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@@ -12,111 +12,137 @@ VC OLS,https://github.com/fionawhitefield/venture-capital-ols/blob/master/sec_pr
Blockchain,https://github.com/nud3l/dInvest,Repository for distributed autonomous investment banking.,Alternative Finance,2021-02-06 07:38:28,12.0,7.0,2.0,2016-09-05 19:12:40,2017-04-24 10:48:56,nud3l/dInvest,inactive,,
Private Equity,https://github.com/TheVinhLuong102/ChicagoBooth-EntrepreneurialFinancePrivateEquity/blob/master/RightNow%20Technologies/RightNow%20Technologies.ipynb,Valuation models.,Alternative Finance,2020-11-26 03:34:45,8.0,6.0,2.0,2016-01-27 21:13:33,2016-03-14 20:03:52,TheVinhLuong102/ChicagoBooth-EntrepreneurialFinancePrivateEquity,inactive,,
pitch-deck,https://github.com/joelparkerhenderson/pitch-deck,NEW,Alternative Finance,2021-07-08 03:30:12,167.0,43.0,2.0,2016-09-17 01:30:26,2021-05-19 19:49:27,joelparkerhenderson/pitch-deck,active,,2021-05-24 02:12:13.615391
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,,,,,,,,,,
NYU FRE,https://engineering.nyu.edu/academics/departments/finance-and-risk-engineering,Finance and Risk Engineering (NYU Tandon),Colleges Centers and Departments,,,,,,,,,,
Cornell University,https://www.cornell.edu/,,Colleges Centers and Departments,,,,,,,,,,
Stanford Advanced Financial Technologies,https://fintech.stanford.edu/,Stanford Advanced Financial Technologies Laboratory,Colleges Centers and Departments,,,,,,,,,,
NYU FRE,https://engineering.nyu.edu/academics/departments/finance-and-risk-engineering,Finance and Risk Engineering (NYU Tandon),Colleges Centers and Departments,,,,,,,,,,
Online-Courses-Learning,https://github.com/MrinmoiHossain/Online-Courses-Learning,NEW,Courses,2021-07-09 04:16:45,204.0,396.0,1.0,2018-08-12 18:52:29,2019-07-14 21:07:56,MrinmoiHossain/Online-Courses-Learning,active,,2021-06-21 01:58:47.497649
stat479-machine-learning-fs18,https://github.com/rasbt/stat479-machine-learning-fs18,NEW,Courses,2021-06-30 15:23:44,425.0,209.0,1.0,2018-09-06 00:30:56,2018-12-20 23:45:13,rasbt/stat479-machine-learning-fs18,inactive,,2021-04-19 01:25:20.750834
Introduction-to-Machine-Learning,https://github.com/codeheroku/Introduction-to-Machine-Learning,NEW,Courses,2021-07-10 13:44:43,300.0,784.0,3.0,2019-02-09 12:07:52,2020-11-28 08:44:08,codeheroku/Introduction-to-Machine-Learning,active,,2021-04-19 01:25:20.750834
stat479-machine-learning-fs19,https://github.com/rasbt/stat479-machine-learning-fs19,NEW,Courses,2021-07-04 13:45:49,652.0,225.0,1.0,2019-08-07 07:36:20,2020-11-28 00:04:07,rasbt/stat479-machine-learning-fs19,active,,2021-04-19 01:25:20.750834
mlcourse,https://github.com/davidrosenberg/mlcourse,NEW,Courses,2021-07-09 08:24:05,414.0,223.0,9.0,2015-10-11 22:18:25,2021-03-14 01:19:08,davidrosenberg/mlcourse,active,,2021-04-19 01:25:20.750834
ML-YouTube-Courses,https://github.com/dair-ai/ML-YouTube-Courses,NEW,Courses,2021-07-10 21:21:07,1187.0,90.0,1.0,2021-06-25 09:39:16,2021-07-07 11:22:01,dair-ai/ML-YouTube-Courses,active,,2021-06-28 01:48:33.633779
ml-mipt,https://github.com/girafe-ai/ml-mipt,NEW,Courses,2021-07-08 12:36:23,545.0,382.0,7.0,2019-02-01 16:20:39,2020-11-04 10:56:04,girafe-ai/ml-mipt,active,,2021-04-19 01:25:20.750834
JSE_OkCupid,https://github.com/rudeboybert/JSE_OkCupid,NEW,Courses,2021-06-27 19:11:17,211.0,62.0,1.0,2015-03-28 08:38:27,2021-04-26 18:35:26,rudeboybert/JSE_OkCupid,active,,2021-04-19 01:25:20.750834
Artificial-Intelligence-and-Machine-Learning,https://github.com/emilmont/Artificial-Intelligence-and-Machine-Learning,NEW,Courses,2021-07-03 03:47:50,516.0,302.0,1.0,2011-10-16 22:51:06,2013-07-20 18:21:51,emilmont/Artificial-Intelligence-and-Machine-Learning,inactive,,2021-04-19 01:25:20.750834
MTH594_MachineLearning,https://github.com/diefimov/MTH594_MachineLearning,NEW,Courses,2021-06-18 17:45:58,332.0,135.0,1.0,2016-03-09 07:35:19,2017-03-31 21:46:26,diefimov/MTH594_MachineLearning,inactive,,2021-04-19 01:25:20.750834
Machine-Learning-by-Andrew-Ng-in-Python,https://github.com/Benlau93/Machine-Learning-by-Andrew-Ng-in-Python,NEW,Courses,2021-07-07 08:57:54,248.0,205.0,1.0,2018-12-06 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,2021-07-10 06:05:25,375.0,329.0,1.0,2016-08-20 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,2021-06-28 12:21:18,246.0,90.0,4.0,2018-04-09 15:10:08,2019-07-30 14:25:27,datascienceid/machine-learning-resources,active,,2021-04-19 01:25:20.750834
ML_course,https://github.com/epfml/ML_course,NEW,Courses,2021-07-10 19:59:08,660.0,520.0,1.0,2016-07-13 15:37:38,2021-06-08 13:49:10,epfml/ML_course,active,,2021-04-19 01:25:20.750834
Stanford-Machine-Learning-Course,https://github.com/zhouxc/Stanford-Machine-Learning-Course,NEW,Courses,2021-06-29 08:12:17,513.0,365.0,1.0,2011-12-25 10:00:48,2011-12-25 10:01:12,zhouxc/Stanford-Machine-Learning-Course,inactive,,2021-04-19 01:25:20.750834
machine-learning-notebooks,https://github.com/krasserm/machine-learning-notebooks,NEW,Courses,2021-06-11 17:03:50,299.0,126.0,1.0,2017-07-24 10:21:05,2020-09-07 12:48:43,krasserm/machine-learning-notebooks,active,,2021-04-19 01:25:20.750834
ml-course-msu,https://github.com/esokolov/ml-course-msu,NEW,Courses,2021-07-07 11:34:25,770.0,303.0,1.0,2015-09-11 08:51:24,2018-05-07 15:40:56,esokolov/ml-course-msu,inactive,,2021-04-19 01:25:20.750834
DP100,https://github.com/MicrosoftLearning/DP100,NEW,Courses,2021-07-05 21:51:55,505.0,523.0,2.0,2020-01-06 20:38:41,2020-12-30 17:22:42,MicrosoftLearning/DP100,active,,2021-04-19 01:25:20.750834
machine-learning-course,https://github.com/instillai/machine-learning-course,NEW,Courses,2021-07-09 06:57:20,6688.0,1224.0,9.0,2019-02-15 00:23:19,2020-04-21 03:19:12,instillai/machine-learning-course,active,,2021-04-19 01:25:20.750834
machine-learning-coursera,https://github.com/yhyap/machine-learning-coursera,NEW,Courses,2021-06-30 14:10:34,231.0,196.0,1.0,2013-05-03 09:41:53,2013-05-05 11:58:38,yhyap/machine-learning-coursera,inactive,,2021-04-19 01:25:20.750834
master,https://github.com/ML-course/master,NEW,Courses,2021-07-05 03:20:15,342.0,174.0,11.0,2017-02-04 22:44:35,2021-04-23 22:36:34,ML-course/master,active,,2021-04-19 01:25:20.750834
Udemy---Machine-Learning,https://github.com/jmportilla/Udemy---Machine-Learning,NEW,Courses,2021-06-15 09:17:29,208.0,408.0,3.0,2015-04-27 22:44:40,2016-07-06 23:58:33,jmportilla/Udemy---Machine-Learning,inactive,,2021-04-19 01:25:20.750834
tensorflow-without-a-phd,https://github.com/GoogleCloudPlatform/tensorflow-without-a-phd,NEW,Courses,2021-07-07 10:55:45,2418.0,845.0,11.0,2018-05-09 18:33:40,2020-06-03 21:08:32,GoogleCloudPlatform/tensorflow-without-a-phd,active,,2021-04-19 01:25:20.750834
machine-learning-online-2018,https://github.com/coding-blocks-archives/machine-learning-online-2018,NEW,Courses,2021-07-02 12:31:34,262.0,526.0,3.0,2018-07-18 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,2021-07-09 01:02:37,318.0,2979.0,2.0,2019-01-09 20:30:46,2021-06-20 20:37:28,trainindata/deploying-machine-learning-models,active,,2021-04-19 01:25:20.750834
dive-into-machine-learning,https://github.com/hangtwenty/dive-into-machine-learning,NEW,Courses,2021-07-10 19:58:36,10614.0,1944.0,30.0,2015-02-22 23:48:16,2021-03-15 05:34:55,hangtwenty/dive-into-machine-learning,active,,2021-04-19 01:25:20.750834
MachineLearningWithPython,https://github.com/JerryKurata/MachineLearningWithPython,NEW,Courses,2021-07-09 13:52:18,235.0,349.0,1.0,2016-04-24 21:20:10,2021-04-15 18:17:30,JerryKurata/MachineLearningWithPython,active,,2021-04-19 01:25:20.750834
zero-to-mastery-ml,https://github.com/mrdbourke/zero-to-mastery-ml,NEW,Courses,2021-07-10 19:18:18,798.0,1365.0,15.0,2019-09-23 04:56:51,2021-06-09 00:10:06,mrdbourke/zero-to-mastery-ml,active,,2021-04-19 01:25:20.750834
machine-learning-coursera-1,https://github.com/Borye/machine-learning-coursera-1,NEW,Courses,2021-07-06 07:31:08,1111.0,938.0,1.0,2014-08-28 10:48:18,2014-06-17 10:37:27,Borye/machine-learning-coursera-1,inactive,,2021-04-19 01:25:20.750834
DAT4,https://github.com/justmarkham/DAT4,NEW,Courses,2021-07-06 06:23:31,757.0,655.0,3.0,2014-12-10 19:38:29,2021-02-15 23:26:27,justmarkham/DAT4,active,,2021-04-19 01:25:20.750834
2014,https://github.com/cs109/2014,NEW,Courses,2021-05-17 01:31:57,309.0,765.0,4.0,2014-07-21 22:46:20,2014-12-17 14:37:02,cs109/2014,inactive,,2021-04-19 01:25:20.750834
Coursera-Stanford-ML-Python,https://github.com/mstampfer/Coursera-Stanford-ML-Python,NEW,Courses,2021-06-25 04:39:23,408.0,233.0,3.0,2015-10-28 19:51:00,2016-09-02 00:21:30,mstampfer/Coursera-Stanford-ML-Python,inactive,,2021-04-19 01:25:20.750834
DAT3,https://github.com/justmarkham/DAT3,NEW,Courses,2021-07-08 08:35:52,627.0,372.0,4.0,2014-09-18 20:30:19,2020-05-19 09:21:02,justmarkham/DAT3,active,,2021-04-19 01:25:20.750834
ciml,https://github.com/hal3/ciml,NEW,Courses,2021-07-01 14:55:43,781.0,220.0,2.0,2015-08-12 19:26:00,2017-01-20 16:24:19,hal3/ciml,inactive,,2021-04-19 01:25:20.750834
DAT7,https://github.com/justmarkham/DAT7,NEW,Courses,2021-07-01 11:01:17,229.0,199.0,1.0,2015-05-16 02:29:54,2016-03-18 16:20:30,justmarkham/DAT7,inactive,,2021-04-19 01:25:20.750834
awesome-ml-courses,https://github.com/luspr/awesome-ml-courses,NEW,Courses,2021-07-09 07:51:10,2021.0,222.0,4.0,2020-05-08 20:41:59,2021-02-18 20:26:31,luspr/awesome-ml-courses,active,,2021-04-19 01:25:20.750834
mlcourse.ai,https://github.com/Yorko/mlcourse.ai,NEW,Courses,2021-07-10 16:42:21,7714.0,5074.0,191.0,2017-02-27 08:32:20,2021-06-21 15:23:28,Yorko/mlcourse.ai,active,,2021-04-19 01:25:20.750834
cornell-cs5785-applied-ml,https://github.com/kuleshov/cornell-cs5785-applied-ml,NEW,Courses,2021-07-09 17:03:39,209.0,71.0,1.0,2021-03-26 06:33:58,2021-03-26 07:52:04,kuleshov/cornell-cs5785-applied-ml,active,,2021-07-05 01:46:13.555262
ppd599,https://github.com/gboeing/ppd599,NEW,Courses,2021-07-01 08:05:28,1087.0,458.0,1.0,2015-09-01 19:59:59,2021-05-12 00:29:25,gboeing/ppd599,active,,2021-04-19 01:25:20.750834
DataScienceCourse,https://github.com/briandalessandro/DataScienceCourse,NEW,Courses,2021-07-10 15:27:22,604.0,743.0,13.0,2014-10-01 08:45:51,2020-12-20 13:03:56,briandalessandro/DataScienceCourse,active,,2021-04-19 01:25:20.750834
stanford-cs231,https://github.com/machinelearningnanodegree/stanford-cs231,NEW,Courses,2021-05-18 18:13:19,251.0,122.0,4.0,2016-09-05 01:40:41,2017-02-03 16:46:46,machinelearningnanodegree/stanford-cs231,inactive,,2021-04-19 01:25:20.750834
DAT8,https://github.com/justmarkham/DAT8,NEW,Courses,2021-07-09 06:00:57,1500.0,987.0,1.0,2015-08-07 03:35:51,2016-04-18 18:34:09,justmarkham/DAT8,inactive,,2021-04-19 01:25:20.750834
datascience-box,https://github.com/rstudio-education/datascience-box,NEW,Courses,2021-07-04 20:38:36,661.0,255.0,16.0,2017-12-29 22:16:17,2021-06-25 12:33:09,rstudio-education/datascience-box,active,,2021-04-19 01:25:20.750834
datasci_course_materials,https://github.com/uwescience/datasci_course_materials,NEW,Courses,2021-06-27 04:05:36,900.0,2441.0,6.0,2013-04-12 05:54:36,2017-03-21 19:21:02,uwescience/datasci_course_materials,inactive,,2021-04-19 01:25:20.750834
competitive-data-science,https://github.com/hse-aml/competitive-data-science,NEW,Courses,2021-06-27 13:51:17,568.0,592.0,9.0,2017-10-28 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,2021-07-07 10:48:20,1890.0,773.0,0.0,2015-12-08 00:03:22,2018-10-30 23:49:56,kaleko/CourseraML,inactive,,2021-04-19 01:25:20.750834
DataScience,https://github.com/JuliaAcademy/DataScience,NEW,Courses,2021-07-10 12:41:46,298.0,151.0,5.0,2020-05-21 01:26:52,2021-06-19 17:09:20,JuliaAcademy/DataScience,active,,2021-04-19 01:25:20.750834
ml-workspace,https://github.com/AdicherlaVenkataSai/ml-workspace,NEW,Courses,2021-07-10 15:04:14,270.0,83.0,1.0,2020-07-10 06:38:10,2020-09-23 18:16:09,AdicherlaVenkataSai/ml-workspace,active,,2021-04-19 01:25:20.750834
Developing_Data_Products,https://github.com/DataScienceSpecialization/Developing_Data_Products,NEW,Courses,2021-07-07 03:01:42,202.0,1289.0,2.0,2016-08-25 19:47:39,2017-07-31 15:11:59,DataScienceSpecialization/Developing_Data_Products,inactive,,2021-05-24 02:12:43.928732
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,,
datasciencecoursera,https://github.com/mGalarnyk/datasciencecoursera,NEW,Courses,2021-07-10 17:26:11,1799.0,1834.0,8.0,2016-12-27 03:59:24,2021-02-19 04:16:58,mGalarnyk/datasciencecoursera,active,,2021-04-19 01:25:20.750834
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,2021-07-08 04:54:11,522.0,295.0,2.0,2017-10-31 23:01:08,2020-01-14 03:24:16,zyxue/stanford-cs229,active,,2021-04-19 01:25:20.750834
Play-with-Machine-Learning-Algorithms,https://github.com/liuyubobobo/Play-with-Machine-Learning-Algorithms,NEW,Courses,2021-07-10 08:12:37,1072.0,571.0,1.0,2017-10-17 23:13:24,2020-11-10 08:26:50,liuyubobobo/Play-with-Machine-Learning-Algorithms,active,,2021-04-19 01:25:20.750834
china-dictatorship,https://github.com/cirosantilli/china-dictatorship,NEW,Courses,2021-07-10 05:43:11,479.0,61.0,4.0,2015-04-02 20:51:50,2021-07-06 10:55:23,cirosantilli/china-dictatorship,active,,2021-04-19 01:25:20.750834
Berkeley Lab CIFT,https://cs.lbl.gov/news-media/news/news-archive/2010/berkeley-lab-launches-new-center-for-innovative-financial-technology/,,Colleges Centers and Departments,,,,,,,,,,
Oxford Man,https://www.oxford-man.ox.ac.uk/,Oxford-Man Institute of Quantitative Finance,Colleges Centers and Departments,,,,,,,,,,
NYU Courant,https://cims.nyu.edu/,"Courant Institute of Mathematical Sciences, New York University",Colleges Centers and Departments,,,,,,,,,,
coursera-deep-learning-specialization,https://github.com/amanchadha/coursera-deep-learning-specialization,NEW,Courses,2021-07-10 12:53:03,393.0,422.0,1.0,2020-06-24 05:59:01,2021-07-01 21:33:57,amanchadha/coursera-deep-learning-specialization,active,,2021-04-19 01:25:20.750834
china-dictatorship,https://github.com/cirosantilli/china-dictatorship,NEW,Courses,2021-07-10 05:43:11,479.0,61.0,4.0,2015-04-02 20:51:50,2021-07-06 10:55:23,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,2021-07-10 08:12:37,1072.0,571.0,1.0,2017-10-17 23:13:24,2020-11-10 08:26:50,liuyubobobo/Play-with-Machine-Learning-Algorithms,active,,2021-04-19 01:25:20.750834
stanford-cs229,https://github.com/zyxue/stanford-cs229,NEW,Courses,2021-07-08 04:54:11,522.0,295.0,2.0,2017-10-31 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
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,,
Developing_Data_Products,https://github.com/DataScienceSpecialization/Developing_Data_Products,NEW,Courses,2021-07-07 03:01:42,202.0,1289.0,2.0,2016-08-25 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,2021-07-10 12:41:46,298.0,151.0,5.0,2020-05-21 01:26:52,2021-06-19 17:09:20,JuliaAcademy/DataScience,active,,2021-04-19 01:25:20.750834
CourseraML,https://github.com/kaleko/CourseraML,NEW,Courses,2021-07-07 10:48:20,1890.0,773.0,0.0,2015-12-08 00:03:22,2018-10-30 23:49:56,kaleko/CourseraML,inactive,,2021-04-19 01:25:20.750834
competitive-data-science,https://github.com/hse-aml/competitive-data-science,NEW,Courses,2021-06-27 13:51:17,568.0,592.0,9.0,2017-10-28 14:56:44,2020-06-13 13:44:26,hse-aml/competitive-data-science,active,,2021-04-19 01:25:20.750834
datasci_course_materials,https://github.com/uwescience/datasci_course_materials,NEW,Courses,2021-06-27 04:05:36,900.0,2441.0,6.0,2013-04-12 05:54:36,2017-03-21 19:21:02,uwescience/datasci_course_materials,inactive,,2021-04-19 01:25:20.750834
datascience-box,https://github.com/rstudio-education/datascience-box,NEW,Courses,2021-07-04 20:38:36,661.0,255.0,16.0,2017-12-29 22:16:17,2021-06-25 12:33:09,rstudio-education/datascience-box,active,,2021-04-19 01:25:20.750834
DAT8,https://github.com/justmarkham/DAT8,NEW,Courses,2021-07-09 06:00:57,1500.0,987.0,1.0,2015-08-07 03:35:51,2016-04-18 18:34:09,justmarkham/DAT8,inactive,,2021-04-19 01:25:20.750834
stanford-cs231,https://github.com/machinelearningnanodegree/stanford-cs231,NEW,Courses,2021-05-18 18:13:19,251.0,122.0,4.0,2016-09-05 01:40:41,2017-02-03 16:46:46,machinelearningnanodegree/stanford-cs231,inactive,,2021-04-19 01:25:20.750834
Data-Science-Free,https://github.com/frontbenchHQ/Data-Science-Free,NEW,Courses,2021-06-24 18:59:40,238.0,165.0,4.0,2019-02-10 14:29:29,2020-07-13 06:36:25,frontbenchHQ/Data-Science-Free,active,,2021-04-19 01:25:20.750834
ml-workspace,https://github.com/AdicherlaVenkataSai/ml-workspace,NEW,Courses,2021-07-10 15:04:14,270.0,83.0,1.0,2020-07-10 06:38:10,2020-09-23 18:16:09,AdicherlaVenkataSai/ml-workspace,active,,2021-04-19 01:25:20.750834
Octave,https://github.com/schneems/Octave,NEW,Courses,2021-07-01 01:47:49,785.0,499.0,1.0,2011-10-24 23:50:52,2016-07-08 20:45:40,schneems/Octave,inactive,,2021-04-19 01:25:20.750834
causalML,https://github.com/altdeep/causalML,NEW,Courses,2021-07-09 11:54:32,424.0,126.0,32.0,2018-12-17 05:22:47,2021-04-15 20:37:28,altdeep/causalML,active,,2021-04-19 01:25:20.750834
OptML_course,https://github.com/epfml/OptML_course,NEW,Courses,2021-07-08 09:56:39,459.0,159.0,10.0,2018-02-21 19:06:55,2021-06-28 10:38:57,epfml/OptML_course,active,,2021-04-19 01:25:20.750834
python-seminar,https://github.com/profjsb/python-seminar,NEW,Courses,2021-06-29 23:00:41,302.0,147.0,11.0,2012-08-23 03:30:01,2020-04-30 20:43:47,profjsb/python-seminar,active,,2021-04-19 01:25:20.750834
ML Specialisation,https://github.com/Ahmed0028/Machine-Learning-and-Reinforcement-Learning-in-Finance-Specialization,Machine Learning in Finance.,Courses,2021-06-29 18:04:28,35.0,35.0,1.0,2019-01-24 02:55:01,2020-01-03 21:54:16,Ahmed0028/Machine-Learning-and-Reinforcement-Learning-in-Finance-Specialization,active,,
Machine Learning for Trading,https://github.com/stefan-jansen/machine-learning-for-trading,"Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading.",Courses,2021-07-10 15:47:59,4291.0,1471.0,9.0,2018-05-09 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,2021-07-09 16:45:00,471.0,593.0,2.0,2017-03-02 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,,
Intro,https://github.com/rstudio/Intro,NEW,Courses,2021-07-09 05:43:18,230.0,295.0,1.0,2014-11-11 20:45:33,2014-11-12 13:42:32,rstudio/Intro,inactive,,2021-04-19 01:25:20.750834
PyMLSlides,https://github.com/dmitriydligach/PyMLSlides,NEW,Courses,2021-07-05 19:05:01,280.0,118.0,0.0,2017-06-05 13:59:15,2020-10-06 21:34:43,dmitriydligach/PyMLSlides,active,,2021-04-19 01:25:20.750834
PythonNumericalDemos,https://github.com/GeostatsGuy/PythonNumericalDemos,NEW,Courses,2021-07-10 17:28:02,285.0,199.0,1.0,2017-10-13 15:44:06,2021-07-10 17:27:59,GeostatsGuy/PythonNumericalDemos,active,,2021-04-19 01:25:20.750834
DataScienceSpCourseNotes,https://github.com/sux13/DataScienceSpCourseNotes,NEW,Courses,2021-06-11 18:55:39,710.0,2405.0,10.0,2015-03-09 00:51:32,2016-02-16 06:12:54,sux13/DataScienceSpCourseNotes,inactive,,2021-04-19 01:25:20.750834
Python for Finance,https://github.com/siaen/python_finance_course,CEU python for finance course material.,Courses,2021-04-28 18:10:55,17.0,15.0,4.0,2017-12-12 11:54:46,2020-02-25 20:31:41,siaen/python_finance_course,active,,
Algo Trading,https://github.com/JCreeks/Machine-Learning-in-Finance/tree/master/0_Intro_to_Algo_Trading,Intro to algo trading.,Courses,2021-06-28 03:36:32,66.0,25.0,1.0,2017-10-29 20:34:54,2019-01-22 06:56:08,JCreeks/Machine-Learning-in-Finance,inactive,,
Basic Derivatives,https://github.com/SeanMcOwen/FinanceAndPython.com-Derivatives,Basic forward contracts and hedging.,Courses,2021-03-31 02:08:39,4.0,4.0,1.0,2017-08-24 00:11:37,2017-10-13 01:32:23,SeanMcOwen/FinanceAndPython.com-Derivatives,inactive,,
Risk Management,https://github.com/andrey-lukyanov/Risk-Management,Finance risk engagement course resources.,Courses,2021-04-20 08:29:36,8.0,5.0,3.0,2018-10-03 16:26:14,2018-12-13 08:04:15,andrey-lukyanov/Risk-Management,inactive,,
Handson Python for Finance,https://github.com/PacktPublishing/Hands-on-Python-for-Finance,Hands-on Python for Finance published by Packt.,Courses,2021-07-09 20:10:41,146.0,115.0,3.0,2018-08-20 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,,
OptML_course,https://github.com/epfml/OptML_course,NEW,Courses,2021-07-08 09:56:39,459.0,159.0,10.0,2018-02-21 19:06:55,2021-06-28 10:38:57,epfml/OptML_course,active,,2021-04-19 01:25:20.750834
courses,https://github.com/DataScienceSpecialization/courses,NEW,Courses,2021-07-08 02:59:15,3787.0,30843.0,13.0,2014-01-21 10:22:57,2016-03-16 12:13:44,DataScienceSpecialization/courses,inactive,,2021-04-19 01:25:20.750834
https://fred.stlouisfed.org/,https://fred.stlouisfed.org/,,Data,,,,,,,,,,
Non-financial Corporate,http://raw.rutgers.edu/Non-Financial%20Corporate%20Data.html,,Data,,,,,,,,,,
IRS,http://social-metrics.org/sox/,,Data,,,,,,,,,,
https://stooq.com,https://stooq.com,,Data,,,,,,,,,,
Web Scraping (FirmAI),https://github.com/firmai/business-machine-learning/blob/master/www.firmai.org/data,,Data,2021-07-10 16:25:56,590.0,190.0,2.0,2019-02-19 19:02:59,2020-07-22 16:48:21,firmai/business-machine-learning,active,,
http://finance.yahoo.com/,http://finance.yahoo.com/,,Data,,,,,,,,,,
Open Edgar,https://github.com/LexPredict/openedgar,,Data,2021-06-23 20:36:15,180.0,64.0,6.0,2018-05-07 15:32:31,2019-05-15 08:32:30,LexPredict/openedgar,inactive,,
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,,
Financial Corporate,http://raw.rutgers.edu/Corporate%20Financial%20Data.html,,Data,,,,,,,,,,
Employee Count SEC Filings,https://github.com/healthgradient/sec_employee_information_extraction,,Data,2021-04-18 03:25:43,11.0,2.0,1.0,2018-06-26 23:33:51,2018-08-14 01:31:13,healthgradient/sec_employee_information_extraction,inactive,,
EDGAR,https://github.com/TiesdeKok/UW_Python_Camp/blob/master/Materials/Session_5/EDGAR_walkthrough.ipynb,,Data,2021-06-29 15:03:48,13.0,11.0,1.0,2018-06-11 22:51:57,2018-07-10 18:03:52,TiesdeKok/UW_Python_Camp,inactive,,
https://github.com/timestocome/StockMarketData,https://github.com/timestocome/StockMarketData,,Data,2021-06-26 07:19:31,7.0,5.0,1.0,2017-05-10 21:49:45,2017-08-06 19:23:18,timestocome/StockMarketData,inactive,,
Capital Markets Data,https://www.capitalmarketsdata.com/,,Data,,,,,,,,,,
Basic Investments,https://github.com/SeanMcOwen/FinanceAndPython.com-Investments,Basic investment tools in python.,Courses,2021-03-23 06:32:10,9.0,7.0,1.0,2017-08-02 21:52:19,2017-08-17 03:24:53,SeanMcOwen/FinanceAndPython.com-Investments,inactive,,
Handson Python for Finance,https://github.com/PacktPublishing/Hands-on-Python-for-Finance,Hands-on Python for Finance published by Packt.,Courses,2021-07-09 20:10:41,146.0,115.0,3.0,2018-08-20 14:10:37,2021-01-15 08:57:06,PacktPublishing/Hands-on-Python-for-Finance,active,,
Risk Management,https://github.com/andrey-lukyanov/Risk-Management,Finance risk engagement course resources.,Courses,2021-04-20 08:29:36,8.0,5.0,3.0,2018-10-03 16:26:14,2018-12-13 08:04:15,andrey-lukyanov/Risk-Management,inactive,,
Basic Derivatives,https://github.com/SeanMcOwen/FinanceAndPython.com-Derivatives,Basic forward contracts and hedging.,Courses,2021-03-31 02:08:39,4.0,4.0,1.0,2017-08-24 00:11:37,2017-10-13 01:32:23,SeanMcOwen/FinanceAndPython.com-Derivatives,inactive,,
Algo Trading,https://github.com/JCreeks/Machine-Learning-in-Finance/tree/master/0_Intro_to_Algo_Trading,Intro to algo trading.,Courses,2021-06-28 03:36:32,66.0,25.0,1.0,2017-10-29 20:34:54,2019-01-22 06:56:08,JCreeks/Machine-Learning-in-Finance,inactive,,
Python for Finance,https://github.com/siaen/python_finance_course,CEU python for finance course material.,Courses,2021-04-28 18:10:55,17.0,15.0,4.0,2017-12-12 11:54:46,2020-02-25 20:31:41,siaen/python_finance_course,active,,
causalML,https://github.com/altdeep/causalML,NEW,Courses,2021-07-09 11:54:32,424.0,126.0,32.0,2018-12-17 05:22:47,2021-04-15 20:37:28,altdeep/causalML,active,,2021-04-19 01:25:20.750834
DataScienceSpCourseNotes,https://github.com/sux13/DataScienceSpCourseNotes,NEW,Courses,2021-06-11 18:55:39,710.0,2405.0,10.0,2015-03-09 00:51:32,2016-02-16 06:12:54,sux13/DataScienceSpCourseNotes,inactive,,2021-04-19 01:25:20.750834
PyMLSlides,https://github.com/dmitriydligach/PyMLSlides,NEW,Courses,2021-07-05 19:05:01,280.0,118.0,0.0,2017-06-05 13:59:15,2020-10-06 21:34:43,dmitriydligach/PyMLSlides,active,,2021-04-19 01:25:20.750834
Intro,https://github.com/rstudio/Intro,NEW,Courses,2021-07-09 05:43:18,230.0,295.0,1.0,2014-11-11 20:45:33,2014-11-12 13:42:32,rstudio/Intro,inactive,,2021-04-19 01:25:20.750834
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,2021-07-09 16:45:00,471.0,593.0,2.0,2017-03-02 13:10:27,2017-12-14 20:46:54,datacamp/course-resources-ml-with-experts-budgets,inactive,,2021-04-19 01:25:20.750834
Machine Learning for Trading,https://github.com/stefan-jansen/machine-learning-for-trading,"Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading.",Courses,2021-07-10 15:47:59,4291.0,1471.0,9.0,2018-05-09 12:33:08,2021-06-07 16:40:30,stefan-jansen/machine-learning-for-trading,active,,
ML Specialisation,https://github.com/Ahmed0028/Machine-Learning-and-Reinforcement-Learning-in-Finance-Specialization,Machine Learning in Finance.,Courses,2021-06-29 18:04:28,35.0,35.0,1.0,2019-01-24 02:55:01,2020-01-03 21:54:16,Ahmed0028/Machine-Learning-and-Reinforcement-Learning-in-Finance-Specialization,active,,
python-seminar,https://github.com/profjsb/python-seminar,NEW,Courses,2021-06-29 23:00:41,302.0,147.0,11.0,2012-08-23 03:30:01,2020-04-30 20:43:47,profjsb/python-seminar,active,,2021-04-19 01:25:20.750834
DataScienceCourse,https://github.com/briandalessandro/DataScienceCourse,NEW,Courses,2021-07-10 15:27:22,604.0,743.0,13.0,2014-10-01 08:45:51,2020-12-20 13:03:56,briandalessandro/DataScienceCourse,active,,2021-04-19 01:25:20.750834
ppd599,https://github.com/gboeing/ppd599,NEW,Courses,2021-07-01 08:05:28,1087.0,458.0,1.0,2015-09-01 19:59:59,2021-05-12 00:29:25,gboeing/ppd599,active,,2021-04-19 01:25:20.750834
datasciencecoursera,https://github.com/mGalarnyk/datasciencecoursera,NEW,Courses,2021-07-10 17:26:11,1799.0,1834.0,8.0,2016-12-27 03:59:24,2021-02-19 04:16:58,mGalarnyk/datasciencecoursera,active,,2021-04-19 01:25:20.750834
mlcourse.ai,https://github.com/Yorko/mlcourse.ai,NEW,Courses,2021-07-10 16:42:21,7714.0,5074.0,191.0,2017-02-27 08:32:20,2021-06-21 15:23:28,Yorko/mlcourse.ai,active,,2021-04-19 01:25:20.750834
Stanford-Machine-Learning-Course,https://github.com/zhouxc/Stanford-Machine-Learning-Course,NEW,Courses,2021-06-29 08:12:17,513.0,365.0,1.0,2011-12-25 10:00:48,2011-12-25 10:01:12,zhouxc/Stanford-Machine-Learning-Course,inactive,,2021-04-19 01:25:20.750834
ML_course,https://github.com/epfml/ML_course,NEW,Courses,2021-07-10 19:59:08,660.0,520.0,1.0,2016-07-13 15:37:38,2021-06-08 13:49:10,epfml/ML_course,active,,2021-04-19 01:25:20.750834
machine-learning-resources,https://github.com/datascienceid/machine-learning-resources,NEW,Courses,2021-06-28 12:21:18,246.0,90.0,4.0,2018-04-09 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,2021-07-10 06:05:25,375.0,329.0,1.0,2016-08-20 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,2021-07-07 08:57:54,248.0,205.0,1.0,2018-12-06 02:20:59,2019-01-11 04:24:52,Benlau93/Machine-Learning-by-Andrew-Ng-in-Python,inactive,,2021-04-19 01:25:20.750834
MTH594_MachineLearning,https://github.com/diefimov/MTH594_MachineLearning,NEW,Courses,2021-06-18 17:45:58,332.0,135.0,1.0,2016-03-09 07:35:19,2017-03-31 21:46:26,diefimov/MTH594_MachineLearning,inactive,,2021-04-19 01:25:20.750834
Artificial-Intelligence-and-Machine-Learning,https://github.com/emilmont/Artificial-Intelligence-and-Machine-Learning,NEW,Courses,2021-07-03 03:47:50,516.0,302.0,1.0,2011-10-16 22:51:06,2013-07-20 18:21:51,emilmont/Artificial-Intelligence-and-Machine-Learning,inactive,,2021-04-19 01:25:20.750834
ml-course-msu,https://github.com/esokolov/ml-course-msu,NEW,Courses,2021-07-07 11:34:25,770.0,303.0,1.0,2015-09-11 08:51:24,2018-05-07 15:40:56,esokolov/ml-course-msu,inactive,,2021-04-19 01:25:20.750834
JSE_OkCupid,https://github.com/rudeboybert/JSE_OkCupid,NEW,Courses,2021-06-27 19:11:17,211.0,62.0,1.0,2015-03-28 08:38:27,2021-04-26 18:35:26,rudeboybert/JSE_OkCupid,active,,2021-04-19 01:25:20.750834
ML-YouTube-Courses,https://github.com/dair-ai/ML-YouTube-Courses,NEW,Courses,2021-07-10 21:21:07,1187.0,90.0,1.0,2021-06-25 09:39:16,2021-07-07 11:22:01,dair-ai/ML-YouTube-Courses,active,,2021-06-28 01:48:33.633779
mlcourse,https://github.com/davidrosenberg/mlcourse,NEW,Courses,2021-07-09 08:24:05,414.0,223.0,9.0,2015-10-11 22:18:25,2021-03-14 01:19:08,davidrosenberg/mlcourse,active,,2021-04-19 01:25:20.750834
stat479-machine-learning-fs19,https://github.com/rasbt/stat479-machine-learning-fs19,NEW,Courses,2021-07-04 13:45:49,652.0,225.0,1.0,2019-08-07 07:36:20,2020-11-28 00:04:07,rasbt/stat479-machine-learning-fs19,active,,2021-04-19 01:25:20.750834
Introduction-to-Machine-Learning,https://github.com/codeheroku/Introduction-to-Machine-Learning,NEW,Courses,2021-07-10 13:44:43,300.0,784.0,3.0,2019-02-09 12:07:52,2020-11-28 08:44:08,codeheroku/Introduction-to-Machine-Learning,active,,2021-04-19 01:25:20.750834
stat479-machine-learning-fs18,https://github.com/rasbt/stat479-machine-learning-fs18,NEW,Courses,2021-06-30 15:23:44,425.0,209.0,1.0,2018-09-06 00:30:56,2018-12-20 23:45:13,rasbt/stat479-machine-learning-fs18,inactive,,2021-04-19 01:25:20.750834
Online-Courses-Learning,https://github.com/MrinmoiHossain/Online-Courses-Learning,NEW,Courses,2021-07-09 04:16:45,204.0,396.0,1.0,2018-08-12 18:52:29,2019-07-14 21:07:56,MrinmoiHossain/Online-Courses-Learning,active,,2021-06-21 01:58:47.497649
cornell-cs5785-applied-ml,https://github.com/kuleshov/cornell-cs5785-applied-ml,NEW,Courses,2021-07-09 17:03:39,209.0,71.0,1.0,2021-03-26 06:33:58,2021-03-26 07:52:04,kuleshov/cornell-cs5785-applied-ml,active,,2021-07-05 01:46:13.555262
ml-mipt,https://github.com/girafe-ai/ml-mipt,NEW,Courses,2021-07-08 12:36:23,545.0,382.0,7.0,2019-02-01 16:20:39,2020-11-04 10:56:04,girafe-ai/ml-mipt,active,,2021-04-19 01:25:20.750834
DP100,https://github.com/MicrosoftLearning/DP100,NEW,Courses,2021-07-05 21:51:55,505.0,523.0,2.0,2020-01-06 20:38:41,2020-12-30 17:22:42,MicrosoftLearning/DP100,active,,2021-04-19 01:25:20.750834
machine-learning-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
machine-learning-coursera,https://github.com/yhyap/machine-learning-coursera,NEW,Courses,2021-06-30 14:10:34,231.0,196.0,1.0,2013-05-03 09:41:53,2013-05-05 11:58:38,yhyap/machine-learning-coursera,inactive,,2021-04-19 01:25:20.750834
awesome-ml-courses,https://github.com/luspr/awesome-ml-courses,NEW,Courses,2021-07-09 07:51:10,2021.0,222.0,4.0,2020-05-08 20:41:59,2021-02-18 20:26:31,luspr/awesome-ml-courses,active,,2021-04-19 01:25:20.750834
DAT7,https://github.com/justmarkham/DAT7,NEW,Courses,2021-07-01 11:01:17,229.0,199.0,1.0,2015-05-16 02:29:54,2016-03-18 16:20:30,justmarkham/DAT7,inactive,,2021-04-19 01:25:20.750834
ciml,https://github.com/hal3/ciml,NEW,Courses,2021-07-01 14:55:43,781.0,220.0,2.0,2015-08-12 19:26:00,2017-01-20 16:24:19,hal3/ciml,inactive,,2021-04-19 01:25:20.750834
DAT3,https://github.com/justmarkham/DAT3,NEW,Courses,2021-07-08 08:35:52,627.0,372.0,4.0,2014-09-18 20:30:19,2020-05-19 09:21:02,justmarkham/DAT3,active,,2021-04-19 01:25:20.750834
Coursera-Stanford-ML-Python,https://github.com/mstampfer/Coursera-Stanford-ML-Python,NEW,Courses,2021-06-25 04:39:23,408.0,233.0,3.0,2015-10-28 19:51:00,2016-09-02 00:21:30,mstampfer/Coursera-Stanford-ML-Python,inactive,,2021-04-19 01:25:20.750834
2014,https://github.com/cs109/2014,NEW,Courses,2021-05-17 01:31:57,309.0,765.0,4.0,2014-07-21 22:46:20,2014-12-17 14:37:02,cs109/2014,inactive,,2021-04-19 01:25:20.750834
machine-learning-course,https://github.com/instillai/machine-learning-course,NEW,Courses,2021-07-09 06:57:20,6688.0,1224.0,9.0,2019-02-15 00:23:19,2020-04-21 03:19:12,instillai/machine-learning-course,active,,2021-04-19 01:25:20.750834
machine-learning-coursera-1,https://github.com/Borye/machine-learning-coursera-1,NEW,Courses,2021-07-06 07:31:08,1111.0,938.0,1.0,2014-08-28 10:48:18,2014-06-17 10:37:27,Borye/machine-learning-coursera-1,inactive,,2021-04-19 01:25:20.750834
zero-to-mastery-ml,https://github.com/mrdbourke/zero-to-mastery-ml,NEW,Courses,2021-07-10 19:18:18,798.0,1365.0,15.0,2019-09-23 04:56:51,2021-06-09 00:10:06,mrdbourke/zero-to-mastery-ml,active,,2021-04-19 01:25:20.750834
DAT4,https://github.com/justmarkham/DAT4,NEW,Courses,2021-07-06 06:23:31,757.0,655.0,3.0,2014-12-10 19:38:29,2021-02-15 23:26:27,justmarkham/DAT4,active,,2021-04-19 01:25:20.750834
