gavindiaz/financial-machine-learning
1
0
Fork 0
mirror of https://github.com/firmai/financial-machine-learning.git synced 2026-08-10 01:21:02 +00:00
Code Issues Packages Projects Releases Wiki Activity

{chore: autopublish 2021-05-26T02:41:16Z}

Browse Source
This commit is contained in:
github-actions[bot]
2021-05-26 02:41:16 +00:00
parent e168466620
commit a3736f5a19
1 changed files with 297 additions and 296 deletions
Download Patch File Download Diff File Expand all files Collapse all files
raw_data/url_list.csv
+297 -296
View File
@@ -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
NYU FRE,https://engineering.nyu.edu/academics/departments/finance-and-risk-engineering,Finance and Risk Engineering (NYU Tandon),Colleges Centers and Departments,,,,,,,,,,
Cornell University,https://www.cornell.edu/,,Colleges Centers and Departments,,,,,,,,,,
Stanford Advanced Financial Technologies,https://fintech.stanford.edu/,Stanford Advanced Financial Technologies Laboratory,Colleges Centers and Departments,,,,,,,,,,
NYU Courant,https://cims.nyu.edu/,"Courant Institute of Mathematical Sciences, New York University",Colleges Centers and Departments,,,,,,,,,,
Berkeley Lab CIFT,https://cs.lbl.gov/news-media/news/news-archive/2010/berkeley-lab-launches-new-center-for-innovative-financial-technology/,,Colleges Centers and Departments,,,,,,,,,,
Oxford Man,https://www.oxford-man.ox.ac.uk/,Oxford-Man Institute of Quantitative Finance,Colleges Centers and Departments,,,,,,,,,,
NYU Courant,https://cims.nyu.edu/,"Courant Institute of Mathematical Sciences, New York University",Colleges Centers and Departments,,,,,,,,,,
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
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
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
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
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,,,,,,,,,,
NYU FRE,https://engineering.nyu.edu/academics/departments/finance-and-risk-engineering,Finance and Risk Engineering (NYU Tandon),Colleges Centers and Departments,,,,,,,,,,
Stanford Advanced Financial Technologies,https://fintech.stanford.edu/,Stanford Advanced Financial Technologies Laboratory,Colleges Centers and Departments,,,,,,,,,,
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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,,
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
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
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
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
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
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
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
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
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,,
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
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
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,,
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 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,,
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,,
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
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,,
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,,
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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,,
IRS,http://social-metrics.org/sox/,,Data,,,,,,,,,,
EDGAR,https://github.com/TiesdeKok/UW_Python_Camp/blob/master/Materials/Session_5/EDGAR_walkthrough.ipynb,,Data,2021-04-29 12:51:47,12.0,11.0,1.0,2018-06-11 22:51:57,2018-07-10 18:03:52,TiesdeKok/UW_Python_Camp,inactive,,
Capital Markets Data,https://www.capitalmarketsdata.com/,,Data,,,,,,,,,,
Financial Corporate,http://raw.rutgers.edu/Corporate%20Financial%20Data.html,,Data,,,,,,,,,,
https://github.com/timestocome/StockMarketData,https://github.com/timestocome/StockMarketData,,Data,2021-05-12 12:24:53,7.0,5.0,1.0,2017-05-10 21:49:45,2017-08-06 19:23:18,timestocome/StockMarketData,inactive,,
Web Scraping (FirmAI),https://github.com/firmai/business-machine-learning/blob/master/www.firmai.org/data,,Data,2021-05-19 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,,
Non-financial Corporate,http://raw.rutgers.edu/Non-Financial%20Corporate%20Data.html,,Data,,,,,,,,,,
https://fred.stlouisfed.org/,https://fred.stlouisfed.org/,,Data,,,,,,,,,,
http://finance.yahoo.com/,http://finance.yahoo.com/,,Data,,,,,,,,,,
Rating Industries,http://www.ratingshistory.info/,,Data,,,,,,,,,,
Python for Finance,https://github.com/siaen/python_finance_course,CEU python for finance course material.,Courses,2021-04-28 18:10:55,17.0,15.0,4.0,2017-12-12 11:54:46,2020-02-25 20:31:41,siaen/python_finance_course,active,,
Algo Trading,https://github.com/JCreeks/Machine-Learning-in-Finance/tree/master/0_Intro_to_Algo_Trading,Intro to algo trading.,Courses,2021-05-17 01:37:14,65.0,25.0,1.0,2017-10-29 20:34:54,2019-01-22 06:56:08,JCreeks/Machine-Learning-in-Finance,inactive,,
Basic Derivatives,https://github.com/SeanMcOwen/FinanceAndPython.com-Derivatives,Basic forward contracts and hedging.,Courses,2021-03-31 02:08:39,4.0,4.0,1.0,2017-08-24 00:11:37,2017-10-13 01:32:23,SeanMcOwen/FinanceAndPython.com-Derivatives,inactive,,
Risk Management,https://github.com/andrey-lukyanov/Risk-Management,Finance risk engagement course resources.,Courses,2021-04-20 08:29:36,8.0,5.0,3.0,2018-10-03 16:26:14,2018-12-13 08:04:15,andrey-lukyanov/Risk-Management,inactive,,
Handson Python for Finance,https://github.com/PacktPublishing/Hands-on-Python-for-Finance,Hands-on Python for Finance published by Packt.,Courses,2021-05-20 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
https://stooq.com,https://stooq.com,,Data,,,,,,,,,,
finserv-application-blueprint,https://github.com/mapr-demos/finserv-application-blueprint,generate streamable data using mapr converged data platfrom built mostly in java. Uses apache [zepplin](https://zeppelin.apache.org/) for web visualization ,Data Processing Techniques and Transformations,2021-01-21 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
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,,,,,,,,,,
http://finance.yahoo.com/,http://finance.yahoo.com/,,Data,,,,,,,,,,
https://fred.stlouisfed.org/,https://fred.stlouisfed.org/,,Data,,,,,,,,,,
Non-financial Corporate,http://raw.rutgers.edu/Non-Financial%20Corporate%20Data.html,,Data,,,,,,,,,,
https://github.com/timestocome/StockMarketData,https://github.com/timestocome/StockMarketData,,Data,2021-05-12 12:24:53,7.0,5.0,1.0,2017-05-10 21:49:45,2017-08-06 19:23:18,timestocome/StockMarketData,inactive,,
IRS,http://social-metrics.org/sox/,,Data,,,,,,,,,,
Capital Markets Data,https://www.capitalmarketsdata.com/,,Data,,,,,,,,,,
EDGAR,https://github.com/TiesdeKok/UW_Python_Camp/blob/master/Materials/Session_5/EDGAR_walkthrough.ipynb,,Data,2021-04-29 12:51:47,12.0,11.0,1.0,2018-06-11 22:51:57,2018-07-10 18:03:52,TiesdeKok/UW_Python_Camp,inactive,,
Employee Count SEC Filings,https://github.com/healthgradient/sec_employee_information_extraction,,Data,2021-04-18 03:25:43,11.0,2.0,1.0,2018-06-26 23:33:51,2018-08-14 01:31:13,healthgradient/sec_employee_information_extraction,inactive,,
SEC Parsing,https://github.com/healthgradient/sec-doc-info-extraction/blob/master/classify_sections_containing_relevant_information.ipynb,,Data,2021-02-27 06:34:55,9.0,6.0,1.0,2018-06-16 14:30:06,2018-06-16 17:23:46,healthgradient/sec-doc-info-extraction,inactive,,
Open Edgar,https://github.com/LexPredict/openedgar,,Data,2021-05-21 18:47:54,179.0,62.0,6.0,2018-05-07 15:32:31,2019-05-15 08:32:30,LexPredict/openedgar,inactive,,
Financial Corporate,http://raw.rutgers.edu/Corporate%20Financial%20Data.html,,Data,,,,,,,,,,
cointrader,https://github.com/timolson/cointrader,java based platform for trading crypto. Relevant sections including using esper event queries to transform data and place orders,Data Processing Techniques and Transformations,2021-05-19 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
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
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
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
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
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
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
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
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
RL Trading,https://colab.research.google.com/drive/1FzLCI0AO3c7A4bp9Fi01UwXeoc7BN8sW,A collection of 25+ Reinforcement Learning Trading Strategies -Google Colab.,Deep Learning And Reinforcement Learning,,,,,,,,,4.0,
Trading-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
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
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
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,
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 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,
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,
Personae,https://github.com/Ceruleanacg/Personae,implementation of deep reinforcement learning and supervised learnings covering areas: deep deterministic policy gradient (DDPG) and DDQN etc. Data are being pulled from [rqalpha](https://github.com/ricequant/rqalpha) which is a python backtest engine and have a nice docker image to run training/testing,Deep Learning And Reinforcement Learning,2021-05-13 07:15:19,1147.0,333.0,2.0,2018-03-10 11:22:00,2018-09-02 17:21:38,Ceruleanacg/Personae,inactive,5.0,3/31/21 8:00
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 IV,https://github.com/jjakimoto/DQN,Reinforcement Learning for finance.,Deep Learning And Reinforcement Learning,2021-04-05 11:42:45,142.0,55.0,1.0,2016-10-21 02:47:17,2017-04-07 08:11:57,jjakimoto/DQN,inactive,,
RL 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,
@@ -121,8 +147,8 @@ 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,
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
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,
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
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,,
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
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,
@@ -130,44 +156,38 @@ Deep-Reinforcement-Stock-Trading,https://github.com/Albert-Z-Guo/Deep-Reinforcem
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,
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
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
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 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,
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,
Personae,https://github.com/Ceruleanacg/Personae,implementation of deep reinforcement learning and supervised learnings covering areas: deep deterministic policy gradient (DDPG) and DDQN etc. Data are being pulled from [rqalpha](https://github.com/ricequant/rqalpha) which is a python backtest engine and have a nice docker image to run training/testing,Deep Learning And Reinforcement Learning,2021-05-13 07:15:19,1147.0,333.0,2.0,2018-03-10 11:22:00,2018-09-02 17:21:38,Ceruleanacg/Personae,inactive,5.0,3/31/21 8:00
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
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,
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
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
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
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,
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
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,
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
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
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
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
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
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
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
RL Trading,https://colab.research.google.com/drive/1FzLCI0AO3c7A4bp9Fi01UwXeoc7BN8sW,A collection of 25+ Reinforcement Learning Trading Strategies -Google Colab.,Deep Learning And Reinforcement Learning,,,,,,,,,4.0,
Trading-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
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
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
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
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
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,,
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
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,,
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,,
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
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
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
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
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
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
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
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
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,,
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,,
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
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
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
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
