{chore: autopublish 2021-05-28T03:19:11Z}

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@@ -12,108 +12,134 @@ 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,2021-05-23 06:36:01,157.0,41.0,2.0,2016-09-17 01:30:26,2021-05-19 19:49:27,joelparkerhenderson/pitch-deck,active,,2021-05-24 02:12:13.615391
Stanford Advanced Financial Technologies,https://fintech.stanford.edu/,Stanford Advanced Financial Technologies Laboratory,Colleges Centers and Departments,,,,,,,,,,
Cornell University,https://www.cornell.edu/,,Colleges Centers and Departments,,,,,,,,,,
NYU FRE,https://engineering.nyu.edu/academics/departments/finance-and-risk-engineering,Finance and Risk Engineering (NYU Tandon),Colleges Centers and Departments,,,,,,,,,,
Oxford Man,https://www.oxford-man.ox.ac.uk/,Oxford-Man Institute of Quantitative Finance,Colleges Centers and Departments,,,,,,,,,,
Berkeley Lab CIFT,https://cs.lbl.gov/news-media/news/news-archive/2010/berkeley-lab-launches-new-center-for-innovative-financial-technology/,,Colleges Centers and Departments,,,,,,,,,,
NYU Courant,https://cims.nyu.edu/,"Courant Institute of Mathematical Sciences, New York University",Colleges Centers and Departments,,,,,,,,,,
Oxford Man,https://www.oxford-man.ox.ac.uk/,Oxford-Man Institute of Quantitative Finance,Colleges Centers and Departments,,,,,,,,,,
china-dictatorship,https://github.com/cirosantilli/china-dictatorship,NEW,Courses,2021-05-22 23:39:00,418.0,45.0,4.0,2015-04-02 20:51:50,2021-05-20 04:00:03,cirosantilli/china-dictatorship,active,,2021-04-19 01:25:20.750834
Developing_Data_Products,https://github.com/DataScienceSpecialization/Developing_Data_Products,NEW,Courses,2021-05-20 13:53:17,200.0,1277.0,2.0,2016-08-25 19:47:39,2017-07-31 15:11:59,DataScienceSpecialization/Developing_Data_Products,inactive,,2021-05-24 02:12:43.928732
stanford-cs229,https://github.com/zyxue/stanford-cs229,NEW,Courses,2021-05-22 05:35:08,514.0,291.0,2.0,2017-10-31 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
stanford-cs231,https://github.com/machinelearningnanodegree/stanford-cs231,NEW,Courses,2021-05-18 18:13:19,251.0,123.0,4.0,2016-09-05 01:40:41,2017-02-03 16:46:46,machinelearningnanodegree/stanford-cs231,inactive,,2021-04-19 01:25:20.750834
courses,https://github.com/DataScienceSpecialization/courses,NEW,Courses,2021-05-21 12:11:25,3766.0,30783.0,13.0,2014-01-21 10:22:57,2016-03-16 12:13:44,DataScienceSpecialization/courses,inactive,,2021-04-19 01:25:20.750834
DataScienceCourse,https://github.com/briandalessandro/DataScienceCourse,NEW,Courses,2021-05-21 20:34:07,586.0,735.0,13.0,2014-10-01 08:45:51,2020-12-20 13:03:56,briandalessandro/DataScienceCourse,active,,2021-04-19 01:25:20.750834
ml-workspace,https://github.com/AdicherlaVenkataSai/ml-workspace,NEW,Courses,2021-05-18 21:04:35,258.0,84.0,1.0,2020-07-10 06:38:10,2020-09-23 18:16:09,AdicherlaVenkataSai/ml-workspace,active,,2021-04-19 01:25:20.750834
CourseraML,https://github.com/kaleko/CourseraML,NEW,Courses,2021-05-22 12:59:19,1885.0,775.0,0.0,2015-12-08 00:03:22,2018-10-30 23:49:56,kaleko/CourseraML,inactive,,2021-04-19 01:25:20.750834
competitive-data-science,https://github.com/hse-aml/competitive-data-science,NEW,Courses,2021-05-16 21:55:23,562.0,578.0,9.0,2017-10-28 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,2021-05-18 18:12:29,900.0,2443.0,6.0,2013-04-12 05:54:36,2017-03-21 19:21:02,uwescience/datasci_course_materials,inactive,,2021-04-19 01:25:20.750834
datascience-box,https://github.com/rstudio-education/datascience-box,NEW,Courses,2021-05-20 18:30:23,650.0,257.0,16.0,2017-12-29 22:16:17,2021-05-18 00:00:59,rstudio-education/datascience-box,active,,2021-04-19 01:25:20.750834
DAT8,https://github.com/justmarkham/DAT8,NEW,Courses,2021-05-20 03:49:37,1494.0,974.0,1.0,2015-08-07 03:35:51,2016-04-18 18:34:09,justmarkham/DAT8,inactive,,2021-04-19 01:25:20.750834
Cornell University,https://www.cornell.edu/,,Colleges Centers and Departments,,,,,,,,,,
Stanford Advanced Financial Technologies,https://fintech.stanford.edu/,Stanford Advanced Financial Technologies Laboratory,Colleges Centers and Departments,,,,,,,,,,
NYU FRE,https://engineering.nyu.edu/academics/departments/finance-and-risk-engineering,Finance and Risk Engineering (NYU Tandon),Colleges Centers and Departments,,,,,,,,,,
Introduction-to-Machine-Learning,https://github.com/codeheroku/Introduction-to-Machine-Learning,NEW,Courses,2021-05-22 15:20:09,285.0,760.0,3.0,2019-02-09 12:07:52,2020-11-28 08:44:08,codeheroku/Introduction-to-Machine-Learning,active,,2021-04-19 01:25:20.750834
Play-with-Machine-Learning-Algorithms,https://github.com/liuyubobobo/Play-with-Machine-Learning-Algorithms,NEW,Courses,2021-05-22 19:33:49,1054.0,565.0,1.0,2017-10-17 23:13:24,2020-11-10 08:26:50,liuyubobobo/Play-with-Machine-Learning-Algorithms,active,,2021-04-19 01:25:20.750834
mlcourse,https://github.com/davidrosenberg/mlcourse,NEW,Courses,2021-05-11 18:35:53,404.0,219.0,9.0,2015-10-11 22:18:25,2021-03-14 01:19:08,davidrosenberg/mlcourse,active,,2021-04-19 01:25:20.750834
ppd599,https://github.com/gboeing/ppd599,NEW,Courses,2021-05-20 03:49:45,1078.0,456.0,1.0,2015-09-01 19:59:59,2021-05-12 00:29:25,gboeing/ppd599,active,,2021-04-19 01:25:20.750834
DAT4,https://github.com/justmarkham/DAT4,NEW,Courses,2021-05-18 16:23:43,749.0,652.0,3.0,2014-12-10 19:38:29,2021-02-15 23:26:27,justmarkham/DAT4,active,,2021-04-19 01:25:20.750834
stat479-machine-learning-fs19,https://github.com/rasbt/stat479-machine-learning-fs19,NEW,Courses,2021-04-25 05:26:18,650.0,223.0,1.0,2019-08-07 07:36:20,2020-11-28 00:04:07,rasbt/stat479-machine-learning-fs19,active,,2021-04-19 01:25:20.750834
zero-to-mastery-ml,https://github.com/mrdbourke/zero-to-mastery-ml,NEW,Courses,2021-05-22 17:20:48,730.0,1266.0,14.0,2019-09-23 04:56:51,2021-04-13 06:55:10,mrdbourke/zero-to-mastery-ml,active,,2021-04-19 01:25:20.750834
Artificial-Intelligence-and-Machine-Learning,https://github.com/emilmont/Artificial-Intelligence-and-Machine-Learning,NEW,Courses,2021-05-04 13:09:47,515.0,301.0,1.0,2011-10-16 22:51:06,2013-07-20 18:21:51,emilmont/Artificial-Intelligence-and-Machine-Learning,inactive,,2021-04-19 01:25:20.750834
MTH594_MachineLearning,https://github.com/diefimov/MTH594_MachineLearning,NEW,Courses,2021-04-24 16:56:41,330.0,135.0,1.0,2016-03-09 07:35:19,2017-03-31 21:46:26,diefimov/MTH594_MachineLearning,inactive,,2021-04-19 01:25:20.750834
Machine-Learning-by-Andrew-Ng-in-Python,https://github.com/Benlau93/Machine-Learning-by-Andrew-Ng-in-Python,NEW,Courses,2021-05-20 06:06:39,244.0,202.0,1.0,2018-12-06 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,2021-05-19 06:25:13,374.0,331.0,1.0,2016-08-20 18:05:22,2016-09-05 19:14:41,AvaisP/machine-learning-programming-assignments-coursera-andrew-ng,inactive,,2021-04-19 01:25:20.750834
machine-learning-resources,https://github.com/datascienceid/machine-learning-resources,NEW,Courses,2021-05-11 03:38:34,239.0,89.0,4.0,2018-04-09 15:10:08,2019-07-30 14:25:27,datascienceid/machine-learning-resources,active,,2021-04-19 01:25:20.750834
ML_course,https://github.com/epfml/ML_course,NEW,Courses,2021-05-22 06:48:06,651.0,512.0,29.0,2016-07-13 15:37:38,2021-01-31 23:50:35,epfml/ML_course,active,,2021-04-19 01:25:20.750834
Stanford-Machine-Learning-Course,https://github.com/zhouxc/Stanford-Machine-Learning-Course,NEW,Courses,2021-05-14 04:03:06,512.0,364.0,1.0,2011-12-25 10:00:48,2011-12-25 10:01:12,zhouxc/Stanford-Machine-Learning-Course,inactive,,2021-04-19 01:25:20.750834
awesome-ml-courses,https://github.com/luspr/awesome-ml-courses,NEW,Courses,2021-05-21 15:37:44,1997.0,218.0,4.0,2020-05-08 20:41:59,2021-02-18 20:26:31,luspr/awesome-ml-courses,active,,2021-04-19 01:25:20.750834
stat479-machine-learning-fs18,https://github.com/rasbt/stat479-machine-learning-fs18,NEW,Courses,2021-05-22 16:10:13,421.0,207.0,1.0,2018-09-06 00:30:56,2018-12-20 23:45:13,rasbt/stat479-machine-learning-fs18,inactive,,2021-04-19 01:25:20.750834
machine-learning-notebooks,https://github.com/krasserm/machine-learning-notebooks,NEW,Courses,2021-05-20 07:45:13,296.0,126.0,1.0,2017-07-24 10:21:05,2020-09-07 12:48:43,krasserm/machine-learning-notebooks,active,,2021-04-19 01:25:20.750834
DAT7,https://github.com/justmarkham/DAT7,NEW,Courses,2021-05-16 08:51:39,226.0,198.0,1.0,2015-05-16 02:29:54,2016-03-18 16:20:30,justmarkham/DAT7,inactive,,2021-04-19 01:25:20.750834
2014,https://github.com/cs109/2014,NEW,Courses,2021-05-17 01:31:57,309.0,766.0,4.0,2014-07-21 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,2021-05-22 15:45:05,6657.0,1220.0,9.0,2019-02-15 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,2021-05-18 23:57:27,1104.0,938.0,1.0,2014-08-28 10:48:18,2014-06-17 10:37:27,Borye/machine-learning-coursera-1,inactive,,2021-04-19 01:25:20.750834
Udemy---Machine-Learning,https://github.com/jmportilla/Udemy---Machine-Learning,NEW,Courses,2021-03-31 17:57:54,206.0,407.0,3.0,2015-04-27 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,2021-05-20 06:15:25,2402.0,838.0,11.0,2018-05-09 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,2021-05-22 05:46:59,258.0,487.0,3.0,2018-07-18 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,2021-05-19 19:21:16,303.0,2766.0,2.0,2019-01-09 20:30:46,2021-05-17 18:08:53,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,2021-05-22 21:07:58,10525.0,1937.0,30.0,2015-02-22 23:48:16,2021-03-15 05:34:55,hangtwenty/dive-into-machine-learning,active,,2021-04-19 01:25:20.750834
ciml,https://github.com/hal3/ciml,NEW,Courses,2021-05-22 16:20:09,779.0,218.0,2.0,2015-08-12 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,2021-05-12 18:15:37,623.0,371.0,4.0,2014-09-18 20:30:19,2020-05-19 09:21:02,justmarkham/DAT3,active,,2021-04-19 01:25:20.750834
ml-course-msu,https://github.com/esokolov/ml-course-msu,NEW,Courses,2021-04-28 20:04:03,764.0,303.0,1.0,2015-09-11 08:51:24,2018-05-07 15:40:56,esokolov/ml-course-msu,inactive,,2021-04-19 01:25:20.750834
MachineLearningWithPython,https://github.com/JerryKurata/MachineLearningWithPython,NEW,Courses,2021-05-19 02:17:44,230.0,343.0,1.0,2016-04-24 21:20:10,2021-04-15 18:17:30,JerryKurata/MachineLearningWithPython,active,,2021-04-19 01:25:20.750834
mlcourse.ai,https://github.com/Yorko/mlcourse.ai,NEW,Courses,2021-05-22 20:33:42,7646.0,5046.0,190.0,2017-02-27 08:32:20,2021-05-07 10:22:21,Yorko/mlcourse.ai,active,,2021-04-19 01:25:20.750834
master,https://github.com/ML-course/master,NEW,Courses,2021-05-23 00:39:39,331.0,173.0,11.0,2017-02-04 22:44:35,2021-04-23 22:36:34,ML-course/master,active,,2021-04-19 01:25:20.750834
JSE_OkCupid,https://github.com/rudeboybert/JSE_OkCupid,NEW,Courses,2021-05-05 12:52:23,210.0,62.0,1.0,2015-03-28 08:38:27,2021-04-26 18:35:26,rudeboybert/JSE_OkCupid,active,,2021-04-19 01:25:20.750834
DP100,https://github.com/MicrosoftLearning/DP100,NEW,Courses,2021-05-20 06:20:52,496.0,507.0,2.0,2020-01-06 20:38:41,2020-12-30 17:22:42,MicrosoftLearning/DP100,active,,2021-04-19 01:25:20.750834
Coursera-Stanford-ML-Python,https://github.com/mstampfer/Coursera-Stanford-ML-Python,NEW,Courses,2021-05-22 01:42:57,405.0,232.0,3.0,2015-10-28 19:51:00,2016-09-02 00:21:30,mstampfer/Coursera-Stanford-ML-Python,inactive,,2021-04-19 01:25:20.750834
DataScienceSpCourseNotes,https://github.com/sux13/DataScienceSpCourseNotes,NEW,Courses,2021-05-18 18:12:13,707.0,2405.0,10.0,2015-03-09 00:51:32,2016-02-16 06:12:54,sux13/DataScienceSpCourseNotes,inactive,,2021-04-19 01:25:20.750834
ml-mipt,https://github.com/girafe-ai/ml-mipt,NEW,Courses,2021-05-21 13:34:05,527.0,379.0,7.0,2019-02-01 16:20:39,2020-11-04 10:56:04,girafe-ai/ml-mipt,active,,2021-04-19 01:25:20.750834
course-resources-ml-with-experts-budgets,https://github.com/datacamp/course-resources-ml-with-experts-budgets,NEW,Courses,2021-05-21 16:19:19,461.0,582.0,2.0,2017-03-02 13:10:27,2017-12-14 20:46:54,datacamp/course-resources-ml-with-experts-budgets,inactive,,2021-04-19 01:25:20.750834
DataScience,https://github.com/JuliaAcademy/DataScience,NEW,Courses,2021-05-19 11:08:55,261.0,141.0,5.0,2020-05-21 01:26:52,2021-02-11 15:55:33,JuliaAcademy/DataScience,active,,2021-04-19 01:25:20.750834
PythonNumericalDemos,https://github.com/GeostatsGuy/PythonNumericalDemos,NEW,Courses,2021-05-18 15:56:39,254.0,195.0,1.0,2017-10-13 15:44:06,2021-05-18 14:43:22,GeostatsGuy/PythonNumericalDemos,active,,2021-04-19 01:25:20.750834
DAT8,https://github.com/justmarkham/DAT8,NEW,Courses,2021-05-20 03:49:37,1494.0,974.0,1.0,2015-08-07 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,2021-05-20 18:30:23,650.0,257.0,16.0,2017-12-29 22:16:17,2021-05-18 00:00:59,rstudio-education/datascience-box,active,,2021-04-19 01:25:20.750834
datasci_course_materials,https://github.com/uwescience/datasci_course_materials,NEW,Courses,2021-05-18 18:12:29,900.0,2443.0,6.0,2013-04-12 05:54:36,2017-03-21 19:21:02,uwescience/datasci_course_materials,inactive,,2021-04-19 01:25:20.750834
competitive-data-science,https://github.com/hse-aml/competitive-data-science,NEW,Courses,2021-05-16 21:55:23,562.0,578.0,9.0,2017-10-28 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,2021-05-22 12:59:19,1885.0,775.0,0.0,2015-12-08 00:03:22,2018-10-30 23:49:56,kaleko/CourseraML,inactive,,2021-04-19 01:25:20.750834
ml-workspace,https://github.com/AdicherlaVenkataSai/ml-workspace,NEW,Courses,2021-05-18 21:04:35,258.0,84.0,1.0,2020-07-10 06:38:10,2020-09-23 18:16:09,AdicherlaVenkataSai/ml-workspace,active,,2021-04-19 01:25:20.750834
DataScienceCourse,https://github.com/briandalessandro/DataScienceCourse,NEW,Courses,2021-05-21 20:34:07,586.0,735.0,13.0,2014-10-01 08:45:51,2020-12-20 13:03:56,briandalessandro/DataScienceCourse,active,,2021-04-19 01:25:20.750834
courses,https://github.com/DataScienceSpecialization/courses,NEW,Courses,2021-05-21 12:11:25,3766.0,30783.0,13.0,2014-01-21 10:22:57,2016-03-16 12:13:44,DataScienceSpecialization/courses,inactive,,2021-04-19 01:25:20.750834
stanford-cs231,https://github.com/machinelearningnanodegree/stanford-cs231,NEW,Courses,2021-05-18 18:13:19,251.0,123.0,4.0,2016-09-05 01:40:41,2017-02-03 16:46:46,machinelearningnanodegree/stanford-cs231,inactive,,2021-04-19 01:25:20.750834
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,2021-05-22 05:35:08,514.0,291.0,2.0,2017-10-31 23:01:08,2020-01-14 03:24:16,zyxue/stanford-cs229,active,,2021-04-19 01:25:20.750834
Developing_Data_Products,https://github.com/DataScienceSpecialization/Developing_Data_Products,NEW,Courses,2021-05-20 13:53:17,200.0,1277.0,2.0,2016-08-25 19:47:39,2017-07-31 15:11:59,DataScienceSpecialization/Developing_Data_Products,inactive,,2021-05-24 02:12:43.928732
china-dictatorship,https://github.com/cirosantilli/china-dictatorship,NEW,Courses,2021-05-22 23:39:00,418.0,45.0,4.0,2015-04-02 20:51:50,2021-05-20 04:00:03,cirosantilli/china-dictatorship,active,,2021-04-19 01:25:20.750834
machine-learning-coursera,https://github.com/yhyap/machine-learning-coursera,NEW,Courses,2020-09-27 02:25:20,231.0,196.0,1.0,2013-05-03 09:41:53,2013-05-05 11:58:38,yhyap/machine-learning-coursera,inactive,,2021-04-19 01:25:20.750834
datasciencecoursera,https://github.com/mGalarnyk/datasciencecoursera,NEW,Courses,2021-05-20 21:31:11,1759.0,1805.0,8.0,2016-12-27 03:59:24,2021-02-19 04:16:58,mGalarnyk/datasciencecoursera,active,,2021-04-19 01:25:20.750834
coursera-deep-learning-specialization,https://github.com/amanchadha/coursera-deep-learning-specialization,NEW,Courses,2021-05-22 12:06:19,299.0,308.0,1.0,2020-06-24 05:59:01,2021-04-03 23:18:17,amanchadha/coursera-deep-learning-specialization,active,,2021-04-19 01:25:20.750834
causalML,https://github.com/altdeep/causalML,NEW,Courses,2021-05-20 09:09:27,412.0,120.0,32.0,2018-12-17 05:22:47,2021-04-15 20:37:28,altdeep/causalML,active,,2021-04-19 01:25:20.750834
PythonNumericalDemos,https://github.com/GeostatsGuy/PythonNumericalDemos,NEW,Courses,2021-05-18 15:56:39,254.0,195.0,1.0,2017-10-13 15:44:06,2021-05-18 14:43:22,GeostatsGuy/PythonNumericalDemos,active,,2021-04-19 01:25:20.750834
Basic Finance,https://github.com/SeanMcOwen/FinanceAndPython.com-BasicFinance,Source code notebooks basic finance applications.,Courses,2021-03-31 02:09:16,10.0,8.0,1.0,2017-05-06 02:39:05,2017-06-21 04:04:09,SeanMcOwen/FinanceAndPython.com-BasicFinance,inactive,,
Data-Science-Free,https://github.com/frontbenchHQ/Data-Science-Free,NEW,Courses,2021-05-17 07:22:05,237.0,163.0,4.0,2019-02-10 14:29:29,2020-07-13 06:36:25,frontbenchHQ/Data-Science-Free,active,,2021-04-19 01:25:20.750834
Basic Investments,https://github.com/SeanMcOwen/FinanceAndPython.com-Investments,Basic investment tools in python.,Courses,2021-03-23 06:32:10,9.0,5.0,1.0,2017-08-02 21:52:19,2017-08-17 03:24:53,SeanMcOwen/FinanceAndPython.com-Investments,inactive,,
Handson Python for Finance,https://github.com/PacktPublishing/Hands-on-Python-for-Finance,Hands-on Python for Finance published by Packt.,Courses,2021-05-20 11:14:12,127.0,111.0,3.0,2018-08-20 14:10:37,2021-01-15 08:57:06,PacktPublishing/Hands-on-Python-for-Finance,active,,
Risk Management,https://github.com/andrey-lukyanov/Risk-Management,Finance risk engagement course resources.,Courses,2021-04-20 08:29:36,8.0,5.0,3.0,2018-10-03 16:26:14,2018-12-13 08:04:15,andrey-lukyanov/Risk-Management,inactive,,
Basic Derivatives,https://github.com/SeanMcOwen/FinanceAndPython.com-Derivatives,Basic forward contracts and hedging.,Courses,2021-03-31 02:08:39,4.0,4.0,1.0,2017-08-24 00:11:37,2017-10-13 01:32:23,SeanMcOwen/FinanceAndPython.com-Derivatives,inactive,,
Algo Trading,https://github.com/JCreeks/Machine-Learning-in-Finance/tree/master/0_Intro_to_Algo_Trading,Intro to algo trading.,Courses,2021-05-17 01:37:14,65.0,25.0,1.0,2017-10-29 20:34:54,2019-01-22 06:56:08,JCreeks/Machine-Learning-in-Finance,inactive,,
Python for Finance,https://github.com/siaen/python_finance_course,CEU python for finance course material.,Courses,2021-04-28 18:10:55,17.0,15.0,4.0,2017-12-12 11:54:46,2020-02-25 20:31:41,siaen/python_finance_course,active,,
Octave,https://github.com/schneems/Octave,NEW,Courses,2021-05-22 18:15:26,780.0,496.0,1.0,2011-10-24 23:50:52,2016-07-08 20:45:40,schneems/Octave,inactive,,2021-04-19 01:25:20.750834
OptML_course,https://github.com/epfml/OptML_course,NEW,Courses,2021-05-22 06:48:14,446.0,150.0,10.0,2018-02-21 19:06:55,2021-05-18 21:59:13,epfml/OptML_course,active,,2021-04-19 01:25:20.750834
PyMLSlides,https://github.com/dmitriydligach/PyMLSlides,NEW,Courses,2021-05-17 22:17:10,278.0,118.0,0.0,2017-06-05 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,2021-05-01 17:06:45,230.0,295.0,1.0,2014-11-11 20:45:33,2014-11-12 13:42:32,rstudio/Intro,inactive,,2021-04-19 01:25:20.750834
python-seminar,https://github.com/profjsb/python-seminar,NEW,Courses,2021-02-07 14:03:41,302.0,145.0,11.0,2012-08-23 03:30:01,2020-04-30 20:43:47,profjsb/python-seminar,active,,2021-04-19 01:25:20.750834
Mathematical Finance,https://github.com/yadongli/nyumath2048,NYU Math-GA 2048: Scientific Computing in Finance.,Courses,2021-05-17 01:38:01,71.0,63.0,6.0,2015-01-25 21:10:37,2020-03-25 04:24:25,yadongli/nyumath2048,active,,
causalML,https://github.com/altdeep/causalML,NEW,Courses,2021-05-20 09:09:27,412.0,120.0,32.0,2018-12-17 05:22:47,2021-04-15 20:37:28,altdeep/causalML,active,,2021-04-19 01:25:20.750834
ML Specialisation,https://github.com/Ahmed0028/Machine-Learning-and-Reinforcement-Learning-in-Finance-Specialization,Machine Learning in Finance.,Courses,2021-04-05 13:37:33,34.0,33.0,1.0,2019-01-24 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,2021-05-22 17:06:28,4057.0,1349.0,8.0,2018-05-09 12:33:08,2021-05-13 02:30:47,stefan-jansen/machine-learning-for-trading,active,,
Mathematical Finance,https://github.com/yadongli/nyumath2048,NYU Math-GA 2048: Scientific Computing in Finance.,Courses,2021-05-17 01:38:01,71.0,63.0,6.0,2015-01-25 21:10:37,2020-03-25 04:24:25,yadongli/nyumath2048,active,,
python-seminar,https://github.com/profjsb/python-seminar,NEW,Courses,2021-02-07 14:03:41,302.0,145.0,11.0,2012-08-23 03:30:01,2020-04-30 20:43:47,profjsb/python-seminar,active,,2021-04-19 01:25:20.750834
Intro,https://github.com/rstudio/Intro,NEW,Courses,2021-05-01 17:06:45,230.0,295.0,1.0,2014-11-11 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,2021-05-17 22:17:10,278.0,118.0,0.0,2017-06-05 13:59:15,2020-10-06 21:34:43,dmitriydligach/PyMLSlides,active,,2021-04-19 01:25:20.750834
OptML_course,https://github.com/epfml/OptML_course,NEW,Courses,2021-05-22 06:48:14,446.0,150.0,10.0,2018-02-21 19:06:55,2021-05-18 21:59:13,epfml/OptML_course,active,,2021-04-19 01:25:20.750834
Octave,https://github.com/schneems/Octave,NEW,Courses,2021-05-22 18:15:26,780.0,496.0,1.0,2011-10-24 23:50:52,2016-07-08 20:45:40,schneems/Octave,inactive,,2021-04-19 01:25:20.750834
course-resources-ml-with-experts-budgets,https://github.com/datacamp/course-resources-ml-with-experts-budgets,NEW,Courses,2021-05-21 16:19:19,461.0,582.0,2.0,2017-03-02 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-coursera,https://github.com/yhyap/machine-learning-coursera,NEW,Courses,2020-09-27 02:25:20,231.0,196.0,1.0,2013-05-03 09:41:53,2013-05-05 11:58:38,yhyap/machine-learning-coursera,inactive,,2021-04-19 01:25:20.750834
DataScienceSpCourseNotes,https://github.com/sux13/DataScienceSpCourseNotes,NEW,Courses,2021-05-18 18:12:13,707.0,2405.0,10.0,2015-03-09 00:51:32,2016-02-16 06:12:54,sux13/DataScienceSpCourseNotes,inactive,,2021-04-19 01:25:20.750834
DAT3,https://github.com/justmarkham/DAT3,NEW,Courses,2021-05-12 18:15:37,623.0,371.0,4.0,2014-09-18 20:30:19,2020-05-19 09:21:02,justmarkham/DAT3,active,,2021-04-19 01:25:20.750834
Stanford-Machine-Learning-Course,https://github.com/zhouxc/Stanford-Machine-Learning-Course,NEW,Courses,2021-05-14 04:03:06,512.0,364.0,1.0,2011-12-25 10:00:48,2011-12-25 10:01:12,zhouxc/Stanford-Machine-Learning-Course,inactive,,2021-04-19 01:25:20.750834
ML_course,https://github.com/epfml/ML_course,NEW,Courses,2021-05-22 06:48:06,651.0,512.0,29.0,2016-07-13 15:37:38,2021-01-31 23:50:35,epfml/ML_course,active,,2021-04-19 01:25:20.750834
machine-learning-resources,https://github.com/datascienceid/machine-learning-resources,NEW,Courses,2021-05-11 03:38:34,239.0,89.0,4.0,2018-04-09 15:10:08,2019-07-30 14:25:27,datascienceid/machine-learning-resources,active,,2021-04-19 01:25:20.750834
machine-learning-programming-assignments-coursera-andrew-ng,https://github.com/AvaisP/machine-learning-programming-assignments-coursera-andrew-ng,NEW,Courses,2021-05-19 06:25:13,374.0,331.0,1.0,2016-08-20 18:05:22,2016-09-05 19:14:41,AvaisP/machine-learning-programming-assignments-coursera-andrew-ng,inactive,,2021-04-19 01:25:20.750834
Machine-Learning-by-Andrew-Ng-in-Python,https://github.com/Benlau93/Machine-Learning-by-Andrew-Ng-in-Python,NEW,Courses,2021-05-20 06:06:39,244.0,202.0,1.0,2018-12-06 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,2021-04-24 16:56:41,330.0,135.0,1.0,2016-03-09 07:35:19,2017-03-31 21:46:26,diefimov/MTH594_MachineLearning,inactive,,2021-04-19 01:25:20.750834
Artificial-Intelligence-and-Machine-Learning,https://github.com/emilmont/Artificial-Intelligence-and-Machine-Learning,NEW,Courses,2021-05-04 13:09:47,515.0,301.0,1.0,2011-10-16 22:51:06,2013-07-20 18:21:51,emilmont/Artificial-Intelligence-and-Machine-Learning,inactive,,2021-04-19 01:25:20.750834
stat479-machine-learning-fs18,https://github.com/rasbt/stat479-machine-learning-fs18,NEW,Courses,2021-05-22 16:10:13,421.0,207.0,1.0,2018-09-06 00:30:56,2018-12-20 23:45:13,rasbt/stat479-machine-learning-fs18,inactive,,2021-04-19 01:25:20.750834
zero-to-mastery-ml,https://github.com/mrdbourke/zero-to-mastery-ml,NEW,Courses,2021-05-22 17:20:48,730.0,1266.0,14.0,2019-09-23 04:56:51,2021-04-13 06:55:10,mrdbourke/zero-to-mastery-ml,active,,2021-04-19 01:25:20.750834
stat479-machine-learning-fs19,https://github.com/rasbt/stat479-machine-learning-fs19,NEW,Courses,2021-04-25 05:26:18,650.0,223.0,1.0,2019-08-07 07:36:20,2020-11-28 00:04:07,rasbt/stat479-machine-learning-fs19,active,,2021-04-19 01:25:20.750834
ml-mipt,https://github.com/girafe-ai/ml-mipt,NEW,Courses,2021-05-21 13:34:05,527.0,379.0,7.0,2019-02-01 16:20:39,2020-11-04 10:56:04,girafe-ai/ml-mipt,active,,2021-04-19 01:25:20.750834
DAT4,https://github.com/justmarkham/DAT4,NEW,Courses,2021-05-18 16:23:43,749.0,652.0,3.0,2014-12-10 19:38:29,2021-02-15 23:26:27,justmarkham/DAT4,active,,2021-04-19 01:25:20.750834
ppd599,https://github.com/gboeing/ppd599,NEW,Courses,2021-05-20 03:49:45,1078.0,456.0,1.0,2015-09-01 19:59:59,2021-05-12 00:29:25,gboeing/ppd599,active,,2021-04-19 01:25:20.750834
mlcourse,https://github.com/davidrosenberg/mlcourse,NEW,Courses,2021-05-11 18:35:53,404.0,219.0,9.0,2015-10-11 22:18:25,2021-03-14 01:19:08,davidrosenberg/mlcourse,active,,2021-04-19 01:25:20.750834
Play-with-Machine-Learning-Algorithms,https://github.com/liuyubobobo/Play-with-Machine-Learning-Algorithms,NEW,Courses,2021-05-22 19:33:49,1054.0,565.0,1.0,2017-10-17 23:13:24,2020-11-10 08:26:50,liuyubobobo/Play-with-Machine-Learning-Algorithms,active,,2021-04-19 01:25:20.750834
Introduction-to-Machine-Learning,https://github.com/codeheroku/Introduction-to-Machine-Learning,NEW,Courses,2021-05-22 15:20:09,285.0,760.0,3.0,2019-02-09 12:07:52,2020-11-28 08:44:08,codeheroku/Introduction-to-Machine-Learning,active,,2021-04-19 01:25:20.750834
awesome-ml-courses,https://github.com/luspr/awesome-ml-courses,NEW,Courses,2021-05-21 15:37:44,1997.0,218.0,4.0,2020-05-08 20:41:59,2021-02-18 20:26:31,luspr/awesome-ml-courses,active,,2021-04-19 01:25:20.750834
machine-learning-notebooks,https://github.com/krasserm/machine-learning-notebooks,NEW,Courses,2021-05-20 07:45:13,296.0,126.0,1.0,2017-07-24 10:21:05,2020-09-07 12:48:43,krasserm/machine-learning-notebooks,active,,2021-04-19 01:25:20.750834
Coursera-Stanford-ML-Python,https://github.com/mstampfer/Coursera-Stanford-ML-Python,NEW,Courses,2021-05-22 01:42:57,405.0,232.0,3.0,2015-10-28 19:51:00,2016-09-02 00:21:30,mstampfer/Coursera-Stanford-ML-Python,inactive,,2021-04-19 01:25:20.750834
2014,https://github.com/cs109/2014,NEW,Courses,2021-05-17 01:31:57,309.0,766.0,4.0,2014-07-21 22:46:20,2014-12-17 14:37:02,cs109/2014,inactive,,2021-04-19 01:25:20.750834
DP100,https://github.com/MicrosoftLearning/DP100,NEW,Courses,2021-05-20 06:20:52,496.0,507.0,2.0,2020-01-06 20:38:41,2020-12-30 17:22:42,MicrosoftLearning/DP100,active,,2021-04-19 01:25:20.750834
JSE_OkCupid,https://github.com/rudeboybert/JSE_OkCupid,NEW,Courses,2021-05-05 12:52:23,210.0,62.0,1.0,2015-03-28 08:38:27,2021-04-26 18:35:26,rudeboybert/JSE_OkCupid,active,,2021-04-19 01:25:20.750834
master,https://github.com/ML-course/master,NEW,Courses,2021-05-23 00:39:39,331.0,173.0,11.0,2017-02-04 22:44:35,2021-04-23 22:36:34,ML-course/master,active,,2021-04-19 01:25:20.750834
mlcourse.ai,https://github.com/Yorko/mlcourse.ai,NEW,Courses,2021-05-22 20:33:42,7646.0,5046.0,190.0,2017-02-27 08:32:20,2021-05-07 10:22:21,Yorko/mlcourse.ai,active,,2021-04-19 01:25:20.750834
MachineLearningWithPython,https://github.com/JerryKurata/MachineLearningWithPython,NEW,Courses,2021-05-19 02:17:44,230.0,343.0,1.0,2016-04-24 21:20:10,2021-04-15 18:17:30,JerryKurata/MachineLearningWithPython,active,,2021-04-19 01:25:20.750834
ml-course-msu,https://github.com/esokolov/ml-course-msu,NEW,Courses,2021-04-28 20:04:03,764.0,303.0,1.0,2015-09-11 08:51:24,2018-05-07 15:40:56,esokolov/ml-course-msu,inactive,,2021-04-19 01:25:20.750834
DAT7,https://github.com/justmarkham/DAT7,NEW,Courses,2021-05-16 08:51:39,226.0,198.0,1.0,2015-05-16 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,2021-05-22 16:20:09,779.0,218.0,2.0,2015-08-12 19:26:00,2017-01-20 16:24:19,hal3/ciml,inactive,,2021-04-19 01:25:20.750834
dive-into-machine-learning,https://github.com/hangtwenty/dive-into-machine-learning,NEW,Courses,2021-05-22 21:07:58,10525.0,1937.0,30.0,2015-02-22 23:48:16,2021-03-15 05:34:55,hangtwenty/dive-into-machine-learning,active,,2021-04-19 01:25:20.750834
deploying-machine-learning-models,https://github.com/trainindata/deploying-machine-learning-models,NEW,Courses,2021-05-19 19:21:16,303.0,2766.0,2.0,2019-01-09 20:30:46,2021-05-17 18:08:53,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,2021-05-22 05:46:59,258.0,487.0,3.0,2018-07-18 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,2021-05-20 06:15:25,2402.0,838.0,11.0,2018-05-09 18:33:40,2020-06-03 21:08:32,GoogleCloudPlatform/tensorflow-without-a-phd,active,,2021-04-19 01:25:20.750834
Udemy---Machine-Learning,https://github.com/jmportilla/Udemy---Machine-Learning,NEW,Courses,2021-03-31 17:57:54,206.0,407.0,3.0,2015-04-27 22:44:40,2016-07-06 23:58:33,jmportilla/Udemy---Machine-Learning,inactive,,2021-04-19 01:25:20.750834
machine-learning-coursera-1,https://github.com/Borye/machine-learning-coursera-1,NEW,Courses,2021-05-18 23:57:27,1104.0,938.0,1.0,2014-08-28 10:48:18,2014-06-17 10:37:27,Borye/machine-learning-coursera-1,inactive,,2021-04-19 01:25:20.750834
machine-learning-course,https://github.com/instillai/machine-learning-course,NEW,Courses,2021-05-22 15:45:05,6657.0,1220.0,9.0,2019-02-15 00:23:19,2020-04-21 03:19:12,instillai/machine-learning-course,active,,2021-04-19 01:25:20.750834
Financial Corporate,http://raw.rutgers.edu/Corporate%20Financial%20Data.html,,Data,,,,,,,,,,
Capital Markets Data,https://www.capitalmarketsdata.com/,,Data,,,,,,,,,,
Open Edgar,https://github.com/LexPredict/openedgar,,Data,2021-05-21 18:47:54,179.0,62.0,6.0,2018-05-07 15:32:31,2019-05-15 08:32:30,LexPredict/openedgar,inactive,,
SEC Parsing,https://github.com/healthgradient/sec-doc-info-extraction/blob/master/classify_sections_containing_relevant_information.ipynb,,Data,2021-02-27 06:34:55,9.0,6.0,1.0,2018-06-16 14:30:06,2018-06-16 17:23:46,healthgradient/sec-doc-info-extraction,inactive,,
Employee Count SEC Filings,https://github.com/healthgradient/sec_employee_information_extraction,,Data,2021-04-18 03:25:43,11.0,2.0,1.0,2018-06-26 23:33:51,2018-08-14 01:31:13,healthgradient/sec_employee_information_extraction,inactive,,
EDGAR,https://github.com/TiesdeKok/UW_Python_Camp/blob/master/Materials/Session_5/EDGAR_walkthrough.ipynb,,Data,2021-04-29 12:51:47,12.0,11.0,1.0,2018-06-11 22:51:57,2018-07-10 18:03:52,TiesdeKok/UW_Python_Camp,inactive,,
IRS,http://social-metrics.org/sox/,,Data,,,,,,,,,,
http://finance.yahoo.com/,http://finance.yahoo.com/,,Data,,,,,,,,,,
Non-financial Corporate,http://raw.rutgers.edu/Non-Financial%20Corporate%20Data.html,,Data,,,,,,,,,,
https://fred.stlouisfed.org/,https://fred.stlouisfed.org/,,Data,,,,,,,,,,
Rating Industries,http://www.ratingshistory.info/,,Data,,,,,,,,,,
Web Scraping (FirmAI),https://github.com/firmai/business-machine-learning/blob/master/www.firmai.org/data,,Data,2021-05-19 12:47:12,583.0,185.0,2.0,2019-02-19 19:02:59,2020-07-22 16:48:21,firmai/business-machine-learning,active,,
https://stooq.com,https://stooq.com,,Data,,,,,,,,,,
Algo Trading,https://github.com/JCreeks/Machine-Learning-in-Finance/tree/master/0_Intro_to_Algo_Trading,Intro to algo trading.,Courses,2021-05-17 01:37:14,65.0,25.0,1.0,2017-10-29 20:34:54,2019-01-22 06:56:08,JCreeks/Machine-Learning-in-Finance,inactive,,
Basic Derivatives,https://github.com/SeanMcOwen/FinanceAndPython.com-Derivatives,Basic forward contracts and hedging.,Courses,2021-03-31 02:08:39,4.0,4.0,1.0,2017-08-24 00:11:37,2017-10-13 01:32:23,SeanMcOwen/FinanceAndPython.com-Derivatives,inactive,,
Risk Management,https://github.com/andrey-lukyanov/Risk-Management,Finance risk engagement course resources.,Courses,2021-04-20 08:29:36,8.0,5.0,3.0,2018-10-03 16:26:14,2018-12-13 08:04:15,andrey-lukyanov/Risk-Management,inactive,,
Handson Python for Finance,https://github.com/PacktPublishing/Hands-on-Python-for-Finance,Hands-on Python for Finance published by Packt.,Courses,2021-05-20 11:14:12,127.0,111.0,3.0,2018-08-20 14:10:37,2021-01-15 08:57:06,PacktPublishing/Hands-on-Python-for-Finance,active,,
Basic Investments,https://github.com/SeanMcOwen/FinanceAndPython.com-Investments,Basic investment tools in python.,Courses,2021-03-23 06:32:10,9.0,5.0,1.0,2017-08-02 21:52:19,2017-08-17 03:24:53,SeanMcOwen/FinanceAndPython.com-Investments,inactive,,
Data-Science-Free,https://github.com/frontbenchHQ/Data-Science-Free,NEW,Courses,2021-05-17 07:22:05,237.0,163.0,4.0,2019-02-10 14:29:29,2020-07-13 06:36:25,frontbenchHQ/Data-Science-Free,active,,2021-04-19 01:25:20.750834
Python for Finance,https://github.com/siaen/python_finance_course,CEU python for finance course material.,Courses,2021-04-28 18:10:55,17.0,15.0,4.0,2017-12-12 11:54:46,2020-02-25 20:31:41,siaen/python_finance_course,active,,
https://github.com/timestocome/StockMarketData,https://github.com/timestocome/StockMarketData,,Data,2021-05-12 12:24:53,7.0,5.0,1.0,2017-05-10 21:49:45,2017-08-06 19:23:18,timestocome/StockMarketData,inactive,,
finserv-application-blueprint,https://github.com/mapr-demos/finserv-application-blueprint,generate streamable data using mapr converged data platfrom built mostly in java. Uses apache [zepplin](https://zeppelin.apache.org/) for web visualization ,Data Processing Techniques and Transformations,2021-01-21 00:29:14,72.0,53.0,5.0,2016-09-26 19:42:54,2021-01-20 23:07:40,mapr-demos/finserv-application-blueprint,active,2.0,12:49.2
Advanced ML,https://github.com/BlackArbsCEO/Adv_Fin_ML_Exercises,Exercises to book [advances in financial machine learning](https://www.wiley.com/en-us/Advances+in+Financial+Machine+Learning-p-9781119482109). Relevant topics include data cleaning and outlier detection (using MAD),Data Processing Techniques and Transformations,2021-05-22 10:51:30,1016.0,446.0,4.0,2018-04-25 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,2021-05-14 22:58:07,70.0,21.0,1.0,2017-05-22 17:07:45,2017-05-23 08:06:27,Medha11/Twitter-Trends,inactive,3.0,12:49.2
CryptoNets,https://github.com/microsoft/CryptoNets,CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with [Homomorphic Encryption](https://www.cs.cmu.edu/~odonnell/hits09/gentry-homomorphic-encryption.pdf). Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted.,Data Processing Techniques and Transformations,2021-05-19 22:37:55,158.0,43.0,4.0,2019-06-02 05:48:39,2019-09-12 13:03:05,microsoft/CryptoNets,active,2.0,12:49.2
Non-financial Corporate,http://raw.rutgers.edu/Non-Financial%20Corporate%20Data.html,,Data,,,,,,,,,,
https://stooq.com,https://stooq.com,,Data,,,,,,,,,,
Web Scraping (FirmAI),https://github.com/firmai/business-machine-learning/blob/master/www.firmai.org/data,,Data,2021-05-19 12:47:12,583.0,185.0,2.0,2019-02-19 19:02:59,2020-07-22 16:48:21,firmai/business-machine-learning,active,,
Rating Industries,http://www.ratingshistory.info/,,Data,,,,,,,,,,
