financial-machine-learning/raw_data/url_list.csv

name,url,comment,category,last_update,star_count,fork_count,contributors_count,created_at,last_commit,repo_path,repo_status,rating,finml_added_date
Venture Capital NN,https://github.com/tr7200/National-Culture-and-Venture-Capital-Monitoring,Cox-PH neural network predictions for VC/innovations finance research.,Alternative Finance,,,,,,,tr7200/National-Culture-and-Venture-Capital-Monitoring,,,
botupdate,https://github.com/botupdate/botupdate,NEW,Alternative Finance,2021-07-31 23:16:04,582.0,210.0,5.0,2019-07-01 20:22:44,2020-10-29 02:31:17,botupdate/botupdate,active,,2021-04-19 01:24:52.219323
yahoofinancials,https://github.com/JECSand/yahoofinancials,NEW,Alternative Finance,2022-05-14 14:17:23,655.0,169.0,1.0,2017-10-22 03:10:57,2020-10-18 23:43:29,JECSand/yahoofinancials,active,,2021-04-19 01:24:52.219323
EDMarketConnector,https://github.com/EDCD/EDMarketConnector,NEW,Alternative Finance,2022-05-14 12:49:53,845.0,139.0,23.0,2015-06-02 19:17:34,2022-03-22 07:28:20,EDCD/EDMarketConnector,active,,2021-04-19 01:24:52.219323
Kiva Crowdfunding,https://github.com/CJL89/Kiva-Crowdfunding/blob/master/Kiva%20Crowdfunding.ipynb,Exploratory data analysis.,Alternative Finance,2021-11-16 15:49:09,5.0,2.0,1.0,2018-02-27 16:46:02,2019-02-13 00:15:27,CJL89/Kiva-Crowdfunding,inactive,,
Venture Capital,https://github.com/julian-chan/etothex,Insight into a new founder to make data-driven investment decisions.,Alternative Finance,2022-01-11 15:48:00,4.0,3.0,1.0,2017-12-04 08:59:44,2017-12-13 05:35:27,julian-chan/etothex,inactive,,
pitch_deck,https://github.com/joelparkerhenderson/pitch_deck,NEW,Alternative Finance,2022-05-02 11:12:47,189.0,54.0,2.0,2016-09-17 01:30:26,2021-12-10 23:53:23,joelparkerhenderson/pitch-deck,active,,2021-04-19 01:24:52.219323
Art Valuation,https://github.com/ahmedhosny/theGreenCanvas/blob/gh-pages/ImageProcessing1210.ipynb,Art evaluation analytics.,Alternative Finance,2021-10-12 21:00:21,11.0,6.0,1.0,2014-12-11 00:25:39,2014-12-12 21:25:46,ahmedhosny/theGreenCanvas,inactive,,
Watch Valuation,https://github.com/alporter08/Luxury-Watch-Valuation/blob/master/Luxury-Watch-Valuation.ipynb,Analysis of luxury watch data to classify whether a certain model is likely to be over-or undervalued.,Alternative Finance,2021-12-03 20:47:53,7.0,3.0,1.0,2017-02-08 18:39:29,2017-04-27 22:55:55,alporter08/Luxury-Watch-Valuation,inactive,,
VC OLS,https://github.com/fionawhitefield/venture-capital-ols/blob/master/sec_project.ipynb,VC regression.,Alternative Finance,2021-10-12 21:00:27,3.0,3.0,1.0,2018-03-29 23:31:13,2018-03-29 23:33:19,fionawhitefield/venture-capital-ols,inactive,,
Blockchain,https://github.com/nud3l/dInvest,Repository for distributed autonomous investment banking.,Alternative Finance,2021-10-12 20:55:32,13.0,10.0,2.0,2016-09-05 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,2022-02-22 12:29:35,15.0,7.0,2.0,2016-01-27 21:13:33,2016-03-14 20:03:52,TheVinhLuong102/ChicagoBooth-EntrepreneurialFinancePrivateEquity,inactive,,
pitch-deck,https://github.com/joelparkerhenderson/pitch-deck,NEW,Alternative Finance,2022-05-02 11:12:47,189.0,54.0,2.0,2016-09-17 01:30:26,2021-12-10 23:53:23,joelparkerhenderson/pitch-deck,active,,2021-05-24 02:12:13.615391
Oxford Man,https://www.oxford-man.ox.ac.uk/,Oxford-Man Institute of Quantitative Finance,Colleges Centers and Departments,,,,,,,,,,
Berkeley Lab CIFT,https://cs.lbl.gov/news-media/news/news-archive/2010/berkeley-lab-launches-new-center-for-innovative-financial-technology/,,Colleges Centers and Departments,,,,,,,,,,
NYU Courant,https://cims.nyu.edu/,"Courant Institute of Mathematical Sciences, New York University",Colleges Centers and Departments,,,,,,,,,,
Cornell University,https://www.cornell.edu/,,Colleges Centers and Departments,,,,,,,,,,
Stanford Advanced Financial Technologies,https://fintech.stanford.edu/,Stanford Advanced Financial Technologies Laboratory,Colleges Centers and Departments,,,,,,,,,,
NYU FRE,https://engineering.nyu.edu/academics/departments/finance-and-risk-engineering,Finance and Risk Engineering (NYU Tandon),Colleges Centers and Departments,,,,,,,,,,
ciml,https://github.com/hal3/ciml,NEW,Courses,2022-05-14 10:09:03,820.0,229.0,2.0,2015-08-12 19:26:00,2017-01-20 16:24:19,hal3/ciml,inactive,,2021-04-19 01:25:20.750834
Octave,https://github.com/schneems/Octave,NEW,Courses,2022-05-11 13:38:47,808.0,519.0,1.0,2011-10-24 23:50:52,2016-07-08 20:45:40,schneems/Octave,inactive,,2021-04-19 01:25:20.750834
Artificial-Intelligence-and-Machine-Learning,https://github.com/emilmont/Artificial-Intelligence-and-Machine-Learning,NEW,Courses,2022-05-04 20:34:58,527.0,312.0,1.0,2011-10-16 22:51:06,2013-07-20 18:21:51,emilmont/Artificial-Intelligence-and-Machine-Learning,inactive,,2021-04-19 01:25:20.750834
Data-Science-Free,https://github.com/frontbenchHQ/Data-Science-Free,NEW,Courses,2022-05-04 21:03:21,250.0,169.0,4.0,2019-02-10 14:29:29,2020-07-13 06:36:25,frontbenchHQ/Data-Science-Free,active,,2021-04-19 01:25:20.750834
DataScience,https://github.com/JuliaAcademy/DataScience,NEW,Courses,2022-05-12 21:41:27,388.0,204.0,6.0,2020-05-21 01:26:52,2021-07-17 12:21:04,JuliaAcademy/DataScience,active,,2021-04-19 01:25:20.750834
mlbookcamp-code,https://github.com/alexeygrigorev/mlbookcamp-code,NEW,Courses,2022-05-14 20:22:45,1974.0,534.0,29.0,2020-04-17 04:29:23,2022-05-13 06:15:19,alexeygrigorev/mlbookcamp-code,active,,2021-11-08 01:46:47.035690
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,,
PythonNumericalDemos,https://github.com/GeostatsGuy/PythonNumericalDemos,NEW,Courses,2022-05-05 00:22:55,404.0,283.0,1.0,2017-10-13 15:44:06,2022-04-29 18:31:36,GeostatsGuy/PythonNumericalDemos,active,,2021-04-19 01:25:20.750834
Developing_Data_Products,https://github.com/DataScienceSpecialization/Developing_Data_Products,NEW,Courses,2022-05-03 20:14:56,218.0,1349.0,1.0,2016-08-25 19:47:39,2017-07-31 15:11:59,DataScienceSpecialization/Developing_Data_Products,inactive,,2021-05-24 02:12:43.928732
Risk Management,https://github.com/andrey-lukyanov/Risk-Management,Finance risk engagement course resources.,Courses,2021-11-14 17:37:24,10.0,6.0,3.0,2018-10-03 16:26:14,2018-12-13 08:04:15,andrey-lukyanov/Risk-Management,inactive,,
datascience-box,https://github.com/rstudio-education/datascience-box,NEW,Courses,2022-05-12 21:48:51,757.0,323.0,17.0,2017-12-29 22:16:17,2022-04-07 00:29:46,rstudio-education/datascience-box,active,,2021-04-19 01:25:20.750834
Python for Finance,https://github.com/siaen/python_finance_course,CEU python for finance course material.,Courses,2021-11-14 17:37:24,19.0,16.0,4.0,2017-12-12 11:54:46,2020-02-25 20:31:41,siaen/python_finance_course,inactive,,
python-seminar,https://github.com/profjsb/python-seminar,NEW,Courses,2022-05-08 18:02:04,310.0,151.0,12.0,2012-08-23 03:30:01,2022-04-25 22:56:48,profjsb/python-seminar,active,,2021-04-19 01:25:20.750834
Basic Investments,https://github.com/SeanMcOwen/FinanceAndPython.com-Investments,Basic investment tools in python.,Courses,2022-05-12 02:27:30,15.0,8.0,1.0,2017-08-02 21:52:19,2017-08-17 03:24:53,SeanMcOwen/FinanceAndPython.com-Investments,inactive,,
stanford-cs229,https://github.com/zyxue/stanford-cs229,NEW,Courses,2022-04-13 12:43:25,0.0,0.0,2.0,2017-10-31 23:01:08,2021-08-04 03:03:28,zyxue/stanford-cs229,active,,2021-04-19 01:25:20.750834
stanford-CS229,https://github.com/ccombier/stanford-CS229,NEW,Courses,2022-05-14 10:54:20,250.0,143.0,1.0,2018-07-30 20:19:32,2018-09-10 19:03:06,ccombier/stanford-CS229,inactive,,2021-11-08 01:46:47.035690
Introduction-to-Machine-Learning,https://github.com/codeheroku/Introduction-to-Machine-Learning,NEW,Courses,2022-05-14 19:33:47,355.0,886.0,3.0,2019-02-09 12:07:52,2020-11-28 08:44:08,codeheroku/Introduction-to-Machine-Learning,active,,2021-04-19 01:25:20.750834
causalML,https://github.com/altdeep/causalML,NEW,Courses,2022-05-14 10:10:21,502.0,147.0,37.0,2018-12-17 05:22:47,2022-04-29 17:12:07,altdeep/causalML,active,,2021-04-19 01:25:20.750834
datasciencecoursera,https://github.com/mGalarnyk/datasciencecoursera,NEW,Courses,2022-05-14 16:48:40,2037.0,1986.0,8.0,2016-12-27 03:59:24,2021-02-19 04:16:58,mGalarnyk/datasciencecoursera,active,,2021-04-19 01:25:20.750834
stanford-cs231,https://github.com/machinelearningnanodegree/stanford-cs231,NEW,Courses,2022-02-08 07:55:05,252.0,123.0,4.0,2016-09-05 01:40:41,2017-02-03 16:46:46,machinelearningnanodegree/stanford-cs231,inactive,,2021-04-19 01:25:20.750834
Coursera-Stanford-ML-Python,https://github.com/mstampfer/Coursera-Stanford-ML-Python,NEW,Courses,2022-05-13 05:26:40,431.0,239.0,3.0,2015-10-28 19:51:00,2016-09-02 00:21:30,mstampfer/Coursera-Stanford-ML-Python,inactive,,2021-04-19 01:25:20.750834
course-resources-ml-with-experts-budgets,https://github.com/datacamp/course-resources-ml-with-experts-budgets,NEW,Courses,2022-05-12 17:34:41,544.0,642.0,2.0,2017-03-02 13:10:27,2017-12-14 20:46:54,datacamp/course-resources-ml-with-experts-budgets,inactive,,2021-04-19 01:25:20.750834
tensorflow-without-a-phd,https://github.com/GoogleCloudPlatform/tensorflow-without-a-phd,NEW,Courses,2022-05-12 20:58:13,2526.0,872.0,11.0,2018-05-09 18:33:40,2020-06-03 21:08:32,GoogleCloudPlatform/tensorflow-without-a-phd,active,,2021-04-19 01:25:20.750834
MachineLearningWithPython,https://github.com/JerryKurata/MachineLearningWithPython,NEW,Courses,2022-02-20 05:19:23,242.0,369.0,1.0,2016-04-24 21:20:10,2021-04-15 18:17:30,JerryKurata/MachineLearningWithPython,active,,2021-04-19 01:25:20.750834
home,https://github.com/gege-circle/home,NEW,Courses,2022-05-14 17:08:01,268.0,83.0,1.0,2020-09-20 04:47:25,2022-04-23 07:53:03,gege-circle/home,active,,2022-03-28 02:25:39.688484
ML_course,https://github.com/epfml/ML_course,NEW,Courses,2022-05-08 10:59:37,803.0,628.0,11.0,2016-07-13 15:37:38,2022-02-04 20:47:11,epfml/ML_course,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,2022-04-26 13:07:14,389.0,327.0,1.0,2016-08-20 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
ML-YouTube-Courses,https://github.com/dair-ai/ML-YouTube-Courses,NEW,Courses,2022-05-15 01:38:38,6323.0,750.0,7.0,2021-06-25 09:39:16,2022-04-20 20:24:28,dair-ai/ML-YouTube-Courses,active,,2021-06-28 01:48:33.633779
machine-learning-course,https://github.com/instillai/machine-learning-course,NEW,Courses,2022-05-14 08:29:16,6847.0,1264.0,8.0,2019-02-15 00:23:19,2020-04-21 03:19:12,instillai/machine-learning-course,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,2022-05-14 20:26:34,5699.0,2255.0,13.0,2018-05-09 12:33:08,2022-04-29 16:02:03,stefan-jansen/machine-learning-for-trading,active,,
Stanford-Machine-Learning-Course,https://github.com/zhouxc/Stanford-Machine-Learning-Course,NEW,Courses,2022-05-08 17:21:57,523.0,364.0,1.0,2011-12-25 10:00:48,2011-12-25 10:01:12,zhouxc/Stanford-Machine-Learning-Course,inactive,,2021-04-19 01:25:20.750834
DataCamp,https://github.com/wblakecannon/DataCamp,NEW,Courses,2021-05-15 10:12:20,1167.0,1369.0,28.0,2017-09-18 20:51:08,2020-10-01 20:13:05,wblakecannon/DataCamp,active,,2021-04-19 01:25:20.750834
Mathematical Finance,https://github.com/yadongli/nyumath2048,NYU Math-GA 2048: Scientific Computing in Finance.,Courses,2022-01-30 09:20:56,75.0,71.0,6.0,2015-01-25 21:10:37,2020-03-25 04:24:25,yadongli/nyumath2048,inactive,,
2014,https://github.com/cs109/2014,NEW,Courses,2022-03-05 15:58:07,312.0,756.0,4.0,2014-07-21 22:46:20,2014-12-17 14:37:02,cs109/2014,inactive,,2021-04-19 01:25:20.750834
awesome-ml-courses,https://github.com/luspr/awesome-ml-courses,NEW,Courses,2022-05-09 14:37:55,2215.0,247.0,4.0,2020-05-08 20:41:59,2022-01-29 14:37:38,luspr/awesome-ml-courses,active,,2021-04-19 01:25:20.750834
machine-learning-coursera,https://github.com/yhyap/machine-learning-coursera,NEW,Courses,2022-04-24 07:10:26,229.0,193.0,1.0,2013-05-03 09:41:53,2013-05-05 11:58:38,yhyap/machine-learning-coursera,inactive,,2021-04-19 01:25:20.750834
ppd599,https://github.com/gboeing/ppd599,NEW,Courses,2022-05-11 15:49:31,1140.0,468.0,1.0,2015-09-01 19:59:59,2021-10-18 20:53:22,gboeing/ppd599,active,,2021-04-19 01:25:20.750834
machine-learning-online-2018,https://github.com/coding-blocks-archives/machine-learning-online-2018,NEW,Courses,2022-05-07 13:31:48,303.0,610.0,3.0,2018-07-18 04:24:58,2020-07-02 09:24:40,coding-blocks-archives/machine-learning-online-2018,active,,2021-04-19 01:25:20.750834
dive-into-machine-learning,https://github.com/hangtwenty/dive-into-machine-learning,NEW,Courses,2022-05-14 21:56:06,10980.0,1980.0,31.0,2015-02-22 23:48:16,2022-03-27 00:01:25,hangtwenty/dive-into-machine-learning,active,,2021-04-19 01:25:20.750834
stat479-machine-learning-fs18,https://github.com/rasbt/stat479-machine-learning-fs18,NEW,Courses,2022-05-07 04:37:22,444.0,215.0,1.0,2018-09-06 00:30:56,2018-12-20 23:45:13,rasbt/stat479-machine-learning-fs18,inactive,,2021-04-19 01:25:20.750834
datasci_course_materials,https://github.com/uwescience/datasci_course_materials,NEW,Courses,2022-04-27 04:56:29,910.0,2427.0,6.0,2013-04-12 05:54:36,2017-03-21 19:21:02,uwescience/datasci_course_materials,inactive,,2021-04-19 01:25:20.750834
Udemy---Machine-Learning,https://github.com/jmportilla/Udemy---Machine-Learning,NEW,Courses,2022-05-08 14:47:38,222.0,422.0,3.0,2015-04-27 22:44:40,2016-07-06 23:58:33,jmportilla/Udemy---Machine-Learning,inactive,,2021-04-19 01:25:20.750834
ml-mipt,https://github.com/girafe-ai/ml-mipt,NEW,Courses,2022-05-11 17:20:24,776.0,588.0,4.0,2019-02-01 16:20:39,2021-11-22 16:23:09,girafe-ai/ml-mipt,active,,2021-04-19 01:25:20.750834
machine-learning-coursera-1,https://github.com/Borye/machine-learning-coursera-1,NEW,Courses,2022-05-13 12:16:33,1134.0,935.0,1.0,2014-08-28 10:48:18,2014-06-17 10:37:27,Borye/machine-learning-coursera-1,inactive,,2021-04-19 01:25:20.750834
mlcourse,https://github.com/davidrosenberg/mlcourse,NEW,Courses,2022-05-01 12:03:41,470.0,242.0,9.0,2015-10-11 22:18:25,2021-11-03 13:10:02,davidrosenberg/mlcourse,active,,2021-04-19 01:25:20.750834
DAT3,https://github.com/justmarkham/DAT3,NEW,Courses,2022-05-11 18:50:30,635.0,381.0,4.0,2014-09-18 20:30:19,2020-05-19 09:21:02,justmarkham/DAT3,active,,2021-04-19 01:25:20.750834
DP100,https://github.com/MicrosoftLearning/DP100,NEW,Courses,2022-05-10 13:47:17,550.0,590.0,2.0,2020-01-06 20:38:41,2020-12-30 17:22:42,MicrosoftLearning/DP100,active,,2021-04-19 01:25:20.750834
master,https://github.com/ML-course/master,NEW,Courses,2022-05-09 17:09:41,453.0,239.0,12.0,2017-02-04 22:44:35,2022-04-05 17:40:44,ML-course/master,active,,2021-04-19 01:25:20.750834
machine-learning-notebooks,https://github.com/krasserm/machine-learning-notebooks,NEW,Courses,2022-05-07 13:37:51,316.0,135.0,1.0,2017-07-24 10:21:05,2020-09-07 12:48:43,krasserm/machine-learning-notebooks,active,,2021-04-19 01:25:20.750834
deploying-machine-learning-models,https://github.com/trainindata/deploying-machine-learning-models,NEW,Courses,2022-05-14 11:19:03,465.0,4370.0,2.0,2019-01-09 20:30:46,2022-02-20 21:55:50,trainindata/deploying-machine-learning-models,active,,2021-04-19 01:25:20.750834
competitive-data-science,https://github.com/hse-aml/competitive-data-science,NEW,Courses,2022-05-09 19:02:12,601.0,629.0,9.0,2017-10-28 14:56:44,2020-06-13 13:44:26,hse-aml/competitive-data-science,active,,2021-04-19 01:25:20.750834
ml-workspace,https://github.com/AdicherlaVenkataSai/ml-workspace,NEW,Courses,2022-05-08 15:02:49,309.0,98.0,1.0,2020-07-10 06:38:10,2021-09-03 07:21:14,AdicherlaVenkataSai/ml-workspace,active,,2021-04-19 01:25:20.750834
cornell-cs5785-applied-ml,https://github.com/kuleshov/cornell-cs5785-applied-ml,NEW,Courses,2022-05-04 07:16:53,294.0,105.0,1.0,2021-03-26 06:33:58,2021-09-02 00:34:55,kuleshov/cornell-cs5785-2020-applied-ml,active,,2021-07-05 01:46:13.555262
zero-to-mastery-ml,https://github.com/mrdbourke/zero-to-mastery-ml,NEW,Courses,2022-05-13 15:05:38,1217.0,2021.0,18.0,2019-09-23 04:56:51,2022-03-20 23:38:36,mrdbourke/zero-to-mastery-ml,active,,2021-04-19 01:25:20.750834
mlcourse.ai,https://github.com/Yorko/mlcourse.ai,NEW,Courses,2022-05-14 22:41:37,8200.0,5429.0,3.0,2017-02-27 08:32:20,2022-04-01 13:03:01,Yorko/mlcourse.ai,active,,2021-04-19 01:25:20.750834
Machine-Learning-by-Andrew-Ng-in-Python,https://github.com/Benlau93/Machine-Learning-by-Andrew-Ng-in-Python,NEW,Courses,2022-04-28 13:54:42,281.0,225.0,1.0,2018-12-06 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-resources,https://github.com/datascienceid/machine-learning-resources,NEW,Courses,2022-05-09 01:38:20,281.0,105.0,4.0,2018-04-09 15:10:08,2019-07-30 14:25:27,datascienceid/machine-learning-resources,inactive,,2021-04-19 01:25:20.750834
MTH594_MachineLearning,https://github.com/diefimov/MTH594_MachineLearning,NEW,Courses,2022-05-03 09:40:18,353.0,136.0,1.0,2016-03-09 07:35:19,2017-03-31 21:46:26,diefimov/MTH594_MachineLearning,inactive,,2021-04-19 01:25:20.750834
ML-Course-Notes,https://github.com/dair-ai/ML-Course-Notes,NEW,Courses,2022-05-15 01:35:27,2489.0,336.0,2.0,2022-03-17 11:18:50,2022-05-08 14:54:07,dair-ai/ML-Course-Notes,active,,2022-03-21 02:19:19.984034
AdvancedML,https://github.com/sjhwang82/AdvancedML,NEW,Courses,2022-04-15 04:45:21,248.0,47.0,1.0,2019-02-22 09:15:04,2021-12-07 03:51:58,sjhwang82/AdvancedML,active,,2021-11-08 01:46:47.035690
china-dictatorship,https://github.com/cirosantilli/china-dictatorship,NEW,Courses,2022-05-14 01:27:37,841.0,165.0,4.0,2015-04-02 20:51:50,2022-05-06 13:54:01,cirosantilli/china-dictatorship,active,,2021-04-19 01:25:20.750834
DataScienceCourse,https://github.com/briandalessandro/DataScienceCourse,NEW,Courses,2022-05-09 17:10:07,690.0,780.0,13.0,2014-10-01 08:45:51,2020-12-20 13:03:56,briandalessandro/DataScienceCourse,active,,2021-04-19 01:25:20.750834
ML Specialisation,https://github.com/Ahmed0028/Machine-Learning-and-Reinforcement-Learning-in-Finance-Specialization,Machine Learning in Finance.,Courses,2022-04-22 05:53:55,46.0,43.0,1.0,2019-01-24 02:55:01,2020-01-03 21:54:16,Ahmed0028/Machine-Learning-and-Reinforcement-Learning-in-Finance-Specialization,inactive,,
DAT4,https://github.com/justmarkham/DAT4,NEW,Courses,2022-04-29 02:21:06,770.0,667.0,3.0,2014-12-10 19:38:29,2021-02-15 23:26:27,justmarkham/DAT4,active,,2021-04-19 01:25:20.750834
Algo Trading,https://github.com/JCreeks/Machine-Learning-in-Finance/tree/master/0_Intro_to_Algo_Trading,Intro to algo trading.,Courses,2022-02-22 12:27:46,67.0,27.0,1.0,2017-10-29 20:34:54,2019-01-22 06:56:08,JCreeks/Machine-Learning-in-Finance,inactive,,
courses,https://github.com/DataScienceSpecialization/courses,NEW,Courses,2022-05-14 14:41:02,3885.0,31465.0,13.0,2014-01-21 10:22:57,2016-03-16 12:13:44,DataScienceSpecialization/courses,inactive,,2021-04-19 01:25:20.750834
DAT8,https://github.com/justmarkham/DAT8,NEW,Courses,2022-05-13 03:43:32,1533.0,1027.0,1.0,2015-08-07 03:35:51,2016-04-18 18:34:09,justmarkham/DAT8,inactive,,2021-04-19 01:25:20.750834
Intro,https://github.com/rstudio/Intro,NEW,Courses,2022-03-28 11:55:11,233.0,326.0,1.0,2014-11-11 20:45:33,2014-11-12 13:42:32,rstudio/Intro,inactive,,2021-04-19 01:25:20.750834
Basic Finance,https://github.com/SeanMcOwen/FinanceAndPython.com-BasicFinance,Source code notebooks basic finance applications.,Courses,2021-11-14 17:37:24,13.0,10.0,1.0,2017-05-06 02:39:05,2017-06-21 04:04:09,SeanMcOwen/FinanceAndPython.com-BasicFinance,inactive,,
