06-19 17:03:58 178.0 71.0 80.0 27.0 1.0 3.0 2019-03-28 19:46:34 2019-03-09 18:20:12 2020-08-06 05:15:46 2020-07-25 10:24:10 Poseyy/MarketAnalysis martinobdl/ITCH active 23:51.4 2021-04-21 01:25:51.827641
208 Derivative Markets Financial-Formulas-Library-.NET-Standard https://github.com/broughtj/Fin6470/tree/master/Notebooks https://github.com/srbrettle/Financial-Formulas-Library-.NET-Standard The economics of futures, futures, options, and swaps. NEW Derivatives and Hedging Extended Research 2021-04-15 16:03:10 2021-06-17 19:29:37 8.0 114.0 8.0 31.0 1.0 2.0 2016-02-09 05:30:27 2018-09-01 17:43:37 2021-04-15 16:02:59 2019-11-22 12:50:30 broughtj/Fin6470 srbrettle/Financial-Formulas-Library-.NET-Standard active 2021-04-21 01:25:51.827641
209 FinancePy algo-trader-tool-suite https://github.com/domokane/FinancePy https://github.com/K0414/algo-trader-tool-suite NEW Derivatives and Hedging Extended Research 2021-06-19 20:44:34 2021-04-15 04:00:52 511.0 58.0 83.0 52.0 7.0 1.0 2019-10-27 15:04:56 2013-10-24 14:57:12 2021-06-18 18:13:16 2013-10-24 15:01:56 domokane/FinancePy K0414/algo-trader-tool-suite active inactive 23:51.4 2021-04-21 01:25:51.827641
210 Derivatives Python HFT-CNN https://github.com/yhilpisch/dawp/tree/master/python36 https://github.com/ShimShim46/HFT-CNN Derivative analytics with Python. NEW Derivatives and Hedging Extended Research 2021-06-19 17:06:24 2021-05-24 06:03:42 404.0 73.0 304.0 19.0 1.0 2015-07-09 12:27:29 2018-08-18 06:39:32 2021-02-22 13:29:18 2018-11-09 02:29:00 yhilpisch/dawp ShimShim46/HFT-CNN active inactive 2021-04-21 01:25:51.827641
211 openAlgo 2018-Kaggle-AdTrackingFraud https://github.com/mtompkins/openAlgo https://github.com/ShawnyXiao/2018-Kaggle-AdTrackingFraud NEW Derivatives and Hedging Extended Research 2021-06-14 05:45:45 2021-05-21 03:36:04 163.0 72.0 83.0 23.0 2.0 1.0 2013-05-28 14:46:53 2018-05-08 09:29:46 2017-03-24 20:00:24 2019-01-12 07:57:33 mtompkins/openAlgo ShawnyXiao/2018-Kaggle-AdTrackingFraud inactive 23:51.4 2021-04-21 01:25:51.827641
212 robin_stocks Bayesian Finance https://github.com/jmfernandes/robin_stocks https://github.com/marketneutral/alphatools/blob/master/notebooks/pymc3-minimal.ipynb NEW Notebook PyMC3 implementation. Derivatives and Hedging Extended Research 2021-06-19 18:54:47 2021-06-18 04:34:41 1099.0 249.0 290.0 59.0 36.0 1.0 2018-02-23 00:49:37 2018-08-28 14:45:00 2021-05-12 02:21:21 2020-08-06 22:03:47 jmfernandes/robin_stocks marketneutral/alphatools active 23:51.4
213 fast_arrow tectonicdb https://github.com/westonplatter/fast_arrow https://github.com/0b01/tectonicdb NEW Derivatives and Hedging Extended Research 2021-06-01 15:11:55 2021-06-18 18:20:19 128.0 351.0 41.0 56.0 5.0 10.0 2018-07-19 23:15:25 2017-10-03 00:34:01 2020-04-18 18:05:37 2020-09-08 23:02:20 westonplatter/fast_arrow 0b01/tectonicdb active 23:51.4 2021-04-21 01:25:51.827641
214 Strata hft https://github.com/OpenGamma/Strata https://github.com/nickhuangxinyu/hft NEW Derivatives and Hedging Extended Research 2021-06-18 09:37:55 2021-06-18 07:23:41 619.0 165.0 221.0 85.0 43.0 2.0 2014-06-16 11:45:55 2019-03-12 14:57:01 2021-06-18 09:37:50 2021-05-07 04:09:18 OpenGamma/Strata nickhuangxinyu/hft active 23:51.4 2021-04-21 01:25:51.827641
215 Options OpenHFT https://github.com/PHBS/2018.M1.ASP/tree/master/py https://github.com/OpenHFT/OpenHFT Black Scholes and Copula. NEW Derivatives and Hedging Extended Research 2021-06-18 16:33:16 482.0 152.0 33.0 2013-12-26 10:22:00 2021-06-18 13:58:15 PHBS/2018.M1.ASP OpenHFT/OpenHFT active 2021-04-21 01:25:51.827641
216 Volatility and Variance Derivatives example-hftish https://github.com/yhilpisch/lvvd/tree/master/lvvd https://github.com/alpacahq/example-hftish Volatility derivatives analytics. NEW Derivatives and Hedging Extended Research 2021-06-15 03:01:30 2021-06-19 16:36:18 84.0 398.0 78.0 170.0 1.0 3.0 2016-10-21 04:12:50 2019-01-25 14:56:38 2021-05-15 10:12:38 2019-10-25 02:16:27 yhilpisch/lvvd alpacahq/example-hftish active 2021-04-21 01:25:51.827641
217 Derman HFT https://github.com/rstreppa/valuation-convertibles-Goldman1994/blob/master/ConvertibleBond_Goldman1994_Derman.ipynb https://github.com/rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy Binomial tree for American call. High frequency trading. Derivatives and Hedging Extended Research 2020-10-06 20:37:15 2021-06-18 09:04:04 1.0 792.0 3.0 340.0 1.0 2018-05-18 18:08:16 2016-07-21 05:14:14 2018-09-21 19:59:01 2017-02-14 16:47:25 rstreppa/valuation-convertibles-Goldman1994 rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy inactive
218 StockSharp Finance Graph Theory https://github.com/StockSharp/StockSharp https://github.com/AvijitGhosh82/Finance_Graph_Theory NEW Modelling Contentedness of Firms in Financial Markets with Heterogeneous Agents. Derivatives and Hedging Extended Research 2021-06-19 22:00:43 2021-03-28 02:22:22 4145.0 17.0 1277.0 7.0 17.0 3.0 2014-12-08 07:53:44 2018-08-02 02:48:24 2021-06-16 12:37:08 2019-03-16 18:39:38 StockSharp/StockSharp evijit/Finance_Graph_Theory active inactive 23:51.4
219 Hull White HFT-Orderbook https://github.com/rstreppa/valuation-callables-HullWhite/blob/master/CallableBond_HullWhite.ipynb https://github.com/Crypto-toolbox/HFT-Orderbook Callable Bond, Hull White. NEW Derivatives and Hedging Extended Research 2020-10-06 20:37:16 2021-06-18 07:24:06 4.0 440.0 6.0 150.0 1.0 4.0 2018-06-06 22:06:06 2017-07-26 08:42:19 2018-06-06 22:27:02 2018-08-24 13:35:39 rstreppa/valuation-callables-HullWhite Crypto-toolbox/HFT-Orderbook inactive 2021-04-21 01:25:51.827641
220 Options ReactiveTraderCloud https://github.com/QuantConnect/Tutorials/tree/master/06%20Introduction%20to%20Options%5B%5D https://github.com/AdaptiveConsulting/ReactiveTraderCloud Introduction to options. NEW Derivatives and Hedging Extended Research 2021-06-17 06:45:48 2021-06-19 13:42:20 358.0 1591.0 170.0 504.0 36.0 81.0 2017-07-28 15:48:29 2015-11-13 19:24:11 2021-03-17 17:17:08 2021-05-10 13:20:10 QuantConnect/Tutorials AdaptiveConsulting/ReactiveTraderCloud active 2021-04-21 01:25:51.827641
221 Black Scholes A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market https://github.com/irajwani/numerical_methods_python/blob/master/black_scholes.ipynb https://github.com/SheikhRabiul/A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market Options pricing. NEW Derivatives and Hedging Extended Research 2020-10-06 20:36:29 2021-06-12 08:04:27 1.0 52.0 2.0 20.0 0.0 1.0 2017-12-09 18:50:20 2017-11-27 06:37:43 2018-07-09 09:48:36 2019-01-08 18:13:34 irajwani/numerical_methods_python SheikhRabiul/A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market inactive 2021-04-21 01:25:51.827641
222 High-Frequency-Trading-Model-with-IB fraud-detection-demo https://github.com/jamesmawm/High-Frequency-Trading-Model-with-IB https://github.com/afedulov/fraud-detection-demo NEW Extended Research 2021-06-19 21:27:55 2021-06-19 03:58:45 1860.0 177.0 551.0 73.0 2.0 2014-05-18 19:20:13 2019-11-04 09:23:17 2019-06-21 14:58:07 2021-01-05 19:28:04 jamesmawm/High-Frequency-Trading-Model-with-IB afedulov/fraud-detection-demo active 2021-04-21 01:25:51.827641
223 StockPredictionRNN go-quantcup https://github.com/dzitkowskik/StockPredictionRNN https://github.com/rdingwall/go-quantcup NEW Extended Research 2021-06-19 17:17:29 2021-05-31 02:35:13 504.0 74.0 216.0 36.0 2.0 1.0 2015-11-26 19:00:35 2015-02-04 10:33:12 2016-05-21 15:51:22 2015-06-11 12:50:09 dzitkowskik/StockPredictionRNN rdingwall/go-quantcup inactive 2021-04-21 01:25:51.827641
224 Computational Finance Critical Transitions https://github.com/lnsongxf/Applied_Computational_Economics_and_Finance https://github.com/ryanholbrook/critical-transitions Applied Computational Economics and Finance. Detecting critical transitions in financial networks with topological data analysis. Extended Research 2021-05-31 04:01:48 2021-04-19 09:15:38 13.0 11.0 14.0 3.0 1.0 2017-08-27 03:46:33 2019-01-22 10:59:50 2017-08-26 04:26:04 2019-03-12 18:35:02 lnsongxf/Applied_Computational_Economics_and_Finance ryanholbrook/critical-transitions inactive
225 talkingdata-adtracking-fraud-detection M&A https://github.com/flowlight0/talkingdata-adtracking-fraud-detection https://github.com/atulram/Finance-and-Stocks NEW Mergers and Acquisitions. Extended Research 2021-06-08 07:39:19 2020-12-21 14:42:43 204.0 3.0 54.0 3.0 1.0 2018-03-21 11:27:31 2019-01-19 18:16:47 2018-06-10 15:30:50 2019-02-18 16:57:19 flowlight0/talkingdata-adtracking-fraud-detection atulram/Finance-and-Stocks inactive 2021-04-21 01:25:51.827641
226 kafka-fraud-detector HFTrader https://github.com/florimondmanca/kafka-fraud-detector https://github.com/DrAshBooth/HFTrader NEW Extended Research 2021-06-18 12:30:23 2021-05-04 20:42:44 61.0 70.0 45.0 43.0 3.0 0.0 2018-09-13 17:36:49 2012-12-03 13:57:19 2019-04-29 22:04:23 2012-12-12 17:17:09 florimondmanca/kafka-fraud-detector DrAshBooth/HFTrader inactive 2021-04-21 01:25:51.827641
227 fraud-detection-using-machine-learning kungfu https://github.com/awslabs/fraud-detection-using-machine-learning https://github.com/kungfu-origin/kungfu NEW Extended Research 2021-06-09 19:03:27 2021-06-18 13:40:23 98.0 2379.0 61.0 869.0 6.0 7.0 2019-05-17 17:12:46 2017-11-15 06:54:01 2021-06-09 19:03:19 2020-06-03 12:04:41 awslabs/fraud-detection-using-machine-learning kungfu-origin/kungfu active 2021-04-21 01:25:51.827641
228 Avellaneda-Stoikov Applied Corporate Finance https://github.com/mdibo/Avellaneda-Stoikov https://github.com/chenbowen184/Data_Science_in_Applied_Corporate_Finance NEW Studies the empirical behaviours in stock market. Extended Research 2021-06-07 04:17:42 2021-02-19 13:40:37 52.0 8.0 42.0 9.0 1.0 2017-10-16 03:36:34 2018-01-29 05:14:52 2020-05-09 23:35:08 2018-07-19 06:25:36 mdibo/Avellaneda-Stoikov chen-bowen/Data_Science_in_Applied_Corporate_Finance active inactive 2021-06-02 04:27:12.212333
229 graph-fraud-detection-papers High Frequency https://github.com/safe-graph/graph-fraud-detection-papers https://github.com/cswaney/prickle NEW A Python toolkit for high-frequency trade research. Extended Research 2021-06-19 02:39:30 2021-06-19 15:55:33 390.0 26.0 72.0 17.0 2.0 2019-11-21 05:39:23 2016-07-06 20:32:21 2021-06-17 02:52:30 2018-06-09 10:53:51 safe-graph/graph-fraud-detection-papers cswaney/prickle active inactive 2021-04-21 01:25:51.827641
230 getIPIntel Behavioural Economics https://github.com/blackdotsh/getIPIntel https://github.com/pcmichaud/notebooks NEW Behavioural Economics and Finance Python Notebooks. Extended Research 2021-06-10 08:40:37 2021-02-03 07:22:40 155.0 9.0 32.0 4.0 4.0 1.0 2015-10-02 21:40:50 2018-12-20 00:21:38 2021-01-24 01:09:18 2019-03-26 11:51:46 blackdotsh/getIPIntel pcmichaud/notebooks active inactive 2021-04-21 01:25:51.827641