https://fred.stlouisfed.org/,https://fred.stlouisfed.org/,,Data,,,,,,,,,,
http://finance.yahoo.com/,http://finance.yahoo.com/,,Data,,,,,,,,,,
SEC Parsing,https://github.com/healthgradient/sec-doc-info-extraction/blob/master/classify_sections_containing_relevant_information.ipynb,,Data,2021-02-27 06:34:55,9.0,6.0,1.0,2018-06-16 14:30:06,2018-06-16 17:23:46,healthgradient/sec-doc-info-extraction,inactive,,
EDGAR,https://github.com/TiesdeKok/UW_Python_Camp/blob/master/Materials/Session_5/EDGAR_walkthrough.ipynb,,Data,2021-04-29 12:51:47,12.0,11.0,1.0,2018-06-11 22:51:57,2018-07-10 18:03:52,TiesdeKok/UW_Python_Camp,inactive,,
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,,
Open Edgar,https://github.com/LexPredict/openedgar,,Data,2021-05-21 18:47:54,179.0,62.0,6.0,2018-05-07 15:32:31,2019-05-15 08:32:30,LexPredict/openedgar,inactive,,
Capital Markets Data,https://www.capitalmarketsdata.com/,,Data,,,,,,,,,,
Financial Corporate,http://raw.rutgers.edu/Corporate%20Financial%20Data.html,,Data,,,,,,,,,,
IRS,http://social-metrics.org/sox/,,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,2021-05-19 17:05:53,350.0,141.0,9.0,2014-06-01 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,2021-05-19 22:37:55,158.0,43.0,4.0,2019-06-02 05:48:39,2019-09-12 13:03:05,microsoft/CryptoNets,active,2.0,12:49.2
Google-Finance-Stock-Data-Analysis,https://github.com/hpnhxxwn/Google-Finance-Stock-Data-Analysis,data processing platform which stream data from kafka. The example shows two incoming data stream stock vs tweets and two spark streams are created to consume the kafka data then end results are stored in cassandra. Older tech stacks were used and not actively maintained.,Data Processing Techniques and Transformations,2021-04-24 12:13:48,71.0,10.0,1.0,2017-07-23 02:59:59,2017-07-23 03:10:35,hpnhxxwn/Google-Finance-Stock-Data-Analysis,inactive,3.0,12:49.2
Advanced ML,https://github.com/BlackArbsCEO/Adv_Fin_ML_Exercises,Exercises to book [advances in financial machine learning](https://www.wiley.com/en-us/Advances+in+Financial+Machine+Learning-p-9781119482109). Relevant topics include data cleaning and outlier detection (using MAD),Data Processing Techniques and Transformations,2021-05-22 10:51:30,1016.0,446.0,4.0,2018-04-25 17:22:40,2020-01-16 17:25:41,BlackArbsCEO/Adv_Fin_ML_Exercises,active,4.0,
finserv-application-blueprint,https://github.com/mapr-demos/finserv-application-blueprint,generate streamable data using mapr converged data platfrom built mostly in java. Uses apache [zepplin](https://zeppelin.apache.org/) for web visualization ,Data Processing Techniques and Transformations,2021-01-21 00:29:14,72.0,53.0,5.0,2016-09-26 19:42:54,2021-01-20 23:07:40,mapr-demos/finserv-application-blueprint,active,2.0,12:49.2
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,2021-05-14 22:58:07,70.0,21.0,1.0,2017-05-22 17:07:45,2017-05-23 08:06:27,Medha11/Twitter-Trends,inactive,3.0,12:49.2
pairstrade-fyp-2019,https://github.com/wywongbd/pairstrade-fyp-2019,NEW,Deep Learning And Reinforcement Learning,2021-05-12 00:28:30,115.0,42.0,2.0,2018-09-07 07:51:06,2020-05-13 05:06:51,wywongbd/pairstrade-fyp-2019,active,,39:11.1
Deep Learning III,https://github.com/Rachnog/Deep-Trading,Algorithmic trading with deep learning experiments.,Deep Learning And Reinforcement Learning,2021-05-20 21:38:04,1273.0,682.0,1.0,2016-06-18 18:23:06,2018-08-07 15:24:45,Rachnog/Deep-Trading,inactive,5.0,
Deep-Reinforcement-Learning-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,2021-05-22 12:17:38,145.0,71.0,1.0,2018-05-11 00:52:14,2019-10-26 14:22:44,saeed349/Deep-Reinforcement-Learning-in-Trading,active,3.0,3/31/21 8:00
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,2021-05-22 19:44:04,2064.0,521.0,22.0,2020-07-26 13:18:16,2021-05-05 14:56:35,AI4Finance-LLC/FinRL,active,5.0,3/31/21 8:00
DQN-DDPG_Stock_Trading,https://github.com/AI4Finance-LLC/DQN-DDPG_Stock_Trading,merged into FinRL library and uses [gym](https://gym.openai.com/) and implementation of DQN,Deep Learning And Reinforcement Learning,2021-05-20 11:56:53,142.0,54.0,4.0,2018-09-19 03:17:06,2020-11-26 16:58:00,AI4Finance-LLC/DQN-DDPG_Stock_Trading,active,3.0,3/31/21 8:00
LTSM GRU,https://github.com/RajatHanda/Finance-Forecasting,Stock Market Forecasting using LSTM\GRU.,Deep Learning And Reinforcement Learning,2021-03-29 23:59:32,11.0,6.0,1.0,2018-05-13 02:39:32,2019-02-25 00:26:42,RajatHanda/Finance-Forecasting,inactive,3.0,
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,2021-05-20 21:52:03,302.0,108.0,1.0,2018-09-29 23:38:06,2021-05-18 02:58:12,LastAncientOne/Deep-Learning-Machine-Learning-Stock,active,3.0,3/31/21 8:00
RLQuant,https://github.com/yuriak/RLQuant,NEW,Deep Learning And Reinforcement Learning,2021-05-11 19:40:02,277.0,94.0,1.0,2018-04-05 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,2021-05-19 03:36:13,246.0,116.0,1.0,2017-05-18 16:47:11,2017-05-18 16:56:38,shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading,inactive,3.0,
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,2021-05-22 09:34:45,369.0,115.0,1.0,2018-06-21 01:06:01,2020-11-05 11:08:19,sadighian/crypto-rl,active,3.0,3/31/21 8:00
AutomatedStockTrading-DeepQ-Learning,https://github.com/sachink2010/AutomatedStockTrading-DeepQ-Learning,cornerstone project repo for Udacity nanodegree program [Become a machine learning engineer](https://www.udacity.com/course/machine-learning-engineer-nanodegree--nd009t) and focus on trading using deep q learning. Good explanation on design choices in the report,Deep Learning And Reinforcement Learning,2021-04-22 07:42:30,134.0,53.0,2.0,2019-02-23 12:01:21,2020-02-25 18:16:34,sachink2010/AutomatedStockTrading-DeepQ-Learning,active,3.0,3/31/21 8:00
Trading-Gym,https://github.com/thedimlebowski/Trading-Gym,NEW,Deep Learning And Reinforcement Learning,2021-05-15 23:25:58,509.0,147.0,3.0,2017-06-13 13:14:48,2017-07-10 08:09:30,thedimlebowski/Trading-Gym,inactive,,39:11.1
rl_trading,https://github.com/ucaiado/rl_trading,NEW,Deep Learning And Reinforcement Learning,2021-05-13 17:59:54,213.0,89.0,1.0,2017-05-29 22:19:00,2017-08-29 14:54:50,ucaiado/rl_trading,inactive,,39:11.1
AI Trading,https://github.com/borisbanushev/stockpredictionai/blob/master/readme2.md,AI to predict stock market movements.,Deep Learning And Reinforcement Learning,2021-05-22 21:52:02,2941.0,1411.0,1.0,2019-01-09 08:02:47,2019-02-11 16:32:47,borisbanushev/stockpredictionai,inactive,5.0,
deep-RL-trading,https://github.com/golsun/deep-RL-trading,trading game comparing RNN vs CNN vs MLP based on [paper](https://arxiv.org/abs/1803.03916),Deep Learning And Reinforcement Learning,2021-05-22 18:04:27,245.0,110.0,1.0,2018-02-25 17:41:42,2020-12-01 22:06:39,golsun/deep-RL-trading,active,3.0,3/31/21 8:00
TradingGym,https://github.com/cove9988/TradingGym,NEW,Deep Learning And Reinforcement Learning,2021-05-17 02:51:50,113.0,39.0,3.0,2017-11-06 00:50:01,2017-11-15 23:55:32,cove9988/TradingGym,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,2021-05-18 17:50:13,300.0,131.0,3.0,2017-03-10 10:52:02,2018-06-11 08:07:02,PiSimo/BitcoinForecast,inactive,3.0,3/31/21 8:00
QLearning_Trading,https://github.com/ucaiado/QLearning_Trading,NEW,Deep Learning And Reinforcement Learning,2021-05-18 13:41:49,439.0,170.0,1.0,2016-08-10 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,2021-05-11 15:56:21,315.0,99.0,1.0,2018-06-04 15:30:16,2020-05-23 14:47:54,evgps/a3c_trading,active,,39:11.1
Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020,https://github.com/AI4Finance-LLC/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020,Part of FinRL and provided code for paper [deep reinformacement learning for automated stock trading](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3690996) focuses on ensemble.,Deep Learning And Reinforcement Learning,2021-05-22 02:21:14,629.0,277.0,6.0,2020-07-26 13:12:53,2021-01-21 18:11:59,AI4Finance-LLC/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020,active,4.0,3/31/21 8:00
RL Trading,https://colab.research.google.com/drive/1FzLCI0AO3c7A4bp9Fi01UwXeoc7BN8sW,A collection of 25+ Reinforcement Learning Trading Strategies -Google Colab.,Deep Learning And Reinforcement Learning,,,,,,,,,4.0,
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,2021-05-11 08:29:30,265.0,146.0,1.0,2017-08-21 16:00:42,2017-08-21 17:23:48,sonaam1234/DeepLearningInFinance,inactive,3.0,3/31/21 8:00
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,2021-05-22 15:32:29,611.0,148.0,1.0,2018-11-26 03:23:04,2021-01-01 09:41:21,cbailes/awesome-deep-trading,active,4.0,3/31/21 8:00
trading-bot,https://github.com/pskrunner14/trading-bot,Implementation of deep reinforcement learning using Deep Q Network (DQN). Only supports single security at the moment. Idea is roughly based [here](https://keon.github.io/deep-q-learning/) and uses tensorflow/keras. Interesting helper python libraries used here are [tqdm](https://tqdm.github.io/) for console based progress bar and [altair](https://altair-viz.github.io/) for declarative visualization in python ,Deep Learning And Reinforcement Learning,2021-05-10 16:43:24,309.0,158.0,1.0,2018-08-13 10:44:08,2020-01-23 04:41:20,pskrunner14/trading-bot,active,3.0,3/31/21 8:00
LTSM Recurrent,https://github.com/VivekPa/AIAlpha,OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network.,Deep Learning And Reinforcement Learning,2021-05-21 22:59:03,1229.0,375.0,2.0,2018-10-07 03:58:26,2019-08-03 09:00:44,VivekPa/AIAlpha,active,4.0,
TradingGym,https://github.com/Yvictor/TradingGym,NEW,Deep Learning And Reinforcement Learning,2021-05-21 12:00:29,861.0,241.0,2.0,2017-05-01 13:53:32,2018-02-14 13:58:18,Yvictor/TradingGym,inactive,,39:11.1
Deep Learning IV,https://github.com/achillesrasquinha/bulbea,Bulbea: Deep Learning based Python Library.,Deep Learning And Reinforcement Learning,2021-05-22 18:59:47,1490.0,419.0,1.0,2017-03-09 06:11:06,2017-03-19 07:42:49,achillesrasquinha/bulbea,inactive,5.0,
maro,https://github.com/microsoft/maro,NEW,Deep Learning And Reinforcement Learning,2021-05-23 00:04:22,418.0,74.0,18.0,2019-12-27 06:48:27,2021-05-17 06:58:43,microsoft/maro,active,,39:11.1
RL,https://github.com/kh-kim/stock_market_reinforcement_learning,OpenGym with Deep Q-learning and Policy Gradient.,Deep Learning And Reinforcement Learning,2021-05-19 03:34:31,719.0,301.0,1.0,2016-10-04 14:42:19,2016-12-23 07:34:08,kh-kim/stock_market_reinforcement_learning,inactive,2.0,
gym-trading,https://github.com/hackthemarket/gym-trading,NEW,Deep Learning And Reinforcement Learning,2021-05-09 12:09:21,589.0,197.0,2.0,2016-12-09 20:46:19,2017-12-24 15:34:37,hackthemarket/gym-trading,inactive,,39:11.1
RL III,https://github.com/samre12/deep-trading-agent,Github -Deep Reinforcement Learning based Trading Agent for Bitcoin.,Deep Learning And Reinforcement Learning,2021-05-22 23:44:36,583.0,204.0,1.0,2017-09-21 17:05:19,2018-04-13 16:33:21,samre12/deep-trading-agent,inactive,3.0,
RLTrader,https://github.com/notadamking/RLTrader,predecessor to [tensortrade](https://github.com/tensortrade-org/tensortrade) uses open api [gym](https://gym.openai.com/) and neat way to render matplotlib plots in real time. Also explains LSTM/data stationarity/Bayesian optimization using [Optuna](https://github.com/optuna/optuna) etc.,Deep Learning And Reinforcement Learning,2021-05-18 11:42:10,1343.0,467.0,15.0,2019-04-27 18:35:15,2019-10-17 16:25:49,notadamking/RLTrader,active,5.0,3/31/21 8:00
Neural Network,https://github.com/VivekPa/IntroNeuralNetworks,Neural networks to predict stock prices.,Deep Learning And Reinforcement Learning,2021-05-18 09:19:24,508.0,179.0,2.0,2018-09-10 06:34:53,2018-11-21 07:39:31,VivekPa/IntroNeuralNetworks,inactive,4.0,
@@ -122,52 +148,46 @@ RL V,https://github.com/gstenger98/rl-finance,Building an Agent to Trade with Re
Pair-Trading-Reinforcement-Learning,https://github.com/wai-i/Pair-Trading-Reinforcement-Learning,NEW,Deep Learning And Reinforcement Learning,2021-05-16 12:25:33,141.0,58.0,1.0,2019-06-09 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,2021-04-11 04:12:38,222.0,87.0,1.0,2018-08-05 02:13:21,2018-10-01 11:25:53,imhgchoi/ARIMA-LSTM-hybrid-corrcoef-predict,inactive,3.0,
RL IV,https://github.com/jjakimoto/DQN,Reinforcement Learning for finance.,Deep Learning And Reinforcement Learning,2021-04-05 11:42:45,142.0,55.0,1.0,2016-10-21 02:47:17,2017-04-07 08:11:57,jjakimoto/DQN,inactive,,
LTSM Recurrent,https://github.com/VivekPa/AIAlpha,OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network.,Deep Learning And Reinforcement Learning,2021-05-21 22:59:03,1229.0,375.0,2.0,2018-10-07 03:58:26,2019-08-03 09:00:44,VivekPa/AIAlpha,active,4.0,
gym-trading,https://github.com/hackthemarket/gym-trading,NEW,Deep Learning And Reinforcement Learning,2021-05-09 12:09:21,589.0,197.0,2.0,2016-12-09 20:46:19,2017-12-24 15:34:37,hackthemarket/gym-trading,inactive,,39:11.1
trading-rl,https://github.com/Kostis-S-Z/trading-rl,Deep reinforcement learning for financial trading using [gym](https://gym.openai.com/) and [keras-rl](https://github.com/keras-rl/keras-rl) on FX dataset (EURUSD) not actively maintained,Deep Learning And Reinforcement Learning,2021-04-13 09:54:54,181.0,38.0,2.0,2019-04-22 10:03:21,2020-09-28 09:07:18,Kostis-S-Z/trading-rl,active,3.0,3/31/21 8:00
tensortrade,https://github.com/tensortrade-org/tensortrade,NEW,Deep Learning And Reinforcement Learning,2021-05-22 16:43:45,3216.0,747.0,41.0,2019-07-30 21:28:32,2021-05-21 06:09:22,tensortrade-org/tensortrade,active,,39:11.1
RL II,https://github.com/deependersingla/deep_trader,reinforcement learning on stock market and agent tries to learn trading.,Deep Learning And Reinforcement Learning,2021-05-22 12:17:18,1345.0,490.0,3.0,2016-06-11 07:27:10,2018-01-22 14:35:50,deependersingla/deep_trader,inactive,3.0,
Deep-Reinforcement-Stock-Trading,https://github.com/Albert-Z-Guo/Deep-Reinforcement-Stock-Trading,inspired by Q-trader a deep reinforcement learning repo for trading. Only 3 actions allowed (buy/hold/sell) and no transaction cost is implemented yet. Uses [empyrical](https://github.com/quantopian/empyrical) for portfolio stats,Deep Learning And Reinforcement Learning,2021-05-21 09:55:43,151.0,45.0,2.0,2019-05-19 22:20:05,2020-09-27 19:22:28,Albert-Z-Guo/Deep-Reinforcement-Stock-Trading,active,3.0,3/31/21 8:00
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,2021-05-22 18:02:30,3887.0,1614.0,2.0,2017-12-18 10:49:59,2021-01-05 10:31:50,huseinzol05/Stock-Prediction-Models,active,5.0,3/31/21 8:00
Machine-Learning-and-Reinforcement-Learning-in-Finance,https://github.com/joelowj/Machine-Learning-and-Reinforcement-Learning-in-Finance,NEW,Deep Learning And Reinforcement Learning,2021-05-21 15:31:54,179.0,97.0,1.0,2018-06-26 04:30:08,2018-09-23 16:50:33,joelowj/Machine-Learning-and-Reinforcement-Learning-in-Finance,inactive,,39:11.1
Deep Learning,https://github.com/keon/deepstock,Technical experimentations to beat the stock market using deep learning.,Deep Learning And Reinforcement Learning,2021-05-02 20:44:37,427.0,154.0,2.0,2016-12-12 02:15:12,2017-03-04 08:37:29,keon/deepstock,inactive,4.0,
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,2021-05-21 12:44:28,327.0,161.0,2.0,2019-02-16 21:18:00,2020-11-29 20:12:59,Rachnog/Advanced-Deep-Trading,active,3.0,3/31/21 8:00
FinRL,https://github.com/AI4Finance-LLC/FinRL,NEW,Deep Learning And Reinforcement Learning,2021-05-22 19:44:04,2064.0,521.0,22.0,2020-07-26 13:18:16,2021-05-05 14:56:35,AI4Finance-LLC/FinRL,active,,13:03.7
Deep Learning II,https://github.com/LiamConnell/deep-algotrading/tree/master/notebooks,Tensorflow Regression.,Deep Learning And Reinforcement Learning,2021-05-17 11:55:44,178.0,68.0,1.0,2016-07-12 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,2021-05-21 12:00:29,861.0,241.0,2.0,2017-05-01 13:53:32,2018-02-14 13:58:18,Yvictor/TradingGym,inactive,,39:11.1
Deep Learning IV,https://github.com/achillesrasquinha/bulbea,Bulbea: Deep Learning based Python Library.,Deep Learning And Reinforcement Learning,2021-05-22 18:59:47,1490.0,419.0,1.0,2017-03-09 06:11:06,2017-03-19 07:42:49,achillesrasquinha/bulbea,inactive,5.0,
trading-bot,https://github.com/pskrunner14/trading-bot,Implementation of deep reinforcement learning using Deep Q Network (DQN). Only supports single security at the moment. Idea is roughly based [here](https://keon.github.io/deep-q-learning/) and uses tensorflow/keras. Interesting helper python libraries used here are [tqdm](https://tqdm.github.io/) for console based progress bar and [altair](https://altair-viz.github.io/) for declarative visualization in python ,Deep Learning And Reinforcement Learning,2021-05-10 16:43:24,309.0,158.0,1.0,2018-08-13 10:44:08,2020-01-23 04:41:20,pskrunner14/trading-bot,active,3.0,3/31/21 8:00
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,2021-05-11 08:29:30,265.0,146.0,1.0,2017-08-21 16:00:42,2017-08-21 17:23:48,sonaam1234/DeepLearningInFinance,inactive,3.0,3/31/21 8:00
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,2021-05-20 21:52:03,302.0,108.0,1.0,2018-09-29 23:38:06,2021-05-18 02:58:12,LastAncientOne/Deep-Learning-Machine-Learning-Stock,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,2021-05-20 21:38:04,1273.0,682.0,1.0,2016-06-18 18:23:06,2018-08-07 15:24:45,Rachnog/Deep-Trading,inactive,5.0,
Deep-Reinforcement-Learning-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,2021-05-22 12:17:38,145.0,71.0,1.0,2018-05-11 00:52:14,2019-10-26 14:22:44,saeed349/Deep-Reinforcement-Learning-in-Trading,active,3.0,3/31/21 8:00
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,2021-05-22 19:44:04,2064.0,521.0,22.0,2020-07-26 13:18:16,2021-05-05 14:56:35,AI4Finance-LLC/FinRL,active,5.0,3/31/21 8:00
DQN-DDPG_Stock_Trading,https://github.com/AI4Finance-LLC/DQN-DDPG_Stock_Trading,merged into FinRL library and uses [gym](https://gym.openai.com/) and implementation of DQN,Deep Learning And Reinforcement Learning,2021-05-20 11:56:53,142.0,54.0,4.0,2018-09-19 03:17:06,2020-11-26 16:58:00,AI4Finance-LLC/DQN-DDPG_Stock_Trading,active,3.0,3/31/21 8:00
LTSM GRU,https://github.com/RajatHanda/Finance-Forecasting,Stock Market Forecasting using LSTM\GRU.,Deep Learning And Reinforcement Learning,2021-03-29 23:59:32,11.0,6.0,1.0,2018-05-13 02:39:32,2019-02-25 00:26:42,RajatHanda/Finance-Forecasting,inactive,3.0,
RLQuant,https://github.com/yuriak/RLQuant,NEW,Deep Learning And Reinforcement Learning,2021-05-11 19:40:02,277.0,94.0,1.0,2018-04-05 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,2021-05-19 03:36:13,246.0,116.0,1.0,2017-05-18 16:47:11,2017-05-18 16:56:38,shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading,inactive,3.0,
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,2021-05-22 09:34:45,369.0,115.0,1.0,2018-06-21 01:06:01,2020-11-05 11:08:19,sadighian/crypto-rl,active,3.0,3/31/21 8:00
pairstrade-fyp-2019,https://github.com/wywongbd/pairstrade-fyp-2019,NEW,Deep Learning And Reinforcement Learning,2021-05-12 00:28:30,115.0,42.0,2.0,2018-09-07 07:51:06,2020-05-13 05:06:51,wywongbd/pairstrade-fyp-2019,active,,39:11.1
AutomatedStockTrading-DeepQ-Learning,https://github.com/sachink2010/AutomatedStockTrading-DeepQ-Learning,cornerstone project repo for Udacity nanodegree program [Become a machine learning engineer](https://www.udacity.com/course/machine-learning-engineer-nanodegree--nd009t) and focus on trading using deep q learning. Good explanation on design choices in the report,Deep Learning And Reinforcement Learning,2021-04-22 07:42:30,134.0,53.0,2.0,2019-02-23 12:01:21,2020-02-25 18:16:34,sachink2010/AutomatedStockTrading-DeepQ-Learning,active,3.0,3/31/21 8:00
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,2021-05-22 15:32:29,611.0,148.0,1.0,2018-11-26 03:23:04,2021-01-01 09:41:21,cbailes/awesome-deep-trading,active,4.0,3/31/21 8:00
rl_trading,https://github.com/ucaiado/rl_trading,NEW,Deep Learning And Reinforcement Learning,2021-05-13 17:59:54,213.0,89.0,1.0,2017-05-29 22:19:00,2017-08-29 14:54:50,ucaiado/rl_trading,inactive,,39:11.1
AI Trading,https://github.com/borisbanushev/stockpredictionai/blob/master/readme2.md,AI to predict stock market movements.,Deep Learning And Reinforcement Learning,2021-05-22 21:52:02,2941.0,1411.0,1.0,2019-01-09 08:02:47,2019-02-11 16:32:47,borisbanushev/stockpredictionai,inactive,5.0,
deep-RL-trading,https://github.com/golsun/deep-RL-trading,trading game comparing RNN vs CNN vs MLP based on [paper](https://arxiv.org/abs/1803.03916),Deep Learning And Reinforcement Learning,2021-05-22 18:04:27,245.0,110.0,1.0,2018-02-25 17:41:42,2020-12-01 22:06:39,golsun/deep-RL-trading,active,3.0,3/31/21 8:00
TradingGym,https://github.com/cove9988/TradingGym,NEW,Deep Learning And Reinforcement Learning,2021-05-17 02:51:50,113.0,39.0,3.0,2017-11-06 00:50:01,2017-11-15 23:55:32,cove9988/TradingGym,inactive,,39:11.1
Trading-Gym,https://github.com/thedimlebowski/Trading-Gym,NEW,Deep Learning And Reinforcement Learning,2021-05-15 23:25:58,509.0,147.0,3.0,2017-06-13 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,2021-05-18 17:50:13,300.0,131.0,3.0,2017-03-10 10:52:02,2018-06-11 08:07:02,PiSimo/BitcoinForecast,inactive,3.0,3/31/21 8:00
QLearning_Trading,https://github.com/ucaiado/QLearning_Trading,NEW,Deep Learning And Reinforcement Learning,2021-05-18 13:41:49,439.0,170.0,1.0,2016-08-10 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,2021-05-11 15:56:21,315.0,99.0,1.0,2018-06-04 15:30:16,2020-05-23 14:47:54,evgps/a3c_trading,active,,39:11.1
Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020,https://github.com/AI4Finance-LLC/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020,Part of FinRL and provided code for paper [deep reinformacement learning for automated stock trading](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3690996) focuses on ensemble.,Deep Learning And Reinforcement Learning,2021-05-22 02:21:14,629.0,277.0,6.0,2020-07-26 13:12:53,2021-01-21 18:11:59,AI4Finance-LLC/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020,active,4.0,3/31/21 8:00
RL Trading,https://colab.research.google.com/drive/1FzLCI0AO3c7A4bp9Fi01UwXeoc7BN8sW,A collection of 25+ Reinforcement Learning Trading Strategies -Google Colab.,Deep Learning And Reinforcement Learning,,,,,,,,,4.0,
FinRL,https://github.com/AI4Finance-LLC/FinRL,NEW,Deep Learning And Reinforcement Learning,2021-05-22 19:44:04,2064.0,521.0,22.0,2020-07-26 13:18:16,2021-05-05 14:56:35,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,2021-05-02 20:44:37,427.0,154.0,2.0,2016-12-12 02:15:12,2017-03-04 08:37:29,keon/deepstock,inactive,4.0,
Machine-Learning-and-Reinforcement-Learning-in-Finance,https://github.com/joelowj/Machine-Learning-and-Reinforcement-Learning-in-Finance,NEW,Deep Learning And Reinforcement Learning,2021-05-21 15:31:54,179.0,97.0,1.0,2018-06-26 04:30:08,2018-09-23 16:50:33,joelowj/Machine-Learning-and-Reinforcement-Learning-in-Finance,inactive,,39:11.1
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,2021-05-21 12:44:28,327.0,161.0,2.0,2019-02-16 21:18:00,2020-11-29 20:12:59,Rachnog/Advanced-Deep-Trading,active,3.0,3/31/21 8:00
Deep-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,2021-05-21 09:55:43,151.0,45.0,2.0,2019-05-19 22:20:05,2020-09-27 19:22:28,Albert-Z-Guo/Deep-Reinforcement-Stock-Trading,active,3.0,3/31/21 8:00
RL II,https://github.com/deependersingla/deep_trader,reinforcement learning on stock market and agent tries to learn trading.,Deep Learning And Reinforcement Learning,2021-05-22 12:17:18,1345.0,490.0,3.0,2016-06-11 07:27:10,2018-01-22 14:35:50,deependersingla/deep_trader,inactive,3.0,
tensortrade,https://github.com/tensortrade-org/tensortrade,NEW,Deep Learning And Reinforcement Learning,2021-05-22 16:43:45,3216.0,747.0,41.0,2019-07-30 21:28:32,2021-05-21 06:09:22,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,2021-05-22 18:02:30,3887.0,1614.0,2.0,2017-12-18 10:49:59,2021-01-05 10:31:50,huseinzol05/Stock-Prediction-Models,active,5.0,3/31/21 8:00
gs-quant,https://github.com/goldmansachs/gs-quant,NEW,Derivatives and Hedging,2021-05-23 00:43:42,622.0,183.0,12.0,2018-12-14 21:10:40,2021-05-21 16:33:24,goldmansachs/gs-quant,active,,23:51.4
MarketAnalysis,https://github.com/Poseyy/MarketAnalysis,NEW,Derivatives and Hedging,2021-05-11 10:05:43,175.0,78.0,1.0,2019-03-28 19:46:34,2020-08-06 05:15:46,Poseyy/MarketAnalysis,active,,23:51.4
robin_stocks,https://github.com/jmfernandes/robin_stocks,NEW,Derivatives and Hedging,2021-05-21 21:33:45,1072.0,284.0,36.0,2018-02-23 00:49:37,2021-05-12 02:21:21,jmfernandes/robin_stocks,active,,23:51.4
openAlgo,https://github.com/mtompkins/openAlgo,NEW,Derivatives and Hedging,2021-04-23 13:20:12,161.0,82.0,2.0,2013-05-28 14:46:53,2017-03-24 20:00:24,mtompkins/openAlgo,inactive,,23:51.4
Derivative Markets,https://github.com/broughtj/Fin6470/tree/master/Notebooks,"The economics of futures, futures, options, and swaps.",Derivatives and Hedging,2021-04-15 16:03:10,8.0,8.0,1.0,2016-02-09 05:30:27,2021-04-15 16:02:59,broughtj/Fin6470,active,,
FinancePy,https://github.com/domokane/FinancePy,NEW,Derivatives and Hedging,2021-05-21 20:27:12,482.0,80.0,6.0,2019-10-27 15:04:56,2021-03-11 21:40:14,domokane/FinancePy,active,,23:51.4
Derivatives Python,https://github.com/yhilpisch/dawp/tree/master/python36,Derivative analytics with Python.,Derivatives and Hedging,2021-05-14 07:21:16,397.0,302.0,1.0,2015-07-09 12:27:29,2021-02-22 13:29:18,yhilpisch/dawp,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,,
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,,
Black Scholes,https://github.com/irajwani/numerical_methods_python/blob/master/black_scholes.ipynb,Options pricing.,Derivatives and Hedging,2020-10-06 20:36:29,1.0,2.0,0.0,2017-12-09 18:50:20,2018-07-09 09:48:36,irajwani/numerical_methods_python,inactive,,
fast_arrow,https://github.com/westonplatter/fast_arrow,NEW,Derivatives and Hedging,2021-05-20 12:43:34,129.0,42.0,5.0,2018-07-19 23:15:25,2020-04-18 18:05:37,westonplatter/fast_arrow,active,,23:51.4
StockSharp,https://github.com/StockSharp/StockSharp,NEW,Derivatives and Hedging,2021-05-22 21:53:26,4060.0,1262.0,17.0,2014-12-08 07:53:44,2021-05-17 19:52:45,StockSharp/StockSharp,active,,23:51.4
Strata,https://github.com/OpenGamma/Strata,NEW,Derivatives and Hedging,2021-05-18 09:17:00,618.0,218.0,42.0,2014-06-16 11:45:55,2021-05-04 10:15:30,OpenGamma/Strata,active,,23:51.4
Hull White,https://github.com/rstreppa/valuation-callables-HullWhite/blob/master/CallableBond_HullWhite.ipynb,"Callable Bond, Hull White.",Derivatives and Hedging,2020-10-06 20:37:16,4.0,6.0,1.0,2018-06-06 22:06:06,2018-06-06 22:27:02,rstreppa/valuation-callables-HullWhite,inactive,,
Options,https://github.com/QuantConnect/Tutorials/tree/master/06%20Introduction%20to%20Options%5B%5D,Introduction to options.,Derivatives and Hedging,2021-05-21 03:33:30,343.0,167.0,36.0,2017-07-28 15:48:29,2021-03-17 17:17:08,QuantConnect/Tutorials,active,,
QLNet,https://github.com/amaggiulli/QLNet,NEW,Derivatives and Hedging,2021-05-19 02:54:53,265.0,134.0,13.0,2013-08-22 14:51:43,2021-03-02 18:39:41,amaggiulli/QLNet,active,,23:51.4
Options,https://github.com/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,2021-05-20 12:34:22,587.0,128.0,2.0,2016-01-20 22:03:39,2019-08-09 23:14:52,mcdallas/wallstreet,active,,23:51.4
Volatility and Variance Derivatives,https://github.com/yhilpisch/lvvd/tree/master/lvvd,Volatility derivatives analytics.,Derivatives and Hedging,2021-05-18 13:36:49,83.0,78.0,1.0,2016-10-21 04:12:50,2021-05-15 10:12:38,yhilpisch/lvvd,active,,
akshare,https://github.com/jindaxiang/akshare,NEW,Derivatives and Hedging,2021-05-22 23:25:57,3539.0,722.0,11.0,2019-10-01 07:34:12,2021-05-22 07:47:58,jindaxiang/akshare,active,,23:51.4
trading-server,https://github.com/s-brez/trading-server,NEW,Derivatives and Hedging,2021-05-22 02:43:56,233.0,56.0,2.0,2019-03-05 03:06:19,2021-03-08 02:37:08,s-brez/trading-server,active,,23:51.4
huobi_futures_Python,https://github.com/hbdmapi/huobi_futures_Python,NEW,Derivatives and Hedging,2021-05-22 07:52:02,174.0,87.0,2.0,2020-01-14 07:21:39,2021-05-06 03:44:14,hbdmapi/huobi_futures_Python,active,,23:51.4
Option Strategies,https://github.com/rstreppa/valuation-OptionStrategies,"Valuation of Vanilla and Exotic option strategies (Butterfly, Risk Reversal etc.) with widget animations.",Derivatives and Hedging,2021-02-27 08:50:16,2.0,3.0,1.0,2018-05-22 18:27:26,2018-05-22 18:30:24,rstreppa/valuation-OptionStrategies,inactive,,
tda-api,https://github.com/alexgolec/tda-api,NEW,Derivatives and Hedging,2021-05-22 03:22:11,691.0,180.0,16.0,2020-04-03 21:19:12,2021-05-21 04:08:41,alexgolec/tda-api,active,,23:51.4
paperbroker,https://github.com/philipodonnell/paperbroker,NEW,Derivatives and Hedging,2021-05-17 12:37:19,179.0,49.0,3.0,2017-07-06 02:04:51,2018-04-08 18:37:57,philipodonnell/paperbroker,inactive,,23:51.4
Reinforcement Learning,https://github.com/FinTechies/HedgingRL,Hedging portfolios with reinforcement learning.,Derivatives and Hedging,2021-01-20 08:12:13,16.0,9.0,1.0,2017-04-21 10:58:56,2017-08-02 21:41:06,FinTechies/HedgingRL,inactive,,
quant-trading,https://github.com/je-suis-tm/quant-trading,NEW,Derivatives and Hedging,2021-05-21 14:42:48,1885.0,502.0,2.0,2018-04-03 14:08:14,2021-04-13 18:37:15,je-suis-tm/quant-trading,active,,23:51.4
Options-Trading-Strategies-in-Python,https://github.com/PyPatel/Options-Trading-Strategies-in-Python,NEW,Derivatives and Hedging,2021-05-18 07:27:20,337.0,134.0,1.0,2017-08-30 06:00:15,2019-08-21 15:47:57,PyPatel/Options-Trading-Strategies-in-Python,active,,23:51.4
optopsy,https://github.com/michaelchu/optopsy,NEW,Derivatives and Hedging,2021-05-20 19:13:27,412.0,89.0,3.0,2017-09-17 01:49:54,2021-05-14 14:33:10,michaelchu/optopsy,active,,23:51.4
tf-quant-finance,https://github.com/google/tf-quant-finance,NEW,Derivatives and Hedging,2021-05-22 17:12:58,2629.0,340.0,29.0,2019-07-24 16:09:50,2021-05-21 13:47:54,google/tf-quant-finance,active,,23:51.4
paperbroker,https://github.com/philipodonnell/paperbroker,NEW,Derivatives and Hedging,2021-05-17 12:37:19,179.0,49.0,3.0,2017-07-06 02:04:51,2018-04-08 18:37:57,philipodonnell/paperbroker,inactive,,23:51.4
FinanceDatabase,https://github.com/JerBouma/FinanceDatabase,NEW,Derivatives and Hedging,2021-05-20 05:54:46,647.0,74.0,1.0,2021-01-28 18:36:09,2021-04-20 14:43:09,JerBouma/FinanceDatabase,active,,23:51.4
tai,https://github.com/fremantle-industries/tai,NEW,Derivatives and Hedging,2021-05-23 00:06:18,288.0,47.0,6.0,2017-07-28 03:07:18,2021-05-21 23:03:53,fremantle-industries/tai,active,,23:51.4
algotrader,https://github.com/torreyleonard/algotrader,NEW,Derivatives and Hedging,2021-05-17 05:06:38,485.0,103.0,12.0,2018-04-10 02:31:26,2020-08-27 08:16:44,torreyleonard/algotrader,active,,23:51.4
@@ -175,174 +195,137 @@ trade-frame,https://github.com/rburkholder/trade-frame,NEW,Derivatives and Hedgi
Delta Hedging,https://github.com/RobinsonGarcia/delta-hedging,Advanced derivatives.,Derivatives and Hedging,2021-02-27 08:48:27,3.0,2.0,1.0,2018-03-02 23:53:53,2018-07-17 23:32:23,RobinsonGarcia/delta-hedging,inactive,,
Options Risk Measures,https://github.com/wanglouis49/risk_estimation,Efficient financial risk estimation via computer experiment design (regression + variance-reduced sampling).,Derivatives and Hedging,2020-10-06 20:37:02,1.0,2.0,1.0,2016-04-29 03:51:25,2018-01-16 01:24:07,wanglouis49/risk_estimation,inactive,,
Options_Data_Science,https://github.com/yugedata/Options_Data_Science,NEW,Derivatives and Hedging,2021-05-19 18:24:05,243.0,41.0,1.0,2020-12-09 04:51:20,2021-05-13 04:13:21,yugedata/Options_Data_Science,active,,23:51.4
tf-quant-finance,https://github.com/google/tf-quant-finance,NEW,Derivatives and Hedging,2021-05-22 17:12:58,2629.0,340.0,29.0,2019-07-24 16:09:50,2021-05-21 13:47:54,google/tf-quant-finance,active,,23:51.4
AlgorithmicTrading,https://github.com/JerBouma/AlgorithmicTrading,NEW,Derivatives and Hedging,2021-05-22 08:50:36,186.0,55.0,1.0,2019-03-14 09:33:37,2021-02-03 22:29:07,JerBouma/AlgorithmicTrading,active,,23:51.4
akshare,https://github.com/jindaxiang/akshare,NEW,Derivatives and Hedging,2021-05-22 23:25:57,3539.0,722.0,11.0,2019-10-01 07:34:12,2021-05-22 07:47:58,jindaxiang/akshare,active,,23:51.4
trading-server,https://github.com/s-brez/trading-server,NEW,Derivatives and Hedging,2021-05-22 02:43:56,233.0,56.0,2.0,2019-03-05 03:06:19,2021-03-08 02:37:08,s-brez/trading-server,active,,23:51.4
wallstreet,https://github.com/mcdallas/wallstreet,NEW,Derivatives and Hedging,2021-05-20 12:34:22,587.0,128.0,2.0,2016-01-20 22:03:39,2019-08-09 23:14:52,mcdallas/wallstreet,active,,23:51.4
QLNet,https://github.com/amaggiulli/QLNet,NEW,Derivatives and Hedging,2021-05-19 02:54:53,265.0,134.0,13.0,2013-08-22 14:51:43,2021-03-02 18:39:41,amaggiulli/QLNet,active,,23:51.4
gs-quant,https://github.com/goldmansachs/gs-quant,NEW,Derivatives and Hedging,2021-05-23 00:43:42,622.0,183.0,12.0,2018-12-14 21:10:40,2021-05-21 16:33:24,goldmansachs/gs-quant,active,,23:51.4
robin_stocks,https://github.com/jmfernandes/robin_stocks,NEW,Derivatives and Hedging,2021-05-21 21:33:45,1072.0,284.0,36.0,2018-02-23 00:49:37,2021-05-12 02:21:21,jmfernandes/robin_stocks,active,,23:51.4
openAlgo,https://github.com/mtompkins/openAlgo,NEW,Derivatives and Hedging,2021-04-23 13:20:12,161.0,82.0,2.0,2013-05-28 14:46:53,2017-03-24 20:00:24,mtompkins/openAlgo,inactive,,23:51.4
Derivative Markets,https://github.com/broughtj/Fin6470/tree/master/Notebooks,"The economics of futures, futures, options, and swaps.",Derivatives and Hedging,2021-04-15 16:03:10,8.0,8.0,1.0,2016-02-09 05:30:27,2021-04-15 16:02:59,broughtj/Fin6470,active,,
FinancePy,https://github.com/domokane/FinancePy,NEW,Derivatives and Hedging,2021-05-21 20:27:12,482.0,80.0,6.0,2019-10-27 15:04:56,2021-03-11 21:40:14,domokane/FinancePy,active,,23:51.4
Derivatives Python,https://github.com/yhilpisch/dawp/tree/master/python36,Derivative analytics with Python.,Derivatives and Hedging,2021-05-14 07:21:16,397.0,302.0,1.0,2015-07-09 12:27:29,2021-02-22 13:29:18,yhilpisch/dawp,active,,
MarketAnalysis,https://github.com/Poseyy/MarketAnalysis,NEW,Derivatives and Hedging,2021-05-11 10:05:43,175.0,78.0,1.0,2019-03-28 19:46:34,2020-08-06 05:15:46,Poseyy/MarketAnalysis,active,,23:51.4
Computational Derivatives,https://github.com/chenbowen184/Computational_Finance,Projects focusing on investigating simulations and computational techniques applied in finance.,Derivatives and Hedging,2021-05-18 09:14:31,19.0,12.0,1.0,2018-01-29 05:01:52,2018-08-02 05:56:49,chen-bowen/Computational_Finance,inactive,,
Options,https://github.com/PHBS/2018.M1.ASP/tree/master/py,Black Scholes and Copula.,Derivatives and Hedging,,,,,,,PHBS/2018.M1.ASP,,,