dive-into-machine-learning,https://github.com/hangtwenty/dive-into-machine-learning,NEW,Courses,2021-07-10 19:58:36,10614.0,1944.0,30.0,2015-02-22 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,2021-07-09 01:02:37,318.0,2979.0,2.0,2019-01-09 20:30:46,2021-06-20 20:37:28,trainindata/deploying-machine-learning-models,active,,2021-04-19 01:25:20.750834
machine-learning-online-2018,https://github.com/coding-blocks-archives/machine-learning-online-2018,NEW,Courses,2021-07-02 12:31:34,262.0,526.0,3.0,2018-07-18 04:24:58,2020-07-02 09:24:40,coding-blocks-archives/machine-learning-online-2018,active,,2021-04-19 01:25:20.750834
tensorflow-without-a-phd,https://github.com/GoogleCloudPlatform/tensorflow-without-a-phd,NEW,Courses,2021-07-07 10:55:45,2418.0,845.0,11.0,2018-05-09 18:33:40,2020-06-03 21:08:32,GoogleCloudPlatform/tensorflow-without-a-phd,active,,2021-04-19 01:25:20.750834
Udemy---Machine-Learning,https://github.com/jmportilla/Udemy---Machine-Learning,NEW,Courses,2021-06-15 09:17:29,208.0,408.0,3.0,2015-04-27 22:44:40,2016-07-06 23:58:33,jmportilla/Udemy---Machine-Learning,inactive,,2021-04-19 01:25:20.750834
master,https://github.com/ML-course/master,NEW,Courses,2021-07-05 03:20:15,342.0,174.0,11.0,2017-02-04 22:44:35,2021-04-23 22:36:34,ML-course/master,active,,2021-04-19 01:25:20.750834
MachineLearningWithPython,https://github.com/JerryKurata/MachineLearningWithPython,NEW,Courses,2021-07-09 13:52:18,235.0,349.0,1.0,2016-04-24 21:20:10,2021-04-15 18:17:30,JerryKurata/MachineLearningWithPython,active,,2021-04-19 01:25:20.750834
Rating Industries,http://www.ratingshistory.info/,,Data,,,,,,,,,,
cointrader,https://github.com/timolson/cointrader,java based platform for trading crypto. Relevant sections including using esper event queries to transform data and place orders,Data Processing Techniques and Transformations,2021-07-07 15:00:50,366.0,145.0,9.0,2014-06-01 01:14:12,2021-05-19 17:05:49,timolson/cointrader,active,2.0,12:49.2
CryptoNets,https://github.com/microsoft/CryptoNets,CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with [Homomorphic Encryption](https://www.cs.cmu.edu/~odonnell/hits09/gentry-homomorphic-encryption.pdf). Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted.,Data Processing Techniques and Transformations,2021-06-12 18:53:10,160.0,47.0,4.0,2019-06-02 05:48:39,2019-09-12 13:03:05,microsoft/CryptoNets,active,2.0,12:49.2
Google-Finance-Stock-Data-Analysis,https://github.com/hpnhxxwn/Google-Finance-Stock-Data-Analysis,data processing platform which stream data from kafka. The example shows two incoming data stream stock vs tweets and two spark streams are created to consume the kafka data then end results are stored in cassandra. Older tech stacks were used and not actively maintained.,Data Processing Techniques and Transformations,2021-04-24 12:13:48,71.0,10.0,1.0,2017-07-23 02:59:59,2017-07-23 03:10:35,hpnhxxwn/Google-Finance-Stock-Data-Analysis,inactive,3.0,12:49.2
Advanced ML,https://github.com/BlackArbsCEO/Adv_Fin_ML_Exercises,Exercises to book [advances in financial machine learning](https://www.wiley.com/en-us/Advances+in+Financial+Machine+Learning-p-9781119482109). Relevant topics include data cleaning and outlier detection (using MAD),Data Processing Techniques and Transformations,2021-07-08 22:18:00,1044.0,457.0,4.0,2018-04-25 17:22:40,2020-01-16 17:25:41,BlackArbsCEO/Adv_Fin_ML_Exercises,active,4.0,
Financial Corporate,http://raw.rutgers.edu/Corporate%20Financial%20Data.html,,Data,,,,,,,,,,
Capital Markets Data,https://www.capitalmarketsdata.com/,,Data,,,,,,,,,,
https://github.com/timestocome/StockMarketData,https://github.com/timestocome/StockMarketData,,Data,2021-06-26 07:19:31,7.0,5.0,1.0,2017-05-10 21:49:45,2017-08-06 19:23:18,timestocome/StockMarketData,inactive,,
EDGAR,https://github.com/TiesdeKok/UW_Python_Camp/blob/master/Materials/Session_5/EDGAR_walkthrough.ipynb,,Data,2021-06-29 15:03:48,13.0,11.0,1.0,2018-06-11 22:51:57,2018-07-10 18:03:52,TiesdeKok/UW_Python_Camp,inactive,,
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,,
IRS,http://social-metrics.org/sox/,,Data,,,,,,,,,,
http://finance.yahoo.com/,http://finance.yahoo.com/,,Data,,,,,,,,,,
Web Scraping (FirmAI),https://github.com/firmai/business-machine-learning/blob/master/www.firmai.org/data,,Data,2021-07-10 16:25:56,590.0,190.0,2.0,2019-02-19 19:02:59,2020-07-22 16:48:21,firmai/business-machine-learning,active,,
https://stooq.com,https://stooq.com,,Data,,,,,,,,,,
Non-financial Corporate,http://raw.rutgers.edu/Non-Financial%20Corporate%20Data.html,,Data,,,,,,,,,,
https://fred.stlouisfed.org/,https://fred.stlouisfed.org/,,Data,,,,,,,,,,
Open Edgar,https://github.com/LexPredict/openedgar,,Data,2021-06-23 20:36:15,180.0,64.0,6.0,2018-05-07 15:32:31,2019-05-15 08:32:30,LexPredict/openedgar,inactive,,
finserv-application-blueprint,https://github.com/mapr-demos/finserv-application-blueprint,generate streamable data using mapr converged data platfrom built mostly in java. Uses apache [zepplin](https://zeppelin.apache.org/) for web visualization ,Data Processing Techniques and Transformations,2021-06-08 14:08:51,73.0,53.0,5.0,2016-09-26 19:42:54,2021-06-07 17:38:13,mapr-demos/finserv-application-blueprint,active,2.0,12:49.2
Advanced ML,https://github.com/BlackArbsCEO/Adv_Fin_ML_Exercises,Exercises to book [advances in financial machine learning](https://www.wiley.com/en-us/Advances+in+Financial+Machine+Learning-p-9781119482109). Relevant topics include data cleaning and outlier detection (using MAD),Data Processing Techniques and Transformations,2021-07-08 22:18:00,1044.0,457.0,4.0,2018-04-25 17:22:40,2020-01-16 17:25:41,BlackArbsCEO/Adv_Fin_ML_Exercises,active,4.0,
Twitter-Trends,https://github.com/Medha11/Twitter-Trends,sentiment analysis baed on twitter data. Relevant topics include data cleaning/tokenization/data aggregation using mangodb etc.,Data Processing Techniques and Transformations,2021-07-03 23:16:43,70.0,20.0,1.0,2017-05-22 17:07:45,2017-05-23 08:06:27,Medha11/Twitter-Trends,inactive,3.0,12:49.2
CryptoNets,https://github.com/microsoft/CryptoNets,CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with [Homomorphic Encryption](https://www.cs.cmu.edu/~odonnell/hits09/gentry-homomorphic-encryption.pdf). Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted.,Data Processing Techniques and Transformations,2021-06-12 18:53:10,160.0,47.0,4.0,2019-06-02 05:48:39,2019-09-12 13:03:05,microsoft/CryptoNets,active,2.0,12:49.2
cointrader,https://github.com/timolson/cointrader,java based platform for trading crypto. Relevant sections including using esper event queries to transform data and place orders,Data Processing Techniques and Transformations,2021-07-07 15:00:50,366.0,145.0,9.0,2014-06-01 01:14:12,2021-05-19 17:05:49,timolson/cointrader,active,2.0,12:49.2
Google-Finance-Stock-Data-Analysis,https://github.com/hpnhxxwn/Google-Finance-Stock-Data-Analysis,data processing platform which stream data from kafka. The example shows two incoming data stream stock vs tweets and two spark streams are created to consume the kafka data then end results are stored in cassandra. Older tech stacks were used and not actively maintained.,Data Processing Techniques and Transformations,2021-04-24 12:13:48,71.0,10.0,1.0,2017-07-23 02:59:59,2017-07-23 03:10:35,hpnhxxwn/Google-Finance-Stock-Data-Analysis,inactive,3.0,12:49.2
Deep Learning IV,https://github.com/achillesrasquinha/bulbea,Bulbea: Deep Learning based Python Library.,Deep Learning And Reinforcement Learning,2021-07-10 16:44:05,1509.0,426.0,1.0,2017-03-09 06:11:06,2017-03-19 07:42:49,achillesrasquinha/bulbea,inactive,5.0,
Machine-Learning-and-Reinforcement-Learning-in-Finance,https://github.com/joelowj/Machine-Learning-and-Reinforcement-Learning-in-Finance,NEW,Deep Learning And Reinforcement Learning,2021-07-02 03:29:00,183.0,97.0,1.0,2018-06-26 04:30:08,2018-09-23 16:50:33,joelowj/Machine-Learning-and-Reinforcement-Learning-in-Finance,inactive,,39:11.1
Deep-Reinforcement-Stock-Trading,https://github.com/Albert-Z-Guo/Deep-Reinforcement-Stock-Trading,inspired by Q-trader a deep reinforcement learning repo for trading. Only 3 actions allowed (buy/hold/sell) and no transaction cost is implemented yet. Uses [empyrical](https://github.com/quantopian/empyrical) for portfolio stats,Deep Learning And Reinforcement Learning,2021-07-02 03:14:09,162.0,47.0,2.0,2019-05-19 22:20:05,2020-09-27 19:22:28,Albert-Z-Guo/Deep-Reinforcement-Stock-Trading,active,3.0,3/31/21 8:00
RL V,https://github.com/gstenger98/rl-finance,Building an Agent to Trade with Reinforcement Learning.,Deep Learning And Reinforcement Learning,2021-04-08 18:57:53,33.0,9.0,5.0,2019-01-16 00:43:36,2020-03-19 20:28:08,gstenger98/rl-finance,active,2.0,
FinRL,https://github.com/AI4Finance-LLC/FinRL,NEW,Deep Learning And Reinforcement Learning,2021-07-10 08:25:00,2267.0,597.0,24.0,2020-07-26 13:18:16,2021-07-06 18:19:04,AI4Finance-LLC/FinRL,active,,13:03.7
Deep Learning,https://github.com/keon/deepstock,Technical experimentations to beat the stock market using deep learning.,Deep Learning And Reinforcement Learning,2021-07-07 04:32:05,431.0,154.0,2.0,2016-12-12 02:15:12,2017-03-04 08:37:29,keon/deepstock,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,2021-07-08 02:35:53,1355.0,487.0,3.0,2016-06-11 07:27:10,2018-01-22 14:35:50,deependersingla/deep_trader,inactive,3.0,
Neural Network,https://github.com/VivekPa/IntroNeuralNetworks,Neural networks to predict stock prices.,Deep Learning And Reinforcement Learning,2021-07-09 18:35:20,516.0,178.0,2.0,2018-09-10 06:34:53,2018-11-21 07:39:31,VivekPa/IntroNeuralNetworks,inactive,4.0,
RL,https://github.com/kh-kim/stock_market_reinforcement_learning,OpenGym with Deep Q-learning and Policy Gradient.,Deep Learning And Reinforcement Learning,2021-07-08 02:35:48,729.0,304.0,1.0,2016-10-04 14:42:19,2016-12-23 07:34:08,kh-kim/stock_market_reinforcement_learning,inactive,2.0,
LTSM Recurrent,https://github.com/VivekPa/AIAlpha,OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network.,Deep Learning And Reinforcement Learning,2021-07-10 20:30:03,1257.0,387.0,2.0,2018-10-07 03:58:26,2019-08-03 09:00:44,VivekPa/AIAlpha,active,4.0,
RL IV,https://github.com/jjakimoto/DQN,Reinforcement Learning for finance.,Deep Learning And Reinforcement Learning,2021-05-31 10:06:44,143.0,55.0,1.0,2016-10-21 02:47:17,2017-04-07 08:11:57,jjakimoto/DQN,inactive,,
ARIMA-LTSM Hybrid,https://github.com/imhgchoi/Corr_Prediction_ARIMA_LSTM_Hybrid,Hybrid model to predict future price correlation coefficients of two assets.,Deep Learning And Reinforcement Learning,2021-07-06 06:13:55,231.0,92.0,1.0,2018-08-05 02:13:21,2018-10-01 11:25:53,imhgchoi/ARIMA-LSTM-hybrid-corrcoef-predict,inactive,3.0,
gym-trading,https://github.com/hackthemarket/gym-trading,NEW,Deep Learning And Reinforcement Learning,2021-07-04 14:27:24,597.0,198.0,2.0,2016-12-09 20:46:19,2017-12-24 15:34:37,hackthemarket/gym-trading,inactive,,39:11.1
maro,https://github.com/microsoft/maro,NEW,Deep Learning And Reinforcement Learning,2021-07-09 10:53:31,444.0,82.0,19.0,2019-12-27 06:48:27,2021-07-09 10:53:21,microsoft/maro,active,,39:11.1
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,2021-07-10 20:50:44,1375.0,477.0,15.0,2019-04-27 18:35:15,2019-10-17 16:25:49,notadamking/RLTrader,active,5.0,3/31/21 8:00
Pair-Trading-Reinforcement-Learning,https://github.com/wai-i/Pair-Trading-Reinforcement-Learning,NEW,Deep Learning And Reinforcement Learning,2021-07-08 03:36:44,146.0,60.0,1.0,2019-06-09 22:50:37,2020-01-03 15:36:22,wai-i/Pair-Trading-Reinforcement-Learning,active,,39:11.1
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,2021-07-09 05:17:36,333.0,162.0,2.0,2019-02-16 21:18:00,2020-11-29 20:12:59,Rachnog/Advanced-Deep-Trading,active,3.0,3/31/21 8:00
RL III,https://github.com/samre12/deep-trading-agent,Github -Deep Reinforcement Learning based Trading Agent for Bitcoin.,Deep Learning And Reinforcement Learning,2021-07-09 03:11:12,600.0,204.0,1.0,2017-09-21 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,2021-06-25 07:52:45,182.0,38.0,2.0,2019-04-22 10:03:21,2020-09-28 09:07:18,Kostis-S-Z/trading-rl,active,3.0,3/31/21 8:00
Deep Learning II,https://github.com/LiamConnell/deep-algotrading/tree/master/notebooks,Tensorflow Regression.,Deep Learning And Reinforcement Learning,2021-06-24 15:46:03,179.0,68.0,1.0,2016-07-12 12:56:10,2018-02-16 02:43:36,LiamConnell/deep-algotrading,inactive,3.0,
TradingGym,https://github.com/Yvictor/TradingGym,NEW,Deep Learning And Reinforcement Learning,2021-07-10 15:30:40,890.0,245.0,2.0,2017-05-01 13:53:32,2018-02-14 13:58:18,Yvictor/TradingGym,inactive,,39:11.1
Stock-Prediction-Models,https://github.com/huseinzol05/Stock-Prediction-Models,very good curated list of notebooks showing deep learning + reinforcement learning models. Also contain topics on outlier detections/overbought oversold study/monte carlo simulartions/sentiment analysis from text (text storage/parsing is not detailed but it mentioned using [BERT](https://github.com/google-research/bert)),Deep Learning And Reinforcement Learning,2021-07-10 15:55:44,4114.0,1692.0,2.0,2017-12-18 10:49:59,2021-01-05 10:31:50,huseinzol05/Stock-Prediction-Models,active,5.0,3/31/21 8:00
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,2021-07-11 00:45:10,1155.0,333.0,2.0,2018-03-10 11:22:00,2018-09-02 17:21:38,Ceruleanacg/Personae,inactive,5.0,3/31/21 8:00
tensortrade,https://github.com/tensortrade-org/tensortrade,NEW,Deep Learning And Reinforcement Learning,2021-07-11 01:12:02,3318.0,777.0,42.0,2019-07-30 21:28:32,2021-06-19 21:14:43,tensortrade-org/tensortrade,active,,39:11.1
BitcoinForecast,https://github.com/PiSimo/BitcoinForecast,RNN model to predict short term price movement (in this case BTC for the next 9 minutes) [deepchart](https://pisimo.github.io/DeepChart/) is used to visualize the model ,Deep Learning And Reinforcement Learning,2021-06-26 06:24:53,303.0,133.0,3.0,2017-03-10 10:52:02,2018-06-11 08:07:02,PiSimo/BitcoinForecast,inactive,3.0,3/31/21 8:00
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,2021-07-06 08:11:20,136.0,53.0,2.0,2019-02-23 12:01:21,2020-02-25 18:16:34,sachink2010/AutomatedStockTrading-DeepQ-Learning,active,3.0,3/31/21 8:00
Deep Learning III,https://github.com/Rachnog/Deep-Trading,Algorithmic trading with deep learning experiments.,Deep Learning And Reinforcement Learning,2021-07-08 02:35:42,1287.0,681.0,1.0,2016-06-18 18:23:06,2018-08-07 15:24:45,Rachnog/Deep-Trading,inactive,5.0,
QLearning_Trading,https://github.com/ucaiado/QLearning_Trading,NEW,Deep Learning And Reinforcement Learning,2021-06-30 23:20:12,447.0,172.0,1.0,2016-08-10 06:02:23,2016-10-15 02:36:09,ucaiado/QLearning_Trading,inactive,,39:11.1
a3c_trading,https://github.com/evgps/a3c_trading,NEW,Deep Learning And Reinforcement Learning,2021-06-30 02:13:36,323.0,105.0,1.0,2018-06-04 15:30:16,2020-05-23 14:47:54,evgps/a3c_trading,active,,39:11.1
TradingGym,https://github.com/cove9988/TradingGym,NEW,Deep Learning And Reinforcement Learning,2021-06-25 08:29:32,114.0,38.0,3.0,2017-11-06 00:50:01,2017-11-15 23:55:32,cove9988/TradingGym,inactive,,39:11.1
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,2021-07-05 08:01:19,252.0,112.0,1.0,2018-02-25 17:41:42,2020-12-01 22:06:39,golsun/deep-RL-trading,active,3.0,3/31/21 8:00
crypto-rl,https://github.com/sadighian/crypto-rl,Retrieve limit order book level data from coinbase pro and bitfinex -> record in [arctic](https://github.com/man-group/arctic) timeseries database then implemented trend following strategies (market orders) and market making (limit orders). Uses reinforcement learning (DQN) [keras-rl](https://github.com/keras-rl/keras-rl) to create agents and uses [openai gym](https://gym.openai.com/) to implement POMDP (partially observable markov decision process),Deep Learning And Reinforcement Learning,2021-07-10 21:08:13,397.0,120.0,1.0,2018-06-21 01:06:01,2020-11-05 11:08:19,sadighian/crypto-rl,active,3.0,3/31/21 8:00
Deep-Learning-Machine-Learning-Stock,https://github.com/LastAncientOne/Deep-Learning-Machine-Learning-Stock,curated list of notebooks for machine learning models. Start with very simple linear models to more advanced reinforcement learning type of models. Problem with this repo is that the library version numbers may be changing over time and there's no specific way to track and upgrade,Deep Learning And Reinforcement Learning,2021-07-11 00:44:51,320.0,117.0,1.0,2018-09-29 23:38:06,2021-07-09 00:52:28,LastAncientOne/Deep-Learning-Machine-Learning-Stock,active,3.0,3/31/21 8:00
@@ -125,64 +151,17 @@ pairstrade-fyp-2019,https://github.com/wywongbd/pairstrade-fyp-2019,NEW,Deep Lea
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 02:49:19,266.0,148.0,1.0,2017-08-21 16:00:42,2017-08-21 17:23:48,sonaam1234/DeepLearningInFinance,inactive,3.0,3/31/21 8:00
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,
Trading-Gym,https://github.com/thedimlebowski/Trading-Gym,NEW,Deep Learning And Reinforcement Learning,2021-07-10 15:30:35,515.0,146.0,3.0,2017-06-13 13:14:48,2017-07-10 08:09:30,thedimlebowski/Trading-Gym,inactive,,39:11.1
BitcoinForecast,https://github.com/PiSimo/BitcoinForecast,RNN model to predict short term price movement (in this case BTC for the next 9 minutes) [deepchart](https://pisimo.github.io/DeepChart/) is used to visualize the model ,Deep Learning And Reinforcement Learning,2021-06-26 06:24:53,303.0,133.0,3.0,2017-03-10 10:52:02,2018-06-11 08:07:02,PiSimo/BitcoinForecast,inactive,3.0,3/31/21 8:00
TradingGym,https://github.com/cove9988/TradingGym,NEW,Deep Learning And Reinforcement Learning,2021-06-25 08:29:32,114.0,38.0,3.0,2017-11-06 00:50:01,2017-11-15 23:55:32,cove9988/TradingGym,inactive,,39:11.1
RL Trading,https://colab.research.google.com/drive/1FzLCI0AO3c7A4bp9Fi01UwXeoc7BN8sW,A collection of 25+ Reinforcement Learning Trading Strategies -Google Colab.,Deep Learning And Reinforcement Learning,,,,,,,,,4.0,
awesome-deep-trading,https://github.com/cbailes/awesome-deep-trading,curated list of papers/repos on topics like CNN/LSTM/GAN/Reinforcement Learning etc. Categorized as deep learning for now but there are other topics here. Manually maintained by cbailes,Deep Learning And Reinforcement Learning,2021-07-09 07:44:13,650.0,162.0,1.0,2018-11-26 03:23:04,2021-01-01 09:41:21,cbailes/awesome-deep-trading,active,4.0,3/31/21 8:00
AI Trading,https://github.com/borisbanushev/stockpredictionai/blob/master/readme2.md,AI to predict stock market movements.,Deep Learning And Reinforcement Learning,2021-07-10 18:40:35,3018.0,1431.0,1.0,2019-01-09 08:02:47,2019-02-11 16:32:47,borisbanushev/stockpredictionai,inactive,5.0,
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,2021-07-06 17:01:14,149.0,70.0,1.0,2018-05-11 00:52:14,2019-10-26 14:22:44,saeed349/Deep-Reinforcement-Learning-in-Trading,active,3.0,3/31/21 8:00
DQN-DDPG_Stock_Trading,https://github.com/AI4Finance-LLC/DQN-DDPG_Stock_Trading,merged into FinRL library and uses [gym](https://gym.openai.com/) and implementation of DQN,Deep Learning And Reinforcement Learning,2021-07-08 22:10:47,151.0,56.0,4.0,2018-09-19 03:17:06,2020-11-26 16:58:00,AI4Finance-LLC/DQN-DDPG_Stock_Trading,active,3.0,3/31/21 8:00
FinRL-Library,https://github.com/AI4Finance-LLC/FinRL-Library,started by Columbia university engineering students and designed as an end to end deep reinforcement learning library for automated trading platform. Implementation of DQN DDQN DDPG etc using PyTorch and [gym](https://gym.openai.com/) use [pyfolio](https://github.com/quantopian/pyfolio) for showing backtesting stats. Big contributions on Proximal Policy Optimization (PPO) advantage actor critic (A2C) and Deep Deterministic Policy Gradient (DDPG) agents for trading,Deep Learning And Reinforcement Learning,2021-07-10 08:25:00,2267.0,597.0,24.0,2020-07-26 13:18:16,2021-07-06 18:19:04,AI4Finance-LLC/FinRL,active,5.0,3/31/21 8:00
Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020,https://github.com/AI4Finance-LLC/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020,Part of FinRL and provided code for paper [deep reinformacement learning for automated stock trading](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3690996) focuses on ensemble.,Deep Learning And Reinforcement Learning,2021-07-10 18:13:48,701.0,310.0,6.0,2020-07-26 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
Pair Trading RL,https://github.com/shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading,Using deep actor-critic model to learn best strategies in pair trading.,Deep Learning And Reinforcement Learning,2021-06-23 21:18:24,249.0,117.0,1.0,2017-05-18 16:47:11,2017-05-18 16:56:38,shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading,inactive,3.0,
RLQuant,https://github.com/yuriak/RLQuant,NEW,Deep Learning And Reinforcement Learning,2021-07-07 19:27:58,280.0,94.0,1.0,2018-04-05 05:42:44,2018-08-13 04:18:29,yuriak/RLQuant,inactive,,39:11.1
Pair Trading RL,https://github.com/shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading,Using deep actor-critic model to learn best strategies in pair trading.,Deep Learning And Reinforcement Learning,2021-06-23 21:18:24,249.0,117.0,1.0,2017-05-18 16:47:11,2017-05-18 16:56:38,shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading,inactive,3.0,
Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020,https://github.com/AI4Finance-LLC/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020,Part of FinRL and provided code for paper [deep reinformacement learning for automated stock trading](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3690996) focuses on ensemble.,Deep Learning And Reinforcement Learning,2021-07-10 18:13:48,701.0,310.0,6.0,2020-07-26 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
FinRL-Library,https://github.com/AI4Finance-LLC/FinRL-Library,started by Columbia university engineering students and designed as an end to end deep reinforcement learning library for automated trading platform. Implementation of DQN DDQN DDPG etc using PyTorch and [gym](https://gym.openai.com/) use [pyfolio](https://github.com/quantopian/pyfolio) for showing backtesting stats. Big contributions on Proximal Policy Optimization (PPO) advantage actor critic (A2C) and Deep Deterministic Policy Gradient (DDPG) agents for trading,Deep Learning And Reinforcement Learning,2021-07-10 08:25:00,2267.0,597.0,24.0,2020-07-26 13:18:16,2021-07-06 18:19:04,AI4Finance-LLC/FinRL,active,5.0,3/31/21 8:00
rl_trading,https://github.com/ucaiado/rl_trading,NEW,Deep Learning And Reinforcement Learning,2021-05-25 06:17:53,212.0,92.0,1.0,2017-05-29 22:19:00,2017-08-29 14:54:50,ucaiado/rl_trading,inactive,,39:11.1
AutomatedStockTrading-DeepQ-Learning,https://github.com/sachink2010/AutomatedStockTrading-DeepQ-Learning,cornerstone project repo for Udacity nanodegree program [Become a machine learning engineer](https://www.udacity.com/course/machine-learning-engineer-nanodegree--nd009t) and focus on trading using deep q learning. Good explanation on design choices in the report,Deep Learning And Reinforcement Learning,2021-07-06 08:11:20,136.0,53.0,2.0,2019-02-23 12:01:21,2020-02-25 18:16:34,sachink2010/AutomatedStockTrading-DeepQ-Learning,active,3.0,3/31/21 8:00
Deep Learning III,https://github.com/Rachnog/Deep-Trading,Algorithmic trading with deep learning experiments.,Deep Learning And Reinforcement Learning,2021-07-08 02:35:42,1287.0,681.0,1.0,2016-06-18 18:23:06,2018-08-07 15:24:45,Rachnog/Deep-Trading,inactive,5.0,
tensortrade,https://github.com/tensortrade-org/tensortrade,NEW,Deep Learning And Reinforcement Learning,2021-07-11 01:12:02,3318.0,777.0,42.0,2019-07-30 21:28:32,2021-06-19 21:14:43,tensortrade-org/tensortrade,active,,39:11.1
Stock-Prediction-Models,https://github.com/huseinzol05/Stock-Prediction-Models,very good curated list of notebooks showing deep learning + reinforcement learning models. Also contain topics on outlier detections/overbought oversold study/monte carlo simulartions/sentiment analysis from text (text storage/parsing is not detailed but it mentioned using [BERT](https://github.com/google-research/bert)),Deep Learning And Reinforcement Learning,2021-07-10 15:55:44,4114.0,1692.0,2.0,2017-12-18 10:49:59,2021-01-05 10:31:50,huseinzol05/Stock-Prediction-Models,active,5.0,3/31/21 8:00
RL II,https://github.com/deependersingla/deep_trader,reinforcement learning on stock market and agent tries to learn trading.,Deep Learning And Reinforcement Learning,2021-07-08 02:35:53,1355.0,487.0,3.0,2016-06-11 07:27:10,2018-01-22 14:35:50,deependersingla/deep_trader,inactive,3.0,
Machine-Learning-and-Reinforcement-Learning-in-Finance,https://github.com/joelowj/Machine-Learning-and-Reinforcement-Learning-in-Finance,NEW,Deep Learning And Reinforcement Learning,2021-07-02 03:29:00,183.0,97.0,1.0,2018-06-26 04:30:08,2018-09-23 16:50:33,joelowj/Machine-Learning-and-Reinforcement-Learning-in-Finance,inactive,,39:11.1
Deep-Reinforcement-Stock-Trading,https://github.com/Albert-Z-Guo/Deep-Reinforcement-Stock-Trading,inspired by Q-trader a deep reinforcement learning repo for trading. Only 3 actions allowed (buy/hold/sell) and no transaction cost is implemented yet. Uses [empyrical](https://github.com/quantopian/empyrical) for portfolio stats,Deep Learning And Reinforcement Learning,2021-07-02 03:14:09,162.0,47.0,2.0,2019-05-19 22:20:05,2020-09-27 19:22:28,Albert-Z-Guo/Deep-Reinforcement-Stock-Trading,active,3.0,3/31/21 8:00
RL V,https://github.com/gstenger98/rl-finance,Building an Agent to Trade with Reinforcement Learning.,Deep Learning And Reinforcement Learning,2021-04-08 18:57:53,33.0,9.0,5.0,2019-01-16 00:43:36,2020-03-19 20:28:08,gstenger98/rl-finance,active,2.0,
FinRL,https://github.com/AI4Finance-LLC/FinRL,NEW,Deep Learning And Reinforcement Learning,2021-07-10 08:25:00,2267.0,597.0,24.0,2020-07-26 13:18:16,2021-07-06 18:19:04,AI4Finance-LLC/FinRL,active,,13:03.7
Deep Learning,https://github.com/keon/deepstock,Technical experimentations to beat the stock market using deep learning.,Deep Learning And Reinforcement Learning,2021-07-07 04:32:05,431.0,154.0,2.0,2016-12-12 02:15:12,2017-03-04 08:37:29,keon/deepstock,inactive,4.0,
Neural Network,https://github.com/VivekPa/IntroNeuralNetworks,Neural networks to predict stock prices.,Deep Learning And Reinforcement Learning,2021-07-09 18:35:20,516.0,178.0,2.0,2018-09-10 06:34:53,2018-11-21 07:39:31,VivekPa/IntroNeuralNetworks,inactive,4.0,
RL,https://github.com/kh-kim/stock_market_reinforcement_learning,OpenGym with Deep Q-learning and Policy Gradient.,Deep Learning And Reinforcement Learning,2021-07-08 02:35:48,729.0,304.0,1.0,2016-10-04 14:42:19,2016-12-23 07:34:08,kh-kim/stock_market_reinforcement_learning,inactive,2.0,
LTSM Recurrent,https://github.com/VivekPa/AIAlpha,OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network.,Deep Learning And Reinforcement Learning,2021-07-10 20:30:03,1257.0,387.0,2.0,2018-10-07 03:58:26,2019-08-03 09:00:44,VivekPa/AIAlpha,active,4.0,
Deep Learning IV,https://github.com/achillesrasquinha/bulbea,Bulbea: Deep Learning based Python Library.,Deep Learning And Reinforcement Learning,2021-07-10 16:44:05,1509.0,426.0,1.0,2017-03-09 06:11:06,2017-03-19 07:42:49,achillesrasquinha/bulbea,inactive,5.0,
RL IV,https://github.com/jjakimoto/DQN,Reinforcement Learning for finance.,Deep Learning And Reinforcement Learning,2021-05-31 10:06:44,143.0,55.0,1.0,2016-10-21 02:47:17,2017-04-07 08:11:57,jjakimoto/DQN,inactive,,
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,2021-07-11 00:45:10,1155.0,333.0,2.0,2018-03-10 11:22:00,2018-09-02 17:21:38,Ceruleanacg/Personae,inactive,5.0,3/31/21 8:00
gym-trading,https://github.com/hackthemarket/gym-trading,NEW,Deep Learning And Reinforcement Learning,2021-07-04 14:27:24,597.0,198.0,2.0,2016-12-09 20:46:19,2017-12-24 15:34:37,hackthemarket/gym-trading,inactive,,39:11.1
maro,https://github.com/microsoft/maro,NEW,Deep Learning And Reinforcement Learning,2021-07-09 10:53:31,444.0,82.0,19.0,2019-12-27 06:48:27,2021-07-09 10:53:21,microsoft/maro,active,,39:11.1
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,2021-07-10 20:50:44,1375.0,477.0,15.0,2019-04-27 18:35:15,2019-10-17 16:25:49,notadamking/RLTrader,active,5.0,3/31/21 8:00
Pair-Trading-Reinforcement-Learning,https://github.com/wai-i/Pair-Trading-Reinforcement-Learning,NEW,Deep Learning And Reinforcement Learning,2021-07-08 03:36:44,146.0,60.0,1.0,2019-06-09 22:50:37,2020-01-03 15:36:22,wai-i/Pair-Trading-Reinforcement-Learning,active,,39:11.1
ARIMA-LTSM Hybrid,https://github.com/imhgchoi/Corr_Prediction_ARIMA_LSTM_Hybrid,Hybrid model to predict future price correlation coefficients of two assets.,Deep Learning And Reinforcement Learning,2021-07-06 06:13:55,231.0,92.0,1.0,2018-08-05 02:13:21,2018-10-01 11:25:53,imhgchoi/ARIMA-LSTM-hybrid-corrcoef-predict,inactive,3.0,
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,2021-07-09 05:17:36,333.0,162.0,2.0,2019-02-16 21:18:00,2020-11-29 20:12:59,Rachnog/Advanced-Deep-Trading,active,3.0,3/31/21 8:00
RL III,https://github.com/samre12/deep-trading-agent,Github -Deep Reinforcement Learning based Trading Agent for Bitcoin.,Deep Learning And Reinforcement Learning,2021-07-09 03:11:12,600.0,204.0,1.0,2017-09-21 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,2021-06-25 07:52:45,182.0,38.0,2.0,2019-04-22 10:03:21,2020-09-28 09:07:18,Kostis-S-Z/trading-rl,active,3.0,3/31/21 8:00
Deep Learning II,https://github.com/LiamConnell/deep-algotrading/tree/master/notebooks,Tensorflow Regression.,Deep Learning And Reinforcement Learning,2021-06-24 15:46:03,179.0,68.0,1.0,2016-07-12 12:56:10,2018-02-16 02:43:36,LiamConnell/deep-algotrading,inactive,3.0,
TradingGym,https://github.com/Yvictor/TradingGym,NEW,Deep Learning And Reinforcement Learning,2021-07-10 15:30:40,890.0,245.0,2.0,2017-05-01 13:53:32,2018-02-14 13:58:18,Yvictor/TradingGym,inactive,,39:11.1
tf-quant-finance,https://github.com/google/tf-quant-finance,NEW,Derivatives and Hedging,2021-07-10 19:32:44,2698.0,361.0,30.0,2019-07-24 16:09:50,2021-07-09 13:39:43,google/tf-quant-finance,active,,23:51.4
openAlgo,https://github.com/mtompkins/openAlgo,NEW,Derivatives and Hedging,2021-06-27 23:37:44,165.0,82.0,2.0,2013-05-28 14:46:53,2017-03-24 20:00:24,mtompkins/openAlgo,inactive,,23:51.4
FinancePy,https://github.com/domokane/FinancePy,NEW,Derivatives and Hedging,2021-07-10 07:28:43,522.0,85.0,7.0,2019-10-27 15:04:56,2021-07-10 07:28:29,domokane/FinancePy,active,,23:51.4
wallstreet,https://github.com/mcdallas/wallstreet,NEW,Derivatives and Hedging,2021-07-11 00:45:02,607.0,133.0,3.0,2016-01-20 22:03:39,2021-07-09 21:03:50,mcdallas/wallstreet,active,,23:51.4
gs-quant,https://github.com/goldmansachs/gs-quant,NEW,Derivatives and Hedging,2021-07-08 04:30:53,666.0,196.0,13.0,2018-12-14 21:10:40,2021-07-01 12:01:31,goldmansachs/gs-quant,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,,
trade-frame,https://github.com/rburkholder/trade-frame,NEW,Derivatives and Hedging,2021-07-02 12:43:31,203.0,81.0,1.0,2016-07-24 15:25:30,2021-05-24 16:56:10,rburkholder/trade-frame,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,,,
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,,
QLNet,https://github.com/amaggiulli/QLNet,NEW,Derivatives and Hedging,2021-07-06 12:41:34,268.0,136.0,13.0,2013-08-22 14:51:43,2021-03-02 18:39:41,amaggiulli/QLNet,active,,23:51.4
StockSharp,https://github.com/StockSharp/StockSharp,NEW,Derivatives and Hedging,2021-07-10 22:53:10,4198.0,1290.0,17.0,2014-12-08 07:53:44,2021-07-08 12:35:34,StockSharp/StockSharp,active,,23:51.4
Strata,https://github.com/OpenGamma/Strata,NEW,Derivatives and Hedging,2021-07-08 17:18:23,625.0,223.0,43.0,2014-06-16 11:45:55,2021-07-08 17:18:18,OpenGamma/Strata,active,,23:51.4
Black Scholes,https://github.com/irajwani/numerical_methods_python/blob/master/black_scholes.ipynb,Options pricing.,Derivatives and Hedging,2020-10-06 20:36:29,1.0,2.0,0.0,2017-12-09 18:50:20,2018-07-09 09:48:36,irajwani/numerical_methods_python,inactive,,
Volatility and Variance Derivatives,https://github.com/yhilpisch/lvvd/tree/master/lvvd,Volatility derivatives analytics.,Derivatives and Hedging,2021-06-23 16:15:47,85.0,80.0,1.0,2016-10-21 04:12:50,2021-05-15 10:12:38,yhilpisch/lvvd,active,,
robin_stocks,https://github.com/jmfernandes/robin_stocks,NEW,Derivatives and Hedging,2021-07-10 22:03:32,1110.0,297.0,36.0,2018-02-23 00:49:37,2021-05-12 02:21:21,jmfernandes/robin_stocks,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,,
MarketAnalysis,https://github.com/Poseyy/MarketAnalysis,NEW,Derivatives and Hedging,2021-07-08 23:44:11,182.0,81.0,1.0,2019-03-28 19:46:34,2020-08-06 05:15:46,Poseyy/MarketAnalysis,active,,23:51.4