DataScienceSpCourseNotes,https://github.com/sux13/DataScienceSpCourseNotes,NEW,Courses,2022-05-06 02:24:26,727.0,2414.0,10.0,2015-03-09 00:51:32,2016-02-16 06:12:54,sux13/DataScienceSpCourseNotes,inactive,,2021-04-19 01:25:20.750834
coursera-deep-learning-specialization,https://github.com/amanchadha/coursera-deep-learning-specialization,NEW,Courses,2022-05-13 20:35:54,1122.0,1084.0,5.0,2020-06-24 05:59:01,2022-02-07 07:38:03,amanchadha/coursera-deep-learning-specialization,active,,2021-04-19 01:25:20.750834
JSE_OkCupid,https://github.com/rudeboybert/JSE_OkCupid,NEW,Courses,2022-05-10 22:25:49,220.0,64.0,1.0,2015-03-28 08:38:27,2021-04-26 18:35:26,rudeboybert/JSE_OkCupid,active,,2021-04-19 01:25:20.750834
stat479-machine-learning-fs19,https://github.com/rasbt/stat479-machine-learning-fs19,NEW,Courses,2022-04-24 16:35:04,659.0,229.0,1.0,2019-08-07 07:36:20,2020-11-28 00:04:07,rasbt/stat479-machine-learning-fs19,active,,2021-04-19 01:25:20.750834
PyMLSlides,https://github.com/dmitriydligach/PyMLSlides,NEW,Courses,2022-04-22 12:56:03,290.0,120.0,1.0,2017-06-05 13:59:15,2021-10-07 17:34:18,dmitriydligach/PyMLSlides,active,,2021-04-19 01:25:20.750834
OptML_course,https://github.com/epfml/OptML_course,NEW,Courses,2022-05-11 10:58:44,592.0,208.0,11.0,2018-02-21 19:06:55,2022-05-13 07:26:48,epfml/OptML_course,active,,2021-04-19 01:25:20.750834
Play-with-Machine-Learning-Algorithms,https://github.com/liuyubobobo/Play-with-Machine-Learning-Algorithms,NEW,Courses,2022-05-12 09:04:37,1152.0,591.0,1.0,2017-10-17 23:13:24,2020-11-10 08:26:50,liuyubobobo/Play-with-Machine-Learning-Algorithms,active,,2021-04-19 01:25:20.750834
CourseraML,https://github.com/kaleko/CourseraML,NEW,Courses,2022-05-14 05:13:44,1930.0,785.0,0.0,2015-12-08 00:03:22,2018-10-30 23:49:56,kaleko/CourseraML,inactive,,2021-04-19 01:25:20.750834
Online-Courses-Learning,https://github.com/MrinmoiHossain/Online-Courses-Learning,NEW,Courses,2022-05-09 07:42:57,260.0,412.0,1.0,2018-08-12 18:52:29,2019-07-14 21:07:56,MrinmoiHossain/Online-Courses-Learning,inactive,,2021-06-21 01:58:47.497649
Handson Python for Finance,https://github.com/PacktPublishing/Hands-on-Python-for-Finance,Hands-on Python for Finance published by Packt.,Courses,2022-05-13 06:13:13,189.0,143.0,3.0,2018-08-20 14:10:37,2021-01-15 08:57:06,PacktPublishing/Hands-on-Python-for-Finance,active,,
ml-course-msu,https://github.com/esokolov/ml-course-msu,NEW,Courses,2022-05-08 16:35:53,813.0,305.0,1.0,2015-09-11 08:51:24,2018-05-07 15:40:56,esokolov/ml-course-msu,inactive,,2021-04-19 01:25:20.750834
msds621,https://github.com/parrt/msds621,NEW,Courses,2022-05-09 19:43:12,328.0,127.0,2.0,2019-07-01 18:21:25,2021-12-07 19:51:49,parrt/msds621,active,,2021-11-08 01:46:47.035690
cs229-2018-autumn,https://github.com/maxim5/cs229-2018-autumn,NEW,Courses,2022-05-14 19:04:46,457.0,266.0,1.0,2021-02-08 14:39:48,2021-08-15 19:43:10,maxim5/cs229-2018-autumn,active,,2021-11-08 01:46:47.035690
DAT7,https://github.com/justmarkham/DAT7,NEW,Courses,2022-04-17 18:00:35,228.0,200.0,1.0,2015-05-16 02:29:54,2016-03-18 16:20:30,justmarkham/DAT7,inactive,,2021-04-19 01:25:20.750834
Curve,https://github.com/baidu/Curve,NEW,Data,2022-05-13 13:46:49,463.0,123.0,4.0,2017-10-23 04:07:19,2020-12-24 08:19:37,baidu/Curve,active,,2021-11-09 01:47:51.283394
data,https://github.com/open-covid-19/data,NEW,Data,2022-04-24 03:54:39,281.0,63.0,6.0,2020-03-14 06:40:00,2020-11-13 21:53:13,open-covid-19/data,active,,2021-11-09 01:47:51.283394
finance-dl,https://github.com/jbms/finance-dl,NEW,Data,2022-05-13 22:35:55,201.0,30.0,17.0,2018-10-04 21:44:22,2022-04-14 23:49:38,jbms/finance-dl,active,,2021-11-09 01:47:51.283394
neuralforecast,https://github.com/Nixtla/neuralforecast,NEW,Data,2022-05-14 12:32:26,598.0,55.0,14.0,2021-04-26 00:15:19,2022-05-13 00:04:32,Nixtla/neuralforecast,active,,2022-02-08 01:52:08.814326
alpha_vantage,https://github.com/RomelTorres/alpha_vantage,NEW,Data,2022-05-14 21:55:48,3641.0,648.0,35.0,2017-04-29 17:23:00,2021-06-14 05:10:42,RomelTorres/alpha_vantage,active,,2021-11-09 01:47:51.283394
calmap,https://github.com/martijnvermaat/calmap,NEW,Data,2022-05-04 07:17:33,187.0,57.0,4.0,2015-12-05 19:46:51,2021-07-11 10:04:57,martijnvermaat/calmap,active,,2021-11-09 01:47:51.283394
RedisTimeSeries,https://github.com/RedisTimeSeries/RedisTimeSeries,NEW,Data,2022-05-13 15:20:41,737.0,111.0,45.0,2018-01-08 09:55:32,2022-05-12 20:47:00,RedisTimeSeries/RedisTimeSeries,active,,2021-11-09 01:47:51.283394
jquery-ajax-unobtrusive,https://github.com/aspnet/jquery-ajax-unobtrusive,NEW,Data,2022-05-09 06:35:42,138.0,120.0,11.0,2015-02-27 00:25:38,2021-03-17 20:54:37,aspnet/jquery-ajax-unobtrusive,active,,2021-11-09 01:47:51.283394
Everpix-Intelligence,https://github.com/everpix/Everpix-Intelligence,NEW,Data,2022-05-03 15:19:31,2437.0,549.0,1.0,2014-01-09 07:29:57,2018-06-02 14:19:31,everpix/Everpix-Intelligence,inactive,,2021-11-09 01:47:51.283394
Data-Augmentation-For-Wearable-Sensor-Data,https://github.com/terryum/Data-Augmentation-For-Wearable-Sensor-Data,NEW,Data,2022-05-13 04:41:21,265.0,64.0,1.0,2017-08-22 19:51:54,2018-06-11 05:02:05,terryum/Data-Augmentation-For-Wearable-Sensor-Data,inactive,,2021-11-09 01:47:51.283394
Fetching-Financial-Data,https://github.com/rbhatia46/Fetching-Financial-Data,NEW,Data,2022-05-06 18:55:21,156.0,26.0,1.0,2020-08-22 23:43:18,2020-08-25 03:15:52,rbhatia46/Fetching-Financial-Data,active,,2021-11-09 01:47:51.283394
egads,https://github.com/yahoo/egads,NEW,Data,2022-05-14 08:34:35,1072.0,326.0,14.0,2015-05-06 17:47:52,2021-12-28 20:11:13,yahoo/egads,active,,2021-11-09 01:47:51.283394
rollup,https://github.com/ankane/rollup,NEW,Data,2022-05-14 17:11:03,165.0,8.0,2.0,2020-09-07 22:28:56,2022-04-05 23:44:46,ankane/rollup,active,,2021-11-09 01:47:51.283394
logisland,https://github.com/Hurence/logisland,NEW,Data,2022-01-04 08:20:08,105.0,30.0,21.0,2016-02-02 10:27:21,2022-01-04 08:19:53,Hurence/logisland,active,,2021-11-09 01:47:51.283394
DeepTimeSeries,https://github.com/pipidog/DeepTimeSeries,NEW,Data,2022-01-31 15:13:04,121.0,32.0,1.0,2018-01-25 02:47:17,2018-01-26 19:41:20,pipidog/DeepTimeSeries,inactive,,2021-11-09 01:47:51.283394
R-Fundamentals,https://github.com/dlab-berkeley/R-Fundamentals,NEW,Data,2022-05-01 02:08:02,112.0,49.0,10.0,2016-11-14 17:43:54,2022-05-06 17:05:27,dlab-berkeley/R-Fundamentals,active,,2021-12-07 01:56:42.666013
Python-NSE-Option-Chain-Analyzer,https://github.com/VarunS2002/Python-NSE-Option-Chain-Analyzer,NEW,Data,2022-05-04 06:01:24,176.0,104.0,3.0,2020-06-20 14:49:19,2022-03-11 11:40:33,VarunS2002/Python-NSE-Option-Chain-Analyzer,active,,2021-11-09 01:47:51.283394
Neural-Net-with-Financial-Time-Series-Data,https://github.com/BenjiKCF/Neural-Net-with-Financial-Time-Series-Data,NEW,Data,2022-05-03 17:33:58,741.0,314.0,1.0,2017-03-22 15:00:01,2020-12-15 13:04:13,BenjiKCF/Neural-Net-with-Financial-Time-Series-Data,active,,2021-11-09 01:47:51.283394
TimeChart,https://github.com/huww98/TimeChart,NEW,Data,2022-05-11 03:13:23,231.0,16.0,4.0,2020-01-21 09:17:04,2022-05-01 13:04:44,huww98/TimeChart,active,,2021-11-09 01:47:51.283394
binance-watch,https://github.com/rainner/binance-watch,NEW,Data,2022-05-11 15:42:49,168.0,70.0,1.0,2018-05-17 15:36:37,2022-01-04 17:44:41,rainner/binance-watch,active,,2021-11-09 01:47:51.283394
Valet,https://github.com/square/Valet,NEW,Data,2022-05-01 13:30:24,3748.0,215.0,28.0,2015-06-01 14:17:12,2022-04-27 22:32:20,square/Valet,active,,2021-11-09 01:47:51.283394
plotly-resampler,https://github.com/predict-idlab/plotly-resampler,NEW,Data,2022-05-14 12:51:48,348.0,22.0,6.0,2021-11-20 10:51:56,2022-05-10 16:14:46,predict-idlab/plotly-resampler,active,,2021-12-14 01:56:12.697043
awesome-time-series-analysis,https://github.com/youngdou/awesome-time-series-analysis,NEW,Data,2022-05-09 04:42:59,151.0,23.0,2.0,2018-10-21 13:17:13,2021-03-13 17:11:24,youngdou/awesome-time-series-analysis,active,,2021-11-09 01:47:51.283394
coinpare,https://github.com/piotrmurach/coinpare,NEW,Data,2022-03-21 23:45:27,105.0,6.0,1.0,2018-04-29 19:32:51,2022-02-22 22:52:07,piotrmurach/coinpare,active,,2021-12-21 01:58:14.409860
Time-Series-Transformer,https://github.com/allen-chiang/Time-Series-Transformer,NEW,Data,2022-05-12 10:10:04,130.0,27.0,3.0,2020-03-23 13:04:19,2021-01-11 17:36:11,allen-chiang/Time-Series-Transformer,active,,2021-11-23 01:48:03.916510
tslearn,https://github.com/tslearn-team/tslearn,NEW,Data,2022-05-14 16:07:35,2110.0,279.0,30.0,2017-05-04 13:08:13,2021-12-06 15:56:44,tslearn-team/tslearn,active,,2021-11-09 01:47:51.283394
finnhub-python,https://github.com/Finnhub-Stock-API/finnhub-python,NEW,Data,2022-05-14 07:49:49,293.0,54.0,6.0,2020-05-20 21:54:37,2022-04-20 14:14:16,Finnhub-Stock-API/finnhub-python,active,,2021-11-09 01:47:51.283394
candlestick_retriever,https://github.com/gosuto-ai/candlestick_retriever,NEW,Data,2022-05-11 11:05:12,113.0,43.0,2.0,2020-02-12 19:38:09,2021-01-19 11:57:40,gosuto-ai/candlestick_retriever,active,,2021-12-21 01:58:14.409860
mplfinance,https://github.com/matplotlib/mplfinance,NEW,Data,2022-05-14 19:49:11,2024.0,442.0,35.0,2019-12-05 16:32:32,2022-05-10 19:09:16,matplotlib/mplfinance,active,,2021-11-09 01:47:51.283394
rrd4j,https://github.com/rrd4j/rrd4j,NEW,Data,2022-04-15 05:27:44,239.0,67.0,12.0,2015-04-06 13:59:53,2022-05-06 08:21:50,rrd4j/rrd4j,active,,2021-11-09 01:47:51.283394
calendar-heatmap,https://github.com/DKirwan/calendar-heatmap,NEW,Data,2022-05-13 07:28:37,1987.0,156.0,12.0,2016-02-16 20:54:30,2019-03-12 22:48:22,DKirwan/calendar-heatmap,inactive,,2021-11-09 01:47:51.283394
simfin-tutorials,https://github.com/SimFin/simfin-tutorials,NEW,Data,2022-05-07 04:46:14,213.0,57.0,3.0,2019-09-25 13:26:40,2021-10-21 09:25:47,SimFin/simfin-tutorials,active,,2021-11-09 01:47:51.283394
covid-19,https://github.com/datasets/covid-19,NEW,Data,2022-05-14 20:44:46,1151.0,611.0,13.0,2020-03-07 11:20:47,2022-04-17 06:16:05,datasets/covid-19,active,,2021-11-09 01:47:51.283394
Cryptocurrency-Analysis-Python,https://github.com/triestpa/Cryptocurrency-Analysis-Python,NEW,Data,2022-05-13 19:08:20,325.0,111.0,1.0,2017-08-13 06:33:34,2017-12-30 01:48:03,triestpa/Cryptocurrency-Analysis-Python,inactive,,2021-11-09 01:47:51.283394
datafeed,https://github.com/yinhm/datafeed,NEW,Data,2022-01-04 16:21:50,130.0,48.0,1.0,2011-12-22 06:58:49,2014-05-30 08:11:40,yinhm/datafeed,inactive,,2021-11-09 01:47:51.283394
tigramite,https://github.com/jakobrunge/tigramite,NEW,Data,2022-05-11 21:03:09,686.0,167.0,4.0,2017-05-15 10:20:26,2022-04-14 15:56:23,jakobrunge/tigramite,active,,2022-03-15 02:10:08.371859
awesome-time-series,https://github.com/lmmentel/awesome-time-series,NEW,Data,2022-05-11 19:53:00,177.0,29.0,4.0,2021-10-26 21:48:18,2022-05-05 10:34:42,lmmentel/awesome-time-series,active,,2022-02-15 02:01:11.565985
wayback-machine-scraper,https://github.com/sangaline/wayback-machine-scraper,NEW,Data,2022-05-12 04:21:12,290.0,49.0,1.0,2017-04-04 23:27:58,2021-02-15 19:00:15,sangaline/wayback-machine-scraper,active,,2021-11-09 01:47:51.283394
timeseries_gan,https://github.com/buriburisuri/timeseries_gan,NEW,Data,2022-04-27 19:52:33,275.0,100.0,1.0,2016-09-19 02:03:05,2017-11-08 16:52:41,buriburisuri/timeseries_gan,inactive,,2021-11-09 01:47:51.283394
anomalyzer,https://github.com/lytics/anomalyzer,NEW,Data,2022-05-05 06:58:25,279.0,37.0,3.0,2014-07-11 23:29:39,2015-11-02 00:06:50,lytics/anomalyzer,inactive,,2021-11-09 01:47:51.283394
Kats,https://github.com/facebookresearch/Kats,NEW,Data,2022-05-14 00:41:44,3689.0,365.0,57.0,2021-02-25 21:51:06,2022-05-13 22:44:49,facebookresearch/Kats,active,,2021-11-09 01:47:51.283394
CalendarHeatmap,https://github.com/Zacharysp/CalendarHeatmap,NEW,Data,2022-05-09 06:30:59,145.0,18.0,2.0,2020-03-03 07:38:52,2020-10-20 22:38:25,Zacharysp/CalendarHeatmap,active,,2021-11-09 01:47:51.283394
finance-go,https://github.com/piquette/finance-go,NEW,Data,2022-05-10 15:56:05,542.0,68.0,3.0,2018-02-04 21:06:17,2021-04-29 03:54:56,piquette/finance-go,active,,2021-11-09 01:47:51.283394
awesome-time-series-database,https://github.com/xephonhq/awesome-time-series-database,NEW,Data,2022-05-10 04:01:48,640.0,71.0,4.0,2016-10-17 23:38:35,2022-04-29 16:22:52,xephonhq/awesome-time-series-database,active,,2021-11-09 01:47:51.283394
LSTM---Stock-prediction,https://github.com/jgpavez/LSTM---Stock-prediction,NEW,Data,2022-03-08 23:50:27,294.0,147.0,1.0,2015-01-21 19:23:07,2021-01-03 22:04:52,jgpavez/LSTM---Stock-prediction,active,,2021-11-09 01:47:51.283394
qlib-server,https://github.com/microsoft/qlib-server,NEW,Data,2022-05-06 11:51:16,147.0,49.0,6.0,2020-09-02 10:11:49,2021-10-29 14:53:07,microsoft/qlib-server,active,,2021-11-09 01:47:51.283394
DataFX,https://github.com/guigarage/DataFX,NEW,Data,2022-04-13 02:20:06,104.0,28.0,5.0,2017-01-16 18:52:23,2018-05-23 20:11:54,guigarage/DataFX,inactive,,2021-11-09 01:47:51.283394
Crypto-OpSec-SelfGuard-RoadMap,https://github.com/OffcierCia/Crypto-OpSec-SelfGuard-RoadMap,NEW,Data,2022-05-14 01:04:34,283.0,30.0,1.0,2021-06-22 18:06:25,2022-05-05 14:37:09,OffcierCia/Crypto-OpSec-SelfGuard-RoadMap,active,,2022-01-04 01:57:41.258575
lstm-anomaly-detect,https://github.com/aurotripathy/lstm-anomaly-detect,NEW,Data,2022-05-07 12:11:29,162.0,98.0,1.0,2016-03-10 18:58:13,2016-03-10 20:19:04,aurotripathy/lstm-anomaly-detect,inactive,,2021-11-09 01:47:51.283394
Time-Series-Analysis,https://github.com/ritvikmath/Time-Series-Analysis,NEW,Data,2022-05-13 12:10:55,307.0,397.0,1.0,2020-03-20 02:30:13,2020-10-07 15:34:46,ritvikmath/Time-Series-Analysis,active,,2021-11-09 01:47:51.283394
TabFormer,https://github.com/IBM/TabFormer,NEW,Data,2022-05-10 00:11:19,168.0,35.0,5.0,2020-10-20 17:20:36,2022-02-03 17:24:01,IBM/TabFormer,active,,2021-11-09 01:47:51.283394
kairos,https://github.com/agoragames/kairos,NEW,Data,2021-08-15 06:03:16,207.0,37.0,6.0,2012-04-11 19:24:08,2017-02-03 19:52:38,agoragames/kairos,inactive,,2021-11-09 01:47:51.283394
openHistorian,https://github.com/GridProtectionAlliance/openHistorian,NEW,Data,2022-05-07 14:16:37,141.0,45.0,16.0,2015-09-30 13:34:37,2022-05-12 04:25:50,GridProtectionAlliance/openHistorian,active,,2021-11-09 01:47:51.283394
tiingo-python,https://github.com/hydrosquall/tiingo-python,NEW,Data,2022-05-06 18:49:00,179.0,52.0,10.0,2017-08-25 02:30:50,2022-04-30 16:25:28,hydrosquall/tiingo-python,active,,2021-11-09 01:47:51.283394
acra,https://github.com/cossacklabs/acra,NEW,Data,2022-05-14 15:32:36,975.0,104.0,14.0,2016-11-14 16:23:25,2022-05-11 11:32:09,cossacklabs/acra,active,,2021-11-09 01:47:51.283394
arctic,https://github.com/man-group/arctic,NEW,Data,2022-05-15 02:10:51,2686.0,534.0,51.0,2015-05-29 13:37:30,2022-03-02 16:04:05,man-group/arctic,active,,2021-11-09 01:47:51.283394
finreportr,https://github.com/sewardlee337/finreportr,NEW,Data,2022-04-24 05:42:36,104.0,45.0,1.0,2015-08-02 21:20:24,2022-01-17 07:24:26,sewardlee337/finreportr,active,,2021-12-14 01:56:12.697043
nyctaxi,https://github.com/chriswhong/nyctaxi,NEW,Data,2022-05-06 06:55:40,453.0,159.0,2.0,2014-06-29 18:46:08,2017-08-11 22:00:46,chriswhong/nyctaxi,inactive,,2021-11-09 01:47:51.283394
investpy,https://github.com/alvarobartt/investpy,NEW,Data,2022-05-15 00:35:13,1087.0,291.0,13.0,2018-11-27 14:51:47,2022-03-28 08:12:14,alvarobartt/investpy,active,,2021-11-09 01:47:51.283394
deeptime,https://github.com/deeptime-ml/deeptime,NEW,Data,2022-05-13 14:40:11,382.0,47.0,13.0,2018-03-27 15:47:05,2022-05-05 13:19:21,deeptime-ml/deeptime,active,,2021-11-09 01:47:51.283394
Gnip-Trend-Detection,https://github.com/twitterdev/Gnip-Trend-Detection,NEW,Data,2022-05-14 14:30:24,179.0,50.0,2.0,2015-01-26 19:37:03,2017-02-28 17:55:07,twitterdev/Gnip-Trend-Detection,inactive,,2021-11-09 01:47:51.283394
cal-heatmap,https://github.com/wa0x6e/cal-heatmap,NEW,Data,2022-05-08 23:53:24,2195.0,261.0,13.0,2013-02-18 05:33:24,2018-09-20 18:02:28,wa0x6e/cal-heatmap,inactive,,2021-11-09 01:47:51.283394
downsampling-algorithm,https://github.com/haoel/downsampling-algorithm,NEW,Data,2022-04-18 10:48:34,160.0,17.0,1.0,2019-09-07 11:25:05,2022-03-02 07:05:38,haoel/downsampling-algorithm,active,,2021-11-09 01:47:51.283394
kapacitor,https://github.com/influxdata/kapacitor,NEW,Data,2022-05-12 15:53:03,2134.0,495.0,104.0,2015-08-31 14:54:42,2022-03-15 21:30:18,influxdata/kapacitor,active,,2021-11-09 01:47:51.283394
yahoo-earnings-calendar,https://github.com/wenboyu2/yahoo-earnings-calendar,NEW,Data,2022-05-05 01:27:02,159.0,67.0,4.0,2016-12-23 08:36:43,2020-04-25 07:23:40,wenboyu2/yahoo-earnings-calendar,inactive,,2021-11-09 01:47:51.283394
community-templates,https://github.com/influxdata/community-templates,NEW,Data,2022-05-12 11:40:45,200.0,132.0,48.0,2020-01-14 19:27:53,2022-05-11 14:48:41,influxdata/community-templates,active,,2021-11-09 01:47:51.283394
pystore,https://github.com/ranaroussi/pystore,NEW,Data,2022-05-12 14:05:48,421.0,81.0,5.0,2018-05-26 20:38:44,2022-02-11 11:35:58,ranaroussi/pystore,active,,2021-11-09 01:47:51.283394
pandas-finance,https://github.com/davidastephens/pandas-finance,NEW,Data,2022-05-06 18:48:45,132.0,18.0,2.0,2015-11-22 22:06:03,2021-08-08 04:31:41,davidastephens/pandas-finance,active,,2021-11-09 01:47:51.283394
awesome-TS-anomaly-detection,https://github.com/rob-med/awesome-TS-anomaly-detection,NEW,Data,2022-05-13 07:02:29,2197.0,385.0,14.0,2017-12-19 15:05:20,2022-04-01 20:33:30,rob-med/awesome-TS-anomaly-detection,active,,2021-11-09 01:47:51.283394
beringei,https://github.com/facebookarchive/beringei,NEW,Data,2022-05-13 17:07:39,3138.0,304.0,24.0,2016-10-11 00:45:02,2018-07-11 17:25:48,facebookarchive/beringei,inactive,,2021-11-09 01:47:51.283394
wxee,https://github.com/aazuspan/wxee,NEW,Data,2022-05-13 18:35:36,118.0,9.0,1.0,2021-07-22 02:13:27,2022-05-01 19:04:22,aazuspan/wxee,active,,2022-03-01 02:10:06.535299
questdb,https://github.com/questdb/questdb,NEW,Data,2022-05-14 23:44:26,8487.0,472.0,67.0,2014-04-28 23:29:15,2022-05-13 19:22:16,questdb/questdb,active,,2021-11-09 01:47:51.283394
crypto,https://github.com/JesseVent/crypto,NEW,Data,2022-05-10 08:54:30,137.0,35.0,3.0,2017-12-19 02:51:58,2020-11-28 10:48:25,JesseVent/crypto,active,,2021-11-09 01:47:51.283394
telemanom,https://github.com/khundman/telemanom,NEW,Data,2022-05-14 11:28:00,771.0,210.0,6.0,2018-06-01 20:33:20,2020-07-12 21:01:07,khundman/telemanom,active,,2021-11-09 01:47:51.283394
good-morning,https://github.com/petercerno/good-morning,NEW,Data,2022-02-14 21:54:01,190.0,88.0,2.0,2014-11-07 16:18:13,2017-08-31 14:52:06,petercerno/good-morning,inactive,,2021-11-09 01:47:51.283394
web-scraping,https://github.com/je-suis-tm/web-scraping,NEW,Data,2022-05-09 19:51:10,299.0,90.0,1.0,2018-04-04 05:50:45,2021-06-28 19:56:23,je-suis-tm/web-scraping,active,,2021-11-09 01:47:51.283394
TDengine,https://github.com/taosdata/TDengine,NEW,Data,2022-05-15 01:20:12,18324.0,4347.0,184.0,2019-07-11 08:33:48,2022-05-15 01:18:03,taosdata/TDengine,active,,2022-03-01 02:10:06.535299
twelvedata-python,https://github.com/twelvedata/twelvedata-python,NEW,Data,2022-05-12 16:35:07,193.0,33.0,6.0,2019-12-31 12:45:17,2022-02-22 12:43:33,twelvedata/twelvedata-python,active,,2021-11-09 01:47:51.283394