@@ -175,219 +195,200 @@ tai,https://github.com/fremantle-industries/tai,NEW,Derivatives and Hedging,2021
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
trade-frame,https://github.com/rburkholder/trade-frame,NEW,Derivatives and Hedging,2021-05-17 00:52:36,194.0,79.0,1.0,2016-07-24 15:25:30,2021-05-17 00:52:08,rburkholder/trade-frame,active,,23:51.4
Delta Hedging,https://github.com/RobinsonGarcia/delta-hedging,Advanced derivatives.,Derivatives and Hedging,2021-02-27 08:48:27,3.0,2.0,1.0,2018-03-02 23:53:53,2018-07-17 23:32:23,RobinsonGarcia/delta-hedging,inactive,,
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,,
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
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
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
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
Hull White,https://github.com/rstreppa/valuation-callables-HullWhite/blob/master/CallableBond_HullWhite.ipynb,"Callable Bond, Hull White.",Derivatives and Hedging,2020-10-06 20:37:16,4.0,6.0,1.0,2018-06-06 22:06:06,2018-06-06 22:27:02,rstreppa/valuation-callables-HullWhite,inactive,,
FinancePy,https://github.com/domokane/FinancePy,NEW,Derivatives and Hedging,2021-05-21 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
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,,
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,,
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
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
Derivative Markets,https://github.com/broughtj/Fin6470/tree/master/Notebooks,"The economics of futures, futures, options, and swaps.",Derivatives and Hedging,2021-04-15 16:03:10,8.0,8.0,1.0,2016-02-09 05:30:27,2021-04-15 16:02:59,broughtj/Fin6470,active,,
MarketAnalysis,https://github.com/Poseyy/MarketAnalysis,NEW,Derivatives and Hedging,2021-05-11 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
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
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,,
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
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,,
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,,
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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,,
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
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
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,,
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,,
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
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
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,,
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
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
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,,
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,,,
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
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,,
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,,
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,,
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,,
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
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,,
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
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
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
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
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
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
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
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
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
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
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
fx_systrade,https://github.com/ryogrid/fx_systrade,NEW,Extended Research,2021-05-09 01:04:16,81.0,29.0,2.0,2015-07-24 11:46:28,2020-10-23 10:17:01,ryogrid/fx_systrade,active,,2021-04-21 01:25:51.827641
Fraud-detection-using-deep-learning,https://github.com/aaxwaz/Fraud-detection-using-deep-learning,NEW,Extended Research,2021-03-10 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
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,,
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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_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
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-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
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
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
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
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
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
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
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
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
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
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,,
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
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
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
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
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
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,,
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
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
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
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
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
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
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
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
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
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
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
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,,
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,,
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,,
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,,
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,,
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,,
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
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,,
Corporate Finance,https://github.com/SeanMcOwen/FinanceAndPython.com-CorporateFinance,Basic corporate finance.,Extended Research,2021-01-16 19:01:31,9.0,5.0,1.0,2017-09-09 03:35:24,2017-09-09 23:04:48,SeanMcOwen/FinanceAndPython.com-CorporateFinance,inactive,,
tribeca,https://github.com/michaelgrosner/tribeca,NEW,Extended Research,2021-05-22 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,,
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
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,,
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,,
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,,
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
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,,
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
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
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
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,,
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,,
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
market-data,https://github.com/kriasoft/market-data,NEW,Fixed Income,2020-06-22 10:58:20,25.0,20.0,1.0,2012-12-07 13:42:48,2012-12-15 12:10:06,kriasoft/market-data,inactive,,24:33.4
Binomial Tree,https://github.com/hy-lei/math-finance-exercise,Utility functions in fixed income securities.,Fixed Income,2020-10-06 20:55:18,1.0,2.0,1.0,2019-02-02 08:44:14,2019-05-03 17:16:52,hy-lei/math-finance-toolbox,inactive,,
MagentoExtensions,https://github.com/5mehulhelp5/MagentoExtensions,NEW,Fixed Income,2021-04-28 18:58:25,107.0,110.0,2.0,2014-07-03 05:45:54,2017-11-24 16:15:49,5mehulhelp5/MagentoExtensions,inactive,,24:33.4
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,,
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
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,,
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,,
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
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
Vasicek,https://github.com/RobinsonGarcia/fixed-income/blob/master/2.0%20Vasicek%20-%20example.ipynb,Bootstrapping and interpolation.,Fixed Income,2020-12-10 21:20:03,3.0,3.0,1.0,2018-07-18 19:26:54,2018-07-18 19:34:48,RobinsonGarcia/fixed-income,inactive,,
Corporate Bonds,https://github.com/ishank011/gs-quantify-bond-prediction,Predicting the buying and selling volume of the corporate bonds.,Fixed Income,2021-01-03 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,,
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
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
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
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
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
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,
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
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
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
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
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,
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
Mixture Models I,https://github.com/BlackArbsCEO/Mixture_Models,Mixture models to predict market bottoms and regime changes based on a seminar given to quantinsti in 2017 and summary and video is [here](https://blog.quantinsti.com/webinar-can-we-use-mixture-models-to-predict-market-bottoms/). Gaussian mixture models are build on markov models and expectation maximization thoery to detect regimes and seminar reported positive results using features asset returns/tedrate/10y2ysptread/10y3m spread from fred which can be access here [fredapi](https://github.com/mortada/fredapi). Though most of the returns came from being long equities after 2009 ,Other Models,2021-05-16 20:01:22,32.0,32.0,1.0,2017-03-20 18:54:24,2017-04-25 23:35:20,BlackArbsCEO/Mixture_Models,inactive,2.0,
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,,
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
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
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
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
Trend Following,http://inseaddataanalytics.github.io/INSEADAnalytics/ExerciseSet2.html,A futures trend following portfolio investment strategy.,Other Models,,,,,,,,,,
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
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
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
Mixture Models I,https://github.com/BlackArbsCEO/Mixture_Models,Mixture models to predict market bottoms and regime changes based on a seminar given to quantinsti in 2017 and summary and video is [here](https://blog.quantinsti.com/webinar-can-we-use-mixture-models-to-predict-market-bottoms/). Gaussian mixture models are build on markov models and expectation maximization thoery to detect regimes and seminar reported positive results using features asset returns/tedrate/10y2ysptread/10y3m spread from fred which can be access here [fredapi](https://github.com/mortada/fredapi). Though most of the returns came from being long equities after 2009 ,Other Models,2021-05-16 20:01:22,32.0,32.0,1.0,2017-03-20 18:54:24,2017-04-25 23:35:20,BlackArbsCEO/Mixture_Models,inactive,2.0,
fin-ml,https://github.com/tatsath/fin-ml,accompanying materials for book [Machine Learning and Data Science Blueprints for Finance](https://www.amazon.com/Machine-Learning-Science-Blueprints-Finance/dp/1492073059) on top of basic machine learning models i.e. nlp/reinforcement learning/supervised & unsupervised learning it covers wider topics including robo-advisors/fraud detection/loan default/derivative pricing/yield curve construction.,Other Models,2021-05-22 21:25:32,130.0,82.0,2.0,2020-05-10 00:25:56,2021-01-23 17:15:07,tatsath/fin-ml,active,4.0,39:24.6
Awesome-Quant-Machine-Learning-Trading,https://github.com/grananqvist/Awesome-Quant-Machine-Learning-Trading,curated list of books/online courses/youtube videos/blogs/interviews/papers/code etc. Updates are pretty infrequent,Other Models,2021-05-22 16:44:20,1051.0,338.0,3.0,2018-11-05 21:09:06,2020-10-08 16:48:18,grananqvist/Awesome-Quant-Machine-Learning-Trading,active,5.0,39:24.6
Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original,https://github.com/PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original,official repo for [machine learning for algorithmic trading](https://www.amazon.com/Machine-Learning-Algorithmic-Trading-alternative/dp/1839217715?pf_rd_r=GZH2XZ35GB3BET09PCCA&pf_rd_p=c5b6893a-24f2-4a59-9d4b-aff5065c90ec&pd_rd_r=91a679c7-f069-4a6e-bdbb-a2b3f548f0c8&pd_rd_w=2B0Q0&pd_rd_wg=GMY5S&ref_=pd_gw_ci_mcx_mr_hp_d) book. Covering topics including backtesting/boosting/nlp/deep&reinforcement learning. Leverage open source libraries including [backtrader](https://www.backtrader.com/) [zipline](https://github.com/quantopian/zipline) and [talib](https://github.com/mrjbq7/ta-lib),Other Models,2021-05-22 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,
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