Derivatives Python,https://github.com/yhilpisch/dawp/tree/master/python36,Derivative analytics with Python.,Derivatives and Hedging,2021-07-10 11:54:36,408.0,307.0,1.0,2015-07-09 12:27:29,2021-02-22 13:29:18,yhilpisch/dawp,active,,
tai,https://github.com/fremantle-industries/tai,NEW,Derivatives and Hedging,2021-07-02 22:49:37,300.0,47.0,6.0,2017-07-28 03:07:18,2021-07-02 22:48:01,fremantle-industries/tai,active,,23:51.4
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,,
huobi_futures_Python,https://github.com/hbdmapi/huobi_futures_Python,NEW,Derivatives and Hedging,2021-07-08 10:38:22,199.0,93.0,2.0,2020-01-14 07:21:39,2021-06-25 01:29:01,hbdmapi/huobi_futures_Python,active,,23:51.4
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,2021-07-06 17:01:14,149.0,70.0,1.0,2018-05-11 00:52:14,2019-10-26 14:22:44,saeed349/Deep-Reinforcement-Learning-in-Trading,active,3.0,3/31/21 8:00
AI Trading,https://github.com/borisbanushev/stockpredictionai/blob/master/readme2.md,AI to predict stock market movements.,Deep Learning And Reinforcement Learning,2021-07-10 18:40:35,3018.0,1431.0,1.0,2019-01-09 08:02:47,2019-02-11 16:32:47,borisbanushev/stockpredictionai,inactive,5.0,
awesome-deep-trading,https://github.com/cbailes/awesome-deep-trading,curated list of papers/repos on topics like CNN/LSTM/GAN/Reinforcement Learning etc. Categorized as deep learning for now but there are other topics here. Manually maintained by cbailes,Deep Learning And Reinforcement Learning,2021-07-09 07:44:13,650.0,162.0,1.0,2018-11-26 03:23:04,2021-01-01 09:41:21,cbailes/awesome-deep-trading,active,4.0,3/31/21 8:00
DQN-DDPG_Stock_Trading,https://github.com/AI4Finance-LLC/DQN-DDPG_Stock_Trading,merged into FinRL library and uses [gym](https://gym.openai.com/) and implementation of DQN,Deep Learning And Reinforcement Learning,2021-07-08 22:10:47,151.0,56.0,4.0,2018-09-19 03:17:06,2020-11-26 16:58:00,AI4Finance-LLC/DQN-DDPG_Stock_Trading,active,3.0,3/31/21 8:00
fast_arrow,https://github.com/westonplatter/fast_arrow,NEW,Derivatives and Hedging,2021-07-07 06:07:15,127.0,41.0,5.0,2018-07-19 23:15:25,2020-04-18 18:05:37,westonplatter/fast_arrow,active,,23:51.4
quant-trading,https://github.com/je-suis-tm/quant-trading,NEW,Derivatives and Hedging,2021-07-10 16:06:20,2015.0,531.0,2.0,2018-04-03 14:08:14,2021-04-13 18:37:15,je-suis-tm/quant-trading,active,,23:51.4
tda-api,https://github.com/alexgolec/tda-api,NEW,Derivatives and Hedging,2021-07-08 20:52:30,742.0,193.0,17.0,2020-04-03 21:19:12,2021-06-28 16:25:32,alexgolec/tda-api,active,,23:51.4
@@ -191,220 +170,241 @@ optopsy,https://github.com/michaelchu/optopsy,NEW,Derivatives and Hedging,2021-0
akshare,https://github.com/jindaxiang/akshare,NEW,Derivatives and Hedging,2021-07-10 20:51:35,3715.0,771.0,14.0,2019-10-01 07:34:12,2021-07-10 10:41:58,jindaxiang/akshare,active,,23:51.4
Options,https://github.com/QuantConnect/Tutorials/tree/master/06%20Introduction%20to%20Options%5B%5D,Introduction to options.,Derivatives and Hedging,2021-07-07 02:46:26,362.0,170.0,35.0,2017-07-28 15:48:29,2021-03-17 17:17:08,QuantConnect/Tutorials,active,,
trading-server,https://github.com/s-brez/trading-server,NEW,Derivatives and Hedging,2021-07-10 15:16:19,273.0,61.0,2.0,2019-03-05 03:06:19,2021-03-08 02:37:08,s-brez/trading-server,active,,23:51.4
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,,
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,2021-07-02 18:32:59,249.0,43.0,1.0,2020-12-09 04:51:20,2021-07-02 18:32:55,yugedata/Options_Data_Science,active,,23:51.4
algotrader,https://github.com/torreyleonard/algotrader,NEW,Derivatives and Hedging,2021-07-08 03:21:30,495.0,107.0,12.0,2018-04-10 02:31:26,2020-08-27 08:16:44,torreyleonard/algotrader,active,,23:51.4
AlgorithmicTrading,https://github.com/JerBouma/AlgorithmicTrading,NEW,Derivatives and Hedging,2021-07-07 13:19:40,202.0,60.0,1.0,2019-03-14 09:33:37,2021-02-03 22:29:07,JerBouma/AlgorithmicTrading,active,,23:51.4
paperbroker,https://github.com/philipodonnell/paperbroker,NEW,Derivatives and Hedging,2021-07-01 14:26:27,183.0,52.0,3.0,2017-07-06 02:04:51,2018-04-08 18:37:57,philipodonnell/paperbroker,inactive,,23:51.4
Option Strategies,https://github.com/rstreppa/valuation-OptionStrategies,"Valuation of Vanilla and Exotic option strategies (Butterfly, Risk Reversal etc.) with widget animations.",Derivatives and Hedging,2021-06-15 21:43:59,3.0,3.0,1.0,2018-05-22 18:27:26,2018-05-22 18:30:24,rstreppa/valuation-OptionStrategies,inactive,,
Options-Trading-Strategies-in-Python,https://github.com/PyPatel/Options-Trading-Strategies-in-Python,NEW,Derivatives and Hedging,2021-07-02 14:55:44,348.0,139.0,1.0,2017-08-30 06:00:15,2019-08-21 15:47:57,PyPatel/Options-Trading-Strategies-in-Python,active,,23:51.4
stocktrends,https://github.com/ChillarAnand/stocktrends,NEW,Derivatives and Hedging,2021-07-10 13:45:45,108.0,37.0,1.0,2018-02-06 12:56:48,2021-06-09 03:20:10,ChillarAnand/stocktrends,active,,2021-07-07 01:48:02.687855
AlgorithmicTrading,https://github.com/JerBouma/AlgorithmicTrading,NEW,Derivatives and Hedging,2021-07-07 13:19:40,202.0,60.0,1.0,2019-03-14 09:33:37,2021-02-03 22:29:07,JerBouma/AlgorithmicTrading,active,,23:51.4
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
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,,
tectonicdb,https://github.com/0b01/tectonicdb,NEW,Extended Research,2021-07-10 06:07:30,353.0,57.0,10.0,2017-10-03 00:34:01,2020-09-08 23:02:20,0b01/tectonicdb,active,,2021-04-21 01:25:51.827641
roq-samples,https://github.com/roq-trading/roq-samples,NEW,Extended Research,2021-07-11 01:13:46,68.0,25.0,3.0,2018-03-27 04:19:09,2021-07-06 12:19:40,roq-trading/roq-samples,active,,2021-05-05 01:50:21.293278
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,,
go-quantcup,https://github.com/rdingwall/go-quantcup,NEW,Extended Research,2021-06-30 09:37:46,75.0,36.0,1.0,2015-02-04 10:33:12,2015-06-11 12:50:09,rdingwall/go-quantcup,inactive,,2021-04-21 01:25:51.827641
PE-HFT-Python,https://github.com/PortfolioEffect/PE-HFT-Python,NEW,Extended Research,2021-06-18 07:24:56,50.0,37.0,2.0,2015-11-11 00:58:39,2017-08-08 02:06:15,PortfolioEffect/PE-HFT-Python,inactive,,2021-07-07 01:48:46.755450
HFT-Orderbook,https://github.com/Crypto-toolbox/HFT-Orderbook,NEW,Extended Research,2021-07-09 20:17:20,448.0,154.0,4.0,2017-07-26 08:42:19,2018-08-24 13:35:39,Crypto-toolbox/HFT-Orderbook,inactive,,2021-04-21 01:25:51.827641
kafka-fraud-detector,https://github.com/florimondmanca/kafka-fraud-detector,NEW,Extended Research,2021-07-10 14:11:32,62.0,47.0,3.0,2018-09-13 17:36:49,2019-04-29 22:04:23,florimondmanca/kafka-fraud-detector,inactive,,2021-04-21 01:25:51.827641
algo-trader-tool-suite,https://github.com/K0414/algo-trader-tool-suite,NEW,Extended Research,2021-07-02 17:04:00,59.0,51.0,1.0,2013-10-24 14:57:12,2013-10-24 15:01:56,K0414/algo-trader-tool-suite,inactive,,2021-04-21 01:25:51.827641
OpenHFT,https://github.com/OpenHFT/OpenHFT,NEW,Extended Research,2021-07-09 21:49:32,488.0,154.0,33.0,2013-12-26 10:22:00,2021-07-09 13:40:59,OpenHFT/OpenHFT,active,,2021-04-21 01:25:51.827641
DGFraud,https://github.com/safe-graph/DGFraud,NEW,Extended Research,2021-07-08 16:57:31,330.0,91.0,4.0,2019-11-22 14:02:36,2021-05-27 21:12:27,safe-graph/DGFraud,active,,2021-04-21 01:25:51.827641
example-hftish,https://github.com/alpacahq/example-hftish,NEW,Extended Research,2021-07-09 23:33:18,408.0,171.0,3.0,2019-01-25 14:56:38,2019-10-25 02:16:27,alpacahq/example-hftish,active,,2021-04-21 01:25:51.827641
hummingbot_chinese,https://github.com/CoinAlpha/hummingbot_chinese,NEW,Extended Research,2021-07-06 00:56:09,183.0,33.0,5.0,2019-06-05 22:53:04,2021-06-10 16:41:21,CoinAlpha/hummingbot_chinese,active,,2021-04-21 01:25:51.827641
Coiner,https://github.com/jihoonerd/Coiner,NEW,Extended Research,2021-04-07 16:15:41,50.0,20.0,1.0,2017-09-26 04:14:36,2018-01-01 13:13:21,jihoonerd/Coiner,inactive,,2021-04-21 01:25:51.827641
Bayesian Finance I,https://github.com/AlexIoannides/pymc-stochastic-process/blob/master/bayes_stoch_proc_calib.ipynb,Stochastic Process Calibration using Bayesian Inference & Probabilistic Programs.,Extended Research,2021-05-18 12:27:07,27.0,6.0,0.0,2019-01-04 12:30:41,2019-02-18 09:55:21,AlexIoannides/pymc-stochastic-process,inactive,,
Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras,https://github.com/curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras,NEW,Extended Research,2021-07-04 05:21:30,349.0,237.0,1.0,2017-06-09 13:58:13,2019-06-28 09:27:45,curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras,inactive,,2021-04-21 01:25:51.827641
hft,https://github.com/nickhuangxinyu/hft,NEW,Extended Research,2021-07-10 17:21:03,173.0,90.0,2.0,2019-03-12 14:57:01,2021-05-07 04:09:18,nickhuangxinyu/hft,active,,2021-04-21 01:25:51.827641
Bayesian Finance,https://github.com/marketneutral/alphatools/blob/master/notebooks/pymc3-minimal.ipynb,Notebook PyMC3 implementation.,Extended Research,2021-07-09 18:36:09,255.0,59.0,1.0,2018-08-28 14:45:00,2020-08-06 22:03:47,marketneutral/alphatools,active,,
Economic Foundations,https://github.com/SeanMcOwen/FinanceAndPython.com-EconomicFoundations,Basic economic models.,Extended Research,2020-10-06 21:01:59,2.0,4.0,1.0,2017-05-25 02:27:36,2017-06-30 03:53:59,SeanMcOwen/FinanceAndPython.com-EconomicFoundations,inactive,,
HFT,https://github.com/rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy,High frequency trading.,Extended Research,2021-07-10 07:22:16,803.0,346.0,1.0,2016-07-21 05:14:14,2017-02-14 16:47:25,rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy,inactive,,
HFT-CNN,https://github.com/ShimShim46/HFT-CNN,NEW,Extended Research,2021-05-24 06:03:42,73.0,19.0,1.0,2018-08-18 06:39:32,2018-11-09 02:29:00,ShimShim46/HFT-CNN,inactive,,2021-04-21 01:25:51.827641
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,,
MStream,https://github.com/Stream-AD/MStream,NEW,Extended Research,2021-07-12 20:10:56,53.0,14.0,4.0,2019-12-09 09:12:54,2021-04-11 02:20:30,Stream-AD/MStream,active,,2021-07-14 01:45:09.733861
freqtrade_bot,https://github.com/michael-fourie/freqtrade_bot,NEW,Extended Research,2021-07-04 08:41:14,71.0,25.0,1.0,2020-12-21 00:14:25,2021-01-07 19:52:54,michael-fourie/freqtrade_bot,active,,2021-04-21 01:25:51.827641
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
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,,
2018-Kaggle-AdTrackingFraud,https://github.com/ShawnyXiao/2018-Kaggle-AdTrackingFraud,NEW,Extended Research,2021-07-04 19:51:19,73.0,23.0,1.0,2018-05-08 09:29:46,2019-01-12 07:57:33,ShawnyXiao/2018-Kaggle-AdTrackingFraud,inactive,,2021-04-21 01:25:51.827641
kungfu,https://github.com/kungfu-origin/kungfu,NEW,Extended Research,2021-07-10 17:52:00,2393.0,874.0,7.0,2017-11-15 06:54:01,2020-06-03 12:04:41,kungfu-origin/kungfu,active,,2021-04-21 01:25:51.827641
fraud-detection-demo,https://github.com/afedulov/fraud-detection-demo,NEW,Extended Research,2021-07-07 10:29:53,186.0,77.0,2.0,2019-11-04 09:23:17,2021-01-05 19:28:04,afedulov/fraud-detection-demo,active,,2021-04-21 01:25:51.827641
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,,
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,,
Backtests,https://github.com/AlgoTraders/stock-analysis-engine,Trading data and algorithms.,Extended Research,2021-07-10 15:56:27,672.0,183.0,3.0,2018-09-16 20:00:36,2020-09-05 13:01:05,AlgoTraders/stock-analysis-engine,active,,
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,,,
NLP Finance Papers,https://github.com/chenbowen184/Research_Documents_Curation_with_NLP,Curating quantitative finance papers using machine learning.,Extended Research,2021-02-27 06:33:23,8.0,10.0,1.0,2018-10-11 20:32:37,2018-12-24 23:27:55,chen-bowen/Research_Documents_Curation_with_NLP,inactive,,
High Frequency,https://github.com/cswaney/prickle,A Python toolkit for high-frequency trade research.,Extended Research,2021-07-03 10:29:12,27.0,17.0,2.0,2016-07-06 20:32:21,2018-06-09 10:53:51,cswaney/prickle,inactive,,
A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market,https://github.com/SheikhRabiul/A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market,NEW,Extended Research,2021-06-12 08:04:27,52.0,21.0,1.0,2017-11-27 06:37:43,2019-01-08 18:13:34,SheikhRabiul/A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market,inactive,,2021-04-21 01:25:51.827641
ReactiveTraderCloud,https://github.com/AdaptiveConsulting/ReactiveTraderCloud,NEW,Extended Research,2021-07-10 15:49:07,1605.0,508.0,81.0,2015-11-13 19:24:11,2021-06-24 08:10:33,AdaptiveConsulting/ReactiveTraderCloud,active,,2021-04-21 01:25:51.827641
SumZeroTrading,https://github.com/rterp/SumZeroTrading,NEW,Extended Research,2021-07-07 19:06:31,131.0,44.0,1.0,2016-01-19 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,2021-07-09 13:44:22,617.0,72.0,3.0,2019-10-23 03:50:50,2021-06-08 08:19:24,Stream-AD/MIDAS,active,,2021-04-21 01:25:51.827641
Deep Portfolio,https://github.com/DLColumbia/DL_forFinance,Deep learning for finance Predict volume of bonds.,Extended Research,2021-01-12 11:48:27,27.0,20.0,2.0,2018-05-08 19:34:17,2018-05-09 15:39:25,DLColumbia/DL_forFinance,inactive,,
Commodity,https://github.com/felipessalvatore/fin2vec/blob/master/src/Commodity2BR.ipynb,Commodity influence over Brazilian stocks.,Extended Research,,,,,,,felipessalvatore/fin2vec,,,
Mathematical Finance,https://github.com/Auquan/Tutorials,Notebooks for math and financial tutorials.,Extended Research,2021-07-08 14:25:43,693.0,455.0,9.0,2017-01-21 11:24:18,2020-08-01 17:03:32,Auquan/Tutorials,active,,
tribeca,https://github.com/michaelgrosner/tribeca,NEW,Extended Research,2021-07-10 22:16:31,3560.0,897.0,22.0,2015-07-07 18:40:45,2018-02-26 18:01:13,michaelgrosner/tribeca,inactive,,2021-04-21 01:25:51.827641
Currency PCA,https://github.com/shanemulqueen/python-finance-pca/blob/master/FX_spots_w_PCA.ipynb,Forex spots PCA.,Extended Research,2020-10-26 00:55:20,3.0,1.0,1.0,2019-03-12 21:11:29,2019-03-12 22:09:10,shanemulqueen/python-finance-pca,inactive,,
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,2021-07-08 07:00:53,69.0,46.0,4.0,2018-04-14 21:19:21,2018-06-10 09:29:37,HujiaYuYoyo/448Project,inactive,,2021-04-21 01:25:51.827641
spartan,https://github.com/rigtorp/spartan,NEW,Extended Research,2021-07-09 21:49:10,170.0,62.0,1.0,2012-11-22 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,2021-07-10 16:29:42,320.0,128.0,16.0,2013-03-17 10:00:22,2021-03-13 21:37:31,finmath/finmath-lib,active,,2021-04-21 01:25:51.827641
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,,
fraud-detection-using-machine-learning,https://github.com/awslabs/fraud-detection-using-machine-learning,NEW,Extended Research,2021-07-09 04:00:19,102.0,63.0,6.0,2019-05-17 17:12:46,2021-06-09 19:03:19,awslabs/fraud-detection-using-machine-learning,active,,2021-04-21 01:25:51.827641
Financial-Formulas-Library-.NET-Standard,https://github.com/srbrettle/Financial-Formulas-Library-.NET-Standard,NEW,Extended Research,2021-06-25 20:14:51,115.0,34.0,2.0,2018-09-01 17:43:37,2019-11-22 12:50:30,srbrettle/Financial-Formulas-Library-.NET-Standard,active,,2021-04-21 01:25:51.827641
Q-Fin,https://github.com/RomanMichaelPaolucci/Q-Fin,NEW,Extended Research,2021-07-02 16:52:05,53.0,8.0,1.0,2021-04-21 13:29:51,2021-06-07 16:23:33,RomanMichaelPaolucci/Q-Fin,active,,2021-06-02 04:27:12.212333
getIPIntel,https://github.com/blackdotsh/getIPIntel,NEW,Extended Research,2021-06-10 08:40:37,155.0,33.0,4.0,2015-10-02 21:40:50,2021-01-24 01:09:18,blackdotsh/getIPIntel,active,,2021-04-21 01:25:51.827641
neural-finance,https://github.com/Metnew/neural-finance,NEW,Extended Research,2021-04-13 10:50:40,64.0,28.0,1.0,2016-12-30 17:14:13,2017-06-26 22:42:06,Metnew/neural-finance,inactive,,2021-04-21 01:25:51.827641
wattnet-fx-trading,https://github.com/Zymrael/wattnet-fx-trading,NEW,Extended Research,2021-06-23 09:21:35,62.0,12.0,1.0,2019-09-13 08:44:27,2020-08-19 05:49:12,Zymrael/wattnet-fx-trading,active,,2021-04-21 01:25:51.827641
algotrading,https://github.com/ivopetiz/algotrading,NEW,Extended Research,2021-07-11 00:13:17,359.0,87.0,3.0,2018-07-10 22:10:41,2021-06-30 19:46:41,ivopetiz/algotrading,active,,2021-04-21 01:25:51.827641
FX-1-Minute-Data,https://github.com/philipperemy/FX-1-Minute-Data,NEW,Extended Research,2021-07-06 08:59:00,290.0,113.0,4.0,2017-05-22 03:24:35,2021-06-15 09:06:46,philipperemy/FX-1-Minute-Data,active,,2021-04-21 01:25:51.827641
FX-Trading-with-Python-and-Oanda,https://github.com/anthonyng2/FX-Trading-with-Python-and-Oanda,NEW,Extended Research,2021-02-20 20:49:53,57.0,43.0,1.0,2017-02-23 07:48:12,2017-08-14 03:21:30,anthonyng2/FX-Trading-with-Python-and-Oanda,inactive,,2021-04-21 01:25:51.827641
Fraud_Detection_Techniques,https://github.com/wmlba/Fraud_Detection_Techniques,NEW,Extended Research,2021-07-02 02:41:32,63.0,35.0,1.0,2019-02-14 02:27:13,2020-06-14 23:36:47,wmlba/Fraud_Detection_Techniques,active,,2021-04-21 01:25:51.827641
Fraud-detection-using-deep-learning,https://github.com/aaxwaz/Fraud-detection-using-deep-learning,NEW,Extended Research,2021-06-20 02:23:38,105.0,55.0,1.0,2017-06-18 12:35:24,2017-12-06 13:51:54,aaxwaz/Fraud-detection-using-deep-learning,inactive,,2021-04-21 01:25:51.827641
Applied Corporate Finance,https://github.com/chenbowen184/Data_Science_in_Applied_Corporate_Finance,Studies the empirical behaviours in stock market.,Extended Research,2021-07-02 01:10:03,10.0,10.0,1.0,2018-01-29 05:14:52,2018-07-19 06:25:36,chen-bowen/Data_Science_in_Applied_Corporate_Finance,inactive,,
wtpy,https://github.com/wondertrader/wtpy,NEW,Extended Research,2021-07-08 11:00:14,73.0,22.0,1.0,2020-06-18 01:43:25,2021-05-25 12:29:32,wondertrader/wtpy,active,,2021-04-21 01:25:51.827641
High-Frequency-Trading-Model-with-IB,https://github.com/jamesmawm/High-Frequency-Trading-Model-with-IB,NEW,Extended Research,2021-07-10 08:24:49,1872.0,551.0,2.0,2014-05-18 19:20:13,2019-06-21 14:58:07,jamesmawm/High-Frequency-Trading-Model-with-IB,inactive,,2021-04-21 01:25:51.827641
FraudDetection-Microservices,https://github.com/melofred/FraudDetection-Microservices,NEW,Extended Research,2021-02-16 00:13:03,85.0,50.0,1.0,2016-06-08 23:24:21,2017-01-18 17:52:01,melofred/FraudDetection-Microservices,inactive,,2021-04-21 01:25:51.827641
StockPredictionRNN,https://github.com/dzitkowskik/StockPredictionRNN,NEW,Extended Research,2021-07-07 11:05:34,509.0,216.0,2.0,2015-11-26 19:00:35,2016-05-21 15:51:22,dzitkowskik/StockPredictionRNN,inactive,,2021-04-21 01:25:51.827641
huobi_futures_Python,https://github.com/hbdmapi/huobi_futures_Python,NEW,Derivatives and Hedging,2021-07-08 10:38:22,199.0,93.0,2.0,2020-01-14 07:21:39,2021-06-25 01:29:01,hbdmapi/huobi_futures_Python,active,,23:51.4
Reinforcement Learning,https://github.com/FinTechies/HedgingRL,Hedging portfolios with reinforcement learning.,Derivatives and Hedging,2021-01-20 08:12:13,16.0,10.0,1.0,2017-04-21 10:58:56,2017-08-02 21:41:06,FinTechies/HedgingRL,inactive,,
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,,
algotrader,https://github.com/torreyleonard/algotrader,NEW,Derivatives and Hedging,2021-07-08 03:21:30,495.0,107.0,12.0,2018-04-10 02:31:26,2020-08-27 08:16:44,torreyleonard/algotrader,active,,23:51.4
Derivatives Python,https://github.com/yhilpisch/dawp/tree/master/python36,Derivative analytics with Python.,Derivatives and Hedging,2021-07-10 11:54:36,408.0,307.0,1.0,2015-07-09 12:27:29,2021-02-22 13:29:18,yhilpisch/dawp,active,,
tai,https://github.com/fremantle-industries/tai,NEW,Derivatives and Hedging,2021-07-02 22:49:37,300.0,47.0,6.0,2017-07-28 03:07:18,2021-07-02 22:48:01,fremantle-industries/tai,active,,23:51.4
tf-quant-finance,https://github.com/google/tf-quant-finance,NEW,Derivatives and Hedging,2021-07-10 19:32:44,2698.0,361.0,30.0,2019-07-24 16:09:50,2021-07-09 13:39:43,google/tf-quant-finance,active,,23:51.4
openAlgo,https://github.com/mtompkins/openAlgo,NEW,Derivatives and Hedging,2021-06-27 23:37:44,165.0,82.0,2.0,2013-05-28 14:46:53,2017-03-24 20:00:24,mtompkins/openAlgo,inactive,,23:51.4
FinancePy,https://github.com/domokane/FinancePy,NEW,Derivatives and Hedging,2021-07-10 07:28:43,522.0,85.0,7.0,2019-10-27 15:04:56,2021-07-10 07:28:29,domokane/FinancePy,active,,23:51.4
gs-quant,https://github.com/goldmansachs/gs-quant,NEW,Derivatives and Hedging,2021-07-08 04:30:53,666.0,196.0,13.0,2018-12-14 21:10:40,2021-07-01 12:01:31,goldmansachs/gs-quant,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,,
trade-frame,https://github.com/rburkholder/trade-frame,NEW,Derivatives and Hedging,2021-07-02 12:43:31,203.0,81.0,1.0,2016-07-24 15:25:30,2021-05-24 16:56:10,rburkholder/trade-frame,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,,,
wallstreet,https://github.com/mcdallas/wallstreet,NEW,Derivatives and Hedging,2021-07-11 00:45:02,607.0,133.0,3.0,2016-01-20 22:03:39,2021-07-09 21:03:50,mcdallas/wallstreet,active,,23:51.4
QLNet,https://github.com/amaggiulli/QLNet,NEW,Derivatives and Hedging,2021-07-06 12:41:34,268.0,136.0,13.0,2013-08-22 14:51:43,2021-03-02 18:39:41,amaggiulli/QLNet,active,,23:51.4
StockSharp,https://github.com/StockSharp/StockSharp,NEW,Derivatives and Hedging,2021-07-10 22:53:10,4198.0,1290.0,17.0,2014-12-08 07:53:44,2021-07-08 12:35:34,StockSharp/StockSharp,active,,23:51.4
Strata,https://github.com/OpenGamma/Strata,NEW,Derivatives and Hedging,2021-07-08 17:18:23,625.0,223.0,43.0,2014-06-16 11:45:55,2021-07-08 17:18:18,OpenGamma/Strata,active,,23:51.4
Black Scholes,https://github.com/irajwani/numerical_methods_python/blob/master/black_scholes.ipynb,Options pricing.,Derivatives and Hedging,2020-10-06 20:36:29,1.0,2.0,0.0,2017-12-09 18:50:20,2018-07-09 09:48:36,irajwani/numerical_methods_python,inactive,,
Volatility and Variance Derivatives,https://github.com/yhilpisch/lvvd/tree/master/lvvd,Volatility derivatives analytics.,Derivatives and Hedging,2021-06-23 16:15:47,85.0,80.0,1.0,2016-10-21 04:12:50,2021-05-15 10:12:38,yhilpisch/lvvd,active,,
robin_stocks,https://github.com/jmfernandes/robin_stocks,NEW,Derivatives and Hedging,2021-07-10 22:03:32,1110.0,297.0,36.0,2018-02-23 00:49:37,2021-05-12 02:21:21,jmfernandes/robin_stocks,active,,23:51.4
Derivative Markets,https://github.com/broughtj/Fin6470/tree/master/Notebooks,"The economics of futures, futures, options, and swaps.",Derivatives and Hedging,2021-04-15 16:03:10,8.0,8.0,1.0,2016-02-09 05:30:27,2021-04-15 16:02:59,broughtj/Fin6470,active,,
Computational Derivatives,https://github.com/chenbowen184/Computational_Finance,Projects focusing on investigating simulations and computational techniques applied in finance.,Derivatives and Hedging,2021-05-18 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,2021-07-08 23:44:11,182.0,81.0,1.0,2019-03-28 19:46:34,2020-08-06 05:15:46,Poseyy/MarketAnalysis,active,,23:51.4
Financial Economics,https://github.com/rsvp/fecon235/tree/master/nb,Financial Economics Models.,Extended Research,2021-06-30 19:22:45,726.0,282.0,2.0,2014-11-09 04:49:01,2018-12-03 16:30:28,rsvp/fecon235,inactive,,
Avellaneda-Stoikov,https://github.com/mdibo/Avellaneda-Stoikov,NEW,Extended Research,2021-07-09 08:25:55,54.0,44.0,1.0,2017-10-16 03:36:34,2020-05-09 23:35:08,mdibo/Avellaneda-Stoikov,active,,2021-06-02 04:27:12.212333
Fraud_Detector,https://github.com/kskk02/Fraud_Detector,NEW,Extended Research,2021-07-09 14:47:12,59.0,36.0,1.0,2014-07-03 20:52:51,2015-01-15 22:03:04,kskk02/Fraud_Detector,inactive,,2021-04-21 01:25:51.827641
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,,
fx_systrade,https://github.com/ryogrid/fx_systrade,NEW,Extended Research,2021-07-08 11:51:35,82.0,29.0,2.0,2015-07-24 11:46:28,2020-10-23 10:17:01,ryogrid/fx_systrade,active,,2021-04-21 01:25:51.827641
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
UGFraud,https://github.com/safe-graph/UGFraud,NEW,Extended Research,2021-07-06 09:15:12,62.0,16.0,2.0,2020-06-01 22:34:14,2021-04-11 19:01:44,safe-graph/UGFraud,active,,2021-05-26 02:41:08.838631
fx_systrade,https://github.com/ryogrid/fx_systrade,NEW,Extended Research,2021-07-08 11:51:35,82.0,29.0,2.0,2015-07-24 11:46:28,2020-10-23 10:17:01,ryogrid/fx_systrade,active,,2021-04-21 01:25:51.827641
graph-fraud-detection-papers,https://github.com/safe-graph/graph-fraud-detection-papers,NEW,Extended Research,2021-07-08 04:33:26,412.0,75.0,2.0,2019-11-21 05:39:23,2021-07-08 04:33:24,safe-graph/graph-fraud-detection-papers,active,,2021-04-21 01:25:51.827641
StockPredictionRNN,https://github.com/dzitkowskik/StockPredictionRNN,NEW,Extended Research,2021-07-07 11:05:34,509.0,216.0,2.0,2015-11-26 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,,
FraudDetection-Microservices,https://github.com/melofred/FraudDetection-Microservices,NEW,Extended Research,2021-02-16 00:13:03,85.0,50.0,1.0,2016-06-08 23:24:21,2017-01-18 17:52:01,melofred/FraudDetection-Microservices,inactive,,2021-04-21 01:25:51.827641
wattnet-fx-trading,https://github.com/Zymrael/wattnet-fx-trading,NEW,Extended Research,2021-06-23 09:21:35,62.0,12.0,1.0,2019-09-13 08:44:27,2020-08-19 05:49:12,Zymrael/wattnet-fx-trading,active,,2021-04-21 01:25:51.827641
wtpy,https://github.com/wondertrader/wtpy,NEW,Extended Research,2021-07-08 11:00:14,73.0,22.0,1.0,2020-06-18 01:43:25,2021-05-25 12:29:32,wondertrader/wtpy,active,,2021-04-21 01:25:51.827641
Applied Corporate Finance,https://github.com/chenbowen184/Data_Science_in_Applied_Corporate_Finance,Studies the empirical behaviours in stock market.,Extended Research,2021-07-02 01:10:03,10.0,10.0,1.0,2018-01-29 05:14:52,2018-07-19 06:25:36,chen-bowen/Data_Science_in_Applied_Corporate_Finance,inactive,,
Fraud-detection-using-deep-learning,https://github.com/aaxwaz/Fraud-detection-using-deep-learning,NEW,Extended Research,2021-06-20 02:23:38,105.0,55.0,1.0,2017-06-18 12:35:24,2017-12-06 13:51:54,aaxwaz/Fraud-detection-using-deep-learning,inactive,,2021-04-21 01:25:51.827641
Fraud_Detection_Techniques,https://github.com/wmlba/Fraud_Detection_Techniques,NEW,Extended Research,2021-07-02 02:41:32,63.0,35.0,1.0,2019-02-14 02:27:13,2020-06-14 23:36:47,wmlba/Fraud_Detection_Techniques,active,,2021-04-21 01:25:51.827641
FX-Trading-with-Python-and-Oanda,https://github.com/anthonyng2/FX-Trading-with-Python-and-Oanda,NEW,Extended Research,2021-02-20 20:49:53,57.0,43.0,1.0,2017-02-23 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,2021-07-06 08:59:00,290.0,113.0,4.0,2017-05-22 03:24:35,2021-06-15 09:06:46,philipperemy/FX-1-Minute-Data,active,,2021-04-21 01:25:51.827641
algotrading,https://github.com/ivopetiz/algotrading,NEW,Extended Research,2021-07-11 00:13:17,359.0,87.0,3.0,2018-07-10 22:10:41,2021-06-30 19:46:41,ivopetiz/algotrading,active,,2021-04-21 01:25:51.827641
ITCH,https://github.com/martinobdl/ITCH,NEW,Extended Research,2021-07-03 09:04:12,73.0,28.0,3.0,2019-03-09 18:20:12,2020-07-25 10:24:10,martinobdl/ITCH,active,,2021-04-21 01:25:51.827641
neural-finance,https://github.com/Metnew/neural-finance,NEW,Extended Research,2021-04-13 10:50:40,64.0,28.0,1.0,2016-12-30 17:14:13,2017-06-26 22:42:06,Metnew/neural-finance,inactive,,2021-04-21 01:25:51.827641
getIPIntel,https://github.com/blackdotsh/getIPIntel,NEW,Extended Research,2021-06-10 08:40:37,155.0,33.0,4.0,2015-10-02 21:40:50,2021-01-24 01:09:18,blackdotsh/getIPIntel,active,,2021-04-21 01:25:51.827641
Q-Fin,https://github.com/RomanMichaelPaolucci/Q-Fin,NEW,Extended Research,2021-07-02 16:52:05,53.0,8.0,1.0,2021-04-21 13:29:51,2021-06-07 16:23:33,RomanMichaelPaolucci/Q-Fin,active,,2021-06-02 04:27:12.212333
High-Frequency-Trading-Model-with-IB,https://github.com/jamesmawm/High-Frequency-Trading-Model-with-IB,NEW,Extended Research,2021-07-10 08:24:49,1872.0,551.0,2.0,2014-05-18 19:20:13,2019-06-21 14:58:07,jamesmawm/High-Frequency-Trading-Model-with-IB,inactive,,2021-04-21 01:25:51.827641
tradingrrl,https://github.com/darden1/tradingrrl,NEW,Extended Research,2021-06-24 14:28:41,59.0,34.0,1.0,2017-03-05 07:20:56,2018-11-14 13:19:52,darden1/tradingrrl,inactive,,2021-04-21 01:25:51.827641
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
fingerprintjs,https://github.com/fingerprintjs/fingerprintjs,NEW,Extended Research,2021-07-11 00:27:44,14086.0,1663.0,68.0,2015-02-11 08:49:54,2021-07-07 09:35:32,fingerprintjs/fingerprintjs,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
fraud-detection,https://github.com/yazanobeidi/fraud-detection,NEW,Extended Research,2021-07-02 16:08:52,61.0,34.0,1.0,2017-08-04 15:03:47,2017-08-05 15:38:45,yazanobeidi/fraud-detection,inactive,,2021-04-21 01:25:51.827641
math-php,https://github.com/markrogoyski/math-php,NEW,Extended Research,2021-07-07 05:37:17,1926.0,202.0,17.0,2016-04-03 17:57:14,2021-07-07 05:36:35,markrogoyski/math-php,active,,2021-04-21 01:25:51.827641
math-finance-cheat-sheet,https://github.com/daleroberts/math-finance-cheat-sheet,NEW,Extended Research,2021-07-09 15:56:25,192.0,30.0,1.0,2014-05-02 00:19:01,2016-11-16 05:57:09,daleroberts/math-finance-cheat-sheet,inactive,,2021-04-21 01:25:51.827641
Krypto-trading-bot,https://github.com/ctubio/Krypto-trading-bot,NEW,Extended Research,2021-07-10 16:44:48,2322.0,626.0,49.0,2017-06-13 20:15:54,2021-07-10 16:26:38,ctubio/Krypto-trading-bot,active,,2021-04-21 01:25:51.827641
HFT_Bitcoin,https://github.com/ghgr/HFT_Bitcoin,NEW,Extended Research,2021-05-07 12:27:55,72.0,24.0,1.0,2017-07-27 07:11:48,2017-08-21 14:50:35,ghgr/HFT_Bitcoin,inactive,,2021-04-21 01:25:51.827641
wondertrader,https://github.com/wondertrader/wondertrader,NEW,Extended Research,2021-07-09 03:50:45,293.0,77.0,2.0,2020-03-30 05:43:52,2021-05-24 06:04:06,wondertrader/wondertrader,active,,2021-04-21 01:25:51.827641
awesome-fraud-detection-papers,https://github.com/benedekrozemberczki/awesome-fraud-detection-papers,NEW,Extended Research,2021-07-08 14:00:38,902.0,193.0,4.0,2019-05-27 10:23:22,2021-06-24 09:26:19,benedekrozemberczki/awesome-fraud-detection-papers,active,,2021-04-21 01:25:51.827641
system,https://github.com/BillRun/system,NEW,Extended Research,2021-05-26 10:11:38,86.0,54.0,8.0,2013-04-11 16:14:53,2020-07-02 15:32:31,BillRun/system,active,,2021-04-21 01:25:51.827641
fecon236,https://github.com/MathSci/fecon236,NEW,Extended Research,2021-06-01 06:28:35,78.0,44.0,2.0,2018-04-05 19:34:51,2019-01-11 08:07:56,MathSci/fecon236,inactive,,2021-04-21 01:25:51.827641
InteractiveBrokers-Algo-System,https://github.com/rediar/InteractiveBrokers-Algo-System,NEW,Extended Research,2021-06-29 21:47:08,157.0,66.0,1.0,2018-01-21 03:09:41,2018-10-25 02:56:15,rediar/InteractiveBrokers-Algo-System,inactive,,2021-04-21 01:25:51.827641
roq-api,https://github.com/roq-trading/roq-api,NEW,Extended Research,2021-07-11 01:13:26,164.0,50.0,1.0,2018-03-05 08:37:57,2021-07-06 12:22:07,roq-trading/roq-api,active,,2021-04-21 01:25:51.827641
avellaneda-stoikov,https://github.com/ragoragino/avellaneda-stoikov,NEW,Extended Research,2021-05-31 12:38:50,57.0,21.0,1.0,2017-10-21 20:53:00,2017-10-30 18:23:27,ragoragino/avellaneda-stoikov,inactive,,2021-04-21 01:25:51.827641
Trading-Bot,https://github.com/RaidasGrisk/Trading-Bot,NEW,Extended Research,2021-07-06 11:16:35,77.0,34.0,1.0,2017-11-27 21:20:40,2018-01-22 21:00:57,RaidasGrisk/Trading-Bot,inactive,,2021-04-21 01:25:51.827641
exchange-core,https://github.com/mzheravin/exchange-core,NEW,Extended Research,2021-07-09 06:51:22,970.0,441.0,7.0,2018-08-05 18:25:16,2021-04-25 18:24:27,mzheravin/exchange-core,active,,2021-04-21 01:25:51.827641
ml-fraud-detection,https://github.com/georgymh/ml-fraud-detection,NEW,Extended Research,2021-06-28 15:16:20,124.0,93.0,2.0,2017-04-27 01:48:35,2018-01-31 21:17:26,georgymh/ml-fraud-detection,inactive,,2021-04-21 01:25:51.827641
fraud-detection-papers,https://github.com/IPL/fraud-detection-papers,NEW,Extended Research,2021-07-07 13:02:06,139.0,32.0,1.0,2017-09-29 02:47:54,2021-02-03 09:47:27,IPL/fraud-detection-papers,active,,2021-04-21 01:25:51.827641
PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop,https://github.com/TheSnowGuru/PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop,NEW,Extended Research,2021-07-10 11:40:42,151.0,42.0,2.0,2020-07-05 07:59:38,2021-06-24 06:04:19,TheSnowGuru/PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop,active,,2021-04-21 01:25:51.827641
TradingStrategies,https://github.com/SoftAlgoTrade/TradingStrategies,NEW,Extended Research,2021-07-04 21:02:47,121.0,55.0,1.0,2017-05-22 20:46:35,2017-10-29 11:09:37,SoftAlgoTrade/TradingStrategies,inactive,,2021-04-21 01:25:51.827641
beymani,https://github.com/pranab/beymani,NEW,Extended Research,2021-07-06 16:28:08,112.0,60.0,0.0,2012-01-04 07:22:01,2021-07-06 16:27:39,pranab/beymani,active,,2021-04-21 01:25:51.827641