231 roq-samples Real Estate Property Fraud https://github.com/roq-trading/roq-samples https://github.com/aviroop1/Real_Estate_Property_Fraud NEW Unsupervised fraud detection model that can identify likely candidates of fraud. Extended Research 2021-06-19 17:18:00 65.0 24.0 3.0 2018-03-27 04:19:09 2021-05-30 07:15:02 roq-trading/roq-samples aviroop1/Real_Estate_Property_Fraud active 2021-05-05 01:50:21.293278
232 DGFraud Deep Portfolio https://github.com/safe-graph/DGFraud https://github.com/DLColumbia/DL_forFinance NEW Deep learning for finance Predict volume of bonds. Extended Research 2021-06-19 13:49:30 2021-01-12 11:48:27 323.0 27.0 86.0 19.0 4.0 2.0 2019-11-22 14:02:36 2018-05-08 19:34:17 2021-05-27 21:12:27 2018-05-09 15:39:25 safe-graph/DGFraud DLColumbia/DL_forFinance active inactive 2021-04-21 01:25:51.827641
233 fx_systrade NLP Finance Papers https://github.com/ryogrid/fx_systrade https://github.com/chenbowen184/Research_Documents_Curation_with_NLP NEW Curating quantitative finance papers using machine learning. Extended Research 2021-05-09 01:04:16 2021-02-27 06:33:23 81.0 8.0 29.0 9.0 2.0 1.0 2015-07-24 11:46:28 2018-10-11 20:32:37 2020-10-23 10:17:01 2018-12-24 23:27:55 ryogrid/fx_systrade chen-bowen/Research_Documents_Curation_with_NLP active inactive 2021-04-21 01:25:51.827641
234 Fraud-detection-using-deep-learning Backtests https://github.com/aaxwaz/Fraud-detection-using-deep-learning https://github.com/AlgoTraders/stock-analysis-engine NEW Trading data and algorithms. Extended Research 2021-06-11 06:39:22 2021-06-19 15:12:54 104.0 653.0 56.0 181.0 1.0 3.0 2017-06-18 12:35:24 2018-09-16 20:00:36 2017-12-06 13:51:54 2020-09-05 13:01:05 aaxwaz/Fraud-detection-using-deep-learning AlgoTraders/stock-analysis-engine inactive active 2021-04-21 01:25:51.827641
235 Fraud_Detection_Techniques spartan https://github.com/wmlba/Fraud_Detection_Techniques https://github.com/rigtorp/spartan NEW Extended Research 2021-05-13 07:14:15 2021-06-12 19:19:28 62.0 166.0 35.0 62.0 1.0 2019-02-14 02:27:13 2012-11-22 04:29:42 2020-06-14 23:36:47 2015-10-31 03:46:06 wmlba/Fraud_Detection_Techniques rigtorp/spartan active inactive 2021-04-21 01:25:51.827641
236 FX-Trading-with-Python-and-Oanda finmath-lib https://github.com/anthonyng2/FX-Trading-with-Python-and-Oanda https://github.com/finmath/finmath-lib NEW Extended Research 2021-02-20 20:49:53 2021-06-14 19:46:15 57.0 316.0 42.0 127.0 1.0 16.0 2017-02-23 07:48:12 2013-03-17 10:00:22 2017-08-14 03:21:30 2021-03-13 21:37:31 anthonyng2/FX-Trading-with-Python-and-Oanda finmath/finmath-lib inactive active 2021-04-21 01:25:51.827641
237 FX-1-Minute-Data Market Crash Prediction https://github.com/philipperemy/FX-1-Minute-Data https://github.com/sarachmax/MarketCrashes_Prediction/blob/master/LPPL_Comparasion.ipynb NEW Predicting market crashes using an LPPL model. Extended Research 2021-06-15 09:06:49 2020-10-06 21:01:42 288.0 1.0 111.0 3.0 4.0 1.0 2017-05-22 03:24:35 2019-01-24 13:37:45 2021-06-15 09:06:46 2019-02-13 16:48:00 philipperemy/FX-1-Minute-Data sarachmax/MarketCrashes_Prediction active inactive 2021-04-21 01:25:51.827641
238 fingerprintjs Corporate Finance https://github.com/fingerprintjs/fingerprintjs https://github.com/SeanMcOwen/FinanceAndPython.com-CorporateFinance NEW Basic corporate finance. Extended Research 2021-06-20 00:25:30 2021-01-16 19:01:31 13864.0 9.0 1655.0 5.0 67.0 1.0 2015-02-11 08:49:54 2017-09-09 03:35:24 2021-06-14 09:50:00 2017-09-09 23:04:48 fingerprintjs/fingerprintjs SeanMcOwen/FinanceAndPython.com-CorporateFinance active inactive 2021-04-21 01:25:51.827641
239 math-finance-cheat-sheet Economic Foundations https://github.com/daleroberts/math-finance-cheat-sheet https://github.com/SeanMcOwen/FinanceAndPython.com-EconomicFoundations NEW Basic economic models. Extended Research 2021-06-11 18:52:03 2020-10-06 21:01:59 192.0 2.0 30.0 4.0 1.0 2014-05-02 00:19:01 2017-05-25 02:27:36 2016-11-16 05:57:09 2017-06-30 03:53:59 daleroberts/math-finance-cheat-sheet SeanMcOwen/FinanceAndPython.com-EconomicFoundations inactive 2021-04-21 01:25:51.827641
240 neural-finance Currency PCA https://github.com/Metnew/neural-finance https://github.com/shanemulqueen/python-finance-pca/blob/master/FX_spots_w_PCA.ipynb NEW Forex spots PCA. Extended Research 2021-04-13 10:50:40 2020-10-26 00:55:20 64.0 3.0 28.0 1.0 1.0 2016-12-30 17:14:13 2019-03-12 21:11:29 2017-06-26 22:42:06 2019-03-12 22:09:10 Metnew/neural-finance shanemulqueen/python-finance-pca inactive 2021-04-21 01:25:51.827641
241 bot18 freqtrade_bot https://github.com/carlos8f/bot18 https://github.com/michael-fourie/freqtrade_bot NEW Extended Research 2021-06-19 06:24:54 2021-06-19 22:12:08 169.0 70.0 32.0 23.0 2.0 1.0 2018-05-23 14:22:25 2020-12-21 00:14:25 2018-10-17 08:06:21 2021-01-07 19:52:54 carlos8f/bot18 michael-fourie/freqtrade_bot inactive active 2021-04-21 01:25:51.827641
242 UGFraud Commodity https://github.com/safe-graph/UGFraud https://github.com/felipessalvatore/fin2vec/blob/master/src/Commodity2BR.ipynb NEW Commodity influence over Brazilian stocks. Extended Research 2021-06-12 20:38:34 60.0 16.0 2.0 2020-06-01 22:34:14 2021-04-11 19:01:44 safe-graph/UGFraud felipessalvatore/fin2vec active 2021-05-26 02:41:08.838631
243 Liquidity and Momentum https://github.com/mrefermat/quant_finance Various factors and portfolio constructions. Extended Research 2021-06-02 16:38:16 31.0 17.0 1.0 2018-08-11 22:59:53 2019-11-12 04:49:01 mrefermat/quant_finance active
244 448Project https://github.com/HujiaYuYoyo/448Project NEW Extended Research 2021-05-31 07:28:47 67.0 45.0 4.0 2018-04-14 21:19:21 2018-06-10 09:29:37 HujiaYuYoyo/448Project inactive 2021-04-21 01:25:51.827641
245 SumZeroTrading https://github.com/rterp/SumZeroTrading NEW Extended Research 2021-06-17 19:24:06 129.0 44.0 1.0 2016-01-19 05:43:31 2018-08-30 22:44:52 rterp/SumZeroTrading inactive 2021-04-21 01:25:51.827641
246 MIDAS https://github.com/Stream-AD/MIDAS NEW Extended Research 2021-06-18 18:19:33 615.0 71.0 3.0 2019-10-23 03:50:50 2021-06-08 08:19:24 Stream-AD/MIDAS active 2021-04-21 01:25:51.827641
247 Mathematical Finance https://github.com/Auquan/Tutorials Notebooks for math and financial tutorials. Extended Research 2021-06-17 07:17:36 686.0 448.0 9.0 2017-01-21 11:24:18 2020-08-01 17:03:32 Auquan/Tutorials active
248 tribeca https://github.com/michaelgrosner/tribeca NEW Extended Research 2021-06-19 09:23:13 3547.0 899.0 22.0 2015-07-07 18:40:45 2018-02-26 18:01:13 michaelgrosner/tribeca inactive 2021-04-21 01:25:51.827641
249 hummingbot_chinese https://github.com/CoinAlpha/hummingbot_chinese NEW Extended Research 2021-06-18 10:36:26 170.0 31.0 5.0 2019-06-05 22:53:04 2021-06-10 16:41:21 CoinAlpha/hummingbot_chinese active 2021-04-21 01:25:51.827641
250 Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras https://github.com/curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras NEW Extended Research 2021-05-29 05:14:43 347.0 237.0 1.0 2017-06-09 13:58:13 2019-06-28 09:27:45 curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras active 2021-04-21 01:25:51.827641
251 Q-Fin https://github.com/RomanMichaelPaolucci/Q-Fin NEW Extended Research 2021-06-07 16:23:39 52.0 8.0 1.0 2021-04-21 13:29:51 2021-06-07 16:23:33 RomanMichaelPaolucci/Q-Fin active 2021-06-02 04:27:12.212333
252 beymani https://github.com/pranab/beymani NEW Extended Research 2021-05-21 02:36:21 112.0 60.0 0.0 2012-01-04 07:22:01 2021-05-08 15:21:52 pranab/beymani active 2021-04-21 01:25:51.827641
253 UGFraud https://github.com/safe-graph/UGFraud NEW Extended Research 2021-06-12 20:38:34 60.0 16.0 2.0 2020-06-01 22:34:14 2021-04-11 19:01:44 safe-graph/UGFraud active 2021-05-26 02:41:08.838631
254 bot18 https://github.com/carlos8f/bot18 NEW Extended Research 2021-06-19 06:24:54 169.0 32.0 2.0 2018-05-23 14:22:25 2018-10-17 08:06:21 carlos8f/bot18 inactive 2021-04-21 01:25:51.827641
255 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
256 math-finance-cheat-sheet https://github.com/daleroberts/math-finance-cheat-sheet NEW Extended Research 2021-06-11 18:52:03 192.0 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
257 fingerprintjs https://github.com/fingerprintjs/fingerprintjs NEW Extended Research 2021-06-20 00:25:30 13864.0 1655.0 67.0 2015-02-11 08:49:54 2021-06-14 09:50:00 fingerprintjs/fingerprintjs active 2021-04-21 01:25:51.827641
258 FX-1-Minute-Data https://github.com/philipperemy/FX-1-Minute-Data NEW Extended Research 2021-06-15 09:06:49 288.0 111.0 4.0 2017-05-22 03:24:35 2021-06-15 09:06:46 philipperemy/FX-1-Minute-Data active 2021-04-21 01:25:51.827641
259 FX-Trading-with-Python-and-Oanda https://github.com/anthonyng2/FX-Trading-with-Python-and-Oanda NEW Extended Research 2021-02-20 20:49:53 57.0 42.0 1.0 2017-02-23 07:48:12 2017-08-14 03:21:30 anthonyng2/FX-Trading-with-Python-and-Oanda inactive 2021-04-21 01:25:51.827641
260 Fraud_Detection_Techniques https://github.com/wmlba/Fraud_Detection_Techniques NEW Extended Research 2021-05-13 07:14:15 62.0 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
261 Fraud-detection-using-deep-learning https://github.com/aaxwaz/Fraud-detection-using-deep-learning NEW Extended Research 2021-06-11 06:39:22 104.0 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
262 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
263 fx_systrade https://github.com/ryogrid/fx_systrade NEW Extended Research 2021-05-09 01:04:16 81.0 29.0 2.0 2015-07-24 11:46:28 2020-10-23 10:17:01 ryogrid/fx_systrade active 2021-04-21 01:25:51.827641
264 roq-samples https://github.com/roq-trading/roq-samples NEW Extended Research 2021-06-19 17:18:00 65.0 24.0 3.0 2018-03-27 04:19:09 2021-05-30 07:15:02 roq-trading/roq-samples active 2021-05-05 01:50:21.293278
265 getIPIntel https://github.com/blackdotsh/getIPIntel NEW Extended Research 2021-06-10 08:40:37 155.0 32.0 4.0 2015-10-02 21:40:50 2021-01-24 01:09:18 blackdotsh/getIPIntel active 2021-04-21 01:25:51.827641
266 graph-fraud-detection-papers https://github.com/safe-graph/graph-fraud-detection-papers NEW Extended Research 2021-06-19 02:39:30 390.0 72.0 2.0 2019-11-21 05:39:23 2021-06-17 02:52:30 safe-graph/graph-fraud-detection-papers active 2021-04-21 01:25:51.827641
267 Avellaneda-Stoikov https://github.com/mdibo/Avellaneda-Stoikov NEW Extended Research 2021-06-07 04:17:42 52.0 42.0 1.0 2017-10-16 03:36:34 2020-05-09 23:35:08 mdibo/Avellaneda-Stoikov active 2021-06-02 04:27:12.212333