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,2021-05-18 13:36:49,83.0,78.0,1.0,2016-10-21 04:12:50,2021-05-15 10:12:38,yhilpisch/lvvd,active,,
fast_arrow,https://github.com/westonplatter/fast_arrow,NEW,Derivatives and Hedging,2021-05-20 12:43:34,129.0,42.0,5.0,2018-07-19 23:15:25,2020-04-18 18:05:37,westonplatter/fast_arrow,active,,23:51.4
Derman,https://github.com/rstreppa/valuation-convertibles-Goldman1994/blob/master/ConvertibleBond_Goldman1994_Derman.ipynb,Binomial tree for American call.,Derivatives and Hedging,2020-10-06 20:37:15,1.0,3.0,1.0,2018-05-18 18:08:16,2018-09-21 19:59:01,rstreppa/valuation-convertibles-Goldman1994,inactive,,
Strata,https://github.com/OpenGamma/Strata,NEW,Derivatives and Hedging,2021-05-18 09:17:00,618.0,218.0,42.0,2014-06-16 11:45:55,2021-05-04 10:15:30,OpenGamma/Strata,active,,23:51.4
Hull White,https://github.com/rstreppa/valuation-callables-HullWhite/blob/master/CallableBond_HullWhite.ipynb,"Callable Bond, Hull White.",Derivatives and Hedging,2020-10-06 20:37:16,4.0,6.0,1.0,2018-06-06 22:06:06,2018-06-06 22:27:02,rstreppa/valuation-callables-HullWhite,inactive,,
Options,https://github.com/QuantConnect/Tutorials/tree/master/06%20Introduction%20to%20Options%5B%5D,Introduction to options.,Derivatives and Hedging,2021-05-21 03:33:30,343.0,167.0,36.0,2017-07-28 15:48:29,2021-03-17 17:17:08,QuantConnect/Tutorials,active,,
StockSharp,https://github.com/StockSharp/StockSharp,NEW,Derivatives and Hedging,2021-05-22 21:53:26,4060.0,1262.0,17.0,2014-12-08 07:53:44,2021-05-17 19:52:45,StockSharp/StockSharp,active,,23:51.4
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
graph-fraud-detection-papers,https://github.com/safe-graph/graph-fraud-detection-papers,NEW,Extended Research,2021-05-22 08:25:40,378.0,68.0,2.0,2019-11-21 05:39:23,2021-05-11 04:34:17,safe-graph/graph-fraud-detection-papers,active,,2021-04-21 01:25:51.827641
roq-samples,https://github.com/roq-trading/roq-samples,NEW,Extended Research,2021-05-22 06:16:34,59.0,24.0,3.0,2018-03-27 04:19:09,2021-05-22 06:14:42,roq-trading/roq-samples,active,,2021-05-05 01:50:21.293278
talkingdata-adtracking-fraud-detection,https://github.com/flowlight0/talkingdata-adtracking-fraud-detection,NEW,Extended Research,2021-04-22 06:10:23,203.0,54.0,1.0,2018-03-21 11:27:31,2018-06-10 15:30:50,flowlight0/talkingdata-adtracking-fraud-detection,inactive,,2021-04-21 01:25:51.827641
StockPredictionRNN,https://github.com/dzitkowskik/StockPredictionRNN,NEW,Extended Research,2021-05-22 11:05:01,496.0,215.0,2.0,2015-11-26 19:00:35,2016-05-21 15:51:22,dzitkowskik/StockPredictionRNN,inactive,,2021-04-21 01:25:51.827641
fraud-detection-demo,https://github.com/afedulov/fraud-detection-demo,NEW,Extended Research,2021-05-21 10:33:08,169.0,70.0,2.0,2019-11-04 09:23:17,2021-01-05 19:28:04,afedulov/fraud-detection-demo,active,,2021-04-21 01:25:51.827641
fraud-detection-using-machine-learning,https://github.com/awslabs/fraud-detection-using-machine-learning,NEW,Extended Research,2021-05-18 19:25:08,92.0,59.0,6.0,2019-05-17 17:12:46,2021-05-18 19:25:06,awslabs/fraud-detection-using-machine-learning,active,,2021-04-21 01:25:51.827641
High-Frequency-Trading-Simulation-System,https://github.com/chenhaotian/High-Frequency-Trading-Simulation-System,NEW,Extended Research,2021-05-21 16:30:46,51.0,25.0,1.0,2016-06-14 13:50:39,2018-04-16 08:48:10,chenhaotian/High-Frequency-Trading-Simulation-System,inactive,,2021-04-21 01:25:51.827641
FraudDetection-Microservices,https://github.com/melofred/FraudDetection-Microservices,NEW,Extended Research,2021-02-16 00:13:03,85.0,49.0,1.0,2016-06-08 23:24:21,2017-01-18 17:52:01,melofred/FraudDetection-Microservices,inactive,,2021-04-21 01:25:51.827641
getIPIntel,https://github.com/blackdotsh/getIPIntel,NEW,Extended Research,2021-05-15 08:35:04,152.0,31.0,4.0,2015-10-02 21:40:50,2021-01-24 01:09:18,blackdotsh/getIPIntel,active,,2021-04-21 01:25:51.827641
fx_systrade,https://github.com/ryogrid/fx_systrade,NEW,Extended Research,2021-05-09 01:04:16,81.0,29.0,2.0,2015-07-24 11:46:28,2020-10-23 10:17:01,ryogrid/fx_systrade,active,,2021-04-21 01:25:51.827641
HFT_Bitcoin,https://github.com/ghgr/HFT_Bitcoin,NEW,Extended Research,2021-05-07 12:27:55,72.0,23.0,1.0,2017-07-27 07:11:48,2017-08-21 14:50:35,ghgr/HFT_Bitcoin,inactive,,2021-04-21 01:25:51.827641
Fraud_Detection_Techniques,https://github.com/wmlba/Fraud_Detection_Techniques,NEW,Extended Research,2021-05-13 07:14:15,62.0,34.0,1.0,2019-02-14 02:27:13,2020-06-14 23:36:47,wmlba/Fraud_Detection_Techniques,active,,2021-04-21 01:25:51.827641
FX-Trading-with-Python-and-Oanda,https://github.com/anthonyng2/FX-Trading-with-Python-and-Oanda,NEW,Extended Research,2021-02-20 20:49:53,57.0,42.0,1.0,2017-02-23 07:48:12,2017-08-14 03:21:30,anthonyng2/FX-Trading-with-Python-and-Oanda,inactive,,2021-04-21 01:25:51.827641
FX-1-Minute-Data,https://github.com/philipperemy/FX-1-Minute-Data,NEW,Extended Research,2021-05-20 08:29:05,286.0,110.0,3.0,2017-05-22 03:24:35,2020-04-08 03:32:23,philipperemy/FX-1-Minute-Data,active,,2021-04-21 01:25:51.827641
fingerprintjs,https://github.com/fingerprintjs/fingerprintjs,NEW,Extended Research,2021-05-22 21:42:11,13629.0,1629.0,66.0,2015-02-11 08:49:54,2021-05-12 02:28:17,fingerprintjs/fingerprintjs,active,,2021-04-21 01:25:51.827641
math-finance-cheat-sheet,https://github.com/daleroberts/math-finance-cheat-sheet,NEW,Extended Research,2021-05-12 21:24:49,191.0,30.0,1.0,2014-05-02 00:19:01,2016-11-16 05:57:09,daleroberts/math-finance-cheat-sheet,inactive,,2021-04-21 01:25:51.827641
kafka-fraud-detector,https://github.com/florimondmanca/kafka-fraud-detector,NEW,Extended Research,2021-04-23 11:08:55,60.0,44.0,3.0,2018-09-13 17:36:49,2019-04-29 22:04:23,florimondmanca/kafka-fraud-detector,inactive,,2021-04-21 01:25:51.827641
bot18,https://github.com/carlos8f/bot18,NEW,Extended Research,2021-05-15 18:12:08,164.0,31.0,2.0,2018-05-23 14:22:25,2018-10-17 08:06:21,carlos8f/bot18,inactive,,2021-04-21 01:25:51.827641
Fraud-detection-using-deep-learning,https://github.com/aaxwaz/Fraud-detection-using-deep-learning,NEW,Extended Research,2021-03-10 20:47:39,103.0,56.0,1.0,2017-06-18 12:35:24,2017-12-06 13:51:54,aaxwaz/Fraud-detection-using-deep-learning,inactive,,2021-04-21 01:25:51.827641
beymani,https://github.com/pranab/beymani,NEW,Extended Research,2021-05-21 02:36:21,112.0,59.0,0.0,2012-01-04 07:22:01,2021-05-08 15:21:52,pranab/beymani,active,,2021-04-21 01:25:51.827641
tradingrrl,https://github.com/darden1/tradingrrl,NEW,Extended Research,2021-05-05 10:46:14,60.0,33.0,1.0,2017-03-05 07:20:56,2018-11-14 13:19:52,darden1/tradingrrl,inactive,,2021-04-21 01:25:51.827641
UGFraud,https://github.com/safe-graph/UGFraud,NEW,Extended Research,2021-05-24 11:06:31,55.0,15.0,2.0,2020-06-01 22:34:14,2021-04-11 19:01:44,safe-graph/UGFraud,active,,2021-05-26 02:41:08.838631
High-Frequency-Trading-Model-with-IB,https://github.com/jamesmawm/High-Frequency-Trading-Model-with-IB,NEW,Extended Research,2021-05-22 00:42:59,1846.0,550.0,2.0,2014-05-18 19:20:13,2019-06-21 14:58:07,jamesmawm/High-Frequency-Trading-Model-with-IB,active,,2021-04-21 01:25:51.827641
Trading-Bot,https://github.com/RaidasGrisk/Trading-Bot,NEW,Extended Research,2021-05-10 21:09:44,76.0,30.0,1.0,2017-11-27 21:20:40,2018-01-22 21:00:57,RaidasGrisk/Trading-Bot,inactive,,2021-04-21 01:25:51.827641
awesome-fraud-detection-papers,https://github.com/benedekrozemberczki/awesome-fraud-detection-papers,NEW,Extended Research,2021-05-19 14:23:50,869.0,184.0,4.0,2019-05-27 10:23:22,2021-04-03 10:45:01,benedekrozemberczki/awesome-fraud-detection-papers,active,,2021-04-21 01:25:51.827641
roq-api,https://github.com/roq-trading/roq-api,NEW,Extended Research,2021-05-22 11:20:24,153.0,46.0,1.0,2018-03-05 08:37:57,2021-04-15 04:00:44,roq-trading/roq-api,active,,2021-04-21 01:25:51.827641
fraud-detection,https://github.com/yazanobeidi/fraud-detection,NEW,Extended Research,2021-04-06 09:02:18,61.0,34.0,1.0,2017-08-04 15:03:47,2017-08-05 15:38:45,yazanobeidi/fraud-detection,inactive,,2021-04-21 01:25:51.827641
math-php,https://github.com/markrogoyski/math-php,NEW,Extended Research,2021-05-21 21:32:13,1909.0,200.0,17.0,2016-04-03 17:57:14,2021-05-09 19:53:17,markrogoyski/math-php,active,,2021-04-21 01:25:51.827641
Fraud_Detector,https://github.com/kskk02/Fraud_Detector,NEW,Extended Research,2021-05-19 15:04:04,58.0,35.0,1.0,2014-07-03 20:52:51,2015-01-15 22:03:04,kskk02/Fraud_Detector,inactive,,2021-04-21 01:25:51.827641
gym-fx,https://github.com/harveybc/gym-fx,NEW,Extended Research,2021-05-19 00:21:40,156.0,42.0,1.0,2017-02-21 21:04:09,2020-06-03 21:03:14,harveybc/gym-fx,active,,2021-04-21 01:25:51.827641
InteractiveBrokers-Algo-System,https://github.com/rediar/InteractiveBrokers-Algo-System,NEW,Extended Research,2021-05-07 19:42:59,154.0,66.0,1.0,2018-01-21 03:09:41,2018-10-25 02:56:15,rediar/InteractiveBrokers-Algo-System,inactive,,2021-04-21 01:25:51.827641
ml-fraud-detection,https://github.com/georgymh/ml-fraud-detection,NEW,Extended Research,2021-04-23 23:59:07,121.0,92.0,2.0,2017-04-27 01:48:35,2018-01-31 21:17:26,georgymh/ml-fraud-detection,inactive,,2021-04-21 01:25:51.827641
TalkingData,https://github.com/CuteChibiko/TalkingData,NEW,Extended Research,2021-04-27 08:30:50,100.0,39.0,1.0,2018-05-09 15:17:45,2018-05-11 01:32:26,CuteChibiko/TalkingData,inactive,,2021-04-21 01:25:51.827641
crypto-database,https://github.com/ivopetiz/crypto-database,NEW,Extended Research,2021-05-08 01:46:09,57.0,24.0,2.0,2018-02-22 21:34:11,2019-10-04 13:06:18,ivopetiz/crypto-database,active,,2021-04-21 01:25:51.827641
DGFraud,https://github.com/safe-graph/DGFraud,NEW,Extended Research,2021-05-20 14:36:12,308.0,83.0,4.0,2019-11-22 14:02:36,2020-12-26 16:32:18,safe-graph/DGFraud,active,,2021-04-21 01:25:51.827641
wtpy,https://github.com/wondertrader/wtpy,NEW,Extended Research,2021-05-19 14:36:25,69.0,21.0,1.0,2020-06-18 01:43:25,2021-04-14 08:51:54,wondertrader/wtpy,active,,2021-04-21 01:25:51.827641
PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop,https://github.com/TheSnowGuru/PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop,NEW,Extended Research,2021-05-22 18:45:33,132.0,38.0,2.0,2020-07-05 07:59:38,2021-05-05 20:28:46,TheSnowGuru/PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop,active,,2021-04-21 01:25:51.827641
Krypto-trading-bot,https://github.com/ctubio/Krypto-trading-bot,NEW,Extended Research,2021-05-22 15:32:34,2236.0,610.0,49.0,2017-06-13 20:15:54,2021-05-07 12:56:36,ctubio/Krypto-trading-bot,active,,2021-04-21 01:25:51.827641
fraud-detection-papers,https://github.com/IPL/fraud-detection-papers,NEW,Extended Research,2021-05-22 22:10:10,131.0,31.0,1.0,2017-09-29 02:47:54,2021-02-03 09:47:27,IPL/fraud-detection-papers,active,,2021-04-21 01:25:51.827641
wattnet-fx-trading,https://github.com/Zymrael/wattnet-fx-trading,NEW,Extended Research,2021-05-22 08:30:01,60.0,12.0,1.0,2019-09-13 08:44:27,2020-08-19 05:49:12,Zymrael/wattnet-fx-trading,active,,2021-04-21 01:25:51.827641
exchange-core,https://github.com/mzheravin/exchange-core,NEW,Extended Research,2021-05-22 11:08:20,895.0,411.0,7.0,2018-08-05 18:25:16,2021-04-25 18:24:27,mzheravin/exchange-core,active,,2021-04-21 01:25:51.827641
TradingStrategies,https://github.com/SoftAlgoTrade/TradingStrategies,NEW,Extended Research,2021-05-16 20:09:45,117.0,55.0,1.0,2017-05-22 20:46:35,2017-10-29 11:09:37,SoftAlgoTrade/TradingStrategies,inactive,,2021-04-21 01:25:51.827641
algotrading,https://github.com/ivopetiz/algotrading,NEW,Extended Research,2021-05-22 22:08:43,317.0,80.0,3.0,2018-07-10 22:10:41,2021-05-22 22:08:16,ivopetiz/algotrading,active,,2021-04-21 01:25:51.827641
wondertrader,https://github.com/wondertrader/wondertrader,NEW,Extended Research,2021-05-22 00:10:14,257.0,66.0,2.0,2020-03-30 05:43:52,2021-04-14 08:07:18,wondertrader/wondertrader,active,,2021-04-21 01:25:51.827641
fecon236,https://github.com/MathSci/fecon236,NEW,Extended Research,2021-05-05 08:23:20,75.0,44.0,2.0,2018-04-05 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,2021-02-01 12:13:52,84.0,55.0,8.0,2013-04-11 16:14:53,2020-07-02 15:32:31,BillRun/system,active,,2021-04-21 01:25:51.827641
Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras,https://github.com/curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras,NEW,Extended Research,2021-05-12 09:36:45,346.0,238.0,1.0,2017-06-09 13:58:13,2019-06-28 09:27:45,curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras,active,,2021-04-21 01:25:51.827641
Computational Finance,https://github.com/lnsongxf/Applied_Computational_Economics_and_Finance,Applied Computational Economics and Finance.,Extended Research,2021-05-21 02:57:11,13.0,14.0,1.0,2017-08-27 03:46:33,2017-08-26 04:26:04,lnsongxf/Applied_Computational_Economics_and_Finance,inactive,,
tectonicdb,https://github.com/0b01/tectonicdb,NEW,Extended Research,2021-05-20 22:19:22,343.0,54.0,10.0,2017-10-03 00:34:01,2020-09-08 23:02:20,0b01/tectonicdb,active,,2021-04-21 01:25:51.827641
hummingbot_chinese,https://github.com/CoinAlpha/hummingbot_chinese,NEW,Extended Research,2021-05-22 01:06:40,148.0,27.0,5.0,2019-06-05 22:53:04,2021-05-21 00:36:05,CoinAlpha/hummingbot_chinese,active,,2021-04-21 01:25:51.827641
ReactiveTraderCloud,https://github.com/AdaptiveConsulting/ReactiveTraderCloud,NEW,Extended Research,2021-05-20 12:47:54,1581.0,501.0,81.0,2015-11-13 19:24:11,2021-05-10 13:20:10,AdaptiveConsulting/ReactiveTraderCloud,active,,2021-04-21 01:25:51.827641
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,,
algo-trader-tool-suite,https://github.com/K0414/algo-trader-tool-suite,NEW,Extended Research,2021-04-15 04:00:52,58.0,52.0,1.0,2013-10-24 14:57:12,2013-10-24 15:01:56,K0414/algo-trader-tool-suite,inactive,,2021-04-21 01:25:51.827641
HFT,https://github.com/rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy,High frequency trading.,Extended Research,2021-05-16 05:14:25,774.0,338.0,1.0,2016-07-21 05:14:14,2017-02-14 16:47:25,rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy,inactive,,
example-hftish,https://github.com/alpacahq/example-hftish,NEW,Extended Research,2021-05-22 10:35:54,383.0,167.0,3.0,2019-01-25 14:56:38,2019-10-25 02:16:27,alpacahq/example-hftish,active,,2021-04-21 01:25:51.827641
OpenHFT,https://github.com/OpenHFT/OpenHFT,NEW,Extended Research,2021-05-22 08:52:10,471.0,150.0,33.0,2013-12-26 10:22:00,2021-05-22 08:52:05,OpenHFT/OpenHFT,active,,2021-04-21 01:25:51.827641
hft,https://github.com/nickhuangxinyu/hft,NEW,Extended Research,2021-05-22 12:58:32,153.0,73.0,2.0,2019-03-12 14:57:01,2021-05-07 04:09:18,nickhuangxinyu/hft,active,,2021-04-21 01:25:51.827641
HFT-Orderbook,https://github.com/Crypto-toolbox/HFT-Orderbook,NEW,Extended Research,2021-05-22 09:34:04,433.0,145.0,4.0,2017-07-26 08:42:19,2018-08-24 13:35:39,Crypto-toolbox/HFT-Orderbook,inactive,,2021-04-21 01:25:51.827641
Bayesian Finance,https://github.com/marketneutral/alphatools/blob/master/notebooks/pymc3-minimal.ipynb,Notebook PyMC3 implementation.,Extended Research,2021-05-22 04:29:43,246.0,58.0,1.0,2018-08-28 14:45:00,2020-08-06 22:03:47,marketneutral/alphatools,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,,
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,2021-05-13 21:05:04,51.0,20.0,1.0,2017-11-27 06:37:43,2019-01-08 18:13:34,SheikhRabiul/A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market,inactive,,2021-04-21 01:25:51.827641
HFT-CNN,https://github.com/ShimShim46/HFT-CNN,NEW,Extended Research,2021-05-10 14:09:50,72.0,18.0,1.0,2018-08-18 06:39:32,2018-11-09 02:29:00,ShimShim46/HFT-CNN,inactive,,2021-04-21 01:25:51.827641
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
ITCH,https://github.com/martinobdl/ITCH,NEW,Extended Research,2021-05-12 02:47:46,68.0,27.0,3.0,2019-03-09 18:20:12,2020-07-25 10:24:10,martinobdl/ITCH,active,,2021-04-21 01:25:51.827641
freqtrade_bot,https://github.com/michael-fourie/freqtrade_bot,NEW,Extended Research,2021-05-22 08:37:20,66.0,24.0,1.0,2020-12-21 00:14:25,2021-01-07 19:52:54,michael-fourie/freqtrade_bot,active,,2021-04-21 01:25:51.827641
go-quantcup,https://github.com/rdingwall/go-quantcup,NEW,Extended Research,2021-05-16 22:40:27,73.0,36.0,1.0,2015-02-04 10:33:12,2015-06-11 12:50:09,rdingwall/go-quantcup,inactive,,2021-04-21 01:25:51.827641
Financial-Formulas-Library-.NET-Standard,https://github.com/srbrettle/Financial-Formulas-Library-.NET-Standard,NEW,Extended Research,2021-05-20 07:46:01,107.0,31.0,2.0,2018-09-01 17:43:37,2019-11-22 12:50:30,srbrettle/Financial-Formulas-Library-.NET-Standard,active,,2021-04-21 01:25:51.827641
avellaneda-stoikov,https://github.com/ragoragino/avellaneda-stoikov,NEW,Extended Research,2021-04-06 09:40:48,56.0,19.0,1.0,2017-10-21 20:53:00,2017-10-30 18:23:27,ragoragino/avellaneda-stoikov,inactive,,2021-04-21 01:25:51.827641
Chronicle-Accelerate,https://github.com/OpenHFT/Chronicle-Accelerate,NEW,Extended Research,2020-12-11 04:11:30,55.0,12.0,7.0,2018-01-24 08:52:53,2018-08-11 12:11:43,OpenHFT/Chronicle-Accelerate,inactive,,2021-04-21 01:25:51.827641
2018-Kaggle-AdTrackingFraud,https://github.com/ShawnyXiao/2018-Kaggle-AdTrackingFraud,NEW,Extended Research,2021-05-21 03:36:04,72.0,23.0,1.0,2018-05-08 09:29:46,2019-01-12 07:57:33,ShawnyXiao/2018-Kaggle-AdTrackingFraud,inactive,,2021-04-21 01:25:51.827641
avellaneda-stoikov,https://github.com/ragoragino/avellaneda-stoikov,NEW,Extended Research,2021-04-06 09:40:48,56.0,19.0,1.0,2017-10-21 20:53:00,2017-10-30 18:23:27,ragoragino/avellaneda-stoikov,inactive,,2021-04-21 01:25:51.827641
finmath-lib,https://github.com/finmath/finmath-lib,NEW,Extended Research,2021-05-14 01:11:12,316.0,125.0,16.0,2013-03-17 10:00:22,2021-03-13 21:37:31,finmath/finmath-lib,active,,2021-04-21 01:25:51.827641
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
Financial-Formulas-Library-.NET-Standard,https://github.com/srbrettle/Financial-Formulas-Library-.NET-Standard,NEW,Extended Research,2021-05-20 07:46:01,107.0,31.0,2.0,2018-09-01 17:43:37,2019-11-22 12:50:30,srbrettle/Financial-Formulas-Library-.NET-Standard,active,,2021-04-21 01:25:51.827641
HFT-CNN,https://github.com/ShimShim46/HFT-CNN,NEW,Extended Research,2021-05-10 14:09:50,72.0,18.0,1.0,2018-08-18 06:39:32,2018-11-09 02:29:00,ShimShim46/HFT-CNN,inactive,,2021-04-21 01:25:51.827641
algo-trader-tool-suite,https://github.com/K0414/algo-trader-tool-suite,NEW,Extended Research,2021-04-15 04:00:52,58.0,52.0,1.0,2013-10-24 14:57:12,2013-10-24 15:01:56,K0414/algo-trader-tool-suite,inactive,,2021-04-21 01:25:51.827641
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,,
Bayesian Finance,https://github.com/marketneutral/alphatools/blob/master/notebooks/pymc3-minimal.ipynb,Notebook PyMC3 implementation.,Extended Research,2021-05-22 04:29:43,246.0,58.0,1.0,2018-08-28 14:45:00,2020-08-06 22:03:47,marketneutral/alphatools,active,,
HFT-Orderbook,https://github.com/Crypto-toolbox/HFT-Orderbook,NEW,Extended Research,2021-05-22 09:34:04,433.0,145.0,4.0,2017-07-26 08:42:19,2018-08-24 13:35:39,Crypto-toolbox/HFT-Orderbook,inactive,,2021-04-21 01:25:51.827641
hft,https://github.com/nickhuangxinyu/hft,NEW,Extended Research,2021-05-22 12:58:32,153.0,73.0,2.0,2019-03-12 14:57:01,2021-05-07 04:09:18,nickhuangxinyu/hft,active,,2021-04-21 01:25:51.827641
OpenHFT,https://github.com/OpenHFT/OpenHFT,NEW,Extended Research,2021-05-22 08:52:10,471.0,150.0,33.0,2013-12-26 10:22:00,2021-05-22 08:52:05,OpenHFT/OpenHFT,active,,2021-04-21 01:25:51.827641
example-hftish,https://github.com/alpacahq/example-hftish,NEW,Extended Research,2021-05-22 10:35:54,383.0,167.0,3.0,2019-01-25 14:56:38,2019-10-25 02:16:27,alpacahq/example-hftish,active,,2021-04-21 01:25:51.827641
HFT,https://github.com/rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy,High frequency trading.,Extended Research,2021-05-16 05:14:25,774.0,338.0,1.0,2016-07-21 05:14:14,2017-02-14 16:47:25,rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy,inactive,,
Finance Graph Theory,https://github.com/AvijitGhosh82/Finance_Graph_Theory,Modelling Contentedness of Firms in Financial Markets with Heterogeneous Agents.,Extended Research,2021-03-28 02:22:22,17.0,7.0,3.0,2018-08-02 02:48:24,2019-03-16 18:39:38,evijit/Finance_Graph_Theory,inactive,,
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,,
ReactiveTraderCloud,https://github.com/AdaptiveConsulting/ReactiveTraderCloud,NEW,Extended Research,2021-05-20 12:47:54,1581.0,501.0,81.0,2015-11-13 19:24:11,2021-05-10 13:20:10,AdaptiveConsulting/ReactiveTraderCloud,active,,2021-04-21 01:25:51.827641
A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market,https://github.com/SheikhRabiul/A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market,NEW,Extended Research,2021-05-13 21:05:04,51.0,20.0,1.0,2017-11-27 06:37:43,2019-01-08 18:13:34,SheikhRabiul/A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market,inactive,,2021-04-21 01:25:51.827641
Financial Economics,https://github.com/rsvp/fecon235/tree/master/nb,Financial Economics Models.,Extended Research,2021-05-18 07:37:23,721.0,280.0,2.0,2014-11-09 04:49:01,2018-12-03 16:30:28,rsvp/fecon235,inactive,,
MIDAS,https://github.com/Stream-AD/MIDAS,NEW,Extended Research,2021-05-15 16:22:28,610.0,71.0,3.0,2019-10-23 03:50:50,2021-04-11 02:23:01,Stream-AD/MIDAS,active,,2021-04-21 01:25:51.827641
SumZeroTrading,https://github.com/rterp/SumZeroTrading,NEW,Extended Research,2021-04-11 21:34:51,128.0,44.0,1.0,2016-01-19 05:43:31,2018-08-30 22:44:52,rterp/SumZeroTrading,inactive,,2021-04-21 01:25:51.827641
kungfu,https://github.com/kungfu-origin/kungfu,NEW,Extended Research,2021-05-21 11:40:08,2355.0,860.0,7.0,2017-11-15 06:54:01,2020-06-03 12:04:41,kungfu-origin/kungfu,active,,2021-04-21 01:25:51.827641
448Project,https://github.com/HujiaYuYoyo/448Project,NEW,Extended Research,2021-04-23 14:39:33,66.0,44.0,4.0,2018-04-14 21:19:21,2018-06-10 09:29:37,HujiaYuYoyo/448Project,inactive,,2021-04-21 01:25:51.827641
Liquidity and Momentum,https://github.com/mrefermat/quant_finance,Various factors and portfolio constructions.,Extended Research,2021-04-20 13:01:20,30.0,17.0,1.0,2018-08-11 22:59:53,2019-11-12 04:49:01,mrefermat/quant_finance,active,,
Commodity,https://github.com/felipessalvatore/fin2vec/blob/master/src/Commodity2BR.ipynb,Commodity influence over Brazilian stocks.,Extended Research,,,,,,,felipessalvatore/fin2vec,,,
M&A,https://github.com/atulram/Finance-and-Stocks,Mergers and Acquisitions.,Extended Research,2020-12-21 14:42:43,3.0,3.0,1.0,2019-01-19 18:16:47,2019-02-18 16:57:19,atulram/Finance-and-Stocks,inactive,,
Mathematical Finance,https://github.com/Auquan/Tutorials,Notebooks for math and financial tutorials.,Extended Research,2021-05-06 11:40:27,680.0,439.0,9.0,2017-01-21 11:24:18,2020-08-01 17:03:32,Auquan/Tutorials,active,,
Economic Foundations,https://github.com/SeanMcOwen/FinanceAndPython.com-EconomicFoundations,Basic economic models.,Extended Research,2020-10-06 21:01:59,2.0,3.0,1.0,2017-05-25 02:27:36,2017-06-30 03:53:59,SeanMcOwen/FinanceAndPython.com-EconomicFoundations,inactive,,
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,,
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,,
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,,
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,,
spartan,https://github.com/rigtorp/spartan,NEW,Extended Research,2021-05-08 13:01:46,166.0,62.0,1.0,2012-11-22 04:29:42,2015-10-31 03:46:06,rigtorp/spartan,inactive,,2021-04-21 01:25:51.827641
Backtests,https://github.com/AlgoTraders/stock-analysis-engine,Trading data and algorithms.,Extended Research,2021-05-20 17:12:10,640.0,173.0,3.0,2018-09-16 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,,
NLP Finance Papers,https://github.com/chenbowen184/Research_Documents_Curation_with_NLP,Curating quantitative finance papers using machine learning.,Extended Research,2021-02-27 06:33:23,8.0,9.0,1.0,2018-10-11 20:32:37,2018-12-24 23:27:55,chen-bowen/Research_Documents_Curation_with_NLP,inactive,,
Deep Portfolio,https://github.com/DLColumbia/DL_forFinance,Deep learning for finance Predict volume of bonds.,Extended Research,2021-01-12 11:48:27,27.0,19.0,2.0,2018-05-08 19:34:17,2018-05-09 15:39:25,DLColumbia/DL_forFinance,inactive,,
tribeca,https://github.com/michaelgrosner/tribeca,NEW,Extended Research,2021-05-22 21:53:33,3522.0,897.0,22.0,2015-07-07 18:40:45,2018-02-26 18:01:13,michaelgrosner/tribeca,inactive,,2021-04-21 01:25:51.827641
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
High Frequency,https://github.com/cswaney/prickle,A Python toolkit for high-frequency trade research.,Extended Research,2021-05-17 16:19:32,25.0,17.0,2.0,2016-07-06 20:32:21,2018-06-09 10:53:51,cswaney/prickle,inactive,,
Applied Corporate Finance,https://github.com/chenbowen184/Data_Science_in_Applied_Corporate_Finance,Studies the empirical behaviours in stock market.,Extended Research,2021-02-19 13:40:37,8.0,9.0,1.0,2018-01-29 05:14:52,2018-07-19 06:25:36,chen-bowen/Data_Science_in_Applied_Corporate_Finance,inactive,,
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,,,
SumZeroTrading,https://github.com/rterp/SumZeroTrading,NEW,Extended Research,2021-04-11 21:34:51,128.0,44.0,1.0,2016-01-19 05:43:31,2018-08-30 22:44:52,rterp/SumZeroTrading,inactive,,2021-04-21 01:25:51.827641
hummingbot_chinese,https://github.com/CoinAlpha/hummingbot_chinese,NEW,Extended Research,2021-05-22 01:06:40,148.0,27.0,5.0,2019-06-05 22:53:04,2021-05-21 00:36:05,CoinAlpha/hummingbot_chinese,active,,2021-04-21 01:25:51.827641
Corporate Finance,https://github.com/SeanMcOwen/FinanceAndPython.com-CorporateFinance,Basic corporate finance.,Extended Research,2021-01-16 19:01:31,9.0,5.0,1.0,2017-09-09 03:35:24,2017-09-09 23:04:48,SeanMcOwen/FinanceAndPython.com-CorporateFinance,inactive,,
Stock-Prediction,https://github.com/Ronak-59/Stock-Prediction,NEW,Factor and Risk Analysis,2021-05-21 17:30:59,138.0,67.0,2.0,2018-03-18 04:54:45,2020-02-28 11:43:07,Ronak-59/Stock-Prediction,active,,37:06.3
Machine_learning_In_Finance,https://github.com/chaudharigauravi/Machine_learning_In_Finance,NEW,Factor and Risk Analysis,2020-11-27 19:23:33,8.0,3.0,1.0,2019-08-03 04:04:51,2019-08-03 04:05:32,chaudharigauravi/Machine_learning_In_Finance,active,,23:57.7
stock-market-analysis-using-python-numpy-pandas,https://github.com/Ashishsinha10/stock-market-analysis-using-python-numpy-pandas,NEW,Factor and Risk Analysis,2021-03-21 08:50:27,8.0,5.0,1.0,2018-04-10 05:15:49,2018-04-10 05:28:54,Ashishsinha10/stock-market-analysis-using-python-numpy-pandas,inactive,,23:57.7
VaR GaN,https://github.com/hamaadshah/market_risk_gan_keras,Estimate Value-at-Risk for market risk management using Keras and TensorFlow.,Factor and Risk Analysis,2021-05-12 13:42:40,43.0,28.0,1.0,2018-08-06 16:09:44,2020-11-22 19:02:07,hamaadshah/market_risk_gan_tensorflow,active,,
Factor Analysis,https://github.com/alpha-miner/alpha-mind/tree/master/notebooks,Factor strategy notebooks.,Factor and Risk Analysis,2021-05-03 00:32:55,174.0,59.0,3.0,2017-05-01 07:36:54,2021-04-07 15:25:27,alpha-miner/alpha-mind,active,,
Factor Analysis,https://github.com/garvit-kudesia91/factor_analysis/blob/master/Factor%20Analysis%20of%20Mutual%20Funds.ipynb,Factor analysis for mutual funds.,Factor and Risk Analysis,2020-12-21 14:26:46,3.0,4.0,1.0,2018-03-13 07:39:20,2018-03-13 07:42:36,garvit-kudesia91/factor_analysis,inactive,,
AlphaTrading,https://github.com/jerryxyx/AlphaTrading,NEW,Factor and Risk Analysis,2021-05-17 14:26:06,149.0,76.0,1.0,2018-05-18 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 07:04:38,4.0,5.0,1.0,2017-08-07 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
Pyfolio,https://github.com/quantopian/pyfolio,Portfolio and risk analytics in Python.,Factor and Risk Analysis,2021-05-23 00:28:15,3781.0,1200.0,42.0,2015-06-01 15:31:39,2020-02-28 17:30:19,quantopian/pyfolio,active,,
Python for Finance,https://github.com/yhilpisch/py4fi/tree/master/jupyter36,Various financial notebooks.,Factor and Risk Analysis,2021-05-22 22:40:31,1312.0,795.0,1.0,2014-12-15 11:23:34,2018-07-10 06:38:12,yhilpisch/py4fi,inactive,,
CAPM,https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%202%2C%20CAPM.ipynb,Expected returns using CAPM.,Factor and Risk Analysis,2021-03-01 13:53:42,31.0,18.0,1.0,2016-05-10 11:03:48,2016-05-17 03:44:56,RJT1990/Active-Portfolio-Management-Notes,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,,,
Applied Corporate Finance,https://github.com/chenbowen184/Data_Science_in_Applied_Corporate_Finance,Studies the empirical behaviours in stock market.,Extended Research,2021-02-19 13:40:37,8.0,9.0,1.0,2018-01-29 05:14:52,2018-07-19 06:25:36,chen-bowen/Data_Science_in_Applied_Corporate_Finance,inactive,,
High Frequency,https://github.com/cswaney/prickle,A Python toolkit for high-frequency trade research.,Extended Research,2021-05-17 16:19:32,25.0,17.0,2.0,2016-07-06 20:32:21,2018-06-09 10:53:51,cswaney/prickle,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
tribeca,https://github.com/michaelgrosner/tribeca,NEW,Extended Research,2021-05-22 21:53:33,3522.0,897.0,22.0,2015-07-07 18:40:45,2018-02-26 18:01:13,michaelgrosner/tribeca,inactive,,2021-04-21 01:25:51.827641
Deep Portfolio,https://github.com/DLColumbia/DL_forFinance,Deep learning for finance Predict volume of bonds.,Extended Research,2021-01-12 11:48:27,27.0,19.0,2.0,2018-05-08 19:34:17,2018-05-09 15:39:25,DLColumbia/DL_forFinance,inactive,,
NLP Finance Papers,https://github.com/chenbowen184/Research_Documents_Curation_with_NLP,Curating quantitative finance papers using machine learning.,Extended Research,2021-02-27 06:33:23,8.0,9.0,1.0,2018-10-11 20:32:37,2018-12-24 23:27:55,chen-bowen/Research_Documents_Curation_with_NLP,inactive,,
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,,
MIDAS,https://github.com/Stream-AD/MIDAS,NEW,Extended Research,2021-05-15 16:22:28,610.0,71.0,3.0,2019-10-23 03:50:50,2021-04-11 02:23:01,Stream-AD/MIDAS,active,,2021-04-21 01:25:51.827641
Backtests,https://github.com/AlgoTraders/stock-analysis-engine,Trading data and algorithms.,Extended Research,2021-05-20 17:12:10,640.0,173.0,3.0,2018-09-16 20:00:36,2020-09-05 13:01:05,AlgoTraders/stock-analysis-engine,active,,
Critical Transitions,https://github.com/ryanholbrook/critical-transitions,Detecting critical transitions in financial networks with topological data analysis.,Extended Research,2021-04-19 09:15:38,11.0,3.0,1.0,2019-01-22 10:59:50,2019-03-12 18:35:02,ryanholbrook/critical-transitions,inactive,,
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,,
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,,
Economic Foundations,https://github.com/SeanMcOwen/FinanceAndPython.com-EconomicFoundations,Basic economic models.,Extended Research,2020-10-06 21:01:59,2.0,3.0,1.0,2017-05-25 02:27:36,2017-06-30 03:53:59,SeanMcOwen/FinanceAndPython.com-EconomicFoundations,inactive,,
Mathematical Finance,https://github.com/Auquan/Tutorials,Notebooks for math and financial tutorials.,Extended Research,2021-05-06 11:40:27,680.0,439.0,9.0,2017-01-21 11:24:18,2020-08-01 17:03:32,Auquan/Tutorials,active,,
M&A,https://github.com/atulram/Finance-and-Stocks,Mergers and Acquisitions.,Extended Research,2020-12-21 14:42:43,3.0,3.0,1.0,2019-01-19 18:16:47,2019-02-18 16:57:19,atulram/Finance-and-Stocks,inactive,,
Commodity,https://github.com/felipessalvatore/fin2vec/blob/master/src/Commodity2BR.ipynb,Commodity influence over Brazilian stocks.,Extended Research,,,,,,,felipessalvatore/fin2vec,,,
Liquidity and Momentum,https://github.com/mrefermat/quant_finance,Various factors and portfolio constructions.,Extended Research,2021-04-20 13:01:20,30.0,17.0,1.0,2018-08-11 22:59:53,2019-11-12 04:49:01,mrefermat/quant_finance,active,,
448Project,https://github.com/HujiaYuYoyo/448Project,NEW,Extended Research,2021-04-23 14:39:33,66.0,44.0,4.0,2018-04-14 21:19:21,2018-06-10 09:29:37,HujiaYuYoyo/448Project,inactive,,2021-04-21 01:25:51.827641
kungfu,https://github.com/kungfu-origin/kungfu,NEW,Extended Research,2021-05-21 11:40:08,2355.0,860.0,7.0,2017-11-15 06:54:01,2020-06-03 12:04:41,kungfu-origin/kungfu,active,,2021-04-21 01:25:51.827641
spartan,https://github.com/rigtorp/spartan,NEW,Extended Research,2021-05-08 13:01:46,166.0,62.0,1.0,2012-11-22 04:29:42,2015-10-31 03:46:06,rigtorp/spartan,inactive,,2021-04-21 01:25:51.827641
tectonicdb,https://github.com/0b01/tectonicdb,NEW,Extended Research,2021-05-20 22:19:22,343.0,54.0,10.0,2017-10-03 00:34:01,2020-09-08 23:02:20,0b01/tectonicdb,active,,2021-04-21 01:25:51.827641
graph-fraud-detection-papers,https://github.com/safe-graph/graph-fraud-detection-papers,NEW,Extended Research,2021-05-22 08:25:40,378.0,68.0,2.0,2019-11-21 05:39:23,2021-05-11 04:34:17,safe-graph/graph-fraud-detection-papers,active,,2021-04-21 01:25:51.827641
Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras,https://github.com/curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras,NEW,Extended Research,2021-05-12 09:36:45,346.0,238.0,1.0,2017-06-09 13:58:13,2019-06-28 09:27:45,curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras,active,,2021-04-21 01:25:51.827641
tradingrrl,https://github.com/darden1/tradingrrl,NEW,Extended Research,2021-05-05 10:46:14,60.0,33.0,1.0,2017-03-05 07:20:56,2018-11-14 13:19:52,darden1/tradingrrl,inactive,,2021-04-21 01:25:51.827641
beymani,https://github.com/pranab/beymani,NEW,Extended Research,2021-05-21 02:36:21,112.0,59.0,0.0,2012-01-04 07:22:01,2021-05-08 15:21:52,pranab/beymani,active,,2021-04-21 01:25:51.827641
Fraud-detection-using-deep-learning,https://github.com/aaxwaz/Fraud-detection-using-deep-learning,NEW,Extended Research,2021-03-10 20:47:39,103.0,56.0,1.0,2017-06-18 12:35:24,2017-12-06 13:51:54,aaxwaz/Fraud-detection-using-deep-learning,inactive,,2021-04-21 01:25:51.827641
bot18,https://github.com/carlos8f/bot18,NEW,Extended Research,2021-05-15 18:12:08,164.0,31.0,2.0,2018-05-23 14:22:25,2018-10-17 08:06:21,carlos8f/bot18,inactive,,2021-04-21 01:25:51.827641
kafka-fraud-detector,https://github.com/florimondmanca/kafka-fraud-detector,NEW,Extended Research,2021-04-23 11:08:55,60.0,44.0,3.0,2018-09-13 17:36:49,2019-04-29 22:04:23,florimondmanca/kafka-fraud-detector,inactive,,2021-04-21 01:25:51.827641
math-finance-cheat-sheet,https://github.com/daleroberts/math-finance-cheat-sheet,NEW,Extended Research,2021-05-12 21:24:49,191.0,30.0,1.0,2014-05-02 00:19:01,2016-11-16 05:57:09,daleroberts/math-finance-cheat-sheet,inactive,,2021-04-21 01:25:51.827641
fingerprintjs,https://github.com/fingerprintjs/fingerprintjs,NEW,Extended Research,2021-05-22 21:42:11,13629.0,1629.0,66.0,2015-02-11 08:49:54,2021-05-12 02:28:17,fingerprintjs/fingerprintjs,active,,2021-04-21 01:25:51.827641