crypto-database,https://github.com/ivopetiz/crypto-database,NEW,Extended Research,2021-07-09 20:17:08,60.0,24.0,2.0,2018-02-22 21:34:11,2019-10-04 13:06:18,ivopetiz/crypto-database,active,,2021-04-21 01:25:51.827641
bot18,https://github.com/carlos8f/bot18,NEW,Extended Research,2021-07-01 22:33:23,170.0,33.0,2.0,2018-05-23 14:22:25,2018-10-17 08:06:21,carlos8f/bot18,inactive,,2021-04-21 01:25:51.827641
fingerprintjs,https://github.com/fingerprintjs/fingerprintjs,NEW,Extended Research,2021-07-11 00:27:44,14086.0,1663.0,68.0,2015-02-11 08:49:54,2021-07-07 09:35:32,fingerprintjs/fingerprintjs,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,2021-06-25 20:14:51,115.0,34.0,2.0,2018-09-01 17:43:37,2019-11-22 12:50:30,srbrettle/Financial-Formulas-Library-.NET-Standard,active,,2021-04-21 01:25:51.827641
gym-fx,https://github.com/harveybc/gym-fx,NEW,Extended Research,2021-07-04 10:26:38,161.0,44.0,1.0,2017-02-21 21:04:09,2020-06-03 21:03:14,harveybc/gym-fx,active,,2021-04-21 01:25:51.827641
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,,
Pyfolio,https://github.com/quantopian/pyfolio,Portfolio and risk analytics in Python.,Factor and Risk Analysis,2021-07-10 23:10:02,3902.0,1239.0,41.0,2015-06-01 15:31:39,2020-02-28 17:30:19,quantopian/pyfolio,active,,
Factor Analysis,https://github.com/alpha-miner/alpha-mind/tree/master/notebooks,Factor strategy notebooks.,Factor and Risk Analysis,2021-06-27 16:26:50,178.0,61.0,5.0,2017-05-01 07:36:54,2021-06-26 07:13:21,alpha-miner/alpha-mind,active,,
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
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,,
VaR GaN,https://github.com/hamaadshah/market_risk_gan_keras,Estimate Value-at-Risk for market risk management using Keras and TensorFlow.,Factor and Risk Analysis,2021-06-21 06:11:36,43.0,29.0,1.0,2018-08-06 16:09:44,2020-11-22 19:02:07,hamaadshah/market_risk_gan_tensorflow,active,,
Performance Analysis,https://github.com/quantopian/alphalens,Performance analysis of predictive (alpha) stock factors.,Factor and Risk Analysis,2021-07-10 02:52:37,1975.0,755.0,17.0,2016-06-03 21:49:15,2020-04-27 18:40:41,quantopian/alphalens,active,,
Quantropy,https://github.com/AlainDaccache/Quantropy,NEW,Factor and Risk Analysis,2021-06-19 23:12:00,27.0,4.0,2.0,2020-06-13 15:34:25,2021-03-15 01:49:23,AlainDaccache/Quantropy,active,,2021-05-05 01:50:30.163258
Statistical Finance,https://github.com/mrefermat/FinancePhD/tree/master/FinancialExperiments,Various financial experiments.,Factor and Risk Analysis,2021-03-30 00:09:28,21.0,17.0,1.0,2015-10-04 09:10:54,2020-03-28 18:33:58,mrefermat/FinancePhD,active,,
Convex Optimisation,https://github.com/ssanderson/convex-optimization-for-finance/blob/master/notebooks/Main.ipynb,Convex Optimization for Finance.,Factor and Risk Analysis,2021-04-08 19:02:22,18.0,11.0,1.0,2018-06-26 20:36:47,2019-10-22 21:56:46,ssanderson/convex-optimization-for-finance,active,,
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,,
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
bot18,https://github.com/carlos8f/bot18,NEW,Extended Research,2021-07-01 22:33:23,170.0,33.0,2.0,2018-05-23 14:22:25,2018-10-17 08:06:21,carlos8f/bot18,inactive,,2021-04-21 01:25:51.827641
crypto-database,https://github.com/ivopetiz/crypto-database,NEW,Extended Research,2021-07-09 20:17:08,60.0,24.0,2.0,2018-02-22 21:34:11,2019-10-04 13:06:18,ivopetiz/crypto-database,active,,2021-04-21 01:25:51.827641
beymani,https://github.com/pranab/beymani,NEW,Extended Research,2021-07-06 16:28:08,112.0,60.0,0.0,2012-01-04 07:22:01,2021-07-06 16:27:39,pranab/beymani,active,,2021-04-21 01:25:51.827641
TradingStrategies,https://github.com/SoftAlgoTrade/TradingStrategies,NEW,Extended Research,2021-07-04 21:02:47,121.0,55.0,1.0,2017-05-22 20:46:35,2017-10-29 11:09:37,SoftAlgoTrade/TradingStrategies,inactive,,2021-04-21 01:25:51.827641
PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop,https://github.com/TheSnowGuru/PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop,NEW,Extended Research,2021-07-10 11:40:42,151.0,42.0,2.0,2020-07-05 07:59:38,2021-06-24 06:04:19,TheSnowGuru/PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop,active,,2021-04-21 01:25:51.827641
fraud-detection-papers,https://github.com/IPL/fraud-detection-papers,NEW,Extended Research,2021-07-07 13:02:06,139.0,32.0,1.0,2017-09-29 02:47:54,2021-02-03 09:47:27,IPL/fraud-detection-papers,active,,2021-04-21 01:25:51.827641
ml-fraud-detection,https://github.com/georgymh/ml-fraud-detection,NEW,Extended Research,2021-06-28 15:16:20,124.0,93.0,2.0,2017-04-27 01:48:35,2018-01-31 21:17:26,georgymh/ml-fraud-detection,inactive,,2021-04-21 01:25:51.827641
exchange-core,https://github.com/mzheravin/exchange-core,NEW,Extended Research,2021-07-09 06:51:22,970.0,441.0,7.0,2018-08-05 18:25:16,2021-04-25 18:24:27,mzheravin/exchange-core,active,,2021-04-21 01:25:51.827641
Trading-Bot,https://github.com/RaidasGrisk/Trading-Bot,NEW,Extended Research,2021-07-06 11:16:35,77.0,34.0,1.0,2017-11-27 21:20:40,2018-01-22 21:00:57,RaidasGrisk/Trading-Bot,inactive,,2021-04-21 01:25:51.827641
avellaneda-stoikov,https://github.com/ragoragino/avellaneda-stoikov,NEW,Extended Research,2021-05-31 12:38:50,57.0,21.0,1.0,2017-10-21 20:53:00,2017-10-30 18:23:27,ragoragino/avellaneda-stoikov,inactive,,2021-04-21 01:25:51.827641
roq-api,https://github.com/roq-trading/roq-api,NEW,Extended Research,2021-07-11 01:13:26,164.0,50.0,1.0,2018-03-05 08:37:57,2021-07-06 12:22:07,roq-trading/roq-api,active,,2021-04-21 01:25:51.827641
InteractiveBrokers-Algo-System,https://github.com/rediar/InteractiveBrokers-Algo-System,NEW,Extended Research,2021-06-29 21:47:08,157.0,66.0,1.0,2018-01-21 03:09:41,2018-10-25 02:56:15,rediar/InteractiveBrokers-Algo-System,inactive,,2021-04-21 01:25:51.827641
fecon236,https://github.com/MathSci/fecon236,NEW,Extended Research,2021-06-01 06:28:35,78.0,44.0,2.0,2018-04-05 19:34:51,2019-01-11 08:07:56,MathSci/fecon236,inactive,,2021-04-21 01:25:51.827641
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
wondertrader,https://github.com/wondertrader/wondertrader,NEW,Extended Research,2021-07-09 03:50:45,293.0,77.0,2.0,2020-03-30 05:43:52,2021-05-24 06:04:06,wondertrader/wondertrader,active,,2021-04-21 01:25:51.827641
HFT_Bitcoin,https://github.com/ghgr/HFT_Bitcoin,NEW,Extended Research,2021-05-07 12:27:55,72.0,24.0,1.0,2017-07-27 07:11:48,2017-08-21 14:50:35,ghgr/HFT_Bitcoin,inactive,,2021-04-21 01:25:51.827641
Krypto-trading-bot,https://github.com/ctubio/Krypto-trading-bot,NEW,Extended Research,2021-07-10 16:44:48,2322.0,626.0,49.0,2017-06-13 20:15:54,2021-07-10 16:26:38,ctubio/Krypto-trading-bot,active,,2021-04-21 01:25:51.827641
math-finance-cheat-sheet,https://github.com/daleroberts/math-finance-cheat-sheet,NEW,Extended Research,2021-07-09 15:56:25,192.0,30.0,1.0,2014-05-02 00:19:01,2016-11-16 05:57:09,daleroberts/math-finance-cheat-sheet,inactive,,2021-04-21 01:25:51.827641
math-php,https://github.com/markrogoyski/math-php,NEW,Extended Research,2021-07-07 05:37:17,1926.0,202.0,17.0,2016-04-03 17:57:14,2021-07-07 05:36:35,markrogoyski/math-php,active,,2021-04-21 01:25:51.827641
fraud-detection,https://github.com/yazanobeidi/fraud-detection,NEW,Extended Research,2021-07-02 16:08:52,61.0,34.0,1.0,2017-08-04 15:03:47,2017-08-05 15:38:45,yazanobeidi/fraud-detection,inactive,,2021-04-21 01:25:51.827641
TalkingData,https://github.com/CuteChibiko/TalkingData,NEW,Extended Research,2021-06-06 19:34:41,101.0,39.0,1.0,2018-05-09 15:17:45,2018-05-11 01:32:26,CuteChibiko/TalkingData,inactive,,2021-04-21 01:25:51.827641
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
fraud-detection-using-machine-learning,https://github.com/awslabs/fraud-detection-using-machine-learning,NEW,Extended Research,2021-07-09 04:00:19,102.0,63.0,6.0,2019-05-17 17:12:46,2021-06-09 19:03:19,awslabs/fraud-detection-using-machine-learning,active,,2021-04-21 01:25:51.827641
tectonicdb,https://github.com/0b01/tectonicdb,NEW,Extended Research,2021-07-10 06:07:30,353.0,57.0,10.0,2017-10-03 00:34:01,2020-09-08 23:02:20,0b01/tectonicdb,active,,2021-04-21 01:25:51.827641
finmath-lib,https://github.com/finmath/finmath-lib,NEW,Extended Research,2021-07-10 16:29:42,320.0,128.0,16.0,2013-03-17 10:00:22,2021-03-13 21:37:31,finmath/finmath-lib,active,,2021-04-21 01:25:51.827641
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,,
HFT-CNN,https://github.com/ShimShim46/HFT-CNN,NEW,Extended Research,2021-05-24 06:03:42,73.0,19.0,1.0,2018-08-18 06:39:32,2018-11-09 02:29:00,ShimShim46/HFT-CNN,inactive,,2021-04-21 01:25:51.827641
HFT,https://github.com/rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy,High frequency trading.,Extended Research,2021-07-10 07:22:16,803.0,346.0,1.0,2016-07-21 05:14:14,2017-02-14 16:47:25,rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy,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,,
Bayesian Finance,https://github.com/marketneutral/alphatools/blob/master/notebooks/pymc3-minimal.ipynb,Notebook PyMC3 implementation.,Extended Research,2021-07-09 18:36:09,255.0,59.0,1.0,2018-08-28 14:45:00,2020-08-06 22:03:47,marketneutral/alphatools,active,,
hft,https://github.com/nickhuangxinyu/hft,NEW,Extended Research,2021-07-10 17:21:03,173.0,90.0,2.0,2019-03-12 14:57:01,2021-05-07 04:09:18,nickhuangxinyu/hft,active,,2021-04-21 01:25:51.827641
Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras,https://github.com/curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras,NEW,Extended Research,2021-07-04 05:21:30,349.0,237.0,1.0,2017-06-09 13:58:13,2019-06-28 09:27:45,curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras,inactive,,2021-04-21 01:25:51.827641
Bayesian Finance I,https://github.com/AlexIoannides/pymc-stochastic-process/blob/master/bayes_stoch_proc_calib.ipynb,Stochastic Process Calibration using Bayesian Inference & Probabilistic Programs.,Extended Research,2021-05-18 12:27:07,27.0,6.0,0.0,2019-01-04 12:30:41,2019-02-18 09:55:21,AlexIoannides/pymc-stochastic-process,inactive,,
Coiner,https://github.com/jihoonerd/Coiner,NEW,Extended Research,2021-04-07 16:15:41,50.0,20.0,1.0,2017-09-26 04:14:36,2018-01-01 13:13:21,jihoonerd/Coiner,inactive,,2021-04-21 01:25:51.827641
hummingbot_chinese,https://github.com/CoinAlpha/hummingbot_chinese,NEW,Extended Research,2021-07-06 00:56:09,183.0,33.0,5.0,2019-06-05 22:53:04,2021-06-10 16:41:21,CoinAlpha/hummingbot_chinese,active,,2021-04-21 01:25:51.827641
MStream,https://github.com/Stream-AD/MStream,NEW,Extended Research,2021-07-12 20:10:56,53.0,14.0,4.0,2019-12-09 09:12:54,2021-04-11 02:20:30,Stream-AD/MStream,active,,2021-07-14 01:45:09.733861
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,,
OpenHFT,https://github.com/OpenHFT/OpenHFT,NEW,Extended Research,2021-07-09 21:49:32,488.0,154.0,33.0,2013-12-26 10:22:00,2021-07-09 13:40:59,OpenHFT/OpenHFT,active,,2021-04-21 01:25:51.827641
algo-trader-tool-suite,https://github.com/K0414/algo-trader-tool-suite,NEW,Extended Research,2021-07-02 17:04:00,59.0,51.0,1.0,2013-10-24 14:57:12,2013-10-24 15:01:56,K0414/algo-trader-tool-suite,inactive,,2021-04-21 01:25:51.827641
kafka-fraud-detector,https://github.com/florimondmanca/kafka-fraud-detector,NEW,Extended Research,2021-07-10 14:11:32,62.0,47.0,3.0,2018-09-13 17:36:49,2019-04-29 22:04:23,florimondmanca/kafka-fraud-detector,inactive,,2021-04-21 01:25:51.827641
HFT-Orderbook,https://github.com/Crypto-toolbox/HFT-Orderbook,NEW,Extended Research,2021-07-09 20:17:20,448.0,154.0,4.0,2017-07-26 08:42:19,2018-08-24 13:35:39,Crypto-toolbox/HFT-Orderbook,inactive,,2021-04-21 01:25:51.827641
PE-HFT-Python,https://github.com/PortfolioEffect/PE-HFT-Python,NEW,Extended Research,2021-06-18 07:24:56,50.0,37.0,2.0,2015-11-11 00:58:39,2017-08-08 02:06:15,PortfolioEffect/PE-HFT-Python,inactive,,2021-07-07 01:48:46.755450
go-quantcup,https://github.com/rdingwall/go-quantcup,NEW,Extended Research,2021-06-30 09:37:46,75.0,36.0,1.0,2015-02-04 10:33:12,2015-06-11 12:50:09,rdingwall/go-quantcup,inactive,,2021-04-21 01:25:51.827641
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,,
roq-samples,https://github.com/roq-trading/roq-samples,NEW,Extended Research,2021-07-11 01:13:46,68.0,25.0,3.0,2018-03-27 04:19:09,2021-07-06 12:19:40,roq-trading/roq-samples,active,,2021-05-05 01:50:21.293278
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,,
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
DGFraud,https://github.com/safe-graph/DGFraud,NEW,Extended Research,2021-07-08 16:57:31,330.0,91.0,4.0,2019-11-22 14:02:36,2021-05-27 21:12:27,safe-graph/DGFraud,active,,2021-04-21 01:25:51.827641
freqtrade_bot,https://github.com/michael-fourie/freqtrade_bot,NEW,Extended Research,2021-07-04 08:41:14,71.0,25.0,1.0,2020-12-21 00:14:25,2021-01-07 19:52:54,michael-fourie/freqtrade_bot,active,,2021-04-21 01:25:51.827641
example-hftish,https://github.com/alpacahq/example-hftish,NEW,Extended Research,2021-07-09 23:33:18,408.0,171.0,3.0,2019-01-25 14:56:38,2019-10-25 02:16:27,alpacahq/example-hftish,active,,2021-04-21 01:25:51.827641
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,,
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
spartan,https://github.com/rigtorp/spartan,NEW,Extended Research,2021-07-09 21:49:10,170.0,62.0,1.0,2012-11-22 04:29:42,2015-10-31 03:46:06,rigtorp/spartan,inactive,,2021-04-21 01:25:51.827641
448Project,https://github.com/HujiaYuYoyo/448Project,NEW,Extended Research,2021-07-08 07:00:53,69.0,46.0,4.0,2018-04-14 21:19:21,2018-06-10 09:29:37,HujiaYuYoyo/448Project,inactive,,2021-04-21 01:25:51.827641
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,,
Currency PCA,https://github.com/shanemulqueen/python-finance-pca/blob/master/FX_spots_w_PCA.ipynb,Forex spots PCA.,Extended Research,2020-10-26 00:55:20,3.0,1.0,1.0,2019-03-12 21:11:29,2019-03-12 22:09:10,shanemulqueen/python-finance-pca,inactive,,
tribeca,https://github.com/michaelgrosner/tribeca,NEW,Extended Research,2021-07-10 22:16:31,3560.0,897.0,22.0,2015-07-07 18:40:45,2018-02-26 18:01:13,michaelgrosner/tribeca,inactive,,2021-04-21 01:25:51.827641
Commodity,https://github.com/felipessalvatore/fin2vec/blob/master/src/Commodity2BR.ipynb,Commodity influence over Brazilian stocks.,Extended Research,,,,,,,felipessalvatore/fin2vec,,,
Deep Portfolio,https://github.com/DLColumbia/DL_forFinance,Deep learning for finance Predict volume of bonds.,Extended Research,2021-01-12 11:48:27,27.0,20.0,2.0,2018-05-08 19:34:17,2018-05-09 15:39:25,DLColumbia/DL_forFinance,inactive,,
MIDAS,https://github.com/Stream-AD/MIDAS,NEW,Extended Research,2021-07-09 13:44:22,617.0,72.0,3.0,2019-10-23 03:50:50,2021-06-08 08:19:24,Stream-AD/MIDAS,active,,2021-04-21 01:25:51.827641
SumZeroTrading,https://github.com/rterp/SumZeroTrading,NEW,Extended Research,2021-07-07 19:06:31,131.0,44.0,1.0,2016-01-19 05:43:31,2018-08-30 22:44:52,rterp/SumZeroTrading,inactive,,2021-04-21 01:25:51.827641
ReactiveTraderCloud,https://github.com/AdaptiveConsulting/ReactiveTraderCloud,NEW,Extended Research,2021-07-10 15:49:07,1605.0,508.0,81.0,2015-11-13 19:24:11,2021-06-24 08:10:33,AdaptiveConsulting/ReactiveTraderCloud,active,,2021-04-21 01:25:51.827641
Mathematical Finance,https://github.com/Auquan/Tutorials,Notebooks for math and financial tutorials.,Extended Research,2021-07-08 14:25:43,693.0,455.0,9.0,2017-01-21 11:24:18,2020-08-01 17:03:32,Auquan/Tutorials,active,,
High Frequency,https://github.com/cswaney/prickle,A Python toolkit for high-frequency trade research.,Extended Research,2021-07-03 10:29:12,27.0,17.0,2.0,2016-07-06 20:32:21,2018-06-09 10:53:51,cswaney/prickle,inactive,,
2018-Kaggle-AdTrackingFraud,https://github.com/ShawnyXiao/2018-Kaggle-AdTrackingFraud,NEW,Extended Research,2021-07-04 19:51:19,73.0,23.0,1.0,2018-05-08 09:29:46,2019-01-12 07:57:33,ShawnyXiao/2018-Kaggle-AdTrackingFraud,inactive,,2021-04-21 01:25:51.827641
A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market,https://github.com/SheikhRabiul/A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market,NEW,Extended Research,2021-06-12 08:04:27,52.0,21.0,1.0,2017-11-27 06:37:43,2019-01-08 18:13:34,SheikhRabiul/A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market,inactive,,2021-04-21 01:25:51.827641
fraud-detection-demo,https://github.com/afedulov/fraud-detection-demo,NEW,Extended Research,2021-07-07 10:29:53,186.0,77.0,2.0,2019-11-04 09:23:17,2021-01-05 19:28:04,afedulov/fraud-detection-demo,active,,2021-04-21 01:25:51.827641
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,,
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,,
kungfu,https://github.com/kungfu-origin/kungfu,NEW,Extended Research,2021-07-10 17:52:00,2393.0,874.0,7.0,2017-11-15 06:54:01,2020-06-03 12:04:41,kungfu-origin/kungfu,active,,2021-04-21 01:25:51.827641
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,,,
NLP Finance Papers,https://github.com/chenbowen184/Research_Documents_Curation_with_NLP,Curating quantitative finance papers using machine learning.,Extended Research,2021-02-27 06:33:23,8.0,10.0,1.0,2018-10-11 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,2021-07-10 15:56:27,672.0,183.0,3.0,2018-09-16 20:00:36,2020-09-05 13:01:05,AlgoTraders/stock-analysis-engine,active,,
Stock-Prediction,https://github.com/Ronak-59/Stock-Prediction,NEW,Factor and Risk Analysis,2021-07-10 16:44:04,142.0,68.0,2.0,2018-03-18 04:54:45,2020-02-28 11:43:07,Ronak-59/Stock-Prediction,active,,37:06.3
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,2021-07-08 15:31:25,155.0,79.0,1.0,2018-05-18 22:09:52,2018-08-07 18:05:37,jerryxyx/AlphaTrading,inactive,,37:06.3
-L-,https://github.com/jettbrains/-L-,NEW,Factor and Risk Analysis,2021-03-15 03:05:00,6.0,17.0,1.0,2019-10-28 21:50:26,2019-10-28 21:51:19,jettbrains/-L-,active,,23:57.7
Factor Analysis,https://github.com/garvit-kudesia91/factor_analysis/blob/master/Factor%20Analysis%20of%20Mutual%20Funds.ipynb,Factor analysis for mutual funds.,Factor and Risk Analysis,2020-12-21 14:26:46,3.0,4.0,1.0,2018-03-13 07:39:20,2018-03-13 07:42:36,garvit-kudesia91/factor_analysis,inactive,,
stock-market-analysis-using-python-numpy-pandas,https://github.com/Ashishsinha10/stock-market-analysis-using-python-numpy-pandas,NEW,Factor and Risk Analysis,2021-03-21 08:50:27,8.0,5.0,1.0,2018-04-10 05:15:49,2018-04-10 05:28:54,Ashishsinha10/stock-market-analysis-using-python-numpy-pandas,inactive,,23:57.7
Risk and Return,https://github.com/PyDataBlog/Python-for-Data-Science/tree/master/Tutorials,Riskiness of portfolios and assets.,Factor and Risk Analysis,2021-06-05 14:54:12,148.0,63.0,2.0,2017-09-12 13:35:09,2020-08-06 12:35:44,PyDataBlog/Python-for-Data-Science,active,,
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,,
TradeFinexLive,https://github.com/XinFinOrg/TradeFinexLive,NEW,Factor and Risk Analysis,2021-07-06 21:55:08,6.0,12.0,8.0,2018-03-21 10:05:22,2021-07-02 06:53:22,XinFinOrg/TradeFinexLive,active,,23:57.7
Python for Finance,https://github.com/yhilpisch/py4fi/tree/master/jupyter36,Various financial notebooks.,Factor and Risk Analysis,2021-07-10 19:28:47,1337.0,804.0,1.0,2014-12-15 11:23:34,2018-07-10 06:38:12,yhilpisch/py4fi,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,,
market-data,https://github.com/kriasoft/market-data,NEW,Fixed Income,2020-06-22 10:58:20,25.0,20.0,1.0,2012-12-07 13:42:48,2012-12-15 12:10:06,kriasoft/market-data,inactive,,24:33.4
woe,https://github.com/boredbird/woe,NEW,Fixed Income,2021-06-17 02:46:24,226.0,96.0,1.0,2017-09-11 07:15:04,2018-03-01 10:45:40,boredbird/woe,inactive,,24:33.4
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,,
TradeFinexLive,https://github.com/XinFinOrg/TradeFinexLive,NEW,Factor and Risk Analysis,2021-07-06 21:55:08,6.0,12.0,8.0,2018-03-21 10:05:22,2021-07-02 06:53:22,XinFinOrg/TradeFinexLive,active,,23:57.7
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,,
stock-market-analysis-using-python-numpy-pandas,https://github.com/Ashishsinha10/stock-market-analysis-using-python-numpy-pandas,NEW,Factor and Risk Analysis,2021-03-21 08:50:27,8.0,5.0,1.0,2018-04-10 05:15:49,2018-04-10 05:28:54,Ashishsinha10/stock-market-analysis-using-python-numpy-pandas,inactive,,23:57.7
Factor Analysis,https://github.com/garvit-kudesia91/factor_analysis/blob/master/Factor%20Analysis%20of%20Mutual%20Funds.ipynb,Factor analysis for mutual funds.,Factor and Risk Analysis,2020-12-21 14:26:46,3.0,4.0,1.0,2018-03-13 07:39:20,2018-03-13 07:42:36,garvit-kudesia91/factor_analysis,inactive,,
-L-,https://github.com/jettbrains/-L-,NEW,Factor and Risk Analysis,2021-03-15 03:05:00,6.0,17.0,1.0,2019-10-28 21:50:26,2019-10-28 21:51:19,jettbrains/-L-,active,,23:57.7
AlphaTrading,https://github.com/jerryxyx/AlphaTrading,NEW,Factor and Risk Analysis,2021-07-08 15:31:25,155.0,79.0,1.0,2018-05-18 22:09:52,2018-08-07 18:05:37,jerryxyx/AlphaTrading,inactive,,37:06.3
Various Risk Measures,https://github.com/Jorgencr/Alternative-and-Responsible-Investments/blob/master/Final_masterfile.ipynb,Risk measures and factors for alternative and responsible investments.,Factor and Risk Analysis,2020-11-04 07:04:38,4.0,4.0,1.0,2017-08-07 14:44:32,2017-08-08 22:52:11,Jorgencr/Alternative-and-Responsible-Investments,inactive,,
simulate,https://github.com/leolle/simulate,NEW,Factor and Risk Analysis,2021-03-23 13:34:53,11.0,2.0,1.0,2017-06-04 15:18:21,2018-11-11 14:03:40,leolle/simulate,inactive,,23:57.7
VaR,https://github.com/willb/var-notebook/blob/master/var-notebook/var-pdfs.ipynb,Value-at-risk calculations.,Factor and Risk Analysis,2021-03-31 02:06:48,10.0,9.0,1.0,2016-11-15 19:24:17,2017-01-14 21:19:30,willb/var-notebook,inactive,,
Convex Optimisation,https://github.com/ssanderson/convex-optimization-for-finance/blob/master/notebooks/Main.ipynb,Convex Optimization for Finance.,Factor and Risk Analysis,2021-04-08 19:02:22,18.0,11.0,1.0,2018-06-26 20:36:47,2019-10-22 21:56:46,ssanderson/convex-optimization-for-finance,active,,
Statistical Finance,https://github.com/mrefermat/FinancePhD/tree/master/FinancialExperiments,Various financial experiments.,Factor and Risk Analysis,2021-03-30 00:09:28,21.0,17.0,1.0,2015-10-04 09:10:54,2020-03-28 18:33:58,mrefermat/FinancePhD,active,,
Quantropy,https://github.com/AlainDaccache/Quantropy,NEW,Factor and Risk Analysis,2021-06-19 23:12:00,27.0,4.0,2.0,2020-06-13 15:34:25,2021-03-15 01:49:23,AlainDaccache/Quantropy,active,,2021-05-05 01:50:30.163258
Performance Analysis,https://github.com/quantopian/alphalens,Performance analysis of predictive (alpha) stock factors.,Factor and Risk Analysis,2021-07-10 02:52:37,1975.0,755.0,17.0,2016-06-03 21:49:15,2020-04-27 18:40:41,quantopian/alphalens,active,,
VaR GaN,https://github.com/hamaadshah/market_risk_gan_keras,Estimate Value-at-Risk for market risk management using Keras and TensorFlow.,Factor and Risk Analysis,2021-06-21 06:11:36,43.0,29.0,1.0,2018-08-06 16:09:44,2020-11-22 19:02:07,hamaadshah/market_risk_gan_tensorflow,active,,
CAPM,https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%202%2C%20CAPM.ipynb,Expected returns using CAPM.,Factor and Risk Analysis,2021-03-01 13:53:42,31.0,18.0,1.0,2016-05-10 11:03:48,2016-05-17 03:44:56,RJT1990/Active-Portfolio-Management-Notes,inactive,,
Machine_learning_In_Finance,https://github.com/chaudharigauravi/Machine_learning_In_Finance,NEW,Factor and Risk Analysis,2020-11-27 19:23:33,8.0,3.0,1.0,2019-08-03 04:04:51,2019-08-03 04:05:32,chaudharigauravi/Machine_learning_In_Finance,active,,23:57.7
Factor Analysis,https://github.com/alpha-miner/alpha-mind/tree/master/notebooks,Factor strategy notebooks.,Factor and Risk Analysis,2021-06-27 16:26:50,178.0,61.0,5.0,2017-05-01 07:36:54,2021-06-26 07:13:21,alpha-miner/alpha-mind,active,,
Pyfolio,https://github.com/quantopian/pyfolio,Portfolio and risk analytics in Python.,Factor and Risk Analysis,2021-07-10 23:10:02,3902.0,1239.0,41.0,2015-06-01 15:31:39,2020-02-28 17:30:19,quantopian/pyfolio,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,,
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,,
MagentoExtensions,https://github.com/5mehulhelp5/MagentoExtensions,NEW,Fixed Income,2021-06-30 10:33:53,110.0,109.0,2.0,2014-07-03 05:45:54,2017-11-24 16:15:49,5mehulhelp5/MagentoExtensions,inactive,,24:33.4
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
mlfinlab,https://github.com/hudson-and-thames/mlfinlab,open source library maintained by hudson and thames though much of the content has moved to a subscription model. Idea is to implement academic research in python code and aggregate it as a package. Sources from [Journal of financial data science](https://jfds.pm-research.com/) / [journal of portfolio management](https://jpm.pm-research.com/) / [journal of algorithmic finance](http://www.algorithmicfinance.org/) / [cambridge university press](https://www.cambridge.org/),Other Models,2021-07-09 14:58:57,2462.0,755.0,3.0,2019-02-13 16:57:25,2021-06-29 22:40:46,hudson-and-thames/mlfinlab,active,3.0,39:24.6
awesome-ai-in-finance,https://github.com/georgezouq/awesome-ai-in-finance,curated list of books/online courses/papers on AI and finance. Topics include crypto trading strategies/ta/backter etc.,Other Models,2021-07-10 19:35:55,1057.0,183.0,8.0,2018-08-29 02:07:02,2021-07-02 07:12:52,georgezouq/awesome-ai-in-finance,active,3.0,39:24.6
Stanford-Project-Predicting-stock-prices-using-a-LSTM-Network,https://github.com/dduemig/Stanford-Project-Predicting-stock-prices-using-a-LSTM-Network,NEW,Other Models,2021-07-03 10:21:47,104.0,31.0,1.0,2019-02-19 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
MathAndScienceNotes,https://github.com/melling/MathAndScienceNotes,Collections of news/articles on various topics including quant trading and machine learning. Some articles are from [ycombinator message board](https://news.ycombinator.com/news) and [rediit algotrading forum](https://www.reddit.com/r/algotrading/),Other Models,2021-07-03 18:36:18,465.0,57.0,1.0,2016-03-11 19:13:00,2020-12-21 03:54:51,melling/MathAndScienceNotes,active,3.0,39:24.6
Awesome-Quant-Machine-Learning-Trading,https://github.com/grananqvist/Awesome-Quant-Machine-Learning-Trading,curated list of books/online courses/youtube videos/blogs/interviews/papers/code etc. Updates are pretty infrequent,Other Models,2021-07-10 14:58:24,1120.0,343.0,3.0,2018-11-05 21:09:06,2020-10-08 16:48:18,grananqvist/Awesome-Quant-Machine-Learning-Trading,active,5.0,39:24.6
Machine-Learning-and-AI-in-Trading,https://github.com/PyPatel/Machine-Learning-and-AI-in-Trading,repo covering lstm and other sklearn model for trading. Code is not structured well and less extensible,Other Models,2021-07-09 18:36:48,273.0,104.0,1.0,2017-08-30 06:14:59,2019-10-29 08:14:39,PyPatel/Machine-Learning-and-AI-in-Trading,active,2.0,39:24.6
Mixture Models II,https://github.com/BlackArbsCEO/mixture_model_trading_public,Mixture models and stock trading.,Other Models,2021-07-02 05:28:11,170.0,74.0,1.0,2017-12-11 17:05:38,2020-05-13 23:50:47,BlackArbsCEO/mixture_model_trading_public,active,3.0,
Hands-On-Machine-Learning-for-Algorithmic-Trading,https://github.com/PacktPublishing/Hands-On-Machine-Learning-for-Algorithmic-Trading,repo for book [hands-on-machine learning for algorithmic trading](https://www.packtpub.com/product/hands-on-machine-learning-for-algorithmic-trading/9781789346411) covering topic from data/unsupervised learning/NPL/RNN & CNN/reinforcement learning etc. Leverage zipline/alphalens/sklearn/openai-gym etc as well. Good references to have,Other Models,2021-07-03 17:54:20,646.0,424.0,2.0,2019-05-07 11:04:25,2021-01-19 07:51:00,PacktPublishing/Hands-On-Machine-Learning-for-Algorithmic-Trading,active,5.0,39:24.6
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,2021-07-04 13:49:59,249.0,97.0,1.0,2017-01-17 12:44:52,2017-01-17 12:48:17,AdeelMufti/CryptoBot,inactive,2.0,39:24.6
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,
stock-trading-ml,https://github.com/yacoubb/stock-trading-ml,lstm model using keras to predict msft prices. Data is from [alphavantage](https://www.alphavantage.co/) which provides some free data through web services. Showing how to use concatenation layer to join timeseries data with TA data. Might be abit of overfitting on the model though,Other Models,2021-07-02 21:08:40,371.0,212.0,1.0,2019-10-10 09:44:02,2019-10-12 11:38:49,yacoubb/stock-trading-ml,active,3.0,39:24.6
fin-ml,https://github.com/tatsath/fin-ml,accompanying materials for book [Machine Learning and Data Science Blueprints for Finance](https://www.amazon.com/Machine-Learning-Science-Blueprints-Finance/dp/1492073059) on top of basic machine learning models i.e. nlp/reinforcement learning/supervised & unsupervised learning it covers wider topics including robo-advisors/fraud detection/loan default/derivative pricing/yield curve construction.,Other Models,2021-07-06 16:31:25,153.0,100.0,2.0,2020-05-10 00:25:56,2021-01-23 17:15:07,tatsath/fin-ml,active,4.0,39:24.6
Trend Following,http://inseaddataanalytics.github.io/INSEADAnalytics/ExerciseSet2.html,A futures trend following portfolio investment strategy.,Other Models,,,,,,,,,,
surpriver,https://github.com/tradytics/surpriver,Machine learning algo to detect anomaly in equities data. Uses sklearn [IsolationForest](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.IsolationForest.html) model and price/volume based technical signals as features using [ta](https://github.com/bukosabino/ta) library. Opensourced by [tradytics](https://tradytics.com/). Code structures are less extensible,Other Models,2021-07-09 16:50:06,1252.0,236.0,6.0,2020-08-30 07:56:22,2020-09-21 04:32:05,tradytics/surpriver,active,3.0,39:24.6
Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original,https://github.com/PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original,official repo for [machine learning for algorithmic trading](https://www.amazon.com/Machine-Learning-Algorithmic-Trading-alternative/dp/1839217715?pf_rd_r=GZH2XZ35GB3BET09PCCA&pf_rd_p=c5b6893a-24f2-4a59-9d4b-aff5065c90ec&pd_rd_r=91a679c7-f069-4a6e-bdbb-a2b3f548f0c8&pd_rd_w=2B0Q0&pd_rd_wg=GMY5S&ref_=pd_gw_ci_mcx_mr_hp_d) book. Covering topics including backtesting/boosting/nlp/deep&reinforcement learning. Leverage open source libraries including [backtrader](https://www.backtrader.com/) [zipline](https://github.com/quantopian/zipline) and [talib](https://github.com/mrjbq7/ta-lib),Other Models,2021-07-10 07:38:24,346.0,157.0,4.0,2019-11-15 08:51:40,2021-01-21 07:56:08,PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original,active,4.0,39:24.6
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,2021-07-08 21:01:34,2194.0,708.0,1.0,2016-09-12 18:38:17,2021-06-24 15:43:54,anfederico/clairvoyant,active,3.0,
Machine-Learning-for-Algorithmic-Trading-Bots-with-Python,https://github.com/PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Bots-with-Python,code repo for [machine learning for algorithmic trading bots](https://www.packtpub.com/application-development/machine-learning-algorithmic-trading-bots-python-video) video series. Contains notebooks and deep dive using [zipline](https://github.com/quantopian/zipline),Other Models,2021-07-09 09:46:55,195.0,104.0,5.0,2018-12-06 11:35:08,2021-01-18 06:40:53,PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Bots-with-Python,active,3.0,39:24.6
woe,https://github.com/boredbird/woe,NEW,Fixed Income,2021-06-17 02:46:24,226.0,96.0,1.0,2017-09-11 07:15:04,2018-03-01 10:45:40,boredbird/woe,inactive,,24:33.4
market-data,https://github.com/kriasoft/market-data,NEW,Fixed Income,2020-06-22 10:58:20,25.0,20.0,1.0,2012-12-07 13:42:48,2012-12-15 12:10:06,kriasoft/market-data,inactive,,24:33.4
Vasicek,https://github.com/RobinsonGarcia/fixed-income/blob/master/2.0%20Vasicek%20-%20example.ipynb,Bootstrapping and interpolation.,Fixed Income,2020-12-10 21:20:03,3.0,3.0,1.0,2018-07-18 19:26:54,2018-07-18 19:34:48,RobinsonGarcia/fixed-income,inactive,,
Binomial Tree,https://github.com/hy-lei/math-finance-exercise,Utility functions in fixed income securities.,Fixed Income,2020-10-06 20:55:18,1.0,2.0,1.0,2019-02-02 08:44:14,2019-05-03 17:16:52,hy-lei/math-finance-toolbox,inactive,,
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,2021-07-06 13:34:56,193.0,132.0,4.0,2018-03-15 06:28:00,2021-01-14 15:58:03,PacktPublishing/Machine-Learning-for-Finance,active,3.0,39:24.6
Fundamental LT Forecasts,https://github.com/Hvass-Labs/FinanceOps,Research in investment finance for long term forecasts and a curated list of notebooks. Each topic contains a youtube video explaining in details. Interesting topics including using price per book ratio and other multiples for future return prediction and portfolio optimization. data sourced form [simfin](https://github.com/SimFin/simfin) yahoo finance and [s&p 500 earnings and estimate report](https://www.spglobal.com/spdji/en/documents/additional-material/sp-500-eps-est.xlsx) etc.,Other Models,2021-07-10 19:30:59,435.0,134.0,1.0,2018-07-22 08:14:46,2021-06-04 15:59:04,Hvass-Labs/FinanceOps,active,3.0,