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
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
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
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,
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
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 in Asset Management—Part 1: Portfolio Construction—Trading Strategies,https://jfds.pm-research.com/content/2/1/10,,Personal Papers,,,,,,,,,,
Financial Event Prediction using Machine Learning,https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3481555,,Personal Papers,,,,,,,,,,
Machine Learning in Asset Management,https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3420952,,Personal Papers,,,,,,,,,,
Machine Learning in Asset Management—Part 2: Portfolio Construction—Weight Optimization,https://jfds.pm-research.com/content/2/2/17,,Personal Papers,,,,,,,,,,
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,,
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
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
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,,
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,,
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,,
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,,
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,,
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,,,,,,,,,,
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,,
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
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,,
Deep Portfolio Theory,https://github.com/tcloaa/Deep-Portfolio-Theory,Autoencoder framework for portfolio selection.,Portfolio Selection and Optimisation,2021-04-06 11:47:13,105.0,57.0,1.0,2017-02-10 09:03:08,2018-03-08 16:47:00,tcloaa/Deep-Portfolio-Theory,inactive,,
Policy Gradient Portfolio,https://github.com/ZhengyaoJiang/PGPortfolio,A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem.,Portfolio Selection and Optimisation,2021-05-20 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,,
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,,
Modern Portfolio Theory,https://nbviewer.jupyter.org/github/Marigold/universal-portfolios/blob/master/modern-portfolio-theory.ipynb,Universal portfolios; modern portfolio theory.,Portfolio Selection and Optimisation,,,,,,,,,,
401K Portfolio Optimisation,https://github.com/otosman/Python-for-Finance/blob/master/Portfolio%20Optimization%20401k.ipynb,Portfolio analyses and optimisation for 401K.,Portfolio Selection and Optimisation,2020-12-25 09:39:33,14.0,5.0,1.0,2018-08-01 19:48:24,2019-09-05 11:18:56,otosman/Python-for-Finance,active,,
Financial Sentiment Analysis,https://github.com/EricHe98/Financial-Statements-Text-Analysis,"Sentiment, distance and proportion analysis for trading signals.",Textual,2021-04-30 10:07:46,50.0,27.0,1.0,2017-06-23 00:05:49,2019-01-26 03:35:55,EricHe98/Financial-Statements-Text-Analysis,inactive,,
news-emotion,https://github.com/dongyuanxin/news-emotion,NEW,Textual,2021-05-18 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
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
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
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
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,,,,,,,,,,
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
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,,
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,,,
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,,
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,,
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
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,,
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,,
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,,
Financial Sentiment Analysis,https://github.com/EricHe98/Financial-Statements-Text-Analysis,"Sentiment, distance and proportion analysis for trading signals.",Textual,2021-04-30 10:07:46,50.0,27.0,1.0,2017-06-23 00:05:49,2019-01-26 03:35:55,EricHe98/Financial-Statements-Text-Analysis,inactive,,
news-emotion,https://github.com/dongyuanxin/news-emotion,NEW,Textual,2021-05-18 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
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,,
NLP,https://github.com/toamitesh/NLPinFinance,This project assembles a lot of NLP operations needed for finance domain.,Textual,,,,,,,toamitesh/NLPinFinance,,,
FinNLP-Progress,https://github.com/YangLinyi/FinNLP-Progress,NEW,Textual,2021-05-19 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
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,,
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
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
AnomalyDetectionOnRisk,https://github.com/SimonWesterlindVPD/AnomalyDetectionOnRisk,NEW,Unsupervised,2021-05-19 11:40:07,12.0,5.0,1.0,2018-05-31 15:53:02,2018-05-31 16:18:28,SimonWesterlindVPD/AnomalyDetectionOnRisk,inactive,,24:29.9
Fund Clusters,https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb,Data exploration of fund clusters.,Unsupervised,2021-03-31 02:12:50,4.0,3.0,1.0,2018-04-16 22:18:55,2018-06-07 22:01:32,frechfrechfrech/Mutual-Fund-Market-Clusters,inactive,,
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
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,,
@@ -396,4 +397,4 @@ Industry Clustering,https://github.com/SeanMcOwen/FinanceAndPython.com-Clusterin
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
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,,,
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 NYU FRE NYU Courant https://engineering.nyu.edu/academics/departments/finance-and-risk-engineering https://cims.nyu.edu/ Finance and Risk Engineering (NYU Tandon) Courant Institute of Mathematical Sciences, New York University Colleges Centers and Departments
Cornell University https://www.cornell.edu/ Colleges Centers and Departments
Stanford Advanced Financial Technologies https://fintech.stanford.edu/ Stanford Advanced Financial Technologies Laboratory Colleges Centers and Departments
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 Oxford Man https://www.oxford-man.ox.ac.uk/ Oxford-Man Institute of Quantitative Finance Colleges Centers and Departments
18 NYU Courant Cornell University https://cims.nyu.edu/ https://www.cornell.edu/ Courant Institute of Mathematical Sciences, New York University Colleges Centers and Departments
19 stanford-cs229 NYU FRE https://github.com/zyxue/stanford-cs229 https://engineering.nyu.edu/academics/departments/finance-and-risk-engineering NEW Finance and Risk Engineering (NYU Tandon) Courses Colleges Centers and Departments 2021-05-22 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
20 DataCamp Stanford Advanced Financial Technologies https://github.com/wblakecannon/DataCamp https://fintech.stanford.edu/ NEW Stanford Advanced Financial Technologies Laboratory Courses Colleges Centers and Departments 2021-05-15 10:12:20 1167.0 1369.0 28.0 2017-09-18 20:51:08 2020-10-01 20:13:05 wblakecannon/DataCamp active 2021-04-19 01:25:20.750834
21 stanford-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
22 DataScienceSpCourseNotes ppd599 https://github.com/sux13/DataScienceSpCourseNotes https://github.com/gboeing/ppd599 NEW Courses 2021-05-18 18:12:13 2021-05-20 03:49:45 707.0 1078.0 2405.0 456.0 10.0 1.0 2015-03-09 00:51:32 2015-09-01 19:59:59 2016-02-16 06:12:54 2021-05-12 00:29:25 sux13/DataScienceSpCourseNotes gboeing/ppd599 inactive active 2021-04-19 01:25:20.750834
23 courses DAT4 https://github.com/DataScienceSpecialization/courses https://github.com/justmarkham/DAT4 NEW Courses 2021-05-21 12:11:25 2021-05-18 16:23:43 3766.0 749.0 30783.0 652.0 13.0 3.0 2014-01-21 10:22:57 2014-12-10 19:38:29 2016-03-16 12:13:44 2021-02-15 23:26:27 DataScienceSpecialization/courses justmarkham/DAT4 inactive active 2021-04-19 01:25:20.750834
24 DataScienceCourse ml-mipt https://github.com/briandalessandro/DataScienceCourse https://github.com/girafe-ai/ml-mipt NEW Courses 2021-05-21 20:34:07 2021-05-21 13:34:05 586.0 527.0 735.0 379.0 13.0 7.0 2014-10-01 08:45:51 2019-02-01 16:20:39 2020-12-20 13:03:56 2020-11-04 10:56:04 briandalessandro/DataScienceCourse girafe-ai/ml-mipt active 2021-04-19 01:25:20.750834
25 datasciencecoursera stat479-machine-learning-fs19 https://github.com/mGalarnyk/datasciencecoursera https://github.com/rasbt/stat479-machine-learning-fs19 NEW Courses 2021-05-20 21:31:11 2021-04-25 05:26:18 1759.0 650.0 1805.0 223.0 8.0 1.0 2016-12-27 03:59:24 2019-08-07 07:36:20 2021-02-19 04:16:58 2020-11-28 00:04:07 mGalarnyk/datasciencecoursera rasbt/stat479-machine-learning-fs19 active 2021-04-19 01:25:20.750834
26 ml-workspace zero-to-mastery-ml https://github.com/AdicherlaVenkataSai/ml-workspace https://github.com/mrdbourke/zero-to-mastery-ml NEW Courses 2021-05-18 21:04:35 2021-05-22 17:20:48 258.0 730.0 84.0 1266.0 1.0 14.0 2020-07-10 06:38:10 2019-09-23 04:56:51 2020-09-23 18:16:09 2021-04-13 06:55:10 AdicherlaVenkataSai/ml-workspace mrdbourke/zero-to-mastery-ml active 2021-04-19 01:25:20.750834
27 CourseraML stat479-machine-learning-fs18 https://github.com/kaleko/CourseraML https://github.com/rasbt/stat479-machine-learning-fs18 NEW Courses 2021-05-22 12:59:19 2021-05-22 16:10:13 1885.0 421.0 775.0 207.0 0.0 1.0 2015-12-08 00:03:22 2018-09-06 00:30:56 2018-10-30 23:49:56 2018-12-20 23:45:13 kaleko/CourseraML rasbt/stat479-machine-learning-fs18 inactive 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 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
36 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
37 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
38 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
39 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
40 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
41 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
42 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
43 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
44 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
45 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
46 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
47 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
48 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
49 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
50 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
51 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
52 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
53 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
54 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
55 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
56 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
57 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
58 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
59 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
60 coursera-deep-learning-specialization DAT8 https://github.com/amanchadha/coursera-deep-learning-specialization https://github.com/justmarkham/DAT8 NEW Courses 2021-05-22 12:06:19 2021-05-20 03:49:37 299.0 1494.0 308.0 974.0 1.0 2020-06-24 05:59:01 2015-08-07 03:35:51 2021-04-03 23:18:17 2016-04-18 18:34:09 amanchadha/coursera-deep-learning-specialization justmarkham/DAT8 active inactive 2021-04-19 01:25:20.750834
61 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
62 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
63 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
64 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
65 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
66 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
67 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
68 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
69 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
70 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
71 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
72 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
73 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
74 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
75 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
76 Mathematical Finance coursera-deep-learning-specialization https://github.com/yadongli/nyumath2048 https://github.com/amanchadha/coursera-deep-learning-specialization NYU Math-GA 2048: Scientific Computing in Finance. NEW Courses 2021-05-17 01:38:01 2021-05-22 12:06:19 71.0 299.0 63.0 308.0 6.0 1.0 2015-01-25 21:10:37 2020-06-24 05:59:01 2020-03-25 04:24:25 2021-04-03 23:18:17 yadongli/nyumath2048 amanchadha/coursera-deep-learning-specialization active 2021-04-19 01:25:20.750834
77 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
78 Basic Investments Basic Finance https://github.com/SeanMcOwen/FinanceAndPython.com-Investments https://github.com/SeanMcOwen/FinanceAndPython.com-BasicFinance Basic investment tools in python. Source code notebooks basic finance applications. Courses 2021-03-23 06:32:10 2021-03-31 02:09:16 9.0 10.0 5.0 8.0 1.0 2017-08-02 21:52:19 2017-05-06 02:39:05 2017-08-17 03:24:53 2017-06-21 04:04:09 SeanMcOwen/FinanceAndPython.com-Investments SeanMcOwen/FinanceAndPython.com-BasicFinance inactive
79 Handson Python for Finance Octave https://github.com/PacktPublishing/Hands-on-Python-for-Finance https://github.com/schneems/Octave Hands-on Python for Finance published by Packt. NEW Courses 2021-05-20 11:14:12 2021-05-22 18:15:26 127.0 780.0 111.0 496.0 3.0 1.0 2018-08-20 14:10:37 2011-10-24 23:50:52 2021-01-15 08:57:06 2016-07-08 20:45:40 PacktPublishing/Hands-on-Python-for-Finance schneems/Octave active inactive 2021-04-19 01:25:20.750834