sec-api,https://github.com/janlukasschroeder/sec-api,NEW,Data,2022-05-12 17:07:45,116.0,21.0,2.0,2018-12-22 01:25:04,2022-01-18 18:42:27,janlukasschroeder/sec-api,active,,2021-11-16 01:48:56.187280
covid19,https://github.com/pomber/covid19,NEW,Data,2022-05-13 08:52:19,1226.0,387.0,128.0,2020-03-13 04:40:32,2022-05-14 08:36:12,pomber/covid19,active,,2021-11-09 01:47:51.283394
middle-out,https://github.com/schizofreny/middle-out,NEW,Data,2022-05-04 16:59:49,156.0,26.0,2.0,2017-11-20 17:09:11,2018-07-24 09:43:51,schizofreny/middle-out,inactive,,2021-11-09 01:47:51.283394
MAD-GANs,https://github.com/LiDan456/MAD-GANs,NEW,Data,2022-05-11 09:43:07,362.0,138.0,1.0,2019-01-09 02:16:28,2019-01-17 02:58:14,LiDan456/MAD-GANs,inactive,,2021-11-09 01:47:51.283394
spacetime-vis,https://github.com/oscarperpinan/spacetime-vis,NEW,Data,2021-11-04 03:03:19,124.0,95.0,2.0,2012-06-01 15:37:27,2018-04-05 10:44:51,oscarperpinan/spacetime-vis,inactive,,2021-11-09 01:47:51.283394
multivariate-time-series-data,https://github.com/laiguokun/multivariate-time-series-data,NEW,Data,2022-05-12 02:48:39,357.0,129.0,0.0,2017-02-16 02:32:38,2017-04-09 18:19:22,laiguokun/multivariate-time-series-data,inactive,,2021-11-09 01:47:51.283394
Spreads,https://github.com/Spreads/Spreads,NEW,Data,2022-05-07 14:48:57,369.0,38.0,3.0,2015-12-20 20:10:03,2021-08-14 18:24:05,Spreads/Spreads,active,,2021-11-09 01:47:51.283394
covid-19-germany-gae,https://github.com/jgehrcke/covid-19-germany-gae,NEW,Data,2022-05-13 15:22:08,146.0,46.0,4.0,2020-03-17 18:53:29,2022-05-15 01:57:18,jgehrcke/covid-19-germany-gae,active,,2021-11-09 01:47:51.283394
dbg-pds,https://github.com/Deutsche-Boerse/dbg-pds,NEW,Data,2022-05-12 11:08:17,152.0,28.0,6.0,2017-08-24 10:22:58,2021-07-12 11:45:48,Deutsche-Boerse/dbg-pds,active,,2021-11-09 01:47:51.283394
tsbs,https://github.com/timescale/tsbs,NEW,Data,2022-05-11 16:43:48,830.0,199.0,35.0,2018-08-08 14:30:28,2022-01-19 18:36:22,timescale/tsbs,active,,2021-11-09 01:47:51.283394
Python-Practical-Application-on-Climate-Variability-Studies,https://github.com/royalosyin/Python-Practical-Application-on-Climate-Variability-Studies,NEW,Data,2022-04-26 09:25:12,119.0,88.0,1.0,2017-09-22 02:24:30,2019-10-14 01:22:41,royalosyin/Python-Practical-Application-on-Climate-Variability-Studies,inactive,,2021-11-09 01:47:51.283394
aaltd18,https://github.com/hfawaz/aaltd18,NEW,Data,2022-05-07 14:02:00,152.0,41.0,2.0,2018-08-02 13:13:26,2018-10-11 08:55:38,hfawaz/aaltd18,inactive,,2021-11-09 01:47:51.283394
trendet,https://github.com/alvarobartt/trendet,NEW,Data,2022-05-13 02:11:13,297.0,61.0,2.0,2019-08-09 17:40:41,2020-06-28 17:25:32,alvarobartt/trendet,active,,2021-11-09 01:47:51.283394
wotan,https://github.com/hippke/wotan,NEW,Data,2022-04-14 09:21:05,115.0,16.0,1.0,2019-02-23 17:24:58,2021-09-24 07:06:34,hippke/wotan,active,,2021-11-09 01:47:51.283394
DoppelGANger,https://github.com/fjxmlzn/DoppelGANger,NEW,Data,2022-05-08 12:31:41,161.0,48.0,1.0,2019-09-28 19:58:41,2021-05-26 20:31:34,fjxmlzn/DoppelGANger,active,,2021-11-09 01:47:51.283394
LSTM-Neural-Network-for-Time-Series-Prediction,https://github.com/jaungiers/LSTM-Neural-Network-for-Time-Series-Prediction,NEW,Data,2022-05-14 04:19:53,3968.0,1790.0,1.0,2016-12-18 16:26:20,2019-04-30 15:05:34,jaungiers/LSTM-Neural-Network-for-Time-Series-Prediction,inactive,,2021-11-09 01:47:51.283394
DataFrame,https://github.com/hosseinmoein/DataFrame,NEW,Data,2022-05-14 22:47:45,1452.0,220.0,16.0,2017-10-28 17:25:45,2022-05-10 13:07:33,hosseinmoein/DataFrame,active,,2021-11-09 01:47:51.283394
hypercube,https://github.com/hypercube-lab/hypercube,NEW,Data,2022-05-12 10:44:18,935.0,208.0,15.0,2021-09-08 06:47:07,2021-10-14 13:44:17,hypercube-lab/hypercube,active,,2021-11-09 01:47:51.283394
LSTM_encoder_decoder,https://github.com/lkulowski/LSTM_encoder_decoder,NEW,Data,2022-05-10 13:01:40,175.0,58.0,1.0,2020-01-20 18:35:48,2020-11-20 03:31:31,lkulowski/LSTM_encoder_decoder,active,,2021-11-09 01:47:51.283394
change-detection-tutorial,https://github.com/amanahuja/change-detection-tutorial,NEW,Data,2022-05-06 16:23:14,182.0,45.0,1.0,2014-01-21 20:34:43,2014-05-31 02:34:17,amanahuja/change-detection-tutorial,inactive,,2021-11-09 01:47:51.283394
SFA,https://github.com/patrickzib/SFA,NEW,Data,2022-05-10 13:03:04,266.0,57.0,5.0,2016-02-22 14:32:19,2022-03-16 08:24:06,patrickzib/SFA,active,,2021-11-09 01:47:51.283394
jqdatasdk,https://github.com/JoinQuant/jqdatasdk,NEW,Data,2022-05-10 05:33:40,646.0,137.0,9.0,2017-11-29 08:39:45,2022-04-26 05:33:22,JoinQuant/jqdatasdk,active,,2021-11-09 01:47:51.283394
prophet,https://github.com/facebook/prophet,NEW,Data,2022-05-14 13:42:26,14416.0,4173.0,127.0,2016-11-16 01:50:08,2022-05-05 12:39:17,facebook/prophet,active,,2021-11-09 01:47:51.283394
Superalgos,https://github.com/Superalgos/Superalgos,NEW,Data,2022-05-14 16:57:47,2726.0,4630.0,158.0,2019-08-12 17:34:43,2022-04-06 16:38:57,Superalgos/Superalgos,active,,2021-11-09 01:47:51.283394
fibo,https://github.com/edmcouncil/fibo,NEW,Data,2022-05-10 07:20:36,177.0,40.0,21.0,2014-02-07 18:35:28,2022-04-29 16:37:07,edmcouncil/fibo,active,,2021-11-09 01:47:51.283394
financial-data-structures,https://github.com/Jackal08/financial-data-structures,NEW,Data,2022-02-23 23:59:43,115.0,59.0,1.0,2018-05-07 19:44:37,2020-02-21 14:22:00,Jackal08/financial-data-structures,inactive,,2021-11-09 01:47:51.283394
STLDecompose,https://github.com/jrmontag/STLDecompose,NEW,Data,2022-05-05 13:46:52,151.0,47.0,2.0,2017-10-16 20:27:52,2019-03-03 04:39:50,jrmontag/STLDecompose,inactive,,2021-11-09 01:47:51.283394
RGAN,https://github.com/ratschlab/RGAN,NEW,Data,2022-05-01 04:50:55,543.0,165.0,5.0,2017-06-08 11:26:13,2018-02-09 18:09:22,ratschlab/RGAN,inactive,,2021-11-09 01:47:51.283394
Schedulis,https://github.com/WeBankFinTech/Schedulis,NEW,Data,2022-05-11 03:06:24,298.0,116.0,18.0,2020-05-07 06:37:09,2022-03-28 07:00:04,WeBankFinTech/Schedulis,active,,2021-11-09 01:47:51.283394
java-fundamentals-course,https://github.com/bobocode-projects/java-fundamentals-course,NEW,Data,2022-05-14 19:12:20,119.0,133.0,10.0,2020-12-25 14:19:10,2022-05-04 08:15:30,bobocode-projects/java-fundamentals-course,active,,2022-03-22 02:19:52.247177
tvdatafeed,https://github.com/StreamAlpha/tvdatafeed,NEW,Data,2022-05-13 09:05:17,187.0,73.0,2.0,2021-04-09 07:50:54,2022-03-07 08:12:35,StreamAlpha/tvdatafeed,active,,2022-01-11 01:58:45.450506
facette,https://github.com/facette/facette,NEW,Data,2022-05-11 21:31:08,1143.0,76.0,22.0,2011-08-04 16:28:07,2020-06-11 07:45:09,facette/facette,active,,2021-11-09 01:47:51.283394
timeseriescv,https://github.com/sam31415/timeseriescv,NEW,Data,2022-05-09 14:22:03,185.0,48.0,5.0,2018-09-06 22:23:29,2022-02-15 21:31:52,sam31415/timeseriescv,active,,2021-11-09 01:47:51.283394
osgeo,https://github.com/OSGeo/osgeo,NEW,Data,2022-05-12 08:12:43,216.0,60.0,22.0,2017-07-13 14:53:37,2021-08-25 22:55:53,OSGeo/osgeo,active,,2021-11-09 01:47:51.283394
FinMind,https://github.com/FinMind/FinMind,NEW,Data,2022-05-14 18:24:32,1719.0,283.0,7.0,2018-12-16 07:16:25,2022-03-08 11:03:33,FinMind/FinMind,active,,2021-11-09 01:47:51.283394
finlib,https://github.com/hartktmk/finlib,NEW,Data,2022-02-01 10:39:15,133.0,23.0,1.0,2019-05-12 05:00:55,2021-03-23 20:03:28,harttraveller/finlib,active,,2021-11-09 01:47:51.283394
Indicators,https://github.com/debut-js/Indicators,NEW,Data,2022-05-12 00:32:32,116.0,16.0,8.0,2020-06-23 08:21:31,2022-05-14 13:08:05,debut-js/Indicators,active,,2022-04-19 02:52:11.082245
miditime,https://github.com/cirlabs/miditime,NEW,Data,2022-04-26 20:49:20,139.0,39.0,5.0,2015-05-12 21:48:29,2016-09-29 21:56:25,cirlabs/miditime,inactive,,2021-11-09 01:47:51.283394
Deedle,https://github.com/fslaborg/Deedle,NEW,Data,2022-05-12 14:51:27,799.0,189.0,31.0,2013-09-17 18:53:34,2021-11-11 13:44:29,fslaborg/Deedle,active,,2021-11-09 01:47:51.283394
marketstore,https://github.com/alpacahq/marketstore,NEW,Data,2022-05-11 14:45:50,1578.0,193.0,25.0,2018-01-07 07:27:25,2022-05-09 01:12:11,alpacahq/marketstore,active,,2021-11-09 01:47:51.283394
luminaire,https://github.com/zillow/luminaire,NEW,Data,2022-05-15 01:16:55,570.0,45.0,7.0,2020-07-08 19:22:50,2022-03-17 21:28:29,zillow/luminaire,active,,2021-11-09 01:47:51.283394
Stocks-Pattern-Analyzer,https://github.com/gaborvecsei/Stocks-Pattern-Analyzer,NEW,Data,2022-05-06 18:58:25,143.0,59.0,1.0,2021-01-17 14:27:08,2021-03-22 15:22:14,gaborvecsei/Stocks-Pattern-Analyzer,active,,2021-11-09 01:47:51.283394
redtide,https://github.com/qks1lver/redtide,NEW,Data,2022-03-23 19:55:25,160.0,38.0,1.0,2018-08-19 20:13:44,2020-05-22 05:45:27,qks1lver/redtide,active,,2021-11-09 01:47:51.283394
blueflood,https://github.com/rackerlabs/blueflood,NEW,Data,2022-04-20 21:13:21,592.0,101.0,29.0,2013-05-15 14:50:39,2022-03-28 14:44:32,rax-maas/blueflood,active,,2021-11-09 01:47:51.283394
binjr,https://github.com/binjr/binjr,NEW,Data,2022-05-03 20:32:39,166.0,19.0,2.0,2016-10-26 12:08:26,2022-05-13 13:34:09,binjr/binjr,active,,2021-11-09 01:47:51.283394
Time-Series-Forecasting-of-Amazon-Stock-Prices-using-Neural-Networks-LSTM-and-GAN-,https://github.com/deshpandenu/Time-Series-Forecasting-of-Amazon-Stock-Prices-using-Neural-Networks-LSTM-and-GAN-,NEW,Data,2022-05-13 02:11:32,232.0,91.0,1.0,2019-07-29 17:44:47,2020-08-12 15:43:34,deshpandenu/Time-Series-Forecasting-of-Amazon-Stock-Prices-using-Neural-Networks-LSTM-and-GAN-,active,,2021-11-09 01:47:51.283394
Rating Industries,http://www.ratingshistory.info/,,Data,,,,,,,,,,
tradekit,https://github.com/hackingthemarkets/tradekit,NEW,Data,2022-05-13 11:42:23,424.0,194.0,1.0,2020-12-25 21:54:13,2021-03-07 03:09:10,hackingthemarkets/tradekit,active,,2021-11-09 01:47:51.283394
stocklook,https://github.com/zbarge/stocklook,NEW,Data,2022-05-09 05:43:45,140.0,37.0,1.0,2017-10-29 22:05:01,2018-06-22 03:07:36,zbarge/stocklook,inactive,,2021-11-09 01:47:51.283394
trading-indicator,https://github.com/thanhnguyennguyen/trading-indicator,NEW,Data,2022-05-10 09:58:41,149.0,41.0,3.0,2020-01-30 01:04:36,2022-04-06 09:26:05,thanhnguyennguyen/trading-indicator,active,,2022-01-25 01:56:23.928177
matrixprofile,https://github.com/matrix-profile-foundation/matrixprofile,NEW,Data,2022-05-15 01:55:27,258.0,42.0,17.0,2019-07-22 00:33:37,2021-06-26 01:59:24,matrix-profile-foundation/matrixprofile,active,,2021-11-09 01:47:51.283394
FOTOSPLOIT-,https://github.com/Juanhacker051/FOTOSPLOIT-,NEW,Data,2022-05-11 17:16:27,119.0,17.0,1.0,2020-07-12 23:02:30,2020-07-12 23:02:31,Juanhacker051/FOTOSPLOIT-,active,,2022-03-01 02:10:06.535299
tstables,https://github.com/afiedler/tstables,NEW,Data,2022-03-13 14:31:33,185.0,57.0,2.0,2014-05-13 13:59:23,2015-10-10 17:37:47,afiedler/tstables,inactive,,2021-11-09 01:47:51.283394
brein-time-utilities,https://github.com/Breinify/brein-time-utilities,NEW,Data,2022-05-09 07:35:31,104.0,14.0,5.0,2016-03-03 03:09:03,2022-04-04 22:58:38,Breinify/brein-time-utilities,active,,2022-01-04 01:57:41.258575
GAN-RNN_Timeseries-imputation,https://github.com/IvanBongiorni/GAN-RNN_Timeseries-imputation,NEW,Data,2022-05-10 15:02:10,108.0,21.0,1.0,2020-03-27 17:10:10,2020-11-03 09:51:03,IvanBongiorni/GAN-RNN_Timeseries-imputation,active,,2022-03-15 02:10:08.371859
armadillo,https://github.com/patrickfav/armadillo,NEW,Data,2022-05-07 06:47:19,253.0,49.0,8.0,2017-12-19 00:35:28,2021-11-13 08:02:32,patrickfav/armadillo,active,,2021-11-09 01:47:51.283394
Nginx-Lua-Anti-DDoS,https://github.com/C0nw0nk/Nginx-Lua-Anti-DDoS,NEW,Data,2022-05-12 14:32:30,517.0,185.0,2.0,2019-08-21 23:52:09,2022-05-12 14:35:01,C0nw0nk/Nginx-Lua-Anti-DDoS,active,,2021-11-09 01:47:51.283394
FinanceDataReader,https://github.com/FinanceData/FinanceDataReader,NEW,Data,2022-05-12 16:33:03,736.0,249.0,8.0,2018-04-19 13:51:59,2022-03-28 12:15:04,FinanceData/FinanceDataReader,active,,2021-11-09 01:47:51.283394
Open-Data-Catalog,https://github.com/azavea/Open-Data-Catalog,NEW,Data,2022-03-09 12:58:39,228.0,89.0,10.0,2011-06-16 13:21:20,2014-01-13 14:18:45,azavea/Open-Data-Catalog,inactive,,2021-11-09 01:47:51.283394
torque,https://github.com/econpy/torque,NEW,Data,2022-05-08 17:02:18,251.0,115.0,2.0,2013-12-09 06:28:43,2015-07-13 09:55:55,econpy/torque,inactive,,2021-11-09 01:47:51.283394
ultrafinance,https://github.com/panpanpandas/ultrafinance,NEW,Data,2022-05-11 08:06:06,399.0,164.0,1.0,2014-10-20 04:21:07,2014-10-20 04:31:29,panpanpandas/ultrafinance,inactive,,2021-11-09 01:47:51.283394
fili,https://github.com/yahoo/fili,NEW,Data,2022-05-12 14:52:44,158.0,82.0,36.0,2016-06-10 22:07:59,2022-04-14 19:16:48,yahoo/fili,active,,2021-11-09 01:47:51.283394
pysec,https://github.com/lukerosiak/pysec,NEW,Data,2022-05-06 22:22:24,319.0,154.0,2.0,2013-05-04 23:03:02,2014-01-22 21:15:22,lukerosiak/pysec,inactive,,2021-11-09 01:47:51.283394
Tools-termux,https://github.com/Taoviqinvicible/Tools-termux,NEW,Data,,,,,,,Taoviqinvicible/Tools-termux,,,2021-11-09 01:47:51.283394
Visualis,https://github.com/WeBankFinTech/Visualis,NEW,Data,2022-05-13 10:21:32,179.0,91.0,15.0,2019-11-26 02:47:29,2021-12-04 05:50:00,WeBankFinTech/Visualis,active,,2021-12-28 01:54:48.452850
tardis-node,https://github.com/tardis-dev/tardis-node,NEW,Data,2022-05-09 20:02:35,193.0,46.0,2.0,2019-06-13 08:46:04,2022-05-05 18:52:21,tardis-dev/tardis-node,active,,2021-11-09 01:47:51.283394
PyRate,https://github.com/GeoscienceAustralia/PyRate,NEW,Data,2022-05-07 05:26:47,145.0,56.0,17.0,2015-05-25 02:12:46,2022-02-25 04:08:37,GeoscienceAustralia/PyRate,active,,2021-11-09 01:47:51.283394
financial_fundamentals,https://github.com/andrewkittredge/financial_fundamentals,NEW,Data,2022-04-28 22:08:24,132.0,53.0,1.0,2013-02-27 03:40:41,2015-03-22 21:51:47,andrewkittredge/financial_fundamentals,inactive,,2021-11-09 01:47:51.283394
fhe-toolkit-linux,https://github.com/IBM/fhe-toolkit-linux,NEW,Data,2022-05-06 16:27:31,1284.0,125.0,15.0,2020-05-04 21:32:24,2021-10-12 13:19:52,IBM/fhe-toolkit-linux,active,,2021-11-09 01:47:51.283394
tsfile,https://github.com/thulab/tsfile,NEW,Data,2022-04-20 23:15:44,106.0,22.0,15.0,2017-03-30 14:45:08,2018-12-18 03:30:06,thulab/tsfile,inactive,,2021-11-09 01:47:51.283394
TAcharts,https://github.com/carlfarterson/TAcharts,NEW,Data,2022-05-02 15:59:01,127.0,33.0,2.0,2019-09-05 00:02:11,2022-02-24 21:58:09,cartercarlson/TAcharts,active,,2021-11-09 01:47:51.283394
jquery-autocomplete,https://github.com/dyve/jquery-autocomplete,NEW,Data,2021-12-30 00:29:15,403.0,192.0,10.0,2011-12-28 12:31:02,2015-03-26 09:50:53,dyve/jquery-autocomplete,inactive,,2021-11-09 01:47:51.283394
openvdb,https://github.com/AcademySoftwareFoundation/openvdb,NEW,Data,2022-05-14 19:42:31,1692.0,471.0,44.0,2013-04-12 18:39:57,2022-05-13 19:02:41,AcademySoftwareFoundation/openvdb,active,,2021-11-09 01:47:51.283394
motion-sense,https://github.com/mmalekzadeh/motion-sense,NEW,Data,2022-05-09 16:21:50,226.0,81.0,2.0,2018-02-06 20:41:21,2021-10-19 08:47:39,mmalekzadeh/motion-sense,active,,2021-11-09 01:47:51.283394
FlashDB,https://github.com/armink/FlashDB,NEW,Data,2022-05-14 09:48:00,731.0,231.0,16.0,2020-05-24 10:15:56,2022-04-25 07:30:01,armink/FlashDB,active,,2021-11-09 01:47:51.283394
hadoop-fundamentals,https://github.com/bbengfort/hadoop-fundamentals,NEW,Data,2022-05-03 03:50:20,158.0,147.0,2.0,2014-11-02 15:11:37,2016-08-23 14:54:03,bbengfort/hadoop-fundamentals,inactive,,2021-11-09 01:47:51.283394
mstables,https://github.com/caiobran/mstables,NEW,Data,2022-05-04 12:47:34,127.0,34.0,2.0,2019-02-20 21:00:59,2022-01-12 18:42:45,caiobran/mstables,active,,2021-12-14 01:56:12.697043
jsnlog.js,https://github.com/mperdeck/jsnlog.js,NEW,Data,2022-04-05 02:43:25,129.0,42.0,9.0,2014-02-24 09:20:27,2021-10-03 11:18:18,mperdeck/jsnlog.js,active,,2021-11-09 01:47:51.283394
py-market-profile,https://github.com/bfolkens/py-market-profile,NEW,Data,2022-05-13 04:10:01,217.0,91.0,1.0,2017-10-04 04:55:28,2020-11-30 18:05:29,bfolkens/py-market-profile,active,,2021-11-09 01:47:51.283394
zohmg,https://github.com/zohmg/zohmg,NEW,Data,2019-10-16 15:25:30,175.0,11.0,3.0,2009-06-01 15:35:35,2012-10-16 15:13:14,zohmg/zohmg,inactive,,2021-11-09 01:47:51.283394
opentick,https://github.com/rustdesk/opentick,NEW,Data,2022-05-01 21:50:33,168.0,34.0,1.0,2018-08-26 14:02:09,2020-10-25 17:19:32,rustdesk/opentick,active,,2021-11-09 01:47:51.283394
EconomicTracker,https://github.com/OpportunityInsights/EconomicTracker,NEW,Data,2022-05-10 14:41:34,258.0,167.0,3.0,2020-06-17 04:35:43,2022-05-13 13:58:46,OpportunityInsights/EconomicTracker,active,,2021-11-09 01:47:51.283394
tokencaps,https://github.com/pRoy24/tokencaps,NEW,Data,2022-02-26 06:51:08,118.0,19.0,1.0,2017-11-26 03:00:37,2018-10-19 06:15:31,pRoy24/tokencaps,inactive,,2021-11-09 01:47:51.283394
django-cryptography,https://github.com/georgemarshall/django-cryptography,NEW,Data,2022-05-11 06:07:41,266.0,51.0,3.0,2016-03-02 07:55:01,2022-04-10 05:12:30,georgemarshall/django-cryptography,active,,2021-11-09 01:47:51.283394
edgar,https://github.com/datasets/edgar,NEW,Data,2022-03-16 17:09:00,298.0,71.0,2.0,2014-03-03 20:17:23,2018-07-07 16:31:59,datasets/edgar,inactive,,2021-11-09 01:47:51.283394
python-edgar,https://github.com/edgarminers/python-edgar,NEW,Data,2022-05-13 21:19:47,263.0,61.0,6.0,2014-06-11 01:20:09,2022-03-07 22:39:43,edgarminers/python-edgar,active,,2021-11-09 01:47:51.283394
element-china-area-data,https://github.com/Plortinus/element-china-area-data,NEW,Data,2022-05-12 03:34:30,986.0,186.0,4.0,2017-03-01 06:10:33,2020-09-29 02:55:21,Plortinus/element-china-area-data,active,,2021-11-09 01:47:51.283394
Expert-Advisor-Studio,https://github.com/fintechees/Expert-Advisor-Studio,NEW,Data,2022-05-08 11:53:07,200.0,30.0,2.0,2019-02-18 17:52:25,2022-05-13 20:54:36,fintechees/Expert-Advisor-Studio,active,,2021-11-09 01:47:51.283394
DP-900T00A-Azure-Data-Fundamentals,https://github.com/MicrosoftLearning/DP-900T00A-Azure-Data-Fundamentals,NEW,Data,2022-05-14 01:20:09,111.0,103.0,5.0,2021-03-03 22:58:00,2022-04-07 18:36:50,MicrosoftLearning/DP-900T00A-Azure-Data-Fundamentals,active,,2022-04-12 02:28:45.910825
Non-financial Corporate,http://raw.rutgers.edu/Non-Financial%20Corporate%20Data.html,,Data,,,,,,,,,,
simfin,https://github.com/SimFin/simfin,NEW,Data,2022-04-27 07:52:15,233.0,31.0,2.0,2019-09-25 13:25:42,2021-11-25 13:28:21,SimFin/simfin,active,,2021-11-09 01:47:51.283394
griddb,https://github.com/griddb/griddb,NEW,Data,2022-05-14 15:01:50,1725.0,4325.0,7.0,2016-02-24 06:31:40,2022-04-21 02:32:57,griddb/griddb,active,,2021-11-09 01:47:51.283394
SwiftDataTables,https://github.com/pavankataria/SwiftDataTables,NEW,Data,2022-05-09 08:43:57,392.0,67.0,7.0,2017-03-09 12:13:55,2022-02-20 20:00:32,pavankataria/SwiftDataTables,active,,2021-11-09 01:47:51.283394
py-edgar,https://github.com/joeyism/py-edgar,NEW,Data,2022-03-28 22:59:41,180.0,50.0,3.0,2017-06-29 23:59:34,2021-08-26 17:23:20,joeyism/py-edgar,active,,2021-11-09 01:47:51.283394
Employee Count SEC Filings,https://github.com/healthgradient/sec_employee_information_extraction,,Data,2021-11-20 05:10:08,12.0,3.0,0.0,2018-06-26 23:33:51,2018-08-14 01:31:13,JarrodAJ/sec_employee_information_extraction,inactive,,
https://fred.stlouisfed.org/,https://fred.stlouisfed.org/,,Data,,,,,,,,,,
SDV,https://github.com/sdv-dev/SDV,NEW,Data,2022-05-14 13:15:54,873.0,140.0,17.0,2018-05-11 15:56:50,2022-05-13 20:22:47,sdv-dev/SDV,active,,2021-11-09 01:47:51.283394
IRS,http://social-metrics.org/sox/,,Data,,,,,,,,,,