268 fraud-detection-using-machine-learning https://github.com/awslabs/fraud-detection-using-machine-learning NEW Extended Research 2021-06-09 19:03:27 98.0 61.0 6.0 2019-05-17 17:12:46 2021-06-09 19:03:19 awslabs/fraud-detection-using-machine-learning active 2021-04-21 01:25:51.827641
269 kafka-fraud-detector https://github.com/florimondmanca/kafka-fraud-detector NEW Extended Research 2021-06-18 12:30:23 61.0 45.0 3.0 2018-09-13 17:36:49 2019-04-29 22:04:23 florimondmanca/kafka-fraud-detector inactive 2021-04-21 01:25:51.827641
270 Computational Finance https://github.com/lnsongxf/Applied_Computational_Economics_and_Finance Applied Computational Economics and Finance. Extended Research 2021-05-31 04:01:48 13.0 14.0 1.0 2017-08-27 03:46:33 2017-08-26 04:26:04 lnsongxf/Applied_Computational_Economics_and_Finance inactive
271 StockPredictionRNN https://github.com/dzitkowskik/StockPredictionRNN NEW Extended Research 2021-06-19 17:17:29 504.0 216.0 2.0 2015-11-26 19:00:35 2016-05-21 15:51:22 dzitkowskik/StockPredictionRNN inactive 2021-04-21 01:25:51.827641
272 High-Frequency-Trading-Model-with-IB https://github.com/jamesmawm/High-Frequency-Trading-Model-with-IB NEW Extended Research 2021-06-19 21:27:55 1860.0 551.0 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
273 avellaneda-stoikov https://github.com/ragoragino/avellaneda-stoikov NEW Extended Research 2021-05-31 12:38:50 57.0 20.0 1.0 2017-10-21 20:53:00 2017-10-30 18:23:27 ragoragino/avellaneda-stoikov inactive 2021-04-21 01:25:51.827641
274 DGFraud https://github.com/safe-graph/DGFraud NEW Extended Research 2021-06-19 13:49:30 323.0 86.0 4.0 2019-11-22 14:02:36 2021-05-27 21:12:27 safe-graph/DGFraud active 2021-04-21 01:25:51.827641
275 High-Frequency-Trading-Simulation-System https://github.com/chenhaotian/High-Frequency-Trading-Simulation-System NEW Extended Research 2021-05-21 16:30:46 51.0 25.0 1.0 2016-06-14 13:50:39 2018-04-16 08:48:10 chenhaotian/High-Frequency-Trading-Simulation-System inactive 2021-04-21 01:25:51.827641
276 system talkingdata-adtracking-fraud-detection https://github.com/BillRun/system https://github.com/flowlight0/talkingdata-adtracking-fraud-detection NEW Extended Research 2021-05-26 10:11:38 2021-06-08 07:39:19 86.0 204.0 54.0 8.0 1.0 2013-04-11 16:14:53 2018-03-21 11:27:31 2020-07-02 15:32:31 2018-06-10 15:30:50 BillRun/system flowlight0/talkingdata-adtracking-fraud-detection active inactive 2021-04-21 01:25:51.827641
277 exchange-core https://github.com/mzheravin/exchange-core NEW Extended Research 2021-06-18 10:38:11 944.0 427.0 7.0 2018-08-05 18:25:16 2021-04-25 18:24:27 mzheravin/exchange-core active 2021-04-21 01:25:51.827641
278 Krypto-trading-bot PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop https://github.com/ctubio/Krypto-trading-bot https://github.com/TheSnowGuru/PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop NEW Extended Research 2021-06-19 22:30:38 2021-06-19 15:43:43 2290.0 141.0 619.0 40.0 49.0 2.0 2017-06-13 20:15:54 2020-07-05 07:59:38 2021-06-19 19:10:33 2021-05-26 17:17:24 ctubio/Krypto-trading-bot TheSnowGuru/PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop active 2021-04-21 01:25:51.827641
279 fecon236 https://github.com/MathSci/fecon236 NEW Extended Research 2021-06-01 06:28:35 78.0 44.0 2.0 2018-04-05 19:34:51 2019-01-11 08:07:56 MathSci/fecon236 inactive 2021-04-21 01:25:51.827641
280 wondertrader https://github.com/wondertrader/wondertrader NEW Extended Research 2021-06-18 09:12:53 284.0 74.0 2.0 2020-03-30 05:43:52 2021-05-24 06:04:06 wondertrader/wondertrader active 2021-04-21 01:25:51.827641
281 algotrading https://github.com/ivopetiz/algotrading NEW Extended Research 2021-06-19 15:41:33 338.0 84.0 3.0 2018-07-10 22:10:41 2021-06-15 22:29:16 ivopetiz/algotrading active 2021-04-21 01:25:51.827641
282 system https://github.com/BillRun/system NEW Extended Research 2021-05-26 10:11:38 86.0 54.0 8.0 2013-04-11 16:14:53 2020-07-02 15:32:31 BillRun/system active 2021-04-21 01:25:51.827641
283 TradingStrategies https://github.com/SoftAlgoTrade/TradingStrategies NEW Extended Research 2021-06-13 07:20:47 119.0 55.0 1.0 2017-05-22 20:46:35 2017-10-29 11:09:37 SoftAlgoTrade/TradingStrategies inactive 2021-04-21 01:25:51.827641
284 HFT_Bitcoin https://github.com/ghgr/HFT_Bitcoin NEW Extended Research 2021-05-07 12:27:55 72.0 23.0 1.0 2017-07-27 07:11:48 2017-08-21 14:50:35 ghgr/HFT_Bitcoin inactive 2021-04-21 01:25:51.827641
285 roq-api https://github.com/roq-trading/roq-api NEW Extended Research 2021-06-19 15:37:55 156.0 47.0 1.0 2018-03-05 08:37:57 2021-05-30 09:29:25 roq-trading/roq-api active 2021-04-21 01:25:51.827641
286 InteractiveBrokers-Algo-System https://github.com/rediar/InteractiveBrokers-Algo-System NEW Extended Research 2021-06-18 13:40:18 157.0 65.0 1.0 2018-01-21 03:09:41 2018-10-25 02:56:15 rediar/InteractiveBrokers-Algo-System inactive 2021-04-21 01:25:51.827641
287 wattnet-fx-trading https://github.com/Zymrael/wattnet-fx-trading NEW Extended Research 2021-06-15 03:39:40 61.0 12.0 1.0 2019-09-13 08:44:27 2020-08-19 05:49:12 Zymrael/wattnet-fx-trading active 2021-04-21 01:25:51.827641
288 tradingrrl https://github.com/darden1/tradingrrl NEW Extended Research 2021-05-05 10:46:14 60.0 34.0 1.0 2017-03-05 07:20:56 2018-11-14 13:19:52 darden1/tradingrrl inactive 2021-04-21 01:25:51.827641
289 wtpy https://github.com/wondertrader/wtpy NEW Extended Research 2021-06-15 02:46:29 70.0 22.0 1.0 2020-06-18 01:43:25 2021-05-25 12:29:32 wondertrader/wtpy active 2021-04-21 01:25:51.827641
290 fraud-detection-papers https://github.com/IPL/fraud-detection-papers NEW Extended Research 2021-06-04 07:41:09 134.0 31.0 1.0 2017-09-29 02:47:54 2021-02-03 09:47:27 IPL/fraud-detection-papers active 2021-04-21 01:25:51.827641
291 awesome-fraud-detection-papers https://github.com/benedekrozemberczki/awesome-fraud-detection-papers NEW Extended Research 2021-06-15 03:17:04 890.0 189.0 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
292 fraud-detection https://github.com/yazanobeidi/fraud-detection NEW Extended Research 2021-06-07 09:42:30 60.0 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
293 math-php https://github.com/markrogoyski/math-php NEW Extended Research 2021-06-19 11:43:23 1922.0 201.0 17.0 2016-04-03 17:57:14 2021-05-09 19:53:17 markrogoyski/math-php active 2021-04-21 01:25:51.827641
294 Fraud_Detector https://github.com/kskk02/Fraud_Detector NEW Extended Research 2021-05-19 15:04:04 58.0 35.0 1.0 2014-07-03 20:52:51 2015-01-15 22:03:04 kskk02/Fraud_Detector inactive 2021-04-21 01:25:51.827641
295 gym-fx https://github.com/harveybc/gym-fx NEW Extended Research 2021-06-03 17:36:35 157.0 42.0 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
296 Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras Krypto-trading-bot https://github.com/curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras https://github.com/ctubio/Krypto-trading-bot NEW Extended Research 2021-05-29 05:14:43 2021-06-19 22:30:38 347.0 2290.0 237.0 619.0 1.0 49.0 2017-06-09 13:58:13 2017-06-13 20:15:54 2019-06-28 09:27:45 2021-06-19 19:10:33 curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras ctubio/Krypto-trading-bot active 2021-04-21 01:25:51.827641
ml-fraud-detection https://github.com/georgymh/ml-fraud-detection NEW Extended Research 2021-06-17 15:05:39 122.0 92.0 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
297 TalkingData https://github.com/CuteChibiko/TalkingData NEW Extended Research 2021-06-06 19:34:41 101.0 39.0 1.0 2018-05-09 15:17:45 2018-05-11 01:32:26 CuteChibiko/TalkingData inactive 2021-04-21 01:25:51.827641
298 crypto-database https://github.com/ivopetiz/crypto-database NEW Extended Research 2021-05-25 11:07:34 58.0 24.0 2.0 2018-02-22 21:34:11 2019-10-04 13:06:18 ivopetiz/crypto-database active 2021-04-21 01:25:51.827641
299 Trading-Bot https://github.com/RaidasGrisk/Trading-Bot NEW Extended Research 2021-06-09 18:44:23 77.0 33.0 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
300 fraud-detection-papers ml-fraud-detection https://github.com/IPL/fraud-detection-papers https://github.com/georgymh/ml-fraud-detection NEW Extended Research 2021-06-04 07:41:09 2021-06-17 15:05:39 134.0 122.0 31.0 92.0 1.0 2.0 2017-09-29 02:47:54 2017-04-27 01:48:35 2021-02-03 09:47:27 2018-01-31 21:17:26 IPL/fraud-detection-papers georgymh/ml-fraud-detection active inactive 2021-04-21 01:25:51.827641
awesome-fraud-detection-papers https://github.com/benedekrozemberczki/awesome-fraud-detection-papers NEW Extended Research 2021-06-15 03:17:04 890.0 189.0 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
tradingrrl https://github.com/darden1/tradingrrl NEW Extended Research 2021-05-05 10:46:14 60.0 34.0 1.0 2017-03-05 07:20:56 2018-11-14 13:19:52 darden1/tradingrrl inactive 2021-04-21 01:25:51.827641
wattnet-fx-trading https://github.com/Zymrael/wattnet-fx-trading NEW Extended Research 2021-06-15 03:39:40 61.0 12.0 1.0 2019-09-13 08:44:27 2020-08-19 05:49:12 Zymrael/wattnet-fx-trading active 2021-04-21 01:25:51.827641
InteractiveBrokers-Algo-System https://github.com/rediar/InteractiveBrokers-Algo-System NEW Extended Research 2021-06-18 13:40:18 157.0 65.0 1.0 2018-01-21 03:09:41 2018-10-25 02:56:15 rediar/InteractiveBrokers-Algo-System inactive 2021-04-21 01:25:51.827641
roq-api https://github.com/roq-trading/roq-api NEW Extended Research 2021-06-19 15:37:55 156.0 47.0 1.0 2018-03-05 08:37:57 2021-05-30 09:29:25 roq-trading/roq-api active 2021-04-21 01:25:51.827641
wtpy https://github.com/wondertrader/wtpy NEW Extended Research 2021-06-15 02:46:29 70.0 22.0 1.0 2020-06-18 01:43:25 2021-05-25 12:29:32 wondertrader/wtpy active 2021-04-21 01:25:51.827641
HFT_Bitcoin https://github.com/ghgr/HFT_Bitcoin NEW Extended Research 2021-05-07 12:27:55 72.0 23.0 1.0 2017-07-27 07:11:48 2017-08-21 14:50:35 ghgr/HFT_Bitcoin inactive 2021-04-21 01:25:51.827641
TradingStrategies https://github.com/SoftAlgoTrade/TradingStrategies NEW Extended Research 2021-06-13 07:20:47 119.0 55.0 1.0 2017-05-22 20:46:35 2017-10-29 11:09:37 SoftAlgoTrade/TradingStrategies inactive 2021-04-21 01:25:51.827641
algotrading https://github.com/ivopetiz/algotrading NEW Extended Research 2021-06-19 15:41:33 338.0 84.0 3.0 2018-07-10 22:10:41 2021-06-15 22:29:16 ivopetiz/algotrading active 2021-04-21 01:25:51.827641
wondertrader https://github.com/wondertrader/wondertrader NEW Extended Research 2021-06-18 09:12:53 284.0 74.0 2.0 2020-03-30 05:43:52 2021-05-24 06:04:06 wondertrader/wondertrader active 2021-04-21 01:25:51.827641