80 Risk Management OptML_course https://github.com/andrey-lukyanov/Risk-Management https://github.com/epfml/OptML_course Finance risk engagement course resources. NEW Courses 2021-04-20 08:29:36 2021-05-22 06:48:14 8.0 446.0 5.0 150.0 3.0 10.0 2018-10-03 16:26:14 2018-02-21 19:06:55 2018-12-13 08:04:15 2021-05-18 21:59:13 andrey-lukyanov/Risk-Management epfml/OptML_course inactive active 2021-04-19 01:25:20.750834
81 Basic Derivatives PyMLSlides https://github.com/SeanMcOwen/FinanceAndPython.com-Derivatives https://github.com/dmitriydligach/PyMLSlides Basic forward contracts and hedging. NEW Courses 2021-03-31 02:08:39 2021-05-17 22:17:10 4.0 278.0 4.0 118.0 1.0 0.0 2017-08-24 00:11:37 2017-06-05 13:59:15 2017-10-13 01:32:23 2020-10-06 21:34:43 SeanMcOwen/FinanceAndPython.com-Derivatives dmitriydligach/PyMLSlides inactive active 2021-04-19 01:25:20.750834
82 Algo Trading Intro https://github.com/JCreeks/Machine-Learning-in-Finance/tree/master/0_Intro_to_Algo_Trading https://github.com/rstudio/Intro Intro to algo trading. NEW Courses 2021-05-17 01:37:14 2021-05-01 17:06:45 65.0 230.0 25.0 295.0 1.0 2017-10-29 20:34:54 2014-11-11 20:45:33 2019-01-22 06:56:08 2014-11-12 13:42:32 JCreeks/Machine-Learning-in-Finance rstudio/Intro inactive 2021-04-19 01:25:20.750834
83 Python for Finance python-seminar https://github.com/siaen/python_finance_course https://github.com/profjsb/python-seminar CEU python for finance course material. NEW Courses 2021-04-28 18:10:55 2021-02-07 14:03:41 17.0 302.0 15.0 145.0 4.0 11.0 2017-12-12 11:54:46 2012-08-23 03:30:01 2020-02-25 20:31:41 2020-04-30 20:43:47 siaen/python_finance_course profjsb/python-seminar active 2021-04-19 01:25:20.750834
84 Data-Science-Free Mathematical Finance https://github.com/frontbenchHQ/Data-Science-Free https://github.com/yadongli/nyumath2048 NEW NYU Math-GA 2048: Scientific Computing in Finance. Courses 2021-05-17 07:22:05 2021-05-17 01:38:01 237.0 71.0 163.0 63.0 4.0 6.0 2019-02-10 14:29:29 2015-01-25 21:10:37 2020-07-13 06:36:25 2020-03-25 04:24:25 frontbenchHQ/Data-Science-Free yadongli/nyumath2048 active 2021-04-19 01:25:20.750834
85 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
86 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
87 python-seminar Python for Finance https://github.com/profjsb/python-seminar https://github.com/siaen/python_finance_course NEW CEU python for finance course material. Courses 2021-02-07 14:03:41 2021-04-28 18:10:55 302.0 17.0 145.0 15.0 11.0 4.0 2012-08-23 03:30:01 2017-12-12 11:54:46 2020-04-30 20:43:47 2020-02-25 20:31:41 profjsb/python-seminar siaen/python_finance_course active 2021-04-19 01:25:20.750834
88 Intro Algo Trading https://github.com/rstudio/Intro https://github.com/JCreeks/Machine-Learning-in-Finance/tree/master/0_Intro_to_Algo_Trading NEW Intro to algo trading. Courses 2021-05-01 17:06:45 2021-05-17 01:37:14 230.0 65.0 295.0 25.0 1.0 2014-11-11 20:45:33 2017-10-29 20:34:54 2014-11-12 13:42:32 2019-01-22 06:56:08 rstudio/Intro JCreeks/Machine-Learning-in-Finance inactive 2021-04-19 01:25:20.750834
89 PyMLSlides Basic Derivatives https://github.com/dmitriydligach/PyMLSlides https://github.com/SeanMcOwen/FinanceAndPython.com-Derivatives NEW Basic forward contracts and hedging. Courses 2021-05-17 22:17:10 2021-03-31 02:08:39 278.0 4.0 118.0 4.0 0.0 1.0 2017-06-05 13:59:15 2017-08-24 00:11:37 2020-10-06 21:34:43 2017-10-13 01:32:23 dmitriydligach/PyMLSlides SeanMcOwen/FinanceAndPython.com-Derivatives active inactive 2021-04-19 01:25:20.750834
90 OptML_course Risk Management https://github.com/epfml/OptML_course https://github.com/andrey-lukyanov/Risk-Management NEW Finance risk engagement course resources. Courses 2021-05-22 06:48:14 2021-04-20 08:29:36 446.0 8.0 150.0 5.0 10.0 3.0 2018-02-21 19:06:55 2018-10-03 16:26:14 2021-05-18 21:59:13 2018-12-13 08:04:15 epfml/OptML_course andrey-lukyanov/Risk-Management active inactive 2021-04-19 01:25:20.750834
91 Octave Handson Python for Finance https://github.com/schneems/Octave https://github.com/PacktPublishing/Hands-on-Python-for-Finance NEW Hands-on Python for Finance published by Packt. Courses 2021-05-22 18:15:26 2021-05-20 11:14:12 780.0 127.0 496.0 111.0 1.0 3.0 2011-10-24 23:50:52 2018-08-20 14:10:37 2016-07-08 20:45:40 2021-01-15 08:57:06 schneems/Octave PacktPublishing/Hands-on-Python-for-Finance inactive active 2021-04-19 01:25:20.750834
92 Basic Finance Basic Investments https://github.com/SeanMcOwen/FinanceAndPython.com-BasicFinance https://github.com/SeanMcOwen/FinanceAndPython.com-Investments Source code notebooks basic finance applications. Basic investment tools in python. Courses 2021-03-31 02:09:16 2021-03-23 06:32:10 10.0 9.0 8.0 5.0 1.0 2017-05-06 02:39:05 2017-08-02 21:52:19 2017-06-21 04:04:09 2017-08-17 03:24:53 SeanMcOwen/FinanceAndPython.com-BasicFinance SeanMcOwen/FinanceAndPython.com-Investments inactive
93 Machine Learning for Trading Data-Science-Free https://github.com/stefan-jansen/machine-learning-for-trading https://github.com/frontbenchHQ/Data-Science-Free Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading. NEW Courses 2021-05-22 17:06:28 2021-05-17 07:22:05 4057.0 237.0 1349.0 163.0 8.0 4.0 2018-05-09 12:33:08 2019-02-10 14:29:29 2021-05-13 02:30:47 2020-07-13 06:36:25 stefan-jansen/machine-learning-for-trading frontbenchHQ/Data-Science-Free 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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
IRS http://social-metrics.org/sox/ Data
EDGAR https://github.com/TiesdeKok/UW_Python_Camp/blob/master/Materials/Session_5/EDGAR_walkthrough.ipynb Data 2021-04-29 12:51:47 12.0 11.0 1.0 2018-06-11 22:51:57 2018-07-10 18:03:52 TiesdeKok/UW_Python_Camp inactive
Capital Markets Data https://www.capitalmarketsdata.com/ Data
Financial Corporate http://raw.rutgers.edu/Corporate%20Financial%20Data.html Data
https://github.com/timestocome/StockMarketData https://github.com/timestocome/StockMarketData Data 2021-05-12 12:24:53 7.0 5.0 1.0 2017-05-10 21:49:45 2017-08-06 19:23:18 timestocome/StockMarketData inactive
Web Scraping (FirmAI) https://github.com/firmai/business-machine-learning/blob/master/www.firmai.org/data Data 2021-05-19 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
Non-financial Corporate http://raw.rutgers.edu/Non-Financial%20Corporate%20Data.html Data
https://fred.stlouisfed.org/ https://fred.stlouisfed.org/ Data
http://finance.yahoo.com/ http://finance.yahoo.com/ Data
Rating Industries http://www.ratingshistory.info/ Data
94 https://stooq.com https://stooq.com Data
95 finserv-application-blueprint Web Scraping (FirmAI) https://github.com/mapr-demos/finserv-application-blueprint https://github.com/firmai/business-machine-learning/blob/master/www.firmai.org/data 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 2021-05-19 12:47:12 72.0 583.0 53.0 185.0 5.0 2.0 2016-09-26 19:42:54 2019-02-19 19:02:59 2021-01-20 23:07:40 2020-07-22 16:48:21 mapr-demos/finserv-application-blueprint firmai/business-machine-learning active 2.0 12:49.2
96 Advanced ML Rating Industries https://github.com/BlackArbsCEO/Adv_Fin_ML_Exercises http://www.ratingshistory.info/ 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 http://finance.yahoo.com/ https://github.com/Medha11/Twitter-Trends http://finance.yahoo.com/ 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 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
98 CryptoNets https://fred.stlouisfed.org/ https://github.com/microsoft/CryptoNets https://fred.stlouisfed.org/ CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with [Homomorphic Encryption](https://www.cs.cmu.edu/~odonnell/hits09/gentry-homomorphic-encryption.pdf). Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted. Data Processing Techniques and Transformations Data 2021-05-19 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 Non-financial Corporate http://raw.rutgers.edu/Non-Financial%20Corporate%20Data.html Data
100 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
101 IRS http://social-metrics.org/sox/ Data
102 Capital Markets Data https://www.capitalmarketsdata.com/ Data
103 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
104 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
105 SEC Parsing https://github.com/healthgradient/sec-doc-info-extraction/blob/master/classify_sections_containing_relevant_information.ipynb Data 2021-02-27 06:34:55 9.0 6.0 1.0 2018-06-16 14:30:06 2018-06-16 17:23:46 healthgradient/sec-doc-info-extraction inactive
106 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
107 Financial Corporate http://raw.rutgers.edu/Corporate%20Financial%20Data.html 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 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
115 Deep-Reinforcement-Learning-in-Trading https://github.com/saeed349/Deep-Reinforcement-Learning-in-Trading Deep reinforcement learning for trading leveraging [openai gym](https://gym.openai.com/) framework. Keras implementation of DQN DDQN (double deep Q network) and DDDQN (dueling double dqn) trained/tested on s&p 500 daily data from 2013 to 2018. approach is described in an article [here](https://www.linkedin.com/pulse/deep-reinforcement-learning-trading-saeed-rahman) Deep Learning And Reinforcement Learning 2021-05-22 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
116 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
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 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
121 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
122 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
123 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
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-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
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 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
128 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
129 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
130 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
131 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
132 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
133 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
134 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
135 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
136 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
137 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
138 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
139 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
140 Personae https://github.com/Ceruleanacg/Personae implementation of deep reinforcement learning and supervised learnings covering areas: deep deterministic policy gradient (DDPG) and DDQN etc. Data are being pulled from [rqalpha](https://github.com/ricequant/rqalpha) which is a python backtest engine and have a nice docker image to run training/testing Deep Learning And Reinforcement Learning 2021-05-13 07:15:19 1147.0 333.0 2.0 2018-03-10 11:22:00 2018-09-02 17:21:38 Ceruleanacg/Personae inactive 5.0 3/31/21 8:00
141 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
142 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 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
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
147 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
148 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
149 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
150 Deep Learning IV RL IV https://github.com/achillesrasquinha/bulbea https://github.com/jjakimoto/DQN Bulbea: Deep Learning based Python Library. Reinforcement Learning for finance. Deep Learning And Reinforcement Learning 2021-05-22 18:59:47 2021-04-05 11:42:45 1490.0 142.0 419.0 55.0 1.0 2017-03-09 06:11:06 2016-10-21 02:47:17 2017-03-19 07:42:49 2017-04-07 08:11:57 achillesrasquinha/bulbea jjakimoto/DQN inactive 5.0
151 FinRL TradingGym https://github.com/AI4Finance-LLC/FinRL https://github.com/Yvictor/TradingGym NEW Deep Learning And Reinforcement Learning 2021-05-22 19:44:04 2021-05-21 12:00:29 2064.0 861.0 521.0 241.0 22.0 2.0 2020-07-26 13:18:16 2017-05-01 13:53:32 2021-05-05 14:56:35 2018-02-14 13:58:18 AI4Finance-LLC/FinRL Yvictor/TradingGym active inactive 13:03.7 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
153 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
154 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
156 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
157 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
158 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
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
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
159 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
160 Deep Learning II Advanced-Deep-Trading https://github.com/LiamConnell/deep-algotrading/tree/master/notebooks https://github.com/Rachnog/Advanced-Deep-Trading Tensorflow Regression. 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 2021-05-17 11:55:44 2021-05-21 12:44:28 178.0 327.0 68.0 161.0 1.0 2.0 2016-07-12 12:56:10 2019-02-16 21:18:00 2018-02-16 02:43:36 2020-11-29 20:12:59 LiamConnell/deep-algotrading Rachnog/Advanced-Deep-Trading inactive active 3.0 3/31/21 8:00