FundamentalAnalysis,https://github.com/JerBouma/FundamentalAnalysis,NEW,Data,2022-05-14 16:04:29,993.0,146.0,6.0,2019-04-08 11:44:25,2022-05-09 06:30:28,JerBouma/FundamentalAnalysis,active,,2021-11-09 01:47:51.283394
springMvcPlusMongo,https://github.com/caijiahao/springMvcPlusMongo,NEW,Data,2022-04-24 10:33:02,143.0,72.0,1.0,2016-11-11 06:17:47,2016-12-22 04:08:01,caijiahao/springMvcPlusMongo,inactive,,2021-11-09 01:47:51.283394
jhTAlib,https://github.com/joosthoeks/jhTAlib,NEW,Data,2022-04-15 14:51:10,137.0,40.0,1.0,2016-10-01 20:32:21,2021-12-30 15:52:45,joosthoeks/jhTAlib,active,,2021-11-09 01:47:51.283394
tempo,https://github.com/databrickslabs/tempo,NEW,Data,2022-05-11 16:30:27,186.0,28.0,15.0,2020-07-14 15:43:11,2022-05-10 22:55:16,databrickslabs/tempo,active,,2021-11-09 01:47:51.283394
https://stooq.com,https://stooq.com,,Data,,,,,,,,,,
coinbash,https://github.com/8go/coinbash,NEW,Data,2022-04-21 03:47:26,110.0,23.0,1.0,2017-12-04 12:58:24,2020-10-03 05:51:12,8go/coinbash,active,,2021-11-30 01:42:39.267564
IDTxl,https://github.com/pwollstadt/IDTxl,NEW,Data,2022-05-09 12:38:19,155.0,53.0,12.0,2015-07-16 07:14:21,2021-04-09 09:57:52,pwollstadt/IDTxl,active,,2021-11-09 01:47:51.283394
AutoMunge,https://github.com/Automunge/AutoMunge,NEW,Data,2022-04-26 18:09:05,141.0,18.0,1.0,2018-11-07 16:21:23,2022-03-19 16:44:23,Automunge/AutoMunge,active,,2022-03-22 02:19:52.247177
WeDataSphere,https://github.com/WeBankFinTech/WeDataSphere,NEW,Data,2022-05-10 13:31:15,496.0,133.0,6.0,2019-07-23 06:31:54,2022-05-11 08:26:38,WeBankFinTech/WeDataSphere,active,,2021-11-09 01:47:51.283394
js-jose,https://github.com/square/js-jose,NEW,Data,2022-04-15 12:17:24,406.0,96.0,20.0,2015-01-27 23:26:10,2020-06-23 15:26:54,square/js-jose,active,,2021-11-09 01:47:51.283394
TAcharts,https://github.com/cartercarlson/TAcharts,NEW,Data,2022-05-02 15:59:01,127.0,33.0,2.0,2019-09-05 00:02:11,2022-02-24 21:58:09,cartercarlson/TAcharts,active,,2022-02-15 02:01:11.565985
DeepSense,https://github.com/yscacaca/DeepSense,NEW,Data,2022-04-17 18:57:30,186.0,64.0,1.0,2017-07-02 21:38:33,2017-12-12 23:44:24,yscacaca/DeepSense,inactive,,2021-11-09 01:47:51.283394
BitcoinExchangeFH,https://github.com/BitcoinExchangeFH/BitcoinExchangeFH,NEW,Data,2022-05-13 00:18:33,894.0,285.0,4.0,2016-10-24 13:30:31,2021-11-30 22:16:21,BitcoinExchangeFH/BitcoinExchangeFH,active,,2021-11-09 01:47:51.283394
deep-quant,https://github.com/euclidjda/deep-quant,NEW,Data,2022-05-09 13:32:08,120.0,52.0,5.0,2017-09-18 20:37:13,2019-07-23 19:59:28,euclidjda/deep-quant,inactive,,2021-11-09 01:47:51.283394
CryptoApp,https://github.com/iampawan/CryptoApp,NEW,Data,2022-05-11 10:20:10,274.0,101.0,4.0,2018-03-10 11:34:46,2019-05-25 03:16:23,iampawan/CryptoApp,inactive,,2021-11-09 01:47:51.283394
FXModelValidation,https://github.com/plandem/FXModelValidation,NEW,Data,2021-12-28 07:55:47,135.0,11.0,3.0,2014-11-17 20:06:02,2015-07-24 14:30:16,plandem/FXModelValidation,inactive,,2021-11-09 01:47:51.283394
time-series-transformers-review,https://github.com/qingsongedu/time-series-transformers-review,NEW,Data,2022-05-16 17:30:09,238.0,30.0,1.0,2022-03-01 01:36:29,2022-05-15 17:00:03,qingsongedu/time-series-transformers-review,active,,2022-05-17 02:54:17.956377
cs-fundamentals,https://github.com/connor11528/cs-fundamentals,NEW,Data,2022-05-14 22:02:59,1002.0,230.0,4.0,2016-12-29 21:47:23,2020-06-09 00:04:00,connor11528/cs-fundamentals,active,,2021-11-09 01:47:51.283394
SEC Parsing,https://github.com/healthgradient/sec-doc-info-extraction/blob/master/classify_sections_containing_relevant_information.ipynb,,Data,2021-10-12 20:28:27,10.0,7.0,0.0,2018-06-16 14:30:06,2018-06-16 17:23:46,JarrodAJ/sec-doc-info-extraction,inactive,,
gun,https://github.com/amark/gun,NEW,Data,2022-05-14 20:37:41,15899.0,1043.0,127.0,2014-07-31 15:52:10,2022-05-09 03:34:16,amark/gun,active,,2021-11-09 01:47:51.283394
openmicroscopy,https://github.com/ome/openmicroscopy,NEW,Data,2022-05-14 16:01:17,160.0,100.0,47.0,2011-08-18 14:26:02,2022-04-28 20:54:33,ome/openmicroscopy,active,,2021-11-09 01:47:51.283394
ScraXBRL,https://github.com/tooksoi/ScraXBRL,NEW,Data,2022-05-13 02:05:16,234.0,82.0,1.0,2016-03-06 15:20:23,2017-01-18 23:54:44,tooksoi/ScraXBRL,inactive,,2021-11-09 01:47:51.283394
cryptostore,https://github.com/bmoscon/cryptostore,NEW,Data,2022-05-11 07:53:50,286.0,117.0,22.0,2019-01-26 00:39:36,2022-03-01 22:04:57,bmoscon/cryptostore,active,,2021-11-09 01:47:51.283394
backtesting-for-cryptocurrency-trading,https://github.com/CyberPunkMetalHead/backtesting-for-cryptocurrency-trading,NEW,Data,2022-03-17 06:02:38,147.0,41.0,1.0,2021-06-12 16:18:50,2021-06-20 11:52:38,CyberPunkMetalHead/backtesting-for-cryptocurrency-trading,active,,2021-11-09 01:47:51.283394
open-crypto,https://github.com/vapor/open-crypto,NEW,Data,2022-04-19 12:15:01,124.0,33.0,16.0,2016-08-05 22:00:21,2020-07-13 23:43:44,vapor/open-crypto,active,,2021-11-09 01:47:51.283394
kcov,https://github.com/SimonKagstrom/kcov,NEW,Data,2022-05-10 16:16:42,578.0,90.0,47.0,2010-08-23 12:03:31,2022-03-23 05:35:38,SimonKagstrom/kcov,active,,2021-11-09 01:47:51.283394
FinancialDatasets,https://github.com/smoothnlp/FinancialDatasets,NEW,Data,2022-05-10 16:20:08,316.0,101.0,2.0,2019-05-27 08:53:57,2019-09-03 08:46:57,smoothnlp/FinancialDatasets,inactive,,2021-11-09 01:47:51.283394
cryptofeed,https://github.com/bmoscon/cryptofeed,NEW,Data,2022-05-13 23:44:16,1345.0,465.0,93.0,2017-12-16 12:35:23,2022-05-13 18:32:29,bmoscon/cryptofeed,active,,2021-11-09 01:47:51.283394
Zenroom,https://github.com/dyne/Zenroom,NEW,Data,2022-05-12 07:15:49,129.0,54.0,28.0,2017-12-02 12:15:05,2022-05-13 10:23:03,dyne/Zenroom,active,,2021-11-09 01:47:51.283394
trainset,https://github.com/Geocene/trainset,NEW,Data,2022-05-13 13:45:43,109.0,27.0,8.0,2019-02-13 21:21:03,2022-01-15 00:53:35,Geocene/trainset,active,,2021-11-23 01:48:03.916510
Python-Fundamentals,https://github.com/dlab-berkeley/Python-Fundamentals,NEW,Data,2022-05-12 09:18:41,142.0,102.0,12.0,2016-08-08 01:25:20,2022-05-02 02:58:42,dlab-berkeley/Python-Fundamentals,active,,2021-11-09 01:47:51.283394
hanzo.js,https://github.com/hanzoai/hanzo.js,NEW,Data,2021-11-24 14:27:24,129.0,3.0,5.0,2015-03-23 00:56:44,2019-11-07 01:06:14,hanzoai/hanzo.js,inactive,,2021-11-09 01:47:51.283394
http://finance.yahoo.com/,http://finance.yahoo.com/,,Data,,,,,,,,,,
killrweather,https://github.com/killrweather/killrweather,NEW,Data,2022-04-30 19:27:43,1184.0,403.0,5.0,2014-10-07 16:53:21,2016-12-20 02:45:16,killrweather/killrweather,inactive,,2021-11-09 01:47:51.283394
resnet1d,https://github.com/hsd1503/resnet1d,NEW,Data,2022-05-13 17:50:25,164.0,57.0,2.0,2019-10-27 01:15:48,2022-02-07 12:35:59,hsd1503/resnet1d,active,,2021-11-09 01:47:51.283394
InteractiveVis,https://github.com/oxfordinternetinstitute/InteractiveVis,NEW,Data,2022-03-16 13:57:04,126.0,50.0,3.0,2012-05-24 15:54:46,2015-10-16 11:13:41,oxfordinternetinstitute/InteractiveVis,inactive,,2021-11-09 01:47:51.283394
Capital Markets Data,https://www.capitalmarketsdata.com/,,Data,,,,,,,,,,
DXY-COVID-19-Data,https://github.com/BlankerL/DXY-COVID-19-Data,NEW,Data,2022-05-14 09:15:55,2130.0,734.0,1.0,2020-01-31 13:21:57,2022-04-19 10:35:23,BlankerL/DXY-COVID-19-Data,active,,2021-11-09 01:47:51.283394
FinRL-Meta,https://github.com/AI4Finance-Foundation/FinRL-Meta,NEW,Data,2022-05-14 21:10:58,333.0,164.0,18.0,2021-02-16 11:30:17,2022-05-12 12:36:13,AI4Finance-Foundation/FinRL-Meta,active,,2021-12-07 01:56:42.666013
Deep-Learning-For-Hackers,https://github.com/curiousily/Deep-Learning-For-Hackers,NEW,Data,2022-05-11 09:25:06,783.0,364.0,1.0,2019-04-24 06:06:44,2020-04-23 06:08:46,curiousily/Deep-Learning-For-Hackers,inactive,,2021-11-09 01:47:51.283394
sec-edgar-financials,https://github.com/farhadab/sec-edgar-financials,NEW,Data,2022-03-24 17:42:27,104.0,31.0,1.0,2018-12-03 04:37:05,2019-08-05 20:06:33,farhadab/sec-edgar-financials,inactive,,2022-01-18 01:59:59.706365
covid-19-open-data,https://github.com/GoogleCloudPlatform/covid-19-open-data,NEW,Data,2022-05-11 07:34:00,429.0,119.0,20.0,2020-07-23 23:43:51,2022-04-26 01:57:15,GoogleCloudPlatform/covid-19-open-data,active,,2021-11-09 01:47:51.283394
coinmarketcap-history,https://github.com/Waultics/coinmarketcap-history,NEW,Data,2022-04-03 14:31:03,180.0,66.0,5.0,2017-10-08 19:37:07,2020-03-07 03:58:10,Waultics/coinmarketcap-history,inactive,,2021-11-09 01:47:51.283394
SKAB,https://github.com/waico/SKAB,NEW,Data,2022-05-13 15:15:56,147.0,26.0,5.0,2020-07-19 06:15:02,2022-03-26 20:33:05,waico/SKAB,active,,2021-12-21 01:58:14.409860
cryptoCMD,https://github.com/guptarohit/cryptoCMD,NEW,Data,2022-05-11 14:28:19,384.0,75.0,3.0,2018-01-27 22:32:48,2022-02-19 21:46:36,guptarohit/cryptoCMD,active,,2021-11-09 01:47:51.283394
Financial Corporate,http://raw.rutgers.edu/Corporate%20Financial%20Data.html,,Data,,,,,,,,,,
Open Edgar,https://github.com/LexPredict/openedgar,,Data,2022-05-13 21:23:09,217.0,71.0,5.0,2018-05-07 15:32:31,2019-05-15 08:32:30,LexPredict/openedgar,inactive,,
pystock-crawler,https://github.com/eliangcs/pystock-crawler,NEW,Data,2022-04-27 11:20:52,299.0,99.0,1.0,2013-08-31 14:10:02,2014-10-19 08:09:57,eliangcs/pystock-crawler,inactive,,2021-11-09 01:47:51.283394
jquery-validation-unobtrusive,https://github.com/aspnet/jquery-validation-unobtrusive,NEW,Data,2022-05-06 11:24:07,225.0,111.0,14.0,2014-10-14 16:00:23,2021-11-24 21:54:57,aspnet/jquery-validation-unobtrusive,active,,2021-11-09 01:47:51.283394
Auto_TS,https://github.com/AutoViML/Auto_TS,NEW,Data,2022-05-08 05:22:27,432.0,79.0,5.0,2020-02-15 15:23:32,2022-02-13 22:22:57,AutoViML/Auto_TS,active,,2021-11-09 01:47:51.283394
oreilly_sql_fundamentals_for_data,https://github.com/thomasnield/oreilly_sql_fundamentals_for_data,NEW,Data,2022-04-01 03:58:33,124.0,92.0,1.0,2017-06-03 17:43:53,2021-11-12 15:00:41,thomasnield/oreilly_sql_fundamentals_for_data,active,,2021-11-09 01:47:51.283394
chart-fx,https://github.com/GSI-CS-CO/chart-fx,NEW,Data,2022-05-11 19:26:50,341.0,59.0,14.0,2019-05-07 12:13:31,2021-07-11 19:58:37,fair-acc/chart-fx,active,,2021-11-09 01:47:51.283394
i2p.i2p,https://github.com/i2p/i2p.i2p,NEW,Data,2022-05-13 20:57:30,1439.0,280.0,15.0,2012-05-26 20:54:59,2022-05-11 15:54:25,i2p/i2p.i2p,active,,2021-11-09 01:47:51.283394
fxl,https://github.com/zero-one-group/fxl,NEW,Data,2022-05-11 23:08:31,112.0,9.0,4.0,2020-04-18 13:18:54,2021-09-14 09:48:27,zero-one-group/fxl,active,,2021-11-09 01:47:51.283394
crypto,https://github.com/spatie/crypto,NEW,Data,2022-05-12 16:10:15,340.0,35.0,8.0,2020-11-06 14:46:03,2022-03-21 14:40:21,spatie/crypto,active,,2021-11-09 01:47:51.283394
RZDataBinding,https://github.com/Rightpoint/RZDataBinding,NEW,Data,2022-03-20 09:25:55,550.0,63.0,4.0,2014-09-19 15:15:16,2018-10-04 22:34:22,Rightpoint/RZDataBinding,inactive,,2021-11-09 01:47:51.283394
Gekko-Datasets,https://github.com/xFFFFF/Gekko-Datasets,NEW,Data,2022-03-10 04:54:47,153.0,40.0,1.0,2018-04-04 22:00:35,2018-05-31 18:43:53,xFFFFF/Gekko-Datasets,inactive,,2021-11-09 01:47:51.283394
sec-edgar-downloader,https://github.com/jadchaar/sec-edgar-downloader,NEW,Data,2022-05-09 10:31:07,263.0,75.0,2.0,2018-12-20 20:59:26,2022-01-01 03:51:11,jadchaar/sec-edgar-downloader,active,,2021-11-09 01:47:51.283394
PrivateBin,https://github.com/PrivateBin/PrivateBin,NEW,Data,2022-05-15 00:33:52,4035.0,559.0,92.0,2016-07-09 07:03:25,2022-05-02 17:21:58,PrivateBin/PrivateBin,active,,2021-11-09 01:47:51.283394
sec-edgar,https://github.com/sec-edgar/sec-edgar,NEW,Data,2022-05-13 02:04:34,677.0,227.0,18.0,2013-11-27 21:27:22,2022-01-02 23:17:42,sec-edgar/sec-edgar,active,,2021-11-09 01:47:51.283394
dataconnector,https://github.com/brentadamson/dataconnector,NEW,Data,2022-05-10 18:08:40,103.0,22.0,1.0,2021-03-21 19:50:49,2022-02-28 00:58:10,brentadamson/dataconnector,active,,2022-02-01 01:53:23.424386
tardis-machine,https://github.com/tardis-dev/tardis-machine,NEW,Data,2022-05-10 22:42:42,141.0,36.0,1.0,2019-06-13 09:18:54,2022-05-04 18:39:45,tardis-dev/tardis-machine,active,,2021-11-09 01:47:51.283394
Phinch,https://github.com/PitchInteractiveInc/Phinch,NEW,Data,2021-10-27 23:05:42,149.0,29.0,5.0,2013-11-07 17:59:53,2021-10-27 23:05:24,PitchInteractiveInc/Phinch,active,,2021-11-09 01:47:51.283394
lfai-landscape,https://github.com/lfai/lfai-landscape,NEW,Data,2022-05-02 10:12:39,216.0,86.0,112.0,2018-11-26 04:46:46,2022-05-14 11:34:50,lfai/lfai-landscape,active,,2021-11-09 01:47:51.283394
angular-chartjs,https://github.com/pipefail/angular-chartjs,NEW,Data,2022-04-22 22:40:04,148.0,40.0,6.0,2013-09-17 06:01:13,2015-09-25 19:49:00,tuxedobitmask/angular-chartjs,inactive,,2021-11-09 01:47:51.283394
fushare,https://github.com/LowinLi/fushare,NEW,Data,2022-05-04 04:32:29,194.0,72.0,6.0,2018-07-19 05:46:20,2020-03-31 09:42:38,LowinLi/fushare,inactive,,2021-11-09 01:47:51.283394
cryptory,https://github.com/dashee87/cryptory,NEW,Data,2022-05-11 14:42:55,220.0,60.0,1.0,2018-02-06 23:49:54,2018-06-12 23:40:41,dashee87/cryptory,inactive,,2021-11-09 01:47:51.283394
https://github.com/timestocome/StockMarketData,https://github.com/timestocome/StockMarketData,,Data,2022-03-29 09:16:00,10.0,7.0,1.0,2017-05-10 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,2022-05-08 14:09:25,647.0,203.0,2.0,2019-02-19 19:02:59,2021-12-18 09:24:32,firmai/business-machine-learning,active,,
EdgarRenderer,https://github.com/Arelle/EdgarRenderer,NEW,Data,2022-05-05 15:04:13,120.0,47.0,2.0,2015-04-17 19:28:57,2022-03-21 21:30:51,Arelle/EdgarRenderer,active,,2021-11-09 01:47:51.283394
controllers,https://github.com/MetaMask/controllers,NEW,Data,2022-05-14 15:12:59,105.0,89.0,36.0,2018-05-29 12:55:25,2022-05-13 22:26:04,MetaMask/controllers,active,,2022-04-12 02:28:45.910825
search_widget,https://github.com/apgapg/search_widget,NEW,Data,2022-05-03 13:27:03,196.0,51.0,8.0,2019-04-03 12:40:18,2022-05-02 11:00:07,apgapg/search_widget,active,,2021-11-09 01:47:51.283394
lepto,https://github.com/dimitrinicolas/lepto,NEW,Data,2021-12-03 16:13:07,492.0,15.0,1.0,2018-06-01 22:15:10,2018-08-21 16:00:59,dimitrinicolas/lepto,inactive,,2021-11-09 01:47:51.283394
fredapi,https://github.com/mortada/fredapi,NEW,Data,2022-05-14 04:46:05,502.0,120.0,7.0,2014-08-22 01:43:29,2022-03-15 14:11:35,mortada/fredapi,active,,2021-11-09 01:47:51.283394
EDGAR,https://github.com/TiesdeKok/UW_Python_Camp/blob/master/Materials/Session_5/EDGAR_walkthrough.ipynb,,Data,2022-02-19 21:59:22,16.0,12.0,1.0,2018-06-11 22:51:57,2018-07-10 18:03:52,TiesdeKok/UW_Python_Camp,inactive,,
crypto_identifier,https://github.com/Acceis/crypto_identifier,NEW,Data,2022-04-24 23:29:08,116.0,25.0,1.0,2017-11-30 13:04:49,2018-01-04 11:04:44,Acceis/crypto_identifier,inactive,,2021-11-09 01:47:51.283394
ruby.fundamental,https://github.com/khusnetdinov/ruby.fundamental,NEW,Data,2022-05-12 07:28:40,424.0,77.0,10.0,2016-08-12 07:59:39,2018-11-07 20:12:30,khusnetdinov/ruby.fundamental,inactive,,2021-11-09 01:47:51.283394
twitter-sentiment-visualisation,https://github.com/Lissy93/twitter-sentiment-visualisation,NEW,Data,2022-05-08 23:43:19,148.0,60.0,4.0,2015-07-24 09:25:24,2019-01-12 23:42:11,Lissy93/twitter-sentiment-visualisation,inactive,,2021-11-09 01:47:51.283394
hadoopcryptoledger,https://github.com/ZuInnoTe/hadoopcryptoledger,NEW,Data,2022-04-20 12:26:41,137.0,48.0,3.0,2016-03-28 16:08:49,2022-03-26 22:36:10,ZuInnoTe/hadoopcryptoledger,active,,2021-11-09 01:47:51.283394
MarketData.jl,https://github.com/JuliaQuant/MarketData.jl,NEW,Data,2022-05-05 21:59:28,106.0,22.0,6.0,2014-01-07 14:49:27,2022-04-19 08:46:12,JuliaQuant/MarketData.jl,active,,2022-03-29 02:26:15.174535
cryptoexchange,https://github.com/coingecko/cryptoexchange,NEW,Data,2022-04-06 06:47:30,279.0,332.0,63.0,2017-07-03 10:25:10,2020-06-22 13:16:13,coingecko/cryptoexchange,active,,2021-11-09 01:47:51.283394
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,2022-05-08 22:16:22,1242.0,518.0,4.0,2018-04-25 17:22:40,2020-01-16 17:25:41,BlackArbsCEO/Adv_Fin_ML_Exercises,inactive,4.0,
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,2022-05-04 07:49:58,406.0,157.0,10.0,2014-06-01 01:14:12,2022-02-11 15:57:28,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,2022-05-11 23:51:36,202.0,60.0,4.0,2019-06-02 05:48:39,2019-09-12 13:03:05,microsoft/CryptoNets,inactive,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 12:13:48,71.0,11.0,1.0,2017-07-23 02:59:59,2017-07-23 03:10:35,hpnhxxwn/Google-Finance-Stock-Data-Analysis,inactive,3.0,12:49.2
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,2022-05-01 02:11:38,82.0,24.0,1.0,2017-05-22 17:07:45,2017-05-23 08:06:27,Medha11/Twitter-Trends,inactive,3.0,12:49.2
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,2022-03-16 14:19:31,78.0,59.0,5.0,2016-09-26 19:42:54,2021-06-07 17:38:13,mapr-demos/finserv-application-blueprint,active,2.0,12:49.2
freqtrade-gym,https://github.com/hugocen/freqtrade-gym,NEW,Deep Learning And Reinforcement Learning,2022-05-12 05:46:35,172.0,38.0,2.0,2020-09-23 12:57:20,2021-10-11 07:36:32,hugocen/freqtrade-gym,active,,2021-11-09 01:48:11.420110
Deep Learning IV,https://github.com/achillesrasquinha/bulbea,Bulbea: Deep Learning based Python Library.,Deep Learning And Reinforcement Learning,2022-05-14 14:02:17,1655.0,444.0,1.0,2017-03-09 06:11:06,2017-03-19 07:42:49,achillesrasquinha/bulbea,inactive,5.0,
deep-RL-trading,https://github.com/golsun/deep-RL-trading,trading game comparing RNN vs CNN vs MLP based on [paper](https://arxiv.org/abs/1803.03916),Deep Learning And Reinforcement Learning,2022-05-10 05:12:46,306.0,122.0,1.0,2018-02-25 17:41:42,2020-12-01 22:06:39,golsun/deep-RL-trading,active,3.0,3/31/21 8:00
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,2022-05-09 12:06:17,275.0,122.0,1.0,2017-05-18 16:47:11,2017-05-18 16:56:38,shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading,inactive,3.0,
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,2022-05-07 02:54:37,266.0,154.0,1.0,2017-08-21 16:00:42,2017-08-21 17:23:48,sonaam1234/DeepLearningInFinance,inactive,3.0,3/31/21 8:00
Deep-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,2022-05-14 11:34:43,1119.0,475.0,6.0,2020-07-26 13:12:53,2021-01-21 18:11:59,AI4Finance-Foundation/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020,active,4.0,3/31/21 8:00
Stock-Prediction-Models,https://github.com/huseinzol05/Stock-Prediction-Models,very good curated list of notebooks showing deep learning + reinforcement learning models. Also contain topics on outlier detections/overbought oversold study/monte carlo simulartions/sentiment analysis from text (text storage/parsing is not detailed but it mentioned using [BERT](https://github.com/google-research/bert)),Deep Learning And Reinforcement Learning,2022-05-14 20:46:00,5140.0,2081.0,2.0,2017-12-18 10:49:59,2021-01-05 10:31:50,huseinzol05/Stock-Prediction-Models,active,5.0,3/31/21 8:00
maro,https://github.com/microsoft/maro,NEW,Deep Learning And Reinforcement Learning,2022-05-14 17:40:03,602.0,114.0,22.0,2019-12-27 06:48:27,2022-02-10 06:22:12,microsoft/maro,active,,39:11.1