fecon236 https://github.com/MathSci/fecon236 NEW Extended Research 2021-06-01 06:28:35 78.0 44.0 2.0 2018-04-05 19:34:51 2019-01-11 08:07:56 MathSci/fecon236 inactive 2021-04-21 01:25:51.827641
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 2021-06-19 15:43:43 141.0 40.0 2.0 2020-07-05 07:59:38 2021-05-26 17:17:24 TheSnowGuru/PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop active 2021-04-21 01:25:51.827641
Q-Fin https://github.com/RomanMichaelPaolucci/Q-Fin NEW Extended Research 2021-06-07 16:23:39 52.0 8.0 1.0 2021-04-21 13:29:51 2021-06-07 16:23:33 RomanMichaelPaolucci/Q-Fin active 2021-06-02 04:27:12.212333
avellaneda-stoikov https://github.com/ragoragino/avellaneda-stoikov NEW Extended Research 2021-05-31 12:38:50 57.0 20.0 1.0 2017-10-21 20:53:00 2017-10-30 18:23:27 ragoragino/avellaneda-stoikov inactive 2021-04-21 01:25:51.827641
hummingbot_chinese https://github.com/CoinAlpha/hummingbot_chinese NEW Extended Research 2021-06-18 10:36:26 170.0 31.0 5.0 2019-06-05 22:53:04 2021-06-10 16:41:21 CoinAlpha/hummingbot_chinese active 2021-04-21 01:25:51.827641
algo-trader-tool-suite https://github.com/K0414/algo-trader-tool-suite NEW Extended Research 2021-04-15 04:00:52 58.0 52.0 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 2021-06-12 08:04:27 52.0 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
ReactiveTraderCloud https://github.com/AdaptiveConsulting/ReactiveTraderCloud NEW Extended Research 2021-06-19 13:42:20 1591.0 504.0 81.0 2015-11-13 19:24:11 2021-05-10 13:20:10 AdaptiveConsulting/ReactiveTraderCloud active 2021-04-21 01:25:51.827641
2018-Kaggle-AdTrackingFraud https://github.com/ShawnyXiao/2018-Kaggle-AdTrackingFraud NEW Extended Research 2021-05-21 03:36:04 72.0 23.0 1.0 2018-05-08 09:29:46 2019-01-12 07:57:33 ShawnyXiao/2018-Kaggle-AdTrackingFraud inactive 2021-04-21 01:25:51.827641
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
HFT https://github.com/rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy High frequency trading. Extended Research 2021-06-18 09:04:04 792.0 340.0 1.0 2016-07-21 05:14:14 2017-02-14 16:47:25 rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy inactive
example-hftish https://github.com/alpacahq/example-hftish NEW Extended Research 2021-06-19 16:36:18 398.0 170.0 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 2021-06-18 16:33:16 482.0 152.0 33.0 2013-12-26 10:22:00 2021-06-18 13:58:15 OpenHFT/OpenHFT active 2021-04-21 01:25:51.827641
hft https://github.com/nickhuangxinyu/hft NEW Extended Research 2021-06-18 07:23:41 165.0 85.0 2.0 2019-03-12 14:57:01 2021-05-07 04:09:18 nickhuangxinyu/hft active 2021-04-21 01:25:51.827641
tectonicdb https://github.com/0b01/tectonicdb NEW Extended Research 2021-06-18 18:20:19 351.0 56.0 10.0 2017-10-03 00:34:01 2020-09-08 23:02:20 0b01/tectonicdb active 2021-04-21 01:25:51.827641
Bayesian Finance https://github.com/marketneutral/alphatools/blob/master/notebooks/pymc3-minimal.ipynb Notebook PyMC3 implementation. Extended Research 2021-06-18 04:34:41 249.0 59.0 1.0 2018-08-28 14:45:00 2020-08-06 22:03:47 marketneutral/alphatools active
fraud-detection-demo https://github.com/afedulov/fraud-detection-demo NEW Extended Research 2021-06-19 03:58:45 177.0 73.0 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
HFT-CNN https://github.com/ShimShim46/HFT-CNN NEW Extended Research 2021-05-24 06:03:42 73.0 19.0 1.0 2018-08-18 06:39:32 2018-11-09 02:29:00 ShimShim46/HFT-CNN inactive 2021-04-21 01:25:51.827641
Financial-Formulas-Library-.NET-Standard https://github.com/srbrettle/Financial-Formulas-Library-.NET-Standard NEW Extended Research 2021-06-17 19:29:37 114.0 31.0 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
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
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
Bayesian Finance I https://github.com/AlexIoannides/pymc-stochastic-process/blob/master/bayes_stoch_proc_calib.ipynb Stochastic Process Calibration using Bayesian Inference & Probabilistic Programs. Extended Research 2021-05-18 12:27:07 27.0 6.0 0.0 2019-01-04 12:30:41 2019-02-18 09:55:21 AlexIoannides/pymc-stochastic-process inactive
Chronicle-Accelerate https://github.com/OpenHFT/Chronicle-Accelerate NEW Extended Research 2020-12-11 04:11:30 55.0 13.0 7.0 2018-01-24 08:52:53 2018-08-11 12:11:43 OpenHFT/Chronicle-Accelerate inactive 2021-04-21 01:25:51.827641
Simulation https://github.com/chenbowen184/Computational_Finance Investigating simulations as part of computational finance. Extended Research 2021-05-18 09:14:31 19.0 12.0 1.0 2018-01-29 05:01:52 2018-08-02 05:56:49 chen-bowen/Computational_Finance inactive
Financial Economics https://github.com/rsvp/fecon235/tree/master/nb Financial Economics Models. Extended Research 2021-06-18 21:39:36 726.0 280.0 2.0 2014-11-09 04:49:01 2018-12-03 16:30:28 rsvp/fecon235 inactive
ITCH https://github.com/martinobdl/ITCH NEW Extended Research 2021-06-19 17:03:58 71.0 27.0 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 2021-06-18 07:24:06 440.0 150.0 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
go-quantcup https://github.com/rdingwall/go-quantcup NEW Extended Research 2021-05-31 02:35:13 74.0 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
finmath-lib https://github.com/finmath/finmath-lib NEW Extended Research 2021-06-14 19:46:15 316.0 127.0 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
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 2021-06-17 07:17:36 686.0 448.0 9.0 2017-01-21 11:24:18 2020-08-01 17:03:32 Auquan/Tutorials active
MIDAS https://github.com/Stream-AD/MIDAS NEW Extended Research 2021-06-18 18:19:33 615.0 71.0 3.0 2019-10-23 03:50:50 2021-06-08 08:19:24 Stream-AD/MIDAS active 2021-04-21 01:25:51.827641
SumZeroTrading https://github.com/rterp/SumZeroTrading NEW Extended Research 2021-06-17 19:24:06 129.0 44.0 1.0 2016-01-19 05:43:31 2018-08-30 22:44:52 rterp/SumZeroTrading inactive 2021-04-21 01:25:51.827641
448Project https://github.com/HujiaYuYoyo/448Project NEW Extended Research 2021-05-31 07:28:47 67.0 45.0 4.0 2018-04-14 21:19:21 2018-06-10 09:29:37 HujiaYuYoyo/448Project inactive 2021-04-21 01:25:51.827641
Liquidity and Momentum https://github.com/mrefermat/quant_finance Various factors and portfolio constructions. Extended Research 2021-06-02 16:38:16 31.0 17.0 1.0 2018-08-11 22:59:53 2019-11-12 04:49:01 mrefermat/quant_finance active
Commodity https://github.com/felipessalvatore/fin2vec/blob/master/src/Commodity2BR.ipynb Commodity influence over Brazilian stocks. Extended Research felipessalvatore/fin2vec
freqtrade_bot https://github.com/michael-fourie/freqtrade_bot NEW Extended Research 2021-06-19 22:12:08 70.0 23.0 1.0 2020-12-21 00:14:25 2021-01-07 19:52:54 michael-fourie/freqtrade_bot active 2021-04-21 01:25:51.827641
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
Economic Foundations https://github.com/SeanMcOwen/FinanceAndPython.com-EconomicFoundations Basic economic models. Extended Research 2020-10-06 21:01:59 2.0 4.0 1.0 2017-05-25 02:27:36 2017-06-30 03:53:59 SeanMcOwen/FinanceAndPython.com-EconomicFoundations inactive
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
tribeca https://github.com/michaelgrosner/tribeca NEW Extended Research 2021-06-19 09:23:13 3547.0 899.0 22.0 2015-07-07 18:40:45 2018-02-26 18:01:13 michaelgrosner/tribeca inactive 2021-04-21 01:25:51.827641
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
spartan https://github.com/rigtorp/spartan NEW Extended Research 2021-06-12 19:19:28 166.0 62.0 1.0 2012-11-22 04:29:42 2015-10-31 03:46:06 rigtorp/spartan inactive 2021-04-21 01:25:51.827641
Backtests https://github.com/AlgoTraders/stock-analysis-engine Trading data and algorithms. Extended Research 2021-06-19 15:12:54 653.0 181.0 3.0 2018-09-16 20:00:36 2020-09-05 13:01:05 AlgoTraders/stock-analysis-engine active
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
Real Estate Property Fraud https://github.com/aviroop1/Real_Estate_Property_Fraud Unsupervised fraud detection model that can identify likely candidates of fraud. Extended Research aviroop1/Real_Estate_Property_Fraud
Behavioural Economics https://github.com/pcmichaud/notebooks Behavioural Economics and Finance Python Notebooks. Extended Research 2021-02-03 07:22:40 9.0 4.0 1.0 2018-12-20 00:21:38 2019-03-26 11:51:46 pcmichaud/notebooks inactive
High Frequency https://github.com/cswaney/prickle A Python toolkit for high-frequency trade research. Extended Research 2021-06-19 15:55:33 26.0 17.0 2.0 2016-07-06 20:32:21 2018-06-09 10:53:51 cswaney/prickle inactive
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
kungfu https://github.com/kungfu-origin/kungfu NEW Extended Research 2021-06-18 13:40:23 2379.0 869.0 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
HFTrader https://github.com/DrAshBooth/HFTrader NEW Extended Research 2021-05-04 20:42:44 70.0 43.0 0.0 2012-12-03 13:57:19 2012-12-12 17:17:09 DrAshBooth/HFTrader inactive 2021-04-21 01:25:51.827641
AlphaTrading https://github.com/jerryxyx/AlphaTrading NEW Factor and Risk Analysis 2021-06-09 02:31:50 152.0 77.0 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/alpha-miner/alpha-mind/tree/master/notebooks Factor strategy notebooks. Factor and Risk Analysis 2021-05-26 06:58:08 176.0 60.0 3.0 2017-05-01 07:36:54 2021-04-07 15:25:27 alpha-miner/alpha-mind 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 4.0 1.0 2017-08-07 14:44:32 2017-08-08 22:52:11 Jorgencr/Alternative-and-Responsible-Investments inactive
simulate https://github.com/leolle/simulate NEW Factor and Risk Analysis 2021-03-23 13:34:53 11.0 2.0 1.0 2017-06-04 15:18:21 2018-11-11 14:03:40 leolle/simulate inactive 23:57.7
Stock-Prediction https://github.com/Ronak-59/Stock-Prediction NEW Factor and Risk Analysis 2021-05-21 17:30:59 138.0 68.0 2.0 2018-03-18 04:54:45 2020-02-28 11:43:07 Ronak-59/Stock-Prediction active 37:06.3
TradeFinexLive https://github.com/XinFinOrg/TradeFinexLive NEW Factor and Risk Analysis 2021-03-18 09:48:52 5.0 12.0 8.0 2018-03-21 10:05:22 2021-03-18 09:48:32 XinFinOrg/TradeFinexLive active 23:57.7
Pyfolio https://github.com/quantopian/pyfolio Portfolio and risk analytics in Python. Factor and Risk Analysis 2021-06-19 12:45:14 3855.0 1221.0 42.0 2015-06-01 15:31:39 2020-02-28 17:30:19 quantopian/pyfolio active
Machine_learning_In_Finance https://github.com/chaudharigauravi/Machine_learning_In_Finance NEW Factor and Risk Analysis 2020-11-27 19:23:33 8.0 3.0 1.0 2019-08-03 04:04:51 2019-08-03 04:05:32 chaudharigauravi/Machine_learning_In_Finance active 23:57.7