FX-1-Minute-Data,https://github.com/philipperemy/FX-1-Minute-Data,NEW,Extended Research,2021-05-20 08:29:05,286.0,110.0,3.0,2017-05-22 03:24:35,2020-04-08 03:32:23,philipperemy/FX-1-Minute-Data,active,,2021-04-21 01:25:51.827641
FX-Trading-with-Python-and-Oanda,https://github.com/anthonyng2/FX-Trading-with-Python-and-Oanda,NEW,Extended Research,2021-02-20 20:49:53,57.0,42.0,1.0,2017-02-23 07:48:12,2017-08-14 03:21:30,anthonyng2/FX-Trading-with-Python-and-Oanda,inactive,,2021-04-21 01:25:51.827641
Fraud_Detection_Techniques,https://github.com/wmlba/Fraud_Detection_Techniques,NEW,Extended Research,2021-05-13 07:14:15,62.0,34.0,1.0,2019-02-14 02:27:13,2020-06-14 23:36:47,wmlba/Fraud_Detection_Techniques,active,,2021-04-21 01:25:51.827641
fx_systrade,https://github.com/ryogrid/fx_systrade,NEW,Extended Research,2021-05-09 01:04:16,81.0,29.0,2.0,2015-07-24 11:46:28,2020-10-23 10:17:01,ryogrid/fx_systrade,active,,2021-04-21 01:25:51.827641
getIPIntel,https://github.com/blackdotsh/getIPIntel,NEW,Extended Research,2021-05-15 08:35:04,152.0,31.0,4.0,2015-10-02 21:40:50,2021-01-24 01:09:18,blackdotsh/getIPIntel,active,,2021-04-21 01:25:51.827641
FraudDetection-Microservices,https://github.com/melofred/FraudDetection-Microservices,NEW,Extended Research,2021-02-16 00:13:03,85.0,49.0,1.0,2016-06-08 23:24:21,2017-01-18 17:52:01,melofred/FraudDetection-Microservices,inactive,,2021-04-21 01:25:51.827641
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,2021-05-18 19:25:08,92.0,59.0,6.0,2019-05-17 17:12:46,2021-05-18 19:25:06,awslabs/fraud-detection-using-machine-learning,active,,2021-04-21 01:25:51.827641
fraud-detection-demo,https://github.com/afedulov/fraud-detection-demo,NEW,Extended Research,2021-05-21 10:33:08,169.0,70.0,2.0,2019-11-04 09:23:17,2021-01-05 19:28:04,afedulov/fraud-detection-demo,active,,2021-04-21 01:25:51.827641
StockPredictionRNN,https://github.com/dzitkowskik/StockPredictionRNN,NEW,Extended Research,2021-05-22 11:05:01,496.0,215.0,2.0,2015-11-26 19:00:35,2016-05-21 15:51:22,dzitkowskik/StockPredictionRNN,inactive,,2021-04-21 01:25:51.827641
talkingdata-adtracking-fraud-detection,https://github.com/flowlight0/talkingdata-adtracking-fraud-detection,NEW,Extended Research,2021-04-22 06:10:23,203.0,54.0,1.0,2018-03-21 11:27:31,2018-06-10 15:30:50,flowlight0/talkingdata-adtracking-fraud-detection,inactive,,2021-04-21 01:25:51.827641
roq-samples,https://github.com/roq-trading/roq-samples,NEW,Extended Research,2021-05-22 06:16:34,59.0,24.0,3.0,2018-03-27 04:19:09,2021-05-22 06:14:42,roq-trading/roq-samples,active,,2021-05-05 01:50:21.293278
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
Computational Finance,https://github.com/lnsongxf/Applied_Computational_Economics_and_Finance,Applied Computational Economics and Finance.,Extended Research,2021-05-21 02:57:11,13.0,14.0,1.0,2017-08-27 03:46:33,2017-08-26 04:26:04,lnsongxf/Applied_Computational_Economics_and_Finance,inactive,,
UGFraud,https://github.com/safe-graph/UGFraud,NEW,Extended Research,2021-05-24 11:06:31,55.0,15.0,2.0,2020-06-01 22:34:14,2021-04-11 19:01:44,safe-graph/UGFraud,active,,2021-05-26 02:41:08.838631
High-Frequency-Trading-Model-with-IB,https://github.com/jamesmawm/High-Frequency-Trading-Model-with-IB,NEW,Extended Research,2021-05-22 00:42:59,1846.0,550.0,2.0,2014-05-18 19:20:13,2019-06-21 14:58:07,jamesmawm/High-Frequency-Trading-Model-with-IB,active,,2021-04-21 01:25:51.827641
HFT_Bitcoin,https://github.com/ghgr/HFT_Bitcoin,NEW,Extended Research,2021-05-07 12:27:55,72.0,23.0,1.0,2017-07-27 07:11:48,2017-08-21 14:50:35,ghgr/HFT_Bitcoin,inactive,,2021-04-21 01:25:51.827641
awesome-fraud-detection-papers,https://github.com/benedekrozemberczki/awesome-fraud-detection-papers,NEW,Extended Research,2021-05-19 14:23:50,869.0,184.0,4.0,2019-05-27 10:23:22,2021-04-03 10:45:01,benedekrozemberczki/awesome-fraud-detection-papers,active,,2021-04-21 01:25:51.827641
Trading-Bot,https://github.com/RaidasGrisk/Trading-Bot,NEW,Extended Research,2021-05-10 21:09:44,76.0,30.0,1.0,2017-11-27 21:20:40,2018-01-22 21:00:57,RaidasGrisk/Trading-Bot,inactive,,2021-04-21 01:25:51.827641
fecon236,https://github.com/MathSci/fecon236,NEW,Extended Research,2021-05-05 08:23:20,75.0,44.0,2.0,2018-04-05 19:34:51,2019-01-11 08:07:56,MathSci/fecon236,inactive,,2021-04-21 01:25:51.827641
wondertrader,https://github.com/wondertrader/wondertrader,NEW,Extended Research,2021-05-22 00:10:14,257.0,66.0,2.0,2020-03-30 05:43:52,2021-04-14 08:07:18,wondertrader/wondertrader,active,,2021-04-21 01:25:51.827641
algotrading,https://github.com/ivopetiz/algotrading,NEW,Extended Research,2021-05-22 22:08:43,317.0,80.0,3.0,2018-07-10 22:10:41,2021-05-22 22:08:16,ivopetiz/algotrading,active,,2021-04-21 01:25:51.827641
TradingStrategies,https://github.com/SoftAlgoTrade/TradingStrategies,NEW,Extended Research,2021-05-16 20:09:45,117.0,55.0,1.0,2017-05-22 20:46:35,2017-10-29 11:09:37,SoftAlgoTrade/TradingStrategies,inactive,,2021-04-21 01:25:51.827641
exchange-core,https://github.com/mzheravin/exchange-core,NEW,Extended Research,2021-05-22 11:08:20,895.0,411.0,7.0,2018-08-05 18:25:16,2021-04-25 18:24:27,mzheravin/exchange-core,active,,2021-04-21 01:25:51.827641
fraud-detection-papers,https://github.com/IPL/fraud-detection-papers,NEW,Extended Research,2021-05-22 22:10:10,131.0,31.0,1.0,2017-09-29 02:47:54,2021-02-03 09:47:27,IPL/fraud-detection-papers,active,,2021-04-21 01:25:51.827641
Krypto-trading-bot,https://github.com/ctubio/Krypto-trading-bot,NEW,Extended Research,2021-05-22 15:32:34,2236.0,610.0,49.0,2017-06-13 20:15:54,2021-05-07 12:56:36,ctubio/Krypto-trading-bot,active,,2021-04-21 01:25:51.827641
PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop,https://github.com/TheSnowGuru/PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop,NEW,Extended Research,2021-05-22 18:45:33,132.0,38.0,2.0,2020-07-05 07:59:38,2021-05-05 20:28:46,TheSnowGuru/PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop,active,,2021-04-21 01:25:51.827641
wtpy,https://github.com/wondertrader/wtpy,NEW,Extended Research,2021-05-19 14:36:25,69.0,21.0,1.0,2020-06-18 01:43:25,2021-04-14 08:51:54,wondertrader/wtpy,active,,2021-04-21 01:25:51.827641
wattnet-fx-trading,https://github.com/Zymrael/wattnet-fx-trading,NEW,Extended Research,2021-05-22 08:30:01,60.0,12.0,1.0,2019-09-13 08:44:27,2020-08-19 05:49:12,Zymrael/wattnet-fx-trading,active,,2021-04-21 01:25:51.827641
DGFraud,https://github.com/safe-graph/DGFraud,NEW,Extended Research,2021-05-20 14:36:12,308.0,83.0,4.0,2019-11-22 14:02:36,2020-12-26 16:32:18,safe-graph/DGFraud,active,,2021-04-21 01:25:51.827641
roq-api,https://github.com/roq-trading/roq-api,NEW,Extended Research,2021-05-22 11:20:24,153.0,46.0,1.0,2018-03-05 08:37:57,2021-04-15 04:00:44,roq-trading/roq-api,active,,2021-04-21 01:25:51.827641
system,https://github.com/BillRun/system,NEW,Extended Research,2021-02-01 12:13:52,84.0,55.0,8.0,2013-04-11 16:14:53,2020-07-02 15:32:31,BillRun/system,active,,2021-04-21 01:25:51.827641
math-php,https://github.com/markrogoyski/math-php,NEW,Extended Research,2021-05-21 21:32:13,1909.0,200.0,17.0,2016-04-03 17:57:14,2021-05-09 19:53:17,markrogoyski/math-php,active,,2021-04-21 01:25:51.827641
Fraud_Detector,https://github.com/kskk02/Fraud_Detector,NEW,Extended Research,2021-05-19 15:04:04,58.0,35.0,1.0,2014-07-03 20:52:51,2015-01-15 22:03:04,kskk02/Fraud_Detector,inactive,,2021-04-21 01:25:51.827641
gym-fx,https://github.com/harveybc/gym-fx,NEW,Extended Research,2021-05-19 00:21:40,156.0,42.0,1.0,2017-02-21 21:04:09,2020-06-03 21:03:14,harveybc/gym-fx,active,,2021-04-21 01:25:51.827641
fraud-detection,https://github.com/yazanobeidi/fraud-detection,NEW,Extended Research,2021-04-06 09:02:18,61.0,34.0,1.0,2017-08-04 15:03:47,2017-08-05 15:38:45,yazanobeidi/fraud-detection,inactive,,2021-04-21 01:25:51.827641
ml-fraud-detection,https://github.com/georgymh/ml-fraud-detection,NEW,Extended Research,2021-04-23 23:59:07,121.0,92.0,2.0,2017-04-27 01:48:35,2018-01-31 21:17:26,georgymh/ml-fraud-detection,inactive,,2021-04-21 01:25:51.827641
TalkingData,https://github.com/CuteChibiko/TalkingData,NEW,Extended Research,2021-04-27 08:30:50,100.0,39.0,1.0,2018-05-09 15:17:45,2018-05-11 01:32:26,CuteChibiko/TalkingData,inactive,,2021-04-21 01:25:51.827641
crypto-database,https://github.com/ivopetiz/crypto-database,NEW,Extended Research,2021-05-08 01:46:09,57.0,24.0,2.0,2018-02-22 21:34:11,2019-10-04 13:06:18,ivopetiz/crypto-database,active,,2021-04-21 01:25:51.827641
InteractiveBrokers-Algo-System,https://github.com/rediar/InteractiveBrokers-Algo-System,NEW,Extended Research,2021-05-07 19:42:59,154.0,66.0,1.0,2018-01-21 03:09:41,2018-10-25 02:56:15,rediar/InteractiveBrokers-Algo-System,inactive,,2021-04-21 01:25:51.827641
TradeFinexLive,https://github.com/XinFinOrg/TradeFinexLive,NEW,Factor and Risk Analysis,2021-03-18 09:48:52,5.0,12.0,8.0,2018-03-21 10:05:22,2021-03-18 09:48:32,XinFinOrg/TradeFinexLive,active,,23:57.7
Convex Optimisation,https://github.com/ssanderson/convex-optimization-for-finance/blob/master/notebooks/Main.ipynb,Convex Optimization for Finance.,Factor and Risk Analysis,2021-04-08 19:02:22,18.0,10.0,1.0,2018-06-26 20:36:47,2019-10-22 21:56:46,ssanderson/convex-optimization-for-finance,active,,
VaR,https://github.com/willb/var-notebook/blob/master/var-notebook/var-pdfs.ipynb,Value-at-risk calculations.,Factor and Risk Analysis,2021-03-31 02:06:48,10.0,9.0,1.0,2016-11-15 19:24:17,2017-01-14 21:19:30,willb/var-notebook,inactive,,
-L-,https://github.com/jettbrains/-L-,NEW,Factor and Risk Analysis,2021-03-15 03:05:00,6.0,16.0,1.0,2019-10-28 21:50:26,2019-10-28 21:51:19,jettbrains/-L-,active,,23:57.7
Quantropy,https://github.com/AlainDaccache/Quantropy,NEW,Factor and Risk Analysis,2021-05-18 13:13:27,24.0,4.0,2.0,2020-06-13 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,,
Performance Analysis,https://github.com/quantopian/alphalens,Performance analysis of predictive (alpha) stock factors.,Factor and Risk Analysis,2021-05-22 11:16:23,1920.0,729.0,17.0,2016-06-03 21:49:15,2020-04-27 18:40:41,quantopian/alphalens,active,,
Quant Finance,https://github.com/mrefermat/quant_finance,General quant repository.,Factor and Risk Analysis,2021-04-20 13:01:20,30.0,17.0,1.0,2018-08-11 22:59:53,2019-11-12 04:49:01,mrefermat/quant_finance,active,,
Risk and Return,https://github.com/PyDataBlog/Python-for-Data-Science/tree/master/Tutorials,Riskiness of portfolios and assets.,Factor and Risk Analysis,2021-05-22 15:29:07,146.0,62.0,2.0,2017-09-12 13:35:09,2020-08-06 12:35:44,PyDataBlog/Python-for-Data-Science,active,,
Risk Basic,https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%203%2C%20Risk.ipynb,Active portfolio risk management .,Factor and Risk Analysis,2021-03-01 13:53:42,31.0,18.0,1.0,2016-05-10 11:03:48,2016-05-17 03:44:56,RJT1990/Active-Portfolio-Management-Notes,inactive,,
MagentoExtensions,https://github.com/5mehulhelp5/MagentoExtensions,NEW,Fixed Income,2021-04-28 18:58:25,107.0,110.0,2.0,2014-07-03 05:45:54,2017-11-24 16:15:49,5mehulhelp5/MagentoExtensions,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
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,,
rating_history,https://github.com/govwiki/rating_history,NEW,Fixed Income,2021-05-02 23:24:59,27.0,14.0,1.0,2017-11-23 22:52:14,2017-12-03 20:42:49,govwiki/rating_history,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,,
woe,https://github.com/boredbird/woe,NEW,Fixed Income,2021-05-22 04:02:50,228.0,96.0,1.0,2017-09-11 07:15:04,2018-03-01 10:45:40,boredbird/woe,inactive,,24:33.4
Risk and Return,https://github.com/PyDataBlog/Python-for-Data-Science/tree/master/Tutorials,Riskiness of portfolios and assets.,Factor and Risk Analysis,2021-05-22 15:29:07,146.0,62.0,2.0,2017-09-12 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,2021-04-20 13:01:20,30.0,17.0,1.0,2018-08-11 22:59:53,2019-11-12 04:49:01,mrefermat/quant_finance,active,,
Performance Analysis,https://github.com/quantopian/alphalens,Performance analysis of predictive (alpha) stock factors.,Factor and Risk Analysis,2021-05-22 11:16:23,1920.0,729.0,17.0,2016-06-03 21:49:15,2020-04-27 18:40:41,quantopian/alphalens,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,2021-05-18 13:13:27,24.0,4.0,2.0,2020-06-13 15:34:25,2021-03-15 01:49:23,AlainDaccache/Quantropy,active,,2021-05-05 01:50:30.163258
-L-,https://github.com/jettbrains/-L-,NEW,Factor and Risk Analysis,2021-03-15 03:05:00,6.0,16.0,1.0,2019-10-28 21:50:26,2019-10-28 21:51:19,jettbrains/-L-,active,,23:57.7
VaR,https://github.com/willb/var-notebook/blob/master/var-notebook/var-pdfs.ipynb,Value-at-risk calculations.,Factor and Risk Analysis,2021-03-31 02:06:48,10.0,9.0,1.0,2016-11-15 19:24:17,2017-01-14 21:19:30,willb/var-notebook,inactive,,
Convex Optimisation,https://github.com/ssanderson/convex-optimization-for-finance/blob/master/notebooks/Main.ipynb,Convex Optimization for Finance.,Factor and Risk Analysis,2021-04-08 19:02:22,18.0,10.0,1.0,2018-06-26 20:36:47,2019-10-22 21:56:46,ssanderson/convex-optimization-for-finance,active,,
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,,
Stock-Prediction,https://github.com/Ronak-59/Stock-Prediction,NEW,Factor and Risk Analysis,2021-05-21 17:30:59,138.0,67.0,2.0,2018-03-18 04:54:45,2020-02-28 11:43:07,Ronak-59/Stock-Prediction,active,,37:06.3
Pyfolio,https://github.com/quantopian/pyfolio,Portfolio and risk analytics in Python.,Factor and Risk Analysis,2021-05-23 00:28:15,3781.0,1200.0,42.0,2015-06-01 15:31:39,2020-02-28 17:30:19,quantopian/pyfolio,active,,
simulate,https://github.com/leolle/simulate,NEW,Factor and Risk Analysis,2021-03-23 13:34:53,11.0,2.0,1.0,2017-06-04 15:18:21,2018-11-11 14:03:40,leolle/simulate,inactive,,23:57.7
Various Risk Measures,https://github.com/Jorgencr/Alternative-and-Responsible-Investments/blob/master/Final_masterfile.ipynb,Risk measures and factors for alternative and responsible investments.,Factor and Risk Analysis,2020-11-04 07:04:38,4.0,5.0,1.0,2017-08-07 14:44:32,2017-08-08 22:52:11,Jorgencr/Alternative-and-Responsible-Investments,inactive,,
AlphaTrading,https://github.com/jerryxyx/AlphaTrading,NEW,Factor and Risk Analysis,2021-05-17 14:26:06,149.0,76.0,1.0,2018-05-18 22:09:52,2018-08-07 18:05:37,jerryxyx/AlphaTrading,inactive,,37:06.3
Factor Analysis,https://github.com/garvit-kudesia91/factor_analysis/blob/master/Factor%20Analysis%20of%20Mutual%20Funds.ipynb,Factor analysis for mutual funds.,Factor and Risk Analysis,2020-12-21 14:26:46,3.0,4.0,1.0,2018-03-13 07:39:20,2018-03-13 07:42:36,garvit-kudesia91/factor_analysis,inactive,,
Factor Analysis,https://github.com/alpha-miner/alpha-mind/tree/master/notebooks,Factor strategy notebooks.,Factor and Risk Analysis,2021-05-03 00:32:55,174.0,59.0,3.0,2017-05-01 07:36:54,2021-04-07 15:25:27,alpha-miner/alpha-mind,active,,
VaR GaN,https://github.com/hamaadshah/market_risk_gan_keras,Estimate Value-at-Risk for market risk management using Keras and TensorFlow.,Factor and Risk Analysis,2021-05-12 13:42:40,43.0,28.0,1.0,2018-08-06 16:09:44,2020-11-22 19:02:07,hamaadshah/market_risk_gan_tensorflow,active,,
stock-market-analysis-using-python-numpy-pandas,https://github.com/Ashishsinha10/stock-market-analysis-using-python-numpy-pandas,NEW,Factor and Risk Analysis,2021-03-21 08:50:27,8.0,5.0,1.0,2018-04-10 05:15:49,2018-04-10 05:28:54,Ashishsinha10/stock-market-analysis-using-python-numpy-pandas,inactive,,23:57.7
Machine_learning_In_Finance,https://github.com/chaudharigauravi/Machine_learning_In_Finance,NEW,Factor and Risk Analysis,2020-11-27 19:23:33,8.0,3.0,1.0,2019-08-03 04:04:51,2019-08-03 04:05:32,chaudharigauravi/Machine_learning_In_Finance,active,,23:57.7
Python for Finance,https://github.com/yhilpisch/py4fi/tree/master/jupyter36,Various financial notebooks.,Factor and Risk Analysis,2021-05-22 22:40:31,1312.0,795.0,1.0,2014-12-15 11:23:34,2018-07-10 06:38:12,yhilpisch/py4fi,inactive,,
Corporate Bonds,https://github.com/ishank011/gs-quantify-bond-prediction,Predicting the buying and selling volume of the corporate bonds.,Fixed Income,2021-01-03 21:46:55,7.0,5.0,1.0,2017-09-27 19:57:13,2017-09-27 20:00:29,ishank011/gs-quantify-bond-prediction,inactive,,
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,2021-05-20 11:20:12,590.0,134.0,3.0,2016-02-14 00:47:32,2021-02-08 21:35:40,ScottfreeLLC/AlphaPy,active,4.0,39:24.6
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,2021-05-23 00:23:28,397.0,129.0,1.0,2018-07-22 08:14:46,2021-05-18 12:18:31,Hvass-Labs/FinanceOps,active,3.0,
Pattern-Recognition-for-Forex-Trading,https://github.com/PythonProgramming/Pattern-Recognition-for-Forex-Trading,repo for article [pattern recognization for forex trading](https://pythonprogramming.net/machine-learning-pattern-recognition-algorithmic-forex-stock-trading/) not very scalable and not maintained,Other Models,2021-05-13 10:31:49,177.0,92.0,1.0,2015-03-26 02:22:03,2015-03-26 02:33:51,PythonProgramming/Pattern-Recognition-for-Forex-Trading,inactive,1.0,39:24.6
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,2021-05-19 22:18:51,286.0,119.0,1.0,2018-06-29 21:21:17,2019-02-18 12:34:54,jjakimoto/finance_ml,inactive,1.0,39:24.6
surpriver,https://github.com/tradytics/surpriver,Machine learning algo to detect anomaly in equities data. Uses sklearn [IsolationForest](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.IsolationForest.html) model and price/volume based technical signals as features using [ta](https://github.com/bukosabino/ta) library. Opensourced by [tradytics](https://tradytics.com/). Code structures are less extensible,Other Models,2021-05-21 13:30:52,1219.0,229.0,6.0,2020-08-30 07:56:22,2020-09-21 04:32:05,tradytics/surpriver,active,3.0,39:24.6
CryptoBot,https://github.com/AdeelMufti/CryptoBot,Hard fork of [bitpredit](https://github.com/cbyn/bitpredict) and form the trading strategy as a classification problem with -1 (sell) 0 (hold) 1 (buy). Models used are XGBClassifier/RandomForest/GradientBoosting. Not mentained,Other Models,2021-05-21 16:30:04,242.0,95.0,1.0,2017-01-17 12:44:52,2017-01-17 12:48:17,AdeelMufti/CryptoBot,inactive,2.0,39:24.6
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,2021-05-23 01:15:34,961.0,360.0,2.0,2017-02-12 04:50:44,2021-02-04 03:48:33,robertmartin8/MachineLearningStocks,active,3.0,
mosquito,https://github.com/miro-ka/mosquito,base framework trading bot for crypto. Stores data in local mongodb instance and supports backtest and live trading on [poloniex](https://poloniex.com/) and [bittrex](https://bittrex.com/) which are 12-15th ranked crypto exchanges by volume. Leverage [talib](https://github.com/mrjbq7/ta-lib) for ta data and [plotly](https://github.com/plotly/plotly.py) for visualization,Other Models,2021-05-17 22:51:03,235.0,45.0,2.0,2017-06-18 19:57:17,2021-03-14 22:22:00,miro-ka/mosquito,active,3.0,39:24.6
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,2021-05-22 02:39:59,2187.0,698.0,1.0,2016-09-12 18:38:17,2018-08-29 20:27:19,anfederico/clairvoyant,inactive,3.0,
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,2021-05-21 15:34:30,205.0,121.0,1.0,2017-07-11 09:09:15,2018-02-21 05:36:35,anthonyng2/Machine-Learning-For-Finance,inactive,2.0,39:24.6
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,2021-05-18 21:07:16,189.0,125.0,4.0,2018-03-15 06:28:00,2021-01-14 15:58:03,PacktPublishing/Machine-Learning-for-Finance,active,3.0,39:24.6
Speculator,https://github.com/amicks/Speculator,python code to predict crypto prices using machine learning models. Two models used here tensorflow DNNClassifier and sklearn randomforest. Exposes the functionality as web services api using flask. Some idea are based on this paper [predicting the direction of stock market prices](https://arxiv.org/pdf/1605.00003.pdf),Other Models,2021-05-14 21:25:07,104.0,31.0,2.0,2017-09-03 17:43:03,2018-09-12 18:58:38,amicks/Speculator,inactive,3.0,39:24.6
Machine-Learning-for-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,2021-05-20 15:17:59,184.0,101.0,5.0,2018-12-06 11:35:08,2021-01-18 06:40:53,PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Bots-with-Python,active,3.0,39:24.6
Stock.Indicators,https://github.com/DaveSkender/Stock.Indicators,list of technical indicators implemented in c#. Full list and explanation available [here](https://daveskender.github.io/Stock.Indicators/docs/INDICATORS.html). This list contains several indicators that ta-lib does not cover,Other Models,2021-05-23 01:16:28,208.0,75.0,9.0,2019-12-29 05:18:07,2021-05-23 00:54:43,DaveSkender/Stock.Indicators,active,3.0,39:24.6
Hands-On-Machine-Learning-for-Algorithmic-Trading,https://github.com/PacktPublishing/Hands-On-Machine-Learning-for-Algorithmic-Trading,repo for book [hands-on-machine learning for algorithmic trading](https://www.packtpub.com/product/hands-on-machine-learning-for-algorithmic-trading/9781789346411) covering topic from data/unsupervised learning/NPL/RNN & CNN/reinforcement learning etc. Leverage zipline/alphalens/sklearn/openai-gym etc as well. Good references to have,Other Models,2021-05-21 11:20:29,622.0,402.0,2.0,2019-05-07 11:04:25,2021-01-19 07:51:00,PacktPublishing/Hands-On-Machine-Learning-for-Algorithmic-Trading,active,5.0,39:24.6
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,2021-05-21 10:31:26,1169.0,102.0,8.0,2018-08-20 03:13:31,2019-05-23 14:40:50,kkyon/botflow,active,2.0,39:24.6
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,,
rating_history,https://github.com/govwiki/rating_history,NEW,Fixed Income,2021-05-02 23:24:59,27.0,14.0,1.0,2017-11-23 22:52:14,2017-12-03 20:42:49,govwiki/rating_history,inactive,,24:33.4
woe,https://github.com/boredbird/woe,NEW,Fixed Income,2021-05-22 04:02:50,228.0,96.0,1.0,2017-09-11 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
MagentoExtensions,https://github.com/5mehulhelp5/MagentoExtensions,NEW,Fixed Income,2021-04-28 18:58:25,107.0,110.0,2.0,2014-07-03 05:45:54,2017-11-24 16:15:49,5mehulhelp5/MagentoExtensions,inactive,,24:33.4
Binomial Tree,https://github.com/hy-lei/math-finance-exercise,Utility functions in fixed income securities.,Fixed Income,2020-10-06 20:55:18,1.0,2.0,1.0,2019-02-02 08:44:14,2019-05-03 17:16:52,hy-lei/math-finance-toolbox,inactive,,
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,2021-05-22 13:51:20,268.0,121.0,3.0,2019-09-27 16:13:50,2020-06-13 21:20:26,mfrdixon/ML_Finance_Codes,active,3.0,39:24.6
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,2021-05-22 17:10:57,124.0,64.0,0.0,2020-01-06 00:21:58,2020-03-31 13:02:26,saeed349/Microservices-Based-Algorithmic-Trading-System,active,5.0,39:24.6
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,2021-05-23 00:51:49,2365.0,728.0,3.0,2019-02-13 16:57:25,2021-05-07 15:20:28,hudson-and-thames/mlfinlab,active,3.0,39:24.6
MathAndScienceNotes,https://github.com/melling/MathAndScienceNotes,Collections of news/articles on various topics including quant trading and machine learning. Some articles are from [ycombinator message board](https://news.ycombinator.com/news) and [rediit algotrading forum](https://www.reddit.com/r/algotrading/),Other Models,2021-05-17 04:52:41,463.0,57.0,1.0,2016-03-11 19:13:00,2020-12-21 03:54:51,melling/MathAndScienceNotes,active,3.0,39:24.6
awesome-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,2021-05-19 10:59:37,987.0,179.0,8.0,2018-08-29 02:07:02,2021-04-25 00:19:57,georgezouq/awesome-ai-in-finance,active,3.0,39:24.6
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,2021-05-21 07:38:15,354.0,199.0,1.0,2019-10-10 09:44:02,2019-10-12 11:38:49,yacoubb/stock-trading-ml,active,3.0,39:24.6
@@ -353,48 +336,65 @@ Awesome-Quant-Machine-Learning-Trading,https://github.com/grananqvist/Awesome-Qu
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,2021-05-22 13:09:10,297.0,140.0,4.0,2019-11-15 08:51:40,2021-01-21 07:56:08,PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original,active,4.0,39:24.6
Mixture Models II,https://github.com/BlackArbsCEO/mixture_model_trading_public,Mixture models and stock trading.,Other Models,2021-05-02 00:39:22,169.0,74.0,1.0,2017-12-11 17:05:38,2020-05-13 23:50:47,BlackArbsCEO/mixture_model_trading_public,active,3.0,
Machine-Learning-and-AI-in-Trading,https://github.com/PyPatel/Machine-Learning-and-AI-in-Trading,repo covering lstm and other sklearn model for trading. Code is not structured well and less extensible,Other Models,2021-05-06 07:45:30,264.0,103.0,1.0,2017-08-30 06:14:59,2019-10-29 08:14:39,PyPatel/Machine-Learning-and-AI-in-Trading,active,2.0,39:24.6
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,2021-05-21 10:31:26,1169.0,102.0,8.0,2018-08-20 03:13:31,2019-05-23 14:40:50,kkyon/botflow,active,2.0,39:24.6
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,2021-05-21 11:20:29,622.0,402.0,2.0,2019-05-07 11:04:25,2021-01-19 07:51:00,PacktPublishing/Hands-On-Machine-Learning-for-Algorithmic-Trading,active,5.0,39:24.6
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,2021-05-23 00:51:49,2365.0,728.0,3.0,2019-02-13 16:57:25,2021-05-07 15:20:28,hudson-and-thames/mlfinlab,active,3.0,39:24.6
Machine-Learning-for-Algorithmic-Trading-Bots-with-Python,https://github.com/PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Bots-with-Python,code repo for [machine learning for algorithmic trading bots](https://www.packtpub.com/application-development/machine-learning-algorithmic-trading-bots-python-video) video series. Contains notebooks and deep dive using [zipline](https://github.com/quantopian/zipline),Other Models,2021-05-20 15:17:59,184.0,101.0,5.0,2018-12-06 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,2021-05-20 11:20:12,590.0,134.0,3.0,2016-02-14 00:47:32,2021-02-08 21:35:40,ScottfreeLLC/AlphaPy,active,4.0,39:24.6
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,2021-05-23 01:16:28,208.0,75.0,9.0,2019-12-29 05:18:07,2021-05-23 00:54:43,DaveSkender/Stock.Indicators,active,3.0,39:24.6
Pattern-Recognition-for-Forex-Trading,https://github.com/PythonProgramming/Pattern-Recognition-for-Forex-Trading,repo for article [pattern recognization for forex trading](https://pythonprogramming.net/machine-learning-pattern-recognition-algorithmic-forex-stock-trading/) not very scalable and not maintained,Other Models,2021-05-13 10:31:49,177.0,92.0,1.0,2015-03-26 02:22:03,2015-03-26 02:33:51,PythonProgramming/Pattern-Recognition-for-Forex-Trading,inactive,1.0,39:24.6
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,2021-05-19 22:18:51,286.0,119.0,1.0,2018-06-29 21:21:17,2019-02-18 12:34:54,jjakimoto/finance_ml,inactive,1.0,39:24.6
surpriver,https://github.com/tradytics/surpriver,Machine learning algo to detect anomaly in equities data. Uses sklearn [IsolationForest](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.IsolationForest.html) model and price/volume based technical signals as features using [ta](https://github.com/bukosabino/ta) library. Opensourced by [tradytics](https://tradytics.com/). Code structures are less extensible,Other Models,2021-05-21 13:30:52,1219.0,229.0,6.0,2020-08-30 07:56:22,2020-09-21 04:32:05,tradytics/surpriver,active,3.0,39:24.6
CryptoBot,https://github.com/AdeelMufti/CryptoBot,Hard fork of [bitpredit](https://github.com/cbyn/bitpredict) and form the trading strategy as a classification problem with -1 (sell) 0 (hold) 1 (buy). Models used are XGBClassifier/RandomForest/GradientBoosting. Not mentained,Other Models,2021-05-21 16:30:04,242.0,95.0,1.0,2017-01-17 12:44:52,2017-01-17 12:48:17,AdeelMufti/CryptoBot,inactive,2.0,39:24.6
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,2021-05-23 00:23:28,397.0,129.0,1.0,2018-07-22 08:14:46,2021-05-18 12:18:31,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,2021-05-17 22:51:03,235.0,45.0,2.0,2017-06-18 19:57:17,2021-03-14 22:22:00,miro-ka/mosquito,active,3.0,39:24.6
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,2021-05-22 02:39:59,2187.0,698.0,1.0,2016-09-12 18:38:17,2018-08-29 20:27:19,anfederico/clairvoyant,inactive,3.0,
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,2021-05-21 15:34:30,205.0,121.0,1.0,2017-07-11 09:09:15,2018-02-21 05:36:35,anthonyng2/Machine-Learning-For-Finance,inactive,2.0,39:24.6
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,2021-05-18 21:07:16,189.0,125.0,4.0,2018-03-15 06:28:00,2021-01-14 15:58:03,PacktPublishing/Machine-Learning-for-Finance,active,3.0,39:24.6
Speculator,https://github.com/amicks/Speculator,python code to predict crypto prices using machine learning models. Two models used here tensorflow DNNClassifier and sklearn randomforest. Exposes the functionality as web services api using flask. Some idea are based on this paper [predicting the direction of stock market prices](https://arxiv.org/pdf/1605.00003.pdf),Other Models,2021-05-14 21:25:07,104.0,31.0,2.0,2017-09-03 17:43:03,2018-09-12 18:58:38,amicks/Speculator,inactive,3.0,39:24.6
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,2021-05-23 01:15:34,961.0,360.0,2.0,2017-02-12 04:50:44,2021-02-04 03:48:33,robertmartin8/MachineLearningStocks,active,3.0,
Financial Event Prediction using Machine Learning,https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3481555,,Personal Papers,,,,,,,,,,
Machine Learning in Asset Management—Part 1: Portfolio Construction—Trading Strategies,https://jfds.pm-research.com/content/2/1/10,,Personal Papers,,,,,,,,,,
Machine Learning in Asset Management—Part 2: Portfolio Construction—Weight Optimization,https://jfds.pm-research.com/content/2/2/17,,Personal Papers,,,,,,,,,,
Machine Learning in Asset Management,https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3420952,,Personal Papers,,,,,,,,,,
Machine Learning in Asset Management—Part 1: Portfolio Construction—Trading Strategies,https://jfds.pm-research.com/content/2/1/10,,Personal Papers,,,,,,,,,,
Financial Event Prediction using Machine Learning,https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3481555,,Personal Papers,,,,,,,,,,
Riskfolio-Lib,https://github.com/dcajasn/Riskfolio-Lib,NEW,Portfolio Selection and Optimisation,2021-05-20 12:47:35,444.0,70.0,1.0,2020-03-02 19:49:06,2021-05-18 21:27:53,dcajasn/Riskfolio-Lib,active,,37:19.5
riskparity.py,https://github.com/dppalomar/riskparity.py,NEW,Portfolio Selection and Optimisation,2021-05-21 17:17:54,138.0,33.0,2.0,2019-07-13 21:30:55,2021-04-16 02:33:54,dppalomar/riskparity.py,active,,37:19.5
Online Portfolio Selection,https://nbviewer.jupyter.org/github/paulperry/quant/blob/master/OLPS_Comparison.ipynb,****Comparing OLPS algorithms on a diversified set of ETFs.,Portfolio Selection and Optimisation,,,,,,,,,,
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,2021-05-18 07:39:05,242.0,83.0,3.0,2018-11-16 12:20:25,2019-07-04 01:41:46,VivekPa/OptimalPortfolio,active,,
node-finance,https://github.com/albertosantini/node-finance,NEW,Portfolio Selection and Optimisation,2021-05-21 14:23:55,104.0,26.0,3.0,2011-09-17 17:49:56,2021-04-05 08:01:12,albertosantini/node-finance,active,,37:19.5
Efficient Frontier,https://github.com/tthustla/efficient_frontier/blob/master/Efficient%20_Frontier_implementation.ipynb,Modern Portfolio Theory.,Portfolio Selection and Optimisation,2021-04-26 06:26:42,107.0,59.0,1.0,2018-02-17 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,2021-04-08 19:07:41,7.0,4.0,1.0,2016-07-26 16:20:10,2016-12-30 11:40:53,charlessutton/OLMAR,inactive,,
DeepDow,https://github.com/jankrepl/deepdow,Portfolio optimization with deep learning.,Portfolio Selection and Optimisation,2021-05-22 19:25:30,327.0,60.0,2.0,2020-02-02 08:46:33,2021-02-16 18:50:53,jankrepl/deepdow,active,,
Reinforcement Learning,https://github.com/filangel/qtrader,Reinforcement Learning for Portfolio Management.,Portfolio Selection and Optimisation,2021-05-15 03:10:51,366.0,149.0,1.0,2017-10-07 09:14:33,2018-06-26 09:22:27,filangelos/qtrader,inactive,,
Policy Gradient Portfolio,https://github.com/ZhengyaoJiang/PGPortfolio,A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem.,Portfolio Selection and Optimisation,2021-05-20 04:03:07,1304.0,635.0,6.0,2017-11-12 16:08:44,2019-05-09 09:50:18,ZhengyaoJiang/PGPortfolio,inactive,,
PyPortfolioOpt,https://github.com/robertmartin8/PyPortfolioOpt,"Financial portfolio optimisation, including classical efficient frontier and advanced methods.",Portfolio Selection and Optimisation,2021-05-22 12:19:44,2007.0,501.0,17.0,2018-05-29 13:30:30,2021-05-18 07:06:38,robertmartin8/PyPortfolioOpt,active,,
401K Portfolio Optimisation,https://github.com/otosman/Python-for-Finance/blob/master/Portfolio%20Optimization%20401k.ipynb,Portfolio analyses and optimisation for 401K.,Portfolio Selection and Optimisation,2020-12-25 09:39:33,14.0,5.0,1.0,2018-08-01 19:48:24,2019-09-05 11:18:56,otosman/Python-for-Finance,active,,
Deep Portfolio Theory,https://github.com/tcloaa/Deep-Portfolio-Theory,Autoencoder framework for portfolio selection.,Portfolio Selection and Optimisation,2021-04-06 11:47:13,105.0,57.0,1.0,2017-02-10 09:03:08,2018-03-08 16:47:00,tcloaa/Deep-Portfolio-Theory,inactive,,
401K Portfolio Optimisation,https://github.com/otosman/Python-for-Finance/blob/master/Portfolio%20Optimization%20401k.ipynb,Portfolio analyses and optimisation for 401K.,Portfolio Selection and Optimisation,2020-12-25 09:39:33,14.0,5.0,1.0,2018-08-01 19:48:24,2019-09-05 11:18:56,otosman/Python-for-Finance,active,,
Modern Portfolio Theory,https://nbviewer.jupyter.org/github/Marigold/universal-portfolios/blob/master/modern-portfolio-theory.ipynb,Universal portfolios; modern portfolio theory.,Portfolio Selection and Optimisation,,,,,,,,,,
FinBERT,https://github.com/psnonis/FinBERT,NEW,Textual,2021-05-02 15:10:28,143.0,47.0,3.0,2019-07-09 16:34:27,2020-05-19 02:02:20,psnonis/FinBERT,active,,24:28.5
awesome-financial-nlp,https://github.com/icoxfog417/awesome-financial-nlp,NEW,Textual,2021-05-15 16:35:45,235.0,38.0,2.0,2019-10-03 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,2021-05-20 10:18:09,115.0,51.0,2.0,2017-05-24 12:36:38,2019-08-07 21:47:08,GitiHubi/deepAI,active,,
Extensive NLP,https://github.com/TiesdeKok/Python_NLP_Tutorial/blob/master/NLP_Notebook.ipynb,Comprehensive NLP techniques for accounting research.,Textual,2021-05-17 20:00:52,77.0,43.0,1.0,2017-10-25 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,,
Fund classification,https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb,Fund classification using text mining and NLP.,Textual,2021-03-31 02:12:50,4.0,3.0,1.0,2018-04-16 22:18:55,2018-06-07 22:01:32,frechfrechfrech/Mutual-Fund-Market-Clusters,inactive,,