161 Personae FinRL https://github.com/Ceruleanacg/Personae https://github.com/AI4Finance-LLC/FinRL implementation of deep reinforcement learning and supervised learnings covering areas: deep deterministic policy gradient (DDPG) and DDQN etc. Data are being pulled from [rqalpha](https://github.com/ricequant/rqalpha) which is a python backtest engine and have a nice docker image to run training/testing NEW Deep Learning And Reinforcement Learning 2021-05-13 07:15:19 2021-05-22 19:44:04 1147.0 2064.0 333.0 521.0 2.0 22.0 2018-03-10 11:22:00 2020-07-26 13:18:16 2018-09-02 17:21:38 2021-05-05 14:56:35 Ceruleanacg/Personae AI4Finance-LLC/FinRL inactive active 5.0 3/31/21 8:00 13:03.7
162 Deep-Learning-Machine-Learning-Stock gs-quant https://github.com/LastAncientOne/Deep-Learning-Machine-Learning-Stock https://github.com/goldmansachs/gs-quant curated list of notebooks for machine learning models. Start with very simple linear models to more advanced reinforcement learning type of models. Problem with this repo is that the library version numbers may be changing over time and there's no specific way to track and upgrade NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-05-20 21:52:03 2021-05-23 00:43:42 302.0 622.0 108.0 183.0 1.0 12.0 2018-09-29 23:38:06 2018-12-14 21:10:40 2021-05-18 02:58:12 2021-05-21 16:33:24 LastAncientOne/Deep-Learning-Machine-Learning-Stock goldmansachs/gs-quant active 3.0 3/31/21 8:00 23:51.4
163 AI Trading robin_stocks https://github.com/borisbanushev/stockpredictionai/blob/master/readme2.md https://github.com/jmfernandes/robin_stocks AI to predict stock market movements. NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-05-22 21:52:02 2021-05-21 21:33:45 2941.0 1072.0 1411.0 284.0 1.0 36.0 2019-01-09 08:02:47 2018-02-23 00:49:37 2019-02-11 16:32:47 2021-05-12 02:21:21 borisbanushev/stockpredictionai jmfernandes/robin_stocks inactive active 5.0 23:51.4
164 RLQuant openAlgo https://github.com/yuriak/RLQuant https://github.com/mtompkins/openAlgo NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-05-11 19:40:02 2021-04-23 13:20:12 277.0 161.0 94.0 82.0 1.0 2.0 2018-04-05 05:42:44 2013-05-28 14:46:53 2018-08-13 04:18:29 2017-03-24 20:00:24 yuriak/RLQuant mtompkins/openAlgo inactive 39:11.1 23:51.4
165 Deep-Reinforcement-Learning-in-Trading Computational Derivatives https://github.com/saeed349/Deep-Reinforcement-Learning-in-Trading https://github.com/chenbowen184/Computational_Finance 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) Projects focusing on investigating simulations and computational techniques applied in finance. Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-05-22 12:17:38 2021-05-18 09:14:31 145.0 19.0 71.0 12.0 1.0 2018-05-11 00:52:14 2018-01-29 05:01:52 2019-10-26 14:22:44 2018-08-02 05:56:49 saeed349/Deep-Reinforcement-Learning-in-Trading chen-bowen/Computational_Finance active inactive 3.0 3/31/21 8:00
166 awesome-deep-trading Derivative Markets https://github.com/cbailes/awesome-deep-trading https://github.com/broughtj/Fin6470/tree/master/Notebooks curated list of papers/repos on topics like CNN/LSTM/GAN/Reinforcement Learning etc. Categorized as deep learning for now but there are other topics here. Manually maintained by cbailes The economics of futures, futures, options, and swaps. Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-05-22 15:32:29 2021-04-15 16:03:10 611.0 8.0 148.0 8.0 1.0 2018-11-26 03:23:04 2016-02-09 05:30:27 2021-01-01 09:41:21 2021-04-15 16:02:59 cbailes/awesome-deep-trading broughtj/Fin6470 active 4.0 3/31/21 8:00
167 FinRL-Library FinancePy https://github.com/AI4Finance-LLC/FinRL-Library https://github.com/domokane/FinancePy started by Columbia university engineering students and designed as an end to end deep reinforcement learning library for automated trading platform. Implementation of DQN DDQN DDPG etc using PyTorch and [gym](https://gym.openai.com/) use [pyfolio](https://github.com/quantopian/pyfolio) for showing backtesting stats. Big contributions on Proximal Policy Optimization (PPO) advantage actor critic (A2C) and Deep Deterministic Policy Gradient (DDPG) agents for trading NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-05-22 19:44:04 2021-05-21 20:27:12 2064.0 482.0 521.0 80.0 22.0 6.0 2020-07-26 13:18:16 2019-10-27 15:04:56 2021-05-05 14:56:35 2021-03-11 21:40:14 AI4Finance-LLC/FinRL domokane/FinancePy active 5.0 3/31/21 8:00 23:51.4
168 DQN-DDPG_Stock_Trading Derivatives Python https://github.com/AI4Finance-LLC/DQN-DDPG_Stock_Trading https://github.com/yhilpisch/dawp/tree/master/python36 merged into FinRL library and uses [gym](https://gym.openai.com/) and implementation of DQN Derivative analytics with Python. Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-05-20 11:56:53 2021-05-14 07:21:16 142.0 397.0 54.0 302.0 4.0 1.0 2018-09-19 03:17:06 2015-07-09 12:27:29 2020-11-26 16:58:00 2021-02-22 13:29:18 AI4Finance-LLC/DQN-DDPG_Stock_Trading yhilpisch/dawp active 3.0 3/31/21 8:00
169 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
170 Pair Trading RL Options https://github.com/shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading https://github.com/QuantConnect/Tutorials/tree/master/06%20Introduction%20to%20Options%5B%5D Using deep actor-critic model to learn best strategies in pair trading. Introduction to options. Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-05-19 03:36:13 2021-05-21 03:33:30 246.0 343.0 116.0 167.0 1.0 36.0 2017-05-18 16:47:11 2017-07-28 15:48:29 2017-05-18 16:56:38 2021-03-17 17:17:08 shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading QuantConnect/Tutorials inactive active 3.0
171 crypto-rl Options https://github.com/sadighian/crypto-rl https://github.com/PHBS/2018.M1.ASP/tree/master/py 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) Black Scholes and Copula. Deep Learning And Reinforcement Learning Derivatives and Hedging 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 PHBS/2018.M1.ASP active 3.0 3/31/21 8:00
172 pairstrade-fyp-2019 Black Scholes https://github.com/wywongbd/pairstrade-fyp-2019 https://github.com/irajwani/numerical_methods_python/blob/master/black_scholes.ipynb NEW Options pricing. Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-05-12 00:28:30 2020-10-06 20:36:29 115.0 1.0 42.0 2.0 2.0 0.0 2018-09-07 07:51:06 2017-12-09 18:50:20 2020-05-13 05:06:51 2018-07-09 09:48:36 wywongbd/pairstrade-fyp-2019 irajwani/numerical_methods_python active inactive 39:11.1
173 Deep Learning III Volatility and Variance Derivatives https://github.com/Rachnog/Deep-Trading https://github.com/yhilpisch/lvvd/tree/master/lvvd Algorithmic trading with deep learning experiments. Volatility derivatives analytics. Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-05-20 21:38:04 2021-05-18 13:36:49 1273.0 83.0 682.0 78.0 1.0 2016-06-18 18:23:06 2016-10-21 04:12:50 2018-08-07 15:24:45 2021-05-15 10:12:38 Rachnog/Deep-Trading yhilpisch/lvvd inactive active 5.0
174 AutomatedStockTrading-DeepQ-Learning fast_arrow https://github.com/sachink2010/AutomatedStockTrading-DeepQ-Learning https://github.com/westonplatter/fast_arrow cornerstone project repo for Udacity nanodegree program [Become a machine learning engineer](https://www.udacity.com/course/machine-learning-engineer-nanodegree--nd009t) and focus on trading using deep q learning. Good explanation on design choices in the report NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-04-22 07:42:30 2021-05-20 12:43:34 134.0 129.0 53.0 42.0 2.0 5.0 2019-02-23 12:01:21 2018-07-19 23:15:25 2020-02-25 18:16:34 2020-04-18 18:05:37 sachink2010/AutomatedStockTrading-DeepQ-Learning westonplatter/fast_arrow active 3.0 3/31/21 8:00 23:51.4
175 DeepLearningInFinance Derman https://github.com/sonaam1234/DeepLearningInFinance https://github.com/rstreppa/valuation-convertibles-Goldman1994/blob/master/ConvertibleBond_Goldman1994_Derman.ipynb Based on a [talk](https://towardsdatascience.com/deep-learning-in-finance-9e088cb17c03) Sonam Srivastava gave and there are two studies: 1. single timeseries return prediction using ARIMA/VAR/SVR/Deep Regression/CNN/LSTM 2. indexed portfolio construction using autoencoders i.e. replicate a index using handful of stocks. Binomial tree for American call. Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-05-11 08:29:30 2020-10-06 20:37:15 265.0 1.0 146.0 3.0 1.0 2017-08-21 16:00:42 2018-05-18 18:08:16 2017-08-21 17:23:48 2018-09-21 19:59:01 sonaam1234/DeepLearningInFinance rstreppa/valuation-convertibles-Goldman1994 inactive 3.0 3/31/21 8:00
176 rl_trading Strata https://github.com/ucaiado/rl_trading https://github.com/OpenGamma/Strata NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-05-13 17:59:54 2021-05-18 09:17:00 213.0 618.0 89.0 218.0 1.0 42.0 2017-05-29 22:19:00 2014-06-16 11:45:55 2017-08-29 14:54:50 2021-05-04 10:15:30 ucaiado/rl_trading OpenGamma/Strata inactive active 39:11.1 23:51.4
177 Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020 Hull White https://github.com/AI4Finance-LLC/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020 https://github.com/rstreppa/valuation-callables-HullWhite/blob/master/CallableBond_HullWhite.ipynb 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. Callable Bond, Hull White. Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-05-22 02:21:14 2020-10-06 20:37:16 629.0 4.0 277.0 6.0 6.0 1.0 2020-07-26 13:12:53 2018-06-06 22:06:06 2021-01-21 18:11:59 2018-06-06 22:27:02 AI4Finance-LLC/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020 rstreppa/valuation-callables-HullWhite active inactive 4.0 3/31/21 8:00
178 a3c_trading StockSharp https://github.com/evgps/a3c_trading https://github.com/StockSharp/StockSharp NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-05-11 15:56:21 2021-05-22 21:53:26 315.0 4060.0 99.0 1262.0 1.0 17.0 2018-06-04 15:30:16 2014-12-08 07:53:44 2020-05-23 14:47:54 2021-05-17 19:52:45 evgps/a3c_trading StockSharp/StockSharp active 39:11.1 23:51.4
179 QLearning_Trading wallstreet https://github.com/ucaiado/QLearning_Trading https://github.com/mcdallas/wallstreet NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-05-18 13:41:49 2021-05-20 12:34:22 439.0 587.0 170.0 128.0 1.0 2.0 2016-08-10 06:02:23 2016-01-20 22:03:39 2016-10-15 02:36:09 2019-08-09 23:14:52 ucaiado/QLearning_Trading mcdallas/wallstreet inactive active 39:11.1 23:51.4
180 trading-bot QLNet https://github.com/pskrunner14/trading-bot https://github.com/amaggiulli/QLNet 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 Derivatives and Hedging 2021-05-10 16:43:24 2021-05-19 02:54:53 309.0 265.0 158.0 134.0 1.0 13.0 2018-08-13 10:44:08 2013-08-22 14:51:43 2020-01-23 04:41:20 2021-03-02 18:39:41 pskrunner14/trading-bot amaggiulli/QLNet active 3.0 3/31/21 8:00 23:51.4
181 RL Trading akshare https://colab.research.google.com/drive/1FzLCI0AO3c7A4bp9Fi01UwXeoc7BN8sW https://github.com/jindaxiang/akshare A collection of 25+ Reinforcement Learning Trading Strategies -Google Colab. NEW Deep Learning And Reinforcement Learning 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 4.0 23:51.4
182 Trading-Gym Options_Data_Science https://github.com/thedimlebowski/Trading-Gym https://github.com/yugedata/Options_Data_Science NEW Deep Learning And Reinforcement Learning Derivatives and Hedging 2021-05-15 23:25:58 2021-05-19 18:24:05 509.0 243.0 147.0 41.0 3.0 1.0 2017-06-13 13:14:48 2020-12-09 04:51:20 2017-07-10 08:09:30 2021-05-13 04:13:21 thedimlebowski/Trading-Gym yugedata/Options_Data_Science inactive active 39:11.1 23:51.4
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
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
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 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
185 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
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
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 Option Strategies https://github.com/rstreppa/valuation-OptionStrategies Valuation of Vanilla and Exotic option strategies (Butterfly, Risk Reversal etc.) with widget animations. Derivatives and Hedging 2021-02-27 08:50:16 2.0 3.0 1.0 2018-05-22 18:27:26 2018-05-22 18:30:24 rstreppa/valuation-OptionStrategies inactive
190 Options Risk Measures optopsy https://github.com/wanglouis49/risk_estimation https://github.com/michaelchu/optopsy Efficient financial risk estimation via computer experiment design (regression + variance-reduced sampling). NEW Derivatives and Hedging 2020-10-06 20:37:02 2021-05-20 19:13:27 1.0 412.0 2.0 89.0 1.0 3.0 2016-04-29 03:51:25 2017-09-17 01:49:54 2018-01-16 01:24:07 2021-05-14 14:33:10 wanglouis49/risk_estimation michaelchu/optopsy inactive active 23:51.4
191 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
192 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
193 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
195 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
196 trade-frame https://github.com/rburkholder/trade-frame NEW Derivatives and Hedging 2021-05-17 00:52:36 194.0 79.0 1.0 2016-07-24 15:25:30 2021-05-17 00:52:08 rburkholder/trade-frame active 23:51.4
197 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
198 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
199 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
200 akshare avellaneda-stoikov https://github.com/jindaxiang/akshare https://github.com/ragoragino/avellaneda-stoikov NEW Derivatives and Hedging Extended Research 2021-05-22 23:25:57 2021-04-06 09:40:48 3539.0 56.0 722.0 19.0 11.0 1.0 2019-10-01 07:34:12 2017-10-21 20:53:00 2021-05-22 07:47:58 2017-10-30 18:23:27 jindaxiang/akshare ragoragino/avellaneda-stoikov active inactive 23:51.4 2021-04-21 01:25:51.827641