mosquito,https://github.com/miro-ka/mosquito,base framework trading bot for crypto. Stores data in local mongodb instance and supports backtest and live trading on [poloniex](https://poloniex.com/) and [bittrex](https://bittrex.com/) which are 12-15th ranked crypto exchanges by volume. Leverage [talib](https://github.com/mrjbq7/ta-lib) for ta data and [plotly](https://github.com/plotly/plotly.py) for visualization,Other Models,2021-07-02 13:20:41,240.0,45.0,2.0,2017-06-18 19:57:17,2021-03-14 22:22:00,miro-ka/mosquito,active,3.0,39:24.6
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,2021-07-10 23:07:17,144.0,71.0,1.0,2020-01-06 00:21:58,2021-05-29 18:07:29,saeed349/Microservices-Based-Algorithmic-Trading-System,active,5.0,39:24.6
botflow,https://github.com/kkyon/botflow,python dataflow programming framework. Similar and probably replaceable by sklearn.pipeline module. Uses [graphviz](https://graphviz.org/) for visiualization though not maintained with last commit over 3 years ago,Other Models,2021-07-02 21:46:14,1176.0,102.0,8.0,2018-08-20 03:13:31,2019-05-23 14:40:50,kkyon/botflow,inactive,2.0,39:24.6
Stock.Indicators,https://github.com/DaveSkender/Stock.Indicators,list of technical indicators implemented in c#. Full list and explanation available [here](https://daveskender.github.io/Stock.Indicators/docs/INDICATORS.html). This list contains several indicators that ta-lib does not cover,Other Models,2021-07-10 21:25:53,242.0,78.0,9.0,2019-12-29 05:18:07,2021-07-10 21:25:50,DaveSkender/Stock.Indicators,active,3.0,39:24.6
Scikit-learn Stock Prediction,https://github.com/robertmartin8/MachineLearningStocks,using fundamental and pricing data to predict future stock returns. Sklearn's randomforest classifier is trainded and author claimed positive live trading results. Not actively mainained,Other Models,2021-07-10 03:56:47,992.0,367.0,2.0,2017-02-12 04:50:44,2021-02-04 03:48:33,robertmartin8/MachineLearningStocks,active,3.0,
Speculator,https://github.com/amicks/Speculator,python code to predict crypto prices using machine learning models. Two models used here tensorflow DNNClassifier and sklearn randomforest. Exposes the functionality as web services api using flask. Some idea are based on this paper [predicting the direction of stock market prices](https://arxiv.org/pdf/1605.00003.pdf),Other Models,2021-07-01 00:48:21,107.0,31.0,2.0,2017-09-03 17:43:03,2018-09-12 18:58:38,amicks/Speculator,inactive,3.0,39:24.6
finance_ml,https://github.com/jjakimoto/finance_ml,unofficial repo based on [Advances in Financial Machine Learning](https://www.amazon.com/Advances-Financial-Machine-Learning-Marcos/dp/1119482089). It's incomplete and not updated,Other Models,2021-07-08 08:24:48,306.0,130.0,1.0,2018-06-29 21:21:17,2021-06-07 19:28:50,jjakimoto/finance_ml,active,1.0,39:24.6
Machine-Learning-for-Algorithmic-Trading-Bots-with-Python,https://github.com/PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Bots-with-Python,code repo for [machine learning for algorithmic trading bots](https://www.packtpub.com/application-development/machine-learning-algorithmic-trading-bots-python-video) video series. Contains notebooks and deep dive using [zipline](https://github.com/quantopian/zipline),Other Models,2021-07-09 09:46:55,195.0,104.0,5.0,2018-12-06 11:35:08,2021-01-18 06:40:53,PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Bots-with-Python,active,3.0,39:24.6
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,2021-07-05 08:51:42,614.0,137.0,3.0,2016-02-14 00:47:32,2021-02-08 21:35:40,ScottfreeLLC/AlphaPy,active,4.0,39:24.6
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,2021-07-09 14:30:15,177.0,94.0,1.0,2015-03-26 02:22:03,2015-03-26 02:33:51,PythonProgramming/Pattern-Recognition-for-Forex-Trading,inactive,1.0,39:24.6
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,2021-07-09 00:02:21,293.0,127.0,3.0,2019-09-27 16:13:50,2020-06-13 21:20:26,mfrdixon/ML_Finance_Codes,active,3.0,39:24.6
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
Speculator,https://github.com/amicks/Speculator,python code to predict crypto prices using machine learning models. Two models used here tensorflow DNNClassifier and sklearn randomforest. Exposes the functionality as web services api using flask. Some idea are based on this paper [predicting the direction of stock market prices](https://arxiv.org/pdf/1605.00003.pdf),Other Models,2021-07-01 00:48:21,107.0,31.0,2.0,2017-09-03 17:43:03,2018-09-12 18:58:38,amicks/Speculator,inactive,3.0,39:24.6
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,2021-07-08 21:01:34,2194.0,708.0,1.0,2016-09-12 18:38:17,2021-06-24 15:43:54,anfederico/clairvoyant,active,3.0,
Fundamental LT Forecasts,https://github.com/Hvass-Labs/FinanceOps,Research in investment finance for long term forecasts and a curated list of notebooks. Each topic contains a youtube video explaining in details. Interesting topics including using price per book ratio and other multiples for future return prediction and portfolio optimization. data sourced form [simfin](https://github.com/SimFin/simfin) yahoo finance and [s&p 500 earnings and estimate report](https://www.spglobal.com/spdji/en/documents/additional-material/sp-500-eps-est.xlsx) etc.,Other Models,2021-07-10 19:30:59,435.0,134.0,1.0,2018-07-22 08:14:46,2021-06-04 15:59:04,Hvass-Labs/FinanceOps,active,3.0,
surpriver,https://github.com/tradytics/surpriver,Machine learning algo to detect anomaly in equities data. Uses sklearn [IsolationForest](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.IsolationForest.html) model and price/volume based technical signals as features using [ta](https://github.com/bukosabino/ta) library. Opensourced by [tradytics](https://tradytics.com/). Code structures are less extensible,Other Models,2021-07-09 16:50:06,1252.0,236.0,6.0,2020-08-30 07:56:22,2020-09-21 04:32:05,tradytics/surpriver,active,3.0,39:24.6
mlfinlab,https://github.com/hudson-and-thames/mlfinlab,open source library maintained by hudson and thames though much of the content has moved to a subscription model. Idea is to implement academic research in python code and aggregate it as a package. Sources from [Journal of financial data science](https://jfds.pm-research.com/) / [journal of portfolio management](https://jpm.pm-research.com/) / [journal of algorithmic finance](http://www.algorithmicfinance.org/) / [cambridge university press](https://www.cambridge.org/),Other Models,2021-07-09 14:58:57,2462.0,755.0,3.0,2019-02-13 16:57:25,2021-06-29 22:40:46,hudson-and-thames/mlfinlab,active,3.0,39:24.6
awesome-ai-in-finance,https://github.com/georgezouq/awesome-ai-in-finance,curated list of books/online courses/papers on AI and finance. Topics include crypto trading strategies/ta/backter etc.,Other Models,2021-07-10 19:35:55,1057.0,183.0,8.0,2018-08-29 02:07:02,2021-07-02 07:12:52,georgezouq/awesome-ai-in-finance,active,3.0,39:24.6
Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original,https://github.com/PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original,official repo for [machine learning for algorithmic trading](https://www.amazon.com/Machine-Learning-Algorithmic-Trading-alternative/dp/1839217715?pf_rd_r=GZH2XZ35GB3BET09PCCA&pf_rd_p=c5b6893a-24f2-4a59-9d4b-aff5065c90ec&pd_rd_r=91a679c7-f069-4a6e-bdbb-a2b3f548f0c8&pd_rd_w=2B0Q0&pd_rd_wg=GMY5S&ref_=pd_gw_ci_mcx_mr_hp_d) book. Covering topics including backtesting/boosting/nlp/deep&reinforcement learning. Leverage open source libraries including [backtrader](https://www.backtrader.com/) [zipline](https://github.com/quantopian/zipline) and [talib](https://github.com/mrjbq7/ta-lib),Other Models,2021-07-10 07:38:24,346.0,157.0,4.0,2019-11-15 08:51:40,2021-01-21 07:56:08,PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original,active,4.0,39:24.6
MathAndScienceNotes,https://github.com/melling/MathAndScienceNotes,Collections of news/articles on various topics including quant trading and machine learning. Some articles are from [ycombinator message board](https://news.ycombinator.com/news) and [rediit algotrading forum](https://www.reddit.com/r/algotrading/),Other Models,2021-07-03 18:36:18,465.0,57.0,1.0,2016-03-11 19:13:00,2020-12-21 03:54:51,melling/MathAndScienceNotes,active,3.0,39:24.6
Awesome-Quant-Machine-Learning-Trading,https://github.com/grananqvist/Awesome-Quant-Machine-Learning-Trading,curated list of books/online courses/youtube videos/blogs/interviews/papers/code etc. Updates are pretty infrequent,Other Models,2021-07-10 14:58:24,1120.0,343.0,3.0,2018-11-05 21:09:06,2020-10-08 16:48:18,grananqvist/Awesome-Quant-Machine-Learning-Trading,active,5.0,39:24.6
Machine-Learning-and-AI-in-Trading,https://github.com/PyPatel/Machine-Learning-and-AI-in-Trading,repo covering lstm and other sklearn model for trading. Code is not structured well and less extensible,Other Models,2021-07-09 18:36:48,273.0,104.0,1.0,2017-08-30 06:14:59,2019-10-29 08:14:39,PyPatel/Machine-Learning-and-AI-in-Trading,active,2.0,39:24.6
Mixture Models II,https://github.com/BlackArbsCEO/mixture_model_trading_public,Mixture models and stock trading.,Other Models,2021-07-02 05:28:11,170.0,74.0,1.0,2017-12-11 17:05:38,2020-05-13 23:50:47,BlackArbsCEO/mixture_model_trading_public,active,3.0,
Stanford-Project-Predicting-stock-prices-using-a-LSTM-Network,https://github.com/dduemig/Stanford-Project-Predicting-stock-prices-using-a-LSTM-Network,NEW,Other Models,2021-07-03 10:21:47,104.0,31.0,1.0,2019-02-19 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
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,2021-07-04 13:49:59,249.0,97.0,1.0,2017-01-17 12:44:52,2017-01-17 12:48:17,AdeelMufti/CryptoBot,inactive,2.0,39:24.6
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,
stock-trading-ml,https://github.com/yacoubb/stock-trading-ml,lstm model using keras to predict msft prices. Data is from [alphavantage](https://www.alphavantage.co/) which provides some free data through web services. Showing how to use concatenation layer to join timeseries data with TA data. Might be abit of overfitting on the model though,Other Models,2021-07-02 21:08:40,371.0,212.0,1.0,2019-10-10 09:44:02,2019-10-12 11:38:49,yacoubb/stock-trading-ml,active,3.0,39:24.6
fin-ml,https://github.com/tatsath/fin-ml,accompanying materials for book [Machine Learning and Data Science Blueprints for Finance](https://www.amazon.com/Machine-Learning-Science-Blueprints-Finance/dp/1492073059) on top of basic machine learning models i.e. nlp/reinforcement learning/supervised & unsupervised learning it covers wider topics including robo-advisors/fraud detection/loan default/derivative pricing/yield curve construction.,Other Models,2021-07-06 16:31:25,153.0,100.0,2.0,2020-05-10 00:25:56,2021-01-23 17:15:07,tatsath/fin-ml,active,4.0,39:24.6
Trend Following,http://inseaddataanalytics.github.io/INSEADAnalytics/ExerciseSet2.html,A futures trend following portfolio investment strategy.,Other Models,,,,,,,,,,
Hands-On-Machine-Learning-for-Algorithmic-Trading,https://github.com/PacktPublishing/Hands-On-Machine-Learning-for-Algorithmic-Trading,repo for book [hands-on-machine learning for algorithmic trading](https://www.packtpub.com/product/hands-on-machine-learning-for-algorithmic-trading/9781789346411) covering topic from data/unsupervised learning/NPL/RNN & CNN/reinforcement learning etc. Leverage zipline/alphalens/sklearn/openai-gym etc as well. Good references to have,Other Models,2021-07-03 17:54:20,646.0,424.0,2.0,2019-05-07 11:04:25,2021-01-19 07:51:00,PacktPublishing/Hands-On-Machine-Learning-for-Algorithmic-Trading,active,5.0,39:24.6
Machine Learning in Asset Management—Part 1: Portfolio Construction—Trading Strategies,https://jfds.pm-research.com/content/2/1/10,,Personal Papers,,,,,,,,,,
Financial Event Prediction using Machine Learning,https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3481555,,Personal Papers,,,,,,,,,,
Machine Learning in Asset Management,https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3420952,,Personal Papers,,,,,,,,,,
Machine Learning in Asset Management—Part 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,,,,,,,,,,
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,,
PyPortfolioOpt,https://github.com/robertmartin8/PyPortfolioOpt,"Financial portfolio optimisation, including classical efficient frontier and advanced methods.",Portfolio Selection and Optimisation,2021-07-10 08:55:14,2143.0,533.0,18.0,2018-05-29 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,2021-07-09 00:16:12,1328.0,641.0,6.0,2017-11-12 16:08:44,2019-05-09 09:50:18,ZhengyaoJiang/PGPortfolio,inactive,,
Modern Portfolio Theory,https://nbviewer.jupyter.org/github/Marigold/universal-portfolios/blob/master/modern-portfolio-theory.ipynb,Universal portfolios; modern portfolio theory.,Portfolio Selection and Optimisation,,,,,,,,,,
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,,
Online Portfolio Selection,https://nbviewer.jupyter.org/github/paulperry/quant/blob/master/OLPS_Comparison.ipynb,****Comparing OLPS algorithms on a diversified set of ETFs.,Portfolio Selection and Optimisation,,,,,,,,,,
Efficient Frontier,https://github.com/tthustla/efficient_frontier/blob/master/Efficient%20_Frontier_implementation.ipynb,Modern Portfolio Theory.,Portfolio Selection and Optimisation,2021-07-07 09:40:52,111.0,59.0,1.0,2018-02-17 08:19:46,2018-02-27 13:16:57,tthustla/efficient_frontier,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,,
Riskfolio-Lib,https://github.com/dcajasn/Riskfolio-Lib,NEW,Portfolio Selection and Optimisation,2021-07-10 15:35:22,543.0,85.0,1.0,2020-03-02 19:49:06,2021-07-03 22:53:28,dcajasn/Riskfolio-Lib,active,,37:19.5
riskparity.py,https://github.com/dppalomar/riskparity.py,NEW,Portfolio Selection and Optimisation,2021-07-06 06:58:33,156.0,36.0,2.0,2019-07-13 21:30:55,2021-06-10 12:25:08,dppalomar/riskparity.py,active,,37:19.5
Reinforcement Learning,https://github.com/filangel/qtrader,Reinforcement Learning for Portfolio Management.,Portfolio Selection and Optimisation,2021-07-04 14:40:03,367.0,152.0,1.0,2017-10-07 09:14:33,2018-06-26 09:22:27,filangelos/qtrader,inactive,,
node-finance,https://github.com/albertosantini/node-finance,NEW,Portfolio Selection and Optimisation,2021-05-27 04:16:16,105.0,26.0,3.0,2011-09-17 17:49:56,2021-04-05 08:01:12,albertosantini/node-finance,active,,37:19.5
Distribution Characteristic Optimisation,https://github.com/VivekPa/OptimalPortfolio,Extends classical portfolio optimisation to take the skewness and kurtosis of the distribution of market invariants into account.,Portfolio Selection and Optimisation,2021-07-08 05:52:52,248.0,83.0,3.0,2018-11-16 12:20:25,2021-06-29 04:28:09,VivekPa/OptimalPortfolio,active,,
DeepDow,https://github.com/jankrepl/deepdow,Portfolio optimization with deep learning.,Portfolio Selection and Optimisation,2021-07-10 11:06:58,363.0,66.0,3.0,2020-02-02 08:46:33,2021-07-09 14:59:21,jankrepl/deepdow,active,,
Extensive NLP,https://github.com/TiesdeKok/Python_NLP_Tutorial/blob/master/NLP_Notebook.ipynb,Comprehensive NLP techniques for accounting research.,Textual,2021-06-20 19:27:08,81.0,45.0,1.0,2017-10-25 07:10:26,2020-06-05 03:28:46,TiesdeKok/Python_NLP_Tutorial,active,,
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,,
Financial Statement Sentiment,https://github.com/MAydogdu/TextualAnalysis,Extracting sentiment from financial statements using neural networks.,Textual,2021-05-07 20:35:27,11.0,8.0,1.0,2018-06-04 20:54:14,2018-06-04 20:56:02,MAydogdu/TextualAnalysis,inactive,,
NLP,https://github.com/toamitesh/NLPinFinance,This project assembles a lot of NLP operations needed for finance domain.,Textual,,,,,,,toamitesh/NLPinFinance,,,
FinNLP-Progress,https://github.com/YangLinyi/FinNLP-Progress,NEW,Textual,2021-07-09 01:43:47,180.0,23.0,5.0,2020-05-21 09:59:56,2021-06-04 08:29:05,YangLinyi/FinNLP-Progress,active,,24:28.5
financial-news-dataset,https://github.com/philipperemy/financial-news-dataset,NEW,Textual,2021-06-24 10:04:05,158.0,77.0,1.0,2016-08-23 13:29:07,2021-03-04 06:34:24,philipperemy/financial-news-dataset,active,,24:28.5
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,,
news-emotion,https://github.com/dongyuanxin/news-emotion,NEW,Textual,2021-07-08 05:25:45,252.0,122.0,1.0,2017-09-14 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
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,,
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,2021-07-08 14:47:38,241.0,39.0,2.0,2019-10-03 03:53:20,2020-02-01 08:28:16,icoxfog417/awesome-financial-nlp,active,,24:28.5
Accounting Anomalies,https://github.com/GitiHubi/deepAI/blob/master/GTC_2018_Lab-solutions.ipynb,Using deep-learning frameworks to identify accounting anomalies.,Textual,2021-07-02 01:23:02,118.0,52.0,2.0,2017-05-24 12:36:38,2019-08-07 21:47:08,GitiHubi/deepAI,active,,
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,,
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
Reinforcement Learning,https://github.com/filangel/qtrader,Reinforcement Learning for Portfolio Management.,Portfolio Selection and Optimisation,2021-07-04 14:40:03,367.0,152.0,1.0,2017-10-07 09:14:33,2018-06-26 09:22:27,filangelos/qtrader,inactive,,
riskparity.py,https://github.com/dppalomar/riskparity.py,NEW,Portfolio Selection and Optimisation,2021-07-06 06:58:33,156.0,36.0,2.0,2019-07-13 21:30:55,2021-06-10 12:25:08,dppalomar/riskparity.py,active,,37:19.5
OLMAR Algorithm,https://github.com/charlessutton/OLMAR/blob/master/Part3.ipynb,Relative importance of each component of the OLMAR algorithm.,Portfolio Selection and Optimisation,2021-06-17 19:20:53,8.0,4.0,1.0,2016-07-26 16:20:10,2016-12-30 11:40:53,charlessutton/OLMAR,inactive,,
PyPortfolioOpt,https://github.com/robertmartin8/PyPortfolioOpt,"Financial portfolio optimisation, including classical efficient frontier and advanced methods.",Portfolio Selection and Optimisation,2021-07-10 08:55:14,2143.0,533.0,18.0,2018-05-29 13:30:30,2021-06-17 10:18:37,robertmartin8/PyPortfolioOpt,active,,
Online Portfolio Selection,https://nbviewer.jupyter.org/github/paulperry/quant/blob/master/OLPS_Comparison.ipynb,****Comparing OLPS algorithms on a diversified set of ETFs.,Portfolio Selection and Optimisation,,,,,,,,,,
401K Portfolio Optimisation,https://github.com/otosman/Python-for-Finance/blob/master/Portfolio%20Optimization%20401k.ipynb,Portfolio analyses and optimisation for 401K.,Portfolio Selection and Optimisation,2020-12-25 09:39:33,14.0,5.0,1.0,2018-08-01 19:48:24,2019-09-05 11:18:56,otosman/Python-for-Finance,active,,
Modern Portfolio Theory,https://nbviewer.jupyter.org/github/Marigold/universal-portfolios/blob/master/modern-portfolio-theory.ipynb,Universal portfolios; modern portfolio theory.,Portfolio Selection and Optimisation,,,,,,,,,,
Policy Gradient Portfolio,https://github.com/ZhengyaoJiang/PGPortfolio,A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem.,Portfolio Selection and Optimisation,2021-07-09 00:16:12,1328.0,641.0,6.0,2017-11-12 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,2021-07-07 09:40:52,111.0,59.0,1.0,2018-02-17 08:19:46,2018-02-27 13:16:57,tthustla/efficient_frontier,inactive,,
FinBERT,https://github.com/psnonis/FinBERT,NEW,Textual,2021-07-08 12:28:51,147.0,48.0,3.0,2019-07-09 16:34:27,2020-05-19 02:02:20,psnonis/FinBERT,active,,24:28.5
AnomalyDetectionOnRisk,https://github.com/SimonWesterlindVPD/AnomalyDetectionOnRisk,NEW,Unsupervised,2021-05-19 11:40:07,12.0,5.0,1.0,2018-05-31 15:53:02,2018-05-31 16:18:28,SimonWesterlindVPD/AnomalyDetectionOnRisk,inactive,,24:29.9
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,,
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,,
Accounting Anomalies,https://github.com/GitiHubi/deepAI/blob/master/GTC_2018_Lab-solutions.ipynb,Using deep-learning frameworks to identify accounting anomalies.,Textual,2021-07-02 01:23:02,118.0,52.0,2.0,2017-05-24 12:36:38,2019-08-07 21:47:08,GitiHubi/deepAI,active,,
awesome-financial-nlp,https://github.com/icoxfog417/awesome-financial-nlp,NEW,Textual,2021-07-08 14:47:38,241.0,39.0,2.0,2019-10-03 03:53:20,2020-02-01 08:28:16,icoxfog417/awesome-financial-nlp,active,,24:28.5
Fund classification,https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb,Fund classification using text mining and NLP.,Textual,2021-03-31 02:12:50,4.0,3.0,1.0,2018-04-16 22:18:55,2018-06-07 22:01:32,frechfrechfrech/Mutual-Fund-Market-Clusters,inactive,,
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
news-emotion,https://github.com/dongyuanxin/news-emotion,NEW,Textual,2021-07-08 05:25:45,252.0,122.0,1.0,2017-09-14 02:59:03,2018-06-11 13:47:51,dongyuanxin/news-emotion,inactive,,24:28.5
NLP Event,https://github.com/yuriak/DLQuant,Applying Deep Learning and NLP in Quantitative Trading.,Textual,2021-06-11 05:42:05,72.0,32.0,1.0,2018-07-02 23:50:52,2019-01-31 14:08:20,yuriak/DLQuant,inactive,,
financial-news-dataset,https://github.com/philipperemy/financial-news-dataset,NEW,Textual,2021-06-24 10:04:05,158.0,77.0,1.0,2016-08-23 13:29:07,2021-03-04 06:34:24,philipperemy/financial-news-dataset,active,,24:28.5
FinNLP-Progress,https://github.com/YangLinyi/FinNLP-Progress,NEW,Textual,2021-07-09 01:43:47,180.0,23.0,5.0,2020-05-21 09:59:56,2021-06-04 08:29:05,YangLinyi/FinNLP-Progress,active,,24:28.5
NLP,https://github.com/toamitesh/NLPinFinance,This project assembles a lot of NLP operations needed for finance domain.,Textual,,,,,,,toamitesh/NLPinFinance,,,
Financial Statement Sentiment,https://github.com/MAydogdu/TextualAnalysis,Extracting sentiment from financial statements using neural networks.,Textual,2021-05-07 20:35:27,11.0,8.0,1.0,2018-06-04 20:54:14,2018-06-04 20:56:02,MAydogdu/TextualAnalysis,inactive,,
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,,
Extensive NLP,https://github.com/TiesdeKok/Python_NLP_Tutorial/blob/master/NLP_Notebook.ipynb,Comprehensive NLP techniques for accounting research.,Textual,2021-06-20 19:27:08,81.0,45.0,1.0,2017-10-25 07:10:26,2020-06-05 03:28:46,TiesdeKok/Python_NLP_Tutorial,active,,
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,,
Stock_Support_Resistance_ML,https://github.com/judopro/Stock_Support_Resistance_ML,NEW,Unsupervised,2021-07-06 03:01:49,22.0,19.0,1.0,2019-12-22 20:25:48,2021-05-02 04:25:21,judopro/Stock_Support_Resistance_ML,active,,2021-05-07 01:53:28.160570
all-classification-templetes-for-ML,https://github.com/sayantann11/all-classification-templetes-for-ML,NEW,Unsupervised,2021-07-05 08:35:31,33.0,14.0,1.0,2020-05-05 10:28:52,2020-05-05 10:30:32,sayantann11/all-classification-templetes-for-ML,active,,24:29.9
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,,
Pairs Trading,https://github.com/marketneutral/pairs-trading-with-ML/blob/master/Pairs%2BTrading%2Bwith%2BMachine%2BLearning.ipynb,Finding pairs with cluster analysis.,Unsupervised,2021-06-08 10:54:06,85.0,40.0,0.0,2017-09-05 19:19:19,2017-09-27 20:42:14,marketneutral/pairs-trading-with-ML,inactive,,
Eigen-Portfolio,https://github.com/Gustrigos/Eigen-Portfolio,NEW,Unsupervised,2021-07-07 01:28:39,40.0,11.0,1.0,2018-09-05 05:29:18,2020-04-09 21:40:04,Gustrigos/Eigen-Portfolio,active,,24:29.9
PCA Pairs Trading,https://github.com/joelQF/quant-finance/tree/master/Artificial_IntelIigence_for_Trading,"PCA, Factor Returns, and trading strategies.",Unsupervised,,,,,,,joelQF/quant-finance,,,
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
Pairs Trading,https://github.com/marketneutral/pairs-trading-with-ML/blob/master/Pairs%2BTrading%2Bwith%2BMachine%2BLearning.ipynb,Finding pairs with cluster analysis.,Unsupervised,2021-06-08 10:54:06,85.0,40.0,0.0,2017-09-05 19:19:19,2017-09-27 20:42:14,marketneutral/pairs-trading-with-ML,inactive,,
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,,
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
all-classification-templetes-for-ML,https://github.com/sayantann11/all-classification-templetes-for-ML,NEW,Unsupervised,2021-07-05 08:35:31,33.0,14.0,1.0,2020-05-05 10:28:52,2020-05-05 10:30:32,sayantann11/all-classification-templetes-for-ML,active,,24:29.9
Stock_Support_Resistance_ML,https://github.com/judopro/Stock_Support_Resistance_ML,NEW,Unsupervised,2021-07-06 03:01:49,22.0,19.0,1.0,2019-12-22 20:25:48,2021-05-02 04:25:21,judopro/Stock_Support_Resistance_ML,active,,2021-05-07 01:53:28.160570
Fund Clusters,https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb,Data exploration of fund clusters.,Unsupervised,2021-03-31 02:12:50,4.0,3.0,1.0,2018-04-16 22:18:55,2018-06-07 22:01:32,frechfrechfrech/Mutual-Fund-Market-Clusters,inactive,,
AnomalyDetectionOnRisk,https://github.com/SimonWesterlindVPD/AnomalyDetectionOnRisk,NEW,Unsupervised,2021-05-19 11:40:07,12.0,5.0,1.0,2018-05-31 15:53:02,2018-05-31 16:18:28,SimonWesterlindVPD/AnomalyDetectionOnRisk,inactive,,24:29.9
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
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,,
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17 Stanford Advanced Financial Technologies https://fintech.stanford.edu/ Stanford Advanced Financial Technologies Laboratory Colleges Centers and Departments
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97 Rating Industries http://www.ratingshistory.info/ Data
98 cointrader Financial Corporate https://github.com/timolson/cointrader http://raw.rutgers.edu/Corporate%20Financial%20Data.html java based platform for trading crypto. Relevant sections including using esper event queries to transform data and place orders Data Processing Techniques and Transformations Data 2021-07-07 15:00:50 366.0 145.0 9.0 2014-06-01 01:14:12 2021-05-19 17:05:49 timolson/cointrader active 2.0 12:49.2
99 CryptoNets Capital Markets Data https://github.com/microsoft/CryptoNets https://www.capitalmarketsdata.com/ CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with [Homomorphic Encryption](https://www.cs.cmu.edu/~odonnell/hits09/gentry-homomorphic-encryption.pdf). Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted. Data Processing Techniques and Transformations Data 2021-06-12 18:53:10 160.0 47.0 4.0 2019-06-02 05:48:39 2019-09-12 13:03:05 microsoft/CryptoNets active 2.0 12:49.2
100 Google-Finance-Stock-Data-Analysis https://github.com/timestocome/StockMarketData https://github.com/hpnhxxwn/Google-Finance-Stock-Data-Analysis https://github.com/timestocome/StockMarketData data processing platform which stream data from kafka. The example shows two incoming data stream stock vs tweets and two spark streams are created to consume the kafka data then end results are stored in cassandra. Older tech stacks were used and not actively maintained. Data Processing Techniques and Transformations Data 2021-04-24 12:13:48 2021-06-26 07:19:31 71.0 7.0 10.0 5.0 1.0 2017-07-23 02:59:59 2017-05-10 21:49:45 2017-07-23 03:10:35 2017-08-06 19:23:18 hpnhxxwn/Google-Finance-Stock-Data-Analysis timestocome/StockMarketData inactive 3.0 12:49.2
101 Advanced ML EDGAR https://github.com/BlackArbsCEO/Adv_Fin_ML_Exercises https://github.com/TiesdeKok/UW_Python_Camp/blob/master/Materials/Session_5/EDGAR_walkthrough.ipynb Exercises to book [advances in financial machine learning](https://www.wiley.com/en-us/Advances+in+Financial+Machine+Learning-p-9781119482109). Relevant topics include data cleaning and outlier detection (using MAD) Data Processing Techniques and Transformations Data 2021-07-08 22:18:00 2021-06-29 15:03:48 1044.0 13.0 457.0 11.0 4.0 1.0 2018-04-25 17:22:40 2018-06-11 22:51:57 2020-01-16 17:25:41 2018-07-10 18:03:52 BlackArbsCEO/Adv_Fin_ML_Exercises TiesdeKok/UW_Python_Camp active inactive 4.0
102 Employee Count SEC Filings https://github.com/healthgradient/sec_employee_information_extraction Data 2021-04-18 03:25:43 11.0 2.0 1.0 2018-06-26 23:33:51 2018-08-14 01:31:13 healthgradient/sec_employee_information_extraction inactive
103 SEC Parsing https://github.com/healthgradient/sec-doc-info-extraction/blob/master/classify_sections_containing_relevant_information.ipynb Data 2021-02-27 06:34:55 9.0 6.0 1.0 2018-06-16 14:30:06 2018-06-16 17:23:46 healthgradient/sec-doc-info-extraction inactive
104 IRS http://social-metrics.org/sox/ Data
105 http://finance.yahoo.com/ http://finance.yahoo.com/ Data
106 Web Scraping (FirmAI) https://github.com/firmai/business-machine-learning/blob/master/www.firmai.org/data Data 2021-07-10 16:25:56 590.0 190.0 2.0 2019-02-19 19:02:59 2020-07-22 16:48:21 firmai/business-machine-learning active
107 https://stooq.com https://stooq.com Data
108 Non-financial Corporate http://raw.rutgers.edu/Non-Financial%20Corporate%20Data.html Data
109 https://fred.stlouisfed.org/ https://fred.stlouisfed.org/ Data
110 Open Edgar https://github.com/LexPredict/openedgar Data 2021-06-23 20:36:15 180.0 64.0 6.0 2018-05-07 15:32:31 2019-05-15 08:32:30 LexPredict/openedgar inactive
111 finserv-application-blueprint https://github.com/mapr-demos/finserv-application-blueprint generate streamable data using mapr converged data platfrom built mostly in java. Uses apache [zepplin](https://zeppelin.apache.org/) for web visualization Data Processing Techniques and Transformations 2021-06-08 14:08:51 73.0 53.0 5.0 2016-09-26 19:42:54 2021-06-07 17:38:13 mapr-demos/finserv-application-blueprint active 2.0 12:49.2
112 Advanced ML https://github.com/BlackArbsCEO/Adv_Fin_ML_Exercises Exercises to book [advances in financial machine learning](https://www.wiley.com/en-us/Advances+in+Financial+Machine+Learning-p-9781119482109). Relevant topics include data cleaning and outlier detection (using MAD) Data Processing Techniques and Transformations 2021-07-08 22:18:00 1044.0 457.0 4.0 2018-04-25 17:22:40 2020-01-16 17:25:41 BlackArbsCEO/Adv_Fin_ML_Exercises active 4.0
113 Twitter-Trends https://github.com/Medha11/Twitter-Trends sentiment analysis baed on twitter data. Relevant topics include data cleaning/tokenization/data aggregation using mangodb etc. Data Processing Techniques and Transformations 2021-07-03 23:16:43 70.0 20.0 1.0 2017-05-22 17:07:45 2017-05-23 08:06:27 Medha11/Twitter-Trends inactive 3.0 12:49.2
114 CryptoNets https://github.com/microsoft/CryptoNets CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with [Homomorphic Encryption](https://www.cs.cmu.edu/~odonnell/hits09/gentry-homomorphic-encryption.pdf). Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted. Data Processing Techniques and Transformations 2021-06-12 18:53:10 160.0 47.0 4.0 2019-06-02 05:48:39 2019-09-12 13:03:05 microsoft/CryptoNets active 2.0 12:49.2
115 cointrader https://github.com/timolson/cointrader java based platform for trading crypto. Relevant sections including using esper event queries to transform data and place orders Data Processing Techniques and Transformations 2021-07-07 15:00:50 366.0 145.0 9.0 2014-06-01 01:14:12 2021-05-19 17:05:49 timolson/cointrader active 2.0 12:49.2
116 Google-Finance-Stock-Data-Analysis https://github.com/hpnhxxwn/Google-Finance-Stock-Data-Analysis data processing platform which stream data from kafka. The example shows two incoming data stream stock vs tweets and two spark streams are created to consume the kafka data then end results are stored in cassandra. Older tech stacks were used and not actively maintained. Data Processing Techniques and Transformations 2021-04-24 12:13:48 71.0 10.0 1.0 2017-07-23 02:59:59 2017-07-23 03:10:35 hpnhxxwn/Google-Finance-Stock-Data-Analysis inactive 3.0 12:49.2
117 Deep Learning IV https://github.com/achillesrasquinha/bulbea Bulbea: Deep Learning based Python Library. Deep Learning And Reinforcement Learning 2021-07-10 16:44:05 1509.0 426.0 1.0 2017-03-09 06:11:06 2017-03-19 07:42:49 achillesrasquinha/bulbea inactive 5.0
118 Machine-Learning-and-Reinforcement-Learning-in-Finance https://github.com/joelowj/Machine-Learning-and-Reinforcement-Learning-in-Finance NEW Deep Learning And Reinforcement Learning 2021-07-02 03:29:00 183.0 97.0 1.0 2018-06-26 04:30:08 2018-09-23 16:50:33 joelowj/Machine-Learning-and-Reinforcement-Learning-in-Finance inactive 39:11.1
119 Deep-Reinforcement-Stock-Trading https://github.com/Albert-Z-Guo/Deep-Reinforcement-Stock-Trading inspired by Q-trader a deep reinforcement learning repo for trading. Only 3 actions allowed (buy/hold/sell) and no transaction cost is implemented yet. Uses [empyrical](https://github.com/quantopian/empyrical) for portfolio stats Deep Learning And Reinforcement Learning 2021-07-02 03:14:09 162.0 47.0 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