Financial Statement Sentiment,https://github.com/MAydogdu/TextualAnalysis,Extracting sentiment from financial statements using neural networks.,Textual,2021-05-07 20:35:27,11.0,7.0,1.0,2018-06-04 20:54:14,2018-06-04 20:56:02,MAydogdu/TextualAnalysis,inactive,,
news-emotion,https://github.com/dongyuanxin/news-emotion,NEW,Textual,2021-05-18 08:49:23,251.0,119.0,1.0,2017-09-14 02:59:03,2018-06-11 13:47:51,dongyuanxin/news-emotion,inactive,,24:28.5
Buzzwords,https://github.com/swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds,Return performance and mutual fund selection.,Textual,2020-10-06 18:54:58,1.0,4.0,1.0,2018-02-04 21:51:16,2018-02-04 21:57:09,swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds,inactive,,
financial-news-dataset,https://github.com/philipperemy/financial-news-dataset,NEW,Textual,2021-05-09 16:58:04,154.0,76.0,1.0,2016-08-23 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,,
NLP,https://github.com/toamitesh/NLPinFinance,This project assembles a lot of NLP operations needed for finance domain.,Textual,,,,,,,toamitesh/NLPinFinance,,,
BDCI2019-Negative_Finance_Info_Judge,https://github.com/A-Rain/BDCI2019-Negative_Finance_Info_Judge,NEW,Textual,2021-05-06 12:59:42,108.0,24.0,3.0,2019-12-27 03:49:31,2020-12-04 03:38:57,A-Rain/BDCI2019-Negative_Finance_Info_Judge,active,,24:28.5
NLP Event,https://github.com/yuriak/DLQuant,Applying Deep Learning and NLP in Quantitative Trading.,Textual,2021-04-01 02:16:38,70.0,32.0,1.0,2018-07-02 23:50:52,2019-01-31 14:08:20,yuriak/DLQuant,inactive,,
PyPortfolioOpt,https://github.com/robertmartin8/PyPortfolioOpt,"Financial portfolio optimisation, including classical efficient frontier and advanced methods.",Portfolio Selection and Optimisation,2021-05-22 12:19:44,2007.0,501.0,17.0,2018-05-29 13:30:30,2021-05-18 07:06:38,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,2021-05-20 04:03:07,1304.0,635.0,6.0,2017-11-12 16:08:44,2019-05-09 09:50:18,ZhengyaoJiang/PGPortfolio,inactive,,
DeepDow,https://github.com/jankrepl/deepdow,Portfolio optimization with deep learning.,Portfolio Selection and Optimisation,2021-05-22 19:25:30,327.0,60.0,2.0,2020-02-02 08:46:33,2021-02-16 18:50:53,jankrepl/deepdow,active,,
Online Portfolio Selection,https://nbviewer.jupyter.org/github/paulperry/quant/blob/master/OLPS_Comparison.ipynb,****Comparing OLPS algorithms on a diversified set of ETFs.,Portfolio Selection and Optimisation,,,,,,,,,,
Efficient Frontier,https://github.com/tthustla/efficient_frontier/blob/master/Efficient%20_Frontier_implementation.ipynb,Modern Portfolio Theory.,Portfolio Selection and Optimisation,2021-04-26 06:26:42,107.0,59.0,1.0,2018-02-17 08:19:46,2018-02-27 13:16:57,tthustla/efficient_frontier,inactive,,
node-finance,https://github.com/albertosantini/node-finance,NEW,Portfolio Selection and Optimisation,2021-05-21 14:23:55,104.0,26.0,3.0,2011-09-17 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,2021-05-18 07:39:05,242.0,83.0,3.0,2018-11-16 12:20:25,2019-07-04 01:41:46,VivekPa/OptimalPortfolio,active,,
riskparity.py,https://github.com/dppalomar/riskparity.py,NEW,Portfolio Selection and Optimisation,2021-05-21 17:17:54,138.0,33.0,2.0,2019-07-13 21:30:55,2021-04-16 02:33:54,dppalomar/riskparity.py,active,,37:19.5
Riskfolio-Lib,https://github.com/dcajasn/Riskfolio-Lib,NEW,Portfolio Selection and Optimisation,2021-05-20 12:47:35,444.0,70.0,1.0,2020-03-02 19:49:06,2021-05-18 21:27:53,dcajasn/Riskfolio-Lib,active,,37:19.5
OLMAR Algorithm,https://github.com/charlessutton/OLMAR/blob/master/Part3.ipynb,Relative importance of each component of the OLMAR algorithm.,Portfolio Selection and Optimisation,2021-04-08 19:07:41,7.0,4.0,1.0,2016-07-26 16:20:10,2016-12-30 11:40:53,charlessutton/OLMAR,inactive,,
FinNLP-Progress,https://github.com/YangLinyi/FinNLP-Progress,NEW,Textual,2021-05-19 11:39:41,168.0,21.0,5.0,2020-05-21 09:59:56,2021-03-23 08:14:07,YangLinyi/FinNLP-Progress,active,,24:28.5
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
Pairs Trading,https://github.com/marketneutral/pairs-trading-with-ML/blob/master/Pairs%2BTrading%2Bwith%2BMachine%2BLearning.ipynb,Finding pairs with cluster analysis.,Unsupervised,2021-05-13 02:52:13,83.0,40.0,0.0,2017-09-05 19:19:19,2017-09-27 20:42:14,marketneutral/pairs-trading-with-ML,inactive,,
NLP Event,https://github.com/yuriak/DLQuant,Applying Deep Learning and NLP in Quantitative Trading.,Textual,2021-04-01 02:16:38,70.0,32.0,1.0,2018-07-02 23:50:52,2019-01-31 14:08:20,yuriak/DLQuant,inactive,,
BDCI2019-Negative_Finance_Info_Judge,https://github.com/A-Rain/BDCI2019-Negative_Finance_Info_Judge,NEW,Textual,2021-05-06 12:59:42,108.0,24.0,3.0,2019-12-27 03:49:31,2020-12-04 03:38:57,A-Rain/BDCI2019-Negative_Finance_Info_Judge,active,,24:28.5
NLP,https://github.com/toamitesh/NLPinFinance,This project assembles a lot of NLP operations needed for finance domain.,Textual,,,,,,,toamitesh/NLPinFinance,,,
financial-news-dataset,https://github.com/philipperemy/financial-news-dataset,NEW,Textual,2021-05-09 16:58:04,154.0,76.0,1.0,2016-08-23 13:29:07,2021-03-04 06:34:24,philipperemy/financial-news-dataset,active,,24:28.5
Buzzwords,https://github.com/swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds,Return performance and mutual fund selection.,Textual,2020-10-06 18:54:58,1.0,4.0,1.0,2018-02-04 21:51:16,2018-02-04 21:57:09,swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds,inactive,,
news-emotion,https://github.com/dongyuanxin/news-emotion,NEW,Textual,2021-05-18 08:49:23,251.0,119.0,1.0,2017-09-14 02:59:03,2018-06-11 13:47:51,dongyuanxin/news-emotion,inactive,,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,,
Fund classification,https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb,Fund classification using text mining and NLP.,Textual,2021-03-31 02:12:50,4.0,3.0,1.0,2018-04-16 22:18:55,2018-06-07 22:01:32,frechfrechfrech/Mutual-Fund-Market-Clusters,inactive,,
Financial 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,2021-05-17 20:00:52,77.0,43.0,1.0,2017-10-25 07:10:26,2020-06-05 03:28:46,TiesdeKok/Python_NLP_Tutorial,active,,
Accounting Anomalies,https://github.com/GitiHubi/deepAI/blob/master/GTC_2018_Lab-solutions.ipynb,Using deep-learning frameworks to identify accounting anomalies.,Textual,2021-05-20 10:18:09,115.0,51.0,2.0,2017-05-24 12:36:38,2019-08-07 21:47:08,GitiHubi/deepAI,active,,
awesome-financial-nlp,https://github.com/icoxfog417/awesome-financial-nlp,NEW,Textual,2021-05-15 16:35:45,235.0,38.0,2.0,2019-10-03 03:53:20,2020-02-01 08:28:16,icoxfog417/awesome-financial-nlp,active,,24:28.5
FinBERT,https://github.com/psnonis/FinBERT,NEW,Textual,2021-05-02 15:10:28,143.0,47.0,3.0,2019-07-09 16:34:27,2020-05-19 02:02:20,psnonis/FinBERT,active,,24:28.5
Financial Statement Sentiment,https://github.com/MAydogdu/TextualAnalysis,Extracting sentiment from financial statements using neural networks.,Textual,2021-05-07 20:35:27,11.0,7.0,1.0,2018-06-04 20:54:14,2018-06-04 20:56:02,MAydogdu/TextualAnalysis,inactive,,
Stock_Support_Resistance_ML,https://github.com/judopro/Stock_Support_Resistance_ML,NEW,Unsupervised,2021-05-13 16:49:45,17.0,15.0,1.0,2019-12-22 20:25:48,2021-05-02 04:25:21,judopro/Stock_Support_Resistance_ML,active,,2021-05-07 01:53:28.160570
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
all-classification-templetes-for-ML,https://github.com/sayantann11/all-classification-templetes-for-ML,NEW,Unsupervised,2021-05-15 02:26:24,26.0,14.0,1.0,2020-05-05 10:28:52,2020-05-05 10:30:32,sayantann11/all-classification-templetes-for-ML,active,,24:29.9
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 18:51:22,4.0,5.0,1.0,2017-07-21 02:12:51,2017-07-23 02:53:37,SeanMcOwen/FinanceAndPython.com-ClusteringIndustries,inactive,,
VRA Stock Embedding,https://github.com/ml-hongkong/stock2vec,Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history.,Unsupervised,2021-05-02 17:02:13,31.0,12.0,1.0,2017-06-21 04:47:14,2017-06-21 04:51:13,ml-hongkong/stock2vec,inactive,,
Industry Clustering,https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries,Clustering of industries.,Unsupervised,2020-10-06 18:51:22,4.0,5.0,1.0,2017-07-21 02:12:51,2017-07-23 02:53:37,SeanMcOwen/FinanceAndPython.com-ClusteringIndustries,inactive,,
AnomalyDetectionOnRisk,https://github.com/SimonWesterlindVPD/AnomalyDetectionOnRisk,NEW,Unsupervised,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
all-classification-templetes-for-ML,https://github.com/sayantann11/all-classification-templetes-for-ML,NEW,Unsupervised,2021-05-15 02:26:24,26.0,14.0,1.0,2020-05-05 10:28:52,2020-05-05 10:30:32,sayantann11/all-classification-templetes-for-ML,active,,24:29.9
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
PCA Pairs Trading,https://github.com/joelQF/quant-finance/tree/master/Artificial_IntelIigence_for_Trading,"PCA, Factor Returns, and trading strategies.",Unsupervised,,,,,,,joelQF/quant-finance,,,
Stock_Support_Resistance_ML,https://github.com/judopro/Stock_Support_Resistance_ML,NEW,Unsupervised,2021-05-13 16:49:45,17.0,15.0,1.0,2019-12-22 20:25:48,2021-05-02 04:25:21,judopro/Stock_Support_Resistance_ML,active,,2021-05-07 01:53:28.160570
Pairs Trading,https://github.com/marketneutral/pairs-trading-with-ML/blob/master/Pairs%2BTrading%2Bwith%2BMachine%2BLearning.ipynb,Finding pairs with cluster analysis.,Unsupervised,2021-05-13 02:52:13,83.0,40.0,0.0,2017-09-05 19:19:19,2017-09-27 20:42:14,marketneutral/pairs-trading-with-ML,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
Eigen-Portfolio,https://github.com/Gustrigos/Eigen-Portfolio,NEW,Unsupervised,2021-05-10 06:49:32,37.0,11.0,1.0,2018-09-05 05:29:18,2020-04-09 21:40:04,Gustrigos/Eigen-Portfolio,active,,24:29.9
Industry Clustering,https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries,Clustering of industries.,Unsupervised,2020-10-06 18:51:22,4.0,5.0,1.0,2017-07-21 02:12:51,2017-07-23 02:53:37,SeanMcOwen/FinanceAndPython.com-ClusteringIndustries,inactive,,
Fund Clusters,https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb,Data exploration of fund clusters.,Unsupervised,2021-03-31 02:12:50,4.0,3.0,1.0,2018-04-16 22:18:55,2018-06-07 22:01:32,frechfrechfrech/Mutual-Fund-Market-Clusters,inactive,,
1 name url comment category last_update star_count fork_count contributors_count created_at last_commit repo_path repo_status rating finml_added_date
12 Blockchain https://github.com/nud3l/dInvest Repository for distributed autonomous investment banking. Alternative Finance 2021-02-06 07:38:28 12.0 7.0 2.0 2016-09-05 19:12:40 2017-04-24 10:48:56 nud3l/dInvest inactive
13 Private Equity https://github.com/TheVinhLuong102/ChicagoBooth-EntrepreneurialFinancePrivateEquity/blob/master/RightNow%20Technologies/RightNow%20Technologies.ipynb Valuation models. Alternative Finance 2020-11-26 03:34:45 8.0 6.0 2.0 2016-01-27 21:13:33 2016-03-14 20:03:52 TheVinhLuong102/ChicagoBooth-EntrepreneurialFinancePrivateEquity inactive
14 pitch-deck https://github.com/joelparkerhenderson/pitch-deck NEW Alternative Finance 2021-05-23 06:36:01 157.0 41.0 2.0 2016-09-17 01:30:26 2021-05-19 19:49:27 joelparkerhenderson/pitch-deck active 2021-05-24 02:12:13.615391
15 Stanford Advanced Financial Technologies Oxford Man https://fintech.stanford.edu/ https://www.oxford-man.ox.ac.uk/ Stanford Advanced Financial Technologies Laboratory Oxford-Man Institute of Quantitative Finance Colleges Centers and Departments
Cornell University https://www.cornell.edu/ Colleges Centers and Departments
NYU FRE https://engineering.nyu.edu/academics/departments/finance-and-risk-engineering Finance and Risk Engineering (NYU Tandon) Colleges Centers and Departments
16 Berkeley Lab CIFT https://cs.lbl.gov/news-media/news/news-archive/2010/berkeley-lab-launches-new-center-for-innovative-financial-technology/ Colleges Centers and Departments
17 NYU Courant https://cims.nyu.edu/ Courant Institute of Mathematical Sciences, New York University Colleges Centers and Departments
18 Oxford Man Cornell University https://www.oxford-man.ox.ac.uk/ https://www.cornell.edu/ Oxford-Man Institute of Quantitative Finance Colleges Centers and Departments
19 china-dictatorship Stanford Advanced Financial Technologies https://github.com/cirosantilli/china-dictatorship https://fintech.stanford.edu/ NEW Stanford Advanced Financial Technologies Laboratory Courses Colleges Centers and Departments 2021-05-22 23:39:00 418.0 45.0 4.0 2015-04-02 20:51:50 2021-05-20 04:00:03 cirosantilli/china-dictatorship active 2021-04-19 01:25:20.750834
20 Developing_Data_Products NYU FRE https://github.com/DataScienceSpecialization/Developing_Data_Products https://engineering.nyu.edu/academics/departments/finance-and-risk-engineering NEW Finance and Risk Engineering (NYU Tandon) Courses Colleges Centers and Departments 2021-05-20 13:53:17 200.0 1277.0 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
21 stanford-cs229 Introduction-to-Machine-Learning https://github.com/zyxue/stanford-cs229 https://github.com/codeheroku/Introduction-to-Machine-Learning NEW Courses 2021-05-22 05:35:08 2021-05-22 15:20:09 514.0 285.0 291.0 760.0 2.0 3.0 2017-10-31 23:01:08 2019-02-09 12:07:52 2020-01-14 03:24:16 2020-11-28 08:44:08 zyxue/stanford-cs229 codeheroku/Introduction-to-Machine-Learning active 2021-04-19 01:25:20.750834
22 DataCamp Play-with-Machine-Learning-Algorithms https://github.com/wblakecannon/DataCamp https://github.com/liuyubobobo/Play-with-Machine-Learning-Algorithms NEW Courses 2021-05-15 10:12:20 2021-05-22 19:33:49 1167.0 1054.0 1369.0 565.0 28.0 1.0 2017-09-18 20:51:08 2017-10-17 23:13:24 2020-10-01 20:13:05 2020-11-10 08:26:50 wblakecannon/DataCamp liuyubobobo/Play-with-Machine-Learning-Algorithms active 2021-04-19 01:25:20.750834
23 stanford-cs231 mlcourse https://github.com/machinelearningnanodegree/stanford-cs231 https://github.com/davidrosenberg/mlcourse NEW Courses 2021-05-18 18:13:19 2021-05-11 18:35:53 251.0 404.0 123.0 219.0 4.0 9.0 2016-09-05 01:40:41 2015-10-11 22:18:25 2017-02-03 16:46:46 2021-03-14 01:19:08 machinelearningnanodegree/stanford-cs231 davidrosenberg/mlcourse inactive active 2021-04-19 01:25:20.750834
24 courses ppd599 https://github.com/DataScienceSpecialization/courses https://github.com/gboeing/ppd599 NEW Courses 2021-05-21 12:11:25 2021-05-20 03:49:45 3766.0 1078.0 30783.0 456.0 13.0 1.0 2014-01-21 10:22:57 2015-09-01 19:59:59 2016-03-16 12:13:44 2021-05-12 00:29:25 DataScienceSpecialization/courses gboeing/ppd599 inactive active 2021-04-19 01:25:20.750834
25 DataScienceCourse DAT4 https://github.com/briandalessandro/DataScienceCourse https://github.com/justmarkham/DAT4 NEW Courses 2021-05-21 20:34:07 2021-05-18 16:23:43 586.0 749.0 735.0 652.0 13.0 3.0 2014-10-01 08:45:51 2014-12-10 19:38:29 2020-12-20 13:03:56 2021-02-15 23:26:27 briandalessandro/DataScienceCourse justmarkham/DAT4 active 2021-04-19 01:25:20.750834
26 ml-workspace stat479-machine-learning-fs19 https://github.com/AdicherlaVenkataSai/ml-workspace https://github.com/rasbt/stat479-machine-learning-fs19 NEW Courses 2021-05-18 21:04:35 2021-04-25 05:26:18 258.0 650.0 84.0 223.0 1.0 2020-07-10 06:38:10 2019-08-07 07:36:20 2020-09-23 18:16:09 2020-11-28 00:04:07 AdicherlaVenkataSai/ml-workspace rasbt/stat479-machine-learning-fs19 active 2021-04-19 01:25:20.750834
27 CourseraML zero-to-mastery-ml https://github.com/kaleko/CourseraML https://github.com/mrdbourke/zero-to-mastery-ml NEW Courses 2021-05-22 12:59:19 2021-05-22 17:20:48 1885.0 730.0 775.0 1266.0 0.0 14.0 2015-12-08 00:03:22 2019-09-23 04:56:51 2018-10-30 23:49:56 2021-04-13 06:55:10 kaleko/CourseraML mrdbourke/zero-to-mastery-ml inactive active 2021-04-19 01:25:20.750834
28 competitive-data-science Artificial-Intelligence-and-Machine-Learning https://github.com/hse-aml/competitive-data-science https://github.com/emilmont/Artificial-Intelligence-and-Machine-Learning NEW Courses 2021-05-16 21:55:23 2021-05-04 13:09:47 562.0 515.0 578.0 301.0 9.0 1.0 2017-10-28 14:56:44 2011-10-16 22:51:06 2020-06-13 13:44:26 2013-07-20 18:21:51 hse-aml/competitive-data-science emilmont/Artificial-Intelligence-and-Machine-Learning active inactive 2021-04-19 01:25:20.750834
29 datasci_course_materials MTH594_MachineLearning https://github.com/uwescience/datasci_course_materials https://github.com/diefimov/MTH594_MachineLearning NEW Courses 2021-05-18 18:12:29 2021-04-24 16:56:41 900.0 330.0 2443.0 135.0 6.0 1.0 2013-04-12 05:54:36 2016-03-09 07:35:19 2017-03-21 19:21:02 2017-03-31 21:46:26 uwescience/datasci_course_materials diefimov/MTH594_MachineLearning inactive 2021-04-19 01:25:20.750834
30 datascience-box Machine-Learning-by-Andrew-Ng-in-Python https://github.com/rstudio-education/datascience-box https://github.com/Benlau93/Machine-Learning-by-Andrew-Ng-in-Python NEW Courses 2021-05-20 18:30:23 2021-05-20 06:06:39 650.0 244.0 257.0 202.0 16.0 1.0 2017-12-29 22:16:17 2018-12-06 02:20:59 2021-05-18 00:00:59 2019-01-11 04:24:52 rstudio-education/datascience-box Benlau93/Machine-Learning-by-Andrew-Ng-in-Python active inactive 2021-04-19 01:25:20.750834
31 DAT8 machine-learning-programming-assignments-coursera-andrew-ng https://github.com/justmarkham/DAT8 https://github.com/AvaisP/machine-learning-programming-assignments-coursera-andrew-ng NEW Courses 2021-05-20 03:49:37 2021-05-19 06:25:13 1494.0 374.0 974.0 331.0 1.0 2015-08-07 03:35:51 2016-08-20 18:05:22 2016-04-18 18:34:09 2016-09-05 19:14:41 justmarkham/DAT8 AvaisP/machine-learning-programming-assignments-coursera-andrew-ng inactive 2021-04-19 01:25:20.750834
32 machine-learning-resources https://github.com/datascienceid/machine-learning-resources NEW Courses 2021-05-11 03:38:34 239.0 89.0 4.0 2018-04-09 15:10:08 2019-07-30 14:25:27 datascienceid/machine-learning-resources active 2021-04-19 01:25:20.750834
33 ML_course https://github.com/epfml/ML_course NEW Courses 2021-05-22 06:48:06 651.0 512.0 29.0 2016-07-13 15:37:38 2021-01-31 23:50:35 epfml/ML_course active 2021-04-19 01:25:20.750834
34 Stanford-Machine-Learning-Course https://github.com/zhouxc/Stanford-Machine-Learning-Course NEW Courses 2021-05-14 04:03:06 512.0 364.0 1.0 2011-12-25 10:00:48 2011-12-25 10:01:12 zhouxc/Stanford-Machine-Learning-Course inactive 2021-04-19 01:25:20.750834
35 awesome-ml-courses https://github.com/luspr/awesome-ml-courses NEW Courses 2021-05-21 15:37:44 1997.0 218.0 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
36 stat479-machine-learning-fs18 https://github.com/rasbt/stat479-machine-learning-fs18 NEW Courses 2021-05-22 16:10:13 421.0 207.0 1.0 2018-09-06 00:30:56 2018-12-20 23:45:13 rasbt/stat479-machine-learning-fs18 inactive 2021-04-19 01:25:20.750834
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mlcourse https://github.com/davidrosenberg/mlcourse NEW Courses 2021-05-11 18:35:53 404.0 219.0 9.0 2015-10-11 22:18:25 2021-03-14 01:19:08 davidrosenberg/mlcourse active 2021-04-19 01:25:20.750834
Play-with-Machine-Learning-Algorithms https://github.com/liuyubobobo/Play-with-Machine-Learning-Algorithms NEW Courses 2021-05-22 19:33:49 1054.0 565.0 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
Introduction-to-Machine-Learning https://github.com/codeheroku/Introduction-to-Machine-Learning NEW Courses 2021-05-22 15:20:09 285.0 760.0 3.0 2019-02-09 12:07:52 2020-11-28 08:44:08 codeheroku/Introduction-to-Machine-Learning active 2021-04-19 01:25:20.750834
awesome-ml-courses https://github.com/luspr/awesome-ml-courses NEW Courses 2021-05-21 15:37:44 1997.0 218.0 4.0 2020-05-08 20:41:59 2021-02-18 20:26:31 luspr/awesome-ml-courses active 2021-04-19 01:25:20.750834
machine-learning-notebooks https://github.com/krasserm/machine-learning-notebooks NEW Courses 2021-05-20 07:45:13 296.0 126.0 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
Coursera-Stanford-ML-Python https://github.com/mstampfer/Coursera-Stanford-ML-Python NEW Courses 2021-05-22 01:42:57 405.0 232.0 3.0 2015-10-28 19:51:00 2016-09-02 00:21:30 mstampfer/Coursera-Stanford-ML-Python inactive 2021-04-19 01:25:20.750834
2014 https://github.com/cs109/2014 NEW Courses 2021-05-17 01:31:57 309.0 766.0 4.0 2014-07-21 22:46:20 2014-12-17 14:37:02 cs109/2014 inactive 2021-04-19 01:25:20.750834
DP100 https://github.com/MicrosoftLearning/DP100 NEW Courses 2021-05-20 06:20:52 496.0 507.0 2.0 2020-01-06 20:38:41 2020-12-30 17:22:42 MicrosoftLearning/DP100 active 2021-04-19 01:25:20.750834
JSE_OkCupid https://github.com/rudeboybert/JSE_OkCupid NEW Courses 2021-05-05 12:52:23 210.0 62.0 1.0 2015-03-28 08:38:27 2021-04-26 18:35:26 rudeboybert/JSE_OkCupid active 2021-04-19 01:25:20.750834
master https://github.com/ML-course/master NEW Courses 2021-05-23 00:39:39 331.0 173.0 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
mlcourse.ai https://github.com/Yorko/mlcourse.ai NEW Courses 2021-05-22 20:33:42 7646.0 5046.0 190.0 2017-02-27 08:32:20 2021-05-07 10:22:21 Yorko/mlcourse.ai active 2021-04-19 01:25:20.750834
MachineLearningWithPython https://github.com/JerryKurata/MachineLearningWithPython NEW Courses 2021-05-19 02:17:44 230.0 343.0 1.0 2016-04-24 21:20:10 2021-04-15 18:17:30 JerryKurata/MachineLearningWithPython active 2021-04-19 01:25:20.750834
ml-course-msu https://github.com/esokolov/ml-course-msu NEW Courses 2021-04-28 20:04:03 764.0 303.0 1.0 2015-09-11 08:51:24 2018-05-07 15:40:56 esokolov/ml-course-msu inactive 2021-04-19 01:25:20.750834
DAT7 https://github.com/justmarkham/DAT7 NEW Courses 2021-05-16 08:51:39 226.0 198.0 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 2021-05-22 16:20:09 779.0 218.0 2.0 2015-08-12 19:26:00 2017-01-20 16:24:19 hal3/ciml inactive 2021-04-19 01:25:20.750834
dive-into-machine-learning https://github.com/hangtwenty/dive-into-machine-learning NEW Courses 2021-05-22 21:07:58 10525.0 1937.0 30.0 2015-02-22 23:48:16 2021-03-15 05:34:55 hangtwenty/dive-into-machine-learning active 2021-04-19 01:25:20.750834
deploying-machine-learning-models https://github.com/trainindata/deploying-machine-learning-models NEW Courses 2021-05-19 19:21:16 303.0 2766.0 2.0 2019-01-09 20:30:46 2021-05-17 18:08:53 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 2021-05-22 05:46:59 258.0 487.0 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 2021-05-20 06:15:25 2402.0 838.0 11.0 2018-05-09 18:33:40 2020-06-03 21:08:32 GoogleCloudPlatform/tensorflow-without-a-phd active 2021-04-19 01:25:20.750834
Udemy---Machine-Learning https://github.com/jmportilla/Udemy---Machine-Learning NEW Courses 2021-03-31 17:57:54 206.0 407.0 3.0 2015-04-27 22:44:40 2016-07-06 23:58:33 jmportilla/Udemy---Machine-Learning inactive 2021-04-19 01:25:20.750834
machine-learning-coursera-1 https://github.com/Borye/machine-learning-coursera-1 NEW Courses 2021-05-18 23:57:27 1104.0 938.0 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
machine-learning-course https://github.com/instillai/machine-learning-course NEW Courses 2021-05-22 15:45:05 6657.0 1220.0 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
Financial Corporate http://raw.rutgers.edu/Corporate%20Financial%20Data.html Data
Capital Markets Data https://www.capitalmarketsdata.com/ Data
Open Edgar https://github.com/LexPredict/openedgar Data 2021-05-21 18:47:54 179.0 62.0 6.0 2018-05-07 15:32:31 2019-05-15 08:32:30 LexPredict/openedgar inactive
SEC Parsing https://github.com/healthgradient/sec-doc-info-extraction/blob/master/classify_sections_containing_relevant_information.ipynb Data 2021-02-27 06:34:55 9.0 6.0 1.0 2018-06-16 14:30:06 2018-06-16 17:23:46 healthgradient/sec-doc-info-extraction inactive
Employee Count SEC Filings https://github.com/healthgradient/sec_employee_information_extraction Data 2021-04-18 03:25:43 11.0 2.0 1.0 2018-06-26 23:33:51 2018-08-14 01:31:13 healthgradient/sec_employee_information_extraction inactive
EDGAR https://github.com/TiesdeKok/UW_Python_Camp/blob/master/Materials/Session_5/EDGAR_walkthrough.ipynb Data 2021-04-29 12:51:47 12.0 11.0 1.0 2018-06-11 22:51:57 2018-07-10 18:03:52 TiesdeKok/UW_Python_Camp inactive
IRS http://social-metrics.org/sox/ Data
http://finance.yahoo.com/ http://finance.yahoo.com/ Data
Non-financial Corporate http://raw.rutgers.edu/Non-Financial%20Corporate%20Data.html Data
https://fred.stlouisfed.org/ https://fred.stlouisfed.org/ Data
Rating Industries http://www.ratingshistory.info/ Data
Web Scraping (FirmAI) https://github.com/firmai/business-machine-learning/blob/master/www.firmai.org/data Data 2021-05-19 12:47:12 583.0 185.0 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
94 https://github.com/timestocome/StockMarketData https://github.com/timestocome/StockMarketData Data 2021-05-12 12:24:53 7.0 5.0 1.0 2017-05-10 21:49:45 2017-08-06 19:23:18 timestocome/StockMarketData inactive
95 finserv-application-blueprint Non-financial Corporate https://github.com/mapr-demos/finserv-application-blueprint http://raw.rutgers.edu/Non-Financial%20Corporate%20Data.html generate streamable data using mapr converged data platfrom built mostly in java. Uses apache [zepplin](https://zeppelin.apache.org/) for web visualization Data Processing Techniques and Transformations Data 2021-01-21 00:29:14 72.0 53.0 5.0 2016-09-26 19:42:54 2021-01-20 23:07:40 mapr-demos/finserv-application-blueprint active 2.0 12:49.2
96 Advanced ML https://stooq.com https://github.com/BlackArbsCEO/Adv_Fin_ML_Exercises https://stooq.com Exercises to book [advances in financial machine learning](https://www.wiley.com/en-us/Advances+in+Financial+Machine+Learning-p-9781119482109). Relevant topics include data cleaning and outlier detection (using MAD) Data Processing Techniques and Transformations Data 2021-05-22 10:51:30 1016.0 446.0 4.0 2018-04-25 17:22:40 2020-01-16 17:25:41 BlackArbsCEO/Adv_Fin_ML_Exercises active 4.0
97 Twitter-Trends Web Scraping (FirmAI) https://github.com/Medha11/Twitter-Trends https://github.com/firmai/business-machine-learning/blob/master/www.firmai.org/data sentiment analysis baed on twitter data. Relevant topics include data cleaning/tokenization/data aggregation using mangodb etc. Data Processing Techniques and Transformations Data 2021-05-14 22:58:07 2021-05-19 12:47:12 70.0 583.0 21.0 185.0 1.0 2.0 2017-05-22 17:07:45 2019-02-19 19:02:59 2017-05-23 08:06:27 2020-07-22 16:48:21 Medha11/Twitter-Trends firmai/business-machine-learning inactive active 3.0 12:49.2
98 CryptoNets Rating Industries https://github.com/microsoft/CryptoNets http://www.ratingshistory.info/ 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 2021-05-19 22:37:55 158.0 43.0 4.0 2019-06-02 05:48:39 2019-09-12 13:03:05 microsoft/CryptoNets active 2.0 12:49.2
99 https://fred.stlouisfed.org/ https://fred.stlouisfed.org/ Data
100 http://finance.yahoo.com/ http://finance.yahoo.com/ Data
101 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
102 EDGAR https://github.com/TiesdeKok/UW_Python_Camp/blob/master/Materials/Session_5/EDGAR_walkthrough.ipynb Data 2021-04-29 12:51:47 12.0 11.0 1.0 2018-06-11 22:51:57 2018-07-10 18:03:52 TiesdeKok/UW_Python_Camp inactive
103 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
104 Open Edgar https://github.com/LexPredict/openedgar Data 2021-05-21 18:47:54 179.0 62.0 6.0 2018-05-07 15:32:31 2019-05-15 08:32:30 LexPredict/openedgar inactive
105 Capital Markets Data https://www.capitalmarketsdata.com/ Data
106 Financial Corporate http://raw.rutgers.edu/Corporate%20Financial%20Data.html Data
107 IRS http://social-metrics.org/sox/ Data
108 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 2021-05-19 17:05:53 350.0 141.0 9.0 2014-06-01 01:14:12 2021-05-19 17:05:49 timolson/cointrader active 2.0 12:49.2
109 CryptoNets https://github.com/microsoft/CryptoNets CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with [Homomorphic Encryption](https://www.cs.cmu.edu/~odonnell/hits09/gentry-homomorphic-encryption.pdf). Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted. Data Processing Techniques and Transformations 2021-05-19 22:37:55 158.0 43.0 4.0 2019-06-02 05:48:39 2019-09-12 13:03:05 microsoft/CryptoNets active 2.0 12:49.2
110 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
111 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 2021-05-22 10:51:30 1016.0 446.0 4.0 2018-04-25 17:22:40 2020-01-16 17:25:41 BlackArbsCEO/Adv_Fin_ML_Exercises active 4.0
112 finserv-application-blueprint https://github.com/mapr-demos/finserv-application-blueprint generate streamable data using mapr converged data platfrom built mostly in java. Uses apache [zepplin](https://zeppelin.apache.org/) for web visualization Data Processing Techniques and Transformations 2021-01-21 00:29:14 72.0 53.0 5.0 2016-09-26 19:42:54 2021-01-20 23:07:40 mapr-demos/finserv-application-blueprint active 2.0 12:49.2
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 2021-05-14 22:58:07 70.0 21.0 1.0 2017-05-22 17:07:45 2017-05-23 08:06:27 Medha11/Twitter-Trends inactive 3.0 12:49.2
114 pairstrade-fyp-2019 https://github.com/wywongbd/pairstrade-fyp-2019 NEW Deep Learning And Reinforcement Learning 2021-05-12 00:28:30 115.0 42.0 2.0 2018-09-07 07:51:06 2020-05-13 05:06:51 wywongbd/pairstrade-fyp-2019 active 39:11.1
115 Deep Learning III https://github.com/Rachnog/Deep-Trading Algorithmic trading with deep learning experiments. Deep Learning And Reinforcement Learning 2021-05-20 21:38:04 1273.0 682.0 1.0 2016-06-18 18:23:06 2018-08-07 15:24:45 Rachnog/Deep-Trading inactive 5.0
116 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 2021-05-22 12:17:38 145.0 71.0 1.0 2018-05-11 00:52:14 2019-10-26 14:22:44 saeed349/Deep-Reinforcement-Learning-in-Trading active 3.0 3/31/21 8:00
117 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 2021-05-22 19:44:04 2064.0 521.0 22.0 2020-07-26 13:18:16 2021-05-05 14:56:35 AI4Finance-LLC/FinRL active 5.0 3/31/21 8:00
118 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 2021-05-20 11:56:53 142.0 54.0 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
119 LTSM GRU https://github.com/RajatHanda/Finance-Forecasting Stock Market Forecasting using LSTM\GRU. Deep Learning And Reinforcement Learning 2021-03-29 23:59:32 11.0 6.0 1.0 2018-05-13 02:39:32 2019-02-25 00:26:42 RajatHanda/Finance-Forecasting inactive 3.0
120 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 2021-05-20 21:52:03 302.0 108.0 1.0 2018-09-29 23:38:06 2021-05-18 02:58:12 LastAncientOne/Deep-Learning-Machine-Learning-Stock active 3.0 3/31/21 8:00
121 RLQuant https://github.com/yuriak/RLQuant NEW Deep Learning And Reinforcement Learning 2021-05-11 19:40:02 277.0 94.0 1.0 2018-04-05 05:42:44 2018-08-13 04:18:29 yuriak/RLQuant inactive 39:11.1
122 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 2021-05-19 03:36:13 246.0 116.0 1.0 2017-05-18 16:47:11 2017-05-18 16:56:38 shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading inactive 3.0
123 crypto-rl https://github.com/sadighian/crypto-rl Retrieve limit order book level data from coinbase pro and bitfinex -> record in [arctic](https://github.com/man-group/arctic) timeseries database then implemented trend following strategies (market orders) and market making (limit orders). Uses reinforcement learning (DQN) [keras-rl](https://github.com/keras-rl/keras-rl) to create agents and uses [openai gym](https://gym.openai.com/) to implement POMDP (partially observable markov decision process) Deep Learning And Reinforcement Learning 2021-05-22 09:34:45 369.0 115.0 1.0 2018-06-21 01:06:01 2020-11-05 11:08:19 sadighian/crypto-rl active 3.0 3/31/21 8:00
124 AutomatedStockTrading-DeepQ-Learning https://github.com/sachink2010/AutomatedStockTrading-DeepQ-Learning cornerstone project repo for Udacity nanodegree program [Become a machine learning engineer](https://www.udacity.com/course/machine-learning-engineer-nanodegree--nd009t) and focus on trading using deep q learning. Good explanation on design choices in the report Deep Learning And Reinforcement Learning 2021-04-22 07:42:30 134.0 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
125 Trading-Gym https://github.com/thedimlebowski/Trading-Gym NEW Deep Learning And Reinforcement Learning 2021-05-15 23:25:58 509.0 147.0 3.0 2017-06-13 13:14:48 2017-07-10 08:09:30 thedimlebowski/Trading-Gym inactive 39:11.1
126 rl_trading https://github.com/ucaiado/rl_trading NEW Deep Learning And Reinforcement Learning 2021-05-13 17:59:54 213.0 89.0 1.0 2017-05-29 22:19:00 2017-08-29 14:54:50 ucaiado/rl_trading inactive 39:11.1
127 AI Trading https://github.com/borisbanushev/stockpredictionai/blob/master/readme2.md AI to predict stock market movements. Deep Learning And Reinforcement Learning 2021-05-22 21:52:02 2941.0 1411.0 1.0 2019-01-09 08:02:47 2019-02-11 16:32:47 borisbanushev/stockpredictionai inactive 5.0
128 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 2021-05-22 18:04:27 245.0 110.0 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
129 TradingGym https://github.com/cove9988/TradingGym NEW Deep Learning And Reinforcement Learning 2021-05-17 02:51:50 113.0 39.0 3.0 2017-11-06 00:50:01 2017-11-15 23:55:32 cove9988/TradingGym inactive 39:11.1
130 BitcoinForecast https://github.com/PiSimo/BitcoinForecast RNN model to predict short term price movement (in this case BTC for the next 9 minutes) [deepchart](https://pisimo.github.io/DeepChart/) is used to visualize the model Deep Learning And Reinforcement Learning 2021-05-18 17:50:13 300.0 131.0 3.0 2017-03-10 10:52:02 2018-06-11 08:07:02 PiSimo/BitcoinForecast inactive 3.0 3/31/21 8:00
131 QLearning_Trading https://github.com/ucaiado/QLearning_Trading NEW Deep Learning And Reinforcement Learning 2021-05-18 13:41:49 439.0 170.0 1.0 2016-08-10 06:02:23 2016-10-15 02:36:09 ucaiado/QLearning_Trading inactive 39:11.1
132 a3c_trading https://github.com/evgps/a3c_trading NEW Deep Learning And Reinforcement Learning 2021-05-11 15:56:21 315.0 99.0 1.0 2018-06-04 15:30:16 2020-05-23 14:47:54 evgps/a3c_trading active 39:11.1
133 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 2021-05-22 02:21:14 629.0 277.0 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
134 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
135 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 2021-05-11 08:29:30 265.0 146.0 1.0 2017-08-21 16:00:42 2017-08-21 17:23:48 sonaam1234/DeepLearningInFinance inactive 3.0 3/31/21 8:00
136 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 2021-05-22 15:32:29 611.0 148.0 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
137 trading-bot https://github.com/pskrunner14/trading-bot Implementation of deep reinforcement learning using Deep Q Network (DQN). Only supports single security at the moment. Idea is roughly based [here](https://keon.github.io/deep-q-learning/) and uses tensorflow/keras. Interesting helper python libraries used here are [tqdm](https://tqdm.github.io/) for console based progress bar and [altair](https://altair-viz.github.io/) for declarative visualization in python Deep Learning And Reinforcement Learning 2021-05-10 16:43:24 309.0 158.0 1.0 2018-08-13 10:44:08 2020-01-23 04:41:20 pskrunner14/trading-bot active 3.0 3/31/21 8:00