201 Options_Data_Science tectonicdb https://github.com/yugedata/Options_Data_Science https://github.com/0b01/tectonicdb NEW Derivatives and Hedging Extended Research 2021-05-19 18:24:05 2021-05-20 22:19:22 243.0 343.0 41.0 54.0 1.0 10.0 2020-12-09 04:51:20 2017-10-03 00:34:01 2021-05-13 04:13:21 2020-09-08 23:02:20 yugedata/Options_Data_Science 0b01/tectonicdb active 23:51.4 2021-04-21 01:25:51.827641
202 wallstreet 2018-Kaggle-AdTrackingFraud https://github.com/mcdallas/wallstreet https://github.com/ShawnyXiao/2018-Kaggle-AdTrackingFraud NEW Derivatives and Hedging Extended Research 2021-05-20 12:34:22 2021-05-21 03:36:04 587.0 72.0 128.0 23.0 2.0 1.0 2016-01-20 22:03:39 2018-05-08 09:29:46 2019-08-09 23:14:52 2019-01-12 07:57:33 mcdallas/wallstreet ShawnyXiao/2018-Kaggle-AdTrackingFraud active inactive 23:51.4 2021-04-21 01:25:51.827641
203 Hull White Chronicle-Accelerate https://github.com/rstreppa/valuation-callables-HullWhite/blob/master/CallableBond_HullWhite.ipynb https://github.com/OpenHFT/Chronicle-Accelerate Callable Bond, Hull White. NEW Derivatives and Hedging Extended Research 2020-10-06 20:37:16 2020-12-11 04:11:30 4.0 55.0 6.0 12.0 1.0 7.0 2018-06-06 22:06:06 2018-01-24 08:52:53 2018-06-06 22:27:02 2018-08-11 12:11:43 rstreppa/valuation-callables-HullWhite OpenHFT/Chronicle-Accelerate inactive 2021-04-21 01:25:51.827641
204 FinancePy Financial-Formulas-Library-.NET-Standard https://github.com/domokane/FinancePy https://github.com/srbrettle/Financial-Formulas-Library-.NET-Standard NEW Derivatives and Hedging Extended Research 2021-05-21 20:27:12 2021-05-20 07:46:01 482.0 107.0 80.0 31.0 6.0 2.0 2019-10-27 15:04:56 2018-09-01 17:43:37 2021-03-11 21:40:14 2019-11-22 12:50:30 domokane/FinancePy srbrettle/Financial-Formulas-Library-.NET-Standard active 23:51.4 2021-04-21 01:25:51.827641
205 Computational Derivatives go-quantcup https://github.com/chenbowen184/Computational_Finance https://github.com/rdingwall/go-quantcup Projects focusing on investigating simulations and computational techniques applied in finance. NEW Derivatives and Hedging Extended Research 2021-05-18 09:14:31 2021-05-16 22:40:27 19.0 73.0 12.0 36.0 1.0 2018-01-29 05:01:52 2015-02-04 10:33:12 2018-08-02 05:56:49 2015-06-11 12:50:09 chen-bowen/Computational_Finance rdingwall/go-quantcup inactive 2021-04-21 01:25:51.827641
206 Derivatives Python freqtrade_bot https://github.com/yhilpisch/dawp/tree/master/python36 https://github.com/michael-fourie/freqtrade_bot Derivative analytics with Python. NEW Derivatives and Hedging Extended Research 2021-05-14 07:21:16 2021-05-22 08:37:20 397.0 66.0 302.0 24.0 1.0 2015-07-09 12:27:29 2020-12-21 00:14:25 2021-02-22 13:29:18 2021-01-07 19:52:54 yhilpisch/dawp michael-fourie/freqtrade_bot active 2021-04-21 01:25:51.827641
207 robin_stocks ITCH https://github.com/jmfernandes/robin_stocks https://github.com/martinobdl/ITCH NEW Derivatives and Hedging Extended Research 2021-05-21 21:33:45 2021-05-12 02:47:46 1072.0 68.0 284.0 27.0 36.0 3.0 2018-02-23 00:49:37 2019-03-09 18:20:12 2021-05-12 02:21:21 2020-07-25 10:24:10 jmfernandes/robin_stocks martinobdl/ITCH active 23:51.4 2021-04-21 01:25:51.827641
208 gs-quant Coiner https://github.com/goldmansachs/gs-quant https://github.com/jihoonerd/Coiner NEW Derivatives and Hedging Extended Research 2021-05-23 00:43:42 2021-04-07 16:15:41 622.0 50.0 183.0 20.0 12.0 1.0 2018-12-14 21:10:40 2017-09-26 04:14:36 2021-05-21 16:33:24 2018-01-01 13:13:21 goldmansachs/gs-quant jihoonerd/Coiner active inactive 23:51.4 2021-04-21 01:25:51.827641
209 Derivative Markets HFT-CNN https://github.com/broughtj/Fin6470/tree/master/Notebooks https://github.com/ShimShim46/HFT-CNN The economics of futures, futures, options, and swaps. NEW Derivatives and Hedging Extended Research 2021-04-15 16:03:10 2021-05-10 14:09:50 8.0 72.0 8.0 18.0 1.0 2016-02-09 05:30:27 2018-08-18 06:39:32 2021-04-15 16:02:59 2018-11-09 02:29:00 broughtj/Fin6470 ShimShim46/HFT-CNN active inactive 2021-04-21 01:25:51.827641
210 MarketAnalysis A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market https://github.com/Poseyy/MarketAnalysis https://github.com/SheikhRabiul/A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market NEW Derivatives and Hedging Extended Research 2021-05-11 10:05:43 2021-05-13 21:05:04 175.0 51.0 78.0 20.0 1.0 2019-03-28 19:46:34 2017-11-27 06:37:43 2020-08-06 05:15:46 2019-01-08 18:13:34 Poseyy/MarketAnalysis SheikhRabiul/A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market active inactive 23:51.4 2021-04-21 01:25:51.827641
211 StockSharp MIDAS https://github.com/StockSharp/StockSharp https://github.com/Stream-AD/MIDAS NEW Derivatives and Hedging Extended Research 2021-05-22 21:53:26 2021-05-15 16:22:28 4060.0 610.0 1262.0 71.0 17.0 3.0 2014-12-08 07:53:44 2019-10-23 03:50:50 2021-05-17 19:52:45 2021-04-11 02:23:01 StockSharp/StockSharp Stream-AD/MIDAS active 23:51.4 2021-04-21 01:25:51.827641
212 Options Currency PCA https://github.com/PHBS/2018.M1.ASP/tree/master/py https://github.com/shanemulqueen/python-finance-pca/blob/master/FX_spots_w_PCA.ipynb Black Scholes and Copula. Forex spots PCA. Derivatives and Hedging 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 PHBS/2018.M1.ASP shanemulqueen/python-finance-pca inactive
213 Black Scholes Bayesian Finance https://github.com/irajwani/numerical_methods_python/blob/master/black_scholes.ipynb https://github.com/marketneutral/alphatools/blob/master/notebooks/pymc3-minimal.ipynb Options pricing. Notebook PyMC3 implementation. Derivatives and Hedging Extended Research 2020-10-06 20:36:29 2021-05-22 04:29:43 1.0 246.0 2.0 58.0 0.0 1.0 2017-12-09 18:50:20 2018-08-28 14:45:00 2018-07-09 09:48:36 2020-08-06 22:03:47 irajwani/numerical_methods_python marketneutral/alphatools inactive active
214 QLNet HFT-Orderbook https://github.com/amaggiulli/QLNet https://github.com/Crypto-toolbox/HFT-Orderbook NEW Derivatives and Hedging Extended Research 2021-05-19 02:54:53 2021-05-22 09:34:04 265.0 433.0 134.0 145.0 13.0 4.0 2013-08-22 14:51:43 2017-07-26 08:42:19 2021-03-02 18:39:41 2018-08-24 13:35:39 amaggiulli/QLNet Crypto-toolbox/HFT-Orderbook active inactive 23:51.4 2021-04-21 01:25:51.827641
215 Volatility and Variance Derivatives hft https://github.com/yhilpisch/lvvd/tree/master/lvvd https://github.com/nickhuangxinyu/hft Volatility derivatives analytics. NEW Derivatives and Hedging Extended Research 2021-05-18 13:36:49 2021-05-22 12:58:32 83.0 153.0 78.0 73.0 1.0 2.0 2016-10-21 04:12:50 2019-03-12 14:57:01 2021-05-15 10:12:38 2021-05-07 04:09:18 yhilpisch/lvvd nickhuangxinyu/hft active 2021-04-21 01:25:51.827641
216 Options OpenHFT https://github.com/QuantConnect/Tutorials/tree/master/06%20Introduction%20to%20Options%5B%5D https://github.com/OpenHFT/OpenHFT Introduction to options. NEW Derivatives and Hedging Extended Research 2021-05-21 03:33:30 2021-05-22 08:52:10 343.0 471.0 167.0 150.0 36.0 33.0 2017-07-28 15:48:29 2013-12-26 10:22:00 2021-03-17 17:17:08 2021-05-22 08:52:05 QuantConnect/Tutorials OpenHFT/OpenHFT active 2021-04-21 01:25:51.827641
217 fast_arrow example-hftish https://github.com/westonplatter/fast_arrow https://github.com/alpacahq/example-hftish NEW Derivatives and Hedging Extended Research 2021-05-20 12:43:34 2021-05-22 10:35:54 129.0 383.0 42.0 167.0 5.0 3.0 2018-07-19 23:15:25 2019-01-25 14:56:38 2020-04-18 18:05:37 2019-10-25 02:16:27 westonplatter/fast_arrow alpacahq/example-hftish active 23:51.4 2021-04-21 01:25:51.827641
218 Derman HFT https://github.com/rstreppa/valuation-convertibles-Goldman1994/blob/master/ConvertibleBond_Goldman1994_Derman.ipynb https://github.com/rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy Binomial tree for American call. High frequency trading. Derivatives and Hedging Extended Research 2020-10-06 20:37:15 2021-05-16 05:14:25 1.0 774.0 3.0 338.0 1.0 2018-05-18 18:08:16 2016-07-21 05:14:14 2018-09-21 19:59:01 2017-02-14 16:47:25 rstreppa/valuation-convertibles-Goldman1994 rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy inactive
219 Strata algo-trader-tool-suite https://github.com/OpenGamma/Strata https://github.com/K0414/algo-trader-tool-suite NEW Derivatives and Hedging Extended Research 2021-05-18 09:17:00 2021-04-15 04:00:52 618.0 58.0 218.0 52.0 42.0 1.0 2014-06-16 11:45:55 2013-10-24 14:57:12 2021-05-04 10:15:30 2013-10-24 15:01:56 OpenGamma/Strata K0414/algo-trader-tool-suite active inactive 23:51.4 2021-04-21 01:25:51.827641
220 openAlgo Bayesian Finance I https://github.com/mtompkins/openAlgo https://github.com/AlexIoannides/pymc-stochastic-process/blob/master/bayes_stoch_proc_calib.ipynb NEW Stochastic Process Calibration using Bayesian Inference & Probabilistic Programs. Derivatives and Hedging Extended Research 2021-04-23 13:20:12 2021-05-18 12:27:07 161.0 27.0 82.0 6.0 2.0 0.0 2013-05-28 14:46:53 2019-01-04 12:30:41 2017-03-24 20:00:24 2019-02-18 09:55:21 mtompkins/openAlgo AlexIoannides/pymc-stochastic-process inactive 23:51.4
221 fraud-detection-demo ReactiveTraderCloud https://github.com/afedulov/fraud-detection-demo https://github.com/AdaptiveConsulting/ReactiveTraderCloud NEW Extended Research 2021-05-21 10:33:08 2021-05-20 12:47:54 169.0 1581.0 70.0 501.0 2.0 81.0 2019-11-04 09:23:17 2015-11-13 19:24:11 2021-01-05 19:28:04 2021-05-10 13:20:10 afedulov/fraud-detection-demo AdaptiveConsulting/ReactiveTraderCloud active 2021-04-21 01:25:51.827641
222 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
223 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
224 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
225 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
226 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
227 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
228 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
229 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
230 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
231 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
232 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
233 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
234 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
235 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
236 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
237 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
238 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
239 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
240 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
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 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
247 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
248 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
249 StockPredictionRNN Computational Finance https://github.com/dzitkowskik/StockPredictionRNN https://github.com/lnsongxf/Applied_Computational_Economics_and_Finance NEW Applied Computational Economics and Finance. Extended Research 2021-05-22 11:05:01 2021-05-21 02:57:11 496.0 13.0 215.0 14.0 2.0 1.0 2015-11-26 19:00:35 2017-08-27 03:46:33 2016-05-21 15:51:22 2017-08-26 04:26:04 dzitkowskik/StockPredictionRNN lnsongxf/Applied_Computational_Economics_and_Finance 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
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
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
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
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
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
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
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
fx_systrade https://github.com/ryogrid/fx_systrade NEW Extended Research 2021-05-09 01:04:16 81.0 29.0 2.0 2015-07-24 11:46:28 2020-10-23 10:17:01 ryogrid/fx_systrade active 2021-04-21 01:25:51.827641
Fraud-detection-using-deep-learning https://github.com/aaxwaz/Fraud-detection-using-deep-learning NEW Extended Research 2021-03-10 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
250 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
251 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
252 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
253 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
254 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
255 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
256 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
257 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
258 FX-Trading-with-Python-and-Oanda https://github.com/anthonyng2/FX-Trading-with-Python-and-Oanda NEW Extended Research 2021-02-20 20:49:53 57.0 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
259 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
260 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
261 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
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 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
264 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
265 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
266 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
267 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
268 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
269 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
270 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
271 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
272 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
273 fecon236 UGFraud https://github.com/MathSci/fecon236 https://github.com/safe-graph/UGFraud NEW Extended Research 2021-05-05 08:23:20 2021-05-24 11:06:31 75.0 55.0 44.0 15.0 2.0 2018-04-05 19:34:51 2020-06-01 22:34:14 2019-01-11 08:07:56 2021-04-11 19:01:44 MathSci/fecon236 safe-graph/UGFraud inactive active 2021-04-21 01:25:51.827641 2021-05-26 02:41:08.838631