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
VaR GaN https://github.com/hamaadshah/market_risk_gan_keras Estimate Value-at-Risk for market risk management using Keras and TensorFlow. Factor and Risk Analysis 2021-06-11 21:56:12 42.0 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/garvit-kudesia91/factor_analysis/blob/master/Factor%20Analysis%20of%20Mutual%20Funds.ipynb Factor analysis for mutual funds. Factor and Risk Analysis 2020-12-21 14:26:46 3.0 4.0 1.0 2018-03-13 07:39:20 2018-03-13 07:42:36 garvit-kudesia91/factor_analysis inactive
-L- https://github.com/jettbrains/-L- NEW Factor and Risk Analysis 2021-03-15 03:05:00 6.0 17.0 1.0 2019-10-28 21:50:26 2019-10-28 21:51:19 jettbrains/-L- active 23:57.7
Performance Analysis https://github.com/quantopian/alphalens Performance analysis of predictive (alpha) stock factors. Factor and Risk Analysis 2021-06-19 12:45:10 1950.0 742.0 17.0 2016-06-03 21:49:15 2020-04-27 18:40:41 quantopian/alphalens active
301 Quant Finance https://github.com/mrefermat/quant_finance General quant repository. Factor and Risk Analysis 2021-06-02 16:38:16 31.0 17.0 1.0 2018-08-11 22:59:53 2019-11-12 04:49:01 mrefermat/quant_finance active
Risk and Return https://github.com/PyDataBlog/Python-for-Data-Science/tree/master/Tutorials Riskiness of portfolios and assets. Factor and Risk Analysis 2021-06-05 14:54:12 148.0 63.0 2.0 2017-09-12 13:35:09 2020-08-06 12:35:44 PyDataBlog/Python-for-Data-Science active
Risk Basic https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%203%2C%20Risk.ipynb Active portfolio risk management . Factor and Risk Analysis 2021-03-01 13:53:42 31.0 18.0 1.0 2016-05-10 11:03:48 2016-05-17 03:44:56 RJT1990/Active-Portfolio-Management-Notes inactive
CAPM https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%202%2C%20CAPM.ipynb Expected returns using CAPM. Factor and Risk Analysis 2021-03-01 13:53:42 31.0 18.0 1.0 2016-05-10 11:03:48 2016-05-17 03:44:56 RJT1990/Active-Portfolio-Management-Notes inactive
Python for Finance https://github.com/yhilpisch/py4fi/tree/master/jupyter36 Various financial notebooks. Factor and Risk Analysis 2021-06-19 08:11:59 1326.0 801.0 1.0 2014-12-15 11:23:34 2018-07-10 06:38:12 yhilpisch/py4fi inactive
VaR https://github.com/willb/var-notebook/blob/master/var-notebook/var-pdfs.ipynb Value-at-risk calculations. Factor and Risk Analysis 2021-03-31 02:06:48 10.0 9.0 1.0 2016-11-15 19:24:17 2017-01-14 21:19:30 willb/var-notebook inactive
Convex Optimisation https://github.com/ssanderson/convex-optimization-for-finance/blob/master/notebooks/Main.ipynb Convex Optimization for Finance. Factor and Risk Analysis 2021-04-08 19:02:22 18.0 11.0 1.0 2018-06-26 20:36:47 2019-10-22 21:56:46 ssanderson/convex-optimization-for-finance active
Statistical Finance https://github.com/mrefermat/FinancePhD/tree/master/FinancialExperiments Various financial experiments. Factor and Risk Analysis 2021-03-30 00:09:28 21.0 17.0 1.0 2015-10-04 09:10:54 2020-03-28 18:33:58 mrefermat/FinancePhD active
302 Quantropy https://github.com/AlainDaccache/Quantropy NEW Factor and Risk Analysis 2021-06-19 23:12:00 27.0 4.0 2.0 2020-06-13 15:34:25 2021-03-15 01:49:23 AlainDaccache/Quantropy active 2021-05-05 01:50:30.163258
303 rating_history Statistical Finance https://github.com/govwiki/rating_history https://github.com/mrefermat/FinancePhD/tree/master/FinancialExperiments NEW Various financial experiments. Fixed Income Factor and Risk Analysis 2021-05-02 23:24:59 2021-03-30 00:09:28 27.0 21.0 15.0 17.0 1.0 2017-11-23 22:52:14 2015-10-04 09:10:54 2017-12-03 20:42:49 2020-03-28 18:33:58 govwiki/rating_history mrefermat/FinancePhD inactive active 24:33.4
304 DROP-Fixed-Income Convex Optimisation https://github.com/lakshmiDRIP/DROP-Fixed-Income https://github.com/ssanderson/convex-optimization-for-finance/blob/master/notebooks/Main.ipynb NEW Convex Optimization for Finance. Fixed Income Factor and Risk Analysis 2021-06-16 02:44:50 2021-04-08 19:02:22 20.0 18.0 10.0 11.0 1.0 2017-08-10 20:58:18 2018-06-26 20:36:47 2018-09-26 19:21:02 2019-10-22 21:56:46 lakshmiDRIP/DROP-Fixed-Income ssanderson/convex-optimization-for-finance inactive active 2021-06-17 01:50:56.302719
305 Vasicek VaR https://github.com/RobinsonGarcia/fixed-income/blob/master/2.0%20Vasicek%20-%20example.ipynb https://github.com/willb/var-notebook/blob/master/var-notebook/var-pdfs.ipynb Bootstrapping and interpolation. Value-at-risk calculations. Fixed Income Factor and Risk Analysis 2020-12-10 21:20:03 2021-03-31 02:06:48 3.0 10.0 3.0 9.0 1.0 2018-07-18 19:26:54 2016-11-15 19:24:17 2018-07-18 19:34:48 2017-01-14 21:19:30 RobinsonGarcia/fixed-income willb/var-notebook inactive
306 Corporate Bonds Python for Finance https://github.com/ishank011/gs-quantify-bond-prediction https://github.com/yhilpisch/py4fi/tree/master/jupyter36 Predicting the buying and selling volume of the corporate bonds. Various financial notebooks. Fixed Income Factor and Risk Analysis 2021-06-07 03:06:04 2021-06-19 08:11:59 8.0 1326.0 5.0 801.0 1.0 2017-09-27 19:57:13 2014-12-15 11:23:34 2017-09-27 20:00:29 2018-07-10 06:38:12 ishank011/gs-quantify-bond-prediction yhilpisch/py4fi inactive
307 woe CAPM https://github.com/boredbird/woe https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%202%2C%20CAPM.ipynb NEW Expected returns using CAPM. Fixed Income Factor and Risk Analysis 2021-06-17 02:46:24 2021-03-01 13:53:42 226.0 31.0 96.0 18.0 1.0 2017-09-11 07:15:04 2016-05-10 11:03:48 2018-03-01 10:45:40 2016-05-17 03:44:56 boredbird/woe RJT1990/Active-Portfolio-Management-Notes inactive 24:33.4
308 Risk Basic https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%203%2C%20Risk.ipynb Active portfolio risk management . Factor and Risk Analysis 2021-03-01 13:53:42 31.0 18.0 1.0 2016-05-10 11:03:48 2016-05-17 03:44:56 RJT1990/Active-Portfolio-Management-Notes inactive
309 Risk and Return https://github.com/PyDataBlog/Python-for-Data-Science/tree/master/Tutorials Riskiness of portfolios and assets. Factor and Risk Analysis 2021-06-05 14:54:12 148.0 63.0 2.0 2017-09-12 13:35:09 2020-08-06 12:35:44 PyDataBlog/Python-for-Data-Science active
310 Performance Analysis https://github.com/quantopian/alphalens Performance analysis of predictive (alpha) stock factors. Factor and Risk Analysis 2021-06-19 12:45:10 1950.0 742.0 17.0 2016-06-03 21:49:15 2020-04-27 18:40:41 quantopian/alphalens active
311 Factor Analysis https://github.com/alpha-miner/alpha-mind/tree/master/notebooks Factor strategy notebooks. Factor and Risk Analysis 2021-05-26 06:58:08 176.0 60.0 3.0 2017-05-01 07:36:54 2021-04-07 15:25:27 alpha-miner/alpha-mind active
312 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
313 VaR GaN https://github.com/hamaadshah/market_risk_gan_keras Estimate Value-at-Risk for market risk management using Keras and TensorFlow. Factor and Risk Analysis 2021-06-11 21:56:12 42.0 28.0 1.0 2018-08-06 16:09:44 2020-11-22 19:02:07 hamaadshah/market_risk_gan_tensorflow active
314 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
315 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
316 Pyfolio https://github.com/quantopian/pyfolio Portfolio and risk analytics in Python. Factor and Risk Analysis 2021-06-19 12:45:14 3855.0 1221.0 42.0 2015-06-01 15:31:39 2020-02-28 17:30:19 quantopian/pyfolio active
317 TradeFinexLive https://github.com/XinFinOrg/TradeFinexLive NEW Factor and Risk Analysis 2021-03-18 09:48:52 5.0 12.0 8.0 2018-03-21 10:05:22 2021-03-18 09:48:32 XinFinOrg/TradeFinexLive active 23:57.7
318 Stock-Prediction https://github.com/Ronak-59/Stock-Prediction NEW Factor and Risk Analysis 2021-05-21 17:30:59 138.0 68.0 2.0 2018-03-18 04:54:45 2020-02-28 11:43:07 Ronak-59/Stock-Prediction active 37:06.3
319 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
320 Various Risk Measures https://github.com/Jorgencr/Alternative-and-Responsible-Investments/blob/master/Final_masterfile.ipynb Risk measures and factors for alternative and responsible investments. Factor and Risk Analysis 2020-11-04 07:04:38 4.0 4.0 1.0 2017-08-07 14:44:32 2017-08-08 22:52:11 Jorgencr/Alternative-and-Responsible-Investments inactive
321 AlphaTrading https://github.com/jerryxyx/AlphaTrading NEW Factor and Risk Analysis 2021-06-09 02:31:50 152.0 77.0 1.0 2018-05-18 22:09:52 2018-08-07 18:05:37 jerryxyx/AlphaTrading inactive 37:06.3
322 -L- https://github.com/jettbrains/-L- NEW Factor and Risk Analysis 2021-03-15 03:05:00 6.0 17.0 1.0 2019-10-28 21:50:26 2019-10-28 21:51:19 jettbrains/-L- active 23:57.7
323 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
Binomial Tree https://github.com/hy-lei/math-finance-exercise Utility functions in fixed income securities. Fixed Income 2020-10-06 20:55:18 1.0 2.0 1.0 2019-02-02 08:44:14 2019-05-03 17:16:52 hy-lei/math-finance-toolbox inactive
324 MagentoExtensions https://github.com/5mehulhelp5/MagentoExtensions NEW Fixed Income 2021-04-28 18:58:25 107.0 109.0 2.0 2014-07-03 05:45:54 2017-11-24 16:15:49 5mehulhelp5/MagentoExtensions inactive 24:33.4
325 finance_ml woe https://github.com/jjakimoto/finance_ml https://github.com/boredbird/woe 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 NEW Other Models Fixed Income 2021-06-18 07:26:07 2021-06-17 02:46:24 293.0 226.0 126.0 96.0 1.0 2018-06-29 21:21:17 2017-09-11 07:15:04 2021-06-07 19:28:50 2018-03-01 10:45:40 jjakimoto/finance_ml boredbird/woe active inactive 1.0 39:24.6 24:33.4
326 Stock.Indicators Binomial Tree https://github.com/DaveSkender/Stock.Indicators https://github.com/hy-lei/math-finance-exercise 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 Utility functions in fixed income securities. Other Models Fixed Income 2021-06-20 00:43:13 2020-10-06 20:55:18 230.0 1.0 77.0 2.0 9.0 1.0 2019-12-29 05:18:07 2019-02-02 08:44:14 2021-06-19 20:33:03 2019-05-03 17:16:52 DaveSkender/Stock.Indicators hy-lei/math-finance-toolbox active inactive 3.0 39:24.6
327 Pattern-Recognition-for-Forex-Trading Vasicek https://github.com/PythonProgramming/Pattern-Recognition-for-Forex-Trading https://github.com/RobinsonGarcia/fixed-income/blob/master/2.0%20Vasicek%20-%20example.ipynb 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 Bootstrapping and interpolation. Other Models Fixed Income 2021-05-13 10:31:49 2020-12-10 21:20:03 177.0 3.0 92.0 3.0 1.0 2015-03-26 02:22:03 2018-07-18 19:26:54 2015-03-26 02:33:51 2018-07-18 19:34:48 PythonProgramming/Pattern-Recognition-for-Forex-Trading RobinsonGarcia/fixed-income inactive 1.0 39:24.6