120 RL V https://github.com/gstenger98/rl-finance Building an Agent to Trade with Reinforcement Learning. Deep Learning And Reinforcement Learning 2021-04-08 18:57:53 33.0 9.0 5.0 2019-01-16 00:43:36 2020-03-19 20:28:08 gstenger98/rl-finance active 2.0
121 FinRL https://github.com/AI4Finance-LLC/FinRL NEW Deep Learning And Reinforcement Learning 2021-07-10 08:25:00 2267.0 597.0 24.0 2020-07-26 13:18:16 2021-07-06 18:19:04 AI4Finance-LLC/FinRL active 13:03.7
122 Deep Learning https://github.com/keon/deepstock Technical experimentations to beat the stock market using deep learning. Deep Learning And Reinforcement Learning 2021-07-07 04:32:05 431.0 154.0 2.0 2016-12-12 02:15:12 2017-03-04 08:37:29 keon/deepstock inactive 4.0
123 RL II https://github.com/deependersingla/deep_trader reinforcement learning on stock market and agent tries to learn trading. Deep Learning And Reinforcement Learning 2021-07-08 02:35:53 1355.0 487.0 3.0 2016-06-11 07:27:10 2018-01-22 14:35:50 deependersingla/deep_trader inactive 3.0
124 Neural Network https://github.com/VivekPa/IntroNeuralNetworks Neural networks to predict stock prices. Deep Learning And Reinforcement Learning 2021-07-09 18:35:20 516.0 178.0 2.0 2018-09-10 06:34:53 2018-11-21 07:39:31 VivekPa/IntroNeuralNetworks inactive 4.0
125 RL https://github.com/kh-kim/stock_market_reinforcement_learning OpenGym with Deep Q-learning and Policy Gradient. Deep Learning And Reinforcement Learning 2021-07-08 02:35:48 729.0 304.0 1.0 2016-10-04 14:42:19 2016-12-23 07:34:08 kh-kim/stock_market_reinforcement_learning inactive 2.0
126 LTSM Recurrent https://github.com/VivekPa/AIAlpha OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network. Deep Learning And Reinforcement Learning 2021-07-10 20:30:03 1257.0 387.0 2.0 2018-10-07 03:58:26 2019-08-03 09:00:44 VivekPa/AIAlpha active 4.0
127 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
128 ARIMA-LTSM Hybrid https://github.com/imhgchoi/Corr_Prediction_ARIMA_LSTM_Hybrid Hybrid model to predict future price correlation coefficients of two assets. Deep Learning And Reinforcement Learning 2021-07-06 06:13:55 231.0 92.0 1.0 2018-08-05 02:13:21 2018-10-01 11:25:53 imhgchoi/ARIMA-LSTM-hybrid-corrcoef-predict inactive 3.0
129 gym-trading https://github.com/hackthemarket/gym-trading NEW Deep Learning And Reinforcement Learning 2021-07-04 14:27:24 597.0 198.0 2.0 2016-12-09 20:46:19 2017-12-24 15:34:37 hackthemarket/gym-trading inactive 39:11.1
130 maro https://github.com/microsoft/maro NEW Deep Learning And Reinforcement Learning 2021-07-09 10:53:31 444.0 82.0 19.0 2019-12-27 06:48:27 2021-07-09 10:53:21 microsoft/maro active 39:11.1
131 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 2021-07-10 20:50:44 1375.0 477.0 15.0 2019-04-27 18:35:15 2019-10-17 16:25:49 notadamking/RLTrader active 5.0 3/31/21 8:00
132 Pair-Trading-Reinforcement-Learning https://github.com/wai-i/Pair-Trading-Reinforcement-Learning NEW Deep Learning And Reinforcement Learning 2021-07-08 03:36:44 146.0 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
133 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 2021-07-09 05:17:36 333.0 162.0 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
134 RL III https://github.com/samre12/deep-trading-agent Github -Deep Reinforcement Learning based Trading Agent for Bitcoin. Deep Learning And Reinforcement Learning 2021-07-09 03:11:12 600.0 204.0 1.0 2017-09-21 17:05:19 2018-04-13 16:33:21 samre12/deep-trading-agent inactive 3.0
135 trading-rl https://github.com/Kostis-S-Z/trading-rl Deep reinforcement learning for financial trading using [gym](https://gym.openai.com/) and [keras-rl](https://github.com/keras-rl/keras-rl) on FX dataset (EURUSD) not actively maintained Deep Learning And Reinforcement Learning 2021-06-25 07:52:45 182.0 38.0 2.0 2019-04-22 10:03:21 2020-09-28 09:07:18 Kostis-S-Z/trading-rl active 3.0 3/31/21 8:00
136 Deep Learning II https://github.com/LiamConnell/deep-algotrading/tree/master/notebooks Tensorflow Regression. Deep Learning And Reinforcement Learning 2021-06-24 15:46:03 179.0 68.0 1.0 2016-07-12 12:56:10 2018-02-16 02:43:36 LiamConnell/deep-algotrading inactive 3.0
137 TradingGym https://github.com/Yvictor/TradingGym NEW Deep Learning And Reinforcement Learning 2021-07-10 15:30:40 890.0 245.0 2.0 2017-05-01 13:53:32 2018-02-14 13:58:18 Yvictor/TradingGym inactive 39:11.1
138 Stock-Prediction-Models https://github.com/huseinzol05/Stock-Prediction-Models very good curated list of notebooks showing deep learning + reinforcement learning models. Also contain topics on outlier detections/overbought oversold study/monte carlo simulartions/sentiment analysis from text (text storage/parsing is not detailed but it mentioned using [BERT](https://github.com/google-research/bert)) Deep Learning And Reinforcement Learning 2021-07-10 15:55:44 4114.0 1692.0 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
139 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 2021-07-11 00:45:10 1155.0 333.0 2.0 2018-03-10 11:22:00 2018-09-02 17:21:38 Ceruleanacg/Personae inactive 5.0 3/31/21 8:00
140 tensortrade https://github.com/tensortrade-org/tensortrade NEW Deep Learning And Reinforcement Learning 2021-07-11 01:12:02 3318.0 777.0 42.0 2019-07-30 21:28:32 2021-06-19 21:14:43 tensortrade-org/tensortrade active 39:11.1
141 BitcoinForecast https://github.com/PiSimo/BitcoinForecast RNN model to predict short term price movement (in this case BTC for the next 9 minutes) [deepchart](https://pisimo.github.io/DeepChart/) is used to visualize the model Deep Learning And Reinforcement Learning 2021-06-26 06:24:53 303.0 133.0 3.0 2017-03-10 10:52:02 2018-06-11 08:07:02 PiSimo/BitcoinForecast inactive 3.0 3/31/21 8:00
142 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 2021-07-06 08:11:20 136.0 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
143 Deep Learning III https://github.com/Rachnog/Deep-Trading Algorithmic trading with deep learning experiments. Deep Learning And Reinforcement Learning 2021-07-08 02:35:42 1287.0 681.0 1.0 2016-06-18 18:23:06 2018-08-07 15:24:45 Rachnog/Deep-Trading inactive 5.0
144 QLearning_Trading https://github.com/ucaiado/QLearning_Trading NEW Deep Learning And Reinforcement Learning 2021-06-30 23:20:12 447.0 172.0 1.0 2016-08-10 06:02:23 2016-10-15 02:36:09 ucaiado/QLearning_Trading inactive 39:11.1
145 a3c_trading https://github.com/evgps/a3c_trading NEW Deep Learning And Reinforcement Learning 2021-06-30 02:13:36 323.0 105.0 1.0 2018-06-04 15:30:16 2020-05-23 14:47:54 evgps/a3c_trading active 39:11.1
TradingGym https://github.com/cove9988/TradingGym NEW Deep Learning And Reinforcement Learning 2021-06-25 08:29:32 114.0 38.0 3.0 2017-11-06 00:50:01 2017-11-15 23:55:32 cove9988/TradingGym inactive 39:11.1
146 deep-RL-trading https://github.com/golsun/deep-RL-trading trading game comparing RNN vs CNN vs MLP based on [paper](https://arxiv.org/abs/1803.03916) Deep Learning And Reinforcement Learning 2021-07-05 08:01:19 252.0 112.0 1.0 2018-02-25 17:41:42 2020-12-01 22:06:39 golsun/deep-RL-trading active 3.0 3/31/21 8:00
147 crypto-rl https://github.com/sadighian/crypto-rl Retrieve limit order book level data from coinbase pro and bitfinex -> record in [arctic](https://github.com/man-group/arctic) timeseries database then implemented trend following strategies (market orders) and market making (limit orders). Uses reinforcement learning (DQN) [keras-rl](https://github.com/keras-rl/keras-rl) to create agents and uses [openai gym](https://gym.openai.com/) to implement POMDP (partially observable markov decision process) Deep Learning And Reinforcement Learning 2021-07-10 21:08:13 397.0 120.0 1.0 2018-06-21 01:06:01 2020-11-05 11:08:19 sadighian/crypto-rl active 3.0 3/31/21 8:00
148 Deep-Learning-Machine-Learning-Stock https://github.com/LastAncientOne/Deep-Learning-Machine-Learning-Stock curated list of notebooks for machine learning models. Start with very simple linear models to more advanced reinforcement learning type of models. Problem with this repo is that the library version numbers may be changing over time and there's no specific way to track and upgrade Deep Learning And Reinforcement Learning 2021-07-11 00:44:51 320.0 117.0 1.0 2018-09-29 23:38:06 2021-07-09 00:52:28 LastAncientOne/Deep-Learning-Machine-Learning-Stock active 3.0 3/31/21 8:00
151 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 02:49:19 266.0 148.0 1.0 2017-08-21 16:00:42 2017-08-21 17:23:48 sonaam1234/DeepLearningInFinance inactive 3.0 3/31/21 8:00
152 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
153 Trading-Gym https://github.com/thedimlebowski/Trading-Gym NEW Deep Learning And Reinforcement Learning 2021-07-10 15:30:35 515.0 146.0 3.0 2017-06-13 13:14:48 2017-07-10 08:09:30 thedimlebowski/Trading-Gym inactive 39:11.1
154 BitcoinForecast TradingGym https://github.com/PiSimo/BitcoinForecast https://github.com/cove9988/TradingGym 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 2021-06-26 06:24:53 2021-06-25 08:29:32 303.0 114.0 133.0 38.0 3.0 2017-03-10 10:52:02 2017-11-06 00:50:01 2018-06-11 08:07:02 2017-11-15 23:55:32 PiSimo/BitcoinForecast cove9988/TradingGym inactive 3.0 3/31/21 8:00 39:11.1
155 RL Trading https://colab.research.google.com/drive/1FzLCI0AO3c7A4bp9Fi01UwXeoc7BN8sW A collection of 25+ Reinforcement Learning Trading Strategies -Google Colab. Deep Learning And Reinforcement Learning 4.0
awesome-deep-trading https://github.com/cbailes/awesome-deep-trading curated list of papers/repos on topics like CNN/LSTM/GAN/Reinforcement Learning etc. Categorized as deep learning for now but there are other topics here. Manually maintained by cbailes Deep Learning And Reinforcement Learning 2021-07-09 07:44:13 650.0 162.0 1.0 2018-11-26 03:23:04 2021-01-01 09:41:21 cbailes/awesome-deep-trading active 4.0 3/31/21 8:00
AI Trading https://github.com/borisbanushev/stockpredictionai/blob/master/readme2.md AI to predict stock market movements. Deep Learning And Reinforcement Learning 2021-07-10 18:40:35 3018.0 1431.0 1.0 2019-01-09 08:02:47 2019-02-11 16:32:47 borisbanushev/stockpredictionai inactive 5.0
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 2021-07-06 17:01:14 149.0 70.0 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
DQN-DDPG_Stock_Trading https://github.com/AI4Finance-LLC/DQN-DDPG_Stock_Trading merged into FinRL library and uses [gym](https://gym.openai.com/) and implementation of DQN Deep Learning And Reinforcement Learning 2021-07-08 22:10:47 151.0 56.0 4.0 2018-09-19 03:17:06 2020-11-26 16:58:00 AI4Finance-LLC/DQN-DDPG_Stock_Trading active 3.0 3/31/21 8:00
FinRL-Library https://github.com/AI4Finance-LLC/FinRL-Library started by Columbia university engineering students and designed as an end to end deep reinforcement learning library for automated trading platform. Implementation of DQN DDQN DDPG etc using PyTorch and [gym](https://gym.openai.com/) use [pyfolio](https://github.com/quantopian/pyfolio) for showing backtesting stats. Big contributions on Proximal Policy Optimization (PPO) advantage actor critic (A2C) and Deep Deterministic Policy Gradient (DDPG) agents for trading Deep Learning And Reinforcement Learning 2021-07-10 08:25:00 2267.0 597.0 24.0 2020-07-26 13:18:16 2021-07-06 18:19:04 AI4Finance-LLC/FinRL active 5.0 3/31/21 8:00
Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020 https://github.com/AI4Finance-LLC/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020 Part of FinRL and provided code for paper [deep reinformacement learning for automated stock trading](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3690996) focuses on ensemble. Deep Learning And Reinforcement Learning 2021-07-10 18:13:48 701.0 310.0 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
Pair Trading RL https://github.com/shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading Using deep actor-critic model to learn best strategies in pair trading. Deep Learning And Reinforcement Learning 2021-06-23 21:18:24 249.0 117.0 1.0 2017-05-18 16:47:11 2017-05-18 16:56:38 shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading inactive 3.0
156 RLQuant https://github.com/yuriak/RLQuant NEW Deep Learning And Reinforcement Learning 2021-07-07 19:27:58 280.0 94.0 1.0 2018-04-05 05:42:44 2018-08-13 04:18:29 yuriak/RLQuant inactive 39:11.1
157 Pair Trading RL https://github.com/shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading Using deep actor-critic model to learn best strategies in pair trading. Deep Learning And Reinforcement Learning 2021-06-23 21:18:24 249.0 117.0 1.0 2017-05-18 16:47:11 2017-05-18 16:56:38 shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading inactive 3.0
158 Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020 https://github.com/AI4Finance-LLC/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020 Part of FinRL and provided code for paper [deep reinformacement learning for automated stock trading](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3690996) focuses on ensemble. Deep Learning And Reinforcement Learning 2021-07-10 18:13:48 701.0 310.0 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
159 FinRL-Library https://github.com/AI4Finance-LLC/FinRL-Library started by Columbia university engineering students and designed as an end to end deep reinforcement learning library for automated trading platform. Implementation of DQN DDQN DDPG etc using PyTorch and [gym](https://gym.openai.com/) use [pyfolio](https://github.com/quantopian/pyfolio) for showing backtesting stats. Big contributions on Proximal Policy Optimization (PPO) advantage actor critic (A2C) and Deep Deterministic Policy Gradient (DDPG) agents for trading Deep Learning And Reinforcement Learning 2021-07-10 08:25:00 2267.0 597.0 24.0 2020-07-26 13:18:16 2021-07-06 18:19:04 AI4Finance-LLC/FinRL active 5.0 3/31/21 8:00
160 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
161 AutomatedStockTrading-DeepQ-Learning Deep-Reinforcement-Learning-in-Trading https://github.com/sachink2010/AutomatedStockTrading-DeepQ-Learning https://github.com/saeed349/Deep-Reinforcement-Learning-in-Trading 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 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 2021-07-06 08:11:20 2021-07-06 17:01:14 136.0 149.0 53.0 70.0 2.0 1.0 2019-02-23 12:01:21 2018-05-11 00:52:14 2020-02-25 18:16:34 2019-10-26 14:22:44 sachink2010/AutomatedStockTrading-DeepQ-Learning saeed349/Deep-Reinforcement-Learning-in-Trading active 3.0 3/31/21 8:00
162 Deep Learning III AI Trading https://github.com/Rachnog/Deep-Trading https://github.com/borisbanushev/stockpredictionai/blob/master/readme2.md Algorithmic trading with deep learning experiments. AI to predict stock market movements. Deep Learning And Reinforcement Learning 2021-07-08 02:35:42 2021-07-10 18:40:35 1287.0 3018.0 681.0 1431.0 1.0 2016-06-18 18:23:06 2019-01-09 08:02:47 2018-08-07 15:24:45 2019-02-11 16:32:47 Rachnog/Deep-Trading borisbanushev/stockpredictionai inactive 5.0
163 tensortrade awesome-deep-trading https://github.com/tensortrade-org/tensortrade https://github.com/cbailes/awesome-deep-trading NEW curated list of papers/repos on topics like CNN/LSTM/GAN/Reinforcement Learning etc. Categorized as deep learning for now but there are other topics here. Manually maintained by cbailes Deep Learning And Reinforcement Learning 2021-07-11 01:12:02 2021-07-09 07:44:13 3318.0 650.0 777.0 162.0 42.0 1.0 2019-07-30 21:28:32 2018-11-26 03:23:04 2021-06-19 21:14:43 2021-01-01 09:41:21 tensortrade-org/tensortrade cbailes/awesome-deep-trading active 4.0 39:11.1 3/31/21 8:00
164 Stock-Prediction-Models DQN-DDPG_Stock_Trading https://github.com/huseinzol05/Stock-Prediction-Models https://github.com/AI4Finance-LLC/DQN-DDPG_Stock_Trading 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)) merged into FinRL library and uses [gym](https://gym.openai.com/) and implementation of DQN Deep Learning And Reinforcement Learning 2021-07-10 15:55:44 2021-07-08 22:10:47 4114.0 151.0 1692.0 56.0 2.0 4.0 2017-12-18 10:49:59 2018-09-19 03:17:06 2021-01-05 10:31:50 2020-11-26 16:58:00 huseinzol05/Stock-Prediction-Models AI4Finance-LLC/DQN-DDPG_Stock_Trading active 5.0 3.0 3/31/21 8:00
RL II https://github.com/deependersingla/deep_trader reinforcement learning on stock market and agent tries to learn trading. Deep Learning And Reinforcement Learning 2021-07-08 02:35:53 1355.0 487.0 3.0 2016-06-11 07:27:10 2018-01-22 14:35:50 deependersingla/deep_trader inactive 3.0
Machine-Learning-and-Reinforcement-Learning-in-Finance https://github.com/joelowj/Machine-Learning-and-Reinforcement-Learning-in-Finance NEW Deep Learning And Reinforcement Learning 2021-07-02 03:29:00 183.0 97.0 1.0 2018-06-26 04:30:08 2018-09-23 16:50:33 joelowj/Machine-Learning-and-Reinforcement-Learning-in-Finance inactive 39:11.1
Deep-Reinforcement-Stock-Trading https://github.com/Albert-Z-Guo/Deep-Reinforcement-Stock-Trading inspired by Q-trader a deep reinforcement learning repo for trading. Only 3 actions allowed (buy/hold/sell) and no transaction cost is implemented yet. Uses [empyrical](https://github.com/quantopian/empyrical) for portfolio stats Deep Learning And Reinforcement Learning 2021-07-02 03:14:09 162.0 47.0 2.0 2019-05-19 22:20:05 2020-09-27 19:22:28 Albert-Z-Guo/Deep-Reinforcement-Stock-Trading active 3.0 3/31/21 8:00
RL V https://github.com/gstenger98/rl-finance Building an Agent to Trade with Reinforcement Learning. Deep Learning And Reinforcement Learning 2021-04-08 18:57:53 33.0 9.0 5.0 2019-01-16 00:43:36 2020-03-19 20:28:08 gstenger98/rl-finance active 2.0
FinRL https://github.com/AI4Finance-LLC/FinRL NEW Deep Learning And Reinforcement Learning 2021-07-10 08:25:00 2267.0 597.0 24.0 2020-07-26 13:18:16 2021-07-06 18:19:04 AI4Finance-LLC/FinRL active 13:03.7
Deep Learning https://github.com/keon/deepstock Technical experimentations to beat the stock market using deep learning. Deep Learning And Reinforcement Learning 2021-07-07 04:32:05 431.0 154.0 2.0 2016-12-12 02:15:12 2017-03-04 08:37:29 keon/deepstock inactive 4.0
Neural Network https://github.com/VivekPa/IntroNeuralNetworks Neural networks to predict stock prices. Deep Learning And Reinforcement Learning 2021-07-09 18:35:20 516.0 178.0 2.0 2018-09-10 06:34:53 2018-11-21 07:39:31 VivekPa/IntroNeuralNetworks inactive 4.0
RL https://github.com/kh-kim/stock_market_reinforcement_learning OpenGym with Deep Q-learning and Policy Gradient. Deep Learning And Reinforcement Learning 2021-07-08 02:35:48 729.0 304.0 1.0 2016-10-04 14:42:19 2016-12-23 07:34:08 kh-kim/stock_market_reinforcement_learning inactive 2.0
LTSM Recurrent https://github.com/VivekPa/AIAlpha OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network. Deep Learning And Reinforcement Learning 2021-07-10 20:30:03 1257.0 387.0 2.0 2018-10-07 03:58:26 2019-08-03 09:00:44 VivekPa/AIAlpha active 4.0
Deep Learning IV https://github.com/achillesrasquinha/bulbea Bulbea: Deep Learning based Python Library. Deep Learning And Reinforcement Learning 2021-07-10 16:44:05 1509.0 426.0 1.0 2017-03-09 06:11:06 2017-03-19 07:42:49 achillesrasquinha/bulbea inactive 5.0
RL IV https://github.com/jjakimoto/DQN Reinforcement Learning for finance. Deep Learning And Reinforcement Learning 2021-05-31 10:06:44 143.0 55.0 1.0 2016-10-21 02:47:17 2017-04-07 08:11:57 jjakimoto/DQN inactive
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 2021-07-11 00:45:10 1155.0 333.0 2.0 2018-03-10 11:22:00 2018-09-02 17:21:38 Ceruleanacg/Personae inactive 5.0 3/31/21 8:00
gym-trading https://github.com/hackthemarket/gym-trading NEW Deep Learning And Reinforcement Learning 2021-07-04 14:27:24 597.0 198.0 2.0 2016-12-09 20:46:19 2017-12-24 15:34:37 hackthemarket/gym-trading inactive 39:11.1
maro https://github.com/microsoft/maro NEW Deep Learning And Reinforcement Learning 2021-07-09 10:53:31 444.0 82.0 19.0 2019-12-27 06:48:27 2021-07-09 10:53:21 microsoft/maro active 39:11.1
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 2021-07-10 20:50:44 1375.0 477.0 15.0 2019-04-27 18:35:15 2019-10-17 16:25:49 notadamking/RLTrader active 5.0 3/31/21 8:00
Pair-Trading-Reinforcement-Learning https://github.com/wai-i/Pair-Trading-Reinforcement-Learning NEW Deep Learning And Reinforcement Learning 2021-07-08 03:36:44 146.0 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
ARIMA-LTSM Hybrid https://github.com/imhgchoi/Corr_Prediction_ARIMA_LSTM_Hybrid Hybrid model to predict future price correlation coefficients of two assets. Deep Learning And Reinforcement Learning 2021-07-06 06:13:55 231.0 92.0 1.0 2018-08-05 02:13:21 2018-10-01 11:25:53 imhgchoi/ARIMA-LSTM-hybrid-corrcoef-predict inactive 3.0
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 2021-07-09 05:17:36 333.0 162.0 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
RL III https://github.com/samre12/deep-trading-agent Github -Deep Reinforcement Learning based Trading Agent for Bitcoin. Deep Learning And Reinforcement Learning 2021-07-09 03:11:12 600.0 204.0 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 2021-06-25 07:52:45 182.0 38.0 2.0 2019-04-22 10:03:21 2020-09-28 09:07:18 Kostis-S-Z/trading-rl active 3.0 3/31/21 8:00
Deep Learning II https://github.com/LiamConnell/deep-algotrading/tree/master/notebooks Tensorflow Regression. Deep Learning And Reinforcement Learning 2021-06-24 15:46:03 179.0 68.0 1.0 2016-07-12 12:56:10 2018-02-16 02:43:36 LiamConnell/deep-algotrading inactive 3.0
TradingGym https://github.com/Yvictor/TradingGym NEW Deep Learning And Reinforcement Learning 2021-07-10 15:30:40 890.0 245.0 2.0 2017-05-01 13:53:32 2018-02-14 13:58:18 Yvictor/TradingGym inactive 39:11.1
tf-quant-finance https://github.com/google/tf-quant-finance NEW Derivatives and Hedging 2021-07-10 19:32:44 2698.0 361.0 30.0 2019-07-24 16:09:50 2021-07-09 13:39:43 google/tf-quant-finance active 23:51.4
openAlgo https://github.com/mtompkins/openAlgo NEW Derivatives and Hedging 2021-06-27 23:37:44 165.0 82.0 2.0 2013-05-28 14:46:53 2017-03-24 20:00:24 mtompkins/openAlgo inactive 23:51.4
FinancePy https://github.com/domokane/FinancePy NEW Derivatives and Hedging 2021-07-10 07:28:43 522.0 85.0 7.0 2019-10-27 15:04:56 2021-07-10 07:28:29 domokane/FinancePy active 23:51.4
wallstreet https://github.com/mcdallas/wallstreet NEW Derivatives and Hedging 2021-07-11 00:45:02 607.0 133.0 3.0 2016-01-20 22:03:39 2021-07-09 21:03:50 mcdallas/wallstreet active 23:51.4
gs-quant https://github.com/goldmansachs/gs-quant NEW Derivatives and Hedging 2021-07-08 04:30:53 666.0 196.0 13.0 2018-12-14 21:10:40 2021-07-01 12:01:31 goldmansachs/gs-quant 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
trade-frame https://github.com/rburkholder/trade-frame NEW Derivatives and Hedging 2021-07-02 12:43:31 203.0 81.0 1.0 2016-07-24 15:25:30 2021-05-24 16:56:10 rburkholder/trade-frame 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
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
QLNet https://github.com/amaggiulli/QLNet NEW Derivatives and Hedging 2021-07-06 12:41:34 268.0 136.0 13.0 2013-08-22 14:51:43 2021-03-02 18:39:41 amaggiulli/QLNet active 23:51.4
StockSharp https://github.com/StockSharp/StockSharp NEW Derivatives and Hedging 2021-07-10 22:53:10 4198.0 1290.0 17.0 2014-12-08 07:53:44 2021-07-08 12:35:34 StockSharp/StockSharp active 23:51.4
Strata https://github.com/OpenGamma/Strata NEW Derivatives and Hedging 2021-07-08 17:18:23 625.0 223.0 43.0 2014-06-16 11:45:55 2021-07-08 17:18:18 OpenGamma/Strata active 23:51.4
Black Scholes https://github.com/irajwani/numerical_methods_python/blob/master/black_scholes.ipynb Options pricing. Derivatives and Hedging 2020-10-06 20:36:29 1.0 2.0 0.0 2017-12-09 18:50:20 2018-07-09 09:48:36 irajwani/numerical_methods_python inactive
Volatility and Variance Derivatives https://github.com/yhilpisch/lvvd/tree/master/lvvd Volatility derivatives analytics. Derivatives and Hedging 2021-06-23 16:15:47 85.0 80.0 1.0 2016-10-21 04:12:50 2021-05-15 10:12:38 yhilpisch/lvvd active
robin_stocks https://github.com/jmfernandes/robin_stocks NEW Derivatives and Hedging 2021-07-10 22:03:32 1110.0 297.0 36.0 2018-02-23 00:49:37 2021-05-12 02:21:21 jmfernandes/robin_stocks 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
MarketAnalysis https://github.com/Poseyy/MarketAnalysis NEW Derivatives and Hedging 2021-07-08 23:44:11 182.0 81.0 1.0 2019-03-28 19:46:34 2020-08-06 05:15:46 Poseyy/MarketAnalysis active 23:51.4
Derivatives Python https://github.com/yhilpisch/dawp/tree/master/python36 Derivative analytics with Python. Derivatives and Hedging 2021-07-10 11:54:36 408.0 307.0 1.0 2015-07-09 12:27:29 2021-02-22 13:29:18 yhilpisch/dawp active
tai https://github.com/fremantle-industries/tai NEW Derivatives and Hedging 2021-07-02 22:49:37 300.0 47.0 6.0 2017-07-28 03:07:18 2021-07-02 22:48:01 fremantle-industries/tai active 23:51.4
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
huobi_futures_Python https://github.com/hbdmapi/huobi_futures_Python NEW Derivatives and Hedging 2021-07-08 10:38:22 199.0 93.0 2.0 2020-01-14 07:21:39 2021-06-25 01:29:01 hbdmapi/huobi_futures_Python active 23:51.4
165 fast_arrow https://github.com/westonplatter/fast_arrow NEW Derivatives and Hedging 2021-07-07 06:07:15 127.0 41.0 5.0 2018-07-19 23:15:25 2020-04-18 18:05:37 westonplatter/fast_arrow active 23:51.4
166 quant-trading https://github.com/je-suis-tm/quant-trading NEW Derivatives and Hedging 2021-07-10 16:06:20 2015.0 531.0 2.0 2018-04-03 14:08:14 2021-04-13 18:37:15 je-suis-tm/quant-trading active 23:51.4
167 tda-api https://github.com/alexgolec/tda-api NEW Derivatives and Hedging 2021-07-08 20:52:30 742.0 193.0 17.0 2020-04-03 21:19:12 2021-06-28 16:25:32 alexgolec/tda-api active 23:51.4
170 akshare https://github.com/jindaxiang/akshare NEW Derivatives and Hedging 2021-07-10 20:51:35 3715.0 771.0 14.0 2019-10-01 07:34:12 2021-07-10 10:41:58 jindaxiang/akshare active 23:51.4
171 Options https://github.com/QuantConnect/Tutorials/tree/master/06%20Introduction%20to%20Options%5B%5D Introduction to options. Derivatives and Hedging 2021-07-07 02:46:26 362.0 170.0 35.0 2017-07-28 15:48:29 2021-03-17 17:17:08 QuantConnect/Tutorials active
172 trading-server https://github.com/s-brez/trading-server NEW Derivatives and Hedging 2021-07-10 15:16:19 273.0 61.0 2.0 2019-03-05 03:06:19 2021-03-08 02:37:08 s-brez/trading-server active 23:51.4
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
173 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
174 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
175 Options_Data_Science https://github.com/yugedata/Options_Data_Science NEW Derivatives and Hedging 2021-07-02 18:32:59 249.0 43.0 1.0 2020-12-09 04:51:20 2021-07-02 18:32:55 yugedata/Options_Data_Science active 23:51.4
176 algotrader AlgorithmicTrading https://github.com/torreyleonard/algotrader https://github.com/JerBouma/AlgorithmicTrading NEW Derivatives and Hedging 2021-07-08 03:21:30 2021-07-07 13:19:40 495.0 202.0 107.0 60.0 12.0 1.0 2018-04-10 02:31:26 2019-03-14 09:33:37 2020-08-27 08:16:44 2021-02-03 22:29:07 torreyleonard/algotrader JerBouma/AlgorithmicTrading active 23:51.4
177 paperbroker https://github.com/philipodonnell/paperbroker NEW Derivatives and Hedging 2021-07-01 14:26:27 183.0 52.0 3.0 2017-07-06 02:04:51 2018-04-08 18:37:57 philipodonnell/paperbroker inactive 23:51.4
178 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
179 Options-Trading-Strategies-in-Python https://github.com/PyPatel/Options-Trading-Strategies-in-Python NEW Derivatives and Hedging 2021-07-02 14:55:44 348.0 139.0 1.0 2017-08-30 06:00:15 2019-08-21 15:47:57 PyPatel/Options-Trading-Strategies-in-Python active 23:51.4
180 stocktrends https://github.com/ChillarAnand/stocktrends NEW Derivatives and Hedging 2021-07-10 13:45:45 108.0 37.0 1.0 2018-02-06 12:56:48 2021-06-09 03:20:10 ChillarAnand/stocktrends active 2021-07-07 01:48:02.687855
181 AlgorithmicTrading huobi_futures_Python https://github.com/JerBouma/AlgorithmicTrading https://github.com/hbdmapi/huobi_futures_Python NEW Derivatives and Hedging 2021-07-07 13:19:40 2021-07-08 10:38:22 202.0 199.0 60.0 93.0 1.0 2.0 2019-03-14 09:33:37 2020-01-14 07:21:39 2021-02-03 22:29:07 2021-06-25 01:29:01 JerBouma/AlgorithmicTrading hbdmapi/huobi_futures_Python active 23:51.4
182 Chronicle-Accelerate Reinforcement Learning https://github.com/OpenHFT/Chronicle-Accelerate https://github.com/FinTechies/HedgingRL NEW Hedging portfolios with reinforcement learning. Extended Research Derivatives and Hedging 2020-12-11 04:11:30 2021-01-20 08:12:13 55.0 16.0 13.0 10.0 7.0 1.0 2018-01-24 08:52:53 2017-04-21 10:58:56 2018-08-11 12:11:43 2017-08-02 21:41:06 OpenHFT/Chronicle-Accelerate FinTechies/HedgingRL inactive 2021-04-21 01:25:51.827641
183 Life-cycle Hull White https://github.com/atulram/Finance-and-Stocks/blob/master/CompanyLifeCycle.ipynb https://github.com/rstreppa/valuation-callables-HullWhite/blob/master/CallableBond_HullWhite.ipynb Company life cycle. Callable Bond, Hull White. Extended Research Derivatives and Hedging 2020-12-21 14:42:43 2020-10-06 20:37:16 3.0 4.0 3.0 6.0 1.0 2019-01-19 18:16:47 2018-06-06 22:06:06 2019-02-18 16:57:19 2018-06-06 22:27:02 atulram/Finance-and-Stocks rstreppa/valuation-callables-HullWhite inactive
184 tectonicdb algotrader https://github.com/0b01/tectonicdb https://github.com/torreyleonard/algotrader NEW Extended Research Derivatives and Hedging 2021-07-10 06:07:30 2021-07-08 03:21:30 353.0 495.0 57.0 107.0 10.0 12.0 2017-10-03 00:34:01 2018-04-10 02:31:26 2020-09-08 23:02:20 2020-08-27 08:16:44 0b01/tectonicdb torreyleonard/algotrader active 2021-04-21 01:25:51.827641 23:51.4
185 roq-samples Derivatives Python https://github.com/roq-trading/roq-samples https://github.com/yhilpisch/dawp/tree/master/python36 NEW Derivative analytics with Python. Extended Research Derivatives and Hedging 2021-07-11 01:13:46 2021-07-10 11:54:36 68.0 408.0 25.0 307.0 3.0 1.0 2018-03-27 04:19:09 2015-07-09 12:27:29 2021-07-06 12:19:40 2021-02-22 13:29:18 roq-trading/roq-samples yhilpisch/dawp active 2021-05-05 01:50:21.293278
186 Corporate Finance tai https://github.com/SeanMcOwen/FinanceAndPython.com-CorporateFinance https://github.com/fremantle-industries/tai Basic corporate finance. NEW Extended Research Derivatives and Hedging 2021-01-16 19:01:31 2021-07-02 22:49:37 9.0 300.0 5.0 47.0 1.0 6.0 2017-09-09 03:35:24 2017-07-28 03:07:18 2017-09-09 23:04:48 2021-07-02 22:48:01 SeanMcOwen/FinanceAndPython.com-CorporateFinance fremantle-industries/tai inactive active 23:51.4
187 go-quantcup tf-quant-finance https://github.com/rdingwall/go-quantcup https://github.com/google/tf-quant-finance NEW Extended Research Derivatives and Hedging 2021-06-30 09:37:46 2021-07-10 19:32:44 75.0 2698.0 36.0 361.0 1.0 30.0 2015-02-04 10:33:12 2019-07-24 16:09:50 2015-06-11 12:50:09 2021-07-09 13:39:43 rdingwall/go-quantcup google/tf-quant-finance inactive active 2021-04-21 01:25:51.827641 23:51.4
188 PE-HFT-Python openAlgo https://github.com/PortfolioEffect/PE-HFT-Python https://github.com/mtompkins/openAlgo NEW Extended Research Derivatives and Hedging 2021-06-18 07:24:56 2021-06-27 23:37:44 50.0 165.0 37.0 82.0 2.0 2015-11-11 00:58:39 2013-05-28 14:46:53 2017-08-08 02:06:15 2017-03-24 20:00:24 PortfolioEffect/PE-HFT-Python mtompkins/openAlgo inactive 2021-07-07 01:48:46.755450 23:51.4
189 HFT-Orderbook FinancePy https://github.com/Crypto-toolbox/HFT-Orderbook https://github.com/domokane/FinancePy NEW Extended Research Derivatives and Hedging 2021-07-09 20:17:20 2021-07-10 07:28:43 448.0 522.0 154.0 85.0 4.0 7.0 2017-07-26 08:42:19 2019-10-27 15:04:56 2018-08-24 13:35:39 2021-07-10 07:28:29 Crypto-toolbox/HFT-Orderbook domokane/FinancePy inactive active 2021-04-21 01:25:51.827641 23:51.4
190 kafka-fraud-detector gs-quant https://github.com/florimondmanca/kafka-fraud-detector https://github.com/goldmansachs/gs-quant NEW Extended Research Derivatives and Hedging 2021-07-10 14:11:32 2021-07-08 04:30:53 62.0 666.0 47.0 196.0 3.0 13.0 2018-09-13 17:36:49 2018-12-14 21:10:40 2019-04-29 22:04:23 2021-07-01 12:01:31 florimondmanca/kafka-fraud-detector goldmansachs/gs-quant inactive active 2021-04-21 01:25:51.827641 23:51.4
191 algo-trader-tool-suite Derman https://github.com/K0414/algo-trader-tool-suite https://github.com/rstreppa/valuation-convertibles-Goldman1994/blob/master/ConvertibleBond_Goldman1994_Derman.ipynb NEW Binomial tree for American call. Extended Research Derivatives and Hedging 2021-07-02 17:04:00 2020-10-06 20:37:15 59.0 1.0 51.0 3.0 1.0 2013-10-24 14:57:12 2018-05-18 18:08:16 2013-10-24 15:01:56 2018-09-21 19:59:01 K0414/algo-trader-tool-suite rstreppa/valuation-convertibles-Goldman1994 inactive 2021-04-21 01:25:51.827641