Deep-Reinforcement-Learning-in-Trading,https://github.com/saeed349/Deep-Reinforcement-Learning-in-Trading,Deep reinforcement learning for trading leveraging [openai gym](https://gym.openai.com/) framework. Keras implementation of DQN DDQN (double deep Q network) and DDDQN (dueling double dqn) trained/tested on s&p 500 daily data from 2013 to 2018. approach is described in an article [here](https://www.linkedin.com/pulse/deep-reinforcement-learning-trading-saeed-rahman),Deep Learning And Reinforcement Learning,2022-05-14 16:53:20,160.0,71.0,1.0,2018-05-11 00:52:14,2019-10-26 14:22:44,saeed349/Deep-Reinforcement-Learning-in-Trading,inactive,3.0,3/31/21 8:00
LTSM GRU,https://github.com/RajatHanda/Finance-Forecasting,Stock Market Forecasting using LSTM\GRU.,Deep Learning And Reinforcement Learning,2022-04-19 06:44:48,15.0,6.0,1.0,2018-05-13 02:39:32,2019-02-25 00:26:42,RajatHanda/Finance-Forecasting,inactive,3.0,
Deep-Reinforcement-Stock-Trading,https://github.com/Albert-Z-Guo/Deep-Reinforcement-Stock-Trading,inspired by Q-trader a deep reinforcement learning repo for trading. Only 3 actions allowed (buy/hold/sell) and no transaction cost is implemented yet. Uses [empyrical](https://github.com/quantopian/empyrical) for portfolio stats,Deep Learning And Reinforcement Learning,2022-04-25 11:00:42,260.0,65.0,2.0,2019-05-19 22:20:05,2020-09-27 19:22:28,Albert-Z-Guo/Deep-Reinforcement-Stock-Trading,active,3.0,3/31/21 8:00
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,2022-05-13 13:00:56,479.0,221.0,1.0,2018-08-13 10:44:08,2020-01-23 04:41:20,pskrunner14/trading-bot,inactive,3.0,3/31/21 8:00
RLQuant,https://github.com/yuriak/RLQuant,NEW,Deep Learning And Reinforcement Learning,2022-03-09 16:36:32,293.0,96.0,1.0,2018-04-05 05:42:44,2018-08-13 04:18:29,yuriak/RLQuant,inactive,,39:11.1
RL IV,https://github.com/jjakimoto/DQN,Reinforcement Learning for finance.,Deep Learning And Reinforcement Learning,2022-04-20 10:19:43,153.0,60.0,1.0,2016-10-21 02:47:17,2017-04-07 08:11:57,jjakimoto/DQN,inactive,,
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,2022-05-03 20:41:07,195.0,63.0,2.0,2019-02-23 12:01:21,2021-08-31 15:34:07,sachink2010/AutomatedStockTrading-DeepQ-Learning,active,3.0,3/31/21 8:00
gym-trading,https://github.com/hackthemarket/gym-trading,NEW,Deep Learning And Reinforcement Learning,2022-05-06 02:58:44,629.0,204.0,2.0,2016-12-09 20:46:19,2017-12-24 15:34:37,hackthemarket/gym-trading,inactive,,39:11.1
Trading-Gym,https://github.com/thedimlebowski/Trading-Gym,NEW,Deep Learning And Reinforcement Learning,2022-04-23 16:19:29,532.0,152.0,3.0,2017-06-13 13:14:48,2017-07-10 08:09:30,thedimlebowski/Trading-Gym,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,2022-04-17 08:06:43,201.0,44.0,2.0,2019-04-22 10:03:21,2020-09-28 09:07:18,Kostis-S-Z/trading-rl,active,3.0,3/31/21 8:00
Pair-Trading-Reinforcement-Learning,https://github.com/wai-i/Pair-Trading-Reinforcement-Learning,NEW,Deep Learning And Reinforcement Learning,2022-05-09 11:35:41,183.0,65.0,1.0,2019-06-09 22:50:37,2020-01-03 15:36:22,wai-i/Pair-Trading-Reinforcement-Learning,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,
RL,https://github.com/kh-kim/stock_market_reinforcement_learning,OpenGym with Deep Q-learning and Policy Gradient.,Deep Learning And Reinforcement Learning,2022-05-11 10:42:40,763.0,320.0,1.0,2016-10-04 14:42:19,2016-12-23 07:34:08,kh-kim/stock_market_reinforcement_learning,inactive,2.0,
FinRL,https://github.com/AI4Finance-LLC/FinRL,NEW,Deep Learning And Reinforcement Learning,2022-05-14 16:57:32,4900.0,1170.0,55.0,2020-07-26 13:18:16,2022-05-14 01:24:53,AI4Finance-Foundation/FinRL,active,,13:03.7
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,2022-05-14 16:51:00,557.0,178.0,3.0,2018-06-21 01:06:01,2021-11-30 13:52:18,sadighian/crypto-rl,active,3.0,3/31/21 8:00
awesome-deep-trading,https://github.com/cbailes/awesome-deep-trading,curated list of papers/repos on topics like CNN/LSTM/GAN/Reinforcement Learning etc. Categorized as deep learning for now but there are other topics here. Manually maintained by cbailes,Deep Learning And Reinforcement Learning,2022-05-14 16:49:54,936.0,227.0,1.0,2018-11-26 03:23:04,2021-01-01 09:41:21,cbailes/awesome-deep-trading,active,4.0,3/31/21 8:00
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,2022-05-06 23:58:29,261.0,108.0,1.0,2018-08-05 02:13:21,2018-10-01 11:25:53,imhgchoi/ARIMA-LSTM-hybrid-corrcoef-predict,inactive,3.0,
RL II,https://github.com/deependersingla/deep_trader,reinforcement learning on stock market and agent tries to learn trading.,Deep Learning And Reinforcement Learning,2022-05-14 10:37:09,1406.0,502.0,3.0,2016-06-11 07:27:10,2018-01-22 14:35:50,deependersingla/deep_trader,inactive,3.0,
TradingGym,https://github.com/cove9988/TradingGym,NEW,Deep Learning And Reinforcement Learning,2022-05-11 11:47:14,187.0,50.0,4.0,2017-11-06 00:50:01,2021-11-14 05:37:30,cove9988/TradingGym,active,,39:11.1
Deep Learning II,https://github.com/LiamConnell/deep-algotrading/tree/master/notebooks,Tensorflow Regression.,Deep Learning And Reinforcement Learning,2022-05-09 05:41:44,190.0,69.0,1.0,2016-07-12 12:56:10,2018-02-16 02:43:36,LiamConnell/deep-algotrading,inactive,3.0,
TradingGym,https://github.com/Yvictor/TradingGym,NEW,Deep Learning And Reinforcement Learning,2022-05-14 17:23:39,1018.0,277.0,2.0,2017-05-01 13:53:32,2018-02-14 13:58:18,Yvictor/TradingGym,inactive,,39:11.1
QLearning_Trading,https://github.com/ucaiado/QLearning_Trading,NEW,Deep Learning And Reinforcement Learning,2022-04-27 03:36:43,467.0,175.0,1.0,2016-08-10 06:02:23,2016-10-15 02:36:09,ucaiado/QLearning_Trading,inactive,,39:11.1
Neural Network,https://github.com/VivekPa/IntroNeuralNetworks,Neural networks to predict stock prices.,Deep Learning And Reinforcement Learning,2022-05-12 07:57:50,587.0,193.0,2.0,2018-09-10 06:34:53,2018-11-21 07:39:31,VivekPa/IntroNeuralNetworks,inactive,4.0,
pairstrade-fyp-2019,https://github.com/wywongbd/pairstrade-fyp-2019,NEW,Deep Learning And Reinforcement Learning,2022-05-10 06:31:59,176.0,54.0,2.0,2018-09-07 07:51:06,2020-05-13 05:06:51,wywongbd/pairstrade-fyp-2019,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,2022-05-08 16:05:24,312.0,135.0,3.0,2017-03-10 10:52:02,2018-06-11 08:07:02,PiSimo/BitcoinForecast,inactive,3.0,3/31/21 8:00
a3c_trading,https://github.com/evgps/a3c_trading,NEW,Deep Learning And Reinforcement Learning,2022-05-03 07:02:06,365.0,117.0,1.0,2018-06-04 15:30:16,2021-10-26 07:35:02,evgps/a3c_trading,active,,39:11.1
stock-prediction-deep-neural-learning,https://github.com/JordiCorbilla/stock-prediction-deep-neural-learning,NEW,Deep Learning And Reinforcement Learning,2022-05-13 21:54:29,165.0,47.0,1.0,2020-07-01 17:31:42,2021-11-06 16:09:54,JordiCorbilla/stock-prediction-deep-neural-learning,active,,2021-11-23 01:48:24.660467
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,2022-05-07 18:44:48,397.0,192.0,2.0,2019-02-16 21:18:00,2020-11-29 20:12:59,Rachnog/Advanced-Deep-Trading,active,3.0,3/31/21 8:00
FinRL-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,2022-05-14 16:57:32,4900.0,1170.0,55.0,2020-07-26 13:18:16,2022-05-14 01:24:53,AI4Finance-Foundation/FinRL,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,2022-04-27 06:04:06,197.0,102.0,1.0,2018-06-26 04:30:08,2018-09-23 16:50:33,joelowj/Machine-Learning-and-Reinforcement-Learning-in-Finance,inactive,,39:11.1
Deep Learning III,https://github.com/Rachnog/Deep-Trading,Algorithmic trading with deep learning experiments.,Deep Learning And Reinforcement Learning,2022-05-11 06:36:28,1326.0,690.0,1.0,2016-06-18 18:23:06,2018-08-07 15:24:45,Rachnog/Deep-Trading,inactive,5.0,
RL III,https://github.com/samre12/deep-trading-agent,Github -Deep Reinforcement Learning based Trading Agent for Bitcoin.,Deep Learning And Reinforcement Learning,2022-05-12 12:36:17,646.0,211.0,1.0,2017-09-21 17:05:19,2018-04-13 16:33:21,samre12/deep-trading-agent,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,2022-05-10 13:42:48,1206.0,340.0,2.0,2018-03-10 11:22:00,2018-09-02 17:21:38,Ceruleanacg/Personae,inactive,5.0,3/31/21 8:00
rl_trading,https://github.com/ucaiado/rl_trading,NEW,Deep Learning And Reinforcement Learning,2022-05-04 14:04:41,231.0,106.0,1.0,2017-05-29 22:19:00,2017-08-29 14:54:50,ucaiado/rl_trading,inactive,,39:11.1
Deep Learning,https://github.com/keon/deepstock,Technical experimentations to beat the stock market using deep learning.,Deep Learning And Reinforcement Learning,2022-05-05 21:28:04,445.0,155.0,2.0,2016-12-12 02:15:12,2017-03-04 08:37:29,keon/deepstock,inactive,4.0,
RL-Bitcoin-trading-bot,https://github.com/pythonlessons/RL-Bitcoin-trading-bot,NEW,Deep Learning And Reinforcement Learning,2022-05-10 19:19:39,232.0,149.0,1.0,2020-12-02 06:07:14,2022-03-03 08:28:50,pythonlessons/RL-Bitcoin-trading-bot,active,,2021-11-09 01:48:11.420110
AI Trading,https://github.com/borisbanushev/stockpredictionai/blob/master/readme2.md,AI to predict stock market movements.,Deep Learning And Reinforcement Learning,2022-05-13 13:58:54,3372.0,1556.0,1.0,2019-01-09 08:02:47,2019-02-11 16:32:47,borisbanushev/stockpredictionai,inactive,5.0,
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,2022-05-14 11:16:34,1528.0,520.0,15.0,2019-04-27 18:35:15,2019-10-17 16:25:49,notadamking/RLTrader,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,2022-05-14 08:27:07,580.0,192.0,1.0,2018-09-29 23:38:06,2022-05-12 11:58:16,LastAncientOne/Deep-Learning-Machine-Learning-Stock,active,3.0,3/31/21 8:00
tensortrade,https://github.com/tensortrade-org/tensortrade,NEW,Deep Learning And Reinforcement Learning,2022-05-14 23:54:34,3855.0,921.0,49.0,2019-07-30 21:28:32,2022-03-02 13:05:43,tensortrade-org/tensortrade,active,,39:11.1
RL V,https://github.com/gstenger98/rl-finance,Building an Agent to Trade with Reinforcement Learning.,Deep Learning And Reinforcement Learning,2022-05-12 17:45:21,36.0,10.0,5.0,2019-01-16 00:43:36,2020-03-19 20:28:08,GrantStenger/rl-finance,inactive,2.0,
DQN-DDPG_Stock_Trading,https://github.com/AI4Finance-LLC/DQN-DDPG_Stock_Trading,merged into FinRL library and uses [gym](https://gym.openai.com/) and implementation of DQN,Deep Learning And Reinforcement Learning,2022-05-11 02:03:32,202.0,77.0,4.0,2018-09-19 03:17:06,2020-11-26 16:58:00,AI4Finance-Foundation/DQN-DDPG_Stock_Trading,active,3.0,3/31/21 8:00
LTSM Recurrent,https://github.com/VivekPa/AIAlpha,OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network.,Deep Learning And Reinforcement Learning,2022-05-14 17:00:18,1396.0,418.0,2.0,2018-10-07 03:58:26,2019-08-03 09:00:44,VivekPa/AIAlpha,inactive,4.0,
stocktrends,https://github.com/ChillarAnand/stocktrends,NEW,Derivatives and Hedging,2022-05-11 20:05:51,186.0,53.0,1.0,2018-02-06 12:56:48,2021-08-15 06:06:05,ChillarAnand/stocktrends,active,,2021-07-07 01:48:02.687855
fast_arrow,https://github.com/westonplatter/fast_arrow,NEW,Derivatives and Hedging,2022-05-09 11:11:08,127.0,39.0,5.0,2018-07-19 23:15:25,2020-04-18 18:05:37,westonplatter/fast_arrow,inactive,,23:51.4
investbook,https://github.com/spacious-team/investbook,NEW,Derivatives and Hedging,2022-05-08 09:02:59,104.0,31.0,15.0,2020-02-15 18:23:48,2022-05-14 18:26:51,spacious-team/investbook,active,,2022-05-04 02:53:40.766573
StockSharp,https://github.com/StockSharp/StockSharp,NEW,Derivatives and Hedging,2022-05-14 00:00:04,4910.0,1432.0,16.0,2014-12-08 07:53:44,2022-04-29 08:27:55,StockSharp/StockSharp,active,,23:51.4
Delta Hedging,https://github.com/RobinsonGarcia/delta-hedging,Advanced derivatives.,Derivatives and Hedging,2022-02-23 01:32:49,5.0,3.0,1.0,2018-03-02 23:53:53,2018-07-17 23:32:23,RobinsonGarcia/delta-hedging,inactive,,
Quantsbin,https://github.com/quantsbin/Quantsbin,NEW,Derivatives and Hedging,2022-05-14 04:46:03,147.0,34.0,3.0,2018-07-04 02:23:09,2021-05-23 18:14:26,quantsbin/Quantsbin,active,,2022-01-26 01:55:50.593433
trading-server,https://github.com/s-brez/trading-server,NEW,Derivatives and Hedging,2022-05-13 12:33:09,414.0,90.0,2.0,2019-03-05 03:06:19,2021-03-08 02:37:08,s-brez/trading-server,active,,23:51.4
Options-Trading-Strategies-in-Python,https://github.com/PyPatel/Options-Trading-Strategies-in-Python,NEW,Derivatives and Hedging,2022-05-14 08:01:56,430.0,157.0,1.0,2017-08-30 06:00:15,2019-08-21 15:47:57,PyPatel/Options-Trading-Strategies-in-Python,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,2022-03-05 06:44:43,21.0,15.0,1.0,2018-01-29 05:01:52,2018-08-02 05:56:49,chen-bowen/Computational_Finance,inactive,,
Derman,https://github.com/rstreppa/valuation-convertibles-Goldman1994/blob/master/ConvertibleBond_Goldman1994_Derman.ipynb,Binomial tree for American call.,Derivatives and Hedging,2021-10-12 20:26:37,3.0,4.0,1.0,2018-05-18 18:08:16,2018-09-21 19:59:01,rstreppa/valuation-convertibles-Goldman1994,inactive,,
pancakeswap-prediction-winner,https://github.com/modagavr/pancakeswap-prediction-winner,NEW,Derivatives and Hedging,2022-05-09 17:08:45,202.0,116.0,3.0,2021-06-09 14:30:14,2022-04-26 12:10:26,modagavr/pancakeswap-prediction-winner,active,,2021-11-10 01:46:37.106806
quant-trading,https://github.com/je-suis-tm/quant-trading,NEW,Derivatives and Hedging,2022-05-15 01:59:27,2761.0,675.0,2.0,2018-04-03 14:08:14,2021-11-10 18:34:14,je-suis-tm/quant-trading,active,,23:51.4
tai,https://github.com/fremantle-industries/tai,NEW,Derivatives and Hedging,2022-04-30 17:03:51,358.0,66.0,6.0,2017-07-28 03:07:18,2022-05-09 14:00:22,fremantle-industries/tai,active,,23:51.4
Options Risk Measures,https://github.com/wanglouis49/risk_estimation,Efficient financial risk estimation via computer experiment design (regression + variance-reduced sampling).,Derivatives and Hedging,2021-10-12 21:01:25,2.0,3.0,1.0,2016-04-29 03:51:25,2018-01-16 01:24:07,wanglouis49/risk_estimation,inactive,,
Reinforcement Learning,https://github.com/FinTechies/HedgingRL,Hedging portfolios with reinforcement learning.,Derivatives and Hedging,2022-05-08 13:46:56,22.0,11.0,1.0,2017-04-21 10:58:56,2017-08-02 21:41:06,FinTechies/HedgingRL,inactive,,
MarketAnalysis,https://github.com/p-eq/MarketAnalysis,NEW,Derivatives and Hedging,2022-04-21 23:29:41,205.0,89.0,1.0,2019-03-28 19:46:34,2020-08-06 05:15:46,p-eq/MarketAnalysis,active,,2022-05-11 02:50:14.580036
trade-frame,https://github.com/rburkholder/trade-frame,NEW,Derivatives and Hedging,2022-05-05 15:37:28,253.0,100.0,2.0,2016-07-24 15:25:30,2022-01-03 06:16:42,rburkholder/trade-frame,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,2022-04-20 02:52:43,5.0,4.0,1.0,2018-05-22 18:27:26,2018-05-22 18:30:24,rstreppa/valuation-OptionStrategies,inactive,,
tda-api,https://github.com/alexgolec/tda-api,NEW,Derivatives and Hedging,2022-05-15 01:17:36,979.0,271.0,23.0,2020-04-03 21:19:12,2022-05-06 18:53:28,alexgolec/tda-api,active,,23:51.4
Derivatives Python,https://github.com/yhilpisch/dawp/tree/master/python36,Derivative analytics with Python.,Derivatives and Hedging,2022-05-02 10:01:21,464.0,332.0,1.0,2015-07-09 12:27:29,2021-02-22 13:29:18,yhilpisch/dawp,active,,
Hull White,https://github.com/rstreppa/valuation-callables-HullWhite/blob/master/CallableBond_HullWhite.ipynb,"Callable Bond, Hull White.",Derivatives and Hedging,2021-10-12 20:28:55,5.0,10.0,1.0,2018-06-06 22:06:06,2018-06-06 22:27:02,rstreppa/valuation-callables-HullWhite,inactive,,
paperbroker,https://github.com/philipodonnell/paperbroker,NEW,Derivatives and Hedging,2022-05-13 18:23:08,210.0,57.0,3.0,2017-07-06 02:04:51,2018-04-08 18:37:57,philipodonnell/paperbroker,inactive,,23:51.4
wallstreet,https://github.com/mcdallas/wallstreet,NEW,Derivatives and Hedging,2022-05-11 09:11:36,801.0,152.0,3.0,2016-01-20 22:03:39,2022-02-12 18:01:45,mcdallas/wallstreet,active,,23:51.4
Options_Data_Science,https://github.com/yugedata/Options_Data_Science,NEW,Derivatives and Hedging,2022-05-04 06:54:55,284.0,57.0,1.0,2020-12-09 04:51:20,2022-03-16 19:20:04,yugedata/Options_Data_Science,active,,23:51.4
openAlgo,https://github.com/mtompkins/openAlgo,NEW,Derivatives and Hedging,2022-05-07 17:08:42,176.0,86.0,2.0,2013-05-28 14:46:53,2017-03-24 20:00:24,mtompkins/openAlgo,inactive,,23:51.4
FinancePy,https://github.com/domokane/FinancePy,NEW,Derivatives and Hedging,2022-05-13 16:50:28,831.0,129.0,10.0,2019-10-27 15:04:56,2022-03-20 14:27:07,domokane/FinancePy,active,,23:51.4
gs-quant,https://github.com/goldmansachs/gs-quant,NEW,Derivatives and Hedging,2022-05-14 16:07:53,1068.0,252.0,16.0,2018-12-14 21:10:40,2022-05-06 16:52:23,goldmansachs/gs-quant,active,,23:51.4
MarketAnalysis,https://github.com/Poseyy/MarketAnalysis,NEW,Derivatives and Hedging,2022-04-21 23:29:41,205.0,89.0,1.0,2019-03-28 19:46:34,2020-08-06 05:15:46,p-eq/MarketAnalysis,active,,23:51.4
lumibot,https://github.com/Lumiwealth/lumibot,NEW,Derivatives and Hedging,2022-05-14 14:50:47,202.0,33.0,4.0,2020-09-10 10:00:16,2022-05-11 23:13:28,Lumiwealth/lumibot,active,,2022-05-04 02:53:40.766573
Black Scholes,https://github.com/irajwani/numerical_methods_python/blob/master/black_scholes.ipynb,Options pricing.,Derivatives and Hedging,2021-10-12 20:31:37,2.0,3.0,0.0,2017-12-09 18:50:20,2018-07-09 09:48:36,irajwani/numerical_methods_python,inactive,,
FinanceDatabase,https://github.com/JerBouma/FinanceDatabase,NEW,Derivatives and Hedging,2022-05-14 09:58:04,1057.0,142.0,1.0,2021-01-28 18:36:09,2022-03-30 08:56:10,JerBouma/FinanceDatabase,active,,23:51.4
Options,https://github.com/QuantConnect/Tutorials/tree/master/06%20Introduction%20to%20Options%5B%5D,Introduction to options.,Derivatives and Hedging,2022-05-07 21:59:20,424.0,187.0,36.0,2017-07-28 15:48:29,2022-03-11 16:10:25,QuantConnect/Tutorials,active,,
AlgorithmicTrading,https://github.com/JerBouma/AlgorithmicTrading,NEW,Derivatives and Hedging,2022-05-12 22:25:32,312.0,86.0,1.0,2019-03-14 09:33:37,2021-02-03 22:29:07,JerBouma/AlgorithmicTrading,active,,23:51.4
tf-quant-finance,https://github.com/google/tf-quant-finance,NEW,Derivatives and Hedging,2022-05-14 23:57:47,3076.0,418.0,36.0,2019-07-24 16:09:50,2022-05-05 20:23:01,google/tf-quant-finance,active,,23:51.4
QLNet,https://github.com/amaggiulli/QLNet,NEW,Derivatives and Hedging,2022-05-10 14:36:50,301.0,146.0,14.0,2013-08-22 14:51:43,2021-12-07 18:04:21,amaggiulli/QLNet,active,,23:51.4
akshare,https://github.com/jindaxiang/akshare,NEW,Derivatives and Hedging,2022-05-14 17:47:37,4910.0,1099.0,26.0,2019-10-01 07:34:12,2022-05-14 09:32:24,akfamily/akshare,active,,23:51.4
optopsy,https://github.com/michaelchu/optopsy,NEW,Derivatives and Hedging,2022-05-07 15:24:58,569.0,112.0,3.0,2017-09-17 01:49:54,2021-06-04 16:13:34,michaelchu/optopsy,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,2021-10-12 17:45:09,9.0,9.0,1.0,2016-02-09 05:30:27,2021-04-15 16:02:59,broughtj/Fin6470,active,,
robin_stocks,https://github.com/jmfernandes/robin_stocks,NEW,Derivatives and Hedging,2022-05-14 17:42:43,1288.0,348.0,41.0,2018-02-23 00:49:37,2022-01-20 04:55:03,jmfernandes/robin_stocks,active,,23:51.4
Strata,https://github.com/OpenGamma/Strata,NEW,Derivatives and Hedging,2022-05-11 10:15:57,682.0,241.0,46.0,2014-06-16 11:45:55,2022-05-13 15:53:14,OpenGamma/Strata,active,,23:51.4
Options,https://github.com/PHBS/2018.M1.ASP/tree/master/py,Black Scholes and Copula.,Derivatives and Hedging,,,,,,,PHBS/2018.M1.ASP,,,
huobi_futures_Python,https://github.com/hbdmapi/huobi_futures_Python,NEW,Derivatives and Hedging,2022-05-10 08:24:43,242.0,106.0,2.0,2020-01-14 07:21:39,2021-06-25 01:29:01,hbdmapi/huobi_futures_Python,active,,23:51.4