328 stock-trading-ml DROP-Fixed-Income https://github.com/yacoubb/stock-trading-ml https://github.com/lakshmiDRIP/DROP-Fixed-Income 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 NEW Other Models Fixed Income 2021-06-17 21:04:49 2021-06-16 02:44:50 369.0 20.0 205.0 10.0 1.0 2019-10-10 09:44:02 2017-08-10 20:58:18 2019-10-12 11:38:49 2018-09-26 19:21:02 yacoubb/stock-trading-ml lakshmiDRIP/DROP-Fixed-Income active inactive 3.0 39:24.6 2021-06-17 01:50:56.302719
329 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 2021-06-19 22:07:36 2021-05-02 23:24:59 2193.0 27.0 702.0 15.0 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
330 mlfinlab Corporate Bonds https://github.com/hudson-and-thames/mlfinlab https://github.com/ishank011/gs-quantify-bond-prediction 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/) Predicting the buying and selling volume of the corporate bonds. Other Models Fixed Income 2021-06-18 08:54:36 2021-06-07 03:06:04 2426.0 8.0 746.0 5.0 3.0 1.0 2019-02-13 16:57:25 2017-09-27 19:57:13 2021-06-15 13:59:54 2017-09-27 20:00:29 hudson-and-thames/mlfinlab ishank011/gs-quantify-bond-prediction active inactive 3.0 39:24.6
Machine-Learning-For-Finance https://github.com/anthonyng2/Machine-Learning-For-Finance accompanying materials for slide [here](https://github.com/anthonyng2/Machine-Learning-For-Finance/blob/master/Regression%20Based%20Machine%20Learning%20for%20Algorithmic%20Trading/Machine%20Learning%20-%20Linear%20Regression%20for%20Algo%20Trading%20v2017-07-13.pdf) covering more tradition quant trading topics like pair trading/kalman filter/trend following etc. Referecing interesting paper [characterization of financial time series](http://www.cs.ucl.ac.uk/fileadmin/UCL-CS/research/Research_Notes/RN_11_01.pdf) Other Models 2021-06-04 14:27:22 205.0 121.0 1.0 2017-07-11 09:09:15 2018-02-21 05:36:35 anthonyng2/Machine-Learning-For-Finance inactive 2.0 39:24.6
botflow https://github.com/kkyon/botflow python dataflow programming framework. Similar and probably replaceable by sklearn.pipeline module. Uses [graphviz](https://graphviz.org/) for visiualization though not maintained with last commit over 3 years ago Other Models 2021-06-19 05:36:13 1171.0 103.0 8.0 2018-08-20 03:13:31 2019-05-23 14:40:50 kkyon/botflow inactive 2.0 39:24.6
Machine-Learning-for-Finance https://github.com/PacktPublishing/Machine-Learning-for-Finance repo for book [machine learning for finance](https://www.packtpub.com/product/machine-learning-for-finance/9781789136364) with heavier focus on machine learning and less on finance. Topics covered including computer vision/time series/nlp/generative models (i.e. autoencoder)/reinforcement learning/debugging ml systems Other Models 2021-06-14 12:07:26 192.0 130.0 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
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 2021-06-17 15:59:19 105.0 31.0 2.0 2017-09-03 17:43:03 2018-09-12 18:58:38 amicks/Speculator inactive 3.0 39:24.6
AlphaPy https://github.com/ScottfreeLLC/AlphaPy machine learning framework built on sklearn and pandas. Support pyfolio/xgboost/lightgmb/catboost(gradient boosting on decision tress) etc. Examples include financial market prediction/sports prediction/kaggle. Configurations are set though yaml file for all model process including feature selection/grid search on parameters and aggregate results for each model Other Models 2021-06-16 16:07:53 610.0 137.0 3.0 2016-02-14 00:47:32 2021-02-08 21:35:40 ScottfreeLLC/AlphaPy active 4.0 39:24.6
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 2021-06-19 18:56:11 976.0 365.0 2.0 2017-02-12 04:50:44 2021-02-04 03:48:33 robertmartin8/MachineLearningStocks active 3.0
mosquito https://github.com/miro-ka/mosquito base framework trading bot for crypto. Stores data in local mongodb instance and supports backtest and live trading on [poloniex](https://poloniex.com/) and [bittrex](https://bittrex.com/) which are 12-15th ranked crypto exchanges by volume. Leverage [talib](https://github.com/mrjbq7/ta-lib) for ta data and [plotly](https://github.com/plotly/plotly.py) for visualization Other Models 2021-06-16 04:31:41 241.0 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
Microservices-Based-Algorithmic-Trading-System https://github.com/saeed349/Microservices-Based-Algorithmic-Trading-System docker based platfrom for developing algo trading strategies. Very interesting combinations of open source components were used including [backtrader](https://www.backtrader.com/) for backtest strategies / [mlflow](https://mlflow.org/) for managing the machine learning model life cycle (i.e. training and developing machine learning models) / [airflow](https://airflow.apache.org/) used as workflow management including schedule data download etc. / [superset](https://superset.apache.org/) web data visualization tool similar to tableau / [minio](https://min.io/) for fast object storage (i.e. storing saved models and model artifacts) / postgresql used to store security master and daily and minute data. Also contains some details on deployment on cloud Other Models 2021-06-19 22:55:35 139.0 68.0 1.0 2020-01-06 00:21:58 2021-05-29 18:07:29 saeed349/Microservices-Based-Algorithmic-Trading-System active 5.0 39:24.6
Trend Following http://inseaddataanalytics.github.io/INSEADAnalytics/ExerciseSet2.html A futures trend following portfolio investment strategy. Other Models
ML_Finance_Codes https://github.com/mfrdixon/ML_Finance_Codes accompanying materials for book [Machine Learning in Finance](https://www.springer.com/gp/book/9783030410674) covering probabilistic modeling/sequence modeling/neural networks/reinforcement learning etc. Other Models 2021-06-17 03:21:02 284.0 125.0 3.0 2019-09-27 16:13:50 2020-06-13 21:20:26 mfrdixon/ML_Finance_Codes active 3.0 39:24.6
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 2021-06-18 22:15:59 428.0 134.0 1.0 2018-07-22 08:14:46 2021-06-04 15:59:04 Hvass-Labs/FinanceOps active 3.0
fin-ml https://github.com/tatsath/fin-ml accompanying materials for book [Machine Learning and Data Science Blueprints for Finance](https://www.amazon.com/Machine-Learning-Science-Blueprints-Finance/dp/1492073059) on top of basic machine learning models i.e. nlp/reinforcement learning/supervised & unsupervised learning it covers wider topics including robo-advisors/fraud detection/loan default/derivative pricing/yield curve construction. Other Models 2021-06-17 03:18:48 143.0 92.0 2.0 2020-05-10 00:25:56 2021-01-23 17:15:07 tatsath/fin-ml active 4.0 39:24.6
331 Stanford-Project-Predicting-stock-prices-using-a-LSTM-Network https://github.com/dduemig/Stanford-Project-Predicting-stock-prices-using-a-LSTM-Network NEW Other Models 2021-06-18 22:30:49 101.0 29.0 1.0 2019-02-19 17:40:43 2020-02-24 14:46:43 dduemig/Stanford-Project-Predicting-stock-prices-using-a-LSTM-Network active 2021-06-17 01:51:12.428196
332 Machine-Learning-for-Algorithmic-Trading-Bots-with-Python https://github.com/PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Bots-with-Python code repo for [machine learning for algorithmic trading bots](https://www.packtpub.com/application-development/machine-learning-algorithmic-trading-bots-python-video) video series. Contains notebooks and deep dive using [zipline](https://github.com/quantopian/zipline) Other Models 2021-06-19 20:53:00 189.0 104.0 5.0 2018-12-06 11:35:08 2021-01-18 06:40:53 PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Bots-with-Python active 3.0 39:24.6
333 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 2021-06-19 14:49:40 1236.0 235.0 6.0 2020-08-30 07:56:22 2020-09-21 04:32:05 tradytics/surpriver active 3.0 39:24.6
334 CryptoBot https://github.com/AdeelMufti/CryptoBot Hard fork of [bitpredit](https://github.com/cbyn/bitpredict) and form the trading strategy as a classification problem with -1 (sell) 0 (hold) 1 (buy). Models used are XGBClassifier/RandomForest/GradientBoosting. Not mentained Other Models 2021-06-19 15:28:43 248.0 97.0 1.0 2017-01-17 12:44:52 2017-01-17 12:48:17 AdeelMufti/CryptoBot inactive 2.0 39:24.6
335 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 2021-06-14 12:07:08 638.0 416.0 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
336 awesome-ai-in-finance https://github.com/georgezouq/awesome-ai-in-finance curated list of books/online courses/papers on AI and finance. Topics include crypto trading strategies/ta/backter etc. Other Models 2021-06-19 15:18:00 1023.0 178.0 8.0 2018-08-29 02:07:02 2021-04-25 00:19:57 georgezouq/awesome-ai-in-finance active 3.0 39:24.6
Awesome-Quant-Machine-Learning-Trading https://github.com/grananqvist/Awesome-Quant-Machine-Learning-Trading curated list of books/online courses/youtube videos/blogs/interviews/papers/code etc. Updates are pretty infrequent Other Models 2021-06-19 20:23:15 1092.0 340.0 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
337 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 2021-06-19 16:26:33 329.0 153.0 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
338 fin-ml https://github.com/tatsath/fin-ml accompanying materials for book [Machine Learning and Data Science Blueprints for Finance](https://www.amazon.com/Machine-Learning-Science-Blueprints-Finance/dp/1492073059) on top of basic machine learning models i.e. nlp/reinforcement learning/supervised & unsupervised learning it covers wider topics including robo-advisors/fraud detection/loan default/derivative pricing/yield curve construction. Other Models 2021-06-17 03:18:48 143.0 92.0 2.0 2020-05-10 00:25:56 2021-01-23 17:15:07 tatsath/fin-ml active 4.0 39:24.6
339 Mixture Models II https://github.com/BlackArbsCEO/mixture_model_trading_public Mixture models and stock trading. Other Models 2021-05-02 00:39:22 169.0 74.0 1.0 2017-12-11 17:05:38 2020-05-13 23:50:47 BlackArbsCEO/mixture_model_trading_public active 3.0
340 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 2021-06-17 15:58:42 270.0 103.0 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
341 Mixture Models I https://github.com/BlackArbsCEO/Mixture_Models Mixture models to predict market bottoms and regime changes based on a seminar given to quantinsti in 2017 and summary and video is [here](https://blog.quantinsti.com/webinar-can-we-use-mixture-models-to-predict-market-bottoms/). Gaussian mixture models are build on markov models and expectation maximization thoery to detect regimes and seminar reported positive results using features asset returns/tedrate/10y2ysptread/10y3m spread from fred which can be access here [fredapi](https://github.com/mortada/fredapi). Though most of the returns came from being long equities after 2009 Other Models 2021-05-16 20:01:22 32.0 32.0 1.0 2017-03-20 18:54:24 2017-04-25 23:35:20 BlackArbsCEO/Mixture_Models inactive 2.0