274 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
275 gym-fx Trading-Bot https://github.com/harveybc/gym-fx https://github.com/RaidasGrisk/Trading-Bot NEW Extended Research 2021-05-19 00:21:40 2021-05-10 21:09:44 156.0 76.0 42.0 30.0 1.0 2017-02-21 21:04:09 2017-11-27 21:20:40 2020-06-03 21:03:14 2018-01-22 21:00:57 harveybc/gym-fx RaidasGrisk/Trading-Bot active inactive 2021-04-21 01:25:51.827641
276 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
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 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
283 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
284 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
285 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
286 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
287 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
288 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
289 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
290 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
291 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
292 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
293 roq-api gym-fx https://github.com/roq-trading/roq-api https://github.com/harveybc/gym-fx NEW Extended Research 2021-05-22 11:20:24 2021-05-19 00:21:40 153.0 156.0 46.0 42.0 1.0 2018-03-05 08:37:57 2017-02-21 21:04:09 2021-04-15 04:00:44 2020-06-03 21:03:14 roq-trading/roq-api harveybc/gym-fx active 2021-04-21 01:25:51.827641
294 Fraud_Detector https://github.com/kskk02/Fraud_Detector NEW Extended Research 2021-05-19 15:04:04 58.0 35.0 1.0 2014-07-03 20:52:51 2015-01-15 22:03:04 kskk02/Fraud_Detector inactive 2021-04-21 01:25:51.827641
295 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
296 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
297 Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras roq-api https://github.com/curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras https://github.com/roq-trading/roq-api NEW Extended Research 2021-05-12 09:36:45 2021-05-22 11:20:24 346.0 153.0 238.0 46.0 1.0 2017-06-09 13:58:13 2018-03-05 08:37:57 2019-06-28 09:27:45 2021-04-15 04:00:44 curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras roq-trading/roq-api 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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Corporate Finance https://github.com/SeanMcOwen/FinanceAndPython.com-CorporateFinance Basic corporate finance. Extended Research 2021-01-16 19:01:31 9.0 5.0 1.0 2017-09-09 03:35:24 2017-09-09 23:04:48 SeanMcOwen/FinanceAndPython.com-CorporateFinance inactive
tribeca https://github.com/michaelgrosner/tribeca NEW Extended Research 2021-05-22 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
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
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
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
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
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
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
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
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
298 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
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
299 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
300 rating_history Quant Finance https://github.com/govwiki/rating_history https://github.com/mrefermat/quant_finance NEW General quant repository. Fixed Income Factor and Risk Analysis 2021-05-02 23:24:59 2021-04-20 13:01:20 27.0 30.0 14.0 17.0 1.0 2017-11-23 22:52:14 2018-08-11 22:59:53 2017-12-03 20:42:49 2019-11-12 04:49:01 govwiki/rating_history mrefermat/quant_finance inactive active 24:33.4
301 market-data Performance Analysis https://github.com/kriasoft/market-data https://github.com/quantopian/alphalens NEW Performance analysis of predictive (alpha) stock factors. Fixed Income Factor and Risk Analysis 2020-06-22 10:58:20 2021-05-22 11:16:23 25.0 1920.0 20.0 729.0 1.0 17.0 2012-12-07 13:42:48 2016-06-03 21:49:15 2012-12-15 12:10:06 2020-04-27 18:40:41 kriasoft/market-data quantopian/alphalens inactive active 24:33.4
302 Binomial Tree Statistical Finance https://github.com/hy-lei/math-finance-exercise https://github.com/mrefermat/FinancePhD/tree/master/FinancialExperiments Utility functions in fixed income securities. Various financial experiments. Fixed Income Factor and Risk Analysis 2020-10-06 20:55:18 2021-03-30 00:09:28 1.0 21.0 2.0 17.0 1.0 2019-02-02 08:44:14 2015-10-04 09:10:54 2019-05-03 17:16:52 2020-03-28 18:33:58 hy-lei/math-finance-toolbox mrefermat/FinancePhD inactive active
303 MagentoExtensions Quantropy https://github.com/5mehulhelp5/MagentoExtensions https://github.com/AlainDaccache/Quantropy NEW Fixed Income Factor and Risk Analysis 2021-04-28 18:58:25 2021-05-18 13:13:27 107.0 24.0 110.0 4.0 2.0 2014-07-03 05:45:54 2020-06-13 15:34:25 2017-11-24 16:15:49 2021-03-15 01:49:23 5mehulhelp5/MagentoExtensions AlainDaccache/Quantropy inactive active 24:33.4 2021-05-05 01:50:30.163258
304 -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
305 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
306 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
307 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
308 Risk Basic https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%203%2C%20Risk.ipynb Active portfolio risk management . Factor and Risk Analysis 2021-03-01 13:53:42 31.0 18.0 1.0 2016-05-10 11:03:48 2016-05-17 03:44:56 RJT1990/Active-Portfolio-Management-Notes inactive
309 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
310 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
311 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
312 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
313 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
314 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
315 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
316 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
317 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
318 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
319 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
320 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
321 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
322 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
323 woe Binomial Tree https://github.com/boredbird/woe https://github.com/hy-lei/math-finance-exercise NEW Utility functions in fixed income securities. Fixed Income 2021-05-22 04:02:50 2020-10-06 20:55:18 228.0 1.0 96.0 2.0 1.0 2017-09-11 07:15:04 2019-02-02 08:44:14 2018-03-01 10:45:40 2019-05-03 17:16:52 boredbird/woe hy-lei/math-finance-toolbox inactive 24:33.4
324 AlphaPy market-data https://github.com/ScottfreeLLC/AlphaPy https://github.com/kriasoft/market-data 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 NEW Other Models Fixed Income 2021-05-20 11:20:12 2020-06-22 10:58:20 590.0 25.0 134.0 20.0 3.0 1.0 2016-02-14 00:47:32 2012-12-07 13:42:48 2021-02-08 21:35:40 2012-12-15 12:10:06 ScottfreeLLC/AlphaPy kriasoft/market-data active inactive 4.0 39:24.6 24:33.4
325 Hands-On-Machine-Learning-for-Algorithmic-Trading rating_history https://github.com/PacktPublishing/Hands-On-Machine-Learning-for-Algorithmic-Trading https://github.com/govwiki/rating_history 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 NEW Other Models Fixed Income 2021-05-21 11:20:29 2021-05-02 23:24:59 622.0 27.0 402.0 14.0 2.0 1.0 2019-05-07 11:04:25 2017-11-23 22:52:14 2021-01-19 07:51:00 2017-12-03 20:42:49 PacktPublishing/Hands-On-Machine-Learning-for-Algorithmic-Trading govwiki/rating_history active inactive 5.0 39:24.6 24:33.4
326 CryptoBot MagentoExtensions https://github.com/AdeelMufti/CryptoBot https://github.com/5mehulhelp5/MagentoExtensions 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 NEW Other Models Fixed Income 2021-05-21 16:30:04 2021-04-28 18:58:25 242.0 107.0 95.0 110.0 1.0 2.0 2017-01-17 12:44:52 2014-07-03 05:45:54 2017-01-17 12:48:17 2017-11-24 16:15:49 AdeelMufti/CryptoBot 5mehulhelp5/MagentoExtensions inactive 2.0 39:24.6 24:33.4
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
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
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
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
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
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
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
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
Mixture Models I https://github.com/BlackArbsCEO/Mixture_Models Mixture models to predict market bottoms and regime changes based on a seminar given to quantinsti in 2017 and summary and video is [here](https://blog.quantinsti.com/webinar-can-we-use-mixture-models-to-predict-market-bottoms/). Gaussian mixture models are build on markov models and expectation maximization thoery to detect regimes and seminar reported positive results using features asset returns/tedrate/10y2ysptread/10y3m spread from fred which can be access here [fredapi](https://github.com/mortada/fredapi). Though most of the returns came from being long equities after 2009 Other Models 2021-05-16 20:01:22 32.0 32.0 1.0 2017-03-20 18:54:24 2017-04-25 23:35:20 BlackArbsCEO/Mixture_Models inactive 2.0
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 Trend Following http://inseaddataanalytics.github.io/INSEADAnalytics/ExerciseSet2.html A futures trend following portfolio investment strategy. Other Models
329 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
330 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
331 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
332 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
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
333 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
334 Mixture Models I https://github.com/BlackArbsCEO/Mixture_Models Mixture models to predict market bottoms and regime changes based on a seminar given to quantinsti in 2017 and summary and video is [here](https://blog.quantinsti.com/webinar-can-we-use-mixture-models-to-predict-market-bottoms/). Gaussian mixture models are build on markov models and expectation maximization thoery to detect regimes and seminar reported positive results using features asset returns/tedrate/10y2ysptread/10y3m spread from fred which can be access here [fredapi](https://github.com/mortada/fredapi). Though most of the returns came from being long equities after 2009 Other Models 2021-05-16 20:01:22 32.0 32.0 1.0 2017-03-20 18:54:24 2017-04-25 23:35:20 BlackArbsCEO/Mixture_Models inactive 2.0
335 fin-ml https://github.com/tatsath/fin-ml accompanying materials for book [Machine Learning and Data Science Blueprints for Finance](https://www.amazon.com/Machine-Learning-Science-Blueprints-Finance/dp/1492073059) on top of basic machine learning models i.e. nlp/reinforcement learning/supervised & unsupervised learning it covers wider topics including robo-advisors/fraud detection/loan default/derivative pricing/yield curve construction. Other Models 2021-05-22 21:25:32 130.0 82.0 2.0 2020-05-10 00:25:56 2021-01-23 17:15:07 tatsath/fin-ml active 4.0 39:24.6
336 Awesome-Quant-Machine-Learning-Trading https://github.com/grananqvist/Awesome-Quant-Machine-Learning-Trading curated list of books/online courses/youtube videos/blogs/interviews/papers/code etc. Updates are pretty infrequent Other Models 2021-05-22 16:44:20 1051.0 338.0 3.0 2018-11-05 21:09:06 2020-10-08 16:48:18 grananqvist/Awesome-Quant-Machine-Learning-Trading active 5.0 39:24.6
337 Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original https://github.com/PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original official repo for [machine learning for algorithmic trading](https://www.amazon.com/Machine-Learning-Algorithmic-Trading-alternative/dp/1839217715?pf_rd_r=GZH2XZ35GB3BET09PCCA&pf_rd_p=c5b6893a-24f2-4a59-9d4b-aff5065c90ec&pd_rd_r=91a679c7-f069-4a6e-bdbb-a2b3f548f0c8&pd_rd_w=2B0Q0&pd_rd_wg=GMY5S&ref_=pd_gw_ci_mcx_mr_hp_d) book. Covering topics including backtesting/boosting/nlp/deep&reinforcement learning. Leverage open source libraries including [backtrader](https://www.backtrader.com/) [zipline](https://github.com/quantopian/zipline) and [talib](https://github.com/mrjbq7/ta-lib) Other Models 2021-05-22 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
338 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
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 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
341 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
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 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
345 Hands-On-Machine-Learning-for-Algorithmic-Trading https://github.com/PacktPublishing/Hands-On-Machine-Learning-for-Algorithmic-Trading repo for book [hands-on-machine learning for algorithmic trading](https://www.packtpub.com/product/hands-on-machine-learning-for-algorithmic-trading/9781789346411) covering topic from data/unsupervised learning/NPL/RNN & CNN/reinforcement learning etc. Leverage zipline/alphalens/sklearn/openai-gym etc as well. Good references to have Other Models 2021-05-21 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
346 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