algotrader,https://github.com/torreyleonard/algotrader,NEW,Derivatives and Hedging,2022-05-14 00:13:26,548.0,116.0,12.0,2018-04-10 02:31:26,2020-08-27 08:16:44,torreyleonard/algotrader,active,,23:51.4
Volatility and Variance Derivatives,https://github.com/yhilpisch/lvvd/tree/master/lvvd,Volatility derivatives analytics.,Derivatives and Hedging,2022-05-15 00:02:17,99.0,87.0,1.0,2016-10-21 04:12:50,2022-01-04 07:41:22,yhilpisch/lvvd,active,,
Avellaneda-Stoikov,https://github.com/mdibo/Avellaneda-Stoikov,NEW,Extended Research,2022-04-25 02:17:07,75.0,56.0,1.0,2017-10-16 03:36:34,2020-05-09 23:35:08,mdibo/Avellaneda-Stoikov,inactive,,2021-06-02 04:27:12.212333
HFT_Bitcoin,https://github.com/ghgr/HFT_Bitcoin,NEW,Extended Research,2022-05-04 14:08:05,80.0,29.0,1.0,2017-07-27 07:11:48,2017-08-21 14:50:35,ghgr/HFT_Bitcoin,inactive,,2021-04-21 01:25:51.827641
fx_systrade,https://github.com/ryogrid/fx_systrade,NEW,Extended Research,2022-02-11 04:51:00,84.0,33.0,2.0,2015-07-24 11:46:28,2020-10-23 10:17:01,ryogrid/fx_systrade,active,,2021-04-21 01:25:51.827641
fraud-detection-using-machine-learning,https://github.com/awslabs/fraud-detection-using-machine-learning,NEW,Extended Research,2022-05-10 03:09:57,153.0,100.0,5.0,2019-05-17 17:12:46,2021-06-09 19:03:19,awslabs/fraud-detection-using-machine-learning,active,,2021-04-21 01:25:51.827641
fecon236,https://github.com/MathSci/fecon236,NEW,Extended Research,2022-05-07 21:43:16,89.0,44.0,2.0,2018-04-05 19:34:51,2019-01-11 08:07:56,MathSci/fecon236,inactive,,2021-04-21 01:25:51.827641
Fraud-detection-using-deep-learning,https://github.com/aaxwaz/Fraud-detection-using-deep-learning,NEW,Extended Research,2022-04-13 06:14:02,113.0,58.0,1.0,2017-06-18 12:35:24,2017-12-06 13:51:54,aaxwaz/Fraud-detection-using-deep-learning,inactive,,2021-04-21 01:25:51.827641
StockPredictionRNN,https://github.com/dzitkowskik/StockPredictionRNN,NEW,Extended Research,2022-05-12 08:44:11,567.0,221.0,2.0,2015-11-26 19:00:35,2016-05-21 15:51:22,dzitkowskik/StockPredictionRNN,inactive,,2021-04-21 01:25:51.827641
Fraud_Detector,https://github.com/kskk02/Fraud_Detector,NEW,Extended Research,2021-10-15 10:43:09,61.0,36.0,1.0,2014-07-03 20:52:51,2015-01-15 22:03:04,kskk02/Fraud_Detector,inactive,,2021-04-21 01:25:51.827641
Liquidity and Momentum,https://github.com/mrefermat/quant_finance,Various factors and portfolio constructions.,Extended Research,2022-02-11 00:43:55,34.0,21.0,1.0,2018-08-11 22:59:53,2019-11-12 04:49:01,mrefermat/quant_finance,inactive,,
FullFIX,https://github.com/maxim2266/FullFIX,NEW,Extended Research,2022-05-07 02:27:49,56.0,19.0,1.0,2015-08-26 09:44:55,2019-05-20 19:43:37,maxim2266/FullFIX,inactive,,2021-07-21 01:52:20.459625
Commodity,https://github.com/felipessalvatore/fin2vec/blob/master/src/Commodity2BR.ipynb,Commodity influence over Brazilian stocks.,Extended Research,,,,,,,felipessalvatore/fin2vec,,,
Life-cycle,https://github.com/atulram/Finance-and-Stocks/blob/master/CompanyLifeCycle.ipynb,Company life cycle.,Extended Research,2021-10-12 18:10:31,4.0,6.0,1.0,2019-01-19 18:16:47,2019-02-18 16:57:19,atulram/Finance-and-Stocks,inactive,,
Critical Transitions,https://github.com/ryanholbrook/critical-transitions,Detecting critical transitions in financial networks with topological data analysis.,Extended Research,2021-10-20 08:53:22,13.0,6.0,1.0,2019-01-22 10:59:50,2019-03-12 18:35:02,ryanholbrook/critical-transitions,inactive,,
A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market,https://github.com/SheikhRabiul/A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market,NEW,Extended Research,2022-05-09 08:39:59,63.0,20.0,1.0,2017-11-27 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
FraudDetection-Microservices,https://github.com/melofred/FraudDetection-Microservices,NEW,Extended Research,2022-04-25 23:37:00,89.0,53.0,1.0,2016-06-08 23:24:21,2017-01-18 17:52:01,melofred/FraudDetection-Microservices,inactive,,2021-04-21 01:25:51.827641
algo-trader-tool-suite,https://github.com/K0414/algo-trader-tool-suite,NEW,Extended Research,2022-05-04 19:30:52,66.0,54.0,1.0,2013-10-24 14:57:12,2013-10-24 15:01:56,K0414/algo-trader-tool-suite,inactive,,2021-04-21 01:25:51.827641
go-quantcup,https://github.com/rdingwall/go-quantcup,NEW,Extended Research,2022-01-24 18:05:03,79.0,36.0,1.0,2015-02-04 10:33:12,2015-06-11 12:50:09,rdingwall/go-quantcup,inactive,,2021-04-21 01:25:51.827641
Corporate Finance,https://github.com/SeanMcOwen/FinanceAndPython.com-CorporateFinance,Basic corporate finance.,Extended Research,2021-10-12 21:02:01,10.0,6.0,1.0,2017-09-09 03:35:24,2017-09-09 23:04:48,SeanMcOwen/FinanceAndPython.com-CorporateFinance,inactive,,
Bayesian Finance,https://github.com/marketneutral/alphatools/blob/master/notebooks/pymc3-minimal.ipynb,Notebook PyMC3 implementation.,Extended Research,2022-04-30 15:16:11,314.0,70.0,1.0,2018-08-28 14:45:00,2020-08-06 22:03:47,marketneutral/alphatools,active,,
exchange-core,https://github.com/mzheravin/exchange-core,NEW,Extended Research,2022-05-13 19:22:20,1307.0,587.0,11.0,2018-08-05 18:25:16,2022-05-14 19:22:32,mzheravin/exchange-core,active,,2021-04-21 01:25:51.827641
FlashFunk,https://github.com/HFQR/FlashFunk,NEW,Extended Research,2022-04-13 00:54:01,76.0,28.0,5.0,2020-09-18 13:14:37,2022-05-13 08:08:45,HFQR/FlashFunk,active,,2021-07-28 01:53:22.622209
Financial-Formulas-Library-.NET-Standard,https://github.com/srbrettle/Financial-Formulas-Library-.NET-Standard,NEW,Extended Research,2022-04-20 23:11:23,149.0,45.0,2.0,2018-09-01 17:43:37,2019-11-22 12:50:30,srbrettle/Financial-Formulas-Library-.NET-Standard,inactive,,2021-04-21 01:25:51.827641
fraud-detection-demo,https://github.com/afedulov/fraud-detection-demo,NEW,Extended Research,2022-05-10 16:12:51,248.0,117.0,2.0,2019-11-04 09:23:17,2022-05-10 16:12:47,afedulov/fraud-detection-demo,active,,2021-04-21 01:25:51.827641
neural-finance,https://github.com/Metnew/neural-finance,NEW,Extended Research,2022-03-15 02:02:18,67.0,29.0,1.0,2016-12-30 17:14:13,2017-06-26 22:42:06,Metnew/neural-finance,inactive,,2021-04-21 01:25:51.827641
Financial Economics,https://github.com/rsvp/fecon235/tree/master/nb,Financial Economics Models.,Extended Research,2022-05-13 15:06:35,777.0,292.0,2.0,2014-11-09 04:49:01,2018-12-03 16:30:28,rsvp/fecon235,inactive,,
UGFraud,https://github.com/safe-graph/UGFraud,NEW,Extended Research,2022-04-18 04:54:57,86.0,21.0,2.0,2020-06-01 22:34:14,2022-04-18 04:54:53,safe-graph/UGFraud,active,,2021-05-26 02:41:08.838631
wattnet-fx-trading,https://github.com/Zymrael/wattnet-fx-trading,NEW,Extended Research,2022-04-04 04:07:01,65.0,15.0,1.0,2019-09-13 08:44:27,2020-08-19 05:49:12,Zymrael/wattnet-fx-trading,active,,2021-04-21 01:25:51.827641
spartan,https://github.com/rigtorp/spartan,NEW,Extended Research,2022-05-07 02:25:45,191.0,63.0,1.0,2012-11-22 04:29:42,2015-10-31 03:46:06,rigtorp/spartan,inactive,,2021-04-21 01:25:51.827641
algotrading,https://github.com/ivopetiz/algotrading,NEW,Extended Research,2022-05-14 16:50:43,575.0,116.0,3.0,2018-07-10 22:10:41,2022-03-20 22:20:32,ivopetiz/algotrading,active,,2021-04-21 01:25:51.827641
Krypto-trading-bot,https://github.com/ctubio/Krypto-trading-bot,NEW,Extended Research,2022-05-14 22:12:32,2741.0,736.0,50.0,2017-06-13 20:15:54,2021-12-08 19:01:54,ctubio/Krypto-trading-bot,active,,2021-04-21 01:25:51.827641
crypto-database,https://github.com/ivopetiz/crypto-database,NEW,Extended Research,2022-05-11 16:13:21,71.0,29.0,2.0,2018-02-22 21:34:11,2019-10-04 13:06:18,ivopetiz/crypto-database,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,2021-12-26 07:02:16,16.0,14.0,1.0,2017-08-27 03:46:33,2017-08-26 04:26:04,lnsongxf/Applied_Computational_Economics_and_Finance,inactive,,
getIPIntel,https://github.com/blackdotsh/getIPIntel,NEW,Extended Research,2022-05-12 20:47:33,199.0,39.0,4.0,2015-10-02 21:40:50,2021-12-19 11:50:36,blackdotsh/getIPIntel,active,,2021-04-21 01:25:51.827641
InteractiveBrokers-Algo-System,https://github.com/rediar/InteractiveBrokers-Algo-System,NEW,Extended Research,2022-04-05 17:22:13,176.0,74.0,1.0,2018-01-21 03:09:41,2018-10-25 02:56:15,rediar/InteractiveBrokers-Algo-System,inactive,,2021-04-21 01:25:51.827641
anomaly-detection-resources,https://github.com/yzhao062/anomaly-detection-resources,NEW,Extended Research,2022-05-14 16:52:26,5874.0,1452.0,15.0,2018-05-16 20:02:54,2022-04-06 18:31:46,yzhao062/anomaly-detection-resources,active,,2022-01-05 01:58:48.216479
avellaneda-stoikov,https://github.com/fedecaccia/avellaneda-stoikov,NEW,Extended Research,2022-04-30 07:20:53,79.0,51.0,1.0,2020-05-02 22:20:21,2020-05-02 22:40:59,fedecaccia/avellaneda-stoikov,inactive,,2021-12-01 01:54:26.681376
Applied Corporate Finance,https://github.com/chenbowen184/Data_Science_in_Applied_Corporate_Finance,Studies the empirical behaviours in stock market.,Extended Research,2022-05-14 19:04:49,13.0,11.0,1.0,2018-01-29 05:14:52,2018-07-19 06:25:36,chen-bowen/Data_Science_in_Applied_Corporate_Finance,inactive,,
hummingbot_chinese,https://github.com/CoinAlpha/hummingbot_chinese,NEW,Extended Research,2022-05-14 18:15:18,326.0,69.0,5.0,2019-06-05 22:53:04,2022-03-29 03:03:27,CoinAlpha/hummingbot_chinese,active,,2021-04-21 01:25:51.827641
HFT-Pairs-Trading,https://github.com/sapphire921/HFT-Pairs-Trading,NEW,Extended Research,2022-05-04 14:10:24,61.0,22.0,2.0,2018-05-03 22:36:16,2019-02-27 17:41:22,sapphire921/HFT-Pairs-Trading,inactive,,2022-01-05 01:58:48.216479
HFT-Orderbook,https://github.com/Crypto-toolbox/HFT-Orderbook,NEW,Extended Research,2022-05-14 13:45:09,563.0,184.0,5.0,2017-07-26 08:42:19,2022-02-18 20:01:44,Crypto-toolbox/HFT-Orderbook,active,,2021-04-21 01:25:51.827641
system,https://github.com/BillRun/system,NEW,Extended Research,2022-05-09 20:41:36,90.0,54.0,10.0,2013-04-11 16:14:53,2021-11-13 22:34:09,BillRun/system,active,,2021-04-21 01:25:51.827641
math-finance-cheat-sheet,https://github.com/daleroberts/math-finance-cheat-sheet,NEW,Extended Research,2022-05-13 18:17:28,205.0,28.0,1.0,2014-05-02 00:19:01,2016-11-16 05:57:09,daleroberts/math-finance-cheat-sheet,inactive,,2021-04-21 01:25:51.827641
tectonicdb,https://github.com/0b01/tectonicdb,NEW,Extended Research,2022-05-14 07:02:41,442.0,73.0,13.0,2017-10-03 00:34:01,2021-10-28 07:05:17,0b01/tectonicdb,active,,2021-04-21 01:25:51.827641
sagemaker-graph-fraud-detection,https://github.com/awslabs/sagemaker-graph-fraud-detection,NEW,Extended Research,2022-05-12 18:07:57,57.0,22.0,3.0,2020-03-13 16:51:29,2021-05-18 19:20:28,awslabs/sagemaker-graph-fraud-detection,active,,2021-12-15 01:51:23.915128
Order_Imbalance_HFT,https://github.com/algosenses/Order_Imbalance_HFT,NEW,Extended Research,2022-04-28 08:50:27,55.0,23.0,0.0,2018-07-05 06:50:07,2018-11-06 01:54:05,algosenses/Order_Imbalance_HFT,inactive,,2022-03-30 02:25:09.963278
example-hftish,https://github.com/alpacahq/example-hftish,NEW,Extended Research,2022-05-12 15:53:34,486.0,191.0,3.0,2019-01-25 14:56:38,2019-10-25 02:16:27,alpacahq/example-hftish,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,2022-05-05 09:10:35,392.0,248.0,1.0,2017-06-09 13:58:13,2019-06-28 09:27:45,curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras,inactive,,2021-04-21 01:25:51.827641
fraud-detection-handbook,https://github.com/Fraud-Detection-Handbook/fraud-detection-handbook,NEW,Extended Research,2022-05-12 16:17:13,146.0,52.0,1.0,2021-05-03 11:33:12,2022-03-11 10:57:56,Fraud-Detection-Handbook/fraud-detection-handbook,active,,2021-07-28 01:53:22.622209
fraud-detection,https://github.com/yazanobeidi/fraud-detection,NEW,Extended Research,2022-05-05 16:06:34,76.0,33.0,1.0,2017-08-04 15:03:47,2017-08-05 15:38:45,yazanobeidi/fraud-detection,inactive,,2021-04-21 01:25:51.827641
gym-fx,https://github.com/harveybc/gym-fx,NEW,Extended Research,2022-04-12 17:05:30,171.0,46.0,1.0,2017-02-21 21:04:09,2020-06-03 21:03:14,harveybc/gym-fx,active,,2021-04-21 01:25:51.827641
SumZeroTrading,https://github.com/rterp/SumZeroTrading,NEW,Extended Research,2022-03-24 14:46:50,136.0,47.0,1.0,2016-01-19 05:43:31,2018-08-30 22:44:52,rterp/SumZeroTrading,inactive,,2021-04-21 01:25:51.827641
kafka-fraud-detector,https://github.com/florimondmanca/kafka-fraud-detector,NEW,Extended Research,2022-04-14 23:45:14,71.0,48.0,3.0,2018-09-13 17:36:49,2019-04-29 22:04:23,florimondmanca/kafka-fraud-detector,inactive,,2021-04-21 01:25:51.827641
Coiner,https://github.com/jihoonerd/Coiner,NEW,Extended Research,2022-05-11 14:22:48,51.0,22.0,1.0,2017-09-26 04:14:36,2018-01-01 13:13:21,jihoonerd/Coiner,inactive,,2021-04-21 01:25:51.827641
PE-HFT-Python,https://github.com/PortfolioEffect/PE-HFT-Python,NEW,Extended Research,2022-05-08 08:13:42,54.0,39.0,2.0,2015-11-11 00:58:39,2017-08-08 02:06:15,PortfolioEffect/PE-HFT-Python,inactive,,2021-07-07 01:48:46.755450
HFCrypto,https://github.com/PsiPhiTheta/HFCrypto,NEW,Extended Research,2022-05-04 14:19:29,51.0,23.0,3.0,2017-01-28 12:35:17,2017-11-01 22:15:32,PsiPhiTheta/HFCrypto,inactive,,2022-03-02 02:04:51.616795
roq-api,https://github.com/roq-trading/roq-api,NEW,Extended Research,2022-05-11 09:17:44,250.0,68.0,2.0,2018-03-05 08:37:57,2022-05-14 04:37:59,roq-trading/roq-api,active,,2021-04-21 01:25:51.827641
awesome-fraud-detection-papers,https://github.com/benedekrozemberczki/awesome-fraud-detection-papers,NEW,Extended Research,2022-05-13 16:42:17,1110.0,227.0,5.0,2019-05-27 10:23:22,2022-03-02 19:16:47,benedekrozemberczki/awesome-fraud-detection-papers,active,,2021-04-21 01:25:51.827641
beymani,https://github.com/pranab/beymani,NEW,Extended Research,2022-02-10 09:38:33,126.0,62.0,0.0,2012-01-04 07:22:01,2022-04-26 18:46:04,pranab/beymani,active,,2021-04-21 01:25:51.827641
MStream,https://github.com/Stream-AD/MStream,NEW,Extended Research,2022-05-09 03:15:21,69.0,17.0,4.0,2019-12-09 09:12:54,2021-04-11 02:20:30,Stream-AD/MStream,active,,2021-07-14 01:45:09.733861
Trading-Bot,https://github.com/RaidasGrisk/Trading-Bot,NEW,Extended Research,2022-04-26 04:49:48,87.0,34.0,1.0,2017-11-27 21:20:40,2018-01-22 21:00:57,RaidasGrisk/Trading-Bot,inactive,,2021-04-21 01:25:51.827641
Market Crash Prediction,https://github.com/sarachmax/MarketCrashes_Prediction/blob/master/LPPL_Comparasion.ipynb,Predicting market crashes using an LPPL model.,Extended Research,2021-10-12 18:11:14,2.0,4.0,1.0,2019-01-24 13:37:45,2019-02-13 16:48:00,sarachmax/MarketCrashes_Prediction,inactive,,
graph-fraud-detection-papers,https://github.com/safe-graph/graph-fraud-detection-papers,NEW,Extended Research,2022-05-11 01:59:10,653.0,126.0,4.0,2019-11-21 05:39:23,2022-04-18 04:51:59,safe-graph/graph-fraud-detection-papers,active,,2021-04-21 01:25:51.827641
FraudDetection,https://github.com/JarFraud/FraudDetection,NEW,Extended Research,2022-05-11 19:49:20,56.0,45.0,2.0,2019-10-07 03:02:28,2021-11-11 01:57:34,JarFraud/FraudDetection,active,,2022-03-30 02:25:09.963278
HighFrequencyTradingSVMs,https://github.com/alexdai186/HighFrequencyTradingSVMs,NEW,Extended Research,2022-05-04 13:46:46,55.0,31.0,1.0,2019-01-10 22:29:11,2019-02-24 05:30:19,alexdai186/HighFrequencyTradingSVMs,inactive,,2022-03-30 02:25:09.963278
Finance Graph Theory,https://github.com/AvijitGhosh82/Finance_Graph_Theory,Modelling Contentedness of Firms in Financial Markets with Heterogeneous Agents.,Extended Research,2021-10-12 18:07:17,18.0,8.0,3.0,2018-08-02 02:48:24,2019-03-16 18:39:38,evijit/Finance_Graph_Theory,inactive,,
performance,https://github.com/alexkachanov/performance,NEW,Extended Research,2022-04-17 14:50:47,62.0,26.0,1.0,2017-11-28 04:10:43,2022-01-19 10:52:06,alexkachanov/performance,active,,2021-11-10 01:47:27.749840
gamma-ray,https://github.com/hello2all/gamma-ray,NEW,Extended Research,2022-05-13 05:23:39,169.0,52.0,3.0,2020-12-28 19:46:09,2022-02-07 09:00:03,hello2all/gamma-ray,active,,2021-11-10 01:47:27.749840
awesome-systematic-trading,https://github.com/wangzhe3224/awesome-systematic-trading,NEW,Extended Research,2022-05-14 12:24:29,150.0,37.0,2.0,2021-12-11 17:57:13,2022-05-02 16:58:38,wangzhe3224/awesome-systematic-trading,active,,2022-01-12 01:57:29.001766
HFTrader,https://github.com/DrAshBooth/HFTrader,NEW,Extended Research,2022-05-04 14:05:51,76.0,47.0,0.0,2012-12-03 13:57:19,2012-12-12 17:17:09,DrAshBooth/HFTrader,inactive,,2021-04-21 01:25:51.827641
bot18,https://github.com/carlos8f/bot18,NEW,Extended Research,2022-04-09 05:24:36,182.0,33.0,2.0,2018-05-23 14:22:25,2018-10-17 08:06:21,carlos8f/bot18,inactive,,2021-04-21 01:25:51.827641
Q-Fin,https://github.com/RomanMichaelPaolucci/Q-Fin,NEW,Extended Research,2022-05-13 03:17:50,107.0,22.0,1.0,2021-04-21 13:29:51,2021-06-07 16:23:33,RomanMichaelPaolucci/Q-Fin,active,,2021-06-02 04:27:12.212333
roq-samples,https://github.com/roq-trading/roq-samples,NEW,Extended Research,2022-05-04 14:23:27,96.0,36.0,3.0,2018-03-27 04:19:09,2022-05-13 16:18:35,roq-trading/roq-samples,active,,2021-05-05 01:50:21.293278
High Frequency,https://github.com/cswaney/prickle,A Python toolkit for high-frequency trade research.,Extended Research,2022-05-04 14:12:44,32.0,18.0,2.0,2016-07-06 20:32:21,2018-06-09 10:53:51,cswaney/prickle,inactive,,
freqtrade_bot,https://github.com/michael-fourie/freqtrade_bot,NEW,Extended Research,2022-05-04 14:25:13,83.0,33.0,1.0,2020-12-21 00:14:25,2021-01-07 19:52:54,michael-fourie/freqtrade_bot,active,,2021-04-21 01:25:51.827641
TalkingData,https://github.com/CuteChibiko/TalkingData,NEW,Extended Research,2021-12-18 04:38:33,101.0,38.0,1.0,2018-05-09 15:17:45,2018-05-11 01:32:26,CuteChibiko/TalkingData,inactive,,2021-04-21 01:25:51.827641
finmath-lib,https://github.com/finmath/finmath-lib,NEW,Extended Research,2022-04-28 05:12:24,367.0,143.0,16.0,2013-03-17 10:00:22,2022-01-27 10:47:02,finmath/finmath-lib,active,,2021-04-21 01:25:51.827641
kungfu,https://github.com/kungfu-origin/kungfu,NEW,Extended Research,2022-05-14 22:22:21,2636.0,938.0,7.0,2017-11-15 06:54:01,2020-06-03 12:04:41,kungfu-origin/kungfu,active,,2021-04-21 01:25:51.827641
fingerprintjs,https://github.com/fingerprintjs/fingerprintjs,NEW,Extended Research,2022-05-14 18:31:04,16591.0,1907.0,71.0,2015-02-11 08:49:54,2022-04-17 04:42:13,fingerprintjs/fingerprintjs,active,,2021-04-21 01:25:51.827641
flow,https://github.com/yazanobeidi/flow,NEW,Extended Research,2022-05-13 18:20:17,55.0,20.0,1.0,2016-05-11 20:38:31,2016-05-14 16:02:05,yazanobeidi/flow,inactive,,2022-03-02 02:04:51.616795
tribeca,https://github.com/michaelgrosner/tribeca,NEW,Extended Research,2022-05-13 02:04:15,3709.0,926.0,22.0,2015-07-07 18:40:45,2018-02-26 18:01:13,michaelgrosner/tribeca,inactive,,2021-04-21 01:25:51.827641
NLP Finance Papers,https://github.com/chenbowen184/Research_Documents_Curation_with_NLP,Curating quantitative finance papers using machine learning.,Extended Research,2021-10-12 20:29:35,9.0,12.0,1.0,2018-10-11 20:32:37,2018-12-24 23:27:55,chen-bowen/Research_Documents_Curation_with_NLP,inactive,,
Chronicle-Accelerate,https://github.com/OpenHFT/Chronicle-Accelerate,NEW,Extended Research,2021-11-29 10:46:35,57.0,13.0,7.0,2018-01-24 08:52:53,2018-08-11 12:11:43,OpenHFT/Chronicle-Accelerate,inactive,,2021-04-21 01:25:51.827641
talkingdata-adtracking-fraud-detection,https://github.com/flowlight0/talkingdata-adtracking-fraud-detection,NEW,Extended Research,2022-05-13 06:56:30,209.0,56.0,1.0,2018-03-21 11:27:31,2018-06-10 15:30:50,flowlight0/talkingdata-adtracking-fraud-detection,inactive,,2021-04-21 01:25:51.827641