342 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 2021-06-16 10:29:30 466.0 57.0 1.0 2016-03-11 19:13:00 2020-12-21 03:54:51 melling/MathAndScienceNotes active 3.0 39:24.6
343 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 2021-06-19 20:23:15 1092.0 340.0 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
344 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 2021-06-18 22:15:59 428.0 134.0 1.0 2018-07-22 08:14:46 2021-06-04 15:59:04 Hvass-Labs/FinanceOps active 3.0
345 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 2021-06-19 18:56:11 976.0 365.0 2.0 2017-02-12 04:50:44 2021-02-04 03:48:33 robertmartin8/MachineLearningStocks active 3.0
346 Trend Following http://inseaddataanalytics.github.io/INSEADAnalytics/ExerciseSet2.html A futures trend following portfolio investment strategy. Other Models
347 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 2021-06-18 07:26:07 293.0 126.0 1.0 2018-06-29 21:21:17 2021-06-07 19:28:50 jjakimoto/finance_ml active 1.0 39:24.6
348 ML_Finance_Codes https://github.com/mfrdixon/ML_Finance_Codes accompanying materials for book [Machine Learning in Finance](https://www.springer.com/gp/book/9783030410674) covering probabilistic modeling/sequence modeling/neural networks/reinforcement learning etc. Other Models 2021-06-17 03:21:02 284.0 125.0 3.0 2019-09-27 16:13:50 2020-06-13 21:20:26 mfrdixon/ML_Finance_Codes active 3.0 39:24.6
349 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 2021-06-20 00:43:13 230.0 77.0 9.0 2019-12-29 05:18:07 2021-06-19 20:33:03 DaveSkender/Stock.Indicators active 3.0 39:24.6
350 stock-trading-ml https://github.com/yacoubb/stock-trading-ml lstm model using keras to predict msft prices. Data is from [alphavantage](https://www.alphavantage.co/) which provides some free data through web services. Showing how to use concatenation layer to join timeseries data with TA data. Might be abit of overfitting on the model though Other Models 2021-06-17 21:04:49 369.0 205.0 1.0 2019-10-10 09:44:02 2019-10-12 11:38:49 yacoubb/stock-trading-ml active 3.0 39:24.6
351 Short-Term Movement Cues https://github.com/anfederico/Clairvoyant Identify social/historical cues for short term stock movement. Sklearn SVM model is used and good visualization coded in matplotlib Other Models 2021-06-19 22:07:36 2193.0 702.0 1.0 2016-09-12 18:38:17 2018-08-29 20:27:19 anfederico/clairvoyant inactive 3.0
352 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 2021-06-18 08:54:36 2426.0 746.0 3.0 2019-02-13 16:57:25 2021-06-15 13:59:54 hudson-and-thames/mlfinlab active 3.0 39:24.6
353 Machine-Learning-For-Finance https://github.com/anthonyng2/Machine-Learning-For-Finance accompanying materials for slide [here](https://github.com/anthonyng2/Machine-Learning-For-Finance/blob/master/Regression%20Based%20Machine%20Learning%20for%20Algorithmic%20Trading/Machine%20Learning%20-%20Linear%20Regression%20for%20Algo%20Trading%20v2017-07-13.pdf) covering more tradition quant trading topics like pair trading/kalman filter/trend following etc. Referecing interesting paper [characterization of financial time series](http://www.cs.ucl.ac.uk/fileadmin/UCL-CS/research/Research_Notes/RN_11_01.pdf) Other Models 2021-06-04 14:27:22 205.0 121.0 1.0 2017-07-11 09:09:15 2018-02-21 05:36:35 anthonyng2/Machine-Learning-For-Finance inactive 2.0 39:24.6
354 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 2021-05-13 10:31:49 177.0 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
355 Machine-Learning-for-Finance https://github.com/PacktPublishing/Machine-Learning-for-Finance repo for book [machine learning for finance](https://www.packtpub.com/product/machine-learning-for-finance/9781789136364) with heavier focus on machine learning and less on finance. Topics covered including computer vision/time series/nlp/generative models (i.e. autoencoder)/reinforcement learning/debugging ml systems Other Models 2021-06-14 12:07:26 192.0 130.0 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
356 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 2021-06-17 15:59:19 105.0 31.0 2.0 2017-09-03 17:43:03 2018-09-12 18:58:38 amicks/Speculator inactive 3.0 39:24.6
357 AlphaPy https://github.com/ScottfreeLLC/AlphaPy machine learning framework built on sklearn and pandas. Support pyfolio/xgboost/lightgmb/catboost(gradient boosting on decision tress) etc. Examples include financial market prediction/sports prediction/kaggle. Configurations are set though yaml file for all model process including feature selection/grid search on parameters and aggregate results for each model Other Models 2021-06-16 16:07:53 610.0 137.0 3.0 2016-02-14 00:47:32 2021-02-08 21:35:40 ScottfreeLLC/AlphaPy active 4.0 39:24.6
358 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 2021-06-16 04:31:41 241.0 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
359 Microservices-Based-Algorithmic-Trading-System https://github.com/saeed349/Microservices-Based-Algorithmic-Trading-System docker based platfrom for developing algo trading strategies. Very interesting combinations of open source components were used including [backtrader](https://www.backtrader.com/) for backtest strategies / [mlflow](https://mlflow.org/) for managing the machine learning model life cycle (i.e. training and developing machine learning models) / [airflow](https://airflow.apache.org/) used as workflow management including schedule data download etc. / [superset](https://superset.apache.org/) web data visualization tool similar to tableau / [minio](https://min.io/) for fast object storage (i.e. storing saved models and model artifacts) / postgresql used to store security master and daily and minute data. Also contains some details on deployment on cloud Other Models 2021-06-19 22:55:35 139.0 68.0 1.0 2020-01-06 00:21:58 2021-05-29 18:07:29 saeed349/Microservices-Based-Algorithmic-Trading-System active 5.0 39:24.6
360 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 2021-06-19 05:36:13 1171.0 103.0 8.0 2018-08-20 03:13:31 2019-05-23 14:40:50 kkyon/botflow inactive 2.0 39:24.6
361 Machine Learning in Asset Management https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3420952 Personal Papers
362 Machine Learning in Asset Management—Part 2: Portfolio Construction—Weight Optimization https://jfds.pm-research.com/content/2/2/17 Personal Papers
363 Financial Event Prediction using Machine Learning https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3481555 Personal Papers
364 Machine Learning in Asset Management—Part 1: Portfolio Construction—Trading Strategies https://jfds.pm-research.com/content/2/1/10 Personal Papers
365 node-finance Modern Portfolio Theory https://github.com/albertosantini/node-finance https://nbviewer.jupyter.org/github/Marigold/universal-portfolios/blob/master/modern-portfolio-theory.ipynb NEW Universal portfolios; modern portfolio theory. Portfolio Selection and Optimisation 2021-05-27 04:16:16 105.0 26.0 3.0 2011-09-17 17:49:56 2021-04-05 08:01:12 albertosantini/node-finance active 37:19.5
366 Riskfolio-Lib Efficient Frontier https://github.com/dcajasn/Riskfolio-Lib https://github.com/tthustla/efficient_frontier/blob/master/Efficient%20_Frontier_implementation.ipynb NEW Modern Portfolio Theory. Portfolio Selection and Optimisation 2021-06-17 06:33:49 2021-06-04 21:11:53 491.0 108.0 77.0 60.0 1.0 2020-03-02 19:49:06 2018-02-17 08:19:46 2021-06-13 07:23:13 2018-02-27 13:16:57 dcajasn/Riskfolio-Lib tthustla/efficient_frontier active inactive 37:19.5
367 401K Portfolio Optimisation Deep Portfolio Theory https://github.com/otosman/Python-for-Finance/blob/master/Portfolio%20Optimization%20401k.ipynb https://github.com/tcloaa/Deep-Portfolio-Theory Portfolio analyses and optimisation for 401K. Autoencoder framework for portfolio selection. Portfolio Selection and Optimisation 2020-12-25 09:39:33 2021-06-05 05:01:47 14.0 107.0 5.0 60.0 1.0 2018-08-01 19:48:24 2017-02-10 09:03:08 2019-09-05 11:18:56 2018-03-08 16:47:00 otosman/Python-for-Finance tcloaa/Deep-Portfolio-Theory active inactive
368 Distribution Characteristic Optimisation DeepDow https://github.com/VivekPa/OptimalPortfolio https://github.com/jankrepl/deepdow Extends classical portfolio optimisation to take the skewness and kurtosis of the distribution of market invariants into account. Portfolio optimization with deep learning. Portfolio Selection and Optimisation 2021-06-13 20:21:11 2021-06-17 08:23:50 244.0 352.0 83.0 65.0 3.0 2.0 2018-11-16 12:20:25 2020-02-02 08:46:33 2019-07-04 01:41:46 2021-02-16 18:50:53 VivekPa/OptimalPortfolio jankrepl/deepdow active
369 riskparity.py Online Portfolio Selection https://github.com/dppalomar/riskparity.py https://nbviewer.jupyter.org/github/paulperry/quant/blob/master/OLPS_Comparison.ipynb NEW ****Comparing OLPS algorithms on a diversified set of ETFs. Portfolio Selection and Optimisation 2021-06-15 10:46:43 154.0 36.0 2.0 2019-07-13 21:30:55 2021-06-10 12:25:08 dppalomar/riskparity.py active 37:19.5
370 PyPortfolioOpt https://github.com/robertmartin8/PyPortfolioOpt Financial portfolio optimisation, including classical efficient frontier and advanced methods. Portfolio Selection and Optimisation 2021-06-19 21:19:55 2092.0 522.0 18.0 2018-05-29 13:30:30 2021-06-17 10:18:37 robertmartin8/PyPortfolioOpt active
371 Policy Gradient Portfolio https://github.com/ZhengyaoJiang/PGPortfolio A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem. Portfolio Selection and Optimisation 2021-06-19 16:38:54 1320.0 640.0 6.0 2017-11-12 16:08:44 2019-05-09 09:50:18 ZhengyaoJiang/PGPortfolio inactive
372 OLMAR Algorithm https://github.com/charlessutton/OLMAR/blob/master/Part3.ipynb Relative importance of each component of the OLMAR algorithm. Portfolio Selection and Optimisation 2021-06-17 19:20:53 8.0 4.0 1.0 2016-07-26 16:20:10 2016-12-30 11:40:53 charlessutton/OLMAR inactive
373 Reinforcement Learning https://github.com/filangel/qtrader Reinforcement Learning for Portfolio Management. Portfolio Selection and Optimisation 2021-06-15 08:26:52 366.0 152.0 1.0 2017-10-07 09:14:33 2018-06-26 09:22:27 filangelos/qtrader inactive
374 PyPortfolioOpt node-finance https://github.com/robertmartin8/PyPortfolioOpt https://github.com/albertosantini/node-finance Financial portfolio optimisation, including classical efficient frontier and advanced methods. NEW Portfolio Selection and Optimisation 2021-06-19 21:19:55 2021-05-27 04:16:16 2092.0 105.0 522.0 26.0 18.0 3.0 2018-05-29 13:30:30 2011-09-17 17:49:56 2021-06-17 10:18:37 2021-04-05 08:01:12 robertmartin8/PyPortfolioOpt albertosantini/node-finance active 37:19.5