192 OpenHFT trade-frame https://github.com/OpenHFT/OpenHFT https://github.com/rburkholder/trade-frame NEW Extended Research Derivatives and Hedging 2021-07-09 21:49:32 2021-07-02 12:43:31 488.0 203.0 154.0 81.0 33.0 1.0 2013-12-26 10:22:00 2016-07-24 15:25:30 2021-07-09 13:40:59 2021-05-24 16:56:10 OpenHFT/OpenHFT rburkholder/trade-frame active 2021-04-21 01:25:51.827641 23:51.4
193 DGFraud Options https://github.com/safe-graph/DGFraud https://github.com/PHBS/2018.M1.ASP/tree/master/py NEW Black Scholes and Copula. Extended Research Derivatives and Hedging 2021-07-08 16:57:31 330.0 91.0 4.0 2019-11-22 14:02:36 2021-05-27 21:12:27 safe-graph/DGFraud PHBS/2018.M1.ASP active 2021-04-21 01:25:51.827641
194 example-hftish wallstreet https://github.com/alpacahq/example-hftish https://github.com/mcdallas/wallstreet NEW Extended Research Derivatives and Hedging 2021-07-09 23:33:18 2021-07-11 00:45:02 408.0 607.0 171.0 133.0 3.0 2019-01-25 14:56:38 2016-01-20 22:03:39 2019-10-25 02:16:27 2021-07-09 21:03:50 alpacahq/example-hftish mcdallas/wallstreet active 2021-04-21 01:25:51.827641 23:51.4
195 hummingbot_chinese QLNet https://github.com/CoinAlpha/hummingbot_chinese https://github.com/amaggiulli/QLNet NEW Extended Research Derivatives and Hedging 2021-07-06 00:56:09 2021-07-06 12:41:34 183.0 268.0 33.0 136.0 5.0 13.0 2019-06-05 22:53:04 2013-08-22 14:51:43 2021-06-10 16:41:21 2021-03-02 18:39:41 CoinAlpha/hummingbot_chinese amaggiulli/QLNet active 2021-04-21 01:25:51.827641 23:51.4
196 Coiner StockSharp https://github.com/jihoonerd/Coiner https://github.com/StockSharp/StockSharp NEW Extended Research Derivatives and Hedging 2021-04-07 16:15:41 2021-07-10 22:53:10 50.0 4198.0 20.0 1290.0 1.0 17.0 2017-09-26 04:14:36 2014-12-08 07:53:44 2018-01-01 13:13:21 2021-07-08 12:35:34 jihoonerd/Coiner StockSharp/StockSharp inactive active 2021-04-21 01:25:51.827641 23:51.4
197 Bayesian Finance I Strata https://github.com/AlexIoannides/pymc-stochastic-process/blob/master/bayes_stoch_proc_calib.ipynb https://github.com/OpenGamma/Strata Stochastic Process Calibration using Bayesian Inference & Probabilistic Programs. NEW Extended Research Derivatives and Hedging 2021-05-18 12:27:07 2021-07-08 17:18:23 27.0 625.0 6.0 223.0 0.0 43.0 2019-01-04 12:30:41 2014-06-16 11:45:55 2019-02-18 09:55:21 2021-07-08 17:18:18 AlexIoannides/pymc-stochastic-process OpenGamma/Strata inactive active 23:51.4
198 Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras Black Scholes https://github.com/curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras https://github.com/irajwani/numerical_methods_python/blob/master/black_scholes.ipynb NEW Options pricing. Extended Research Derivatives and Hedging 2021-07-04 05:21:30 2020-10-06 20:36:29 349.0 1.0 237.0 2.0 1.0 0.0 2017-06-09 13:58:13 2017-12-09 18:50:20 2019-06-28 09:27:45 2018-07-09 09:48:36 curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras irajwani/numerical_methods_python inactive 2021-04-21 01:25:51.827641
199 hft Volatility and Variance Derivatives https://github.com/nickhuangxinyu/hft https://github.com/yhilpisch/lvvd/tree/master/lvvd NEW Volatility derivatives analytics. Extended Research Derivatives and Hedging 2021-07-10 17:21:03 2021-06-23 16:15:47 173.0 85.0 90.0 80.0 2.0 1.0 2019-03-12 14:57:01 2016-10-21 04:12:50 2021-05-07 04:09:18 2021-05-15 10:12:38 nickhuangxinyu/hft yhilpisch/lvvd active 2021-04-21 01:25:51.827641
200 Bayesian Finance robin_stocks https://github.com/marketneutral/alphatools/blob/master/notebooks/pymc3-minimal.ipynb https://github.com/jmfernandes/robin_stocks Notebook PyMC3 implementation. NEW Extended Research Derivatives and Hedging 2021-07-09 18:36:09 2021-07-10 22:03:32 255.0 1110.0 59.0 297.0 1.0 36.0 2018-08-28 14:45:00 2018-02-23 00:49:37 2020-08-06 22:03:47 2021-05-12 02:21:21 marketneutral/alphatools jmfernandes/robin_stocks active 23:51.4
201 Economic Foundations Derivative Markets https://github.com/SeanMcOwen/FinanceAndPython.com-EconomicFoundations https://github.com/broughtj/Fin6470/tree/master/Notebooks Basic economic models. The economics of futures, futures, options, and swaps. Extended Research Derivatives and Hedging 2020-10-06 21:01:59 2021-04-15 16:03:10 2.0 8.0 4.0 8.0 1.0 2017-05-25 02:27:36 2016-02-09 05:30:27 2017-06-30 03:53:59 2021-04-15 16:02:59 SeanMcOwen/FinanceAndPython.com-EconomicFoundations broughtj/Fin6470 inactive active
202 HFT Computational Derivatives https://github.com/rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy https://github.com/chenbowen184/Computational_Finance High frequency trading. Projects focusing on investigating simulations and computational techniques applied in finance. Extended Research Derivatives and Hedging 2021-07-10 07:22:16 2021-05-18 09:14:31 803.0 19.0 346.0 12.0 1.0 2016-07-21 05:14:14 2018-01-29 05:01:52 2017-02-14 16:47:25 2018-08-02 05:56:49 rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy chen-bowen/Computational_Finance inactive
203 HFT-CNN MarketAnalysis https://github.com/ShimShim46/HFT-CNN https://github.com/Poseyy/MarketAnalysis NEW Extended Research Derivatives and Hedging 2021-05-24 06:03:42 2021-07-08 23:44:11 73.0 182.0 19.0 81.0 1.0 2018-08-18 06:39:32 2019-03-28 19:46:34 2018-11-09 02:29:00 2020-08-06 05:15:46 ShimShim46/HFT-CNN Poseyy/MarketAnalysis inactive active 2021-04-21 01:25:51.827641 23:51.4
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
MStream https://github.com/Stream-AD/MStream NEW Extended Research 2021-07-12 20:10:56 53.0 14.0 4.0 2019-12-09 09:12:54 2021-04-11 02:20:30 Stream-AD/MStream active 2021-07-14 01:45:09.733861
freqtrade_bot https://github.com/michael-fourie/freqtrade_bot NEW Extended Research 2021-07-04 08:41:14 71.0 25.0 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
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
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
2018-Kaggle-AdTrackingFraud https://github.com/ShawnyXiao/2018-Kaggle-AdTrackingFraud NEW Extended Research 2021-07-04 19:51:19 73.0 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
kungfu https://github.com/kungfu-origin/kungfu NEW Extended Research 2021-07-10 17:52:00 2393.0 874.0 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
fraud-detection-demo https://github.com/afedulov/fraud-detection-demo NEW Extended Research 2021-07-07 10:29:53 186.0 77.0 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
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
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
Backtests https://github.com/AlgoTraders/stock-analysis-engine Trading data and algorithms. Extended Research 2021-07-10 15:56:27 672.0 183.0 3.0 2018-09-16 20:00:36 2020-09-05 13:01:05 AlgoTraders/stock-analysis-engine active
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
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 10.0 1.0 2018-10-11 20:32:37 2018-12-24 23:27:55 chen-bowen/Research_Documents_Curation_with_NLP inactive
High Frequency https://github.com/cswaney/prickle A Python toolkit for high-frequency trade research. Extended Research 2021-07-03 10:29:12 27.0 17.0 2.0 2016-07-06 20:32:21 2018-06-09 10:53:51 cswaney/prickle inactive
A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market https://github.com/SheikhRabiul/A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market NEW Extended Research 2021-06-12 08:04:27 52.0 21.0 1.0 2017-11-27 06:37:43 2019-01-08 18:13:34 SheikhRabiul/A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market inactive 2021-04-21 01:25:51.827641
ReactiveTraderCloud https://github.com/AdaptiveConsulting/ReactiveTraderCloud NEW Extended Research 2021-07-10 15:49:07 1605.0 508.0 81.0 2015-11-13 19:24:11 2021-06-24 08:10:33 AdaptiveConsulting/ReactiveTraderCloud active 2021-04-21 01:25:51.827641
SumZeroTrading https://github.com/rterp/SumZeroTrading NEW Extended Research 2021-07-07 19:06:31 131.0 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 2021-07-09 13:44:22 617.0 72.0 3.0 2019-10-23 03:50:50 2021-06-08 08:19:24 Stream-AD/MIDAS active 2021-04-21 01:25:51.827641
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 20.0 2.0 2018-05-08 19:34:17 2018-05-09 15:39:25 DLColumbia/DL_forFinance inactive
Commodity https://github.com/felipessalvatore/fin2vec/blob/master/src/Commodity2BR.ipynb Commodity influence over Brazilian stocks. Extended Research felipessalvatore/fin2vec
Mathematical Finance https://github.com/Auquan/Tutorials Notebooks for math and financial tutorials. Extended Research 2021-07-08 14:25:43 693.0 455.0 9.0 2017-01-21 11:24:18 2020-08-01 17:03:32 Auquan/Tutorials active
tribeca https://github.com/michaelgrosner/tribeca NEW Extended Research 2021-07-10 22:16:31 3560.0 897.0 22.0 2015-07-07 18:40:45 2018-02-26 18:01:13 michaelgrosner/tribeca inactive 2021-04-21 01:25:51.827641
Currency PCA https://github.com/shanemulqueen/python-finance-pca/blob/master/FX_spots_w_PCA.ipynb Forex spots PCA. Extended Research 2020-10-26 00:55:20 3.0 1.0 1.0 2019-03-12 21:11:29 2019-03-12 22:09:10 shanemulqueen/python-finance-pca inactive
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 2021-07-08 07:00:53 69.0 46.0 4.0 2018-04-14 21:19:21 2018-06-10 09:29:37 HujiaYuYoyo/448Project inactive 2021-04-21 01:25:51.827641
spartan https://github.com/rigtorp/spartan NEW Extended Research 2021-07-09 21:49:10 170.0 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 2021-07-10 16:29:42 320.0 128.0 16.0 2013-03-17 10:00:22 2021-03-13 21:37:31 finmath/finmath-lib active 2021-04-21 01:25:51.827641
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
fraud-detection-using-machine-learning https://github.com/awslabs/fraud-detection-using-machine-learning NEW Extended Research 2021-07-09 04:00:19 102.0 63.0 6.0 2019-05-17 17:12:46 2021-06-09 19:03:19 awslabs/fraud-detection-using-machine-learning active 2021-04-21 01:25:51.827641
Financial-Formulas-Library-.NET-Standard https://github.com/srbrettle/Financial-Formulas-Library-.NET-Standard NEW Extended Research 2021-06-25 20:14:51 115.0 34.0 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
Q-Fin https://github.com/RomanMichaelPaolucci/Q-Fin NEW Extended Research 2021-07-02 16:52:05 53.0 8.0 1.0 2021-04-21 13:29:51 2021-06-07 16:23:33 RomanMichaelPaolucci/Q-Fin active 2021-06-02 04:27:12.212333
getIPIntel https://github.com/blackdotsh/getIPIntel NEW Extended Research 2021-06-10 08:40:37 155.0 33.0 4.0 2015-10-02 21:40:50 2021-01-24 01:09:18 blackdotsh/getIPIntel active 2021-04-21 01:25:51.827641
neural-finance https://github.com/Metnew/neural-finance NEW Extended Research 2021-04-13 10:50:40 64.0 28.0 1.0 2016-12-30 17:14:13 2017-06-26 22:42:06 Metnew/neural-finance inactive 2021-04-21 01:25:51.827641
wattnet-fx-trading https://github.com/Zymrael/wattnet-fx-trading NEW Extended Research 2021-06-23 09:21:35 62.0 12.0 1.0 2019-09-13 08:44:27 2020-08-19 05:49:12 Zymrael/wattnet-fx-trading active 2021-04-21 01:25:51.827641
algotrading https://github.com/ivopetiz/algotrading NEW Extended Research 2021-07-11 00:13:17 359.0 87.0 3.0 2018-07-10 22:10:41 2021-06-30 19:46:41 ivopetiz/algotrading active 2021-04-21 01:25:51.827641
FX-1-Minute-Data https://github.com/philipperemy/FX-1-Minute-Data NEW Extended Research 2021-07-06 08:59:00 290.0 113.0 4.0 2017-05-22 03:24:35 2021-06-15 09:06:46 philipperemy/FX-1-Minute-Data active 2021-04-21 01:25:51.827641
FX-Trading-with-Python-and-Oanda https://github.com/anthonyng2/FX-Trading-with-Python-and-Oanda NEW Extended Research 2021-02-20 20:49:53 57.0 43.0 1.0 2017-02-23 07:48:12 2017-08-14 03:21:30 anthonyng2/FX-Trading-with-Python-and-Oanda inactive 2021-04-21 01:25:51.827641
Fraud_Detection_Techniques https://github.com/wmlba/Fraud_Detection_Techniques NEW Extended Research 2021-07-02 02:41:32 63.0 35.0 1.0 2019-02-14 02:27:13 2020-06-14 23:36:47 wmlba/Fraud_Detection_Techniques active 2021-04-21 01:25:51.827641
Fraud-detection-using-deep-learning https://github.com/aaxwaz/Fraud-detection-using-deep-learning NEW Extended Research 2021-06-20 02:23:38 105.0 55.0 1.0 2017-06-18 12:35:24 2017-12-06 13:51:54 aaxwaz/Fraud-detection-using-deep-learning inactive 2021-04-21 01:25:51.827641
Applied Corporate Finance https://github.com/chenbowen184/Data_Science_in_Applied_Corporate_Finance Studies the empirical behaviours in stock market. Extended Research 2021-07-02 01:10:03 10.0 10.0 1.0 2018-01-29 05:14:52 2018-07-19 06:25:36 chen-bowen/Data_Science_in_Applied_Corporate_Finance inactive
wtpy https://github.com/wondertrader/wtpy NEW Extended Research 2021-07-08 11:00:14 73.0 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
High-Frequency-Trading-Model-with-IB https://github.com/jamesmawm/High-Frequency-Trading-Model-with-IB NEW Extended Research 2021-07-10 08:24:49 1872.0 551.0 2.0 2014-05-18 19:20:13 2019-06-21 14:58:07 jamesmawm/High-Frequency-Trading-Model-with-IB inactive 2021-04-21 01:25:51.827641
FraudDetection-Microservices https://github.com/melofred/FraudDetection-Microservices NEW Extended Research 2021-02-16 00:13:03 85.0 50.0 1.0 2016-06-08 23:24:21 2017-01-18 17:52:01 melofred/FraudDetection-Microservices inactive 2021-04-21 01:25:51.827641
StockPredictionRNN https://github.com/dzitkowskik/StockPredictionRNN NEW Extended Research 2021-07-07 11:05:34 509.0 216.0 2.0 2015-11-26 19:00:35 2016-05-21 15:51:22 dzitkowskik/StockPredictionRNN inactive 2021-04-21 01:25:51.827641
204 Financial Economics https://github.com/rsvp/fecon235/tree/master/nb Financial Economics Models. Extended Research 2021-06-30 19:22:45 726.0 282.0 2.0 2014-11-09 04:49:01 2018-12-03 16:30:28 rsvp/fecon235 inactive
205 Avellaneda-Stoikov https://github.com/mdibo/Avellaneda-Stoikov NEW Extended Research 2021-07-09 08:25:55 54.0 44.0 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
206 Fraud_Detector https://github.com/kskk02/Fraud_Detector NEW Extended Research 2021-07-09 14:47:12 59.0 36.0 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
207 Computational Finance fx_systrade https://github.com/lnsongxf/Applied_Computational_Economics_and_Finance https://github.com/ryogrid/fx_systrade Applied Computational Economics and Finance. NEW Extended Research 2021-05-31 04:01:48 2021-07-08 11:51:35 13.0 82.0 14.0 29.0 1.0 2.0 2017-08-27 03:46:33 2015-07-24 11:46:28 2017-08-26 04:26:04 2020-10-23 10:17:01 lnsongxf/Applied_Computational_Economics_and_Finance ryogrid/fx_systrade inactive active 2021-04-21 01:25:51.827641
208 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
209 UGFraud https://github.com/safe-graph/UGFraud NEW Extended Research 2021-07-06 09:15:12 62.0 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
fx_systrade https://github.com/ryogrid/fx_systrade NEW Extended Research 2021-07-08 11:51:35 82.0 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
210 graph-fraud-detection-papers https://github.com/safe-graph/graph-fraud-detection-papers NEW Extended Research 2021-07-08 04:33:26 412.0 75.0 2.0 2019-11-21 05:39:23 2021-07-08 04:33:24 safe-graph/graph-fraud-detection-papers active 2021-04-21 01:25:51.827641
211 StockPredictionRNN https://github.com/dzitkowskik/StockPredictionRNN NEW Extended Research 2021-07-07 11:05:34 509.0 216.0 2.0 2015-11-26 19:00:35 2016-05-21 15:51:22 dzitkowskik/StockPredictionRNN inactive 2021-04-21 01:25:51.827641
212 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
213 FraudDetection-Microservices https://github.com/melofred/FraudDetection-Microservices NEW Extended Research 2021-02-16 00:13:03 85.0 50.0 1.0 2016-06-08 23:24:21 2017-01-18 17:52:01 melofred/FraudDetection-Microservices inactive 2021-04-21 01:25:51.827641
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231 gym-fx https://github.com/harveybc/gym-fx NEW Extended Research 2021-07-04 10:26:38 161.0 44.0 1.0 2017-02-21 21:04:09 2020-06-03 21:03:14 harveybc/gym-fx active 2021-04-21 01:25:51.827641
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239 Quantropy exchange-core https://github.com/AlainDaccache/Quantropy https://github.com/mzheravin/exchange-core NEW Factor and Risk Analysis Extended Research 2021-06-19 23:12:00 2021-07-09 06:51:22 27.0 970.0 4.0 441.0 2.0 7.0 2020-06-13 15:34:25 2018-08-05 18:25:16 2021-03-15 01:49:23 2021-04-25 18:24:27 AlainDaccache/Quantropy mzheravin/exchange-core active 2021-05-05 01:50:30.163258 2021-04-21 01:25:51.827641
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255 tectonicdb https://github.com/0b01/tectonicdb NEW Extended Research 2021-07-10 06:07:30 353.0 57.0 10.0 2017-10-03 00:34:01 2020-09-08 23:02:20 0b01/tectonicdb active 2021-04-21 01:25:51.827641
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260 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
261 Bayesian Finance https://github.com/marketneutral/alphatools/blob/master/notebooks/pymc3-minimal.ipynb Notebook PyMC3 implementation. Extended Research 2021-07-09 18:36:09 255.0 59.0 1.0 2018-08-28 14:45:00 2020-08-06 22:03:47 marketneutral/alphatools active
262 hft https://github.com/nickhuangxinyu/hft NEW Extended Research 2021-07-10 17:21:03 173.0 90.0 2.0 2019-03-12 14:57:01 2021-05-07 04:09:18 nickhuangxinyu/hft active 2021-04-21 01:25:51.827641
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264 Bayesian Finance I https://github.com/AlexIoannides/pymc-stochastic-process/blob/master/bayes_stoch_proc_calib.ipynb Stochastic Process Calibration using Bayesian Inference & Probabilistic Programs. Extended Research 2021-05-18 12:27:07 27.0 6.0 0.0 2019-01-04 12:30:41 2019-02-18 09:55:21 AlexIoannides/pymc-stochastic-process inactive
265 Coiner https://github.com/jihoonerd/Coiner NEW Extended Research 2021-04-07 16:15:41 50.0 20.0 1.0 2017-09-26 04:14:36 2018-01-01 13:13:21 jihoonerd/Coiner inactive 2021-04-21 01:25:51.827641
266 hummingbot_chinese https://github.com/CoinAlpha/hummingbot_chinese NEW Extended Research 2021-07-06 00:56:09 183.0 33.0 5.0 2019-06-05 22:53:04 2021-06-10 16:41:21 CoinAlpha/hummingbot_chinese active 2021-04-21 01:25:51.827641
267 MStream https://github.com/Stream-AD/MStream NEW Extended Research 2021-07-12 20:10:56 53.0 14.0 4.0 2019-12-09 09:12:54 2021-04-11 02:20:30 Stream-AD/MStream active 2021-07-14 01:45:09.733861
268 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
269 OpenHFT https://github.com/OpenHFT/OpenHFT NEW Extended Research 2021-07-09 21:49:32 488.0 154.0 33.0 2013-12-26 10:22:00 2021-07-09 13:40:59 OpenHFT/OpenHFT active 2021-04-21 01:25:51.827641
270 algo-trader-tool-suite https://github.com/K0414/algo-trader-tool-suite NEW Extended Research 2021-07-02 17:04:00 59.0 51.0 1.0 2013-10-24 14:57:12 2013-10-24 15:01:56 K0414/algo-trader-tool-suite inactive 2021-04-21 01:25:51.827641
271 kafka-fraud-detector https://github.com/florimondmanca/kafka-fraud-detector NEW Extended Research 2021-07-10 14:11:32 62.0 47.0 3.0 2018-09-13 17:36:49 2019-04-29 22:04:23 florimondmanca/kafka-fraud-detector inactive 2021-04-21 01:25:51.827641
272 HFT-Orderbook https://github.com/Crypto-toolbox/HFT-Orderbook NEW Extended Research 2021-07-09 20:17:20 448.0 154.0 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
273 PE-HFT-Python https://github.com/PortfolioEffect/PE-HFT-Python NEW Extended Research 2021-06-18 07:24:56 50.0 37.0 2.0 2015-11-11 00:58:39 2017-08-08 02:06:15 PortfolioEffect/PE-HFT-Python inactive 2021-07-07 01:48:46.755450
274 go-quantcup https://github.com/rdingwall/go-quantcup NEW Extended Research 2021-06-30 09:37:46 75.0 36.0 1.0 2015-02-04 10:33:12 2015-06-11 12:50:09 rdingwall/go-quantcup inactive 2021-04-21 01:25:51.827641
275 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
276 roq-samples https://github.com/roq-trading/roq-samples NEW Extended Research 2021-07-11 01:13:46 68.0 25.0 3.0 2018-03-27 04:19:09 2021-07-06 12:19:40 roq-trading/roq-samples active 2021-05-05 01:50:21.293278
277 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
278 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
279 DGFraud https://github.com/safe-graph/DGFraud NEW Extended Research 2021-07-08 16:57:31 330.0 91.0 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
280 freqtrade_bot https://github.com/michael-fourie/freqtrade_bot NEW Extended Research 2021-07-04 08:41:14 71.0 25.0 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
281 example-hftish https://github.com/alpacahq/example-hftish NEW Extended Research 2021-07-09 23:33:18 408.0 171.0 3.0 2019-01-25 14:56:38 2019-10-25 02:16:27 alpacahq/example-hftish active 2021-04-21 01:25:51.827641
282 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
283 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
284 spartan https://github.com/rigtorp/spartan NEW Extended Research 2021-07-09 21:49:10 170.0 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
285 448Project https://github.com/HujiaYuYoyo/448Project NEW Extended Research 2021-07-08 07:00:53 69.0 46.0 4.0 2018-04-14 21:19:21 2018-06-10 09:29:37 HujiaYuYoyo/448Project inactive 2021-04-21 01:25:51.827641
286 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
287 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
288 tribeca https://github.com/michaelgrosner/tribeca NEW Extended Research 2021-07-10 22:16:31 3560.0 897.0 22.0 2015-07-07 18:40:45 2018-02-26 18:01:13 michaelgrosner/tribeca inactive 2021-04-21 01:25:51.827641
289 Commodity https://github.com/felipessalvatore/fin2vec/blob/master/src/Commodity2BR.ipynb Commodity influence over Brazilian stocks. Extended Research felipessalvatore/fin2vec
290 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 20.0 2.0 2018-05-08 19:34:17 2018-05-09 15:39:25 DLColumbia/DL_forFinance inactive
291 MIDAS https://github.com/Stream-AD/MIDAS NEW Extended Research 2021-07-09 13:44:22 617.0 72.0 3.0 2019-10-23 03:50:50 2021-06-08 08:19:24 Stream-AD/MIDAS active 2021-04-21 01:25:51.827641
292 SumZeroTrading https://github.com/rterp/SumZeroTrading NEW Extended Research 2021-07-07 19:06:31 131.0 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
293 ReactiveTraderCloud https://github.com/AdaptiveConsulting/ReactiveTraderCloud NEW Extended Research 2021-07-10 15:49:07 1605.0 508.0 81.0 2015-11-13 19:24:11 2021-06-24 08:10:33 AdaptiveConsulting/ReactiveTraderCloud active 2021-04-21 01:25:51.827641
294 Mathematical Finance https://github.com/Auquan/Tutorials Notebooks for math and financial tutorials. Extended Research 2021-07-08 14:25:43 693.0 455.0 9.0 2017-01-21 11:24:18 2020-08-01 17:03:32 Auquan/Tutorials active
295 High Frequency https://github.com/cswaney/prickle A Python toolkit for high-frequency trade research. Extended Research 2021-07-03 10:29:12 27.0 17.0 2.0 2016-07-06 20:32:21 2018-06-09 10:53:51 cswaney/prickle inactive
296 2018-Kaggle-AdTrackingFraud https://github.com/ShawnyXiao/2018-Kaggle-AdTrackingFraud NEW Extended Research 2021-07-04 19:51:19 73.0 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
297 A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market https://github.com/SheikhRabiul/A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market NEW Extended Research 2021-06-12 08:04:27 52.0 21.0 1.0 2017-11-27 06:37:43 2019-01-08 18:13:34 SheikhRabiul/A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market inactive 2021-04-21 01:25:51.827641
298 fraud-detection-demo https://github.com/afedulov/fraud-detection-demo NEW Extended Research 2021-07-07 10:29:53 186.0 77.0 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
299 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
300 Market Crash Prediction https://github.com/sarachmax/MarketCrashes_Prediction/blob/master/LPPL_Comparasion.ipynb Predicting market crashes using an LPPL model. Extended Research 2020-10-06 21:01:42 1.0 3.0 1.0 2019-01-24 13:37:45 2019-02-13 16:48:00 sarachmax/MarketCrashes_Prediction inactive
301 kungfu https://github.com/kungfu-origin/kungfu NEW Extended Research 2021-07-10 17:52:00 2393.0 874.0 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
302 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
303 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
304 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 10.0 1.0 2018-10-11 20:32:37 2018-12-24 23:27:55 chen-bowen/Research_Documents_Curation_with_NLP inactive
305 Backtests https://github.com/AlgoTraders/stock-analysis-engine Trading data and algorithms. Extended Research 2021-07-10 15:56:27 672.0 183.0 3.0 2018-09-16 20:00:36 2020-09-05 13:01:05 AlgoTraders/stock-analysis-engine active
306 Stock-Prediction https://github.com/Ronak-59/Stock-Prediction NEW Factor and Risk Analysis 2021-07-10 16:44:04 142.0 68.0 2.0 2018-03-18 04:54:45 2020-02-28 11:43:07 Ronak-59/Stock-Prediction active 37:06.3
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 2021-07-08 15:31:25 155.0 79.0 1.0 2018-05-18 22:09:52 2018-08-07 18:05:37 jerryxyx/AlphaTrading inactive 37:06.3
-L- https://github.com/jettbrains/-L- NEW Factor and Risk Analysis 2021-03-15 03:05:00 6.0 17.0 1.0 2019-10-28 21:50:26 2019-10-28 21:51:19 jettbrains/-L- active 23:57.7
Factor Analysis https://github.com/garvit-kudesia91/factor_analysis/blob/master/Factor%20Analysis%20of%20Mutual%20Funds.ipynb Factor analysis for mutual funds. Factor and Risk Analysis 2020-12-21 14:26:46 3.0 4.0 1.0 2018-03-13 07:39:20 2018-03-13 07:42:36 garvit-kudesia91/factor_analysis inactive
stock-market-analysis-using-python-numpy-pandas https://github.com/Ashishsinha10/stock-market-analysis-using-python-numpy-pandas NEW Factor and Risk Analysis 2021-03-21 08:50:27 8.0 5.0 1.0 2018-04-10 05:15:49 2018-04-10 05:28:54 Ashishsinha10/stock-market-analysis-using-python-numpy-pandas inactive 23:57.7
Risk and Return https://github.com/PyDataBlog/Python-for-Data-Science/tree/master/Tutorials Riskiness of portfolios and assets. Factor and Risk Analysis 2021-06-05 14:54:12 148.0 63.0 2.0 2017-09-12 13:35:09 2020-08-06 12:35:44 PyDataBlog/Python-for-Data-Science active
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
TradeFinexLive https://github.com/XinFinOrg/TradeFinexLive NEW Factor and Risk Analysis 2021-07-06 21:55:08 6.0 12.0 8.0 2018-03-21 10:05:22 2021-07-02 06:53:22 XinFinOrg/TradeFinexLive active 23:57.7
307 Python for Finance https://github.com/yhilpisch/py4fi/tree/master/jupyter36 Various financial notebooks. Factor and Risk Analysis 2021-07-10 19:28:47 1337.0 804.0 1.0 2014-12-15 11:23:34 2018-07-10 06:38:12 yhilpisch/py4fi inactive
308 Vasicek TradeFinexLive https://github.com/RobinsonGarcia/fixed-income/blob/master/2.0%20Vasicek%20-%20example.ipynb https://github.com/XinFinOrg/TradeFinexLive Bootstrapping and interpolation. NEW Fixed Income Factor and Risk Analysis 2020-12-10 21:20:03 2021-07-06 21:55:08 3.0 6.0 3.0 12.0 1.0 8.0 2018-07-18 19:26:54 2018-03-21 10:05:22 2018-07-18 19:34:48 2021-07-02 06:53:22 RobinsonGarcia/fixed-income XinFinOrg/TradeFinexLive inactive active 23:57.7
309 market-data Quant Finance https://github.com/kriasoft/market-data https://github.com/mrefermat/quant_finance NEW General quant repository. Fixed Income Factor and Risk Analysis 2020-06-22 10:58:20 2021-06-02 16:38:16 25.0 31.0 20.0 17.0 1.0 2012-12-07 13:42:48 2018-08-11 22:59:53 2012-12-15 12:10:06 2019-11-12 04:49:01 kriasoft/market-data mrefermat/quant_finance inactive active 24:33.4
310 woe Risk and Return https://github.com/boredbird/woe https://github.com/PyDataBlog/Python-for-Data-Science/tree/master/Tutorials NEW Riskiness of portfolios and assets. Fixed Income Factor and Risk Analysis 2021-06-17 02:46:24 2021-06-05 14:54:12 226.0 148.0 96.0 63.0 1.0 2.0 2017-09-11 07:15:04 2017-09-12 13:35:09 2018-03-01 10:45:40 2020-08-06 12:35:44 boredbird/woe PyDataBlog/Python-for-Data-Science inactive active 24:33.4
311 Binomial Tree stock-market-analysis-using-python-numpy-pandas https://github.com/hy-lei/math-finance-exercise https://github.com/Ashishsinha10/stock-market-analysis-using-python-numpy-pandas Utility functions in fixed income securities. NEW Fixed Income Factor and Risk Analysis 2020-10-06 20:55:18 2021-03-21 08:50:27 1.0 8.0 2.0 5.0 1.0 2019-02-02 08:44:14 2018-04-10 05:15:49 2019-05-03 17:16:52 2018-04-10 05:28:54 hy-lei/math-finance-toolbox Ashishsinha10/stock-market-analysis-using-python-numpy-pandas inactive 23:57.7
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 -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
314 AlphaTrading https://github.com/jerryxyx/AlphaTrading NEW Factor and Risk Analysis 2021-07-08 15:31:25 155.0 79.0 1.0 2018-05-18 22:09:52 2018-08-07 18:05:37 jerryxyx/AlphaTrading inactive 37:06.3
315 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
316 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
317 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
318 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
319 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
320 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
321 Performance Analysis https://github.com/quantopian/alphalens Performance analysis of predictive (alpha) stock factors. Factor and Risk Analysis 2021-07-10 02:52:37 1975.0 755.0 17.0 2016-06-03 21:49:15 2020-04-27 18:40:41 quantopian/alphalens active
322 VaR GaN https://github.com/hamaadshah/market_risk_gan_keras Estimate Value-at-Risk for market risk management using Keras and TensorFlow. Factor and Risk Analysis 2021-06-21 06:11:36 43.0 29.0 1.0 2018-08-06 16:09:44 2020-11-22 19:02:07 hamaadshah/market_risk_gan_tensorflow active
323 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
324 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
325 Factor Analysis https://github.com/alpha-miner/alpha-mind/tree/master/notebooks Factor strategy notebooks. Factor and Risk Analysis 2021-06-27 16:26:50 178.0 61.0 5.0 2017-05-01 07:36:54 2021-06-26 07:13:21 alpha-miner/alpha-mind active
326 Pyfolio https://github.com/quantopian/pyfolio Portfolio and risk analytics in Python. Factor and Risk Analysis 2021-07-10 23:10:02 3902.0 1239.0 41.0 2015-06-01 15:31:39 2020-02-28 17:30:19 quantopian/pyfolio active
327 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
328 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
329 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
330 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
331 MagentoExtensions https://github.com/5mehulhelp5/MagentoExtensions NEW Fixed Income 2021-06-30 10:33:53 110.0 109.0 2.0 2014-07-03 05:45:54 2017-11-24 16:15:49 5mehulhelp5/MagentoExtensions inactive 24:33.4
332 rating_history woe https://github.com/govwiki/rating_history https://github.com/boredbird/woe NEW Fixed Income 2021-05-02 23:24:59 2021-06-17 02:46:24 27.0 226.0 15.0 96.0 1.0 2017-11-23 22:52:14 2017-09-11 07:15:04 2017-12-03 20:42:49 2018-03-01 10:45:40 govwiki/rating_history boredbird/woe inactive 24:33.4
333 DROP-Fixed-Income market-data https://github.com/lakshmiDRIP/DROP-Fixed-Income https://github.com/kriasoft/market-data NEW Fixed Income 2021-06-16 02:44:50 2020-06-22 10:58:20 20.0 25.0 10.0 20.0 1.0 2017-08-10 20:58:18 2012-12-07 13:42:48 2018-09-26 19:21:02 2012-12-15 12:10:06 lakshmiDRIP/DROP-Fixed-Income kriasoft/market-data inactive 2021-06-17 01:50:56.302719 24:33.4
334 mlfinlab Vasicek https://github.com/hudson-and-thames/mlfinlab https://github.com/RobinsonGarcia/fixed-income/blob/master/2.0%20Vasicek%20-%20example.ipynb 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/) Bootstrapping and interpolation. Other Models Fixed Income 2021-07-09 14:58:57 2020-12-10 21:20:03 2462.0 3.0 755.0 3.0 3.0 1.0 2019-02-13 16:57:25 2018-07-18 19:26:54 2021-06-29 22:40:46 2018-07-18 19:34:48 hudson-and-thames/mlfinlab RobinsonGarcia/fixed-income active inactive 3.0 39:24.6
335 awesome-ai-in-finance Binomial Tree https://github.com/georgezouq/awesome-ai-in-finance https://github.com/hy-lei/math-finance-exercise curated list of books/online courses/papers on AI and finance. Topics include crypto trading strategies/ta/backter etc. Utility functions in fixed income securities. Other Models Fixed Income 2021-07-10 19:35:55 2020-10-06 20:55:18 1057.0 1.0 183.0 2.0 8.0 1.0 2018-08-29 02:07:02 2019-02-02 08:44:14 2021-07-02 07:12:52 2019-05-03 17:16:52 georgezouq/awesome-ai-in-finance hy-lei/math-finance-toolbox active inactive 3.0 39:24.6
Stanford-Project-Predicting-stock-prices-using-a-LSTM-Network https://github.com/dduemig/Stanford-Project-Predicting-stock-prices-using-a-LSTM-Network NEW Other Models 2021-07-03 10:21:47 104.0 31.0 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