347 finance_ml https://github.com/jjakimoto/finance_ml unofficial repo based on [Advances in Financial Machine Learning](https://www.amazon.com/Advances-Financial-Machine-Learning-Marcos/dp/1119482089). It's incomplete and not updated Other Models 2021-05-19 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
348 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
349 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
350 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
351 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
352 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
353 Machine-Learning-For-Finance https://github.com/anthonyng2/Machine-Learning-For-Finance accompanying materials for slide [here](https://github.com/anthonyng2/Machine-Learning-For-Finance/blob/master/Regression%20Based%20Machine%20Learning%20for%20Algorithmic%20Trading/Machine%20Learning%20-%20Linear%20Regression%20for%20Algo%20Trading%20v2017-07-13.pdf) covering more tradition quant trading topics like pair trading/kalman filter/trend following etc. Referecing interesting paper [characterization of financial time series](http://www.cs.ucl.ac.uk/fileadmin/UCL-CS/research/Research_Notes/RN_11_01.pdf) Other Models 2021-05-21 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
354 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
355 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
356 Machine Learning in Asset Management—Part 1: Portfolio Construction—Trading Strategies https://jfds.pm-research.com/content/2/1/10 Personal Papers
357 Financial Event Prediction using Machine Learning https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3481555 Personal Papers
358 Machine Learning in Asset Management https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3420952 Personal Papers
359 Machine Learning in Asset Management—Part 2: Portfolio Construction—Weight Optimization https://jfds.pm-research.com/content/2/2/17 Personal Papers
360 Efficient Frontier Deep Portfolio Theory https://github.com/tthustla/efficient_frontier/blob/master/Efficient%20_Frontier_implementation.ipynb https://github.com/tcloaa/Deep-Portfolio-Theory Modern Portfolio Theory. Autoencoder framework for portfolio selection. Portfolio Selection and Optimisation 2021-04-26 06:26:42 2021-04-06 11:47:13 107.0 105.0 59.0 57.0 1.0 2018-02-17 08:19:46 2017-02-10 09:03:08 2018-02-27 13:16:57 2018-03-08 16:47:00 tthustla/efficient_frontier tcloaa/Deep-Portfolio-Theory inactive
361 riskparity.py 401K Portfolio Optimisation https://github.com/dppalomar/riskparity.py https://github.com/otosman/Python-for-Finance/blob/master/Portfolio%20Optimization%20401k.ipynb NEW Portfolio analyses and optimisation for 401K. Portfolio Selection and Optimisation 2021-05-21 17:17:54 2020-12-25 09:39:33 138.0 14.0 33.0 5.0 2.0 1.0 2019-07-13 21:30:55 2018-08-01 19:48:24 2021-04-16 02:33:54 2019-09-05 11:18:56 dppalomar/riskparity.py otosman/Python-for-Finance active 37:19.5
362 node-finance DeepDow https://github.com/albertosantini/node-finance https://github.com/jankrepl/deepdow NEW Portfolio optimization with deep learning. Portfolio Selection and Optimisation 2021-05-21 14:23:55 2021-05-22 19:25:30 104.0 327.0 26.0 60.0 3.0 2.0 2011-09-17 17:49:56 2020-02-02 08:46:33 2021-04-05 08:01:12 2021-02-16 18:50:53 albertosantini/node-finance jankrepl/deepdow active 37:19.5
363 Online Portfolio Selection PyPortfolioOpt https://nbviewer.jupyter.org/github/paulperry/quant/blob/master/OLPS_Comparison.ipynb https://github.com/robertmartin8/PyPortfolioOpt ****Comparing OLPS algorithms on a diversified set of ETFs. 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
364 Distribution Characteristic Optimisation Policy Gradient Portfolio https://github.com/VivekPa/OptimalPortfolio https://github.com/ZhengyaoJiang/PGPortfolio Extends classical portfolio optimisation to take the skewness and kurtosis of the distribution of market invariants into account. A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem. Portfolio Selection and Optimisation 2021-05-18 07:39:05 2021-05-20 04:03:07 242.0 1304.0 83.0 635.0 3.0 6.0 2018-11-16 12:20:25 2017-11-12 16:08:44 2019-07-04 01:41:46 2019-05-09 09:50:18 VivekPa/OptimalPortfolio ZhengyaoJiang/PGPortfolio active inactive
365 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
366 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
367 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
368 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
369 Reinforcement Learning Efficient Frontier https://github.com/filangel/qtrader https://github.com/tthustla/efficient_frontier/blob/master/Efficient%20_Frontier_implementation.ipynb Reinforcement Learning for Portfolio Management. Modern Portfolio Theory. Portfolio Selection and Optimisation 2021-05-15 03:10:51 2021-04-26 06:26:42 366.0 107.0 149.0 59.0 1.0 2017-10-07 09:14:33 2018-02-17 08:19:46 2018-06-26 09:22:27 2018-02-27 13:16:57 filangelos/qtrader tthustla/efficient_frontier inactive
370 Deep Portfolio Theory node-finance https://github.com/tcloaa/Deep-Portfolio-Theory https://github.com/albertosantini/node-finance Autoencoder framework for portfolio selection. NEW Portfolio Selection and Optimisation 2021-04-06 11:47:13 2021-05-21 14:23:55 105.0 104.0 57.0 26.0 1.0 3.0 2017-02-10 09:03:08 2011-09-17 17:49:56 2018-03-08 16:47:00 2021-04-05 08:01:12 tcloaa/Deep-Portfolio-Theory albertosantini/node-finance inactive active 37:19.5
371 Policy Gradient Portfolio Online Portfolio Selection https://github.com/ZhengyaoJiang/PGPortfolio https://nbviewer.jupyter.org/github/paulperry/quant/blob/master/OLPS_Comparison.ipynb A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem. ****Comparing OLPS algorithms on a diversified set of ETFs. 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
372 PyPortfolioOpt riskparity.py https://github.com/robertmartin8/PyPortfolioOpt https://github.com/dppalomar/riskparity.py Financial portfolio optimisation, including classical efficient frontier and advanced methods. NEW Portfolio Selection and Optimisation 2021-05-22 12:19:44 2021-05-21 17:17:54 2007.0 138.0 501.0 33.0 17.0 2.0 2018-05-29 13:30:30 2019-07-13 21:30:55 2021-05-18 07:06:38 2021-04-16 02:33:54 robertmartin8/PyPortfolioOpt dppalomar/riskparity.py active 37:19.5
373 DeepDow Distribution Characteristic Optimisation https://github.com/jankrepl/deepdow https://github.com/VivekPa/OptimalPortfolio Portfolio optimization with deep learning. Extends classical portfolio optimisation to take the skewness and kurtosis of the distribution of market invariants into account. Portfolio Selection and Optimisation 2021-05-22 19:25:30 2021-05-18 07:39:05 327.0 242.0 60.0 83.0 2.0 3.0 2020-02-02 08:46:33 2018-11-16 12:20:25 2021-02-16 18:50:53 2019-07-04 01:41:46 jankrepl/deepdow VivekPa/OptimalPortfolio active
374 Modern Portfolio Theory NLP Event https://nbviewer.jupyter.org/github/Marigold/universal-portfolios/blob/master/modern-portfolio-theory.ipynb https://github.com/yuriak/DLQuant Universal portfolios; modern portfolio theory. Applying Deep Learning and NLP in Quantitative Trading. Portfolio Selection and Optimisation 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
375 401K Portfolio Optimisation BDCI2019-Negative_Finance_Info_Judge https://github.com/otosman/Python-for-Finance/blob/master/Portfolio%20Optimization%20401k.ipynb https://github.com/A-Rain/BDCI2019-Negative_Finance_Info_Judge Portfolio analyses and optimisation for 401K. NEW Portfolio Selection and Optimisation Textual 2020-12-25 09:39:33 2021-05-06 12:59:42 14.0 108.0 5.0 24.0 1.0 3.0 2018-08-01 19:48:24 2019-12-27 03:49:31 2019-09-05 11:18:56 2020-12-04 03:38:57 otosman/Python-for-Finance A-Rain/BDCI2019-Negative_Finance_Info_Judge active 24:28.5
376 Financial Sentiment Analysis NLP https://github.com/EricHe98/Financial-Statements-Text-Analysis https://github.com/toamitesh/NLPinFinance Sentiment, distance and proportion analysis for trading signals. This project assembles a lot of NLP operations needed for finance domain. 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 toamitesh/NLPinFinance inactive
377 news-emotion Earning call transcripts https://github.com/dongyuanxin/news-emotion https://github.com/lin882/WebAnalyticsProject NEW Correlation between mutual fund investment decision and earning call transcripts. Textual 2021-05-18 08:49:23 2020-12-17 08:24:20 251.0 3.0 119.0 3.0 1.0 2017-09-14 02:59:03 2017-12-30 08:56:03 2018-06-11 13:47:51 2018-01-11 02:11:11 dongyuanxin/news-emotion lin882/WebAnalyticsProject inactive 24:28.5
378 FinBERT financial-news-dataset https://github.com/psnonis/FinBERT https://github.com/philipperemy/financial-news-dataset NEW Textual 2021-05-02 15:10:28 2021-05-09 16:58:04 143.0 154.0 47.0 76.0 3.0 1.0 2019-07-09 16:34:27 2016-08-23 13:29:07 2020-05-19 02:02:20 2021-03-04 06:34:24 psnonis/FinBERT philipperemy/financial-news-dataset active 24:28.5
379 Accounting Anomalies Buzzwords https://github.com/GitiHubi/deepAI/blob/master/GTC_2018_Lab-solutions.ipynb https://github.com/swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds Using deep-learning frameworks to identify accounting anomalies. Return performance and mutual fund selection. Textual 2021-05-20 10:18:09 2020-10-06 18:54:58 115.0 1.0 51.0 4.0 2.0 1.0 2017-05-24 12:36:38 2018-02-04 21:51:16 2019-08-07 21:47:08 2018-02-04 21:57:09 GitiHubi/deepAI swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds active inactive
380 awesome-financial-nlp FinNLP-Progress https://github.com/icoxfog417/awesome-financial-nlp https://github.com/YangLinyi/FinNLP-Progress NEW Textual 2021-05-15 16:35:45 2021-05-19 11:39:41 235.0 168.0 38.0 21.0 2.0 5.0 2019-10-03 03:53:20 2020-05-21 09:59:56 2020-02-01 08:28:16 2021-03-23 08:14:07 icoxfog417/awesome-financial-nlp YangLinyi/FinNLP-Progress active 24:28.5
381 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
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 Buzzwords Financial Sentiment Analysis https://github.com/swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds https://github.com/EricHe98/Financial-Statements-Text-Analysis Return performance and mutual fund selection. Sentiment, distance and proportion analysis for trading signals. Textual 2020-10-06 18:54:58 2021-04-30 10:07:46 1.0 50.0 4.0 27.0 1.0 2018-02-04 21:51:16 2017-06-23 00:05:49 2018-02-04 21:57:09 2019-01-26 03:35:55 swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds EricHe98/Financial-Statements-Text-Analysis inactive
384 financial-news-dataset news-emotion https://github.com/philipperemy/financial-news-dataset https://github.com/dongyuanxin/news-emotion NEW Textual 2021-05-09 16:58:04 2021-05-18 08:49:23 154.0 251.0 76.0 119.0 1.0 2016-08-23 13:29:07 2017-09-14 02:59:03 2021-03-04 06:34:24 2018-06-11 13:47:51 philipperemy/financial-news-dataset dongyuanxin/news-emotion 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
385 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
386 NLP Accounting Anomalies https://github.com/toamitesh/NLPinFinance https://github.com/GitiHubi/deepAI/blob/master/GTC_2018_Lab-solutions.ipynb This project assembles a lot of NLP operations needed for finance domain. 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 toamitesh/NLPinFinance GitiHubi/deepAI active
387 FinNLP-Progress awesome-financial-nlp https://github.com/YangLinyi/FinNLP-Progress https://github.com/icoxfog417/awesome-financial-nlp NEW Textual 2021-05-19 11:39:41 2021-05-15 16:35:45 168.0 235.0 21.0 38.0 5.0 2.0 2020-05-21 09:59:56 2019-10-03 03:53:20 2021-03-23 08:14:07 2020-02-01 08:28:16 YangLinyi/FinNLP-Progress icoxfog417/awesome-financial-nlp active 24:28.5
388 BDCI2019-Negative_Finance_Info_Judge FinBERT https://github.com/A-Rain/BDCI2019-Negative_Finance_Info_Judge https://github.com/psnonis/FinBERT NEW Textual 2021-05-06 12:59:42 2021-05-02 15:10:28 108.0 143.0 24.0 47.0 3.0 2019-12-27 03:49:31 2019-07-09 16:34:27 2020-12-04 03:38:57 2020-05-19 02:02:20 A-Rain/BDCI2019-Negative_Finance_Info_Judge psnonis/FinBERT active 24:28.5
389 NLP Event PCA Pairs Trading https://github.com/yuriak/DLQuant https://github.com/joelQF/quant-finance/tree/master/Artificial_IntelIigence_for_Trading Applying Deep Learning and NLP in Quantitative Trading. PCA, Factor Returns, and trading strategies. Textual Unsupervised 2021-04-01 02:16:38 70.0 32.0 1.0 2018-07-02 23:50:52 2019-01-31 14:08:20 yuriak/DLQuant joelQF/quant-finance inactive
390 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
391 AnomalyDetectionOnRisk https://github.com/SimonWesterlindVPD/AnomalyDetectionOnRisk NEW Unsupervised 2021-05-19 11:40:07 12.0 5.0 1.0 2018-05-31 15:53:02 2018-05-31 16:18:28 SimonWesterlindVPD/AnomalyDetectionOnRisk inactive 24:29.9
Fund Clusters https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb Data exploration of fund clusters. Unsupervised 2021-03-31 02:12:50 4.0 3.0 1.0 2018-04-16 22:18:55 2018-06-07 22:01:32 frechfrechfrech/Mutual-Fund-Market-Clusters inactive
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 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
394 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
397 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
398 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
399 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
400 PCA Pairs Trading Fund Clusters https://github.com/joelQF/quant-finance/tree/master/Artificial_IntelIigence_for_Trading https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb PCA, Factor Returns, and trading strategies. 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 joelQF/quant-finance frechfrechfrech/Mutual-Fund-Market-Clusters inactive