Fraud_Detection_Techniques,https://github.com/wmlba/Fraud_Detection_Techniques,NEW,Extended Research,2022-04-24 19:28:28,70.0,41.0,1.0,2019-02-14 02:27:13,2020-06-14 23:36:47,wmlba/Fraud_Detection_Techniques,active,,2021-04-21 01:25:51.827641
Simulation,https://github.com/chenbowen184/Computational_Finance,Investigating simulations as part of computational finance.,Extended Research,2022-03-05 06:44:43,21.0,15.0,1.0,2018-01-29 05:01:52,2018-08-02 05:56:49,chen-bowen/Computational_Finance,inactive,,
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,2022-05-12 11:52:04,296.0,93.0,2.0,2020-07-05 07:59:38,2022-01-24 16:32:58,TheSnowGuru/PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop,active,,2021-04-21 01:25:51.827641
M&A,https://github.com/atulram/Finance-and-Stocks,Mergers and Acquisitions.,Extended Research,2021-10-12 18:10:31,4.0,6.0,1.0,2019-01-19 18:16:47,2019-02-18 16:57:19,atulram/Finance-and-Stocks,inactive,,
2018-Kaggle-AdTrackingFraud,https://github.com/ShawnyXiao/2018-Kaggle-AdTrackingFraud,NEW,Extended Research,2022-05-04 13:59:12,75.0,24.0,1.0,2018-05-08 09:29:46,2019-01-12 07:57:33,ShawnyXiao/2018-Kaggle-AdTrackingFraud,inactive,,2021-04-21 01:25:51.827641
Currency PCA,https://github.com/shanemulqueen/python-finance-pca/blob/master/FX_spots_w_PCA.ipynb,Forex spots PCA.,Extended Research,2021-10-12 18:07:34,4.0,3.0,1.0,2019-03-12 21:11:29,2019-03-12 22:09:10,shanemulqueen/python-finance-pca,inactive,,
High-Frequency-Trading-Model-with-IB,https://github.com/jamesmawm/High-Frequency-Trading-Model-with-IB,NEW,Extended Research,2022-05-15 01:14:31,1986.0,581.0,2.0,2014-05-18 19:20:13,2019-06-21 14:58:07,jamesmawm/High-Frequency-Trading-Model-with-IB,inactive,,2021-04-21 01:25:51.827641
tradingrrl,https://github.com/darden1/tradingrrl,NEW,Extended Research,2022-03-17 14:52:02,61.0,34.0,1.0,2017-03-05 07:20:56,2018-11-14 13:19:52,darden1/tradingrrl,inactive,,2021-04-21 01:25:51.827641
HFT,https://github.com/rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy,High frequency trading.,Extended Research,2022-05-14 17:01:39,1009.0,433.0,1.0,2016-07-21 05:14:14,2017-02-14 16:47:25,rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy,inactive,,
ITCH,https://github.com/martinobdl/ITCH,NEW,Extended Research,2022-05-12 15:49:45,121.0,35.0,3.0,2019-03-09 18:20:12,2021-10-22 23:41:53,martinobdl/ITCH,active,,2021-04-21 01:25:51.827641
OpenHFT,https://github.com/OpenHFT/OpenHFT,NEW,Extended Research,2022-05-12 16:25:28,522.0,164.0,34.0,2013-12-26 10:22:00,2022-05-14 03:49:25,OpenHFT/OpenHFT,active,,2021-04-21 01:25:51.827641
go-hft-orderbook,https://github.com/alexey-ernest/go-hft-orderbook,NEW,Extended Research,2022-05-05 13:12:32,90.0,23.0,1.0,2019-12-02 18:05:00,2021-03-04 02:16:45,alexey-ernest/go-hft-orderbook,active,,2021-07-28 01:53:22.622209
PyLimitOrderBook,https://github.com/abcabhishek/PyLimitOrderBook,NEW,Extended Research,2022-04-04 04:05:38,57.0,33.0,1.0,2018-01-03 05:56:23,2018-01-03 06:19:23,abcabhishek/PyLimitOrderBook,inactive,,2021-11-10 01:47:27.749840
MIDAS,https://github.com/Stream-AD/MIDAS,NEW,Extended Research,2022-05-13 07:14:19,665.0,82.0,3.0,2019-10-23 03:50:50,2022-01-13 22:27:09,Stream-AD/MIDAS,active,,2021-04-21 01:25:51.827641
cashflows,https://github.com/jdvelasq/cashflows,NEW,Extended Research,2022-05-07 18:44:27,51.0,23.0,2.0,2016-11-23 22:47:40,2021-07-22 22:00:46,jdvelasq/cashflows,active,,2022-03-30 02:25:09.963278
Backtests,https://github.com/AlgoTraders/stock-analysis-engine,Trading data and algorithms.,Extended Research,2022-05-12 08:27:57,782.0,222.0,3.0,2018-09-16 20:00:36,2020-09-05 13:01:05,AlgoTraders/stock-analysis-engine,active,,
FX-Trading-with-Python-and-Oanda,https://github.com/anthonyng2/FX-Trading-with-Python-and-Oanda,NEW,Extended Research,2022-04-26 17:03:22,58.0,44.0,1.0,2017-02-23 07:48:12,2017-08-14 03:21:30,anthonyng2/FX-Trading-with-Python-and-Oanda,inactive,,2021-04-21 01:25:51.827641
wtpy,https://github.com/wondertrader/wtpy,NEW,Extended Research,2022-05-12 04:51:53,169.0,72.0,7.0,2020-06-18 01:43:25,2022-03-28 14:04:21,wondertrader/wtpy,active,,2021-04-21 01:25:51.827641
hft,https://github.com/nickhuangxinyu/hft,NEW,Extended Research,2022-05-04 14:02:20,241.0,108.0,2.0,2019-03-12 14:57:01,2022-04-20 09:56:09,nickhuangxinyu/hft,active,,2021-04-21 01:25:51.827641
avellaneda-stoikov,https://github.com/ragoragino/avellaneda-stoikov,NEW,Extended Research,2022-05-04 14:41:44,67.0,25.0,1.0,2017-10-21 20:53:00,2017-10-30 18:23:27,ragoragino/avellaneda-stoikov,inactive,,2021-04-21 01:25:51.827641
448Project,https://github.com/HujiaYuYoyo/448Project,NEW,Extended Research,2022-05-04 14:00:52,81.0,50.0,4.0,2018-04-14 21:19:21,2018-06-10 09:29:37,HujiaYuYoyo/448Project,inactive,,2021-04-21 01:25:51.827641
Deep Portfolio,https://github.com/DLColumbia/DL_forFinance,Deep learning for finance Predict volume of bonds.,Extended Research,2021-12-15 17:47:56,34.0,23.0,2.0,2018-05-08 19:34:17,2018-05-09 15:39:25,DLColumbia/DL_forFinance,inactive,,
DGFraud-TF2,https://github.com/safe-graph/DGFraud-TF2,NEW,Extended Research,2022-05-09 08:26:27,61.0,20.0,4.0,2021-05-13 18:47:01,2022-04-20 21:36:35,safe-graph/DGFraud-TF2,active,,2022-03-09 02:05:48.143518
ReactiveTraderCloud,https://github.com/AdaptiveConsulting/ReactiveTraderCloud,NEW,Extended Research,2022-05-14 07:41:55,1695.0,542.0,88.0,2015-11-13 19:24:11,2022-04-21 08:35:26,AdaptiveConsulting/ReactiveTraderCloud,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,2022-03-16 05:13:23,58.0,30.0,1.0,2016-06-14 13:50:39,2018-04-16 08:48:10,chenhaotian/High-Frequency-Trading-Simulation-System,inactive,,2021-04-21 01:25:51.827641
HFT-CNN,https://github.com/ShimShim46/HFT-CNN,NEW,Extended Research,2022-05-03 15:05:47,96.0,23.0,1.0,2018-08-18 06:39:32,2018-11-09 02:29:00,ShimShim46/HFT-CNN,inactive,,2021-04-21 01:25:51.827641
Economic Foundations,https://github.com/SeanMcOwen/FinanceAndPython.com-EconomicFoundations,Basic economic models.,Extended Research,2021-10-12 20:55:18,3.0,4.0,1.0,2017-05-25 02:27:36,2017-06-30 03:53:59,SeanMcOwen/FinanceAndPython.com-EconomicFoundations,inactive,,
fraud-detection-papers,https://github.com/IPL/fraud-detection-papers,NEW,Extended Research,2022-05-06 07:59:24,176.0,40.0,1.0,2017-09-29 02:47:54,2021-08-04 08:24:45,IPL/fraud-detection-papers,active,,2021-04-21 01:25:51.827641
ml-fraud-detection,https://github.com/georgymh/ml-fraud-detection,NEW,Extended Research,2022-05-10 12:26:03,148.0,101.0,2.0,2017-04-27 01:48:35,2018-01-31 21:17:26,georgymh/ml-fraud-detection,inactive,,2021-04-21 01:25:51.827641
wondertrader,https://github.com/wondertrader/wondertrader,NEW,Extended Research,2022-05-15 01:04:28,823.0,196.0,4.0,2020-03-30 05:43:52,2022-03-28 14:02:53,wondertrader/wondertrader,active,,2021-04-21 01:25:51.827641
Bayesian Finance I,https://github.com/AlexIoannides/pymc-stochastic-process/blob/master/bayes_stoch_proc_calib.ipynb,Stochastic Process Calibration using Bayesian Inference & Probabilistic Programs.,Extended Research,2022-04-20 17:31:01,33.0,7.0,0.0,2019-01-04 12:30:41,2019-02-18 09:55:21,AlexIoannides/pymc-stochastic-process,inactive,,
DGFraud,https://github.com/safe-graph/DGFraud,NEW,Extended Research,2022-05-11 02:55:03,440.0,122.0,4.0,2019-11-22 14:02:36,2022-04-20 21:39:08,safe-graph/DGFraud,active,,2021-04-21 01:25:51.827641
Mathematical Finance,https://github.com/Auquan/Tutorials,Notebooks for math and financial tutorials.,Extended Research,2022-05-14 04:46:20,754.0,495.0,9.0,2017-01-21 11:24:18,2020-08-01 17:03:32,Auquan/Tutorials,active,,
FX-1-Minute-Data,https://github.com/philipperemy/FX-1-Minute-Data,NEW,Extended Research,2022-05-13 20:43:01,330.0,125.0,4.0,2017-05-22 03:24:35,2022-01-24 08:43:32,philipperemy/FX-1-Minute-Data,active,,2021-04-21 01:25:51.827641
TradingStrategies,https://github.com/SoftAlgoTrade/TradingStrategies,NEW,Extended Research,2022-03-16 07:06:05,132.0,60.0,1.0,2017-05-22 20:46:35,2017-10-29 11:09:37,SoftAlgoTrade/TradingStrategies,inactive,,2021-04-21 01:25:51.827641
OrderImbalance,https://github.com/shaileshkakkar/OrderImbalance,NEW,Extended Research,2022-05-08 15:47:25,71.0,49.0,1.0,2018-06-04 16:35:40,2018-06-04 16:49:26,shaileshkakkar/OrderImbalance,inactive,,2021-11-10 01:47:27.749840
Behavioural Economics,https://github.com/pcmichaud/notebooks,Behavioural Economics and Finance Python Notebooks.,Extended Research,2021-11-21 02:20:17,11.0,7.0,1.0,2018-12-20 00:21:38,2019-03-26 11:51:46,pcmichaud/notebooks,inactive,,
HFT-price-prediction,https://github.com/hzjken/HFT-price-prediction,NEW,Extended Research,2022-05-04 14:26:04,60.0,40.0,1.0,2019-09-26 12:13:55,2019-09-28 05:45:48,hzjken/HFT-price-prediction,inactive,,2022-03-02 02:04:51.616795
hft,https://github.com/sbenzev/hft,NEW,Extended Research,2022-05-04 13:47:04,50.0,82.0,1.0,2012-11-29 03:55:33,2012-11-10 23:40:29,sbenzev/hft,inactive,,2022-03-30 02:25:09.963278
math-php,https://github.com/markrogoyski/math-php,NEW,Extended Research,2022-05-10 22:42:28,2083.0,215.0,17.0,2016-04-03 17:57:14,2022-04-10 05:15:37,markrogoyski/math-php,active,,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,,,
realtime-fraud-detection-with-gnn-on-dgl,https://github.com/awslabs/realtime-fraud-detection-with-gnn-on-dgl,NEW,Extended Research,2022-05-13 02:39:03,92.0,23.0,9.0,2021-03-11 05:05:35,2022-05-12 02:37:15,awslabs/realtime-fraud-detection-with-gnn-on-dgl,active,,2021-11-10 01:47:27.749840
Empirical-Method-in-Finance,https://github.com/yitaohu88/Empirical-Method-in-Finance,NEW,Factor and Risk Analysis,2022-01-25 14:47:20,7.0,12.0,1.0,2021-01-13 23:48:30,2021-01-13 23:57:32,yitaohu88/Empirical-Method-in-Finance,active,,2021-12-15 01:51:30.275584
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,2021-12-05 21:31:20,33.0,20.0,1.0,2016-05-10 11:03:48,2016-05-17 03:44:56,RJT1990/Active-Portfolio-Management-Notes,inactive,,
Factor Analysis,https://github.com/alpha-miner/alpha-mind/tree/master/notebooks,Factor strategy notebooks.,Factor and Risk Analysis,2022-05-09 18:37:59,192.0,68.0,5.0,2017-05-01 07:36:54,2021-06-26 07:13:21,alpha-miner/alpha-mind,active,,
stock-market-analysis-using-python-numpy-pandas,https://github.com/Ashishsinha10/stock-market-analysis-using-python-numpy-pandas,NEW,Factor and Risk Analysis,2022-04-09 23:22:00,12.0,7.0,1.0,2018-04-10 05:15:49,2018-04-10 05:28:54,Ashishsinha10/stock-market-analysis-using-python-numpy-pandas,inactive,,23:57.7
Stock-Prediction,https://github.com/Ronak-59/Stock-Prediction,NEW,Factor and Risk Analysis,2022-05-11 11:22:26,157.0,80.0,2.0,2018-03-18 04:54:45,2020-02-28 11:43:07,Ronak-59/Stock-Prediction,inactive,,37:06.3
Quant Finance,https://github.com/mrefermat/quant_finance,General quant repository.,Factor and Risk Analysis,2022-02-11 00:43:55,34.0,21.0,1.0,2018-08-11 22:59:53,2019-11-12 04:49:01,mrefermat/quant_finance,inactive,,
-L-,https://github.com/jettbrains/-L-,NEW,Factor and Risk Analysis,2022-05-10 19:13:15,15.0,30.0,1.0,2019-10-28 21:50:26,2019-10-28 21:51:19,jettbrains/-L-,inactive,,23:57.7
simulate,https://github.com/leolle/simulate,NEW,Factor and Risk Analysis,2022-02-12 00:34:16,14.0,4.0,1.0,2017-06-04 15:18:21,2018-11-11 14:03:40,leolle/simulate,inactive,,23:57.7
VaR,https://github.com/willb/var-notebook/blob/master/var-notebook/var-pdfs.ipynb,Value-at-risk calculations.,Factor and Risk Analysis,2021-10-12 20:59:24,11.0,9.0,1.0,2016-11-15 19:24:17,2017-01-14 21:19:30,willb/var-notebook,inactive,,
Python for Finance,https://github.com/yhilpisch/py4fi/tree/master/jupyter36,Various financial notebooks.,Factor and Risk Analysis,2022-05-13 13:57:54,1459.0,852.0,1.0,2014-12-15 11:23:34,2018-07-10 06:38:12,yhilpisch/py4fi,inactive,,
Statistical Finance,https://github.com/mrefermat/FinancePhD/tree/master/FinancialExperiments,Various financial experiments.,Factor and Risk Analysis,2021-10-29 18:01:53,23.0,21.0,1.0,2015-10-04 09:10:54,2020-03-28 18:33:58,mrefermat/FinancePhD,inactive,,
AlphaTrading,https://github.com/jerryxyx/AlphaTrading,NEW,Factor and Risk Analysis,2022-05-12 09:03:54,193.0,98.0,1.0,2018-05-18 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,2021-10-12 21:00:35,4.0,6.0,1.0,2018-03-13 07:39:20,2018-03-13 07:42:36,garvit-kudesia91/factor_analysis,inactive,,
Machine_learning_In_Finance,https://github.com/chaudharigauravi/Machine_learning_In_Finance,NEW,Factor and Risk Analysis,2022-02-13 10:00:32,11.0,4.0,1.0,2019-08-03 04:04:51,2019-08-03 04:05:32,chaudharigauravi/Machine_learning_In_Finance,inactive,,23:57.7
Long-Term-Stock-Price-Growth-Prediction-using-NLP-on-10-K-Financial-Reports,https://github.com/deepak223098/Long-Term-Stock-Price-Growth-Prediction-using-NLP-on-10-K-Financial-Reports,NEW,Factor and Risk Analysis,2022-04-27 02:39:19,16.0,8.0,1.0,2019-12-21 07:14:30,2020-07-06 11:21:13,deepak223098/Long-Term-Stock-Price-Growth-Prediction-using-NLP-on-10-K-Financial-Reports,active,,2021-11-10 01:47:36.099011
Performance Analysis,https://github.com/quantopian/alphalens,Performance analysis of predictive (alpha) stock factors.,Factor and Risk Analysis,2022-05-14 16:59:17,2275.0,886.0,16.0,2016-06-03 21:49:15,2020-04-27 18:40:41,quantopian/alphalens,inactive,,
Risk and Return,https://github.com/PyDataBlog/Python-for-Data-Science/tree/master/Tutorials,Riskiness of portfolios and assets.,Factor and Risk Analysis,2022-05-05 08:19:52,158.0,69.0,2.0,2017-09-12 13:35:09,2020-08-06 12:35:44,PyDataBlog/Python-for-Data-Science,active,,
SafetyAndTrade,https://github.com/vrdcas/SafetyAndTrade,NEW,Factor and Risk Analysis,2022-01-12 02:27:03,7.0,1.0,1.0,2020-04-11 20:18:03,2020-04-12 17:00:36,vrdcas/SafetyAndTrade,inactive,,2021-11-10 01:47:36.099011
Convex Optimisation,https://github.com/ssanderson/convex-optimization-for-finance/blob/master/notebooks/Main.ipynb,Convex Optimization for Finance.,Factor and Risk Analysis,2022-03-11 07:42:34,20.0,18.0,1.0,2018-06-26 20:36:47,2019-10-22 21:56:46,ssanderson/convex-optimization-for-finance,inactive,,
CAPM,https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%202%2C%20CAPM.ipynb,Expected returns using CAPM.,Factor and Risk Analysis,2021-12-05 21:31:20,33.0,20.0,1.0,2016-05-10 11:03:48,2016-05-17 03:44:56,RJT1990/Active-Portfolio-Management-Notes,inactive,,
VaR GaN,https://github.com/hamaadshah/market_risk_gan_keras,Estimate Value-at-Risk for market risk management using Keras and TensorFlow.,Factor and Risk Analysis,2022-04-25 22:43:57,53.0,33.0,1.0,2018-08-06 16:09:44,2020-11-22 19:02:07,hamaadshah/market_risk_gan_tensorflow,active,,
Various Risk Measures,https://github.com/Jorgencr/Alternative-and-Responsible-Investments/blob/master/Final_masterfile.ipynb,Risk measures and factors for alternative and responsible investments.,Factor and Risk Analysis,2022-01-08 12:08:55,6.0,6.0,1.0,2017-08-07 14:44:32,2017-08-08 22:52:11,Jorgencr/Alternative-and-Responsible-Investments,inactive,,
Quantropy,https://github.com/AlainDaccache/Quantropy,NEW,Factor and Risk Analysis,2022-05-13 16:29:17,46.0,7.0,2.0,2020-06-13 15:34:25,2021-03-15 01:49:23,AlainDaccache/Quantropy,active,,2021-05-05 01:50:30.163258
Pyfolio,https://github.com/quantopian/pyfolio,Portfolio and risk analytics in Python.,Factor and Risk Analysis,2022-05-14 22:42:01,4382.0,1425.0,40.0,2015-06-01 15:31:39,2020-02-28 17:30:19,quantopian/pyfolio,inactive,,
TradeFinexLive,https://github.com/XinFinOrg/TradeFinexLive,NEW,Factor and Risk Analysis,2022-04-29 23:39:31,9.0,16.0,8.0,2018-03-21 10:05:22,2021-08-16 11:40:03,XinFinOrg/TradeFinexLive,active,,23:57.7
Vasicek,https://github.com/RobinsonGarcia/fixed-income/blob/master/2.0%20Vasicek%20-%20example.ipynb,Bootstrapping and interpolation.,Fixed Income,2021-10-12 20:27:27,4.0,4.0,1.0,2018-07-18 19:26:54,2018-07-18 19:34:48,RobinsonGarcia/fixed-income,inactive,,
MagentoExtensions,https://github.com/5mehulhelp5/MagentoExtensions,NEW,Fixed Income,2022-05-11 22:47:56,114.0,108.0,2.0,2014-07-03 05:45:54,2022-04-01 03:43:35,5mehulhelp5/MagentoExtensions,active,,24:33.4
R-fixedincome,https://github.com/wilsonfreitas/R-fixedincome,NEW,Fixed Income,2022-05-04 22:12:14,30.0,20.0,1.0,2013-09-16 01:10:50,2022-05-11 08:44:58,wilsonfreitas/R-fixedincome,active,,2022-02-24 01:59:22.777299
Binomial Tree,https://github.com/hy-lei/math-finance-exercise,Utility functions in fixed income securities.,Fixed Income,2021-12-03 20:48:32,3.0,3.0,1.0,2019-02-02 08:44:14,2019-05-03 17:16:52,hy-lei/math-finance-toolbox,inactive,,
augmented-finance-protocol,https://github.com/augmented-finance/augmented-finance-protocol,NEW,Fixed Income,2022-04-25 12:24:22,29.0,9.0,25.0,2021-03-27 11:01:43,2022-02-16 15:58:35,augmented-finance/augmented-finance-protocol,active,,2022-01-27 01:48:43.220405
rating_history,https://github.com/govwiki/rating_history,NEW,Fixed Income,2022-05-02 21:06:57,32.0,17.0,1.0,2017-11-23 22:52:14,2017-12-03 20:42:49,govwiki/rating_history,inactive,,24:33.4
woe,https://github.com/boredbird/woe,NEW,Fixed Income,2022-04-15 08:22:16,237.0,100.0,1.0,2017-09-11 07:15:04,2018-03-01 10:45:40,boredbird/woe,inactive,,24:33.4
DROP-Fixed-Income,https://github.com/lakshmiDRIP/DROP-Fixed-Income,NEW,Fixed Income,2021-12-31 16:15:39,22.0,10.0,1.0,2017-08-10 20:58:18,2018-09-26 19:21:02,lakshmiDRIP/DROP-Fixed-Income,inactive,,2021-06-17 01:50:56.302719
market-data,https://github.com/kriasoft/market-data,NEW,Fixed Income,2022-01-01 13:12:06,27.0,21.0,1.0,2012-12-07 13:42:48,2012-12-15 12:10:06,kriasoft/market-data,inactive,,24:33.4
punk.protocol,https://github.com/PunkFinance/punk.protocol,NEW,Fixed Income,2022-04-15 01:17:40,19.0,9.0,2.0,2021-04-29 08:39:42,2021-08-13 11:53:11,PunkFinance/punk.protocol,active,,2021-11-04 01:49:46.780625
Corporate Bonds,https://github.com/ishank011/gs-quantify-bond-prediction,Predicting the buying and selling volume of the corporate bonds.,Fixed Income,2021-12-03 20:48:38,12.0,7.0,1.0,2017-09-27 19:57:13,2017-09-27 20:00:29,ishank011/gs-quantify-bond-prediction,inactive,,
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,2022-05-14 19:16:08,515.0,243.0,4.0,2019-11-15 08:51:40,2021-01-21 07:56:08,PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original,active,4.0,39:24.6
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,2022-05-13 12:19:50,1187.0,105.0,8.0,2018-08-20 03:13:31,2019-05-23 14:40:50,kkyon/botflow,inactive,2.0,39:24.6
fin-ml,https://github.com/tatsath/fin-ml,accompanying materials for book [Machine Learning and Data Science Blueprints for Finance](https://www.amazon.com/Machine-Learning-Science-Blueprints-Finance/dp/1492073059) on top of basic machine learning models i.e. nlp/reinforcement learning/supervised & unsupervised learning it covers wider topics including robo-advisors/fraud detection/loan default/derivative pricing/yield curve construction.,Other Models,2022-05-14 09:36:16,284.0,181.0,2.0,2020-05-10 00:25:56,2021-12-25 21:44:47,tatsath/fin-ml,active,4.0,39:24.6
financial-machine-learning,https://github.com/firmai/financial-machine-learning,NEW,Other Models,2022-05-14 19:43:21,2546.0,766.0,6.0,2019-03-21 21:00:35,2022-05-13 03:06:15,firmai/financial-machine-learning,active,,2021-12-23 01:53:55.850276
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,2022-05-10 05:12:43,307.0,120.0,1.0,2017-08-30 06:14:59,2019-10-29 08:14:39,PyPatel/Machine-Learning-and-AI-in-Trading,inactive,2.0,39:24.6