375 Modern Portfolio Theory 401K Portfolio Optimisation https://nbviewer.jupyter.org/github/Marigold/universal-portfolios/blob/master/modern-portfolio-theory.ipynb https://github.com/otosman/Python-for-Finance/blob/master/Portfolio%20Optimization%20401k.ipynb Universal portfolios; modern portfolio theory. 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
376 Online Portfolio Selection Distribution Characteristic Optimisation https://nbviewer.jupyter.org/github/paulperry/quant/blob/master/OLPS_Comparison.ipynb https://github.com/VivekPa/OptimalPortfolio ****Comparing OLPS algorithms on a diversified set of ETFs. Extends classical portfolio optimisation to take the skewness and kurtosis of the distribution of market invariants into account. Portfolio Selection and Optimisation 2021-06-13 20:21:11 244.0 83.0 3.0 2018-11-16 12:20:25 2019-07-04 01:41:46 VivekPa/OptimalPortfolio active
377 DeepDow Riskfolio-Lib https://github.com/jankrepl/deepdow https://github.com/dcajasn/Riskfolio-Lib Portfolio optimization with deep learning. NEW Portfolio Selection and Optimisation 2021-06-17 08:23:50 2021-06-17 06:33:49 352.0 491.0 65.0 77.0 2.0 1.0 2020-02-02 08:46:33 2020-03-02 19:49:06 2021-02-16 18:50:53 2021-06-13 07:23:13 jankrepl/deepdow dcajasn/Riskfolio-Lib active 37:19.5
378 Policy Gradient Portfolio riskparity.py https://github.com/ZhengyaoJiang/PGPortfolio https://github.com/dppalomar/riskparity.py A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem. NEW Portfolio Selection and Optimisation 2021-06-19 16:38:54 2021-06-15 10:46:43 1320.0 154.0 640.0 36.0 6.0 2.0 2017-11-12 16:08:44 2019-07-13 21:30:55 2019-05-09 09:50:18 2021-06-10 12:25:08 ZhengyaoJiang/PGPortfolio dppalomar/riskparity.py inactive active 37:19.5
379 Deep Portfolio Theory NLP Event https://github.com/tcloaa/Deep-Portfolio-Theory https://github.com/yuriak/DLQuant Autoencoder framework for portfolio selection. Applying Deep Learning and NLP in Quantitative Trading. Portfolio Selection and Optimisation Textual 2021-06-05 05:01:47 2021-06-11 05:42:05 107.0 72.0 60.0 32.0 1.0 2017-02-10 09:03:08 2018-07-02 23:50:52 2018-03-08 16:47:00 2019-01-31 14:08:20 tcloaa/Deep-Portfolio-Theory yuriak/DLQuant inactive
380 Efficient Frontier Financial Sentiment Analysis https://github.com/tthustla/efficient_frontier/blob/master/Efficient%20_Frontier_implementation.ipynb https://github.com/EricHe98/Financial-Statements-Text-Analysis Modern Portfolio Theory. Sentiment, distance and proportion analysis for trading signals. Portfolio Selection and Optimisation Textual 2021-06-04 21:11:53 2021-04-30 10:07:46 108.0 50.0 60.0 27.0 1.0 2018-02-17 08:19:46 2017-06-23 00:05:49 2018-02-27 13:16:57 2019-01-26 03:35:55 tthustla/efficient_frontier EricHe98/Financial-Statements-Text-Analysis inactive
381 Extensive NLP news-emotion https://github.com/TiesdeKok/Python_NLP_Tutorial/blob/master/NLP_Notebook.ipynb https://github.com/dongyuanxin/news-emotion Comprehensive NLP techniques for accounting research. NEW Textual 2021-06-17 13:23:01 2021-06-11 05:28:03 80.0 250.0 45.0 121.0 1.0 2017-10-25 07:10:26 2017-09-14 02:59:03 2020-06-05 03:28:46 2018-06-11 13:47:51 TiesdeKok/Python_NLP_Tutorial dongyuanxin/news-emotion active inactive 24:28.5
382 Financial Statement Sentiment FinNLP-Progress https://github.com/MAydogdu/TextualAnalysis https://github.com/YangLinyi/FinNLP-Progress Extracting sentiment from financial statements using neural networks. NEW Textual 2021-05-07 20:35:27 2021-06-15 05:55:25 11.0 176.0 7.0 22.0 1.0 5.0 2018-06-04 20:54:14 2020-05-21 09:59:56 2018-06-04 20:56:02 2021-06-04 08:29:05 MAydogdu/TextualAnalysis YangLinyi/FinNLP-Progress inactive active 24:28.5
383 FinBERT Accounting Anomalies https://github.com/psnonis/FinBERT https://github.com/GitiHubi/deepAI/blob/master/GTC_2018_Lab-solutions.ipynb NEW Using deep-learning frameworks to identify accounting anomalies. Textual 2021-06-11 18:36:39 2021-06-09 09:10:02 144.0 116.0 47.0 51.0 3.0 2.0 2019-07-09 16:34:27 2017-05-24 12:36:38 2020-05-19 02:02:20 2019-08-07 21:47:08 psnonis/FinBERT GitiHubi/deepAI active 24:28.5
384 awesome-financial-nlp Earning call transcripts https://github.com/icoxfog417/awesome-financial-nlp https://github.com/lin882/WebAnalyticsProject NEW Correlation between mutual fund investment decision and earning call transcripts. Textual 2021-06-19 10:38:28 2020-12-17 08:24:20 240.0 3.0 39.0 3.0 2.0 1.0 2019-10-03 03:53:20 2017-12-30 08:56:03 2020-02-01 08:28:16 2018-01-11 02:11:11 icoxfog417/awesome-financial-nlp lin882/WebAnalyticsProject active inactive 24:28.5
385 financial-news-dataset BDCI2019-Negative_Finance_Info_Judge https://github.com/philipperemy/financial-news-dataset https://github.com/A-Rain/BDCI2019-Negative_Finance_Info_Judge NEW Textual 2021-06-14 04:24:35 2021-06-07 06:46:18 157.0 109.0 77.0 24.0 1.0 3.0 2016-08-23 13:29:07 2019-12-27 03:49:31 2021-03-04 06:34:24 2020-12-04 03:38:57 philipperemy/financial-news-dataset A-Rain/BDCI2019-Negative_Finance_Info_Judge active 24:28.5
386 NLP https://github.com/toamitesh/NLPinFinance This project assembles a lot of NLP operations needed for finance domain. Textual toamitesh/NLPinFinance
387 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
388 Earning call transcripts Extensive NLP https://github.com/lin882/WebAnalyticsProject https://github.com/TiesdeKok/Python_NLP_Tutorial/blob/master/NLP_Notebook.ipynb Correlation between mutual fund investment decision and earning call transcripts. Comprehensive NLP techniques for accounting research. Textual 2020-12-17 08:24:20 2021-06-17 13:23:01 3.0 80.0 3.0 45.0 1.0 2017-12-30 08:56:03 2017-10-25 07:10:26 2018-01-11 02:11:11 2020-06-05 03:28:46 lin882/WebAnalyticsProject TiesdeKok/Python_NLP_Tutorial inactive active
389 Accounting Anomalies Financial Statement Sentiment https://github.com/GitiHubi/deepAI/blob/master/GTC_2018_Lab-solutions.ipynb https://github.com/MAydogdu/TextualAnalysis Using deep-learning frameworks to identify accounting anomalies. Extracting sentiment from financial statements using neural networks. Textual 2021-06-09 09:10:02 2021-05-07 20:35:27 116.0 11.0 51.0 7.0 2.0 1.0 2017-05-24 12:36:38 2018-06-04 20:54:14 2019-08-07 21:47:08 2018-06-04 20:56:02 GitiHubi/deepAI MAydogdu/TextualAnalysis active inactive
FinNLP-Progress https://github.com/YangLinyi/FinNLP-Progress NEW Textual 2021-06-15 05:55:25 176.0 22.0 5.0 2020-05-21 09:59:56 2021-06-04 08:29:05 YangLinyi/FinNLP-Progress active 24:28.5
390 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
391 news-emotion awesome-financial-nlp https://github.com/dongyuanxin/news-emotion https://github.com/icoxfog417/awesome-financial-nlp NEW Textual 2021-06-11 05:28:03 2021-06-19 10:38:28 250.0 240.0 121.0 39.0 1.0 2.0 2017-09-14 02:59:03 2019-10-03 03:53:20 2018-06-11 13:47:51 2020-02-01 08:28:16 dongyuanxin/news-emotion icoxfog417/awesome-financial-nlp inactive active 24:28.5
392 BDCI2019-Negative_Finance_Info_Judge financial-news-dataset https://github.com/A-Rain/BDCI2019-Negative_Finance_Info_Judge https://github.com/philipperemy/financial-news-dataset NEW Textual 2021-06-07 06:46:18 2021-06-14 04:24:35 109.0 157.0 24.0 77.0 3.0 1.0 2019-12-27 03:49:31 2016-08-23 13:29:07 2020-12-04 03:38:57 2021-03-04 06:34:24 A-Rain/BDCI2019-Negative_Finance_Info_Judge philipperemy/financial-news-dataset active 24:28.5
393 Financial Sentiment Analysis FinBERT https://github.com/EricHe98/Financial-Statements-Text-Analysis https://github.com/psnonis/FinBERT Sentiment, distance and proportion analysis for trading signals. NEW Textual 2021-04-30 10:07:46 2021-06-11 18:36:39 50.0 144.0 27.0 47.0 1.0 3.0 2017-06-23 00:05:49 2019-07-09 16:34:27 2019-01-26 03:35:55 2020-05-19 02:02:20 EricHe98/Financial-Statements-Text-Analysis psnonis/FinBERT inactive active 24:28.5
394 NLP Event PCA Pairs Trading https://github.com/yuriak/DLQuant https://github.com/joelQF/quant-finance/tree/master/Artificial_IntelIigence_for_Trading Applying Deep Learning and NLP in Quantitative Trading. PCA, Factor Returns, and trading strategies. Textual Unsupervised 2021-06-11 05:42:05 72.0 32.0 1.0 2018-07-02 23:50:52 2019-01-31 14:08:20 yuriak/DLQuant joelQF/quant-finance inactive
395 Eigen-Portfolio https://github.com/Gustrigos/Eigen-Portfolio NEW Unsupervised 2021-05-30 13:10:42 38.0 11.0 1.0 2018-09-05 05:29:18 2020-04-09 21:40:04 Gustrigos/Eigen-Portfolio active 24:29.9
396 Industry Clustering https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries Clustering of industries. Unsupervised 2020-10-06 18:51:22 4.0 6.0 1.0 2017-07-21 02:12:51 2017-07-23 02:53:37 SeanMcOwen/FinanceAndPython.com-ClusteringIndustries inactive
Stock_Support_Resistance_ML https://github.com/judopro/Stock_Support_Resistance_ML NEW Unsupervised 2021-06-14 04:42:09 20.0 16.0 1.0 2019-12-22 20:25:48 2021-05-02 04:25:21 judopro/Stock_Support_Resistance_ML active 2021-05-07 01:53:28.160570
397 all-classification-templetes-for-ML https://github.com/sayantann11/all-classification-templetes-for-ML NEW Unsupervised 2021-06-09 14:53:38 31.0 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
398 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 6.0 1.0 2017-07-21 02:12:51 2017-07-23 02:53:37 SeanMcOwen/FinanceAndPython.com-ClusteringIndustries inactive
399 hmm_market_behavior https://github.com/lamres/hmm_market_behavior NEW Unsupervised 2021-02-20 07:43:59 25.0 18.0 1.0 2019-09-08 17:37:39 2020-05-10 14:36:03 lamres/hmm_market_behavior active 24:29.9
402 Credit-Card-Fraud-Detection https://github.com/sharmaroshan/Credit-Card-Fraud-Detection NEW Unsupervised 2020-12-28 10:41:20 10.0 5.0 1.0 2019-03-31 05:33:17 2019-03-31 05:38:43 sharmaroshan/Credit-Card-Fraud-Detection inactive 24:29.9
403 VRA Stock Embedding https://github.com/ml-hongkong/stock2vec Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history. Unsupervised 2021-06-15 10:58:58 32.0 11.0 1.0 2017-06-21 04:47:14 2017-06-21 04:51:13 ml-hongkong/stock2vec inactive
404 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
405 PCA Pairs Trading Stock_Support_Resistance_ML https://github.com/joelQF/quant-finance/tree/master/Artificial_IntelIigence_for_Trading https://github.com/judopro/Stock_Support_Resistance_ML PCA, Factor Returns, and trading strategies. NEW Unsupervised 2021-06-14 04:42:09 20.0 16.0 1.0 2019-12-22 20:25:48 2021-05-02 04:25:21 joelQF/quant-finance judopro/Stock_Support_Resistance_ML active 2021-05-07 01:53:28.160570