138 LTSM Recurrent https://github.com/VivekPa/AIAlpha OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network. Deep Learning And Reinforcement Learning 2021-05-21 22:59:03 1229.0 375.0 2.0 2018-10-07 03:58:26 2019-08-03 09:00:44 VivekPa/AIAlpha active 4.0
139 TradingGym https://github.com/Yvictor/TradingGym NEW Deep Learning And Reinforcement Learning 2021-05-21 12:00:29 861.0 241.0 2.0 2017-05-01 13:53:32 2018-02-14 13:58:18 Yvictor/TradingGym inactive 39:11.1
140 Deep Learning IV https://github.com/achillesrasquinha/bulbea Bulbea: Deep Learning based Python Library. Deep Learning And Reinforcement Learning 2021-05-22 18:59:47 1490.0 419.0 1.0 2017-03-09 06:11:06 2017-03-19 07:42:49 achillesrasquinha/bulbea inactive 5.0
141 maro https://github.com/microsoft/maro NEW Deep Learning And Reinforcement Learning 2021-05-23 00:04:22 418.0 74.0 18.0 2019-12-27 06:48:27 2021-05-17 06:58:43 microsoft/maro active 39:11.1
142 RL https://github.com/kh-kim/stock_market_reinforcement_learning OpenGym with Deep Q-learning and Policy Gradient. Deep Learning And Reinforcement Learning 2021-05-19 03:34:31 719.0 301.0 1.0 2016-10-04 14:42:19 2016-12-23 07:34:08 kh-kim/stock_market_reinforcement_learning inactive 2.0
gym-trading https://github.com/hackthemarket/gym-trading NEW Deep Learning And Reinforcement Learning 2021-05-09 12:09:21 589.0 197.0 2.0 2016-12-09 20:46:19 2017-12-24 15:34:37 hackthemarket/gym-trading inactive 39:11.1
143 RL III https://github.com/samre12/deep-trading-agent Github -Deep Reinforcement Learning based Trading Agent for Bitcoin. Deep Learning And Reinforcement Learning 2021-05-22 23:44:36 583.0 204.0 1.0 2017-09-21 17:05:19 2018-04-13 16:33:21 samre12/deep-trading-agent inactive 3.0
144 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 2021-05-18 11:42:10 1343.0 467.0 15.0 2019-04-27 18:35:15 2019-10-17 16:25:49 notadamking/RLTrader active 5.0 3/31/21 8:00
145 Neural Network https://github.com/VivekPa/IntroNeuralNetworks Neural networks to predict stock prices. Deep Learning And Reinforcement Learning 2021-05-18 09:19:24 508.0 179.0 2.0 2018-09-10 06:34:53 2018-11-21 07:39:31 VivekPa/IntroNeuralNetworks inactive 4.0
148 Pair-Trading-Reinforcement-Learning https://github.com/wai-i/Pair-Trading-Reinforcement-Learning NEW Deep Learning And Reinforcement Learning 2021-05-16 12:25:33 141.0 58.0 1.0 2019-06-09 22:50:37 2020-01-03 15:36:22 wai-i/Pair-Trading-Reinforcement-Learning active 39:11.1
149 ARIMA-LTSM Hybrid https://github.com/imhgchoi/Corr_Prediction_ARIMA_LSTM_Hybrid Hybrid model to predict future price correlation coefficients of two assets. Deep Learning And Reinforcement Learning 2021-04-11 04:12:38 222.0 87.0 1.0 2018-08-05 02:13:21 2018-10-01 11:25:53 imhgchoi/ARIMA-LSTM-hybrid-corrcoef-predict inactive 3.0
150 RL IV https://github.com/jjakimoto/DQN Reinforcement Learning for finance. Deep Learning And Reinforcement Learning 2021-04-05 11:42:45 142.0 55.0 1.0 2016-10-21 02:47:17 2017-04-07 08:11:57 jjakimoto/DQN inactive
151 LTSM Recurrent gym-trading https://github.com/VivekPa/AIAlpha https://github.com/hackthemarket/gym-trading OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network. NEW Deep Learning And Reinforcement Learning 2021-05-21 22:59:03 2021-05-09 12:09:21 1229.0 589.0 375.0 197.0 2.0 2018-10-07 03:58:26 2016-12-09 20:46:19 2019-08-03 09:00:44 2017-12-24 15:34:37 VivekPa/AIAlpha hackthemarket/gym-trading active inactive 4.0 39:11.1
152 trading-rl https://github.com/Kostis-S-Z/trading-rl Deep reinforcement learning for financial trading using [gym](https://gym.openai.com/) and [keras-rl](https://github.com/keras-rl/keras-rl) on FX dataset (EURUSD) not actively maintained Deep Learning And Reinforcement Learning 2021-04-13 09:54:54 181.0 38.0 2.0 2019-04-22 10:03:21 2020-09-28 09:07:18 Kostis-S-Z/trading-rl active 3.0 3/31/21 8:00
tensortrade https://github.com/tensortrade-org/tensortrade NEW Deep Learning And Reinforcement Learning 2021-05-22 16:43:45 3216.0 747.0 41.0 2019-07-30 21:28:32 2021-05-21 06:09:22 tensortrade-org/tensortrade active 39:11.1
RL II https://github.com/deependersingla/deep_trader reinforcement learning on stock market and agent tries to learn trading. Deep Learning And Reinforcement Learning 2021-05-22 12:17:18 1345.0 490.0 3.0 2016-06-11 07:27:10 2018-01-22 14:35:50 deependersingla/deep_trader inactive 3.0
Deep-Reinforcement-Stock-Trading https://github.com/Albert-Z-Guo/Deep-Reinforcement-Stock-Trading inspired by Q-trader a deep reinforcement learning repo for trading. Only 3 actions allowed (buy/hold/sell) and no transaction cost is implemented yet. Uses [empyrical](https://github.com/quantopian/empyrical) for portfolio stats Deep Learning And Reinforcement Learning 2021-05-21 09:55:43 151.0 45.0 2.0 2019-05-19 22:20:05 2020-09-27 19:22:28 Albert-Z-Guo/Deep-Reinforcement-Stock-Trading active 3.0 3/31/21 8:00
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 2021-05-22 18:02:30 3887.0 1614.0 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
Machine-Learning-and-Reinforcement-Learning-in-Finance https://github.com/joelowj/Machine-Learning-and-Reinforcement-Learning-in-Finance NEW Deep Learning And Reinforcement Learning 2021-05-21 15:31:54 179.0 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 Learning https://github.com/keon/deepstock Technical experimentations to beat the stock market using deep learning. Deep Learning And Reinforcement Learning 2021-05-02 20:44:37 427.0 154.0 2.0 2016-12-12 02:15:12 2017-03-04 08:37:29 keon/deepstock inactive 4.0
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 2021-05-21 12:44:28 327.0 161.0 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
FinRL https://github.com/AI4Finance-LLC/FinRL NEW Deep Learning And Reinforcement Learning 2021-05-22 19:44:04 2064.0 521.0 22.0 2020-07-26 13:18:16 2021-05-05 14:56:35 AI4Finance-LLC/FinRL active 13:03.7
153 Deep Learning II https://github.com/LiamConnell/deep-algotrading/tree/master/notebooks Tensorflow Regression. Deep Learning And Reinforcement Learning 2021-05-17 11:55:44 178.0 68.0 1.0 2016-07-12 12:56:10 2018-02-16 02:43:36 LiamConnell/deep-algotrading inactive 3.0
154 TradingGym FinRL https://github.com/Yvictor/TradingGym https://github.com/AI4Finance-LLC/FinRL NEW Deep Learning And Reinforcement Learning 2021-05-21 12:00:29 2021-05-22 19:44:04 861.0 2064.0 241.0 521.0 2.0 22.0 2017-05-01 13:53:32 2020-07-26 13:18:16 2018-02-14 13:58:18 2021-05-05 14:56:35 Yvictor/TradingGym AI4Finance-LLC/FinRL inactive active 39:11.1 13:03.7
155 Deep Learning IV Deep Learning https://github.com/achillesrasquinha/bulbea https://github.com/keon/deepstock Bulbea: Deep Learning based Python Library. Technical experimentations to beat the stock market using deep learning. Deep Learning And Reinforcement Learning 2021-05-22 18:59:47 2021-05-02 20:44:37 1490.0 427.0 419.0 154.0 1.0 2.0 2017-03-09 06:11:06 2016-12-12 02:15:12 2017-03-19 07:42:49 2017-03-04 08:37:29 achillesrasquinha/bulbea keon/deepstock inactive 5.0 4.0
156 trading-bot Machine-Learning-and-Reinforcement-Learning-in-Finance https://github.com/pskrunner14/trading-bot https://github.com/joelowj/Machine-Learning-and-Reinforcement-Learning-in-Finance Implementation of deep reinforcement learning using Deep Q Network (DQN). Only supports single security at the moment. Idea is roughly based [here](https://keon.github.io/deep-q-learning/) and uses tensorflow/keras. Interesting helper python libraries used here are [tqdm](https://tqdm.github.io/) for console based progress bar and [altair](https://altair-viz.github.io/) for declarative visualization in python NEW Deep Learning And Reinforcement Learning 2021-05-10 16:43:24 2021-05-21 15:31:54 309.0 179.0 158.0 97.0 1.0 2018-08-13 10:44:08 2018-06-26 04:30:08 2020-01-23 04:41:20 2018-09-23 16:50:33 pskrunner14/trading-bot joelowj/Machine-Learning-and-Reinforcement-Learning-in-Finance active inactive 3.0 3/31/21 8:00 39:11.1
157 DeepLearningInFinance Advanced-Deep-Trading https://github.com/sonaam1234/DeepLearningInFinance https://github.com/Rachnog/Advanced-Deep-Trading 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. 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 2021-05-11 08:29:30 2021-05-21 12:44:28 265.0 327.0 146.0 161.0 1.0 2.0 2017-08-21 16:00:42 2019-02-16 21:18:00 2017-08-21 17:23:48 2020-11-29 20:12:59 sonaam1234/DeepLearningInFinance Rachnog/Advanced-Deep-Trading inactive active 3.0 3/31/21 8:00
158 Deep-Learning-Machine-Learning-Stock Deep-Reinforcement-Stock-Trading https://github.com/LastAncientOne/Deep-Learning-Machine-Learning-Stock https://github.com/Albert-Z-Guo/Deep-Reinforcement-Stock-Trading 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 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 2021-05-20 21:52:03 2021-05-21 09:55:43 302.0 151.0 108.0 45.0 1.0 2.0 2018-09-29 23:38:06 2019-05-19 22:20:05 2021-05-18 02:58:12 2020-09-27 19:22:28 LastAncientOne/Deep-Learning-Machine-Learning-Stock Albert-Z-Guo/Deep-Reinforcement-Stock-Trading active 3.0 3/31/21 8:00
159 Deep Learning III RL II https://github.com/Rachnog/Deep-Trading https://github.com/deependersingla/deep_trader Algorithmic trading with deep learning experiments. reinforcement learning on stock market and agent tries to learn trading. Deep Learning And Reinforcement Learning 2021-05-20 21:38:04 2021-05-22 12:17:18 1273.0 1345.0 682.0 490.0 1.0 3.0 2016-06-18 18:23:06 2016-06-11 07:27:10 2018-08-07 15:24:45 2018-01-22 14:35:50 Rachnog/Deep-Trading deependersingla/deep_trader inactive 5.0 3.0
160 Deep-Reinforcement-Learning-in-Trading tensortrade https://github.com/saeed349/Deep-Reinforcement-Learning-in-Trading https://github.com/tensortrade-org/tensortrade Deep reinforcement learning for trading leveraging [openai gym](https://gym.openai.com/) framework. Keras implementation of DQN DDQN (double deep Q network) and DDDQN (dueling double dqn) trained/tested on s&p 500 daily data from 2013 to 2018. approach is described in an article [here](https://www.linkedin.com/pulse/deep-reinforcement-learning-trading-saeed-rahman) NEW Deep Learning And Reinforcement Learning 2021-05-22 12:17:38 2021-05-22 16:43:45 145.0 3216.0 71.0 747.0 1.0 41.0 2018-05-11 00:52:14 2019-07-30 21:28:32 2019-10-26 14:22:44 2021-05-21 06:09:22 saeed349/Deep-Reinforcement-Learning-in-Trading tensortrade-org/tensortrade active 3.0 3/31/21 8:00 39:11.1
161 FinRL-Library Stock-Prediction-Models https://github.com/AI4Finance-LLC/FinRL-Library https://github.com/huseinzol05/Stock-Prediction-Models 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 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 2021-05-22 19:44:04 2021-05-22 18:02:30 2064.0 3887.0 521.0 1614.0 22.0 2.0 2020-07-26 13:18:16 2017-12-18 10:49:59 2021-05-05 14:56:35 2021-01-05 10:31:50 AI4Finance-LLC/FinRL huseinzol05/Stock-Prediction-Models active 5.0 3/31/21 8:00
162 DQN-DDPG_Stock_Trading gs-quant https://github.com/AI4Finance-LLC/DQN-DDPG_Stock_Trading https://github.com/goldmansachs/gs-quant merged into FinRL library and uses [gym](https://gym.openai.com/) and implementation of DQN NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-05-20 11:56:53 2021-05-23 00:43:42 142.0 622.0 54.0 183.0 4.0 12.0 2018-09-19 03:17:06 2018-12-14 21:10:40 2020-11-26 16:58:00 2021-05-21 16:33:24 AI4Finance-LLC/DQN-DDPG_Stock_Trading goldmansachs/gs-quant active 3.0 3/31/21 8:00 23:51.4
163 LTSM GRU MarketAnalysis https://github.com/RajatHanda/Finance-Forecasting https://github.com/Poseyy/MarketAnalysis Stock Market Forecasting using LSTM\GRU. NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-03-29 23:59:32 2021-05-11 10:05:43 11.0 175.0 6.0 78.0 1.0 2018-05-13 02:39:32 2019-03-28 19:46:34 2019-02-25 00:26:42 2020-08-06 05:15:46 RajatHanda/Finance-Forecasting Poseyy/MarketAnalysis inactive active 3.0 23:51.4
164 RLQuant robin_stocks https://github.com/yuriak/RLQuant https://github.com/jmfernandes/robin_stocks NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-05-11 19:40:02 2021-05-21 21:33:45 277.0 1072.0 94.0 284.0 1.0 36.0 2018-04-05 05:42:44 2018-02-23 00:49:37 2018-08-13 04:18:29 2021-05-12 02:21:21 yuriak/RLQuant jmfernandes/robin_stocks inactive active 39:11.1 23:51.4
165 Pair Trading RL openAlgo https://github.com/shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading https://github.com/mtompkins/openAlgo Using deep actor-critic model to learn best strategies in pair trading. NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-05-19 03:36:13 2021-04-23 13:20:12 246.0 161.0 116.0 82.0 1.0 2.0 2017-05-18 16:47:11 2013-05-28 14:46:53 2017-05-18 16:56:38 2017-03-24 20:00:24 shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading mtompkins/openAlgo inactive 3.0 23:51.4
166 crypto-rl Derivative Markets https://github.com/sadighian/crypto-rl https://github.com/broughtj/Fin6470/tree/master/Notebooks 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) The economics of futures, futures, options, and swaps. Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-05-22 09:34:45 2021-04-15 16:03:10 369.0 8.0 115.0 8.0 1.0 2018-06-21 01:06:01 2016-02-09 05:30:27 2020-11-05 11:08:19 2021-04-15 16:02:59 sadighian/crypto-rl broughtj/Fin6470 active 3.0 3/31/21 8:00
167 pairstrade-fyp-2019 FinancePy https://github.com/wywongbd/pairstrade-fyp-2019 https://github.com/domokane/FinancePy NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-05-12 00:28:30 2021-05-21 20:27:12 115.0 482.0 42.0 80.0 2.0 6.0 2018-09-07 07:51:06 2019-10-27 15:04:56 2020-05-13 05:06:51 2021-03-11 21:40:14 wywongbd/pairstrade-fyp-2019 domokane/FinancePy active 39:11.1 23:51.4
168 AutomatedStockTrading-DeepQ-Learning Derivatives Python https://github.com/sachink2010/AutomatedStockTrading-DeepQ-Learning https://github.com/yhilpisch/dawp/tree/master/python36 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 Derivative analytics with Python. Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-04-22 07:42:30 2021-05-14 07:21:16 134.0 397.0 53.0 302.0 2.0 1.0 2019-02-23 12:01:21 2015-07-09 12:27:29 2020-02-25 18:16:34 2021-02-22 13:29:18 sachink2010/AutomatedStockTrading-DeepQ-Learning yhilpisch/dawp active 3.0 3/31/21 8:00
169 awesome-deep-trading Computational Derivatives https://github.com/cbailes/awesome-deep-trading https://github.com/chenbowen184/Computational_Finance curated list of papers/repos on topics like CNN/LSTM/GAN/Reinforcement Learning etc. Categorized as deep learning for now but there are other topics here. Manually maintained by cbailes Projects focusing on investigating simulations and computational techniques applied in finance. Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-05-22 15:32:29 2021-05-18 09:14:31 611.0 19.0 148.0 12.0 1.0 2018-11-26 03:23:04 2018-01-29 05:01:52 2021-01-01 09:41:21 2018-08-02 05:56:49 cbailes/awesome-deep-trading chen-bowen/Computational_Finance active inactive 4.0 3/31/21 8:00
170 rl_trading Derman https://github.com/ucaiado/rl_trading https://github.com/rstreppa/valuation-convertibles-Goldman1994/blob/master/ConvertibleBond_Goldman1994_Derman.ipynb NEW Binomial tree for American call. Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-05-13 17:59:54 2020-10-06 20:37:15 213.0 1.0 89.0 3.0 1.0 2017-05-29 22:19:00 2018-05-18 18:08:16 2017-08-29 14:54:50 2018-09-21 19:59:01 ucaiado/rl_trading rstreppa/valuation-convertibles-Goldman1994 inactive 39:11.1
171 AI Trading Black Scholes https://github.com/borisbanushev/stockpredictionai/blob/master/readme2.md https://github.com/irajwani/numerical_methods_python/blob/master/black_scholes.ipynb AI to predict stock market movements. Options pricing. Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-05-22 21:52:02 2020-10-06 20:36:29 2941.0 1.0 1411.0 2.0 1.0 0.0 2019-01-09 08:02:47 2017-12-09 18:50:20 2019-02-11 16:32:47 2018-07-09 09:48:36 borisbanushev/stockpredictionai irajwani/numerical_methods_python inactive 5.0
172 deep-RL-trading fast_arrow https://github.com/golsun/deep-RL-trading https://github.com/westonplatter/fast_arrow trading game comparing RNN vs CNN vs MLP based on [paper](https://arxiv.org/abs/1803.03916) NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-05-22 18:04:27 2021-05-20 12:43:34 245.0 129.0 110.0 42.0 1.0 5.0 2018-02-25 17:41:42 2018-07-19 23:15:25 2020-12-01 22:06:39 2020-04-18 18:05:37 golsun/deep-RL-trading westonplatter/fast_arrow active 3.0 3/31/21 8:00 23:51.4
173 TradingGym StockSharp https://github.com/cove9988/TradingGym https://github.com/StockSharp/StockSharp NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-05-17 02:51:50 2021-05-22 21:53:26 113.0 4060.0 39.0 1262.0 3.0 17.0 2017-11-06 00:50:01 2014-12-08 07:53:44 2017-11-15 23:55:32 2021-05-17 19:52:45 cove9988/TradingGym StockSharp/StockSharp inactive active 39:11.1 23:51.4
174 Trading-Gym Strata https://github.com/thedimlebowski/Trading-Gym https://github.com/OpenGamma/Strata NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-05-15 23:25:58 2021-05-18 09:17:00 509.0 618.0 147.0 218.0 3.0 42.0 2017-06-13 13:14:48 2014-06-16 11:45:55 2017-07-10 08:09:30 2021-05-04 10:15:30 thedimlebowski/Trading-Gym OpenGamma/Strata inactive active 39:11.1 23:51.4
175 BitcoinForecast Hull White https://github.com/PiSimo/BitcoinForecast https://github.com/rstreppa/valuation-callables-HullWhite/blob/master/CallableBond_HullWhite.ipynb 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 Callable Bond, Hull White. Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-05-18 17:50:13 2020-10-06 20:37:16 300.0 4.0 131.0 6.0 3.0 1.0 2017-03-10 10:52:02 2018-06-06 22:06:06 2018-06-11 08:07:02 2018-06-06 22:27:02 PiSimo/BitcoinForecast rstreppa/valuation-callables-HullWhite inactive 3.0 3/31/21 8:00
176 QLearning_Trading Options https://github.com/ucaiado/QLearning_Trading https://github.com/QuantConnect/Tutorials/tree/master/06%20Introduction%20to%20Options%5B%5D NEW Introduction to options. Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-05-18 13:41:49 2021-05-21 03:33:30 439.0 343.0 170.0 167.0 1.0 36.0 2016-08-10 06:02:23 2017-07-28 15:48:29 2016-10-15 02:36:09 2021-03-17 17:17:08 ucaiado/QLearning_Trading QuantConnect/Tutorials inactive active 39:11.1
177 a3c_trading QLNet https://github.com/evgps/a3c_trading https://github.com/amaggiulli/QLNet NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-05-11 15:56:21 2021-05-19 02:54:53 315.0 265.0 99.0 134.0 1.0 13.0 2018-06-04 15:30:16 2013-08-22 14:51:43 2020-05-23 14:47:54 2021-03-02 18:39:41 evgps/a3c_trading amaggiulli/QLNet active 39:11.1 23:51.4
178 Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020 Options https://github.com/AI4Finance-LLC/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020 https://github.com/PHBS/2018.M1.ASP/tree/master/py 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. Black Scholes and Copula. Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-05-22 02:21:14 629.0 277.0 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 PHBS/2018.M1.ASP active 4.0 3/31/21 8:00
179 RL Trading wallstreet https://colab.research.google.com/drive/1FzLCI0AO3c7A4bp9Fi01UwXeoc7BN8sW https://github.com/mcdallas/wallstreet A collection of 25+ Reinforcement Learning Trading Strategies -Google Colab. NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-05-20 12:34:22 587.0 128.0 2.0 2016-01-20 22:03:39 2019-08-09 23:14:52 mcdallas/wallstreet active 4.0 23:51.4
180 Volatility and Variance Derivatives https://github.com/yhilpisch/lvvd/tree/master/lvvd Volatility derivatives analytics. Derivatives and Hedging 2021-05-18 13:36:49 83.0 78.0 1.0 2016-10-21 04:12:50 2021-05-15 10:12:38 yhilpisch/lvvd active
181 akshare https://github.com/jindaxiang/akshare NEW Derivatives and Hedging 2021-05-22 23:25:57 3539.0 722.0 11.0 2019-10-01 07:34:12 2021-05-22 07:47:58 jindaxiang/akshare active 23:51.4
182 trading-server https://github.com/s-brez/trading-server NEW Derivatives and Hedging 2021-05-22 02:43:56 233.0 56.0 2.0 2019-03-05 03:06:19 2021-03-08 02:37:08 s-brez/trading-server active 23:51.4
183 huobi_futures_Python https://github.com/hbdmapi/huobi_futures_Python NEW Derivatives and Hedging 2021-05-22 07:52:02 174.0 87.0 2.0 2020-01-14 07:21:39 2021-05-06 03:44:14 hbdmapi/huobi_futures_Python active 23:51.4
184 Option Strategies https://github.com/rstreppa/valuation-OptionStrategies Valuation of Vanilla and Exotic option strategies (Butterfly, Risk Reversal etc.) with widget animations. Derivatives and Hedging 2021-02-27 08:50:16 2.0 3.0 1.0 2018-05-22 18:27:26 2018-05-22 18:30:24 rstreppa/valuation-OptionStrategies inactive
185 tda-api https://github.com/alexgolec/tda-api NEW Derivatives and Hedging 2021-05-22 03:22:11 691.0 180.0 16.0 2020-04-03 21:19:12 2021-05-21 04:08:41 alexgolec/tda-api active 23:51.4
paperbroker https://github.com/philipodonnell/paperbroker NEW Derivatives and Hedging 2021-05-17 12:37:19 179.0 49.0 3.0 2017-07-06 02:04:51 2018-04-08 18:37:57 philipodonnell/paperbroker inactive 23:51.4
186 Reinforcement Learning https://github.com/FinTechies/HedgingRL Hedging portfolios with reinforcement learning. Derivatives and Hedging 2021-01-20 08:12:13 16.0 9.0 1.0 2017-04-21 10:58:56 2017-08-02 21:41:06 FinTechies/HedgingRL inactive
187 quant-trading https://github.com/je-suis-tm/quant-trading NEW Derivatives and Hedging 2021-05-21 14:42:48 1885.0 502.0 2.0 2018-04-03 14:08:14 2021-04-13 18:37:15 je-suis-tm/quant-trading active 23:51.4
188 Options-Trading-Strategies-in-Python https://github.com/PyPatel/Options-Trading-Strategies-in-Python NEW Derivatives and Hedging 2021-05-18 07:27:20 337.0 134.0 1.0 2017-08-30 06:00:15 2019-08-21 15:47:57 PyPatel/Options-Trading-Strategies-in-Python active 23:51.4
189 optopsy https://github.com/michaelchu/optopsy NEW Derivatives and Hedging 2021-05-20 19:13:27 412.0 89.0 3.0 2017-09-17 01:49:54 2021-05-14 14:33:10 michaelchu/optopsy active 23:51.4
190 tf-quant-finance paperbroker https://github.com/google/tf-quant-finance https://github.com/philipodonnell/paperbroker NEW Derivatives and Hedging 2021-05-22 17:12:58 2021-05-17 12:37:19 2629.0 179.0 340.0 49.0 29.0 3.0 2019-07-24 16:09:50 2017-07-06 02:04:51 2021-05-21 13:47:54 2018-04-08 18:37:57 google/tf-quant-finance philipodonnell/paperbroker active inactive 23:51.4
191 FinanceDatabase https://github.com/JerBouma/FinanceDatabase NEW Derivatives and Hedging 2021-05-20 05:54:46 647.0 74.0 1.0 2021-01-28 18:36:09 2021-04-20 14:43:09 JerBouma/FinanceDatabase active 23:51.4
192 tai https://github.com/fremantle-industries/tai NEW Derivatives and Hedging 2021-05-23 00:06:18 288.0 47.0 6.0 2017-07-28 03:07:18 2021-05-21 23:03:53 fremantle-industries/tai active 23:51.4
193 algotrader https://github.com/torreyleonard/algotrader NEW Derivatives and Hedging 2021-05-17 05:06:38 485.0 103.0 12.0 2018-04-10 02:31:26 2020-08-27 08:16:44 torreyleonard/algotrader active 23:51.4
195 Delta Hedging https://github.com/RobinsonGarcia/delta-hedging Advanced derivatives. Derivatives and Hedging 2021-02-27 08:48:27 3.0 2.0 1.0 2018-03-02 23:53:53 2018-07-17 23:32:23 RobinsonGarcia/delta-hedging inactive
196 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
197 Options_Data_Science https://github.com/yugedata/Options_Data_Science NEW Derivatives and Hedging 2021-05-19 18:24:05 243.0 41.0 1.0 2020-12-09 04:51:20 2021-05-13 04:13:21 yugedata/Options_Data_Science active 23:51.4
198 tf-quant-finance https://github.com/google/tf-quant-finance NEW Derivatives and Hedging 2021-05-22 17:12:58 2629.0 340.0 29.0 2019-07-24 16:09:50 2021-05-21 13:47:54 google/tf-quant-finance active 23:51.4
199 AlgorithmicTrading https://github.com/JerBouma/AlgorithmicTrading NEW Derivatives and Hedging 2021-05-22 08:50:36 186.0 55.0 1.0 2019-03-14 09:33:37 2021-02-03 22:29:07 JerBouma/AlgorithmicTrading active 23:51.4
akshare https://github.com/jindaxiang/akshare NEW Derivatives and Hedging 2021-05-22 23:25:57 3539.0 722.0 11.0 2019-10-01 07:34:12 2021-05-22 07:47:58 jindaxiang/akshare active 23:51.4
trading-server https://github.com/s-brez/trading-server NEW Derivatives and Hedging 2021-05-22 02:43:56 233.0 56.0 2.0 2019-03-05 03:06:19 2021-03-08 02:37:08 s-brez/trading-server active 23:51.4
wallstreet https://github.com/mcdallas/wallstreet NEW Derivatives and Hedging 2021-05-20 12:34:22 587.0 128.0 2.0 2016-01-20 22:03:39 2019-08-09 23:14:52 mcdallas/wallstreet active 23:51.4
QLNet https://github.com/amaggiulli/QLNet NEW Derivatives and Hedging 2021-05-19 02:54:53 265.0 134.0 13.0 2013-08-22 14:51:43 2021-03-02 18:39:41 amaggiulli/QLNet active 23:51.4
gs-quant https://github.com/goldmansachs/gs-quant NEW Derivatives and Hedging 2021-05-23 00:43:42 622.0 183.0 12.0 2018-12-14 21:10:40 2021-05-21 16:33:24 goldmansachs/gs-quant active 23:51.4
robin_stocks https://github.com/jmfernandes/robin_stocks NEW Derivatives and Hedging 2021-05-21 21:33:45 1072.0 284.0 36.0 2018-02-23 00:49:37 2021-05-12 02:21:21 jmfernandes/robin_stocks active 23:51.4
openAlgo https://github.com/mtompkins/openAlgo NEW Derivatives and Hedging 2021-04-23 13:20:12 161.0 82.0 2.0 2013-05-28 14:46:53 2017-03-24 20:00:24 mtompkins/openAlgo inactive 23:51.4
Derivative Markets https://github.com/broughtj/Fin6470/tree/master/Notebooks The economics of futures, futures, options, and swaps. Derivatives and Hedging 2021-04-15 16:03:10 8.0 8.0 1.0 2016-02-09 05:30:27 2021-04-15 16:02:59 broughtj/Fin6470 active
FinancePy https://github.com/domokane/FinancePy NEW Derivatives and Hedging 2021-05-21 20:27:12 482.0 80.0 6.0 2019-10-27 15:04:56 2021-03-11 21:40:14 domokane/FinancePy active 23:51.4
Derivatives Python https://github.com/yhilpisch/dawp/tree/master/python36 Derivative analytics with Python. Derivatives and Hedging 2021-05-14 07:21:16 397.0 302.0 1.0 2015-07-09 12:27:29 2021-02-22 13:29:18 yhilpisch/dawp active
MarketAnalysis https://github.com/Poseyy/MarketAnalysis NEW Derivatives and Hedging 2021-05-11 10:05:43 175.0 78.0 1.0 2019-03-28 19:46:34 2020-08-06 05:15:46 Poseyy/MarketAnalysis active 23:51.4
Computational Derivatives https://github.com/chenbowen184/Computational_Finance Projects focusing on investigating simulations and computational techniques applied in finance. Derivatives and Hedging 2021-05-18 09:14:31 19.0 12.0 1.0 2018-01-29 05:01:52 2018-08-02 05:56:49 chen-bowen/Computational_Finance inactive
Options https://github.com/PHBS/2018.M1.ASP/tree/master/py Black Scholes and Copula. Derivatives and Hedging PHBS/2018.M1.ASP
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 2021-05-18 13:36:49 83.0 78.0 1.0 2016-10-21 04:12:50 2021-05-15 10:12:38 yhilpisch/lvvd active
fast_arrow https://github.com/westonplatter/fast_arrow NEW Derivatives and Hedging 2021-05-20 12:43:34 129.0 42.0 5.0 2018-07-19 23:15:25 2020-04-18 18:05:37 westonplatter/fast_arrow active 23:51.4
Derman https://github.com/rstreppa/valuation-convertibles-Goldman1994/blob/master/ConvertibleBond_Goldman1994_Derman.ipynb Binomial tree for American call. Derivatives and Hedging 2020-10-06 20:37:15 1.0 3.0 1.0 2018-05-18 18:08:16 2018-09-21 19:59:01 rstreppa/valuation-convertibles-Goldman1994 inactive
Strata https://github.com/OpenGamma/Strata NEW Derivatives and Hedging 2021-05-18 09:17:00 618.0 218.0 42.0 2014-06-16 11:45:55 2021-05-04 10:15:30 OpenGamma/Strata active 23:51.4
Hull White https://github.com/rstreppa/valuation-callables-HullWhite/blob/master/CallableBond_HullWhite.ipynb Callable Bond, Hull White. Derivatives and Hedging 2020-10-06 20:37:16 4.0 6.0 1.0 2018-06-06 22:06:06 2018-06-06 22:27:02 rstreppa/valuation-callables-HullWhite inactive
Options https://github.com/QuantConnect/Tutorials/tree/master/06%20Introduction%20to%20Options%5B%5D Introduction to options. Derivatives and Hedging 2021-05-21 03:33:30 343.0 167.0 36.0 2017-07-28 15:48:29 2021-03-17 17:17:08 QuantConnect/Tutorials active
StockSharp https://github.com/StockSharp/StockSharp NEW Derivatives and Hedging 2021-05-22 21:53:26 4060.0 1262.0 17.0 2014-12-08 07:53:44 2021-05-17 19:52:45 StockSharp/StockSharp active 23:51.4
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
graph-fraud-detection-papers https://github.com/safe-graph/graph-fraud-detection-papers NEW Extended Research 2021-05-22 08:25:40 378.0 68.0 2.0 2019-11-21 05:39:23 2021-05-11 04:34:17 safe-graph/graph-fraud-detection-papers active 2021-04-21 01:25:51.827641
roq-samples https://github.com/roq-trading/roq-samples NEW Extended Research 2021-05-22 06:16:34 59.0 24.0 3.0 2018-03-27 04:19:09 2021-05-22 06:14:42 roq-trading/roq-samples active 2021-05-05 01:50:21.293278
talkingdata-adtracking-fraud-detection https://github.com/flowlight0/talkingdata-adtracking-fraud-detection NEW Extended Research 2021-04-22 06:10:23 203.0 54.0 1.0 2018-03-21 11:27:31 2018-06-10 15:30:50 flowlight0/talkingdata-adtracking-fraud-detection inactive 2021-04-21 01:25:51.827641
StockPredictionRNN https://github.com/dzitkowskik/StockPredictionRNN NEW Extended Research 2021-05-22 11:05:01 496.0 215.0 2.0 2015-11-26 19:00:35 2016-05-21 15:51:22 dzitkowskik/StockPredictionRNN inactive 2021-04-21 01:25:51.827641
fraud-detection-demo https://github.com/afedulov/fraud-detection-demo NEW Extended Research 2021-05-21 10:33:08 169.0 70.0 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
fraud-detection-using-machine-learning https://github.com/awslabs/fraud-detection-using-machine-learning NEW Extended Research 2021-05-18 19:25:08 92.0 59.0 6.0 2019-05-17 17:12:46 2021-05-18 19:25:06 awslabs/fraud-detection-using-machine-learning active 2021-04-21 01:25:51.827641
High-Frequency-Trading-Simulation-System https://github.com/chenhaotian/High-Frequency-Trading-Simulation-System NEW Extended Research 2021-05-21 16:30:46 51.0 25.0 1.0 2016-06-14 13:50:39 2018-04-16 08:48:10 chenhaotian/High-Frequency-Trading-Simulation-System inactive 2021-04-21 01:25:51.827641
FraudDetection-Microservices https://github.com/melofred/FraudDetection-Microservices NEW Extended Research 2021-02-16 00:13:03 85.0 49.0 1.0 2016-06-08 23:24:21 2017-01-18 17:52:01 melofred/FraudDetection-Microservices inactive 2021-04-21 01:25:51.827641
getIPIntel https://github.com/blackdotsh/getIPIntel NEW Extended Research 2021-05-15 08:35:04 152.0 31.0 4.0 2015-10-02 21:40:50 2021-01-24 01:09:18 blackdotsh/getIPIntel active 2021-04-21 01:25:51.827641
fx_systrade https://github.com/ryogrid/fx_systrade NEW Extended Research 2021-05-09 01:04:16 81.0 29.0 2.0 2015-07-24 11:46:28 2020-10-23 10:17:01 ryogrid/fx_systrade active 2021-04-21 01:25:51.827641
HFT_Bitcoin https://github.com/ghgr/HFT_Bitcoin NEW Extended Research 2021-05-07 12:27:55 72.0 23.0 1.0 2017-07-27 07:11:48 2017-08-21 14:50:35 ghgr/HFT_Bitcoin inactive 2021-04-21 01:25:51.827641
Fraud_Detection_Techniques https://github.com/wmlba/Fraud_Detection_Techniques NEW Extended Research 2021-05-13 07:14:15 62.0 34.0 1.0 2019-02-14 02:27:13 2020-06-14 23:36:47 wmlba/Fraud_Detection_Techniques active 2021-04-21 01:25:51.827641
FX-Trading-with-Python-and-Oanda https://github.com/anthonyng2/FX-Trading-with-Python-and-Oanda NEW Extended Research 2021-02-20 20:49:53 57.0 42.0 1.0 2017-02-23 07:48:12 2017-08-14 03:21:30 anthonyng2/FX-Trading-with-Python-and-Oanda inactive 2021-04-21 01:25:51.827641
FX-1-Minute-Data https://github.com/philipperemy/FX-1-Minute-Data NEW Extended Research 2021-05-20 08:29:05 286.0 110.0 3.0 2017-05-22 03:24:35 2020-04-08 03:32:23 philipperemy/FX-1-Minute-Data active 2021-04-21 01:25:51.827641
fingerprintjs https://github.com/fingerprintjs/fingerprintjs NEW Extended Research 2021-05-22 21:42:11 13629.0 1629.0 66.0 2015-02-11 08:49:54 2021-05-12 02:28:17 fingerprintjs/fingerprintjs active 2021-04-21 01:25:51.827641
math-finance-cheat-sheet https://github.com/daleroberts/math-finance-cheat-sheet NEW Extended Research 2021-05-12 21:24:49 191.0 30.0 1.0 2014-05-02 00:19:01 2016-11-16 05:57:09 daleroberts/math-finance-cheat-sheet inactive 2021-04-21 01:25:51.827641
kafka-fraud-detector https://github.com/florimondmanca/kafka-fraud-detector NEW Extended Research 2021-04-23 11:08:55 60.0 44.0 3.0 2018-09-13 17:36:49 2019-04-29 22:04:23 florimondmanca/kafka-fraud-detector inactive 2021-04-21 01:25:51.827641
bot18 https://github.com/carlos8f/bot18 NEW Extended Research 2021-05-15 18:12:08 164.0 31.0 2.0 2018-05-23 14:22:25 2018-10-17 08:06:21 carlos8f/bot18 inactive 2021-04-21 01:25:51.827641
Fraud-detection-using-deep-learning https://github.com/aaxwaz/Fraud-detection-using-deep-learning NEW Extended Research 2021-03-10 20:47:39 103.0 56.0 1.0 2017-06-18 12:35:24 2017-12-06 13:51:54 aaxwaz/Fraud-detection-using-deep-learning inactive 2021-04-21 01:25:51.827641
beymani https://github.com/pranab/beymani NEW Extended Research 2021-05-21 02:36:21 112.0 59.0 0.0 2012-01-04 07:22:01 2021-05-08 15:21:52 pranab/beymani active 2021-04-21 01:25:51.827641
tradingrrl https://github.com/darden1/tradingrrl NEW Extended Research 2021-05-05 10:46:14 60.0 33.0 1.0 2017-03-05 07:20:56 2018-11-14 13:19:52 darden1/tradingrrl inactive 2021-04-21 01:25:51.827641
UGFraud https://github.com/safe-graph/UGFraud NEW Extended Research 2021-05-24 11:06:31 55.0 15.0 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
High-Frequency-Trading-Model-with-IB https://github.com/jamesmawm/High-Frequency-Trading-Model-with-IB NEW Extended Research 2021-05-22 00:42:59 1846.0 550.0 2.0 2014-05-18 19:20:13 2019-06-21 14:58:07 jamesmawm/High-Frequency-Trading-Model-with-IB active 2021-04-21 01:25:51.827641
Trading-Bot https://github.com/RaidasGrisk/Trading-Bot NEW Extended Research 2021-05-10 21:09:44 76.0 30.0 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
awesome-fraud-detection-papers https://github.com/benedekrozemberczki/awesome-fraud-detection-papers NEW Extended Research 2021-05-19 14:23:50 869.0 184.0 4.0 2019-05-27 10:23:22 2021-04-03 10:45:01 benedekrozemberczki/awesome-fraud-detection-papers active 2021-04-21 01:25:51.827641
roq-api https://github.com/roq-trading/roq-api NEW Extended Research 2021-05-22 11:20:24 153.0 46.0 1.0 2018-03-05 08:37:57 2021-04-15 04:00:44 roq-trading/roq-api active 2021-04-21 01:25:51.827641
fraud-detection https://github.com/yazanobeidi/fraud-detection NEW Extended Research 2021-04-06 09:02:18 61.0 34.0 1.0 2017-08-04 15:03:47 2017-08-05 15:38:45 yazanobeidi/fraud-detection inactive 2021-04-21 01:25:51.827641