mosquito,https://github.com/miro-ka/mosquito,base framework trading bot for crypto. Stores data in local mongodb instance and supports backtest and live trading on [poloniex](https://poloniex.com/) and [bittrex](https://bittrex.com/) which are 12-15th ranked crypto exchanges by volume. Leverage [talib](https://github.com/mrjbq7/ta-lib) for ta data and [plotly](https://github.com/plotly/plotly.py) for visualization,Other Models,2022-05-04 22:42:51,249.0,52.0,2.0,2017-06-18 19:57:17,2021-10-03 22:11:01,miro-ka/mosquito,active,3.0,39:24.6
ML_Finance_Codes,https://github.com/mfrdixon/ML_Finance_Codes,accompanying materials for book [Machine Learning in Finance](https://www.springer.com/gp/book/9783030410674) covering probabilistic modeling/sequence modeling/neural networks/reinforcement learning etc.,Other Models,2022-05-12 05:11:05,410.0,183.0,3.0,2019-09-27 16:13:50,2020-06-13 21:20:26,mfrdixon/ML_Finance_Codes,active,3.0,39:24.6
Stock.Indicators,https://github.com/DaveSkender/Stock.Indicators,list of technical indicators implemented in c#. Full list and explanation available [here](https://daveskender.github.io/Stock.Indicators/docs/INDICATORS.html). This list contains several indicators that ta-lib does not cover,Other Models,2022-05-14 19:05:39,462.0,142.0,13.0,2019-12-29 05:18:07,2022-05-06 22:50:35,DaveSkender/Stock.Indicators,active,3.0,39:24.6
surpriver,https://github.com/tradytics/surpriver,Machine learning algo to detect anomaly in equities data. Uses sklearn [IsolationForest](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.IsolationForest.html) model and price/volume based technical signals as features using [ta](https://github.com/bukosabino/ta) library. Opensourced by [tradytics](https://tradytics.com/). Code structures are less extensible,Other Models,2022-05-14 16:48:33,1450.0,280.0,6.0,2020-08-30 07:56:22,2020-09-21 04:32:05,tradytics/surpriver,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,2022-05-09 02:50:14,2294.0,752.0,1.0,2016-09-12 18:38:17,2021-06-24 15:43:54,anfederico/clairvoyant,active,3.0,
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,2022-05-14 11:20:00,1385.0,237.0,10.0,2018-08-29 02:07:02,2022-03-14 23:27:21,georgezouq/awesome-ai-in-finance,active,3.0,39:24.6
Awesome-Quant-Machine-Learning-Trading,https://github.com/grananqvist/Awesome-Quant-Machine-Learning-Trading,curated list of books/online courses/youtube videos/blogs/interviews/papers/code etc. Updates are pretty infrequent,Other Models,2022-05-14 16:08:48,1450.0,416.0,3.0,2018-11-05 21:09:06,2020-10-08 16:48:18,grananqvist/Awesome-Quant-Machine-Learning-Trading,active,5.0,39:24.6
Trend Following,http://inseaddataanalytics.github.io/INSEADAnalytics/ExerciseSet2.html,A futures trend following portfolio investment strategy.,Other Models,,,,,,,,,,
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,2022-05-10 11:28:35,448.0,238.0,1.0,2019-10-10 09:44:02,2019-10-12 11:38:49,yacoubb/stock-trading-ml,inactive,3.0,39:24.6
intelligent-trading-bot,https://github.com/asavinov/intelligent-trading-bot,NEW,Other Models,2022-05-14 11:52:42,163.0,35.0,1.0,2021-10-24 08:34:07,2022-03-19 09:51:29,asavinov/intelligent-trading-bot,active,,2022-01-06 02:02:52.861734
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,2022-05-04 03:13:15,228.0,165.0,4.0,2018-03-15 06:28:00,2021-01-14 15:58:03,PacktPublishing/Machine-Learning-for-Finance,active,3.0,39:24.6
Mixture Models II,https://github.com/BlackArbsCEO/mixture_model_trading_public,Mixture models and stock trading.,Other Models,2022-04-20 04:26:55,179.0,79.0,1.0,2017-12-11 17:05:38,2020-05-13 23:50:47,BlackArbsCEO/mixture_model_trading_public,inactive,3.0,
TradingView-Machine-Learning-GUI,https://github.com/TreborNamor/TradingView-Machine-Learning-GUI,NEW,Other Models,2022-05-14 02:46:34,280.0,133.0,1.0,2021-01-27 06:42:02,2022-05-04 05:02:11,TreborNamor/TradingView-Machine-Learning-GUI,active,,2021-11-04 01:49:57.418614
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,2022-04-28 10:23:07,213.0,126.0,1.0,2017-07-11 09:09:15,2018-02-21 05:36:35,anthonyng2/Machine-Learning-For-Finance,inactive,2.0,39:24.6
Mixture  Models I,https://github.com/BlackArbsCEO/Mixture_Models,Mixture models to predict market bottoms and regime changes based on a seminar given to quantinsti in 2017 and summary and video is [here](https://blog.quantinsti.com/webinar-can-we-use-mixture-models-to-predict-market-bottoms/). Gaussian mixture models are build on markov models and expectation maximization thoery to detect regimes and seminar reported positive results using features asset returns/tedrate/10y2ysptread/10y3m spread from fred which can be access here [fredapi](https://github.com/mortada/fredapi). Though most of the returns came from being long equities after 2009 ,Other Models,2022-03-05 06:44:22,31.0,36.0,1.0,2017-03-20 18:54:24,2017-04-25 23:35:20,BlackArbsCEO/Mixture_Models,inactive,2.0,
MLiFC,https://github.com/JannesKlaas/MLiFC,NEW,Other Models,2022-04-27 14:48:26,101.0,56.0,2.0,2017-09-14 11:47:33,2018-02-27 12:15:11,JannesKlaas/MLiFC,inactive,,2022-03-10 02:10:30.131488
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,2022-05-14 20:59:26,869.0,508.0,2.0,2019-05-07 11:04:25,2021-01-19 07:51:00,PacktPublishing/Hands-On-Machine-Learning-for-Algorithmic-Trading,active,5.0,39:24.6
Stanford-Project-Predicting-stock-prices-using-a-LSTM-Network,https://github.com/dduemig/Stanford-Project-Predicting-stock-prices-using-a-LSTM-Network,NEW,Other Models,2022-05-13 22:09:53,159.0,42.0,1.0,2019-02-19 17:40:43,2020-02-24 14:46:43,dduemig/Stanford-Project-Predicting-stock-prices-using-a-LSTM-Network,inactive,,2021-06-17 01:51:12.428196
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,2022-03-05 06:44:33,103.0,36.0,2.0,2017-09-03 17:43:03,2018-09-12 18:58:38,amicks/Speculator,inactive,3.0,39:24.6
AI-Scalpel-Trading-Bot,https://github.com/hackobi/AI-Scalpel-Trading-Bot,NEW,Other Models,2022-05-06 12:22:50,152.0,29.0,2.0,2019-09-06 07:17:28,2021-06-02 08:12:03,hackobi/AI-Scalpel-Trading-Bot,active,,2021-11-18 01:46:56.309445
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,2022-05-10 20:39:22,598.0,171.0,1.0,2018-07-22 08:14:46,2022-02-12 13:26:40,Hvass-Labs/FinanceOps,active,3.0,
Pattern-Recognition-for-Forex-Trading,https://github.com/PythonProgramming/Pattern-Recognition-for-Forex-Trading,repo for article [pattern recognization for forex trading](https://pythonprogramming.net/machine-learning-pattern-recognition-algorithmic-forex-stock-trading/) not very scalable and not maintained,Other Models,2022-05-13 12:18:44,190.0,98.0,1.0,2015-03-26 02:22:03,2015-03-26 02:33:51,PythonProgramming/Pattern-Recognition-for-Forex-Trading,inactive,1.0,39:24.6
Machine-Learning-for-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,2022-05-01 20:28:31,264.0,131.0,5.0,2018-12-06 11:35:08,2021-01-18 06:40:53,PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Bots-with-Python,active,3.0,39:24.6
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,2022-05-13 16:08:33,302.0,104.0,1.0,2017-01-17 12:44:52,2017-01-17 12:48:17,AdeelMufti/CryptoBot,inactive,2.0,39:24.6
AMLSim,https://github.com/IBM/AMLSim,NEW,Other Models,2022-05-11 23:11:10,137.0,63.0,5.0,2018-12-18 16:14:56,2022-02-14 01:00:28,IBM/AMLSim,active,,2021-07-22 01:53:20.044539
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,2022-05-13 12:19:58,204.0,89.0,1.0,2020-01-06 00:21:58,2021-05-29 18:07:29,saeed349/Microservices-Based-Algorithmic-Trading-System,active,5.0,39:24.6
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,2022-05-14 16:58:36,2941.0,923.0,3.0,2019-02-13 16:57:25,2021-12-01 08:04:50,hudson-and-thames/mlfinlab,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,2022-05-14 21:12:26,779.0,168.0,3.0,2016-02-14 00:47:32,2022-04-23 13:47:59,ScottfreeLLC/AlphaPy,active,4.0,39:24.6
Machine-Learning-for-Asset-Managers,https://github.com/emoen/Machine-Learning-for-Asset-Managers,NEW,Other Models,2022-05-12 11:15:40,203.0,89.0,1.0,2020-06-21 17:56:55,2021-09-01 13:21:21,emoen/Machine-Learning-for-Asset-Managers,active,,2021-11-04 01:49:57.418614
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,2022-04-04 09:21:00,474.0,58.0,1.0,2016-03-11 19:13:00,2020-12-21 03:54:51,melling/MathAndScienceNotes,active,3.0,39:24.6
Scikit-learn Stock Prediction,https://github.com/robertmartin8/MachineLearningStocks,using fundamental and pricing data to predict future stock returns. Sklearn's randomforest classifier is trainded and author claimed positive live trading results. Not actively mainained,Other Models,2022-05-14 17:00:31,1195.0,424.0,2.0,2017-02-12 04:50:44,2021-02-04 03:48:33,robertmartin8/MachineLearningStocks,active,3.0,
mlbot_tutorial,https://github.com/richmanbtc/mlbot_tutorial,NEW,Other Models,2022-05-14 15:36:27,305.0,125.0,2.0,2021-07-19 14:07:12,2022-01-15 10:17:01,richmanbtc/mlbot_tutorial,active,,2021-12-02 01:48:54.299974
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,2022-05-13 03:44:13,462.0,161.0,1.0,2018-06-29 21:21:17,2021-06-07 19:28:50,jjakimoto/finance_ml,active,1.0,39:24.6
Machine Learning in Asset Management—Part 1: Portfolio Construction—Trading Strategies,https://jfds.pm-research.com/content/2/1/10,,Personal Papers,,,,,,,,,,
Machine Learning in Asset Management,https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3420952,,Personal Papers,,,,,,,,,,
Machine Learning in Asset Management—Part 2: Portfolio Construction—Weight Optimization,https://jfds.pm-research.com/content/2/2/17,,Personal Papers,,,,,,,,,,
Financial Event Prediction using Machine Learning,https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3481555,,Personal Papers,,,,,,,,,,
riskparity.py,https://github.com/dppalomar/riskparity.py,NEW,Portfolio Selection and Optimisation,2022-05-14 21:09:03,198.0,53.0,2.0,2019-07-13 21:30:55,2022-03-18 08:14:00,dppalomar/riskparity.py,active,,37:19.5
Online Portfolio Selection,https://nbviewer.jupyter.org/github/paulperry/quant/blob/master/OLPS_Comparison.ipynb,****Comparing OLPS algorithms on a diversified set of ETFs.,Portfolio Selection and Optimisation,,,,,,,,,,
Riskfolio-Lib,https://github.com/dcajasn/Riskfolio-Lib,NEW,Portfolio Selection and Optimisation,2022-05-14 19:56:11,1180.0,220.0,1.0,2020-03-02 19:49:06,2022-05-01 00:46:11,dcajasn/Riskfolio-Lib,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,2022-05-14 04:49:00,283.0,87.0,3.0,2018-11-16 12:20:25,2021-10-10 11:03:23,VivekPa/OptimalPortfolio,active,,
Efficient Frontier,https://github.com/tthustla/efficient_frontier/blob/master/Efficient%20_Frontier_implementation.ipynb,Modern Portfolio Theory.,Portfolio Selection and Optimisation,2022-05-11 07:38:59,136.0,67.0,1.0,2018-02-17 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,2022-02-08 06:29:04,111.0,25.0,3.0,2011-09-17 17:49:56,2022-01-29 10:04:30,albertosantini/node-finance,active,,37:19.5
Deep Portfolio Theory,https://github.com/tcloaa/Deep-Portfolio-Theory,Autoencoder framework for portfolio selection.,Portfolio Selection and Optimisation,2022-03-27 13:49:18,113.0,63.0,1.0,2017-02-10 09:03:08,2018-03-08 16:47:00,tcloaa/Deep-Portfolio-Theory,inactive,,
PyPortfolioOpt,https://github.com/robertmartin8/PyPortfolioOpt,"Financial portfolio optimisation, including classical efficient frontier and advanced methods.",Portfolio Selection and Optimisation,2022-05-14 19:40:38,2778.0,698.0,24.0,2018-05-29 13:30:30,2022-03-23 16:22:11,robertmartin8/PyPortfolioOpt,active,,
OLMAR Algorithm,https://github.com/charlessutton/OLMAR/blob/master/Part3.ipynb,Relative importance of each component of the OLMAR algorithm.,Portfolio Selection and Optimisation,2021-10-12 20:59:37,9.0,6.0,1.0,2016-07-26 16:20:10,2016-12-30 11:40:53,charlessutton/OLMAR,inactive,,
Modern Portfolio Theory,https://nbviewer.jupyter.org/github/Marigold/universal-portfolios/blob/master/modern-portfolio-theory.ipynb,Universal portfolios; modern portfolio theory.,Portfolio Selection and Optimisation,,,,,,,,,,
401K Portfolio Optimisation,https://github.com/otosman/Python-for-Finance/blob/master/Portfolio%20Optimization%20401k.ipynb,Portfolio analyses and optimisation for 401K.,Portfolio Selection and Optimisation,2021-10-12 18:01:05,15.0,6.0,1.0,2018-08-01 19:48:24,2019-09-05 11:18:56,otosman/Python-for-Finance,inactive,,
finance-courses,https://github.com/z4ir3/finance-courses,NEW,Portfolio Selection and Optimisation,2022-05-11 08:36:49,104.0,83.0,1.0,2019-10-10 10:50:03,2022-05-05 11:47:32,z4ir3/finance-courses,active,,2022-03-18 02:12:10.767052
Reinforcement Learning,https://github.com/filangel/qtrader,Reinforcement Learning for Portfolio Management.,Portfolio Selection and Optimisation,2022-05-07 07:04:05,393.0,165.0,1.0,2017-10-07 09:14:33,2018-06-26 09:22:27,filangelos/qtrader,inactive,,
Policy Gradient Portfolio,https://github.com/ZhengyaoJiang/PGPortfolio,A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem.,Portfolio Selection and Optimisation,2022-05-14 11:18:50,1483.0,690.0,6.0,2017-11-12 16:08:44,2021-07-30 15:03:59,ZhengyaoJiang/PGPortfolio,active,,
DeepDow,https://github.com/jankrepl/deepdow,Portfolio optimization with deep learning.,Portfolio Selection and Optimisation,2022-05-11 08:29:23,525.0,92.0,5.0,2020-02-02 08:46:33,2022-04-21 13:51:14,jankrepl/deepdow,active,,
BDCI2019-Negative_Finance_Info_Judge,https://github.com/A-Rain/BDCI2019-Negative_Finance_Info_Judge,NEW,Textual,2022-04-12 22:46:13,118.0,23.0,3.0,2019-12-27 03:49:31,2020-12-04 03:38:57,A-Rain/BDCI2019-Negative_Finance_Info_Judge,active,,24:28.5
Financial Sentiment Analysis,https://github.com/EricHe98/Financial-Statements-Text-Analysis,"Sentiment, distance and proportion analysis for trading signals.",Textual,2022-02-04 08:52:26,57.0,32.0,1.0,2017-06-23 00:05:49,2019-01-26 03:35:55,EricHe98/Financial-Statements-Text-Analysis,inactive,,
FinBERT,https://github.com/psnonis/FinBERT,NEW,Textual,2022-04-14 20:46:29,160.0,59.0,3.0,2019-07-09 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,2022-05-08 13:52:09,137.0,61.0,2.0,2017-05-24 12:36:38,2019-08-07 21:47:08,GitiHubi/deepAI,inactive,,
Financial Statement Sentiment,https://github.com/MAydogdu/TextualAnalysis,Extracting sentiment from financial statements using neural networks.,Textual,2022-01-24 17:10:30,14.0,11.0,1.0,2018-06-04 20:54:14,2018-06-04 20:56:02,MAydogdu/TextualAnalysis,inactive,,
Extensive NLP,https://github.com/TiesdeKok/Python_NLP_Tutorial/blob/master/NLP_Notebook.ipynb,Comprehensive NLP techniques for accounting research.,Textual,2022-04-27 22:03:25,95.0,53.0,1.0,2017-10-25 07:10:26,2020-06-05 03:28:46,TiesdeKok/Python_NLP_Tutorial,active,,
NLP Event,https://github.com/yuriak/DLQuant,Applying Deep Learning and NLP in Quantitative Trading.,Textual,2022-03-16 10:22:53,79.0,36.0,1.0,2018-07-02 23:50:52,2019-01-31 14:08:20,yuriak/DLQuant,inactive,,
financial-news-dataset,https://github.com/philipperemy/financial-news-dataset,NEW,Textual,2022-04-27 13:41:18,167.0,85.0,1.0,2016-08-23 13:29:07,2021-03-04 06:34:24,philipperemy/financial-news-dataset,active,,24:28.5
FinNLP-Progress,https://github.com/YangLinyi/FinNLP-Progress,NEW,Textual,2022-05-13 11:17:49,269.0,40.0,5.0,2020-05-21 09:59:56,2022-04-18 09:21:22,YangLinyi/FinNLP-Progress,active,,24:28.5
NLP,https://github.com/toamitesh/NLPinFinance,This project assembles a lot of NLP operations needed for finance domain.,Textual,,,,,,,toamitesh/NLPinFinance,,,
news-emotion,https://github.com/dongyuanxin/news-emotion,NEW,Textual,2022-04-27 07:07:51,271.0,125.0,1.0,2017-09-14 02:59:03,2018-06-11 13:47:51,dongyuanxin/news-emotion,inactive,,24:28.5
Earning call transcripts,https://github.com/lin882/WebAnalyticsProject,Correlation between mutual fund investment decision and earning call transcripts.,Textual,2021-11-09 08:41:45,5.0,6.0,1.0,2017-12-30 08:56:03,2018-01-11 02:11:11,lin882/WebAnalyticsProject,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,2021-10-12 21:01:15,2.0,7.0,1.0,2018-02-04 21:51:16,2018-02-04 21:57:09,swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds,inactive,,
awesome-financial-nlp,https://github.com/icoxfog417/awesome-financial-nlp,NEW,Textual,2022-05-13 06:37:38,298.0,52.0,2.0,2019-10-03 03:53:20,2020-02-01 08:28:16,icoxfog417/awesome-financial-nlp,inactive,,24:28.5
Fund classification,https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb,Fund classification using text mining and NLP.,Textual,2022-03-24 20:35:24,7.0,6.0,1.0,2018-04-16 22:18:55,2018-06-07 22:01:32,frechfrechfrech/Mutual-Fund-Market-Clusters,inactive,,
PCA Pairs Trading,https://github.com/joelQF/quant-finance/tree/master/Artificial_IntelIigence_for_Trading,"PCA, Factor Returns, and trading strategies.",Unsupervised,,,,,,,joelQF/quant-finance,,,
Eigen-Portfolio,https://github.com/Gustrigos/Eigen-Portfolio,NEW,Unsupervised,2022-05-13 20:10:57,46.0,11.0,1.0,2018-09-05 05:29:18,2020-04-09 21:40:04,Gustrigos/Eigen-Portfolio,inactive,,24:29.9
Credit-Card-Fraud-Detection,https://github.com/sharmaroshan/Credit-Card-Fraud-Detection,NEW,Unsupervised,2022-03-31 03:10:08,11.0,8.0,1.0,2019-03-31 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,2022-04-26 15:11:30,51.0,22.0,1.0,2019-12-22 20:25:48,2021-05-02 04:25:21,judopro/Stock_Support_Resistance_ML,active,,2021-05-07 01:53:28.160570
AnomalyDetectionOnRisk,https://github.com/SimonWesterlindVPD/AnomalyDetectionOnRisk,NEW,Unsupervised,2022-04-07 21:25:08,14.0,6.0,1.0,2018-05-31 15:53:02,2018-05-31 16:18:28,SimonWesterlindVPD/AnomalyDetectionOnRisk,inactive,,24:29.9
Industry Clustering,https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries,Clustering of industries.,Unsupervised,2022-03-08 02:35:05,8.0,12.0,1.0,2017-07-21 02:12:51,2017-07-23 02:53:37,SeanMcOwen/FinanceAndPython.com-ClusteringIndustries,inactive,,
Industry Clustering,https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries,Project to cluster industries according to financial attributes.,Unsupervised,2022-03-08 02:35:05,8.0,12.0,1.0,2017-07-21 02:12:51,2017-07-23 02:53:37,SeanMcOwen/FinanceAndPython.com-ClusteringIndustries,inactive,,
Fund Clusters,https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb,Data exploration of fund clusters.,Unsupervised,2022-03-24 20:35:24,7.0,6.0,1.0,2018-04-16 22:18:55,2018-06-07 22:01:32,frechfrechfrech/Mutual-Fund-Market-Clusters,inactive,,
Pairs Trading,https://github.com/marketneutral/pairs-trading-with-ML/blob/master/Pairs%2BTrading%2Bwith%2BMachine%2BLearning.ipynb,Finding pairs with cluster analysis.,Unsupervised,2022-05-11 06:39:12,109.0,52.0,0.0,2017-09-05 19:19:19,2017-09-27 20:42:14,marketneutral/pairs-trading-with-ML,inactive,,
hmm_market_behavior,https://github.com/lamres/hmm_market_behavior,NEW,Unsupervised,2022-04-26 21:00:18,32.0,26.0,1.0,2019-09-08 17:37:39,2020-05-10 14:36:03,lamres/hmm_market_behavior,inactive,,24:29.9
all-classification-templetes-for-ML,https://github.com/sayantann11/all-classification-templetes-for-ML,NEW,Unsupervised,2022-05-11 17:40:19,62.0,28.0,1.0,2020-05-05 10:28:52,2020-05-05 10:30:32,sayantann11/all-classification-templetes-for-ML,inactive,,24:29.9
VRA Stock Embedding,https://github.com/ml-hongkong/stock2vec,Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history.,Unsupervised,2021-10-12 20:55:20,34.0,13.0,1.0,2017-06-21 04:47:14,2017-06-21 04:51:13,ml-hongkong/stock2vec,inactive,,