MathAndScienceNotes https://github.com/melling/MathAndScienceNotes Collections of news/articles on various topics including quant trading and machine learning. Some articles are from [ycombinator message board](https://news.ycombinator.com/news) and [rediit algotrading forum](https://www.reddit.com/r/algotrading/) Other Models 2021-07-03 18:36:18 465.0 57.0 1.0 2016-03-11 19:13:00 2020-12-21 03:54:51 melling/MathAndScienceNotes active 3.0 39:24.6
Awesome-Quant-Machine-Learning-Trading https://github.com/grananqvist/Awesome-Quant-Machine-Learning-Trading curated list of books/online courses/youtube videos/blogs/interviews/papers/code etc. Updates are pretty infrequent Other Models 2021-07-10 14:58:24 1120.0 343.0 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-and-AI-in-Trading https://github.com/PyPatel/Machine-Learning-and-AI-in-Trading repo covering lstm and other sklearn model for trading. Code is not structured well and less extensible Other Models 2021-07-09 18:36:48 273.0 104.0 1.0 2017-08-30 06:14:59 2019-10-29 08:14:39 PyPatel/Machine-Learning-and-AI-in-Trading active 2.0 39:24.6
Mixture Models II https://github.com/BlackArbsCEO/mixture_model_trading_public Mixture models and stock trading. Other Models 2021-07-02 05:28:11 170.0 74.0 1.0 2017-12-11 17:05:38 2020-05-13 23:50:47 BlackArbsCEO/mixture_model_trading_public active 3.0
Hands-On-Machine-Learning-for-Algorithmic-Trading https://github.com/PacktPublishing/Hands-On-Machine-Learning-for-Algorithmic-Trading repo for book [hands-on-machine learning for algorithmic trading](https://www.packtpub.com/product/hands-on-machine-learning-for-algorithmic-trading/9781789346411) covering topic from data/unsupervised learning/NPL/RNN & CNN/reinforcement learning etc. Leverage zipline/alphalens/sklearn/openai-gym etc as well. Good references to have Other Models 2021-07-03 17:54:20 646.0 424.0 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
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 2021-07-04 13:49:59 249.0 97.0 1.0 2017-01-17 12:44:52 2017-01-17 12:48:17 AdeelMufti/CryptoBot inactive 2.0 39:24.6
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
stock-trading-ml https://github.com/yacoubb/stock-trading-ml lstm model using keras to predict msft prices. Data is from [alphavantage](https://www.alphavantage.co/) which provides some free data through web services. Showing how to use concatenation layer to join timeseries data with TA data. Might be abit of overfitting on the model though Other Models 2021-07-02 21:08:40 371.0 212.0 1.0 2019-10-10 09:44:02 2019-10-12 11:38:49 yacoubb/stock-trading-ml active 3.0 39:24.6
fin-ml https://github.com/tatsath/fin-ml accompanying materials for book [Machine Learning and Data Science Blueprints for Finance](https://www.amazon.com/Machine-Learning-Science-Blueprints-Finance/dp/1492073059) on top of basic machine learning models i.e. nlp/reinforcement learning/supervised & unsupervised learning it covers wider topics including robo-advisors/fraud detection/loan default/derivative pricing/yield curve construction. Other Models 2021-07-06 16:31:25 153.0 100.0 2.0 2020-05-10 00:25:56 2021-01-23 17:15:07 tatsath/fin-ml active 4.0 39:24.6
Trend Following http://inseaddataanalytics.github.io/INSEADAnalytics/ExerciseSet2.html A futures trend following portfolio investment strategy. Other Models
surpriver https://github.com/tradytics/surpriver Machine learning algo to detect anomaly in equities data. Uses sklearn [IsolationForest](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.IsolationForest.html) model and price/volume based technical signals as features using [ta](https://github.com/bukosabino/ta) library. Opensourced by [tradytics](https://tradytics.com/). Code structures are less extensible Other Models 2021-07-09 16:50:06 1252.0 236.0 6.0 2020-08-30 07:56:22 2020-09-21 04:32:05 tradytics/surpriver active 3.0 39:24.6
Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original https://github.com/PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original official repo for [machine learning for algorithmic trading](https://www.amazon.com/Machine-Learning-Algorithmic-Trading-alternative/dp/1839217715?pf_rd_r=GZH2XZ35GB3BET09PCCA&pf_rd_p=c5b6893a-24f2-4a59-9d4b-aff5065c90ec&pd_rd_r=91a679c7-f069-4a6e-bdbb-a2b3f548f0c8&pd_rd_w=2B0Q0&pd_rd_wg=GMY5S&ref_=pd_gw_ci_mcx_mr_hp_d) book. Covering topics including backtesting/boosting/nlp/deep&reinforcement learning. Leverage open source libraries including [backtrader](https://www.backtrader.com/) [zipline](https://github.com/quantopian/zipline) and [talib](https://github.com/mrjbq7/ta-lib) Other Models 2021-07-10 07:38:24 346.0 157.0 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
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 2021-07-08 21:01:34 2194.0 708.0 1.0 2016-09-12 18:38:17 2021-06-24 15:43:54 anfederico/clairvoyant active 3.0
Machine-Learning-for-Algorithmic-Trading-Bots-with-Python https://github.com/PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Bots-with-Python code repo for [machine learning for algorithmic trading bots](https://www.packtpub.com/application-development/machine-learning-algorithmic-trading-bots-python-video) video series. Contains notebooks and deep dive using [zipline](https://github.com/quantopian/zipline) Other Models 2021-07-09 09:46:55 195.0 104.0 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
336 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 2021-07-06 13:34:56 193.0 132.0 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
Fundamental LT Forecasts https://github.com/Hvass-Labs/FinanceOps Research in investment finance for long term forecasts and a curated list of notebooks. Each topic contains a youtube video explaining in details. Interesting topics including using price per book ratio and other multiples for future return prediction and portfolio optimization. data sourced form [simfin](https://github.com/SimFin/simfin) yahoo finance and [s&p 500 earnings and estimate report](https://www.spglobal.com/spdji/en/documents/additional-material/sp-500-eps-est.xlsx) etc. Other Models 2021-07-10 19:30:59 435.0 134.0 1.0 2018-07-22 08:14:46 2021-06-04 15:59:04 Hvass-Labs/FinanceOps active 3.0
337 mosquito https://github.com/miro-ka/mosquito base framework trading bot for crypto. Stores data in local mongodb instance and supports backtest and live trading on [poloniex](https://poloniex.com/) and [bittrex](https://bittrex.com/) which are 12-15th ranked crypto exchanges by volume. Leverage [talib](https://github.com/mrjbq7/ta-lib) for ta data and [plotly](https://github.com/plotly/plotly.py) for visualization Other Models 2021-07-02 13:20:41 240.0 45.0 2.0 2017-06-18 19:57:17 2021-03-14 22:22:00 miro-ka/mosquito active 3.0 39:24.6
338 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 2021-07-10 23:07:17 144.0 71.0 1.0 2020-01-06 00:21:58 2021-05-29 18:07:29 saeed349/Microservices-Based-Algorithmic-Trading-System active 5.0 39:24.6
339 botflow https://github.com/kkyon/botflow python dataflow programming framework. Similar and probably replaceable by sklearn.pipeline module. Uses [graphviz](https://graphviz.org/) for visiualization though not maintained with last commit over 3 years ago Other Models 2021-07-02 21:46:14 1176.0 102.0 8.0 2018-08-20 03:13:31 2019-05-23 14:40:50 kkyon/botflow inactive 2.0 39:24.6
340 Stock.Indicators https://github.com/DaveSkender/Stock.Indicators list of technical indicators implemented in c#. Full list and explanation available [here](https://daveskender.github.io/Stock.Indicators/docs/INDICATORS.html). This list contains several indicators that ta-lib does not cover Other Models 2021-07-10 21:25:53 242.0 78.0 9.0 2019-12-29 05:18:07 2021-07-10 21:25:50 DaveSkender/Stock.Indicators active 3.0 39:24.6
341 Scikit-learn Stock Prediction https://github.com/robertmartin8/MachineLearningStocks using fundamental and pricing data to predict future stock returns. Sklearn's randomforest classifier is trainded and author claimed positive live trading results. Not actively mainained Other Models 2021-07-10 03:56:47 992.0 367.0 2.0 2017-02-12 04:50:44 2021-02-04 03:48:33 robertmartin8/MachineLearningStocks active 3.0
Speculator https://github.com/amicks/Speculator python code to predict crypto prices using machine learning models. Two models used here tensorflow DNNClassifier and sklearn randomforest. Exposes the functionality as web services api using flask. Some idea are based on this paper [predicting the direction of stock market prices](https://arxiv.org/pdf/1605.00003.pdf) Other Models 2021-07-01 00:48:21 107.0 31.0 2.0 2017-09-03 17:43:03 2018-09-12 18:58:38 amicks/Speculator inactive 3.0 39:24.6
342 finance_ml https://github.com/jjakimoto/finance_ml unofficial repo based on [Advances in Financial Machine Learning](https://www.amazon.com/Advances-Financial-Machine-Learning-Marcos/dp/1119482089). It's incomplete and not updated Other Models 2021-07-08 08:24:48 306.0 130.0 1.0 2018-06-29 21:21:17 2021-06-07 19:28:50 jjakimoto/finance_ml active 1.0 39:24.6
343 Machine-Learning-for-Algorithmic-Trading-Bots-with-Python https://github.com/PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Bots-with-Python code repo for [machine learning for algorithmic trading bots](https://www.packtpub.com/application-development/machine-learning-algorithmic-trading-bots-python-video) video series. Contains notebooks and deep dive using [zipline](https://github.com/quantopian/zipline) Other Models 2021-07-09 09:46:55 195.0 104.0 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
344 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 2021-07-05 08:51:42 614.0 137.0 3.0 2016-02-14 00:47:32 2021-02-08 21:35:40 ScottfreeLLC/AlphaPy active 4.0 39:24.6
345 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 2021-07-09 14:30:15 177.0 94.0 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
346 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 2021-07-09 00:02:21 293.0 127.0 3.0 2019-09-27 16:13:50 2020-06-13 21:20:26 mfrdixon/ML_Finance_Codes active 3.0 39:24.6
347 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
348 Speculator https://github.com/amicks/Speculator python code to predict crypto prices using machine learning models. Two models used here tensorflow DNNClassifier and sklearn randomforest. Exposes the functionality as web services api using flask. Some idea are based on this paper [predicting the direction of stock market prices](https://arxiv.org/pdf/1605.00003.pdf) Other Models 2021-07-01 00:48:21 107.0 31.0 2.0 2017-09-03 17:43:03 2018-09-12 18:58:38 amicks/Speculator inactive 3.0 39:24.6
349 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 2021-07-08 21:01:34 2194.0 708.0 1.0 2016-09-12 18:38:17 2021-06-24 15:43:54 anfederico/clairvoyant active 3.0
350 Fundamental LT Forecasts https://github.com/Hvass-Labs/FinanceOps Research in investment finance for long term forecasts and a curated list of notebooks. Each topic contains a youtube video explaining in details. Interesting topics including using price per book ratio and other multiples for future return prediction and portfolio optimization. data sourced form [simfin](https://github.com/SimFin/simfin) yahoo finance and [s&p 500 earnings and estimate report](https://www.spglobal.com/spdji/en/documents/additional-material/sp-500-eps-est.xlsx) etc. Other Models 2021-07-10 19:30:59 435.0 134.0 1.0 2018-07-22 08:14:46 2021-06-04 15:59:04 Hvass-Labs/FinanceOps active 3.0
351 surpriver https://github.com/tradytics/surpriver Machine learning algo to detect anomaly in equities data. Uses sklearn [IsolationForest](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.IsolationForest.html) model and price/volume based technical signals as features using [ta](https://github.com/bukosabino/ta) library. Opensourced by [tradytics](https://tradytics.com/). Code structures are less extensible Other Models 2021-07-09 16:50:06 1252.0 236.0 6.0 2020-08-30 07:56:22 2020-09-21 04:32:05 tradytics/surpriver active 3.0 39:24.6
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 2021-07-09 14:58:57 2462.0 755.0 3.0 2019-02-13 16:57:25 2021-06-29 22:40:46 hudson-and-thames/mlfinlab active 3.0 39:24.6
353 awesome-ai-in-finance https://github.com/georgezouq/awesome-ai-in-finance curated list of books/online courses/papers on AI and finance. Topics include crypto trading strategies/ta/backter etc. Other Models 2021-07-10 19:35:55 1057.0 183.0 8.0 2018-08-29 02:07:02 2021-07-02 07:12:52 georgezouq/awesome-ai-in-finance active 3.0 39:24.6
354 Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original https://github.com/PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original official repo for [machine learning for algorithmic trading](https://www.amazon.com/Machine-Learning-Algorithmic-Trading-alternative/dp/1839217715?pf_rd_r=GZH2XZ35GB3BET09PCCA&pf_rd_p=c5b6893a-24f2-4a59-9d4b-aff5065c90ec&pd_rd_r=91a679c7-f069-4a6e-bdbb-a2b3f548f0c8&pd_rd_w=2B0Q0&pd_rd_wg=GMY5S&ref_=pd_gw_ci_mcx_mr_hp_d) book. Covering topics including backtesting/boosting/nlp/deep&reinforcement learning. Leverage open source libraries including [backtrader](https://www.backtrader.com/) [zipline](https://github.com/quantopian/zipline) and [talib](https://github.com/mrjbq7/ta-lib) Other Models 2021-07-10 07:38:24 346.0 157.0 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
355 MathAndScienceNotes https://github.com/melling/MathAndScienceNotes Collections of news/articles on various topics including quant trading and machine learning. Some articles are from [ycombinator message board](https://news.ycombinator.com/news) and [rediit algotrading forum](https://www.reddit.com/r/algotrading/) Other Models 2021-07-03 18:36:18 465.0 57.0 1.0 2016-03-11 19:13:00 2020-12-21 03:54:51 melling/MathAndScienceNotes active 3.0 39:24.6
356 Awesome-Quant-Machine-Learning-Trading https://github.com/grananqvist/Awesome-Quant-Machine-Learning-Trading curated list of books/online courses/youtube videos/blogs/interviews/papers/code etc. Updates are pretty infrequent Other Models 2021-07-10 14:58:24 1120.0 343.0 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
357 Machine-Learning-and-AI-in-Trading https://github.com/PyPatel/Machine-Learning-and-AI-in-Trading repo covering lstm and other sklearn model for trading. Code is not structured well and less extensible Other Models 2021-07-09 18:36:48 273.0 104.0 1.0 2017-08-30 06:14:59 2019-10-29 08:14:39 PyPatel/Machine-Learning-and-AI-in-Trading active 2.0 39:24.6
358 Mixture Models II https://github.com/BlackArbsCEO/mixture_model_trading_public Mixture models and stock trading. Other Models 2021-07-02 05:28:11 170.0 74.0 1.0 2017-12-11 17:05:38 2020-05-13 23:50:47 BlackArbsCEO/mixture_model_trading_public active 3.0
359 Stanford-Project-Predicting-stock-prices-using-a-LSTM-Network https://github.com/dduemig/Stanford-Project-Predicting-stock-prices-using-a-LSTM-Network NEW Other Models 2021-07-03 10:21:47 104.0 31.0 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
360 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 2021-07-04 13:49:59 249.0 97.0 1.0 2017-01-17 12:44:52 2017-01-17 12:48:17 AdeelMufti/CryptoBot inactive 2.0 39:24.6
361 Mixture Models I https://github.com/BlackArbsCEO/Mixture_Models Mixture models to predict market bottoms and regime changes based on a seminar given to quantinsti in 2017 and summary and video is [here](https://blog.quantinsti.com/webinar-can-we-use-mixture-models-to-predict-market-bottoms/). Gaussian mixture models are build on markov models and expectation maximization thoery to detect regimes and seminar reported positive results using features asset returns/tedrate/10y2ysptread/10y3m spread from fred which can be access here [fredapi](https://github.com/mortada/fredapi). Though most of the returns came from being long equities after 2009 Other Models 2021-05-16 20:01:22 32.0 32.0 1.0 2017-03-20 18:54:24 2017-04-25 23:35:20 BlackArbsCEO/Mixture_Models inactive 2.0
362 stock-trading-ml https://github.com/yacoubb/stock-trading-ml lstm model using keras to predict msft prices. Data is from [alphavantage](https://www.alphavantage.co/) which provides some free data through web services. Showing how to use concatenation layer to join timeseries data with TA data. Might be abit of overfitting on the model though Other Models 2021-07-02 21:08:40 371.0 212.0 1.0 2019-10-10 09:44:02 2019-10-12 11:38:49 yacoubb/stock-trading-ml active 3.0 39:24.6
363 fin-ml https://github.com/tatsath/fin-ml accompanying materials for book [Machine Learning and Data Science Blueprints for Finance](https://www.amazon.com/Machine-Learning-Science-Blueprints-Finance/dp/1492073059) on top of basic machine learning models i.e. nlp/reinforcement learning/supervised & unsupervised learning it covers wider topics including robo-advisors/fraud detection/loan default/derivative pricing/yield curve construction. Other Models 2021-07-06 16:31:25 153.0 100.0 2.0 2020-05-10 00:25:56 2021-01-23 17:15:07 tatsath/fin-ml active 4.0 39:24.6
364 Trend Following http://inseaddataanalytics.github.io/INSEADAnalytics/ExerciseSet2.html A futures trend following portfolio investment strategy. Other Models
365 Hands-On-Machine-Learning-for-Algorithmic-Trading https://github.com/PacktPublishing/Hands-On-Machine-Learning-for-Algorithmic-Trading repo for book [hands-on-machine learning for algorithmic trading](https://www.packtpub.com/product/hands-on-machine-learning-for-algorithmic-trading/9781789346411) covering topic from data/unsupervised learning/NPL/RNN & CNN/reinforcement learning etc. Leverage zipline/alphalens/sklearn/openai-gym etc as well. Good references to have Other Models 2021-07-03 17:54:20 646.0 424.0 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
366 Machine Learning in Asset Management—Part 1: Portfolio Construction—Trading Strategies https://jfds.pm-research.com/content/2/1/10 Personal Papers
367 Financial Event Prediction using Machine Learning https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3481555 Personal Papers
368 Machine Learning in Asset Management https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3420952 Personal Papers
369 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
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
PyPortfolioOpt https://github.com/robertmartin8/PyPortfolioOpt Financial portfolio optimisation, including classical efficient frontier and advanced methods. Portfolio Selection and Optimisation 2021-07-10 08:55:14 2143.0 533.0 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 2021-07-09 00:16:12 1328.0 641.0 6.0 2017-11-12 16:08:44 2019-05-09 09:50:18 ZhengyaoJiang/PGPortfolio inactive
Modern Portfolio Theory https://nbviewer.jupyter.org/github/Marigold/universal-portfolios/blob/master/modern-portfolio-theory.ipynb Universal portfolios; modern portfolio theory. Portfolio Selection and Optimisation
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
Online Portfolio Selection https://nbviewer.jupyter.org/github/paulperry/quant/blob/master/OLPS_Comparison.ipynb ****Comparing OLPS algorithms on a diversified set of ETFs. Portfolio Selection and Optimisation
Efficient Frontier https://github.com/tthustla/efficient_frontier/blob/master/Efficient%20_Frontier_implementation.ipynb Modern Portfolio Theory. Portfolio Selection and Optimisation 2021-07-07 09:40:52 111.0 59.0 1.0 2018-02-17 08:19:46 2018-02-27 13:16:57 tthustla/efficient_frontier 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
370 Riskfolio-Lib https://github.com/dcajasn/Riskfolio-Lib NEW Portfolio Selection and Optimisation 2021-07-10 15:35:22 543.0 85.0 1.0 2020-03-02 19:49:06 2021-07-03 22:53:28 dcajasn/Riskfolio-Lib active 37:19.5
riskparity.py https://github.com/dppalomar/riskparity.py NEW Portfolio Selection and Optimisation 2021-07-06 06:58:33 156.0 36.0 2.0 2019-07-13 21:30:55 2021-06-10 12:25:08 dppalomar/riskparity.py active 37:19.5
Reinforcement Learning https://github.com/filangel/qtrader Reinforcement Learning for Portfolio Management. Portfolio Selection and Optimisation 2021-07-04 14:40:03 367.0 152.0 1.0 2017-10-07 09:14:33 2018-06-26 09:22:27 filangelos/qtrader inactive
node-finance https://github.com/albertosantini/node-finance NEW Portfolio Selection and Optimisation 2021-05-27 04:16:16 105.0 26.0 3.0 2011-09-17 17:49:56 2021-04-05 08:01:12 albertosantini/node-finance active 37:19.5
371 Distribution Characteristic Optimisation https://github.com/VivekPa/OptimalPortfolio Extends classical portfolio optimisation to take the skewness and kurtosis of the distribution of market invariants into account. Portfolio Selection and Optimisation 2021-07-08 05:52:52 248.0 83.0 3.0 2018-11-16 12:20:25 2021-06-29 04:28:09 VivekPa/OptimalPortfolio active
372 DeepDow https://github.com/jankrepl/deepdow Portfolio optimization with deep learning. Portfolio Selection and Optimisation 2021-07-10 11:06:58 363.0 66.0 3.0 2020-02-02 08:46:33 2021-07-09 14:59:21 jankrepl/deepdow active
373 Extensive NLP node-finance https://github.com/TiesdeKok/Python_NLP_Tutorial/blob/master/NLP_Notebook.ipynb https://github.com/albertosantini/node-finance Comprehensive NLP techniques for accounting research. NEW Textual Portfolio Selection and Optimisation 2021-06-20 19:27:08 2021-05-27 04:16:16 81.0 105.0 45.0 26.0 1.0 3.0 2017-10-25 07:10:26 2011-09-17 17:49:56 2020-06-05 03:28:46 2021-04-05 08:01:12 TiesdeKok/Python_NLP_Tutorial albertosantini/node-finance active 37:19.5
374 Financial Sentiment Analysis Reinforcement Learning https://github.com/EricHe98/Financial-Statements-Text-Analysis https://github.com/filangel/qtrader Sentiment, distance and proportion analysis for trading signals. Reinforcement Learning for Portfolio Management. Textual Portfolio Selection and Optimisation 2021-04-30 10:07:46 2021-07-04 14:40:03 50.0 367.0 27.0 152.0 1.0 2017-06-23 00:05:49 2017-10-07 09:14:33 2019-01-26 03:35:55 2018-06-26 09:22:27 EricHe98/Financial-Statements-Text-Analysis filangelos/qtrader inactive
375 Financial Statement Sentiment riskparity.py https://github.com/MAydogdu/TextualAnalysis https://github.com/dppalomar/riskparity.py Extracting sentiment from financial statements using neural networks. NEW Textual Portfolio Selection and Optimisation 2021-05-07 20:35:27 2021-07-06 06:58:33 11.0 156.0 8.0 36.0 1.0 2.0 2018-06-04 20:54:14 2019-07-13 21:30:55 2018-06-04 20:56:02 2021-06-10 12:25:08 MAydogdu/TextualAnalysis dppalomar/riskparity.py inactive active 37:19.5
376 NLP OLMAR Algorithm https://github.com/toamitesh/NLPinFinance https://github.com/charlessutton/OLMAR/blob/master/Part3.ipynb This project assembles a lot of NLP operations needed for finance domain. Relative importance of each component of the OLMAR algorithm. Textual 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 toamitesh/NLPinFinance charlessutton/OLMAR inactive
377 FinNLP-Progress PyPortfolioOpt https://github.com/YangLinyi/FinNLP-Progress https://github.com/robertmartin8/PyPortfolioOpt NEW Financial portfolio optimisation, including classical efficient frontier and advanced methods. Textual Portfolio Selection and Optimisation 2021-07-09 01:43:47 2021-07-10 08:55:14 180.0 2143.0 23.0 533.0 5.0 18.0 2020-05-21 09:59:56 2018-05-29 13:30:30 2021-06-04 08:29:05 2021-06-17 10:18:37 YangLinyi/FinNLP-Progress robertmartin8/PyPortfolioOpt active 24:28.5
378 financial-news-dataset Online Portfolio Selection https://github.com/philipperemy/financial-news-dataset https://nbviewer.jupyter.org/github/paulperry/quant/blob/master/OLPS_Comparison.ipynb NEW ****Comparing OLPS algorithms on a diversified set of ETFs. Textual Portfolio Selection and Optimisation 2021-06-24 10:04:05 158.0 77.0 1.0 2016-08-23 13:29:07 2021-03-04 06:34:24 philipperemy/financial-news-dataset active 24:28.5
379 Earning call transcripts 401K Portfolio Optimisation https://github.com/lin882/WebAnalyticsProject https://github.com/otosman/Python-for-Finance/blob/master/Portfolio%20Optimization%20401k.ipynb Correlation between mutual fund investment decision and earning call transcripts. Portfolio analyses and optimisation for 401K. Textual Portfolio Selection and Optimisation 2020-12-17 08:24:20 2020-12-25 09:39:33 3.0 14.0 3.0 5.0 1.0 2017-12-30 08:56:03 2018-08-01 19:48:24 2018-01-11 02:11:11 2019-09-05 11:18:56 lin882/WebAnalyticsProject otosman/Python-for-Finance inactive active
380 news-emotion Modern Portfolio Theory https://github.com/dongyuanxin/news-emotion https://nbviewer.jupyter.org/github/Marigold/universal-portfolios/blob/master/modern-portfolio-theory.ipynb NEW Universal portfolios; modern portfolio theory. Textual Portfolio Selection and Optimisation 2021-07-08 05:25:45 252.0 122.0 1.0 2017-09-14 02:59:03 2018-06-11 13:47:51 dongyuanxin/news-emotion inactive 24:28.5
381 BDCI2019-Negative_Finance_Info_Judge Policy Gradient Portfolio https://github.com/A-Rain/BDCI2019-Negative_Finance_Info_Judge https://github.com/ZhengyaoJiang/PGPortfolio NEW A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem. Textual Portfolio Selection and Optimisation 2021-06-07 06:46:18 2021-07-09 00:16:12 109.0 1328.0 24.0 641.0 3.0 6.0 2019-12-27 03:49:31 2017-11-12 16:08:44 2020-12-04 03:38:57 2019-05-09 09:50:18 A-Rain/BDCI2019-Negative_Finance_Info_Judge ZhengyaoJiang/PGPortfolio active inactive 24:28.5
382 Fund classification Deep Portfolio Theory https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb https://github.com/tcloaa/Deep-Portfolio-Theory Fund classification using text mining and NLP. Autoencoder framework for portfolio selection. Textual Portfolio Selection and Optimisation 2021-03-31 02:12:50 2021-06-05 05:01:47 4.0 107.0 3.0 60.0 1.0 2018-04-16 22:18:55 2017-02-10 09:03:08 2018-06-07 22:01:32 2018-03-08 16:47:00 frechfrechfrech/Mutual-Fund-Market-Clusters tcloaa/Deep-Portfolio-Theory inactive
383 NLP Event Efficient Frontier https://github.com/yuriak/DLQuant https://github.com/tthustla/efficient_frontier/blob/master/Efficient%20_Frontier_implementation.ipynb Applying Deep Learning and NLP in Quantitative Trading. Modern Portfolio Theory. Textual Portfolio Selection and Optimisation 2021-06-11 05:42:05 2021-07-07 09:40:52 72.0 111.0 32.0 59.0 1.0 2018-07-02 23:50:52 2018-02-17 08:19:46 2019-01-31 14:08:20 2018-02-27 13:16:57 yuriak/DLQuant tthustla/efficient_frontier inactive
awesome-financial-nlp https://github.com/icoxfog417/awesome-financial-nlp NEW Textual 2021-07-08 14:47:38 241.0 39.0 2.0 2019-10-03 03:53:20 2020-02-01 08:28:16 icoxfog417/awesome-financial-nlp active 24:28.5
Accounting Anomalies https://github.com/GitiHubi/deepAI/blob/master/GTC_2018_Lab-solutions.ipynb Using deep-learning frameworks to identify accounting anomalies. Textual 2021-07-02 01:23:02 118.0 52.0 2.0 2017-05-24 12:36:38 2019-08-07 21:47:08 GitiHubi/deepAI active
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
384 FinBERT https://github.com/psnonis/FinBERT NEW Textual 2021-07-08 12:28:51 147.0 48.0 3.0 2019-07-09 16:34:27 2020-05-19 02:02:20 psnonis/FinBERT active 24:28.5
385 AnomalyDetectionOnRisk Buzzwords https://github.com/SimonWesterlindVPD/AnomalyDetectionOnRisk https://github.com/swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds NEW Return performance and mutual fund selection. Unsupervised Textual 2021-05-19 11:40:07 2020-10-06 18:54:58 12.0 1.0 5.0 4.0 1.0 2018-05-31 15:53:02 2018-02-04 21:51:16 2018-05-31 16:18:28 2018-02-04 21:57:09 SimonWesterlindVPD/AnomalyDetectionOnRisk swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds inactive 24:29.9
386 Fund Clusters Accounting Anomalies https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb https://github.com/GitiHubi/deepAI/blob/master/GTC_2018_Lab-solutions.ipynb Data exploration of fund clusters. Using deep-learning frameworks to identify accounting anomalies. Unsupervised Textual 2021-03-31 02:12:50 2021-07-02 01:23:02 4.0 118.0 3.0 52.0 1.0 2.0 2018-04-16 22:18:55 2017-05-24 12:36:38 2018-06-07 22:01:32 2019-08-07 21:47:08 frechfrechfrech/Mutual-Fund-Market-Clusters GitiHubi/deepAI inactive active
387 awesome-financial-nlp https://github.com/icoxfog417/awesome-financial-nlp NEW Textual 2021-07-08 14:47:38 241.0 39.0 2.0 2019-10-03 03:53:20 2020-02-01 08:28:16 icoxfog417/awesome-financial-nlp active 24:28.5
388 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
389 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
390 news-emotion https://github.com/dongyuanxin/news-emotion NEW Textual 2021-07-08 05:25:45 252.0 122.0 1.0 2017-09-14 02:59:03 2018-06-11 13:47:51 dongyuanxin/news-emotion inactive 24:28.5
391 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
392 financial-news-dataset https://github.com/philipperemy/financial-news-dataset NEW Textual 2021-06-24 10:04:05 158.0 77.0 1.0 2016-08-23 13:29:07 2021-03-04 06:34:24 philipperemy/financial-news-dataset active 24:28.5
393 FinNLP-Progress https://github.com/YangLinyi/FinNLP-Progress NEW Textual 2021-07-09 01:43:47 180.0 23.0 5.0 2020-05-21 09:59:56 2021-06-04 08:29:05 YangLinyi/FinNLP-Progress active 24:28.5
394 NLP https://github.com/toamitesh/NLPinFinance This project assembles a lot of NLP operations needed for finance domain. Textual toamitesh/NLPinFinance
395 Financial Statement Sentiment https://github.com/MAydogdu/TextualAnalysis Extracting sentiment from financial statements using neural networks. Textual 2021-05-07 20:35:27 11.0 8.0 1.0 2018-06-04 20:54:14 2018-06-04 20:56:02 MAydogdu/TextualAnalysis inactive
396 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
397 Extensive NLP https://github.com/TiesdeKok/Python_NLP_Tutorial/blob/master/NLP_Notebook.ipynb Comprehensive NLP techniques for accounting research. Textual 2021-06-20 19:27:08 81.0 45.0 1.0 2017-10-25 07:10:26 2020-06-05 03:28:46 TiesdeKok/Python_NLP_Tutorial active
398 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
399 Stock_Support_Resistance_ML https://github.com/judopro/Stock_Support_Resistance_ML NEW Unsupervised 2021-07-06 03:01:49 22.0 19.0 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
400 all-classification-templetes-for-ML https://github.com/sayantann11/all-classification-templetes-for-ML NEW Unsupervised 2021-07-05 08:35:31 33.0 14.0 1.0 2020-05-05 10:28:52 2020-05-05 10:30:32 sayantann11/all-classification-templetes-for-ML active 24:29.9
401 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
402 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
403 Pairs Trading https://github.com/marketneutral/pairs-trading-with-ML/blob/master/Pairs%2BTrading%2Bwith%2BMachine%2BLearning.ipynb Finding pairs with cluster analysis. Unsupervised 2021-06-08 10:54:06 85.0 40.0 0.0 2017-09-05 19:19:19 2017-09-27 20:42:14 marketneutral/pairs-trading-with-ML inactive
404 Eigen-Portfolio https://github.com/Gustrigos/Eigen-Portfolio NEW Unsupervised 2021-07-07 01:28:39 40.0 11.0 1.0 2018-09-05 05:29:18 2020-04-09 21:40:04 Gustrigos/Eigen-Portfolio active 24:29.9
405 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
406 hmm_market_behavior Fund Clusters https://github.com/lamres/hmm_market_behavior https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb NEW Data exploration of fund clusters. Unsupervised 2021-02-20 07:43:59 2021-03-31 02:12:50 25.0 4.0 18.0 3.0 1.0 2019-09-08 17:37:39 2018-04-16 22:18:55 2020-05-10 14:36:03 2018-06-07 22:01:32 lamres/hmm_market_behavior frechfrechfrech/Mutual-Fund-Market-Clusters active inactive 24:29.9
407 Pairs Trading AnomalyDetectionOnRisk https://github.com/marketneutral/pairs-trading-with-ML/blob/master/Pairs%2BTrading%2Bwith%2BMachine%2BLearning.ipynb https://github.com/SimonWesterlindVPD/AnomalyDetectionOnRisk Finding pairs with cluster analysis. NEW Unsupervised 2021-06-08 10:54:06 2021-05-19 11:40:07 85.0 12.0 40.0 5.0 0.0 1.0 2017-09-05 19:19:19 2018-05-31 15:53:02 2017-09-27 20:42:14 2018-05-31 16:18:28 marketneutral/pairs-trading-with-ML SimonWesterlindVPD/AnomalyDetectionOnRisk 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
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
all-classification-templetes-for-ML https://github.com/sayantann11/all-classification-templetes-for-ML NEW Unsupervised 2021-07-05 08:35:31 33.0 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
Stock_Support_Resistance_ML https://github.com/judopro/Stock_Support_Resistance_ML NEW Unsupervised 2021-07-06 03:01:49 22.0 19.0 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
408 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
409 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
410 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