math-php https://github.com/markrogoyski/math-php NEW Extended Research 2021-05-21 21:32:13 1909.0 200.0 17.0 2016-04-03 17:57:14 2021-05-09 19:53:17 markrogoyski/math-php active 2021-04-21 01:25:51.827641
Fraud_Detector https://github.com/kskk02/Fraud_Detector NEW Extended Research 2021-05-19 15:04:04 58.0 35.0 1.0 2014-07-03 20:52:51 2015-01-15 22:03:04 kskk02/Fraud_Detector inactive 2021-04-21 01:25:51.827641
gym-fx https://github.com/harveybc/gym-fx NEW Extended Research 2021-05-19 00:21:40 156.0 42.0 1.0 2017-02-21 21:04:09 2020-06-03 21:03:14 harveybc/gym-fx active 2021-04-21 01:25:51.827641
InteractiveBrokers-Algo-System https://github.com/rediar/InteractiveBrokers-Algo-System NEW Extended Research 2021-05-07 19:42:59 154.0 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
ml-fraud-detection https://github.com/georgymh/ml-fraud-detection NEW Extended Research 2021-04-23 23:59:07 121.0 92.0 2.0 2017-04-27 01:48:35 2018-01-31 21:17:26 georgymh/ml-fraud-detection inactive 2021-04-21 01:25:51.827641
TalkingData https://github.com/CuteChibiko/TalkingData NEW Extended Research 2021-04-27 08:30:50 100.0 39.0 1.0 2018-05-09 15:17:45 2018-05-11 01:32:26 CuteChibiko/TalkingData inactive 2021-04-21 01:25:51.827641
crypto-database https://github.com/ivopetiz/crypto-database NEW Extended Research 2021-05-08 01:46:09 57.0 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
DGFraud https://github.com/safe-graph/DGFraud NEW Extended Research 2021-05-20 14:36:12 308.0 83.0 4.0 2019-11-22 14:02:36 2020-12-26 16:32:18 safe-graph/DGFraud active 2021-04-21 01:25:51.827641
wtpy https://github.com/wondertrader/wtpy NEW Extended Research 2021-05-19 14:36:25 69.0 21.0 1.0 2020-06-18 01:43:25 2021-04-14 08:51:54 wondertrader/wtpy active 2021-04-21 01:25:51.827641
PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop https://github.com/TheSnowGuru/PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop NEW Extended Research 2021-05-22 18:45:33 132.0 38.0 2.0 2020-07-05 07:59:38 2021-05-05 20:28:46 TheSnowGuru/PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop active 2021-04-21 01:25:51.827641
Krypto-trading-bot https://github.com/ctubio/Krypto-trading-bot NEW Extended Research 2021-05-22 15:32:34 2236.0 610.0 49.0 2017-06-13 20:15:54 2021-05-07 12:56:36 ctubio/Krypto-trading-bot active 2021-04-21 01:25:51.827641
fraud-detection-papers https://github.com/IPL/fraud-detection-papers NEW Extended Research 2021-05-22 22:10:10 131.0 31.0 1.0 2017-09-29 02:47:54 2021-02-03 09:47:27 IPL/fraud-detection-papers active 2021-04-21 01:25:51.827641
wattnet-fx-trading https://github.com/Zymrael/wattnet-fx-trading NEW Extended Research 2021-05-22 08:30:01 60.0 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
exchange-core https://github.com/mzheravin/exchange-core NEW Extended Research 2021-05-22 11:08:20 895.0 411.0 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
TradingStrategies https://github.com/SoftAlgoTrade/TradingStrategies NEW Extended Research 2021-05-16 20:09:45 117.0 55.0 1.0 2017-05-22 20:46:35 2017-10-29 11:09:37 SoftAlgoTrade/TradingStrategies inactive 2021-04-21 01:25:51.827641
algotrading https://github.com/ivopetiz/algotrading NEW Extended Research 2021-05-22 22:08:43 317.0 80.0 3.0 2018-07-10 22:10:41 2021-05-22 22:08:16 ivopetiz/algotrading active 2021-04-21 01:25:51.827641
wondertrader https://github.com/wondertrader/wondertrader NEW Extended Research 2021-05-22 00:10:14 257.0 66.0 2.0 2020-03-30 05:43:52 2021-04-14 08:07:18 wondertrader/wondertrader active 2021-04-21 01:25:51.827641
fecon236 https://github.com/MathSci/fecon236 NEW Extended Research 2021-05-05 08:23:20 75.0 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 2021-02-01 12:13:52 84.0 55.0 8.0 2013-04-11 16:14:53 2020-07-02 15:32:31 BillRun/system active 2021-04-21 01:25:51.827641
Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras https://github.com/curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras NEW Extended Research 2021-05-12 09:36:45 346.0 238.0 1.0 2017-06-09 13:58:13 2019-06-28 09:27:45 curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras active 2021-04-21 01:25:51.827641
Computational Finance https://github.com/lnsongxf/Applied_Computational_Economics_and_Finance Applied Computational Economics and Finance. Extended Research 2021-05-21 02:57:11 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
tectonicdb https://github.com/0b01/tectonicdb NEW Extended Research 2021-05-20 22:19:22 343.0 54.0 10.0 2017-10-03 00:34:01 2020-09-08 23:02:20 0b01/tectonicdb active 2021-04-21 01:25:51.827641
hummingbot_chinese https://github.com/CoinAlpha/hummingbot_chinese NEW Extended Research 2021-05-22 01:06:40 148.0 27.0 5.0 2019-06-05 22:53:04 2021-05-21 00:36:05 CoinAlpha/hummingbot_chinese active 2021-04-21 01:25:51.827641
ReactiveTraderCloud https://github.com/AdaptiveConsulting/ReactiveTraderCloud NEW Extended Research 2021-05-20 12:47:54 1581.0 501.0 81.0 2015-11-13 19:24:11 2021-05-10 13:20:10 AdaptiveConsulting/ReactiveTraderCloud active 2021-04-21 01:25:51.827641
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
algo-trader-tool-suite https://github.com/K0414/algo-trader-tool-suite NEW Extended Research 2021-04-15 04:00:52 58.0 52.0 1.0 2013-10-24 14:57:12 2013-10-24 15:01:56 K0414/algo-trader-tool-suite inactive 2021-04-21 01:25:51.827641
HFT https://github.com/rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy High frequency trading. Extended Research 2021-05-16 05:14:25 774.0 338.0 1.0 2016-07-21 05:14:14 2017-02-14 16:47:25 rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy inactive
example-hftish https://github.com/alpacahq/example-hftish NEW Extended Research 2021-05-22 10:35:54 383.0 167.0 3.0 2019-01-25 14:56:38 2019-10-25 02:16:27 alpacahq/example-hftish active 2021-04-21 01:25:51.827641
OpenHFT https://github.com/OpenHFT/OpenHFT NEW Extended Research 2021-05-22 08:52:10 471.0 150.0 33.0 2013-12-26 10:22:00 2021-05-22 08:52:05 OpenHFT/OpenHFT active 2021-04-21 01:25:51.827641
hft https://github.com/nickhuangxinyu/hft NEW Extended Research 2021-05-22 12:58:32 153.0 73.0 2.0 2019-03-12 14:57:01 2021-05-07 04:09:18 nickhuangxinyu/hft active 2021-04-21 01:25:51.827641
HFT-Orderbook https://github.com/Crypto-toolbox/HFT-Orderbook NEW Extended Research 2021-05-22 09:34:04 433.0 145.0 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
Bayesian Finance https://github.com/marketneutral/alphatools/blob/master/notebooks/pymc3-minimal.ipynb Notebook PyMC3 implementation. Extended Research 2021-05-22 04:29:43 246.0 58.0 1.0 2018-08-28 14:45:00 2020-08-06 22:03:47 marketneutral/alphatools 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
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 2021-05-13 21:05:04 51.0 20.0 1.0 2017-11-27 06:37:43 2019-01-08 18:13:34 SheikhRabiul/A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market inactive 2021-04-21 01:25:51.827641
HFT-CNN https://github.com/ShimShim46/HFT-CNN NEW Extended Research 2021-05-10 14:09:50 72.0 18.0 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
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
200 ITCH https://github.com/martinobdl/ITCH NEW Extended Research 2021-05-12 02:47:46 68.0 27.0 3.0 2019-03-09 18:20:12 2020-07-25 10:24:10 martinobdl/ITCH active 2021-04-21 01:25:51.827641
201 freqtrade_bot https://github.com/michael-fourie/freqtrade_bot NEW Extended Research 2021-05-22 08:37:20 66.0 24.0 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
202 go-quantcup https://github.com/rdingwall/go-quantcup NEW Extended Research 2021-05-16 22:40:27 73.0 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
203 Financial-Formulas-Library-.NET-Standard avellaneda-stoikov https://github.com/srbrettle/Financial-Formulas-Library-.NET-Standard https://github.com/ragoragino/avellaneda-stoikov NEW Extended Research 2021-05-20 07:46:01 2021-04-06 09:40:48 107.0 56.0 31.0 19.0 2.0 1.0 2018-09-01 17:43:37 2017-10-21 20:53:00 2019-11-22 12:50:30 2017-10-30 18:23:27 srbrettle/Financial-Formulas-Library-.NET-Standard ragoragino/avellaneda-stoikov active inactive 2021-04-21 01:25:51.827641
204 Chronicle-Accelerate https://github.com/OpenHFT/Chronicle-Accelerate NEW Extended Research 2020-12-11 04:11:30 55.0 12.0 7.0 2018-01-24 08:52:53 2018-08-11 12:11:43 OpenHFT/Chronicle-Accelerate inactive 2021-04-21 01:25:51.827641
205 2018-Kaggle-AdTrackingFraud https://github.com/ShawnyXiao/2018-Kaggle-AdTrackingFraud NEW Extended Research 2021-05-21 03:36:04 72.0 23.0 1.0 2018-05-08 09:29:46 2019-01-12 07:57:33 ShawnyXiao/2018-Kaggle-AdTrackingFraud inactive 2021-04-21 01:25:51.827641
avellaneda-stoikov https://github.com/ragoragino/avellaneda-stoikov NEW Extended Research 2021-04-06 09:40:48 56.0 19.0 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
206 finmath-lib https://github.com/finmath/finmath-lib NEW Extended Research 2021-05-14 01:11:12 316.0 125.0 16.0 2013-03-17 10:00:22 2021-03-13 21:37:31 finmath/finmath-lib active 2021-04-21 01:25:51.827641
207 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
208 Financial-Formulas-Library-.NET-Standard https://github.com/srbrettle/Financial-Formulas-Library-.NET-Standard NEW Extended Research 2021-05-20 07:46:01 107.0 31.0 2.0 2018-09-01 17:43:37 2019-11-22 12:50:30 srbrettle/Financial-Formulas-Library-.NET-Standard active 2021-04-21 01:25:51.827641
209 HFT-CNN https://github.com/ShimShim46/HFT-CNN NEW Extended Research 2021-05-10 14:09:50 72.0 18.0 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
210 algo-trader-tool-suite https://github.com/K0414/algo-trader-tool-suite NEW Extended Research 2021-04-15 04:00:52 58.0 52.0 1.0 2013-10-24 14:57:12 2013-10-24 15:01:56 K0414/algo-trader-tool-suite inactive 2021-04-21 01:25:51.827641
211 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
212 Bayesian Finance https://github.com/marketneutral/alphatools/blob/master/notebooks/pymc3-minimal.ipynb Notebook PyMC3 implementation. Extended Research 2021-05-22 04:29:43 246.0 58.0 1.0 2018-08-28 14:45:00 2020-08-06 22:03:47 marketneutral/alphatools active
213 HFT-Orderbook https://github.com/Crypto-toolbox/HFT-Orderbook NEW Extended Research 2021-05-22 09:34:04 433.0 145.0 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
214 hft https://github.com/nickhuangxinyu/hft NEW Extended Research 2021-05-22 12:58:32 153.0 73.0 2.0 2019-03-12 14:57:01 2021-05-07 04:09:18 nickhuangxinyu/hft active 2021-04-21 01:25:51.827641
215 OpenHFT https://github.com/OpenHFT/OpenHFT NEW Extended Research 2021-05-22 08:52:10 471.0 150.0 33.0 2013-12-26 10:22:00 2021-05-22 08:52:05 OpenHFT/OpenHFT active 2021-04-21 01:25:51.827641
216 example-hftish https://github.com/alpacahq/example-hftish NEW Extended Research 2021-05-22 10:35:54 383.0 167.0 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
217 HFT https://github.com/rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy High frequency trading. Extended Research 2021-05-16 05:14:25 774.0 338.0 1.0 2016-07-21 05:14:14 2017-02-14 16:47:25 rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy inactive
218 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
219 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
220 ReactiveTraderCloud https://github.com/AdaptiveConsulting/ReactiveTraderCloud NEW Extended Research 2021-05-20 12:47:54 1581.0 501.0 81.0 2015-11-13 19:24:11 2021-05-10 13:20:10 AdaptiveConsulting/ReactiveTraderCloud active 2021-04-21 01:25:51.827641
221 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 2021-05-13 21:05:04 51.0 20.0 1.0 2017-11-27 06:37:43 2019-01-08 18:13:34 SheikhRabiul/A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market inactive 2021-04-21 01:25:51.827641
222 Financial Economics https://github.com/rsvp/fecon235/tree/master/nb Financial Economics Models. Extended Research 2021-05-18 07:37:23 721.0 280.0 2.0 2014-11-09 04:49:01 2018-12-03 16:30:28 rsvp/fecon235 inactive
MIDAS https://github.com/Stream-AD/MIDAS NEW Extended Research 2021-05-15 16:22:28 610.0 71.0 3.0 2019-10-23 03:50:50 2021-04-11 02:23:01 Stream-AD/MIDAS active 2021-04-21 01:25:51.827641
SumZeroTrading https://github.com/rterp/SumZeroTrading NEW Extended Research 2021-04-11 21:34:51 128.0 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
kungfu https://github.com/kungfu-origin/kungfu NEW Extended Research 2021-05-21 11:40:08 2355.0 860.0 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
448Project https://github.com/HujiaYuYoyo/448Project NEW Extended Research 2021-04-23 14:39:33 66.0 44.0 4.0 2018-04-14 21:19:21 2018-06-10 09:29:37 HujiaYuYoyo/448Project inactive 2021-04-21 01:25:51.827641
Liquidity and Momentum https://github.com/mrefermat/quant_finance Various factors and portfolio constructions. Extended Research 2021-04-20 13:01:20 30.0 17.0 1.0 2018-08-11 22:59:53 2019-11-12 04:49:01 mrefermat/quant_finance active
Commodity https://github.com/felipessalvatore/fin2vec/blob/master/src/Commodity2BR.ipynb Commodity influence over Brazilian stocks. Extended Research felipessalvatore/fin2vec
M&A https://github.com/atulram/Finance-and-Stocks Mergers and Acquisitions. Extended Research 2020-12-21 14:42:43 3.0 3.0 1.0 2019-01-19 18:16:47 2019-02-18 16:57:19 atulram/Finance-and-Stocks inactive
Mathematical Finance https://github.com/Auquan/Tutorials Notebooks for math and financial tutorials. Extended Research 2021-05-06 11:40:27 680.0 439.0 9.0 2017-01-21 11:24:18 2020-08-01 17:03:32 Auquan/Tutorials active
Economic Foundations https://github.com/SeanMcOwen/FinanceAndPython.com-EconomicFoundations Basic economic models. Extended Research 2020-10-06 21:01:59 2.0 3.0 1.0 2017-05-25 02:27:36 2017-06-30 03:53:59 SeanMcOwen/FinanceAndPython.com-EconomicFoundations inactive
223 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
224 Market Crash Prediction SumZeroTrading https://github.com/sarachmax/MarketCrashes_Prediction/blob/master/LPPL_Comparasion.ipynb https://github.com/rterp/SumZeroTrading Predicting market crashes using an LPPL model. NEW Extended Research 2020-10-06 21:01:42 2021-04-11 21:34:51 1.0 128.0 3.0 44.0 1.0 2019-01-24 13:37:45 2016-01-19 05:43:31 2019-02-13 16:48:00 2018-08-30 22:44:52 sarachmax/MarketCrashes_Prediction rterp/SumZeroTrading inactive 2021-04-21 01:25:51.827641
225 Life-cycle hummingbot_chinese https://github.com/atulram/Finance-and-Stocks/blob/master/CompanyLifeCycle.ipynb https://github.com/CoinAlpha/hummingbot_chinese Company life cycle. NEW Extended Research 2020-12-21 14:42:43 2021-05-22 01:06:40 3.0 148.0 3.0 27.0 1.0 5.0 2019-01-19 18:16:47 2019-06-05 22:53:04 2019-02-18 16:57:19 2021-05-21 00:36:05 atulram/Finance-and-Stocks CoinAlpha/hummingbot_chinese inactive 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
spartan https://github.com/rigtorp/spartan NEW Extended Research 2021-05-08 13:01:46 166.0 62.0 1.0 2012-11-22 04:29:42 2015-10-31 03:46:06 rigtorp/spartan inactive 2021-04-21 01:25:51.827641
Backtests https://github.com/AlgoTraders/stock-analysis-engine Trading data and algorithms. Extended Research 2021-05-20 17:12:10 640.0 173.0 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
NLP Finance Papers https://github.com/chenbowen184/Research_Documents_Curation_with_NLP Curating quantitative finance papers using machine learning. Extended Research 2021-02-27 06:33:23 8.0 9.0 1.0 2018-10-11 20:32:37 2018-12-24 23:27:55 chen-bowen/Research_Documents_Curation_with_NLP inactive
Deep Portfolio https://github.com/DLColumbia/DL_forFinance Deep learning for finance Predict volume of bonds. Extended Research 2021-01-12 11:48:27 27.0 19.0 2.0 2018-05-08 19:34:17 2018-05-09 15:39:25 DLColumbia/DL_forFinance inactive
tribeca https://github.com/michaelgrosner/tribeca NEW Extended Research 2021-05-22 21:53:33 3522.0 897.0 22.0 2015-07-07 18:40:45 2018-02-26 18:01:13 michaelgrosner/tribeca inactive 2021-04-21 01:25:51.827641
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
High Frequency https://github.com/cswaney/prickle A Python toolkit for high-frequency trade research. Extended Research 2021-05-17 16:19:32 25.0 17.0 2.0 2016-07-06 20:32:21 2018-06-09 10:53:51 cswaney/prickle inactive
Applied Corporate Finance https://github.com/chenbowen184/Data_Science_in_Applied_Corporate_Finance Studies the empirical behaviours in stock market. Extended Research 2021-02-19 13:40:37 8.0 9.0 1.0 2018-01-29 05:14:52 2018-07-19 06:25:36 chen-bowen/Data_Science_in_Applied_Corporate_Finance inactive
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
226 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
227 Stock-Prediction Real Estate Property Fraud https://github.com/Ronak-59/Stock-Prediction https://github.com/aviroop1/Real_Estate_Property_Fraud NEW Unsupervised fraud detection model that can identify likely candidates of fraud. Factor and Risk Analysis Extended Research 2021-05-21 17:30:59 138.0 67.0 2.0 2018-03-18 04:54:45 2020-02-28 11:43:07 Ronak-59/Stock-Prediction aviroop1/Real_Estate_Property_Fraud active 37:06.3
228 Machine_learning_In_Finance Applied Corporate Finance https://github.com/chaudharigauravi/Machine_learning_In_Finance https://github.com/chenbowen184/Data_Science_in_Applied_Corporate_Finance NEW Studies the empirical behaviours in stock market. Factor and Risk Analysis Extended Research 2020-11-27 19:23:33 2021-02-19 13:40:37 8.0 3.0 9.0 1.0 2019-08-03 04:04:51 2018-01-29 05:14:52 2019-08-03 04:05:32 2018-07-19 06:25:36 chaudharigauravi/Machine_learning_In_Finance chen-bowen/Data_Science_in_Applied_Corporate_Finance active inactive 23:57.7
229 stock-market-analysis-using-python-numpy-pandas High Frequency https://github.com/Ashishsinha10/stock-market-analysis-using-python-numpy-pandas https://github.com/cswaney/prickle NEW A Python toolkit for high-frequency trade research. Factor and Risk Analysis Extended Research 2021-03-21 08:50:27 2021-05-17 16:19:32 8.0 25.0 5.0 17.0 1.0 2.0 2018-04-10 05:15:49 2016-07-06 20:32:21 2018-04-10 05:28:54 2018-06-09 10:53:51 Ashishsinha10/stock-market-analysis-using-python-numpy-pandas cswaney/prickle inactive 23:57.7
230 VaR GaN HFTrader https://github.com/hamaadshah/market_risk_gan_keras https://github.com/DrAshBooth/HFTrader Estimate Value-at-Risk for market risk management using Keras and TensorFlow. NEW Factor and Risk Analysis Extended Research 2021-05-12 13:42:40 2021-05-04 20:42:44 43.0 70.0 28.0 43.0 1.0 0.0 2018-08-06 16:09:44 2012-12-03 13:57:19 2020-11-22 19:02:07 2012-12-12 17:17:09 hamaadshah/market_risk_gan_tensorflow DrAshBooth/HFTrader active inactive 2021-04-21 01:25:51.827641
231 Factor Analysis tribeca https://github.com/alpha-miner/alpha-mind/tree/master/notebooks https://github.com/michaelgrosner/tribeca Factor strategy notebooks. NEW Factor and Risk Analysis Extended Research 2021-05-03 00:32:55 2021-05-22 21:53:33 174.0 3522.0 59.0 897.0 3.0 22.0 2017-05-01 07:36:54 2015-07-07 18:40:45 2021-04-07 15:25:27 2018-02-26 18:01:13 alpha-miner/alpha-mind michaelgrosner/tribeca active inactive 2021-04-21 01:25:51.827641
232 Factor Analysis Deep Portfolio https://github.com/garvit-kudesia91/factor_analysis/blob/master/Factor%20Analysis%20of%20Mutual%20Funds.ipynb https://github.com/DLColumbia/DL_forFinance Factor analysis for mutual funds. Deep learning for finance Predict volume of bonds. Factor and Risk Analysis Extended Research 2020-12-21 14:26:46 2021-01-12 11:48:27 3.0 27.0 4.0 19.0 1.0 2.0 2018-03-13 07:39:20 2018-05-08 19:34:17 2018-03-13 07:42:36 2018-05-09 15:39:25 garvit-kudesia91/factor_analysis DLColumbia/DL_forFinance inactive
233 AlphaTrading NLP Finance Papers https://github.com/jerryxyx/AlphaTrading https://github.com/chenbowen184/Research_Documents_Curation_with_NLP NEW Curating quantitative finance papers using machine learning. Factor and Risk Analysis Extended Research 2021-05-17 14:26:06 2021-02-27 06:33:23 149.0 8.0 76.0 9.0 1.0 2018-05-18 22:09:52 2018-10-11 20:32:37 2018-08-07 18:05:37 2018-12-24 23:27:55 jerryxyx/AlphaTrading chen-bowen/Research_Documents_Curation_with_NLP inactive 37:06.3
234 Various Risk Measures Behavioural Economics https://github.com/Jorgencr/Alternative-and-Responsible-Investments/blob/master/Final_masterfile.ipynb https://github.com/pcmichaud/notebooks Risk measures and factors for alternative and responsible investments. Behavioural Economics and Finance Python Notebooks. Factor and Risk Analysis Extended Research 2020-11-04 07:04:38 2021-02-03 07:22:40 4.0 9.0 5.0 4.0 1.0 2017-08-07 14:44:32 2018-12-20 00:21:38 2017-08-08 22:52:11 2019-03-26 11:51:46 Jorgencr/Alternative-and-Responsible-Investments pcmichaud/notebooks inactive
235 simulate MIDAS https://github.com/leolle/simulate https://github.com/Stream-AD/MIDAS NEW Factor and Risk Analysis Extended Research 2021-03-23 13:34:53 2021-05-15 16:22:28 11.0 610.0 2.0 71.0 1.0 3.0 2017-06-04 15:18:21 2019-10-23 03:50:50 2018-11-11 14:03:40 2021-04-11 02:23:01 leolle/simulate Stream-AD/MIDAS inactive active 23:57.7 2021-04-21 01:25:51.827641
236 Pyfolio Backtests https://github.com/quantopian/pyfolio https://github.com/AlgoTraders/stock-analysis-engine Portfolio and risk analytics in Python. Trading data and algorithms. Factor and Risk Analysis Extended Research 2021-05-23 00:28:15 2021-05-20 17:12:10 3781.0 640.0 1200.0 173.0 42.0 3.0 2015-06-01 15:31:39 2018-09-16 20:00:36 2020-02-28 17:30:19 2020-09-05 13:01:05 quantopian/pyfolio AlgoTraders/stock-analysis-engine active
237 Python for Finance Critical Transitions https://github.com/yhilpisch/py4fi/tree/master/jupyter36 https://github.com/ryanholbrook/critical-transitions Various financial notebooks. Detecting critical transitions in financial networks with topological data analysis. Factor and Risk Analysis Extended Research 2021-05-22 22:40:31 2021-04-19 09:15:38 1312.0 11.0 795.0 3.0 1.0 2014-12-15 11:23:34 2019-01-22 10:59:50 2018-07-10 06:38:12 2019-03-12 18:35:02 yhilpisch/py4fi ryanholbrook/critical-transitions inactive
238 CAPM Life-cycle https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%202%2C%20CAPM.ipynb https://github.com/atulram/Finance-and-Stocks/blob/master/CompanyLifeCycle.ipynb Expected returns using CAPM. Company life cycle. Factor and Risk Analysis Extended Research 2021-03-01 13:53:42 2020-12-21 14:42:43 31.0 3.0 18.0 3.0 1.0 2016-05-10 11:03:48 2019-01-19 18:16:47 2016-05-17 03:44:56 2019-02-18 16:57:19 RJT1990/Active-Portfolio-Management-Notes atulram/Finance-and-Stocks inactive
239 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
240 Economic Foundations https://github.com/SeanMcOwen/FinanceAndPython.com-EconomicFoundations Basic economic models. Extended Research 2020-10-06 21:01:59 2.0 3.0 1.0 2017-05-25 02:27:36 2017-06-30 03:53:59 SeanMcOwen/FinanceAndPython.com-EconomicFoundations inactive
241 Mathematical Finance https://github.com/Auquan/Tutorials Notebooks for math and financial tutorials. Extended Research 2021-05-06 11:40:27 680.0 439.0 9.0 2017-01-21 11:24:18 2020-08-01 17:03:32 Auquan/Tutorials active
242 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
243 Commodity https://github.com/felipessalvatore/fin2vec/blob/master/src/Commodity2BR.ipynb Commodity influence over Brazilian stocks. Extended Research felipessalvatore/fin2vec
244 Liquidity and Momentum https://github.com/mrefermat/quant_finance Various factors and portfolio constructions. Extended Research 2021-04-20 13:01:20 30.0 17.0 1.0 2018-08-11 22:59:53 2019-11-12 04:49:01 mrefermat/quant_finance active
245 448Project https://github.com/HujiaYuYoyo/448Project NEW Extended Research 2021-04-23 14:39:33 66.0 44.0 4.0 2018-04-14 21:19:21 2018-06-10 09:29:37 HujiaYuYoyo/448Project inactive 2021-04-21 01:25:51.827641
246 kungfu https://github.com/kungfu-origin/kungfu NEW Extended Research 2021-05-21 11:40:08 2355.0 860.0 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
247 spartan https://github.com/rigtorp/spartan NEW Extended Research 2021-05-08 13:01:46 166.0 62.0 1.0 2012-11-22 04:29:42 2015-10-31 03:46:06 rigtorp/spartan inactive 2021-04-21 01:25:51.827641
248 tectonicdb https://github.com/0b01/tectonicdb NEW Extended Research 2021-05-20 22:19:22 343.0 54.0 10.0 2017-10-03 00:34:01 2020-09-08 23:02:20 0b01/tectonicdb active 2021-04-21 01:25:51.827641
249 graph-fraud-detection-papers https://github.com/safe-graph/graph-fraud-detection-papers NEW Extended Research 2021-05-22 08:25:40 378.0 68.0 2.0 2019-11-21 05:39:23 2021-05-11 04:34:17 safe-graph/graph-fraud-detection-papers active 2021-04-21 01:25:51.827641
250 Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras https://github.com/curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras NEW Extended Research 2021-05-12 09:36:45 346.0 238.0 1.0 2017-06-09 13:58:13 2019-06-28 09:27:45 curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras active 2021-04-21 01:25:51.827641
251 tradingrrl https://github.com/darden1/tradingrrl NEW Extended Research 2021-05-05 10:46:14 60.0 33.0 1.0 2017-03-05 07:20:56 2018-11-14 13:19:52 darden1/tradingrrl inactive 2021-04-21 01:25:51.827641
252 beymani https://github.com/pranab/beymani NEW Extended Research 2021-05-21 02:36:21 112.0 59.0 0.0 2012-01-04 07:22:01 2021-05-08 15:21:52 pranab/beymani active 2021-04-21 01:25:51.827641
253 Fraud-detection-using-deep-learning https://github.com/aaxwaz/Fraud-detection-using-deep-learning NEW Extended Research 2021-03-10 20:47:39 103.0 56.0 1.0 2017-06-18 12:35:24 2017-12-06 13:51:54 aaxwaz/Fraud-detection-using-deep-learning inactive 2021-04-21 01:25:51.827641
254 bot18 https://github.com/carlos8f/bot18 NEW Extended Research 2021-05-15 18:12:08 164.0 31.0 2.0 2018-05-23 14:22:25 2018-10-17 08:06:21 carlos8f/bot18 inactive 2021-04-21 01:25:51.827641
255 kafka-fraud-detector https://github.com/florimondmanca/kafka-fraud-detector NEW Extended Research 2021-04-23 11:08:55 60.0 44.0 3.0 2018-09-13 17:36:49 2019-04-29 22:04:23 florimondmanca/kafka-fraud-detector inactive 2021-04-21 01:25:51.827641
256 math-finance-cheat-sheet https://github.com/daleroberts/math-finance-cheat-sheet NEW Extended Research 2021-05-12 21:24:49 191.0 30.0 1.0 2014-05-02 00:19:01 2016-11-16 05:57:09 daleroberts/math-finance-cheat-sheet inactive 2021-04-21 01:25:51.827641
257 fingerprintjs https://github.com/fingerprintjs/fingerprintjs NEW Extended Research 2021-05-22 21:42:11 13629.0 1629.0 66.0 2015-02-11 08:49:54 2021-05-12 02:28:17 fingerprintjs/fingerprintjs active 2021-04-21 01:25:51.827641
258 FX-1-Minute-Data https://github.com/philipperemy/FX-1-Minute-Data NEW Extended Research 2021-05-20 08:29:05 286.0 110.0 3.0 2017-05-22 03:24:35 2020-04-08 03:32:23 philipperemy/FX-1-Minute-Data active 2021-04-21 01:25:51.827641
259 FX-Trading-with-Python-and-Oanda https://github.com/anthonyng2/FX-Trading-with-Python-and-Oanda NEW Extended Research 2021-02-20 20:49:53 57.0 42.0 1.0 2017-02-23 07:48:12 2017-08-14 03:21:30 anthonyng2/FX-Trading-with-Python-and-Oanda inactive 2021-04-21 01:25:51.827641
260 Fraud_Detection_Techniques https://github.com/wmlba/Fraud_Detection_Techniques NEW Extended Research 2021-05-13 07:14:15 62.0 34.0 1.0 2019-02-14 02:27:13 2020-06-14 23:36:47 wmlba/Fraud_Detection_Techniques active 2021-04-21 01:25:51.827641
261 fx_systrade https://github.com/ryogrid/fx_systrade NEW Extended Research 2021-05-09 01:04:16 81.0 29.0 2.0 2015-07-24 11:46:28 2020-10-23 10:17:01 ryogrid/fx_systrade active 2021-04-21 01:25:51.827641
262 getIPIntel https://github.com/blackdotsh/getIPIntel NEW Extended Research 2021-05-15 08:35:04 152.0 31.0 4.0 2015-10-02 21:40:50 2021-01-24 01:09:18 blackdotsh/getIPIntel active 2021-04-21 01:25:51.827641
263 FraudDetection-Microservices https://github.com/melofred/FraudDetection-Microservices NEW Extended Research 2021-02-16 00:13:03 85.0 49.0 1.0 2016-06-08 23:24:21 2017-01-18 17:52:01 melofred/FraudDetection-Microservices inactive 2021-04-21 01:25:51.827641
264 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
265 fraud-detection-using-machine-learning https://github.com/awslabs/fraud-detection-using-machine-learning NEW Extended Research 2021-05-18 19:25:08 92.0 59.0 6.0 2019-05-17 17:12:46 2021-05-18 19:25:06 awslabs/fraud-detection-using-machine-learning active 2021-04-21 01:25:51.827641
266 fraud-detection-demo https://github.com/afedulov/fraud-detection-demo NEW Extended Research 2021-05-21 10:33:08 169.0 70.0 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
267 StockPredictionRNN https://github.com/dzitkowskik/StockPredictionRNN NEW Extended Research 2021-05-22 11:05:01 496.0 215.0 2.0 2015-11-26 19:00:35 2016-05-21 15:51:22 dzitkowskik/StockPredictionRNN inactive 2021-04-21 01:25:51.827641
268 talkingdata-adtracking-fraud-detection https://github.com/flowlight0/talkingdata-adtracking-fraud-detection NEW Extended Research 2021-04-22 06:10:23 203.0 54.0 1.0 2018-03-21 11:27:31 2018-06-10 15:30:50 flowlight0/talkingdata-adtracking-fraud-detection inactive 2021-04-21 01:25:51.827641
269 roq-samples https://github.com/roq-trading/roq-samples NEW Extended Research 2021-05-22 06:16:34 59.0 24.0 3.0 2018-03-27 04:19:09 2021-05-22 06:14:42 roq-trading/roq-samples active 2021-05-05 01:50:21.293278
270 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
271 Computational Finance https://github.com/lnsongxf/Applied_Computational_Economics_and_Finance Applied Computational Economics and Finance. Extended Research 2021-05-21 02:57:11 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
272 UGFraud https://github.com/safe-graph/UGFraud NEW Extended Research 2021-05-24 11:06:31 55.0 15.0 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
273 High-Frequency-Trading-Model-with-IB https://github.com/jamesmawm/High-Frequency-Trading-Model-with-IB NEW Extended Research 2021-05-22 00:42:59 1846.0 550.0 2.0 2014-05-18 19:20:13 2019-06-21 14:58:07 jamesmawm/High-Frequency-Trading-Model-with-IB active 2021-04-21 01:25:51.827641
274 HFT_Bitcoin https://github.com/ghgr/HFT_Bitcoin NEW Extended Research 2021-05-07 12:27:55 72.0 23.0 1.0 2017-07-27 07:11:48 2017-08-21 14:50:35 ghgr/HFT_Bitcoin inactive 2021-04-21 01:25:51.827641
275 awesome-fraud-detection-papers https://github.com/benedekrozemberczki/awesome-fraud-detection-papers NEW Extended Research 2021-05-19 14:23:50 869.0 184.0 4.0 2019-05-27 10:23:22 2021-04-03 10:45:01 benedekrozemberczki/awesome-fraud-detection-papers active 2021-04-21 01:25:51.827641
276 Trading-Bot https://github.com/RaidasGrisk/Trading-Bot NEW Extended Research 2021-05-10 21:09:44 76.0 30.0 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
277 fecon236 https://github.com/MathSci/fecon236 NEW Extended Research 2021-05-05 08:23:20 75.0 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
278 wondertrader https://github.com/wondertrader/wondertrader NEW Extended Research 2021-05-22 00:10:14 257.0 66.0 2.0 2020-03-30 05:43:52 2021-04-14 08:07:18 wondertrader/wondertrader active 2021-04-21 01:25:51.827641
279 algotrading https://github.com/ivopetiz/algotrading NEW Extended Research 2021-05-22 22:08:43 317.0 80.0 3.0 2018-07-10 22:10:41 2021-05-22 22:08:16 ivopetiz/algotrading active 2021-04-21 01:25:51.827641
280 TradingStrategies https://github.com/SoftAlgoTrade/TradingStrategies NEW Extended Research 2021-05-16 20:09:45 117.0 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
281 exchange-core https://github.com/mzheravin/exchange-core NEW Extended Research 2021-05-22 11:08:20 895.0 411.0 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
282 fraud-detection-papers https://github.com/IPL/fraud-detection-papers NEW Extended Research 2021-05-22 22:10:10 131.0 31.0 1.0 2017-09-29 02:47:54 2021-02-03 09:47:27 IPL/fraud-detection-papers active 2021-04-21 01:25:51.827641
283 Krypto-trading-bot https://github.com/ctubio/Krypto-trading-bot NEW Extended Research 2021-05-22 15:32:34 2236.0 610.0 49.0 2017-06-13 20:15:54 2021-05-07 12:56:36 ctubio/Krypto-trading-bot active 2021-04-21 01:25:51.827641
284 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 2021-05-22 18:45:33 132.0 38.0 2.0 2020-07-05 07:59:38 2021-05-05 20:28:46 TheSnowGuru/PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop active 2021-04-21 01:25:51.827641
285 wtpy https://github.com/wondertrader/wtpy NEW Extended Research 2021-05-19 14:36:25 69.0 21.0 1.0 2020-06-18 01:43:25 2021-04-14 08:51:54 wondertrader/wtpy active 2021-04-21 01:25:51.827641
286 wattnet-fx-trading https://github.com/Zymrael/wattnet-fx-trading NEW Extended Research 2021-05-22 08:30:01 60.0 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
287 DGFraud https://github.com/safe-graph/DGFraud NEW Extended Research 2021-05-20 14:36:12 308.0 83.0 4.0 2019-11-22 14:02:36 2020-12-26 16:32:18 safe-graph/DGFraud active 2021-04-21 01:25:51.827641
288 roq-api https://github.com/roq-trading/roq-api NEW Extended Research 2021-05-22 11:20:24 153.0 46.0 1.0 2018-03-05 08:37:57 2021-04-15 04:00:44 roq-trading/roq-api active 2021-04-21 01:25:51.827641
289 system https://github.com/BillRun/system NEW Extended Research 2021-02-01 12:13:52 84.0 55.0 8.0 2013-04-11 16:14:53 2020-07-02 15:32:31 BillRun/system active 2021-04-21 01:25:51.827641
290 math-php https://github.com/markrogoyski/math-php NEW Extended Research 2021-05-21 21:32:13 1909.0 200.0 17.0 2016-04-03 17:57:14 2021-05-09 19:53:17 markrogoyski/math-php active 2021-04-21 01:25:51.827641
291 Fraud_Detector https://github.com/kskk02/Fraud_Detector NEW Extended Research 2021-05-19 15:04:04 58.0 35.0 1.0 2014-07-03 20:52:51 2015-01-15 22:03:04 kskk02/Fraud_Detector inactive 2021-04-21 01:25:51.827641
292 gym-fx https://github.com/harveybc/gym-fx NEW Extended Research 2021-05-19 00:21:40 156.0 42.0 1.0 2017-02-21 21:04:09 2020-06-03 21:03:14 harveybc/gym-fx active 2021-04-21 01:25:51.827641
293 fraud-detection https://github.com/yazanobeidi/fraud-detection NEW Extended Research 2021-04-06 09:02:18 61.0 34.0 1.0 2017-08-04 15:03:47 2017-08-05 15:38:45 yazanobeidi/fraud-detection inactive 2021-04-21 01:25:51.827641
294 ml-fraud-detection https://github.com/georgymh/ml-fraud-detection NEW Extended Research 2021-04-23 23:59:07 121.0 92.0 2.0 2017-04-27 01:48:35 2018-01-31 21:17:26 georgymh/ml-fraud-detection inactive 2021-04-21 01:25:51.827641
295 TalkingData https://github.com/CuteChibiko/TalkingData NEW Extended Research 2021-04-27 08:30:50 100.0 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
296 crypto-database https://github.com/ivopetiz/crypto-database NEW Extended Research 2021-05-08 01:46:09 57.0 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
297 InteractiveBrokers-Algo-System https://github.com/rediar/InteractiveBrokers-Algo-System NEW Extended Research 2021-05-07 19:42:59 154.0 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
298 TradeFinexLive https://github.com/XinFinOrg/TradeFinexLive NEW Factor and Risk Analysis 2021-03-18 09:48:52 5.0 12.0 8.0 2018-03-21 10:05:22 2021-03-18 09:48:32 XinFinOrg/TradeFinexLive active 23:57.7
Convex Optimisation https://github.com/ssanderson/convex-optimization-for-finance/blob/master/notebooks/Main.ipynb Convex Optimization for Finance. Factor and Risk Analysis 2021-04-08 19:02:22 18.0 10.0 1.0 2018-06-26 20:36:47 2019-10-22 21:56:46 ssanderson/convex-optimization-for-finance active
VaR https://github.com/willb/var-notebook/blob/master/var-notebook/var-pdfs.ipynb Value-at-risk calculations. Factor and Risk Analysis 2021-03-31 02:06:48 10.0 9.0 1.0 2016-11-15 19:24:17 2017-01-14 21:19:30 willb/var-notebook inactive
-L- https://github.com/jettbrains/-L- NEW Factor and Risk Analysis 2021-03-15 03:05:00 6.0 16.0 1.0 2019-10-28 21:50:26 2019-10-28 21:51:19 jettbrains/-L- active 23:57.7
Quantropy https://github.com/AlainDaccache/Quantropy NEW Factor and Risk Analysis 2021-05-18 13:13:27 24.0 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
Performance Analysis https://github.com/quantopian/alphalens Performance analysis of predictive (alpha) stock factors. Factor and Risk Analysis 2021-05-22 11:16:23 1920.0 729.0 17.0 2016-06-03 21:49:15 2020-04-27 18:40:41 quantopian/alphalens active
Quant Finance https://github.com/mrefermat/quant_finance General quant repository. Factor and Risk Analysis 2021-04-20 13:01:20 30.0 17.0 1.0 2018-08-11 22:59:53 2019-11-12 04:49:01 mrefermat/quant_finance active
Risk and Return https://github.com/PyDataBlog/Python-for-Data-Science/tree/master/Tutorials Riskiness of portfolios and assets. Factor and Risk Analysis 2021-05-22 15:29:07 146.0 62.0 2.0 2017-09-12 13:35:09 2020-08-06 12:35:44 PyDataBlog/Python-for-Data-Science active
299 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
300 MagentoExtensions Risk and Return https://github.com/5mehulhelp5/MagentoExtensions https://github.com/PyDataBlog/Python-for-Data-Science/tree/master/Tutorials NEW Riskiness of portfolios and assets. Fixed Income Factor and Risk Analysis 2021-04-28 18:58:25 2021-05-22 15:29:07 107.0 146.0 110.0 62.0 2.0 2014-07-03 05:45:54 2017-09-12 13:35:09 2017-11-24 16:15:49 2020-08-06 12:35:44 5mehulhelp5/MagentoExtensions PyDataBlog/Python-for-Data-Science inactive active 24:33.4
301 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 2021-04-20 13:01:20 25.0 30.0 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
302 Binomial Tree Performance Analysis https://github.com/hy-lei/math-finance-exercise https://github.com/quantopian/alphalens Utility functions in fixed income securities. Performance analysis of predictive (alpha) stock factors. Fixed Income Factor and Risk Analysis 2020-10-06 20:55:18 2021-05-22 11:16:23 1.0 1920.0 2.0 729.0 1.0 17.0 2019-02-02 08:44:14 2016-06-03 21:49:15 2019-05-03 17:16:52 2020-04-27 18:40:41 hy-lei/math-finance-toolbox quantopian/alphalens inactive active
303 rating_history Statistical Finance https://github.com/govwiki/rating_history https://github.com/mrefermat/FinancePhD/tree/master/FinancialExperiments NEW Various financial experiments. Fixed Income Factor and Risk Analysis 2021-05-02 23:24:59 2021-03-30 00:09:28 27.0 21.0 14.0 17.0 1.0 2017-11-23 22:52:14 2015-10-04 09:10:54 2017-12-03 20:42:49 2020-03-28 18:33:58 govwiki/rating_history mrefermat/FinancePhD inactive active 24:33.4
304 Vasicek Quantropy https://github.com/RobinsonGarcia/fixed-income/blob/master/2.0%20Vasicek%20-%20example.ipynb https://github.com/AlainDaccache/Quantropy Bootstrapping and interpolation. NEW Fixed Income Factor and Risk Analysis 2020-12-10 21:20:03 2021-05-18 13:13:27 3.0 24.0 3.0 4.0 1.0 2.0 2018-07-18 19:26:54 2020-06-13 15:34:25 2018-07-18 19:34:48 2021-03-15 01:49:23 RobinsonGarcia/fixed-income AlainDaccache/Quantropy inactive active 2021-05-05 01:50:30.163258
305 woe -L- https://github.com/boredbird/woe https://github.com/jettbrains/-L- NEW Fixed Income Factor and Risk Analysis 2021-05-22 04:02:50 2021-03-15 03:05:00 228.0 6.0 96.0 16.0 1.0 2017-09-11 07:15:04 2019-10-28 21:50:26 2018-03-01 10:45:40 2019-10-28 21:51:19 boredbird/woe jettbrains/-L- inactive active 24:33.4 23:57.7
306 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
307 Convex Optimisation https://github.com/ssanderson/convex-optimization-for-finance/blob/master/notebooks/Main.ipynb Convex Optimization for Finance. Factor and Risk Analysis 2021-04-08 19:02:22 18.0 10.0 1.0 2018-06-26 20:36:47 2019-10-22 21:56:46 ssanderson/convex-optimization-for-finance active
308 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
309 Stock-Prediction https://github.com/Ronak-59/Stock-Prediction NEW Factor and Risk Analysis 2021-05-21 17:30:59 138.0 67.0 2.0 2018-03-18 04:54:45 2020-02-28 11:43:07 Ronak-59/Stock-Prediction active 37:06.3
310 Pyfolio https://github.com/quantopian/pyfolio Portfolio and risk analytics in Python. Factor and Risk Analysis 2021-05-23 00:28:15 3781.0 1200.0 42.0 2015-06-01 15:31:39 2020-02-28 17:30:19 quantopian/pyfolio active
311 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
312 Various Risk Measures https://github.com/Jorgencr/Alternative-and-Responsible-Investments/blob/master/Final_masterfile.ipynb Risk measures and factors for alternative and responsible investments. Factor and Risk Analysis 2020-11-04 07:04:38 4.0 5.0 1.0 2017-08-07 14:44:32 2017-08-08 22:52:11 Jorgencr/Alternative-and-Responsible-Investments inactive
313 AlphaTrading https://github.com/jerryxyx/AlphaTrading NEW Factor and Risk Analysis 2021-05-17 14:26:06 149.0 76.0 1.0 2018-05-18 22:09:52 2018-08-07 18:05:37 jerryxyx/AlphaTrading inactive 37:06.3
314 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
315 Factor Analysis https://github.com/alpha-miner/alpha-mind/tree/master/notebooks Factor strategy notebooks. Factor and Risk Analysis 2021-05-03 00:32:55 174.0 59.0 3.0 2017-05-01 07:36:54 2021-04-07 15:25:27 alpha-miner/alpha-mind active
316 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 2021-05-12 13:42:40 43.0 28.0 1.0 2018-08-06 16:09:44 2020-11-22 19:02:07 hamaadshah/market_risk_gan_tensorflow active
317 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
318 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
319 Python for Finance https://github.com/yhilpisch/py4fi/tree/master/jupyter36 Various financial notebooks. Factor and Risk Analysis 2021-05-22 22:40:31 1312.0 795.0 1.0 2014-12-15 11:23:34 2018-07-10 06:38:12 yhilpisch/py4fi inactive
320 Corporate Bonds https://github.com/ishank011/gs-quantify-bond-prediction Predicting the buying and selling volume of the corporate bonds. Fixed Income 2021-01-03 21:46:55 7.0 5.0 1.0 2017-09-27 19:57:13 2017-09-27 20:00:29 ishank011/gs-quantify-bond-prediction inactive
321 AlphaPy Vasicek https://github.com/ScottfreeLLC/AlphaPy https://github.com/RobinsonGarcia/fixed-income/blob/master/2.0%20Vasicek%20-%20example.ipynb 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 Bootstrapping and interpolation. Other Models Fixed Income 2021-05-20 11:20:12 2020-12-10 21:20:03 590.0 3.0 134.0 3.0 3.0 1.0 2016-02-14 00:47:32 2018-07-18 19:26:54 2021-02-08 21:35:40 2018-07-18 19:34:48 ScottfreeLLC/AlphaPy RobinsonGarcia/fixed-income active inactive 4.0 39:24.6
322 Fundamental LT Forecasts rating_history https://github.com/Hvass-Labs/FinanceOps https://github.com/govwiki/rating_history 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. NEW Other Models Fixed Income 2021-05-23 00:23:28 2021-05-02 23:24:59 397.0 27.0 129.0 14.0 1.0 2018-07-22 08:14:46 2017-11-23 22:52:14 2021-05-18 12:18:31 2017-12-03 20:42:49 Hvass-Labs/FinanceOps govwiki/rating_history active inactive 3.0 24:33.4
323 Pattern-Recognition-for-Forex-Trading woe https://github.com/PythonProgramming/Pattern-Recognition-for-Forex-Trading https://github.com/boredbird/woe 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 NEW Other Models Fixed Income 2021-05-13 10:31:49 2021-05-22 04:02:50 177.0 228.0 92.0 96.0 1.0 2015-03-26 02:22:03 2017-09-11 07:15:04 2015-03-26 02:33:51 2018-03-01 10:45:40 PythonProgramming/Pattern-Recognition-for-Forex-Trading boredbird/woe inactive 1.0 39:24.6 24:33.4
324 finance_ml market-data https://github.com/jjakimoto/finance_ml https://github.com/kriasoft/market-data unofficial repo based on [Advances in Financial Machine Learning](https://www.amazon.com/Advances-Financial-Machine-Learning-Marcos/dp/1119482089). It's incomplete and not updated NEW Other Models Fixed Income 2021-05-19 22:18:51 2020-06-22 10:58:20 286.0 25.0 119.0 20.0 1.0 2018-06-29 21:21:17 2012-12-07 13:42:48 2019-02-18 12:34:54 2012-12-15 12:10:06 jjakimoto/finance_ml kriasoft/market-data inactive 1.0 39:24.6 24:33.4
325 surpriver MagentoExtensions https://github.com/tradytics/surpriver https://github.com/5mehulhelp5/MagentoExtensions Machine learning algo to detect anomaly in equities data. Uses sklearn [IsolationForest](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.IsolationForest.html) model and price/volume based technical signals as features using [ta](https://github.com/bukosabino/ta) library. Opensourced by [tradytics](https://tradytics.com/). Code structures are less extensible NEW Other Models Fixed Income 2021-05-21 13:30:52 2021-04-28 18:58:25 1219.0 107.0 229.0 110.0 6.0 2.0 2020-08-30 07:56:22 2014-07-03 05:45:54 2020-09-21 04:32:05 2017-11-24 16:15:49 tradytics/surpriver 5mehulhelp5/MagentoExtensions active inactive 3.0 39:24.6 24:33.4
326 CryptoBot Binomial Tree https://github.com/AdeelMufti/CryptoBot https://github.com/hy-lei/math-finance-exercise 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 Utility functions in fixed income securities. Other Models Fixed Income 2021-05-21 16:30:04 2020-10-06 20:55:18 242.0 1.0 95.0 2.0 1.0 2017-01-17 12:44:52 2019-02-02 08:44:14 2017-01-17 12:48:17 2019-05-03 17:16:52 AdeelMufti/CryptoBot hy-lei/math-finance-toolbox inactive 2.0 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 2021-05-23 01:15:34 961.0 360.0 2.0 2017-02-12 04:50:44 2021-02-04 03:48:33 robertmartin8/MachineLearningStocks active 3.0
mosquito https://github.com/miro-ka/mosquito base framework trading bot for crypto. Stores data in local mongodb instance and supports backtest and live trading on [poloniex](https://poloniex.com/) and [bittrex](https://bittrex.com/) which are 12-15th ranked crypto exchanges by volume. Leverage [talib](https://github.com/mrjbq7/ta-lib) for ta data and [plotly](https://github.com/plotly/plotly.py) for visualization Other Models 2021-05-17 22:51:03 235.0 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
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 2021-05-22 02:39:59 2187.0 698.0 1.0 2016-09-12 18:38:17 2018-08-29 20:27:19 anfederico/clairvoyant inactive 3.0
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 2021-05-21 15:34:30 205.0 121.0 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
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 2021-05-18 21:07:16 189.0 125.0 4.0 2018-03-15 06:28:00 2021-01-14 15:58:03 PacktPublishing/Machine-Learning-for-Finance active 3.0 39:24.6
Speculator https://github.com/amicks/Speculator python code to predict crypto prices using machine learning models. Two models used here tensorflow DNNClassifier and sklearn randomforest. Exposes the functionality as web services api using flask. Some idea are based on this paper [predicting the direction of stock market prices](https://arxiv.org/pdf/1605.00003.pdf) Other Models 2021-05-14 21:25:07 104.0 31.0 2.0 2017-09-03 17:43:03 2018-09-12 18:58:38 amicks/Speculator inactive 3.0 39:24.6
Machine-Learning-for-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 2021-05-20 15:17:59 184.0 101.0 5.0 2018-12-06 11:35:08 2021-01-18 06:40:53 PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Bots-with-Python active 3.0 39:24.6
Stock.Indicators https://github.com/DaveSkender/Stock.Indicators list of technical indicators implemented in c#. Full list and explanation available [here](https://daveskender.github.io/Stock.Indicators/docs/INDICATORS.html). This list contains several indicators that ta-lib does not cover Other Models 2021-05-23 01:16:28 208.0 75.0 9.0 2019-12-29 05:18:07 2021-05-23 00:54:43 DaveSkender/Stock.Indicators active 3.0 39:24.6
Hands-On-Machine-Learning-for-Algorithmic-Trading https://github.com/PacktPublishing/Hands-On-Machine-Learning-for-Algorithmic-Trading repo for book [hands-on-machine learning for algorithmic trading](https://www.packtpub.com/product/hands-on-machine-learning-for-algorithmic-trading/9781789346411) covering topic from data/unsupervised learning/NPL/RNN & CNN/reinforcement learning etc. Leverage zipline/alphalens/sklearn/openai-gym etc as well. Good references to have Other Models 2021-05-21 11:20:29 622.0 402.0 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
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 2021-05-21 10:31:26 1169.0 102.0 8.0 2018-08-20 03:13:31 2019-05-23 14:40:50 kkyon/botflow active 2.0 39:24.6
327 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 2021-05-22 13:51:20 268.0 121.0 3.0 2019-09-27 16:13:50 2020-06-13 21:20:26 mfrdixon/ML_Finance_Codes active 3.0 39:24.6
328 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 2021-05-22 17:10:57 124.0 64.0 0.0 2020-01-06 00:21:58 2020-03-31 13:02:26 saeed349/Microservices-Based-Algorithmic-Trading-System active 5.0 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 2021-05-23 00:51:49 2365.0 728.0 3.0 2019-02-13 16:57:25 2021-05-07 15:20:28 hudson-and-thames/mlfinlab active 3.0 39:24.6
329 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 2021-05-17 04:52:41 463.0 57.0 1.0 2016-03-11 19:13:00 2020-12-21 03:54:51 melling/MathAndScienceNotes active 3.0 39:24.6
330 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 2021-05-19 10:59:37 987.0 179.0 8.0 2018-08-29 02:07:02 2021-04-25 00:19:57 georgezouq/awesome-ai-in-finance active 3.0 39:24.6
331 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 2021-05-21 07:38:15 354.0 199.0 1.0 2019-10-10 09:44:02 2019-10-12 11:38:49 yacoubb/stock-trading-ml active 3.0 39:24.6
336 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 2021-05-22 13:09:10 297.0 140.0 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
337 Mixture Models II https://github.com/BlackArbsCEO/mixture_model_trading_public Mixture models and stock trading. Other Models 2021-05-02 00:39:22 169.0 74.0 1.0 2017-12-11 17:05:38 2020-05-13 23:50:47 BlackArbsCEO/mixture_model_trading_public active 3.0
338 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 2021-05-06 07:45:30 264.0 103.0 1.0 2017-08-30 06:14:59 2019-10-29 08:14:39 PyPatel/Machine-Learning-and-AI-in-Trading active 2.0 39:24.6
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 2021-05-21 10:31:26 1169.0 102.0 8.0 2018-08-20 03:13:31 2019-05-23 14:40:50 kkyon/botflow active 2.0 39:24.6
340 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 2021-05-21 11:20:29 622.0 402.0 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
341 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 2021-05-23 00:51:49 2365.0 728.0 3.0 2019-02-13 16:57:25 2021-05-07 15:20:28 hudson-and-thames/mlfinlab active 3.0 39:24.6
342 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 2021-05-20 15:17:59 184.0 101.0 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
343 AlphaPy https://github.com/ScottfreeLLC/AlphaPy machine learning framework built on sklearn and pandas. Support pyfolio/xgboost/lightgmb/catboost(gradient boosting on decision tress) etc. Examples include financial market prediction/sports prediction/kaggle. Configurations are set though yaml file for all model process including feature selection/grid search on parameters and aggregate results for each model Other Models 2021-05-20 11:20:12 590.0 134.0 3.0 2016-02-14 00:47:32 2021-02-08 21:35:40 ScottfreeLLC/AlphaPy active 4.0 39:24.6
344 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 2021-05-23 01:16:28 208.0 75.0 9.0 2019-12-29 05:18:07 2021-05-23 00:54:43 DaveSkender/Stock.Indicators active 3.0 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 2021-05-13 10:31:49 177.0 92.0 1.0 2015-03-26 02:22:03 2015-03-26 02:33:51 PythonProgramming/Pattern-Recognition-for-Forex-Trading inactive 1.0 39:24.6
346 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 2021-05-19 22:18:51 286.0 119.0 1.0 2018-06-29 21:21:17 2019-02-18 12:34:54 jjakimoto/finance_ml inactive 1.0 39:24.6
347 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 2021-05-21 13:30:52 1219.0 229.0 6.0 2020-08-30 07:56:22 2020-09-21 04:32:05 tradytics/surpriver active 3.0 39:24.6
348 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 2021-05-21 16:30:04 242.0 95.0 1.0 2017-01-17 12:44:52 2017-01-17 12:48:17 AdeelMufti/CryptoBot inactive 2.0 39:24.6
349 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 2021-05-23 00:23:28 397.0 129.0 1.0 2018-07-22 08:14:46 2021-05-18 12:18:31 Hvass-Labs/FinanceOps active 3.0
350 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 2021-05-17 22:51:03 235.0 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
351 Short-Term Movement Cues https://github.com/anfederico/Clairvoyant Identify social/historical cues for short term stock movement. Sklearn SVM model is used and good visualization coded in matplotlib Other Models 2021-05-22 02:39:59 2187.0 698.0 1.0 2016-09-12 18:38:17 2018-08-29 20:27:19 anfederico/clairvoyant inactive 3.0
352 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 2021-05-21 15:34:30 205.0 121.0 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
353 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 2021-05-18 21:07:16 189.0 125.0 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
354 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 2021-05-14 21:25:07 104.0 31.0 2.0 2017-09-03 17:43:03 2018-09-12 18:58:38 amicks/Speculator inactive 3.0 39:24.6
355 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 2021-05-23 01:15:34 961.0 360.0 2.0 2017-02-12 04:50:44 2021-02-04 03:48:33 robertmartin8/MachineLearningStocks active 3.0
356 Financial Event Prediction using Machine Learning https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3481555 Personal Papers
357 Machine Learning in Asset Management—Part 1: Portfolio Construction—Trading Strategies https://jfds.pm-research.com/content/2/1/10 Personal Papers
358 Machine Learning in Asset Management—Part 2: Portfolio Construction—Weight Optimization https://jfds.pm-research.com/content/2/2/17 Personal Papers
359 Machine Learning in Asset Management https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3420952 Personal Papers
Machine Learning in Asset Management—Part 1: Portfolio Construction—Trading Strategies https://jfds.pm-research.com/content/2/1/10 Personal Papers
Financial Event Prediction using Machine Learning https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3481555 Personal Papers
Riskfolio-Lib https://github.com/dcajasn/Riskfolio-Lib NEW Portfolio Selection and Optimisation 2021-05-20 12:47:35 444.0 70.0 1.0 2020-03-02 19:49:06 2021-05-18 21:27:53 dcajasn/Riskfolio-Lib active 37:19.5
riskparity.py https://github.com/dppalomar/riskparity.py NEW Portfolio Selection and Optimisation 2021-05-21 17:17:54 138.0 33.0 2.0 2019-07-13 21:30:55 2021-04-16 02:33:54 dppalomar/riskparity.py active 37:19.5
Online Portfolio Selection https://nbviewer.jupyter.org/github/paulperry/quant/blob/master/OLPS_Comparison.ipynb ****Comparing OLPS algorithms on a diversified set of ETFs. Portfolio Selection and Optimisation
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 2021-05-18 07:39:05 242.0 83.0 3.0 2018-11-16 12:20:25 2019-07-04 01:41:46 VivekPa/OptimalPortfolio active
node-finance https://github.com/albertosantini/node-finance NEW Portfolio Selection and Optimisation 2021-05-21 14:23:55 104.0 26.0 3.0 2011-09-17 17:49:56 2021-04-05 08:01:12 albertosantini/node-finance active 37:19.5
Efficient Frontier https://github.com/tthustla/efficient_frontier/blob/master/Efficient%20_Frontier_implementation.ipynb Modern Portfolio Theory. Portfolio Selection and Optimisation 2021-04-26 06:26:42 107.0 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 2021-04-08 19:07:41 7.0 4.0 1.0 2016-07-26 16:20:10 2016-12-30 11:40:53 charlessutton/OLMAR inactive
DeepDow https://github.com/jankrepl/deepdow Portfolio optimization with deep learning. Portfolio Selection and Optimisation 2021-05-22 19:25:30 327.0 60.0 2.0 2020-02-02 08:46:33 2021-02-16 18:50:53 jankrepl/deepdow active
360 Reinforcement Learning https://github.com/filangel/qtrader Reinforcement Learning for Portfolio Management. Portfolio Selection and Optimisation 2021-05-15 03:10:51 366.0 149.0 1.0 2017-10-07 09:14:33 2018-06-26 09:22:27 filangelos/qtrader inactive
Policy Gradient Portfolio https://github.com/ZhengyaoJiang/PGPortfolio A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem. Portfolio Selection and Optimisation 2021-05-20 04:03:07 1304.0 635.0 6.0 2017-11-12 16:08:44 2019-05-09 09:50:18 ZhengyaoJiang/PGPortfolio inactive
PyPortfolioOpt https://github.com/robertmartin8/PyPortfolioOpt Financial portfolio optimisation, including classical efficient frontier and advanced methods. Portfolio Selection and Optimisation 2021-05-22 12:19:44 2007.0 501.0 17.0 2018-05-29 13:30:30 2021-05-18 07:06:38 robertmartin8/PyPortfolioOpt active
401K Portfolio Optimisation https://github.com/otosman/Python-for-Finance/blob/master/Portfolio%20Optimization%20401k.ipynb Portfolio analyses and optimisation for 401K. Portfolio Selection and Optimisation 2020-12-25 09:39:33 14.0 5.0 1.0 2018-08-01 19:48:24 2019-09-05 11:18:56 otosman/Python-for-Finance active
361 Deep Portfolio Theory https://github.com/tcloaa/Deep-Portfolio-Theory Autoencoder framework for portfolio selection. Portfolio Selection and Optimisation 2021-04-06 11:47:13 105.0 57.0 1.0 2017-02-10 09:03:08 2018-03-08 16:47:00 tcloaa/Deep-Portfolio-Theory inactive
362 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
363 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
364 FinBERT PyPortfolioOpt https://github.com/psnonis/FinBERT https://github.com/robertmartin8/PyPortfolioOpt NEW Financial portfolio optimisation, including classical efficient frontier and advanced methods. Textual Portfolio Selection and Optimisation 2021-05-02 15:10:28 2021-05-22 12:19:44 143.0 2007.0 47.0 501.0 3.0 17.0 2019-07-09 16:34:27 2018-05-29 13:30:30 2020-05-19 02:02:20 2021-05-18 07:06:38 psnonis/FinBERT robertmartin8/PyPortfolioOpt active 24:28.5
365 awesome-financial-nlp Policy Gradient Portfolio https://github.com/icoxfog417/awesome-financial-nlp https://github.com/ZhengyaoJiang/PGPortfolio NEW A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem. Textual Portfolio Selection and Optimisation 2021-05-15 16:35:45 2021-05-20 04:03:07 235.0 1304.0 38.0 635.0 2.0 6.0 2019-10-03 03:53:20 2017-11-12 16:08:44 2020-02-01 08:28:16 2019-05-09 09:50:18 icoxfog417/awesome-financial-nlp ZhengyaoJiang/PGPortfolio active inactive 24:28.5
366 Accounting Anomalies DeepDow https://github.com/GitiHubi/deepAI/blob/master/GTC_2018_Lab-solutions.ipynb https://github.com/jankrepl/deepdow Using deep-learning frameworks to identify accounting anomalies. Portfolio optimization with deep learning. Textual Portfolio Selection and Optimisation 2021-05-20 10:18:09 2021-05-22 19:25:30 115.0 327.0 51.0 60.0 2.0 2017-05-24 12:36:38 2020-02-02 08:46:33 2019-08-07 21:47:08 2021-02-16 18:50:53 GitiHubi/deepAI jankrepl/deepdow active
367 Extensive NLP Online Portfolio Selection https://github.com/TiesdeKok/Python_NLP_Tutorial/blob/master/NLP_Notebook.ipynb https://nbviewer.jupyter.org/github/paulperry/quant/blob/master/OLPS_Comparison.ipynb Comprehensive NLP techniques for accounting research. ****Comparing OLPS algorithms on a diversified set of ETFs. Textual Portfolio Selection and Optimisation 2021-05-17 20:00:52 77.0 43.0 1.0 2017-10-25 07:10:26 2020-06-05 03:28:46 TiesdeKok/Python_NLP_Tutorial active
368 Financial Sentiment Analysis Efficient Frontier https://github.com/EricHe98/Financial-Statements-Text-Analysis https://github.com/tthustla/efficient_frontier/blob/master/Efficient%20_Frontier_implementation.ipynb Sentiment, distance and proportion analysis for trading signals. Modern Portfolio Theory. Textual Portfolio Selection and Optimisation 2021-04-30 10:07:46 2021-04-26 06:26:42 50.0 107.0 27.0 59.0 1.0 2017-06-23 00:05:49 2018-02-17 08:19:46 2019-01-26 03:35:55 2018-02-27 13:16:57 EricHe98/Financial-Statements-Text-Analysis tthustla/efficient_frontier inactive
369 Fund classification node-finance https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb https://github.com/albertosantini/node-finance Fund classification using text mining and NLP. NEW Textual Portfolio Selection and Optimisation 2021-03-31 02:12:50 2021-05-21 14:23:55 4.0 104.0 3.0 26.0 1.0 3.0 2018-04-16 22:18:55 2011-09-17 17:49:56 2018-06-07 22:01:32 2021-04-05 08:01:12 frechfrechfrech/Mutual-Fund-Market-Clusters albertosantini/node-finance inactive active 37:19.5
370 Financial Statement Sentiment Distribution Characteristic Optimisation https://github.com/MAydogdu/TextualAnalysis https://github.com/VivekPa/OptimalPortfolio Extracting sentiment from financial statements using neural networks. Extends classical portfolio optimisation to take the skewness and kurtosis of the distribution of market invariants into account. Textual Portfolio Selection and Optimisation 2021-05-07 20:35:27 2021-05-18 07:39:05 11.0 242.0 7.0 83.0 1.0 3.0 2018-06-04 20:54:14 2018-11-16 12:20:25 2018-06-04 20:56:02 2019-07-04 01:41:46 MAydogdu/TextualAnalysis VivekPa/OptimalPortfolio inactive active
371 news-emotion riskparity.py https://github.com/dongyuanxin/news-emotion https://github.com/dppalomar/riskparity.py NEW Textual Portfolio Selection and Optimisation 2021-05-18 08:49:23 2021-05-21 17:17:54 251.0 138.0 119.0 33.0 1.0 2.0 2017-09-14 02:59:03 2019-07-13 21:30:55 2018-06-11 13:47:51 2021-04-16 02:33:54 dongyuanxin/news-emotion dppalomar/riskparity.py inactive active 24:28.5 37:19.5
372 Buzzwords Riskfolio-Lib https://github.com/swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds https://github.com/dcajasn/Riskfolio-Lib Return performance and mutual fund selection. NEW Textual Portfolio Selection and Optimisation 2020-10-06 18:54:58 2021-05-20 12:47:35 1.0 444.0 4.0 70.0 1.0 2018-02-04 21:51:16 2020-03-02 19:49:06 2018-02-04 21:57:09 2021-05-18 21:27:53 swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds dcajasn/Riskfolio-Lib inactive active 37:19.5
373 financial-news-dataset OLMAR Algorithm https://github.com/philipperemy/financial-news-dataset https://github.com/charlessutton/OLMAR/blob/master/Part3.ipynb NEW Relative importance of each component of the OLMAR algorithm. Textual Portfolio Selection and Optimisation 2021-05-09 16:58:04 2021-04-08 19:07:41 154.0 7.0 76.0 4.0 1.0 2016-08-23 13:29:07 2016-07-26 16:20:10 2021-03-04 06:34:24 2016-12-30 11:40:53 philipperemy/financial-news-dataset charlessutton/OLMAR active inactive 24:28.5
Earning call transcripts https://github.com/lin882/WebAnalyticsProject Correlation between mutual fund investment decision and earning call transcripts. Textual 2020-12-17 08:24:20 3.0 3.0 1.0 2017-12-30 08:56:03 2018-01-11 02:11:11 lin882/WebAnalyticsProject inactive
NLP https://github.com/toamitesh/NLPinFinance This project assembles a lot of NLP operations needed for finance domain. Textual toamitesh/NLPinFinance
BDCI2019-Negative_Finance_Info_Judge https://github.com/A-Rain/BDCI2019-Negative_Finance_Info_Judge NEW Textual 2021-05-06 12:59:42 108.0 24.0 3.0 2019-12-27 03:49:31 2020-12-04 03:38:57 A-Rain/BDCI2019-Negative_Finance_Info_Judge active 24:28.5
NLP Event https://github.com/yuriak/DLQuant Applying Deep Learning and NLP in Quantitative Trading. Textual 2021-04-01 02:16:38 70.0 32.0 1.0 2018-07-02 23:50:52 2019-01-31 14:08:20 yuriak/DLQuant inactive
374 FinNLP-Progress https://github.com/YangLinyi/FinNLP-Progress NEW Textual 2021-05-19 11:39:41 168.0 21.0 5.0 2020-05-21 09:59:56 2021-03-23 08:14:07 YangLinyi/FinNLP-Progress active 24:28.5
375 Credit-Card-Fraud-Detection NLP Event https://github.com/sharmaroshan/Credit-Card-Fraud-Detection https://github.com/yuriak/DLQuant NEW Applying Deep Learning and NLP in Quantitative Trading. Unsupervised Textual 2020-12-28 10:41:20 2021-04-01 02:16:38 10.0 70.0 5.0 32.0 1.0 2019-03-31 05:33:17 2018-07-02 23:50:52 2019-03-31 05:38:43 2019-01-31 14:08:20 sharmaroshan/Credit-Card-Fraud-Detection yuriak/DLQuant inactive 24:29.9
376 Pairs Trading BDCI2019-Negative_Finance_Info_Judge https://github.com/marketneutral/pairs-trading-with-ML/blob/master/Pairs%2BTrading%2Bwith%2BMachine%2BLearning.ipynb https://github.com/A-Rain/BDCI2019-Negative_Finance_Info_Judge Finding pairs with cluster analysis. NEW Unsupervised Textual 2021-05-13 02:52:13 2021-05-06 12:59:42 83.0 108.0 40.0 24.0 0.0 3.0 2017-09-05 19:19:19 2019-12-27 03:49:31 2017-09-27 20:42:14 2020-12-04 03:38:57 marketneutral/pairs-trading-with-ML A-Rain/BDCI2019-Negative_Finance_Info_Judge inactive active 24:28.5
377 NLP https://github.com/toamitesh/NLPinFinance This project assembles a lot of NLP operations needed for finance domain. Textual toamitesh/NLPinFinance
378 financial-news-dataset https://github.com/philipperemy/financial-news-dataset NEW Textual 2021-05-09 16:58:04 154.0 76.0 1.0 2016-08-23 13:29:07 2021-03-04 06:34:24 philipperemy/financial-news-dataset active 24:28.5
379 Buzzwords https://github.com/swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds Return performance and mutual fund selection. Textual 2020-10-06 18:54:58 1.0 4.0 1.0 2018-02-04 21:51:16 2018-02-04 21:57:09 swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds inactive
380 news-emotion https://github.com/dongyuanxin/news-emotion NEW Textual 2021-05-18 08:49:23 251.0 119.0 1.0 2017-09-14 02:59:03 2018-06-11 13:47:51 dongyuanxin/news-emotion inactive 24:28.5
381 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
382 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
383 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
384 Extensive NLP https://github.com/TiesdeKok/Python_NLP_Tutorial/blob/master/NLP_Notebook.ipynb Comprehensive NLP techniques for accounting research. Textual 2021-05-17 20:00:52 77.0 43.0 1.0 2017-10-25 07:10:26 2020-06-05 03:28:46 TiesdeKok/Python_NLP_Tutorial active
385 Accounting Anomalies https://github.com/GitiHubi/deepAI/blob/master/GTC_2018_Lab-solutions.ipynb Using deep-learning frameworks to identify accounting anomalies. Textual 2021-05-20 10:18:09 115.0 51.0 2.0 2017-05-24 12:36:38 2019-08-07 21:47:08 GitiHubi/deepAI active
386 awesome-financial-nlp https://github.com/icoxfog417/awesome-financial-nlp NEW Textual 2021-05-15 16:35:45 235.0 38.0 2.0 2019-10-03 03:53:20 2020-02-01 08:28:16 icoxfog417/awesome-financial-nlp active 24:28.5
387 FinBERT https://github.com/psnonis/FinBERT NEW Textual 2021-05-02 15:10:28 143.0 47.0 3.0 2019-07-09 16:34:27 2020-05-19 02:02:20 psnonis/FinBERT active 24:28.5
388 Financial Statement Sentiment https://github.com/MAydogdu/TextualAnalysis Extracting sentiment from financial statements using neural networks. Textual 2021-05-07 20:35:27 11.0 7.0 1.0 2018-06-04 20:54:14 2018-06-04 20:56:02 MAydogdu/TextualAnalysis inactive
389 Stock_Support_Resistance_ML https://github.com/judopro/Stock_Support_Resistance_ML NEW Unsupervised 2021-05-13 16:49:45 17.0 15.0 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
390 PCA Pairs Trading https://github.com/joelQF/quant-finance/tree/master/Artificial_IntelIigence_for_Trading PCA, Factor Returns, and trading strategies. Unsupervised joelQF/quant-finance
391 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
392 all-classification-templetes-for-ML https://github.com/sayantann11/all-classification-templetes-for-ML NEW Unsupervised 2021-05-15 02:26:24 26.0 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
393 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
394 Industry Clustering https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries Project to cluster industries according to financial attributes. Unsupervised 2020-10-06 18:51:22 4.0 5.0 1.0 2017-07-21 02:12:51 2017-07-23 02:53:37 SeanMcOwen/FinanceAndPython.com-ClusteringIndustries inactive
395 VRA Stock Embedding https://github.com/ml-hongkong/stock2vec Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history. Unsupervised 2021-05-02 17:02:13 31.0 12.0 1.0 2017-06-21 04:47:14 2017-06-21 04:51:13 ml-hongkong/stock2vec inactive
396 Industry Clustering Pairs Trading https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries https://github.com/marketneutral/pairs-trading-with-ML/blob/master/Pairs%2BTrading%2Bwith%2BMachine%2BLearning.ipynb Clustering of industries. Finding pairs with cluster analysis. Unsupervised 2020-10-06 18:51:22 2021-05-13 02:52:13 4.0 83.0 5.0 40.0 1.0 0.0 2017-07-21 02:12:51 2017-09-05 19:19:19 2017-07-23 02:53:37 2017-09-27 20:42:14 SeanMcOwen/FinanceAndPython.com-ClusteringIndustries marketneutral/pairs-trading-with-ML inactive
397 AnomalyDetectionOnRisk Credit-Card-Fraud-Detection https://github.com/SimonWesterlindVPD/AnomalyDetectionOnRisk https://github.com/sharmaroshan/Credit-Card-Fraud-Detection NEW Unsupervised 2021-05-19 11:40:07 2020-12-28 10:41:20 12.0 10.0 5.0 1.0 2018-05-31 15:53:02 2019-03-31 05:33:17 2018-05-31 16:18:28 2019-03-31 05:38:43 SimonWesterlindVPD/AnomalyDetectionOnRisk 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 2021-05-15 02:26:24 26.0 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
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
PCA Pairs Trading https://github.com/joelQF/quant-finance/tree/master/Artificial_IntelIigence_for_Trading PCA, Factor Returns, and trading strategies. Unsupervised joelQF/quant-finance
Stock_Support_Resistance_ML https://github.com/judopro/Stock_Support_Resistance_ML NEW Unsupervised 2021-05-13 16:49:45 17.0 15.0 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
398 Eigen-Portfolio https://github.com/Gustrigos/Eigen-Portfolio NEW Unsupervised 2021-05-10 06:49:32 37.0 11.0 1.0 2018-09-05 05:29:18 2020-04-09 21:40:04 Gustrigos/Eigen-Portfolio active 24:29.9
399 Industry Clustering https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries Clustering of industries. Unsupervised 2020-10-06 18:51:22 4.0 5.0 1.0 2017-07-21 02:12:51 2017-07-23 02:53:37 SeanMcOwen/FinanceAndPython.com-ClusteringIndustries inactive
400 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